Add compile-time EJML matrix wrapper to wpiutil (#1804)

This adds a wrapper over EJML's SimpleMatrix that uses generated classes representing numbers to encode the dimensions of each matrix at compile time, and to check operations between matrices for validity at compile time, rather than failing with an exception at runtime. This is required for the Java implementation of state-space control.

Additions to the wpiutil gradle script, and a python script at the wpiutil root are used to generate numeric types from a template at build time for both gradle and cmake. Users will be able to access types through functions on the Nat class.
This commit is contained in:
Redrield
2019-08-18 18:00:40 -04:00
committed by Peter Johnson
parent 3ebc5a6d3a
commit 7e95010a29
13 changed files with 1046 additions and 1 deletions

View File

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/*----------------------------------------------------------------------------*/
/* Copyright (c) 2019 FIRST. All Rights Reserved. */
/* Open Source Software - may be modified and shared by FRC teams. The code */
/* must be accompanied by the FIRST BSD license file in the root directory of */
/* the project. */
/*----------------------------------------------------------------------------*/
package edu.wpi.first.wpiutil.math;
import org.ejml.data.SingularMatrixException;
import org.ejml.dense.row.MatrixFeatures_DDRM;
import org.ejml.simple.SimpleMatrix;
import org.junit.jupiter.api.Test;
import edu.wpi.first.wpiutil.math.numbers.N1;
import edu.wpi.first.wpiutil.math.numbers.N2;
import edu.wpi.first.wpiutil.math.numbers.N3;
import edu.wpi.first.wpiutil.math.numbers.N4;
import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;
public class MatrixTest {
@Test
void testMatrixMultiplication() {
var mat1 = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(2.0, 1.0,
0.0, 1.0);
var mat2 = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(3.0, 0.0,
0.0, 2.5);
Matrix<N2, N2> result = mat1.times(mat2);
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(6.0, 2.5,
0.0, 2.5).getStorage().getDDRM(),
result.getStorage().getDDRM()
));
var mat3 = MatrixUtils.mat(Nat.N2(), Nat.N3())
.fill(1.0, 3.0, 0.5,
2.0, 4.3, 1.2);
var mat4 = MatrixUtils.mat(Nat.N3(), Nat.N4())
.fill(3.0, 1.5, 2.0, 4.5,
2.3, 1.0, 1.6, 3.1,
5.2, 2.1, 2.0, 1.0);
Matrix<N2, N4> result2 = mat3.times(mat4);
assertTrue(MatrixFeatures_DDRM.isIdentical(
MatrixUtils.mat(Nat.N2(), Nat.N4())
.fill(12.5, 5.55, 7.8, 14.3,
22.13, 9.82, 13.28, 23.53).getStorage().getDDRM(),
result2.getStorage().getDDRM(),
1E-9
));
}
@Test
void testMatrixVectorMultiplication() {
var mat = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(1.0, 1.0,
0.0, 1.0);
var vec = MatrixUtils.vec(Nat.N2())
.fill(3.0,
2.0);
Matrix<N2, N1> result = mat.times(vec);
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.vec(Nat.N2())
.fill(5.0,
2.0).getStorage().getDDRM(),
result.getStorage().getDDRM()
));
}
@Test
void testTranspose() {
Matrix<N3, N1> vec = MatrixUtils.vec(Nat.N3())
.fill(1.0,
2.0,
3.0);
Matrix<N1, N3> transpose = vec.transpose();
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N1(), Nat.N3()).fill(1.0, 2.0, 3.0).getStorage()
.getDDRM(),
transpose.getStorage().getDDRM()
));
}
@Test
void testInverse() {
var mat = MatrixUtils.mat(Nat.N3(), Nat.N3())
.fill(1.0, 3.0, 2.0,
5.0, 2.0, 1.5,
0.0, 1.3, 2.5);
var inv = mat.inv();
assertTrue(MatrixFeatures_DDRM.isIdentical(
MatrixUtils.eye(Nat.N3()).getStorage().getDDRM(),
mat.times(inv).getStorage().getDDRM(),
1E-9
));
assertTrue(MatrixFeatures_DDRM.isIdentical(
MatrixUtils.eye(Nat.N3()).getStorage().getDDRM(),
inv.times(mat).getStorage().getDDRM(),
1E-9
));
}
@Test
void testUninvertableMatrix() {
var singularMatrix = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(2.0, 1.0,
2.0, 1.0);
assertThrows(SingularMatrixException.class, singularMatrix::inv);
}
@Test
void testMatrixScalarArithmetic() {
var mat = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(1.0, 2.0,
3.0, 4.0);
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(3.0, 4.0,
5.0, 6.0).getStorage().getDDRM(),
mat.plus(2.0).getStorage().getDDRM()
));
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(0.0, 1.0,
2.0, 3.0).getStorage().getDDRM(),
mat.minus(1.0).getStorage().getDDRM()
));
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(2.0, 4.0,
6.0, 8.0).getStorage().getDDRM(),
mat.times(2.0).getStorage().getDDRM()
));
assertTrue(MatrixFeatures_DDRM.isIdentical(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(0.5, 1.0,
1.5, 2.0).getStorage().getDDRM(),
mat.div(2.0).getStorage().getDDRM(),
1E-3
));
}
@Test
void testMatrixMatrixArithmetic() {
var mat1 = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(1.0, 2.0,
3.0, 4.0);
var mat2 = MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(5.0, 6.0,
7.0, 8.0);
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(-4.0, -4.0,
-4.0, -4.0).getStorage().getDDRM(),
mat1.minus(mat2).getStorage().getDDRM()
));
assertTrue(MatrixFeatures_DDRM.isEquals(
MatrixUtils.mat(Nat.N2(), Nat.N2())
.fill(6.0, 8.0,
10.0, 12.0).getStorage().getDDRM(),
mat1.plus(mat2).getStorage().getDDRM()
));
}
@Test
void testMatrixExponential() {
SimpleMatrix matrix = MatrixUtils.eye(Nat.N2()).getStorage();
var result = SimpleMatrixUtils.expm(matrix);
assertTrue(MatrixFeatures_DDRM.isIdentical(
result.getDDRM(),
new SimpleMatrix(2, 2, true, new double[]{Math.E, 0, 0, Math.E}).getDDRM(),
1E-9
));
matrix = new SimpleMatrix(2, 2, true, new double[]{1, 2, 3, 4});
result = SimpleMatrixUtils.expm(matrix.scale(0.01));
assertTrue(MatrixFeatures_DDRM.isIdentical(
result.getDDRM(),
new SimpleMatrix(2, 2, true, new double[]{1.01035625, 0.02050912,
0.03076368, 1.04111993}).getDDRM(),
1E-8
));
}
}