Package cc.redberry.core.indexmapping

Examples of cc.redberry.core.indexmapping.IndexMappingImpl

114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
                } else {
                    for (j = 0; j < cIndices.length; ++j) {
                        cIndices[j] = IndicesUtils.getNameWithType(cIndices[j]);
                        fIndices[j] = IndicesUtils.getNameWithType(fIndices[j]);
                    }
                    IndexMappingImpl im = new IndexMappingImpl(new int[0], fIndices, cIndices);
                    fArg = ApplyIndexMappingTransformation.INSTANCE.perform(fArg, im);
                }

                if (!IndexMappings.mappingExists(fromArgs[i], fArg, allowDiffStates))
                    throw new InconsistentSubstitutionException(from, to, current);
                transformations.add(Substitutions.createSubstitution(fArg, currentArgs[i], allowDiffStates));
            }

            Tensor newTo = to.clone();
            if (!allowDiffStates || !IndexMappingUtils.containsDiffStates(buffer))
                newTo = ApplyIndexMappingTransformation.INSTANCE.perform(newTo, new IndexMappingImpl(iterator.usedIndices(), buffer));
            else
                newTo = ApplyIndexMappingUtils.applyIndexMappingWithDiffStates(newTo, buffer, iterator.usedIndices());


            if (!transformations.isEmpty()) {
                for (Transformation transformation : transformations)
                    newTo = transformation.transform(newTo);
                int[] indices = newTo.getIndices().getFreeIndices().getAllIndices().copy();
                for (i = 0; i < indices.length; ++i)
                    indices[i] = IndicesUtils.getNameWithType(indices[i]);
                newTo = ApplyIndexMappingTransformation.INSTANCE.perform(newTo, new IndexMappingImpl(iterator.usedIndices(), indices, indices));
            }
            iterator.set(newTo);
        }
        Tensor result = tensorWrapper.getInnerTensor();
        result.setParent(parent);
View Full Code Here
77
78
79
80
81
82
83
84
85
86
87
                    if (IndexMappings.mappingExists(from, derivative.getVariation(i), true) //TODO Simple tensor optimization
                            || TensorUtils.contains(to, derivative.getVariation(i)))
                        throw new InconsistentSubstitutionException("TODO message");
            Tensor newTo = to.clone();
            if (!allowDiffStates || !IndexMappingUtils.containsDiffStates(buffer))
                newTo = ApplyIndexMappingTransformation.INSTANCE.perform(newTo, new IndexMappingImpl(iterator.usedIndices(), buffer));
            else
                newTo = ApplyIndexMappingUtils.applyIndexMappingWithDiffStates(newTo, buffer, iterator.usedIndices());
            if (buffer.getSignum() == true)
                newTo = new Product(TensorNumber.createMINUSONE(), newTo);
            iterator.set(newTo);
View Full Code Here
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
                    //ApplyIndexMappingTransformation (AIM) never produce conflicting indices if
                    //there are no such indices in tensor,
                    //so while transforming in tensor last mode AIM transformation applies only on tensors
                    //without any conflicts, just giving new names for indices from this product
                    IndexMappingImpl indexMapping = new IndexMappingImpl(currentUsedIndices);
                    ApplyIndexMappingTransformation.INSTANCE.perform(multiplyer, indexMapping);

                    //Adding new illegal indices
                    usedIndices =
                            MathUtils.intSetUnion(usedIndices,
                                                  TensorUtils.getAllIndicesNames(multiplyer));
                }
        }
        if (tensor instanceof Derivative) {
            //Very similar to Product case
            Derivative derivative = (Derivative) tensor;

            //Collecting all indices from derivative vars
            TensorIterator it = derivative.iterator();
            IntArrayList usedIndices = new IntArrayList();
            Tensor current;
            while (it.hasNext()) {
                current = it.next();
                if (Derivative.onVarsIndicator.is(it))
                    usedIndices.addAll(TensorUtils.getAllIndicesNames(current));
            }

            //Creating int set from collected indices
            int[] usedIndicesArray = MathUtils.getSortedDistinct(usedIndices.toArray());

            Tensor target = derivative.getTarget();

            //Calculating used indices for AIM transformation
            int[] targetIndices = IndicesUtils.getSortedDistinctIndicesNames(target.getIndices().getFreeIndices());
            int[] currentUsedIndices = MathUtils.intSetDifference(targetIndices, usedIndices.toArray());
            //Applying AIM transformation
            IndexMappingImpl indexMapping = new IndexMappingImpl(currentUsedIndices);
            ApplyIndexMappingTransformation.INSTANCE.perform(target, indexMapping);
        }
        return tensor;
    }
View Full Code Here
117
118
119
120
121
122
123
124
125
126
        final int[] newIndicesNames = new int[indicesNames.length];
        for (int i = 0; i < indicesNames.length; ++i)
            newIndicesNames[i] = indicesNames[permutation[i]];

        //processing new tensor
        IndexMappingImpl im = new IndexMappingImpl(new int[0], indicesNames, newIndicesNames);
        Tensor current = tensor.clone();
        ApplyIndexMappingTransformation.INSTANCE.perform(current, im);
        result.add(current);
    }
View Full Code Here
44
45
46
47
48
49
50
*/
public class ApplyIndexMappingUtils {
    public static Tensor applyIndexMappingWithoutDiffStates(Tensor target,
            IndexMappingBuffer indexMappingBuffer, int[] usedIndices) {
        return ApplyIndexMappingTransformation.INSTANCE.perform(target,
                new IndexMappingImpl(usedIndices, indexMappingBuffer));
    }
View Full Code Here
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
    public static Tensor applyIndexMappingWithDiffStates(Tensor target,
            int[] from, int[] to, int[] usedIndices) {
        if (from.length != to.length)
            throw new IllegalArgumentException();
        IndexMappingImpl preprocess = new IndexMappingImpl();

        //creating metrics for rising-lowing indices
        int fromIndex, toIndex, fromState, toState;

        IndexGenerator ig = new IndexGenerator(TensorUtils.getAllIndices(target));

        List<SimpleTensor> metrics = new ArrayList<>();
        int i = 0;
        for (; i < from.length; ++i) {
            //diff states mapping detected
            if ((fromState = IndicesUtils.getRawStateInt(from[i])) != (toState = IndicesUtils.getRawStateInt(to[i]))) {

                fromIndex = IndicesUtils.getNameWithType(from[i]);
                toIndex = ig.generate(IndicesUtils.getType(fromIndex));
                preprocess.add(fromIndex, toIndex);

                if (fromState != 0)
                    metrics.add(CC.createMetric(fromIndex, toIndex));
                else
                    metrics.add(CC.createMetric(0x80000000 | fromIndex, 0x80000000 | toIndex));
            }
            from[i] = IndicesUtils.getNameWithType(from[i]);
            to[i] = IndicesUtils.getNameWithType(to[i]);
        }
        //preprocessing conflicting indices
        target = ApplyIndexMappingTransformation.INSTANCE.perform(target, preprocess);

        //adding metrics
        if (!metrics.isEmpty()) {
            Product p = new Product();
            p.add(target);
            p.add(metrics);
            target = p;
        }
        IndexMappingImpl im = new IndexMappingImpl(usedIndices, from, to);
        return ApplyIndexMappingTransformation.INSTANCE.perform(target, im);
    }
View Full Code Here
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
        return ApplyIndexMappingTransformation.INSTANCE.perform(target, im);
    }

    public static Tensor applyIndexMappingWithDiffStates(Tensor target,
            IndexMappingBuffer indexMappingBuffer, int[] usedIndices) {
        IndexMappingImpl preprocess = new IndexMappingImpl();

        //creating metrics for rising-lowing indices
        int fromIndex, toIndex;

        IndexGenerator ig = new IndexGenerator(TensorUtils.getAllIndices(target));

        List<SimpleTensor> metrics = new ArrayList<>();

        for (Map.Entry<Integer, IndexMappingBufferRecord> entry : indexMappingBuffer.getMap().entrySet()) {
            IndexMappingBufferRecord record = entry.getValue();

            //diff states mapping detected
            if (record.diffStatesInitialized() && !record.isContracted()) {
                fromIndex = entry.getKey().intValue();
                toIndex = ig.generate(IndicesUtils.getType(fromIndex));
                preprocess.add(fromIndex, toIndex);

                byte states = record.getStates();
                if ((states & 1) == 1)
                    metrics.add(CC.createMetric(fromIndex, toIndex));
                else
                    metrics.add(CC.createMetric(0x80000000 | fromIndex, 0x80000000 | toIndex));
            }
        }
        //preprocessing conflicting indices
        target = ApplyIndexMappingTransformation.INSTANCE.perform(target, preprocess);

        //adding metrics
        if (!metrics.isEmpty()) {
            Product p = new Product();
            p.add(target);
            p.add(metrics);
            target = p;
        }
        IndexMappingImpl im = new IndexMappingImpl(usedIndices, indexMappingBuffer);
        return ApplyIndexMappingTransformation.INSTANCE.perform(target, im);
    }
View Full Code Here
53
54
55
56
57
58
59
60
    public Tensor transform(Tensor tensor) {
        IndexMappingBuffer im = IndexMappings.getFirst(from, tensor, false);
        if (im == null)
            return tensor;
        Tensor newTo = to.clone();
        (new IndexMappingImpl(new int[0],im)).apply(newTo);
        return newTo;
    }
View Full Code Here
102
103
104
105
106
107
108
109
110
111
112
                    resulting.add(currentContent.get(i));
            if (!currentContent.getFactor().isOne())
                resulting.add(new TensorNumber(currentContent.getFactor()));
            Tensor newTo = to.clone();
            if (!allowDiffStates || !IndexMappingUtils.containsDiffStates(buffer))
                newTo = ApplyIndexMappingTransformation.INSTANCE.perform(newTo, new IndexMappingImpl(iterator.usedIndices(), buffer));
            else
                newTo = ApplyIndexMappingUtils.applyIndexMappingWithDiffStates(newTo, buffer, iterator.usedIndices());
            if (buffer.getSignum())
                newTo = new Product(TensorNumber.createMINUSONE(), newTo);
            resulting.add(newTo);
View Full Code Here
77
78
79
80
81
82
83
84
85
86
87
                    if (IndexMappings.mappingExists(from, derivative.getVariation(i), true) //TODO Simple tensor optimization
                            || TensorUtils.contains(to, derivative.getVariation(i)))
                        throw new InconsistentSubstitutionException("TODO message");
            Tensor newTo = to.clone();
            if (!allowDiffStates || !IndexMappingUtils.containsDiffStates(buffer))
                newTo = ApplyIndexMappingTransformation.INSTANCE.perform(newTo, new IndexMappingImpl(iterator.usedIndices(), buffer));
            else
                newTo = ApplyIndexMappingUtils.applyIndexMappingWithDiffStates(newTo, buffer, iterator.usedIndices());
            if (buffer.getSignum() == true)
                newTo = new Product(TensorNumber.createMINUSONE(), newTo);
            iterator.set(newTo);
View Full Code Here
TOP

Related Classes of cc.redberry.core.indexmapping.IndexMappingImpl

  • cc.redberry.core.indexgenerator.IndexGenerator
  • cc.redberry.core.transformations.RenameConflictingIndices
  • cc.redberry.tensorgenerator.IndexMappingPermutationsGenerator
  • cc.redberry.transformation.substitutions.ApplyIndexMappingUtils
  • cc.redberry.transformation.substitutions.n.ProductSubstitution
  • cc.redberry.transformation.substitutions.n.SimpleSubstitution
  • cc.redberry.transformation.substitutions.n.TensorFieldSubstitution
  • cc.redberry.transformation.substitutions.NaiveSubstitution
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.