Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* Copyright (c) 2009-2018, 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.ops;
import org.ejml.data.*;
import java.io.*;
import java.text.DecimalFormat;
import java.util.Arrays;
import static org.ejml.UtilEjml.fancyString;
import static org.ejml.UtilEjml.fancyStringF;
/**
* Provides simple to use routines for reading and writing matrices to and from files.
*
* @author Peter Abeles
*/
public class MatrixIO {
public static final String DEFAULT_FLOAT_FORMAT = "%11.4E";
public static final int DEFAULT_LENGTH = 11; // length of pretty print
/**
* Saves a matrix to disk using Java binary serialization.
*
* @param A The matrix being saved.
* @param fileName Name of the file its being saved at.
* @throws java.io.IOException
*/
public static void saveBin(DMatrix A, String fileName)
throws IOException
{
FileOutputStream fileStream = new FileOutputStream(fileName);
ObjectOutputStream stream = new ObjectOutputStream(fileStream);
try {
stream.writeObject(A);
stream.flush();
} finally {
// clean up
try {
stream.close();
} finally {
fileStream.close();
}
}
}
/**
* Loads a {@link DMatrix} which has been saved to file using Java binary
* serialization.
*
* @param fileName The file being loaded.
* @return DMatrixRMaj
* @throws IOException
*/
public static T loadBin(String fileName)
throws IOException
{
FileInputStream fileStream = new FileInputStream(fileName);
ObjectInputStream stream = new ObjectInputStream(fileStream);
T ret;
try {
ret = (T)stream.readObject();
if( stream.available() != 0 ) {
throw new RuntimeException("File not completely read?");
}
} catch (ClassNotFoundException e) {
throw new RuntimeException(e);
}
stream.close();
return (T)ret;
}
/**
* Saves a matrix to disk using in a Column Space Value (CSV) format. For a
* description of the format see {@link MatrixIO#loadCSV(String,boolean)}.
*
* @param A The matrix being saved.
* @param fileName Name of the file its being saved at.
* @throws java.io.IOException
*/
public static void saveDenseCSV(DMatrix A , String fileName )
throws IOException
{
PrintStream fileStream = new PrintStream(fileName);
fileStream.println(A.getNumRows() + " " + A.getNumCols() + " real");
for( int i = 0; i < A.getNumRows(); i++ ) {
for( int j = 0; j < A.getNumCols(); j++ ) {
fileStream.print(A.get(i,j)+" ");
}
fileStream.println();
}
fileStream.close();
}
/**
* Saves a matrix to disk using in a Column Space Value (CSV) format. For a
* description of the format see {@link MatrixIO#loadCSV(String,boolean)}.
*
* @param A The matrix being saved.
* @param fileName Name of the file its being saved at.
* @throws java.io.IOException
*/
public static void saveSparseCSV(DMatrixSparseTriplet A , String fileName )
throws IOException
{
PrintStream fileStream = new PrintStream(fileName);
fileStream.println(A.getNumRows() + " " + A.getNumCols() +" "+A.nz_length+ " real");
for (int i = 0; i < A.nz_length; i++) {
int row = A.nz_rowcol.data[i*2];
int col = A.nz_rowcol.data[i*2+1];
double value = A.nz_value.data[i];
fileStream.println(row+" "+col+" "+value);
}
fileStream.close();
}
/**
* Saves a matrix to disk using in a Column Space Value (CSV) format. For a
* description of the format see {@link MatrixIO#loadCSV(String,boolean)}.
*
* @param A The matrix being saved.
* @param fileName Name of the file its being saved at.
* @throws java.io.IOException
*/
public static void saveSparseCSV(FMatrixSparseTriplet A , String fileName )
throws IOException
{
PrintStream fileStream = new PrintStream(fileName);
fileStream.println(A.getNumRows() + " " + A.getNumCols() +" "+A.nz_length+ " real");
for (int i = 0; i < A.nz_length; i++) {
int row = A.nz_rowcol.data[i*2];
int col = A.nz_rowcol.data[i*2+1];
float value = A.nz_value.data[i];
fileStream.println(row+" "+col+" "+value);
}
fileStream.close();
}
/**
* Reads a matrix in which has been encoded using a Column Space Value (CSV)
* file format. The number of rows and columns are read in on the first line. Then
* each row is read in the subsequent lines.
*
* Works with dense and sparse matrices.
*
* @param fileName The file being loaded.
* @return DMatrix
* @throws IOException
*/
public static T loadCSV(String fileName , boolean doublePrecision )
throws IOException
{
FileInputStream fileStream = new FileInputStream(fileName);
ReadMatrixCsv csv = new ReadMatrixCsv(fileStream);
T ret;
if( doublePrecision )
ret = csv.read64();
else
ret = csv.read32();
fileStream.close();
return ret;
}
/**
* Reads a matrix in which has been encoded using a Column Space Value (CSV)
* file format. For a description of the format see {@link MatrixIO#loadCSV(String,boolean)}.
*
* @param fileName The file being loaded.
* @param numRows number of rows in the matrix.
* @param numCols number of columns in the matrix.
* @return DMatrixRMaj
* @throws IOException
*/
public static DMatrixRMaj loadCSV(String fileName , int numRows , int numCols )
throws IOException
{
FileInputStream fileStream = new FileInputStream(fileName);
ReadMatrixCsv csv = new ReadMatrixCsv(fileStream);
DMatrixRMaj ret = csv.readDDRM(numRows, numCols);
fileStream.close();
return ret;
}
public static void printFancy(PrintStream out , DMatrix mat , int length ) {
printTypeSize(out, mat);
DecimalFormat format = new DecimalFormat("#");
final int cols = mat.getNumCols();
for (int row = 0; row < mat.getNumRows(); row++) {
for (int col = 0; col < cols; col++) {
out.print(fancyStringF(mat.get(row,col),format,length, 4));
if( col != cols-1 )
out.print(" ");
}
out.println();
}
}
public static void printFancy(PrintStream out , FMatrix mat , int length ) {
printTypeSize(out, mat);
DecimalFormat format = new DecimalFormat("#");
final int cols = mat.getNumCols();
for (int row = 0; row < mat.getNumRows(); row++) {
for (int col = 0; col < cols; col++) {
out.print(fancyStringF(mat.get(row,col),format,length, 4));
if( col != cols-1 )
out.print(" ");
}
out.println();
}
}
public static void printFancy(PrintStream out , ZMatrix mat , int length ) {
printTypeSize(out, mat);
DecimalFormat format = new DecimalFormat("#");
StringBuilder builder = new StringBuilder(length);
final int cols = mat.getNumCols();
Complex_F64 c = new Complex_F64();
for( int y = 0; y < mat.getNumRows(); y++ ) {
for( int x = 0; x < cols; x++ ) {
mat.get(y,x,c);
String real = fancyString(c.real,format,length,4);
String img = fancyString(c.imaginary,format,length,4);
real = real+padSpace(builder,length-real.length());
img = img+"i"+padSpace(builder,length-img.length());
out.print(real+" + "+ img);
if( x < mat.getNumCols()-1 ) {
out.print(" , ");
}
}
out.println();
}
}
public static void printFancy(PrintStream out , CMatrix mat , int length ) {
printTypeSize(out, mat);
DecimalFormat format = new DecimalFormat("#");
StringBuilder builder = new StringBuilder(length);
final int cols = mat.getNumCols();
Complex_F32 c = new Complex_F32();
for( int y = 0; y < mat.getNumRows(); y++ ) {
for( int x = 0; x < cols; x++ ) {
mat.get(y,x,c);
String real = fancyString(c.real,format,length,4);
String img = fancyString(c.imaginary,format,length,4);
real = real+padSpace(builder,length-real.length());
img = img+padSpace(builder,length-img.length());
out.print(real+" + "+ img+"i ");
if( x < mat.getNumCols()-1 ) {
out.print(" , ");
}
}
out.println();
}
}
private static String padSpace(StringBuilder builder , int length ) {
builder.delete(0,builder.length());
for (int i = 0; i < length; i++) {
builder.append(' ');
}
return builder.toString();
}
public static void printFancy(PrintStream out , DMatrixSparseCSC m , int length ) {
DecimalFormat format = new DecimalFormat("#");
printTypeSize(out, m);
char[] zero = new char[length];
Arrays.fill(zero, ' ');
zero[length / 2] = '*';
for (int row = 0; row < m.numRows; row++) {
for (int col = 0; col < m.numCols; col++) {
int index = m.nz_index(row, col);
if (index >= 0)
out.print(fancyStringF(m.nz_values[index],format,length, 4));
else
out.print(zero);
if (col != m.numCols - 1)
out.print(" ");
}
out.println();
}
}
public static void print( PrintStream out , Matrix mat ) {
String format = DEFAULT_FLOAT_FORMAT;
switch( mat.getType() ) {
case DDRM:
print(out,(DMatrix)mat,format);
break;
case FDRM:
print(out,(FMatrix)mat,format);
break;
case ZDRM:
print(out,(ZMatrix)mat,format);
break;
case CDRM:
print(out,(CMatrix)mat,format);
break;
case DSCC:
print(out,(DMatrixSparseCSC)mat,format);
break;
case DTRIPLET:
print(out,(DMatrixSparseTriplet)mat,format);
break;
case FSCC:
print(out,(FMatrixSparseCSC)mat,format);
break;
case FTRIPLET:
print(out,(FMatrixSparseTriplet)mat,format);
break;
default:
throw new RuntimeException("Unknown type "+mat.getType());
}
}
public static void print( PrintStream out , DMatrix mat ) {
print(out,mat,DEFAULT_FLOAT_FORMAT);
}
/**
* Prints the matrix out in a text format. The format is specified using notation from
* {@link String#format(String, Object...)}. Unless the format is set to 'matlab' then it will print it out
* in a format that's understood by Matlab. 'java' will print a java 2D array.
*
* @param out Output stream
* @param mat Matrix to be printed
* @param format printf style or 'matlab'
*/
public static void print(PrintStream out , DMatrix mat , String format ) {
if( format.toLowerCase().equals("matlab")) {
printMatlab(out, mat);
} else if( format.toLowerCase().equals("java")) {
printJava(out,mat,format);
} else {
printTypeSize(out, mat);
format += " ";
for (int row = 0; row < mat.getNumRows(); row++) {
for (int col = 0; col < mat.getNumCols(); col++) {
out.printf(format, mat.get(row, col));
}
out.println();
}
}
}
public static void printMatlab(PrintStream out , DMatrix mat ) {
out.print("[ ");
for( int row = 0; row < mat.getNumRows(); row++ ) {
for( int col = 0; col < mat.getNumCols(); col++ ) {
out.printf("%.12E",mat.get(row,col));
if( col+1 < mat.getNumCols() ) {
out.print(" , ");
}
}
if( row+1 < mat.getNumRows() )
out.println(" ;");
else
out.println(" ]");
}
}
public static void printMatlab(PrintStream out , FMatrix mat ) {
out.print("[ ");
for( int row = 0; row < mat.getNumRows(); row++ ) {
for( int col = 0; col < mat.getNumCols(); col++ ) {
out.printf("%.8E",mat.get(row,col));
if( col+1 < mat.getNumCols() ) {
out.print(" , ");
}
}
if( row+1 < mat.getNumRows() )
out.println(" ;");
else
out.println(" ]");
}
}
/**
* Prints the matrix out in a text format. The format is specified using notation from
* {@link String#format(String, Object...)}. Unless the format is set to 'matlab' then it will print it out
* in a format that's understood by Matlab.
* @param out Output stream
* @param m Matrix to be printed
* @param format printf style or 'matlab'
*/
public static void print( PrintStream out , DMatrixSparseCSC m , String format ) {
if( format.toLowerCase().equals("matlab")) {
printMatlab(out,m);
} else {
printTypeSize(out, m);
int length = String.format(format, -1.1123).length();
char[] zero = new char[length];
Arrays.fill(zero, ' ');
zero[length / 2] = '*';
for (int row = 0; row < m.numRows; row++) {
for (int col = 0; col < m.numCols; col++) {
int index = m.nz_index(row, col);
if (index >= 0)
out.printf(format, m.nz_values[index]);
else
out.print(zero);
if (col != m.numCols - 1)
out.print(" ");
}
out.println();
}
}
}
public static void print( PrintStream out , FMatrixSparseCSC m , String format ) {
if( format.toLowerCase().equals("matlab")) {
printMatlab(out,m);
} else {
printTypeSize(out, m);
int length = String.format(format, -1.1123).length();
char[] zero = new char[length];
Arrays.fill(zero, ' ');
zero[length / 2] = '*';
for (int row = 0; row < m.numRows; row++) {
for (int col = 0; col < m.numCols; col++) {
int index = m.nz_index(row, col);
if (index >= 0)
out.printf(format, m.nz_values[index]);
else
out.print(zero);
if (col != m.numCols - 1)
out.print(" ");
}
out.println();
}
}
}
public static void print( PrintStream out , DMatrixSparseTriplet m , String format ) {
printTypeSize(out,m);
for (int row = 0; row < m.numRows; row++) {
for (int col = 0; col < m.numCols; col++) {
int index = m.nz_index(row,col);
if( index >= 0 )
out.printf(format,m.nz_value.data[index]);
else
out.print(" * ");
if( col != m.numCols-1 )
out.print(" ");
}
out.println();
}
}
public static void print( PrintStream out , FMatrixSparseTriplet m , String format ) {
printTypeSize(out,m);
for (int row = 0; row < m.numRows; row++) {
for (int col = 0; col < m.numCols; col++) {
int index = m.nz_index(row,col);
if( index >= 0 )
out.printf(format,m.nz_value.data[index]);
else
out.print(" * ");
if( col != m.numCols-1 )
out.print(" ");
}
out.println();
}
}
public static void printJava(PrintStream out , DMatrix mat , String format ) {
String type = mat.getType().getBits() == 64 ? "double" : "float";
out.println("new "+type+"[][]{");
format += " ";
for( int y = 0; y < mat.getNumRows(); y++ ) {
out.print("{");
for( int x = 0; x < mat.getNumCols(); x++ ) {
out.printf(format,mat.get(y,x));
if( x+1
