Gentoo Archives: gentoo-commits

From: Justin Lecher <jlec@g.o>
To: gentoo-commits@l.g.o
Subject: [gentoo-commits] repo/gentoo:master commit in: dev-python/pandas/
Date: Sun, 04 Jun 2017 11:49:55
Message-Id: 1496576990.33dfb15195aa23c778feac59c5112ffc1f2320c2.jlec@gentoo
1 commit: 33dfb15195aa23c778feac59c5112ffc1f2320c2
2 Author: Justin Lecher <jlec <AT> gentoo <DOT> org>
3 AuthorDate: Sun Jun 4 11:49:28 2017 +0000
4 Commit: Justin Lecher <jlec <AT> gentoo <DOT> org>
5 CommitDate: Sun Jun 4 11:49:50 2017 +0000
6 URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=33dfb151
7
8 dev-python/pandas: Version Bump
9
10 Gentoo-Bug: https://bugs.gentoo.org/show_bug.cgi?id=620290
11 Package-Manager: Portage-2.3.6, Repoman-2.3.2
12 Signed-off-by: Justin Lecher <jlec <AT> gentoo.org>
13
14 dev-python/pandas/Manifest | 1 +
15 dev-python/pandas/pandas-0.20.1.ebuild | 162 +++++++++++++++++++++++++++++++++
16 2 files changed, 163 insertions(+)
17
18 diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
19 index c7d4b01cb04..80b1bf9ae5b 100644
20 --- a/dev-python/pandas/Manifest
21 +++ b/dev-python/pandas/Manifest
22 @@ -2,3 +2,4 @@ DIST pandas-0.16.2.tar.gz 4931751 SHA256 e01853dfe111f3aea005315573400b7216ddbab
23 DIST pandas-0.17.0.tar.gz 6508621 SHA256 320d4fdf734b82adebc8fde9d8ca4b05fe155a72b6f7aa95d76242da8748d6a4 SHA512 bae6964e263c7ff6cac722cdfe23081f23c357d9bc39a670b5627bef4630c236a58aa8c0393eae921721bf7049c8e5266b4dea71dd957da5d89dafc14a04797b WHIRLPOOL d654eb2f9ffbfedbde60e4a6e6ce6f54650a8a68b4d20035744aa55111525d6bba4dae2ccbfce65acf71bb200e2e6029c7f6c9bcc9d0c582d808444738baedb1
24 DIST pandas-0.17.1.tar.gz 6674479 SHA256 cfd7214a7223703fe6999fbe34837749540efee1c985e6aee9933f30e3f72837 SHA512 9d9f9064585b1f3551625e0c8f4eedaaa1253790c2a5cb28e58e70eb805cc18f9770d793aa748cbd76798488ff60efdd01eb4b21daf5ad8f1dc4d9c050487234 WHIRLPOOL 5238575bd64b8d38db4f9a0ea987a7f78ffd1821e5a22bad65c84c407feca3af6f3b536a0a2f337291aa04e94c86fdb40382dad4ce50f8a33a5e26d655c628c2
25 DIST pandas-0.19.1.tar.gz 8360233 SHA256 2509feaeda72fce03675e2eccd2284bb1cadb6a0737008a5e741fe2431d47421 SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f WHIRLPOOL 700c0d819ab62134baf56430b7fa8840636ea377d00397341d33ec5f13474d9eeefea245aede80a80f7c16348ef811788947e5fe0020c9770005c74dd1288ef3
26 +DIST pandas-0.20.1.tar.gz 10307434 SHA256 42707365577ef69f7c9c168ddcf045df2957595a9ee71bc13c7997eecb96b190 SHA512 d477a815914c825efd6430f7eb19f3f9115c1c4ab03000ca6d4f64023f7b5f53eff512792fea2d8b33c7febb3667fc3a3de55f11eeb453f285cae40e6b473707 WHIRLPOOL fca35c7178441e3cfe990740aecba923d8b3d56d70fa7b0285b09305a0d2f7a6ad01bb906d6d92748a038a3841cda783f01f75f93b67f15c53c9854a43819841
27
28 diff --git a/dev-python/pandas/pandas-0.20.1.ebuild b/dev-python/pandas/pandas-0.20.1.ebuild
29 new file mode 100644
30 index 00000000000..3195714ae4b
31 --- /dev/null
32 +++ b/dev-python/pandas/pandas-0.20.1.ebuild
33 @@ -0,0 +1,162 @@
34 +# Copyright 1999-2017 Gentoo Foundation
35 +# Distributed under the terms of the GNU General Public License v2
36 +
37 +EAPI=6
38 +
39 +PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
40 +PYTHON_REQ_USE="threads(+)"
41 +
42 +VIRTUALX_REQUIRED="manual"
43 +
44 +inherit distutils-r1 eutils flag-o-matic virtualx
45 +
46 +DESCRIPTION="Powerful data structures for data analysis and statistics"
47 +HOMEPAGE="http://pandas.pydata.org/"
48 +SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
49 +
50 +SLOT="0"
51 +LICENSE="BSD"
52 +KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
53 +IUSE="doc -minimal full-support test X"
54 +
55 +MINIMAL_DEPEND="
56 + >dev-python/numpy-1.7[${PYTHON_USEDEP}]
57 + >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
58 + dev-python/pytz[${PYTHON_USEDEP}]
59 + !<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
60 + !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
61 +RECOMMENDED_DEPEND="
62 + dev-python/bottleneck[${PYTHON_USEDEP}]
63 + >=dev-python/numexpr-2.1[${PYTHON_USEDEP}]"
64 +OPTIONAL_DEPEND="
65 + dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
66 + dev-python/blosc[${PYTHON_USEDEP}]
67 + dev-python/boto[${PYTHON_USEDEP}]
68 + >=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
69 + || ( dev-python/html5lib[${PYTHON_USEDEP}] dev-python/lxml[${PYTHON_USEDEP}] )
70 + dev-python/httplib2[${PYTHON_USEDEP}]
71 + dev-python/jinja[${PYTHON_USEDEP}]
72 + dev-python/matplotlib[${PYTHON_USEDEP}]
73 + || ( >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] dev-python/xlsxwriter[${PYTHON_USEDEP}] )
74 + >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
75 + dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
76 + dev-python/rpy[${PYTHON_USEDEP}]
77 + dev-python/setuptools[${PYTHON_USEDEP}]
78 + dev-python/statsmodels[${PYTHON_USEDEP}]
79 + >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
80 + dev-python/xlrd[${PYTHON_USEDEP}]
81 + dev-python/xlwt[${PYTHON_USEDEP}]
82 + sci-libs/scipy[${PYTHON_USEDEP}]
83 + X? (
84 + || (
85 + dev-python/PyQt4[${PYTHON_USEDEP}]
86 + dev-python/pyside[${PYTHON_USEDEP}]
87 + dev-python/pygtk[$(python_gen_usedep python2_7)]
88 + )
89 + || (
90 + x11-misc/xclip
91 + x11-misc/xsel
92 + )
93 + )
94 + "
95 +
96 +DEPEND="${MINIMAL_DEPEND}
97 + dev-python/setuptools[${PYTHON_USEDEP}]
98 + >=dev-python/cython-0.23[${PYTHON_USEDEP}]
99 + doc? (
100 + ${VIRTUALX_DEPEND}
101 + dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
102 + dev-python/html5lib[${PYTHON_USEDEP}]
103 + dev-python/ipython[${PYTHON_USEDEP}]
104 + dev-python/lxml[${PYTHON_USEDEP}]
105 + dev-python/matplotlib[${PYTHON_USEDEP}]
106 + >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
107 + >=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
108 + dev-python/pytz[${PYTHON_USEDEP}]
109 + dev-python/rpy[${PYTHON_USEDEP}]
110 + >=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
111 + dev-python/xlrd[${PYTHON_USEDEP}]
112 + dev-python/xlwt[${PYTHON_USEDEP}]
113 + sci-libs/scipy[${PYTHON_USEDEP}]
114 + x11-misc/xclip
115 + )
116 + test? (
117 + ${VIRTUALX_DEPEND}
118 + ${RECOMMENDED_DEPEND}
119 + ${OPTIONAL_DEPEND}
120 + dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
121 + dev-python/nose[${PYTHON_USEDEP}]
122 + dev-python/pymysql[${PYTHON_USEDEP}]
123 + dev-python/psycopg:2[${PYTHON_USEDEP}]
124 + x11-misc/xclip
125 + x11-misc/xsel
126 + )"
127 +# dev-python/statsmodels invokes a circular dep
128 +# hence rm from doc? ( ), again
129 +RDEPEND="
130 + ${MINIMAL_DEPEND}
131 + !minimal? ( ${RECOMMENDED_DEPEND} )
132 + full-support? ( ${OPTIONAL_DEPEND} )"
133 +
134 +python_prepare_all() {
135 + # Prevent un-needed download during build
136 + sed \
137 + -e "/^ 'sphinx.ext.intersphinx',/d" \
138 + -i doc/source/conf.py || die
139 +
140 + # https://github.com/pydata/pandas/issues/11299
141 + sed \
142 + -e 's:testOdArray:disable:g' \
143 + -i pandas/tests/io/json/test_ujson.py || die
144 +
145 + distutils-r1_python_prepare_all
146 +}
147 +
148 +python_compile_all() {
149 + # To build docs the need be located in $BUILD_DIR,
150 + # else PYTHONPATH points to unusable modules.
151 + if use doc; then
152 + cd "${BUILD_DIR}"/lib || die
153 + cp -ar "${S}"/doc . && cd doc || die
154 + LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html || die
155 + fi
156 +}
157 +
158 +python_test() {
159 + local test_pandas='not network and not disabled'
160 + [[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow'
161 + pushd "${BUILD_DIR}"/lib > /dev/null
162 + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
163 + PYTHONPATH=. MPLCONFIGDIR=. \
164 + virtx nosetests --verbosity=3 -A "${test_pandas}" pandas
165 + popd > /dev/null
166 +}
167 +
168 +python_install_all() {
169 + if use doc; then
170 + dodoc -r "${BUILD_DIR}"/lib/doc/build/html
171 + einfo "An initial build of docs is absent of references to statsmodels"
172 + einfo "due to circular dependency. To have them included, emerge"
173 + einfo "statsmodels next and re-emerge pandas with USE doc"
174 + fi
175 +
176 + distutils-r1_python_install_all
177 +}
178 +
179 +pkg_postinst() {
180 + optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
181 + optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" >=dev-python/numexpr-2.1
182 + optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml
183 + optfeature "for msgpack compression using ``blosc``" dev-python/blosc
184 + optfeature "necessary for Amazon S3 access" dev-python/boto
185 + optfeature "needed for pandas.io.gbq" dev-python/httplib2 dev-python/setuptools dev-python/python-gflags >=dev-python/google-api-python-client-1.2.0
186 + optfeature "Template engine for conditional HTML formatting" dev-python/jinja
187 + optfeature "Plotting support" dev-python/matplotlib
188 + optfeature "Needed for Excel I/O" >=dev-python/openpyxl-1.6.1 dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
189 + optfeature "necessary for HDF5-based storage" >=dev-python/pytables-3.2.1
190 + optfeature "R I/O support" dev-python/rpy
191 + optfeature "Needed for parts of :mod:`pandas.stats`" dev-python/statsmodels
192 + optfeature "SQL database support" >=dev-python/sqlalchemy-0.8.1
193 + optfeature "miscellaneous statistical functions" sci-libs/scipy
194 + optfeature "necessary to use ~pandas.io.clipboard.read_clipboard support" dev-python/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
195 +}