Thanks for open source

I am investigating a few graph algorithms hence this task. The ASCII diagrams of graphs came from this Perl CPAN module:


Graphviz doesn't do ASCII output so would be difficult to add its output to RC.
--Paddy3118 (talk) 20:31, 10 March 2020 (UTC)

Any tougher problems?

Are there any ready-made problems knocking about which might (frinst) give exhaustive search pause for thought? --Pete Lomax (talk) 22:37, 14 March 2020 (UTC)

If you mean larger data sets you may take a look at here, I haven't tried yet but did take a peek at one sample and it seems ready to be used. Hope this helps. --Hkdtam (talk) 03:39, 15 March 2020 (UTC)
Hmm, 317,080 nodes and 1,049,866 edges (for the example you peeked at) is far more than I would ever have imagined... --Pete Lomax (talk)
317,080 nodes and 1,049,866 edges in 114 colours according to the Python prog. --Paddy3118 (talk) 10:00, 16 March 2020 (UTC)
amazon0601: Directed 403,394 nodes, 3,387,388 edges read in. Needed 11 colours.
Reading the gzip file needed the following changes to the class:
<lang python>from gzip import open as gzopen

class Graph:

   def __init__(self, fname, directed=False): = fname
       g = self.graph = defaultdict(list)  # maps vertex to direct connections
       with (gzopen(fname, 'rt') if fname.endswith('.gz')
             else open(fname)) as f:
           edges = odd = 0
           for n, line in enumerate(f, start=1):
               ln = line.strip().split()
               if ln[0].startswith('#'):
               if len(ln) != 2:
                   odd +=1
               n1, n2 = (int(x) for x in ln)
               if not directed:
                   g[n2].append(n1)    # Each the neighbour of the other
               edges += 1
       print(f"FILE {fname}:\n    #Nodes: {len(g)}\n    #Edges: {edges}")
       print(f"  #(Lines): {n}")
       print(f"    #(Odd): {odd}\n")
--Paddy3118 (talk) 11:42, 16 March 2020 (UTC)
Return to "Graph colouring" page.