amp 0.6.1-1build8 source package in Ubuntu

Changelog

amp (0.6.1-1build8) lunar; urgency=medium

  * No-change rebuild with Python 3.11 only

 -- Graham Inggs <email address hidden>  Thu, 16 Mar 2023 07:17:39 +0000

Upload details

Uploaded by:
Graham Inggs
Uploaded to:
Lunar
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
amp_0.6.1.orig.tar.gz 3.1 MiB 0111cda57c55caa21529c1fae53625e6c9a9653434e0be8d54d6d1a46042116f
amp_0.6.1-1build8.debian.tar.xz 3.6 KiB d98be6209fe3b3b974c2af03faabf8de81ab4c9e3182b9fa759399e031dea0c3
amp_0.6.1-1build8.dsc 2.1 KiB d1ff71e43e614cb68846c00e03d198f7887f298abf861871475d77e15e55239e

Available diffs

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Binary packages built by this source

python3-amp: Atomistic Machine-learning Package (python 3)

 Amp is an open-source package designed to easily bring machine-learning to
 atomistic calculations. This project is being developed at Brown University in
 the School of Engineering, primarily by Andrew Peterson and Alireza Khorshidi,
 and is released under the GNU General Public License. Amp allows for the
 modular representation of the potential energy surface, allowing the user to
 specify or create descriptor and regression methods.
 .
 Amp is designed to integrate closely with the Atomic Simulation Environment
 (ASE). As such, the interface is in pure python, although several
 compute-heavy parts of the underlying code also have fortran versions to
 accelerate the calculations. The close integration with ASE means that any
 calculator that works with ASE ─ including EMT, GPAW, DACAPO, VASP, NWChem,
 and Gaussian ─ can easily be used as the parent method.
 .
 This package provides the python 3 modules.

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