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210 lines
8.6 KiB
Python
210 lines
8.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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SpatialJoin.py
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---------------------
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Date : October 2013
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Copyright : (C) 2013 by Joshua Arnott
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Email : josh at snorfalorpagus dot net
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***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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***************************************************************************
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"""
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from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
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__author__ = 'Joshua Arnott'
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__date__ = 'October 2013'
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__copyright__ = '(C) 2013, Joshua Arnott'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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from processing.core.GeoAlgorithm import GeoAlgorithm
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from PyQt4.QtCore import *
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from PyQt4.QtGui import *
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from qgis.core import *
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from processing.parameters.ParameterVector import ParameterVector
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from processing.parameters.ParameterSelection import ParameterSelection
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from processing.parameters.ParameterString import ParameterString
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from processing.tools import dataobjects
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from processing.outputs.OutputVector import OutputVector
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from processing.tools import vector
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from processing.core.ProcessingLog import ProcessingLog
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import os
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def myself(L):
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#median computation
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nVal = len(L)
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if nVal == 1:
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return L[0]
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L.sort()
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#test for list length
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medianVal = 0
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if nVal > 1:
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if ( nVal % 2 ) == 0:
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#index begin at 0
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#remove 1 to index in standard median computation
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medianVal = 0.5 * ( (L[ (nVal) / 2 - 1]) + (L[ (nVal) / 2 ] ))
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else:
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medianVal = L[ (nVal + 1) / 2 - 1]
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return medianVal
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class SpatialJoin(GeoAlgorithm):
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'''
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Join attributes by location
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Port of the spatial join algorithm from fTools to the Processing Toolbox.
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'''
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INPUT1 = "INPUT1"
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INPUT2 = "INPUT2"
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SUMMARY = "SUMMARY"
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STATS = "STATS"
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KEEP = "KEEP"
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OUTPUT = "OUTPUT"
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SUMMARYS = [
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'Take attributes of the first located feature',
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'Take summary of intersecting features'
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]
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KEEPS = [
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'Only keep matching records',
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'Keep all records (including non-matching target records)'
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]
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#===========================================================================
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# def getIcon(self):
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# return QIcon(os.path.dirname(__file__) + "/icons/join_location.png")
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#===========================================================================
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def defineCharacteristics(self):
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self.name = "Join attributes by location"
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self.group = "Vector general tools"
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self.addParameter(ParameterVector(SpatialJoin.INPUT1, "Target vector layer", [ParameterVector.VECTOR_TYPE_ANY]))
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self.addParameter(ParameterVector(SpatialJoin.INPUT2, "Join vector layer", [ParameterVector.VECTOR_TYPE_ANY]))
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self.addParameter(ParameterSelection(self.SUMMARY, "Attribute summary", self.SUMMARYS, 0))
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self.addParameter(ParameterString(self.STATS, "Statistics for summary (comma separated)", "sum,mean,min,max,med"))
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self.addParameter(ParameterSelection(self.KEEP, "Output table", self.KEEPS, 0))
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self.addOutput(OutputVector(SpatialJoin.OUTPUT, "Output layer"))
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def processAlgorithm(self, progress):
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progress.setText('Analysing inputs...')
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summary = self.getParameterValue(self.SUMMARY) == 1
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sumList = self.getParameterValue(self.STATS).upper().replace(' ','').split(',')
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keep = self.getParameterValue(self.KEEP) == 1
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input1 = self.getParameterValue(self.INPUT1)
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layer1 = dataobjects.getObjectFromUri(input1)
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provider1 = layer1.dataProvider()
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fieldList1 = provider1.fields()
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input2 = self.getParameterValue(self.INPUT2)
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layer2 = dataobjects.getObjectFromUri(input2)
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provider2 = layer2.dataProvider()
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fieldList2 = provider2.fields()
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fieldList = QgsFields()
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if not summary:
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fieldList2 = vector.testForUniqueness(fieldList1, fieldList2)
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seq = range(0, len(fieldList1) + len(fieldList2))
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fieldList1.extend(fieldList2)
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fieldList1 = dict(zip(seq, fieldList1))
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else:
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numFields = {}
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for j in xrange(len(fieldList2)):
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if fieldList2[j].type() == QVariant.Int or fieldList2[j].type() == QVariant.Double:
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numFields[j] = []
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for i in sumList:
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field = QgsField(i + unicode(fieldList2[j].name()), QVariant.Double, "real", 24, 16, "Summary field" )
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fieldList.append(field)
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field = QgsField("COUNT", QVariant.Double, "real", 24, 0, "Summary field" )
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fieldList.append(field)
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fieldList2 = vector.testForUniqueness(fieldList1, fieldList)
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fieldList1.extend(fieldList)
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seq = range(0, len(fieldList1))
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fieldList1 = dict(zip(seq, fieldList1))
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sRs = provider1.crs()
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progress.setPercentage(13)
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fields = QgsFields()
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for f in fieldList1.values():
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fields.append(f)
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output = self.getOutputFromName(self.OUTPUT)
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writer = output.getVectorWriter(fields, provider1.geometryType(), sRs)
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inFeat = QgsFeature()
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outFeat = QgsFeature()
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inFeatB = QgsFeature()
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inGeom = QgsGeometry()
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progress.setPercentage(15)
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start = 15.00
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add = 85.00 / provider1.featureCount()
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progress.setText('Creating spatial index...')
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index = vector.spatialindex(layer2)
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progress.setText('Processing spatial join...')
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fit1 = provider1.getFeatures()
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while fit1.nextFeature(inFeat):
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inGeom = inFeat.geometry()
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atMap1 = inFeat.attributes()
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outFeat.setGeometry(inGeom)
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none = True
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joinList = []
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if inGeom.type() == QGis.Point:
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joinList = index.intersects( inGeom.buffer(10,2).boundingBox() )
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if len(joinList) > 0: check = 0
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else: check = 1
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else:
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joinList = index.intersects( inGeom.boundingBox() )
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if len(joinList) > 0: check = 0
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else: check = 1
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if check == 0:
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count = 0
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for i in joinList:
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provider2.getFeatures( QgsFeatureRequest().setFilterFid( int(i) ) ).nextFeature( inFeatB )
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if inGeom.intersects(inFeatB.geometry()):
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count = count + 1
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none = False
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atMap2 = inFeatB.attributes()
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if not summary:
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atMap = atMap1
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atMap2 = atMap2
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atMap.extend(atMap2)
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atMap = dict(zip(seq, atMap))
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break
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else:
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for j in numFields.keys():
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numFields[j].append(atMap2[j])
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if summary and not none:
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atMap = atMap1
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for j in numFields.keys():
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for k in sumList:
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if k == "SUM": atMap.append(sum(numFields[j]))
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elif k == "MEAN": atMap.append(sum(numFields[j]) / count)
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elif k == "MIN": atMap.append(min(numFields[j]))
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elif k == "MED": atMap.append(myself(numFields[j]))
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else: atMap.append(max(numFields[j]))
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numFields[j] = []
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atMap.append(count)
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atMap = dict(zip(seq, atMap))
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if none:
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outFeat.setAttributes(atMap1)
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else:
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outFeat.setAttributes(atMap.values())
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if keep: # keep all records
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writer.addFeature(outFeat)
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else: # keep only matching records
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if not none:
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writer.addFeature(outFeat)
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start = start + add
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progress.setPercentage(start)
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del writer
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