Metadata-Version: 2.1
Name: ngiab_eval
Version: 0.0.6
Summary: Basic KGE and NSE evaluation for the NGIAB project
Author-email: Josh Cunningham <jcunningham8@ua.edu>
Project-URL: Homepage, https://github.com/JoshCu/ngiab_eval
Project-URL: Issues, https://github.com/JoshCu/ngiab_eval/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: xarray ==2024.2.0
Requires-Dist: dask ==2024.4.1
Requires-Dist: dask[distributed] ==2024.4.1
Requires-Dist: s3fs ==2024.3.1
Requires-Dist: zarr ==2.17.1
Requires-Dist: hydrotools
Requires-Dist: hydroeval
Requires-Dist: netcdf4
Requires-Dist: colorama
Provides-Extra: plot
Requires-Dist: seaborn ; extra == 'plot'
Requires-Dist: matplotlib ; extra == 'plot'

# Please don't use this
If you've found this, it's a throw-away prototype to help with planning. Don't expect anything other than random numbers to come out of it. I haven't spent any time making this efficient or properly validating correctness, please don't use this as is or even as a reference. The gage_to_feature_id.py map is "correct" as far as the nwm output is stored in s3 zarrs, but I have not verified that those features are correct for those gages.
