05:48:40 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
05:48:40 Read 159 items from the dataset
05:48:40 Splitting bbox [46.4063877, 16.102797, 46.4211084, 16.1217937] at longs 16.1075501..16.107942; area decrease 22%
05:48:40 Splitting bbox [46.4063877, 16.107942, 46.4191282, 16.1217937] at longs 16.1169715..16.1171189; area decrease 14%
05:48:40 Splitting bbox [46.4071479, 16.107942, 46.4191282, 16.1169715] at lats 46.4101119..46.4113698; area decrease 8%
05:48:40 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](46.4091965,16.099797,46.4241084,16.1105501);nwr["addr:housenumber"](46.4041479,16.104942,46.4131119,16.1161087);nwr["addr:housenumber"](46.4033877,16.1141189,46.4159092,16.1247937);nwr["addr:housenumber"](46.4083698,16.1050652,46.4221282,16.1199715);); out meta qt center;
05:48:41 Downloaded 220 objects from OSM
05:48:41 Matched 151 points
05:48:41 Adding 8 unmatched dataset points
05:48:41 Deleted 0 and retagged 0 unmatched objects from OSM
05:48:41 Done