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Endpoints","\u002Fconnector-development\u002Ftutorial\u002Fsila-endpoints\u002F","20.connector-development\u002F20.tutorial\u002F10.sila-endpoints",{"title":836,"path":837,"stem":838,"type":46,"device":6},"Data Endpoints","\u002Fconnector-development\u002Ftutorial\u002Fdata-endpoints\u002F","20.connector-development\u002F20.tutorial\u002F20.data-endpoints",{"title":840,"path":841,"stem":842,"type":46,"device":6},"Controls","\u002Fconnector-development\u002Ftutorial\u002Fcontrols\u002F","20.connector-development\u002F20.tutorial\u002F30.controls",{"title":844,"path":845,"stem":846,"type":46,"device":6},"SiLA Data Types","\u002Fconnector-development\u002Ftutorial\u002Fdata-types\u002F","20.connector-development\u002F20.tutorial\u002F40.data-types",{"title":848,"path":849,"stem":850,"type":46,"device":6},"Feature","\u002Fconnector-development\u002Ftutorial\u002Fconnector-structure\u002F","20.connector-development\u002F20.tutorial\u002F70.connector-structure",{"title":852,"path":853,"stem":854,"type":46,"device":6},"Hardware Communication","\u002Fconnector-development\u002Ftutorial\u002Fhardware-communication\u002F","20.connector-development\u002F20.tutorial\u002F90.hardware-communication",{"title":272,"type":6,"device":6,"path":856,"stem":857,"children":858,"page":41},"\u002Fconnector-development\u002Fconcepts\u002F","20.connector-development\u002F30.concepts",[859],{"title":860,"path":861,"stem":862,"type":285,"device":6},"SiLA","\u002Fconnector-development\u002Fconcepts\u002Fsila\u002F","20.connector-development\u002F30.concepts\u002Fsila",{"title":864,"path":865,"stem":866,"children":867,"page":41},"Guides","\u002Fconnector-development\u002Fguides\u002F","20.connector-development\u002F40.guides",[868,872,876,880,884,888,892,895,899],{"title":869,"path":870,"stem":871,"type":24,"device":6},"Configuration","\u002Fconnector-development\u002Fguides\u002Fconfiguration\u002F","20.connector-development\u002F40.guides\u002F20.configuration",{"title":873,"path":874,"stem":875,"type":24,"device":6},"Logging","\u002Fconnector-development\u002Fguides\u002Flogging\u002F","20.connector-development\u002F40.guides\u002F21.logging",{"title":877,"path":878,"stem":879,"type":24,"device":6},"Deployment","\u002Fconnector-development\u002Fguides\u002Fdeployment\u002F","20.connector-development\u002F40.guides\u002F30.deployment",{"title":881,"path":882,"stem":883,"type":24,"device":6},"Security","\u002Fconnector-development\u002Fguides\u002Fsecurity\u002F","20.connector-development\u002F40.guides\u002F40.security",{"title":885,"path":886,"stem":887,"type":24,"device":6},"Subscriptions","\u002Fconnector-development\u002Fguides\u002Fsubscriptions\u002F","20.connector-development\u002F40.guides\u002F45.subscriptions",{"title":889,"path":890,"stem":891,"type":24,"device":6},"Execution Modes","\u002Fconnector-development\u002Fguides\u002Fexecution-modes\u002F","20.connector-development\u002F40.guides\u002F46.execution-modes",{"title":380,"path":893,"stem":894,"type":24,"device":6},"\u002Fconnector-development\u002Fguides\u002Ferror-handling\u002F","20.connector-development\u002F40.guides\u002F50.error-handling",{"title":896,"path":897,"stem":898,"type":24,"device":6},"Serial Troubleshooting","\u002Fconnector-development\u002Fguides\u002Fserial-troubleshooting\u002F","20.connector-development\u002F40.guides\u002F70.serial-troubleshooting",{"title":900,"path":901,"stem":902,"type":24,"device":6},"Testing","\u002Fconnector-development\u002Fguides\u002Ftesting\u002F","20.connector-development\u002F40.guides\u002F80.testing",{"title":904,"path":905,"stem":906,"children":907,"type":6,"device":6},"References","\u002Fconnector-development\u002Freference\u002F","20.connector-development\u002F50.reference\u002Findex",[908],{"title":904,"path":905,"stem":906,"type":200,"device":6},{"id":910,"title":776,"body":911,"description":1778,"device":6,"extension":1779,"links":6,"meta":1780,"navigation":1052,"path":1781,"seo":1782,"stem":778,"type":200,"__hash__":1783},"docs\u002F07.labware\u002F30.tips-and-racks.md",{"type":912,"value":913,"toc":1774},"minimark",[914,919,933,936,939,952,972,984,1003,1017,1355,1358,1411,1415,1422,1439,1445,1448,1462,1465,1770],[915,916,918],"h2",{"id":917},"tips","Tips",[920,921,922,923,932],"p",{},"In this example we will use the ",[924,925,931],"a",{"href":926,"rel":927,"target":930},"https:\u002F\u002Fwww.hamiltoncompany.com\u002Fautomated-liquid-handling\u002Fdisposable-tips\u002F300-%CE%BCl-conductive-non-sterile-non-filter-tips",[928,929],"nofollow","noopener","_blank","Hamilton standard 300 μL conductive tips",".",[920,934,935],{},"We need the length, width, and height of the tip (x, y, z), as well as the fitting-depth in millimeters. Fitting depth, length and width are constant for all conventional Hamilton tips. Furthermore, we need the collar type to check for compatibility with the pipetting heads. Only the height and collar type can be extracted from the technical specification. The dimensions of the regular channels are 9x9 mm.",[920,937,938],{},"The tip in this example has the following parameters:",[940,941,942,946,949],"ul",{},[943,944,945],"li",{},"Length, width, height (mm): 9.0 mm, 9.0 mm, 59.9 mm",[943,947,948],{},"Fitting depth (mm): 8 mm",[943,950,951],{},"Collar type: STANDARD",[920,953,954,955,959,960,959,963,959,966,959,969,932],{},"Other collar types: ",[956,957,958],"code",{},"LOW_VOLUME",", ",[956,961,962],{},"HIGH_VOLUME",[956,964,965],{},"CORE_384_AXYGEN",[956,967,968],{},"XL",[956,970,971],{},"CORE_384_HAMILTON",[973,974,977],"callout",{"color":975,"icon":976},"info","i-heroicons-information-circle",[920,978,979,983],{},[980,981,982],"strong",{},"Finding tip parameters",": Most tip parameters are stored in the liquid handler vendor software. For Hamilton Venus, look in the Labware folder. You can also reach out to UniteLabs if you can't find the right dimensions.",[973,985,986],{"color":975,"icon":976},[920,987,988,991,992,959,995,998,999,1002],{},[980,989,990],{},"Version note",": Tip names changed in Labware SDK v0.22.0 \u002F LHSDK v0.22.0. Previous names such as ",[956,993,994],{},"StandardTip",[956,996,997],{},"LT250Tip",", and ",[956,1000,1001],{},"HighVolumeTip"," are deprecated but still work with a warning. Update your imports to the new names below to avoid deprecation warnings.",[973,1004,1007],{"color":1005,"icon":1006},"error","i-heroicons-shield-exclamation",[920,1008,1009,1012,1013,1016],{},[980,1010,1011],{},"Volume limits",": Make sure maximum volumes are correct. Over-aspirating may damage the pipetting channel. The ",[956,1014,1015],{},"max_volume"," field limits the liquid volume to be aspirated — it does not account for transport air or blowout air, which can cause the channel to exceed this limit if set incorrectly.",[1018,1019,1024],"pre",{"className":1020,"code":1021,"language":1022,"meta":1023,"style":1023},"language-python shiki shiki-themes github-light-high-contrast github-light-high-contrast github-dark-default","import dataclasses\nimport typing\n\nfrom unitelabs.labware import ComplexShape, Container, Decimal, Vector\nfrom unitelabs.labware.hamilton import CollarType, HamiltonTip\n\n\n@dataclasses.dataclass\nclass CustomHamiltonTip(HamiltonTip):\n    tip_type: typing.ClassVar[int] = 20\n    model: str = \"235902\"\n    dimensions: Vector = dataclasses.field(default_factory=lambda: Vector(x=9, y=9, z=59.9))\n    container: Container = dataclasses.field(\n        default_factory=lambda: Container(\n            max_volume=400,\n            sections=[ComplexShape(factor=36.3168, height=8), ComplexShape(factor=12.8596, height=52)],\n        )\n    )\n    has_filter: bool = False\n    fitting_depth: Decimal = dataclasses.field(default=Decimal(default=8))\n    collar_type: CollarType = CollarType.STANDARD\n","python","",[956,1025,1026,1039,1047,1054,1068,1081,1086,1091,1098,1118,1136,1152,1202,1213,1224,1238,1289,1295,1301,1315,1341],{"__ignoreMap":1023},[1027,1028,1031,1035],"span",{"class":1029,"line":1030},"line",1,[1027,1032,1034],{"class":1033},"sxkbv","import",[1027,1036,1038],{"class":1037},"sc-9e"," dataclasses\n",[1027,1040,1042,1044],{"class":1029,"line":1041},2,[1027,1043,1034],{"class":1033},[1027,1045,1046],{"class":1037}," typing\n",[1027,1048,1050],{"class":1029,"line":1049},3,[1027,1051,1053],{"emptyLinePlaceholder":1052},true,"\n",[1027,1055,1057,1060,1063,1065],{"class":1029,"line":1056},4,[1027,1058,1059],{"class":1033},"from",[1027,1061,1062],{"class":1037}," unitelabs.labware ",[1027,1064,1034],{"class":1033},[1027,1066,1067],{"class":1037}," ComplexShape, Container, Decimal, Vector\n",[1027,1069,1071,1073,1076,1078],{"class":1029,"line":1070},5,[1027,1072,1059],{"class":1033},[1027,1074,1075],{"class":1037}," unitelabs.labware.hamilton ",[1027,1077,1034],{"class":1033},[1027,1079,1080],{"class":1037}," CollarType, HamiltonTip\n",[1027,1082,1084],{"class":1029,"line":1083},6,[1027,1085,1053],{"emptyLinePlaceholder":1052},[1027,1087,1089],{"class":1029,"line":1088},7,[1027,1090,1053],{"emptyLinePlaceholder":1052},[1027,1092,1094],{"class":1029,"line":1093},8,[1027,1095,1097],{"class":1096},"s4qFZ","@dataclasses.dataclass\n",[1027,1099,1101,1104,1108,1111,1115],{"class":1029,"line":1100},9,[1027,1102,1103],{"class":1033},"class",[1027,1105,1107],{"class":1106},"sNqAu"," CustomHamiltonTip",[1027,1109,1110],{"class":1037},"(",[1027,1112,1114],{"class":1113},"sOiAX","HamiltonTip",[1027,1116,1117],{"class":1037},"):\n",[1027,1119,1121,1124,1127,1130,1133],{"class":1029,"line":1120},10,[1027,1122,1123],{"class":1037},"    tip_type: typing.ClassVar[",[1027,1125,1126],{"class":1113},"int",[1027,1128,1129],{"class":1037},"] ",[1027,1131,1132],{"class":1033},"=",[1027,1134,1135],{"class":1113}," 20\n",[1027,1137,1139,1142,1145,1148],{"class":1029,"line":1138},11,[1027,1140,1141],{"class":1037},"    model: ",[1027,1143,1144],{"class":1113},"str",[1027,1146,1147],{"class":1033}," =",[1027,1149,1151],{"class":1150},"sCx38"," \"235902\"\n",[1027,1153,1155,1158,1160,1163,1166,1169,1172,1175,1177,1180,1182,1185,1187,1189,1191,1194,1196,1199],{"class":1029,"line":1154},12,[1027,1156,1157],{"class":1037},"    dimensions: Vector ",[1027,1159,1132],{"class":1033},[1027,1161,1162],{"class":1037}," dataclasses.field(",[1027,1164,1165],{"class":1106},"default_factory",[1027,1167,1168],{"class":1033},"=lambda",[1027,1170,1171],{"class":1037},": Vector(",[1027,1173,1174],{"class":1106},"x",[1027,1176,1132],{"class":1033},[1027,1178,1179],{"class":1113},"9",[1027,1181,959],{"class":1037},[1027,1183,1184],{"class":1106},"y",[1027,1186,1132],{"class":1033},[1027,1188,1179],{"class":1113},[1027,1190,959],{"class":1037},[1027,1192,1193],{"class":1106},"z",[1027,1195,1132],{"class":1033},[1027,1197,1198],{"class":1113},"59.9",[1027,1200,1201],{"class":1037},"))\n",[1027,1203,1205,1208,1210],{"class":1029,"line":1204},13,[1027,1206,1207],{"class":1037},"    container: Container ",[1027,1209,1132],{"class":1033},[1027,1211,1212],{"class":1037}," dataclasses.field(\n",[1027,1214,1216,1219,1221],{"class":1029,"line":1215},14,[1027,1217,1218],{"class":1106},"        default_factory",[1027,1220,1168],{"class":1033},[1027,1222,1223],{"class":1037},": Container(\n",[1027,1225,1227,1230,1232,1235],{"class":1029,"line":1226},15,[1027,1228,1229],{"class":1106},"            max_volume",[1027,1231,1132],{"class":1033},[1027,1233,1234],{"class":1113},"400",[1027,1236,1237],{"class":1037},",\n",[1027,1239,1241,1244,1246,1249,1252,1254,1257,1259,1262,1264,1267,1270,1272,1274,1277,1279,1281,1283,1286],{"class":1029,"line":1240},16,[1027,1242,1243],{"class":1106},"            sections",[1027,1245,1132],{"class":1033},[1027,1247,1248],{"class":1037},"[ComplexShape(",[1027,1250,1251],{"class":1106},"factor",[1027,1253,1132],{"class":1033},[1027,1255,1256],{"class":1113},"36.3168",[1027,1258,959],{"class":1037},[1027,1260,1261],{"class":1106},"height",[1027,1263,1132],{"class":1033},[1027,1265,1266],{"class":1113},"8",[1027,1268,1269],{"class":1037},"), ComplexShape(",[1027,1271,1251],{"class":1106},[1027,1273,1132],{"class":1033},[1027,1275,1276],{"class":1113},"12.8596",[1027,1278,959],{"class":1037},[1027,1280,1261],{"class":1106},[1027,1282,1132],{"class":1033},[1027,1284,1285],{"class":1113},"52",[1027,1287,1288],{"class":1037},")],\n",[1027,1290,1292],{"class":1029,"line":1291},17,[1027,1293,1294],{"class":1037},"        )\n",[1027,1296,1298],{"class":1029,"line":1297},18,[1027,1299,1300],{"class":1037},"    )\n",[1027,1302,1304,1307,1310,1312],{"class":1029,"line":1303},19,[1027,1305,1306],{"class":1037},"    has_filter: ",[1027,1308,1309],{"class":1113},"bool",[1027,1311,1147],{"class":1033},[1027,1313,1314],{"class":1113}," False\n",[1027,1316,1318,1321,1323,1325,1328,1330,1333,1335,1337,1339],{"class":1029,"line":1317},20,[1027,1319,1320],{"class":1037},"    fitting_depth: Decimal ",[1027,1322,1132],{"class":1033},[1027,1324,1162],{"class":1037},[1027,1326,1327],{"class":1106},"default",[1027,1329,1132],{"class":1033},[1027,1331,1332],{"class":1037},"Decimal(",[1027,1334,1327],{"class":1106},[1027,1336,1132],{"class":1033},[1027,1338,1266],{"class":1113},[1027,1340,1201],{"class":1037},[1027,1342,1344,1347,1349,1352],{"class":1029,"line":1343},21,[1027,1345,1346],{"class":1037},"    collar_type: CollarType ",[1027,1348,1132],{"class":1033},[1027,1350,1351],{"class":1037}," CollarType.",[1027,1353,1354],{"class":1113},"STANDARD\n",[920,1356,1357],{},"To use the newly defined tip on a Hamilton liquid handler, it must be registered first:",[1018,1359,1361],{"className":1020,"code":1360,"language":1022,"meta":1023,"style":1023},"hamilton = MicrolabSTAR( ... )\ntip = CustomHamiltonTip()\nawait hamilton.api.define_tip(tip.tip_type, tip, pick_up_method=PickUpTipMethod.NORMAL)\n",[956,1362,1363,1379,1389],{"__ignoreMap":1023},[1027,1364,1365,1368,1370,1373,1376],{"class":1029,"line":1030},[1027,1366,1367],{"class":1037},"hamilton ",[1027,1369,1132],{"class":1033},[1027,1371,1372],{"class":1037}," MicrolabSTAR( ",[1027,1374,1375],{"class":1113},"...",[1027,1377,1378],{"class":1037}," )\n",[1027,1380,1381,1384,1386],{"class":1029,"line":1041},[1027,1382,1383],{"class":1037},"tip ",[1027,1385,1132],{"class":1033},[1027,1387,1388],{"class":1037}," CustomHamiltonTip()\n",[1027,1390,1391,1394,1397,1400,1402,1405,1408],{"class":1029,"line":1049},[1027,1392,1393],{"class":1033},"await",[1027,1395,1396],{"class":1037}," hamilton.api.define_tip(tip.tip_type, tip, ",[1027,1398,1399],{"class":1106},"pick_up_method",[1027,1401,1132],{"class":1033},[1027,1403,1404],{"class":1037},"PickUpTipMethod.",[1027,1406,1407],{"class":1113},"NORMAL",[1027,1409,1410],{"class":1037},")\n",[915,1412,1414],{"id":1413},"tip-racks","Tip Racks",[920,1416,1417,1418,1421],{},"A peculiarity about the tip rack is the negative z-offset of the ",[956,1419,1420],{},"TipSpot"," children. Instead of modeling the tips hanging in the tip rack, it is assumed that the tips stand on the virtual bottom of the tip rack.",[920,1423,1424,1427,1428,1431,1432,1434,1435,1438],{},[980,1425,1426],{},"How the z-offset is calculated:"," The height of the tip rack in this example is 20 mm. The height of a ",[956,1429,1430],{},"HamiltonTip_1000"," is 95.1 mm. The approach height for tip pick-up is 8.4 mm above the tip — placing the ",[956,1433,1420],{}," at 103.5 mm. Assuming the top of the tip levels out with the tip rack (20 mm high), the tip is 103.5 mm − 20 mm = ",[980,1436,1437],{},"−83.5 mm"," below the top of the rack.",[920,1440,1441,1442,1444],{},"The ",[956,1443,1420],{}," dimensions match the dimensions of the tip type the rack is designed for. Since the tip spot is 2-dimensional, the z-component can be set to 0 or omitted.",[920,1446,1447],{},"The following parameters were used in the example below:",[940,1449,1450,1453,1456,1459],{},[943,1451,1452],{},"Cols, rows: 12, 8",[943,1454,1455],{},"Length, width, height (mm): 122.4 mm, 82.6 mm, 20 mm",[943,1457,1458],{},"Tip spot A1 offsets (mm): 7.2 mm, 5.3 mm, −83.5 mm",[943,1460,1461],{},"Tip spot width, length, depth (mm): 9 mm, 9 mm, 0 mm",[920,1463,1464],{},"For Hamilton: All parameters except the x\u002Fy offsets of the tip spot can be found in the Venus labware file.",[1018,1466,1468],{"className":1020,"code":1467,"language":1022,"meta":1023,"style":1023},"import collections.abc\nimport dataclasses\n\nfrom unitelabs.labware import TipRack, TipSpot, Vector, place\n\n\n@dataclasses.dataclass\nclass HamiltonTipRack_1000(TipRack):\n    dimensions: Vector = dataclasses.field(default_factory=lambda: Vector(x=122.4, y=82.6, z=20.0))\n    rows: int = 8\n    cols: int = 12\n    children: collections.abc.Sequence[TipSpot] = dataclasses.field(\n        repr=False,\n        default_factory=lambda: [\n            TipSpot(dimensions=dimensions).copy(location=location)\n            for location, dimensions in place(\n                HamiltonTipRack_1000.cols,\n                HamiltonTipRack_1000.rows,\n                item=Vector(x=9.0, y=9.0, z=0),\n                boundary=Vector(x=122.4, y=82.6, z=0),\n                offset=Vector(z=-83.5),\n            )\n        ],\n    )\n",[956,1469,1470,1477,1483,1487,1498,1502,1506,1510,1524,1565,1577,1589,1598,1610,1619,1640,1654,1659,1664,1701,1734,1753,1759,1765],{"__ignoreMap":1023},[1027,1471,1472,1474],{"class":1029,"line":1030},[1027,1473,1034],{"class":1033},[1027,1475,1476],{"class":1037}," collections.abc\n",[1027,1478,1479,1481],{"class":1029,"line":1041},[1027,1480,1034],{"class":1033},[1027,1482,1038],{"class":1037},[1027,1484,1485],{"class":1029,"line":1049},[1027,1486,1053],{"emptyLinePlaceholder":1052},[1027,1488,1489,1491,1493,1495],{"class":1029,"line":1056},[1027,1490,1059],{"class":1033},[1027,1492,1062],{"class":1037},[1027,1494,1034],{"class":1033},[1027,1496,1497],{"class":1037}," TipRack, TipSpot, Vector, place\n",[1027,1499,1500],{"class":1029,"line":1070},[1027,1501,1053],{"emptyLinePlaceholder":1052},[1027,1503,1504],{"class":1029,"line":1083},[1027,1505,1053],{"emptyLinePlaceholder":1052},[1027,1507,1508],{"class":1029,"line":1088},[1027,1509,1097],{"class":1096},[1027,1511,1512,1514,1517,1519,1522],{"class":1029,"line":1093},[1027,1513,1103],{"class":1033},[1027,1515,1516],{"class":1106}," HamiltonTipRack_1000",[1027,1518,1110],{"class":1037},[1027,1520,1521],{"class":1113},"TipRack",[1027,1523,1117],{"class":1037},[1027,1525,1526,1528,1530,1532,1534,1536,1538,1540,1542,1545,1547,1549,1551,1554,1556,1558,1560,1563],{"class":1029,"line":1100},[1027,1527,1157],{"class":1037},[1027,1529,1132],{"class":1033},[1027,1531,1162],{"class":1037},[1027,1533,1165],{"class":1106},[1027,1535,1168],{"class":1033},[1027,1537,1171],{"class":1037},[1027,1539,1174],{"class":1106},[1027,1541,1132],{"class":1033},[1027,1543,1544],{"class":1113},"122.4",[1027,1546,959],{"class":1037},[1027,1548,1184],{"class":1106},[1027,1550,1132],{"class":1033},[1027,1552,1553],{"class":1113},"82.6",[1027,1555,959],{"class":1037},[1027,1557,1193],{"class":1106},[1027,1559,1132],{"class":1033},[1027,1561,1562],{"class":1113},"20.0",[1027,1564,1201],{"class":1037},[1027,1566,1567,1570,1572,1574],{"class":1029,"line":1120},[1027,1568,1569],{"class":1037},"    rows: ",[1027,1571,1126],{"class":1113},[1027,1573,1147],{"class":1033},[1027,1575,1576],{"class":1113}," 8\n",[1027,1578,1579,1582,1584,1586],{"class":1029,"line":1138},[1027,1580,1581],{"class":1037},"    cols: ",[1027,1583,1126],{"class":1113},[1027,1585,1147],{"class":1033},[1027,1587,1588],{"class":1113}," 12\n",[1027,1590,1591,1594,1596],{"class":1029,"line":1154},[1027,1592,1593],{"class":1037},"    children: collections.abc.Sequence[TipSpot] ",[1027,1595,1132],{"class":1033},[1027,1597,1212],{"class":1037},[1027,1599,1600,1603,1605,1608],{"class":1029,"line":1204},[1027,1601,1602],{"class":1106},"        repr",[1027,1604,1132],{"class":1033},[1027,1606,1607],{"class":1113},"False",[1027,1609,1237],{"class":1037},[1027,1611,1612,1614,1616],{"class":1029,"line":1215},[1027,1613,1218],{"class":1106},[1027,1615,1168],{"class":1033},[1027,1617,1618],{"class":1037},": [\n",[1027,1620,1621,1624,1627,1629,1632,1635,1637],{"class":1029,"line":1226},[1027,1622,1623],{"class":1037},"            TipSpot(",[1027,1625,1626],{"class":1106},"dimensions",[1027,1628,1132],{"class":1033},[1027,1630,1631],{"class":1037},"dimensions).copy(",[1027,1633,1634],{"class":1106},"location",[1027,1636,1132],{"class":1033},[1027,1638,1639],{"class":1037},"location)\n",[1027,1641,1642,1645,1648,1651],{"class":1029,"line":1240},[1027,1643,1644],{"class":1033},"            for",[1027,1646,1647],{"class":1037}," location, dimensions ",[1027,1649,1650],{"class":1033},"in",[1027,1652,1653],{"class":1037}," place(\n",[1027,1655,1656],{"class":1029,"line":1291},[1027,1657,1658],{"class":1037},"                HamiltonTipRack_1000.cols,\n",[1027,1660,1661],{"class":1029,"line":1297},[1027,1662,1663],{"class":1037},"                HamiltonTipRack_1000.rows,\n",[1027,1665,1666,1669,1671,1674,1676,1678,1681,1683,1685,1687,1689,1691,1693,1695,1698],{"class":1029,"line":1303},[1027,1667,1668],{"class":1106},"                item",[1027,1670,1132],{"class":1033},[1027,1672,1673],{"class":1037},"Vector(",[1027,1675,1174],{"class":1106},[1027,1677,1132],{"class":1033},[1027,1679,1680],{"class":1113},"9.0",[1027,1682,959],{"class":1037},[1027,1684,1184],{"class":1106},[1027,1686,1132],{"class":1033},[1027,1688,1680],{"class":1113},[1027,1690,959],{"class":1037},[1027,1692,1193],{"class":1106},[1027,1694,1132],{"class":1033},[1027,1696,1697],{"class":1113},"0",[1027,1699,1700],{"class":1037},"),\n",[1027,1702,1703,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732],{"class":1029,"line":1317},[1027,1704,1705],{"class":1106},"                boundary",[1027,1707,1132],{"class":1033},[1027,1709,1673],{"class":1037},[1027,1711,1174],{"class":1106},[1027,1713,1132],{"class":1033},[1027,1715,1544],{"class":1113},[1027,1717,959],{"class":1037},[1027,1719,1184],{"class":1106},[1027,1721,1132],{"class":1033},[1027,1723,1553],{"class":1113},[1027,1725,959],{"class":1037},[1027,1727,1193],{"class":1106},[1027,1729,1132],{"class":1033},[1027,1731,1697],{"class":1113},[1027,1733,1700],{"class":1037},[1027,1735,1736,1739,1741,1743,1745,1748,1751],{"class":1029,"line":1343},[1027,1737,1738],{"class":1106},"                offset",[1027,1740,1132],{"class":1033},[1027,1742,1673],{"class":1037},[1027,1744,1193],{"class":1106},[1027,1746,1747],{"class":1033},"=-",[1027,1749,1750],{"class":1113},"83.5",[1027,1752,1700],{"class":1037},[1027,1754,1756],{"class":1029,"line":1755},22,[1027,1757,1758],{"class":1037},"            )\n",[1027,1760,1762],{"class":1029,"line":1761},23,[1027,1763,1764],{"class":1037},"        ],\n",[1027,1766,1768],{"class":1029,"line":1767},24,[1027,1769,1300],{"class":1037},[1771,1772,1773],"style",{},"html pre.shiki code .sxkbv, html code.shiki .sxkbv{--shiki-light:#A0111F;--shiki-default:#A0111F;--shiki-dark:#FF7B72}html pre.shiki code .sc-9e, html code.shiki .sc-9e{--shiki-light:#0E1116;--shiki-default:#0E1116;--shiki-dark:#E6EDF3}html pre.shiki code .s4qFZ, html code.shiki .s4qFZ{--shiki-light:#622CBC;--shiki-default:#622CBC;--shiki-dark:#D2A8FF}html pre.shiki code .sNqAu, html code.shiki .sNqAu{--shiki-light:#702C00;--shiki-default:#702C00;--shiki-dark:#FFA657}html pre.shiki code .sOiAX, html code.shiki .sOiAX{--shiki-light:#023B95;--shiki-default:#023B95;--shiki-dark:#79C0FF}html pre.shiki code .sCx38, html code.shiki .sCx38{--shiki-light:#032563;--shiki-default:#032563;--shiki-dark:#A5D6FF}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: 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