%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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.3-1
- Package Spec generated