def communities(ctx):
infile = ctx.obj["infile"]
outdir = ctx.obj["outdir"]
outfile = ctx.obj["outfile"]
two = ctx.obj["two"]
runs = int(ctx.obj["runs"])
best = ctx.obj["best"]
comms = Communities(infile)
comms.compute_n_times(outdir, outfile, two, runs, best)
def communities(ctx):
infile = ctx.obj['infile']
outdir = ctx.obj['outdir']
outfile = ctx.obj['outfile']
two = ctx.obj['two']
runs = int(ctx.obj['runs'])
best = ctx.obj['best']
comms = Communities(infile)
comms.compute_n_times(outdir, outfile, two, runs, best)
def generate_communities(self, two, runs, best):
fname = '%s/metrics.csv' % self.outdir
f = open(fname, 'w')
f.write('per_distance,modularity,ncomms\n')
for per_dist in self.percent_range():
graph_file = self.graph_path(per_dist)
comm = Communities(graph_file)
comm_file = self.comm_path(per_dist, False)
comm_dir = self.comm_path(per_dist, True)
modul, ncomms = comm.compute_n_times(
comm_dir, comm_file, two, runs, best)
f.write('%s,%s,%s\n' % (per_dist, modul, ncomms))
f.close()
