diff options
| -rw-r--r-- | dev-python/jacobi/Manifest | 1 | ||||
| -rw-r--r-- | dev-python/jacobi/jacobi-0.8.1.ebuild | 24 | ||||
| -rw-r--r-- | dev-python/jacobi/metadata.xml | 21 |
3 files changed, 46 insertions, 0 deletions
diff --git a/dev-python/jacobi/Manifest b/dev-python/jacobi/Manifest new file mode 100644 index 000000000..984faa790 --- /dev/null +++ b/dev-python/jacobi/Manifest @@ -0,0 +1 @@ +DIST jacobi-0.8.1.tar.gz 997020 BLAKE2B ba54654e8a202976242674afa79de06d486d03c6d78b5566711df7df4ddcf5bbaa0e536eb9feeb0b0d6aaa9a444f677dfbbfa9928e38431aa9377c97132d4a26 SHA512 4a9a280cfae81926563c9736bf1805a3fe379809fe51421bdd0659651008d07d9f772df5006a1b796959311956822839791289eacb03af39823dd5a671b3845a 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>sci@gentoo.org</email> + <name>Gentoo Science Project</name> + </maintainer> + <maintainer type="person"> + <email>alexander@neuwirth-informatik.de</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> |