%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname charisma %global packver 1.0.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.0 Release: 1%{?dist}%{?buildtag} Summary: Reproducible Color Characterization of Digital Images for Biological Studies License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 4.0.0 Requires: R-core >= 4.0.0 BuildArch: noarch BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-plyr BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-tidyr BuildRequires: R-parallel BuildRequires: R-CRAN-recolorize BuildRequires: R-CRAN-imager BuildRequires: R-CRAN-abind BuildRequires: R-CRAN-jpeg BuildRequires: R-CRAN-png BuildRequires: R-grDevices BuildRequires: R-graphics BuildRequires: R-stats BuildRequires: R-tools BuildRequires: R-utils Requires: R-CRAN-magrittr Requires: R-CRAN-plyr Requires: R-CRAN-dplyr Requires: R-CRAN-tibble Requires: R-CRAN-purrr Requires: R-CRAN-tidyr Requires: R-parallel Requires: R-CRAN-recolorize Requires: R-CRAN-imager Requires: R-CRAN-abind Requires: R-CRAN-jpeg Requires: R-CRAN-png Requires: R-grDevices Requires: R-graphics Requires: R-stats Requires: R-tools Requires: R-utils %description Provides a standardized and reproducible framework for characterizing and classifying discrete color classes from digital images of biological organisms. The package automatically determines the presence or absence of 10 human-visible color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow) using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space. Supports both fully automated and semi-automated (interactive) workflows with complete provenance tracking for reproducibility. Pre-processes images using the 'recolorize' package (Weller et al. 2024 ) for spatial-color binning, and integrates with 'pavo' (Maia et al. 2019 ) for color pattern geometry statistics. Designed for high-throughput analysis and seamless integration with downstream evolutionary analyses. %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}