Remove warnings and refactor some code

examples/atp.rs

@@ -140,7 +140,7 @@ fn main() {
 
         chart
             .plotting_area()
-            .draw(&Polygon::new(band, &color.mix(0.15)))
+            .draw(&Polygon::new(band, color.mix(0.15)))
             .unwrap();
 
         chart
@@ -152,8 +152,8 @@ fn main() {
 
     chart
         .configure_series_labels()
-        .background_style(&WHITE.mix(0.8))
-        .border_style(&BLACK)
+        .background_style(WHITE.mix(0.8))
+        .border_style(BLACK)
         .draw()
         .unwrap();
 }

src/batch.rs

@@ -81,7 +81,7 @@ impl Event {
             .collect::<Vec<_>>()
     }
 
-    fn within_priors(
+    pub(crate) fn within_priors(
         &self,
         online: bool,
         forward: bool,
@@ -283,26 +283,6 @@ impl Batch {
             .collect::<HashMap<_, _>>()
     }
 
-    // TODO(anders): Remove this function.
-    pub(crate) fn within_priors(
-        &self,
-        event: usize,
-        online: bool,
-        forward: bool,
-        agents: &HashMap<Index, Agent>,
-    ) -> Vec<Vec<Player>> {
-        self.events[event]
-            .teams
-            .iter()
-            .map(|team| {
-                team.items
-                    .iter()
-                    .map(|item| item.within_prior(online, forward, &self.skills, agents))
-                    .collect::<Vec<_>>()
-            })
-            .collect::<Vec<_>>()
-    }
-
     pub(crate) fn iteration(&mut self, from: usize, agents: &HashMap<Index, Agent>) {
         for event in self.events.iter_mut().skip(from) {
             let teams = event.within_priors(false, false, &self.skills, agents);

src/history.rs

@@ -128,12 +128,12 @@ impl History {
         for j in (0..self.batches.len() - 1).rev() {
             for agent in self.batches[j + 1].skills.keys() {
                 self.agents.get_mut(agent).unwrap().message =
-                    self.batches[j + 1].backward_prior_out(agent, &mut self.agents);
+                    self.batches[j + 1].backward_prior_out(agent, &self.agents);
             }
 
             let old = self.batches[j].posteriors();
 
-            self.batches[j].new_backward_info(&mut self.agents);
+            self.batches[j].new_backward_info(&self.agents);
 
             let new = self.batches[j].posteriors();
 
@@ -152,7 +152,7 @@ impl History {
 
             let old = self.batches[j].posteriors();
 
-            self.batches[j].new_forward_info(&mut self.agents);
+            self.batches[j].new_forward_info(&self.agents);
 
             let new = self.batches[j].posteriors();
 
@@ -164,7 +164,7 @@ impl History {
         if self.batches.len() == 1 {
             let old = self.batches[0].posteriors();
 
-            self.batches[0].iteration(0, &mut self.agents);
+            self.batches[0].iteration(0, &self.agents);
 
             let new = self.batches[0].posteriors();
 
@@ -314,7 +314,7 @@ impl History {
                 let b = &mut self.batches[k];
 
                 if k > 0 {
-                    b.new_forward_info(&mut self.agents);
+                    b.new_forward_info(&self.agents);
                 }
 
                 let intersect = this_agent
@@ -363,14 +363,7 @@ impl History {
                     agent.message = b.forward_prior_out(a);
                 }
             } else {
-                let b = Batch::new(
-                    composition,
-                    results,
-                    weights,
-                    t,
-                    self.p_draw,
-                    &mut self.agents,
-                );
+                let b = Batch::new(composition, results, weights, t, self.p_draw, &self.agents);
 
                 self.batches.insert(k, b);
 
@@ -392,7 +385,7 @@ impl History {
         while self.time && self.batches.len() > k {
             let b = &mut self.batches[k];
 
-            b.new_forward_info(&mut self.agents);
+            b.new_forward_info(&self.agents);
 
             let intersect = this_agent
                 .iter()
@@ -463,14 +456,14 @@ mod tests {
 
         let observed = h.batches[1].skills[&a].forward.sigma;
         let gamma: f64 = 0.15 * 25.0 / 3.0;
-        let expected = (gamma.powi(2) + h.batches[0].posterior(a).sigma.powi(2)).sqrt();
+        let expected = (gamma.powi(2) + h.batches[0].skills[&a].posterior().sigma.powi(2)).sqrt();
 
         assert_ulps_eq!(observed, expected, epsilon = 0.000001);
 
         let observed = h.batches[1].posterior(a);
 
         let p = Game::new(
-            h.batches[1].within_priors(0, false, false, &mut h.agents),
+            h.batches[1].events[0].within_priors(false, false, &h.batches[1].skills, &h.agents),
             vec![0.0, 1.0],
             vec![],
             P_DRAW,