Process completed with exit code 1.

"__getitem__" method not defined on type "Basic" (reportIndexIssue)

"__getitem__" method not defined on type "Basic" (reportIndexIssue)

"__getitem__" method not defined on type "Basic" (reportIndexIssue)

Argument of type "dict[tuple[int, ...], Expr]" cannot be assigned to parameter "derivative_coeff_dict" of type "DerivativeCoeffDict" in function "__init__"   "dict[tuple[int, ...], Expr]" is not assignable to "dict[tuple[int, ...], int | float | complex | Expr]"     Type parameter "_VT@dict" is invariant, but "Expr" is not the same as "int | float | complex | Expr"     Consider switching from "dict" to "Mapping" which is covariant in the value type (reportArgumentType)

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

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

"l3dterms" is unknown import symbol (reportAttributeAccessIssue)

"l2dterms" is unknown import symbol (reportAttributeAccessIssue)

"h3dterms" is unknown import symbol (reportAttributeAccessIssue)

"h2dterms" is unknown import symbol (reportAttributeAccessIssue)

test_3d_jump_relations[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-sp] NotImplementedError: 'replace_base_kernel' is not implemented for 'AxisTargetDerivative'

test_unregularized_off_surface_fmm_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_single_plus_double_with_single_fmm[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator3-solution3] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_off_surface_eval_vs_direct[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator2-solution2] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator1-solution1] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_off_surface_eval[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_beltrami_convergence[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-operator0-solution0] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_off_surface_eval[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl0-VolumeTaylorLocalExpansion-4] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2e_multiple[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-base_knl1-LinearPDEConformingVolumeTaylorMultipoleExpansion] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2e_multiple[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-base_knl0-LinearPDEConformingVolumeTaylorLocalExpansion] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes2] TypeError: TargetPointMultiplier.__init__() got an unexpected keyword argument 'dim'

test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes1] TypeError: TargetPointMultiplier.__init__() got an unexpected keyword argument 'dim'

test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes0] TypeError: TargetPointMultiplier.__init__() got an unexpected keyword argument 'dim'

test_sumpy_axis_source_derivative[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_unified_single_and_double[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

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

test_p2e2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False-base_knl0-VolumeTaylorLocalExpansion-4] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2e_multiple[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-base_knl1-LinearPDEConformingVolumeTaylorMultipoleExpansion] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2e_multiple[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-base_knl0-LinearPDEConformingVolumeTaylorLocalExpansion] TypeError: DirectionalDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-False] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_p2p[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-True] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes2] TypeError: TargetPointMultiplier.__init__() got an unexpected keyword argument 'dim'

test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes1] TypeError: TargetPointMultiplier.__init__() got an unexpected keyword argument 'dim'

test_sumpy_target_point_multiplier[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>-deriv_axes0] TypeError: TargetPointMultiplier.__init__() got an unexpected keyword argument 'dim'

test_sumpy_axis_source_derivative[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

test_unified_single_and_double[<PyOpenCLArrayContext for <pyopencl.Device 'cpu-haswell-AMD EPYC 7763 64-Core Processor' on 'Portable Computing Language'>>] TypeError: AxisTargetDerivative.__init__() got an unexpected keyword argument 'dim'

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

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

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

modifying pylint run because we're on Python 3.13

Argument type is unknown   Argument corresponds to parameter "gens" in function "submodule" (reportUnknownArgumentType)

Type of "submodule" is partially unknown   Type of "submodule" is "(...) -> SubModulePolyRing" (reportUnknownMemberType)

Type of "free_module" is partially unknown   Type of "free_module" is "((rank: Unknown) -> FreeModulePolyRing)" (reportUnknownMemberType)

Argument type is Any   Argument corresponds to parameter "symbols" in function "old_poly_ring" (reportAny)

Type of "old_poly_ring" is partially unknown   Type of "old_poly_ring" is "(...) -> (GlobalPolynomialRing | GeneralizedPolynomialRing)" (reportUnknownMemberType)

Type of "as_expr" is partially unknown   Type of "as_expr" is "(*gens: Unknown) -> Expr" (reportUnknownMemberType)

Argument type is unknown   Argument corresponds to parameter "symbols" in function "diff" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "args" in function "__new__" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "domains" in function "make_function"   Argument type is "list[Unknown]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "iterable" in function "sum"   Argument type is "Generator[Unknown | Expr, None, None]" (reportUnknownArgumentType)

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.

'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.

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.

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().