Source code for foxes.models.point_models.wake_deltas

from foxes.core import PointDataModel
import foxes.variables as FV


[docs] class WakeDeltas(PointDataModel): """ This point model simply subtracts ambient results from waked results. Attributes ---------- vars: list of str The variables normalize: bool Divide resulting deltas by ambient values :group: models.point_models """
[docs] def __init__(self, vars, normalize=False): """ Constructor. Parameters ---------- vars: list of str The variables normalize: bool Divide resulting deltas by ambient values """ super().__init__() self.vars = vars self.normalize = normalize
[docs] def output_point_vars(self, algo): """ The variables which are being modified by the model. Parameters ---------- algo: foxes.core.Algorithm The calculation algorithm Returns ------- output_vars: list of str The output variable names """ return [f"DELTA_{v}" for v in self.vars]
[docs] def calculate(self, algo, mdata, fdata, pdata): """ " The main model calculation. This function is executed on a single chunk of data, all computations should be based on numpy arrays. Parameters ---------- algo: foxes.core.Algorithm The calculation algorithm mdata: foxes.core.MData The model data fdata: foxes.core.FData The farm data tdata: foxes.core.TData The target point data Returns ------- results: dict The resulting data, keys: output variable str. Values: numpy.ndarray with shape (n_states, n_points) """ out = {f"DELTA_{v}": pdata[v] - pdata[FV.var2amb[v]] for v in self.vars} if self.normalize: for v in self.vars: out[v] /= pdata[FV.var2amb[v]] return out