Process completed with exit code 1.

test_build_matrix[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-vector-curve_fn0-0] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_build_matrix[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-scalar_mixed-curve_fn1-42] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-7-5-True] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_single_plus_double_with_single_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_off_surface_eval_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_off_surface_eval[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator3-solution3] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator2-solution2] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator1-solution1] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator0-solution0] TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl4-VolumeTaylorMultipoleExpansion-4] loopy.diagnostic.LoopyError: Call to 'e2p' in 'update_result: [iknl]: result_temp[iknl] <- e̲2̲p([iknl]: result_temp[iknl], [icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: tgt[idim], rscale, itgt, ntargets, [i,i_0]: targets[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_coeffs:fetch_center:init_result:fetch_tgt}' expects a 10-th positional argument corresponding to 'hank1_0' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl7-H2DLocalExpansion-H2DMultipoleExpansion-True-True-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_center:fetch_src:init_coeffs:fetch_strength}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl7-H2DLocalExpansion-H2DMultipoleExpansion-True-False-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_center:fetch_src:init_coeffs:fetch_strength}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl6-H2DLocalExpansion-H2DMultipoleExpansion-False-True-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_center:fetch_src:init_coeffs:fetch_strength}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl6-H2DLocalExpansion-H2DMultipoleExpansion-False-False-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_center:fetch_src:init_coeffs:fetch_strength}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-pyvkfft] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-loopy] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-False-None] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-False-False-None] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_line_taylor_coeff_growth TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl4-VolumeTaylorMultipoleExpansion-4] loopy.diagnostic.LoopyError: Call to 'e2p' in 'update_result: [iknl]: result_temp[iknl] <- e̲2̲p([iknl]: result_temp[iknl], [icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: tgt[idim], rscale, itgt, ntargets, [i,i_0]: targets[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_center:fetch_coeffs:init_result:fetch_tgt}' expects a 10-th positional argument corresponding to 'hank1_0' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl7-H2DLocalExpansion-H2DMultipoleExpansion-True-True-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_src:init_coeffs:fetch_strength:fetch_center}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl7-H2DLocalExpansion-H2DMultipoleExpansion-True-False-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_src:init_coeffs:fetch_strength:fetch_center}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl6-H2DLocalExpansion-H2DMultipoleExpansion-False-True-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_src:init_coeffs:fetch_strength:fetch_center}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl6-H2DLocalExpansion-H2DMultipoleExpansion-False-False-False-None] loopy.diagnostic.LoopyError: Call to 'p2e' in 'update_result: [icoeff]: coeffs[icoeff] <- p̲2̲e([icoeff]: coeffs[icoeff], [idim]: center[idim], [idim]: source[idim], [istrength]: strength[istrength], rscale, isrc, nsources, [i,i_0]: sources[0 + 1*i, 0 + 1*i_0], k) {dep=fetch_src:init_coeffs:fetch_strength:fetch_center}' expects a 10-th positional argument corresponding to 'bessel_2' in the callee.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-pyvkfft] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-True-loopy] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-True-False-None] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_sumpy_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-False-False-False-None] loopy.diagnostic.LoopyError: could not determine type of 'hank1_0' of kernel 'p2p'.

test_line_taylor_coeff_growth TypeError: Can't instantiate abstract class LineTaylorLocalExpansion without an implementation for abstract method 'translate_from'

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.

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.

'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.

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().

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().

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().