collect grids instead

src/agent.rs

@@ -1,3 +1,4 @@
+use crate::grid::PopulationConfig;
 use crate::{buffer::Buf, util::wrap};
 use fastapprox::faster::{cos, sin};
 use rand::prelude::IndexedRandom;
@@ -31,26 +32,17 @@ impl Agent {
     }
 
     /// Tick an agent
-    pub fn tick(
-        &mut self,
-        buf: &Buf,
-        sensor_distance: f32,
-        sensor_angle: f32,
-        rotation_angle: f32,
-        step_distance: f32,
-        width: usize,
-        height: usize,
-    ) {
-        let xc = self.x + cos(self.heading) * sensor_distance;
-        let yc = self.y + sin(self.heading) * sensor_distance;
+    pub fn tick(&mut self, buf: &Buf, pop_config: PopulationConfig, width: usize, height: usize) {
+        let xc = self.x + cos(self.heading) * pop_config.sensor_distance;
+        let yc = self.y + sin(self.heading) * pop_config.sensor_distance;
 
-        let agent_add_sens = self.heading + sensor_angle;
-        let agent_sub_sens = self.heading - sensor_angle;
+        let agent_add_sens = self.heading + pop_config.sensor_angle;
+        let agent_sub_sens = self.heading - pop_config.sensor_angle;
 
-        let xl = self.x + cos(agent_sub_sens) * sensor_distance;
-        let yl = self.y + sin(agent_sub_sens) * sensor_distance;
-        let xr = self.x + cos(agent_add_sens) * sensor_distance;
-        let yr = self.y + sin(agent_add_sens) * sensor_distance;
+        let xl = self.x + cos(agent_sub_sens) * pop_config.sensor_distance;
+        let yl = self.y + sin(agent_sub_sens) * pop_config.sensor_distance;
+        let xr = self.x + cos(agent_add_sens) * pop_config.sensor_distance;
+        let yr = self.y + sin(agent_add_sens) * pop_config.sensor_distance;
 
         // We sense from the buffer because this is where we previously combined data from all the grid.
         let center = buf.get_buf(xc, yc);
@@ -72,10 +64,16 @@ impl Agent {
             0.0
         };
 
-        let delta_angle = rotation_angle * direction;
+        let delta_angle = pop_config.rotation_angle * direction;
 
         self.heading = wrap(self.heading + delta_angle, TAU);
-        self.x = wrap(self.x + step_distance * cos(self.heading), width as f32);
-        self.y = wrap(self.y + step_distance * sin(self.heading), height as f32);
+        self.x = wrap(
+            self.x + pop_config.step_distance * cos(self.heading),
+            width as f32,
+        );
+        self.y = wrap(
+            self.y + pop_config.step_distance * sin(self.heading),
+            height as f32,
+        );
     }
 }

src/grid.rs

@@ -7,10 +7,10 @@ use std::fmt::{Display, Formatter};
 /// A population configuration.
 #[derive(Debug, Clone, Copy)]
 pub struct PopulationConfig {
-    sensor_distance: f32,
-    step_distance: f32,
-    sensor_angle: f32,
-    rotation_angle: f32,
+    pub sensor_distance: f32,
+    pub step_distance: f32,
+    pub sensor_angle: f32,
+    pub rotation_angle: f32,
 
     deposition_amount: f32,
 }
@@ -90,25 +90,8 @@ impl Grid {
     }
 
     pub fn tick(&mut self) {
-        let (width, height) = (self.width, self.height);
-        let PopulationConfig {
-            sensor_distance,
-            sensor_angle,
-            rotation_angle,
-            step_distance,
-            ..
-        } = self.config;
-
         self.agents.par_iter_mut().for_each(|agent| {
-            agent.tick(
-                &self.buf,
-                sensor_distance,
-                sensor_angle,
-                rotation_angle,
-                step_distance,
-                width,
-                height,
-            );
+            agent.tick(&self.buf, self.config, self.width, self.height);
         });
         self.deposit_all();
     }
@@ -131,11 +114,14 @@ where
     // We mutate grid buffers and read grid data. We use unsafe because we need shared/unique borrows on different fields of the same Grid struct.
     bufs.iter().enumerate().for_each(|(i, buf)| {
         let buf_ptr = *buf as *const Vec<f32> as *mut Vec<f32>;
-        unsafe { buf_ptr.as_mut() }.unwrap().fill(0.0);
+        // SAFETY! we can take these are raw pointers because we are
+        // getting it from a `&mut [Grid]`
+        let buf_ptr_mut = unsafe { buf_ptr.as_mut().unwrap_unchecked() };
+
+        buf_ptr_mut.fill(0.0);
         datas.iter().enumerate().for_each(|(j, other)| {
             let multiplier = attraction_table[i].as_ref()[j];
-            unsafe { buf_ptr.as_mut() }
-                .unwrap()
+            buf_ptr_mut
                 .iter_mut()
                 .zip(*other)
                 .for_each(|(to, from)| *to += from * multiplier)

src/model.rs

@@ -57,28 +57,32 @@ impl Model {
 
         let attraction_distr =
             Normal::new(Self::ATTRACTION_FACTOR_MEAN, Self::ATTRACTION_FACTOR_STD).unwrap();
-        let repulstion_distr =
+        let repulsion_distr =
             Normal::new(Self::REPULSION_FACTOR_MEAN, Self::REPULSION_FACTOR_STD).unwrap();
 
         let mut attraction_table = Vec::with_capacity(n_populations);
         for i in 0..n_populations {
             attraction_table.push(Vec::with_capacity(n_populations));
             for j in 0..n_populations {
-                attraction_table[i].push(if i == j {
-                    attraction_distr.sample(&mut rng)
+                attraction_table[i].push(
+                    if i == j {
+                        &attraction_distr
                     } else {
-                    repulstion_distr.sample(&mut rng)
-                });
+                        &repulsion_distr
+                    }
+                    .sample(&mut rng),
+                );
             }
         }
 
-        let mut grids: Vec<Grid> = Vec::new();
-        for _ in 0..n_populations {
+        let grids = (0..n_populations)
+            .map(|_| {
                 let agents = (0..particles_per_grid)
                     .map(|_| Agent::new(width, height, &mut rng))
                     .collect();
-            grids.push(Grid::new(width, height, &mut rng, agents));
-        }
+                Grid::new(width, height, &mut rng, agents)
+            })
+            .collect();
 
         Model {
             population_grids: grids,