-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmain.dart
450 lines (409 loc) · 11.7 KB
/
main.dart
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
import 'dart:math' as math;
import 'dart:io' as io;
import 'term.dart';
import 'unknowns.dart';
import 'constants.dart';
import 'vecmath3.dart';
import 'vecmath4.dart';
int padding = 1;
void usage() {
print('usage: dart main.dart [rect_transform] [pick_ray] [math_test] [--nopad] [--padding N]');
}
void main(List<String> args) {
bool foundOne = false;
for (int i = 0; i < args.length; i++) {
var arg = args[i];
switch (arg) {
case 'rect_transform':
runRectTransforms();
foundOne = true;
break;
case 'pick_ray':
runPickRays();
foundOne = true;
break;
case 'math_test':
testMath();
foundOne = true;
break;
case '--nopad':
padding = 0;
break;
case '--padding':
if (++i < args.length) {
try {
padding = int.parse(args[i]);
} catch(e) {
print('--padding requires numeric argument');
usage();
return;
}
} else {
print('No argument for --padding');
usage();
return;
}
break;
default:
print('Unrecognized arg ($arg) ignored');
break;
}
}
if (!foundOne) {
usage();
}
}
const a = Unknown('a');
const b = Unknown('b');
const c = Unknown('c');
const d = Unknown('d');
const e = Unknown('e');
const f = Unknown('f');
const g = Unknown('g');
const h = Unknown('h');
const i = Unknown('i');
const j = Unknown('j');
const k = Unknown('k');
const l = Unknown('l');
const m = Unknown('m');
const n = Unknown('n');
const o = Unknown('o');
const p = Unknown('p');
const ap = Unknown('a`');
const bp = Unknown('b`');
const cp = Unknown('c`');
const dp = Unknown('d`');
const ep = Unknown('e`');
const fp = Unknown('f`');
const gp = Unknown('g`');
const hp = Unknown('h`');
const ip = Unknown('i`');
const jp = Unknown('j`');
const kp = Unknown('k`');
const lp = Unknown('l`');
const mp = Unknown('m`');
const np = Unknown('n`');
const op = Unknown('o`');
const pp = Unknown('p`');
const X = Unknown('X');
const Y = Unknown('Y');
//void printOps(Constant v1, Constant v2) {
// double v1val = v1.value;
// double v2val = v2.value;
// print('$v1val + $v2val = ${v1val + v2val}');
// print('$v1val - $v2val = ${v1val - v2val}');
// print('$v1val * $v2val = ${v1val * v2val}');
// print('$v1val / $v2val = ${v1val / v2val}');
// print('$v1val == $v2val = ${v1val == v2val}');
// print('$v1val != $v2val = ${v1val != v2val}');
// print('$v1val >= $v2val = ${v1val >= v2val}');
// print('$v1val <= $v2val = ${v1val <= v2val}');
// print('$v1val > $v2val = ${v1val > v2val}');
// print('$v1val < $v2val = ${v1val < v2val}');
//}
//
//void testMath() {
// printOps(one, zero);
// printOps(neg_one, zero);
// printOps(pos_infinity, zero);
// printOps(neg_infinity, zero);
// printOps(pos_infinity, neg_infinity);
// printOps(neg_infinity, pos_infinity);
// printOps(pos_infinity, pos_infinity);
// printOps(indeterminate, indeterminate);
// printOps(indeterminate, one);
// printOps(one, indeterminate);
// printOps(indeterminate, pos_infinity);
// printOps(neg_infinity, indeterminate);
//}
List<Constant> all_values = [
neg_infinity,
neg_overflow,
neg_one,
neg_underflow,
neg_vanishing,
zero,
pos_vanishing,
pos_underflow,
one,
pos_overflow,
pos_infinity,
indeterminate,
];
String pad(String val, String padChar, int width) {
while (val.length < width) {
val = val + padChar;
if (val.length < width) {
val = padChar + val;
}
}
return val;
}
void printRow(String label, List values, List<int> columnWidths) {
io.stdout.write(pad(label, ' ', columnWidths[0]));
for (int c = 0; c < values.length; c++) {
io.stdout.write('|');
io.stdout.write(pad(values[c].toString(), ' ', columnWidths[c+1]));
}
io.stdout.write('\n');
}
void checkSymmetry(List<List<Constant>> results, String operator) {
for (int r = 0; r < all_values.length; r++) {
for (int c = 0; c < all_values.length; c++) {
if (results[r][c].compareTo(results[c][r]) != 0) {
print('${all_values[r]} $operator ${all_values[c]} == ${results[r][c]}');
print('${all_values[c]} $operator ${all_values[r]} == ${results[c][r]}');
print('');
}
}
}
}
void show(List<List<Constant>> results, String operator) {
List<int> columnWidths = [
0,
for (Constant c in all_values) c.toString().length,
];
for (int w in columnWidths) {
columnWidths[0] = math.max(columnWidths[0], w);
}
for (int r = 0; r < results.length; r++) {
List<Constant> row = results[r];
for (int c = 0; c < row.length; c++) {
Constant result = row[c];
int len = result.toString().length;
columnWidths[c+1] = math.max(columnWidths[c+1], len);
}
}
if (padding > 0) {
for (int c = 0; c < columnWidths.length; c++) {
columnWidths[c] += padding * 2;
}
}
printRow(operator, all_values, columnWidths);
List<String> dashes = [
for (int c = 0; c < all_values.length; c++)
pad('-', '-', columnWidths[c+1]),
];
printRow(pad('-', '-', columnWidths[0]), dashes, columnWidths);
for (int r = 0; r < results.length; r++) {
printRow(all_values[r].toString(), results[r], columnWidths);
}
}
List<List<Constant>> calculate(Constant calc(Constant a, Constant b)) {
return [
for (Constant a in all_values) [
for (Constant b in all_values)
calc(a, b),
],
];
}
void testMath() {
List<List<Constant>> sums = calculate((a,b) => a + b);
checkSymmetry(sums, '+');
show(sums, '+');
print('');
List<List<Constant>> products = calculate((a,b) => a * b);
checkSymmetry(products, '*');
show(products, '*');
print('');
List<List<Constant>> differences = calculate((a,b) => a - b);
// checkSymmetry(differences, '-');
show(differences, '-');
print('');
List<List<Constant>> divisions = calculate((a,b) => a / b);
// checkSymmetry(divisions, '/');
show(divisions, '/');
print('');
}
Unknown L = Unknown('L');
Unknown T = Unknown('T');
Unknown W = Unknown('W');
Unknown H = Unknown('H');
Term R = (L + W);
Term B = (T + H);
void runTransforms(Matrix4x4 M4) {
Vector4 lt = Vector4(L, T);
Vector4 rt = Vector4(R, T);
Vector4 lb = Vector4(L, B);
Vector4 rb = Vector4(R, B);
Vector4 dw = Vector4(W, zero, zero, zero);
Vector4 dh = Vector4(zero, H, zero, zero);
Vector4 Tlt = M4.transform(lt);
Vector4 Trt = M4.transform(rt);
Vector4 Tlb = M4.transform(lb);
Vector4 Trb = M4.transform(rb);
Vector4 Tdw = M4.transform(dw);
Vector4 Tdh = M4.transform(dh);
Vector4 Tdltw = Tlt + Tdw;
Vector4 Tdlth = Tlt + Tdh;
Vector4 Tdltwh = Tdltw + Tdh;
Vector4 TltN = Tlt.normalize();
Vector4 TrtN = Trt.normalize();
Vector4 TlbN = Tlb.normalize();
Vector4 TrbN = Trb.normalize();
Vector4 Wt = TrtN - TltN;
Vector4 Wb = TrbN - TlbN;
Vector4 Hl = TlbN - TltN;
Vector4 Hr = TrbN - TrtN;
Vector4 WH = TrbN - TltN;
M4.printOut('M4');
print('');
print('TxLT = M4 * $lt = $Tlt');
print('TxRT = M4 * $rt = $Trt');
print('TxLB = M4 * $lb = $Tlb');
print('TxRB = M4 * $rb = $Trb');
print('DTx(W,0) = $Tdw');
print('DTx(0,H) = $Tdh');
print('TxLT + DTx(W,0) = $Tdltw');
print(' ... then compared to TxRT = ${Tdltw - Trt}');
print('TxLT + DTx(0,H) = $Tdlth');
print(' ... then compared to TxLB = ${Tdlth - Tlb}');
print('TxLT + DTx(W,0) + DTx(0,H) = $Tdltwh');
print(' ... then compared to TxRB = ${Tdltwh - Trb}');
print('');
print('TxLT normalized = $TltN');
print('TxRT normalized = $TrtN');
print('TxLB normalized = $TlbN');
print('TxRB normalized = $TrbN');
print('');
Wt.printOut('WidthTop = TxRTnorm - TxLTnorm = ');
Hl.printOut('HeightLeft = TxLBnorm - TxLTnorm = ');
Wb.printOut('WidthBottom = TxRBnorm - TxLBnorm = ');
Hr.printOut('HeightRight = TxRBnorm - TxRTnorm = ');
WH.printOut('Diagonal = TxRBnorm - TxLTnorm = ');
print('');
(Wb - Wt).printOut('WidthBottom - WidthTop = ');
(Hr - Hl).printOut('HeightRight - HeightLeft = ');
}
void runRectTransforms() {
print(' First, rectangle transformation for the non-perspective (affine 3D) case');
print('');
Matrix4x4 M4np = Matrix4x4([
[ a, b, c, d, ],
[ e, f, g, h, ],
[ i, j, k, l, ],
[ zero, zero, zero, one, ],
]);
runTransforms(M4np);
print('');
print('');
print(' And now adding a basic camera perspective matrix, but no 3D operations:');
print('');
Matrix4x4 M4cam = Matrix4x4([
[ a, b, c, d, ],
[ e, f, g, h, ],
[ i, j, k, l, ],
[ zero, zero, o, p, ],
]);
runTransforms(M4cam);
print('');
print('');
print(' Finally, considering the rectangle transform with a full 4x4 matrix:');
print('');
Matrix4x4 M4full = Matrix4x4([
[ a, b, c, d, ],
[ e, f, g, h, ],
[ i, j, k, l, ],
[ m, n, o, p, ],
]);
runTransforms(M4full);
}
void runPickRays() {
// testMath();
Matrix4x4 M4 = Matrix4x4([
[ a, b, c, d, ],
[ e, f, g, h, ],
[ i, j, k, l, ],
[ m, n, o, p, ],
]);
Matrix4x4 M4m = M4.minors();
Matrix4x4 M4c = M4m.cofactors();
Matrix4x4 M4a = M4c.transpose();
M4.printOut('M4');
Term M4det = M4.determinant();
print('|M4| = $M4det');
print('');
M4m.printOut('minors(M4)');
print('');
M4c.printOut('cofactors(minors(M4))');
print('');
M4a.printOut('M4a = adjugate(M4) = transpose(cofactors(minors(M4)))');
print('');
// This takes a while to calculate:
// print(m4a.determinant());
// print('');
Vector4 P4m = Vector4(X, Y);
if (P4m.zVal != zero) print("z not zero!");
if ((P4m.zVal * M4.elements[0][2]) != zero) print("product not zero!");
Vector4 P4s = M4.transform(P4m);
Vector4 P4si = M4a.transform(P4s);
print('P4m = $P4m');
print('P4m norm = ${P4m.normalize()}');
print('P4s = $P4s');
print('P4s norm = ${P4s.normalize()}');
print('');
print('P4s * M4a = $P4si');
print('');
print('(P4s * M4a) normalized = ${P4si.normalize()}');
print('');
Matrix4x4 M4u = (M4 * M4a) / M4det;
M4u.printOut('(M4 x M4a) / |M4|');
Vector4 P4sz0 = Vector4(X, Y, zero);
Vector4 P4sz1 = Vector4(X, Y, one);
Vector4 P4mz0 = M4a.transform(P4sz0);
Vector4 P4mz1 = M4a.transform(P4sz1);
print('P4s(Z=0) = $P4sz0');
print('P4s(Z=1) = $P4sz1');
print('');
print('P4m(Z=0) = $P4mz0');
print('');
print('P4m(Z=1) = $P4mz1');
print('');
print('P4m(Z=1) - P4m(Z=0) = ${P4mz1 - P4mz0}');
// P4mz0.z = Z0 + (t=0)*(Z1 - Z0) = Z0
// P4mz1.z = Z0 + (t=1)*(Z1 - Z0) = Z0 + Z1-Z0 = Z1
// 0 = Z0 + (t=t0)*(Z1 - Z0)
// t0 = -Z0 / (Z1 - Z0)
// t0 = Z0 / (Z0 - Z1)
Vector4 P4mz0n = P4mz0.normalize();
Vector4 P4mz1n = P4mz1.normalize();
Term Z0 = P4mz0n.zVal;
Term Z1 = P4mz1n.zVal;
Term Z0mZ1 = Z0 - Z1;
Term t0 = Z0 / Z0mZ1;
print('');
print('t0 = $t0');
print('t0 outline = ${t0.toOutline()}');
print('');
print('Alternate Method:');
print('');
Matrix3x3 M3 = M4.without(skipRow: 2, skipCol: 2);
Matrix3x3 M3m = M3.minors();
Matrix3x3 M3c = M3m.cofactors();
Matrix3x3 M3a = M3c.transpose();
M3.printOut('M3');
Term M3det = M3.determinant();
print('|M3| = $M3det');
print('');
M3m.printOut('minors(M3)');
M3c.printOut('cofactors(minors(M3))');
M3a.printOut('M3a = adjugate(M3) = transpose(cofactors(minors(M3)))');
Vector3 P3m = Vector3(X, Y);
Vector3 P3s = M3.transform(P3m);
Vector3 P3si = M3a.transform(P3s);
print('');
print('P3m = $P3m');
print('P3m norm = ${P3m.normalize()}');
print('P3s = $P3s');
print('P3s norm = ${P3s.normalize()}');
print('');
print('P3s * M3a = $P3si');
print('');
print('(P3s * M3a) normalized = ${P3si.normalize()}');
print('');
Matrix3x3 M3u = (M3 * M3a) / M3det;
M3u.printOut('(M3 x M3a) / |M3|');
Vector3 P3malt = M3a.transform(P3s.normalize());
print('');
print('P3m alternate inverse = $P3malt');
}