with open('jobsPC_2.txt', 'r') as f:
#with open('jobsPC.txt', 'r') as f:
N = int(f.readline().strip()) # N is number of jobs to schedule
# build digraph to model job sequencing: 1 src, 1 target, each job has 2 vertices (start, end)
G = EdgeWeightedDigraph(N * 2 + 2)
src = 2 * N
sink = 2 * N + 1
lines = f.read().split('\n') # drop last line which is ''
f.close()
job = 0 # 'job' is job index
for line in lines:
fields = line.split() # split line on whitepace
duration = float(fields[0])
G.addEdge(DEdge(job, job + N,
duration)) # add edge betw 'start of job' and 'end of job'
G.addEdge(DEdge(src, job, 0))
G.addEdge(DEdge(job + N, sink, 0))
succ = map(int, fields[1:])
for w in succ:
# add precedence edges
G.addEdge(DEdge(job + N, w, 0))
job += 1
lp = AcyclicLP(G, src) # checks whether G is a DAG
print 'Start times:'
for i in range(N):
print '%4d: %5.1f\n' % (i, lp.distTo(i))
print 'Finish time: %5.1f\n' % lp.distTo(sink)
from GraphLib import EdgeWeightedDigraph
from BaseClassLib import GraphBase
from DirectedEdge import DEdge # directed, weighted edge
from LongestPath import AcyclicLP
from ShortestPath import AcyclicSP
with open('tinyEWDAG.txt', 'r') as f:
V = int(f.readline().strip())
E = int(f.readline().strip())
text = f.read()
f.close()
#dag = EdgeWeightedDigraph(V)
class DAG(GraphBase):
pass
dag = DAG.graphfactory(V, directed=True, weighted=True)
lines = text.split('\n')
for line in lines[:-1]: # last line is empty
l = line.split()
v = int(l[0])
w = int(l[1])
weight = float(l[2])
dag.addEdge(DEdge(v, w, weight))
#find the longest path from 0 => 5
d = AcyclicLP(dag, 5)
d.distTo(0)
#find the shortest path from 0 => 5
sh = AcyclicSP(dag, 5)
sh.distTo(0)
f.close() job = 0 # 'job' is job index for line in lines: fields = line.split() # split line on whitepace duration = float(fields[0]) G.addEdge(DEdge(job, job + N, duration)) # add edge betw 'start of job' and 'end of job' G.addEdge(DEdge(src, job, 0)) G.addEdge(DEdge(job + N, sink, 0)) succ = map(int, fields[1:]) for w in succ: # add precedence edges G.addEdge(DEdge(job + N, w, 0)) job += 1 lp = AcyclicLP(G, src) # checks whether G is a DAG print 'Start times:' for i in range(N): print '%4d: %5.1f\n' % (i, lp.distTo(i)) print 'Finish time: %5.1f\n' % lp.distTo(sink)