Foxes

- Dependencies:
- The `windio` package is now an optional dependency, to be installed by hand if needed. This is due to windio being not available at conda-forge
- Notebooks:
- New notebook: `sequential.ipynb`, creating an animation showing state-by-state wake propagation

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.5.1](https://github.com/FraunhoferIWES/foxes/commits/v0.5.1)

- Dependencies:
- Dropping support for Python 3.7, due to `netcdf4` dependency
- Core:
- Simplified model initialization/finalization. Removing the `keep_models` idea, instead all models are now kept in the algorithm's idata memory until finalization. Adding a new model now mostly requires that the `sub_models` and the `load_data` functions are overloaded, if applicable. The `initialize` and `finalize` only need to be addressed explicitly in non-standard cases.
- Algorithms:
- New algorithm: `Sequential`, step wise evaluation of states for simulation environments that do not support chunking
- Improved: `Iterative` now supports under-relaxation of parameters
- Output:
- New sub package: `output.flow_plots_2d` is now a package instead of a module
- Models:
- This version introduces induction models for modelling blockage effects.
- New induction model: `RHB`, the classic Rankine-half-body model.
- Examples:
- New example: `sequential`, demonstrating the usage of the sequential algorithm
- New example: `induction_RHB`, showing the Rankine-half-body model for blockage
- Notebooks:
- New notebook: `blockage.ipynb`, demonstrating how to apply the RHB induction model to a wind farm

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.5](https://github.com/FraunhoferIWES/foxes/commits/v0.5)

- Models:
- New rotor model: `LevelRotor`, calculates the REWS from different height levels
- New turbine type: `WsTI2PCtFromTwo`, reads turbulence-dependent ct- and power curves

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.4.5](https://github.com/FraunhoferIWES/foxes/commits/v0.4.5)

- Testing automated publishing to PyPi via workflow

- Output:
- Improved: `RosePlotOutput` and `StatesRosePlotOutput` now optionally return the binned data
- Models:
- New vertical profile: `DataProfile`, data based profile from file or pandas DataFrame
- Improved ti superposition: Now supporting n-th power superposition
- Improved wake model `TurbOParkIX`: New option for consideration of all wakes in ti integral
- Bug fixes:
- Fixed bug with `windio` input that resulted in wrong wind rose weights
- Fixed bug with `FlowPlots2D` with value bounds in contour plots

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.4.3](https://github.com/FraunhoferIWES/foxes/commits/v0.4.3)

- Bug fixes:
- Fix of bug that slowed down `TurbOParkIX` by considering all TI wakes instead of only source turbine wake during integration
- Fix of bug that prevented plotly wind roses to be shown in the documentation
- Fix in docu that excluded the algorithm models from the API
- Output:
- New: `Animator`, creates animations based on generators that yield lists of artists
- Examples:
- Improved: `timelines` now includes turbine REWS signal in animations
- Notebooks:
- Improved: `timelines.ipynb` now includes turbine REWS signal in animations

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.4.2](https://github.com/FraunhoferIWES/foxes/commits/v0.4.2)