Process completed with exit code 2.

Argument of type "ndarray[_AnyShape, dtype[Any]]" cannot be assigned to parameter "abscissa" of type "float" in function "add_data_point"   "ndarray[_AnyShape, dtype[Any]]" is not assignable to "float" (reportArgumentType)

Argument of type "int | float" cannot be assigned to parameter "tau" of type "int" in function "__init__"   Type "int | float" is not assignable to type "int"     "float" is not assignable to "int" (reportArgumentType)

Import "pytential.qbx" could not be resolved (reportMissingImports)

Import "pytential" could not be resolved (reportMissingImports)

Import "meshmode.discretization.poly_element" could not be resolved (reportMissingImports)

Import "meshmode.discretization" could not be resolved (reportMissingImports)

Import "meshmode.mesh.generation" could not be resolved (reportMissingImports)

Method "evaluate" overrides class "ExpansionBase" in an incompatible manner   Parameter 2 name mismatch: base parameter is named "kernel", override parameter is named "tgt_kernel"   Return type mismatch: base method returns type "None", override returns type "Expr"     "Expr" is not assignable to "None" (reportIncompatibleMethodOverride)

Method "coefficients_from_source" overrides class "ExpansionBase" in an incompatible manner   Return type mismatch: base method returns type "None", override returns type "list[Unknown]"     "list[Unknown]" is not assignable to "None" (reportIncompatibleMethodOverride)

Method "get_coefficient_identifiers" overrides class "ExpansionBase" in an incompatible manner   Return type mismatch: base method returns type "list[Hashable]", override returns type "list[int]"     "list[int]" is not assignable to "list[Hashable]"       Type parameter "_T@list" is invariant, but "int" is not the same as "Hashable"       Consider switching from "list" to "Sequence" which is covariant (reportIncompatibleMethodOverride)

Process completed with exit code 1.

Process completed with exit code 1.

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

modifying pylint run because we're on Python 3.13

Type of "__init__" is partially unknown   Type of "__init__" is "(kernel: Unknown, order: Unknown, use_rscale: Unknown | None = None, m2l_translation: Unknown | None = None) -> None" (reportUnknownMemberType)

Type annotation is missing for parameter "m2l_translation" (reportMissingParameterType)

Type of parameter "m2l_translation" is partially unknown   Parameter type is "Unknown | None" (reportUnknownParameterType)

Type annotation is missing for parameter "use_rscale" (reportMissingParameterType)

Type of parameter "use_rscale" is partially unknown   Parameter type is "Unknown | None" (reportUnknownParameterType)

Type annotation is missing for parameter "tau" (reportMissingParameterType)

Type annotation is missing for parameter "order" (reportMissingParameterType)

Type of parameter "order" is unknown (reportUnknownParameterType)

Type annotation is missing for parameter "kernel" (reportMissingParameterType)

Type of parameter "kernel" is unknown (reportUnknownParameterType)

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().

'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.

'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.