Argument of type "Optional[None]" cannot be assigned to parameter "temp_var_type" of type "type[_not_provided] | Optional[LoopyType] | LoopyType | None" in function "__init__"   Type "Optional[None]" is not assignable to type "type[_not_provided] | Optional[LoopyType] | LoopyType | None"     Type "Optional[None]" is not assignable to type "type[_not_provided]"     "Optional[None]" is not assignable to "Optional[LoopyType]"       Type parameter "V@Optional" is invariant, but "None" is not the same as "LoopyType"     "Optional[None]" is not assignable to "LoopyType"     "Optional[None]" is not assignable to "None" (reportArgumentType)

Argument of type "Optional[None]" cannot be assigned to parameter "temp_var_type" of type "type[_not_provided] | Optional[LoopyType] | LoopyType | None" in function "__init__"   Type "Optional[None]" is not assignable to type "type[_not_provided] | Optional[LoopyType] | LoopyType | None"     Type "Optional[None]" is not assignable to type "type[_not_provided]"     "Optional[None]" is not assignable to "Optional[LoopyType]"       Type parameter "V@Optional" is invariant, but "None" is not the same as "LoopyType"     "Optional[None]" is not assignable to "LoopyType"     "Optional[None]" is not assignable to "None" (reportArgumentType)

Argument of type "Optional[None]" cannot be assigned to parameter "temp_var_type" of type "type[_not_provided] | Optional[LoopyType] | LoopyType | None" in function "__init__"   Type "Optional[None]" is not assignable to type "type[_not_provided] | Optional[LoopyType] | LoopyType | None"     Type "Optional[None]" is not assignable to type "type[_not_provided]"     "Optional[None]" is not assignable to "Optional[LoopyType]"       Type parameter "V@Optional" is invariant, but "None" is not the same as "LoopyType"     "Optional[None]" is not assignable to "LoopyType"     "Optional[None]" is not assignable to "None" (reportArgumentType)

Argument of type "Optional[None]" cannot be assigned to parameter "temp_var_type" of type "type[_not_provided] | Optional[LoopyType] | LoopyType | None" in function "__init__"   Type "Optional[None]" is not assignable to type "type[_not_provided] | Optional[LoopyType] | LoopyType | None"     Type "Optional[None]" is not assignable to type "type[_not_provided]"     "Optional[None]" is not assignable to "Optional[LoopyType]"       Type parameter "V@Optional" is invariant, but "None" is not the same as "LoopyType"     "Optional[None]" is not assignable to "LoopyType"     "Optional[None]" is not assignable to "None" (reportArgumentType)

"l3dterms" is unknown import symbol (reportAttributeAccessIssue)

"l2dterms" is unknown import symbol (reportAttributeAccessIssue)

"h3dterms" is unknown import symbol (reportAttributeAccessIssue)

"h2dterms" is unknown import symbol (reportAttributeAccessIssue)

Argument of type "Optional[None]" cannot be assigned to parameter "temp_var_type" of type "type[_not_provided] | Optional[LoopyType] | LoopyType | None" in function "__init__"   Type "Optional[None]" is not assignable to type "type[_not_provided] | Optional[LoopyType] | LoopyType | None"     Type "Optional[None]" is not assignable to type "type[_not_provided]"     "Optional[None]" is not assignable to "Optional[LoopyType]"       Type parameter "V@Optional" is invariant, but "None" is not the same as "LoopyType"     "Optional[None]" is not assignable to "LoopyType"     "Optional[None]" is not assignable to "None" (reportArgumentType)

Argument of type "Optional[None]" cannot be assigned to parameter "temp_var_type" of type "type[_not_provided] | Optional[LoopyType] | LoopyType | None" in function "__init__"   Type "Optional[None]" is not assignable to type "type[_not_provided] | Optional[LoopyType] | LoopyType | None"     Type "Optional[None]" is not assignable to type "type[_not_provided]"     "Optional[None]" is not assignable to "Optional[LoopyType]"       Type parameter "V@Optional" is invariant, but "None" is not the same as "LoopyType"     "Optional[None]" is not assignable to "LoopyType"     "Optional[None]" is not assignable to "None" (reportArgumentType)

Type of "set_aspect" is unknown (reportUnknownMemberType)

Type of "gca" is unknown (reportUnknownMemberType)

Return type, "Unknown | Literal[1]", is partially unknown (reportUnknownParameterType)

Return type, "list[partial[Unknown | int]]", is partially unknown (reportUnknownParameterType)

Argument type is partially unknown   Argument corresponds to parameter "ary_names"   Argument type is "str | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "ary_names"   Argument type is "str | Unknown" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "dtype" in function "zeros"   Argument type is "Unknown | type[complexfloating[_32Bit, _32Bit]] | type[complex128]" (reportUnknownArgumentType)

Argument type is partially unknown   Argument corresponds to parameter "dtype" in function "zeros"   Argument type is "Unknown | type[complexfloating[_32Bit, _32Bit]] | type[complex128]" (reportUnknownArgumentType)

Stub file not found for "pyfmmlib" (reportMissingTypeStubs)

Argument type is partially unknown   Argument corresponds to parameter "ary" in function "to_device"   Argument type is "Any | Unknown" (reportUnknownArgumentType)

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

modifying pylint run because we're on Python 3.13

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.

'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.