05:50:24 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
05:50:24 Dataset points are too similar: 17115618 and 14057200
05:50:24 Dataset points are too similar: 14057226 and 14057277
05:50:24 Dataset points are too similar: 14057404 and 14057439
05:50:24 Dataset points are too similar: 17116487 and 14057471
05:50:24 Dataset points are too similar: 14057544 and 14057587
05:50:24 Found 217 duplicates in the dataset
05:50:24 Read 1122 items from the dataset
05:50:24 Splitting bbox [45.5072542, 13.5695524, 45.5272707, 13.6026934] at longs 13.5937946..13.5938447; area decrease 33%
05:50:24 Splitting bbox [45.5135796, 13.5695524, 45.5272707, 13.5937946] at longs 13.5729866..13.5730684; area decrease 5%
05:50:24 Splitting bbox [45.5072542, 13.5938447, 45.5202741, 13.6026934] at lats 45.5168865..45.5172779; area decrease 5%
05:50:24 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](45.5116338,13.566552399999999,45.5214695,13.5759866);nwr["addr:housenumber"](45.5042542,13.5908447,45.5198865,13.6028888);nwr["addr:housenumber"](45.5105796,13.5700684,45.5302707,13.5967946);nwr["addr:housenumber"](45.5142779,13.5911401,45.5232741,13.6056934);); out meta qt center;
05:50:25 Downloaded 1142 objects from OSM
05:50:25 Matched 794 points
05:50:25 Removed 96 unmatched duplicates
05:50:25 Adding 232 unmatched dataset points
05:50:25 Deleted 0 and retagged 0 unmatched objects from OSM
05:50:25 Done