def get_shortest_and_second(R,node,debug=False): """ returns the shortest and second shortest paths FROM node. Does NOT store any data. assumes that R has origin info. R is of grid-type NOT tested """ inf=1e15 node=node[0] assert len(node)==2 #otherwise node was not given in the way we wanted if node==R.origin: return [], [] p1=nx.dijkstra_path(R, node, R.origin) w1=go.sumWeights(R,p1) assert len(p1)!=0 #should not happen since origin is handled e=(p1[0],p1[1]) e_data=R.get_edge_data(*e) #need to store away this dictionary of data assert node in e #we always start from node. wstore=e_data['weight'] e_data['weight']=inf #to force a loop.. cycle=go.shortestCycle(R,node, debug) #shortest cycle not including inf. weight edge if cycle: altW=w1+go.sumWeights(R,cycle) alternative=cycle[:-1]+p1 #-1 to avoid double use of node in path.. p2=nx.dijkstra_path(R, node, R.origin) #cannot do this single source w2=go.sumWeights(R,p2) if w2>=inf: #if we are forced to use e in second shortest as well -> no p2 or cycle if cycle: p2=alternative else: p2=None #corresponds to infinite elif cycle and w2>altW: p2=alternative #take the loop instead for second shortest e_data['weight']=wstore return p1,p2
def getRoute(self,road):
"""
get the routes to origin or to road. If to road, the node furthest away is returned and
nextPos is set to the node closest to the origin.
returns a list of nodes that should be visited.
Does not really follow the turn restrictions, needs improvements.
"""
if not road: raise Exception('road does not have a value')
ls=[]
shortest_path=nx.dijkstra_path
if road==self.origin: #give path to origin
if fun.ListTupleEquals(self.pos, self.origin):
return []
elif not self.nextPos: raise Exception('if not located in origin, nextPos must be given')
if fun.ListTupleEquals(self.pos, self.nextPos):
ls.append(self.nextPos) #also works if we are on a graph node
frm=self.nextPos
if fun.ListTupleEquals(frm, self.origin):
if not frm in ls: ls.append(frm)
ls.reverse()
return ls
#remove last visited road.
eTmp=[self.lastRoadPos, frm]
eTmp.append(self.roadNet.get_edge_data(eTmp[0], eTmp[1]))
self.roadNet.remove_edge(eTmp[0], eTmp[1])
ls+=shortest_path(self.roadNet,frm, self.origin) #dijksta shortest path
self.roadNet.add_edges_from([tuple(eTmp)])
self.nextPos=self.origin
else: #on our way out in the "road-jungle"
if tuple(self.pos) in self.roadNet:
frm=self.pos
else:
print self.pos, self.origin, self.pos in self.roadNet
if not self.nextPos: raise Exception('if not located in origin, nextPos must be given', self.pos)
ls.append(self.nextPos)
frm=self.nextPos
#remove road segment from graph, then add it again.
road=list(road)
road[2]=self.roadNet.get_edge_data(road[0], road[1])
self.roadNet.remove_edge(road[0], road[1])
if frm==road[0]:
first=[]
else:
first=shortest_path(self.roadNet, frm, road[0])
if frm==road[1]:
second=[]
else:
second=shortest_path(self.roadNet, frm, road[1])
self.roadNet.add_edges_from([tuple(road)])
if go.sumWeights(self.roadNet,first)<go.sumWeights(self.roadNet,second):
shortest=first
no2=second
else:
shortest=second
no2=first
ls.extend(no2)
if len(shortest)==0: #we are on the other side of road already.
self.nextPos=self.pos
else:
self.nextPos=shortest[-1] #should be road[0] or road[1]
self.lastRoadPos=no2[-1] #as above. Used for directions.
ls.reverse() #to get a stack from it. nicer to just pop()
return ls
def sumPathsDiff(R,e,storeData=False, add=False):
"""
culculates the difference in the sum of the paths from removing/adding edge e.
May store the new paths as well if storeData==True.
This function is a freaking mess.. clean up..
"""
#if not storeData: R=copy.deepcopy(R) #why was this here? extremely slow.
if len(e)<3: raise Exception('sumPathsDiff needs edge data as well. set data=True so e[2] can be reached')
beta=R.beta
w=R.roadWidth #width of roads
C=0 #cost
origin=R.origin
inf=1e12
eps=1e-8
etpl=tuple(e)
if add: #different orders of things, but otherwise the same.
action1=R.add_edges_from
action2=R.remove_edges_from
#we need to reduce the number of nodes checked... if euc. distance
#to origin is less than half that from e, remove
dtmp=fun.getDistance(e[0], R.origin)
lst=[n for n in R.nodes(data=True) if fun.getDistance(n[0], R.origin)>dtmp*0.5]#really slow, but necessary
#lst=R.nodes(data=True) #old one, replaced to increase speed a bit..
else:
action1=R.remove_edges_from
action2=R.add_edges_from
lst=e[2]['visited_from_node'] #faster than above.
action1([etpl])
if not nx.is_connected(R): #probably remove in this case. Not allowed since graph looses connectivity
action2([etpl])
return inf
routeAfter=nx.algorithms.shortest_paths.weighted.single_source_dijkstra(R, origin)
sumP21={}
for n in lst:
P21=routeAfter[1][n[0]]
P21.reverse()
sumP21[n[0]]=go.sumWeights(R, P21) #need to do this before addding/removing edge again
action2([etpl])
#print "sumpathdiff, visited from ", len(e[2]['visited_from_node']), " nodes"
for nTmp in lst:
if nTmp[0]==R.origin: continue
#print nTmp[1]
P11=nTmp[1]['shortest_path']
P12=nTmp[1]['second_shortest']
old_s1=go.sumWeights(R,P11)
#if add and storeData: print "p12:", add, storeData, P12
old_s2=go.sumWeights(R,P12)
P21=routeAfter[1][nTmp[0]] #used to be try statement here, be aware of exceptions
#P21.reverse() #already reversed above now!
#P21=nx.dijkstra_path(R,nTmp[0], origin) #try single source also..may be faster for a lot of n
if abs(sumP21[nTmp[0]]- old_s1) > eps: C+=beta*(sumP21[nTmp[0]]-old_s1)
action1([etpl])
if C<inf: #road back calculated, now road there.
eTmp=[P21[0], P21[1]] #minus, since reveresed. Look above
eTmp.append(R.get_edge_data(eTmp[0], eTmp[1]))
P21W=go.sumWeights(R,P21) #needs to be calculated before eTmp is removed
R.remove_edges_from([tuple(eTmp)]) #temporary remove to get loop
cycle=go.shortestCycle(R,nTmp[0],cutoff=10*e[2]['weight']) #the cutoff is taken from nothing. Makes the code slow. Should be modified to similar as graphOperations.pathdiff.. but this code is however not used..
alternative=False
altW=inf
W22=None
if cycle: #if we found one..
altW=P21W+go.sumWeights(R,cycle)
tmp=copy.deepcopy(P21)
tmp.reverse() #want from origin to point
alternative=tmp+cycle
try:
P22=nx.dijkstra_path(R, origin, nTmp[0]) #cannot do this single source
if alternative and go.sumWeights(R,P22)>altW:
P22=alternative
W22=altW
else:
W22=go.sumWeights(R,P22)
except nx.exception.NetworkXNoPath:
if alternative:
P22=alternative
W22=altW
else:
C=inf #this exception is thrown if the node is in a local graph separated from OR
R.add_edges_from([tuple(eTmp)]) #reset road
if C>=inf: break #saves some time, but is ugly
if abs(W22-old_s2)>eps:
C+=W22-old_s2
#if P22 != old_s2: C+=go.sumWeights(R,P22)-old_s2 #old one. wrong, right?
if storeData:
nTmp[1]['new_shortest_path']=P21
nTmp[1]['new_second_shortest']=P22
action2([etpl])
#print "C=", C
if C>=inf: R.add_edges_from([tuple(e)]) #we broke out without adding again..
return C
def pathsDiff(R,e,storeData=False):
"""
culculates the difference in the sum of the paths from removing/adding edge e.
May store the new paths as well if storeData==True.
This function is a freaking mess.. clean up..
"""
assert len(e)>=3
beta=R.beta
w=R.roadWidth #width of roads
C=0 #cost
origin=R.origin
inf=1e15
eps=1e-8
etpl=tuple(e)
for nTmp in e[2]['visited_from_node']:
if nTmp[0]==R.origin: continue
"""
used to use already calc. balues..
P11=nTmp[1]['shortest_path']
P12=nTmp[1]['second_shortest']
#remove!!!
"""
P11,P12=get_shortest_and_second(R, nTmp)
"""if t2!=P12:
print nTmp
print go.sumWeights(R,t2)
print go.sumWeights(R,P12)
print t2
print P12
ax=R.draw(weight=True)
draw_road(t2, ax,'r')
draw_road(P12, ax,'b')
plt.show()
assert t1==P11
assert t2==P12"""
if P12 == None or P11==None: #road is forced over e.. cannot be removed..
C=inf
break
w11=go.sumWeights(R,P11)
w12=go.sumWeights(R,P12)
assert w12>=w11
wstore=e[2]['weight']
e[2]['weight']=inf #force other ways..
P21,P22=get_shortest_and_second(R, nTmp)
if P21==None or P22==None:
C=inf
break
w21=go.sumWeights(R,P21)
w22=go.sumWeights(R,P22)
assert w22>=w21 #closest one is the one with load
#print w22, w21, w22+w21
#print w11, w12, w11+w12
if w22+w21<w11+w12: #new route should be longer or equal
print w22+w21, w11+w12
print e[0:2]
ax=R.draw()
P21.reverse()
draw_road(P21+P22, ax, 'r')
P11.reverse()
draw_road(P11+P12, ax, 'b')
plt.show()
assert w22+w21>=w11+w12 #new route should be longer or equal
C+=(w21+beta*w22)-(w11+beta*w12)
if storeData: #store so we don't have to do this all again when/if removing edge
assert P21!=None and P22!=None
"""if nTmp[0]==(135.637, 103.395):
p1,p2=get_shortest_and_second(R,nTmp, debug=True)
if go.sumWeights(R,p2)>160:
ax=R.draw(weight=True)
draw_road(p2, ax, 'r')
plt.show()
raise Exception('remove..')"""
nTmp[1]['new_shortest_path']=P21
nTmp[1]['new_second_shortest']=P22
e[2]['weight']=wstore
if C>=inf: e[2]['weight']=wstore #we broke out without adding..
return C
