automatic import of python-bloom-filter

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diff --git a/.gitignore b/.gitignore
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+/bloom_filter-1.3.3.tar.gz
diff --git a/python-bloom-filter.spec b/python-bloom-filter.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-bloom-filter
+Version:	1.3.3
+Release:	1
+Summary:	Pure Python Bloom Filter module
+License:	MIT
+URL:		https://github.com/hiway/python-bloom-filter
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b2/42/43d11c75b769cb4e7ca1fd756c4ac98db5144ce2e00711a25dcbe1412648/bloom_filter-1.3.3.tar.gz
+BuildArch:	noarch
+
+
+%description
+Note: This project has gone unmaintained for a while,
+please use the more up-to-date project at: 
+- https://github.com/remram44/python-bloom-filter
+- https://pypi.org/project/bloom-filter2/
+
+A pure python bloom filter (low storage requirement, probabilistic
+set datastructure) is provided.  It is known to work on CPython 2.x,
+CPython 3.x, Pypy and Jython.
+
+Includes mmap, in-memory and disk-seek backends.
+
+The user specifies the desired maximum number of elements and the
+desired maximum false positive probability, and the module
+calculates the rest.
+
+Usage:
+
+::
+
+    from bloom_filter import BloomFilter
+
+    # instantiate BloomFilter with custom settings,
+    # max_elements is how many elements you expect the filter to hold.
+    # error_rate defines accuracy; You can use defaults with
+    # `BloomFilter()` without any arguments. Following example
+    # is same as defaults:
+    bloom = BloomFilter(max_elements=10000, error_rate=0.1)
+
+    # Test whether the bloom-filter has seen a key:
+    assert "test-key" in bloom is False
+
+    # Mark the key as seen
+    bloom.add("test-key")
+
+    # Now check again
+    assert "test-key" in bloom is True
+    
+
+
+
+
+%package -n python3-bloom-filter
+Summary:	Pure Python Bloom Filter module
+Provides:	python-bloom-filter
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-bloom-filter
+Note: This project has gone unmaintained for a while,
+please use the more up-to-date project at: 
+- https://github.com/remram44/python-bloom-filter
+- https://pypi.org/project/bloom-filter2/
+
+A pure python bloom filter (low storage requirement, probabilistic
+set datastructure) is provided.  It is known to work on CPython 2.x,
+CPython 3.x, Pypy and Jython.
+
+Includes mmap, in-memory and disk-seek backends.
+
+The user specifies the desired maximum number of elements and the
+desired maximum false positive probability, and the module
+calculates the rest.
+
+Usage:
+
+::
+
+    from bloom_filter import BloomFilter
+
+    # instantiate BloomFilter with custom settings,
+    # max_elements is how many elements you expect the filter to hold.
+    # error_rate defines accuracy; You can use defaults with
+    # `BloomFilter()` without any arguments. Following example
+    # is same as defaults:
+    bloom = BloomFilter(max_elements=10000, error_rate=0.1)
+
+    # Test whether the bloom-filter has seen a key:
+    assert "test-key" in bloom is False
+
+    # Mark the key as seen
+    bloom.add("test-key")
+
+    # Now check again
+    assert "test-key" in bloom is True
+    
+
+
+
+
+%package help
+Summary:	Development documents and examples for bloom-filter
+Provides:	python3-bloom-filter-doc
+%description help
+Note: This project has gone unmaintained for a while,
+please use the more up-to-date project at: 
+- https://github.com/remram44/python-bloom-filter
+- https://pypi.org/project/bloom-filter2/
+
+A pure python bloom filter (low storage requirement, probabilistic
+set datastructure) is provided.  It is known to work on CPython 2.x,
+CPython 3.x, Pypy and Jython.
+
+Includes mmap, in-memory and disk-seek backends.
+
+The user specifies the desired maximum number of elements and the
+desired maximum false positive probability, and the module
+calculates the rest.
+
+Usage:
+
+::
+
+    from bloom_filter import BloomFilter
+
+    # instantiate BloomFilter with custom settings,
+    # max_elements is how many elements you expect the filter to hold.
+    # error_rate defines accuracy; You can use defaults with
+    # `BloomFilter()` without any arguments. Following example
+    # is same as defaults:
+    bloom = BloomFilter(max_elements=10000, error_rate=0.1)
+
+    # Test whether the bloom-filter has seen a key:
+    assert "test-key" in bloom is False
+
+    # Mark the key as seen
+    bloom.add("test-key")
+
+    # Now check again
+    assert "test-key" in bloom is True
+    
+
+
+
+
+%prep
+%autosetup -n bloom-filter-1.3.3
+
+%build
+%py3_build
+
+%install
+%py3_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
+if [ -d usr/lib64 ]; then
+	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
+fi
+if [ -d usr/sbin ]; then
+	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
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-bloom-filter -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..a349c4e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+661086ea219a9254146322e0cb9981a5  bloom_filter-1.3.3.tar.gz