aboutsummaryrefslogtreecommitdiffstats
path: root/Tests/MODELS2020-CaseStudies/models20.diversity-calculator/xtend-gen/hu/bme/mit/inf/dslreasoner/diversitycalculator/MeasureInternalDiversity.java
blob: e1552b2f2d3ce0c52ba27200c448b5df11aa609e (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
package hu.bme.mit.inf.dslreasoner.diversitycalculator;

import hu.bme.mit.inf.dslreasoner.ecore2logic.Ecore2Logic;
import hu.bme.mit.inf.dslreasoner.ecore2logic.Ecore2LogicConfiguration;
import hu.bme.mit.inf.dslreasoner.ecore2logic.Ecore2Logic_Trace;
import hu.bme.mit.inf.dslreasoner.ecore2logic.EcoreMetamodelDescriptor;
import hu.bme.mit.inf.dslreasoner.ecore2logic.ecore2logicannotations.Ecore2logicannotationsPackage;
import hu.bme.mit.inf.dslreasoner.logic.model.builder.TracedOutput;
import hu.bme.mit.inf.dslreasoner.logic.model.logiclanguage.LogiclanguagePackage;
import hu.bme.mit.inf.dslreasoner.logic.model.logicproblem.LogicProblem;
import hu.bme.mit.inf.dslreasoner.logic.model.logicproblem.LogicproblemPackage;
import hu.bme.mit.inf.dslreasoner.viatra2logic.viatra2logicannotations.Viatra2LogicAnnotationsPackage;
import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretation2logic.InstanceModel2PartialInterpretation;
import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.neighbourhood.AbstractNodeDescriptor;
import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.neighbourhood.NeighbourhoodWithTraces;
import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.neighbourhood.PartialInterpretation2ImmutableTypeLattice;
import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.partialinterpretation.PartialInterpretation;
import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.partialinterpretation.PartialinterpretationPackage;
import hu.bme.mit.inf.dslreasoner.workspace.FileSystemWorkspace;
import java.io.File;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import org.eclipse.emf.ecore.EObject;
import org.eclipse.emf.ecore.resource.Resource;
import org.eclipse.emf.ecore.xmi.impl.XMIResourceFactoryImpl;
import org.eclipse.xtend2.lib.StringConcatenation;
import org.eclipse.xtext.xbase.lib.Conversions;
import org.eclipse.xtext.xbase.lib.Exceptions;
import org.eclipse.xtext.xbase.lib.ExclusiveRange;
import org.eclipse.xtext.xbase.lib.Functions.Function1;
import org.eclipse.xtext.xbase.lib.InputOutput;
import org.eclipse.xtext.xbase.lib.IterableExtensions;

@SuppressWarnings("all")
public class MeasureInternalDiversity {
  private static final InstanceModel2PartialInterpretation partialInterpretation2Logic = new InstanceModel2PartialInterpretation();
  
  private static final PartialInterpretation2ImmutableTypeLattice neiguboirhoodComputer = new PartialInterpretation2ImmutableTypeLattice();
  
  private static final Ecore2Logic ecore2Logic = new Ecore2Logic();
  
  private static Object init() {
    Object _xblockexpression = null;
    {
      LogiclanguagePackage.eINSTANCE.getClass();
      LogicproblemPackage.eINSTANCE.getClass();
      PartialinterpretationPackage.eINSTANCE.getClass();
      Ecore2logicannotationsPackage.eINSTANCE.getClass();
      Viatra2LogicAnnotationsPackage.eINSTANCE.getClass();
      Map<String, Object> _extensionToFactoryMap = Resource.Factory.Registry.INSTANCE.getExtensionToFactoryMap();
      XMIResourceFactoryImpl _xMIResourceFactoryImpl = new XMIResourceFactoryImpl();
      _xblockexpression = _extensionToFactoryMap.put("*", _xMIResourceFactoryImpl);
    }
    return _xblockexpression;
  }
  
  public static void main(final String[] args) {
    MeasureInternalDiversity.init();
  }
  
  public static void run(final EcoreMetamodelDescriptor metamodel, final String path, final String scenario) {
    final int range = 20;
    MeasureInternalDiversity.measureDiversity(metamodel, scenario, path, range);
  }
  
  public static void measureDiversity(final EcoreMetamodelDescriptor metamodel, final String scenario, final String path, final int depth) {
    final File file = new File(path);
    boolean _isDirectory = file.isDirectory();
    if (_isDirectory) {
      final String[] subfiles = file.list();
      final Function1<String, Boolean> _function = (String it) -> {
        return Boolean.valueOf(it.endsWith(".xmi"));
      };
      final Iterable<String> xmiSubfiles = IterableExtensions.<String>filter(((Iterable<String>)Conversions.doWrapArray(subfiles)), _function);
      boolean _isEmpty = IterableExtensions.isEmpty(xmiSubfiles);
      boolean _not = (!_isEmpty);
      if (_not) {
        final Function1<String, File> _function_1 = (String it) -> {
          return new File(((path + "/") + it));
        };
        MeasureInternalDiversity.measureDiversity(metamodel, scenario, file, IterableExtensions.<File>toList(IterableExtensions.<String, File>map(xmiSubfiles, _function_1)), path, depth);
      } else {
        for (final String subfile : subfiles) {
          MeasureInternalDiversity.measureDiversity(metamodel, scenario, ((path + "/") + subfile), depth);
        }
      }
    } else {
      boolean _isFile = file.isFile();
      if (_isFile) {
      }
    }
  }
  
  public static void measureDiversity(final EcoreMetamodelDescriptor metamodel, final String scenario, final File parent, final List<File> files, final String path, final int depth) {
    final FileSystemWorkspace workspace = new FileSystemWorkspace(path, "");
    for (final File file : files) {
      {
        Ecore2LogicConfiguration _ecore2LogicConfiguration = new Ecore2LogicConfiguration();
        final TracedOutput<LogicProblem, Ecore2Logic_Trace> metamodelTransformationOutput = MeasureInternalDiversity.ecore2Logic.transformMetamodel(metamodel, _ecore2LogicConfiguration);
        final EObject model = workspace.<EObject>readModel(EObject.class, file.getName());
        final PartialInterpretation partialModel = MeasureInternalDiversity.partialInterpretation2Logic.transform(metamodelTransformationOutput, model.eResource(), false);
        final LinkedList<Map<? extends AbstractNodeDescriptor, Integer>> list = MeasureInternalDiversity.representationList(partialModel, depth);
        try {
          final String runIndex = MeasureInternalDiversity.runIndex(file.getName());
          final String modelIndex = MeasureInternalDiversity.modelIndex(file.getName());
          StringConcatenation _builder = new StringConcatenation();
          _builder.append(scenario);
          _builder.append(";");
          _builder.append(runIndex);
          _builder.append(";");
          _builder.append(modelIndex);
          InputOutput.<String>print(_builder.toString());
        } catch (final Throwable _t) {
          if (_t instanceof Exception) {
            StringConcatenation _builder_1 = new StringConcatenation();
            _builder_1.append(scenario);
            _builder_1.append(";0;");
            String _name = file.getName();
            _builder_1.append(_name);
            InputOutput.<String>print(_builder_1.toString());
          } else {
            throw Exceptions.sneakyThrow(_t);
          }
        }
        int _size = list.size();
        ExclusiveRange _doubleDotLessThan = new ExclusiveRange(0, _size, true);
        for (final Integer i : _doubleDotLessThan) {
          StringConcatenation _builder = new StringConcatenation();
          _builder.append(";");
          int _size_1 = list.get((i).intValue()).keySet().size();
          _builder.append(_size_1);
          InputOutput.<String>print(_builder.toString());
        }
        int _size_2 = list.getLast().keySet().size();
        double _multiply = (_size_2 * 1.0);
        int _size_3 = partialModel.getNewElements().size();
        double _divide = (_multiply / _size_3);
        String _plus = (";" + Double.valueOf(_divide));
        InputOutput.<String>print(_plus);
        InputOutput.println();
      }
    }
  }
  
  protected static String runIndex(final String name) {
    return IterableExtensions.<String>head(((Iterable<String>)Conversions.doWrapArray(name.split("\\.")))).split("_")[1];
  }
  
  protected static String modelIndex(final String name) {
    return IterableExtensions.<String>head(((Iterable<String>)Conversions.doWrapArray(name.split("\\.")))).split("_")[2];
  }
  
  protected static LinkedList<Map<? extends AbstractNodeDescriptor, Integer>> representationList(final PartialInterpretation partialModel, final int depth) {
    final LinkedList<Map<? extends AbstractNodeDescriptor, Integer>> list = new LinkedList<Map<? extends AbstractNodeDescriptor, Integer>>();
    ExclusiveRange _doubleDotLessThan = new ExclusiveRange(0, depth, true);
    for (final Integer i : _doubleDotLessThan) {
      {
        final NeighbourhoodWithTraces<Map<? extends AbstractNodeDescriptor, Integer>, AbstractNodeDescriptor> neighbourhood = MeasureInternalDiversity.neiguboirhoodComputer.createRepresentation(partialModel, (i).intValue(), 0, 0);
        list.add(neighbourhood.getModelRepresentation());
      }
    }
    return list;
  }
}