pandas: Autospec creation for update from version 1.0.3 to version 1.0.4

MeeseeksMachine (10):
      Backport PR #32833: DOC: FutureWarning in Sphinx build when calling read_parquet (#32847)
      Backport PR #32827: DOC: Fixed contributors for bugfix releases (#32928)
      Backport PR #33566: CI: Fix jedi deprecation warning for 0.17.0 on IPython (#33972)
      Backport PR #33080: CI troubleshoot azure (#33973)
      Backport PR #33309: DOC: include Offset.__call__ to autosummary to fix sphinx warning (#33975)
      Backport PR #31146: Remove possibly illegal test data (#33976)
      Backport PR #33241: tostring->tobytes (#33993)
      Backport PR #33954: DOC: update conf.py to use new numpy doc url (#33996)
      Backport PR #33102: PERF: fix performance regression in memory_usage(deep=True) for object dtype (#33157)
      Backport PR #33968: CI: Bump numpydev URL (#34250)

MomIsBestFriend (1):
      Backport PR #32840 on branch 1.0.x (DOC: use new pydata-sphinx-theme name) (#32848)

Pandas Development Team (1):
      RLS: 1.0.4

Simon Hawkins (24):
      CI: test_unsupported_other fails on pyarrow 0.17 (#33990)
      CI/DEP: Use numba.extending.is_jitted for numba version > 0.49.0 (#33994)
      DOC: start 1.0.4 (#33970)
      BLD: recursive inclusion of DLLs in package data (#33246) (#33995)
      Backport PR #33462 on branch 1.0.x (BUG: None converted to NaN after groupby first and last) (#33998)
      Backport PR #33761 on branch 1.0.x (REGR: fix DataFrame reduction with EA columns and numeric_only=True) (#34000)
      Backport PR #33292 on branch 1.0.x (REGR: Fix bug when replacing categorical value with self) (#34004)
      Backport PR #32870 on branch 1.0.x (DOC: Remove latest whatsnew from header) (#34003)
      Backport PR #33629 on branch 1.0.x (BUG: Fix Categorical use_inf_as_na bug) (#34001)
      release note for #33102 (#34005)
      Backport PR #33513 on branch 1.0.x  (BUG: Fix Categorical.min / max bug) (#34022)
      Backport PR #32905 on branch 1.0.x (Fix to _get_nearest_indexer for pydata/xarray#3751) (#34025)
      Backport PR #33693 on branch 1.0.x (BUG: Fix memory issues in rolling.min/max) (#34027)
      Backport PR #33089 on branch 1.0.x (BUG: Don't cast nullable Boolean to float in groupby) (#34023)
      Backport PR #33645, #33632 and #34087 on branch 1.0.x (#34173)
      Backport PR #34048 on branch 1.0.x (Bug in DataFrame.replace casts columns to ``object`` dtype if items in ``to_replace`` not in values) (#34115)
      REGR: exceptions not caught in _call_map_locations (#34113)
      Backport PR #33983 on branch 1.0.x (BUG: Use args and kwargs in Rolling.apply) (#34190)
      Backport PR #34049 on branch 1.0.x (Bug in Series.groupby would raise ValueError when grouping by PeriodIndex level) (#34247)
      Backport PR #34053 on branch 1.0.x (more informative error message with np.min or np.max on unordered Categorical) (#34246)
      Backport PR #32479 on branch 1.0.x (BUG: Fix issue with datetime[ns, tz] input in Block.setitem) (#34369)
      Backport PR #33644 on branch 1.0.x  (BUG: Groupby quantiles incorrect bins) (#34382)
      DOC: intersphinx inventory link for statsmodels (#34424)
      DOC: 1.0.4 release notes and date (#34425)

Author: phmccarty

Makefile

@@ -1,5 +1,5 @@
 PKG_NAME := pandas
-URL = https://github.com/pandas-dev/pandas/releases/download/v1.0.3/pandas-1.0.3.tar.gz
+URL = https://github.com/pandas-dev/pandas/releases/download/v1.0.4/pandas-1.0.4.tar.gz
 ARCHIVES = 
 
 include ../common/Makefile.common

options.conf

@@ -1,6 +1,6 @@
 [package]
 name = pandas
-url = https://github.com/pandas-dev/pandas/releases/download/v1.0.3/pandas-1.0.3.tar.gz
+url = https://github.com/pandas-dev/pandas/releases/download/v1.0.4/pandas-1.0.4.tar.gz
 archives = 
 giturl = https://github.com/pandas-dev/pandas.git
 domain = 
@@ -39,6 +39,8 @@ no_autostart = false
 nodebug = false
 # disable stripping binaries
 nostrip = false
+# configure build also for openmpi
+openmpi = false
 # optimize build for size over speed
 optimize_size = false
 # set profile for pgo

pandas.spec

@@ -3,13 +3,13 @@
 # Generated by: autospec.py
 #
 Name     : pandas
-Version  : 1.0.3
-Release  : 79
-URL      : https://github.com/pandas-dev/pandas/releases/download/v1.0.3/pandas-1.0.3.tar.gz
-Source0  : https://github.com/pandas-dev/pandas/releases/download/v1.0.3/pandas-1.0.3.tar.gz
+Version  : 1.0.4
+Release  : 80
+URL      : https://github.com/pandas-dev/pandas/releases/download/v1.0.4/pandas-1.0.4.tar.gz
+Source0  : https://github.com/pandas-dev/pandas/releases/download/v1.0.4/pandas-1.0.4.tar.gz
 Summary  : Powerful data structures for data analysis, time series, and statistics
 Group    : Development/Tools
-License  : Apache-2.0 BSD-3-Clause MIT Python-2.0
+License  : Apache-2.0 BSD-3-Clause CNRI-Python-GPL-Compatible HPND MIT Python-2.0
 Requires: pandas-license = %{version}-%{release}
 Requires: pandas-python = %{version}-%{release}
 Requires: pandas-python3 = %{version}-%{release}
@@ -23,9 +23,14 @@ BuildRequires : python-dateutil
 BuildRequires : pytz
 
 %description
-<div align="center">
-<img src="https://dev.pandas.io/static/img/pandas.svg"><br>
-</div>
+**pandas** is a Python package providing fast, flexible, and expressive data
+        structures designed to make working with structured (tabular, multidimensional,
+        potentially heterogeneous) and time series data both easy and intuitive. It
+        aims to be the fundamental high-level building block for doing practical,
+        **real world** data analysis in Python. Additionally, it has the broader goal
+        of becoming **the most powerful and flexible open source data analysis /
+        manipulation tool available in any language**. It is already well on its way
+        toward this goal.
 
 %package license
 Summary: license components for the pandas package.
@@ -58,20 +63,19 @@ python3 components for the pandas package.
 
 
 %prep
-%setup -q -n pandas-1.0.3
-cd %{_builddir}/pandas-1.0.3
+%setup -q -n pandas-1.0.4
+cd %{_builddir}/pandas-1.0.4
 
 %build
 export http_proxy=http://127.0.0.1:9/
 export https_proxy=http://127.0.0.1:9/
 export no_proxy=localhost,127.0.0.1,0.0.0.0
 export LANG=C.UTF-8
-export SOURCE_DATE_EPOCH=1584569330
-# -Werror is for werrorists
+export SOURCE_DATE_EPOCH=1590704127
 export GCC_IGNORE_WERROR=1
 export CFLAGS="$CFLAGS -fno-lto "
-export FCFLAGS="$CFLAGS -fno-lto "
-export FFLAGS="$CFLAGS -fno-lto "
+export FCFLAGS="$FFLAGS -fno-lto "
+export FFLAGS="$FFLAGS -fno-lto "
 export CXXFLAGS="$CXXFLAGS -fno-lto "
 export MAKEFLAGS=%{?_smp_mflags}
 python3 setup.py build
@@ -80,15 +84,14 @@ python3 setup.py build
 export MAKEFLAGS=%{?_smp_mflags}
 rm -rf %{buildroot}
 mkdir -p %{buildroot}/usr/share/package-licenses/pandas
-cp %{_builddir}/pandas-1.0.3/LICENSE %{buildroot}/usr/share/package-licenses/pandas/4fa433917dff1e164ab330c245c482a84482b2fd
-cp %{_builddir}/pandas-1.0.3/LICENSES/DATEUTIL_LICENSE %{buildroot}/usr/share/package-licenses/pandas/59705b5e5de0c08d1506859dab3dd36715998366
-cp %{_builddir}/pandas-1.0.3/LICENSES/MUSL_LICENSE %{buildroot}/usr/share/package-licenses/pandas/aa79650c58365b839520605049992f3ec72c6589
-cp %{_builddir}/pandas-1.0.3/LICENSES/NUMPY_LICENSE %{buildroot}/usr/share/package-licenses/pandas/aae4e68d85be0c9ead6a174a888fa39acbf8a02e
-cp %{_builddir}/pandas-1.0.3/LICENSES/PSF_LICENSE %{buildroot}/usr/share/package-licenses/pandas/a6cdff8a5e3b32bfdbe19e3656e0414da538da84
-cp %{_builddir}/pandas-1.0.3/LICENSES/SAS7BDAT_LICENSE %{buildroot}/usr/share/package-licenses/pandas/a7ffac8725946811387bca8b7c919865928147b7
-cp %{_builddir}/pandas-1.0.3/LICENSES/SCIPY_LICENSE %{buildroot}/usr/share/package-licenses/pandas/b4877732067b3d91fb2e5037d6fb9f7701516eca
-cp %{_builddir}/pandas-1.0.3/LICENSES/ULTRAJSON_LICENSE %{buildroot}/usr/share/package-licenses/pandas/d95dab5d75b58d376b7ee30bc0516908f40f4dc3
-cp %{_builddir}/pandas-1.0.3/LICENSES/XARRAY_LICENSE %{buildroot}/usr/share/package-licenses/pandas/172ca3bbafe312a1cf09cfff26953db2f425c28e
+cp %{_builddir}/pandas-1.0.4/LICENSE %{buildroot}/usr/share/package-licenses/pandas/bf1aac2b87c6afcacf786f842143464cb8207f2b
+cp %{_builddir}/pandas-1.0.4/LICENSES/DATEUTIL_LICENSE %{buildroot}/usr/share/package-licenses/pandas/e90cd623ce311fb9c2171259a0b26bd41aad5932
+cp %{_builddir}/pandas-1.0.4/LICENSES/NUMPY_LICENSE %{buildroot}/usr/share/package-licenses/pandas/451ff2c070eb914e3b8dd52cc89e06aa0de5da0e
+cp %{_builddir}/pandas-1.0.4/LICENSES/PSF_LICENSE %{buildroot}/usr/share/package-licenses/pandas/1b1793c3bde409064d8bfae40b98b3f8e5f9c8c9
+cp %{_builddir}/pandas-1.0.4/LICENSES/SAS7BDAT_LICENSE %{buildroot}/usr/share/package-licenses/pandas/11d0a46485ac8591175f7d0ba49d0ad511953313
+cp %{_builddir}/pandas-1.0.4/LICENSES/SCIPY_LICENSE %{buildroot}/usr/share/package-licenses/pandas/08ed2546f5bebaf5fa74bc321e4565335119a33b
+cp %{_builddir}/pandas-1.0.4/LICENSES/ULTRAJSON_LICENSE %{buildroot}/usr/share/package-licenses/pandas/46a234f361db31175572a0ac278dc5f05c0998b1
+cp %{_builddir}/pandas-1.0.4/LICENSES/XARRAY_LICENSE %{buildroot}/usr/share/package-licenses/pandas/24e69035545b2aadd9e1295d80197648406796dc
 python3 -tt setup.py build  install --root=%{buildroot}
 echo ----[ mark ]----
 cat %{buildroot}/usr/lib/python3*/site-packages/*/requires.txt || :
@@ -99,15 +102,14 @@ echo ----[ mark ]----
 
 %files license
 %defattr(0644,root,root,0755)
-/usr/share/package-licenses/pandas/172ca3bbafe312a1cf09cfff26953db2f425c28e
-/usr/share/package-licenses/pandas/4fa433917dff1e164ab330c245c482a84482b2fd
-/usr/share/package-licenses/pandas/59705b5e5de0c08d1506859dab3dd36715998366
-/usr/share/package-licenses/pandas/a6cdff8a5e3b32bfdbe19e3656e0414da538da84
-/usr/share/package-licenses/pandas/a7ffac8725946811387bca8b7c919865928147b7
-/usr/share/package-licenses/pandas/aa79650c58365b839520605049992f3ec72c6589
-/usr/share/package-licenses/pandas/aae4e68d85be0c9ead6a174a888fa39acbf8a02e
-/usr/share/package-licenses/pandas/b4877732067b3d91fb2e5037d6fb9f7701516eca
-/usr/share/package-licenses/pandas/d95dab5d75b58d376b7ee30bc0516908f40f4dc3
+/usr/share/package-licenses/pandas/08ed2546f5bebaf5fa74bc321e4565335119a33b
+/usr/share/package-licenses/pandas/11d0a46485ac8591175f7d0ba49d0ad511953313
+/usr/share/package-licenses/pandas/1b1793c3bde409064d8bfae40b98b3f8e5f9c8c9
+/usr/share/package-licenses/pandas/24e69035545b2aadd9e1295d80197648406796dc
+/usr/share/package-licenses/pandas/451ff2c070eb914e3b8dd52cc89e06aa0de5da0e
+/usr/share/package-licenses/pandas/46a234f361db31175572a0ac278dc5f05c0998b1
+/usr/share/package-licenses/pandas/bf1aac2b87c6afcacf786f842143464cb8207f2b
+/usr/share/package-licenses/pandas/e90cd623ce311fb9c2171259a0b26bd41aad5932
 
 %files python
 %defattr(-,root,root,-)

release

@@ -1 +1 @@
-79
+80

upstream

@@ -1 +1 @@
-33194c5123d3a78b6a6e4009a6bb339c4ca368f6/pandas-1.0.3.tar.gz
+0f2c371cacdec7e24be0d2ddab6c855167f6cf89/pandas-1.0.4.tar.gz

versions

@@ -1 +1 @@
-1.0.3
+1.0.4