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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2021, 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.data;
import javax.annotation.Generated;
import org.ejml.UtilEjml;
import org.ejml.ops.MatrixIO;
import org.ejml.ops.SortCoupledArray_F32;
import org.jetbrains.annotations.Nullable;
import java.util.Arrays;
import java.util.Iterator;
/**
* Compressed Column (CC) sparse matrix format. Only non-zero elements are stored.
*
* Format:
* Row indexes for column j are stored in rol_idx[col_idx[j]] to rol_idx[col_idx[j+1]-1]. The values
* for the corresponding elements are stored at data[col_idx[j]] to data[col_idx[j+1]-1].
*
* Row indexes must be specified in chronological order.
*
*
* @author Peter Abeles
*/
@Generated("org.ejml.data.DMatrixSparseCSC")
public class FMatrixSparseCSC implements FMatrixSparse {
/**
* Storage for non-zero values. Only valid up to length-1.
*/
public float[] nz_values = UtilEjml.ZERO_LENGTH_F32;
/**
* Length of data. Number of non-zero values in the matrix
*/
public int nz_length;
/**
* Specifies which row a specific non-zero value corresponds to. If they are sorted or not with in each column
* is specified by the {@link #indicesSorted} flag.
*/
public int[] nz_rows = UtilEjml.ZERO_LENGTH_I32;
/**
* Stores the range of indexes in the non-zero lists that belong to each column. Column 'i' corresponds to
* indexes col_idx[i] to col_idx[i+1]-1, inclusive.
*/
public int[] col_idx;
/**
* Number of rows in the matrix
*/
public int numRows;
/**
* Number of columns in the matrix
*/
public int numCols;
/**
* Flag that's used to indicate of the row indices are sorted or not.
*/
public boolean indicesSorted = false;
/**
* Constructor with a default arrayLength of zero.
*
* @param numRows Number of rows
* @param numCols Number of columns
*/
public FMatrixSparseCSC( int numRows, int numCols ) {
this(numRows, numCols, 0);
}
/**
* Specifies shape and number of non-zero elements that can be stored.
*
* @param numRows Number of rows
* @param numCols Number of columns
* @param arrayLength Initial maximum number of non-zero elements that can be in the matrix
*/
public FMatrixSparseCSC( int numRows, int numCols, int arrayLength ) {
if (numRows < 0 || numCols < 0 || arrayLength < 0)
throw new IllegalArgumentException("Rows, columns, and arrayLength must be not be negative");
this.numRows = numRows;
this.numCols = numCols;
this.nz_length = 0;
col_idx = new int[numCols + 1];
growMaxLength(arrayLength, false);
}
public FMatrixSparseCSC( FMatrixSparseCSC original ) {
this(original.numRows, original.numCols, original.nz_length);
setTo(original);
}
@Override
public int getNumRows() {
return numRows;
}
@Override
public int getNumCols() {
return numCols;
}
@Override
public FMatrixSparseCSC copy() {
return new FMatrixSparseCSC(this);
}
@Override
public FMatrixSparseCSC createLike() {
return new FMatrixSparseCSC(numRows, numCols);
}
@Override
public void setTo( Matrix original ) {
FMatrixSparseCSC o = (FMatrixSparseCSC)original;
reshape(o.numRows, o.numCols, o.nz_length);
this.nz_length = o.nz_length;
System.arraycopy(o.nz_values, 0, nz_values, 0, nz_length);
System.arraycopy(o.nz_rows, 0, nz_rows, 0, nz_length);
System.arraycopy(o.col_idx, 0, col_idx, 0, numCols + 1);
this.indicesSorted = o.indicesSorted;
}
@Override
public void print() {
MatrixIO.printFancy(System.out, this, MatrixIO.DEFAULT_LENGTH);
}
@Override
public void print( String format ) {
MatrixIO.print(System.out, this, format);
}
@Override
public void printNonZero() {
String format = "%d %d " + MatrixIO.DEFAULT_FLOAT_FORMAT + "\n";
System.out.println("Type = " + getType().name() + " , rows = " + numRows + " , cols = " + numCols
+ " , nz_length = " + nz_length);
for (int col = 0; col < numCols; col++) {
int idx0 = col_idx[col];
int idx1 = col_idx[col + 1];
for (int i = idx0; i < idx1; i++) {
int row = nz_rows[i];
float value = nz_values[i];
System.out.printf(format, row, col, value);
}
}
}
@Override
public boolean isAssigned( int row, int col ) {
return nz_index(row, col) >= 0;
}
@Override
public float get( int row, int col ) {
if (row < 0 || row >= numRows || col < 0 || col >= numCols)
throw new IllegalArgumentException("Outside of matrix bounds");
return unsafe_get(row, col);
}
@Override
public float get( int row, int col, float fallBackValue ) {
if (row < 0 || row >= numRows || col < 0 || col >= numCols)
throw new IllegalArgumentException("Outside of matrix bounds");
return unsafe_get(row, col, fallBackValue);
}
@Override
public float unsafe_get( int row, int col ) {
int index = nz_index(row, col);
if (index >= 0)
return nz_values[index];
return 0;
}
@Override
public float unsafe_get( int row, int col, float fallBackValue ) {
int index = nz_index(row, col);
if (index >= 0)
return nz_values[index];
return fallBackValue;
}
/**
* Returns the index in nz_rows for the element at (row,col) if it already exists in the matrix. If not then -1
* is returned.
*
* @param row row coordinate
* @param col column coordinate
* @return nz_row index or -1 if the element does not exist
*/
public int nz_index( int row, int col ) {
int col0 = col_idx[col];
int col1 = col_idx[col + 1];
if (this.indicesSorted) {
return Arrays.binarySearch(nz_rows, col0, col1, row);
} else {
for (int i = col0; i < col1; i++) {
if (nz_rows[i] == row) {
return i;
}
}
return -1;
}
}
@Override
public void set( int row, int col, float val ) {
if (row < 0 || row >= numRows || col < 0 || col >= numCols)
throw new IllegalArgumentException("Outside of matrix bounds");
unsafe_set(row, col, val);
}
@Override
public void unsafe_set( int row, int col, float val ) {
int index = nz_index(row, col);
if (index >= 0) {
nz_values[index] = val;
} else {
int idx0 = col_idx[col];
int idx1 = col_idx[col + 1];
// determine the index the new element should be inserted at. This is done to keep it sorted if
// it was already sorted
for (index = idx0; index < idx1; index++) {
if (row < nz_rows[index]) {
break;
}
}
// shift all the col_idx after this point by 1
for (int i = col + 1; i <= numCols; i++) {
col_idx[i]++;
}
// if it's already at the maximum array length grow the arrays
if (nz_length >= nz_values.length)
growMaxLength(nz_length*2 + 1, true);
// shift everything by one
for (int i = nz_length; i > index; i--) {
nz_rows[i] = nz_rows[i - 1];
nz_values[i] = nz_values[i - 1];
}
nz_rows[index] = row;
nz_values[index] = val;
nz_length++;
}
}
@Override
public void remove( int row, int col ) {
int index = nz_index(row, col);
if (index < 0) // it's not in the nz structure
return;
// shift all the col_idx after this point by -1
for (int i = col + 1; i <= numCols; i++) {
col_idx[i]--;
}
nz_length--;
for (int i = index; i < nz_length; i++) {
nz_rows[i] = nz_rows[i + 1];
nz_values[i] = nz_values[i + 1];
}
}
@Override
public void zero() {
Arrays.fill(col_idx, 0, numCols + 1, 0);
nz_length = 0;
indicesSorted = false; // see justification in reshape
}
@Override
public FMatrixSparseCSC create( int numRows, int numCols ) {
return new FMatrixSparseCSC(numRows, numCols);
}
@Override
public int getNonZeroLength() {
return nz_length;
}
@Override
public void reshape( int numRows, int numCols, int arrayLength ) {
// OK so technically it is sorted, but forgetting to correctly set this flag is a common mistake so
// decided to be conservative and mark it as unsorted so that stuff doesn't blow up
this.indicesSorted = false;
this.numRows = numRows;
this.numCols = numCols;
growMaxLength(arrayLength, false);
this.nz_length = 0;
if (numCols + 1 > col_idx.length) {
col_idx = new int[numCols + 1];
} else {
Arrays.fill(col_idx, 0, numCols + 1, 0);
}
}
@Override
public void reshape( int numRows, int numCols ) {
reshape(numRows, numCols, 0);
}
@Override
public void shrinkArrays() {
if (nz_length < nz_values.length) {
float[] tmp_values = new float[nz_length];
int[] tmp_rows = new int[nz_length];
System.arraycopy(this.nz_values, 0, tmp_values, 0, nz_length);
System.arraycopy(this.nz_rows, 0, tmp_rows, 0, nz_length);
this.nz_values = tmp_values;
this.nz_rows = tmp_rows;
}
}
/**
* Increases the maximum size of the data array so that it can store sparse data up to 'length'. The class
* parameter nz_length is not modified by this function call.
*
* @param arrayLength Desired maximum length of sparse data
* @param preserveValue If true the old values will be copied into the new arrays. If false that step will be skipped.
*/
public void growMaxLength( int arrayLength, boolean preserveValue ) {
if (arrayLength < 0)
throw new IllegalArgumentException("Negative array length. Overflow?");
// NOTE: The code below has been (experimentally) commented out. A situation arose where we wanted to exceed
// the max physical size, which would then be corrected later on.
// see if multiplying numRows*numCols will cause an overflow. If it won't then pick the smaller of the two
// if( numRows != 0 && numCols <= Integer.MAX_VALUE / numRows ) {
// // save the user from themselves
// arrayLength = Math.min(numRows*numCols, arrayLength);
// }
if (arrayLength > this.nz_values.length) {
float[] data = new float[arrayLength];
int[] row_idx = new int[arrayLength];
if (preserveValue) {
System.arraycopy(this.nz_values, 0, data, 0, this.nz_length);
System.arraycopy(this.nz_rows, 0, row_idx, 0, this.nz_length);
}
this.nz_values = data;
this.nz_rows = row_idx;
}
}
/**
* Increases the maximum number of columns in the matrix.
*
* @param desiredColumns Desired number of columns.
* @param preserveValue If the array needs to be expanded should it copy the previous values?
*/
public void growMaxColumns( int desiredColumns, boolean preserveValue ) {
if (col_idx.length < desiredColumns + 1) {
int[] c = new int[desiredColumns + 1];
if (preserveValue)
System.arraycopy(col_idx, 0, c, 0, col_idx.length);
col_idx = c;
}
}
/**
* Given the histogram of columns compute the col_idx for the matrix. nz_length is automatically set and
* nz_values will grow if needed.
*
* @param histogram histogram of column values in the sparse matrix. modified, see above.
*/
public void histogramToStructure( int[] histogram ) {
col_idx[0] = 0;
int index = 0;
for (int i = 1; i <= numCols; i++) {
col_idx[i] = index += histogram[i - 1];
}
nz_length = index;
growMaxLength(nz_length, false);
if (col_idx[numCols] != nz_length)
throw new RuntimeException("Egads");
}
/**
* Sorts the row indices in ascending order.
*
* @param sorter (Optional) Used to sort rows. If null a new instance will be declared internally.
*/
public void sortIndices( @Nullable SortCoupledArray_F32 sorter ) {
if (sorter == null)
sorter = new SortCoupledArray_F32();
sorter.quick(col_idx, numCols + 1, nz_rows, nz_values);
indicesSorted = true;
}
/**
* Copies the non-zero structure of orig into "this"
*
* @param orig Matrix who's structure is to be copied
*/
public void copyStructure( FMatrixSparseCSC orig ) {
reshape(orig.numRows, orig.numCols, orig.nz_length);
this.nz_length = orig.nz_length;
System.arraycopy(orig.col_idx, 0, col_idx, 0, orig.numCols + 1);
System.arraycopy(orig.nz_rows, 0, nz_rows, 0, orig.nz_length);
}
/**
* If the indices has been sorted or not
*
* @return true if sorted or false if not sorted
*/
public boolean isIndicesSorted() {
return indicesSorted;
}
/**
* Returns true if number of non-zero elements is the maximum size
*
* @return true if no more non-zero elements can be added
*/
public boolean isFull() {
return nz_length == numRows*numCols;
}
@Override
public MatrixType getType() {
return MatrixType.FSCC;
}
@Override
public Iterator createCoordinateIterator() {
return new Iterator<>() {
final CoordinateRealValue coordinate = new CoordinateRealValue();
int nz_index = 0; // the index of the non-zero value and row
int column = 0; // which column it's in
{
incrementColumn();
}
@Override
public boolean hasNext() {
return nz_index < nz_length;
}
@Override
public CoordinateRealValue next() {
coordinate.row = nz_rows[nz_index];
coordinate.col = column;
coordinate.value = nz_values[nz_index];
nz_index++;
incrementColumn();
return coordinate;
}
private void incrementColumn() {
while (column + 1 <= numCols && nz_index >= col_idx[column + 1]) {
column++;
}
}
};
}
}