Repository navigation
CI #2138
inducerci.yml
on: schedule
Typos
6s
Ruff
7s
basedpyright
2m 2s
Pytest Conda Py3 POCL
2m 48s
Pytest Conda Py3 Intel
1m 50s
Examples Conda Py3
1m 25s
Documentation
1m 57s
Matrix: downstream_tests
Annotations
11 errors, 41 warnings, and 9 notices
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L1017
test_flatten_array_container[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>1-512]
assert array(nan) < 1e-15
+ where array(nan) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37593914f0>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((array([DOFArray((TaggableCLArray(shape=(512,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)),\n ...TaggableCLArray(shape=(512,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))],\n dtype=object) - array([DOFArray((TaggableCLArray(shape=(512,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)),\n ...TaggableCLArray(shape=(512,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))],\n dtype=object)))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f375c10fb10>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f375c10fb10> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37593914f0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f375c10fb10>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37593914f0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f375c10fb10>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37593914f0>.np
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L1165
test_norm_ord_none[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0-3]
AssertionError:
Not equal to tolerance rtol=1e-07, atol=0
nan location mismatch:
ACTUAL: array(nan)
DESIRED: array(5.827122)
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L1017
test_flatten_array_container[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0-shapes4]
assert array(nan) < 1e-15
+ where array(nan) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37558f3ee0>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((DOFArray((TaggableCLArray(shape=(64, 7), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=froz...gableCLArray(shape=(154, 12), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=frozenset()))))) - DOFArray((TaggableCLArray(shape=(64, 7), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=froz...gableCLArray(shape=(154, 12), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=frozenset())))))))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739425810>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739425810> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37558f3ee0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739425810>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37558f3ee0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739425810>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37558f3ee0>.np
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L1017
test_flatten_array_container[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0-shapes3]
assert array(23.04343724) < 1e-15
+ where array(23.04343724) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744137330>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((DOFArray((TaggableCLArray(shape=(127, 67), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=fr...aggableCLArray(shape=(18, 0), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=frozenset()))))) - DOFArray((TaggableCLArray(shape=(127, 67), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=fr...aggableCLArray(shape=(18, 0), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=frozenset())))))))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f37394bb570>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f37394bb570> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744137330>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f37394bb570>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744137330>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f37394bb570>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744137330>.np
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L1017
test_flatten_array_container[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0-shapes2]
assert array(23.15167381) < 1e-15
+ where array(23.15167381) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37559560a0>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((DOFArray((TaggableCLArray(shape=(128, 67), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=frozenset()))),)) - DOFArray((TaggableCLArray(shape=(128, 67), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()), Axis(tags=frozenset()))),))))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f373a5e4dc0>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f373a5e4dc0> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37559560a0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f373a5e4dc0>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37559560a0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f373a5e4dc0>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f37559560a0>.np
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L1017
test_flatten_array_container[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0-512]
assert array(nan) < 1e-15
+ where array(nan) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744135c80>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((DOFArray((TaggableCLArray(shape=(512,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)) - DOFArray((TaggableCLArray(shape=(512,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739405810>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739405810> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744135c80>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739405810>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744135c80>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3739405810>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3744135c80>.np
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L913
test_container_arithmetic[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>1]
AssertionError: assert array(nan) < 1e-08
+ where array(nan) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c1da6d0>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)) - (2 * array([DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)),\n...ggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))],\n dtype=object))))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d2c3f17f0>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d2c3f17f0> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c1da6d0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d2c3f17f0>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c1da6d0>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d2c3f17f0>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c1da6d0>.np
+ and DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)) = MyContainerDOFBcast(name='container', mass=DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), ...enthalpy=DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))).mass
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L913
test_container_arithmetic[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0]
AssertionError: assert array(nan) < 1e-08
+ where array(nan) = to_numpy(TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()))
+ where to_numpy = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c14d470>.to_numpy
+ and TaggableCLArray(shape=(), dtype=float64, tags=frozenset(), axes=()) = norm((DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)) - (2 * array([DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)),\n...ggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))],\n dtype=object))))
+ where norm = <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d0c19fcb0>.norm
+ where <arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d0c19fcb0> = PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c14d470>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d0c19fcb0>).linalg
+ where PyOpenCLFakeNumpyNamespace(_array_context=<test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c14d470>, linalg=<arraycontext.impl.pyopencl.fake_numpy._PyOpenCLFakeNumpyLinalgNamespace object at 0x7f3d0c19fcb0>) = <test_arraycontext._PyOpenCLArrayContextForTests object at 0x7f3d0c14d470>.np
+ and DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),)) = MyContainerDOFBcast(name='container', mass=DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), ...enthalpy=DOFArray((TaggableCLArray(shape=(50000,), dtype=float64, tags=frozenset(), axes=(Axis(tags=frozenset()),)),))).mass
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L492
test_dof_array_arithmetic_same_as_numpy[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>1]
assert False
+ where False = <function allclose at 0x7f367ec169b0>(array([4.64946270e-310, 3.85366922e-314, 6.91059664e-310, ...,\n 0.00000000e+000, 0.00000000e+000, 0.00000000e+000], shape=(50000,)), array([1.12497872, 1.17193712, 1.1985914 , ..., 1.07944623, 1.11393278,\n 1.22207167], shape=(50000,)))
+ where <function allclose at 0x7f367ec169b0> = np.allclose
|
|
Pytest Conda Py3 Intel:
test/test/test_arraycontext.py#L492
test_dof_array_arithmetic_same_as_numpy[<_PyOpenCLArrayContextForTests for <pyopencl.Device 'AMD EPYC 9V45 96-Core Processor' on 'Intel(R) OpenCL'>>0]
assert False
+ where False = <function allclose at 0x7f367ec169b0>(array([ 6.91045247e-310, -3.76146289e+112, 0.00000000e+000, ...,\n 0.00000000e+000, 0.00000000e+000, 0.00000000e+000],\n shape=(50000,)), array([1.64666899, 2.13939259, 1.3332359 , ..., 1.77449807, 1.38113737,\n 1.37868363], shape=(50000,)))
+ where <function allclose at 0x7f367ec169b0> = np.allclose
|
|
basedpyright
Process completed with exit code 1.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 Intel:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
basedpyright:
arraycontext/impl/pytato/outline.py#L155
Unnecessary "cast" call; type is already "int | integer[Any] | float | complex | inexact[Any, Any] | builtins.bool | numpy.bool[builtins.bool]" (reportUnnecessaryCast)
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Pytest Conda Py3 POCL:
test/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Tests for downstream project meshmode:
meshmode/test/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project meshmode:
meshmode/test/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project meshmode:
meshmode/test/.conda-root/envs/testing/lib/python3.14/site-packages/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Tests for downstream project meshmode:
meshmode/test/test/test_array.py#L59
'bcast_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.
|
|
Tests for downstream project meshmode:
meshmode/test/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project meshmode:
meshmode/test/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project meshmode:
meshmode/test/.conda-root/envs/testing/lib/python3.14/site-packages/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Tests for downstream project meshmode:
meshmode/test/test/test_array.py#L59
'bcast_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.
|
|
Tests for downstream project meshmode:
meshmode/test/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project meshmode:
meshmode/test/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project grudge:
grudge/test/test/test_reductions.py#L172
Broadcasting array context array types across <class 'test_reductions.MyContainer'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project grudge:
grudge/test/test/test_reductions.py#L172
Broadcasting array context array types across <class 'test_reductions.MyContainer'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/arraycontext/container/dataclass.py#L82
Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
Broadcasting array context array types across <class 'meshmode.dof_array.DOFArray'> has been implicitly enabled. As of 2026, this will no longer work. Use arraycontext.Bcast* object wrappers for roughly equivalent functionality. See the discussion in https://github.com/inducer/arraycontext/pull/190. To opt out now (and avoid this warning), pass _bcast_actx_array_type=False.
|
|
Tests for downstream project grudge:
grudge/test/.conda-root/envs/testing/lib/python3.14/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Documentation
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Pytest Conda Py3 Intel
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
basedpyright
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Pytest Conda Py3 POCL
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Ruff
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Examples Conda Py3
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Typos
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Tests for downstream project meshmode
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Tests for downstream project grudge
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|