from __future__ import annotations
import numpy as np
import xarray as xr
from glotaran.model import DatasetModel
from glotaran.model import Megacomplex
from glotaran.model import megacomplex
[docs]@megacomplex(exclusive=True, register_as="clp-guide", properties={"target": str})
class ClpGuideMegacomplex(Megacomplex):
[docs] def calculate_matrix(
self,
dataset_model: DatasetModel,
indices: dict[str, int],
**kwargs,
):
clp_label = [self.target]
matrix = np.ones((1, 1), dtype=np.float64)
return clp_label, matrix
[docs] def index_dependent(self, dataset_model: DatasetModel) -> bool:
return False
[docs] def finalize_data(
self,
dataset_model: DatasetModel,
dataset: xr.Dataset,
is_full_model: bool = False,
as_global: bool = False,
):
pass