Hello,
I have been working with some high school students to create a model of small pox transmission.
I am somewhat new to python (my programming experience is in f77) so I have borrowed parts of Danny's code that he posted for the Game of Life. I have included the code that we are using below.
I have two questions. Once a MxN world is generated how would you search for nearest neighbors (to see who is connected) and then color the '*' so it's easier to see who is connected and who isn't.
For a definition of percolation theory- http://en.wikipedia.org/wiki/Percolation_theory
or for the wolfram fans http://mathworld.wolfram.com/PercolationTheory.html
Thanks,
Ara
CODE STARTS HERE:
print """
Please pick your option:
1) Percolation model for Small Pox
2)
3) Instructions
4) Exit
"""
option = raw_input("Which option[1,2,3,4]? ")
if option == '1':
import random
perc = raw_input("Please enter a thresold between 0-1. ")
perc = float(perc)
###
PERSON, EMPTY = '*', '.'
###
###
def percolation(perc):
randval = random.random()
if randval > perc:
return EMPTY
else:
return PERSON
def make_random_world(M, N):
"""Constructs a new random game world of size MxN."""
world = {}
for j in range(N):
for i in range(M):
world[i, j] = percolation(perc)
world['dimensions'] = (M, N)
return world
def print_world(world):
"""Prints out a string representation of a world."""
M, N = world['dimensions']
for j in range(N):
for i in range(M):
print world[i, j],
print
n = int(raw_input("Please enter a n dimension. "))
m = int(raw_input("Please enter a m dimension. "))
raw_input("Press return to make a world")
print_world(make_random_world(n,m))
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