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Source: r-bioc-basilisk
Section: gnu-r
Priority: optional
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Steffen Moeller <moeller@debian.org>
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-basilisk
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-basilisk.git
Homepage: https://bioconductor.org/packages/basilisk/
Standards-Version: 4.7.0
Rules-Requires-Root: no
Build-Depends: debhelper-compat (= 13),
dh-r,
r-base-dev,
r-cran-reticulate,
r-bioc-dir.expiry,
r-bioc-basilisk.utils (>= 1.15.1),
architecture-is-64-bit
Testsuite: autopkgtest-pkg-r
Package: r-bioc-basilisk
Architecture: amd64 arm64
# basilisk builds everywhere, but since it depends on conda, we only package for amd64 and arm64
# as conda does not yet (2024-08-18) support mips64el, riscv64, ppc64el, etc..
Depends: ${R:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: 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.
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