Direct data infusion of data stored under mdata.

Attributes¶

svars2mdvars: dict

A mapping of state variables to mdata variables.

mdata_vars: list of str

The mdata variables to be used for infusion. By default, all mdata variables are searched.

turbine_coord: str, optional

The mdata coordinate that represents turbine names. By default, the second coordinate is used as a candidate if the mdata variable has three dimensions.

Public members¶

DirectMDataInfusion(svars2mdvars=None, mdata_vars=None, ...)[source]

Constructor.

output_farm_vars(algo)[source]

The variables which are being modified by the model.

calculate(algo, mdata, fdata, rpoints=None, ...)[source]

Calculate ambient rotor effective results.

n_rotor_points()[source]

The number of rotor points

design_points()[source]

The rotor model design points.

rotor_point_weights()[source]

The weights of the rotor points

get_rotor_points(algo, mdata, fdata)[source]

Calculates rotor points from design points.

eval_rpoint_results(algo, mdata, fdata, rpoint_results, ...)[source]

Evaluate rotor point results.

classmethod new(rmodel_type, *args, **kwargs)[source]

Run-time rotor model factory.

output_coords()[source]

Gets the coordinates of all output arrays

ensure_output_vars(algo, fdata)[source]

Ensures that the output variables are present in the farm data.

run_calculation(algo, *data, out_vars, **calc_pars)[source]

Starts the model calculation in parallel, via xarray’s apply_ufunc.

__repr__()[source]

Return repr(self).

property model_id

Unique id based on the model type.

var(v)[source]

Creates a model specific variable name.

unvar(vnm)[source]

Translates model specific variable name to origninal variable name.

property initialized

Initialization flag.

sub_models()[source]

List of all sub-models

load_data(algo, verbosity=0)[source]

Load and/or create all model data that is subject to chunking.

initialize(algo, verbosity=0, force=False)[source]

Initializes the model.

property running

Flag for currently running models

set_running(algo, data_stash, sel=None, isel=None, verbosity=0)[source]

Sets this model status to running, and moves all large data to stash.

unset_running(algo, data_stash, sel=None, isel=None, verbosity=0)[source]

Sets this model status to not running, recovering large data from stash

finalize(algo, verbosity=0)[source]

Finalizes the model.

get_data(variable, target, lookup='smfp', mdata=None, ...)[source]

Getter for a data entry in the model object or provided data sources