04:44:30 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
04:44:31 Dataset points are too similar: 11198619 and 11198635
04:44:31 Dataset points are too similar: 11198783 and 11198775
04:44:31 Dataset points are too similar: 11242219 and 11242227
04:44:31 Dataset points are too similar: 11242286 and 11242278
04:44:31 Dataset points are too similar: 11250742 and 11250777
04:44:31 Found 342 duplicates in the dataset
04:44:31 Read 5623 items from the dataset
04:44:31 Splitting bbox [46.2074017, 15.2141152, 46.2620841, 15.2972682] at lats 46.2340481..46.2340566; area decrease 19%
04:44:31 Splitting bbox [46.2074017, 15.2141152, 46.2340481, 15.2972682] at lats 46.2207355..46.2207723; area decrease 14%
04:44:31 Splitting bbox [46.2340566, 15.2320603, 46.2620841, 15.2844558] at lats 46.2581389..46.2584651; area decrease 4%
04:44:31 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](46.2044017,15.2423347,46.223735500000004,15.2856656);nwr["addr:housenumber"](46.2310566,15.2290603,46.2611389,15.2874558);nwr["addr:housenumber"](46.2177723,15.2111152,46.2370481,15.3002682);nwr["addr:housenumber"](46.2554651,15.2755578,46.2650841,15.286927200000001);); out meta qt center;
04:44:32 Downloaded 1411 objects from OSM
04:44:33 Matched 1219 points
04:44:33 Removed 268 unmatched duplicates
04:44:33 Adding 4136 unmatched dataset points
04:44:33 Deleted 0 and retagged 0 unmatched objects from OSM
04:44:33 Done