From 71b795d9ed49177b66a4004eedc056c18266d248 Mon Sep 17 00:00:00 2001
From: Anders Olsson <anders.e.olsson@gmail.com>
Date: Wed, 27 Oct 2021 11:33:54 +0200
Subject: [PATCH] Use array impl instead of vec

---
 examples/kickscore-basics.rs | 8 ++++----
 examples/nba-history.rs      | 2 +-
 src/utils.rs                 | 1 -
 tests/kickscore-basics.rs    | 2 +-
 tests/nba-history.rs         | 2 +-
 5 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/examples/kickscore-basics.rs b/examples/kickscore-basics.rs
index 6c7b862..9aaee97 100644
--- a/examples/kickscore-basics.rs
+++ b/examples/kickscore-basics.rs
@@ -12,7 +12,7 @@ fn main() {
     let k_tom = ks::kernel::Exponential::new(1.0, 1.0);
 
     // Jerry's skill has a constant offset and smooth dynamics.
-    let k_jerry: Vec<Box<dyn ks::Kernel>> = vec![
+    let k_jerry: [Box<dyn ks::Kernel>; 2] = [
         Box::new(ks::kernel::Constant::new(1.0)),
         Box::new(ks::kernel::Matern52::new(0.5, 1.0)),
     ];
@@ -37,20 +37,20 @@ fn main() {
     model.fit();
 
     // We can predict a future outcome...
-    let (p_win, _p_los) = model.probabilities(&[&"Jerry"], &[&"Tom"], 4.0);
+    let (p_win, _p_los) = model.probabilities(&["Jerry"], &["Tom"], 4.0);
     println!(
         "Chances that Jerry beats Tom at t = 4.0: {:.1}%",
         100.0 * p_win
     );
 
     // ... or simulate what could have happened in the past.
-    let (p_win, _p_los) = model.probabilities(&[&"Jerry"], &[&"Tom"], 2.0);
+    let (p_win, _p_los) = model.probabilities(&["Jerry"], &["Tom"], 2.0);
     println!(
         "Chances that Jerry beats Tom at t = 2.0: {:.1}%",
         100.0 * p_win
     );
 
-    let (p_win, _p_los) = model.probabilities(&[&"Jerry"], &[&"Tom"], -1.0);
+    let (p_win, _p_los) = model.probabilities(&["Jerry"], &["Tom"], -1.0);
     println!(
         "Chances that Jerry beats Tom at t = -1.0: {:.1}%",
         100.0 * p_win
diff --git a/examples/nba-history.rs b/examples/nba-history.rs
index f463724..9e70778 100644
--- a/examples/nba-history.rs
+++ b/examples/nba-history.rs
@@ -57,7 +57,7 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
     let mut model = ks::model::Binary::new(ks::model::binary::Observation::Probit);
 
     for team in teams {
-        let kernel: Vec<Box<dyn ks::Kernel>> = vec![
+        let kernel: [Box<dyn ks::Kernel>; 2] = [
             Box::new(ks::kernel::Constant::new(0.03)),
             Box::new(ks::kernel::Matern32::new(0.138, 1.753 * seconds_in_year)),
         ];
diff --git a/src/utils.rs b/src/utils.rs
index ad8a4f2..a7a4834 100644
--- a/src/utils.rs
+++ b/src/utils.rs
@@ -1,4 +1,3 @@
-use std::cmp::Ordering;
 use std::f64::consts::{PI, SQRT_2, TAU};
 
 use crate::math::erfc;
diff --git a/tests/kickscore-basics.rs b/tests/kickscore-basics.rs
index dcc7f98..e793656 100644
--- a/tests/kickscore-basics.rs
+++ b/tests/kickscore-basics.rs
@@ -11,7 +11,7 @@ fn kickscore_basic() {
 
     let k_tom = ks::kernel::Exponential::new(1.0, 1.0);
 
-    let k_jerry: Vec<Box<dyn ks::Kernel>> = vec![
+    let k_jerry: [Box<dyn ks::Kernel>; 2] = [
         Box::new(ks::kernel::Constant::new(1.0)),
         Box::new(ks::kernel::Matern52::new(0.5, 1.0)),
     ];
diff --git a/tests/nba-history.rs b/tests/nba-history.rs
index 3c67719..96da27f 100644
--- a/tests/nba-history.rs
+++ b/tests/nba-history.rs
@@ -61,7 +61,7 @@ fn nba_history() {
     let mut model = ks::model::Binary::new(ks::model::binary::Observation::Probit);
 
     for team in teams {
-        let kernel: Vec<Box<dyn ks::Kernel>> = vec![
+        let kernel: [Box<dyn ks::Kernel>; 2] = [
             Box::new(ks::kernel::Constant::new(0.03)),
             Box::new(ks::kernel::Matern32::new(0.138, 1.753 * seconds_in_year)),
         ];