Gabriele Bozzola, thank you very much for sharing this new and very interesting tool! I'm also interested in attending a presentation about it.
Cheers, Bruno Il giorno gio 14 gen 2021 alle ore 06:18 Gabriele Bozzola < [email protected]> ha scritto: > Hello, > > I developed a new package to analyze Einstein Toolkit simulations, kuibit > [0,1]. > kuibit is a Python3.6+ code that I built from scratch following the same > design > (and in various instances, implementation details too) of Wolfgang > Kastaun's > PostCactus. > > kuibit provides high-level data types to easily work with grid functions, > time > and frequency series, gravitational waves, and so on. It also has readers > to > effortlessly access simulation data with full support for HDF5 and ASCII > output > (1D, 2D, 3D grid data, scalar data, reductions, horizon data, ...). You > can find > a reasonably comprehensive list of features in the documentation [2] or a > high-level summary in the frontpage of the docs [3]. > > One of the main reasons I wrote this code is for other people to use it. > Our group (University of Arizona) is a young one and we don't have any > sophisticated > toolchain to analyze simulation data. Without suitable tools, > post-processing > simulations can be a daunting task for those that are new to the Einstein > Toolkit. > > Given that I want other people to use kuibit, I made the effort to make > the code user > and developer-friendly. For users, there is documentation [4] with > examples and > small tutorials. Also, the package is on PyPI so it can be easily > installed and updated. > For developers, the entire codebase has unit tests and continuous > integration [5], > there are extensive comments, and the style of the code is rather verbose > to help developers understand what is going on. The continuous integration > also > lints the code, performs static analysis, and generates the documentation, > reducing the maintenance costs. > > kuibit takes care of all the low-level details need to deal with > simulation data, so > it greatly lowers the entry barrier in using the Einstein Toolkit. I > believe that this, > along with the care I put in making the code accessible to other > developers, > makes kuibit a good candidate for inclusion in the Einstein Toolkit. > > The main problem with kuibit is that it is a new code: regardless of all > the > tests I wrote, there will be bugs, unergonomic interfaces, and performance > issues. > kuibit needs to be tested with several real-world projects and > cross-checked with > other codes. > > I am happy to give a short introduction to kuibit during a weekly call if > there's > interest. In the meantime, the code is available here: > https://github.com/Sbozzolo/kuibit > > Best regards, > Gabriele Bozzola > > [0] https://github.com/Sbozzolo/kuibit > [1] https://github.com/Sbozzolo/kuibit#what-is-a-kuibit > [2] https://sbozzolo.github.io/kuibit/features.html > [3] https://sbozzolo.github.io/kuibit/#summary-of-features > [4] https://sbozzolo.github.io/kuibit/ > [5] https://github.com/Sbozzolo/kuibit/actions > _______________________________________________ > Users mailing list > [email protected] > http://lists.einsteintoolkit.org/mailman/listinfo/users > -- Prof. Bruno Giacomazzo Department of Physics University of Milano-Bicocca Piazza della Scienza 3 20126 Milano Italy email: [email protected] phone: (+39) 02 6448 2321 web: http://www.brunogiacomazzo.org ---------------------------------------------------------------------- There are only 10 types of people in the world: Those who understand binary, and those who don't ----------------------------------------------------------------------
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