Update benchmarks
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@ -40,6 +40,7 @@ version = "0.3"
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[dev-dependencies]
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bencher = "0.1"
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rand = "0.6"
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rand_xoshiro = "0.1"
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serde_json = "1"
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streaming-stats = "0.2"
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quantiles = "0.7"
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@ -2,6 +2,7 @@
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#[macro_use] extern crate bencher;
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extern crate rand;
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extern crate rand_xoshiro;
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extern crate average;
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@ -10,12 +11,13 @@ use bencher::Bencher;
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/// Create a random vector by sampling from a normal distribution.
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fn initialize_vec() -> Vec<f64> {
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use rand::distributions::{Normal, Distribution};
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use rand::{XorShiftRng, SeedableRng};
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use rand::SeedableRng;
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let normal = Normal::new(2.0, 3.0);
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let n = 1_000_000;
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let mut values = Vec::with_capacity(n);
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let mut rng = XorShiftRng::from_seed(
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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]);
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let mut rng = rand_xoshiro::Xoshiro256StarStar::from_seed(
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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
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17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]);
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for _ in 0..n {
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values.push(normal.sample(&mut rng));
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}
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@ -2,6 +2,7 @@
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#[macro_use] extern crate bencher;
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extern crate rand;
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extern crate rand_xoshiro;
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extern crate average;
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extern crate stats;
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@ -11,12 +12,13 @@ use bencher::Bencher;
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/// Create a random vector by sampling from a normal distribution.
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fn initialize_vec() -> Vec<f64> {
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use rand::distributions::{Normal, Distribution};
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use rand::{XorShiftRng, SeedableRng};
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use rand::SeedableRng;
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let normal = Normal::new(2.0, 3.0);
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let n = 1_000_000;
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let mut values = Vec::with_capacity(n);
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let mut rng = XorShiftRng::from_seed(
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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]);
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let mut rng = rand_xoshiro::Xoshiro256StarStar::from_seed(
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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
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17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]);
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for _ in 0..n {
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values.push(normal.sample(&mut rng));
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}
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@ -2,6 +2,7 @@
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#[macro_use] extern crate bencher;
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extern crate rand;
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extern crate rand_xoshiro;
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extern crate average;
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extern crate stats;
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@ -10,13 +11,14 @@ use bencher::Bencher;
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/// Create a random vector of random floats in [0, 1].
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fn initialize_vec() -> Vec<f64> {
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use rand::distributions::{Range, Distribution};
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use rand::{XorShiftRng, SeedableRng};
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let range = Range::new(0.0, 1.0);
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use rand::distributions::{Uniform, Distribution};
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use rand::SeedableRng;
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let range = Uniform::new(0.0, 1.0);
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let n = 1_000_000;
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let mut values = Vec::with_capacity(n);
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let mut rng = XorShiftRng::from_seed(
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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]);
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let mut rng = rand_xoshiro::Xoshiro256StarStar::from_seed(
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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
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17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]);
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for _ in 0..n {
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values.push(range.sample(&mut rng));
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}
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