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A fast and easy to use dense and sparse matrix linear algebra library written in Java.

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/*
 * Copyright (c) 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.data;

import org.ejml.ops.MatrixIO;

import javax.annotation.Generated;

/**
 * Fixed sized vector with 6 elements.  Can represent a 6 x 1 or 1 x 6 matrix, context dependent.
 *
 * 

DO NOT MODIFY. Automatically generated code created by GenerateMatrixFixedN

* * @author Peter Abeles */ @Generated("org.ejml.data.GenerateMatrixFixedN") public class FMatrix6 implements FMatrixFixed { public float a1,a2,a3,a4,a5,a6; public FMatrix6() {} public FMatrix6( float a1, float a2, float a3, float a4, float a5, float a6 ) { this.a1 = a1; this.a2 = a2; this.a3 = a3; this.a4 = a4; this.a5 = a5; this.a6 = a6; } public FMatrix6( FMatrix6 o ) { this.a1 = o.a1; this.a2 = o.a2; this.a3 = o.a3; this.a4 = o.a4; this.a5 = o.a5; this.a6 = o.a6; } @Override public void zero() { a1 = 0.0f; a2 = 0.0f; a3 = 0.0f; a4 = 0.0f; a5 = 0.0f; a6 = 0.0f; } public void setTo( float a1, float a2, float a3, float a4, float a5, float a6 ) { this.a1 = a1; this.a2 = a2; this.a3 = a3; this.a4 = a4; this.a5 = a5; this.a6 = a6; } public void setTo( int offset , float[] array ) { this.a1 = array[offset+0]; this.a2 = array[offset+1]; this.a3 = array[offset+2]; this.a4 = array[offset+3]; this.a5 = array[offset+4]; this.a6 = array[offset+5]; } @Override public float get( int row, int col ) {return unsafe_get(row,col);} @Override public float unsafe_get( int row, int col ) { if (row != 0 && col != 0) throw new IllegalArgumentException("Row or column must be zero since this is a vector"); int w = Math.max(row,col); if (w == 0) { return a1; } else if (w == 1) { return a2; } else if (w == 2) { return a3; } else if (w == 3) { return a4; } else if (w == 4) { return a5; } else if (w == 5) { return a6; } else { throw new IllegalArgumentException("Out of range. "+w); } } @Override public void set( int row, int col, float val ) { unsafe_set(row,col,val); } @Override public void unsafe_set( int row, int col, float val ) { if (row != 0 && col != 0) throw new IllegalArgumentException("Row or column must be zero since this is a vector"); int w = Math.max(row,col); if (w == 0) { a1 = val; } else if (w == 1) { a2 = val; } else if (w == 2) { a3 = val; } else if (w == 3) { a4 = val; } else if (w == 4) { a5 = val; } else if (w == 5) { a6 = val; } else { throw new IllegalArgumentException("Out of range. "+w); } } @Override public void setTo( Matrix original ) { FMatrix m = (FMatrix)original; if (m.getNumCols() == 1 && m.getNumRows() == 6) { a1 = m.get(0,0); a2 = m.get(1,0); a3 = m.get(2,0); a4 = m.get(3,0); a5 = m.get(4,0); a6 = m.get(5,0); } else if (m.getNumRows() == 1 && m.getNumCols() == 6) { a1 = m.get(0,0); a2 = m.get(0,1); a3 = m.get(0,2); a4 = m.get(0,3); a5 = m.get(0,4); a6 = m.get(0,5); } else { throw new IllegalArgumentException("Incompatible shape"); } } @Override public int getNumRows() {return 6;} @Override public int getNumCols() {return 1;} @Override public int getNumElements() {return 6;} @Override public T copy() { return (T)new FMatrix6(this); } @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 T createLike() {return (T)new FMatrix6();} @Override public MatrixType getType() {return MatrixType.UNSPECIFIED;} }




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