Custom

Custom element (custom transformation wrapper)

class model.library.custom.Custom(name: str, step: Mapping, keys: list[str], length: float = 0.0, angle: float = 0.0, dp: float = 0.0, *, alignment: bool = True, dx: float = 0.0, dy: float = 0.0, dz: float = 0.0, wx: float = 0.0, wy: float = 0.0, wz: float = 0.0)[source]

Custom element

Note, input parameters are used only with alignment errors Custom element is not serializable and not invertible Slicing is not supported

rtype:: Custom

property angle: torch.Tensor

Get angle

Parameters:: None
Return type:: Tensor

data(*, name: bool = False, alignment: bool = True) → dict[str, dict[str, torch.Tensor]] | dict[str, torch.Tensor][source]

Generate default deviation data

Parameters:: None
Return type:: dict[str, dict[str,Tensor]] | dict[str,Tensor]

make_matrix()[source]

Generate transformation matrices (error element)

Parameters:: None
Return type:: tuple[Tensor, Tensor]

make_step()[source]

Generate integration step

Parameters:: None
Return type:: Mapping

property serialize: dict[str, str | int | float | bool]

Serialize element

Parameters:: None
Return type:: dict[str, str|int|float|bool]