--- /tmp/rebuilderd0MLhNR/inputs/r-cran-surveillance_1.24.1-1_riscv64.deb
+++ /tmp/rebuilderd0MLhNR/out/r-cran-surveillance_1.24.1-1_riscv64.deb
├── file list
│ @@ -1,3 +1,3 @@
│  -rw-r--r--   0        0        0        4 2025-01-29 01:34:32.000000 debian-binary
│ --rw-r--r--   0        0        0     5356 2025-01-29 01:34:32.000000 control.tar.xz
│ +-rw-r--r--   0        0        0     5268 2025-01-29 01:34:32.000000 control.tar.xz
│  -rw-r--r--   0        0        0  5575384 2025-01-29 01:34:32.000000 data.tar.xz
├── control.tar.xz
│ ├── control.tar
│ │ ├── file list
│ │ │ @@ -1,3 +1,3 @@
│ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-01-29 01:34:32.000000 ./
│ │ │ --rw-r--r--   0 root         (0) root         (0)     2976 2025-01-29 01:34:32.000000 ./control
│ │ │ +-rw-r--r--   0 root         (0) root         (0)     2696 2025-01-29 01:34:32.000000 ./control
│ │ │  -rw-r--r--   0 root         (0) root         (0)    12436 2025-01-29 01:34:32.000000 ./md5sums
│ │ ├── ./control
│ │ │ @@ -1,14 +1,14 @@
│ │ │  Package: r-cran-surveillance
│ │ │  Version: 1.24.1-1
│ │ │  Architecture: riscv64
│ │ │  Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
│ │ │  Installed-Size: 6475
│ │ │  Depends: r-api-4.0, r-cran-sp (>= 2.1-4), r-cran-xtable (>= 1.7-0), r-cran-polycub (>= 0.8.0), r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-spatstat.geom, libc6 (>= 2.27), libgcc-s1 (>= 3.0), libstdc++6 (>= 5)
│ │ │ -Recommends: r-cran-gridextra (>= 2.0.0), r-cran-lattice (>= 0.20-44), r-cran-colorspace, r-cran-scales, r-cran-animation, r-cran-msm, r-cran-spc, r-cran-coda, r-cran-spdep, r-cran-numderiv, r-cran-maxlik, r-cran-gsl, r-cran-quadprog, r-cran-memoise, r-cran-polyclip, r-cran-intervals, r-cran-sf, r-cran-tinytest (>= 1.2.4), r-cran-knitr
│ │ │ +Recommends: r-cran-lattice (>= 0.20-44), r-cran-polyclip
│ │ │  Section: gnu-r
│ │ │  Priority: optional
│ │ │  Homepage: https://cran.r-project.org/package=surveillance
│ │ │  Description: GNU R package for the Modeling and Monitoring of Epidemic Phenomena
│ │ │   Statistical methods for the modeling and monitoring of time series of
│ │ │   counts, proportions and categorical data, as well as for the modeling of
│ │ │   continuous-time point processes of epidemic phenomena.