--- /tmp/rebuilderdTRf5LM/inputs/r-bioc-scran_1.34.0+dfsg-3_riscv64.deb +++ /tmp/rebuilderdTRf5LM/out/r-bioc-scran_1.34.0+dfsg-3_riscv64.deb ├── file list │ @@ -1,3 +1,3 @@ │ -rw-r--r-- 0 0 0 4 2025-01-21 13:16:57.000000 debian-binary │ --rw-r--r-- 0 0 0 1872 2025-01-21 13:16:57.000000 control.tar.xz │ +-rw-r--r-- 0 0 0 1796 2025-01-21 13:16:57.000000 control.tar.xz │ -rw-r--r-- 0 0 0 1012284 2025-01-21 13:16:57.000000 data.tar.xz ├── control.tar.xz │ ├── control.tar │ │ ├── file list │ │ │ @@ -1,3 +1,3 @@ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2025-01-21 13:16:57.000000 ./ │ │ │ --rw-r--r-- 0 root (0) root (0) 1412 2025-01-21 13:16:57.000000 ./control │ │ │ +-rw-r--r-- 0 root (0) root (0) 1190 2025-01-21 13:16:57.000000 ./control │ │ │ -rw-r--r-- 0 root (0) root (0) 2416 2025-01-21 13:16:57.000000 ./md5sums │ │ ├── ./control │ │ │ @@ -1,14 +1,14 @@ │ │ │ Package: r-bioc-scran │ │ │ Version: 1.34.0+dfsg-3 │ │ │ Architecture: riscv64 │ │ │ Maintainer: Debian R Packages Maintainers │ │ │ Installed-Size: 1336 │ │ │ Depends: r-api-4.0, r-api-bioc-3.20, r-bioc-singlecellexperiment, r-bioc-scuttle, r-bioc-summarizedexperiment, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-biocparallel, r-cran-rcpp, r-cran-matrix, r-bioc-edger, r-bioc-limma, r-cran-igraph, r-cran-statmod, r-bioc-matrixgenerics, r-bioc-s4arrays, r-bioc-delayedarray, r-bioc-biocsingular, r-bioc-bluster, r-bioc-metapod, r-cran-dqrng, r-bioc-beachmat, r-cran-bh, libc6 (>= 2.27), libgcc-s1 (>= 3.4), liblapack3 | liblapack.so.3, libstdc++6 (>= 14) │ │ │ -Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-delayedmatrixstats, r-bioc-hdf5array, r-bioc-scrnaseq, r-cran-dynamictreecut, r-bioc-residualmatrix, r-bioc-scaledmatrix, r-bioc-deseq2, r-cran-pheatmap, r-bioc-scater │ │ │ +Suggests: r-bioc-scaledmatrix │ │ │ Section: gnu-r │ │ │ Priority: optional │ │ │ Homepage: https://bioconductor.org/packages/scran/ │ │ │ Description: BioConductor methods for single-cell RNA-Seq data analysis │ │ │ Implements functions for low-level analyses of single-cell RNA-seq data. │ │ │ Methods are provided for normalization of cell-specific biases, │ │ │ assignment of cell cycle phase, detection of highly variable and