def inner(F1,F2) :
#print "\n\n",F1,F2
#print street
(b1,bp1) = F1
(b2,bp2) = F2
if b1 != b2 :
assert False
return 9999999;
else :
dist = bucketCentroidDistance(street,bp1,bp2)
return dist
if int(round(kp2_ml)) == kp2 :
sum_p2_correct_pocket_ml += inf.lookupPk( street, kp2 )
#####################################################################
###### Centroid Distances (w/ and w/o exchange weighting)
####################################################################
print "true buckets 1,2,diff: ", kp1, kp2, kp1-kp2
print "AVG: "
print " ", kp1_pf, kp2_pf, diff_pf
print "ML: "
print " ", kp1_ml, kp2_ml, diff_ml
print "BAL: "
print " ", kp1_bal, kp2_bal, diff_bal
p1_dist = bucketCentroidDistance(street,kp1,int(round(kp1_pf)))
p2_dist = bucketCentroidDistance(street,kp2,int(round(kp2_pf)))
sum_p1_dist_pf += p1_dist
sum_p2_dist_pf += p2_dist
sum_p1_weighted_dist_pf += p1_dist * exchanged
sum_p2_weighted_dist_pf += p2_dist * exchanged
p1_dist = bucketCentroidDistance(street,kp1,int(round(kp1_ml)))
p2_dist = bucketCentroidDistance(street,kp2,int(round(kp2_ml)))
sum_p1_dist_ml += p1_dist
sum_p2_dist_ml += p2_dist
sum_p1_weighted_dist_ml += p1_dist * exchanged
sum_p2_weighted_dist_ml += p2_dist * exchanged
p1_dist = bucketCentroidDistance(street,kp1,int(round(kp1_bal)))
p2_dist = bucketCentroidDistance(street,kp2,int(round(kp2_bal)))
