Foxes

- Updated requirements.txt

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.8.1](https://github.com/FraunhoferIWES/foxes/commits/v0.8.1)

Starting with this version, the previous `foxes.opt` sub-package is is now its own package at github, pypi and conda-forge: [foxes-opt](https://github.com/FraunhoferIWES/foxes-opt), with its own [documentation](https://fraunhoferiwes.github.io/foxes-opt/index.html).

If you are planning to run wind farm optimizations, install it via

console
pip install foxes[opt]


or

console
pip install foxes-opt


or

console
conda install foxes-opt -c conda-forge


Compared to older versions, replace `foxes.opt` by `foxes_opt` in all your scripts - then everything should just run as before.

If you are not running any optimizations, just don't do any of the above and enjoy the lighter version with less dependencies.

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.8](https://github.com/FraunhoferIWES/foxes/commits/v0.8)

- Input:
- Adding output options to `windio`
- Output:
- New output `StateTurbineTable`, exporting state-turbine data to NetCDF

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.7.4](https://github.com/FraunhoferIWES/foxes/commits/v0.7.4)

- Dependencies:
- Restriction to `numpy<2` due to an incompatibility of dependecy `autograd`
- Core:
- New model type `GroundModel`, which manages the call of the partial wakes models in case of farm calculations and wake models in case of point calculations
- Inputs:
- New height dependent states: `MultiHeightNCStates` and `MultiHeightNCTimeseries`, same as `MultiHeightStates` and `MultiHeightTimeseries`, but starting from a netCDF file or `xarray.Dataset` input
- Models:
- New wake model helper class `WakeK`, handling the `k`, `ka`, `kb` choices for all wake models
- New ground model `NoGround`, plain call of the partial wakes and wakes models
- New ground models `WakeMirror` and `GroundMirror`, replacing the equivalent former wake models. Realizing wake reflection at horizontal planes.
- New induction model `VortexSheet`, which is a radial implementation of the centreline deficit model in Medici 2012 https://doi.org/10.1002/we.451
- Utils:
- New utility `WakeKFactory` class, enabling the choice of either `k` or `ka, kb` directly from the wake model names in the model book.
- Inputs:
- Work on `windio`, but unfinished on their side when it comes to analysis requests
- Examples:
- Example `multi_height`: Now based on `MultiHeightNCTimeseries`
- Bug fixes:
- Fox for bug with wake mirrors and partial wakes


**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.7.3](https://github.com/FraunhoferIWES/foxes/commits/v0.7.3)

- Bug fixes:
- Fix for bug with `Factory` that confused templates `A_B<..>` type with `B<..>` type templates

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.7.2](https://github.com/FraunhoferIWES/foxes/commits/v0.7.2)

- Models:
- Improved `ModelBook`, adding some smartness thanks to model factories. Parameters are parsed from model name strings that follow given patterns. E.g., `Jensen_<superposition>_k<k>` represents all `JensenWake` models with any superposition model choice and and choice of k, and `Jensen_linear_k0075` would be an accepted name choice by the user.
- New wind speed superpositions `WSLinearLocal`, `WSQuadraticLocal`, `WSPowLocal`, `WSMaxLocal`: Adding dimensionless wind deficits, and then evaluating the overall effect for the ambient results at evaluation points (no scaling with rotor effective data)
- Utils:
- New utility `Factory`, creating class instances from selections of allowed parameter choises
- New utility `FDict`, a dictionary that supports factories
- Bug fixes:
- Bug fixed with `TurbOParkIX`, that prevented it from running

**Full Changelog**: [https://github.com/FraunhoferIWES/foxes/commits/v0.7.1](https://github.com/FraunhoferIWES/foxes/commits/v0.7.1)