Package it.unimi.dsi.fastutil.ints

Examples of it.unimi.dsi.fastutil.ints.IntArrayList

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
    loopname = 0;
    for (final String name : curveNamesSet) { // loop over all curves (by name)
      final YieldAndDiscountCurve curve = bundle.getCurve(name);
      final List<String> underlyingCurveNames = curve.getUnderlyingCurvesNames();
      nbNewParameters[loopname] = curve.getNumberOfParameters();
      final IntArrayList indexOtherList = new IntArrayList();
      for (final String u : underlyingCurveNames) {
        final Integer i = curveNum.get(u);
        if (i != null) {
          indexOtherList.add(i);
          nbNewParameters[loopname] -= nbNewParameters[i];
        }
      }
      indexOther[loopname] = indexOtherList.toIntArray();
      loopname++;
    }
    int nbSensiCurve = 0;
    for (final String name : bundle.getAllNames()) { // loop over all curves (by name)
      if (!fixedCurves.contains(name)) {
        nbSensiCurve++;
      }
    }
    final int[] nbNewParamSensiCurve = new int[nbSensiCurve];
    // Implementation note: nbNewParamSensiCurve
    final int[][] indexOtherSensiCurve = new int[nbSensiCurve][];
    // Implementation note: indexOtherSensiCurve -
    final int[] startCleanParameter = new int[nbSensiCurve];
    // Implementation note: startCleanParameter - for each curve for which the sensitivity should be computed, the index in the total sensitivity vector at which that curve start.
    final int[][] startDirtyParameter = new int[nbSensiCurve][];
    // Implementation note: startDirtyParameter - for each curve for which the sensitivity should be computed, the indexes of the underlying curves.
    int nbSensitivityCurve = 0;
    int nbCleanParameters = 0;
    int currentDirtyStart = 0;
    for (final String name : curveNamesSet) { // loop over all curves (by name)
      if (!fixedCurves.contains(name)) {
        final int num = curveNum.get(name);
        final YieldAndDiscountCurve curve = bundle.getCurve(name);
        final IntArrayList startDirtyParameterList = new IntArrayList();
        final List<String> underlyingCurveNames = curve.getUnderlyingCurvesNames();
        for (final String u : underlyingCurveNames) {
          final Integer i = curveNum.get(u);
          if (i != null) {
            startDirtyParameterList.add(currentDirtyStart);
            currentDirtyStart += nbNewParameters[i];
          }
        }
        startDirtyParameterList.add(currentDirtyStart);
        currentDirtyStart += nbNewParameters[nbSensitivityCurve];
        startDirtyParameter[nbSensitivityCurve] = startDirtyParameterList.toIntArray();
        nbNewParamSensiCurve[nbSensitivityCurve] = nbNewParameters[num];
        indexOtherSensiCurve[nbSensitivityCurve] = indexOther[num];
        startCleanParameter[nbSensitivityCurve] = nbCleanParameters;
        nbCleanParameters += nbNewParamSensiCurve[nbSensitivityCurve];
        nbSensitivityCurve++;
View Full Code Here
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
    loopname = 0;
    for (final String name : curveNamesSet) { // loop over all curves (by name)
      final YieldAndDiscountCurve curve = bundle.getCurve(name);
      final List<String> underlyingCurveNames = curve.getUnderlyingCurvesNames();
      nbNewParameters[loopname] = curve.getNumberOfParameters();
      final IntArrayList indexOtherList = new IntArrayList();
      for (final String u : underlyingCurveNames) {
        final Integer i = curveNum.get(u);
        if (i != null) {
          indexOtherList.add(i);
          nbNewParameters[loopname] -= nbNewParameters[i];
        }
      }
      indexOther[loopname] = indexOtherList.toIntArray();
      loopname++;
    }
    loopname = 0;
    for (final String name : bundle.getAllNames()) { // loop over all curves (by name)
      if (!fixedCurves.contains(name)) {
        loopname++;
      }
    }
    final int nbSensitivityCurve = loopname;
    final int[] nbNewParamSensiCurve = new int[nbSensitivityCurve];
    // Implementation note: nbNewParamSensiCurve
    final int[][] indexOtherSensiCurve = new int[nbSensitivityCurve][];
    // Implementation note: indexOtherSensiCurve -
    // int[] startCleanParameter = new int[nbSensitivityCurve];
    // Implementation note: startCleanParameter - for each curve for which the sensitivity should be computed, the index in the total sensitivity vector at which that curve start.
    final int[][] startDirtyParameter = new int[nbSensitivityCurve][];
    // Implementation note: startDirtyParameter - for each curve for which the sensitivity should be computed, the indexes of the underlying curves.
    //int nbCleanParameters = 0;
    int currentDirtyStart = 0;
    loopname = 0;
    for (final String name : curveNamesSet) { // loop over all curves (by name)
      if (!fixedCurves.contains(name)) {
        final int num = curveNum.get(name);
        final YieldAndDiscountCurve curve = bundle.getCurve(name);
        final IntArrayList startDirtyParameterList = new IntArrayList();
        final List<String> underlyingCurveNames = curve.getUnderlyingCurvesNames();
        for (final String u : underlyingCurveNames) {
          final Integer i = curveNum.get(u);
          if (i != null) {
            startDirtyParameterList.add(currentDirtyStart);
            currentDirtyStart += nbNewParameters[i];
          }
        }
        startDirtyParameterList.add(currentDirtyStart);
        currentDirtyStart += nbNewParameters[loopname];
        startDirtyParameter[loopname] = startDirtyParameterList.toIntArray();
        nbNewParamSensiCurve[loopname] = nbNewParameters[num];
        indexOtherSensiCurve[loopname] = indexOther[num];
        // startCleanParameter[loopname] = nbCleanParameters;
        //nbCleanParameters += nbNewParamSensiCurve[loopname];
        loopname++;
View Full Code Here
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
      loopname++;
    }
    loopname = 0;
    for (final String name : curveNamesSet) { // loop over all curves (by name)
      final List<String> underlyingCurveNames = inflation.getUnderlyingCurvesNames(name);
      final IntArrayList indexOtherList = new IntArrayList();
      for (final String u : underlyingCurveNames) {
        final Integer i = curveNum.get(u);
        if (i != null) {
          indexOtherList.add(i);
          nbNewParameters[loopname] -= nbNewParameters[i]; // Only one level: a curve used as an underlying can not have an underlying itself.
        }
      }
      indexOther[loopname] = indexOtherList.toIntArray();
      loopname++;
    }
    final int nbSensiCurve = curvesSet.size();
    //    for (final String name : curveNamesSet) { // loop over all curves (by name)
    //      if (curvesSet.contains(name)) {
    //        nbSensiCurve++;
    //      }
    //    }
    final int[] nbNewParamSensiCurve = new int[nbSensiCurve];
    // Implementation note: nbNewParamSensiCurve
    final int[][] indexOtherSensiCurve = new int[nbSensiCurve][];
    // Implementation note: indexOtherSensiCurve -
    final int[] startCleanParameter = new int[nbSensiCurve];
    // Implementation note: startCleanParameter - for each curve for which the sensitivity should be computed, the index in the total sensitivity vector at which that curve start.
    final int[][] startDirtyParameter = new int[nbSensiCurve][];
    // Implementation note: startDirtyParameter - for each curve for which the sensitivity should be computed, the indexes of the underlying curves.
    int nbSensitivityCurve = 0;
    int nbCleanParameters = 0;
    int currentDirtyStart = 0;
    for (final String name : curvesSet) { // loop over all curves (by name)
      //      if (curvesSet.contains(name)) {
      final int num = curveNum.get(name);
      final IntArrayList startDirtyParameterList = new IntArrayList();
      final List<String> underlyingCurveNames = inflation.getUnderlyingCurvesNames(name);
      for (final String u : underlyingCurveNames) {
        final Integer i = curveNum.get(u);
        if (i != null) {
          startDirtyParameterList.add(currentDirtyStart);
          currentDirtyStart += nbNewParameters[i];
        }
      }
      startDirtyParameterList.add(currentDirtyStart);
      currentDirtyStart += nbNewParameters[num];
      startDirtyParameter[nbSensitivityCurve] = startDirtyParameterList.toIntArray();
      nbNewParamSensiCurve[nbSensitivityCurve] = nbNewParameters[num];
      indexOtherSensiCurve[nbSensitivityCurve] = indexOther[num];
      startCleanParameter[nbSensitivityCurve] = nbCleanParameters;
      nbCleanParameters += nbNewParamSensiCurve[nbSensitivityCurve];
      nbSensitivityCurve++;
View Full Code Here
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
      loopname++;
    }
    loopname = 0;
    for (final String name : curveNamesSet) { // loop over all curves (by name)
      final List<String> underlyingCurveNames = multicurves.getUnderlyingCurvesNames(name);
      final IntArrayList indexOtherList = new IntArrayList();
      for (final String u : underlyingCurveNames) {
        final Integer i = curveNum.get(u);
        if (i != null) {
          indexOtherList.add(i);
          nbNewParameters[loopname] -= nbNewParameters[i]; // Only one level: a curve used as an underlying can not have an underlying itself.
        }
      }
      indexOther[loopname] = indexOtherList.toIntArray();
      loopname++;
    }
    final int nbSensiCurve = curvesSet.size();
    //    for (final String name : curveNamesSet) { // loop over all curves (by name)
    //      if (curvesSet.contains(name)) {
    //        nbSensiCurve++;
    //      }
    //    }
    final int[] nbNewParamSensiCurve = new int[nbSensiCurve];
    // Implementation note: nbNewParamSensiCurve
    final int[][] indexOtherSensiCurve = new int[nbSensiCurve][];
    // Implementation note: indexOtherSensiCurve -
    final int[] startCleanParameter = new int[nbSensiCurve];
    // Implementation note: startCleanParameter - for each curve for which the sensitivity should be computed, the index in the total sensitivity vector at which that curve start.
    final int[][] startDirtyParameter = new int[nbSensiCurve][];
    // Implementation note: startDirtyParameter - for each curve for which the sensitivity should be computed, the indexes of the underlying curves.
    int nbSensitivityCurve = 0;
    int nbCleanParameters = 0;
    int currentDirtyStart = 0;
    for (final String name : curvesSet) { // loop over all curves (by name)
      //      if (curvesSet.contains(name)) {
      final int num = curveNum.get(name);
      final IntArrayList startDirtyParameterList = new IntArrayList();
      final List<String> underlyingCurveNames = multicurves.getUnderlyingCurvesNames(name);
      for (final String u : underlyingCurveNames) {
        final Integer i = curveNum.get(u);
        if (i != null) {
          startDirtyParameterList.add(currentDirtyStart);
          currentDirtyStart += nbNewParameters[i];
        }
      }
      startDirtyParameterList.add(currentDirtyStart);
      currentDirtyStart += nbNewParameters[num];
      startDirtyParameter[nbSensitivityCurve] = startDirtyParameterList.toIntArray();
      nbNewParamSensiCurve[nbSensitivityCurve] = nbNewParameters[num];
      indexOtherSensiCurve[nbSensitivityCurve] = indexOther[num];
      startCleanParameter[nbSensitivityCurve] = nbCleanParameters;
      nbCleanParameters += nbNewParamSensiCurve[nbSensitivityCurve];
      nbSensitivityCurve++;
View Full Code Here
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
    Object srcArea = app.find(myUi, "docids");
    String val = app.getString(srcArea, "text");
    if (val!=null && val.length() > 0){
      try{
        String[] docids = val.split(",");
        IntList idList = new IntArrayList(docids.length);
        for (String docid : docids){
          idList.add(Integer.parseInt(docid.trim()));
        }
        int[] idArray = idList.toIntArray();
        StringBuffer sbuf = new StringBuffer();
        ZoieIndexReader zoieReader = getZoieReader();
        boolean first = true;
        for (int docid : idArray){
          long uid;
View Full Code Here
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
    Object srcArea = app.find(myUi, "uids");
    String val = app.getString(srcArea, "text");
    if (val!=null && val.length() > 0){
      try{
        String[] uids = val.split(",");
        IntList idList = new IntArrayList(uids.length);
        for (String uid : uids){
          idList.add(Integer.parseInt(uid.trim()));
        }
        int[] idArray = idList.toIntArray();
        StringBuffer sbuf = new StringBuffer();
        ZoieIndexReader zoieReader = getZoieReader();
        DocIDMapper mapper = zoieReader.getDocIDMaper();
        boolean first = true;
        for (int uid : idArray){
View Full Code Here
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
    }

    DocIDMapperImpl mapper = new DocIDMapperImpl(even);
    UIDDocIdSet uidSet = new UIDDocIdSet(even, mapper);
    DocIdSetIterator docidIter = uidSet.iterator();
    IntArrayList intList = new IntArrayList();
    int docid;
    while ((docid = docidIter.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
      intList.add(docid);
    }
    assertTrue("wrong result from iter", Arrays.equals(ans, intList.toIntArray()));

    long[] newidArray = new long[count];
    for (int i = 0; i < count; ++i) {
      newidArray[i] = i;
    }

    mapper = new DocIDMapperImpl(newidArray);
    uidSet = new UIDDocIdSet(newidArray, mapper);
    docidIter = uidSet.iterator();
    intList = new IntArrayList();
    for (int i = 0; i < newidArray.length; ++i) {
      docid = docidIter.advance(i * 10);
      if (docid == DocIdSetIterator.NO_MORE_DOCS) break;
      intList.add(docid);
      docid = docidIter.nextDoc();
      if (docid == DocIdSetIterator.NO_MORE_DOCS) break;
      intList.add(docid);
    }

    int[] answer = new int[] { 0, 1, 10, 11, 20, 21, 30, 31, 40, 41, 50, 51, 60, 61, 70, 71, 80,
        81, 90, 91 };
    assertTrue("wrong result from mix of next and skip",
      Arrays.equals(answer, intList.toIntArray()));
  }
View Full Code Here
43
44
45
46
47
48
49
50
51
52
53
    public JoinHash(PagesIndex pagesIndex, List<Integer> hashChannels, OperatorContext operatorContext)
    {
        this.pagesIndex = pagesIndex;
        this.hashStrategy = new PagesHashStrategy(pagesIndex, hashChannels);
        this.addressToPositionMap = new AddressToPositionMap(pagesIndex.getPositionCount(), hashStrategy);
        this.positionLinks = new IntArrayList(new int[pagesIndex.getPositionCount()]);
        Arrays.fill(positionLinks.elements(), -1);

        // index pages
        for (int position = 0; position < pagesIndex.getPositionCount(); position++) {
            operatorContext.setMemoryReservation(getEstimatedSize());
View Full Code Here
388
389
390
391
392
393
394
            checkNotNull(type, "type is null");

            this.type = type;
            this.slice = Slices.allocate(blockSize);
            this.sliceOutput = slice.getOutput();
            this.positionOffsets = new IntArrayList(1024);
        }
View Full Code Here
TOP

Related Classes of it.unimi.dsi.fastutil.ints.IntArrayList

  • com.browseengine.bobo.facets.data.FacetDataCache
  • com.browseengine.bobo.facets.data.MultiValueFacetDataCache
  • com.browseengine.bobo.facets.data.MultiValueWithWeightFacetDataCache
  • com.browseengine.bobo.facets.data.TermIntList
  • com.browseengine.bobo.facets.filter.FacetRangeFilter
  • com.browseengine.bobo.facets.impl.CompactMultiValueFacetHandler
  • com.facebook.presto.operator.ChannelHash
  • com.facebook.presto.operator.GroupByHash$ChannelBuilder
  • com.facebook.presto.operator.index.UnloadedIndexKeyRecordSet
  • com.facebook.presto.operator.JoinHash
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.