ebuild files

sci-biology/samri/Manifest

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+DIST samri-0.4.tar.gz 4110506 SHA256 1344d27f7af8088d3796b27e32395511fc9ea1d27baed36432963da72ccd0c5b SHA512 5d3f148707df7484be4ba17d3abe9e964510bf830f66919f9b0b9d85f739c37ebff84439a69fc0eb074f4dfb48eec74eef79c6764fcac9895d37f1f4c292c8ab WHIRLPOOL f629a06e79ca6f67a08c087a34ee7bf766dd0bb809ad5ad464b77b49e74aedcc173a01c25be825c24005b6af1caddaf6e6b21348a8e51560eab8726e8092d1ac

sci-biology/samri/metadata.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+  <maintainer type="project">
+    <email>chr@chymera.eu</email>
+    <name>Horea Christian</name>
+  </maintainer>
+  <longdescription lang="en">
+  SAMRI (Small Animal Magnetic Resonance Imaging) — pronounced "Sam-rye" — provides fMRI preprocessing, metadata parsing, and data analysis functions and workflows. SAMRI integrates functionalities from a number of other packages (listed under the dependencies section below) to create higher-level tools. The resulting interfaces aim to maximize reproducibility, simplify batch processing, and minimize the number of function calls required to generate figures and statistical summaries from the raw data.
+</longdescription>
+  <upstream>
+    <remote-id type="github">IBT-FMI/SAMRI</remote-id>
+  </upstream>
+</pkgmetadata>

sci-biology/samri/samri-0.4.ebuild

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+# Copyright 1999-2019 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+PYTHON_COMPAT=( python3_{5,6} )
+
+inherit distutils-r1
+
+DESCRIPTION="Small Animal Magnetic Resonance Imaging"
+HOMEPAGE="https://github.com/IBT-FMI/SAMRI"
+SRC_URI="https://github.com/IBT-FMI/SAMRI/archive/${PV}.tar.gz -> ${P}.tar.gz"
+
+LICENSE="GPL-3"
+SLOT="0"
+IUSE="test"
+KEYWORDS="~amd64 ~x86"
+
+DEPEND="
+	test? (
+		dev-python/pytest[${PYTHON_USEDEP}]
+		sci-biology/samri_bidsdata
+		sci-biology/samri_bindata
+	)
+"
+RDEPEND="
+	dev-python/argh[${PYTHON_USEDEP}]
+	dev-python/joblib[${PYTHON_USEDEP}]
+	>=dev-python/matplotlib-2.0.2[${PYTHON_USEDEP}]
+	>=dev-python/numpy-1.13.3[${PYTHON_USEDEP}]
+	dev-python/pandas[${PYTHON_USEDEP}]
+	dev-python/seaborn[${PYTHON_USEDEP}]
+	dev-python/statsmodels[${PYTHON_USEDEP}]
+	media-gfx/blender
+	>=sci-biology/fsl-5.0.9
+	sci-biology/bru2nii
+	sci-biology/mouse-brain-atlases
+	sci-libs/nibabel[${PYTHON_USEDEP}]
+	>=sci-libs/nipy-0.4.1[${PYTHON_USEDEP}]
+	>=sci-libs/nipype-1.0.0[${PYTHON_USEDEP}]
+	<=sci-libs/pybids-0.6.5[${PYTHON_USEDEP}]
+	sci-libs/scikits_image[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	sci-biology/ants
+	sci-biology/afni
+	sci-biology/nilearn[${PYTHON_USEDEP}]
+"
+
+S="${WORKDIR}/SAMRI-${PV}"