Accepting request 685823 from devel:languages:python:numeric
OBS-URL: https://build.opensuse.org/request/show/685823 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=17
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Dominique Leuenberger
Git OBS Bridge
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version https://git-lfs.github.com/spec/v1
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oid sha256:435821cb2501eabbcee7e83614bd710940dc0cf28b5afbc4bdb816c31cec71af
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size 11832827
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3
pandas-0.24.2.tar.gz
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3
pandas-0.24.2.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f919f409c433577a501e023943e582c57355d50a724c589e78bc1d551a535a2
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size 11837693
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48
pandas-tests-memory.patch
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48
pandas-tests-memory.patch
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From 5a73ff8b4e10d016e0fd4162fa14c8f1a41345d9 Mon Sep 17 00:00:00 2001
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From: =?UTF-8?q?Tom=C3=A1=C5=A1=20Chv=C3=A1tal?= <tchvatal@suse.com>
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Date: Thu, 21 Feb 2019 15:05:21 +0100
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Subject: [PATCH] Mark test_pct_max_many_rows as high memory
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Fixes issue #25384
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---
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pandas/tests/frame/test_rank.py | 1 +
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pandas/tests/series/test_rank.py | 1 +
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pandas/tests/test_algos.py | 1 +
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3 files changed, 3 insertions(+)
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diff --git a/pandas/tests/frame/test_rank.py b/pandas/tests/frame/test_rank.py
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index 10c42e0d1a1..6bb9dea15d1 100644
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--- a/pandas/tests/frame/test_rank.py
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+++ b/pandas/tests/frame/test_rank.py
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@@ -310,6 +310,7 @@ def test_rank_pct_true(self, method, exp):
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tm.assert_frame_equal(result, expected)
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@pytest.mark.single
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+ @pytest.mark.high_memory
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def test_pct_max_many_rows(self):
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# GH 18271
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df = DataFrame({'A': np.arange(2**24 + 1),
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diff --git a/pandas/tests/series/test_rank.py b/pandas/tests/series/test_rank.py
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index 510a51e0029..dfcda889269 100644
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--- a/pandas/tests/series/test_rank.py
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+++ b/pandas/tests/series/test_rank.py
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@@ -499,6 +499,7 @@ def test_rank_first_pct(dtype, ser, exp):
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@pytest.mark.single
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+@pytest.mark.high_memory
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def test_pct_max_many_rows():
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# GH 18271
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s = Series(np.arange(2**24 + 1))
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diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py
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index 888cf78a1c6..cb7426ce2f7 100644
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--- a/pandas/tests/test_algos.py
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+++ b/pandas/tests/test_algos.py
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@@ -1484,6 +1484,7 @@ def test_too_many_ndims(self):
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algos.rank(arr)
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@pytest.mark.single
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+ @pytest.mark.high_memory
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@pytest.mark.parametrize('values', [
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np.arange(2**24 + 1),
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np.arange(2**25 + 2).reshape(2**24 + 1, 2)],
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@ -1,3 +1,91 @@
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-------------------------------------------------------------------
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Sat Mar 16 22:35:08 UTC 2019 - Arun Persaud <arun@gmx.de>
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- specfile:
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* requier pytest-mock
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- update to version 0.24.2:
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* Fixed Regressions
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+ Fixed regression in DataFrame.all() and DataFrame.any() where
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bool_only=True was ignored (GH25101)
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+ Fixed issue in DataFrame construction with passing a mixed list
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of mixed types could segfault. (GH25075)
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+ Fixed regression in DataFrame.apply() causing RecursionError
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when dict-like classes were passed as argument. (GH25196)
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+ Fixed regression in DataFrame.replace() where regex=True was
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only replacing patterns matching the start of the string
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(GH25259)
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+ Fixed regression in DataFrame.duplicated(), where empty
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dataframe was not returning a boolean dtyped Series. (GH25184)
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+ Fixed regression in Series.min() and Series.max() where
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numeric_only=True was ignored when the Series contained
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Categorical data (GH25299)
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+ Fixed regression in subtraction between Series objects with
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datetime64[ns] dtype incorrectly raising OverflowError when the
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Series on the right contains null values (GH25317)
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+ Fixed regression in TimedeltaIndex where np.sum(index)
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incorrectly returned a zero-dimensional object instead of a
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scalar (GH25282)
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+ Fixed regression in IntervalDtype construction where passing an
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incorrect string with ‘Interval’ as a prefix could result in a
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RecursionError. (GH25338)
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+ Fixed regression in creating a period-dtype array from a
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read-only NumPy array of period objects. (GH25403)
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+ Fixed regression in Categorical, where constructing it from a
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categorical Series and an explicit categories= that differed
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from that in the Series created an invalid object which could
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trigger segfaults. (GH25318)
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+ Fixed regression in to_timedelta() losing precision when
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converting floating data to Timedelta data (GH25077).
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+ Fixed pip installing from source into an environment without
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NumPy (GH25193)
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+ Fixed regression in DataFrame.replace() where large strings of
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numbers would be coerced into int64, causing an OverflowError
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(GH25616)
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+ Fixed regression in factorize() when passing a custom
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na_sentinel value with sort=True (GH25409).
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+ Fixed regression in DataFrame.to_csv() writing duplicate line
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endings with gzip compress (GH25311)
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* Bug Fixes
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+ I/O
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o Better handling of terminal printing when the terminal
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dimensions are not known (GH25080)
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o Bug in reading a HDF5 table-format DataFrame created in Python
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2, in Python 3 (GH24925)
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o Bug in reading a JSON with orient='table' generated by
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DataFrame.to_json() with index=False (GH25170)
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o Bug where float indexes could have misaligned values when
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printing (GH25061)
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+ Reshaping
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o Bug in transform() where applying a function to a timezone aware
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column would return a timezone naive result (GH24198)
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o Bug in DataFrame.join() when joining on a timezone aware
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DatetimeIndex (GH23931)
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o Visualization
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o Bug in Series.plot() where a secondary y axis could not be set
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to log scale (GH25545)
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+ Other
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o Bug in Series.is_unique() where single occurrences of NaN were
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not considered unique (GH25180)
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o Bug in merge() when merging an empty DataFrame with an Int64
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column or a non-empty DataFrame with an Int64 column that is all
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NaN (GH25183)
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o Bug in IntervalTree where a RecursionError occurs upon
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construction due to an overflow when adding endpoints, which
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also causes IntervalIndex to crash during indexing operations
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(GH25485)
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o Bug in Series.size raising for some extension-array-backed
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Series, rather than returning the size (GH25580)
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o Bug in resampling raising for nullable integer-dtype columns
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(GH25580)
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-------------------------------------------------------------------
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Fri Feb 22 10:22:38 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
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- Add patch to fix testrun on 32bit:
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https://github.com/pandas-dev/pandas/issues/25384
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* pandas-tests-memory.patch
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-------------------------------------------------------------------
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Thu Feb 21 10:45:17 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
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@ -19,13 +19,14 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define oldpython python
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Name: python-pandas
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Version: 0.24.1
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Version: 0.24.2
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Release: 0
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Summary: Python module for working with "relational" or "labeled" data
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License: BSD-3-Clause
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Group: Development/Libraries/Python
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URL: http://pandas.pydata.org/
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Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
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Patch0: pandas-tests-memory.patch
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BuildRequires: %{python_module Cython >= 0.28.2}
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BuildRequires: %{python_module SQLAlchemy}
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BuildRequires: %{python_module XlsxWriter}
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@ -35,6 +36,7 @@ BuildRequires: %{python_module hypothesis}
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BuildRequires: %{python_module lxml}
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BuildRequires: %{python_module nose}
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BuildRequires: %{python_module numpy-devel >= 1.15.0}
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BuildRequires: %{python_module pytest-mock}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module python-dateutil >= 2.5}
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BuildRequires: %{python_module pytz >= 2011k}
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@ -92,6 +94,7 @@ http://pandas.pydata.org/pandas-docs/stable/ .
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%prep
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%setup -q -n pandas-%{version}
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%patch0 -p1
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sed -i -e '/^#!\//, 1d' pandas/core/computation/eval.py
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%build
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