1 /*
2  * Copyright 2011 Google Inc.
3  *
4  * Use of this source code is governed by a BSD-style license that can be
5  * found in the LICENSE file.
6  */
7 
8 #include "SkMatrix44.h"
9 #include "Test.h"
10 
nearly_equal_double(double a,double b)11 static bool nearly_equal_double(double a, double b) {
12     const double tolerance = 1e-7;
13     double diff = a - b;
14     if (diff < 0)
15         diff = -diff;
16     return diff <= tolerance;
17 }
18 
nearly_equal_mscalar(SkMScalar a,SkMScalar b)19 static bool nearly_equal_mscalar(SkMScalar a, SkMScalar b) {
20     const SkMScalar tolerance = SK_MScalar1 / 200000;
21 
22     return SkTAbs<SkMScalar>(a - b) <= tolerance;
23 }
24 
nearly_equal_scalar(SkScalar a,SkScalar b)25 static bool nearly_equal_scalar(SkScalar a, SkScalar b) {
26     const SkScalar tolerance = SK_Scalar1 / 200000;
27     return SkScalarAbs(a - b) <= tolerance;
28 }
29 
assert16(skiatest::Reporter * reporter,const T data[],T m0,T m1,T m2,T m3,T m4,T m5,T m6,T m7,T m8,T m9,T m10,T m11,T m12,T m13,T m14,T m15)30 template <typename T> void assert16(skiatest::Reporter* reporter, const T data[],
31                                     T m0,  T m1,  T m2,  T m3,
32                                     T m4,  T m5,  T m6,  T m7,
33                                     T m8,  T m9,  T m10, T m11,
34                                     T m12, T m13, T m14, T m15) {
35     REPORTER_ASSERT(reporter, data[0] == m0);
36     REPORTER_ASSERT(reporter, data[1] == m1);
37     REPORTER_ASSERT(reporter, data[2] == m2);
38     REPORTER_ASSERT(reporter, data[3] == m3);
39 
40     REPORTER_ASSERT(reporter, data[4] == m4);
41     REPORTER_ASSERT(reporter, data[5] == m5);
42     REPORTER_ASSERT(reporter, data[6] == m6);
43     REPORTER_ASSERT(reporter, data[7] == m7);
44 
45     REPORTER_ASSERT(reporter, data[8] == m8);
46     REPORTER_ASSERT(reporter, data[9] == m9);
47     REPORTER_ASSERT(reporter, data[10] == m10);
48     REPORTER_ASSERT(reporter, data[11] == m11);
49 
50     REPORTER_ASSERT(reporter, data[12] == m12);
51     REPORTER_ASSERT(reporter, data[13] == m13);
52     REPORTER_ASSERT(reporter, data[14] == m14);
53     REPORTER_ASSERT(reporter, data[15] == m15);
54 }
55 
nearly_equal(const SkMatrix44 & a,const SkMatrix44 & b)56 static bool nearly_equal(const SkMatrix44& a, const SkMatrix44& b) {
57     for (int i = 0; i < 4; ++i) {
58         for (int j = 0; j < 4; ++j) {
59             if (!nearly_equal_mscalar(a.get(i, j), b.get(i, j))) {
60                 SkDebugf("not equal %g %g\n", a.get(i, j), b.get(i, j));
61                 return false;
62             }
63         }
64     }
65     return true;
66 }
67 
is_identity(const SkMatrix44 & m)68 static bool is_identity(const SkMatrix44& m) {
69     SkMatrix44 identity(SkMatrix44::kIdentity_Constructor);
70     return nearly_equal(m, identity);
71 }
72 
73 ///////////////////////////////////////////////////////////////////////////////
bits_isonly(int value,int mask)74 static bool bits_isonly(int value, int mask) {
75     return 0 == (value & ~mask);
76 }
77 
test_constructor(skiatest::Reporter * reporter)78 static void test_constructor(skiatest::Reporter* reporter) {
79     // Allocate a matrix on the heap
80     SkMatrix44* placeholderMatrix = new SkMatrix44(SkMatrix44::kUninitialized_Constructor);
81     SkAutoTDelete<SkMatrix44> deleteMe(placeholderMatrix);
82 
83     for (int row = 0; row < 4; ++row) {
84         for (int col = 0; col < 4; ++col) {
85             placeholderMatrix->setDouble(row, col, row * col);
86         }
87     }
88 
89     // Use placement-new syntax to trigger the constructor on top of the heap
90     // address we already initialized. This allows us to check that the
91     // constructor did avoid initializing the matrix contents.
92     SkMatrix44* testMatrix = new(placeholderMatrix) SkMatrix44(SkMatrix44::kUninitialized_Constructor);
93     REPORTER_ASSERT(reporter, testMatrix == placeholderMatrix);
94     REPORTER_ASSERT(reporter, !testMatrix->isIdentity());
95     for (int row = 0; row < 4; ++row) {
96         for (int col = 0; col < 4; ++col) {
97             REPORTER_ASSERT(reporter, nearly_equal_double(row * col, testMatrix->getDouble(row, col)));
98         }
99     }
100 
101     // Verify that kIdentity_Constructor really does initialize to an identity matrix.
102     testMatrix = 0;
103     testMatrix = new(placeholderMatrix) SkMatrix44(SkMatrix44::kIdentity_Constructor);
104     REPORTER_ASSERT(reporter, testMatrix == placeholderMatrix);
105     REPORTER_ASSERT(reporter, testMatrix->isIdentity());
106     REPORTER_ASSERT(reporter, *testMatrix == SkMatrix44::I());
107 
108     // Verify that that constructing from an SkMatrix initializes everything.
109     SkMatrix44 scaleMatrix(SkMatrix44::kUninitialized_Constructor);
110     scaleMatrix.setScale(3, 4, 5);
111     REPORTER_ASSERT(reporter, scaleMatrix.isScale());
112     testMatrix = new(&scaleMatrix) SkMatrix44(SkMatrix::I());
113     REPORTER_ASSERT(reporter, testMatrix->isIdentity());
114     REPORTER_ASSERT(reporter, *testMatrix == SkMatrix44::I());
115 }
116 
test_translate(skiatest::Reporter * reporter)117 static void test_translate(skiatest::Reporter* reporter) {
118     SkMatrix44 mat(SkMatrix44::kUninitialized_Constructor);
119     SkMatrix44 inverse(SkMatrix44::kUninitialized_Constructor);
120 
121     mat.setTranslate(0, 0, 0);
122     REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kIdentity_Mask));
123     mat.setTranslate(1, 2, 3);
124     REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kTranslate_Mask));
125     REPORTER_ASSERT(reporter, mat.invert(&inverse));
126     REPORTER_ASSERT(reporter, bits_isonly(inverse.getType(), SkMatrix44::kTranslate_Mask));
127 
128     SkMatrix44 a(SkMatrix44::kUninitialized_Constructor);
129     SkMatrix44 b(SkMatrix44::kUninitialized_Constructor);
130     SkMatrix44 c(SkMatrix44::kUninitialized_Constructor);
131     a.set3x3(1, 2, 3, 4, 5, 6, 7, 8, 9);
132     b.setTranslate(10, 11, 12);
133 
134     c.setConcat(a, b);
135     mat = a;
136     mat.preTranslate(10, 11, 12);
137     REPORTER_ASSERT(reporter, mat == c);
138 
139     c.setConcat(b, a);
140     mat = a;
141     mat.postTranslate(10, 11, 12);
142     REPORTER_ASSERT(reporter, mat == c);
143 }
144 
test_scale(skiatest::Reporter * reporter)145 static void test_scale(skiatest::Reporter* reporter) {
146     SkMatrix44 mat(SkMatrix44::kUninitialized_Constructor);
147     SkMatrix44 inverse(SkMatrix44::kUninitialized_Constructor);
148 
149     mat.setScale(1, 1, 1);
150     REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kIdentity_Mask));
151     mat.setScale(1, 2, 3);
152     REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kScale_Mask));
153     REPORTER_ASSERT(reporter, mat.invert(&inverse));
154     REPORTER_ASSERT(reporter, bits_isonly(inverse.getType(), SkMatrix44::kScale_Mask));
155 
156     SkMatrix44 a(SkMatrix44::kUninitialized_Constructor);
157     SkMatrix44 b(SkMatrix44::kUninitialized_Constructor);
158     SkMatrix44 c(SkMatrix44::kUninitialized_Constructor);
159     a.set3x3(1, 2, 3, 4, 5, 6, 7, 8, 9);
160     b.setScale(10, 11, 12);
161 
162     c.setConcat(a, b);
163     mat = a;
164     mat.preScale(10, 11, 12);
165     REPORTER_ASSERT(reporter, mat == c);
166 
167     c.setConcat(b, a);
168     mat = a;
169     mat.postScale(10, 11, 12);
170     REPORTER_ASSERT(reporter, mat == c);
171 }
172 
make_i(SkMatrix44 * mat)173 static void make_i(SkMatrix44* mat) { mat->setIdentity(); }
make_t(SkMatrix44 * mat)174 static void make_t(SkMatrix44* mat) { mat->setTranslate(1, 2, 3); }
make_s(SkMatrix44 * mat)175 static void make_s(SkMatrix44* mat) { mat->setScale(1, 2, 3); }
make_st(SkMatrix44 * mat)176 static void make_st(SkMatrix44* mat) {
177     mat->setScale(1, 2, 3);
178     mat->postTranslate(1, 2, 3);
179 }
make_a(SkMatrix44 * mat)180 static void make_a(SkMatrix44* mat) {
181     mat->setRotateDegreesAbout(1, 2, 3, 45);
182 }
make_p(SkMatrix44 * mat)183 static void make_p(SkMatrix44* mat) {
184     SkMScalar data[] = {
185         1, 2, 3, 4, 5, 6, 7, 8,
186         1, 2, 3, 4, 5, 6, 7, 8,
187     };
188     mat->setRowMajor(data);
189 }
190 
191 typedef void (*Make44Proc)(SkMatrix44*);
192 
193 static const Make44Proc gMakeProcs[] = {
194     make_i, make_t, make_s, make_st, make_a, make_p
195 };
196 
test_map2(skiatest::Reporter * reporter,const SkMatrix44 & mat)197 static void test_map2(skiatest::Reporter* reporter, const SkMatrix44& mat) {
198     SkMScalar src2[] = { 1, 2 };
199     SkMScalar src4[] = { src2[0], src2[1], 0, 1 };
200     SkMScalar dstA[4], dstB[4];
201 
202     for (int i = 0; i < 4; ++i) {
203         dstA[i] = SkDoubleToMScalar(123456789);
204         dstB[i] = SkDoubleToMScalar(987654321);
205     }
206 
207     mat.map2(src2, 1, dstA);
208     mat.mapMScalars(src4, dstB);
209 
210     for (int i = 0; i < 4; ++i) {
211         REPORTER_ASSERT(reporter, dstA[i] == dstB[i]);
212     }
213 }
214 
test_map2(skiatest::Reporter * reporter)215 static void test_map2(skiatest::Reporter* reporter) {
216     SkMatrix44 mat(SkMatrix44::kUninitialized_Constructor);
217 
218     for (size_t i = 0; i < SK_ARRAY_COUNT(gMakeProcs); ++i) {
219         gMakeProcs[i](&mat);
220         test_map2(reporter, mat);
221     }
222 }
223 
test_gettype(skiatest::Reporter * reporter)224 static void test_gettype(skiatest::Reporter* reporter) {
225     SkMatrix44 matrix(SkMatrix44::kIdentity_Constructor);
226 
227     REPORTER_ASSERT(reporter, matrix.isIdentity());
228     REPORTER_ASSERT(reporter, SkMatrix44::kIdentity_Mask == matrix.getType());
229 
230     int expectedMask;
231 
232     matrix.set(1, 1, 0);
233     expectedMask = SkMatrix44::kScale_Mask;
234     REPORTER_ASSERT(reporter, matrix.getType() == expectedMask);
235 
236     matrix.set(0, 3, 1);    // translate-x
237     expectedMask |= SkMatrix44::kTranslate_Mask;
238     REPORTER_ASSERT(reporter, matrix.getType() == expectedMask);
239 
240     matrix.set(2, 0, 1);
241     expectedMask |= SkMatrix44::kAffine_Mask;
242     REPORTER_ASSERT(reporter, matrix.getType() == expectedMask);
243 
244     matrix.set(3, 2, 1);
245     REPORTER_ASSERT(reporter, matrix.getType() & SkMatrix44::kPerspective_Mask);
246 
247     // ensure that negative zero is treated as zero
248     SkMScalar dx = 0;
249     SkMScalar dy = 0;
250     SkMScalar dz = 0;
251     matrix.setTranslate(-dx, -dy, -dz);
252     REPORTER_ASSERT(reporter, matrix.isIdentity());
253     matrix.preTranslate(-dx, -dy, -dz);
254     REPORTER_ASSERT(reporter, matrix.isIdentity());
255     matrix.postTranslate(-dx, -dy, -dz);
256     REPORTER_ASSERT(reporter, matrix.isIdentity());
257 }
258 
test_common_angles(skiatest::Reporter * reporter)259 static void test_common_angles(skiatest::Reporter* reporter) {
260     SkMatrix44 rot(SkMatrix44::kUninitialized_Constructor);
261     // Test precision of rotation in common cases
262     int common_angles[] = { 0, 90, -90, 180, -180, 270, -270, 360, -360 };
263     for (int i = 0; i < 9; ++i) {
264         rot.setRotateDegreesAbout(0, 0, -1, SkIntToScalar(common_angles[i]));
265 
266         SkMatrix rot3x3 = rot;
267         REPORTER_ASSERT(reporter, rot3x3.rectStaysRect());
268     }
269 }
270 
test_concat(skiatest::Reporter * reporter)271 static void test_concat(skiatest::Reporter* reporter) {
272     int i;
273     SkMatrix44 a(SkMatrix44::kUninitialized_Constructor);
274     SkMatrix44 b(SkMatrix44::kUninitialized_Constructor);
275     SkMatrix44 c(SkMatrix44::kUninitialized_Constructor);
276     SkMatrix44 d(SkMatrix44::kUninitialized_Constructor);
277 
278     a.setTranslate(10, 10, 10);
279     b.setScale(2, 2, 2);
280 
281     SkScalar src[8] = {
282         0, 0, 0, 1,
283         1, 1, 1, 1
284     };
285     SkScalar dst[8];
286 
287     c.setConcat(a, b);
288 
289     d = a;
290     d.preConcat(b);
291     REPORTER_ASSERT(reporter, d == c);
292 
293     c.mapScalars(src, dst); c.mapScalars(src + 4, dst + 4);
294     for (i = 0; i < 3; ++i) {
295         REPORTER_ASSERT(reporter, 10 == dst[i]);
296         REPORTER_ASSERT(reporter, 12 == dst[i + 4]);
297     }
298 
299     c.setConcat(b, a);
300 
301     d = a;
302     d.postConcat(b);
303     REPORTER_ASSERT(reporter, d == c);
304 
305     c.mapScalars(src, dst); c.mapScalars(src + 4, dst + 4);
306     for (i = 0; i < 3; ++i) {
307         REPORTER_ASSERT(reporter, 20 == dst[i]);
308         REPORTER_ASSERT(reporter, 22 == dst[i + 4]);
309     }
310 }
311 
test_determinant(skiatest::Reporter * reporter)312 static void test_determinant(skiatest::Reporter* reporter) {
313     SkMatrix44 a(SkMatrix44::kIdentity_Constructor);
314     REPORTER_ASSERT(reporter, nearly_equal_double(1, a.determinant()));
315     a.set(1, 1, 2);
316     REPORTER_ASSERT(reporter, nearly_equal_double(2, a.determinant()));
317     SkMatrix44 b(SkMatrix44::kUninitialized_Constructor);
318     REPORTER_ASSERT(reporter, a.invert(&b));
319     REPORTER_ASSERT(reporter, nearly_equal_double(0.5, b.determinant()));
320     SkMatrix44 c = b = a;
321     c.set(0, 1, 4);
322     b.set(1, 0, 4);
323     REPORTER_ASSERT(reporter,
324                     nearly_equal_double(a.determinant(),
325                                         b.determinant()));
326     SkMatrix44 d = a;
327     d.set(0, 0, 8);
328     REPORTER_ASSERT(reporter, nearly_equal_double(16, d.determinant()));
329 
330     SkMatrix44 e = a;
331     e.postConcat(d);
332     REPORTER_ASSERT(reporter, nearly_equal_double(32, e.determinant()));
333     e.set(0, 0, 0);
334     REPORTER_ASSERT(reporter, nearly_equal_double(0, e.determinant()));
335 }
336 
test_invert(skiatest::Reporter * reporter)337 static void test_invert(skiatest::Reporter* reporter) {
338     SkMatrix44 inverse(SkMatrix44::kUninitialized_Constructor);
339     double inverseData[16];
340 
341     SkMatrix44 identity(SkMatrix44::kIdentity_Constructor);
342     identity.invert(&inverse);
343     inverse.asRowMajord(inverseData);
344     assert16<double>(reporter, inverseData,
345                      1, 0, 0, 0,
346                      0, 1, 0, 0,
347                      0, 0, 1, 0,
348                      0, 0, 0, 1);
349 
350     SkMatrix44 translation(SkMatrix44::kUninitialized_Constructor);
351     translation.setTranslate(2, 3, 4);
352     translation.invert(&inverse);
353     inverse.asRowMajord(inverseData);
354     assert16<double>(reporter, inverseData,
355                      1, 0, 0, -2,
356                      0, 1, 0, -3,
357                      0, 0, 1, -4,
358                      0, 0, 0, 1);
359 
360     SkMatrix44 scale(SkMatrix44::kUninitialized_Constructor);
361     scale.setScale(2, 4, 8);
362     scale.invert(&inverse);
363     inverse.asRowMajord(inverseData);
364     assert16<double>(reporter, inverseData,
365                      0.5, 0,    0,     0,
366                      0,   0.25, 0,     0,
367                      0,   0,    0.125, 0,
368                      0,   0,    0,     1);
369 
370     SkMatrix44 scaleTranslation(SkMatrix44::kUninitialized_Constructor);
371     scaleTranslation.setScale(32, 128, 1024);
372     scaleTranslation.preTranslate(2, 3, 4);
373     scaleTranslation.invert(&inverse);
374     inverse.asRowMajord(inverseData);
375     assert16<double>(reporter, inverseData,
376                      0.03125,  0,          0,            -2,
377                      0,        0.0078125,  0,            -3,
378                      0,        0,          0.0009765625, -4,
379                      0,        0,          0,             1);
380 
381     SkMatrix44 rotation(SkMatrix44::kUninitialized_Constructor);
382     rotation.setRotateDegreesAbout(0, 0, 1, 90);
383     rotation.invert(&inverse);
384     SkMatrix44 expected(SkMatrix44::kUninitialized_Constructor);
385     double expectedInverseRotation[16] =
386             {0,  1, 0, 0,
387              -1, 0, 0, 0,
388              0,  0, 1, 0,
389              0,  0, 0, 1};
390     expected.setRowMajord(expectedInverseRotation);
391     REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
392 
393     SkMatrix44 affine(SkMatrix44::kUninitialized_Constructor);
394     affine.setRotateDegreesAbout(0, 0, 1, 90);
395     affine.preScale(10, 20, 100);
396     affine.preTranslate(2, 3, 4);
397     affine.invert(&inverse);
398     double expectedInverseAffine[16] =
399             {0,    0.1,  0,   -2,
400              -0.05, 0,   0,   -3,
401              0,     0,  0.01, -4,
402              0,     0,   0,   1};
403     expected.setRowMajord(expectedInverseAffine);
404     REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
405 
406     SkMatrix44 perspective(SkMatrix44::kIdentity_Constructor);
407     perspective.setDouble(3, 2, 1.0);
408     perspective.invert(&inverse);
409     double expectedInversePerspective[16] =
410             {1, 0,  0, 0,
411              0, 1,  0, 0,
412              0, 0,  1, 0,
413              0, 0, -1, 1};
414     expected.setRowMajord(expectedInversePerspective);
415     REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
416 
417     SkMatrix44 affineAndPerspective(SkMatrix44::kIdentity_Constructor);
418     affineAndPerspective.setDouble(3, 2, 1.0);
419     affineAndPerspective.preScale(10, 20, 100);
420     affineAndPerspective.preTranslate(2, 3, 4);
421     affineAndPerspective.invert(&inverse);
422     double expectedInverseAffineAndPerspective[16] =
423             {0.1, 0,    2,   -2,
424              0,  0.05,  3,   -3,
425              0,   0,   4.01, -4,
426              0,   0,   -1,    1};
427     expected.setRowMajord(expectedInverseAffineAndPerspective);
428     REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
429 
430     SkMatrix44 tinyScale(SkMatrix44::kIdentity_Constructor);
431     tinyScale.setDouble(0, 0, 1e-39);
432     REPORTER_ASSERT(reporter, tinyScale.getType() == SkMatrix44::kScale_Mask);
433     REPORTER_ASSERT(reporter, !tinyScale.invert(nullptr));
434     REPORTER_ASSERT(reporter, !tinyScale.invert(&inverse));
435 
436     SkMatrix44 tinyScaleTranslate(SkMatrix44::kIdentity_Constructor);
437     tinyScaleTranslate.setDouble(0, 0, 1e-38);
438     REPORTER_ASSERT(reporter, tinyScaleTranslate.invert(nullptr));
439     tinyScaleTranslate.setDouble(0, 3, 10);
440     REPORTER_ASSERT(
441         reporter, tinyScaleTranslate.getType() ==
442                       (SkMatrix44::kScale_Mask | SkMatrix44::kTranslate_Mask));
443     REPORTER_ASSERT(reporter, !tinyScaleTranslate.invert(nullptr));
444     REPORTER_ASSERT(reporter, !tinyScaleTranslate.invert(&inverse));
445 
446     SkMatrix44 tinyScalePerspective(SkMatrix44::kIdentity_Constructor);
447     tinyScalePerspective.setDouble(0, 0, 1e-39);
448     tinyScalePerspective.setDouble(3, 2, -1);
449     REPORTER_ASSERT(reporter, (tinyScalePerspective.getType() &
450                                SkMatrix44::kPerspective_Mask) ==
451                                   SkMatrix44::kPerspective_Mask);
452     REPORTER_ASSERT(reporter, !tinyScalePerspective.invert(nullptr));
453     REPORTER_ASSERT(reporter, !tinyScalePerspective.invert(&inverse));
454 }
455 
test_transpose(skiatest::Reporter * reporter)456 static void test_transpose(skiatest::Reporter* reporter) {
457     SkMatrix44 a(SkMatrix44::kUninitialized_Constructor);
458     SkMatrix44 b(SkMatrix44::kUninitialized_Constructor);
459 
460     int i = 0;
461     for (int row = 0; row < 4; ++row) {
462         for (int col = 0; col < 4; ++col) {
463             a.setDouble(row, col, i);
464             b.setDouble(col, row, i++);
465         }
466     }
467 
468     a.transpose();
469     REPORTER_ASSERT(reporter, nearly_equal(a, b));
470 }
471 
test_get_set_double(skiatest::Reporter * reporter)472 static void test_get_set_double(skiatest::Reporter* reporter) {
473     SkMatrix44 a(SkMatrix44::kUninitialized_Constructor);
474     for (int row = 0; row < 4; ++row) {
475         for (int col = 0; col < 4; ++col) {
476             a.setDouble(row, col, 3.141592653589793);
477             REPORTER_ASSERT(reporter,
478                             nearly_equal_double(3.141592653589793,
479                                                 a.getDouble(row, col)));
480             a.setDouble(row, col, 0);
481             REPORTER_ASSERT(reporter,
482                             nearly_equal_double(0, a.getDouble(row, col)));
483         }
484     }
485 }
486 
test_set_row_col_major(skiatest::Reporter * reporter)487 static void test_set_row_col_major(skiatest::Reporter* reporter) {
488     SkMatrix44 a(SkMatrix44::kUninitialized_Constructor);
489     SkMatrix44 b(SkMatrix44::kUninitialized_Constructor);
490 
491     for (int row = 0; row < 4; ++row) {
492         for (int col = 0; col < 4; ++col) {
493             a.setDouble(row, col, row * 4 + col);
494         }
495     }
496 
497     double bufferd[16];
498     float bufferf[16];
499     a.asColMajord(bufferd);
500     b.setColMajord(bufferd);
501     REPORTER_ASSERT(reporter, nearly_equal(a, b));
502     b.setRowMajord(bufferd);
503     b.transpose();
504     REPORTER_ASSERT(reporter, nearly_equal(a, b));
505     a.asColMajorf(bufferf);
506     b.setColMajorf(bufferf);
507     REPORTER_ASSERT(reporter, nearly_equal(a, b));
508     b.setRowMajorf(bufferf);
509     b.transpose();
510     REPORTER_ASSERT(reporter, nearly_equal(a, b));
511 }
512 
test_3x3_conversion(skiatest::Reporter * reporter)513 static void test_3x3_conversion(skiatest::Reporter* reporter) {
514     SkMScalar values4x4[16] = { 1, 2, 3, 4,
515                                 5, 6, 7, 8,
516                                 9, 10, 11, 12,
517                                 13, 14, 15, 16 };
518     SkScalar values3x3[9] = { 1, 2, 4,
519                               5, 6, 8,
520                               13, 14, 16 };
521     SkMScalar values4x4flattened[16] = { 1, 2, 0, 4,
522                                          5, 6, 0, 8,
523                                          0, 0, 1, 0,
524                                          13, 14, 0, 16 };
525     SkMatrix44 a44(SkMatrix44::kUninitialized_Constructor);
526     a44.setRowMajor(values4x4);
527 
528     SkMatrix a33 = a44;
529     SkMatrix expected33;
530     for (int i = 0; i < 9; i++) expected33[i] = values3x3[i];
531     REPORTER_ASSERT(reporter, expected33 == a33);
532 
533     SkMatrix44 a44flattened = a33;
534     SkMatrix44 expected44flattened(SkMatrix44::kUninitialized_Constructor);
535     expected44flattened.setRowMajor(values4x4flattened);
536     REPORTER_ASSERT(reporter, nearly_equal(a44flattened, expected44flattened));
537 
538     // Test that a point with a Z value of 0 is transformed the same way.
539     SkScalar vec4[4] = { 2, 4, 0, 8 };
540     SkScalar vec3[3] = { 2, 4, 8 };
541 
542     SkScalar vec4transformed[4];
543     SkScalar vec3transformed[3];
544     SkScalar vec4transformed2[4];
545     a44.mapScalars(vec4, vec4transformed);
546     a33.mapHomogeneousPoints(vec3transformed, vec3, 1);
547     a44flattened.mapScalars(vec4, vec4transformed2);
548     REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[0], vec3transformed[0]));
549     REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[1], vec3transformed[1]));
550     REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[3], vec3transformed[2]));
551     REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[0], vec4transformed2[0]));
552     REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[1], vec4transformed2[1]));
553     REPORTER_ASSERT(reporter, !nearly_equal_scalar(vec4transformed[2], vec4transformed2[2]));
554     REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[3], vec4transformed2[3]));
555 }
556 
test_has_perspective(skiatest::Reporter * reporter)557 static void test_has_perspective(skiatest::Reporter* reporter) {
558     SkMatrix44 transform(SkMatrix44::kIdentity_Constructor);
559 
560     transform.setDouble(3, 2, -0.1);
561     REPORTER_ASSERT(reporter, transform.hasPerspective());
562 
563     transform.reset();
564     REPORTER_ASSERT(reporter, !transform.hasPerspective());
565 
566     transform.setDouble(3, 0, -1.0);
567     REPORTER_ASSERT(reporter, transform.hasPerspective());
568 
569     transform.reset();
570     transform.setDouble(3, 1, -1.0);
571     REPORTER_ASSERT(reporter, transform.hasPerspective());
572 
573     transform.reset();
574     transform.setDouble(3, 2, -0.3);
575     REPORTER_ASSERT(reporter, transform.hasPerspective());
576 
577     transform.reset();
578     transform.setDouble(3, 3, 0.5);
579     REPORTER_ASSERT(reporter, transform.hasPerspective());
580 
581     transform.reset();
582     transform.setDouble(3, 3, 0.0);
583     REPORTER_ASSERT(reporter, transform.hasPerspective());
584 }
585 
is_rectilinear(SkVector4 & p1,SkVector4 & p2,SkVector4 & p3,SkVector4 & p4)586 static bool is_rectilinear (SkVector4& p1, SkVector4& p2, SkVector4& p3, SkVector4& p4) {
587     return (SkScalarNearlyEqual(p1.fData[0], p2.fData[0]) &&
588             SkScalarNearlyEqual(p2.fData[1], p3.fData[1]) &&
589             SkScalarNearlyEqual(p3.fData[0], p4.fData[0]) &&
590             SkScalarNearlyEqual(p4.fData[1], p1.fData[1])) ||
591            (SkScalarNearlyEqual(p1.fData[1], p2.fData[1]) &&
592             SkScalarNearlyEqual(p2.fData[0], p3.fData[0]) &&
593             SkScalarNearlyEqual(p3.fData[1], p4.fData[1]) &&
594             SkScalarNearlyEqual(p4.fData[0], p1.fData[0]));
595 }
596 
mul_with_persp_divide(const SkMatrix44 & transform,const SkVector4 & target)597 static SkVector4 mul_with_persp_divide(const SkMatrix44& transform, const SkVector4& target) {
598     SkVector4 result = transform * target;
599     if (result.fData[3] != 0.0f && result.fData[3] != SK_Scalar1) {
600         float wInverse = SK_Scalar1 / result.fData[3];
601         result.set(result.fData[0] * wInverse,
602                    result.fData[1] * wInverse,
603                    result.fData[2] * wInverse,
604                    SK_Scalar1);
605     }
606     return result;
607 }
608 
empirically_preserves_2d_axis_alignment(skiatest::Reporter * reporter,const SkMatrix44 & transform)609 static bool empirically_preserves_2d_axis_alignment(skiatest::Reporter* reporter,
610                                                     const SkMatrix44& transform) {
611   SkVector4 p1(5.0f, 5.0f, 0.0f);
612   SkVector4 p2(10.0f, 5.0f, 0.0f);
613   SkVector4 p3(10.0f, 20.0f, 0.0f);
614   SkVector4 p4(5.0f, 20.0f, 0.0f);
615 
616   REPORTER_ASSERT(reporter, is_rectilinear(p1, p2, p3, p4));
617 
618   p1 = mul_with_persp_divide(transform, p1);
619   p2 = mul_with_persp_divide(transform, p2);
620   p3 = mul_with_persp_divide(transform, p3);
621   p4 = mul_with_persp_divide(transform, p4);
622 
623   return is_rectilinear(p1, p2, p3, p4);
624 }
625 
test(bool expected,skiatest::Reporter * reporter,const SkMatrix44 & transform)626 static void test(bool expected, skiatest::Reporter* reporter, const SkMatrix44& transform) {
627     if (expected) {
628         REPORTER_ASSERT(reporter, empirically_preserves_2d_axis_alignment(reporter, transform));
629         REPORTER_ASSERT(reporter, transform.preserves2dAxisAlignment());
630     } else {
631         REPORTER_ASSERT(reporter, !empirically_preserves_2d_axis_alignment(reporter, transform));
632         REPORTER_ASSERT(reporter, !transform.preserves2dAxisAlignment());
633     }
634 }
635 
test_preserves_2d_axis_alignment(skiatest::Reporter * reporter)636 static void test_preserves_2d_axis_alignment(skiatest::Reporter* reporter) {
637   SkMatrix44 transform(SkMatrix44::kUninitialized_Constructor);
638   SkMatrix44 transform2(SkMatrix44::kUninitialized_Constructor);
639 
640   static const struct TestCase {
641     SkMScalar a; // row 1, column 1
642     SkMScalar b; // row 1, column 2
643     SkMScalar c; // row 2, column 1
644     SkMScalar d; // row 2, column 2
645     bool expected;
646   } test_cases[] = {
647     { 3.f, 0.f,
648       0.f, 4.f, true }, // basic case
649     { 0.f, 4.f,
650       3.f, 0.f, true }, // rotate by 90
651     { 0.f, 0.f,
652       0.f, 4.f, true }, // degenerate x
653     { 3.f, 0.f,
654       0.f, 0.f, true }, // degenerate y
655     { 0.f, 0.f,
656       3.f, 0.f, true }, // degenerate x + rotate by 90
657     { 0.f, 4.f,
658       0.f, 0.f, true }, // degenerate y + rotate by 90
659     { 3.f, 4.f,
660       0.f, 0.f, false },
661     { 0.f, 0.f,
662       3.f, 4.f, false },
663     { 0.f, 3.f,
664       0.f, 4.f, false },
665     { 3.f, 0.f,
666       4.f, 0.f, false },
667     { 3.f, 4.f,
668       5.f, 0.f, false },
669     { 3.f, 4.f,
670       0.f, 5.f, false },
671     { 3.f, 0.f,
672       4.f, 5.f, false },
673     { 0.f, 3.f,
674       4.f, 5.f, false },
675     { 2.f, 3.f,
676       4.f, 5.f, false },
677   };
678 
679   for (size_t i = 0; i < sizeof(test_cases)/sizeof(TestCase); ++i) {
680     const TestCase& value = test_cases[i];
681     transform.setIdentity();
682     transform.set(0, 0, value.a);
683     transform.set(0, 1, value.b);
684     transform.set(1, 0, value.c);
685     transform.set(1, 1, value.d);
686 
687     test(value.expected, reporter, transform);
688   }
689 
690   // Try the same test cases again, but this time make sure that other matrix
691   // elements (except perspective) have entries, to test that they are ignored.
692   for (size_t i = 0; i < sizeof(test_cases)/sizeof(TestCase); ++i) {
693     const TestCase& value = test_cases[i];
694     transform.setIdentity();
695     transform.set(0, 0, value.a);
696     transform.set(0, 1, value.b);
697     transform.set(1, 0, value.c);
698     transform.set(1, 1, value.d);
699 
700     transform.set(0, 2, 1.f);
701     transform.set(0, 3, 2.f);
702     transform.set(1, 2, 3.f);
703     transform.set(1, 3, 4.f);
704     transform.set(2, 0, 5.f);
705     transform.set(2, 1, 6.f);
706     transform.set(2, 2, 7.f);
707     transform.set(2, 3, 8.f);
708 
709     test(value.expected, reporter, transform);
710   }
711 
712   // Try the same test cases again, but this time add perspective which is
713   // always assumed to not-preserve axis alignment.
714   for (size_t i = 0; i < sizeof(test_cases)/sizeof(TestCase); ++i) {
715     const TestCase& value = test_cases[i];
716     transform.setIdentity();
717     transform.set(0, 0, value.a);
718     transform.set(0, 1, value.b);
719     transform.set(1, 0, value.c);
720     transform.set(1, 1, value.d);
721 
722     transform.set(0, 2, 1.f);
723     transform.set(0, 3, 2.f);
724     transform.set(1, 2, 3.f);
725     transform.set(1, 3, 4.f);
726     transform.set(2, 0, 5.f);
727     transform.set(2, 1, 6.f);
728     transform.set(2, 2, 7.f);
729     transform.set(2, 3, 8.f);
730     transform.set(3, 0, 9.f);
731     transform.set(3, 1, 10.f);
732     transform.set(3, 2, 11.f);
733     transform.set(3, 3, 12.f);
734 
735     test(false, reporter, transform);
736   }
737 
738   // Try a few more practical situations to check precision
739   // Reuse TestCase (a, b, c, d) as (x, y, z, degrees) axis to rotate about.
740   TestCase rotation_tests[] = {
741     { 0.0, 0.0, 1.0, 90.0, true },
742     { 0.0, 0.0, 1.0, 180.0, true },
743     { 0.0, 0.0, 1.0, 270.0, true },
744     { 0.0, 1.0, 0.0, 90.0, true },
745     { 1.0, 0.0, 0.0, 90.0, true },
746     { 0.0, 0.0, 1.0, 45.0, false },
747     // In 3d these next two are non-preserving, but we're testing in 2d after
748     // orthographic projection, where they are.
749     { 0.0, 1.0, 0.0, 45.0, true },
750     { 1.0, 0.0, 0.0, 45.0, true },
751   };
752 
753   for (size_t i = 0; i < sizeof(rotation_tests)/sizeof(TestCase); ++i) {
754     const TestCase& value = rotation_tests[i];
755     transform.setRotateDegreesAbout(value.a, value.b, value.c, value.d);
756     test(value.expected, reporter, transform);
757   }
758 
759   static const struct DoubleRotationCase {
760     SkMScalar x1;
761     SkMScalar y1;
762     SkMScalar z1;
763     SkMScalar degrees1;
764     SkMScalar x2;
765     SkMScalar y2;
766     SkMScalar z2;
767     SkMScalar degrees2;
768     bool expected;
769   } double_rotation_tests[] = {
770     { 0.0, 0.0, 1.0, 90.0, 0.0, 1.0, 0.0, 90.0, true },
771     { 0.0, 0.0, 1.0, 90.0, 1.0, 0.0, 0.0, 90.0, true },
772     { 0.0, 1.0, 0.0, 90.0, 0.0, 0.0, 1.0, 90.0, true },
773   };
774 
775   for (size_t i = 0; i < sizeof(double_rotation_tests)/sizeof(DoubleRotationCase); ++i) {
776     const DoubleRotationCase& value = double_rotation_tests[i];
777     transform.setRotateDegreesAbout(value.x1, value.y1, value.z1, value.degrees1);
778     transform2.setRotateDegreesAbout(value.x2, value.y2, value.z2, value.degrees2);
779     transform.postConcat(transform2);
780     test(value.expected, reporter, transform);
781   }
782 
783   // Perspective cases.
784   transform.setIdentity();
785   transform.setDouble(3, 2, -0.1); // Perspective depth 10
786   transform2.setRotateDegreesAbout(0.0, 1.0, 0.0, 45.0);
787   transform.preConcat(transform2);
788   test(false, reporter, transform);
789 
790   transform.setIdentity();
791   transform.setDouble(3, 2, -0.1); // Perspective depth 10
792   transform2.setRotateDegreesAbout(0.0, 0.0, 1.0, 90.0);
793   transform.preConcat(transform2);
794   test(true, reporter, transform);
795 }
796 
797 // just want to exercise the various converters for MScalar
test_toint(skiatest::Reporter * reporter)798 static void test_toint(skiatest::Reporter* reporter) {
799     SkMatrix44 mat(SkMatrix44::kUninitialized_Constructor);
800     mat.setScale(3, 3, 3);
801 
802     SkMScalar sum = SkMScalarFloor(mat.get(0, 0)) +
803                     SkMScalarRound(mat.get(1, 0)) +
804                     SkMScalarCeil(mat.get(2, 0));
805     int isum =      SkMScalarFloorToInt(mat.get(0, 1)) +
806                     SkMScalarRoundToInt(mat.get(1, 2)) +
807                     SkMScalarCeilToInt(mat.get(2, 3));
808     REPORTER_ASSERT(reporter, sum >= 0);
809     REPORTER_ASSERT(reporter, isum >= 0);
810     REPORTER_ASSERT(reporter, static_cast<SkMScalar>(isum) == SkIntToMScalar(isum));
811 }
812 
DEF_TEST(Matrix44,reporter)813 DEF_TEST(Matrix44, reporter) {
814     SkMatrix44 mat(SkMatrix44::kUninitialized_Constructor);
815     SkMatrix44 inverse(SkMatrix44::kUninitialized_Constructor);
816     SkMatrix44 iden1(SkMatrix44::kUninitialized_Constructor);
817     SkMatrix44 iden2(SkMatrix44::kUninitialized_Constructor);
818     SkMatrix44 rot(SkMatrix44::kUninitialized_Constructor);
819 
820     mat.setTranslate(1, 1, 1);
821     mat.invert(&inverse);
822     iden1.setConcat(mat, inverse);
823     REPORTER_ASSERT(reporter, is_identity(iden1));
824 
825     mat.setScale(2, 2, 2);
826     mat.invert(&inverse);
827     iden1.setConcat(mat, inverse);
828     REPORTER_ASSERT(reporter, is_identity(iden1));
829 
830     mat.setScale(SK_MScalar1/2, SK_MScalar1/2, SK_MScalar1/2);
831     mat.invert(&inverse);
832     iden1.setConcat(mat, inverse);
833     REPORTER_ASSERT(reporter, is_identity(iden1));
834 
835     mat.setScale(3, 3, 3);
836     rot.setRotateDegreesAbout(0, 0, -1, 90);
837     mat.postConcat(rot);
838     REPORTER_ASSERT(reporter, mat.invert(nullptr));
839     mat.invert(&inverse);
840     iden1.setConcat(mat, inverse);
841     REPORTER_ASSERT(reporter, is_identity(iden1));
842     iden2.setConcat(inverse, mat);
843     REPORTER_ASSERT(reporter, is_identity(iden2));
844 
845     // test tiny-valued matrix inverse
846     mat.reset();
847     auto v = SkDoubleToMScalar(1.0e-12);
848     mat.setScale(v,v,v);
849     rot.setRotateDegreesAbout(0, 0, -1, 90);
850     mat.postConcat(rot);
851     mat.postTranslate(v,v,v);
852     REPORTER_ASSERT(reporter, mat.invert(nullptr));
853     mat.invert(&inverse);
854     iden1.setConcat(mat, inverse);
855     REPORTER_ASSERT(reporter, is_identity(iden1));
856 
857     // test mixed-valued matrix inverse
858     mat.reset();
859     mat.setScale(SkDoubleToMScalar(1.0e-2),
860                  SkDoubleToMScalar(3.0),
861                  SkDoubleToMScalar(1.0e+2));
862     rot.setRotateDegreesAbout(0, 0, -1, 90);
863     mat.postConcat(rot);
864     mat.postTranslate(SkDoubleToMScalar(1.0e+2),
865                       SkDoubleToMScalar(3.0),
866                       SkDoubleToMScalar(1.0e-2));
867     REPORTER_ASSERT(reporter, mat.invert(nullptr));
868     mat.invert(&inverse);
869     iden1.setConcat(mat, inverse);
870     REPORTER_ASSERT(reporter, is_identity(iden1));
871 
872     // test degenerate matrix
873     mat.reset();
874     mat.set3x3(1.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0);
875     REPORTER_ASSERT(reporter, !mat.invert(nullptr));
876 
877     // test rol/col Major getters
878     {
879         mat.setTranslate(2, 3, 4);
880         float dataf[16];
881         double datad[16];
882 
883         mat.asColMajorf(dataf);
884         assert16<float>(reporter, dataf,
885                  1, 0, 0, 0,
886                  0, 1, 0, 0,
887                  0, 0, 1, 0,
888                  2, 3, 4, 1);
889         mat.asColMajord(datad);
890         assert16<double>(reporter, datad, 1, 0, 0, 0,
891                         0, 1, 0, 0,
892                         0, 0, 1, 0,
893                         2, 3, 4, 1);
894         mat.asRowMajorf(dataf);
895         assert16<float>(reporter, dataf, 1, 0, 0, 2,
896                         0, 1, 0, 3,
897                         0, 0, 1, 4,
898                         0, 0, 0, 1);
899         mat.asRowMajord(datad);
900         assert16<double>(reporter, datad, 1, 0, 0, 2,
901                         0, 1, 0, 3,
902                         0, 0, 1, 4,
903                         0, 0, 0, 1);
904     }
905 
906     test_concat(reporter);
907 
908     if (false) { // avoid bit rot, suppress warning (working on making this pass)
909         test_common_angles(reporter);
910     }
911 
912     test_constructor(reporter);
913     test_gettype(reporter);
914     test_determinant(reporter);
915     test_invert(reporter);
916     test_transpose(reporter);
917     test_get_set_double(reporter);
918     test_set_row_col_major(reporter);
919     test_translate(reporter);
920     test_scale(reporter);
921     test_map2(reporter);
922     test_3x3_conversion(reporter);
923     test_has_perspective(reporter);
924     test_preserves_2d_axis_alignment(reporter);
925     test_toint(reporter);
926 }
927