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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2017, 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);
}
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);
}
}
}
}