Package cc.redberry.core.indexgenerator

Examples of cc.redberry.core.indexgenerator.IndexGeneratorImpl

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            SimpleTensor var;
            int[] indices;
            SimpleIndices varIndices;
            TensorField __from = (TensorField) this.from;
            Tensor __to = this.to;
            IndexGeneratorImpl ig = null;
            for (int i = orders.length() - 1; i >= 0; --i) {
                order = orders.get(i) - this.orders.get(i);
                while (order > 0) {
                    var = (SimpleTensor) from.get(i);
                    indices = new int[var.getIndices().size()];

                    //lazy initialization
                    if (indices.length != 0 && ig == null) {
                        TIntHashSet forbidden = new TIntHashSet(iterator.getForbidden());
                        forbidden.addAll(TensorUtils.getAllIndicesNamesT(this.from));
                        forbidden.addAll(TensorUtils.getAllIndicesNamesT(this.to));
                        ig = new IndexGeneratorImpl(forbidden.toArray());

                    }

                    for (j = indices.length - 1; j >= 0; --j)
                        indices[j] = setRawState(getRawStateInt(var.getIndices().get(j)),
                                ig.generate(getType(var.getIndices().get(j))));
                    varIndices = UnsafeIndicesFactory.createIsolatedUnsafeWithoutSort(null, indices);
                    var = Tensors.setIndices(var, varIndices);
                    __from = Tensors.fieldDerivative(__from, varIndices.getInverted(), i);
                    __to = new DifferentiateTransformation(var).transform(__to);
                    --order;
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        //Creating indices for Indices instances
        int[] _freeIndices = indices.getFree().getAllIndices().copy();
        int[][] freeIndices = new int[TYPES.length][];
        int[][] indicesSpace = new int[TYPES.length][];
        IndexGeneratorImpl indexGenerator = new IndexGeneratorImpl(_freeIndices.clone());
        for (byte b : TYPES) {
            indicesSpace[b] = new int[totalIndicesCounts[b]];
            StructureOfIndices.TypeData typeData = typeStructure.getTypeData(b);
            if (typeData == null)
                freeIndices[b] = new int[0];
            else {
                freeIndices[b] = new int[typeData.length];
                System.arraycopy(_freeIndices, typeData.from, freeIndices[b], 0, typeData.length);
            }
            int diff = (totalIndicesCounts[b] - freeIndices[b].length) / 2;
            for (i = 0; i < diff; ++i)
                indicesSpace[b][i] = indexGenerator.generate(b);
            for (i = 0; i < diff; ++i)
                indicesSpace[b][i + diff] = IndicesUtils.inverseIndexState(indicesSpace[b][i]);
            System.arraycopy(freeIndices[b], 0, indicesSpace[b], diff * 2, freeIndices[b].length);
            shuffle(indicesSpace[b]);
        }
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        if (fromL == null)
            return tensor;

        allIndicesNames.addAll(getIndicesNames(tensor.getIndices().getFree()));
        IndexGeneratorImpl generator = new IndexGeneratorImpl(allIndicesNames.toArray());
        int[] from = fromL.toArray(), to = new int[fromL.size()];
        Arrays.sort(from);
        added.ensureCapacity(from.length);
        int i;
        for (i = from.length - 1; i >= 0; --i)
            added.add(to[i] = generator.generate(IndicesUtils.getType(from[i])));


        return applyIndexMapping(tensor, new IndexMapper(from, to), false);
    }
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        if (fromL == null)
            return tensor;

        allIndicesNames.addAll(getIndicesNames(tensor.getIndices().getFree()));
        IndexGeneratorImpl generator = new IndexGeneratorImpl(allIndicesNames.toArray());
        int[] from = fromL.toArray(), to = new int[fromL.size()];
        Arrays.sort(from);
        int i;
        for (i = from.length - 1; i >= 0; --i)
            to[i] = generator.generate(IndicesUtils.getType(from[i]));

        return applyIndexMapping(tensor, new IndexMapper(from, to), false);
    }
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        final int[] dummyIndices = TensorUtils.getAllDummyIndicesT(tensor).toArray();
        final int[] forbiddenGeneratorIndices = new int[allForbidden.length + dummyIndices.length];
        System.arraycopy(allForbidden, 0, forbiddenGeneratorIndices, 0, allForbidden.length);
        System.arraycopy(dummyIndices, 0, forbiddenGeneratorIndices, allForbidden.length, dummyIndices.length);

        IndexGeneratorImpl generator = new IndexGeneratorImpl(forbiddenGeneratorIndices);
        for (int index : dummyIndices)
            if (Arrays.binarySearch(allForbidden, index) >= 0) {
                //if index is dummy it cannot be free, so from (which is equal to free)
                //cannot contain it
                assert ArraysUtils.binarySearch(fromNames, index) < 0;
                fromL.add(index);
                toL.add(generator.generate(IndicesUtils.getType(index)));
            }

        int[] _from = fromL.toArray(), _to = toL.toArray();
        ArraysUtils.quickSort(_from, _to);
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            IndexMapper mapping;
            int j;
            int[] _forbidden = forbidden.toArray();
            for (int i = field.size() - 1; i >= 0; --i) {
                arg = field.args[i];
                IndexGeneratorImpl ig = new IndexGeneratorImpl(_forbidden);
                _from = TensorUtils.getAllIndicesNamesT(arg).toArray();
                Arrays.sort(_from);
                _to = new int[_from.length];
                for (j = _from.length - 1; j >= 0; --j) {
                    if (forbidden.contains(_from[j]))
                        _to[j] = ig.generate(getType(_from[j]));
                    else _to[j] = _from[j];
                    forbidden.add(_to[j]);
                }
                arg = applyIndexMapping(arg, mapping = new IndexMapper(_from, _to));
                if (arg != field.args[i]) {
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        for (Integer f : dummyIndices)
            forbidden[++i] = f;
        System.arraycopy(upperLower, 0, forbidden, dummyIndices.size(), upperLower.length);


        IndexGeneratorImpl generator = new IndexGeneratorImpl(forbidden);
        IntArrayList from = new IntArrayList(), to = new IntArrayList();
        int fromIndex;
        for (i = upperLower.length - 1; i >= 0; --i) {
            fromIndex = upperLower[i];
            if (dummyIndices.contains(fromIndex)) {
                from.add(fromIndex);
                to.add(generator.generate(IndicesUtils.getType(fromIndex)));
            }
        }

        int[] _from = from.toArray(), _to = to.toArray();
        ArraysUtils.quickSort(_from, _to);
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    @Override
    public ParseToken transform(ParseToken node) {
        ensureMappedRulesInitialized();
        int[] forbidden = ParseUtils.getAllIndicesT(node).toArray();
        IndexGeneratorImpl generator = new IndexGeneratorImpl(forbidden);

        transformInsideFieldsAndScalarFunctions(node);

        ParseToken wrapped = new ParseToken(TokenType.Dummy, node);
        IITransformer transformer = createTransformer(wrapped);
        node = wrapped.content[0];
        node.parent = null;

        if (transformer == null)
            return node;

        OuterIndices outerIndices = transformer.getOuterIndices();
        int[][] upper = new int[TYPES_COUNT][],
                lower = new int[TYPES_COUNT][];

        int j;
        for (byte i = 0; i < TYPES_COUNT; ++i) {
            upper[i] = new int[outerIndices.upper[i]];
            for (j = 0; j < upper[i].length; ++j)
                upper[i][j] = 0x80000000 | generator.generate(i);

            lower[i] = new int[outerIndices.lower[i]];
            for (j = 0; j < lower[i].length; ++j)
                lower[i][j] = generator.generate(i);
        }
        transformer.apply(generator, upper, lower);
        return node;
    }
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            return outerIndices;
        }

        @Override
        public void apply(IndexGeneratorImpl generator, int[][] upper, int[][] lower) {
            IndexGeneratorImpl generatorTemp = null;
            IndexGeneratorImpl generatorClone;
            int[][] preparedUpper = new int[TYPES_COUNT][], preparedLower = new int[TYPES_COUNT][];
            OuterIndices oi;
            byte j;
            for (int i = 0; i < transformers.length; ++i) {
                if (transformers[i] == null)
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            SimpleIndices varIndices = var.getIndices();
            int[] allFreeVarIndices = new int[varIndices.size()];
            int[] allFreeArgIndices = new int[varIndices.size()];
            byte type;
            int state, i = 0, length = allFreeArgIndices.length;
            IndexGeneratorImpl indexGenerator = new IndexGeneratorImpl(varIndices);
            for (; i < length; ++i) {
                type = getType(varIndices.get(i));
                state = getRawStateInt(varIndices.get(i));
                allFreeVarIndices[i] = setRawState(indexGenerator.generate(type), inverseIndexState(state));
                allFreeArgIndices[i] = setRawState(indexGenerator.generate(type), state);
            }
            int[] allIndices = addAll(allFreeVarIndices, allFreeArgIndices);
            SimpleIndices dIndices = IndicesFactory.createSimple(null, allIndices);
            SimpleTensor symmetric = simpleTensor("@!@#@##_AS@23@@#", dIndices);
            Tensor derivative = SymmetrizeSimpleTensorTransformation.symmetrize(
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Related Classes of cc.redberry.core.indexgenerator.IndexGeneratorImpl

  • cc.redberry.core.parser.preprocessor.GeneralIndicesInsertion
  • cc.redberry.core.parser.preprocessor.GeneralIndicesInsertion$SumTransformer
  • cc.redberry.core.parser.preprocessor.IndicesInsertion
  • cc.redberry.core.tensor.ApplyIndexMapping
  • cc.redberry.core.tensor.random.RandomTensor
  • cc.redberry.core.transformations.collect.CollectTransformation
  • cc.redberry.core.transformations.DifferentiateTransformation$SymmetricDifferentiationRule
  • cc.redberry.core.transformations.substitutions.PrimitiveTensorFieldSubstitution
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