Process completed with exit code 1.

4 errors

Argument of type "list[tuple[Unknown, object | ObjectArray[Unknown, object]] | tuple[str, object | ObjectArray[Unknown, object]]]" cannot be assigned to parameter "point_data" of type "List[Tuple[str, ndarray[Any, Any]]] | None" in function "write_structured_grid"   Type "list[tuple[Unknown, object | ObjectArray[Unknown, object]] | tuple[str, object | ObjectArray[Unknown, object]]]" is not assignable to type "List[Tuple[str, ndarray[Any, Any]]] | None"     "list[tuple[Unknown, object | ObjectArray[Unknown, object]] | tuple[str, object | ObjectArray[Unknown, object]]]" is not assignable to "List[Tuple[str, ndarray[Any, Any]]]"       Type parameter "_T@list" is invariant, but "tuple[Unknown, object | ObjectArray[Unknown, object]] | tuple[str, object | ObjectArray[Unknown, object]]" is not the same as "Tuple[str, ndarray[Any, Any]]"       Consider switching from "list" to "Sequence" which is covariant     "list[tuple[Unknown, object | ObjectArray[Unknown, object]] | tuple[str, object | ObjectArray[Unknown, object]]]" is not assignable to "None" (reportArgumentType)

Operator "+" not supported for types "Variable | Subscript" and "Expression"   Operator "+" not supported for types "Variable" and "bool_" when expected type is "Expression | str"   Operator "+" not supported for types "Variable" and "tuple[Expression, ...]" when expected type is "Expression | str"   Operator "+" not supported for types "Subscript" and "bool_" when expected type is "Expression | str"   Operator "+" not supported for types "Subscript" and "tuple[Expression, ...]" when expected type is "Expression | str" (reportOperatorIssue)

Operator "+" not supported for types "Variable | Subscript" and "Expression"   Operator "+" not supported for types "Variable" and "bool_" when expected type is "Expression | str"   Operator "+" not supported for types "Variable" and "tuple[Expression, ...]" when expected type is "Expression | str"   Operator "+" not supported for types "Subscript" and "bool_" when expected type is "Expression | str"   Operator "+" not supported for types "Subscript" and "tuple[Expression, ...]" when expected type is "Expression | str" (reportOperatorIssue)

Method "gather_potential_results" overrides class "DistributedExpansionWrangler" in an incompatible manner   Return type mismatch: base method returns type "_Array1D[float64] | None", override returns type "ObjectArray1D[Array] | None"     Type "ObjectArray1D[Array] | None" is not assignable to type "_Array1D[float64] | None"       Type "ObjectArray1D[Array]" is not assignable to type "_Array1D[float64] | None"         "ObjectArray[tuple[int], Array]" is not assignable to "ndarray[tuple[int], dtype[float64]]"         "ObjectArray[tuple[int], Array]" is not assignable to "None" (reportIncompatibleMethodOverride)

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 "end" in function "__init__"   Argument type is "int | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "f" in function "obj_array_vectorize"   Argument type is "(ary: Unknown) -> (number[Unknown, complex] | Number | Unknown)" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "f" in function "obj_array_vectorize"   Argument type is "(ary: Unknown) -> Array" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "evt" in function "add_event" (reportUnknownArgumentType)

Argument type is unknown   Argument corresponds to parameter "evt" in function "add_event" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "f" in function "obj_array_vectorize"   Argument type is "(x: Unknown) -> Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "expression" in function "__init__"   Argument type is "Sum | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "expression" in function "__init__"   Argument type is "Sum | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "f" in function "obj_array_vectorize"   Argument type is "(x: Unknown) -> Unknown" (reportUnknownArgumentType)

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().

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.

'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.

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.