Merge pull request data-apis#312 from lucascolley/rel-0.8.0

REL: prepare v0.8.0 release

Author: lucascolley

pixi.lock

@@ -17,7 +17,7 @@
 )
 from ._lib._lazy import lazy_apply
 
-__version__ = "0.8.0.dev0"
+__version__ = "0.8.0"
 
 # pylint: disable=duplicate-code
 __all__ = [

src/array_api_extra/__init__.py

@@ -301,7 +301,9 @@ def meta_namespace(
     return array_namespace(*metas)
 
 
-def capabilities(xp: ModuleType, *, device: Device | None = None) -> dict[str, int]:
+def capabilities(
+    xp: ModuleType, *, device: Device | None = None
+) -> dict[str, int | None]:
     """
     Return patched ``xp.__array_namespace_info__().capabilities()``.
 
@@ -322,7 +324,11 @@ def capabilities(xp: ModuleType, *, device: Device | None = None) -> dict[str, i
     """
     if is_pydata_sparse_namespace(xp):
         # No __array_namespace_info__(); no indexing by sparse arrays
-        return {"boolean indexing": False, "data-dependent shapes": True}
+        return {
+            "boolean indexing": False,
+            "data-dependent shapes": True,
+            "max dimensions": None,
+        }
     out = xp.__array_namespace_info__().capabilities()
     if is_jax_namespace(xp) and out["boolean indexing"]:
         # FIXME https://github.com/jax-ml/jax/issues/27418
@@ -418,7 +424,9 @@ class Pickler(pickle.Pickler):  # numpydoc ignore=GL08
         """
 
         @override
-        def persistent_id(self, obj: object) -> Literal[0, 1, None]:  # pyright: ignore[reportIncompatibleMethodOverride]  # numpydoc ignore=GL08
+        def persistent_id(
+            self, obj: object
+        ) -> Literal[0, 1, None]:  # numpydoc ignore=GL08
             if isinstance(obj, cls):
                 instances.append(obj)  # type: ignore[arg-type]
                 return 0
@@ -483,7 +491,7 @@ class Unpickler(pickle.Unpickler):  # numpydoc ignore=GL08
         """Mirror of the overridden Pickler in pickle_flatten."""
 
         @override
-        def persistent_load(self, pid: Literal[0, 1]) -> object:  # pyright: ignore[reportIncompatibleMethodOverride]  # numpydoc ignore=GL08
+        def persistent_load(self, pid: Literal[0, 1]) -> object:  # numpydoc ignore=GL08
             try:
                 return next(iters[pid])
             except StopIteration as e:

src/array_api_extra/_lib/_utils/_helpers.py

@@ -404,7 +404,6 @@ def test_none(self, args: tuple[tuple[float | None, ...], ...]):
         assert actual == expect
 
 
-@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
 class TestCov:
     def test_basic(self, xp: ModuleType):
         xp_assert_close(
@@ -417,6 +416,7 @@ def test_complex(self, xp: ModuleType):
         expect = xp.asarray([[1.0, -1.0j], [1.0j, 1.0]], dtype=xp.complex128)
         xp_assert_close(actual, expect)
 
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="matmul with nan fillvalue")
     def test_empty(self, xp: ModuleType):
         with warnings.catch_warnings(record=True):
             warnings.simplefilter("always", RuntimeWarning)
@@ -612,7 +612,6 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(y, xp.asarray([[1, 0], [0, 2]]))
 
 
-@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no __array_namespace_info__")
 class TestDefaultDType:
     def test_basic(self, xp: ModuleType):
         assert default_dtype(xp) == xp.empty(0).dtype
@@ -697,7 +696,9 @@ def test_xp(self, xp: ModuleType):
 @pytest.mark.filterwarnings(  # array_api_strictest
     "ignore:invalid value encountered:RuntimeWarning:array_api_strict"
 )
-@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
+@pytest.mark.filterwarnings(  # sparse
+    "ignore:invalid value encountered:RuntimeWarning:sparse"
+)
 class TestIsClose:
     @pytest.mark.parametrize("swap", [False, True])
     @pytest.mark.parametrize(
@@ -815,6 +816,7 @@ def test_bool_dtype(self, xp: ModuleType):
             isclose(xp.asarray(True), b, atol=1), xp.asarray([True, True, True])
         )
 
+    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="index by sparse array")
     @pytest.mark.skip_xp_backend(Backend.ARRAY_API_STRICTEST, reason="unknown shape")
     def test_none_shape(self, xp: ModuleType):
         a = xp.asarray([1, 5, 0])
@@ -823,6 +825,7 @@ def test_none_shape(self, xp: ModuleType):
         a = a[a < 5]
         xp_assert_equal(isclose(a, b), xp.asarray([True, False]))
 
+    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="index by sparse array")
     @pytest.mark.skip_xp_backend(Backend.ARRAY_API_STRICTEST, reason="unknown shape")
     def test_none_shape_bool(self, xp: ModuleType):
         a = xp.asarray([True, True, False])
@@ -919,7 +922,6 @@ def test_kron_shape(
         k = kron(a, b)
         assert k.shape == expected_shape
 
-    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
     def test_python_scalar(self, xp: ModuleType):
         a = 1
         # Test no dtype promotion to xp.asarray(a); use b.dtype
@@ -1138,8 +1140,8 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(actual, expected)
 
 
-@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
 class TestSinc:
+    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no linspace")
     def test_simple(self, xp: ModuleType):
         xp_assert_equal(sinc(xp.asarray(0.0)), xp.asarray(1.0))
         w = sinc(xp.linspace(-1, 1, 100))
@@ -1151,6 +1153,7 @@ def test_dtype(self, xp: ModuleType, x: int | complex):
         with pytest.raises(ValueError, match="real floating data type"):
             _ = sinc(xp.asarray(x))
 
+    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no arange")
     def test_3d(self, xp: ModuleType):
         x = xp.reshape(xp.arange(18, dtype=xp.float64), (3, 3, 2))
         expected = xp.zeros((3, 3, 2), dtype=xp.float64)

tests/test_funcs.py

@@ -79,7 +79,6 @@ def test_xp(self, xp: ModuleType):
 
 
 class TestAsArrays:
-    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
     @pytest.mark.parametrize(
         ("dtype", "b", "defined"),
         [

tests/test_helpers.py

@@ -38,12 +38,7 @@ def test_device(self, xp: ModuleType, device: Device):
 
 
 class TestAssertEqualCloseLess:
-    pr_assert_close = pytest.param(  # pyright: ignore[reportUnannotatedClassAttribute]
-        xp_assert_close,
-        marks=pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype"),
-    )
-
-    @pytest.mark.parametrize("func", [xp_assert_equal, pr_assert_close])
+    @pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close])
     def test_assert_equal_close_basic(self, xp: ModuleType, func: Callable[..., None]):
         func(xp.asarray(0), xp.asarray(0))
         func(xp.asarray([1, 2]), xp.asarray([1, 2]))
@@ -75,7 +70,7 @@ def test_namespace(self, xp: ModuleType, func: Callable[..., None]):
         with pytest.raises(TypeError, match="list is not a supported array type"):
             func(xp.asarray([0]), [0])
 
-    @pytest.mark.parametrize("func", [xp_assert_equal, pr_assert_close, xp_assert_less])
+    @pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close, xp_assert_less])
     def test_check_shape(self, xp: ModuleType, func: Callable[..., None]):
         a = xp.asarray([1] if func is xp_assert_less else [2])
         b = xp.asarray(2)
@@ -90,7 +85,7 @@ def test_check_shape(self, xp: ModuleType, func: Callable[..., None]):
         with pytest.raises(AssertionError, match="sizes do not match"):
             func(a, d, check_shape=False)
 
-    @pytest.mark.parametrize("func", [xp_assert_equal, pr_assert_close, xp_assert_less])
+    @pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close, xp_assert_less])
     def test_check_dtype(self, xp: ModuleType, func: Callable[..., None]):
         a = xp.asarray(1 if func is xp_assert_less else 2)
         b = xp.asarray(2, dtype=xp.int16)
@@ -102,7 +97,7 @@ def test_check_dtype(self, xp: ModuleType, func: Callable[..., None]):
         with pytest.raises(AssertionError, match="Mismatched elements"):
             func(a, c, check_dtype=False)
 
-    @pytest.mark.parametrize("func", [xp_assert_equal, pr_assert_close, xp_assert_less])
+    @pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close, xp_assert_less])
     @pytest.mark.xfail_xp_backend(
         Backend.SPARSE, reason="sparse [()] returns np.generic"
     )
@@ -122,7 +117,6 @@ def test_check_scalar(
         with pytest.raises(AssertionError, match="Mismatched elements"):
             func(a, c, check_scalar=True)
 
-    @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
     @pytest.mark.parametrize("dtype", ["int64", "float64"])
     def test_assert_close_tolerance(self, dtype: str, xp: ModuleType):
         a = xp.asarray([100], dtype=getattr(xp, dtype))
@@ -145,7 +139,7 @@ def test_assert_less(self, xp: ModuleType):
         with pytest.raises(AssertionError, match="Mismatched elements"):
             xp_assert_less(xp.asarray([1, 1]), xp.asarray([2, 1]))
 
-    @pytest.mark.parametrize("func", [xp_assert_equal, pr_assert_close, xp_assert_less])
+    @pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close, xp_assert_less])
     @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="index by sparse array")
     @pytest.mark.skip_xp_backend(Backend.ARRAY_API_STRICTEST, reason="boolean indexing")
     def test_none_shape(self, xp: ModuleType, func: Callable[..., None]):
@@ -176,7 +170,7 @@ def test_none_shape(self, xp: ModuleType, func: Callable[..., None]):
         with pytest.raises(AssertionError, match="Mismatched elements"):
             func(xp.asarray([4]), a)
 
-    @pytest.mark.parametrize("func", [xp_assert_equal, pr_assert_close, xp_assert_less])
+    @pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close, xp_assert_less])
     def test_device(self, xp: ModuleType, device: Device, func: Callable[..., None]):
         a = xp.asarray([1] if func is xp_assert_less else [2], device=device)
         b = xp.asarray([2], device=device)