# The next script shows how to make an animation of a
# maze being optimized (requires a recent Matplotlib
# and ImageMagick): ::
import os
import networkx as nx
from matplotlib import animation
import matplotlib.pyplot as plt
from vmfactory import Vmaze_NHT
from vmfactory.canvas import stacked_cubes
input_name_format = "_tmp_evograph_%03d.vm"
G = Vmaze_NHT(**stacked_cubes())
G.start, G.goal = 0, max(G.nodes())
G.colorize(G.random_colors())
counter = 0
score = G.score
for i in range(100):
G.improve(100, max(.1, 0.3 * (1 - 1.0 * i / 400.0)))
if G.score != score:
score = G.score
G.to_file(input_name_format % counter)
counter += 1
fig, axes = plt.subplots(1, 3, figsize=(10, 3))
def animate(nframe):
G = Vmaze_NHT.from_file(input_name_format % nframe)
# The next script shows how to make an animation of a
# maze being optimized (requires a recent Matplotlib
# and ImageMagick): ::
import os
import networkx as nx
from matplotlib import animation
import matplotlib.pyplot as plt
from vmfactory import Vmaze_NHT
from vmfactory.canvas import stacked_cubes
input_name_format = "_tmp_evograph_%03d.vm"
G = Vmaze_NHT(** stacked_cubes())
G.start, G.goal = 0, max(G.nodes())
G.colorize( G.random_colors() )
counter = 0
score = G.score
for i in range(100):
G.improve(100,max(.1,0.3*(1-1.0*i/400.0)))
if G.score != score:
score = G.score
G.to_file(input_name_format%counter)
counter += 1
fig, axes = plt.subplots(1,3, figsize=(10,3))
def animate(nframe):
