v1.5

• Dependencies:
  • Introducing minimal package versions of dependencies to pyproject.toml
• Inputs:
  • New abstract states class DatasetStates, serving as a common base for NetCDF type input data
  • Renamed FieldDataNC as FieldData, now with improved data handling
  • New states class PointCloudData, interpolating data with irregular point cloud support
  • New states class WeibullField, representing Weibull sector data on a regular grid
  • New states class WeibullPointCloud, representing Weibull sector data with irregular point cloud support
  • New farm layout input function add_from_arrays, for directly adding turbines through one dimensional data lists or arrays
  • Advancing windio to version 2.0
• Models:
  • New turbine type CalculatorType, for direct infusion of farm data at a turbine through a user function
  • New rotor model DirectMDataInfusion, piping stored model data directly into turbines
  • Generalizing the Calculator turbine model, now additionally passing algo, mdata, fdata to the user function
• Examples:
  • New example point_cloud, demonstrating the useage of the PointCloud ambient states class
  • New example weibull_grid, demonstrating the useage of the WeibullField ambient states class
  • New example weibull_cloud, demonstrating the useage of the WeibullPointCloud ambient states class
  • New example direct_mdata_infusion, demonstrating how to infuse states data dirctly into rotor data without interpolation
• Bug fixes:
  • Bug fixed with turbine model SetFarmVars that mixed up the turbine ordering
  • Bug fixed with turbine models that are marked as pre_rotor that mixed up the turbine ordering

Full Changelog: https://github.com/FraunhoferIWES/foxes/commits/v1.5