2018 edition, and clippy fixes.

Cargo.toml

@@ -2,6 +2,7 @@
 name = "trueskill"
 version = "0.1.0"
 authors = ["Anders Olsson <anders.e.olsson@gmail.com>"]
+edition = "2018"
 
 [dependencies]
 log = "0.4"

src/factor_graph.rs

@@ -2,8 +2,10 @@ use std::collections::HashMap;
 use std::f64;
 use std::ops;
 
-use gaussian::Gaussian;
-use math;
+use log::*;
+
+use crate::gaussian::Gaussian;
+use crate::math;
 
 #[derive(Clone, Copy, Debug, PartialEq)]
 pub struct VariableId {

src/gaussian.rs

@@ -56,6 +56,7 @@ impl ops::Mul<Gaussian> for Gaussian {
     type Output = Gaussian;
 
     fn mul(self, rhs: Gaussian) -> Gaussian {
+        #[allow(clippy::suspicious_arithmetic_impl)]
         Gaussian::from_pi_tau(self.pi + rhs.pi, self.tau + rhs.tau)
     }
 }
@@ -64,6 +65,7 @@ impl ops::Div<Gaussian> for Gaussian {
     type Output = Gaussian;
 
     fn div(self, rhs: Gaussian) -> Gaussian {
+        #[allow(clippy::suspicious_arithmetic_impl)]
         Gaussian::from_pi_tau(self.pi - rhs.pi, self.tau - rhs.tau)
     }
 }

src/lib.rs

@@ -1,22 +1,11 @@
-#[macro_use]
-extern crate log;
-extern crate statrs;
-
-#[cfg(test)]
-#[macro_use]
-extern crate approx;
-
-#[cfg(test)]
-extern crate env_logger;
-
 mod factor_graph;
 mod gaussian;
 mod math;
 mod matrix;
 
-use factor_graph::*;
-use gaussian::Gaussian;
-use matrix::Matrix;
+use crate::factor_graph::*;
+use crate::gaussian::Gaussian;
+use crate::matrix::Matrix;
 
 /// Default initial mean of ratings.
 pub const MU: f64 = 25.0;
@@ -376,7 +365,7 @@ impl Default for TrueSkill {
 
 #[cfg(test)]
 mod tests {
-    use approx::{AbsDiffEq, RelativeEq};
+    use approx::*;
     use env_logger;
 
     use super::*;

src/math.rs

@@ -1,3 +1,5 @@
+#![allow(clippy::unreadable_literal, clippy::excessive_precision)]
+
 use statrs::distribution::{Continuous, Normal, Univariate};
 
 const S2PI: f64 = 2.50662827463100050242_e0;
@@ -99,7 +101,7 @@ fn ndtri(y0: f64) -> f64 {
     };
 
     if y > 0.13533528323661269189 {
-        y = y - 0.5;
+        y -= 0.5;
         let y2 = y * y;
 
         return (y + y * (y2 * polevl(y2, &P0, 4) / p1evl(y2, &Q0, 8))) * S2PI;
@@ -136,10 +138,12 @@ pub fn icdf(x: f64) -> f64 {
 
 #[cfg(test)]
 mod tests {
+    use approx::*;
+
     use super::*;
 
     #[test]
     fn test_cdf() {
-        assert_eq!(cdf(0.5), 0.6914624612740131);
+        assert_relative_eq!(cdf(0.5), 0.6914624612740131);
     }
 }