File R-node2vec.spec of Package R-node2vec

# Automatically generated by CRAN2OBS
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# Spec file for package node2vec 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
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%global packname  node2vec 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.1.0 
Release:        0 
Summary:        Algorithmic Framework for Representational Learning on Graphs 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         node2vec_0.1.0.tar.gz 
Requires:       R-base 
Requires:	R-data.table
Requires:	R-igraph
Requires:	R-word2vec
Requires:	R-rlist
Requires:	R-dplyr
Requires:	R-vctrs
Requires:	R-vegan
Requires:	R-cli
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-magrittr
Requires:	R-pillar
Requires:	R-R6
Requires:	R-rlang
Requires:	R-tibble
Requires:	R-tidyselect
Requires:	R-pkgconfig
Requires:	R-cpp11
Requires:	R-yaml
Requires:	R-jsonlite
Requires:	R-XML
Requires:	R-permute
Requires:	R-Rcpp
Requires:	R-RcppProgress
Requires:	R-utf8
Requires:	R-withr
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
# BuildRequires:  tex(ae.sty) 
# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-data.table
BuildRequires: 	R-igraph
BuildRequires: 	R-word2vec
BuildRequires: 	R-rlist
BuildRequires: 	R-dplyr
BuildRequires: 	R-vctrs
BuildRequires: 	R-vegan
BuildRequires: 	R-cli
BuildRequires: 	R-generics
BuildRequires: 	R-glue
BuildRequires: 	R-lifecycle
BuildRequires: 	R-magrittr
BuildRequires: 	R-pillar
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BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-yaml
BuildRequires: 	R-jsonlite
BuildRequires: 	R-XML
BuildRequires: 	R-permute
BuildRequires: 	R-Rcpp-devel
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BuildRequires: 	R-utf8
BuildRequires: 	R-withr
 
%description 
Given any graph, the 'node2vec' algorithm can learn continuous feature 
representations for the nodes, which can then be used for various 
downstream machine learning tasks.The techniques are detailed in the 
paper "node2vec: Scalable Feature Learning for Networks" by Aditya 
Grover, Jure Leskovec(2016),available at <arXiv:1607.00653>. 
 
%prep 
%setup -q -c -n %{packname} 
# the next line is needed, because we build without --clean in between two packages 
rm -rf ~/.R  
 
 
%build 
 
%install 
mkdir -p %{buildroot}%{rlibdir} 
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} 
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) 
rm -f %{buildroot}%{rlibdir}/R.css 
%fdupes -s %{buildroot}%{rlibdir} 
 
#%%check 
#%%{_bindir}/R CMD check %%{packname} 
 
%files 
%dir %{rlibdir}/%{packname} 
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog 
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