commit: a1ea11309ac02ea69749e5f5e0b532a1d25a57e4 Author: Alexander Puck Neuwirth <alexander <AT> neuwirth-informatik <DOT> de> AuthorDate: Thu Feb 1 21:59:23 2024 +0000 Commit: Alexander Puck Neuwirth <alexander <AT> neuwirth-informatik <DOT> de> CommitDate: Sat Feb 17 17:22:47 2024 +0000 URL: https://gitweb.gentoo.org/proj/sci.git/commit/?id=a1ea1130
dev-python/jacobi: new package, add 0.8.1 Signed-off-by: Alexander Puck Neuwirth <alexander <AT> neuwirth-informatik.de> Co-authored-by: Andrew Ammerlaan <andrewammerlaan <AT> gentoo.org> Closes: https://github.com/gentoo/sci/pull/1236 Signed-off-by: Alexander Puck Neuwirth <alexander <AT> neuwirth-informatik.de> dev-python/jacobi/jacobi-0.8.1.ebuild | 24 ++++++++++++++++++++++++ dev-python/jacobi/metadata.xml | 21 +++++++++++++++++++++ 2 files changed, 45 insertions(+) diff --git a/dev-python/jacobi/jacobi-0.8.1.ebuild b/dev-python/jacobi/jacobi-0.8.1.ebuild new file mode 100644 index 000000000..404e8c2ca --- /dev/null +++ b/dev-python/jacobi/jacobi-0.8.1.ebuild @@ -0,0 +1,24 @@ +EAPI=8 + +PYTHON_COMPAT=( python3_{10..12} ) +DISTUTILS_USE_PEP517=setuptools +inherit distutils-r1 pypi + +DESCRIPTION="Numerical derivatives for analytic functions with arbitrary precision." +HOMEPAGE="https://github.com/HDembinski/jacobi"; + +LICENSE="MIT" +SLOT="0" +KEYWORDS="~amd64" + +RDEPEND=" + >=dev-python/numpy-1.10[${PYTHON_USEDEP}] +" +BDEPEND="${RDEPEND}" + +distutils_enable_tests pytest + +EPYTEST_IGNORE=( + tests/bench.py +) + diff --git a/dev-python/jacobi/metadata.xml b/dev-python/jacobi/metadata.xml new file mode 100644 index 000000000..ebbabb06c --- /dev/null +++ b/dev-python/jacobi/metadata.xml @@ -0,0 +1,21 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd";> +<pkgmetadata> + <maintainer type="project"> + <email>[email protected]</email> + <name>Gentoo Science Project</name> + </maintainer> + <maintainer type="person"> + <email>[email protected]</email> + <name>Alexander Puck Neuwirth</name> + </maintainer> + <longdescription lang="en"> + Robustly compute the generalised Jacobi matrix for an arbitrary real analytic mapping ℝⁿ → ℝⁱ¹ × ... × ℝⁱⁿ + Returns error estimates for derivatives + Perform statistical error propagation based on numerically computed jacobian + </longdescription> + <upstream> + <remote-id type="pypi">jacobi</remote-id> + <remote-id type="github">HDembinski/jacobi</remote-id> + </upstream> +</pkgmetadata>
