# Generated by go2rpm
%bcond_without check

# https://github.com/retailnext/hllpp
%global goipath         github.com/retailnext/hllpp
Version:                1.0.0

%gometa

%global common_description %{expand:
Hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm
in Go. It optimizes for memory usage over CPU usage. It implements all the
HyperLogLog optimizations introduced in the HyperLogLog++ paper
(http://goo.gl/Z5Sqgu). Some notable features include:

 - marshaling so you can serialize to your datastore
 - extra space savings by only using 5 bits per register when possible
 - built-in non-streaming murmur3 implementation for fast hashing of input data}

%global golicenses      LICENSE
%global godocs          README.md

Name:           %{goname}
Release:        1%{?dist}
Summary:        Hyperloglog cardinality estimation algorithm in Go

# Upstream license specification: BSD-3-Clause
License:        BSD
URL:            %{gourl}
Source0:        %{gosource}

%description
%{common_description}

%gopkg

%prep
%goprep

%install
%gopkginstall

%if %{with check}
%check
%gocheck
%endif

%gopkgfiles

%changelog
* Mon Apr 29 14:58:18 CEST 2019 Robert-André Mauchin <zebob.m@gmail.com> - 1.0.0-1
- Initial package