05:07:13 Loading profile <_io.TextIOWrapper name='gursAddressesConflationProfile.py' mode='r' encoding='UTF-8'>
05:07:13 Dataset points are too similar: 11862900 and 17107941
05:07:13 Dataset points are too similar: 17111736 and 11862934
05:07:13 Dataset points are too similar: 17108417 and 17108409
05:07:13 Dataset points are too similar: 17108417 and 17128442
05:07:13 Dataset points are too similar: 17116029 and 11862969
05:07:13 Dataset points are too similar: 17116029 and 17128442
05:07:13 Found 17 duplicates in the dataset
05:07:13 Read 75 items from the dataset
05:07:13 Splitting bbox [45.5197534, 13.6156995, 45.5343688, 13.634299] at lats 45.525071..45.5273327; area decrease 39%
05:07:13 Splitting bbox [45.5273327, 13.6156995, 45.5343688, 13.634299] at lats 45.5322312..45.5325178; area decrease 21%
05:07:13 Splitting bbox [45.5273327, 13.6210104, 45.5322312, 13.634299] at longs 13.6291483..13.6305748; area decrease 7%
05:07:13 Overpass query: [out:xml][timeout:300];(nwr["addr:housenumber"](45.5167534,13.617183,45.528071,13.6298481);nwr["addr:housenumber"](45.5243327,13.6180104,45.5352312,13.6321483);nwr["addr:housenumber"](45.5295178,13.6126995,45.5373688,13.6236026);nwr["addr:housenumber"](45.526406,13.6275748,45.53423,13.637299);); out meta qt center;
05:07:14 Downloaded 95 objects from OSM
05:07:14 Matched 54 points
05:07:14 Removed 4 unmatched duplicates
05:07:14 Adding 17 unmatched dataset points
05:07:14 Deleted 0 and retagged 0 unmatched objects from OSM
05:07:14 Done