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decompose_flow_v3.py
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decompose_flow_v3.py
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import sys
from random import choice
if len(sys.argv)!=3:
print "%s flow_file out"
sys.exit(1)
flow_filename=sys.argv[1]
out_filename=sys.argv[2]
flow_file=open(flow_filename)
edges={}
ins={}
outs={}
nodes=set()
funky_nodes=set()
for line in flow_file:
line=line.strip().split()
if line[0]=='f':
fl=int(line[3])
if fl==0:
continue
fn=int(line[1])
tn=int(line[2])
if fn not in edges:
edges[fn]={}
if tn not in edges[fn]:
edges[fn][tn]=0
edges[fn][tn]+=fl
if tn not in ins:
ins[tn]=0
ins[tn]+=fl
if fn not in outs:
outs[fn]=0
outs[fn]+=fl
nodes.add(fn)
nodes.add(tn)
if abs(fn-tn)!=2:
funky_nodes.add(fn)
for x in ins:
if ins[x]!=outs[x]:
print >> sys.stderr, "FAIL",x
sys.exit(1)
for x in outs:
if ins[x]!=outs[x]:
print >> sys.stderr, "FAIL",x
sys.exit(1)
def get_start_edge(e):
es=[]
for fn in e:
for tn in e[fn]:
if e[fn][tn]<=0:
print >> sys.stderr, "FAILDE!"
sys.exit(1)
for x in range(e[fn][tn]):
es.append((fn,tn))
if len(es)==0:
return False
return choice(es)
def decrease(e,fn,tn):
e[fn][tn]-=1
if e[fn][tn]==0:
e[fn].pop(tn)
if len(e[fn])==0:
e.pop(fn)
def reverse_path(p):
p=list(p)
for x in range(len(p)):
if p[x]%2==0:
p[x]-=1
else:
p[x]+=1
p.reverse()
return tuple(p)
def canonical_loop(l):
mn=min(l)
if mn%2==0:
l=reverse_path(l)
l=l[l.index(min(l)):]+l[:l.index(min(l))] #bring min to front
return tuple(l)
#given loop and subseq s, give a histogram of things to come next
def ocount(l,s):
c={}
sz=len(l)
szz=len(s)
for i in range(sz):
missed=False
for x in range(szz):
if l[(i+x)%sz]!=s[x]:
missed=True
break
if not missed:
z=l[(i+szz)%sz]
if z!=None:
if z not in c:
c[z]=0
c[z]+=1
return c
def is_subsequence(s,m):
sz=len(m)
szz=len(s)
for i in range(sz-szz+1):
missed=False
for x in range(szz):
if m[i+x]!=s[x]:
missed=True
break
if not missed:
return True
return False
def print_seq(ls):
if len(ls)==0:
return ""
os=[]
for s in ls:
if len(s)==1:
os.append(str[0])
continue
o=""
d=None
l=0
for x in range(len(s)-1):
if s[x]-s[x+1]!=d:
if len(o)>0:
if l>0:
o+="-"+str(s[x])
else:
o+=","+str(s[x])
#o+=","+str(s[x+1])
else:
o=str(s[x])
d=s[x]-s[x+1]
l=0
else:
l+=1
o+="-"+str(s[-1])
os.append(o)
return "|".join(os)
def is_primary(l):
l=canonical_loop(l)
try:
sa=l.index(1)
return True
except:
pass
return False
def loop_to_loops(l):
l=canonical_loop(l)
sa=-1
sb=-1
#l cannot have repeat element, but can go through source/sink on other side
try:
sa=l.index(1)
except ValueError:
pass
try:
sb=l.index(4)
except ValueError:
pass
if sa>=0 and sb>=0:
#this is a double loop
l1=l[:sb]
l2=canonical_loop(l[sb:])
return [(tuple(l1),),(tuple(l2),)]
else:
return [(tuple(l),)]
all_loops={}
def join_loops(l1,l2):
nl=set()
for l in l1:
nl.add(l)
for l in l2:
nl.add(l)
nl=list(nl)
nl.sort()
return tuple(nl)
def loop_to_loop(l1,l2):
if len(l2)!=1:
print >> sys.stderr, "FAILEDS AT THIS"
sys.exit(1)
l2=l2[0]
#check if the loop is already in l1
for loop in l1:
if loop==l2:
return ()
#check for overlaping node
for loop in l1:
for x in loop:
if x in l2:
#they overlap
l3=list(l1)+[l2]
l3.sort()
return tuple(l3)
return ()
#take in contigs
# { '(1,3,4,16,347,17,547,245,724572)':count ...}
#same for loops
def cplexout(lines,loops,candidates,filename):
#should really remove length 1 and copy count 1 candidates
#lmbda=1
#lmbda=-0.3
lmbda=0
new_candidates=[]
for c in candidates:
r=[]
q=[]
for x in c:
r.append(x)
q.append(c[x])
r=tuple(r)
q=tuple(q)
new_candidates.append((r,q))
candidates=new_candidates
of=open(filename,'w')
#index the required and candidates
idxs={}
line_idxs=[]
idx_to_line={}
loop_idxs=[]
idx_to_loop={}
candidate_idxs=[]
idx_to_candidate={}
for x in lines:
line_idxs.append(len(idxs))
idx_to_line[len(idxs)]=x
idxs[x]=len(idxs)
for x in loops:
loop_idxs.append(len(idxs))
idx_to_loop[len(idxs)]=x
idxs[x]=len(idxs)
for x in candidates:
candidate_idxs.append(len(idxs))
idx_to_candidate[len(idxs)]=x
idxs[x]=len(idxs)
ks=idxs.keys()
#generate the objective
obj=[]
for x in range(len(idxs)):
obj.append(str(lmbda)+' m'+str(x))
obj.append('i'+str(x))
#for x in idxs:
# obj.append(str(lmbda)+' m'+str(idxs[x]))
#for x in idxs:
# obj.append('i'+str(idxs[x]))
print >> of, "Minimize\n obj:"," + ".join(obj)
#print the conditions
print >> of, "Subject To"
for x in line_idxs:
l=idx_to_line[x]
terms=[]
terms.append("m"+str(x))
for y in candidate_idxs:
c,cp=idx_to_candidate[y]
if l[0] in c:
# print M * (how many times c has l in it)
i=c.index(l[0])
terms.append(str(cp[i]) + " m"+str(y))
print >> of, " l"+str(idxs[l])+":\t" + " + ".join(terms) + " = " + str(lines[l])
for x in loop_idxs:
l=idx_to_loop[x]
terms=[]
terms.append("m"+str(x))
for y in candidate_idxs:
c,cp=idx_to_candidate[y]
if l[0] in c:
# print M * (how many times c has l in it)
i=c.index(l[0])
terms.append(str(cp[i]) + " m"+str(y))
print >> of, " o"+str(idxs[l])+":\t" + " + ".join(terms) + " = " + str(loops[l])
for x in range(len(idxs)):
if x in idx_to_line:
print >> of , "\\ LINE " , print_seq(idx_to_line[x])
elif x in idx_to_loop:
print >> of , "\\ LOOP " , print_seq(idx_to_loop[x])
elif x in idx_to_candidate:
print >> of , "\\ CANDIDATE " , print_seq(idx_to_candidate[x][0]), idx_to_candidate[x][1]
else:
print "MAJOR ERROR Xsadf"
sys.exit(1)
print >> of, " lx"+str(x)+":\t" + " m"+ str(x) +" - 1000 i"+str(x)+ " < 0"
#print the bounds
print >> of, "Bounds"
for b in range(len(idxs)):
print >> of, "0 <= m" + str(b) + " <= 1000"
print >> of, "Binary"
print >> of, "\t"+ " ".join(map(lambda x : "i"+str(x),range(len(idxs))))
print >> of, "General"
print >> of, "\t"+ " ".join(map(lambda x : "m"+str(x),range(len(idxs))))
print >> of , "End"
of.close()
def common_factor(depth,s):
for x in range(2,depth):
good=True
for loop in s:
if s[loop]%x!=0:
good=False
break
if good:
return True
return False
def sloop_candidates(depth,s):
candidates=sloop_candidates_r(depth,s)
new_candidates=[]
for x in candidates:
if common_factor(depth,x):
continue
new_candidates.append(x)
return candidates
def sloop_candidates_r(depth,s):
r=[]
if len(s)==1:
for x in range(depth):
r.append({s[0]:(x+1)})
else:
qq=sloop_candidates(depth,s[1:])
for q in qq:
for x in range(depth):
d=q.copy()
d[s[0]]=x+1
r.append(d)
return r
def decompose(oe):
e=edges_copy(oe)
sz=0
for fn in e:
for tn in e[fn]:
sz+=e[fn][tn]
lines={}
loops={}
#find the neighbours
stack=[]
while True:
if len(stack)<2:
start_edge=get_start_edge(e)
if start_edge==False:
break
decrease(e,start_edge[0],start_edge[1])
sz-=1
stack=[start_edge[0],start_edge[1]]
fn=stack[-1]
if len(e[fn])==1:
tn=e[fn].keys()[0]
decrease(e,fn,tn)
else:
ns=[]
for tn in e[fn]:
for x in range(e[fn][tn]):
ns.append(tn)
if len(ns)==0:
break
#choose a neighbour
tn=choice(ns)
decrease(e,fn,tn)
sz-=1
if tn in stack:
#remove the loop!
idx=stack.index(tn)
#loop=canonical_loop(stack[idx:])
new_loops=loop_to_loops(stack[idx:])
for loop in new_loops:
print print_seq(loop),
d=None
if is_primary(loop[0]):
print "LINE"
d=lines
else:
print "LOOP"
d=loops
if loop not in d:
d[loop]=0
d[(reverse_path(loop[0]),)]=0
d[loop]+=1
d[(reverse_path(loop[0]),)]+=1
stack=stack[:idx]
#if len(loops)>3 and len(lines)>3:
# break
stack.append(tn)
#find loop links
sloops=set(loops.keys())
quick_loop_links=set()
checked_loops=set()
loop_links=set()
for loop in sloops:
for loopy in sloops:
new_loop=join_loops(loop,loopy)
if new_loop in checked_loops:
continue
checked_loops.add(new_loop)
if len(loop_to_loop(loop,loopy))>0:
quick_loop_links.add(sum(map(sum,loop))+sum(map(sum,loopy)))
loop_links.add(new_loop)
#find the line links
quick_line_loop_links=set()
line_loop_links=set()
for line in lines:
for loop in sloops:
new_loop=join_loops(line,loop)
if new_loop in checked_loops:
continue
checked_loops.add(new_loop)
if len(loop_to_loop(line,loop))>0:
line_loop_links.add(new_loop)
quick_line_loop_links.add(sum(line[0])+sum(map(sum,loop)))
for x in line_loop_links:
print "XY",print_seq(x)
#find super loops
checked_loops=set()
while True:
mx=0
new_loops=[]
for loop in sloops:
if loop in checked_loops:
continue
checked_loops.add(loop)
for loopy in sloops:
if len(loopy)!=1:
continue
if loopy[0] in loop:
continue
for subloop in loop:
if loops[loopy]>3*len(loop):
s=sum(subloop)+sum(loopy[0])
if s not in quick_loop_links:
continue
new_loop=join_loops((subloop,),loopy)
if new_loop in loop_links:
#add it
new_loops.append(join_loops(loop,loopy))
for new_loop in new_loops:
mx=max(mx,len(new_loop))
sloops.add(new_loop)
print len(sloops),mx
if len(new_loops)==0:
break
#add super loops to the candidates
print "CANDIDATES"
candidates=[]
for sloop in sloops:
print "process candidates..."
new_candidates=sloop_candidates(3,sloop)
candidates+=new_candidates
#check for line attachments
for line in lines:
for loop in sloop:
new_loop=join_loops(line,loop)
if new_loop in line_loop_links:
for nc in new_candidates:
d=nc.copy()
d[line[0]]=1
candidates.append(d)
break
#try to print the basic lp solve function
cplexout(lines,loops,candidates,out_filename)
sys.exit(1)
#find line to loop links
#find line to superloops
#compute candidate contigs
#print out IP/LP
#solve
sys.exit(1)
#lets find out which nodes bring flow into secondary loops
#first lets build dictionary of secondary_loop -> dict
loops_ins={}
for loop in loops:
loops_ins[loop]={}
for fn in oe:
for tn in oe[fn]:
for loop in loops_ins:
if fn not in loop and tn in loop:
loops_ins[loop][tn]=oe[fn][tn]
for loop in loops_ins:
print print_seq(loop)
for tn in loops_ins[loop]:
print "\t"+str(loops_ins[loop][tn])+"\t"+str(tn)
for loop in loops_ins:
print print_seq(loop)
c={}
try:
for x in range(len(loop)-1):
y=oe[loop[x]][loop[x+1]]
if y not in c:
c[y]=0
c[y]+=1
print c
except:
loop=reverse_path(loop)
for x in range(len(loop)-1):
y=oe[loop[x]][loop[x+1]]
if y not in c:
c[y]=0
c[y]+=1
print c
print sz
sys.exit(1)
return loops
def reachable_without(oe,fn,tn):
e=edges_copy(oe)
decrease(e,fn,tn)
visited=set([1,2])
if tn in (1,2):
return True
q=[1,2]
while len(q)>0:
n=q.pop() #DFS if pop from back, BFS if pop from front?
for t in e[n]:
if tn==t:
return True
if t not in visited:
visited.add(t)
q.append(t)
return False
def connected_components_without(oe,fn,tn):
e=edges_copy(oe)
decrease(e,fn,tn)
return unsafe_connected_components(e)
def unsafe_connected_components(e):
cc=0
while len(e)>0:
#grab the first node
stack=[e.keys()[0]]
while len(stack)>0:
fn=stack.pop()
if fn in e:
for tn in e[fn]:
stack.append(tn)
e.pop(fn)
cc+=1
return cc
def connected_components(oe):
e=edges_copy(oe)
return unsafe_connected_components(e)
def edges_copy(e):
ne={}
for x in e:
ne[x]=e[x].copy()
return ne
all_loops=decompose(edges_copy(edges))
#get spectrum
d={}
c={}
k=20
for loop in all_loops:
for x in range(len(loop)+k-1):
z=[]
for y in range(k):
z.append(loop[(x+y)%len(loop)])
n=z[0]
nr=n
if n%2==0:
nr-=1
else:
n+=1
if n in funky_nodes or nr in funky_nodes:
z=tuple(z)
if z not in d:
d[z]=0
d[z]+=1
if z[0] not in c:
c[z[0]]={}
if z[-1] not in c[z[0]]:
c[z[0]][z[-1]]=0
c[z[0]][z[-1]]+=1
ks=[]
for k in d:
ks.append((d[k],k))
ks.sort()
print ks
sys.exit(1)
#do some funky stuff
finals=set()
cutoff=0.3
for node in funky_nodes:
go_on=True
#check if already found somewhere
for f in finals:
if node in f:
go_on=False
break
if go_on==False:
continue
dist={(node,):1}
while go_on:
go_on=False # need to find one with higher then cutoff to go on
new_dist={}
sum=0
for s in dist:
for loop in all_loops:
oc=ocount(loop,s)
for x in oc:
k=s+(x,)
if k not in new_dist:
new_dist[k]=0.0
new_dist[k]+=oc[x]
sum+=oc[x]*all_loops[loop]
for s in new_dist:
new_dist[s]/=sum
if new_dist[s]>=cutoff:
go_on=True
dist=new_dist
for x in dist:
if len(x)>2:
#check if this supers any other finals
to_remove=set()
for f in finals:
if is_subsequence(f,x):
to_remove.add(f)
for f in to_remove:
finals.remove(f)
finals.add(x)
print print_seq(x)
for f in finals:
print print_seq(f)