def get_average_interpoint_R2_distance(self):
""" """
points = self.get_R2_points()
dists = []
for i in range(len(points) - 1):
d = R2.distance(points[i], points[i + 1])
dists.append(d)
return np.median(dists)
def process_compute_distances(processed):
nmap = processed['nmap']
centroid = processed['centroid']
y_goal = processed['y_goal']
processed['p_distance'] = [R2.distance(p, centroid)
for p in nmap.get_R2_points()]
# ... for observations
y_dist = lambda y0, y1: np.linalg.norm(y0 - y1)
processed['y_distance'] = [y_dist(y, y_goal)
for y in nmap.get_all_observations()]
return processed