Here is a code that I created in python (fairly new to it).
I am trying to make a simulation for biofilms, but before I take it to implementing the actual algorithms (mathematical formulas for growth) and the graphics part i want my code to run in the desired manner. I am facing issues with the for loops in the generation part.
The problem that i am facing is that the growth from generation 1 to 2 ( as per the printed output) is increasing much more than it should. The growth should only go to adjacent rows but in one step it becomes a lot.
There is a matrix on which we call the generate function. Say there are 5 nodes at the start of the loop. Now when we run generate on the first node then lets say 1 node gets added. Now the loop should not run generate on this newly added node in this generation. But it does, which leads to exponential growth.
Please help me identify the problem over here.
The code (in python version 2.7.4):
import math
from random import choice
from copy import deepcopy
width=20
height=20
def checksuround(self,i,j):
memory=0
if(i+1<width and j+1<height and j-1>=0 and i-1>=0):
for m in range(-1,2):
for n in range(-1,2):
if(self[i+m][j+n]==0):
memory=1
if memory==1:
return 1
else:
return 0
#comment
def add(matrix,m,n,sites):
count=0
if(m+1<width and n+1<height and n-1>=0 and m-1>=0):
for q in range(-1,2):
for w in range(-1,2):
if(matrix[m+q][n+w]==0 and count<sites):
matrix[m+q][n+w]='.'
count=count+1
def generate(substrate,self,i,j):
if(i+1<width and j+1<height and j-1>=0 and i-1>=0):
if(substrate[i][j]==1):
pick=[2,3,4,5,6]
add(self,i,j,choice(pick))
else:
add(self,i,j,1)
print "-----------------------------------------------"
print "Basic floor for growth"
grid=[]
for x in range(width):
grid.append([])
for y in range(height):
grid[x].append(0)
for x in range(width):
print
for y in range(height):
print grid[x][y],
print "-----------------------------------------------"
print "Substrate matrix (1 represents sites with favorable growth conditions)"
arr=[0,1,2,3,4,5,6,7]
substrate=[]
for x in range(width):
substrate.append([])
for y in range(height):
substrate[x].append(choice(arr))
for x in range(width):
print
for y in range(height):
print substrate[x][y],
print "-----------------------------------------------"
for x in range(10,12):
for y in range(10,12):
grid[x][y]='.'
for x in range(width):
print
for y in range(height):
print grid[x][y],
print "-----------------------------------------------"
generation=5
undergrid=deepcopy(grid)
flag=0
for g in range(generation):
print "generation : ",g
for x in range(width):
for y in range(height):
flag=checksuround(grid,x,y)
if (grid[x][y]!=0 and flag==1):
generate(substrate,undergrid,x,y)
for x in range(width):
print
for y in range(height):
print undergrid[x][y],
grid=undergrid
print
print "----------------------------------------------"
One output was this: (if the output is not aligned please copy paste the above code and run it, it should work fine)
generation : 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 . . 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 . . . . 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 . . 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
----------------------------------------------
generation : 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 . . 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 . . . . . . 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 . . . . . 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 . . . . 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
----------------------------------------------
generation : 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 . . 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 . . . . . . . . 0 0 0 0 0
0 0 0 0 0 0 0 0 . . . . . . . 0 0 0 0 0
0 0 0 0 0 0 0 0 . . . . . . . 0 0 0 0 0
0 0 0 0 0 0 0 0 . . . . . . . . 0 0 0 0
0 0 0 0 0 0 0 0 . . . . . . . . . 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . . 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . . 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . . 0 0 0
0 0 0 0 0 0 . . . . . . . . . . . 0 0 0
0 0 0 0 0 0 . . . . . . . . . . . 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . 0 0 0 0
0 0 0 0 0 0 0 . . . . . 0 0 0 0 0 0 0 0
----------------------------------------------
generation : 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 . . 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 . . . . . . . . . . 0 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . 0 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . 0 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . . 0 0 0
0 0 0 0 0 0 0 . . . . . . . . . . . . 0
0 0 0 0 0 0 . . . . . . . . . . . . . 0
0 0 0 0 0 . . . . . . . . . . . . . . 0
0 0 0 0 0 . . . . . . . . . . . . . . 0
0 0 0 0 0 . . . . . . . . . . . . . . 0
0 0 0 0 0 . . . . . . . . . . . . . . .
0 0 0 0 0 . . . . . . . . . . . . . . .
0 0 0 0 0 0 . . . . . . . . . . . . . 0
0 0 0 0 0 0 . . . . . . . . . . . . . 0
----------------------------------------------
generation : 4
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 . . . . 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 . . . . . . . . . . . . 0 0 0
0 0 0 0 0 . . . . . . . . . . . . 0 0 0
0 0 0 0 0 0 . . . . . . . . . . . 0 0 0
0 0 0 0 0 0 . . . . . . . . . . . . 0 0
0 0 0 0 0 . . . . . . . . . . . . . . .
0 0 0 0 0 . . . . . . . . . . . . . . .
0 0 0 0 . . . . . . . . . . . . . . . .
0 0 0 0 . . . . . . . . . . . . . . . .
0 0 0 0 . . . . . . . . . . . . . . . .
0 0 0 0 . . . . . . . . . . . . . . . .
0 0 0 0 . . . . . . . . . . . . . . . .
0 0 0 0 . . . . . . . . . . . . . . . .
0 0 0 0 0 . . . . . . . . . . . . . . .
0 0 0 0 0 . . . . . . . . . . . . . . .
----------------------------------------------