def generate_map(self, size=75, freq=20, lloyds=2, sigma=3.15, seed=None):
"""Initializes the map and generates the base noise and voronoi diagram"""
# make up data points
size_sqrt = size
size = size**2
# compute Voronoi tesselation
if seed is not None:
np.random.seed(seed)
points = np.random.random((size, 2))
vor = VoronoiDiagram(points)
vor.generate_voronoi()
self.voronoi_diagram = vor.relax_points(lloyds)
regions, vertices = voronoi_finite_polygons_2d(self.voronoi_diagram)
polygons = sorted(clip(points, regions, vertices),
key=lambda x: x[0][0])
polygons_stripped = [[
vert for vert in poly if 0 <= vert[0] <= 1 and 0 <= vert[1] <= 1
] for poly in polygons]
self.polygons = [Polygon(i) for i in polygons_stripped]
# Get noise, turn into 1D array
noise = Perlin(freq, shuffle_seed=seed)
noise_img = noise.create_image(save=True, width=200, height=200)
noise_gauss = noise.gaussian_kernel(noise_img, nsig=sigma)
noise_gauss.save("images/noise.png")
noise_resized = noise_gauss.resize((size_sqrt, size_sqrt))
noise_arr = np.array(noise_resized)
self._generate_base_terrain(noise_arr)
