diff --git a/pixi.lock b/pixi.lock
index 00c8feef..10e70ff2 100644
--- a/pixi.lock
+++ b/pixi.lock
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sha256: ec91e86eeb2c6bbf09d51351b851e945185d70661d2ada67204c9a6419d282d3
md5: 3b3e64af585eadfb52bb90b553db5edf
@@ -13252,17 +13111,17 @@ packages:
- pkg:pypi/snowballstemmer?source=hash-mapping
size: 58824
timestamp: 1637143137377
-- conda: https://prefix.dev/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
- sha256: 0cea408397d50c2afb2d25e987ebac4546ae11e549d65b1403d80dc368dfaaa6
- md5: 6d6552722448103793743dabfbda532d
+- conda: https://prefix.dev/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_1.conda
+ sha256: d1e3e06b5cf26093047e63c8cc77b70d970411c5cbc0cb1fad461a8a8df599f7
+ md5: 0401a17ae845fa72c7210e206ec5647d
depends:
- - python >=2.7
+ - python >=3.9
license: Apache-2.0
license_family: APACHE
purls:
- pkg:pypi/sortedcontainers?source=hash-mapping
- size: 26314
- timestamp: 1621217159824
+ size: 28657
+ timestamp: 1738440459037
- conda: https://prefix.dev/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
sha256: 54ae221033db8fbcd4998ccb07f3c3828b4d77e73b0c72b18c1d6a507059059c
md5: 3f144b2c34f8cb5a9abd9ed23a39c561
@@ -13328,18 +13187,18 @@ packages:
- pkg:pypi/sphinx-autodoc-typehints?source=hash-mapping
size: 24055
timestamp: 1737099757820
-- conda: https://prefix.dev/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda
- sha256: 091293964075ed1905731d09ff2691e053cd9d5335d99501f05683da29de0ee7
- md5: 463d989a8f1506bcf51cc37d7beebdf1
+- conda: https://prefix.dev/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_3.conda
+ sha256: 90d900d31afe0bd6f42cf1e529e23e6eac4284b48bc64e5e942f19f5bf8ef0f2
+ md5: a090580065b21d9c56662ebe68f6e7a6
depends:
- - python >=3.7
+ - python >=3.9
- sphinx >=4.0
license: MIT
license_family: MIT
purls:
- pkg:pypi/sphinx-basic-ng?source=hash-mapping
- size: 20338
- timestamp: 1727436819491
+ size: 20495
+ timestamp: 1737748706101
- conda: https://prefix.dev/conda-forge/noarch/sphinx-copybutton-0.5.2-pyhd8ed1ab_1.conda
sha256: 8cd892e49cb4d00501bc4439fb0c73ca44905f01a65b2b7fa05ba0e8f3924f19
md5: bf22cb9c439572760316ce0748af3713
@@ -13464,17 +13323,6 @@ packages:
- pkg:pypi/sympy?source=hash-mapping
size: 4523617
timestamp: 1736248315124
-- conda: https://prefix.dev/conda-forge/noarch/sysroot_linux-64-2.17-h0157908_18.conda
- sha256: 69ab5804bdd2e8e493d5709eebff382a72fab3e9af6adf93a237ccf8f7dbd624
- md5: 460eba7851277ec1fd80a1a24080787a
- depends:
- - kernel-headers_linux-64 3.10.0 he073ed8_18
- - tzdata
- license: LGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0
- license_family: GPL
- purls: []
- size: 15166921
- timestamp: 1735290488259
- conda: https://prefix.dev/conda-forge/noarch/tabulate-0.9.0-pyhd8ed1ab_2.conda
sha256: 090023bddd40d83468ef86573976af8c514f64119b2bd814ee63a838a542720a
md5: 959484a66b4b76befcddc4fa97c95567
@@ -13697,13 +13545,13 @@ packages:
- pkg:pypi/traitlets?source=hash-mapping
size: 110051
timestamp: 1733367480074
-- conda: https://prefix.dev/conda-forge/linux-64/triton-3.1.0-cuda126py310h382487b_5.conda
- sha256: 9a7f61c8d3abcff0ef6943386d9c7c9aa1537bb2c4ecdbff87387f1a16c515fc
- md5: 07c0e5ff719b58a2a36ab17fe30dd339
+- conda: https://prefix.dev/conda-forge/linux-64/triton-3.1.0-cuda126py310h382487b_6.conda
+ sha256: c8279559c8492cf3f2a59cfb82514729535524dd7fd9f3dd453bb69778c4faf9
+ md5: 6f83091c91300f29a580631326772028
depends:
- python
- setuptools
- - cuda-nvcc
+ - cuda-nvcc-tools
- cuda-cuobjdump
- cuda-cudart
- cuda-cupti
@@ -13711,38 +13559,40 @@ packages:
- libgcc >=13
- __glibc >=2.17,<3.0.a0
- cuda-version >=12.6,<13
+ - cuda-cupti >=12.6.80,<13.0a0
- libzlib >=1.3.1,<2.0a0
+ - libllvm19 >=19.1.7,<19.2.0a0
- python_abi 3.10.* *_cp310
- - cuda-cupti >=12.6.80,<13.0a0
- - libllvm19 >=19.1.6,<19.2.0a0
license: MIT
license_family: MIT
- purls: []
- size: 93052047
- timestamp: 1736674076031
-- conda: https://prefix.dev/conda-forge/linux-64/triton-3.1.0-cuda126py312h776fbae_5.conda
- sha256: 1a8f6953264d678191ce3ca05fb7f78f8ad6395422d5a5702c86b567e4855c47
- md5: 6a0847b2bd6cad5909799ef8f8aea86b
+ purls:
+ - pkg:pypi/triton?source=hash-mapping
+ size: 93052372
+ timestamp: 1738274687283
+- conda: https://prefix.dev/conda-forge/linux-64/triton-3.1.0-cuda126py312h776fbae_6.conda
+ sha256: 55cfdc76abb8db857a1417fd60905a49b09d598d6b753bdaaa03e126c4b46fa2
+ md5: eaed01d9db78af46cbf8e336ec1ce7c2
depends:
- python
- setuptools
- - cuda-nvcc
+ - cuda-nvcc-tools
- cuda-cuobjdump
- cuda-cudart
- cuda-cupti
+ - cuda-version >=12.6,<13
- __glibc >=2.17,<3.0.a0
- libstdcxx >=13
- libgcc >=13
- - cuda-version >=12.6,<13
- - libllvm19 >=19.1.6,<19.2.0a0
- - libzlib >=1.3.1,<2.0a0
- cuda-cupti >=12.6.80,<13.0a0
+ - libllvm19 >=19.1.7,<19.2.0a0
+ - libzlib >=1.3.1,<2.0a0
- python_abi 3.12.* *_cp312
license: MIT
license_family: MIT
- purls: []
- size: 93331362
- timestamp: 1736673988637
+ purls:
+ - pkg:pypi/triton?source=hash-mapping
+ size: 93331078
+ timestamp: 1738274677208
- conda: https://prefix.dev/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda
noarch: python
sha256: c8e9c1c467b5f960b627d7adc1c65fece8e929a3de89967e91ef0f726422fd32
diff --git a/pyproject.toml b/pyproject.toml
index d15aba84..ab3b015d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -181,7 +181,10 @@ xfail_strict = true
filterwarnings = ["error"]
log_cli_level = "INFO"
testpaths = ["tests"]
-markers = ["skip_xp_backend(library, *, reason=None): Skip test for a specific backend"]
+markers = [
+ "skip_xp_backend(library, *, reason=None): Skip test for a specific backend",
+ "xfail_xp_backend(library, *, reason=None): Xfail test for a specific backend",
+]
# Coverage
diff --git a/src/array_api_extra/_lib/_testing.py b/src/array_api_extra/_lib/_testing.py
index ac4ae586..3cd72942 100644
--- a/src/array_api_extra/_lib/_testing.py
+++ b/src/array_api_extra/_lib/_testing.py
@@ -8,6 +8,8 @@
import math
from types import ModuleType
+import pytest
+
from ._utils._compat import (
array_namespace,
is_cupy_namespace,
@@ -170,3 +172,21 @@ def xp_assert_close(
np.testing.assert_allclose(
actual, desired, rtol=rtol, atol=atol, err_msg=err_msg
)
+
+
+def xfail(request: pytest.FixtureRequest, reason: str) -> None:
+ """
+ XFAIL the currently running test.
+
+ Unlike ``pytest.xfail``, allow rest of test to execute instead of immediately
+ halting it, so that it may result in a XPASS.
+ xref https://github.com/pandas-dev/pandas/issues/38902
+
+ Parameters
+ ----------
+ request : pytest.FixtureRequest
+ ``request`` argument of the test function.
+ reason : str
+ Reason for the expected failure.
+ """
+ request.node.add_marker(pytest.mark.xfail(reason=reason))
diff --git a/tests/conftest.py b/tests/conftest.py
index 4402c067..e1a75e2e 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -2,7 +2,7 @@
from collections.abc import Callable
from contextlib import suppress
-from functools import wraps
+from functools import partial, wraps
from types import ModuleType
from typing import ParamSpec, TypeVar, cast
@@ -10,6 +10,7 @@
import pytest
from array_api_extra._lib import Backend
+from array_api_extra._lib._testing import xfail
from array_api_extra._lib._utils._compat import array_namespace
from array_api_extra._lib._utils._compat import device as get_device
from array_api_extra._lib._utils._typing import Device
@@ -32,16 +33,20 @@ def library(request: pytest.FixtureRequest) -> Backend: # numpydoc ignore=PR01,
"""
elem = cast(Backend, request.param)
- for marker in request.node.iter_markers("skip_xp_backend"):
- skip_library = marker.kwargs.get("library") or marker.args[0] # type: ignore[no-untyped-usage]
- if not isinstance(skip_library, Backend):
- msg = "argument of skip_xp_backend must be a Backend enum"
- raise TypeError(msg)
- if skip_library == elem:
- reason = skip_library.value
- with suppress(KeyError):
- reason += ":" + cast(str, marker.kwargs["reason"])
- pytest.skip(reason=reason)
+ for marker_name, skip_or_xfail in (
+ ("skip_xp_backend", pytest.skip),
+ ("xfail_xp_backend", partial(xfail, request)),
+ ):
+ for marker in request.node.iter_markers(marker_name):
+ library = marker.kwargs.get("library") or marker.args[0] # type: ignore[no-untyped-usage]
+ if not isinstance(library, Backend):
+ msg = f"argument of {marker_name} must be a Backend enum"
+ raise TypeError(msg)
+ if library == elem:
+ reason = library.value
+ with suppress(KeyError):
+ reason += ":" + cast(str, marker.kwargs["reason"])
+ skip_or_xfail(reason=reason)
return elem
diff --git a/tests/test_at.py b/tests/test_at.py
index e5c1bbee..447b099e 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -11,7 +11,7 @@
from array_api_extra import at
from array_api_extra._lib import Backend
from array_api_extra._lib._at import _AtOp
-from array_api_extra._lib._testing import xp_assert_equal
+from array_api_extra._lib._testing import xfail, xp_assert_equal
from array_api_extra._lib._utils._compat import array_namespace, is_writeable_array
from array_api_extra._lib._utils._typing import Array, Index
from array_api_extra.testing import lazy_xp_function
@@ -80,10 +80,12 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
@pytest.mark.parametrize(
("kwargs", "expect_copy"),
[
- ({"copy": True}, True),
- ({"copy": False}, False),
- ({"copy": None}, None), # Behavior is backend-specific
- ({}, None), # Test that the copy parameter defaults to None
+ pytest.param({"copy": True}, True, id="copy=True"),
+ pytest.param({"copy": False}, False, id="copy=False"),
+ # Behavior is backend-specific
+ pytest.param({"copy": None}, None, id="copy=None"),
+ # Test that the copy parameter defaults to None
+ pytest.param({}, None, id="no copy kwarg"),
],
)
@pytest.mark.parametrize(
@@ -109,10 +111,10 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
True,
True,
marks=(
- pytest.mark.skip_xp_backend(
+ pytest.mark.skip_xp_backend( # test passes when copy=False
Backend.JAX, reason="bool mask update with shaped rhs"
),
- pytest.mark.skip_xp_backend(
+ pytest.mark.xfail_xp_backend(
Backend.DASK, reason="bool mask update with shaped rhs"
),
),
@@ -177,7 +179,12 @@ def test_alternate_index_syntax():
@pytest.mark.parametrize("bool_mask", [False, True])
@pytest.mark.parametrize("op", list(_AtOp))
def test_incompatible_dtype(
- xp: ModuleType, library: Backend, op: _AtOp, copy: bool | None, bool_mask: bool
+ xp: ModuleType,
+ library: Backend,
+ request: pytest.FixtureRequest,
+ op: _AtOp,
+ copy: bool | None,
+ bool_mask: bool,
):
"""Test that at() replicates the backend's behaviour for
in-place operations with incompatible dtypes.
@@ -208,8 +215,8 @@ def test_incompatible_dtype(
z = at_op(x, idx, op, 1.1, copy=copy)
elif library is Backend.DASK:
- if op in (_AtOp.MIN, _AtOp.MAX):
- pytest.xfail(reason="need array-api-compat 1.11")
+ if op in (_AtOp.MIN, _AtOp.MAX) and bool_mask:
+ xfail(request, reason="need array-api-compat 1.11")
z = at_op(x, idx, op, 1.1, copy=copy)
elif library is Backend.ARRAY_API_STRICT and op is not _AtOp.SET:
@@ -234,8 +241,18 @@ def test_bool_mask_nd(xp: ModuleType):
xp_assert_equal(z, xp.asarray([[0, 2, 3], [4, 0, 0]]))
-@pytest.mark.skip_xp_backend(Backend.DASK, reason="FIXME need scipy's lazywhere")
-@pytest.mark.parametrize("bool_mask", [False, True])
+@pytest.mark.parametrize(
+ "bool_mask",
+ [
+ False,
+ pytest.param(
+ True,
+ marks=pytest.mark.xfail_xp_backend(
+ Backend.DASK, reason="FIXME need scipy's lazywhere"
+ ),
+ ),
+ ],
+)
def test_no_inf_warnings(xp: ModuleType, bool_mask: bool):
x = xp.asarray([math.inf, 1.0, 2.0])
idx = ~xp.isinf(x) if bool_mask else slice(1, None)
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 2c265b23..2b900a85 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -41,7 +41,7 @@
lazy_xp_function(sinc, jax_jit=False, static_argnames="xp")
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no expand_dims")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no expand_dims")
class TestAtLeastND:
def test_0D(self, xp: ModuleType):
x = xp.asarray(1.0)
@@ -108,12 +108,12 @@ def test_device(self, xp: ModuleType, device: Device):
assert get_device(atleast_nd(x, ndim=2)) == device
def test_xp(self, xp: ModuleType):
- x = xp.asarray(1)
- y = atleast_nd(x, ndim=0, xp=xp)
- xp_assert_equal(y, x)
+ x = xp.asarray(1.0)
+ y = atleast_nd(x, ndim=1, xp=xp)
+ xp_assert_equal(y, xp.ones((1,)))
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
class TestCov:
def test_basic(self, xp: ModuleType):
xp_assert_close(
@@ -152,7 +152,7 @@ def test_device(self, xp: ModuleType, device: Device):
x = xp.asarray([1, 2, 3], device=device)
assert get_device(cov(x)) == device
- @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="explicit xp")
+ @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="xp=xp")
def test_xp(self, xp: ModuleType):
xp_assert_close(
cov(xp.asarray([[0.0, 2.0], [1.0, 1.0], [2.0, 0.0]]).T, xp=xp),
@@ -160,8 +160,8 @@ def test_xp(self, xp: ModuleType):
)
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
class TestCreateDiagonal:
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no device kwarg in zeros()")
def test_1d(self, xp: ModuleType):
# from np.diag tests
vals = 100 * xp.arange(5, dtype=xp.float64)
@@ -177,6 +177,7 @@ def test_1d(self, xp: ModuleType):
xp_assert_equal(create_diagonal(vals, offset=2), b)
xp_assert_equal(create_diagonal(vals, offset=-2), c)
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no device kwarg in zeros()")
@pytest.mark.parametrize("n", range(1, 10))
@pytest.mark.parametrize("offset", range(1, 10))
def test_create_diagonal(self, xp: ModuleType, n: int, offset: int):
@@ -196,20 +197,22 @@ def test_2d(self, xp: ModuleType):
with pytest.raises(ValueError, match="1-dimensional"):
create_diagonal(xp.asarray([[1]]))
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no device kwarg in zeros()")
def test_device(self, xp: ModuleType, device: Device):
x = xp.asarray([1, 2, 3], device=device)
assert get_device(create_diagonal(x)) == device
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no device kwarg in zeros()")
def test_xp(self, xp: ModuleType):
x = xp.asarray([1, 2])
y = create_diagonal(x, xp=xp)
xp_assert_equal(y, xp.asarray([[1, 0], [0, 2]]))
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no expand_dims")
class TestExpandDims:
- @pytest.mark.skip_xp_backend(Backend.DASK, reason="tuple index out of range")
- @pytest.mark.skip_xp_backend(Backend.TORCH, reason="tuple index out of range")
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no expand_dims")
+ @pytest.mark.xfail_xp_backend(Backend.DASK, reason="tuple index out of range")
+ @pytest.mark.xfail_xp_backend(Backend.TORCH, reason="tuple index out of range")
def test_functionality(self, xp: ModuleType):
def _squeeze_all(b: Array) -> Array:
"""Mimics `np.squeeze(b)`. `xpx.squeeze`?"""
@@ -225,6 +228,7 @@ def _squeeze_all(b: Array) -> Array:
assert b.shape[axis] == 1
assert _squeeze_all(b).shape == s
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no expand_dims")
def test_axis_tuple(self, xp: ModuleType):
a = xp.empty((3, 3, 3))
assert expand_dims(a, axis=(0, 1, 2)).shape == (1, 1, 1, 3, 3, 3)
@@ -257,17 +261,19 @@ def test_positive_negative_repeated(self, xp: ModuleType):
with pytest.raises(ValueError, match="Duplicate dimensions"):
expand_dims(a, axis=(3, -3))
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no expand_dims")
def test_device(self, xp: ModuleType, device: Device):
x = xp.asarray([1, 2, 3], device=device)
assert get_device(expand_dims(x, axis=0)) == device
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no expand_dims")
def test_xp(self, xp: ModuleType):
x = xp.asarray([1, 2, 3])
y = expand_dims(x, axis=(0, 1, 2), xp=xp)
assert y.shape == (1, 1, 1, 3)
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
class TestIsClose:
# FIXME use lazywhere to avoid warnings on inf
@pytest.mark.filterwarnings("ignore:invalid value encountered")
@@ -402,7 +408,7 @@ def test_none_shape_bool(self, xp: ModuleType):
xp_assert_equal(isclose(a, b), xp.asarray([True, False]))
@pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="xp=xp")
- @pytest.mark.skip_xp_backend(Backend.TORCH, reason="Array API 2024.12 support")
+ @pytest.mark.xfail_xp_backend(Backend.TORCH, reason="Array API 2024.12 support")
def test_python_scalar(self, xp: ModuleType):
a = xp.asarray([0.0, 0.1], dtype=xp.float32)
xp_assert_equal(isclose(a, 0.0), xp.asarray([True, False]))
@@ -425,7 +431,7 @@ def test_xp(self, xp: ModuleType):
xp_assert_equal(isclose(a, b, xp=xp), xp.asarray([True, False]))
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no expand_dims")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no expand_dims")
class TestKron:
def test_basic(self, xp: ModuleType):
# Using 0-dimensional array
@@ -526,7 +532,7 @@ def test_xp(self, xp: ModuleType):
xp_assert_equal(nunique(a, xp=xp), xp.asarray(3))
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no arange, no device")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no arange, no device")
class TestPad:
def test_simple(self, xp: ModuleType):
a = xp.arange(1, 4)
@@ -576,10 +582,24 @@ def test_sequence_of_tuples_width(self, xp: ModuleType):
assert padded.shape == (4, 4)
-@pytest.mark.skip_xp_backend(Backend.DASK, reason="no argsort")
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device kwarg in asarray")
+assume_unique = pytest.mark.parametrize(
+ "assume_unique",
+ [
+ True,
+ pytest.param(
+ False,
+ marks=pytest.mark.xfail_xp_backend(
+ Backend.DASK, reason="NaN-shaped arrays"
+ ),
+ ),
+ ],
+)
+
+
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no device kwarg in asarray()")
class TestSetDiff1D:
- @pytest.mark.skip_xp_backend(
+ @pytest.mark.xfail_xp_backend(Backend.DASK, reason="NaN-shaped arrays")
+ @pytest.mark.xfail_xp_backend(
Backend.TORCH, reason="index_select not implemented for uint32"
)
def test_setdiff1d(self, xp: ModuleType):
@@ -608,7 +628,7 @@ def test_assume_unique(self, xp: ModuleType):
actual = setdiff1d(x1, x2, assume_unique=True)
xp_assert_equal(actual, expected)
- @pytest.mark.parametrize("assume_unique", [True, False])
+ @assume_unique
@pytest.mark.parametrize("shape1", [(), (1,), (1, 1)])
@pytest.mark.parametrize("shape2", [(), (1,), (1, 1)])
def test_shapes(
@@ -623,8 +643,8 @@ def test_shapes(
actual = setdiff1d(x1, x2, assume_unique=assume_unique)
xp_assert_equal(actual, xp.empty((0,)))
+ @assume_unique
@pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="xp=xp")
- @pytest.mark.parametrize("assume_unique", [True, False])
def test_python_scalar(self, xp: ModuleType, assume_unique: bool):
# Test no dtype promotion to xp.asarray(x2); use x1.dtype
x1 = xp.asarray([3, 1, 2], dtype=xp.int16)
@@ -645,21 +665,22 @@ def test_all_python_scalars(self, assume_unique: bool):
with pytest.raises(TypeError, match="Unrecognized"):
setdiff1d(0, 0, assume_unique=assume_unique)
- def test_device(self, xp: ModuleType, device: Device):
+ @assume_unique
+ def test_device(self, xp: ModuleType, device: Device, assume_unique: bool):
x1 = xp.asarray([3, 8, 20], device=device)
x2 = xp.asarray([2, 3, 4], device=device)
- assert get_device(setdiff1d(x1, x2)) == device
+ assert get_device(setdiff1d(x1, x2, assume_unique=assume_unique)) == device
- @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="explicit xp")
+ @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="xp=xp")
def test_xp(self, xp: ModuleType):
x1 = xp.asarray([3, 8, 20])
x2 = xp.asarray([2, 3, 4])
expected = xp.asarray([8, 20])
- actual = setdiff1d(x1, x2, xp=xp)
+ actual = setdiff1d(x1, x2, assume_unique=True, xp=xp)
xp_assert_equal(actual, expected)
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
class TestSinc:
def test_simple(self, xp: ModuleType):
xp_assert_equal(sinc(xp.asarray(0.0)), xp.asarray(1.0))
diff --git a/tests/test_testing.py b/tests/test_testing.py
index 7d4ed0ad..c9a1e32f 100644
--- a/tests/test_testing.py
+++ b/tests/test_testing.py
@@ -23,7 +23,7 @@
xp_assert_equal,
pytest.param(
xp_assert_close,
- marks=pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype"),
+ marks=pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype"),
),
],
)
@@ -49,17 +49,17 @@ def test_assert_close_equal_basic(xp: ModuleType, func: Callable[..., None]): #
@pytest.mark.skip_xp_backend(Backend.NUMPY, reason="test other ns vs. numpy")
@pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="test other ns vs. numpy")
-@param_assert_equal_close
+@pytest.mark.parametrize("func", [xp_assert_equal, xp_assert_close])
def test_assert_close_equal_namespace(xp: ModuleType, func: Callable[..., None]): # type: ignore[no-any-explicit]
- with pytest.raises(AssertionError):
+ with pytest.raises(AssertionError, match="namespaces do not match"):
func(xp.asarray(0), np.asarray(0))
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match="Unrecognized array input"):
func(xp.asarray(0), 0)
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match="list is not a supported array type"):
func(xp.asarray([0]), [0])
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
def test_assert_close_tolerance(xp: ModuleType):
xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), rtol=0.03)
with pytest.raises(AssertionError):
@@ -71,7 +71,7 @@ def test_assert_close_tolerance(xp: ModuleType):
@param_assert_equal_close
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no bool indexing by sparse arrays")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no bool indexing")
def test_assert_close_equal_none_shape(xp: ModuleType, func: Callable[..., None]): # type: ignore[no-any-explicit]
"""On dask and other lazy backends, test that a shape with NaN's or None's
can be compared to a real shape.
diff --git a/tests/test_utils.py b/tests/test_utils.py
index d9f50362..699f25f1 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -17,12 +17,23 @@
class TestIn1D:
- @pytest.mark.skip_xp_backend(Backend.DASK, reason="no argsort")
- @pytest.mark.skip_xp_backend(
- Backend.SPARSE, reason="no unique_inverse, no device kwarg in asarray"
+ @pytest.mark.xfail_xp_backend(
+ Backend.SPARSE, reason="no unique_inverse, no device kwarg in asarray()"
)
# cover both code paths
- @pytest.mark.parametrize("n", [9, 15])
+ @pytest.mark.parametrize(
+ "n",
+ [
+ pytest.param(9, id="fast path"),
+ pytest.param(
+ 15,
+ id="slow path",
+ marks=pytest.mark.xfail_xp_backend(
+ Backend.DASK, reason="NaN-shaped array"
+ ),
+ ),
+ ],
+ )
def test_no_invert_assume_unique(self, xp: ModuleType, n: int):
x1 = xp.asarray([3, 8, 20])
x2 = xp.arange(n)
@@ -30,14 +41,14 @@ def test_no_invert_assume_unique(self, xp: ModuleType, n: int):
actual = in1d(x1, x2)
xp_assert_equal(actual, expected)
- @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device kwarg in asarray")
+ @pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no device kwarg in asarray")
def test_device(self, xp: ModuleType, device: Device):
x1 = xp.asarray([3, 8, 20], device=device)
x2 = xp.asarray([2, 3, 4], device=device)
assert get_device(in1d(x1, x2)) == device
- @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="explicit xp")
- @pytest.mark.skip_xp_backend(
+ @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY, reason="xp=xp")
+ @pytest.mark.xfail_xp_backend(
Backend.SPARSE, reason="no arange, no device kwarg in asarray"
)
def test_xp(self, xp: ModuleType):
@@ -48,7 +59,7 @@ def test_xp(self, xp: ModuleType):
xp_assert_equal(actual, expected)
-@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
+@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="no isdtype")
@pytest.mark.parametrize(
("dtype", "b", "defined"),
[