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43 | 43 | }, |
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48 | 48 | "metadata": {}, |
49 | 49 | "outputs": [], |
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79 | 79 | }, |
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82 | | - "execution_count": 51, |
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161 | 161 | }, |
162 | 162 | { |
163 | 163 | "cell_type": "code", |
164 | | - "execution_count": 52, |
| 164 | + "execution_count": 4, |
165 | 165 | "id": "1bcfdec0", |
166 | 166 | "metadata": { |
167 | 167 | "tags": [ |
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172 | 172 | { |
173 | 173 | "data": { |
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245 | | - "execution_count": 53, |
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248 | 248 | "tags": [ |
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269 | 269 | }, |
270 | 270 | { |
271 | 271 | "cell_type": "code", |
272 | | - "execution_count": 54, |
| 272 | + "execution_count": 6, |
273 | 273 | "id": "ad916a26", |
274 | 274 | "metadata": { |
275 | 275 | "tags": [ |
276 | 276 | "otter_answer_cell" |
277 | 277 | ] |
278 | 278 | }, |
279 | 279 | "outputs": [ |
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281 | | - "name": "stderr", |
282 | | - "output_type": "stream", |
283 | | - "text": [ |
284 | | - "C:\\Users\\cassi\\AppData\\Local\\Temp\\ipykernel_1704\\20620845.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n", |
285 | | - " fig_2, axs_2 = plt.subplots()\n" |
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331 | 323 | { |
332 | 324 | "data": { |
333 | 325 | "text/html": [ |
334 | | - "<p><strong><pre style='display: inline;'>interpolate_road</pre></strong> passed! 🌈</p>" |
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335 | 327 | ], |
336 | 328 | "text/plain": [ |
337 | 329 | "interpolate_road results: All test cases passed!" |
338 | 330 | ] |
339 | 331 | }, |
340 | | - "execution_count": 55, |
| 332 | + "execution_count": 7, |
341 | 333 | "metadata": {}, |
342 | 334 | "output_type": "execute_result" |
343 | 335 | } |
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360 | 352 | }, |
361 | 353 | { |
362 | 354 | "cell_type": "code", |
363 | | - "execution_count": 56, |
| 355 | + "execution_count": 8, |
364 | 356 | "id": "545fec91", |
365 | 357 | "metadata": { |
366 | 358 | "tags": [ |
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374 | 366 | "Text(0.5, 1.0, 'Sampling w/ 100.0ms timesteps')" |
375 | 367 | ] |
376 | 368 | }, |
377 | | - "execution_count": 56, |
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427 | 419 | { |
428 | 420 | "cell_type": "code", |
429 | | - "execution_count": 57, |
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436 | 428 | { |
437 | 429 | "data": { |
438 | 430 | "text/html": [ |
439 | | - "<p><strong><pre style='display: inline;'>interpolate_road_2</pre></strong> passed! 🙌</p>" |
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440 | 432 | ], |
441 | 433 | "text/plain": [ |
442 | 434 | "interpolate_road_2 results: All test cases passed!" |
443 | 435 | ] |
444 | 436 | }, |
445 | | - "execution_count": 57, |
| 437 | + "execution_count": 9, |
446 | 438 | "metadata": {}, |
447 | 439 | "output_type": "execute_result" |
448 | 440 | } |
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668 | 660 | }, |
669 | 661 | { |
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671 | | - "execution_count": 58, |
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674 | 666 | "tags": [ |
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790 | 782 | { |
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793 | 785 | "id": "9275d270", |
794 | 786 | "metadata": { |
795 | 787 | "tags": [ |
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860 | 852 | { |
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862 | | - "execution_count": 60, |
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864 | 856 | "metadata": { |
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997 | 989 | "id": "fad07eac", |
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1003 | 995 | { |
1004 | 996 | "data": { |
1005 | 997 | "text/html": [ |
1006 | | - "<p><strong><pre style='display: inline;'>state_space_model</pre></strong> passed! 🌟</p>" |
| 998 | + "<p><strong><pre style='display: inline;'>state_space_model</pre></strong> passed! ✨</p>" |
1007 | 999 | ], |
1008 | 1000 | "text/plain": [ |
1009 | 1001 | "state_space_model results: All test cases passed!" |
1010 | 1002 | ] |
1011 | 1003 | }, |
1012 | | - "execution_count": 62, |
| 1004 | + "execution_count": 14, |
1013 | 1005 | "metadata": {}, |
1014 | 1006 | "output_type": "execute_result" |
1015 | 1007 | } |
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1036 | 1028 | }, |
1037 | 1029 | { |
1038 | 1030 | "cell_type": "code", |
1039 | | - "execution_count": 63, |
| 1031 | + "execution_count": 15, |
1040 | 1032 | "id": "92235235", |
1041 | 1033 | "metadata": {}, |
1042 | 1034 | "outputs": [], |
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1080 | 1072 | }, |
1081 | 1073 | { |
1082 | 1074 | "cell_type": "code", |
1083 | | - "execution_count": 64, |
| 1075 | + "execution_count": 26, |
1084 | 1076 | "id": "c6e2f863", |
1085 | 1077 | "metadata": { |
1086 | 1078 | "tags": [ |
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1091 | 1083 | { |
1092 | 1084 | "data": { |
1093 | 1085 | "application/vnd.jupyter.widget-view+json": { |
1094 | | - "model_id": "e9764c331c01480080a569ce775ae7b9", |
| 1086 | + "model_id": "d2c94fc9ffd24dc8ac06afd882cc5c5e", |
1095 | 1087 | "version_major": 2, |
1096 | 1088 | "version_minor": 0 |
1097 | 1089 | }, |
|
1128 | 1120 | }, |
1129 | 1121 | { |
1130 | 1122 | "cell_type": "code", |
1131 | | - "execution_count": 79, |
| 1123 | + "execution_count": 27, |
1132 | 1124 | "id": "a15c3b00", |
1133 | 1125 | "metadata": { |
1134 | 1126 | "tags": [ |
|
1139 | 1131 | { |
1140 | 1132 | "data": { |
1141 | 1133 | "application/vnd.jupyter.widget-view+json": { |
1142 | | - "model_id": "564c79bfd6c4454e94cb61b5225b0a2c", |
| 1134 | + "model_id": "74969aba433f437090c9874113b8b49e", |
1143 | 1135 | "version_major": 2, |
1144 | 1136 | "version_minor": 0 |
1145 | 1137 | }, |
|
1174 | 1166 | }, |
1175 | 1167 | { |
1176 | 1168 | "cell_type": "code", |
1177 | | - "execution_count": 80, |
| 1169 | + "execution_count": 28, |
1178 | 1170 | "id": "b8711a8b", |
1179 | 1171 | "metadata": { |
1180 | 1172 | "tags": [ |
|
1185 | 1177 | { |
1186 | 1178 | "data": { |
1187 | 1179 | "application/vnd.jupyter.widget-view+json": { |
1188 | | - "model_id": "5ae25bc69fda41e2adfcbcd51ffab732", |
| 1180 | + "model_id": "78915ba78d704dd69b04d0d101b8428c", |
1189 | 1181 | "version_major": 2, |
1190 | 1182 | "version_minor": 0 |
1191 | 1183 | }, |
|
1218 | 1210 | }, |
1219 | 1211 | { |
1220 | 1212 | "cell_type": "code", |
1221 | | - "execution_count": 67, |
| 1213 | + "execution_count": 19, |
1222 | 1214 | "id": "014b859e", |
1223 | 1215 | "metadata": { |
1224 | 1216 | "tags": [ |
|
1257 | 1249 | }, |
1258 | 1250 | { |
1259 | 1251 | "cell_type": "code", |
1260 | | - "execution_count": 75, |
| 1252 | + "execution_count": 30, |
1261 | 1253 | "id": "e6517e1a", |
1262 | 1254 | "metadata": { |
1263 | 1255 | "tags": [ |
|
1272 | 1264 | "#\n", |
1273 | 1265 | "# Show your animation to a TA for signoff, and explain what you did.\n", |
1274 | 1266 | "X_r_haywire = np.concatenate(([0, 5], [5.01, 5.5], [5.51, 6.0], [6.01, 11]))\n", |
1275 | | - "Y_r_haywire = np.concatenate(([0, 0], [0, 20], [20, 20], [1, 0])) #20 20 20" |
| 1267 | + "Y_r_haywire = np.concatenate(([0, 0], [0, 20], [20, 20], [1, 0])) #20 20 20 HUUUUGE BUMP IN THE ROAD" |
1276 | 1268 | ] |
1277 | 1269 | }, |
1278 | 1270 | { |
1279 | 1271 | "cell_type": "code", |
1280 | | - "execution_count": 81, |
| 1272 | + "execution_count": 31, |
1281 | 1273 | "id": "14e761f1", |
1282 | 1274 | "metadata": { |
1283 | 1275 | "tags": [ |
|
1288 | 1280 | { |
1289 | 1281 | "data": { |
1290 | 1282 | "application/vnd.jupyter.widget-view+json": { |
1291 | | - "model_id": "6c280ba1dbe046af845226d8b268f158", |
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1292 | 1284 | "version_major": 2, |
1293 | 1285 | "version_minor": 0 |
1294 | 1286 | }, |
|
1318 | 1310 | }, |
1319 | 1311 | { |
1320 | 1312 | "cell_type": "code", |
1321 | | - "execution_count": 70, |
| 1313 | + "execution_count": 22, |
1322 | 1314 | "id": "d5a16e0d", |
1323 | 1315 | "metadata": { |
1324 | 1316 | "tags": [ |
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1358 | 1350 | }, |
1359 | 1351 | { |
1360 | 1352 | "cell_type": "code", |
1361 | | - "execution_count": 71, |
| 1353 | + "execution_count": 23, |
1362 | 1354 | "id": "cd040c1e", |
1363 | 1355 | "metadata": { |
1364 | 1356 | "tags": [ |
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1378 | 1370 | }, |
1379 | 1371 | { |
1380 | 1372 | "cell_type": "code", |
1381 | | - "execution_count": 72, |
| 1373 | + "execution_count": 24, |
1382 | 1374 | "id": "9930d62c", |
1383 | 1375 | "metadata": { |
1384 | 1376 | "deletable": false, |
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1388 | 1380 | { |
1389 | 1381 | "data": { |
1390 | 1382 | "text/html": [ |
1391 | | - "<p><strong><pre style='display: inline;'>hours_collaborators</pre></strong> passed! 🙌</p>" |
| 1383 | + "<p><strong><pre style='display: inline;'>hours_collaborators</pre></strong> passed! 💯</p>" |
1392 | 1384 | ], |
1393 | 1385 | "text/plain": [ |
1394 | 1386 | "hours_collaborators results: All test cases passed!" |
1395 | 1387 | ] |
1396 | 1388 | }, |
1397 | | - "execution_count": 72, |
| 1389 | + "execution_count": 24, |
1398 | 1390 | "metadata": {}, |
1399 | 1391 | "output_type": "execute_result" |
1400 | 1392 | } |
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