87TEST(curves_geometry, CatmullRomEvaluation)
91 curves.resolution_for_write().fill(12);
92 curves.offsets_for_write().last() = 4;
93 curves.cyclic_for_write().fill(
false);
96 positions[0] = {1, 1, 0};
97 positions[1] = {0, 1, 0};
98 positions[2] = {0, 0, 0};
99 positions[3] = {-1, 0, 0};
101 Span<float3> evaluated_positions = curves.evaluated_positions();
104 {0.948495, 1.00318, 0},
105 {0.87963, 1.01157, 0},
106 {0.796875, 1.02344, 0},
107 {0.703704, 1.03704, 0},
108 {0.603588, 1.05064, 0},
110 {0.396412, 1.07089, 0},
111 {0.296296, 1.07407, 0},
112 {0.203125, 1.07031, 0},
113 {0.12037, 1.05787, 0},
114 {0.0515046, 1.03501, 0},
116 {-0.0318287, 0.948495, 0},
117 {-0.0462963, 0.87963, 0},
118 {-0.046875, 0.796875, 0},
119 {-0.037037, 0.703704, 0},
120 {-0.0202546, 0.603588, 0},
122 {0.0202546, 0.396412, 0},
123 {0.037037, 0.296296, 0},
124 {0.046875, 0.203125, 0},
125 {0.0462963, 0.12037, 0},
126 {0.0318287, 0.0515046, 0},
128 {-0.0515046, -0.0350116, 0},
129 {-0.12037, -0.0578704, 0},
130 {-0.203125, -0.0703125, 0},
131 {-0.296296, -0.0740741, 0},
132 {-0.396412, -0.0708912, 0},
134 {-0.603588, -0.0506366, 0},
135 {-0.703704, -0.037037, 0},
136 {-0.796875, -0.0234375, 0},
137 {-0.87963, -0.0115741, 0},
138 {-0.948495, -0.00318287, 0},
141 for (
const int i : evaluated_positions.
index_range()) {
142 EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
146 curves.tag_positions_changed();
147 curves.evaluated_positions();
148 EXPECT_EQ(curves.evaluated_positions().data(), evaluated_positions.
data());
151 EXPECT_EQ(evaluated_positions[12].x, 0.0f);
152 EXPECT_EQ(evaluated_positions[12].y, 1.0f);
154 positions[0] = {1, 0, 0};
155 positions[1] = {1, 1, 0};
156 positions[2] = {0, 1, 0};
157 positions[3] = {0, 0, 0};
158 curves.cyclic_for_write().fill(
true);
161 curves.tag_topology_changed();
164 evaluated_positions = curves.evaluated_positions();
167 {1.03819, 0.0515046, 0},
168 {1.06944, 0.12037, 0},
169 {1.09375, 0.203125, 0},
170 {1.11111, 0.296296, 0},
171 {1.12153, 0.396412, 0},
173 {1.12153, 0.603588, 0},
174 {1.11111, 0.703704, 0},
175 {1.09375, 0.796875, 0},
176 {1.06944, 0.87963, 0},
177 {1.03819, 0.948495, 0},
179 {0.948495, 1.03819, 0},
180 {0.87963, 1.06944, 0},
181 {0.796875, 1.09375, 0},
182 {0.703704, 1.11111, 0},
183 {0.603588, 1.12153, 0},
185 {0.396412, 1.12153, 0},
186 {0.296296, 1.11111, 0},
187 {0.203125, 1.09375, 0},
188 {0.12037, 1.06944, 0},
189 {0.0515046, 1.03819, 0},
191 {-0.0381944, 0.948495, 0},
192 {-0.0694444, 0.87963, 0},
193 {-0.09375, 0.796875, 0},
194 {-0.111111, 0.703704, 0},
195 {-0.121528, 0.603588, 0},
197 {-0.121528, 0.396412, 0},
198 {-0.111111, 0.296296, 0},
199 {-0.09375, 0.203125, 0},
200 {-0.0694444, 0.12037, 0},
201 {-0.0381944, 0.0515046, 0},
203 {0.0515046, -0.0381944, 0},
204 {0.12037, -0.0694444, 0},
205 {0.203125, -0.09375, 0},
206 {0.296296, -0.111111, 0},
207 {0.396412, -0.121528, 0},
209 {0.603588, -0.121528, 0},
210 {0.703704, -0.111111, 0},
211 {0.796875, -0.09375, 0},
212 {0.87963, -0.0694444, 0},
213 {0.948495, -0.0381944, 0},
215 for (
const int i : evaluated_positions.
index_range()) {
216 EXPECT_V3_NEAR(evaluated_positions[i], result_2[i], 1e-5f);
232TEST(curves_geometry, BezierPositionEvaluation)
236 curves.resolution_for_write().fill(12);
237 curves.offsets_for_write().last() = 2;
242 positions.
first() = {-1, 0, 0};
243 positions.last() = {1, 0, 0};
244 handles_right.
first() = {-0.5f, 0.5f, 0.0f};
245 handles_left.
last() = {0, 0, 0};
248 handles_left.
first() = {100, 100, 100};
249 handles_right.
last() = {100, 100, 100};
251 Span<float3> evaluated_positions = curves.evaluated_positions();
254 {-0.874711, 0.105035, 0},
255 {-0.747685, 0.173611, 0},
256 {-0.617188, 0.210937, 0},
257 {-0.481481, 0.222222, 0},
258 {-0.338831, 0.212674, 0},
259 {-0.1875, 0.1875, 0},
260 {-0.0257524, 0.15191, 0},
261 {0.148148, 0.111111, 0},
262 {0.335937, 0.0703125, 0},
263 {0.539352, 0.0347222, 0},
264 {0.760127, 0.00954859, 0},
267 for (
const int i : evaluated_positions.
index_range()) {
268 EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
273 curves.resolution_for_write().fill(9);
274 curves.offsets_for_write().last() = 4;
275 handles_left = curves.handle_positions_left_for_write();
276 handles_right = curves.handle_positions_right_for_write();
277 positions = curves.positions_for_write();
278 positions[2] = {-1, 1, 0};
279 positions[3] = {1, 1, 0};
280 handles_right[2] = {-0.5f, 1.5f, 0.0f};
281 handles_left[3] = {0, 1, 0};
284 handles_left[2] = {-100, -100, -100};
285 handles_right[3] = {-100, -100, -100};
287 evaluated_positions = curves.evaluated_positions();
291 {-0.832647, 0.131687, 0},
292 {-0.66118, 0.201646, 0},
293 {-0.481481, 0.222222, 0},
294 {-0.289438, 0.205761, 0},
295 {-0.0809327, 0.164609, 0},
296 {0.148148, 0.111111, 0},
297 {0.40192, 0.0576133, 0},
298 {0.684499, 0.016461, 0},
301 {-0.832647, 1.13169, 0},
302 {-0.66118, 1.20165, 0},
303 {-0.481481, 1.22222, 0},
304 {-0.289438, 1.20576, 0},
305 {-0.0809327, 1.16461, 0},
306 {0.148148, 1.11111, 0},
307 {0.40192, 1.05761, 0},
308 {0.684499, 1.01646, 0},
311 for (
const int i : evaluated_positions.
index_range()) {
312 EXPECT_V3_NEAR(evaluated_positions[i], result_2[i], 1e-5f);
316TEST(curves_geometry, NURBSEvaluation)
320 curves.resolution_for_write().fill(10);
321 curves.offsets_for_write().last() = 4;
324 positions[0] = {1, 1, 0};
325 positions[1] = {0, 1, 0};
326 positions[2] = {0, 0, 0};
327 positions[3] = {-1, 0, 0};
329 Span<float3> evaluated_positions = curves.evaluated_positions();
331 {0.166667, 0.833333, 0}, {0.150006, 0.815511, 0}, {0.134453, 0.796582, 0},
332 {0.119924, 0.776627, 0}, {0.106339, 0.75573, 0}, {0.0936146, 0.733972, 0},
333 {0.0816693, 0.711434, 0}, {0.0704211, 0.6882, 0}, {0.0597879, 0.66435, 0},
334 {0.0496877, 0.639968, 0}, {0.0400385, 0.615134, 0}, {0.0307584, 0.589931, 0},
335 {0.0217653, 0.564442, 0}, {0.0129772, 0.538747, 0}, {0.00431208, 0.512929, 0},
336 {-0.00431208, 0.487071, 0}, {-0.0129772, 0.461253, 0}, {-0.0217653, 0.435558, 0},
337 {-0.0307584, 0.410069, 0}, {-0.0400385, 0.384866, 0}, {-0.0496877, 0.360032, 0},
338 {-0.0597878, 0.33565, 0}, {-0.0704211, 0.3118, 0}, {-0.0816693, 0.288566, 0},
339 {-0.0936146, 0.266028, 0}, {-0.106339, 0.24427, 0}, {-0.119924, 0.223373, 0},
340 {-0.134453, 0.203418, 0}, {-0.150006, 0.184489, 0}, {-0.166667, 0.166667, 0},
342 for (
const int i : evaluated_positions.
index_range()) {
343 EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
347 curves.cyclic_for_write().fill(
true);
348 curves.tag_topology_changed();
349 evaluated_positions = curves.evaluated_positions();
351 {0.166667, 0.833333, 0}, {0.121333, 0.778667, 0},
352 {0.084, 0.716, 0}, {0.0526667, 0.647333, 0},
353 {0.0253333, 0.574667, 0}, {0, 0.5, 0},
354 {-0.0253333, 0.425333, 0}, {-0.0526667, 0.352667, 0},
355 {-0.084, 0.284, 0}, {-0.121333, 0.221333, 0},
356 {-0.166667, 0.166667, 0}, {-0.221, 0.121667, 0},
357 {-0.281333, 0.0866667, 0}, {-0.343667, 0.0616666, 0},
358 {-0.404, 0.0466667, 0}, {-0.458333, 0.0416667, 0},
359 {-0.502667, 0.0466667, 0}, {-0.533, 0.0616666, 0},
360 {-0.545333, 0.0866667, 0}, {-0.535667, 0.121667, 0},
361 {-0.5, 0.166667, 0}, {-0.436, 0.221334, 0},
362 {-0.348, 0.284, 0}, {-0.242, 0.352667, 0},
363 {-0.124, 0.425333, 0}, {0, 0.5, 0},
364 {0.124, 0.574667, 0}, {0.242, 0.647333, 0},
365 {0.348, 0.716, 0}, {0.436, 0.778667, 0},
366 {0.5, 0.833333, 0}, {0.535667, 0.878334, 0},
367 {0.545333, 0.913333, 0}, {0.533, 0.938333, 0},
368 {0.502667, 0.953333, 0}, {0.458333, 0.958333, 0},
369 {0.404, 0.953333, 0}, {0.343667, 0.938333, 0},
370 {0.281333, 0.913333, 0}, {0.221, 0.878333, 0},
372 for (
const int i : evaluated_positions.
index_range()) {
373 EXPECT_V3_NEAR(evaluated_positions[i], result_2[i], 1e-5f);
377 positions[0] = {1, 0, 0};
378 positions[1] = {1, 1, 0};
379 positions[2] = {0, 1, 0};
380 positions[3] = {0, 0, 0};
381 curves.nurbs_weights_for_write().fill(1.0f);
382 curves.nurbs_weights_for_write()[0] = 4.0f;
383 curves.tag_positions_changed();
385 {0.888889, 0.555556, 0}, {0.837792, 0.643703, 0}, {0.773885, 0.727176, 0},
386 {0.698961, 0.800967, 0}, {0.616125, 0.860409, 0}, {0.529412, 0.901961, 0},
387 {0.443152, 0.923773, 0}, {0.361289, 0.925835, 0}, {0.286853, 0.909695, 0},
388 {0.221722, 0.877894, 0}, {0.166667, 0.833333, 0}, {0.122106, 0.778278, 0},
389 {0.0903055, 0.713148, 0}, {0.0741654, 0.638711, 0}, {0.0762274, 0.556847, 0},
390 {0.0980392, 0.470588, 0}, {0.139591, 0.383875, 0}, {0.199032, 0.301039, 0},
391 {0.272824, 0.226114, 0}, {0.356297, 0.162208, 0}, {0.444444, 0.111111, 0},
392 {0.531911, 0.0731388, 0}, {0.612554, 0.0468976, 0}, {0.683378, 0.0301622, 0},
393 {0.74391, 0.0207962, 0}, {0.794872, 0.017094, 0}, {0.837411, 0.017839, 0},
394 {0.872706, 0.0222583, 0}, {0.901798, 0.0299677, 0}, {0.925515, 0.0409445, 0},
395 {0.944444, 0.0555556, 0}, {0.959056, 0.0744855, 0}, {0.970032, 0.0982019, 0},
396 {0.977742, 0.127294, 0}, {0.982161, 0.162589, 0}, {0.982906, 0.205128, 0},
397 {0.979204, 0.256091, 0}, {0.969838, 0.316622, 0}, {0.953102, 0.387446, 0},
398 {0.926861, 0.468089, 0},
400 evaluated_positions = curves.evaluated_positions();
401 for (
const int i : evaluated_positions.
index_range()) {
402 EXPECT_V3_NEAR(evaluated_positions[i], result_3[i], 1e-5f);
406TEST(curves_geometry, BezierGenericEvaluation)
410 curves.resolution_for_write().fill(8);
411 curves.offsets_for_write().last() = 3;
416 positions.
first() = {-1, 0, 0};
417 handles_right.
first() = {-1, 1, 0};
418 handles_left[1] = {0, 0, 0};
419 positions[1] = {1, 0, 0};
420 handles_right[1] = {2, 0, 0};
421 handles_left.
last() = {1, 1, 0};
422 positions.last() = {2, 1, 0};
425 handles_left.
first() = {100, 100, 100};
426 handles_right.
last() = {100, 100, 100};
428 Span<float3> evaluated_positions = curves.evaluated_positions();
431 {-0.955078f, 0.287109f, 0.0f},
432 {-0.828125f, 0.421875f, 0.0f},
433 {-0.630859f, 0.439453f, 0.0f},
434 {-0.375f, 0.375f, 0.0f},
435 {-0.0722656f, 0.263672f, 0.0f},
436 {0.265625f, 0.140625f, 0.0f},
437 {0.626953f, 0.0410156f, 0.0f},
439 {1.28906f, 0.0429688f, 0.0f},
440 {1.4375f, 0.15625f, 0.0f},
441 {1.49219f, 0.316406f, 0.0f},
443 {1.50781f, 0.683594f, 0.0f},
444 {1.5625f, 0.84375f, 0.0f},
445 {1.71094f, 0.957031f, 0.0f},
448 for (
const int i : evaluated_positions.
index_range()) {
449 EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
454 curves.interpolate_to_evaluated(0, radii.as_span(), evaluated_radii.
as_mutable_span());
474 for (
const int i : evaluated_radii.
index_range()) {
475 EXPECT_NEAR(evaluated_radii[i], result_2[i], 1e-6f);