Package cc.redberry.core.indexgenerator

Examples of cc.redberry.core.indexgenerator.IndexGenerator

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                    //building index generator
                    IntArrayList usedIndices = new IntArrayList(TensorUtils.getAllIndicesNames(split.factoredOut));
                    usedIndices.addAll(collectedTerm.getCollectedFactorsIndicesNames());
                    usedIndices.addAll(collectedTerm.getCollectedTermIndicesNames());
                    IndexGenerator ig = new IndexGenerator(usedIndices.toArray());

                    List<Tensor> kroneckersCollected = new ArrayList<>();

                    for (Map.Entry<Integer, IndexMappingBufferRecord> entry : concurentBuffer.getMap().entrySet()) {
                        int indexCollected, indexToCollect, rawState = ((entry.getValue().getStates() & 1) ^ 1) << 31;
                        indexCollected = rawState | entry.getValue().getIndexName();
                        indexToCollect = rawState | entry.getKey();

                        SimpleTensor kroneckerCollected;
                        SimpleTensor kroneckerToCollect;
                       
                        if (indexToCollect == indexCollected)
                            continue;
                        else if (uncontractedIndicesToCollect.contains(getNameWithType(indexToCollect))
                                && uncontractedIndicesCollected.contains(getNameWithType(indexCollected))) {
                            mappingToCollect.add(inverseIndexState(indexToCollect),
                                    inverseIndexState(indexCollected));
//                            continue;
                        }

                        else if (uncontractedIndicesToCollect.contains(getNameWithType(indexToCollect))) {
                            kroneckerCollected = CC.createKronecker(inverseIndexState(indexToCollect), indexCollected);

                            collectedTerm.getCollectedFactorsIndicesNames().add(getNameWithType(indexCollected));
                            collectedTerm.getCollectedFactorsIndicesNames().add(getNameWithType(indexToCollect));

                            collectedTerm.getCollectedTermIndicesNames().replaceFirst(getNameWithType(indexCollected), getNameWithType(indexToCollect));
                            mappingCollectedTensor.add(indexCollected, indexToCollect);
                            kroneckersCollected.add(kroneckerCollected);
//                            continue;
                        } else if (uncontractedIndicesCollected.contains(getNameWithType(indexCollected))) {
                            kroneckerToCollect = CC.createKronecker(indexToCollect, inverseIndexState(indexCollected));
                            split.factoredOut.add(kroneckerToCollect);
//                            continue;
                        } else {
                            int newIndex = ig.generate(getType(indexToCollect));
                            collectedTerm.getCollectedFactorsIndicesNames().add(getNameWithType(indexCollected));
                            collectedTerm.getCollectedFactorsIndicesNames().add(newIndex);
                            collectedTerm.getCollectedTermIndicesNames().replaceFirst(getNameWithType(indexCollected), newIndex);
//                        uncontractedIndicesCollected.addAll(newIndex);
//                        uncontractedIndicesToCollect.addAll(newIndex);
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    }

    @Override
    protected IndexGenerator createIndexGenerator(Tensor tensor) {
        int[] forbidenIndices = TensorUtils.getAllIndicesBuilder(tensor).append(forbidenSortedNames).append(indicesToRenameNames).asArray();
        return new IndexGenerator(forbidenIndices);
    }
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    public Tensor renameIndicesAndBuidKroneckers(Tensor tensor) {
        if (tensor instanceof SimpleTensor || tensor instanceof Product) {
            Indices indices = tensor.getIndices();
            IndexMappingDirectAllowingUnmapped im = new IndexMappingDirectAllowingUnmapped();
            IndexMappingDirectAllowingUnmapped renameUsedIndices = null;
            IndexGenerator ig = createIndexGenerator(tensor);
            for (int i = 0; i < indices.size(); ++i) {
                int index = indices.get(i);
                if (checked.contains(inverseIndexState(index)))
                    if (Arrays.binarySearch(indicesToRenameNames, getNameWithType(index)) < 0) {
//                        uncontracted.addAll(inverseIndexState(index));
                        int newIndex = getRawStateInt(index) | ig.generate(getType(index));
                        im.add(index, newIndex);
                    } else {
                        if (renameUsedIndices == null)
                            renameUsedIndices = new IndexMappingDirectAllowingUnmapped();
                        int newIndex = getRawStateInt(index) | ig.generate(getType(index));
                        int kroneckerIndex = getRawStateInt(index) | ig.generate(getType(index));
                        renameUsedIndices.add(index, kroneckerIndex);
                        renameUsedIndices.add(inverseIndexState(index), inverseIndexState(newIndex));
                        im.add(newIndex, kroneckerIndex);
          
                    }
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        int[] ui = new int[usedIndices.length + map.size()];
        System.arraycopy(usedIndices, 0, ui, 0, usedIndices.length);
        int i = usedIndices.length;
        for (Integer index : map.values())
            ui[i++] = index.intValue();
        indexGenerator = new IndexGenerator(ui);
    }
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        //Creating indices for Indices instances
        int[] _freeIndices = indices.getFreeIndices().getAllIndices().copy();
        int[][] freeIndices = new int[TYPES.length][];
        int[][] indicesSpace = new int[TYPES.length][];
        IndexGenerator indexGenerator = new IndexGenerator(_freeIndices.clone());
        for (byte b : TYPES) {
            indicesSpace[b] = new int[totalIndicesCounts[b]];
            IndicesTypeStructure.TypeData typeData = typeStructure.getTypeDatas(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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            return outerIndices;
        }

        @Override
        public void apply(IndexGenerator generator, int[][] upper, int[][] lower) {
            IndexGenerator generatorTemp = null;
            IndexGenerator 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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            SimpleTensor var;
            int[] indices;
            SimpleIndices varIndices;
            TensorField __from = (TensorField) this.from;
            Tensor __to = this.to;
            IndexGenerator 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 IndexGenerator(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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        for (Integer f : dummyIndices)
            forbidden[++i] = f;
        System.arraycopy(upperLower, 0, forbidden, dummyIndices.size(), upperLower.length);


        IndexGenerator generator = new IndexGenerator(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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            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;
            IndexGenerator indexGenerator = new IndexGenerator(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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        if (fromL == null)
            return tensor;

        allIndicesNames.addAll(getIndicesNames(tensor.getIndices().getFree()));
        IndexGenerator generator = new IndexGenerator(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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Related Classes of cc.redberry.core.indexgenerator.IndexGenerator

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