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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2020, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.ejml.equation;
import org.ejml.data.DMatrixRMaj;
import org.ejml.dense.row.CommonOps_DDRM;
import java.util.ArrayList;
import java.util.List;
/**
* matrix used to construct a matrix from a sequence of concatenations.
*
* @author Peter Abeles
*/
public class MatrixConstructor {
VariableMatrix output;
List- items = new ArrayList
- ();
public MatrixConstructor( ManagerTempVariables manager ) {
this.output = manager.createMatrix();
}
public void addToRow( Variable variable ) {
if (variable.getType() == VariableType.INTEGER_SEQUENCE) {
if (((VariableIntegerSequence)variable).sequence.requiresMaxIndex())
throw new ParseError("Trying to create a matrix with an unbounded integer range." +
" Forgot a value after a colon?");
}
items.add(new Item(variable));
}
public void endRow() {
items.add(new Item());
}
public void construct() {
// make sure the last item is and end row
if (!items.get(items.size() - 1).endRow)
endRow();
// have to initialize some variable types first to get the actual size
for (int i = 0; i < items.size(); i++) {
items.get(i).initialize();
}
setToRequiredSize(output.matrix);
int matrixRow = 0;
List
- row = new ArrayList
- ();
for (int i = 0; i < items.size(); i++) {
Item item = items.get(i);
if (item.endRow) {
int expectedRows = 0;
int numCols = 0;
for (int j = 0; j < row.size(); j++) {
Item v = row.get(j);
int numRows = v.getRows();
if (j == 0) {
expectedRows = numRows;
} else if (v.getRows() != expectedRows) {
throw new RuntimeException("Row miss-matched. " + numRows + " " + v.getRows());
}
if (v.matrix) {
CommonOps_DDRM.insert(v.getMatrix(), output.matrix, matrixRow, numCols);
} else if (v.variable.getType() == VariableType.SCALAR) {
output.matrix.set(matrixRow, numCols, v.getValue());
} else if (v.variable.getType() == VariableType.INTEGER_SEQUENCE) {
IntegerSequence sequence = ((VariableIntegerSequence)v.variable).sequence;
int col = numCols;
while (sequence.hasNext()) {
output.matrix.set(matrixRow, col++, sequence.next());
}
} else {
throw new ParseError("Can't insert a variable of type " + v.variable.getType() + " inside a matrix!");
}
numCols += v.getColumns();
}
matrixRow += expectedRows;
row.clear();
} else {
row.add(item);
}
}
}
public VariableMatrix getOutput() {
return output;
}
protected void setToRequiredSize( DMatrixRMaj matrix ) {
int matrixRow = 0;
int matrixCol = 0;
List
- row = new ArrayList
- ();
for (int i = 0; i < items.size(); i++) {
Item item = items.get(i);
if (item.endRow) {
Item v = row.get(0);
int numRows = v.getRows();
int numCols = v.getColumns();
for (int j = 1; j < row.size(); j++) {
v = row.get(j);
if (v.getRows() != numRows)
throw new RuntimeException("Row miss-matched. " + numRows + " " + v.getRows());
numCols += v.getColumns();
}
matrixRow += numRows;
if (matrixCol == 0)
matrixCol = numCols;
else if (matrixCol != numCols)
throw new ParseError("Row " + matrixRow + " has an unexpected number of columns; expected = " + matrixCol + " found = " + numCols);
row.clear();
} else {
row.add(item);
}
}
matrix.reshape(matrixRow, matrixCol);
}
@SuppressWarnings("NullAway.Init")
private static class Item {
Variable variable;
boolean endRow;
boolean matrix;
private Item( Variable variable ) {
this.variable = variable;
matrix = variable instanceof VariableMatrix;
}
private Item() {
endRow = true;
}
public int getRows() {
if (matrix) {
return ((VariableMatrix)variable).matrix.numRows;
} else {
return 1;
}
}
public int getColumns() {
if (matrix) {
return ((VariableMatrix)variable).matrix.numCols;
} else if (variable.getType() == VariableType.SCALAR) {
return 1;
} else if (variable.getType() == VariableType.INTEGER_SEQUENCE) {
return ((VariableIntegerSequence)variable).sequence.length();
} else {
throw new RuntimeException("BUG! Should have been caught earlier");
}
}
public DMatrixRMaj getMatrix() {
return ((VariableMatrix)variable).matrix;
}
public double getValue() {
return ((VariableScalar)variable).getDouble();
}
public void initialize() {
if (variable != null && !matrix && variable.getType() == VariableType.INTEGER_SEQUENCE) {
((VariableIntegerSequence)variable).sequence.initialize(-1);
}
}
}
}