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Uploaded Fri Nov 18 02:14:15 2022
md5 checksum e7eabf13eb6c6e0be114001f2c5bdc96
build py_0
depends bs4, geoglows, hs_restclient, hydrostats, lxml, numpy, pandas, plotly, python, requests, scipy
license {'name': 'release_package', 'version': '1.1', 'description': 'This app uses the Bias Correction, the GESS forecast, and the observed water level to create a National Hydrological Forecast Model in Peru.', 'long_description': '', 'author': 'Darlly Judith Rojas-Lesmes, Jorge Luis Sanchez-Lozano', 'author_email': 'djrojasl@unal.edu.co, jorgessanchez7@gmail.com', 'url': '', 'license': ''}
noarch python
subdir noarch
target-triplet None-any-None
timestamp 1668737608466