def evaluate(n, p, trials):
count = 0
for i in range(trials):
# Generate one random network.
isOpen = percolationio.random(n, p)
if (percolationv.percolates(isOpen)):
count += 1
return 1.0 * count / trials
def evaluate(n, p, trials):
count = 0
for i in range(trials):
# Generate one random network.
isOpen = percolationio.random(n, p)
percolation.flow(isOpen)
count += max(percolation.depth_l)
return 1.0 * count / trials
def main():
n = int(sys.argv[1])
p = float(sys.argv[2])
trials = int(sys.argv[3])
for i in range(trials):
isOpen = percolationio.random(n, p)
stddraw.clear()
stddraw.setPenColor(stddraw.BLACK)
percolationio.draw(isOpen, False)
stddraw.setPenColor(stddraw.BLUE)
full = percolation.flow(isOpen)
percolationio.draw(full, True)
stddraw.show(1000.0)
stddraw.show()
def main():
# n = int(sys.argv[1])
# p = float(sys.argv[2])
# trials = int(sys.argv[3])
n = 20
p = .5
trials = 5
for i in range(trials):
isOpen = percolationio.random(n, p)
stddraw.clear()
stddraw.setPenColor(stddraw.BLACK)
stddraw.setPenRadius(0.005)
percolationio.draw(isOpen, True)
stddraw.setPenColor(stddraw.BLUE)
stddraw.setPenRadius(0.05)
full = percolation.flow(isOpen)
percolationio.draw(full, True)
stddraw.show(1000.0)
#print('over')
stddraw.show()
