05:50:20 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
05:50:20 Dataset points are too similar: 14042113 and 14042121
05:50:20 Dataset points are too similar: 14042113 and 14042130
05:50:20 Dataset points are too similar: 14042156 and 14042164
05:50:20 Dataset points are too similar: 17076426 and 14042164
05:50:20 Dataset points are too similar: 17084143 and 14041567
05:50:20 Dataset points are too similar: 14041605 and 14041613
05:50:20 Found 57 duplicates in the dataset
05:50:20 Read 288 items from the dataset
05:50:20 Splitting bbox [45.4655176, 13.5978892, 45.4908849, 13.6501645] at longs 13.6067259..13.619791; area decrease 60%
05:50:20 Splitting bbox [45.4655176, 13.5978892, 45.486664, 13.6067259] at lats 45.4675161..45.4863221; area decrease 13%
05:50:20 Splitting bbox [45.4795586, 13.619791, 45.4908849, 13.6501645] at longs 13.6428501..13.644121; area decrease 3%
05:50:20 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](45.4625176,13.598638,45.4705161,13.6097259);nwr["addr:housenumber"](45.4765586,13.616791,45.4938849,13.6458501);nwr["addr:housenumber"](45.4833221,13.594889199999999,45.489664,13.6016269);nwr["addr:housenumber"](45.4778681,13.641121,45.4903974,13.6531645);); out meta qt center;
05:50:21 Downloaded 232 objects from OSM
05:50:21 Matched 161 points
05:50:21 Removed 26 unmatched duplicates
05:50:21 Adding 101 unmatched dataset points
05:50:21 Deleted 0 and retagged 0 unmatched objects from OSM
05:50:21 Done