Package cc.redberry.core.tensor.random

Examples of cc.redberry.core.tensor.random.TRandom.nextProduct()

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        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = 0;
        while (++count < 500) {
//            CC.resetTensorNames();
            Tensor t = rp.nextProduct(15);
            if (!(t instanceof Product))
                continue;

            Product from = (Product) t, target = from;
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        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = 0;
        while (++count < 500) {
            CC.resetTensorNames();
            Product from = rp.nextProduct(15);
            Product target = from.clone();

            long start = System.nanoTime();
            ProductsBijectionsPort port = new ProductsBijectionsPort(from.getContent(), target.getContent());
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        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = -1;
        while (++count < 100) {
            CC.resetTensorNames();
            Product from = rp.nextProduct(15);
            Product target = from.clone();

            long start = System.nanoTime();
            Tensor[] dataFrom = from.getContent().getDataCopy();
            Tensor[] dataTarget = target.getContent().getDataCopy();
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        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = -1;
        while (++count < 10) {
            CC.resetTensorNames();
            Product from = rp.nextProduct(15);
            Product target = from.clone();

//            if (from.getContent().getFullContractionStructure().componentCount != 1) {
//                System.out.println(from.getContent().getFullContractionStructure().componentCount);
//                continue;
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        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = 0;
        while (++count < 500) {
            CC.resetTensorNames();
            Product from = rp.nextProduct(15);
            Product target = from.clone();

            long start = System.nanoTime();
            ProductsBijectionsPort port = new ProductsBijectionsPort(from.getContent(), target.getContent());
            Tensor[] dataFrom = from.getContent().getDataCopy();
View Full Code Here
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        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = 0;
        while (++count < 500) {
//            CC.resetTensorNames();
            Tensor t = rp.nextProduct(15);
            if (!(t instanceof Product))
                continue;

            Product from = (Product) t, target = from;
View Full Code Here
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