%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  text
%global packver   1.3.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.3.0
Release:          1%{?dist}%{?buildtag}
Summary:          Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.00
Requires:         R-core >= 4.00
BuildArch:        noarch
BuildRequires:    R-CRAN-recipes >= 0.1.16
BuildRequires:    R-CRAN-topics 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-stringi 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-ggrepel 
BuildRequires:    R-CRAN-cowplot 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-parsnip 
BuildRequires:    R-CRAN-rsample 
BuildRequires:    R-CRAN-reticulate 
BuildRequires:    R-CRAN-tune 
BuildRequires:    R-CRAN-workflows 
BuildRequires:    R-CRAN-yardstick 
BuildRequires:    R-CRAN-future 
BuildRequires:    R-CRAN-furrr 
Requires:         R-CRAN-recipes >= 0.1.16
Requires:         R-CRAN-topics 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-stringi 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-ggrepel 
Requires:         R-CRAN-cowplot 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-parsnip 
Requires:         R-CRAN-rsample 
Requires:         R-CRAN-reticulate 
Requires:         R-CRAN-tune 
Requires:         R-CRAN-workflows 
Requires:         R-CRAN-yardstick 
Requires:         R-CRAN-future 
Requires:         R-CRAN-furrr 

%description
Link R with Transformers from Hugging Face to transform text variables to
word embeddings; where the word embeddings are used to statistically test
the mean difference between set of texts, compute semantic similarity
scores between texts, predict numerical variables, and visual
statistically significant words according to various dimensions etc. For
more information see <https://www.r-text.org>.

%prep
%setup -q -c -n %{packname}

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
  sed -i 's@-g0@@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%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
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}