Below is the syntax highlighted version of selfavoid.py
from §1.4 Arrays.
#----------------------------------------------------------------------- # selfavoid.py #----------------------------------------------------------------------- import stdio import stdarray import sys import random # Accept integers n and trialCount as command-line arguments. Do # trialCount random self-avoiding walks in an n-by-n lattice. # Write to standard output the percentage of dead ends encountered. n = int(sys.argv[1]) trials = int(sys.argv[2]) deadEnds = 0 for t in range(trials): # Create an n-by-n array, with all elements set to False. a = stdarray.create2D(n, n, False) x = n//2 y = n//2 while (x > 0) and (x < n-1) and (y > 0) and (y < n-1): # Check for dead end and make a random move. a[x][y] = True if a[x-1][y] and a[x+1][y] and a[x][y-1] and a[x][y+1]: deadEnds += 1 break r = random.randrange(1, 5) if (r == 1) and (not a[x+1][y]): x += 1 elif (r == 2) and (not a[x-1][y]): x -= 1 elif (r == 3) and (not a[x][y+1]): y += 1 elif (r == 4) and (not a[x][y-1]): y -= 1 stdio.writeln(str(100*deadEnds//trials) + '% dead ends') #----------------------------------------------------------------------- # python selfavoid.py 5 100 # 0% dead ends # python selfavoid.py 20 100 # 27% dead ends # python selfavoid.py 40 100 # 80% dead ends # python selfavoid.py 80 100 # 96% dead ends # python selfavoid.py 5 1000 # 0% dead ends # python selfavoid.py 20 1000 # 33% dead ends # python selfavoid.py 40 1000 # 77% dead ends # python selfavoid.py 80 1000 # 98% dead ends