Package gnu.trove.set.hash

Examples of gnu.trove.set.hash.TIntHashSet.addAll()

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        }

        if (fromL == null)
            return tensor;

        allIndicesNames.addAll(getIndicesNames(tensor.getIndices().getFree()));
        int[] from = fromL.toArray(), to = new int[fromL.size()];
        Arrays.sort(from);
        int i;
        IndexGeneratorFromData generator = new IndexGeneratorFromData(allowedDummiesNames);
        for (i = from.length - 1; i >= 0; --i)
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        int i;
        Tensor f;
        for (i = factors.length - 1; i >= 0; --i) {
            if ((f = factors[i]) instanceof Sum || f.getIndices().getFree().size() == 0) {
                toResolve.add(f);
                forbidden.addAll(f.getIndices().getFree().getAllIndices().copy());
            } else {
                forbidden.addAll(TensorUtils.getAllIndicesNamesT(f));
                result[i] = f;
            }
        }
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        for (i = factors.length - 1; i >= 0; --i) {
            if ((f = factors[i]) instanceof Sum || f.getIndices().getFree().size() == 0) {
                toResolve.add(f);
                forbidden.addAll(f.getIndices().getFree().getAllIndices().copy());
            } else {
                forbidden.addAll(TensorUtils.getAllIndicesNamesT(f));
                result[i] = f;
            }
        }

        Tensor factor, newFactor;
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        int toResolvePosition = toResolve.size();
        for (i = factors.length - 1; i >= 0; --i)
            if (result[i] == null) {
                factor = toResolve.get(--toResolvePosition);
                newFactor = ApplyIndexMapping.renameDummy(factor, forbidden.toArray());
                forbidden.addAll(TensorUtils.getAllIndicesNamesT(newFactor));
                result[i] = newFactor;
            }
//        for (int i = toResolve.size() - 1; i >= 0; --i) {
//            factor = toResolve.get(i);
//            newFactor = ApplyIndexMapping.renameDummy(factor, forbidden.toArray());
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    public static void resolveAllDummies(Tensor[] factors) {
        TIntHashSet forbidden = new TIntHashSet();
        int i;
        for (i = factors.length - 1; i >= 0; --i)
            forbidden.addAll(TensorUtils.getAllIndicesNamesT(factors[i]));

        for (i = factors.length - 1; i >= 0; --i) {
            factors[i] = ApplyIndexMapping.renameDummy(factors[i], forbidden.toArray());
            forbidden.addAll(TensorUtils.getAllIndicesNamesT(factors[i]));
        }
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        for (i = factors.length - 1; i >= 0; --i)
            forbidden.addAll(TensorUtils.getAllIndicesNamesT(factors[i]));

        for (i = factors.length - 1; i >= 0; --i) {
            factors[i] = ApplyIndexMapping.renameDummy(factors[i], forbidden.toArray());
            forbidden.addAll(TensorUtils.getAllIndicesNamesT(factors[i]));
        }
    }

    /**
     * Returns {@code a} divided by {@code b}.
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        SimpleTensor[] resolvedVars = vars;
        if (needRename) {
            TIntHashSet forbidden = TensorUtils.getAllIndicesNamesT(tensor);
            for (SimpleTensor var : vars)
                forbidden.addAll(getIndicesNames(var.getIndices().getFree()));

            resolvedVars = vars.clone();
            for (int i = 0; i < vars.length; ++i)
                if (!forbidden.isEmpty() && resolvedVars[i].getIndices().size() != 0) {
                    if (resolvedVars[i].getIndices().size() != resolvedVars[i].getIndices().getFree().size())
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            resolvedVars = vars.clone();
            for (int i = 0; i < vars.length; ++i)
                if (!forbidden.isEmpty() && resolvedVars[i].getIndices().size() != 0) {
                    if (resolvedVars[i].getIndices().size() != resolvedVars[i].getIndices().getFree().size())
                        resolvedVars[i] = (SimpleTensor) renameDummy(resolvedVars[i], forbidden.toArray());
                    forbidden.addAll(getIndicesNames(resolvedVars[i].getIndices()));
                }
            tensor = renameDummy(tensor, TensorUtils.getAllIndicesNamesT(resolvedVars).toArray(), forbidden);
            tensor = renameIndicesOfFieldsArguments(tensor, forbidden);
        }
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    private static Tensor differentiate(Tensor tensor, Transformation[] expandAndContract, SimpleTensor var) {
        if (var.getIndices().size() != 0) {
            TIntHashSet forbidden = TensorUtils.getAllIndicesNamesT(tensor);
            var = (SimpleTensor) renameDummy(var, TensorUtils.getAllIndicesNamesT(tensor).toArray());
            forbidden.addAll(IndicesUtils.getIndicesNames(var.getIndices()));
            tensor = renameDummy(tensor, TensorUtils.getAllIndicesNamesT(var).toArray(), forbidden);
            tensor = renameIndicesOfFieldsArguments(tensor, forbidden);
        }
        return differentiate1(tensor, createRule(var), expandAndContract);
    }
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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;
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