Nrel-sup3r

What's Changed
* Use `rex Regridder` port by ppinchuk in https://github.com/NREL/sup3r/pull/228
* Gb/presrat updates 2 by grantbuster in https://github.com/NREL/sup3r/pull/230
* Bnb/compute on none chunks by bnb32 in https://github.com/NREL/sup3r/pull/233
* Gb/bc debug by grantbuster in https://github.com/NREL/sup3r/pull/232
* fixed double bias correction of features in bc qdm utility by grantbuster in https://github.com/NREL/sup3r/pull/234
* Fix: Typos on optional dependencies related to doc by castelao in https://github.com/NREL/sup3r/pull/236
* Updated Sup3rX access patterns - keys can be either features or numpy style indexing but not both by bnb32 in https://github.com/NREL/sup3r/pull/235
* if n_writes request is too big, set to n_chunks instead of raising error by grantbuster in https://github.com/NREL/sup3r/pull/237
* added simple test on cc batching for daily boundaries by grantbuster in https://github.com/NREL/sup3r/pull/238
* Bnb/caching fixes by bnb32 in https://github.com/NREL/sup3r/pull/239
* Gb/bc kwargs by grantbuster in https://github.com/NREL/sup3r/pull/240
* Bnb/dh refactor by bnb32 in https://github.com/NREL/sup3r/pull/220


**Full Changelog**: https://github.com/NREL/sup3r/compare/v0.1.4...v0.2.0

What’s Changed

* Exclude test data in release tar

Prerelease for v0.2.0 refactor

What’s Changed

* PresRat correction (215) castelao
* Time dependent QDM (226) castelao
* Explicit keyword argument (225) castelao
* save default device to model parameters so model weights can be loade… (221) grantbuster
* fixed bias calc class import path (222) grantbuster
* Improving ruff setup (224) castelao
* Allow some tolerance in test comparison (219) castelao
* fix performance issue with slow listcomp on regrid indexing (217) grantbuster
* Reorganizing QDM related methods (216) castelao
* Pipeline requires explicit arguments for QuantileDeltaMappingCorrection (211) castelao
* Basic setup for using pixi (212) castelao
* Applying fill_and_smooth on QDM (214) castelao
* Bnb/nc4 dep removal (210) bnb32
* tensorboard logging (208) bnb32
* Fixing minor issues left from PR 200 (209) castelao
* Quantile Delta Mapping (200) castelao
* combined conditional moments and wind conditional moments. (207) bnb32
* Gb/no regrid (206) grantbuster
* allow surface spatial met model to interpolate non temp/pres/rh features (204) grantbuster
* Gb/precip skill (195) grantbuster
* prettifying how examples show up in docs page (203) bnb32
* Fix documentation, requires tags to figure out version (202) castelao
* Sup3rWind examples (199) bnb32
* Fix wrong path to version in documentation setup (201) castelao
* Migrating to pyproject.toml (194) castelao
* Instructions to use GPU on OSX (197) castelao
* Updating pylint setup for pre-commit (198) castelao
* Syntax update using numpy and scipy (196) castelao
* Bnb/dev (193) bnb32
* Defining some minimum versions (190) castelao
* Adding missing people (192) castelao
* Caching PIP (191) castelao
* Adding CITATION.cff (188) castelao
* Updating classifiers (metadata) (189) castelao
* cs ghi bug fix (187) grantbuster
* Bnb/dev (186) bnb32
* Gb/lr loss (185) grantbuster
* added kwarg to fwp to allow for constant tensor output e.g., in the c… (184) grantbuster
* Gb/bug (182) grantbuster

Updates

* Fix badges on main README (213) ppinchuk

What’s Changed

* Gb/bias nc (181) grantbuster
* bug fix with negative test for dual DH operating on data handlers tha… (179) grantbuster
* Bnb/ddh norm (180) bnb32
* Significant refactor on handling of feature names in DataHandler and model (178) grantbuster
* stdev and mean hot fix (177) bnb32
* fix get_clearsky_ghi function to use correct time slice (176) spodgorny9
* Bnb/dev (173) bnb32
* Bnb/nc collector (175) bnb32
* Add ability to specify duplicate command names in Pipeline (174) ppinchuk
* Bnb/train only features hot fix (171) bnb32

Refactored exogenous data handling in the forward pass and training. This enabled deletion of some specialized models, which creates breaking changes.

Dual data handler added for using different datasets for low res and high res data for training. For example, low_res = ERA5 data and high_res = WTK.

GAPS integration for command line interface and job handling. Allowed removal of reV dependency.

What's Changed
* Bnb/dev by bnb32 in https://github.com/NREL/sup3r/pull/148
* WindGanDC model by bnb32 in https://github.com/NREL/sup3r/pull/150
* Bnb/bc smoothing by bnb32 in https://github.com/NREL/sup3r/pull/151
* Bnb/dev by bnb32 in https://github.com/NREL/sup3r/pull/152
* Bug fix for conditional moment with topography by malihass in https://github.com/NREL/sup3r/pull/149
* Use multi gpu for conditional moment estimation by malihass in https://github.com/NREL/sup3r/pull/157
* Bnb/log interp by bnb32 in https://github.com/NREL/sup3r/pull/155
* Gb/skill by grantbuster in https://github.com/NREL/sup3r/pull/163
* Bnb/h5 with era training by bnb32 in https://github.com/NREL/sup3r/pull/162
* Bnb/dual dh patch by bnb32 in https://github.com/NREL/sup3r/pull/164
* Bnb/ws power law by bnb32 in https://github.com/NREL/sup3r/pull/165
* bug fix on bias calc object initialization named args and cli parsing by grantbuster in https://github.com/NREL/sup3r/pull/166
* Bnb/exo refactor by bnb32 in https://github.com/NREL/sup3r/pull/167
* GAPs integration by ppinchuk in https://github.com/NREL/sup3r/pull/168
* Bnb/exo refactor plus by bnb32 in https://github.com/NREL/sup3r/pull/169
* Update version.py by bnb32 in https://github.com/NREL/sup3r/pull/170

New Contributors
* ppinchuk made their first contribution in https://github.com/NREL/sup3r/pull/168

**Full Changelog**: https://github.com/NREL/sup3r/compare/v0.1.0...v0.1.1

What’s Changed

* Various enhancements and fix for conditional moment (144) malihass
* Gb/sup3rcc example (147) grantbuster
* Bnb/era edits (146) bnb32
* Gb/exo cache (145) grantbuster

Bug Fixes

* edge case fix for collection - get_slices (143) bnb32