Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

Expression of type "None" cannot be assigned to parameter of type "DTypeLike"   Type "None" is not assignable to type "DTypeLike"     "None" is not assignable to "type[Any]"     "None" is not assignable to "dtype[Any]"     "None" is incompatible with protocol "_HasDType[dtype[Any]]"       "dtype" is not present     "None" is incompatible with protocol "_HasNumPyDType[dtype[Any]]"       "__numpy_dtype__" is not present     "None" is not assignable to "tuple[_DTypeLikeNested, _DTypeLikeNested]" ... (reportArgumentType)

No point in testing mirgecom at the moment, see https://github.com/illinois-ceesd/mirgecom/pull/898. Test not performed.

No point in testing mirgecom at the moment, see https://github.com/illinois-ceesd/mirgecom/pull/898. Test not performed.

Condition will always evaluate to True since the types "type[Any] | dtype[Any] | _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" and "None" have no overlap (reportUnnecessaryComparison)

Argument type is Any   Argument corresponds to parameter "step" in function "arange" (reportAny)

Argument type is Any   Argument corresponds to parameter "stop" in function "arange" (reportAny)

Type of "reduce" is partially unknown   Type of "reduce" is "Overload[(array: _Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], /, axis: SupportsIndex | Sequence[SupportsIndex] | None = 0, dtype: type[Any] | dtype[Any] | _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None = None, out: None = None, *, keepdims: Literal[False] = False, **kwargs: Unknown) -> Any, (array: _Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], /, axis: SupportsIndex | Sequence[SupportsIndex] | None = 0, dtype: type[Any] | dtype[Any] | _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None = None, *, out: ndarray[tuple[Any, ...], dtype[Any]] | EllipsisType, keepdims: bool = False, **kwargs: Unknown) -> ndarray[tuple[Any, ...], dtype[Any]], (array: _Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], /, axis: SupportsIndex | Sequence[SupportsIndex] | None = 0, dtype: type[Any] | dtype[Any] | _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None = None, out: ndarray[tuple[Any, ...], dtype[Any]] | EllipsisType | None = None, *, keepdims: Literal[True], **kwargs: Unknown) -> ndarray[tuple[Any, ...], dtype[Any]]]" (reportUnknownMemberType)

Code is unreachable (reportUnreachable)

Condition will always evaluate to False since the types "type[Any] | dtype[Any] | _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" and "None" have no overlap (reportUnnecessaryComparison)

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

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.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

'bcast_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.

'bcast_obj_array' is deprecated and will be unsupported from 2025. Use 'bcasts_across_obj_array', with equivalent meaning.

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.

Broadcasting array context array types across <class 'test_reductions.MyContainer'> 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.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

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 'test_reductions.MyContainer'> 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.

Encountered 'numpy.ndarray' in a dataclass_array_container. This is deprecated and will stop working in 2026. If you meant an object array, use pytools.obj_array.ObjectArray. For other uses, file an issue to discuss.

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.