automatic import of python-Bottleneckopeneuler20.03

3 files changed, 25 insertions, 25 deletions

diff --git a/.gitignore b/.gitignore
index 46fca16..2597b16 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,3 @@
 /Bottleneck-1.3.6.tar.gz
 /Bottleneck-1.3.7.tar.gz
+/bottleneck-1.4.2.tar.gz
diff --git a/python-Bottleneck.spec b/python-Bottleneck.spec
index 3b78f20..9d03c48 100644
--- a/python-Bottleneck.spec
+++ b/python-Bottleneck.spec
@@ -1,19 +1,19 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-Bottleneck
-Version:	1.3.7
+Version:	1.4.2
 Release:	1
 Summary:	Fast NumPy array functions written in C
 License:	Simplified BSD
 URL:		https://github.com/pydata/bottleneck
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/98/1f/e5c91a94a9e695fe12442aa3a1c0c8fa7b09b1091ab885e288a45733c089/Bottleneck-1.3.7.tar.gz
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/2e/61/9fb34409d58f04e1929da41666a055c36f9495903ff669b80c893bdee65f/bottleneck-1.4.2.tar.gz
 
-Requires:	python3-numpy
-Requires:	python3-numpydoc
-Requires:	python3-sphinx
-Requires:	python3-gitpython
+Requires:	(python3-numpy)
+Requires:	(python3-numpydoc)
+Requires:	(python3-sphinx)
+Requires:	(python3-gitpython)
 
 %description
-Bottleneck comes with a benchmark suite::
+Bottleneck comes with a benchmark suite:
     >>> bn.bench()
     Bottleneck performance benchmark
         Bottleneck 1.3.0.dev0+122.gb1615d7; Numpy 1.16.4
@@ -52,7 +52,7 @@ Bottleneck comes with a benchmark suite::
     move_median  2236.9      153.9      151.4      171.3      166.9
     move_rank     847.1        1.2        1.4        2.3        2.6
 You can also run a detailed benchmark for a single function using, for
-example, the command::
+example, the command:
     >>> bn.bench_detailed("move_median", fraction_nan=0.3)
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
@@ -66,11 +66,12 @@ Provides:	python-Bottleneck
 BuildRequires:	python3-devel
 BuildRequires:	python3-setuptools
 BuildRequires:	python3-pip
+BuildRequires:	python3-wheel
 BuildRequires:	python3-cffi
 BuildRequires:	gcc
 BuildRequires:	gdb
 %description -n python3-Bottleneck
-Bottleneck comes with a benchmark suite::
+Bottleneck comes with a benchmark suite:
     >>> bn.bench()
     Bottleneck performance benchmark
         Bottleneck 1.3.0.dev0+122.gb1615d7; Numpy 1.16.4
@@ -109,7 +110,7 @@ Bottleneck comes with a benchmark suite::
     move_median  2236.9      153.9      151.4      171.3      166.9
     move_rank     847.1        1.2        1.4        2.3        2.6
 You can also run a detailed benchmark for a single function using, for
-example, the command::
+example, the command:
     >>> bn.bench_detailed("move_median", fraction_nan=0.3)
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
@@ -121,7 +122,7 @@ accelerated regardless of dtype.
 Summary:	Development documents and examples for Bottleneck
 Provides:	python3-Bottleneck-doc
 %description help
-Bottleneck comes with a benchmark suite::
+Bottleneck comes with a benchmark suite:
     >>> bn.bench()
     Bottleneck performance benchmark
         Bottleneck 1.3.0.dev0+122.gb1615d7; Numpy 1.16.4
@@ -160,7 +161,7 @@ Bottleneck comes with a benchmark suite::
     move_median  2236.9      153.9      151.4      171.3      166.9
     move_rank     847.1        1.2        1.4        2.3        2.6
 You can also run a detailed benchmark for a single function using, for
-example, the command::
+example, the command:
     >>> bn.bench_detailed("move_median", fraction_nan=0.3)
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
@@ -169,45 +170,43 @@ array on a little-endian operating system) the function will not be
 accelerated regardless of dtype.
 
 %prep
-%autosetup -n Bottleneck-1.3.7
+%autosetup -n bottleneck-1.4.2
 
 %build
-%py3_build
+%pyproject_build
 
 %install
-%py3_install
+%pyproject_install
 install -d -m755 %{buildroot}/%{_pkgdocdir}
 if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
 if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
 if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
 if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
 pushd %{buildroot}
-if [ -d usr/lib ]; then
-	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
-fi
+touch filelist.lst
 if [ -d usr/lib64 ]; then
-	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+	find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
 fi
 if [ -d usr/bin ]; then
-	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+	find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
 fi
 if [ -d usr/sbin ]; then
-	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+	find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
 fi
 touch doclist.lst
 if [ -d usr/share/man ]; then
-	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
 fi
 popd
 mv %{buildroot}/filelist.lst .
 mv %{buildroot}/doclist.lst .
 
 %files -n python3-Bottleneck -f filelist.lst
-%dir %{python3_sitearch}/*
+%{python3_sitearch}/*
 
 %files help -f doclist.lst
 %{_docdir}/*
 
 %changelog
-* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.7-1
+* Tue Dec 17 2024 Python_Bot <Python_Bot@openeuler.org> - 1.4.2-1
 - Package Spec generated
diff --git a/sources b/sources
index e4878e8..789cf7d 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-0a49691a5a6627caf1148d267af7c282  Bottleneck-1.3.7.tar.gz
+3fac642a0e58ef58cae86cff0543ede3  bottleneck-1.4.2.tar.gz