commit: 7ab4a02b52161d90041cbe356c9d79d26fadd597 Author: Aisha Tammy <gentoo <AT> aisha <DOT> cc> AuthorDate: Sun Sep 27 11:39:09 2020 +0000 Commit: Aisha Tammy <gentoo <AT> aisha <DOT> cc> CommitDate: Sun Sep 27 12:35:08 2020 +0000 URL: https://gitweb.gentoo.org/proj/sci.git/commit/?id=7ab4a02b
sci-astronomy/eye: drop live only dead package Package-Manager: Portage-3.0.8, Repoman-3.0.1 Signed-off-by: Aisha Tammy <gentoo <AT> aisha.cc> sci-astronomy/eye/eye-9999.ebuild | 36 ------------------------------------ sci-astronomy/eye/metadata.xml | 17 ----------------- 2 files changed, 53 deletions(-) diff --git a/sci-astronomy/eye/eye-9999.ebuild b/sci-astronomy/eye/eye-9999.ebuild deleted file mode 100644 index 2ec0f52ff..000000000 --- a/sci-astronomy/eye/eye-9999.ebuild +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright 1999-2016 Gentoo Foundation -# Distributed under the terms of the GNU General Public License v2 - -EAPI=6 - -inherit subversion - -ESVN_REPO_URI="https://astromatic.net/pubsvn/software/${PN}/trunk" -ESVN_OPTIONS="--trust-server-cert-failures=unknown-ca" - -SRC_URI="" -KEYWORDS="" - -DESCRIPTION="Enhance astronomical object extraction with neural network filters" -HOMEPAGE="http://www.astromatic.net/software/eye" - -LICENSE="GPL-3" -SLOT="0" -IUSE="doc threads" - -RDEPEND="" -DEPEND="${RDEPEND}" - -src_prepare() { - default - subversion_src_prepare -} - -src_configure() { - econf $(use_enable threads) -} - -src_install () { - default - use doc && dodoc doc/* -} diff --git a/sci-astronomy/eye/metadata.xml b/sci-astronomy/eye/metadata.xml deleted file mode 100644 index 0bbded1cf..000000000 --- a/sci-astronomy/eye/metadata.xml +++ /dev/null @@ -1,17 +0,0 @@ -<?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 Astronomy Project</name> - </maintainer> - <longdescription lang="en"> -In EyE (Enhance Your Extraction) an artificial neural network -connected to pixels of a moving window (retina) is trained to -associate these input stimuli to the corresponding response in one -or several output image(s). The resulting filter can be loaded in -SExtractor to operate complex, wildly non-linear filters on -astronomical images. Typical applications of EyE include adaptive -filtering, feature detection and cosmetic corrections. -</longdescription> -</pkgmetadata>
