git-svn-id: https://svn.d4science.research-infrastructures.eu/gcube/trunk/data-analysis/EcologicalEngine@55393 82a268e6-3cf1-43bd-a215-b396298e98cf
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@ -200,8 +200,8 @@ public class DiscrepancyAnalysis extends DataAnalysis {
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}
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@Override
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public String getContentType() {
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return HashMap.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.MAP;
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}
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@Override
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@ -324,8 +324,8 @@ public class DistributionQualityAnalysis extends DataAnalysis {
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@Override
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public String getContentType() {
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return HashMap.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.MAP;
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}
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@Override
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@ -315,8 +315,8 @@ public class HabitatRepresentativeness extends DataAnalysis {
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}
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@Override
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public String getContentType() {
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return HashMap.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.MAP;
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}
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@Override
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@ -3,6 +3,7 @@ package org.gcube.dataanalysis.ecoengine.interfaces;
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import java.util.HashMap;
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import org.gcube.dataanalysis.ecoengine.configuration.WEIGHT;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public interface ComputationalAgent {
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@ -20,7 +21,7 @@ public interface ComputationalAgent {
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public WEIGHT getWeight();
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// gets the type of the content inside the generator: String, File, HashMap.
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public String getContentType();
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public VARTYPE getContentType();
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// gets the content of the model: e.g. Table indications etc.
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public Object getContent();
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@ -4,6 +4,7 @@ import java.util.HashMap;
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import org.gcube.dataanalysis.ecoengine.configuration.ALG_PROPS;
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import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public interface Model {
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@ -43,7 +44,7 @@ public interface Model {
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public void stop();
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public String getContentType();
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public VARTYPE getContentType();
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public Object getContent();
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}
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@ -3,6 +3,7 @@ package org.gcube.dataanalysis.ecoengine.interfaces;
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import java.util.HashMap;
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import org.gcube.dataanalysis.ecoengine.configuration.ALG_PROPS;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public interface SpatialProbabilityDistribution {
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@ -19,7 +20,7 @@ public interface SpatialProbabilityDistribution {
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//set the input parameters for this generator
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public HashMap<String, VarCouple> getInputParameters();
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public String getContentType();
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public VARTYPE getContentType();
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public Object getContent();
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@ -7,6 +7,7 @@ import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.configuration.WEIGHT;
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import org.gcube.dataanalysis.ecoengine.interfaces.Model;
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import org.gcube.dataanalysis.ecoengine.interfaces.Modeler;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public class SimpleModeler implements Modeler{
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@ -72,7 +73,7 @@ public class SimpleModeler implements Modeler{
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return WEIGHT.LOWEST;
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}
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public String getContentType() {
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public VARTYPE getContentType() {
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return innermodel.getContentType();
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}
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@ -182,8 +182,8 @@ public class ModelAquamapsNN implements Model {
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status = 100f;
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}
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public String getContentType() {
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return File.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.FILE;
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}
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public Object getContent() {
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@ -187,8 +187,8 @@ public class ModelAquamapsNNNS implements Model {
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status = 100f;
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}
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public String getContentType() {
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return String.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.FILE;
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}
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public Object getContent() {
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@ -335,8 +335,8 @@ public class ModelHSPEN implements Model {
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// take ending time
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}
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public String getContentType() {
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return String.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.HSPEN;
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}
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public Object getContent() {
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@ -19,6 +19,7 @@ import org.gcube.dataanalysis.ecoengine.connectors.livemonitor.ResourceLoad;
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import org.gcube.dataanalysis.ecoengine.connectors.livemonitor.Resources;
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import org.gcube.dataanalysis.ecoengine.interfaces.Generator;
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import org.gcube.dataanalysis.ecoengine.interfaces.SpatialProbabilityDistributionGeneric;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public class LocalSimpleSplitGenerator implements Generator {
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@ -337,7 +338,7 @@ public class LocalSimpleSplitGenerator implements Generator {
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}
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@Override
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public String getContentType() {
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public VARTYPE getContentType() {
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return distributionModel.getContentType();
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}
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@ -22,6 +22,7 @@ import org.gcube.dataanalysis.ecoengine.connectors.livemonitor.Resources;
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import org.gcube.dataanalysis.ecoengine.interfaces.Generator;
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import org.gcube.dataanalysis.ecoengine.interfaces.SpatialProbabilityDistributionTable;
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import org.gcube.dataanalysis.ecoengine.utils.DatabaseFactory;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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import org.hibernate.SessionFactory;
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@ -496,8 +497,8 @@ public class LocalSplitGenerator implements Generator {
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}
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@Override
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public String getContentType() {
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return String.class.getName();
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public VARTYPE getContentType() {
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return distributionModel.getContentType();
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}
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@Override
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@ -196,8 +196,8 @@ public class RainyCloudGenerator implements Generator {
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}
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@Override
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public String getContentType() {
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return String.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.HSPEC;
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}
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@Override
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@ -206,10 +206,10 @@ public class AquamapsSuitable implements SpatialProbabilityDistributionTable{
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@Override
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public HashMap<String, VarCouple> getInputParameters() {
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HashMap<String, VarCouple> parameters = new HashMap<String,VarCouple>();
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parameters.put("EnvelopeTable", new VarCouple(VARTYPE.STRING,"hspen"));
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parameters.put("CsquarecodesTable", new VarCouple(VARTYPE.STRING,"hcaf_d"));
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parameters.put("EnvelopeTable", new VarCouple(VARTYPE.HSPEN,"hspen"));
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parameters.put("CsquarecodesTable", new VarCouple(VARTYPE.HCAF,"hcaf_d"));
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parameters.put("DistributionTable", new VarCouple(VARTYPE.RANDOM,"hspec_"));
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parameters.put("PreprocessedTable", new VarCouple(VARTYPE.STRING,"maxminlat_hspen"));
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parameters.put("PreprocessedTable", new VarCouple(VARTYPE.MINMAXLAT,"maxminlat_hspen"));
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parameters.put("CreateTable", new VarCouple(VARTYPE.STRING,"true"));
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parameters.put("DatabaseUserName",new VarCouple(VARTYPE.DATABASEUSERNAME,""));
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parameters.put("DatabasePassword",new VarCouple(VARTYPE.DATABASEPASSWORD,""));
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@ -220,8 +220,8 @@ public class AquamapsSuitable implements SpatialProbabilityDistributionTable{
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}
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@Override
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public String getContentType() {
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return String.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.HSPEC;
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}
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@Override
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@ -14,6 +14,7 @@ import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
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import org.gcube.dataanalysis.ecoengine.configuration.ALG_PROPS;
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import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.interfaces.SpatialProbabilityDistributionGeneric;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public class DummyAlgorithm implements SpatialProbabilityDistributionGeneric{
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@ -197,8 +198,8 @@ public class DummyAlgorithm implements SpatialProbabilityDistributionGeneric{
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}
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@Override
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public String getContentType() {
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return File.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.FILE;
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}
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@Override
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@ -14,6 +14,7 @@ import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
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import org.gcube.dataanalysis.ecoengine.configuration.ALG_PROPS;
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import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.interfaces.SpatialProbabilityDistributionGeneric;
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import org.gcube.dataanalysis.ecoengine.utils.VARTYPE;
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import org.gcube.dataanalysis.ecoengine.utils.VarCouple;
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public class TestAlgorithm implements SpatialProbabilityDistributionGeneric{
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@ -144,8 +145,8 @@ public class TestAlgorithm implements SpatialProbabilityDistributionGeneric{
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}
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@Override
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public String getContentType() {
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return File.class.getName();
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public VARTYPE getContentType() {
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return VARTYPE.FILE;
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}
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@Override
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@ -112,7 +112,7 @@ public static void main(String[] args) throws Exception {
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config.setParam("DistributionTable","hspec_suitable_test_gp");
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config.setParam("CsquarecodesTable","hcaf_d");
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config.setParam("EnvelopeTable","hspen");
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config.setParam("EnvelopeTable","hspen_micro");
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config.setParam("PreprocessedTable", "maxminlat_hspen");
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config.setParam("CreateTable","true");
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@ -10,5 +10,12 @@ public enum VARTYPE {
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DATABASEDRIVER,
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DATABASEDIALECT,
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CONSTANT,
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RANDOM
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RANDOM,
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HSPEN,
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HCAF,
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HSPEC,
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OCCURRENCE,
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MINMAXLAT,
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FILE,
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MAP
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}
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