Examples of TensorField

Examples of cc.redberry.core.tensor.TensorField

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        Tensor current;
        OUT:
        while ((current = iterator.next()) != null) {
            if (!(current instanceof TensorField))
                continue;
            TensorField currentField = (TensorField) current;
            IndexMappingBuffer buffer = IndexMappings.simpleTensorsPort(from, currentField).take();
            if (buffer == null)
                continue;


            Indices[] fromIndices = from.getArgIndices(), currentIndices = currentField.getArgIndices();

            List<Transformation> transformations = new ArrayList<>();
            Tensor fArg;
            int[] cIndices, fIndices;
            int i;
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Examples of cc.redberry.core.tensor.TensorField

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        super(from, to);
    }

    @Override
    Tensor newTo_(Tensor currentNode, SubstitutionIterator iterator) {
        TensorField currentField = (TensorField) currentNode;
        TensorField from = (TensorField) this.from;
        IndexMappingBuffer buffer = IndexMappings.simpleTensorsPort(from, currentField).take();
        if (buffer == null)
            return currentNode;

        Indices[] fromIndices = from.getArgIndices(), currentIndices = currentField.getArgIndices();

        List<Tensor> argFrom = new ArrayList<>(), argTo = new ArrayList<>();
        Tensor fArg;
        int[] cIndices, fIndices;
        int i;
        for (i = from.size() - 1; i >= 0; --i) {
            if (IndexMappings.mappingExists(currentNode.get(i), from.get(i)))
                continue;
            fIndices = fromIndices[i].getAllIndices().copy();
            cIndices = currentIndices[i].getAllIndices().copy();

            assert cIndices.length == fIndices.length;

            fArg = ApplyIndexMapping.applyIndexMapping(from.get(i), fIndices, cIndices, new int[0]);

            argFrom.add(fArg);
            argTo.add(currentNode.get(i));
        }
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Examples of cc.redberry.core.tensor.TensorField

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        return levels[0] == 0 && levels[1] == 0 && levels[2] == 0;
    }

    public static ParseToken tensor2AST(Tensor tensor) {
        if (tensor instanceof TensorField) {
            TensorField tf = (TensorField) tensor;
            ParseToken[] content = new ParseToken[tf.size()];
            int i = 0;
            for (Tensor t : tf)
                content[i++] = tensor2AST(t);
            return new ParseTokenTensorField(tf.getIndices(), tf.getStringName(), content, tf.getArgIndices());
        }
        if (tensor instanceof SimpleTensor) {
            SimpleTensor st = (SimpleTensor) tensor;
            return new ParseTokenSimpleTensor(st.getIndices(), st.getStringName());
        }
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Examples of cc.redberry.core.tensor.TensorField

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            if (state != TraverseState.Entering)
                continue;
            current = iterator.tensor();
            if (!(current instanceof TensorField))
                continue;
            TensorField currentField = (TensorField) current;
            IndexMappingBuffer buffer =
                    IndexMappingUtils.tryGetPositiveWithoutDiffStates(IndexMappings.createPortForSimpleTensor(from, currentField, allowDiffStates));
            if (buffer == null)
                continue;

            assert from.getArgs().length == currentField.getArgs().length;

            Tensor[] fromArgs = from.getArgs(), currentArgs = currentField.getArgs();
            Indices[] fromIndices = from.getArgIndices(), currentIndices = currentField.getArgIndices();

            List<Transformation> transformations = new ArrayList<>();
            Tensor fArg;
            int[] cIndices, fIndices;
            int i, j;
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Examples of cc.redberry.core.tensor.TensorField

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            Indices varIndices = var.getIndices();
            for (int i = 0; i < sp.getIndices().size(); ++i)
                kroneckers.add(CC.createMetricOrKronecker(targetIndices.get(i), varIndices.get(i)));
            return kroneckers.equivalent();
        } else if (target.getClass() == TensorField.class) {
            TensorField field = (TensorField) target;
            Tensor[] args = field.getArgs();
            for (int i = 0; i < args.length; ++i)
                if (getDerivative(args[i], var) != null)
                    return Derivative.createFromInversed(target,var);
            return null;
        } else if (target instanceof AbstractScalarFunction) {
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Examples of cc.redberry.core.tensor.TensorField

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        return levels[0] == 0 && levels[1] == 0 && levels[2] == 0;
    }

    public static ParseToken tensor2AST(Tensor tensor) {
        if (tensor instanceof TensorField) {
            TensorField tf = (TensorField) tensor;
            ParseToken[] content = new ParseToken[tf.size()];
            int i = 0;
            for (Tensor t : tf)
                content[i++] = tensor2AST(t);
            return new ParseTokenTensorField(tf.getIndices(), tf.getStringName(), content, tf.getArgIndices());
        }
        if (tensor instanceof SimpleTensor) {
            SimpleTensor st = (SimpleTensor) tensor;
            return new ParseTokenSimpleTensor(st.getIndices(), st.getStringName());
        }
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Examples of cc.redberry.core.tensor.TensorField

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            Indices varIndices = var.getIndices();
            for (int i = 0; i < sp.getIndices().size(); ++i)
                kroneckers.add(CC.createMetricOrKronecker(targetIndices.get(i), varIndices.get(i)));
            return kroneckers.equivalent();
        } else if (target.getClass() == TensorField.class) {
            TensorField field = (TensorField) target;
            Tensor[] args = field.getArgs();
            for (int i = 0; i < args.length; ++i)
                if (getDerivative(args[i], var) != null)
                    return Derivative.createFromInversed(target,var);
            return null;
        } else if (target instanceof AbstractScalarFunction) {
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Examples of cc.redberry.core.tensor.TensorField

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        } else if (target.getClass() == SimpleTensor.class) {
            if (((SimpleTensor) target).getName() == var.getName())
                return TensorNumber.createONE();
            return null;
        } else if (target.getClass() == TensorField.class) {
            TensorField field = (TensorField) target;
            Tensor[] args = field.getArgs();
            for (int i = 0; i < args.length; ++i)
                if (getDerivative(args[i], var) != null)
                    return Derivative.createFromInversed(target, new SimpleTensor[]{var});
            return null;
        } else if (target instanceof AbstractScalarFunction) {
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Examples of cc.redberry.core.tensor.TensorField

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            if (state != TraverseState.Leaving)
                continue;
            current = iterator.tensor();
            if (!(current instanceof TensorField))
                continue;
            TensorField currentField = (TensorField) current;
            IndexMappingBuffer buffer =
                    IndexMappingUtils.tryGetPositiveWithoutDiffStates(IndexMappings.createPortForSimpleTensor(from, currentField, allowDiffStates));
            if (buffer == null)
                continue;

            assert from.getArgs().length == currentField.getArgs().length;

            Tensor[] fromArgs = from.getArgs(), currentArgs = currentField.getArgs();
            Indices[] fromIndices = from.getArgIndices(), currentIndices = currentField.getArgIndices();

            List<Transformation> transformations = new ArrayList<>();
            Tensor fArg;
            int[] cIndices, fIndices;
            int i, j;
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Examples of cc.redberry.core.tensor.TensorField

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        structures[0] = new IndicesTypeStructure(stp.indices);
        for (int i = 1; i < structures.length; ++i)
            structures[i] = new IndicesTypeStructure(argIndices.get(i - 1));
        NameDescriptor descriptor = new NameDescriptor(stp.name, structures);
        int tensorName = CC.getNameManager().mapNameDescriptor(descriptor);
        return new TensorField(tensorName, stp.indices, arguments, arumentsIndices);
    }
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