flocking examples - CPU bound and GPU bound

crates/processing_pyo3/examples/flocking.py

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+# Flocking
+#
+# Ported from Dan Schiffman's Flocking
+#
+# An implementation of Craig Reynold's Boids program to simulate
+# the flocking behavior of birds. Each boid steers itself based on
+# rules of avoidance, alignment, and coherence.
+#
+# Click the mouse to add a new boid.
+from mewnala import *
+
+flock = None
+
+
+def setup():
+    global flock
+    size(640, 360)
+    flock = Flock()
+    # Add an initial set of boids into the system
+    for i in range(150):
+        flock.add_boid(Boid(width / 2, height / 2))
+
+
+def draw():
+    background(50)
+    flock.run()
+
+
+# Add a new boid into the System
+def mouse_pressed():
+    flock.add_boid(Boid(mouse_x, mouse_y))
+
+
+# The Flock (a list of Boid objects)
+class Flock:
+    def __init__(self):
+        self.boids = []  # A list for all the boids
+
+    def run(self):
+        for b in self.boids:
+            b.run(self.boids)  # Passing the entire list of boids to each boid individually
+
+    def add_boid(self, b):
+        self.boids.append(b)
+
+
+# The Boid class
+class Boid:
+    def __init__(self, x, y):
+        self.acceleration = Vec2(0, 0)
+        self.velocity = Vec2.random()
+        self.position = Vec2(x, y)
+        self.r = 2.0
+        self.maxspeed = 2.0  # Maximum speed
+        self.maxforce = 0.03  # Maximum steering force
+
+    def run(self, boids):
+        self.flock(boids)
+        self.update()
+        self.borders()
+        self.render()
+
+    def apply_force(self, force):
+        # We could add mass here if we want A = F / M
+        self.acceleration.add(force)
+
+    # We accumulate a new acceleration each time based on three rules
+    def flock(self, boids):
+        sep = self.separate(boids)  # Separation
+        ali = self.align(boids)     # Alignment
+        coh = self.cohesion(boids)  # Cohesion
+        # Arbitrarily weight these forces
+        sep.mult(1.5)
+        ali.mult(1.0)
+        coh.mult(1.0)
+        # Add the force vectors to acceleration
+        self.apply_force(sep)
+        self.apply_force(ali)
+        self.apply_force(coh)
+
+    # Method to update position
+    def update(self):
+        # Update velocity
+        self.velocity.add(self.acceleration)
+        # Limit speed
+        self.velocity.limit(self.maxspeed)
+        self.position.add(self.velocity)
+        # Reset acceleration to 0 each cycle
+        self.acceleration.mult(0)
+
+    # A method that calculates and applies a steering force towards a target
+    # STEER = DESIRED MINUS VELOCITY
+    def seek(self, target):
+        desired = target - self.position  # A vector pointing from the position to the target
+        # Scale to maximum speed
+        desired.set_mag(self.maxspeed)
+
+        # Steering = Desired minus Velocity
+        steer = desired - self.velocity
+        steer.limit(self.maxforce)  # Limit to maximum steering force
+        return steer
+
+    def render(self):
+        # Draw a triangle rotated in the direction of velocity
+        theta = self.velocity.heading() + HALF_PI
+
+        fill(200, 100)
+        stroke(255)
+        push_matrix()
+        translate(self.position.x, self.position.y)
+        rotate(theta)
+        begin_shape(TRIANGLES)
+        vertex(0, -self.r * 2)
+        vertex(-self.r, self.r * 2)
+        vertex(self.r, self.r * 2)
+        end_shape()
+        pop_matrix()
+
+    # Wraparound
+    def borders(self):
+        if self.position.x < -self.r:
+            self.position.x = width + self.r
+        if self.position.y < -self.r:
+            self.position.y = height + self.r
+        if self.position.x > width + self.r:
+            self.position.x = -self.r
+        if self.position.y > height + self.r:
+            self.position.y = -self.r
+
+    # Separation
+    # Method checks for nearby boids and steers away
+    def separate(self, boids):
+        desired_separation = 25.0
+        steer = Vec2(0, 0)
+        count = 0
+        # For every boid in the system, check if it's too close
+        for other in boids:
+            d = self.position.dist(other.position)
+            # If the distance is greater than 0 and less than an arbitrary amount (0 when you are yourself)
+            if 0 < d < desired_separation:
+                # Calculate vector pointing away from neighbor
+                diff = (self.position - other.position).normalize()
+                diff.div(d)  # Weight by distance
+                steer.add(diff)
+                count += 1  # Keep track of how many
+        # Average -- divide by how many
+        if count > 0:
+            steer.div(count)
+
+        # As long as the vector is greater than 0
+        if steer.mag() > 0:
+            # Implement Reynolds: Steering = Desired - Velocity
+            steer.set_mag(self.maxspeed)
+            steer.sub(self.velocity)
+            steer.limit(self.maxforce)
+        return steer
+
+    # Alignment
+    # For every nearby boid in the system, calculate the average velocity
+    def align(self, boids):
+        neighbor_dist = 50.0
+        sum = Vec2(0, 0)
+        count = 0
+        for other in boids:
+            d = self.position.dist(other.position)
+            if 0 < d < neighbor_dist:
+                sum.add(other.velocity)
+                count += 1
+        if count > 0:
+            sum.div(count)
+            # Implement Reynolds: Steering = Desired - Velocity
+            sum.set_mag(self.maxspeed)
+            steer = sum - self.velocity
+            steer.limit(self.maxforce)
+            return steer
+        else:
+            return Vec2(0, 0)
+
+    # Cohesion
+    # For the average position (i.e. center) of all nearby boids, calculate steering vector towards that position
+    def cohesion(self, boids):
+        neighbor_dist = 50.0
+        sum = Vec2(0, 0)  # Start with empty vector to accumulate all positions
+        count = 0
+        for other in boids:
+            d = self.position.dist(other.position)
+            if 0 < d < neighbor_dist:
+                sum.add(other.position)  # Add position
+                count += 1
+        if count > 0:
+            sum.div(count)
+            return self.seek(sum)  # Steer towards the position
+        else:
+            return Vec2(0, 0)
+
+
+run()