e4345f5046
This allows to write
let k: Kurtosis = a.iter().collect();
instead of
let k: Kurtosis = a.iter().map(|x| *x).collect();
but breaks type inference for code like
let m: Min = (1..6).map(Into::into).collect();
where
let m: Min = (1..6).map(f64::from).collect();
has to be used instead.
Fixes #8.
38 lines
1.2 KiB
Rust
38 lines
1.2 KiB
Rust
#![cfg_attr(feature = "cargo-clippy", allow(float_cmp, map_clone))]
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#[macro_use] extern crate average;
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extern crate rand;
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extern crate stats;
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/// Create a random vector by sampling from a normal distribution.
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fn initialize_vec(size: usize) -> Vec<f64> {
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use rand::distributions::{Normal, IndependentSample};
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use rand::{XorShiftRng, SeedableRng};
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let normal = Normal::new(2.0, 3.0);
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let mut values = Vec::with_capacity(size);
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let mut rng = XorShiftRng::from_seed([1, 2, 3, 4]);
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for _ in 0..size {
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values.push(normal.ind_sample(&mut rng));
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}
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values
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}
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#[test]
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fn average_vs_streaming_stats_small() {
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let values = initialize_vec(100);
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let a: average::MeanWithError = values.iter().collect();
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let b: stats::OnlineStats = values.iter().map(|x| *x).collect();
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assert_almost_eq!(a.mean(), b.mean(), 1e-16);
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assert_almost_eq!(a.population_variance(), b.variance(), 1e-14);
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}
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#[test]
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fn average_vs_streaming_stats_large() {
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let values = initialize_vec(1_000_000);
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let a: average::MeanWithError = values.iter().collect();
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let b: stats::OnlineStats = values.iter().map(|x| *x).collect();
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assert_almost_eq!(a.mean(), b.mean(), 1e-16);
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assert_almost_eq!(a.population_variance(), b.variance(), 1e-13);
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}
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