05:47:58 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'> 05:47:58 Dataset points are too similar: 14029630 and 14029648 05:47:58 Dataset points are too similar: 14029630 and 14029702 05:47:58 Dataset points are too similar: 14029656 and 14029672 05:47:58 Dataset points are too similar: 14029656 and 14029664 05:47:58 Dataset points are too similar: 14029656 and 17093738 05:47:58 Found 33 duplicates in the dataset 05:47:58 Read 134 items from the dataset 05:47:58 Splitting bbox [45.4486212, 13.6438916, 45.4752107, 13.6749152] at lats 45.4685574..45.4707455; area decrease 39% 05:47:58 Splitting bbox [45.4486212, 13.6467189, 45.4685574, 13.6650419] at longs 13.6517238..13.6550461; area decrease 18% 05:47:58 Splitting bbox [45.4707455, 13.6438916, 45.4752107, 13.6749152] at lats 45.4743968..45.4749725; area decrease 8% 05:47:58 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](45.4553264,13.6437189,45.4715574,13.6547238);nwr["addr:housenumber"](45.4677455,13.6524731,45.4773968,13.6768904);nwr["addr:housenumber"](45.4456212,13.6520461,45.4681175,13.6680419);nwr["addr:housenumber"](45.4719725,13.6408916,45.4782107,13.6779152);); out meta qt center; 05:47:59 Downloaded 148 objects from OSM 05:47:59 Matched 120 points 05:47:59 Removed 6 unmatched duplicates 05:47:59 Adding 8 unmatched dataset points 05:47:59 Deleted 0 and retagged 0 unmatched objects from OSM 05:47:59 Done