%global _empty_manifest_terminate_build 0
Name:		python-jaccard-index
Version:	0.0.3
Release:	1
Summary:	Jaccard Index for Two Strings
License:	MIT License
URL:		https://github.com/aniruddhadave/jaccard_index
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/51/e8/ba9b2e28b7ddee139606d27a314a6baef7f2212a8123a2853216a231d5e6/jaccard_index-0.0.3.tar.gz
BuildArch:	noarch


%description
# jaccard_index
Jaccard Index Computation

This package provides computation Jaccard Index based on n-grams for strings. This can be used as a metric for computing similarity between two strings e.g. Indentity resolution

## Installation

Install using pip:
```
#  pip install jaccard-index 
```
To install using the archive, unpack it and run:
```
# python setup.py install
```

## Usage

A common use case is to compare strings for similarity:
```
>>> from jaccard_index.jaccard import jaccard_index
>>> jaccard_index("abc","")
0
>>> jaccard_index("accessary", "accessory")
0.6
>>> jaccard_index("coffee", "coffee")
1
```



%package -n python3-jaccard-index
Summary:	Jaccard Index for Two Strings
Provides:	python-jaccard-index
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-jaccard-index
# jaccard_index
Jaccard Index Computation

This package provides computation Jaccard Index based on n-grams for strings. This can be used as a metric for computing similarity between two strings e.g. Indentity resolution

## Installation

Install using pip:
```
#  pip install jaccard-index 
```
To install using the archive, unpack it and run:
```
# python setup.py install
```

## Usage

A common use case is to compare strings for similarity:
```
>>> from jaccard_index.jaccard import jaccard_index
>>> jaccard_index("abc","")
0
>>> jaccard_index("accessary", "accessory")
0.6
>>> jaccard_index("coffee", "coffee")
1
```



%package help
Summary:	Development documents and examples for jaccard-index
Provides:	python3-jaccard-index-doc
%description help
# jaccard_index
Jaccard Index Computation

This package provides computation Jaccard Index based on n-grams for strings. This can be used as a metric for computing similarity between two strings e.g. Indentity resolution

## Installation

Install using pip:
```
#  pip install jaccard-index 
```
To install using the archive, unpack it and run:
```
# python setup.py install
```

## Usage

A common use case is to compare strings for similarity:
```
>>> from jaccard_index.jaccard import jaccard_index
>>> jaccard_index("abc","")
0
>>> jaccard_index("accessary", "accessory")
0.6
>>> jaccard_index("coffee", "coffee")
1
```



%prep
%autosetup -n jaccard-index-0.0.3

%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-jaccard-index -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.3-1
- Package Spec generated