Dataclass kernel #1725
Triggered via pull request
September 3, 2025 20:04
inducer
Status
Failure
Total duration
36m 51s
Artifacts
–
ci.yml
on: pull_request
Ruff
7s
Typos
7s
basedpyright
2m 44s
Pylint
2m 33s
Documentation
2m 3s
Conda Pytest
36m 30s
Conda Pytest Symengine
35m 50s
Conda Examples
2m 22s
Matrix: downstream_tests
Annotations
30 errors and 32 warnings
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_eigenvalues.py#L222
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-6-3-False]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_eigenvalues.py#L222
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-5-3-False]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L544
test_3d_jump_relations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-div_s]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L510
test_3d_jump_relations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-nxcurls]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot.py#L534
test_3d_jump_relations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-sp]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_layer_pot_eigenvalues.py#L222
test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-7-5-False]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_beltrami.py#L237
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator3-solution3]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_beltrami.py#L237
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator2-solution2]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_beltrami.py#L237
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator1-solution1]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Tests for downstream project pytential:
pytential/test/test/test_beltrami.py#L237
test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator0-solution0]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl3-LinearPDEConformingVolumeTaylorMultipoleExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl2-LinearPDEConformingVolumeTaylorLocalExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl1-VolumeTaylorMultipoleExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl0-VolumeTaylorLocalExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_kernels.py#L85
test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_kernels.py#L85
test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_fmm.py#L682
test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes2]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_fmm.py#L682
test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes1]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_fmm.py#L614
test_sumpy_axis_source_derivative[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest Symengine:
test/test/test_fmm.py#L402
test_unified_single_and_double[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl3-LinearPDEConformingVolumeTaylorMultipoleExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl2-LinearPDEConformingVolumeTaylorLocalExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl1-VolumeTaylorMultipoleExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_kernels.py#L300
test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl0-VolumeTaylorLocalExpansion-4]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_kernels.py#L85
test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_kernels.py#L85
test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_fmm.py#L682
test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes2]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_fmm.py#L682
test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes1]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_fmm.py#L614
test_sumpy_axis_source_derivative[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Conda Pytest:
test/test/test_fmm.py#L402
test_unified_single_and_double[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>]
dataclasses.FrozenInstanceError: cannot assign to field 'inner_kernel'
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Pylint
modifying pylint run because we're on Python 3.13
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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.
|
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Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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 pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
|
|
Tests for downstream project pytential:
pytential/.conda-root/envs/testing/lib/python3.13/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 pytential:
pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py#L79
'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
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Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
|
|
Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
|
|
Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest Symengine:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/boxtree/array_context.py#L57
Using the base PyOpenCLArrayContext.transform_loopy_program to transform a translation unit. This is largely a no-op and unlikely to result in fast generated code.Instead, subclass PyOpenCLArrayContext and implement the specific transform logic required to transform the program for your package or application. Check higher-level packages (e.g. meshmode), which may already have subclasses you may want to build on.
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|
|
Conda Pytest:
.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py#L198
Aff.is_equal with implicit conversion of self to PwAff is deprecated and will stop working in 2026. Explicitly convert to PwAff, using .to_pw_aff().
|