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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
commit | 36d22d82aa202bb199967e9512281e9a53db42c9 (patch) | |
tree | 105e8c98ddea1c1e4784a60a5a6410fa416be2de /third_party/rust/itertools/examples/iris.rs | |
parent | Initial commit. (diff) | |
download | firefox-esr-upstream.tar.xz firefox-esr-upstream.zip |
Adding upstream version 115.7.0esr.upstream/115.7.0esrupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/rust/itertools/examples/iris.rs')
-rw-r--r-- | third_party/rust/itertools/examples/iris.rs | 137 |
1 files changed, 137 insertions, 0 deletions
diff --git a/third_party/rust/itertools/examples/iris.rs b/third_party/rust/itertools/examples/iris.rs new file mode 100644 index 0000000000..987d9e9cba --- /dev/null +++ b/third_party/rust/itertools/examples/iris.rs @@ -0,0 +1,137 @@ +/// +/// This example parses, sorts and groups the iris dataset +/// and does some simple manipulations. +/// +/// Iterators and itertools functionality are used throughout. + +use itertools::Itertools; +use std::collections::HashMap; +use std::iter::repeat; +use std::num::ParseFloatError; +use std::str::FromStr; + +static DATA: &'static str = include_str!("iris.data"); + +#[derive(Clone, Debug)] +struct Iris { + name: String, + data: [f32; 4], +} + +#[derive(Clone, Debug)] +enum ParseError { + Numeric(ParseFloatError), + Other(&'static str), +} + +impl From<ParseFloatError> for ParseError { + fn from(err: ParseFloatError) -> Self { + ParseError::Numeric(err) + } +} + +/// Parse an Iris from a comma-separated line +impl FromStr for Iris { + type Err = ParseError; + + fn from_str(s: &str) -> Result<Self, Self::Err> { + let mut iris = Iris { name: "".into(), data: [0.; 4] }; + let mut parts = s.split(",").map(str::trim); + + // using Iterator::by_ref() + for (index, part) in parts.by_ref().take(4).enumerate() { + iris.data[index] = part.parse::<f32>()?; + } + if let Some(name) = parts.next() { + iris.name = name.into(); + } else { + return Err(ParseError::Other("Missing name")) + } + Ok(iris) + } +} + +fn main() { + // using Itertools::fold_results to create the result of parsing + let irises = DATA.lines() + .map(str::parse) + .fold_ok(Vec::new(), |mut v, iris: Iris| { + v.push(iris); + v + }); + let mut irises = match irises { + Err(e) => { + println!("Error parsing: {:?}", e); + std::process::exit(1); + } + Ok(data) => data, + }; + + // Sort them and group them + irises.sort_by(|a, b| Ord::cmp(&a.name, &b.name)); + + // using Iterator::cycle() + let mut plot_symbols = "+ox".chars().cycle(); + let mut symbolmap = HashMap::new(); + + // using Itertools::group_by + for (species, species_group) in &irises.iter().group_by(|iris| &iris.name) { + // assign a plot symbol + symbolmap.entry(species).or_insert_with(|| { + plot_symbols.next().unwrap() + }); + println!("{} (symbol={})", species, symbolmap[species]); + + for iris in species_group { + // using Itertools::format for lazy formatting + println!("{:>3.1}", iris.data.iter().format(", ")); + } + + } + + // Look at all combinations of the four columns + // + // See https://en.wikipedia.org/wiki/Iris_flower_data_set + // + let n = 30; // plot size + let mut plot = vec![' '; n * n]; + + // using Itertools::tuple_combinations + for (a, b) in (0..4).tuple_combinations() { + println!("Column {} vs {}:", a, b); + + // Clear plot + // + // using std::iter::repeat; + // using Itertools::set_from + plot.iter_mut().set_from(repeat(' ')); + + // using Itertools::minmax + let min_max = |data: &[Iris], col| { + data.iter() + .map(|iris| iris.data[col]) + .minmax() + .into_option() + .expect("Can't find min/max of empty iterator") + }; + let (min_x, max_x) = min_max(&irises, a); + let (min_y, max_y) = min_max(&irises, b); + + // Plot the data points + let round_to_grid = |x, min, max| ((x - min) / (max - min) * ((n - 1) as f32)) as usize; + let flip = |ix| n - 1 - ix; // reverse axis direction + + for iris in &irises { + let ix = round_to_grid(iris.data[a], min_x, max_x); + let iy = flip(round_to_grid(iris.data[b], min_y, max_y)); + plot[n * iy + ix] = symbolmap[&iris.name]; + } + + // render plot + // + // using Itertools::join + for line in plot.chunks(n) { + println!("{}", line.iter().join(" ")) + } + } +} |