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NOTICE
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PyNets®: A Reproducible Workflow for Structural and Functional Connectome
Ensemble Learning
Copyright (C) 2017 Derek Pisner
dpisner@utexas.edu
*Since its conception in 2017 this product was provided in open-source under a
GNU GPL Version 2 (GPLv2) license. Beginning in December 2021, however, this
product was approved for relicensing in open-source under a GNU Affero GPL
Version 3 (AGPLv3) license, the terms of which can be found verbatim in
licenses/AGPL-3.0.txt, will apply retroactively to all previous released
versions, and which are summarized briefly herein:
This product is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This product is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
*This product includes software that depends on open-source libraries
developed by the SciPy (https://scipy.org/), Scikit-Learn
(https://scikit-learn.org/), and NiPy (https://nipy.org/) Communities.
See `licenses/THIRDPARTY.txt` for details.
*Portions of this product were developed while the author was a graduate
student at the Department of Psychology at the University of Texas at Austin,
Austin, TX, US. However, no portions of this product were developed
using any form of federal funding or assistance. Accordingly, the University
of Texas at Austin, on behalf of the Board of Regents of the University of
Texas System, has confirmed that it does not assert any ownership interest in
this product in any form, its embodying U.S. Patent 11,188,850, Application
16/372,367, or any patents or patent applications that claim priority to that
application.
*This product redistributes the versioneer Python package, which is
Public domain source code.
*This product is also distributed as a Docker container image.
The bootstraping file for the image ("Dockerfile") is licensed
under the MIT License.