Recommend uv for running the analysis scripts

Replace `println!` calls on the results paths with `writeln!` on
`io::stdout()` and propagate the `io::Error` to `main`, where
`ErrorKind::BrokenPipe` is turned into a quiet `exit(0)`. This matches
the conventional behavior of command-line tools when their output pipe
is closed early (e.g. `hyperfine ... | head -n 0`), and fixes panics in
all run-output paths: the per-benchmark header and results, the speed
comparison summary, and `-`-style exports to stdout. The warnings and
"Note" outputs to stderr are converted the same way.


---------

Co-authored-by: Mathjk <Mathjk@users.noreply.github.com>
Co-authored-by: David Peter <mail@david-peter.de>

.github/workflows/CICD.yml

@@ -79,6 +79,7 @@ jobs:
       matrix:
         job:
           - { target: aarch64-unknown-linux-gnu   , os: ubuntu-24.04, use-cross: true }
+          - { target: aarch64-unknown-linux-musl  , os: ubuntu-24.04, use-cross: true }
           - { target: arm-unknown-linux-gnueabihf , os: ubuntu-24.04, use-cross: true }
           - { target: arm-unknown-linux-musleabihf, os: ubuntu-24.04, use-cross: true }
           - { target: i686-pc-windows-msvc        , os: windows-2022                  }

scripts/README.md

@@ -4,23 +4,14 @@ This folder contains scripts that can be used in combination with hyperfines `--
 
 ```bash
 hyperfine 'sleep 0.020' 'sleep 0.021' 'sleep 0.022' --export-json sleep.json
-./plot_whisker.py sleep.json
+uv run plot_whisker.py sleep.json
 ```
 
 ### Pre-requisites
 
-To make these scripts work, you will need `numpy`, `matplotlib` and `scipy`.
+Install [`uv`](https://docs.astral.sh/uv/getting-started/installation/) and run the
+commands above from this directory.
 
-If you have a Python package manager that understands [PEP-723](https://peps.python.org/pep-0723/)
-inline script requirements like [`uv`](https://github.com/astral-sh/uv) or [`pipx`](https://github.com/pypa/pipx),
-you can directly run the scripts using
-
-```bash
-uv run plot_whisker.py sleep.json
-```
-
-Otherwise, install the dependencies via your system package manager or using `pip`:
-
-```bash
-pip install numpy matplotlib scipy  # pip3, if you are using python3
-```
+The scripts declare their dependencies using [PEP 723](https://peps.python.org/pep-0723/)
+inline script metadata. `uv run` automatically installs these dependencies in an
+isolated environment before running the script.