Process completed with exit code 1.

Process completed with exit code 2.

Process completed with exit code 1.

7 errors

Argument missing for parameter "max_mi" (reportCallIssue)

Argument missing for parameter "max_mi" (reportCallIssue)

Argument of type "floating[Any]" cannot be assigned to parameter "error" of type "float" in function "add_data_point"   "floating[Any]" is not assignable to "float" (reportArgumentType)

Type "SympyLikeExpression" is not assignable to return type "Expr"   "Basic" is not assignable to "Expr" (reportReturnType)

Type "SympyLikeExpression" is not assignable to return type "Expr"   "Basic" is not assignable to "Expr" (reportReturnType)

Type "SympyLikeExpression" is not assignable to return type "Expr"   "Basic" is not assignable to "Expr" (reportReturnType)

Type "Unknown | SympyLikeExpression" is not assignable to return type "Expr"   Type "Unknown | SympyLikeExpression" is not assignable to type "Expr"     "Basic" is not assignable to "Expr" (reportReturnType)

test_get_storage_index[True-knl3-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_get_storage_index[True-knl2-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_get_storage_index[True-knl1-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_get_storage_index[True-knl0-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_cse_matvec TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

test_translations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl2-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-True] AssertionError

test_sumpy_axis_source_derivative[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] assert np.False_ + where np.False_ = <function isclose at 0x7f68fb66ef70>(np.float64(1.421555489213207), 0, atol=1e-05) + where <function isclose at 0x7f68fb66ef70> = np.isclose

test_sumpy_fmm_exclude_self[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] assert np.False_ + where np.False_ = <function isclose at 0x7f68fb66ef70>(np.float64(11.588017914042016), 0, atol=1e-07) + where <function isclose at 0x7f68fb66ef70> = np.isclose

test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1] AssertionError: np.float64(55851775.859486066) assert np.float64(55851775.859486066) < (10 ** 6)

test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl0] AssertionError: np.float64(631085140.223572) assert np.float64(631085140.223572) < (10 ** 6)

test_get_storage_index[True-knl2-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_get_storage_index[True-knl1-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_get_storage_index[True-knl0-6] TypeError: LinearPDEBasedExpansionTermsWrangler.__init__() missing 1 required positional argument: 'max_mi'

test_cse_matvec TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

test_translations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl5-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-True] AssertionError

test_translations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl2-LinearPDEConformingVolumeTaylorLocalExpansion-LinearPDEConformingVolumeTaylorMultipoleExpansion-True] AssertionError

test_sumpy_axis_source_derivative[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] assert np.False_ + where np.False_ = <function isclose at 0x7f0e6b90dfb0>(np.float64(2.049192883416945), 0, atol=1e-05) + where <function isclose at 0x7f0e6b90dfb0> = np.isclose

test_sumpy_fmm_exclude_self[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] assert np.False_ + where np.False_ = <function isclose at 0x7f0e6b90dfb0>(np.float64(12.283113388729447), 0, atol=1e-07) + where <function isclose at 0x7f0e6b90dfb0> = np.isclose

test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl1] AssertionError: np.float64(55851775.859486066) assert np.float64(55851775.859486066) < (10 ** 6)

test_coeff_magnitude_rscale[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-knl0] AssertionError: np.float64(631085140.2235717) assert np.float64(631085140.2235717) < (10 ** 6)

test_identity_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-case1] assert np.float64(-28.337256198336178) > (5 - 1.6) + where np.float64(-28.337256198336178) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7f7b65d45700>.order_estimate

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-5-4-False] assert np.float64(-35.038333297237195) > (5 - 1.5) + where np.float64(-35.038333297237195) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7efdcf0aacf0>.order_estimate

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-5-3-False] assert np.float64(-24.316906292747763) > (4 - 1.5) + where np.float64(-24.316906292747763) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7efdeb8d5a50>.order_estimate

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-6-3-False] assert np.float64(-33.22591376368426) > (4 - 1.5) + where np.float64(-33.22591376368426) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7efdced348d0>.order_estimate

test_identity_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-case0] assert np.float64(-28.242648202319536) > (5 - 1.6) + where np.float64(-28.242648202319536) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7f7b70363490>.order_estimate

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-5-3-False] assert np.float64(-35.038329009341865) > (4 - 1.5) + where np.float64(-35.038329009341865) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7efdcfbc9f30>.order_estimate

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-2-7-5-False] assert np.float64(-24.110394265800252) > (6 - 1.5) + where np.float64(-24.110394265800252) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7f7b7086b820>.order_estimate

test_single_plus_double_with_single_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] assert np.float64(270571343001.42343) < 0.001

test_off_surface_eval_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] assert np.float64(10653723220.200274) < 0.001

test_ellipse_eigenvalues[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-1-7-5-False] assert np.float64(-32.44907265335494) > (6 - 1.5) + where np.float64(-32.44907265335494) = order_estimate() + where order_estimate = <pytools.convergence.EOCRecorder object at 0x7f7b9a2ba900>.order_estimate

Import "field" is not accessed (reportUnusedImport)

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().

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.::warning file=/home/runner/work/sumpy/sumpy/pytential/.conda-root/envs/testing/lib/python3.13/site-packages/meshmode/dof_array.py,line=79::'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.

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.