09:54:52 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
09:54:53 Read 876 items from the dataset
09:54:53 Splitting bbox [46.5393911, 14.8936757, 46.5533088, 14.9372939] at lats 46.5432016..46.5432442; area decrease 33%
09:54:53 Splitting bbox [46.5393911, 14.8936757, 46.5432016, 14.9322907] at lats 46.5419743..46.5420584; area decrease 10%
09:54:53 Splitting bbox [46.5432442, 14.9114395, 46.5533088, 14.9372939] at lats 46.5516184..46.5527408; area decrease 7%
09:54:53 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](46.5363911,14.8906757,46.5449743,14.9159973);nwr["addr:housenumber"](46.5402442,14.9084395,46.5546184,14.9402939);nwr["addr:housenumber"](46.5390584,14.8992881,46.5462016,14.9352907);nwr["addr:housenumber"](46.5497408,14.9187534,46.556308800000004,14.9271007);nwr["ref:gurs:hs_mid"](46.5363911,14.8906757,46.5449743,14.9159973);nwr["ref:gurs:hs_mid"](46.5402442,14.9084395,46.5546184,14.9402939);nwr["ref:gurs:hs_mid"](46.5390584,14.8992881,46.5462016,14.9352907);nwr["ref:gurs:hs_mid"](46.5497408,14.9187534,46.556308800000004,14.9271007);); out meta qt center;
09:54:54 Downloaded 300 objects from OSM
09:54:54 Updated 0 OSM objects with ref:gurs:hs_mid tag
09:54:55 Matched 288 points
09:54:55 Adding 588 unmatched dataset points
09:54:55 Deleted 0 and retagged 0 unmatched objects from OSM
09:54:55 Done