File R-nuggets.spec of Package R-nuggets

# Automatically generated by CRAN2OBS
# 
# Spec file for package nuggets 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
# Copyright (c) 2024 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
# All modifications and additions to the file contributed by third parties 
# remain the property of their copyright owners, unless otherwise agreed 
# upon. The license for this file, and modifications and additions to the 
# file, is the same license as for the pristine package itself (unless the 
# license for the pristine package is not an Open Source License, in which 
# case the license is the MIT License). An "Open Source License" is a 
# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  nuggets 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.3.0 
Release:        0 
Summary:        Extensible Data Pattern Searching Framework 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         nuggets_1.3.0.tar.gz 
Requires:       R-base 
Requires:	R-cli
Requires:	R-Rcpp
Requires:	R-rlang
Requires:	R-tibble
Requires:	R-tidyr
Requires:	R-tidyselect
Requires:	R-testthat
Requires:	R-brio
Requires:	R-callr
Requires:	R-desc
Requires:	R-digest
Requires:	R-evaluate
Requires:	R-jsonlite
Requires:	R-lifecycle
Requires:	R-magrittr
Requires:	R-pkgload
Requires:	R-praise
Requires:	R-processx
Requires:	R-ps
Requires:	R-R6
Requires:	R-waldo
Requires:	R-withr
Requires:	R-fansi
Requires:	R-pillar
Requires:	R-pkgconfig
Requires:	R-vctrs
Requires:	R-dplyr
Requires:	R-glue
Requires:	R-purrr
Requires:	R-stringr
Requires:	R-cpp11
Requires:	R-generics
Requires:	R-utf8
Requires:	R-fs
Requires:	R-pkgbuild
Requires:	R-rprojroot
Requires:	R-stringi
Requires:	R-diffobj
Requires:	R-crayon
 
# %%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-cli
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-rlang
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyr
BuildRequires: 	R-tidyselect
BuildRequires: 	R-testthat
BuildRequires: 	R-brio
BuildRequires: 	R-callr
BuildRequires: 	R-desc
BuildRequires: 	R-digest
BuildRequires: 	R-evaluate
BuildRequires: 	R-jsonlite
BuildRequires: 	R-lifecycle
BuildRequires: 	R-magrittr
BuildRequires: 	R-pkgload
BuildRequires: 	R-praise
BuildRequires: 	R-processx
BuildRequires: 	R-ps
BuildRequires: 	R-R6
BuildRequires: 	R-waldo
BuildRequires: 	R-withr
BuildRequires: 	R-fansi
BuildRequires: 	R-pillar
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-vctrs
BuildRequires: 	R-dplyr
BuildRequires: 	R-glue
BuildRequires: 	R-purrr
BuildRequires: 	R-stringr
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-generics
BuildRequires: 	R-utf8
BuildRequires: 	R-fs
BuildRequires: 	R-pkgbuild
BuildRequires: 	R-rprojroot
BuildRequires: 	R-stringi
BuildRequires: 	R-diffobj
BuildRequires: 	R-crayon
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-arules
Suggests:	R-testthat
Suggests:	R-xml2
%description 
Extensible framework for subgroup discovery (Atzmueller (2015) 
<doi:10.1002/widm.1144>), contrast patterns (Chen (2022) 
<doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong (1999) 
<doi:10.1145/312129.312191>), association rules (Agrawal (1994) 
<https://www.vldb.org/conf/1994/P487.PDF>) and conditional correlations 
(Hájek (1978) <doi:10.1007/978-3-642-66943-9>). Both crisp (Boolean, 
binary) and fuzzy data are supported. It generates conditions in the 
form of elementary conjunctions, evaluates them on a dataset and checks 
the induced sub-data for interesting statistical properties. A 
user-defined function may be defined to evaluate on each generated 
condition to search for custom patterns. 
 
%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} 
%{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog