r-bioc-basilisk 1.10.2+ds-4 source package in Ubuntu
Changelog
r-bioc-basilisk (1.10.2+ds-4) unstable; urgency=medium * Team upload. * Due to conda dependencies this package seems to work for amd64 only * Standards-Version: 4.6.2 (routine-update) -- Andreas Tille <email address hidden> Tue, 10 Jan 2023 19:12:19 +0100
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- amd64
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-bioc-basilisk_1.10.2+ds-4.dsc | 2.1 KiB | 3704a9db308a43b883a8ddc666881f92f4db5389cb5a37aee4121719de9750a0 |
r-bioc-basilisk_1.10.2+ds.orig.tar.xz | 26.4 KiB | 50635fc89a8b58e0870339ee7d99e23f3645ce1a77dc8a6b32fb0ca0919de017 |
r-bioc-basilisk_1.10.2+ds-4.debian.tar.xz | 2.8 KiB | 41c35e0503f24f938faacfd2843b7c40c5120c551692f39d2f06c495aa603b86 |
Available diffs
- diff from 1.10.2+ds-3 to 1.10.2+ds-4 (619 bytes)
No changes file available.
Binary packages built by this source
- r-bioc-basilisk: freezing Python dependencies inside Bioconductor packages
Installs a self-contained conda instance that is managed by the
R/Bioconductor installation machinery. This aims to provide a consistent
Python environment that can be used reliably by Bioconductor packages.
Functions are also provided to enable smooth interoperability of
multiple Python environments in a single R session.
.
The parallel installation of multiple versions of the same software is
not supported in Debian - that is meant as a feature, not as a bug.
Earlier versions of anything that has ever surfaced in Debian can be
retrieved via snapshot.debian.org and integrated in a running system
via a chroot directory or by creating a container. An increasing number
of Python-R-interactions for machine learning however uses basilisk
to help quick'n'easy reproducibility between installations.