Process completed with exit code 1.

Process completed with exit code 2.

Process completed with exit code 1.

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'

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'

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'

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'

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'

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'

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'

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'

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'

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'

Canceling since a higher priority waiting request for dataclass-kernel exists

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'

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'

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'

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'

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'

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'

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'

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'

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'

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'

Canceling since a higher priority waiting request for dataclass-kernel exists

Canceling since a higher priority waiting request for dataclass-kernel exists

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'

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'

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'

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'

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'

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'

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'

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'

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'

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'

Canceling since a higher priority waiting request for dataclass-kernel exists

context: https://github.com/pylint-dev/pylint/issues/10112

modifying pylint run because we're on Python 3.13

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "__p0"   Argument type is "TranslationUnit | Unknown" (reportUnknownArgumentType)

Return type, "TranslationUnit | Unknown", is partially unknown (reportUnknownParameterType)

Argument type is unknown   Argument corresponds to parameter "expr" in function "add_to_sac" (reportUnknownArgumentType)

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().

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.::warning file=/home/runner/work/sumpy/sumpy/.conda-root/envs/testing/lib/python3.13/site-packages/loopy/isl_helpers.py,line=198::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().

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().

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().

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.

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().

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().

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.

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().

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().

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().

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.

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().

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().

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.

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().

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().

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.

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().

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().

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.

'bcast_numpy_array=True' is deprecated and will be unsupported from 2025.

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.