def __init__(self):
GeoAlgorithm.__init__(self)
#the dialog where this model is being edited
self.modelerdialog = None
self.descriptionFile = None
#Geoalgorithms in this model
self.algs = []
#parameters of Geoalgorithms in self.algs.
#Each entry is a map with (paramname, paramvalue) values for algs[i].
#paramvalues are instances of AlgorithmAndParameter
self.algParameters = []
#algorithms that each algorithm depends on.
#This is just a list of dependencies not set by outputs and inputs
#but explicitely entered instead, meaning that an algorithm must ''wait''
#for another to finish
#Each entry is a list with algorithm indexes
self.dependencies = []
#outputs of Geoalgorithms in self.algs.
#Each entry is a map with (output, outputvalue) values for algs[i].
#outputvalue is the name of the output if final. None if is an intermediate output
self.algOutputs = []
#Hardcoded parameter values entered by the user when defining the model. Keys are value names.
self.paramValues = {}
#position of items in canvas
self.algPos = []
self.paramPos = []
#deactivated algorithms that should not be executed
self.deactivated = []
def __init__(self, descriptionfile):
GeoAlgorithm.__init__(self)
self.roiFile = None
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
self.numExportedLayers = 0
self.hasROI = None
def __init__(self):
GeoAlgorithm.__init__(self)
#the dialog where this model is being edited
self.modelerdialog = None
self.descriptionFile = None
#Geoalgorithms in this model
self.algs = []
#parameters of Geoalgorithms in self.algs.
#Each entry is a map with (paramname, paramvalue) values for algs[i].
#paramvalues are instances of AlgorithmAndParameter
self.algParameters = []
#algorithms that each algorithm depends on.
#This is just a list of dependencies not set by outputs and inputs
#but explicitely entered instead, meaning that an algorithm must ''wait''
#for another to finish
#Each entry is a list with algorithm indexes
self.dependencies = []
#outputs of Geoalgorithms in self.algs.
#Each entry is a map with (output, outputvalue) values for algs[i].
#outputvalue is the name of the output if final. None if is an intermediate output
self.algOutputs = []
#Hardcoded parameter values entered by the user when defining the model. Keys are value names.
self.paramValues = {}
#position of items in canvas
self.algPos = []
self.paramPos = []
#deactivated algorithms that should not be executed
self.deactivated = []
def __init__(self, descriptionfile):
GeoAlgorithm.__init__(self)
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
self.numExportedLayers = 0
#GRASS console output, needed to do postprocessing in case GRASS dumps results to the console
self.consoleOutput = []
def __init__(self, descriptionfile):
GeoAlgorithm.__init__(self)
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
self.numExportedLayers = 0
#GRASS console output, needed to do postprocessing in case GRASS dumps results to the console
self.consoleOutput = []
def __init__(self):
GeoAlgorithm.__init__(self)
#the dialog where this model is being edited
self.modelerdialog = None
self.descriptionFile = None
#Geoalgorithms in this model
self.algs = []
#parameters of Geoalgorithms in self.algs.
#Each entry is a map with (paramname, paramvalue) values for algs[i].
#paramvalues are instances of AlgorithmAndParameter
self.algParameters = []
#outputs of Geoalgorithms in self.algs.
#Each entry is a map with (output, outputvalue) values for algs[i].
#outputvalue is the name of the output if final. None if is an intermediate output
self.algOutputs = []
#Hardcoded parameter values entered by the user when defining the model. Keys are value names.
self.paramValues = {}
#position of items in canvas
self.algPos = []
self.paramPos = []
#deactivated algorithms that should not be executed
self.deactivated = []
def __init__(self, descriptionfile):
GeoAlgorithm.__init__(self)
self.roiFile = None
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
self.numExportedLayers = 0
self.hasROI = None;
def __init__(self):
GeoAlgorithm.__init__(self)
# the dialog where this model is being edited
self.modelerdialog = None
self.descriptionFile = None
# Geoalgorithms in this model
self.algs = []
# parameters of Geoalgorithms in self.algs.
# Each entry is a map with (paramname, paramvalue) values for algs[i].
# paramvalues are instances of AlgorithmAndParameter
self.algParameters = []
# outputs of Geoalgorithms in self.algs.
# Each entry is a map with (output, outputvalue) values for algs[i].
# outputvalue is the name of the output if final. None if is an intermediate output
self.algOutputs = []
# Hardcoded parameter values entered by the user when defining the model. Keys are value names.
self.paramValues = {}
# position of items in canvas
self.algPos = []
self.paramPos = []
# deactivated algorithms that should not be executed
self.deactivated = []
def __init__(self, descriptionFile, script=None):
GeoAlgorithm.__init__(self)
self.script = script
self.descriptionFile = descriptionFile
if script is not None:
self.defineCharacteristicsFromScript()
if descriptionFile is not None:
self.defineCharacteristicsFromFile()
def __init__(self, descriptionFile, script=None):
GeoAlgorithm.__init__(self)
self.script = script
self.descriptionFile = descriptionFile
if script is not None:
self.defineCharacteristicsFromScript()
if descriptionFile is not None:
self.defineCharacteristicsFromFile()
def __init__(self, descriptionfile):
self.resample = True #True if it should resample
#in case several non-matching raster layers are used as input
GeoAlgorithm.__init__(self)
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
if self.resample:
#reconsider resampling policy now that we know the input parameters
self.resample = self.setResamplingPolicy()
def __init__(self, descriptionfile):
self.resample = True #True if it should resample
#in case several non-matching raster layers are used as input
GeoAlgorithm.__init__(self)
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
if self.resample:
#reconsider resampling policy now that we know the input parameters
self.resample = self.setResamplingPolicy()
def __init__(self, descriptionFile, script=None):
'''The script parameter can be used to directly pass the code of the script without a file.
This is to be used from the script edition dialog, but should not be used in other cases'''
GeoAlgorithm.__init__(self)
self.script = script
self.descriptionFile = descriptionFile
if script is not None:
self.defineCharacteristicsFromScript()
if descriptionFile is not None:
self.defineCharacteristicsFromFile()
def __init__(self, descriptionFile, script=None):
'''The script parameter can be used to directly pass the code of the script without a file.
This is to be used from the script edition dialog, but should not be used in other cases'''
GeoAlgorithm.__init__(self)
self.script = script
self.descriptionFile = descriptionFile
if script is not None:
self.defineCharacteristicsFromScript()
if descriptionFile is not None:
self.defineCharacteristicsFromFile()
def __init__(self, descriptionfile):
GeoAlgorithm.__init__(self)
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
def __init__(self, descriptionfile):
GeoAlgorithm.__init__(self)
self.descriptionFile = descriptionfile
self.defineCharacteristicsFromFile()
def __init__(self, process, bookmark=False):
self.process = process
self.bookmark = bookmark
GeoAlgorithm.__init__(self) #calls defineCharacteristics
def __init__(self, process, bookmark = False):
self.process = process
self.bookmark = bookmark
GeoAlgorithm.__init__(self) #calls defineCharacteristics
