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Updated flatcam and dependency galore / minor updates to other ebuilds

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This commit is contained in:
layman
2022-11-27 22:14:54 +01:00
parent b722f6b0a1
commit 1a100e11bc
38 changed files with 1073 additions and 24 deletions
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dev-python/affine/Manifest
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DIST affine-2.3.0.tar.gz 14860 BLAKE2B 3f1f2bf69e26bc7c73ad7d4fc2fa0a51b3cb5ccea3e88982dd682f377df0c6fde00e037893aa466d89955e7800fa99580b02108ce7acb68fb1b38cb67e4753e6 SHA512 25e3671542a4bcb45c04a3e4a1c312f7e427091470b30b115dd8d0c7a1f3ac008e1b1f9222ca60b08b4717cab90fc224f2e70fc0184ca371ccf918f8c04a23ce
EBUILD affine-2.3.0.ebuild 488 BLAKE2B f74796a9ef6b6fc10bd7272dee8d598603367b04895e58ae1cafb8aea1d8aafbd14a0e7f0541ab65ee306def8e98f7fe788a60e364bca314d17431dd18ee8b74 SHA512 09b6bebe40890ce5071486cfd8775c2f2a98b6587a3e32d79ff7648faf8c2771d02ce4ea55d5f2838ed14fdd292e182a71505f0679df75b3b6407c873432ad00
MISC metadata.xml 633 BLAKE2B 031dedeb1a7714b178a9fe5874c18457a6b8128a1612eb226ce1227c9e4bd2b84d6a1ac6bdea94382f79db111640adeb3a13137479eee488471bb722a3b21093 SHA512 d6b13124bbc17fcaabafebb7334578df068090b93423ef00f8f0ac015561ec37470fb6e5edb96f0fd175889237aa3cd03d0fcbe70db9b304deb44a6bf13431a9
dev-python/affine/affine-2.3.0.ebuild
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# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{8..10} )
DISTUTILS_USE_PEP517="setuptools"
inherit distutils-r1
DESCRIPTION="Library for handling affine transformations of the plane"
HOMEPAGE="https://github.com/rasterio/affine"
SRC_URI="https://github.com/rasterio/${PN}/archive/refs/tags/${PV}.tar.gz -> ${P}.tar.gz"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~x86"
distutils_enable_tests pytest
dev-python/affine/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
Affine is a python library for handling affine transformations of the plane.
Georeferenced raster datasets use affine transformations to map from image
coordinates to world coordinates.
</longdescription>
<upstream>
<remote-id type="github">rasterio/affine</remote-id>
<remote-id type="pypi">affine</remote-id>
</upstream>
</pkgmetadata>
dev-python/cligj/Manifest
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DIST cligj-0.7.2.tar.gz 9894 BLAKE2B ebd187a6a7108a8d0a7d348fcb1d617402041d050a89209cb6c242bc47a87be953b679101656af9af31fd40947f1a5b3ded567dce9f3e64f425cce7f0f3036c1 SHA512 292c1a6de4ed5d4926ccd71802d369db383d310a3a8590729233448cebe5e9ad9dd6bff0d0c861890102bc9f23e90fe1b9db62275a9263765e3d77436a0b38b4
EBUILD cligj-0.7.2.ebuild 512 BLAKE2B 5a2e31960435d601924cdfc49745ad85a63807e963359325d2f6fb3c2d02277a44f9e82c2297141467a771f229d0f073a616be0845e49d3dbac792a74cc98607 SHA512 442ec013e25d63effae3616b8f6176d608952e343409b6e56a633990d5f8401189fcf8883142850218266f984215a2631b30ca78e37a470b2cdd3d93d93ce8ee
MISC metadata.xml 633 BLAKE2B 1374186c2fcaf9ca9593c6a014ad22038b26dcaed0dccca7b7bc392e44bbe557dd19411e86ec9c714737f9bc6563dc9da9103c29db14e508dd3da274943bf989 SHA512 d9f76c457068058e618c91aa0dcdcaa3b1dd8ba5a1ee363f4f2d50dc11d651e86a56285b475d4f5dac7736ec3d00e75d6970c543ce266645ed136c2d842c72f3
dev-python/cligj/cligj-0.7.2.ebuild
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# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{8..10} )
DISTUTILS_USE_PEP517="setuptools"
inherit distutils-r1
DESCRIPTION="Library for processing GeoJSON commands"
HOMEPAGE="https://github.com/mapbox/cligj"
SRC_URI="https://github.com/mapbox/${PN}/archive/refs/tags/${PV}.tar.gz -> ${P}.tar.gz"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~x86"
RDEPEND="dev-python/click[${PYTHON_USEDEP}]"
distutils_enable_tests pytest
dev-python/cligj/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
cligj is for Python developers who create command line interfaces for
geospatial data. cligj allows you to quickly build consistent,
well-tested and interoperable CLIs for handling GeoJSON.
</longdescription>
<upstream>
<remote-id type="github">mapbox/cligj</remote-id>
<remote-id type="pypi">cligj</remote-id>
</upstream>
</pkgmetadata>
dev-python/ezdxf/Manifest
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DIST ezdxf-0.16.5.zip 1552408 BLAKE2B d52131c776c5560da659db67b87a5403a0a0f44aa21781d9599555cc71a3a91cd4e92574f985079456bfd6c844fb693cdef5d16277e83dbd6ca378013d5423ca SHA512 1e35aea16bf169bc2fe3bc3accf83f42189371a80cea259f46dcee1e9c75b613f9c09e6e300a2f331510722a1eefa1550052b7d58c08c4e3a0868cebdfe7b330
EBUILD ezdxf-0.16.5.ebuild 858 BLAKE2B 6ce64f20f6281f302a3e439f4d9729caa32c345a0d0e4a4adb25d8fc27531fdf12332befbbb06e5fde7158a233a48ea16e80c9a7d0b53b6f00714f4dba184e29 SHA512 11e2e0f73d621d31dfdcbc998a8308aa84eb80315071606a3f6ed0a130bfe522899091efefd193bbefcd0338e540066aa54de09652aa86e5dbe4eb210ba9849c
MISC metadata.xml 579 BLAKE2B 27fe800a2725df00787a668d79eeffc21cacf86bc4cc464aa8be45e62b8f9ab1bacb0cb6556972c270d0f22186cb280fdd1a6efbd541172d9addcfebb03489c3 SHA512 b557483acbf1e002873cce2da94115dacea94009236e62b409701eb6c82a5073bbb2e4de4ad0697e1194f07faf7d376a5dc26d3c37a408a74d837762ebf24f00
dev-python/ezdxf/ezdxf-0.16.5.ebuild
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# Copyright 1999-2021 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
#FIXME: Upstream explicitly supports "pypy3", but Gentoo dependencies do not.
PYTHON_COMPAT=( python3_{8..10} )
inherit distutils-r1
DESCRIPTION="Python interface to DXF"
HOMEPAGE="https://pypi.org/project/ezdxf"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.zip"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="cython matplotlib qt5"
BDEPEND="
cython? ( dev-python/cython[${PYTHON_USEDEP}] )
app-arch/unzip
"
DEPEND="
dev-python/typing-extensions[${PYTHON_USEDEP}]
>=dev-python/pyparsing-2.0.1[${PYTHON_USEDEP}]
"
RDEPEND="${DEPEND}
matplotlib? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
qt5? ( dev-python/PyQt5[${PYTHON_USEDEP}] )
"
#FIXME: Enabling tests requires packaging additional packages (e.g., "geomdl").
RESTRICT="test"
dev-python/ezdxf/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>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<upstream>
<remote-id type="pypi">ezdxf</remote-id>
<remote-id type="github">mozman/ezdxf</remote-id>
</upstream>
<use>
<flag name="cython">Build Cython-based C extensions</flag>
<flag name="matplotlib">Add support for dev-python/matplotlib</flag>
<flag name="qt5">Add support for dev-python/PyQt5</flag>
</use>
</pkgmetadata>
dev-python/freetype-py/Manifest
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DIST freetype-py-2.3.0.zip 830613 BLAKE2B a4da0183749559059031e9f7e10bbbaca4d5cfca8f1d4a562cbd4ca49032f4feae235065336d7af2706e71c99525c5f263fb37d490c0c12c197f9359f5698a72 SHA512 f00754415e6b10e4cc62f96b6c52b437041ad1aaedae206aa8fedbe583243f38703b24e53b791e9afdcea66d67d108b492d55f4c7fdd31cec9542a8398191bb7
EBUILD freetype-py-2.3.0.ebuild 603 BLAKE2B c147e1c75854541111735d4bb9198c3f0ac3554c5e07758caff13a40a6d842273a25d0fc94853ea13a429a2caea6b404ba4f9c5afc6ffb5800506d826bd04c62 SHA512 f8a306fa34ba3105bc16e5b632040c2eb316573065f4c69325d54af29bc26256fb03d464f5ad238f7786cf61e1be1c0323d3a9ab737d8c06b983d407b5fbb502
MISC metadata.xml 387 BLAKE2B f40affe629064429995e522511ec5b5943bf5ea62715198e316e59184c30c468e8584774361fcc3600a0c2e463baeb63d67731487781cdfefcfc002a9e7d6862 SHA512 46705f6d50a5daefbf3e5721e3ebe018b6d1dc0b1a58e2aefadef69048b9463cd6c507ff5c908f2f98a08ef1e0d52c4c62dae4dce36b234bec7d42be5f801458
dev-python/freetype-py/freetype-py-2.3.0.ebuild
+26
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# Copyright 2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{8..11} )
inherit distutils-r1
DESCRIPTION="Python binding for the freetype library"
HOMEPAGE="http://freetype-py.readthedocs.org"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.zip"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~x86"
DEPEND="media-libs/freetype:2"
RDEPEND="${DEPEND}"
BDEPEND="dev-python/setuptools_scm[${PYTHON_USEDEP}]
app-arch/unzip
"
distutils_enable_tests pytest
distutils_enable_sphinx doc dev-python/sphinx_rtd_theme
dev-python/freetype-py/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<email>universebenzene@sina.com</email>
<name>Astro Benzene</name>
</maintainer>
<upstream>
<remote-id type="pypi">freetype-py</remote-id>
<remote-id type="github">rougier/freetype-py</remote-id>
</upstream>
</pkgmetadata>
dev-python/hsluv/Manifest
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DIST hsluv-5.0.3.tar.gz 541164 BLAKE2B 2f2681a820c4253c2a443f448bf607fd0feaab3e183dfe53577f27a727b1142ccc4d7dd3827e1cc57bcfdffc49ce118413619cbfac2d6cbca25d1915c1df2fda SHA512 18fef949ca1e6607f5053340f368679224f5870590c95de7afa750c3e6bde62dd467b538e7264dd5854918024e06511fe314eedb52882dc09fa99a1fc25d3a59
EBUILD hsluv-5.0.3.ebuild 424 BLAKE2B 34ea6b6cd6e7bdbb6210027462e931d33f8f415a2b63985fb0cfa9afa972fa4a109850cdbf727c6b19d42e0cc3aad825cfb8986194819ce6459cb0ddcde5e69f SHA512 d3dfcd22b8ac17cf3802e33384a594475490f77dbf0f0e88e88f380114a9c0294905c4ace5a21b558c274c62885b08c2fe931f49fd20411f2a3048b46e4574a0
MISC metadata.xml 380 BLAKE2B a55297e5be7d90d57fdbae6449cb69e92168100242d207bc00c926c80f006340eb11bce5ffe21c4c0418dcf3f4bce29a14a51e55c27ac7a72ea54a3addfe0511 SHA512 2d64734687118c9605a1ef9484a08b407c539712bbd16cd6ff6c8c54afc46dae5ded440a56f9c0e7f4e8d2394fc139eff6b7a445f09e49728cbd92c5adabab6a
dev-python/hsluv/hsluv-5.0.3.ebuild
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# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
#DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{8..11} )
inherit distutils-r1
DESCRIPTION="Python implementation of HSLuv (revision 4)"
HOMEPAGE="https://www.hsluv.org"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64 ~x86"
distutils_enable_tests pytest
dev-python/hsluv/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<email>universebenzene@sina.com</email>
<name>Astro Benzene</name>
</maintainer>
<upstream>
<remote-id type="pypi">hsluv</remote-id>
<remote-id type="github">hsluv/hsluv-python</remote-id>
</upstream>
</pkgmetadata>
dev-python/mypy-protobuf/Manifest
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DIST mypy-protobuf-3.4.0.tar.gz 52119 BLAKE2B 052ea11fef079cf87803ea1893cdefd4b5c1be9510b485818b0cec9e56465f2e5bcea38d43c302735134bd83355414e8577906f83989887565e707680163514a SHA512 ca58351c71d0ff2a7b81b01ac5fd603fbb1892466a8f5c835a66994a5085e46f940bfac9c97d343a9e73850bca68ac9b5a5139f9626cd2e3ce1a0ead8ea2e914
EBUILD mypy-protobuf-3.4.0.ebuild 688 BLAKE2B 4ed5a77d8aaaac7d18c716ffa0167e685bca35a44379993da18ba5889dcd27f13cf42001506fd2f4809cc4b34b3f3169fff62f9a243a0d0a97131111798d4f9a SHA512 3d52f1240f4aed9755377ee7accc809e1a30193770b5f191ec69174a26554146a5f0beebe0a95fe17e170de3c1ab92afc58623273b93af169bc33eb1455cd7ef
dev-python/mypy-protobuf/mypy-protobuf-3.4.0.ebuild
+25
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# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{8..11} pypy3 )
DISTUTILS_USE_PEP517=setuptools
inherit distutils-r1
DESCRIPTION="open source tools to generate mypy stubs from protobufs"
HOMEPAGE="
http://www.mypy-lang.org/
https://github.com/nipunn1313/mypy-protobuf/"
SRC_URI="
https://github.com/nipunn1313/${PN}/archive/refs/tags/v${PV}.tar.gz
-> ${P}.tar.gz"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~alpha amd64 arm arm64 hppa ~ia64 ~loong ~mips ppc ppc64 ~riscv ~s390 sparc x86 ~x64-macos"
RDEPEND="
dev-python/mypy[${PYTHON_USEDEP}]
>=dev-python/protobuf-python-4.21.8[${PYTHON_USEDEP}]
"
dev-python/rasterio/Manifest
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DIST rasterio-1.2.10.tar.gz 12888995 BLAKE2B e6e4e55ae2fc7c10839625331f52a3366815672412dee7ee2332d32ce842c35ebbbb81e446d03a92a1cb6f877ecc377de1509d2d8c857ab7034dd246996b0318 SHA512 97559778163a36982b733137f6b5a879649c9591583cf80ccb38739f6565bf65c6b198d499242811ebb7342a3a4ef3756451bc3c7d1b431f8d1e568c6bae41d5
EBUILD rasterio-1.2.10-r1.ebuild 3731 BLAKE2B 336c3be9da0038c07e1fb64414753d872925a27c827e330c9a54aaccbdf5b0b82f8ddbe378b8f6e7c69bf9b3d307a868fac63304f3c7d7e262eb05c22b017107 SHA512 bd7d87a55ee0c184cc155ebc0c7401da8a422e058032a7430c3ca8ad5c9460186b9d3d5263f75ebee5e32e64647147252f003b0f09e9a2f7aa19e7b27cae592f
MISC metadata.xml 704 BLAKE2B dbbe8c83942cbaba85998b1223b41574f8436e2bf682e862f5bb423285d1cc0f6f0ae5a52a2cc157c111279cf434261e25d8c7d89c024df1785200f991dec723 SHA512 2937e52e2e7998f690557be4233a232a98b11c049b000c0491671b4cb1f000b5c8b3e289847a277a371b505f29117fee8ffb18562f34e449fd4404ff7e630865
dev-python/rasterio/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
Rasterio reads and writes geospatial raster data. Geographic information
systems use GeoTIFF and other formats to organize and store gridded,
or raster, datasets. Rasterio reads and writes these formats and
provides a Python API based on N-D arrays.
</longdescription>
<upstream>
<remote-id type="github">rasterio/rasterio</remote-id>
<remote-id type="pypi">rasterio</remote-id>
</upstream>
</pkgmetadata>
dev-python/rasterio/rasterio-1.2.10-r1.ebuild
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# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{8..10} )
DISTUTILS_USE_PEP517="setuptools"
inherit distutils-r1
DESCRIPTION="Command line tool and API for geospatial raster data"
HOMEPAGE="https://github.com/rasterio/rasterio"
SRC_URI="https://github.com/rasterio/${PN}/archive/refs/tags/${PV}.tar.gz -> ${P}.tar.gz"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~x86"
RDEPEND="
sci-libs/gdal:=[aux-xml(+),jpeg,png,threads(+)]
dev-python/affine[${PYTHON_USEDEP}]
dev-python/attrs[${PYTHON_USEDEP}]
dev-python/certifi[${PYTHON_USEDEP}]
dev-python/click[${PYTHON_USEDEP}]
dev-python/cligj[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/click-plugins[${PYTHON_USEDEP}]
dev-python/snuggs[${PYTHON_USEDEP}]
"
#DEPEND="${RDEPEND}"
BDEPEND="
dev-python/cython[${PYTHON_USEDEP}]
test? (
dev-python/boto3[${PYTHON_USEDEP}]
dev-python/hypothesis[${PYTHON_USEDEP}]
dev-python/shapely[${PYTHON_USEDEP}]
sci-libs/gdal:=[aux-xml(+),jpeg,png,threads(+)]
)
"
distutils_enable_tests pytest
python_test() {
local deselect=(
# disable tests failing for unknown reason
tests/test_env.py::test_rio_env_no_credentials
tests/test_rio_info.py::test_info_azure_unsigned
tests/test__env.py::test_search_debian_gdal_data
tests/test__env.py::test_search_gdal_data_debian
tests/test_warp.py::test_reproject_resampling[Resampling.cubic]
tests/test_warp.py::test_reproject_resampling[Resampling.lanczos]
tests/test_warp.py::test_reproject_resampling_alpha[Resampling.cubic]
tests/test_warp.py::test_reproject_resampling_alpha[Resampling.lanczos]
#tests/test_warp.py::test_warp_from_to_file_multi
# aux-xml
#tests/test_dataset.py::test_files
#tests/test_gcps.py::test_write_read_gcps_buffereddatasetwriter
#tests/test_rio_edit_info.py::test_delete_nodata
#tests/test_update.py::test_update_nodatavals_none
# curl
#tests/test_warp.py::test_reproject_error_propagation
# geos
#tests/test_warp.py::test_transform_geom_polygon_offset
#tests/test_warp.py::test_transform_geom_polygon_cutting
# png
#tests/test_colormap.py::test_write_colormap
#tests/test_no_georef.py::test_write
#tests/test_png.py::test_write_ubyte
#tests/test_rio_convert.py::test_autodetect_format
#tests/test_rio_merge.py::test_merge_output_dataset
#tests/test_shutil.py::test_delete[None-png]
#tests/test_shutil.py::test_delete[PNG-png]
#tests/test_write.py::test_write__autodetect_driver[png-PNG]
#tests/test_write.py::test_issue2088[PNG]
# jpeg
#tests/test_blocks.py::test_block_size_exception
#tests/test_crs.py::test_read_no_crs
#tests/test_memoryfile.py::test_zip_file_object_read
#tests/test_memoryfile.py::test_vrt_memfile
#tests/test_memoryfile.py::test_write_plus_model_jpeg
#tests/test_rio_convert.py::test_format
#tests/test_rio_convert.py::test_format_short
#tests/test_rio_convert.py::test_output_opt
#tests/test_rio_convert.py::test_convert_overwrite_without_option
#tests/test_rio_convert.py::test_convert_overwrite_with_option
#tests/test_rio_stack.py::test_format_jpeg
#tests/test_rio_warp.py::test_warp_vrt_gcps
#tests/test_shutil.py::test_copy_strict_failure
#tests/test_shutil.py::test_copy_strict_silent_failure
#tests/test_write.py::test_write__autodetect_driver[jpg-JPEG]
#tests/test_write.py::test_write__autodetect_driver[jpeg-JPEG]
#tests/test_write.py::test_issue2088[JPEG]
# threads
#tests/test_thread_pool_executor.py::test_threads_main_env
#tests/test_threading.py::test_child_thread_inherits_env
)
mv rasterio{,.bak} || die # Avoid non-working local import
epytest ${deselect[@]/#/--deselect }
mv rasterio{.bak,} || die
}
dev-python/snuggs/Manifest
+3
View File
@@ -0,0 +1,3 @@
DIST snuggs-1.4.7.tar.gz 7762 BLAKE2B fae10c4e6f759219cbecdbea4b8f49001980824fe1d43fba9d5b62837a88183d1ecb6f55e191b637048e03856b1c6466cb17a9c38dfa332537d8968c8510fc25 SHA512 c1f40e521d1b0cf15075b22b04000c74ecbd0522cdd820b8c159aac812924d877349b3f3bca93b09eed5b025a34c26665a41c7a52a8145419558b115cf8ef361
EBUILD snuggs-1.4.7.ebuild 603 BLAKE2B 5f33a3a47380fabbdea0708f16f47afa6a96d9ef3e3f3253f831fbff444a1bbd29d49287b67e70199247f00600da3b5238060d0046dc9d7b9c7d0c7803cb9e6a SHA512 3a9ca3ac8c977fb4917f8972748237083622ff0af71a9303c036589880ce0b1e744b260d5db8ffe2e68aee6a2c79645e21624583e7c093ba86780732933713fa
MISC metadata.xml 646 BLAKE2B 900fd067f2df4fcb89c6ed9fb25b9fa790f2f7885564bf75a97d3913eea50e2c3e3a5a0a21af25ad73ecfad2c8193a3233b3c02b5d1f7306203ea5135239cc0d SHA512 344a1a0b286e341768a72d931d047d0dc63fc752c4fe628acca7f89ae1c7c2c22a0f492abf8e28521838f55bf073980d1a531e4121531dfefb16f0b799883fd0
dev-python/snuggs/metadata.xml
+17
View File
@@ -0,0 +1,17 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
Snuggs library parses S-expressions using numpy. Available function
include arithmetic and logical operators. Also members of the numpy
module such as "asarray()", "mean()" and "where" are available.
</longdescription>
<upstream>
<remote-id type="github">mapbox/snuggs</remote-id>
<remote-id type="pypi">snuggs</remote-id>
</upstream>
</pkgmetadata>
dev-python/snuggs/snuggs-1.4.7.ebuild
+26
View File
@@ -0,0 +1,26 @@
# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{8..10} )
DISTUTILS_USE_PEP517="setuptools"
inherit distutils-r1
DESCRIPTION="S-expressions for numpy"
HOMEPAGE="https://github.com/mapbox/snuggs"
SRC_URI="https://github.com/mapbox/${PN}/archive/refs/tags/${PV}.tar.gz -> ${P}.tar.gz"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64 ~x86"
RDEPEND="
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/pyparsing[${PYTHON_USEDEP}]
"
BDEPEND="
test? ( dev-python/hypothesis[${PYTHON_USEDEP}] )
"
distutils_enable_tests pytest
dev-python/vispy/Manifest
+11
View File
@@ -0,0 +1,11 @@
AUX vispy-0.12.0-use-local-demo-data.patch 7304 BLAKE2B d35e9b7a919f10eb558c44e28b8ad6204a9e8eb9a43eaa70e097a3f30149bf38a2d9c71f9ac03336d24e1950430c931a8df220c57c23b1656eb850f29a08148b SHA512 7d0f7bf0f6471071ff091bee24f2fb9881119e926206d28f5a16d67ac556e61a34727769e7e0fedb488596fe2cc6776f434de335f77bfb6ec7e813eb8b12f82d
DIST vispy-0.12.1.tar.gz 2461071 BLAKE2B 78198a1ced391e9b9f8c2f1cbfcd857276f33eba6575455672fd4caed420164dc66750313c9c0afd40c7217a3c513fb22b7d650068c7c2079d28a0de1163722d SHA512 e3988a843a7ce0c74a4d792c7ec848140f621b0db0ebc5d754ee016bc600b2e8ca33606a7463e2e61ed624c51952cd8745182f60a25928f6838fe27b67717b89
DIST vispy-20190506-d-crate.npz 77690 BLAKE2B e7335331551ca263df9d266bd7f333d42ab31af5bf1472613e8f4b91c8f511d6bf260e8e6995523b3349d993ebdb12620a54aaa80669d120bb3c5acd0323de24 SHA512 fed07482ef2ce2471fee1f7d82ec8b07610b42749d913051c98b6b018853fe8536831f6685586731d122175a33621c81cb55faed3ed689e4d34821df85b79961
DIST vispy-20190506-d-mona_lisa_sm.png 837399 BLAKE2B 1053de94a98fdfea51fd40bc27d550030e7da27605db517283cc3394323daa03f25d9b7c7d1e08032065f9ff6eae34db892f54601eb45f4efcd38b5279b92aa7 SHA512 91c09bafb5f87849b17fffe99736eb905a6778ad1fcfb29548149ad45f952a75668bec019dfc0b67989fed85bbf8c79ca9832bb4386b1082bc41f55e1e08d924
DIST vispy-20190506-d-mri.npz 4074541 BLAKE2B 3e561213b34cff7e69e2606352f25c58ed3f9cb3158255826fdc54fd6ed71d607ce730547c03042c4668f99ae424348e1500cc42fb1d425f6b91d7f3f0d691a8 SHA512 d31eea95908429250f609fff56a4d6a5650117e5c868e99b3d087c12d098d238305d7bee31ebe2fb37dbbcd6cd347892a0421785c65801d46fc6bae79570972a
DIST vispy-20190506-d-spot.obj.gz 108255 BLAKE2B 15ef6bd58fa1bc29414ca51cc4563ab4be73ccf961b253ae7afbaf3210fd432e968220f86e58672f92cef2ed525300fb0ff0365eb0c9597d684d7650bf218398 SHA512 c354258c48ca5a7fa2f0838a977cc46cc65f5a6b9c36ad70f16e992bac44ced1c1ea3c2a1fc61103288717b8b851e0f4a830bfaa904d1c806d2922c1c8c0894e
DIST vispy-20190506-d-spot.png 78699 BLAKE2B 8188da450812f6f2457685915e7183c740cd6f0ce765122205eb85409c2645d18fd6be5236cb6d072a81e7674ebcbd3daa7efcbf1db7936ffabc021e10ef3dba SHA512 0a548d57a35c93cc95109111a4edeea8042f7e5b264a2ff10bf2610ed0d39a4f4c48e8d4e15ff9c663db9162d119044236309eb9679a9291790372872a7a4a06
DIST vispy-20190506-d-stent.npz 824612 BLAKE2B 47d93e7f66937a39c17e8b4491977c072f35e0d459eb304c1dc0115345415a439c5bff92252d43452e98ad74c5cef16e80077b8aa826aa4cd50aea1b0f388f8d SHA512 00ba59177f5dd20687c56f549b3f24b312971202f9d641b54d33e5a1eb98f6a9635b5d17e89c00062755f669d1fa5a14fa88474f35bce7a7fea011f16e7b2fa9
DIST vispy-20190506-d-triceratops.obj.gz 143970 BLAKE2B 932f7b655f6d200174f5081d66453bb2c36d6a97600b91e863f5172c4765bcc95c2b7e7e3c58a95735d6228096533c37f494b4b047d718f9d35d3a83fc269cc8 SHA512 6f2236e7f2c96b2055f60355979d766847b0b9c44f6a2a931a0bae4e56f50328260a54cc34c5bbf506f3c162684c581d54d67ec8389964c62645a2f3e721f0f0
EBUILD vispy-0.12.1.ebuild 3811 BLAKE2B 5c86a4683dba59f52da8c66caa05c9ffa86148a4ef996aca43d7cc31b375d343a88d5bb2b596eb4690a047423bd10f98d0057f6964d56c6b422295644d9503b4 SHA512 166cd04aa3d07601bb27528e8f5d014ab554e54bffea113f639de9d9da9373010536f65acd8531cc3459a259ca0668269b064e577b28b89d3ba9556c9da83c93
MISC metadata.xml 1456 BLAKE2B fc50e63b861486204d61e43f30da8482b9ed93aeaed63db6138f91e514b20c0253a3ecb0ae5a1fa91b4880efbce659403cd4f0022277c6cabba147ac0f799606 SHA512 e6b44279855e4f127e46a8953bc9a74b60f6a706a49f584de1a12e56f8d2994b5f8c13e36aeaa1dc7e713ae2299ef91a4e39c9c03325d3bb4bb3abd38c58c873
dev-python/vispy/files/vispy-0.12.0-use-local-demo-data.patch
+180
View File
@@ -0,0 +1,180 @@
--- a/examples/plotting/volume_plot.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/plotting/volume_plot.py 2022-07-26 20:45:34.932699691 +0800
@@ -15,7 +15,8 @@
fig = vp.Fig(bgcolor='k', size=(800, 800), show=False)
-vol_data = np.load(io.load_data_file('brain/mri.npz'))['data']
+try: vol_data = np.load(io.load_data_file('brain/mri.npz'))['data']
+except Exception: vol_data = np.load('mri.npz')['data']
vol_data = np.flipud(np.rollaxis(vol_data, 1))
vol_data = vol_data.astype(np.float32)
--- a/examples/scene/clipping_planes.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/clipping_planes.py 2022-07-26 19:36:08.699950700 +0800
@@ -24,7 +24,8 @@
view = canvas.central_widget.add_view()
# Create the visuals
-vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+try: vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol = np.load('stent.npz')['arr_0']
volume = scene.visuals.Volume(vol, parent=view.scene, threshold=0.225)
np.random.seed(1)
--- a/examples/scene/contour.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/contour.py 2022-07-26 14:56:04.667132876 +0800
@@ -24,7 +24,8 @@
view = canvas.central_widget.add_view()
interpolation = 'cubic'
-img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+try: img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+except Exception: img_data = read_png('mona_lisa_sm.png')
image = scene.visuals.Image(img_data, interpolation=interpolation,
parent=view.scene, method='impostor')
level = 10
--- a/examples/scene/flipped_axis.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/flipped_axis.py 2022-07-26 19:37:26.926953177 +0800
@@ -27,7 +27,8 @@
from vispy import app, scene, io
# Read volume
-vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+try: vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol1 = np.load('stent.npz')['arr_0']
# Prepare canvas
canvas = scene.SceneCanvas(keys='interactive', size=(800, 600), show=True)
--- a/examples/scene/image_custom_kernel.py 2022-11-08 17:13:28.000000000 +0800
+++ b/examples/scene/image_custom_kernel.py 2022-11-11 18:48:20.187045450 +0800
@@ -32,10 +32,14 @@
view = canvas.central_widget.add_view()
# Load the image with a slight blur (so we can later show the sharpening filter)
-img_data = gaussian_filter(
- read_png(load_data_file('mona_lisa/mona_lisa_sm.png')),
- sigma=1,
-)
+try: img_data = gaussian_filter(
+ read_png(load_data_file('mona_lisa/mona_lisa_sm.png')),
+ sigma=1,
+ )
+except Exception: img_data = gaussian_filter(
+ read_png('mona_lisa_sm.png'),
+ sigma=1,
+ )
# build gaussian kernel
small_gaussian_window = gaussian(5, 1)
--- a/examples/scene/image.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/image.py 2022-07-26 19:28:07.967807623 +0800
@@ -25,7 +25,8 @@
view = canvas.central_widget.add_view()
# Create the image
-img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+try: img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+except Exception: img_data = read_png('mona_lisa_sm.png')
interpolation = 'nearest'
image = scene.visuals.Image(img_data, interpolation=interpolation,
--- a/examples/scene/mesh_normals.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/mesh_normals.py 2022-07-26 19:44:23.872044303 +0800
@@ -17,7 +17,8 @@
from vispy.visuals.filters import WireframeFilter
-mesh_file = load_data_file('orig/triceratops.obj.gz')
+try: mesh_file = load_data_file('orig/triceratops.obj.gz')
+except Exception: mesh_file = 'triceratops.obj.gz'
vertices, faces, _, _ = read_mesh(mesh_file)
mesh = Mesh(vertices, faces, shading='flat')
--- a/examples/scene/mesh_shading.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/mesh_shading.py 2022-07-26 19:50:49.250307944 +0800
@@ -21,7 +21,8 @@
parser = argparse.ArgumentParser()
-default_mesh = load_data_file('orig/triceratops.obj.gz')
+try: default_mesh = load_data_file('orig/triceratops.obj.gz')
+except Exception: default_mesh = 'triceratops.obj.gz'
parser.add_argument('--mesh', default=default_mesh)
parser.add_argument('--shininess', default=100)
parser.add_argument('--wireframe-width', default=1)
--- a/examples/scene/mesh_texture.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/mesh_texture.py 2022-07-26 19:30:50.795219791 +0800
@@ -27,8 +27,10 @@
help="shading mode")
args, _ = parser.parse_known_args()
-mesh_path = load_data_file('spot/spot.obj.gz')
-texture_path = load_data_file('spot/spot.png')
+try: mesh_path = load_data_file('spot/spot.obj.gz')
+except Exception: mesh_path = 'spot.obj.gz'
+try: texture_path = load_data_file('spot/spot.png')
+except Exception: texture_path = 'spot.png'
vertices, faces, normals, texcoords = read_mesh(mesh_path)
texture = np.flipud(imread(texture_path))
--- a/examples/scene/one_cam_two_scenes.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/one_cam_two_scenes.py 2022-07-26 20:29:47.386543725 +0800
@@ -31,7 +31,8 @@
grid.add_widget(vb2, 0, 1)
# Create the image
-im1 = io.load_crate().astype('float32') / 255
+try: im1 = io.load_crate().astype('float32') / 255
+except Exception: im1 = np.load('crate.npz')['crate'].astype('float32') / 255
# Make gray, smooth, and take derivatives: edge enhancement
im2 = im1[:, :, 1]
im2 = (im2[1:-1, 1:-1] + im2[0:-2, 1:-1] + im2[2:, 1:-1] +
--- a/examples/scene/one_scene_four_cams.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/one_scene_four_cams.py 2022-07-26 20:31:14.493566153 +0800
@@ -20,6 +20,8 @@
import sys
+import numpy as np
+
from vispy import app, scene, io
canvas = scene.SceneCanvas(keys='interactive')
@@ -42,7 +44,8 @@
grid.add_widget(vb4, 1, 1)
# Create some visuals to show
-im1 = io.load_crate().astype('float32') / 255
+try: im1 = io.load_crate().astype('float32') / 255
+except Exception: im1 = np.load('crate.npz')['crate'].astype('float32') / 255
for par in scenes:
image = scene.visuals.Image(im1, grid=(20, 20), parent=par)
--- a/examples/scene/volume_plane.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/volume_plane.py 2022-07-26 20:30:56.050157494 +0800
@@ -25,7 +25,8 @@
from vispy.visuals.transforms import STTransform
# Read volume
-vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+try: vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol = np.load('stent.npz')['arr_0']
# Prepare canvas
canvas = scene.SceneCanvas(keys='interactive', show=True)
--- a/examples/scene/volume.py 2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/volume.py 2022-07-26 20:22:35.644780291 +0800
@@ -39,8 +39,10 @@
from vispy.visuals.transforms import STTransform
# Read volume
-vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
-vol2 = np.load(io.load_data_file('brain/mri.npz'))['data']
+try: vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol1 = np.load('stent.npz')['arr_0']
+try: vol2 = np.load(io.load_data_file('brain/mri.npz'))['data']
+except Exception: vol2 = np.load('mri.npz')['data']
vol2 = np.flipud(np.rollaxis(vol2, 1))
# Prepare canvas
dev-python/vispy/metadata.xml
+28
View File
@@ -0,0 +1,28 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<email>universebenzene@sina.com</email>
<name>Astro Benzene</name>
</maintainer>
<longdescription lang="en">
VisPy is a high-performance interactive 2D/3D data visualization library.
VisPy leverages the computational power of modern Graphics Processing Units (GPUs)
through the OpenGL library to display very large datasets.
</longdescription>
<upstream>
<remote-id type="pypi">vispy</remote-id>
<remote-id type="github">vispy/vispy</remote-id>
</upstream>
<use>
<flag name="io">Extra io support</flag>
<flag name="ipython-static">ipython-static support via <pkg>dev-python/ipython</pkg></flag>
<flag name="pyglet">Enable support for pyglet backend via <pkg>dev-python/pyglet</pkg></flag>
<flag name="pyqt5">Enable support for pyqt5 backend via <pkg>dev-python/PyQt5</pkg></flag>
<flag name="pyqt6">Enable support for pyqt6 backend via <pkg>dev-python/PyQt6</pkg></flag>
<flag name="pyside2">Enable support for pyside2 backend via <pkg>dev-python/pyside2</pkg></flag>
<flag name="pyside6">Enable support for pyside6 backend via <pkg>dev-python/pyside6</pkg></flag>
<flag name="sdl2">Enable support for sdl backend via <pkg>dev-python/PySDL2</pkg></flag>
<flag name="wx">Enable support for wx backend via <pkg>dev-python/wxpython</pkg></flag>
</use>
</pkgmetadata>
dev-python/vispy/vispy-0.12.1.ebuild
+113
View File
@@ -0,0 +1,113 @@
# Copyright 2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{8..10} )
DATA_COM="5a3db8447d3e13ed402545662f20f5ff191a6d42"
DATA_DATE="20190506"
inherit distutils-r1 virtualx xdg-utils
DESCRIPTION="Interactive visualization in Python"
HOMEPAGE="http://vispy.org"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz
doc? (
https://github.com/vispy/demo-data/raw/${DATA_COM}/mona_lisa/mona_lisa_sm.png -> ${PN}-${DATA_DATE}-d-mona_lisa_sm.png
https://github.com/vispy/demo-data/raw/${DATA_COM}/spot/spot.obj.gz -> ${PN}-${DATA_DATE}-d-spot.obj.gz
https://github.com/vispy/demo-data/raw/${DATA_COM}/spot/spot.png -> ${PN}-${DATA_DATE}-d-spot.png
https://github.com/vispy/demo-data/raw/${DATA_COM}/volume/stent.npz -> ${PN}-${DATA_DATE}-d-stent.npz
https://github.com/vispy/demo-data/raw/${DATA_COM}/orig/triceratops.obj.gz -> ${PN}-${DATA_DATE}-d-triceratops.obj.gz
https://github.com/vispy/demo-data/raw/${DATA_COM}/orig/crate.npz -> ${PN}-${DATA_DATE}-d-crate.npz
https://github.com/vispy/demo-data/raw/${DATA_COM}/brain/mri.npz -> ${PN}-${DATA_DATE}-d-mri.npz
)
"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64" # no x86 KEYWORD for meshio PyQt6 pyside6
IUSE="examples io ipython-static pyglet +pyqt5 pyqt6 pyside2 pyside6 sdl2 wx"
PROPERTIES="test_network"
RESTRICT="test"
REQUIRED_USE="|| ( pyglet pyqt5 pyqt6 pyside2 pyside6 sdl2 wx )"
DEPEND="dev-python/numpy[${PYTHON_USEDEP}]"
RDEPEND="${DEPEND}
dev-python/freetype-py[${PYTHON_USEDEP}]
dev-python/hsluv[${PYTHON_USEDEP}]
dev-python/kiwisolver[${PYTHON_USEDEP}]
dev-python/packaging[${PYTHON_USEDEP}]
io? (
dev-python/meshio[${PYTHON_USEDEP}]
dev-python/pillow[${PYTHON_USEDEP}]
)
ipython-static? ( dev-python/ipython[${PYTHON_USEDEP}] )
pyglet? ( >=dev-python/pyglet-1.2[${PYTHON_USEDEP}] )
pyqt5? ( dev-python/PyQt5[${PYTHON_USEDEP},gui,testlib,widgets] )
pyqt6? ( dev-python/PyQt6[${PYTHON_USEDEP},gui,testlib,widgets] )
pyside2? ( dev-python/pyside2[${PYTHON_USEDEP},gui,testlib,widgets] )
pyside6? ( dev-python/pyside6[${PYTHON_USEDEP},gui,testlib,widgets] )
sdl2? ( dev-python/PySDL2[${PYTHON_USEDEP}] )
wx? ( dev-python/wxpython[${PYTHON_USEDEP}] )
"
BDEPEND="dev-python/setuptools_scm_git_archive[${PYTHON_USEDEP}]
>=dev-python/cython-0.29.2[${PYTHON_USEDEP}]
doc? (
media-libs/fontconfig
virtual/opengl
)
test? (
dev-python/imageio[${PYTHON_USEDEP}]
dev-python/meshio[${PYTHON_USEDEP}]
dev-python/networkx[${PYTHON_USEDEP}]
dev-python/numpydoc[${PYTHON_USEDEP}]
dev-python/pyopengl[${PYTHON_USEDEP}]
dev-python/sphinx-gallery[${PYTHON_USEDEP}]
media-libs/fontconfig
virtual/opengl
)
"
distutils_enable_tests pytest
# QThread: Destroyed while thread is still running
distutils_enable_sphinx doc dev-python/sphinx-gallery \
dev-python/sphinxcontrib-apidoc \
dev-python/pydata-sphinx-theme \
dev-python/imageio \
dev-python/myst_parser \
dev-python/networkx \
dev-python/numpydoc \
dev-python/pyopengl \
dev-python/pytest
python_prepare_all() {
use doc && { eapply "${FILESDIR}"/${PN}-0.12.0-use-local-demo-data.patch ; \
for dat in "${DISTDIR}"/*-d-*; do { cp ${dat} "${S}"/examples/scene/${dat##*-d-} || die ; } ; done ; \
cp {"${DISTDIR}"/${PN}-${DATA_DATE}-d-,"${S}"/examples/plotting/}mri.npz || die ; }
xdg_environment_reset
distutils-r1_python_prepare_all
}
python_compile_all() {
if use doc; then
cp "${BUILD_DIR}"/install/$(python_get_sitedir)/${PN}/visuals/text/*.cpython*so ${PN}/visuals/text || die
virtx sphinx_compile_all
fi
}
python_install_all() {
if use examples; then
docompress -x "/usr/share/doc/${PF}/examples"
docinto examples
dodoc -r examples/.
fi
distutils-r1_python_install_all
}
python_test() {
virtx epytest "${BUILD_DIR}"
}