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			50 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			50 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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    v_net_salesman.py
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    ---------------------
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    Date                 : December 2015
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    Copyright            : (C) 2015 by Médéric Ribreux
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    Email                : medspx at medspx dot fr
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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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__author__ = 'Médéric Ribreux'
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__date__ = 'December 2015'
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__copyright__ = '(C) 2015, Médéric Ribreux'
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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.parameters import getParameterFromString
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from .v_net import incorporatePoints
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from copy import deepcopy
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def processCommand(alg, parameters):
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    # We temporary remove the output 'sequence'
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    new_parameters = deepcopy(parameters)
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    sequence = alg.getOutputFromName(u'sequence')
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    sequenceFile = alg.getOutputValue(u'sequence')
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    alg.exportedLayers[sequence.value] = sequence.name + alg.uniqueSuffix
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    alg.removeOutputFromName(u'sequence')
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    # We create a new parameter with the same name
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    param = getParameterFromString(u"ParameterString|sequence|sequence|None|False|False")
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    new_parameters[param.name()] = sequenceFile
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    # Let's do the incorporation and command generation
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    incorporatePoints(alg, new_parameters, context)
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    # then we delete the input parameter and add the old output
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    alg.addOutput(sequence)
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