No Description
| Uploaded | Mon Nov 14 06:48:35 2022 |
| md5 checksum | b3de16ae3c89dd59f55301b1267e8678 |
| build | py_0 |
| depends | elementpath, geoglows, hydrostats, numpy, pandas, plotly, python, requests, scipy, xmltodict |
| 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 Brazil.', '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 | 1668408489526 |