added torchio ebuild

sci-libs/torchio/Manifest

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+DIST torchio-0.17.42.tar.gz 23194366 SHA256 afc1a26c61cdaabd34bc44992a0afa72c2130a1d8aa509bdbe7326c4e6546caa SHA512 c6a2696a2b76d3699eb47f77ce490f0aff4aea93bf4d6e64a2bf96801d098f9e898a7f6dd657581aadb3f7edb46f40c1676a31c2c6ded14a38f9457536c07d1e WHIRLPOOL 47733cc96b417a0b2c401a6b98600955a8ff003edc42e50cf328151631a74decac3a3a8dfcdc30be3d6a687b9240a5b9fe8d8e18c8f4a1b3c743918d0627f6b7

sci-libs/torchio/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="person">
+        <email>klugh@ethz.ch</email>
+        <name>Hendrik Klug</name>
+    </maintainer>
+    <longdescription>
+        TorchIO is a Python package containing a set of tools to efficiently read,
+        preprocess, sample, augment, and write 3D medical images in deep learning
+        applications written in PyTorch, including intensity and spatial transforms
+        for data augmentation and preprocessing. Transforms include typical computer
+        vision operations such as random affine transformations and also
+        domain-specific ones such as simulation of intensity artifacts due to MRI
+        magnetic field inhomogeneity or k-space motion artifacts.
+    </longdescription>
+    <upstream>
+        <remote-id type="github">fepegar/torchio</remote-id>
+    </upstream>
+</pkgmetadata>

sci-libs/torchio/torchio-0.17.42.ebuild

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+# Copyright 1999-2020 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+PYTHON_COMPAT=( python3_{6,7,8} )
+DISTUTILS_SINGLE_IMPL=1
+DISTUTILS_USE_SETUPTOOLS=rdepend
+
+inherit distutils-r1
+
+DESCRIPTION="A set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications."
+HOMEPAGE="https://torchio.readthedocs.io/"
+SRC_URI="https://github.com/fepegar/torchio/archive/v${PV}.tar.gz -> ${P}.tar.gz"
+KEYWORDS="~amd64 ~x86"
+LICENSE="MIT license"
+SLOT="0"
+IUSE=""
+REQUIRED_USE="${PYTHON_REQUIRED_USE}"
+DEPEND="
+    $(python_gen_cond_dep '
+    dev-python/click[${PYTHON_USEDEP}]
+    dev-python/humanize[${PYTHON_USEDEP}]
+    sci-libs/nibabel[${PYTHON_USEDEP}]
+    dev-python/numpy[${PYTHON_USEDEP}]
+    dev-python/deprecation[${PYTHON_USEDEP}]
+    dev-python/scipy[${PYTHON_USEDEP}]
+    >=sci-libs/pytorch-1.1[${PYTHON_USEDEP}]
+    dev-python/tqdm[${PYTHON_USEDEP}]
+    ')
+    sci-libs/simpleitk[${PYTHON_SINGLE_USEDEP}]
+"
+
+RDEPEND="${DEPEND}"
+
+distutils_enable_tests pytest