Package mondrian.calc.impl

Examples of mondrian.calc.impl.AbstractDoubleCalc

46
47
48
49
50
51
52
53
54
55
56
            compiler.compileScalar(call.getArg(1), true);
        final Calc calc2 =
            call.getArgCount() > 2
            ? compiler.compileScalar(call.getArg(2), true)
            : new ValueCalc(call);
        return new AbstractDoubleCalc(
            call, new Calc[] {listCalc, calc1, calc2})
        {
            public double evaluateDouble(Evaluator evaluator) {
                List memberList = evaluateCurrentList(listCalc, evaluator);
                return correlation(
View Full Code Here
41
42
43
44
45
46
47
48
49
50
51
            compiler.compileList(call.getArg(0));
        final Calc calc =
            compiler.compileScalar(call.getArg(1), true);
        final DoubleCalc percentCalc =
            compiler.compileDouble(call.getArg(2));
        return new AbstractDoubleCalc(
            call, new Calc[] {listCalc, calc, percentCalc})
        {
            public double evaluateDouble(Evaluator evaluator) {
                List memberList = evaluateCurrentList(listCalc, evaluator);
                double percent = percentCalc.evaluateDouble(evaluator) * 0.01;
 
View Full Code Here
50
51
52
53
54
55
56
57
58
59
60
            compiler.compileList(call.getArg(0));
        final Calc calc =
            call.getArgCount() > 1
            ? compiler.compileScalar(call.getArg(1), true)
            : new ValueCalc(call);
        return new AbstractDoubleCalc(call, new Calc[] {listCalc, calc}) {
            public double evaluateDouble(Evaluator evaluator) {
                List memberList = evaluateCurrentList(listCalc, evaluator);
                return (Double) var(
                    evaluator.push(false), memberList, calc, false);
            }
View Full Code Here
52
53
54
55
56
57
58
59
60
61
62
            compiler.compileList(call.getArg(0));
        final Calc calc =
            compiler.compileScalar(call.getArg(1), true);
        final DoubleCalc percentCalc =
            compiler.compileDouble(call.getArg(2));
        return new AbstractDoubleCalc(
            call, new Calc[] {listCalc, calc, percentCalc})
        {
            public double evaluateDouble(Evaluator evaluator) {
                TupleList list = evaluateCurrentList(listCalc, evaluator);
                double percent = percentCalc.evaluateDouble(evaluator) * 0.01;
 
View Full Code Here
49
50
51
52
53
54
55
56
57
58
59
            compiler.compileList(call.getArg(0));
        final Calc calc =
            call.getArgCount() > 1
            ? compiler.compileScalar(call.getArg(1), true)
            : new ValueCalc(call);
        return new AbstractDoubleCalc(call, new Calc[] {listCalc, calc}) {
            public double evaluateDouble(Evaluator evaluator) {
                final int savepoint = evaluator.savepoint();
                try {
                    evaluator.setNonEmpty(false);
                    TupleList list = evaluateCurrentList(listCalc, evaluator);
View Full Code Here
50
51
52
53
54
55
56
57
58
59
60
            compiler.compileList(call.getArg(0));
        final Calc calc =
            call.getArgCount() > 1
            ? compiler.compileScalar(call.getArg(1), true)
            : new ValueCalc(call);
        return new AbstractDoubleCalc(call, new Calc[] {listCalc, calc}) {
            public double evaluateDouble(Evaluator evaluator) {
                TupleList memberList = evaluateCurrentList(listCalc, evaluator);
                final int savepoint = evaluator.savepoint();
                try {
                    evaluator.setNonEmpty(false);
View Full Code Here
48
49
50
51
52
53
54
55
56
57
58
            compiler.compileList(call.getArg(0));
        final Calc calc =
            call.getArgCount() > 1
            ? compiler.compileScalar(call.getArg(1), true)
            : new ValueCalc(call);
        return new AbstractDoubleCalc(call, new Calc[] {listCalc, calc}) {
            public double evaluateDouble(Evaluator evaluator) {
                TupleList memberList = evaluateCurrentList(listCalc, evaluator);
                final int savepoint = evaluator.savepoint();
                try {
                    evaluator.setNonEmpty(false);
View Full Code Here
93
94
95
96
97
98
99
100
101
102
103
    protected Calc genIterCalc(
        final ResolvedFunCall call,
        final IterCalc iterCalc,
        final Calc calc)
    {
        return new AbstractDoubleCalc(call, new Calc[] {iterCalc, calc}) {
            public double evaluateDouble(Evaluator evaluator) {
                TupleIterable iterable =
                    evaluateCurrentIterable(iterCalc, evaluator);
                final int savepoint = evaluator.savepoint();
                try {
View Full Code Here
116
117
118
119
120
121
122
123
124
125
126
    protected Calc genListCalc(
        final ResolvedFunCall call,
        final ListCalc listCalc,
        final Calc calc)
    {
        return new AbstractDoubleCalc(call, new Calc[] {listCalc, calc}) {
            public double evaluateDouble(Evaluator evaluator) {
                TupleList memberList = evaluateCurrentList(listCalc, evaluator);
                final int savepoint = evaluator.savepoint();
                try {
                    evaluator.setNonEmpty(false);
View Full Code Here
53
54
55
56
57
58
59
60
61
62
63
            compiler.compileScalar(call.getArg(1), true);
        final Calc calc2 =
            call.getArgCount() > 2
            ? compiler.compileScalar(call.getArg(2), true)
            : new ValueCalc(call);
        return new AbstractDoubleCalc(call, new Calc[] {listCalc, calc1, calc2})
        {
            public double evaluateDouble(Evaluator evaluator) {
                TupleList memberList = listCalc.evaluateList(evaluator);
                final int savepoint = evaluator.savepoint();
                try {
View Full Code Here
TOP

Related Classes of mondrian.calc.impl.AbstractDoubleCalc

  • mondrian.olap.fun.AvgFunDef
  • mondrian.olap.fun.CorrelationFunDef
  • mondrian.olap.fun.CovarianceFunDef
  • mondrian.olap.fun.extra.NthQuartileFunDef
  • mondrian.olap.fun.MedianFunDef
  • mondrian.olap.fun.MinMaxFunDef
  • mondrian.olap.fun.PercentileFunDef
  • mondrian.olap.fun.StdevFunDef
  • mondrian.olap.fun.StdevPFunDef
  • mondrian.olap.fun.SumFunDef
    • 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.