source: mauRepo/MolesManager/trunk/src/ea_model/iso_19156_2011_observations_and_measurements/domain_specific_sampling_features/swath.py @ 8091

from ea_model.iso_19156_2011_observations_and_measurements.sampling_features.samplingsurface.sf_samplingsurface import  SF_SamplingSurface 
from ascore.utils import has_value

'''
Created on 16-Feb-2012 16:18:11

@author: mnagni
'''

class Swath(SF_SamplingSurface):
    '''
        Represents a data entity defined in a UML diagram and supposed to 
        be persisted in a relational database. 
 
        This class has been genererated automatically using the Apache Velocity project.
    '''
    '''
        Please note that any access to the inner attributes should be done using 
        the given get/set methods and NOT accessing them directly.
    '''
    def __init__(self):
        self._sf_samplingsurface = SF_SamplingSurface()         

        self._relatedObservation_om_discretecoverageobservation = []
        self._relatedObservation_om_temporalobservation = []
        self._relatedObservation_om_measurement = []
        self._relatedObservation_mo_observation = []
        self._relatedObservation_om_truthobservation = []
        self._relatedObservation_om_countobservation = []
        self._relatedObservation_om_categoryobservation = []
        self._relatedObservation_om_geometryobservation = []
        self._relatedObservation_om_complexobservation = []
        self.lineage = None
        self._relatedSamplingFeature_sf_spatialsamplingfeature = []
        self._relatedSamplingFeature_sf_specimen = []
        self._propertyValueProvider_om_discretecoverageobservation = []
        self._propertyValueProvider_om_temporalobservation = []
        self._propertyValueProvider_om_measurement = []
        self._propertyValueProvider_mo_observation = []
        self._propertyValueProvider_om_truthobservation = []
        self._propertyValueProvider_om_countobservation = []
        self._propertyValueProvider_om_categoryobservation = []
        self._propertyValueProvider_om_geometryobservation = []
        self._propertyValueProvider_om_complexobservation = []
        self._positionalAccuracy_dq_griddeddatapositionalaccuracy = []
        self._positionalAccuracy_dq_relativeinternalpositionalaccuracy = []
        self._positionalAccuracy_dq_absoluteexternalpositionalaccuracy = []
        self.sampledFeature = []
        self._sampledFeature_sf_samplingfeature = []
        self._sampledFeature_mo_featureofinterest = []
        self._sampledFeature_gfi_domainfeature = []
        self._shape_gm_complex = None
        self._shape_gm_primitive = None
        self._shape_gm_aggregate = None
        self.shape = None
        self.hostedProcedure = []
        self.parameter = []
        super(Swath, self).__init__()

    @property
    def relatedObservation(self):       
        return self._sf_samplingsurface.relatedObservation

    @relatedObservation.setter
    def relatedObservation(self, value):        
            self._sf_samplingsurface.relatedObservation = value

    @property
    def lineage(self):  
        return self._sf_samplingsurface.lineage

    @lineage.setter
    def lineage(self, value):   
            self._sf_samplingsurface.lineage = value

    @property
    def relatedSamplingFeature(self):   
        return self._sf_samplingsurface.relatedSamplingFeature

    @relatedSamplingFeature.setter
    def relatedSamplingFeature(self, value):    
            self._sf_samplingsurface.relatedSamplingFeature = value

    @property
    def propertyValueProvider(self):    
        return self._sf_samplingsurface.propertyValueProvider

    @propertyValueProvider.setter
    def propertyValueProvider(self, value):     
            self._sf_samplingsurface.propertyValueProvider = value

    @property
    def positionalAccuracy(self):       
        return self._sf_samplingsurface.positionalAccuracy

    @positionalAccuracy.setter
    def positionalAccuracy(self, value):        
            self._sf_samplingsurface.positionalAccuracy = value

    @property
    def sampledFeature(self):   
        return self._sf_samplingsurface.sampledFeature

    @sampledFeature.setter
    def sampledFeature(self, value):    
            self._sf_samplingsurface.sampledFeature = value

    @property
    def sampledFeature(self):   
        return self._sf_samplingsurface.sampledFeature

    @sampledFeature.setter
    def sampledFeature(self, value):    
            self._sf_samplingsurface.sampledFeature = value

    @property
    def shape(self):    
        return self._sf_samplingsurface.shape

    @shape.setter
    def shape(self, value):     
            self._sf_samplingsurface.shape = value

    @property
    def shape(self):    
        return self._sf_samplingsurface.shape

    @shape.setter
    def shape(self, value):     
            self._sf_samplingsurface.shape = value

    @property
    def hostedProcedure(self):  
        return self._sf_samplingsurface.hostedProcedure

    @hostedProcedure.setter
    def hostedProcedure(self, value):   
            self._sf_samplingsurface.hostedProcedure = value

    @property
    def parameter(self):        
        return self._sf_samplingsurface.parameter

    @parameter.setter
    def parameter(self, value): 
            self._sf_samplingsurface.parameter = value

    def __key(self):
        return (self.relatedObservation, self.lineage, self.relatedSamplingFeature, self.propertyValueProvider, self.positionalAccuracy, self.sampledFeature, self.sampledFeature, self.shape, self.shape, self.hostedProcedure, self.parameter)

    def __eq__(self, y):
        '''
        Cannot compare classes which do not define a "__key" attribute 
        '''
        if hasattr(self, '_%s__key' % (type(self).__name__)) and hasattr(y, '_%s__key' % (type(y).__name__)):
            return self.__key() == y.__key()
        return id(self) == id(y)

    def __hash__(self):
        return hash(self.__key())