2019-07-08 17:32:18 +02:00
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#![cfg_attr(feature = "cargo-clippy", allow(clippy::float_cmp, map_clone))]
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2017-05-30 10:54:14 +02:00
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2019-07-08 16:17:04 +02:00
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use average::assert_almost_eq;
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2017-05-19 15:54:13 +02:00
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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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2019-07-08 16:01:13 +02:00
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use rand_distr::{Normal, Distribution};
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use rand_xoshiro::Xoshiro256StarStar;
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2019-01-18 15:55:37 +01:00
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use rand::SeedableRng;
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2019-07-08 16:01:13 +02:00
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let normal = Normal::new(2.0, 3.0).unwrap();
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2017-05-19 15:54:13 +02:00
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let mut values = Vec::with_capacity(size);
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2019-07-08 16:01:13 +02:00
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let mut rng = Xoshiro256StarStar::seed_from_u64(42);
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2017-05-19 15:54:13 +02:00
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for _ in 0..size {
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2018-07-06 10:31:26 +02:00
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values.push(normal.sample(&mut rng));
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2017-05-19 15:54:13 +02:00
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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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2018-02-27 01:38:45 +01:00
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let a: average::MeanWithError = values.iter().collect();
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2017-05-19 15:54:13 +02:00
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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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2017-05-28 20:30:05 +02:00
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assert_almost_eq!(a.population_variance(), b.variance(), 1e-14);
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2017-05-19 15:54:13 +02:00
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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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2018-02-27 01:38:45 +01:00
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let a: average::MeanWithError = values.iter().collect();
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2017-05-19 15:54:13 +02:00
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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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2018-07-06 10:31:26 +02:00
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assert_almost_eq!(a.population_variance(), b.variance(), 1e-12);
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2017-05-19 15:54:13 +02:00
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}
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