Source: r-bioc-basilisk
Standards-Version: 4.7.3
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Steffen Moeller <moeller@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
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,
 architecture-is-little-endian,
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/
Rules-Requires-Root: no

Package: r-bioc-basilisk
Architecture: amd64 arm64
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.
