Implements ChoiceQueue::move_pokemon_choice_next, micro optimization for BattleRandom::EffectChance.

src/dynamic_data/flow/choice_queue.rs

@@ -50,8 +50,36 @@ impl ChoiceQueue {
     }
 
     /// This moves the choice of a specific Pokemon up to the next choice to be executed.
-    pub fn move_pokemon_choice_next(&mut self, _pokemon: &Pokemon) {
-        todo!()
+    pub fn move_pokemon_choice_next(&mut self, pokemon: &Pokemon) {
+        let mut desired_index = None;
+        // Find the index for the choice we want to move up.
+        for index in self.current..self.queue.len() {
+            if let Some(choice) = &self.queue[index] {
+                if std::ptr::eq(choice.user().as_ref(), pokemon) {
+                    desired_index = Some(index);
+                    break;
+                }
+            }
+        }
+        // If we couldn't find a choice, we can't execute, return.
+        if desired_index.is_none() {
+            return;
+        }
+        let desired_index = desired_index.unwrap();
+        // If the choice we want to move up is already the next choice, just return.
+        if desired_index == self.current {
+            return;
+        }
+
+        // Take the choice we want to move forward out of it's place.
+        let choice = self.queue[desired_index].take().unwrap();
+        // Iterate backwards from the spot before the choice we want to move up, push them all back
+        // by 1 spot.
+        for index in (desired_index - 1)..self.current {
+            self.queue.swap(index, index + 1);
+        }
+        // Place the choice that needs to be next in the next to be executed position.
+        let _ = self.queue[self.current].insert(choice);
     }
 
     /// Internal helper function to be easily able to iterate over the yet to be executed choices.

src/dynamic_data/models/battle_random.rs

@@ -67,7 +67,15 @@ impl BattleRandom {
             hit_number,
             &mut chance
         );
+        if chance < 100.0 {
+            if chance > 0.0 {
                 self.get_rng().lock().unwrap().get_float() < (chance / 100.0)
+            } else {
+                false
+            }
+        } else {
+            true
+        }
     }
 }