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Implement geocoding and reverse geocoding with tiger interpolation lines instead of points.
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49
mytests/reverse_tiger_functional.py
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49
mytests/reverse_tiger_functional.py
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import numpy as np
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import urllib2 as url
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import json as json
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import random_points_bbox
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def test_compare(strUrl1, strUrl2, iPoints):
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#define bounding box for test
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# sw: left-lower corner
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sw_lng= -100.815
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sw_lat= 46.789
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# ne right-top corner
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ne_lng= -100.717
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ne_lat= 46.84
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#first get some random points in the bbox
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aPoints = random_points_bbox.getPoints(iPoints, -100.815, 46.789, -100.717, 46.84)
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same = 0
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differ = 0
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differ_street=0
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missing_housenumber_1=0
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missing_housenumber_2=0
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for point in aPoints:
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response = url.urlopen( strUrl1 % (point[1],point[0]))
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data1 = json.load(response)
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response = url.urlopen(strUrl2 % (point[1],point[0]))
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data2 = json.load(response)
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if data1['address'] == data2['address']:
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same+=1
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elif 'road' in data1['address'] and 'road' in data2['address']:
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differ+=1
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print 'different: '+str(data1['address'])+' - ' + str(data2['address'])
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if data1['address']['road'] != data2['address']['road']:
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differ_street +=1
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if 'house_number' not in data1['address']:
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missing_housenumber_1 +=1
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print 'missing housenumber in Line: '+str(data1['address'])
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if 'house_number' not in data2['address']:
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missing_housenumber_2 +=1
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print 'missing housenumber in Old: '+str(data2['address'])
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print 'Number of same values: '+str(same)
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print 'Number of different values: '+str(differ)
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print 'Number of different streets: '+str(differ_street)
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print 'Points without housenumber in Line: '+str(missing_housenumber_1)
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print 'Points without housenumber in Old: '+str(missing_housenumber_2)
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strUrlLine = "http://localhost/nominatim/reverse.php?format=json&lat=%f&lon=%f"
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strUrlOld = "http://localhost/nominatim_old/reverse.php?format=json&lat=%f&lon=%f"
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test_compare(strUrlLine,strUrlOld, 100)
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