From 8376ef56580626e9c0f796d5b85b53a0a1c7d5f5 Mon Sep 17 00:00:00 2001 From: V3n3RiX Date: Sat, 14 Jul 2018 21:03:06 +0100 Subject: gentoo resync : 14.07.2018 --- dev-python/pandas/Manifest | 8 + dev-python/pandas/files/pandas-0.19.1-gapi.patch | 27 ++ dev-python/pandas/files/pandas-0.19.1-seqf.patch | 357 +++++++++++++++++++++++ dev-python/pandas/metadata.xml | 22 ++ dev-python/pandas/pandas-0.19.1.ebuild | 165 +++++++++++ dev-python/pandas/pandas-0.23.0.ebuild | 172 +++++++++++ dev-python/pandas/pandas-9999.ebuild | 171 +++++++++++ 7 files changed, 922 insertions(+) create mode 100644 dev-python/pandas/Manifest create mode 100644 dev-python/pandas/files/pandas-0.19.1-gapi.patch create mode 100644 dev-python/pandas/files/pandas-0.19.1-seqf.patch create mode 100644 dev-python/pandas/metadata.xml create mode 100644 dev-python/pandas/pandas-0.19.1.ebuild create mode 100644 dev-python/pandas/pandas-0.23.0.ebuild create mode 100644 dev-python/pandas/pandas-9999.ebuild (limited to 'dev-python/pandas') diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest new file mode 100644 index 000000000000..95f829519364 --- /dev/null +++ b/dev-python/pandas/Manifest @@ -0,0 +1,8 @@ +AUX pandas-0.19.1-gapi.patch 799 BLAKE2B 801d356d51de63091c6167677957349c3334105786a220252a6fad50e0242a67106fdb321f402e7d99b65c0ab8a0c5d312b98757100bef7cc02f7f43bc50fab9 SHA512 b1a4e7c5f480efadfaf70caaa3293cb3f16ebf36c4705597a22ecc06de7e5b2379ddb4061279d669d2c66d3ef149a74f300ec1127bd441ad1b9288cb9233c781 +AUX pandas-0.19.1-seqf.patch 14381 BLAKE2B 8acb677579d429a7d82712477f8e8202561198938f56cc08c38dc3766a695a69fd3d25a25c4fa165c3f3d02a16a46acea092194e3e71f23ec22a8b2aca5f1e13 SHA512 b5675c89e087d47b94cfb036047b396d5a94b74bc03e95c92d5152bfc5598feddba88a781b6a11e533c46ba638aa50f0814d383c20d95f4e091deaee480b6d3e +DIST pandas-0.19.1.tar.gz 8360233 BLAKE2B 82611ca1a3e3169ac2d084f4dcd9c4d4d74e9e9c9913a41acad48ae68a208a884dfd877445a7d658a7ff098ef383cedae7e79a4900baa8d56c032ce9aaad96eb SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f +DIST pandas-0.23.0.tar.gz 13092442 BLAKE2B e11ae088c9a4be481f516d83797b1b1d5e9c82f7d9fa98f1ea65e3405e33c99e1e1cf7a35f56a21d9dc922c1d0828b4947d9c6189a5f76ad5c1b28618293f9da SHA512 c9dc7bf843e3392b8b1b4d46c6aa6dd12435aa974abc875574a7a8794abe6ea531fa92d8a635153839fd3fef9059d96a4512831b86b1fb6fb69588c8b29a95d6 +EBUILD pandas-0.19.1.ebuild 5913 BLAKE2B 994e9ea3397d2dacb0a01ad17c8285cae39a898c5615b42598f0a85745a74b4c01a2968da343a969160f18658fdae8cc6e6f0288f7254189d6233a4e16b21923 SHA512 6e88582440d02ad3adf338692082ff671c0c4f93f56adb029abfa5dea7210de30308371f990e4b2bbcdfbd510040e40c18a373123a862099d779993f81dda714 +EBUILD pandas-0.23.0.ebuild 5907 BLAKE2B 552a809a85a1ec3842c5e3ef7da41c32b07818f11a00121eed4fe4ff3131d8e90a3f56dba4f2f546fa226e23f29da8d3827bb17f676caf654b7c1293de294226 SHA512 e1b4cce520baea14cfaf7c46e7f4ac881b6871133b13c50828ed946482b4d4f3fca688db4508007a108fd7f94997f384f6ca14eb53667e9f28e697e8d8aba94e +EBUILD pandas-9999.ebuild 5864 BLAKE2B 23df5dc740f518ce7c82cda5d351b248f8d8e0983b937be43200f2a2f5bc6d48ea71234203fc6776f94a9460dc6e6340dbfa0248b64205eb2792a7b633ee58a3 SHA512 80c4d885b9dc3872b3da9a9daa9f18e2e1b226d249b23eb2d8b3b3161458648ebd77a2c3b17d25e58d2f278d9a9fc2372a62b946acf24bdc441da882067fee67 +MISC metadata.xml 834 BLAKE2B b075b9c90c4f1be265117df2c47ace4c86dad3fec9945b5a483a11048211348ee10e433f378610de4a9b599031914b32992b9fad693b832cf0266b0f171b3e38 SHA512 85ad67a653f4ced5fb9331b778fb2906c253874cf8e522f1b67547ef8e2f49e084e84d9e055aee7e2a57c6e6e4e7f7791a4ce299fac7c74dd6448a94977e8f5e diff --git a/dev-python/pandas/files/pandas-0.19.1-gapi.patch b/dev-python/pandas/files/pandas-0.19.1-gapi.patch new file mode 100644 index 000000000000..7a0456fdacfc --- /dev/null +++ b/dev-python/pandas/files/pandas-0.19.1-gapi.patch @@ -0,0 +1,27 @@ +From 1d6dbb41b26a39121ec8c4f19f5da78bb0ab4af7 Mon Sep 17 00:00:00 2001 +From: Jeff Reback +Date: Sat, 12 Nov 2016 12:44:06 -0500 +Subject: [PATCH] TST: skip test_gbq.test_upload_data_if_table_exists_replace + for now + +--- + pandas/io/tests/test_gbq.py | 3 +++ + 1 file changed, 3 insertions(+) + +diff --git a/pandas/io/tests/test_gbq.py b/pandas/io/tests/test_gbq.py +index cca1580b8..f6ff35a6d 100644 +--- a/pandas/io/tests/test_gbq.py ++++ b/pandas/io/tests/test_gbq.py +@@ -824,6 +824,9 @@ class TestToGBQIntegration(tm.TestCase): + private_key=_get_private_key_path()) + + def test_upload_data_if_table_exists_replace(self): ++ ++ raise nose.SkipTest("buggy test") ++ + destination_table = DESTINATION_TABLE + "4" + + test_size = 10 +-- +2.11.0 + diff --git a/dev-python/pandas/files/pandas-0.19.1-seqf.patch b/dev-python/pandas/files/pandas-0.19.1-seqf.patch new file mode 100644 index 000000000000..c82c14ff8fdd --- /dev/null +++ b/dev-python/pandas/files/pandas-0.19.1-seqf.patch @@ -0,0 +1,357 @@ +From f8bd08e9c2fc6365980f41b846bbae4b40f08b83 Mon Sep 17 00:00:00 2001 +From: Jeff Reback +Date: Sat, 12 Nov 2016 10:58:54 -0500 +Subject: [PATCH] BUG: segfault manifesting with dateutil=2.6 w.r.t. replace + when timezones are present + +closes #14621 + +Author: Jeff Reback + +Closes #14631 from jreback/replace and squashes the following commits: + +3f95042 [Jeff Reback] BUG: segfault manifesting with dateutil=2.6 w.r.t. replace when timezones are present +--- + ci/requirements-3.5_OSX.pip | 2 +- + doc/source/whatsnew/v0.19.2.txt | 3 ++ + pandas/tseries/offsets.py | 1 + + pandas/tseries/tests/test_offsets.py | 20 ++++--- + pandas/tseries/tests/test_timezones.py | 89 +++++++++++++++++++++++++++++-- + pandas/tseries/tests/test_tslib.py | 5 +- + pandas/tslib.pyx | 95 ++++++++++++++++++++++++++++------ + 7 files changed, 188 insertions(+), 27 deletions(-) + +diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py +index 051cc8aa4..2e3852a7e 100644 +--- a/pandas/tseries/offsets.py ++++ b/pandas/tseries/offsets.py +@@ -68,6 +68,7 @@ def apply_wraps(func): + other = other.tz_localize(None) + + result = func(self, other) ++ + if self._adjust_dst: + result = tslib._localize_pydatetime(result, tz) + +diff --git a/pandas/tseries/tests/test_offsets.py b/pandas/tseries/tests/test_offsets.py +index 1735ac4e2..768e9212e 100644 +--- a/pandas/tseries/tests/test_offsets.py ++++ b/pandas/tseries/tests/test_offsets.py +@@ -1,4 +1,5 @@ + import os ++from distutils.version import LooseVersion + from datetime import date, datetime, timedelta + from dateutil.relativedelta import relativedelta + from pandas.compat import range, iteritems +@@ -4851,6 +4852,7 @@ class TestDST(tm.TestCase): + + def _test_offset(self, offset_name, offset_n, tstart, expected_utc_offset): + offset = DateOffset(**{offset_name: offset_n}) ++ + t = tstart + offset + if expected_utc_offset is not None: + self.assertTrue(get_utc_offset_hours(t) == expected_utc_offset) +@@ -4890,17 +4892,23 @@ class TestDST(tm.TestCase): + return Timestamp(string + offset_string).tz_convert(tz) + + def test_fallback_plural(self): +- """test moving from daylight savings to standard time""" ++ # test moving from daylight savings to standard time ++ import dateutil + for tz, utc_offsets in self.timezone_utc_offsets.items(): + hrs_pre = utc_offsets['utc_offset_daylight'] + hrs_post = utc_offsets['utc_offset_standard'] +- self._test_all_offsets( +- n=3, tstart=self._make_timestamp(self.ts_pre_fallback, +- hrs_pre, tz), +- expected_utc_offset=hrs_post) ++ ++ if dateutil.__version__ != LooseVersion('2.6.0'): ++ # buggy ambiguous behavior in 2.6.0 ++ # GH 14621 ++ # https://github.com/dateutil/dateutil/issues/321 ++ self._test_all_offsets( ++ n=3, tstart=self._make_timestamp(self.ts_pre_fallback, ++ hrs_pre, tz), ++ expected_utc_offset=hrs_post) + + def test_springforward_plural(self): +- """test moving from standard to daylight savings""" ++ # test moving from standard to daylight savings + for tz, utc_offsets in self.timezone_utc_offsets.items(): + hrs_pre = utc_offsets['utc_offset_standard'] + hrs_post = utc_offsets['utc_offset_daylight'] +diff --git a/pandas/tseries/tests/test_timezones.py b/pandas/tseries/tests/test_timezones.py +index 00e8ee631..db8cda5c7 100644 +--- a/pandas/tseries/tests/test_timezones.py ++++ b/pandas/tseries/tests/test_timezones.py +@@ -4,7 +4,7 @@ import nose + + import numpy as np + import pytz +- ++from distutils.version import LooseVersion + from pandas.types.dtypes import DatetimeTZDtype + from pandas import (Index, Series, DataFrame, isnull, Timestamp) + +@@ -518,8 +518,12 @@ class TestTimeZoneSupportPytz(tm.TestCase): + + times = date_range("2013-10-26 23:00", "2013-10-27 01:00", freq="H", + tz=tz, ambiguous='infer') +- self.assertEqual(times[0], Timestamp('2013-10-26 23:00', tz=tz)) +- self.assertEqual(times[-1], Timestamp('2013-10-27 01:00', tz=tz)) ++ self.assertEqual(times[0], Timestamp('2013-10-26 23:00', tz=tz, ++ freq="H")) ++ if dateutil.__version__ != LooseVersion('2.6.0'): ++ # GH 14621 ++ self.assertEqual(times[-1], Timestamp('2013-10-27 01:00', tz=tz, ++ freq="H")) + + def test_ambiguous_nat(self): + tz = self.tz('US/Eastern') +@@ -1163,6 +1167,85 @@ class TestTimeZones(tm.TestCase): + def setUp(self): + tm._skip_if_no_pytz() + ++ def test_replace(self): ++ # GH 14621 ++ # GH 7825 ++ # replacing datetime components with and w/o presence of a timezone ++ dt = Timestamp('2016-01-01 09:00:00') ++ result = dt.replace(hour=0) ++ expected = Timestamp('2016-01-01 00:00:00') ++ self.assertEqual(result, expected) ++ ++ for tz in self.timezones: ++ dt = Timestamp('2016-01-01 09:00:00', tz=tz) ++ result = dt.replace(hour=0) ++ expected = Timestamp('2016-01-01 00:00:00', tz=tz) ++ self.assertEqual(result, expected) ++ ++ # we preserve nanoseconds ++ dt = Timestamp('2016-01-01 09:00:00.000000123', tz=tz) ++ result = dt.replace(hour=0) ++ expected = Timestamp('2016-01-01 00:00:00.000000123', tz=tz) ++ self.assertEqual(result, expected) ++ ++ # test all ++ dt = Timestamp('2016-01-01 09:00:00.000000123', tz=tz) ++ result = dt.replace(year=2015, month=2, day=2, hour=0, minute=5, ++ second=5, microsecond=5, nanosecond=5) ++ expected = Timestamp('2015-02-02 00:05:05.000005005', tz=tz) ++ self.assertEqual(result, expected) ++ ++ # error ++ def f(): ++ dt.replace(foo=5) ++ self.assertRaises(ValueError, f) ++ ++ def f(): ++ dt.replace(hour=0.1) ++ self.assertRaises(ValueError, f) ++ ++ # assert conversion to naive is the same as replacing tzinfo with None ++ dt = Timestamp('2013-11-03 01:59:59.999999-0400', tz='US/Eastern') ++ self.assertEqual(dt.tz_localize(None), dt.replace(tzinfo=None)) ++ ++ def test_ambiguous_compat(self): ++ # validate that pytz and dateutil are compat for dst ++ # when the transition happens ++ tm._skip_if_no_dateutil() ++ tm._skip_if_no_pytz() ++ ++ pytz_zone = 'Europe/London' ++ dateutil_zone = 'dateutil/Europe/London' ++ result_pytz = (Timestamp('2013-10-27 01:00:00') ++ .tz_localize(pytz_zone, ambiguous=0)) ++ result_dateutil = (Timestamp('2013-10-27 01:00:00') ++ .tz_localize(dateutil_zone, ambiguous=0)) ++ self.assertEqual(result_pytz.value, result_dateutil.value) ++ self.assertEqual(result_pytz.value, 1382835600000000000) ++ ++ # dateutil 2.6 buggy w.r.t. ambiguous=0 ++ if dateutil.__version__ != LooseVersion('2.6.0'): ++ # GH 14621 ++ # https://github.com/dateutil/dateutil/issues/321 ++ self.assertEqual(result_pytz.to_pydatetime().tzname(), ++ result_dateutil.to_pydatetime().tzname()) ++ self.assertEqual(str(result_pytz), str(result_dateutil)) ++ ++ # 1 hour difference ++ result_pytz = (Timestamp('2013-10-27 01:00:00') ++ .tz_localize(pytz_zone, ambiguous=1)) ++ result_dateutil = (Timestamp('2013-10-27 01:00:00') ++ .tz_localize(dateutil_zone, ambiguous=1)) ++ self.assertEqual(result_pytz.value, result_dateutil.value) ++ self.assertEqual(result_pytz.value, 1382832000000000000) ++ ++ # dateutil < 2.6 is buggy w.r.t. ambiguous timezones ++ if dateutil.__version__ > LooseVersion('2.5.3'): ++ # GH 14621 ++ self.assertEqual(str(result_pytz), str(result_dateutil)) ++ self.assertEqual(result_pytz.to_pydatetime().tzname(), ++ result_dateutil.to_pydatetime().tzname()) ++ + def test_index_equals_with_tz(self): + left = date_range('1/1/2011', periods=100, freq='H', tz='utc') + right = date_range('1/1/2011', periods=100, freq='H', tz='US/Eastern') +diff --git a/pandas/tseries/tests/test_tslib.py b/pandas/tseries/tests/test_tslib.py +index 21cfe84f1..b45f867be 100644 +--- a/pandas/tseries/tests/test_tslib.py ++++ b/pandas/tseries/tests/test_tslib.py +@@ -327,8 +327,9 @@ class TestTimestamp(tm.TestCase): + + # dateutil zone change (only matters for repr) + import dateutil +- if dateutil.__version__ >= LooseVersion( +- '2.3') and dateutil.__version__ <= LooseVersion('2.4.0'): ++ if (dateutil.__version__ >= LooseVersion('2.3') and ++ (dateutil.__version__ <= LooseVersion('2.4.0') or ++ dateutil.__version__ >= LooseVersion('2.6.0'))): + timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern', + 'dateutil/US/Pacific'] + else: +diff --git a/pandas/tslib.pyx b/pandas/tslib.pyx +index d4eaaa0b5..685de214c 100644 +--- a/pandas/tslib.pyx ++++ b/pandas/tslib.pyx +@@ -98,6 +98,7 @@ except NameError: # py3 + cdef inline object create_timestamp_from_ts( + int64_t value, pandas_datetimestruct dts, + object tz, object freq): ++ """ convenience routine to construct a Timestamp from its parts """ + cdef _Timestamp ts_base + ts_base = _Timestamp.__new__(Timestamp, dts.year, dts.month, + dts.day, dts.hour, dts.min, +@@ -112,6 +113,7 @@ cdef inline object create_timestamp_from_ts( + cdef inline object create_datetime_from_ts( + int64_t value, pandas_datetimestruct dts, + object tz, object freq): ++ """ convenience routine to construct a datetime.datetime from its parts """ + return datetime(dts.year, dts.month, dts.day, dts.hour, + dts.min, dts.sec, dts.us, tz) + +@@ -378,7 +380,6 @@ class Timestamp(_Timestamp): + # Mixing pydatetime positional and keyword arguments is forbidden! + + cdef _TSObject ts +- cdef _Timestamp ts_base + + if offset is not None: + # deprecate offset kwd in 0.19.0, GH13593 +@@ -412,17 +413,7 @@ class Timestamp(_Timestamp): + from pandas.tseries.frequencies import to_offset + freq = to_offset(freq) + +- # make datetime happy +- ts_base = _Timestamp.__new__(cls, ts.dts.year, ts.dts.month, +- ts.dts.day, ts.dts.hour, ts.dts.min, +- ts.dts.sec, ts.dts.us, ts.tzinfo) +- +- # fill out rest of data +- ts_base.value = ts.value +- ts_base.freq = freq +- ts_base.nanosecond = ts.dts.ps / 1000 +- +- return ts_base ++ return create_timestamp_from_ts(ts.value, ts.dts, ts.tzinfo, freq) + + def _round(self, freq, rounder): + +@@ -660,8 +651,80 @@ class Timestamp(_Timestamp): + astimezone = tz_convert + + def replace(self, **kwds): +- return Timestamp(datetime.replace(self, **kwds), +- freq=self.freq) ++ """ ++ implements datetime.replace, handles nanoseconds ++ ++ Parameters ++ ---------- ++ kwargs: key-value dict ++ ++ accepted keywords are: ++ year, month, day, hour, minute, second, microsecond, nanosecond, tzinfo ++ ++ values must be integer, or for tzinfo, a tz-convertible ++ ++ Returns ++ ------- ++ Timestamp with fields replaced ++ """ ++ ++ cdef: ++ pandas_datetimestruct dts ++ int64_t value ++ object tzinfo, result, k, v ++ _TSObject ts ++ ++ # set to naive if needed ++ tzinfo = self.tzinfo ++ value = self.value ++ if tzinfo is not None: ++ value = tz_convert_single(value, 'UTC', tzinfo) ++ ++ # setup components ++ pandas_datetime_to_datetimestruct(value, PANDAS_FR_ns, &dts) ++ dts.ps = self.nanosecond * 1000 ++ ++ # replace ++ def validate(k, v): ++ """ validate integers """ ++ if not isinstance(v, int): ++ raise ValueError("value must be an integer, received {v} for {k}".format(v=type(v), k=k)) ++ return v ++ ++ for k, v in kwds.items(): ++ if k == 'year': ++ dts.year = validate(k, v) ++ elif k == 'month': ++ dts.month = validate(k, v) ++ elif k == 'day': ++ dts.day = validate(k, v) ++ elif k == 'hour': ++ dts.hour = validate(k, v) ++ elif k == 'minute': ++ dts.min = validate(k, v) ++ elif k == 'second': ++ dts.sec = validate(k, v) ++ elif k == 'microsecond': ++ dts.us = validate(k, v) ++ elif k == 'nanosecond': ++ dts.ps = validate(k, v) * 1000 ++ elif k == 'tzinfo': ++ tzinfo = v ++ else: ++ raise ValueError("invalid name {} passed".format(k)) ++ ++ # reconstruct & check bounds ++ value = pandas_datetimestruct_to_datetime(PANDAS_FR_ns, &dts) ++ if value != NPY_NAT: ++ _check_dts_bounds(&dts) ++ ++ # set tz if needed ++ if tzinfo is not None: ++ value = tz_convert_single(value, tzinfo, 'UTC') ++ ++ result = create_timestamp_from_ts(value, dts, tzinfo, self.freq) ++ ++ return result + + def isoformat(self, sep='T'): + base = super(_Timestamp, self).isoformat(sep=sep) +@@ -5041,7 +5104,9 @@ cpdef normalize_date(object dt): + ------- + normalized : datetime.datetime or Timestamp + """ +- if PyDateTime_Check(dt): ++ if is_timestamp(dt): ++ return dt.replace(hour=0, minute=0, second=0, microsecond=0, nanosecond=0) ++ elif PyDateTime_Check(dt): + return dt.replace(hour=0, minute=0, second=0, microsecond=0) + elif PyDate_Check(dt): + return datetime(dt.year, dt.month, dt.day) +-- +2.11.0 + diff --git a/dev-python/pandas/metadata.xml b/dev-python/pandas/metadata.xml new file mode 100644 index 000000000000..2afb9b3d5636 --- /dev/null +++ b/dev-python/pandas/metadata.xml @@ -0,0 +1,22 @@ + + + + + sci@gentoo.org + Gentoo Science Project + + + Pandas is a Python package providing fast, flexible, and expressive + data structures designed to make working with "relational" or + "labeled" data both easy and intuitive. It aims to be the + fundamental high-level building block for doing practical, real + world data analysis in Python. + + + Pull all packages to give pandas full support + + + pandas + pandas-dev/pandas + + diff --git a/dev-python/pandas/pandas-0.19.1.ebuild b/dev-python/pandas/pandas-0.19.1.ebuild new file mode 100644 index 000000000000..4ed143486987 --- /dev/null +++ b/dev-python/pandas/pandas-0.19.1.ebuild @@ -0,0 +1,165 @@ +# Copyright 1999-2017 Gentoo Foundation +# Distributed under the terms of the GNU General Public License v2 + +EAPI=5 + +PYTHON_COMPAT=( python2_7 python3_{4,5,6} ) +PYTHON_REQ_USE="threads(+)" + +VIRTUALX_REQUIRED="manual" + +inherit distutils-r1 eutils flag-o-matic virtualx + +DESCRIPTION="Powerful data structures for data analysis and statistics" +HOMEPAGE="http://pandas.pydata.org/" +SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz" + +SLOT="0" +LICENSE="BSD" +KEYWORDS="amd64 x86 ~amd64-linux ~x86-linux" +IUSE="doc -minimal full-support test X" + +MINIMAL_DEPEND=" + >dev-python/numpy-1.7[${PYTHON_USEDEP}] + >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] + ! /dev/null + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die + PYTHONPATH=. MPLCONFIGDIR=. \ + virtx nosetests --verbosity=3 -A "${test_pandas}" pandas + popd > /dev/null +} + +python_install_all() { + if use doc; then + dodoc -r "${BUILD_DIR}"/lib/doc/build/html + einfo "An initial build of docs is absent of references to statsmodels" + einfo "due to circular dependency. To have them included, emerge" + einfo "statsmodels next and re-emerge pandas with USE doc" + fi + + distutils-r1_python_install_all +} + +pkg_postinst() { + optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck + optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1" + optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml + optfeature "for msgpack compression using blosc" dev-python/blosc + optfeature "necessary for Amazon S3 access" dev-python/boto + 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" + optfeature "Template engine for conditional HTML formatting" dev-python/jinja + optfeature "Plotting support" dev-python/matplotlib + optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt + optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1" + optfeature "R I/O support" dev-python/rpy + optfeature "Needed for parts of pandas.stats" dev-python/statsmodels + optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1" + optfeature "miscellaneous statistical functions" sci-libs/scipy + 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 +} diff --git a/dev-python/pandas/pandas-0.23.0.ebuild b/dev-python/pandas/pandas-0.23.0.ebuild new file mode 100644 index 000000000000..3664e9b78fea --- /dev/null +++ b/dev-python/pandas/pandas-0.23.0.ebuild @@ -0,0 +1,172 @@ +# Copyright 1999-2018 Gentoo Foundation +# Distributed under the terms of the GNU General Public License v2 + +EAPI=6 + +PYTHON_COMPAT=( python2_7 python3_{5,6} ) +PYTHON_REQ_USE="threads(+)" + +VIRTUALX_REQUIRED="manual" + +inherit distutils-r1 eutils flag-o-matic virtualx + +DESCRIPTION="Powerful data structures for data analysis and statistics" +HOMEPAGE="http://pandas.pydata.org/" +SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz" + +SLOT="0" +LICENSE="BSD" +KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux" +IUSE="doc full-support minimal test X" + +RECOMMENDED_DEPEND=" + dev-python/bottleneck[${PYTHON_USEDEP}] + >=dev-python/numexpr-2.1[${PYTHON_USEDEP}] +" +OPTIONAL_DEPEND=" + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/blosc[${PYTHON_USEDEP}] + dev-python/boto[${PYTHON_USEDEP}] + >=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)] + || ( + dev-python/html5lib[${PYTHON_USEDEP}] + dev-python/lxml[${PYTHON_USEDEP}] + ) + dev-python/httplib2[${PYTHON_USEDEP}] + dev-python/jinja[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + || ( + >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] + dev-python/xlsxwriter[${PYTHON_USEDEP}] + ) + >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}] + dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)] + dev-python/rpy[${PYTHON_USEDEP}] + dev-python/setuptools[${PYTHON_USEDEP}] + dev-python/statsmodels[${PYTHON_USEDEP}] + >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}] + dev-python/xarray[${PYTHON_USEDEP}] + dev-python/xlrd[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + sci-libs/scipy[${PYTHON_USEDEP}] + X? ( + || ( + dev-python/PyQt5[${PYTHON_USEDEP}] + dev-python/pygtk[$(python_gen_usedep python2_7)] + ) + || ( + x11-misc/xclip + x11-misc/xsel + ) + ) +" +COMMON_DEPEND=" + >dev-python/numpy-1.7[${PYTHON_USEDEP}] + >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] +" +DEPEND="${COMMON_DEPEND} + dev-python/setuptools[${PYTHON_USEDEP}] + >=dev-python/cython-0.23[${PYTHON_USEDEP}] + doc? ( + ${VIRTUALX_DEPEND} + app-text/pandoc + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/html5lib[${PYTHON_USEDEP}] + dev-python/ipython[${PYTHON_USEDEP}] + dev-python/lxml[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + dev-python/nbsphinx[${PYTHON_USEDEP}] + >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] + >=dev-python/pytables-3.0.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] + dev-python/rpy[${PYTHON_USEDEP}] + >=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}] + dev-python/xlrd[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + sci-libs/scipy[${PYTHON_USEDEP}] + x11-misc/xclip + ) + test? ( + ${VIRTUALX_DEPEND} + ${RECOMMENDED_DEPEND} + ${OPTIONAL_DEPEND} + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/nose[${PYTHON_USEDEP}] + dev-python/pymysql[${PYTHON_USEDEP}] + dev-python/psycopg:2[${PYTHON_USEDEP}] + x11-misc/xclip + x11-misc/xsel + ) +" +# dev-python/statsmodels invokes a circular dep +# hence rm from doc? ( ), again +RDEPEND="${COMMON_DEPEND} + ! /dev/null + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die + PYTHONPATH=. MPLCONFIGDIR=. \ + virtx nosetests --verbosity=3 -A "${test_pandas}" pandas + popd > /dev/null +} + +python_install_all() { + if use doc; then + dodoc -r "${BUILD_DIR}"/lib/doc/build/html + einfo "An initial build of docs is absent of references to statsmodels" + einfo "due to circular dependency. To have them included, emerge" + einfo "statsmodels next and re-emerge pandas with USE doc" + fi + + distutils-r1_python_install_all +} + +pkg_postinst() { + optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck + optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1" + optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml + optfeature "for msgpack compression using blosc" dev-python/blosc + optfeature "necessary for Amazon S3 access" dev-python/boto + 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" + optfeature "Template engine for conditional HTML formatting" dev-python/jinja + optfeature "Plotting support" dev-python/matplotlib + optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt + optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1" + optfeature "R I/O support" dev-python/rpy + optfeature "Needed for parts of pandas.stats" dev-python/statsmodels + optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1" + optfeature "miscellaneous statistical functions" sci-libs/scipy + optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel +} diff --git a/dev-python/pandas/pandas-9999.ebuild b/dev-python/pandas/pandas-9999.ebuild new file mode 100644 index 000000000000..469385a6a855 --- /dev/null +++ b/dev-python/pandas/pandas-9999.ebuild @@ -0,0 +1,171 @@ +# Copyright 1999-2018 Gentoo Foundation +# Distributed under the terms of the GNU General Public License v2 + +EAPI=6 + +PYTHON_COMPAT=( python2_7 python3_{5,6} ) +PYTHON_REQ_USE="threads(+)" + +VIRTUALX_REQUIRED="manual" + +inherit distutils-r1 eutils flag-o-matic git-r3 virtualx + +DESCRIPTION="Powerful data structures for data analysis and statistics" +HOMEPAGE="http://pandas.pydata.org/" +SRC_URI="" +EGIT_REPO_URI="https://github.com/pydata/pandas.git" + +SLOT="0" +LICENSE="BSD" +KEYWORDS="" +IUSE="doc full-support minimal test X" + +RECOMMENDED_DEPEND=" + dev-python/bottleneck[${PYTHON_USEDEP}] + >=dev-python/numexpr-2.1[${PYTHON_USEDEP}] +" +OPTIONAL_DEPEND=" + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/blosc[${PYTHON_USEDEP}] + dev-python/boto[${PYTHON_USEDEP}] + >=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)] + || ( + dev-python/html5lib[${PYTHON_USEDEP}] + dev-python/lxml[${PYTHON_USEDEP}] + ) + dev-python/httplib2[${PYTHON_USEDEP}] + dev-python/jinja[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + || ( + >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] + dev-python/xlsxwriter[${PYTHON_USEDEP}] + ) + >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}] + dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)] + dev-python/rpy[${PYTHON_USEDEP}] + dev-python/setuptools[${PYTHON_USEDEP}] + dev-python/statsmodels[${PYTHON_USEDEP}] + >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}] + dev-python/xarray[${PYTHON_USEDEP}] + dev-python/xlrd[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + sci-libs/scipy[${PYTHON_USEDEP}] + X? ( + || ( + dev-python/PyQt5[${PYTHON_USEDEP}] + dev-python/pygtk[$(python_gen_usedep python2_7)] + ) + || ( + x11-misc/xclip + x11-misc/xsel + ) + ) +" +COMMON_DEPEND=" + >dev-python/numpy-1.7[${PYTHON_USEDEP}] + >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] +" +DEPEND="${COMMON_DEPEND} + dev-python/setuptools[${PYTHON_USEDEP}] + >=dev-python/cython-0.23[${PYTHON_USEDEP}] + doc? ( + ${VIRTUALX_DEPEND} + app-text/pandoc + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/html5lib[${PYTHON_USEDEP}] + dev-python/ipython[${PYTHON_USEDEP}] + dev-python/lxml[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + dev-python/nbsphinx[${PYTHON_USEDEP}] + >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] + >=dev-python/pytables-3.0.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] + dev-python/rpy[${PYTHON_USEDEP}] + >=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}] + dev-python/xlrd[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + sci-libs/scipy[${PYTHON_USEDEP}] + x11-misc/xclip + ) + test? ( + ${VIRTUALX_DEPEND} + ${RECOMMENDED_DEPEND} + ${OPTIONAL_DEPEND} + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/nose[${PYTHON_USEDEP}] + dev-python/pymysql[${PYTHON_USEDEP}] + dev-python/psycopg:2[${PYTHON_USEDEP}] + x11-misc/xclip + x11-misc/xsel + ) +" +# dev-python/statsmodels invokes a circular dep +# hence rm from doc? ( ), again +RDEPEND="${COMMON_DEPEND} + ! /dev/null + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die + PYTHONPATH=. MPLCONFIGDIR=. \ + virtx nosetests --verbosity=3 -A "${test_pandas}" pandas + popd > /dev/null +} + +python_install_all() { + if use doc; then + dodoc -r "${BUILD_DIR}"/lib/doc/build/html + einfo "An initial build of docs is absent of references to statsmodels" + einfo "due to circular dependency. To have them included, emerge" + einfo "statsmodels next and re-emerge pandas with USE doc" + fi + + distutils-r1_python_install_all +} + +pkg_postinst() { + optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck + optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1" + optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml + optfeature "for msgpack compression using blosc" dev-python/blosc + optfeature "necessary for Amazon S3 access" dev-python/boto + 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" + optfeature "Template engine for conditional HTML formatting" dev-python/jinja + optfeature "Plotting support" dev-python/matplotlib + optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt + optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1" + optfeature "R I/O support" dev-python/rpy + optfeature "Needed for parts of pandas.stats" dev-python/statsmodels + optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1" + optfeature "miscellaneous statistical functions" sci-libs/scipy + optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel +} -- cgit v1.2.3