Using adjacency matrix from text file

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is there a way of altering the python implementation of the FF algorithm (from wikipedia) so that the required details are obtained from a text file?

For example, if I have a text file which stores an adjacency matrix such as:

0, 1, 2
1, 0, 3
2, 3, 0

How would I go about editing the code to obtain these values from the next file rather than hardcoding them, as in the example below?

g=FlowNetwork() 
map(g.add_vertex, ['a','b','c']) 
g.add_edge('a','b',1) 
g.add_edge('a','c',2) 
g.add_edge('b','c',3) 

print g.max_flow('a','c')

I have split the file 'example.txt' using the below code, to obtain the individual entries but I can't figure out how to use this.

 def createNetworkTable():
    with open("example.txt", "r") as txtfile:
      numberOfNodes = 0
      network = []          
      for line in txtfile:          
         numberOfNodes += 1
         line = line.replace("\n","")
         line = line.replace("\r","") 
         chars = line.split(",")
         ints = []
         for char in chars:
             ints.append(int(char))
         network.append(ints)
      txtfile.closed
      return network

Any advice would be helpful

Thanks

asked 33 secs ago

teelos

8