From 6247c2dbd4a2d517c50c3a7f575c28387654bebf Mon Sep 17 00:00:00 2001 From: OOOO Date: Sun, 30 Jul 2023 18:42:49 +0000 Subject: [PATCH] =?UTF-8?q?XHG....=E2=B5=99=E1=94=93=E1=94=95=E1=97=B1?= =?UTF-8?q?=E1=97=B4=E1=99=81=E1=91=90=E1=91=95=E1=B4=A5=EA=96=B4=E1=91=90?= =?UTF-8?q?=E1=91=95=E2=B5=99=E2=9C=A4=D0=98N=E1=97=B1=E1=97=B4=E1=95=A4?= =?UTF-8?q?=E1=95=A6=D0=98N=E1=97=A9=E2=9C=A4=E2=B5=99=E1=99=81=E1=97=A9?= =?UTF-8?q?=EA=96=B4=E1=97=9D=E1=97=A9=E1=B4=A5=E2=8A=9A=E2=97=8C=E2=8A=9A?= =?UTF-8?q?=E2=97=8C=E2=8A=9A=E2=97=8C=E2=9A=AA=E2=B5=99=E2=97=AF=E2=B5=99?= =?UTF-8?q?=E2=97=AF=E2=B5=99=E2=9A=AA=E2=97=8C=E2=8A=9A=E2=97=8C=E2=8A=9A?= =?UTF-8?q?=E2=97=8C=E2=8A=9A=E1=B4=A5=E1=97=A9=E1=97=9D=EA=96=B4=E1=97=A9?= =?UTF-8?q?=E1=99=81=E2=B5=99=E2=9C=A4=E1=97=A9=D0=98N=E1=95=A4=E1=95=A6?= =?UTF-8?q?=E1=97=B1=E1=97=B4=D0=98N=E2=9C=A4=E2=B5=99=E1=91=90=E1=91=95?= =?UTF-8?q?=EA=96=B4=E1=B4=A5=E1=91=90=E1=91=95=E1=99=81=E1=97=B1=E1=97=B4?= =?UTF-8?q?=E1=94=93=E1=94=95=E2=B5=99....GHX?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit XHG....ⵙᔓᔕⵙᗱᗴⵙᙁⵙᑐᑕⵙᴥⵙꖴⵙᑐᑕⵙ◯ⵙ✤ⵙИNⵙᗱᗴⵙᕤᕦⵙИNⵙᗩⵙ✤ⵙ◯ⵙᙁⵙᗩⵙꖴⵙᗝⵙᗩⵙᴥⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙᴥⵙᗩⵙᗝⵙꖴⵙᗩⵙᙁⵙ◯ⵙ✤ⵙᗩⵙИNⵙᕤᕦⵙᗱᗴⵙИNⵙ✤ⵙ◯ⵙᑐᑕⵙꖴⵙᴥⵙᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX Signed-off-by: OOOO --- ...ᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX | 38124 ++++++++++++++++ 1 file changed, 38124 insertions(+) create mode 100644 ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG....ⵙᔓᔕⵙᗱᗴⵙᙁⵙᑐᑕⵙᴥⵙꖴⵙᑐᑕⵙ◯ⵙ✤ⵙИNⵙᗱᗴⵙᕤᕦⵙИNⵙᗩⵙ✤ⵙ◯ⵙᙁⵙᗩⵙꖴⵙᗝⵙᗩⵙᴥⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙᴥⵙᗩⵙᗝⵙꖴⵙᗩⵙᙁⵙ◯ⵙ✤ⵙᗩⵙИNⵙᕤᕦⵙᗱᗴⵙИNⵙ✤ⵙ◯ⵙᑐᑕⵙꖴⵙᴥⵙᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX diff --git a/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG....ⵙᔓᔕⵙᗱᗴⵙᙁⵙᑐᑕⵙᴥⵙꖴⵙᑐᑕⵙ◯ⵙ✤ⵙИNⵙᗱᗴⵙᕤᕦⵙИNⵙᗩⵙ✤ⵙ◯ⵙᙁⵙᗩⵙꖴⵙᗝⵙᗩⵙᴥⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙᴥⵙᗩⵙᗝⵙꖴⵙᗩⵙᙁⵙ◯ⵙ✤ⵙᗩⵙИNⵙᕤᕦⵙᗱᗴⵙИNⵙ✤ⵙ◯ⵙᑐᑕⵙꖴⵙᴥⵙᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG....ⵙᔓᔕⵙᗱᗴⵙᙁⵙᑐᑕⵙᴥⵙꖴⵙᑐᑕⵙ◯ⵙ✤ⵙИNⵙᗱᗴⵙᕤᕦⵙИNⵙᗩⵙ✤ⵙ◯ⵙᙁⵙᗩⵙꖴⵙᗝⵙᗩⵙᴥⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙᴥⵙᗩⵙᗝⵙꖴⵙᗩⵙᙁⵙ◯ⵙ✤ⵙᗩⵙИNⵙᕤᕦⵙᗱᗴⵙИNⵙ✤ⵙ◯ⵙᑐᑕⵙꖴⵙᴥⵙᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX new file mode 100644 index 00000000..9e41879b --- /dev/null +++ b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG....ⵙᔓᔕⵙᗱᗴⵙᙁⵙᑐᑕⵙᴥⵙꖴⵙᑐᑕⵙ◯ⵙ✤ⵙИNⵙᗱᗴⵙᕤᕦⵙИNⵙᗩⵙ✤ⵙ◯ⵙᙁⵙᗩⵙꖴⵙᗝⵙᗩⵙᴥⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙᴥⵙᗩⵙᗝⵙꖴⵙᗩⵙᙁⵙ◯ⵙ✤ⵙᗩⵙИNⵙᕤᕦⵙᗱᗴⵙИNⵙ✤ⵙ◯ⵙᑐᑕⵙꖴⵙᴥⵙᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX @@ -0,0 +1,38124 @@ + + + + + + + + 0 + 2 + 2 + + + + + + + 1 + 0 + 7 + + + + + + d3b98059-03da-4b8b-a57a-069658ce8766 + Shaded + 3 + + 255;199;199;199 + + + 255;84;84;84 + + + + + + 638252831365521843 + + XHG....ⵙᔓᔕⵙᗱᗴⵙᙁⵙᑐᑕⵙᴥⵙꖴⵙᑐᑕⵙ◯ⵙ✤ⵙИNⵙᗱᗴⵙᕤᕦⵙИNⵙᗩⵙ✤ⵙ◯ⵙᙁⵙᗩⵙꖴⵙᗝⵙᗩⵙᴥⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙᴥⵙᗩⵙᗝⵙꖴⵙᗩⵙᙁⵙ◯ⵙ✤ⵙᗩⵙИNⵙᕤᕦⵙᗱᗴⵙИNⵙ✤ⵙ◯ⵙᑐᑕⵙꖴⵙᴥⵙᑐᑕⵙᙁⵙᗱᗴⵙᔓᔕⵙ....GHX + + + + + 0 + + + + + + -2012 + 2942 + + 0.7955364 + + + + + 0 + + + + + + + 0 + + + + + 10 + + + + + Palette, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null + 1.0.0.0 + Michael Pryor + d94849ce-6c4d-4303-8ff4-765a58e82529 + Palette + + + + + + Bengesht, Version=3.3.0.0, Culture=neutral, PublicKeyToken=null + 3.3.0.0 + + 00000000-0000-0000-0000-000000000000 + + + + + + + Anemone, Version=0.4.0.0, Culture=neutral, PublicKeyToken=null + 0.4.0.0 + Mateusz Zwierzycki + 4442bb24-c702-460c-a1e4-fcdd321eb886 + Anemone + 0.4 + + + + + BullantGH, Version=1.5.8.0, Culture=neutral, PublicKeyToken=null + 1.5.8.0 + Geometry Gym Pty Ltd + 2cd3c35a-cada-1a81-ddba-5b184219e513 + BullAnt + + + + + + Bubalus_GH2, Version=2.1.5.0, Culture=neutral, PublicKeyToken=null + 2.1.5.0 + 月之眼(邓国超) && 好多猫(萧启明) + 8df4d222-85a2-467d-a510-b8dde333d730 + BubalusGH2.0 + 2.1.005 + + + + + GraphicPlus, Version=1.5.2.0, Culture=neutral, PublicKeyToken=null + 1.5.2.0 + David Mans + a48ac930-c378-48dc-84da-26b2af9d8302 + GraphicPlus + 1.2.0.0 + + + + + Pufferfish, Version=3.0.0.0, Culture=neutral, PublicKeyToken=null + 3.0.0.0 + Michael Pryor + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Pufferfish + 3.0.0.0 + + + + + Meshedit2000, Version=2.0.0.0, Culture=neutral, PublicKeyToken=null + 2.0.0.0 + [uto] + 14601aeb-b64f-9304-459d-d5d06df91218 + MeshEdit Components + 2.0.0.0 + + + + + NGonGh, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null + 1.0.0.0 + Petras Vestartas + 20563e24-568f-4f4f-b61b-71a1781ef92f + NGon + 2.3.0 + + + + + WeaverBird.Gh.CommonSdk, Version=0.9.0.1, Culture=neutral, PublicKeyToken=null + 0.9.0.1 + Piacentino + a4634196-add1-8181-6e78-09a045132c7c + Weaverbird + 0.9.0.1 + + + + + + + 279 + + + + + ac3c856d-819d-4565-a2cc-8d1cbdc05c97 + d94849ce-6c4d-4303-8ff4-765a58e82529 + Palette + + + + + Customize Grasshopper's GUI and toggle between your Custom GUI and Grasshopper's standard GUI. + true + cf580cd3-8c86-4628-8244-702ca09bb9a6 + Palette + Palette + + + + + + 190 + -1052 + 256 + 1344 + + + 432 + -380 + + + + + + True = Custom +False = Standard + 6a6c6aa9-0d90-44dd-a419-91bdcd0085fb + Mode(Custom/Standard) + Mode(Custom/Standard) + false + 0 + + + + + + 192 + -1050 + 228 + 20 + + + 306 + -1040 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + This input does nothing, it is just a spacer + c8adee2d-568a-431a-9a3b-65078c21d9d3 + Spacer + Spacer + true + 0 + + + + + + 192 + -1030 + 228 + 20 + + + 306 + -1020 + + + + + + + + Component_Normal_Deselected_Fill_Color + f6b959c6-305e-4556-851e-dfe3db8616ce + Component_Normal_Deselected_Fill_Color + Component_Normal_Deselected_Fill_Color + false + 5d9fa098-4495-4ddf-aeb5-b9e61060f110 + 1 + + + + + + 192 + -1010 + 228 + 20 + + + 306 + -1000 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;255;255;255 + + + + + + + + + + + + Component_Normal_Deselected_Edge_Color + 58f3f6bb-4870-4132-b2ed-38ba0cd16373 + Component_Normal_Deselected_Edge_Color + Component_Normal_Deselected_Edge_Color + false + b5a6a551-46d2-4806-81c1-4e694142c31a + 1 + + + + + + 192 + -990 + 228 + 20 + + + 306 + -980 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;201;201;201 + + + + + + + + + + + + Component_Normal_Deselected_Text_Color + 44b220b8-34dd-484a-947e-534161ff26b0 + 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095dd5d8-570e-49a2-8e67-cea92b6be7a3 + Component_Normal_Selected_Text_Color + Component_Normal_Selected_Text_Color + false + a5070296-591f-454e-b939-4e1ba45b08e2 + 1 + + + + + + 192 + -910 + 228 + 20 + + + 306 + -900 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;92;92;92 + + + + + + + + + + + + This input does nothing, it is just a spacer + d905c0b0-8e82-4b7f-8eba-51505c30c8e7 + Spacer + Spacer + true + 0 + + + + + + 192 + -890 + 228 + 20 + + + 306 + -880 + + + + + + + + Component_Hidden_Deselected_Fill_Color + 321957b9-2793-4637-848c-5ce91391c786 + Component_Hidden_Deselected_Fill_Color + Component_Hidden_Deselected_Fill_Color + false + 5d9fa098-4495-4ddf-aeb5-b9e61060f110 + 1 + + + + + + 192 + -870 + 228 + 20 + + + 306 + -860 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;255;255;255 + + + + + + + + + + + + Component_Hidden_Deselected_Edge_Color + 0a7dd4a1-56e3-4430-83fa-b6dee39ba5e2 + Component_Hidden_Deselected_Edge_Color + Component_Hidden_Deselected_Edge_Color + false + 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Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. + true + 99221558-1d03-4a99-b409-69b169a9610b + Evaluate Length + Evaluate Length + + + + + + 1039 + -1311 + 147 + 64 + + + 1122 + -1279 + + + + + + Curve to evaluate + 29f9dad1-4402-41bc-ba2f-1eec8727eebe + Curve + Curve + false + 2d532bea-994a-447d-9721-0833770a636f + 1 + + + + + + 1041 + -1309 + 69 + 20 + + + 1075.5 + -1299 + + + + + + + + Length factor for curve evaluation + a4cfa37b-ee2d-4f5f-86c7-9629ee0fed99 + Length + Length + false + 0 + + + + + + 1041 + -1289 + 69 + 20 + + + 1075.5 + -1279 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 68ce42a1-91e4-4e52-a706-aa12f3978a8c + Normalized + Normalized + false + 0 + + + + + + 1041 + -1269 + 69 + 20 + + + 1075.5 + -1259 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 9074b0db-ae1d-4390-9ca2-eb6042869d1c + Point + Point + false + 0 + + + + + + 1134 + 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e07df8e8-295a-4529-a447-e864247e8ff3 + Result + Result + false + 0 + + + + + + 2375 + -1772 + 31 + 40 + + + 2390.5 + -1752 + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 7f3a5c0f-427e-4293-9a10-5e3437c8c542 + Quick Graph + Quick Graph + false + 0 + 1c6f357f-2c34-48b5-9c31-6d29175af4bf + 1 + + + + + + 2363 + -1718 + 150 + 150 + + + 2363.224 + -1718 + + -1 + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + cf6dbb3d-3342-4cdb-b9ef-448dce9f06f7 + Remap Numbers + Remap Numbers + + + + + + 2114 + -1972 + 147 + 64 + + + 2207 + -1940 + + + + + + Value to remap + 5c74c48d-0ee8-4255-b3c0-05b192145913 + Value + Value + false + b15021d5-865c-476a-9920-3ae0864d99ee + 1 + + + + + + 2116 + -1970 + 79 + 20 + + + 2155.5 + -1960 + + + + + + + + Source domain + 4027e9d7-e190-4a3a-9a60-5847557011e2 + Source + Source + false + eb997057-5684-422c-b087-f6efe7811971 + 1 + + + + + + 2116 + -1950 + 79 + 20 + + + 2155.5 + -1940 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 46fd67c1-4f40-40f8-95a3-196cdc16700d + Target + Target + false + 0 + + + + + + 2116 + -1930 + 79 + 20 + + + 2155.5 + -1920 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0.5 + + + + + + + + + + + + Remapped number + 9fdbae57-81d4-471d-a8dc-43f40e00bf27 + Mapped + Mapped + false + 0 + + + + + + 2219 + -1970 + 40 + 30 + + + 2239 + -1955 + + + + + + + + Remapped and clipped number + 9bd5dbe0-b389-458e-8503-8197211efff6 + Clipped + Clipped + false + 0 + + + + + + 2219 + -1940 + 40 + 30 + + + 2239 + -1925 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 0c85e0a9-a4af-46cc-9140-5d559bfb67d6 + Bounds + Bounds + + + + + + 1995 + -1954 + 110 + 28 + + + 2053 + -1940 + + + + + + 1 + Numbers to include in Bounds + aa7fd7b1-93de-40eb-8e5b-df496864d5c2 + Numbers + Numbers + false + b15021d5-865c-476a-9920-3ae0864d99ee + 1 + + + + + + 1997 + -1952 + 44 + 24 + + + 2019 + -1940 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + eb997057-5684-422c-b087-f6efe7811971 + Domain + Domain + false + 0 + + + + + + 2065 + -1952 + 38 + 24 + + + 2084 + -1940 + + + + + + + + + + + + d1a28e95-cf96-4936-bf34-8bf142d731bf + Construct Domain + + + + + Create a numeric domain from two numeric extremes. + true + 74e82950-7e5d-4a91-869f-3a3292fb1a58 + Construct Domain + Construct Domain + + + + + + 1775 + -1889 + 143 + 44 + + + 1866 + -1867 + + + + + + Start value of numeric domain + a2bfe79f-a461-4f02-b943-8d6cbc0ade86 + Domain start + Domain start + false + 1f48380e-78c1-4878-9030-ae38073532b5 + 1 + + + + + + 1777 + -1887 + 77 + 20 + + + 1815.5 + -1877 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + End value of numeric domain + 73d17688-07c3-464b-93bf-86858c819223 + Domain end + Domain end + false + 0 + + + + + + 1777 + -1867 + 77 + 20 + + + 1815.5 + -1857 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Numeric domain between {A} and {B} + 8c9b5ccf-de38-4263-94a8-9085002de7e2 + Domain + Domain + false + 0 + + + + + + 1878 + -1887 + 38 + 40 + + + 1897 + -1867 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + a629a790-6f5a-4656-95c4-4293b46c7cbf + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 3 + + 16.000000000 + + + + + + 1606 + -1946 + 250 + 20 + + + 1606.266 + -1946 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 1f48380e-78c1-4878-9030-ae38073532b5 + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 2 + + 0.6000000000 + + + + + + 1469 + -1865 + 250 + 20 + + + 1469.458 + -1865 + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 7ebe48e6-e6b9-40be-bc7f-bf92e3c63165 + Bounds + Bounds + + + + + + 1712 + -1675 + 110 + 28 + + + 1770 + -1661 + + + + + + 1 + Numbers to include in Bounds + e7573b17-b513-41d1-99ad-a71466dc462d + Numbers + Numbers + false + c5c85527-549f-4b6d-b3bb-6729f376c233 + 1 + + + + + + 1714 + -1673 + 44 + 24 + + + 1736 + -1661 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + a81a41d6-4a5f-4635-a6b8-b2d1a58386e8 + Domain + Domain + false + 0 + + + + + + 1782 + -1673 + 38 + 24 + + + 1801 + -1661 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 9a7aadec-810b-4797-a20d-1799a2ee1ae1 + Deconstruct Domain + Deconstruct Domain + + + + + + 1803 + -1810 + 92 + 44 + + + 1855 + -1788 + + + + + + Base domain + e09e1b17-8400-47ee-a22d-67c8441fa0bb + Domain + Domain + false + a81a41d6-4a5f-4635-a6b8-b2d1a58386e8 + 1 + + + + + + 1805 + -1808 + 38 + 40 + + + 1824 + -1788 + + + + + + + + Start of domain + 422dbaec-8cf2-4118-b04e-712f5f84b1b0 + Start + Start + false + 0 + + + + + + 1867 + -1808 + 26 + 20 + + + 1880 + -1798 + + + + + + + + End of domain + 2837c5c8-3c45-4aff-a2bc-2397962e8edc + End + End + false + 0 + + + + + + 1867 + -1788 + 26 + 20 + + + 1880 + -1778 + + + + + + + + + + + + 93b8e93d-f932-402c-b435-84be04d87666 + Distance + + + + + Compute Euclidean distance between two point coordinates. + true + cc5c2207-dafd-45fa-99bb-c1a2798738b8 + Distance + Distance + + + + + + 1532 + -1612 + 108 + 44 + + + 1584 + -1590 + + + + + + First point + bd1ab6ad-1b37-4029-972d-caccbfa4e471 + Point A + Point A + false + 544bd1fa-0641-4bca-968b-578245bc09d1 + 1 + + + + + + 1534 + -1610 + 38 + 20 + + + 1553 + -1600 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second point + 29f6e553-cc5e-4974-a8f9-32b7336334ee + Point B + Point B + false + afacebcc-0961-4742-b2df-3abf869ab5ef + 1 + + + + + + 1534 + -1590 + 38 + 20 + + + 1553 + -1580 + + + + + + + + Distance between A and B + c5c85527-549f-4b6d-b3bb-6729f376c233 + Distance + Distance + false + 0 + + + + + + 1596 + -1610 + 42 + 40 + + + 1617 + -1590 + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 84f1803d-f26d-4700-9625-3b1c2cc0cbb8 + Quick Graph + Quick Graph + false + 0 + c5c85527-549f-4b6d-b3bb-6729f376c233 + 1 + + + + + + 1606 + -1825 + 150 + 150 + + + 1606.266 + -1825 + + -1 + + + + + + + + + 6b021f56-b194-4210-b9a1-6cef3b7d0848 + Evaluate Length + + + + + Evaluate a curve at a certain factor along its length. Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. + true + 308e3b77-bc71-4307-8714-814d8553e7cb + Evaluate Length + Evaluate Length + + + + + + 1872 + -1396 + 149 + 64 + + + 1957 + -1364 + + + + + + Curve to evaluate + 47b79dcd-8f66-4260-bfeb-381930200e54 + Curve + Curve + false + 5524857c-89f8-4b2c-ac53-ab50c0128d05 + 1 + + + + + + 1874 + -1394 + 71 + 20 + + + 1909.5 + -1384 + + + + + + + + Length factor for curve evaluation + b9db78d6-73db-44dd-a502-c5612355b5e3 + Length + Length + false + 0 + + + + + + 1874 + -1374 + 71 + 20 + + + 1909.5 + -1364 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 4e892d86-690d-4892-a530-ed7db9f90c65 + Normalized + Normalized + false + 0 + + + + + + 1874 + -1354 + 71 + 20 + + + 1909.5 + -1344 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + af44461f-37b2-4fe2-a269-d899c9e7147f + Point + Point + false + 0 + + + + + + 1969 + -1394 + 50 + 20 + + + 1994 + -1384 + + + + + + + + Tangent vector at the specified length + ecd45847-bc92-411f-aa2d-9854838399b7 + Tangent + Tangent + false + 0 + + + + + + 1969 + -1374 + 50 + 20 + + + 1994 + -1364 + + + + + + + + Curve parameter at the specified length + 80e640bc-f271-4c3b-85c1-a54f1e1d373e + Parameter + Parameter + false + 0 + + + + + + 1969 + -1354 + 50 + 20 + + + 1994 + -1344 + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + b07a33ca-fece-410a-a6ad-2875592745f2 + Quick Graph + Quick Graph + false + 0 + 9fdbae57-81d4-471d-a8dc-43f40e00bf27 + 1 + + + + + + 2310 + -2076 + 150 + 150 + + + 2310.112 + -2075.808 + + -1 + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 544bd1fa-0641-4bca-968b-578245bc09d1 + Point + Point + false + 0 + + + + + + 631 + -1007 + 143 + 24 + + + 762.1235 + -995.188 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0.353553390593274 + + + + + + + + + + + + + + 22990b1f-9be6-477c-ad89-f775cd347105 + Flip Curve + + + + + Flip a curve using an optional guide curve. + true + 683602b5-884d-4565-92ab-09638f726a72 + Flip Curve + Flip Curve + + + + + + 824 + -870 + 88 + 44 + + + 868 + -848 + + + + + + Curve to flip + 46c35632-c4a0-4b0e-bcc3-e09c135bb7a5 + Curve + Curve + false + 1ddd4f97-44f6-443b-bbfd-13253f781c25 + 1 + + + + + + 826 + -868 + 30 + 20 + + + 841 + -858 + + + + + + + + Optional guide curve + 46a2bb1b-09c8-4ae5-8adf-9416a24cef17 + Guide + Guide + true + 0 + + + + + + 826 + -848 + 30 + 20 + + + 841 + -838 + + + + + + + + Flipped curve + b4524b06-8e05-4cd1-8531-0d36de55dd62 + Curve + Curve + false + 0 + + + + + + 880 + -868 + 30 + 20 + + + 895 + -858 + + + + + + + + Flip action + 70c9ed20-56d6-472b-9557-55dbe086e3d9 + Flag + Flag + false + 0 + + + + + + 880 + -848 + 30 + 20 + + + 895 + -838 + + + + + + + + + + + + bb59bffc-f54c-4682-9778-f6c3fe74fce3 + Arc + + + + + Create an arc defined by base plane, radius and angle domain. + true + b47afabf-616a-4673-87df-c5201ad0b10c + Arc + Arc + + + + + + 983 + -907 + 187 + 81 + + + 1122 + -866 + + + + + + Base plane of arc + 10981c88-7313-411c-8fa1-ec2c25d4bdec + Plane + Plane + false + 0 + + + + + + 985 + -905 + 125 + 37 + + + 1047.5 + -886.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 0 + 1 + 0 + 1 + 0 + + + + + + + + + + + + Radius of arc + 506c805d-9bf0-4e36-bd85-e2d702fcd23f + Radius + Radius + false + 178a536c-e731-4a9e-8e69-148d3c49cc3d + 1 + + + + + + 985 + -868 + 125 + 20 + + + 1047.5 + -858 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Angle domain in radians + bea25ebd-cb7b-480b-90df-78b21a71488d + Angle + Angle + false + 0 + + + + + + 985 + -848 + 125 + 20 + + + 1047.5 + -838 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0.785398163397448 + + + + + + + + + + + + Resulting arc + 1a270909-0d55-4cb8-a28f-6c22882dba60 + Arc + Arc + false + 0 + + + + + + 1134 + -905 + 34 + 38 + + + 1151 + -885.75 + + + + + + + + Arc length + 3b4165c2-3ca9-4fbb-949a-615a11390a22 + Length + Length + false + 0 + + + + + + 1134 + -867 + 34 + 39 + + + 1151 + -847.25 + + + + + + + + + + + + 93b8e93d-f932-402c-b435-84be04d87666 + Distance + + + + + Compute Euclidean distance between two point coordinates. + true + b81203a1-bfb1-49ea-bc45-1e024c16a07d + Distance + Distance + + + + + + 993 + -969 + 177 + 44 + + + 1114 + -947 + + + + + + First point + 0970bb1f-52db-4ff9-b1ce-84d21e9f90d0 + Point A + Point A + false + 0 + + + + + + 995 + -967 + 107 + 20 + + + 1048.5 + -957 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second point + c10c7986-4c70-4ac1-bdc8-dde002ff3277 + Point B + Point B + false + 0e1e9828-40bc-487b-b3b3-22134e1758eb + 1 + + + + + + 995 + -947 + 107 + 20 + + + 1048.5 + -937 + + + + + + + + Distance between A and B + 2fa76128-f184-445b-8f9d-5426873e1f20 + Distance + Distance + false + 0 + + + + + + 1126 + -967 + 42 + 40 + + + 1147 + -947 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 4cf11d43-7186-4a7c-80ac-b5047dbd1ec5 + Rotate + Rotate + + + + + + 1226 + -988 + 240 + 81 + + + 1402 + -947 + + + + + + Base geometry + a280bb8c-a1b9-421c-a567-c9e1c7cfb01a + Geometry + Geometry + true + 1a270909-0d55-4cb8-a28f-6c22882dba60 + 1 + + + + + + 1228 + -986 + 162 + 20 + + + 1327 + -976 + + + + + + + + Rotation angle in degrees + 00fad922-87d1-45bb-a357-79de2481fbf7 + -360/X/2 + Angle + Angle + false + 2521b13e-bd87-411f-8135-7d6754f61478 + 1 + true + + + + + + 1228 + -966 + 162 + 20 + + + 1327 + -956 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5707963267948966 + + + + + + + + + + + Rotation plane + 0013e6fb-145e-4481-b32c-b1630363bcb2 + Plane + Plane + false + 0 + + + + + + 1228 + -946 + 162 + 37 + + + 1327 + -927.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 173bee08-a574-4b98-ad6f-a74fb75e29ab + Geometry + Geometry + false + 0 + + + + + + 1414 + -986 + 50 + 38 + + + 1439 + -966.75 + + + + + + + + Transformation data + 84299d7b-6eea-4d82-ae16-9ada37bc8233 + Transform + Transform + false + 0 + + + + + + 1414 + -948 + 50 + 39 + + + 1439 + -928.25 + + + + + + + + + + + + fca5ad7e-ecac-401d-a357-edda0a251cbc + Polar Array + + + + + Create a polar array of geometry. + true + 914fb575-3406-4bd7-b383-27e9d3cbd381 + Polar Array + Polar Array + + + + + + 1640 + -1070 + 204 + 101 + + + 1780 + -1019 + + + + + + Base geometry + 87b6fe2a-f8ad-4fed-8b44-6338d67e4e1d + Geometry + Geometry + true + 173bee08-a574-4b98-ad6f-a74fb75e29ab + 1 + + + + + + 1642 + -1068 + 126 + 20 + + + 1705 + -1058 + + + + + + + + Polar array plane + 07f9a682-2bf0-481c-b11c-a4046ffcdff1 + Plane + Plane + false + 0 + + + + + + 1642 + -1048 + 126 + 37 + + + 1705 + -1029.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + 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Length factors can be supplied both in curve units and normalized units. Change the [N] parameter to toggle between the two modes. + true + b831e3b3-12dd-4a3c-9daf-7853e012dd77 + Evaluate Length + Evaluate Length + + + + + + 1801 + -1460 + 147 + 64 + + + 1884 + -1428 + + + + + + Curve to evaluate + 7bd58288-31b0-4e79-8887-a3495b0d51dc + Curve + Curve + false + 322c6252-a086-4536-8a7c-443661ee7fbb + 1 + + + + + + 1803 + -1458 + 69 + 20 + + + 1837.5 + -1448 + + + + + + + + Length factor for curve evaluation + ebc75b1c-47b0-4333-a9e1-74b5c52853d0 + Length + Length + false + 0 + + + + + + 1803 + -1438 + 69 + 20 + + + 1837.5 + -1428 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + f0420490-adf5-48b7-92bb-c11aafc51f11 + Normalized + Normalized + false + 0 + + + + + + 1803 + -1418 + 69 + 20 + + + 1837.5 + -1408 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 20597847-d425-488d-a95f-40490d006c21 + Point + Point + false + 0 + + + + + + 1896 + -1458 + 50 + 20 + + + 1921 + -1448 + + + + + + + + Tangent vector at the specified length + a15828cb-b1a2-4944-97bf-a7db83b4b2ab + Tangent + Tangent + false + 0 + + + + + + 1896 + -1438 + 50 + 20 + + + 1921 + -1428 + + + + + + + + Curve parameter at the specified length + ea9f7660-fe5a-479d-99bb-f14f894efbca + Parameter + Parameter + false + 0 + + + + + + 1896 + -1418 + 50 + 20 + + + 1921 + -1408 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b2f0af6b-ef3c-4d66-832a-2b2cb977944f + Panel + + false + 0 + c5c85527-549f-4b6d-b3bb-6729f376c233 + 1 + Double click to edit panel content… + + + + + + 1489 + -1759 + 160 + 100 + + 0 + 0 + 0 + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + true + 2de25f56-06a2-4296-bab3-610e8c62c772 + List Item + List Item + + + + + + 1055 + -2428 + 77 + 64 + + + 1112 + -2396 + + + + + + 3 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 2e3ab970-8545-46bb-836c-1c11e5610bce + cb95db89-6165-43b6-9c41-5702bc5bf137 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 1 + Base list + 24eb9e5d-d244-409c-9ba6-6eb147c33417 + List + List + false + 0b50d645-5a3c-48d7-8e19-db43e51541ef + 1 + + + + + + 1057 + -2426 + 43 + 20 + + + 1078.5 + -2416 + + + + + + + + Item index + ed1c94c7-ff82-4abc-a48d-9c5ebfdc73a9 + Index + Index + false + 0 + + + + + + 1057 + -2406 + 43 + 20 + + + 1078.5 + -2396 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + f66c9926-90a6-4dcd-81b4-035bc4c31813 + Wrap + Wrap + false + 0 + + + + + + 1057 + -2386 + 43 + 20 + + + 1078.5 + -2376 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Item at {i'} + 7dc6f77f-de1d-455f-8fac-95e3c590d769 + false + Item + i + false + 0 + + + + + + 1124 + -2426 + 6 + 60 + + + 1127 + -2396 + + + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + true + 67da350f-5062-48a0-8878-37141beae543 + List Item + List Item + + + + + + 1089 + -2364 + 77 + 64 + + + 1146 + -2332 + + + + + + 3 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 2e3ab970-8545-46bb-836c-1c11e5610bce + cb95db89-6165-43b6-9c41-5702bc5bf137 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 1 + Base list + 44d24056-72a9-450f-842e-a021770b2cf1 + List + List + false + 0b50d645-5a3c-48d7-8e19-db43e51541ef + 1 + + + + + + 1091 + -2362 + 43 + 20 + + + 1112.5 + -2352 + + + + + + + + Item index + b6fecf9d-21ba-47dd-bce5-1eef2ff5478a + Index + Index + false + 0 + + + + + + 1091 + -2342 + 43 + 20 + + + 1112.5 + -2332 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Wrap index to list bounds + a826655f-9887-4ad5-bca4-62cd1c4425c6 + Wrap + Wrap + false + 0 + + + + + + 1091 + -2322 + 43 + 20 + + + 1112.5 + -2312 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Item at {i'} + 3c392036-bdd7-449a-bbcd-c7114c6a4acf + false + Item + i + false + 0 + + + + + + 1158 + -2362 + 6 + 60 + + + 1161 + -2332 + + + + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + cffeb002-23c5-4c67-806e-17471637c968 + Explode + Explode + + + + + + 1199 + -2428 + 134 + 44 + + + 1270 + -2406 + + + + + + Curve to explode + aa099c80-0e7f-4b2a-a673-b1e4838dfb0c + Curve + Curve + false + 7dc6f77f-de1d-455f-8fac-95e3c590d769 + 1 + + + + + + 1201 + -2426 + 57 + 20 + + + 1229.5 + -2416 + + + + + + + + Recursive decomposition until all segments are atomic + 8315c499-13e1-4169-96a6-8194c9938ab0 + Recursive + Recursive + false + 0 + + + + + + 1201 + -2406 + 57 + 20 + + + 1229.5 + -2396 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + 9812b8ff-82ab-4ba6-8174-d493c9f8858d + Segments + Segments + false + 0 + + + + + + 1282 + -2426 + 49 + 20 + + + 1306.5 + -2416 + + + + + + + + 1 + Vertices of the exploded segments + 017a1b57-96d6-4bb8-8f6b-d067dd4089ef + Vertices + Vertices + false + 0 + + + + + + 1282 + -2406 + 49 + 20 + + + 1306.5 + -2396 + + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + 0e32279a-8b40-4e73-831c-b1d3bf824f7e + Explode + Explode + + + + + + 1199 + -2354 + 134 + 44 + + + 1270 + -2332 + + + + + + Curve to explode + 52a920d8-a1a6-45aa-8308-28cb5c889713 + Curve + Curve + false + 3c392036-bdd7-449a-bbcd-c7114c6a4acf + 1 + + + + + + 1201 + -2352 + 57 + 20 + + + 1229.5 + -2342 + + + + + + + + Recursive decomposition until all segments are atomic + fa366d48-a051-4ce0-9922-2bb21cea153c + Recursive + Recursive + false + 0 + + + + + + 1201 + -2332 + 57 + 20 + + + 1229.5 + -2322 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + cccb3a8a-ea44-4018-96a7-1c2d770e70fc + Segments + Segments + false + 0 + + + + + + 1282 + -2352 + 49 + 20 + + + 1306.5 + -2342 + + + + + + + + 1 + Vertices of the exploded segments + 590ded34-157a-4284-8db0-b2edb651a253 + Vertices + Vertices + false + 0 + + + + + + 1282 + -2332 + 49 + 20 + + + 1306.5 + -2322 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + bf3a434d-958d-436e-a88f-d7e6ee225597 + Line + Line + + + + + + 1590 + -2318 + 102 + 44 + + + 1656 + -2296 + + + + + + Line start point + 67f68377-c9c8-474f-99bf-5cb268b4017b + Start Point + Start Point + false + 017a1b57-96d6-4bb8-8f6b-d067dd4089ef + 1 + + + + + + 1592 + -2316 + 52 + 20 + + + 1618 + -2306 + + + + + + + + Line end point + 178d5ce7-2417-4ed3-835c-13604b3e907c + End Point + End Point + false + 590ded34-157a-4284-8db0-b2edb651a253 + 1 + + + + + + 1592 + -2296 + 52 + 20 + + + 1618 + -2286 + + + + + + + + Line segment + 2900a17f-2392-4cf0-9eae-056e72f45708 + Line + Line + false + 0 + + + + + + 1668 + -2316 + 22 + 40 + + + 1679 + -2296 + + + + + + + + + + + + 3cadddef-1e2b-4c09-9390-0e8f78f7609f + Merge + + + + + Merge a bunch of data streams + true + c5d4070f-7095-449b-be28-2392e0d75083 + Merge + Merge + + + + + + 1611 + -2264 + 106 + 64 + + + 1656 + -2232 + + + + + + 3 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 2 + Data stream 1 + 22cd2f43-1eaa-44a3-a2fa-e6c632fd230c + false + Data 1 + D1 + true + 2900a17f-2392-4cf0-9eae-056e72f45708 + 1 + + + + + + 1613 + -2262 + 31 + 20 + + + 1628.5 + -2252 + + + + + + + + 2 + Data stream 2 + 6b82d181-27ea-4991-9dd9-2dd31a1445fd + false + Data 2 + D2 + true + 0b50d645-5a3c-48d7-8e19-db43e51541ef + 1 + + + + + + 1613 + -2242 + 31 + 20 + + + 1628.5 + -2232 + + + + + + + + 2 + Data stream 3 + 425865b4-7556-4909-a763-c00b01b416cd + false + Data 3 + D3 + true + 0 + + + + + + 1613 + -2222 + 31 + 20 + + + 1628.5 + -2212 + + + + + + + + 2 + Result of merge + 84f62d66-c794-4e01-88b0-d7c782365660 + 1 + Result + Result + false + 0 + + + + + + 1668 + -2262 + 47 + 60 + + + 1683.5 + -2232 + + + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + d2f6e134-3d92-4f7d-8ddb-94392acb5afc + Stream Filter + Stream Filter + + + + + + 1803 + -2297 + 77 + 64 + + + 1842 + -2265 + + + + + + 3 + 2e3ab970-8545-46bb-836c-1c11e5610bce + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Index of Gate stream + cc383567-c44d-423e-85b6-d4a808de1770 + Gate + Gate + false + 615fc4c4-3e54-4848-b429-40fe3517745c + 1 + + + + + + 1805 + -2295 + 25 + 20 + + + 1817.5 + -2285 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + a2b34e67-a52c-4ba7-a8eb-6c4fca4ded4b + false + Stream 0 + 0 + true + 2a732366-e703-4fb6-b7b8-5dfca8ec0b0b + 1 + + + + + + 1805 + -2275 + 25 + 20 + + + 1817.5 + -2265 + + + + + + + + 2 + Input stream at index 1 + 1060006f-c570-47a3-afd5-50f34918aa50 + false + Stream 1 + 1 + true + 84f62d66-c794-4e01-88b0-d7c782365660 + 1 + + + + + + 1805 + -2255 + 25 + 20 + + + 1817.5 + -2245 + + + + + + + + 2 + Filtered stream + 9f549e8b-da28-4ef0-9037-6651ef233c91 + false + Stream + S(1) + false + 0 + + + + + + 1854 + -2295 + 24 + 60 + + + 1866 + -2265 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 615fc4c4-3e54-4848-b429-40fe3517745c + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 1.0 + + + + + + 1668 + -2351 + 250 + 20 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b6802eb6-4e97-4344-b7db-26fc0d0211b0 + c5d4070f-7095-449b-be28-2392e0d75083 + d2f6e134-3d92-4f7d-8ddb-94392acb5afc + 615fc4c4-3e54-4848-b429-40fe3517745c + 4 + 6c3322de-de17-4535-88b4-127617ebb828 + Group + + + + + + + + + + + 28061aae-04fb-4cb5-ac45-16f3b66bc0a4 + Center Box + + + + + Create a box centered on a plane. + true + e733bff8-0944-4b49-811e-3662a0c888a2 + Center Box + Center Box + + + + + + -322 + -2982 + 153 + 101 + + + -204 + -2931 + + + + + + Base plane + b1b76dc8-3b28-45c0-ac15-b60206a4e740 + Base + Base + false + 0 + + + + + + -320 + -2980 + 104 + 37 + + + -268 + -2961.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Size of box in {x} direction. + 990e3a7f-9767-4d0e-9e6a-83d72088b08d + X + X + false + dff91164-6cdd-4af3-a199-b02e5517732b + 1 + + + + + + -320 + -2943 + 104 + 20 + + + -268 + -2933 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Size of box in {y} direction. + ecab77c5-ff6f-4a14-8da4-6e027a833346 + Y + Y + false + dff91164-6cdd-4af3-a199-b02e5517732b + 1 + + + + + + -320 + -2923 + 104 + 20 + + + -268 + -2913 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Size of box in {z} direction. + 7dac4e81-ec7e-4994-a6f4-be9a596c70af + Z + Z + false + dff91164-6cdd-4af3-a199-b02e5517732b + 1 + + + + + + -320 + -2903 + 104 + 20 + + + -268 + -2893 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Resulting box + 91a5b0c7-dfee-4bc6-af7c-f09c5843533d + Box + Box + false + 0 + + + + + + -192 + -2980 + 21 + 97 + + + -181.5 + -2931.5 + + + + + + + + + + + + c3f9cea5-6fd4-4db5-959b-08cd08ed9fe1 + Simple Mesh + + + + + Create a mesh that represents a Brep as simply as possible + true + fd36f8b6-9550-4977-9d49-9d3c8988c78f + Simple Mesh + Simple Mesh + + + + + + -149 + -2929 + 81 + 28 + + + -110 + -2915 + + + + + + Brep to mesh, only breps with triangle or quad faces are supported. + 6b9fad3e-1670-49a7-86b5-d456cf8f6ec5 + Brep + Brep + false + 32005ddf-d912-457f-bd9b-b1fc09e848f9 + 1 + + + + + + -147 + -2927 + 25 + 24 + + + -134.5 + -2915 + + + + + + + + Mesh + cf46acef-219b-41ef-b5e1-234dcc483a87 + Mesh + Mesh + false + 0 + + + + + + -98 + -2927 + 28 + 24 + + + -84 + -2915 + + + + + + + + + + + + 4098ec7a-819a-4ced-9ccc-86835d7e21c9 + a4634196-add1-8181-6e78-09a045132c7c + Weaverbird's Sierpinski Carpet + + + + + Computes a new mesh with higher genus, where each face has a new hole in the center. The resulting mesh always consists of quad faces. + +Provided by Weaverbird 0.9.0.1. + true + 0474891f-c0bc-46b4-8534-cef38e0eec2e + Weaverbird's Sierpinski Carpet + Weaverbird's Sierpinski Carpet + + + + + + -365 + -2812 + 196 + 64 + + + -227 + -2780 + + + + + + 1 + The mesh, or list of polylines, which will be processed. + 36f060ce-4279-4cf4-9180-d5014861c464 + Mesh/Polylines + Mesh/Polylines + false + cf46acef-219b-41ef-b5e1-234dcc483a87 + 1 + + + + + + -363 + -2810 + 124 + 20 + + + -301 + -2800 + + + + + + + + 1 + The scalar value used in the construction of the new internal vertices. +Distance can be set as list, where each value applies to the correspondent element in the input mesh. + 64be5ca3-845d-4220-b91a-18421ef69615 + Distance + Distance + true + 9b13767c-844c-4609-9d09-1f7df5812845 + 1 + + + + + + -363 + -2790 + 124 + 20 + + + -301 + -2780 + + + + + + 1 + + + + + 1 + {0} + + + + + 20 + + + + + + + + + + + Definition of distance for new vertices + +0: Percent. Percentual of the length of the edge (must be < 50). +1: Parallelogram. Parallelogram rule (value < than shortest edge length / 2). + fd6f9e8f-3be9-41dd-bae6-958f507f6fb5 + InsetType + InsetType + true + 0 + + + + + + -363 + -2770 + 124 + 20 + + + -301 + -2760 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + The mesh after the process + a45bc19e-ace0-4bd8-a7dd-2a03e559eb0c + OutMesh + OutMesh + false + 0 + + + + + + -215 + -2810 + 44 + 60 + + + -193 + -2780 + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + a121d3e1-fd53-47fa-bf6d-2e1a280cead1 + X/8 + Number + Number + false + 1ad19afc-2fb9-45ba-84cd-313848a58261 + 1 + + + + + + -342 + -2525 + 50 + 24 + + + -309 + -2513.456 + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + f543dd15-057c-4a82-ba96-69a0a35a257e + Division + Division + + + + + + -211 + -2687 + 90 + 44 + + + -166 + -2665 + + + + + + Item to divide (dividend) + f8ef4bf7-68e1-45a4-8677-84f807b7f3ec + A + A + false + 0 + + + + + + -209 + -2685 + 31 + 20 + + + -193.5 + -2675 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_String + false + 100 + + + + + + + + + + + Item to divide with (divisor) + 518e3cea-a84e-4a5e-95c4-94b4a12bf57f + B + B + false + 45e68db7-4495-4662-ad20-8e18cd02abcd + 1 + + + + + + -209 + -2665 + 31 + 20 + + + -193.5 + -2655 + + + + + + + + The result of the Division + 9b13767c-844c-4609-9d09-1f7df5812845 + Result + Result + false + 0 + + + + + + -154 + -2685 + 31 + 40 + + + -138.5 + -2665 + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + dff91164-6cdd-4af3-a199-b02e5517732b + Number + Number + false + 9420d9cb-24fd-4544-b739-d58d4919425c + 1 + + + + + + -457 + -2750 + 50 + 24 + + + -432 + -2738 + + + + + + + + + + 439a55a5-2f9e-4f66-9de2-32f24fec2ef5 + Plane Surface + + + + + Create a plane surface + true + 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