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sci-visualization/tensorboard: Use pypi.eclass

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Signed-off-by: Michał Górny <mgorny@gentoo.org>
This commit is contained in:
Michał Górny
2023-03-27 21:20:24 +02:00
parent e549e2832a
commit c06dfca39c
2 changed files with 13 additions and 9 deletions
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2
sci-visualization/tensorboard/Manifest
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@@ -1,2 +1,2 @@
DIST tensorboard-2.10.0.zip 5873469 BLAKE2B b03a804682275abd83482e6dc8e62bef4301d796ef5bd2b02bed8d15ab16ff4bd19f1b9e3488e12ea6c03e1b7a85fd69a6a226f0a5378da2067c661b7f1f2f7e SHA512 04da20089d7e24e2c519da24bb8ad32f622386799e28403e036d40c29bc99011cc374480176776b0801df0e37eb2b0e93a987d2a97cd7406eabb75bfd649a311
DIST tensorboard-2.11.0.zip 5990351 BLAKE2B d6796fceb047abc69c84c8f30ce6b5e0739a376e110fb7e2bb78ee5b6c7dd8d1344546950d46dbdc3a47780f4ad685be186087286225dbeb9ebce558f0837d8c SHA512 f1b908e13a56a86f6618ae8bf596339243642d0f00793d326ac884fd8e736bb316331728b474022936570fb6202b323d8ba2bf4908619aa1f79411b904edf209
DIST tensorboard-2.11.0-py3-none-any.whl.zip 5990351 BLAKE2B d6796fceb047abc69c84c8f30ce6b5e0739a376e110fb7e2bb78ee5b6c7dd8d1344546950d46dbdc3a47780f4ad685be186087286225dbeb9ebce558f0837d8c SHA512 f1b908e13a56a86f6618ae8bf596339243642d0f00793d326ac884fd8e736bb316331728b474022936570fb6202b323d8ba2bf4908619aa1f79411b904edf209

20
sci-visualization/tensorboard/tensorboard-2.11.0.ebuild
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@@ -4,11 +4,12 @@
EAPI=8
PYTHON_COMPAT=( python3_10 )
inherit python-r1
inherit python-r1 pypi
DESCRIPTION="TensorFlow's Visualization Toolkit"
HOMEPAGE="https://www.tensorflow.org/"
SRC_URI="https://files.pythonhosted.org/packages/py3/${PN::1}/${PN}/${P}-py3-none-any.whl -> ${P}.zip"
SRC_URI="$(pypi_wheel_url --unpack)"
S=${WORKDIR}
LICENSE="Apache-2.0"
SLOT="0"
@@ -30,12 +31,15 @@ RDEPEND="
>=dev-python/setuptools-41[${PYTHON_USEDEP}]
dev-python/werkzeug[${PYTHON_USEDEP}]
dev-python/wheel[${PYTHON_USEDEP}]
>=dev-python/scipy-1.4.1[${PYTHON_USEDEP}]"
BDEPEND="app-arch/unzip
${PYTHON_DEPS}"
PDEPEND="sci-libs/tensorflow[python,${PYTHON_USEDEP}]"
S="${WORKDIR}"
>=dev-python/scipy-1.4.1[${PYTHON_USEDEP}]
"
BDEPEND="
app-arch/unzip
${PYTHON_DEPS}
"
PDEPEND="
sci-libs/tensorflow[python,${PYTHON_USEDEP}]
"
src_prepare() {
eapply_user