1 package org.djunits.value.vdouble.matrix;
2
3 import static org.junit.jupiter.api.Assertions.assertEquals;
4 import static org.junit.jupiter.api.Assertions.assertFalse;
5 import static org.junit.jupiter.api.Assertions.assertNotEquals;
6 import static org.junit.jupiter.api.Assertions.assertTrue;
7 import static org.junit.jupiter.api.Assertions.fail;
8
9 import org.djunits.unit.AbsoluteTemperatureUnit;
10 import org.djunits.unit.AngleUnit;
11 import org.djunits.unit.AreaUnit;
12 import org.djunits.unit.DirectionUnit;
13 import org.djunits.unit.DurationUnit;
14 import org.djunits.unit.LengthUnit;
15 import org.djunits.unit.PositionUnit;
16 import org.djunits.unit.TemperatureUnit;
17 import org.djunits.unit.TimeUnit;
18 import org.djunits.unit.util.UnitException;
19 import org.djunits.value.ValueRuntimeException;
20 import org.djunits.value.storage.StorageType;
21 import org.djunits.value.vdouble.function.DoubleMathFunctions;
22 import org.djunits.value.vdouble.matrix.base.DoubleSparseValue;
23 import org.djunits.value.vdouble.matrix.data.DoubleMatrixData;
24 import org.djunits.value.vdouble.scalar.AbsoluteTemperature;
25 import org.djunits.value.vdouble.scalar.Area;
26 import org.djunits.value.vdouble.scalar.Direction;
27 import org.djunits.value.vdouble.scalar.Duration;
28 import org.djunits.value.vdouble.scalar.Length;
29 import org.djunits.value.vdouble.scalar.Position;
30 import org.djunits.value.vdouble.scalar.Time;
31 import org.djunits.value.vdouble.vector.AreaVector;
32 import org.djunits.value.vfloat.matrix.FloatAreaMatrix;
33 import org.djunits.value.vfloat.vector.FLOATVECTOR;
34 import org.djutils.exceptions.Try;
35 import org.junit.jupiter.api.Test;
36
37
38
39
40 public class DoubleMatrixMethodTest
41 {
42
43
44
45
46
47
48 @Test
49 @SuppressWarnings("checkstyle:methodlength")
50 public void testMatrixMethods() throws ValueRuntimeException, UnitException
51 {
52 double[][] denseTestData = DOUBLEMATRIX.denseRectArrays(10, 20, false);
53 double[][] sparseTestData = DOUBLEMATRIX.sparseRectArrays(10, 20, false);
54 double[][] reverseSparseTestData = new double[sparseTestData.length][];
55
56 for (int index = 0; index < sparseTestData.length; index++)
57 {
58 reverseSparseTestData[reverseSparseTestData.length - 1 - index] = sparseTestData[index];
59 }
60
61 for (int row = 1; row < 8; row++)
62 {
63 for (int col = 2; col < 18; col++)
64 {
65 sparseTestData[row][col] = 10000.456 + row + 100 * col;
66 reverseSparseTestData[row][col] = 20000.567 + row + 100 * col;
67 }
68 }
69
70 for (StorageType storageType : new StorageType[] {StorageType.DENSE, StorageType.SPARSE})
71 {
72 for (AreaUnit au : new AreaUnit[] {AreaUnit.SQUARE_METER, AreaUnit.ACRE})
73 {
74 double[][] testData = storageType.equals(StorageType.DENSE) ? denseTestData : sparseTestData;
75 AreaMatrix am = new AreaMatrix(testData, au, storageType);
76
77
78 for (int row : new int[] {-1, 0, denseTestData.length - 1, denseTestData.length})
79 {
80 for (int col : new int[] {-1, 0, denseTestData[0].length - 1, denseTestData[0].length})
81 {
82 if (row < 0 || col < 0 || row >= denseTestData.length || col >= denseTestData[0].length)
83 {
84 try
85 {
86 am.get(row, col);
87 fail("bad row or bad column value should have thrown a ValueRuntimeException");
88 }
89 catch (ValueRuntimeException vre)
90 {
91
92 }
93 }
94 else
95 {
96 am.get(row, col);
97 }
98 }
99 if (row < 0 || row >= denseTestData.length)
100 {
101 try
102 {
103 am.getRow(row);
104 fail("getRow with bad row value should have thrown a ValueRuntimeException");
105 }
106 catch (ValueRuntimeException vre)
107 {
108
109 }
110 }
111 }
112 for (int col : new int[] {-1, 0, denseTestData[0].length - 1, denseTestData[0].length})
113 {
114 if (col < 0 || col >= denseTestData[0].length)
115 {
116 try
117 {
118 am.getColumn(col);
119 fail("getColumn with bad column value should have thrown a ValueRuntimeException");
120 }
121 catch (ValueRuntimeException vre)
122 {
123
124 }
125 }
126 else
127 {
128 am.getColumn(col);
129 }
130 }
131
132
133 assertEquals(am, am.toSparse());
134 assertEquals(am, am.toDense());
135 assertEquals(am, am.toSparse().toDense());
136 assertEquals(am, am.toDense().toSparse());
137 assertEquals(am.hashCode(), am.toSparse().hashCode());
138 assertEquals(am.hashCode(), am.toDense().hashCode());
139 assertTrue(am.toDense().isDense());
140 assertFalse(am.toDense().isSparse());
141 assertTrue(am.toSparse().isSparse());
142 assertFalse(am.toSparse().isDense());
143
144
145 assertEquals(am, am);
146 assertNotEquals(am, new Object());
147 assertNotEquals(am, null);
148 assertNotEquals(am, new LengthMatrix(testData, LengthUnit.METER, storageType));
149 assertNotEquals(am, am.divide(2.0d));
150
151
152 assertFalse(am.isMutable());
153 AreaMatrix ammut = am.mutable();
154 assertTrue(ammut.isMutable());
155 assertFalse(am.isMutable());
156 AreaMatrix ammut2 = ammut.multiplyBy(1.0);
157 assertEquals(am, ammut2);
158 assertTrue(ammut.isMutable());
159 assertFalse(am.isMutable());
160 assertTrue(ammut2.isMutable());
161 ammut2 = ammut2.mutable().divideBy(2.0);
162 assertEquals(am, ammut);
163 assertNotEquals(am, ammut2);
164 AreaMatrix ammut3 = ammut2.mutable().divideBy(0.0);
165 for (int row = 0; row < ammut3.rows(); row++)
166 {
167 for (int col = 0; col < ammut3.cols(); col++)
168 {
169 if (ammut2.getSI(row, col) == 0)
170 {
171 assertTrue(Double.isNaN(ammut3.getSI(row, col)), "Value should be NaN");
172
173 }
174 else
175 {
176 assertTrue(Double.isInfinite(ammut3.getSI(row, col)), "Value should be Infinite");
177 }
178 }
179 }
180
181
182 Area zSum = am.zSum();
183 double sum = 0;
184 int card = 0;
185 for (int row = 0; row < testData.length; row++)
186 {
187 for (int col = 0; col < testData[0].length; col++)
188 {
189 sum += testData[row][col];
190 card += testData[row][col] == 0.0d ? 0 : 1;
191 }
192 }
193 assertEquals(sum, zSum.getInUnit(), 0.1, "zSum");
194 assertEquals(card, am.cardinality(), "cardinality");
195 AreaMatrix ammutZero = ammut.multiplyBy(0.0);
196 assertEquals(0, ammutZero.cardinality(), "cardinality should be 0");
197 assertEquals(0.0, ammutZero.zSum().getSI(), 0, "zSum should be 0");
198
199
200 AreaMatrix amold = am.clone();
201 Area fa = Area.of(10.0d, "m^2");
202 AreaMatrix aminc = am.mutable().incrementBy(fa).immutable();
203 AreaMatrix amdec = am.mutable().decrementBy(fa).immutable();
204 AreaMatrix amid = aminc.mutable().decrementBy(fa);
205 assertEquals(am, amold, "immutable matrix should not change when converted to mutable");
206 for (int row = 0; row < testData.length; row++)
207 {
208 for (int col = 0; col < testData[0].length; col++)
209 {
210 assertEquals(am.getSI(row, col), amid.getSI(row, col), 0.1,
211 "increment and decrement with scalar should result in same matrix");
212 assertEquals(au.getScale().toStandardUnit(testData[row][col]) + 10.0, aminc.getSI(row, col), 0.1,
213 "m + s = (m+s)");
214 assertEquals(au.getScale().toStandardUnit(testData[row][col]) - 10.0, amdec.getSI(row, col), 0.1,
215 "m - s = (m-s)");
216 }
217 }
218
219
220 AreaMatrix amt5 = am.mutable().multiplyBy(5.0d).immutable();
221 AreaMatrix amd5 = am.mutable().divideBy(5.0d).immutable();
222 AreaMatrix amtd = amt5.mutable().divideBy(5.0d);
223 AreaMatrix amtimD = am.times(5.0d);
224 AreaMatrix amtimF = am.times(5.0f);
225 AreaMatrix amdivD = am.divide(5.0d);
226 AreaMatrix amdivF = am.divide(5.0f);
227 for (int row = 0; row < testData.length; row++)
228 {
229 for (int col = 0; col < testData[0].length; col++)
230 {
231 assertEquals(am.getSI(row, col), amtd.getSI(row, col), 0.1,
232 "times followed by divide with constant should result in same matrix");
233 assertEquals(au.getScale().toStandardUnit(testData[row][col]) * 5.0d, amt5.getSI(row, col), 0.1,
234 "m * 5.0 = (m*5.0)");
235 assertEquals(au.getScale().toStandardUnit(testData[row][col]) / 5.0d, amd5.getSI(row, col), 0.1,
236 "m / 5.0 = (m/5.0)");
237 assertEquals(amt5.getSI(row, col), amtimD.getSI(row, col), 0.1d, "amtimD");
238 assertEquals(amt5.getSI(row, col), amtimF.getSI(row, col), 0.1d, "amtimF");
239 assertEquals(amd5.getSI(row, col), amdivD.getSI(row, col), 0.01d, "amdivD");
240 assertEquals(amd5.getSI(row, col), amdivF.getSI(row, col), 0.01d, "amdivD");
241 }
242 }
243
244
245 assertEquals(new Area(testData[2][2], au), am.get(2, 2), "get()");
246 assertEquals(au.getScale().toStandardUnit(testData[2][2]), am.getSI(2, 2), 0.1, "getSI()");
247 assertEquals(testData[2][2], am.getInUnit(2, 2), 0.1, "getInUnit()");
248 assertEquals(AreaUnit.SQUARE_YARD.getScale().fromStandardUnit(au.getScale().toStandardUnit(testData[2][2])),
249 am.getInUnit(2, 2, AreaUnit.SQUARE_YARD), 0.1, "getInUnit(unit)");
250
251
252 Area fasqft = new Area(10.5d, AreaUnit.SQUARE_FOOT);
253 AreaMatrix famChange = am.clone().mutable();
254 famChange.set(2, 2, fasqft);
255 assertEquals(fasqft.si, famChange.get(2, 2).si, 0.1d, "set()");
256 famChange = am.clone().mutable();
257 famChange.setSI(2, 2, 123.4d);
258 assertEquals(123.4d, famChange.get(2, 2).si, 0.1d, "setSI()");
259 famChange = am.clone().mutable();
260 famChange.setInUnit(2, 2, 1.2d);
261 assertEquals(1.2d, famChange.getInUnit(2, 2), 0.1d, "setInUnit()");
262 famChange = am.clone().mutable();
263 famChange.setInUnit(2, 2, 1.5d, AreaUnit.HECTARE);
264 assertEquals(15000.0d, famChange.get(2, 2).si, 1.0d, "setInUnit(unit)");
265
266
267 double[][] squareData = storageType.equals(StorageType.DENSE) ? DOUBLEMATRIX.denseRectArrays(12, 12, false)
268 : DOUBLEMATRIX.sparseRectArrays(12, 12, false);
269 AreaMatrix amSquare = new AreaMatrix(squareData, au, storageType);
270 double[] row2si = am.getRowSI(2);
271 double[] col2si = am.getColumnSI(2);
272 double[] diagsi = amSquare.getDiagonalSI();
273 AreaVector row2v = am.getRow(2);
274 AreaVector col2v = am.getColumn(2);
275 AreaVector diagv = amSquare.getDiagonal();
276 Area[] row2scalar = am.getRowScalars(2);
277 Area[] col2scalar = am.getColumnScalars(2);
278 Area[] diagscalar = amSquare.getDiagonalScalars();
279 for (int col = 0; col < testData[0].length; col++)
280 {
281 assertEquals(au.getScale().toStandardUnit(testData[2][col]), row2si[col], 0.1d, "row2si");
282 assertEquals(au.getScale().toStandardUnit(testData[2][col]), row2v.getSI(col), 0.1d, "row2v");
283 assertEquals(au.getScale().toStandardUnit(testData[2][col]), row2scalar[col].si, 0.1d, "row2scalar");
284 }
285 for (int row = 0; row < testData.length; row++)
286 {
287 assertEquals(au.getScale().toStandardUnit(testData[row][2]), col2si[row], 0.1d, "col2si");
288 assertEquals(au.getScale().toStandardUnit(testData[row][2]), col2v.getSI(row), 0.1d, "col2v");
289 assertEquals(au.getScale().toStandardUnit(testData[row][2]), col2scalar[row].si, 0.1d, "col2scalar");
290 }
291 for (int diag = 0; diag < amSquare.rows(); diag++)
292 {
293 assertEquals(au.getScale().toStandardUnit(squareData[diag][diag]), diagsi[diag], 0.1d, "diag2si");
294 assertEquals(au.getScale().toStandardUnit(squareData[diag][diag]), diagv.getSI(diag), 0.1d, "diag2v");
295 assertEquals(au.getScale().toStandardUnit(squareData[diag][diag]), diagscalar[diag].si, 0.1d,
296 "diag2scalar");
297 }
298
299
300 double[][] valsi = am.getValuesSI();
301 double[][] valunit = am.getValuesInUnit();
302 double[][] valsqft = am.getValuesInUnit(AreaUnit.SQUARE_YARD);
303 Area[][] valscalars = am.getScalars();
304 for (int row = 0; row < testData.length; row++)
305 {
306 for (int col = 0; col < testData[0].length; col++)
307 {
308 assertEquals(au.getScale().toStandardUnit(testData[row][col]), valsi[row][col], 0.1, "getValuesSI()");
309 assertEquals(testData[row][col], valunit[row][col], 0.1, "getValuesInUnit()");
310 assertEquals(
311 AreaUnit.SQUARE_YARD.getScale()
312 .fromStandardUnit(au.getScale().toStandardUnit(testData[row][col])),
313 valsqft[row][col], 0.1, "getValuesInUnit(unit)");
314 assertEquals(au.getScale().toStandardUnit(testData[row][col]), valscalars[row][col].si, 0.1,
315 "getValuesInUnit(unit)");
316 }
317 }
318
319
320 AreaMatrix amdiv2 = am.divide(2.0d);
321 assertEquals(am.getStorageType(), amdiv2.getStorageType());
322 assertEquals(am.getDisplayUnit(), amdiv2.getDisplayUnit());
323 AreaMatrix amAbs = amdiv2.mutable().abs().immutable();
324 assertEquals(am.getStorageType(), amAbs.getStorageType());
325 assertEquals(am.getDisplayUnit(), amAbs.getDisplayUnit());
326 AreaMatrix amCeil = amdiv2.mutable().ceil().immutable();
327 assertEquals(am.getStorageType(), amCeil.getStorageType());
328 assertEquals(am.getDisplayUnit(), amCeil.getDisplayUnit());
329 AreaMatrix amFloor = amdiv2.mutable().floor().immutable();
330 assertEquals(am.getStorageType(), amFloor.getStorageType());
331 assertEquals(am.getDisplayUnit(), amFloor.getDisplayUnit());
332 AreaMatrix amNeg = amdiv2.mutable().neg().immutable();
333 assertEquals(am.getStorageType(), amNeg.getStorageType());
334 assertEquals(am.getDisplayUnit(), amNeg.getDisplayUnit());
335 AreaMatrix amRint = amdiv2.mutable().rint().immutable();
336 assertEquals(am.getStorageType(), amRint.getStorageType());
337 assertEquals(am.getDisplayUnit(), amRint.getDisplayUnit());
338 for (int row = 0; row < testData.length; row++)
339 {
340 for (int col = 0; col < testData[0].length; col++)
341 {
342
343 assertEquals(au.getScale().toStandardUnit(testData[row][col]) / 2.0d, amdiv2.getSI(row, col), 0.1d,
344 "div2");
345 assertEquals(Math.abs(au.getScale().toStandardUnit(testData[row][col]) / 2.0d), amAbs.getSI(row, col),
346 0.1d, "abs");
347 assertEquals(Math.ceil(au.getScale().toStandardUnit(testData[row][col]) / 2.0d), amCeil.getSI(row, col),
348 0.1d, "ceil");
349 assertEquals(Math.floor(au.getScale().toStandardUnit(testData[row][col]) / 2.0d),
350 amFloor.getSI(row, col), 0.1d, "floor");
351 assertEquals(-au.getScale().toStandardUnit(testData[row][col]) / 2.0d, amNeg.getSI(row, col), 0.1d,
352 "neg");
353 assertEquals(Math.rint(au.getScale().toStandardUnit(testData[row][col]) / 2.0d), amRint.getSI(row, col),
354 0.1d, "rint");
355 }
356 }
357
358 double[][] testData4x4 = new double[][] {{2, 3, 5, 7}, {11, 13, 17, 19}, {23, 29, 31, 37}, {41, 43, 47, 49}};
359 AreaMatrix am4x4 = new AreaMatrix(testData4x4, au, storageType);
360 double det = am4x4.determinantSI();
361 double detCalc = Determinant.det(am4x4.getValuesSI());
362 double err = Math.max(det, detCalc) / 10000.0;
363 assertEquals(detCalc, det, err, "Determinant of square matrix with unit " + au.getDefaultTextualAbbreviation()
364 + ", storage = " + storageType + " = " + det + " but should have been " + detCalc);
365 Try.testFail(() -> am.determinantSI(), "Determinant of non-square matrix should have thrown exception");
366
367
368
369 for (StorageType storageType2 : new StorageType[] {StorageType.DENSE, StorageType.SPARSE})
370 {
371 double[][] testData2 = storageType2.equals(StorageType.DENSE) ? denseTestData : reverseSparseTestData;
372 for (AreaUnit au2 : new AreaUnit[] {AreaUnit.SQUARE_METER, AreaUnit.ACRE})
373 {
374
375
376 AreaMatrix am2 = new AreaMatrix(testData2, au2, storageType2);
377 AreaMatrix amSum1 = am.plus(am2);
378 AreaMatrix amSum2 = am2.plus(am);
379 AreaMatrix amSum3 = am.mutable().incrementBy(am2).immutable();
380 AreaMatrix amSum4 = am2.mutable().incrementBy(am).immutable();
381 assertEquals(amSum1, amSum2, "a+b == b+a");
382 assertEquals(amSum1, amSum3, "a+b == b+a");
383 assertEquals(amSum1, amSum4, "a+b == b+a");
384 for (int row = 0; row < testData.length; row++)
385 {
386 for (int col = 0; col < testData[0].length; col++)
387 {
388 double tolerance = Double.isFinite(amSum1.getSI(row, col))
389 ? Math.abs(amSum1.getSI(row, col) / 10000.0d) : 0.1d;
390 assertEquals(
391 au.getScale().toStandardUnit(testData[row][col])
392 + au2.getScale().toStandardUnit(testData2[row][col]),
393 amSum1.getSI(row, col), tolerance, "value in matrix matches");
394 }
395 }
396
397
398 AreaMatrix amDiff1 = am.minus(am2);
399 AreaMatrix amDiff2 = am2.minus(am).mutable().neg();
400 AreaMatrix amDiff3 = am.mutable().decrementBy(am2).immutable();
401 assertEquals(amDiff1, amDiff2, "a-b == -(b-a)");
402 assertEquals(amDiff1, amDiff3, "a-b == -(b-a)");
403 for (int row = 0; row < testData.length; row++)
404 {
405 for (int col = 0; col < testData[0].length; col++)
406 {
407 double tolerance = Double.isFinite(amDiff1.getSI(row, col))
408 ? Math.abs(amDiff1.getSI(row, col) / 10000.0d) : 0.1d;
409 assertEquals(
410 au.getScale().toStandardUnit(testData[row][col])
411 - au2.getScale().toStandardUnit(testData2[row][col]),
412 amDiff1.getSI(row, col), tolerance, "value in matrix matches");
413 }
414 }
415
416
417 SIMatrix amTim = am.times(am2);
418 SIMatrix amDiv = am.divide(am2);
419 assertEquals("m4", amTim.getDisplayUnit().getQuantity().getSiDimensions().toString(false, false, false),
420 "unit of m2 * m2 should be m4");
421 assertEquals("", amDiv.getDisplayUnit().getQuantity().getSiDimensions().toString(false, false, false),
422 "unit of m2 / m2 should be empty string");
423 for (int row = 0; row < testData.length; row++)
424 {
425 for (int col = 0; col < testData[0].length; col++)
426 {
427 double tolerance = Double.isFinite(amTim.getSI(row, col))
428 ? Math.abs(amTim.getSI(row, col) / 10000.0d) : 0.1d;
429 if (Math.abs(au.getScale().toStandardUnit(testData[row][col])
430 * au2.getScale().toStandardUnit(testData2[row][col])
431 - amTim.getSI(row, col)) > tolerance)
432 {
433
434
435
436
437 am.times(am2);
438 }
439 assertEquals(
440 au.getScale().toStandardUnit(testData[row][col])
441 * au2.getScale().toStandardUnit(testData2[row][col]),
442 amTim.getSI(row, col), tolerance, "value in m2 * m2 matches");
443 tolerance = Double.isFinite(amDiv.getSI(row, col)) ? Math.abs(amDiv.getSI(row, col) / 10000.0d)
444 : 0.1d;
445 assertEquals(
446 au.getScale().toStandardUnit(testData[row][col])
447 / au2.getScale().toStandardUnit(testData2[row][col]),
448 amDiv.getSI(row, col), tolerance, "value in m2 / m2 matches (could be NaN)");
449 }
450 }
451 }
452 }
453 }
454 }
455 }
456
457
458
459
460 @Test
461 public void testImmutableMatrix()
462 {
463 double[][] denseTestData = DOUBLEMATRIX.denseRectArrays(5, 10, false);
464 double[][] sparseTestData = DOUBLEMATRIX.sparseRectArrays(5, 10, false);
465
466 for (StorageType storageType : new StorageType[] {StorageType.DENSE, StorageType.SPARSE})
467 {
468 for (AreaUnit au : new AreaUnit[] {AreaUnit.SQUARE_METER, AreaUnit.ACRE})
469 {
470 double[][] testData = storageType.equals(StorageType.DENSE) ? denseTestData : sparseTestData;
471 AreaMatrix am = new AreaMatrix(testData, au, storageType);
472 am = am.immutable();
473 final AreaMatrix amPtr = am;
474 Area fa = Area.of(10.0d, "m^2");
475 Try.testFail(() -> amPtr.assign(DoubleMathFunctions.ABS), "ImmutableMatrix.assign(...) should throw error");
476 Try.testFail(() -> amPtr.decrementBy(fa), "ImmutableMatrix.decrementBy(scalar) should throw error");
477 Try.testFail(() -> amPtr.decrementBy(amPtr), "ImmutableMatrix.decrementBy(matrix) should throw error");
478 Try.testFail(() -> amPtr.incrementBy(fa), "ImmutableMatrix.incrementBy(scalar) should throw error");
479 Try.testFail(() -> amPtr.incrementBy(amPtr), "ImmutableMatrix.incrementBy(matrix) should throw error");
480 Try.testFail(() -> amPtr.divideBy(2.0d), "ImmutableMatrix.divideBy(factor) should throw error");
481 Try.testFail(() -> amPtr.multiplyBy(2.0d), "ImmutableMatrix.multiplyBy(factor) should throw error");
482 Try.testFail(() -> amPtr.set(1, 1, fa), "ImmutableMatrix.set() should throw error");
483 Try.testFail(() -> amPtr.setSI(1, 1, 20.1d), "ImmutableMatrix.setSI() should throw error");
484 Try.testFail(() -> amPtr.setInUnit(1, 1, 15.2d), "ImmutableMatrix.setInUnit(f) should throw error");
485 Try.testFail(() -> amPtr.setInUnit(1, 1, 15.2d, AreaUnit.ARE),
486 "ImmutableMatrix.setInUnit(f, u) should throw error");
487 Try.testFail(() -> amPtr.abs(), "ImmutableMatrix.abs() should throw error");
488 Try.testFail(() -> amPtr.ceil(), "ImmutableMatrix.ceil() should throw error");
489 Try.testFail(() -> amPtr.floor(), "ImmutableMatrix.floor() should throw error");
490 Try.testFail(() -> amPtr.neg(), "ImmutableMatrix.neg() should throw error");
491 Try.testFail(() -> amPtr.rint(), "ImmutableMatrix.rint() should throw error");
492 }
493 }
494 }
495
496
497
498
499 @Test
500 public void testMatrixToString()
501 {
502 double[][] denseTestData = DOUBLEMATRIX.denseRectArrays(5, 10, false);
503 double[][] sparseTestData = DOUBLEMATRIX.sparseRectArrays(5, 10, false);
504
505 for (StorageType storageType : new StorageType[] {StorageType.DENSE, StorageType.SPARSE})
506 {
507 for (AreaUnit au : new AreaUnit[] {AreaUnit.SQUARE_METER, AreaUnit.ACRE})
508 {
509 double[][] testData = storageType.equals(StorageType.DENSE) ? denseTestData : sparseTestData;
510 AreaMatrix am = new AreaMatrix(testData, au, storageType);
511 String s1 = am.toString();
512 assertTrue(s1.contains(au.getDefaultTextualAbbreviation()));
513 String s2 = am.toString(AreaUnit.SQUARE_INCH);
514 assertTrue(s2.contains(AreaUnit.SQUARE_INCH.getDefaultTextualAbbreviation()));
515 String s3 = am.toString(AreaUnit.SQUARE_INCH, true, true);
516 assertTrue(s3.contains(AreaUnit.SQUARE_INCH.getDefaultTextualAbbreviation()));
517 if (storageType.equals(StorageType.DENSE))
518 {
519 assertTrue(s3.contains("Dense"));
520 assertFalse(s3.contains("Sparse"));
521 }
522 else
523 {
524 assertFalse(s3.contains("Dense"));
525 assertTrue(s3.contains("Sparse"));
526 }
527 assertTrue(s3.contains("Rel"));
528 assertFalse(s3.contains("Abs"));
529 assertTrue(s3.contains("Immutable"));
530 assertFalse(s3.contains("Mutable"));
531 AreaMatrix ammut = am.mutable();
532 String smut = ammut.toString(AreaUnit.SQUARE_INCH, true, true);
533 assertFalse(smut.contains("Immutable"));
534 assertTrue(smut.contains("Mutable"));
535 String sNotVerbose = ammut.toString(false, false);
536 assertFalse(sNotVerbose.contains("Rel"));
537 assertFalse(sNotVerbose.contains("Abs"));
538 assertFalse(sNotVerbose.contains("Immutable"));
539 assertFalse(sNotVerbose.contains("Mutable"));
540 assertFalse(sNotVerbose.contains(au.getDefaultTextualAbbreviation()));
541 }
542 }
543 TimeMatrix tm = new TimeMatrix(denseTestData, TimeUnit.DEFAULT, StorageType.DENSE);
544 String st = tm.toString(TimeUnit.DEFAULT, true, true);
545 assertFalse(st.contains("Rel"));
546 assertTrue(st.contains("Abs"));
547 LengthMatrix lm = new LengthMatrix(denseTestData, LengthUnit.SI, StorageType.DENSE);
548 String sl = lm.toString(LengthUnit.SI, true, true);
549 assertTrue(sl.contains("Rel"));
550 assertFalse(sl.contains("Abs"));
551 }
552
553
554
555
556 @Test
557 public void testSpecialMatrixMethodsRelWithAbs()
558 {
559 double[][] denseTestData = DOUBLEMATRIX.denseRectArrays(5, 10, false);
560 TimeMatrix tm = new TimeMatrix(denseTestData, TimeUnit.DEFAULT, StorageType.DENSE);
561 DurationMatrix dm = new DurationMatrix(denseTestData, DurationUnit.MINUTE, StorageType.DENSE);
562 assertTrue(tm.isAbsolute());
563 assertFalse(dm.isAbsolute());
564 assertFalse(tm.isRelative());
565 assertTrue(dm.isRelative());
566
567 TimeMatrix absPlusRel = tm.plus(dm);
568 TimeMatrix absMinusRel = tm.minus(dm);
569 double[][] halfDenseData = DOUBLEMATRIX.denseRectArrays(5, 10, false);
570 for (int row = 0; row < halfDenseData.length; row++)
571 {
572 for (int col = 0; col < halfDenseData[row].length; col++)
573 {
574 halfDenseData[row][col] *= 0.5;
575 }
576 }
577 TimeMatrix halfTimeMatrix = new TimeMatrix(halfDenseData, TimeUnit.DEFAULT, StorageType.DENSE);
578 DurationMatrix absMinusAbs = tm.minus(halfTimeMatrix);
579 TimeMatrix absDecByRelS = tm.mutable().decrementBy(Duration.of(1.0d, "min"));
580 TimeMatrix absDecByRelM = tm.mutable().decrementBy(dm.divide(2.0d));
581 TimeMatrix relPlusAbs = dm.plus(tm);
582 for (int row = 0; row < denseTestData.length; row++)
583 {
584 for (int col = 0; col < denseTestData[0].length; col++)
585 {
586 assertEquals(61.0 * denseTestData[row][col], absPlusRel.getSI(row, col), 0.01, "absPlusRel");
587 assertEquals(-59.0 * denseTestData[row][col], absMinusRel.getSI(row, col), 0.01, "absMinusRel");
588 assertEquals(denseTestData[row][col] / 2.0, absMinusAbs.getSI(row, col), 0.01, "absMinusAbs");
589 assertEquals(denseTestData[row][col] - 60.0, absDecByRelS.getSI(row, col), 0.01, "absDecByRelS");
590 assertEquals(-29.0 * denseTestData[row][col], absDecByRelM.getSI(row, col), 0.01, "absDecByRelM");
591 assertEquals(61.0 * denseTestData[row][col], relPlusAbs.getSI(row, col), 0.01, "relPlusAbs");
592 }
593 }
594 for (int dRows : new int[] {-1, 0, 1})
595 {
596 for (int dCols : new int[] {-1, 0, 1})
597 {
598 if (dRows == 0 && dCols == 0)
599 {
600 continue;
601 }
602 double[][] other =
603 DOUBLEMATRIX.denseRectArrays(denseTestData.length + dRows, denseTestData[0].length + dCols, false);
604 TimeMatrix wrongTimeMatrix = new TimeMatrix(other, TimeUnit.DEFAULT, StorageType.DENSE);
605 try
606 {
607 tm.mutable().minus(wrongTimeMatrix);
608 fail("Mismatching size should have thrown a ValueRuntimeException");
609 }
610 catch (ValueRuntimeException vre)
611 {
612
613 }
614 }
615 }
616 assertTrue(DoubleMatrixData.instantiate(denseTestData, TimeUnit.DEFAULT.getScale(), StorageType.DENSE).toString()
617 .startsWith("DoubleMatrixData"), "toString returns something informative");
618 }
619
620
621
622
623
624 @Test
625 public void memoryTest()
626 {
627 FloatAreaMatrix am = new FloatAreaMatrix(new float[5][10], AreaUnit.SI, StorageType.SPARSE);
628 am = am.mutable();
629 float nonZeroValue = 123.456f;
630
631 for (int compoundIndex = 0; compoundIndex < am.cols() * am.rows(); compoundIndex++)
632 {
633
634 int row = compoundIndex % am.rows();
635 int col = compoundIndex / am.rows();
636 assertEquals(0f, am.getSI(row, col), 0.0001, "initial value is 0");
637 am.setSI(row, col, nonZeroValue);
638 assertEquals(nonZeroValue, am.getSI(row, col), 0.0001, "current value is nonZero");
639 }
640 for (int compoundIndex = am.cols() * am.rows(); --compoundIndex >= 0;)
641 {
642
643 int row = compoundIndex % am.rows();
644 int col = compoundIndex / am.rows();
645 assertEquals(nonZeroValue, am.getSI(row, col), 0.0001, "current value is nonZero");
646 am.setSI(row, col, 0f);
647 assertEquals(0f, am.getSI(row, col), 0.0001, "final value is 0");
648 }
649 }
650
651
652
653
654 @Test
655 public void testInstantiateAbs()
656 {
657 double[][] denseTestData = DOUBLEMATRIX.denseRectArrays(10, 20, false);
658 TimeMatrix timeMatrix = new TimeMatrix(denseTestData, TimeUnit.DEFAULT, StorageType.DENSE);
659 DurationMatrix durationMatrix = new DurationMatrix(denseTestData, DurationUnit.MINUTE, StorageType.DENSE);
660
661 float[] halfDenseData = FLOATVECTOR.denseArray(105);
662 for (int index = 0; index < halfDenseData.length; index++)
663 {
664 halfDenseData[index] *= 0.5;
665 }
666 TimeMatrix relPlusAbsTime = durationMatrix.plus(timeMatrix);
667 for (int row = 0; row < denseTestData.length; row++)
668 {
669 for (int col = 0; col < denseTestData[0].length; col++)
670 {
671 assertEquals(61.0 * denseTestData[row][col], relPlusAbsTime.getSI(row, col), 0.01, "relPlusAbsTime");
672 }
673 }
674 Time time = durationMatrix.instantiateScalarAbsSI(123.456f, TimeUnit.EPOCH_DAY);
675 assertEquals(TimeUnit.EPOCH_DAY, time.getDisplayUnit(), "Unit of instantiateScalarAbsSI matches");
676 assertEquals(123.456f, time.si, 0.1, "Value of instantiateScalarAbsSI matches");
677
678 AngleMatrix angleMatrix = new AngleMatrix(denseTestData, AngleUnit.DEGREE, StorageType.DENSE);
679 DirectionMatrix directionMatrix = new DirectionMatrix(denseTestData, DirectionUnit.EAST_DEGREE, StorageType.DENSE);
680
681 DirectionMatrix relPlusAbsDirection = angleMatrix.plus(directionMatrix);
682 for (int row = 0; row < denseTestData.length; row++)
683 {
684 for (int col = 0; col < denseTestData[0].length; col++)
685 {
686 assertEquals(2.0 / 180 * Math.PI * denseTestData[row][col], relPlusAbsDirection.getSI(row, col), 0.01,
687 "relPlusAbsTime");
688 }
689 }
690 Direction direction = angleMatrix.instantiateScalarAbsSI(123.456f, DirectionUnit.NORTH_RADIAN);
691 assertEquals(DirectionUnit.NORTH_RADIAN, direction.getDisplayUnit(), "Unit of instantiateScalarAbsSI matches");
692 assertEquals(123.456f, direction.si, 0.1, "Value of instantiateScalarAbsSI matches");
693
694 TemperatureMatrix temperatureMatrix =
695 new TemperatureMatrix(denseTestData, TemperatureUnit.DEGREE_FAHRENHEIT, StorageType.DENSE);
696 AbsoluteTemperatureMatrix absoluteTemperatureMatrix =
697 new AbsoluteTemperatureMatrix(denseTestData, AbsoluteTemperatureUnit.KELVIN, StorageType.DENSE);
698
699 AbsoluteTemperatureMatrix relPlusAbsTemperature = temperatureMatrix.plus(absoluteTemperatureMatrix);
700 for (int row = 0; row < denseTestData.length; row++)
701 {
702 for (int col = 0; col < denseTestData[0].length; col++)
703 {
704 assertEquals((1.0 + 5.0 / 9.0) * denseTestData[row][col], relPlusAbsTemperature.getSI(row, col), 0.01,
705 "relPlusAbsTime");
706 }
707 }
708 AbsoluteTemperature absoluteTemperature =
709 temperatureMatrix.instantiateScalarAbsSI(123.456f, AbsoluteTemperatureUnit.DEGREE_FAHRENHEIT);
710 assertEquals(AbsoluteTemperatureUnit.DEGREE_FAHRENHEIT, absoluteTemperature.getDisplayUnit(),
711 "Unit of instantiateScalarAbsSI matches");
712 assertEquals(123.456f, absoluteTemperature.si, 0.1, "Value of instantiateScalarAbsSI matches");
713
714 LengthMatrix lengthMatrix = new LengthMatrix(denseTestData, LengthUnit.MILE, StorageType.DENSE);
715 PositionMatrix positionMatrix = new PositionMatrix(denseTestData, PositionUnit.KILOMETER, StorageType.DENSE);
716
717 PositionMatrix relPlusAbsPosition = lengthMatrix.plus(positionMatrix);
718 for (int row = 0; row < denseTestData.length; row++)
719 {
720 for (int col = 0; col < denseTestData[0].length; col++)
721 {
722 assertEquals(2609.344 * denseTestData[row][col], relPlusAbsPosition.getSI(row, col), 0.1, "relPlusAbsTime");
723 }
724 }
725 Position position = lengthMatrix.instantiateScalarAbsSI(123.456f, PositionUnit.ANGSTROM);
726 assertEquals(PositionUnit.ANGSTROM, position.getDisplayUnit(), "Unit of instantiateScalarAbsSI matches");
727 assertEquals(123.456f, position.si, 0.01, "Value of instantiateScalarAbsSI matches");
728 }
729
730
731
732
733 @SuppressWarnings("unlikely-arg-type")
734 @Test
735 public void testEquals()
736 {
737 double[][] testData = DOUBLEMATRIX.denseRectArrays(12, 34, false);
738 testData[2][2] = 0;
739 for (StorageType storageType : new StorageType[] {StorageType.DENSE, StorageType.SPARSE})
740 {
741 DoubleMatrixData dmd = DoubleMatrixData.instantiate(testData, TemperatureUnit.KELVIN.getScale(), storageType);
742 assertTrue(dmd.equals(dmd), "Double matrix is equal to itself");
743 assertFalse(dmd.equals(null), "Double matrix is not equal to null");
744 assertFalse(dmd.equals("some string"), "Double matrix data is not equal to some string");
745 assertTrue(dmd.equals(dmd.toSparse()), "Double matrix is equal to sparse version of itself");
746 assertTrue(dmd.equals(dmd.toDense()), "Double matrix is equal to dense version of itself");
747 for (StorageType storageType2 : new StorageType[] {StorageType.DENSE, StorageType.SPARSE})
748 {
749 DoubleMatrixData dvd2 = DoubleMatrixData.instantiate(testData, TemperatureUnit.KELVIN.getScale(), storageType2);
750 assertEquals(dmd, dvd2,
751 "Double matrix data is equal to other double vector containing same values regardless of storage type");
752 double[][] testData2 = DOUBLEMATRIX.denseRectArrays(12, 33, false);
753 testData2[2][2] = 0;
754 dvd2 = DoubleMatrixData.instantiate(testData2, TemperatureUnit.KELVIN.getScale(), storageType2);
755 assertFalse(dmd.equals(dvd2),
756 "Double matrix data is not equal to other double vector containing same values except last one");
757 testData2 = DOUBLEMATRIX.denseRectArrays(13, 34, false);
758 testData2[2][2] = 0;
759 dvd2 = DoubleMatrixData.instantiate(testData2, TemperatureUnit.KELVIN.getScale(), storageType2);
760 assertFalse(dmd.equals(dvd2),
761 "Double matrix data is not equal to other double vector containing same values except last one");
762 testData2 = DOUBLEMATRIX.denseRectArrays(12, 34, false);
763 dvd2 = DoubleMatrixData.instantiate(testData2, TemperatureUnit.KELVIN.getScale(), storageType2);
764 assertFalse(dmd.equals(dvd2),
765 "Double matrix data is not equal to other double vector containing same values except for one zero");
766 }
767 }
768 }
769
770
771
772
773 @SuppressWarnings({"rawtypes", "unchecked"})
774 @Test
775 public void sparseValueTest()
776 {
777 try
778 {
779 new DoubleSparseValue(-1, 0, 123.456);
780 fail("Negative row should have caused a ValueRuntimeException");
781 }
782 catch (ValueRuntimeException vre)
783 {
784
785 }
786
787 try
788 {
789 new DoubleSparseValue(0, -1, 123.456);
790 fail("Negative column should have caused a ValueRuntimeException");
791 }
792 catch (ValueRuntimeException vre)
793 {
794
795 }
796
797 Length length = Length.valueOf("123 km");
798 DoubleSparseValue dsv = new DoubleSparseValue(2, 3, length);
799 assertEquals(2, dsv.getRow(), "row matches");
800 assertEquals(3, dsv.getColumn(), "column matches");
801 assertEquals(123000, dsv.getValueSI(), 0.1, "value matches");
802 dsv = new DoubleSparseValue(2, 3, 123.000, LengthUnit.KILOMETER);
803 assertEquals(2, dsv.getRow(), "row matches");
804 assertEquals(3, dsv.getColumn(), "column matches");
805 assertEquals(123000, dsv.getValueSI(), 0.1, "value matches");
806 }
807
808 }