05:50:22 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
05:50:22 Dataset points are too similar: 17116851 and 14056769
05:50:22 Dataset points are too similar: 14043845 and 14043853
05:50:22 Dataset points are too similar: 14043861 and 14043888
05:50:22 Dataset points are too similar: 14043861 and 14043870
05:50:22 Dataset points are too similar: 14043861 and 14043900
05:50:22 Found 763 duplicates in the dataset
05:50:22 Read 1224 items from the dataset
05:50:22 Splitting bbox [45.5177898, 13.5631872, 45.5303051, 13.5741181] at lats 45.528066..45.5280874; area decrease 33%
05:50:22 Splitting bbox [45.5177898, 13.5669529, 45.528066, 13.5741181] at lats 45.5200919..45.5203592; area decrease 6%
05:50:22 Splitting bbox [45.5280874, 13.5631872, 45.5303051, 13.5710262] at lats 45.5293181..45.5293262; area decrease 4%
05:50:22 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](45.5147898,13.5650403,45.5230919,13.5754504);nwr["addr:housenumber"](45.5250874,13.5620926,45.5323181,13.5740262);nwr["addr:housenumber"](45.5173592,13.5639529,45.531066,13.5771181);nwr["addr:housenumber"](45.5263262,13.5601872,45.5333051,13.5710854);); out meta qt center;
05:50:23 Downloaded 1032 objects from OSM
05:50:23 Matched 843 points
05:50:23 Removed 256 unmatched duplicates
05:50:23 Adding 125 unmatched dataset points
05:50:23 Deleted 0 and retagged 0 unmatched objects from OSM
05:50:23 Done