From 992c98c2902d906cd58febd4103664a2e12cb834 Mon Sep 17 00:00:00 2001 From: OOOO Date: Mon, 7 Aug 2023 05:03:04 +0000 Subject: [PATCH] =?UTF-8?q?XHG.......=E2=B5=99=E2=88=B7=EA=9E=89=E2=B5=94?= =?UTF-8?q?=C2=B7=E2=8A=9A=EA=9E=89=E1=97=B1=E1=97=B4=E1=97=AF=E1=B4=A5?= =?UTF-8?q?=E1=91=8E=E1=91=90=E1=91=95=D0=98N=E2=93=84=EA=96=B4=E2=9C=A4?= =?UTF-8?q?=EA=96=B4=E1=94=93=E1=94=95=D0=98N=E1=97=A9=E1=B4=A5=E2=9C=A4?= =?UTF-8?q?=EA=97=B3=E1=99=81=E1=97=B1=E1=97=B4=E1=94=93=E1=94=95=E1=99=81?= =?UTF-8?q?=E1=97=A9=E1=97=B1=E1=97=B4=E1=97=9D=EA=96=B4=E2=B5=99=EA=96=B4?= =?UTF-8?q?=E1=97=9D=E1=97=B1=E1=97=B4=E1=97=A9=E1=99=81=E1=94=93=E1=94=95?= =?UTF-8?q?=E1=97=B1=E1=97=B4=E1=99=81=EA=97=B3=E2=9C=A4=E1=B4=A5=E1=97=A9?= =?UTF-8?q?=D0=98N=E1=94=93=E1=94=95=EA=96=B4=E2=9C=A4=EA=96=B4=E2=93=84?= =?UTF-8?q?=D0=98N=E1=91=90=E1=91=95=E1=91=8E=E1=B4=A5=E1=97=AF=E1=97=B1?= =?UTF-8?q?=E1=97=B4=EA=9E=89=E2=8A=9A=C2=B7=E2=B5=94=EA=9E=89=E2=88=B7?= =?UTF-8?q?=E2=B5=99.......GHX?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit XHG.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......GHX Signed-off-by: OOOO --- .../◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......GHX | 64115 ++++++++++++++++ 1 file changed, 64115 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.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......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.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......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.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......GHX new file mode 100644 index 00000000..c576bfac --- /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.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......GHX @@ -0,0 +1,64115 @@ + + + + + + + + 0 + 2 + 2 + + + + + + + 1 + 0 + 7 + + + + + + d3b98059-03da-4b8b-a57a-069658ce8766 + Shaded + 3 + + 255;196;196;196 + + + 255;156;156;156 + + + + + + 638252831365521843 + + XHG.......ⵙ∷ⵙ꞉ⵙⵔⵙ·ⵙ⊚ⵙ꞉ⵙ◯ⵙᗱᗴⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙИNⵙⓄⵙꖴⵙ✤ⵙꖴⵙᔓᔕⵙИNⵙᗩⵙᴥⵙ✤ⵙ◯ⵙꗳⵙᙁⵙᗱᗴⵙᔓᔕⵙ◯ⵙᙁⵙᗩⵙᗱᗴⵙᗝⵙꖴⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⚪ⵙ◯ⵙ◯ⵙ⚪ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙ◌ⵙ⊚ⵙꖴⵙᗝⵙᗱᗴⵙᗩⵙᙁⵙ◯ⵙᔓᔕⵙᗱᗴⵙᙁⵙꗳⵙ◯ⵙ✤ⵙᴥⵙᗩⵙИNⵙᔓᔕⵙꖴⵙ✤ⵙꖴⵙⓄⵙИNⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗱᗴⵙ◯ⵙ꞉ⵙ⊚ⵙ·ⵙⵔⵙ꞉ⵙ∷ⵙ.......GHX + + + + + 0 + + + + + + 98 + 399 + + 0.05292158 + + + + + 0 + + + + + + + 0 + + + + + 5 + + + + + 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 + + + + + + + Heteroptera, Version=0.7.3.0, Culture=neutral, PublicKeyToken=null + 0.7.3.0 + Amin Bahrami [Studio Helioripple] + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + Heteroptera + 0.7.3.4 + + + + + Anemone, Version=0.4.0.0, Culture=neutral, PublicKeyToken=null + 0.4.0.0 + Mateusz Zwierzycki + 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03636d62-1370-4942-88f4-857a65464d92 + true + Direction + Direction + false + 06921a77-02a5-44a5-ab76-62a2ec504ada + 1 + + + + + + 411 + -5954 + 129 + 20 + + + 483.5 + -5944 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 71e8a980-e875-42d1-82e8-80286c8cbc52 + -X + true + Length + Length + false + 0 + + + + + + 411 + -5934 + 129 + 20 + + + 483.5 + -5924 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + b317086f-b6bc-47a5-ac87-3e7d34547ac2 + true + Line + Line + false + 0 + + + + + + 564 + -5974 + 22 + 60 + + + 575 + -5944 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 391756f9-4358-45d1-936e-c496ba6104e0 + true + Create Material + Create Material + + + + + + 447 + -6100 + 152 + 104 + + + 545 + -6048 + + + + + + Colour of the diffuse channel + 99cd1941-02ef-4b60-9081-2924d6df2987 + true + Diffuse + Diffuse + false + 0 + + + + + + 449 + 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Length factors can be supplied both in curve units and normalized units. 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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 + 606ca8c5-66bd-428f-8cb7-fd6eb00aa1b3 + Evaluate Length + Evaluate Length + + + + + + 1271 + -941 + 149 + 64 + + + 1356 + -909 + + + + + + Curve to evaluate + 1c024430-9c34-4d16-8301-93119a108f0a + Curve + Curve + false + 14ec1382-b570-4ef8-99b7-e60c8326e39d + 1 + + + + + + 1273 + -939 + 71 + 20 + + + 1308.5 + -929 + + + + + + + + Length factor for curve evaluation + 7500abe9-f2cc-47c8-aa3e-b65a2e09ab78 + Length + Length + false + 0 + + + + + + 1273 + -919 + 71 + 20 + + + 1308.5 + -909 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + d486e061-286c-42bc-9138-3989847fb280 + Normalized + Normalized + false + 0 + + + + + + 1273 + -899 + 71 + 20 + + + 1308.5 + -889 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 9a4e5cd1-079f-4046-81ea-caf4fddeeedf + Point + Point + false + 0 + + + + + + 1368 + -939 + 50 + 20 + + + 1393 + -929 + + + + + + + + Tangent vector at the specified length + 34d58739-aac2-406b-928c-b9b6d6a12ce2 + Tangent + Tangent + false + 0 + + + + + + 1368 + -919 + 50 + 20 + + + 1393 + -909 + + + + + + + + Curve parameter at the specified length + db69d6e6-0b87-422d-abd7-da897b9067fb + Parameter + Parameter + false + 0 + + + + + + 1368 + -899 + 50 + 20 + + + 1393 + -889 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + f4e55ef7-e921-423d-a4b9-a32406e60f0f + Rotate + Rotate + + + + + + 1275 + -1429 + 226 + 81 + + + 1437 + -1388 + + + + + + Base geometry + f0991e2a-9a9e-42a0-a3bd-3231d66c8297 + Geometry + Geometry + true + c480a418-7b92-41a4-8e6c-a45c5205253c + 1 + + + + + + 1277 + -1427 + 148 + 20 + + + 1359 + -1417 + + + + + + + + Rotation angle in degrees + 2f555c56-80f7-4ed0-b440-c396bef5c3b1 + Angle + Angle + false + c03c099b-a7c6-4d23-b175-ab5fab635ab4 + 1 + true + + + + + + 1277 + -1407 + 148 + 20 + + + 1359 + -1397 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5707963267948966 + + + + + + + + + + + Rotation plane + e5b0498c-53e3-4a85-af16-895e00fef36c + Plane + Plane + false + 0 + + + + + + 1277 + -1387 + 148 + 37 + + + 1359 + -1368.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + b58cf43f-a267-47e8-9e9a-1f80643adde8 + Geometry + Geometry + false + 0 + + + + + + 1449 + -1427 + 50 + 38 + + + 1474 + -1407.75 + + + + + + + + Transformation data + fb70e5fa-bedf-456b-a274-6740af642011 + Transform + Transform + false + 0 + + + + + + 1449 + -1389 + 50 + 39 + + + 1474 + -1369.25 + + + + + + + + + + + + b464fccb-50e7-41bd-9789-8438db9bea9f + Angle + + + + + Compute the angle between two vectors. + true + 0f531a0c-f65f-4de1-82f9-e765c8b1ce3c + Angle + Angle + + + + + + 1290 + -1341 + 197 + 81 + + + 1426 + -1300 + + + + + + First vector + 75939b2f-0f4a-4ea1-9ae5-89a2a2c178c3 + Vector A + Vector A + false + 948413de-ddd1-4364-91d2-1aff1940aa31 + 1 + + + + + + 1292 + -1339 + 122 + 20 + + + 1353 + -1329 + + + + + + + + Second vector + 7657460d-f1de-4b0f-a801-cc60487e4863 + Vector B + Vector B + false + 0 + + + + + + 1292 + -1319 + 122 + 20 + + + 1353 + -1309 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Optional plane for 2D angle + 8e0214cf-5a1d-4edc-95c8-61d9944f00b5 + Plane + Plane + true + 0 + + + + + + 1292 + -1299 + 122 + 37 + + + 1353 + -1280.5 + + + + + + + + Angle (in radians) between vectors + c03c099b-a7c6-4d23-b175-ab5fab635ab4 + -DEG(X) + Angle + Angle + false + 0 + + + + + + 1438 + -1339 + 47 + 38 + + + 1453.5 + -1319.75 + + + + + + + + Reflex angle (in radians) between vectors + a3ef210c-24d5-4e3c-befe-58ae1552ec11 + Reflex + Reflex + false + 0 + + + + + + 1438 + -1301 + 47 + 39 + + + 1453.5 + -1281.25 + + + + + + + + + + + + 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 + b05ed285-f920-4459-87d9-4dcbc561ad6f + Evaluate Length + Evaluate Length + + + + + + 1328 + -1257 + 149 + 64 + + + 1413 + -1225 + + + + + + Curve to evaluate + 4c4cdfb8-b781-4a19-b6bd-1eb1ae6ca26c + Curve + Curve + false + c480a418-7b92-41a4-8e6c-a45c5205253c + 1 + + + + + + 1330 + -1255 + 71 + 20 + + + 1365.5 + -1245 + + + + + + + + Length factor for curve evaluation + d1398e04-87cd-40dc-aff8-f9277e343c0a + Length + Length + false + 0 + + + + + + 1330 + -1235 + 71 + 20 + + + 1365.5 + -1225 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + c6ff7eb8-5ed0-4cfa-80b5-1e98b85fb9c7 + Normalized + Normalized + false + 0 + + + + + + 1330 + -1215 + 71 + 20 + + + 1365.5 + -1205 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 599b7afd-dc58-401b-b9c6-a7d163a195a1 + Point + Point + false + 0 + + + + + + 1425 + -1255 + 50 + 20 + + + 1450 + -1245 + + + + + + + + Tangent vector at the specified length + 948413de-ddd1-4364-91d2-1aff1940aa31 + Tangent + Tangent + false + 0 + + + + + + 1425 + -1235 + 50 + 20 + + + 1450 + -1225 + + + + + + + + Curve parameter at the specified length + 8fb8bb53-380e-4b9f-9038-d66ea2e8d722 + Parameter + Parameter + false + 0 + + + + + + 1425 + -1215 + 50 + 20 + + + 1450 + -1205 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + addfb0aa-2359-4428-8ddf-f66d8b9d07a5 + Panel + X + false + 0 + 5a6cef5c-7428-4a9f-b1a0-d2ef28a0e749 + 1 + + + + + + + 852 + -379 + 194 + 40 + + 0 + 0 + 0 + + 852.9645 + -378.7256 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0e01196e-344a-4efb-b4f6-56abfc1a0ad6 + Panel + Y + false + 0 + 60b392d6-8fb9-4b62-8594-808f81fe6f3b + 1 + + + + + + + 1072 + -60 + 194 + 40 + + 0 + 0 + 0 + + 1072.541 + -59.86125 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + 3b61006c-c85c-4ef7-91d4-73045e807f9f + One Over X + One Over X + + + + + + 1193 + -142 + 88 + 28 + + + 1236 + -128 + + + + + + Input value + c89e8e1f-8b0d-4358-b121-6c8f6e23e90f + Value + Value + false + 6d3f9f9a-f57e-4854-bee7-99c12bfb0de8 + 1 + + + + + + 1195 + -140 + 29 + 24 + + + 1209.5 + -128 + + + + + + + + Output value + f928b4e1-c43f-4b19-8907-59137d64cd77 + Result + Result + false + 0 + + + + + + 1248 + -140 + 31 + 24 + + + 1263.5 + -128 + + + + + + + + + + + + 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 + d59b6b9a-832f-4f1f-8be7-bb55b8fad88c + Evaluate Length + Evaluate Length + + + + + + 1323 + -1607 + 149 + 64 + + + 1408 + -1575 + + + + + + Curve to evaluate + e70f0f2b-95f9-4040-b5f9-dd6038a76567 + Curve + Curve + false + 65dd17ea-eac5-4ec2-a76c-a6001d9921c7 + 1 + + + + + + 1325 + -1605 + 71 + 20 + + + 1360.5 + -1595 + + + + + + + + Length factor for curve evaluation + c0726cdb-cb28-444a-bcdc-c0fe2329460d + Length + Length + false + 0 + + + + + + 1325 + -1585 + 71 + 20 + + + 1360.5 + -1575 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 1d0b6b42-adaf-486d-aaa4-753815696b4c + Normalized + Normalized + false + 0 + + + + + + 1325 + -1565 + 71 + 20 + + + 1360.5 + -1555 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 13781004-33cd-4faf-a5ff-8f57a2815ff8 + Point + Point + false + 0 + + + + + + 1420 + 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1 + + + + + + + 1400 + 96 + 97 + 40 + + 0 + 0 + 0 + + 1400.306 + 96.41949 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 78309d6b-b193-47b1-808d-be817299073c + Digit Scroller + INCREASE BEND PER SEGMENT + false + 0 + + + + + 12 + INCREASE BEND PER SEGMENT + 1 + + 0.77246531995 + + + + + + 1270 + 58 + 250 + 20 + + + 1270.93 + 58.32095 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2ffb9bf8-04bb-43ad-870c-27cb8a977834 + b281d2be-84b4-47dc-8ace-27a3ac332b9e + b25143b9-9232-4aca-8ca0-a057cea222b4 + 606ca8c5-66bd-428f-8cb7-fd6eb00aa1b3 + 14ec1382-b570-4ef8-99b7-e60c8326e39d + 9e6f10a3-bd36-4964-aad1-24a4ce2b7179 + 6 + fbe0ec2d-15dc-432f-8456-cebcbccffd3e + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f4e55ef7-e921-423d-a4b9-a32406e60f0f + 0f531a0c-f65f-4de1-82f9-e765c8b1ce3c + b05ed285-f920-4459-87d9-4dcbc561ad6f + c480a418-7b92-41a4-8e6c-a45c5205253c + 04c74da6-9a7f-43a4-9219-a0080f87dff0 + 5 + 985e3e1d-42b8-4c5b-a7de-d49ab6853df8 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f601c683-1f7c-4ae0-b011-4d536c07718c + Panel + + false + 0 + 0 + 0.87246531994281165 + + + + + + 1178 + 68 + 112 + 55 + + 0 + 0 + 0 + + 1178.065 + 68.78601 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e260ab68-7da2-413f-838e-44a5912eea1f + Panel + + false + 0 + 0 + 12 0.77246531994281165 + + + + + + 1154 + 157 + 122 + 55 + + 0 + 0 + 0 + + 1154.766 + 157.1919 + + + + + + + 255;255;255;255 + + false + false + true + false + false + 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If no items are supplied, nulls will be inserted. + 4bb43bf3-e12e-4263-b939-300388bcd733 + true + Item + Item + true + 0 + + + + + + -1226 + 1307 + 69 + 20 + + + -1191.5 + 1317 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_String + false + {0,0,0} + + + + + + + + + + + 1 + Insertion index for each item + d132512c-df0e-4cea-adf6-64adc66785ef + true + Indices + Indices + false + 0 + + + + + + -1226 + 1327 + 69 + 20 + + + -1191.5 + 1337 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + If true, indices will be wrapped + 19cdb848-7b1b-45ad-9cbb-9962ae417d81 + true + Wrap + Wrap + false + 0 + + + + + + -1226 + 1347 + 69 + 20 + + + -1191.5 + 1357 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + List with inserted values + 46348972-5a47-4f96-ac33-83a9684d9844 + true + List + List + false + 0 + + + + + + -1133 + 1287 + 19 + 80 + + + -1123.5 + 1327 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + 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+ 0 + 0 + 0 + + 3967.912 + -249 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + O/4^(OO-4) + true + 920386d7-a4f5-49ac-8d98-ae8582f6761e + Expression + Expression + + + + + + 3991 + -144 + 157 + 44 + + + 4064 + -122 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 511d663a-aa32-4d79-912e-51e8980f1ed2 + Variable O + O + true + ec5f2614-0df0-4917-890c-da4bd44522a5 + 1 + + + + + + 3993 + -142 + 19 + 20 + + + 4002.5 + -132 + + + + + + + + Expression variable + 1d00cae8-9902-4fdf-aca2-0493d9f13b2b + Variable OO + OO + true + d9e00b4e-988b-46b7-83ed-23e855867e23 + 1 + + + + + + 3993 + -122 + 19 + 20 + + + 4002.5 + -112 + + + + + + + + Result of expression + 87eb8849-af2f-42d1-b625-11ad905beff4 + Result + Result + false + 0 + + + + + + 4115 + -142 + 31 + 40 + + + 4130.5 + -122 + + + + + + + + + + + + + + 7ab8d289-26a2-4dd4-b4ad-df5b477999d8 + Log N + + + + + Return the N-base logarithm of a number. + true + 53b53895-a6e0-450a-8894-4abe407a28d4 + Log N + Log N + + + + + + 3959 + -38 + 115 + 44 + + + 4029 + -16 + + + + + + Value + 4462301e-7bb2-46e5-acd4-99fa1c621c66 + Number + Number + false + 1e02c87b-f332-4fb0-8d48-6d02635e8746 + 1 + + + + + + 3961 + -36 + 56 + 20 + + + 3989 + -26 + + + + + + + + Logarithm base + 3b9b4efb-53fa-4d48-94df-799620521055 + Base + Base + false + 0 + + + + + + 3961 + -16 + 56 + 20 + + + 3989 + -6 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Result + d9e00b4e-988b-46b7-83ed-23e855867e23 + Result + Result + false + 0 + + + + + + 4041 + -36 + 31 + 40 + + + 4056.5 + -16 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 9a6f91f6-0630-4830-8fd0-477d17fef0fb + Digit Scroller + INCREASE BEND PER SEGMENT + false + 0 + + + + + 12 + INCREASE BEND PER SEGMENT + 1 + + 0.48635028132 + + + + + + 3682 + -190 + 250 + 20 + + + 3682.429 + -189.908 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 982abbaa-3dc5-4e91-82c5-b89e6889b245 + Panel + + false + 0 + 0 + 16 0.492221738454693386 +32 0.507180224586 + + + + + + 3986 + -207 + 194 + 30 + + 0 + 0 + 0 + + 3986.912 + -207 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 143565e7-4ae8-41d7-9a06-d4bd76248b54 + Panel + + false + 0 + 0 + 0.492221738454693386 + + + + + + 3728 + -122 + 112 + 20 + + 0 + 0 + 0 + + 3728.995 + -121.1867 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + fe8168de-7728-4459-9d5b-12ac139649dc + Deconstruct + Deconstruct + + + + + + 4329 + -410 + 120 + 64 + + + 4370 + -378 + + + + + + Input point + cfca3bce-dac3-410d-bdb1-1a78b549fa9a + Point + Point + false + 1f5e8e09-adb1-4c11-ab78-b4c1a72b0d2f + 1 + + + + + + 4331 + -408 + 27 + 60 + + + 4344.5 + -378 + + + + + + + + Point {x} component + 98023ec4-8abd-465a-9fc6-113bad1bb42b + X component + X component + false + 0 + + + + + + 4382 + -408 + 65 + 20 + + + 4414.5 + -398 + + + + + + + + Point {y} component + b1151352-39d9-4cbb-be71-3baf994d9ae1 + Y component + Y component + false + 0 + + + + + + 4382 + -388 + 65 + 20 + + + 4414.5 + -378 + + + + + + + + Point {z} component + 645efb83-0efd-4a49-adf5-af4c1bb37ee1 + Z component + Z component + false + 0 + + + + + + 4382 + -368 + 65 + 20 + + + 4414.5 + -358 + + + + + + + + + + + + d3d195ea-2d59-4ffa-90b1-8b7ff3369f69 + Unit Y + + + + + Unit vector parallel to the world {y} axis. + true + 380e8b0d-a629-4458-919f-d5253db452f1 + Unit Y + Unit Y + + + + + + 3578 + -574 + 114 + 28 + + + 3624 + -560 + + + + + + Unit multiplication + c559f25e-fc15-43c3-a956-b8c2c699772b + Factor + Factor + false + 0ad09fc1-1279-4ea4-b205-9c9a89f9ebc6 + 1 + + + + + + 3580 + -572 + 32 + 24 + + + 3596 + -560 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + World {y} vector + 1180af4e-9307-495e-960d-727614eb69d9 + Unit vector + Unit vector + false + 0 + + + + + + 3636 + -572 + 54 + 24 + + + 3663 + -560 + + + + + + + + + + + + 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 + eef6124b-3fcd-4667-95f3-62a6f5701b13 + Evaluate Length + Evaluate Length + + + + + + 3806 + -1193 + 149 + 64 + + + 3891 + -1161 + + + + + + Curve to evaluate + 5cf566a1-5b0a-4e57-a8a7-f455d4df35ca + Curve + Curve + false + cfd355a8-73ed-4ac8-8ec9-98a00fe36d6e + 1 + + + + + + 3808 + -1191 + 71 + 20 + + + 3843.5 + -1181 + + + + + + + + Length factor for curve evaluation + a54b513f-9cca-447a-80ef-59f000b81ffb + Length + Length + false + 0 + + + + + + 3808 + -1171 + 71 + 20 + + + 3843.5 + -1161 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 77d2f604-ae30-467d-9e2f-b63e4d4b5872 + Normalized + Normalized + false + 0 + + + + + + 3808 + -1151 + 71 + 20 + + + 3843.5 + -1141 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 572a8ce2-d9e2-4f66-a641-056986b98367 + Point + Point + false + 0 + + + + + + 3903 + -1191 + 50 + 20 + + + 3928 + -1181 + + + + + + + + Tangent vector at the specified length + 8cd8769e-24f6-414e-8ed9-3354ee8dc7a1 + Tangent + Tangent + false + 0 + + + + + + 3903 + -1171 + 50 + 20 + + + 3928 + -1161 + + + + + + + + Curve parameter at the specified length + 39706695-c878-4d5c-8866-d838b917b710 + Parameter + Parameter + false + 0 + + + + + + 3903 + -1151 + 50 + 20 + + + 3928 + -1141 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 73d57946-2d79-4acc-ace4-f082f53db977 + Rotate + Rotate + + + + + + 3763 + -1686 + 226 + 81 + + + 3925 + -1645 + + + + + + Base geometry + a441d4f7-d8ae-48cc-a1f9-f511f4bba37c + Geometry + Geometry + true + 83cfdb23-e108-47d2-a227-49545aed148a + 1 + + + + + + 3765 + -1684 + 148 + 20 + + + 3847 + -1674 + + + + + + + + Rotation angle in degrees + e8b34da6-db34-4faf-8440-d7ca4eaca90e + Angle + Angle + false + 71d4dd4b-48d3-4cb8-9e35-acafdbe85ee9 + 1 + true + + + + + + 3765 + -1664 + 148 + 20 + + + 3847 + -1654 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5707963267948966 + + + + + + + + + + + Rotation plane + b78afd36-0bbc-478b-9736-105cbc336e8c + Plane + Plane + false + 0 + + + + + + 3765 + -1644 + 148 + 37 + + + 3847 + -1625.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 3e55012b-12e1-41f2-bc2d-a9212ea990eb + Geometry + Geometry + false + 0 + + + + + + 3937 + -1684 + 50 + 38 + + + 3962 + -1664.75 + + + + + + + + Transformation data + 0d35ff02-b944-4adc-bf6a-5100d2e95463 + Transform + Transform + false + 0 + + + + + + 3937 + -1646 + 50 + 39 + + + 3962 + -1626.25 + + + + + + + + + + + + b464fccb-50e7-41bd-9789-8438db9bea9f + Angle + + + + + Compute the angle between two vectors. + true + 782b8411-b435-4f86-b51e-83a746dc8746 + Angle + Angle + + + + + + 3781 + -1601 + 197 + 81 + + + 3917 + -1560 + + + + + + First vector + 46a989e2-6e63-4c7c-b660-bec8246c329a + Vector A + Vector A + false + d5ed76f7-d0a5-4586-bec0-352840881b20 + 1 + + + + + + 3783 + -1599 + 122 + 20 + + + 3844 + -1589 + + + + + + + + Second vector + 88a08c31-32c3-4fe9-9d57-eed807f14453 + Vector B + Vector B + false + 0 + + + + + + 3783 + -1579 + 122 + 20 + + + 3844 + -1569 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Optional plane for 2D angle + 38d8667d-f5e0-433f-a2eb-02567ba63430 + Plane + Plane + true + 0 + + + + + + 3783 + -1559 + 122 + 37 + + + 3844 + -1540.5 + + + + + + + + Angle (in radians) between vectors + 71d4dd4b-48d3-4cb8-9e35-acafdbe85ee9 + -DEG(X) + Angle + Angle + false + 0 + + + + + + 3929 + -1599 + 47 + 38 + + + 3944.5 + -1579.75 + + + + + + + + Reflex angle (in radians) between vectors + b2429c1c-501f-49ad-a843-ee4931788309 + Reflex + Reflex + false + 0 + + + + + + 3929 + -1561 + 47 + 39 + + + 3944.5 + -1541.25 + + + + + + + + + + + + 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 + ca32a89c-9e1e-4608-af15-c2f8c5aebe82 + Evaluate Length + Evaluate Length + + + + + + 3833 + -1508 + 149 + 64 + + + 3918 + -1476 + + + + + + Curve to evaluate + 1b8855b0-c021-4109-8d91-3be5ecf86900 + Curve + Curve + false + 83cfdb23-e108-47d2-a227-49545aed148a + 1 + + + + + + 3835 + -1506 + 71 + 20 + + + 3870.5 + -1496 + + + + + + + + Length factor for curve evaluation + 8de410cf-0597-4038-a17d-5f483b45b0cd + Length + Length + false + 0 + + + + + + 3835 + -1486 + 71 + 20 + + + 3870.5 + -1476 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 0e275a88-4e93-4e3a-9556-e902c47694b0 + Normalized + Normalized + false + 0 + + + + + + 3835 + -1466 + 71 + 20 + + + 3870.5 + -1456 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8a2565fe-6767-47e0-8c6e-c714ae6391d6 + Point + Point + false + 0 + + + + + + 3930 + -1506 + 50 + 20 + + + 3955 + -1496 + + + + + + + + Tangent vector at the specified length + d5ed76f7-d0a5-4586-bec0-352840881b20 + Tangent + Tangent + false + 0 + + + + + + 3930 + -1486 + 50 + 20 + + + 3955 + -1476 + + + + + + + + Curve parameter at the specified length + 40f93bbe-bbc4-408a-9de9-ee8f5a9df282 + Parameter + Parameter + false + 0 + + + + + + 3930 + -1466 + 50 + 20 + + + 3955 + -1456 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0bcd4978-57f4-4e7b-b1b6-d2f7833e3ef0 + Panel + X + false + 0 + 1b2ada02-6253-49ca-a21b-2fa46d01a8b6 + 1 + + + + + + + 4636 + -506 + 194 + 40 + + 0 + 0 + 0 + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cec1ad7e-4fc8-4b70-b4ae-f9981a037932 + Panel + Y + false + 0 + 6e1db03e-3286-4420-89a4-bfc4cca91f93 + 1 + + + + + + + 4656 + -288 + 194 + 40 + + 0 + 0 + 0 + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + b96e7bfa-ed4f-4382-94f3-5b1a98b41212 + One Over X + One Over X + + + + + + 3662 + -430 + 88 + 28 + + + 3705 + -416 + + + + + + Input value + 7ff74437-2a95-4bee-9695-786fcec1ecbe + Value + Value + false + eeb347c1-708e-4973-8afe-e154fd52e0f7 + 1 + + + + + + 3664 + -428 + 29 + 24 + + + 3678.5 + -416 + + + + + + + + Output value + 5759550e-d8e3-4555-90d8-9ffd2d30a3f2 + Result + Result + false + 0 + + + + + + 3717 + -428 + 31 + 24 + + + 3732.5 + -416 + + + + + + + + + + + + 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 + fadad9fa-e0cd-463a-97cb-627c4001f1b1 + Evaluate Length + Evaluate Length + + + + + + 3806 + -1847 + 149 + 64 + + + 3891 + -1815 + + + + + + Curve to evaluate + db9d69f5-ffd3-488d-96a0-33c00bb6bf5c + Curve + Curve + false + ef3f33aa-8e82-44fb-abca-b0f773702dc0 + 1 + + + + + + 3808 + -1845 + 71 + 20 + + + 3843.5 + -1835 + + + + + + + + Length factor for curve evaluation + fb4e2c46-be67-4dac-857d-1ed9b161de5e + Length + Length + false + 0 + + + + + + 3808 + -1825 + 71 + 20 + + + 3843.5 + -1815 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + bf08ac35-3e10-41fd-8cef-3816dc364e2b + Normalized + Normalized + false + 0 + + + + + + 3808 + -1805 + 71 + 20 + + + 3843.5 + -1795 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 1f5e8e09-adb1-4c11-ab78-b4c1a72b0d2f + Point + Point + false + 0 + + + + + + 3903 + 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+ + Connects the Grasshopper Python component to an external Python instance. + + 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+ + 75ac1cb6-ddba-4be7-bc22-ce4ed6a337b3 + true + GH Python Remote + GH Python Remote + false + + + + + MIT + © 2017-2022 Pierre Cuvilliers, Caitlin Mueller, Massachusetts Institute of Technology + pcuvil@mit.edu + Pierre Cuvilliers + https://github.com/pilcru/ghpythonremote + + + + + 7 + 09648867-3bd2-4cea-83f0-76b1a57fd716 + 1e6bd163-b731-437b-a13c-5a6b3f78e28c + 26fb2b4c-331e-4a42-ac74-de9f65f1b30e + 4280c996-993d-4511-91d1-f3863d846d20 + 8698b942-1698-4f4d-9a58-9d7b0a9b7d89 + 9d7b8e46-02a5-49e7-9313-04efa45c829f + ea17f802-dbae-4d5b-8564-d94bed84bc2f + 29b0f9a8-48c2-4e1f-a8f1-f91b9f34bef6 + a4f2ffaa-b132-4dad-b4f5-854109b01283 + c74c6e9b-38dc-49ff-9e5e-b91c0afded8f + baf066c1-44fa-458c-b731-4cbc3d7fd935 + d6c3f352-f151-4812-b370-3621941cb55c + e53fb9e0-54f1-4185-9bf2-fdb7141d618a + c5bf0a7c-068c-46cd-b6bd-0ab2c2a7ee5f + + + + + + -854 + -47 + 169 + 84 + + + -788 + -5 + + + + + + 3 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 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If empty, finds python from your windows %PATH%. + ea17f802-dbae-4d5b-8564-d94bed84bc2f + true + location + location + true + 0 + true + c50f682b-1ba9-4564-af2e-d70bf4b32a2e + 1 + 37261734-eec7-4f50-b6a8-b8d1f3c4396b + + + + + + -852 + -45 + 52 + 26 + + + -826 + -31.66667 + + + + + + + + true + run (boolean): Creates the connection, and imports new modules, when turned to True. Kills the connection,and deletes the references to the imports, when turned to False. + 1e6bd163-b731-437b-a13c-5a6b3f78e28c + true + run + run + true + 0 + true + 0 + d60527f5-b5af-4ef6-8970-5f96fe412559 + + + + + + -852 + -19 + 52 + 27 + + + -826 + -4.999998 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Boolean + true + + + + + + + + + + + 1 + true + modules (str list): List of module names to import in the remote python. They will be added to the scriptcontext.sticky dictionary, allowing them to be reused from other python components in the same Grasshopper document. 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+ 0 + 0 + 0 + + 5690.922 + -249.1965 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + O/4^(OO-4) + true + 5bb68c64-8e55-4ede-a373-3b553f00b8f5 + Expression + Expression + + + + + + 5714 + -145 + 157 + 44 + + + 5787 + -123 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 97d9a087-6b0c-4acf-bd43-383c56431d87 + Variable O + O + true + 04250f66-9b19-4960-81e5-c75d6a635b9a + 1 + + + + + + 5716 + -143 + 19 + 20 + + + 5725.5 + -133 + + + + + + + + Expression variable + f7d623e1-5147-402a-9ee0-b90c3c22b0f8 + Variable OO + OO + true + ace881a5-d17e-48cc-8091-b504f097c407 + 1 + + + + + + 5716 + -123 + 19 + 20 + + + 5725.5 + -113 + + + + + + + + Result of expression + 969c17c3-b421-462c-b1dc-0b89d2fdb2bd + Result + Result + false + 0 + + + + + + 5838 + -143 + 31 + 40 + + + 5853.5 + -123 + + + + + + + + + + + + + + 7ab8d289-26a2-4dd4-b4ad-df5b477999d8 + Log N + + + + + Return the N-base logarithm of a number. + true + c9ed6af8-fb3d-4e12-b8eb-94fbb41d8973 + Log N + Log N + + + + + + 5682 + -39 + 115 + 44 + + + 5752 + -17 + + + + + + Value + 6eb8c039-dcbe-48a3-9798-d0c45254fc4e + Number + Number + false + 5b3c723a-3f23-441f-9c84-ffbe637729f5 + 1 + + + + + + 5684 + -37 + 56 + 20 + + + 5712 + -27 + + + + + + + + Logarithm base + 319b7b83-1aa9-4939-b860-73d08c058601 + Base + Base + false + 0 + + + + + + 5684 + -17 + 56 + 20 + + + 5712 + -7 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Result + ace881a5-d17e-48cc-8091-b504f097c407 + Result + Result + false + 0 + + + + + + 5764 + -37 + 31 + 40 + + + 5779.5 + -17 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 5b2cc981-7e40-4a82-88b8-624b14091777 + Digit Scroller + INCREASE BEND PER SEGMENT + false + 0 + + + + + 12 + INCREASE BEND PER SEGMENT + 1 + + 0.48758816891 + + + + + + 5405 + -191 + 250 + 20 + + + 5405.438 + -190.1045 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 11fa940e-cfd5-4601-9b24-2fd715db1f3a + Panel + + false + 0 + 0 + 16 0.492221738454693386 +32 0.507180224586 + + + + + + 5709 + -208 + 194 + 30 + + 0 + 0 + 0 + + 5709.922 + -207.1965 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fea29e22-ad99-4c97-a41a-7d5ac36eb3ce + Panel + + false + 0 + 0 + 0.492221738454693386 + + + + + + 5452 + -122 + 112 + 20 + + 0 + 0 + 0 + + 5452.005 + -121.3832 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 083da795-56a8-4934-b454-6e2db47c35ee + Deconstruct + Deconstruct + + + + + + 6052 + -411 + 120 + 64 + + + 6093 + -379 + + + + + + Input point + 8b3f5170-858d-42d7-8649-2dd06911382c + Point + Point + false + c16cbadd-b9e5-4b4c-a7f6-d0a2af9bd438 + 1 + + + + + + 6054 + -409 + 27 + 60 + + + 6067.5 + -379 + + + + + + + + Point {x} component + 04c2b22c-6673-4905-abc8-faf33e2da54b + X component + X component + false + 0 + + + + + + 6105 + -409 + 65 + 20 + + + 6137.5 + -399 + + + + + + + + Point {y} component + 5c15c61b-748e-4d37-8f07-4d67dd9da867 + Y component + Y component + false + 0 + + + + + + 6105 + -389 + 65 + 20 + + + 6137.5 + -379 + + + + + + + + Point {z} component + 61a0a803-d15e-4c0a-bd03-e9173dc47ab1 + Z component + Z component + false + 0 + + + + + + 6105 + -369 + 65 + 20 + + + 6137.5 + -359 + + + + + + + + + + + + d3d195ea-2d59-4ffa-90b1-8b7ff3369f69 + Unit Y + + + + + Unit vector parallel to the world {y} axis. + true + 898393e5-1cbe-4939-9cd6-16052006348b + Unit Y + Unit Y + + + + + + 5301 + -575 + 114 + 28 + + + 5347 + -561 + + + + + + Unit multiplication + 604e846e-5334-45cc-b358-e8275259a522 + Factor + Factor + false + a97649ee-fe8f-4128-8d41-11d1c7771844 + 1 + + + + + + 5303 + -573 + 32 + 24 + + + 5319 + -561 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + World {y} vector + 5daa660a-905c-43f7-92a4-ea551e4af786 + Unit vector + Unit vector + false + 0 + + + + + + 5359 + -573 + 54 + 24 + + + 5386 + -561 + + + + + + + + + + + + 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 + 978abbde-eb2d-4d4f-9c9f-6a4f665f7b49 + Evaluate Length + Evaluate Length + + + + + + 5529 + -1194 + 149 + 64 + + + 5614 + -1162 + + + + + + Curve to evaluate + 609d0e08-a115-4818-85f2-e0fddbd3c482 + Curve + Curve + false + 48a77407-1ef5-408c-98e8-f8c22c4b8306 + 1 + + + + + + 5531 + -1192 + 71 + 20 + + + 5566.5 + -1182 + + + + + + + + Length factor for curve evaluation + e9ae8d24-71ad-479c-a1cb-011009bb755e + Length + Length + false + 0 + + + + + + 5531 + -1172 + 71 + 20 + + + 5566.5 + -1162 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 36427eab-9517-4ae9-8b53-5ecde7b832ff + Normalized + Normalized + false + 0 + + + + + + 5531 + -1152 + 71 + 20 + + + 5566.5 + -1142 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 3b38221c-a947-47b4-9a1a-4e8ff76e2c4f + Point + Point + false + 0 + + + + + + 5626 + -1192 + 50 + 20 + + + 5651 + -1182 + + + + + + + + Tangent vector at the specified length + d80629a8-1bbd-4ecc-840b-0cecd25d1828 + Tangent + Tangent + false + 0 + + + + + + 5626 + -1172 + 50 + 20 + + + 5651 + -1162 + + + + + + + + Curve parameter at the specified length + bb2712ae-97d9-47a4-8a62-3b354df87e65 + Parameter + Parameter + false + 0 + + + + + + 5626 + -1152 + 50 + 20 + + + 5651 + -1142 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + e7fa1c0a-6dee-469e-bd81-b490fe80e04b + Rotate + Rotate + + + + + + 5486 + -1687 + 226 + 81 + + + 5648 + -1646 + + + + + + Base geometry + d859fb44-f1f1-44ad-88d4-2cec87520b1c + Geometry + Geometry + true + eed3e60c-da42-452d-840a-628600c254ce + 1 + + + + + + 5488 + -1685 + 148 + 20 + + + 5570 + -1675 + + + + + + + + Rotation angle in degrees + 6d1a58cb-dc0e-4d96-a845-4430b1755619 + Angle + Angle + false + 073fb8d2-f971-4f1f-a5cb-c70731174f1a + 1 + true + + + + + + 5488 + -1665 + 148 + 20 + + + 5570 + -1655 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5707963267948966 + + + + + + + + + + + Rotation plane + f8993e77-cb96-457b-ba55-5914f3f9a84c + Plane + Plane + false + 0 + + + + + + 5488 + -1645 + 148 + 37 + + + 5570 + -1626.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 3143d331-a6cc-487a-9d6e-98844d184687 + Geometry + Geometry + false + 0 + + + + + + 5660 + -1685 + 50 + 38 + + + 5685 + -1665.75 + + + + + + + + Transformation data + aa79130c-2e49-4f9f-8045-32819256da62 + Transform + Transform + false + 0 + + + + + + 5660 + -1647 + 50 + 39 + + + 5685 + -1627.25 + + + + + + + + + + + + b464fccb-50e7-41bd-9789-8438db9bea9f + Angle + + + + + Compute the angle between two vectors. + true + 6d669f59-dcfb-404b-94b1-22bb7f83e90c + Angle + Angle + + + + + + 5504 + -1602 + 197 + 81 + + + 5640 + -1561 + + + + + + First vector + 49c3e659-47fc-4806-a1a7-a90ae62a2118 + Vector A + Vector A + false + a9986f1c-b6a1-432b-98a1-86f37c910392 + 1 + + + + + + 5506 + -1600 + 122 + 20 + + + 5567 + -1590 + + + + + + + + Second vector + 211c037d-ad50-43ce-9e18-99e373a7fa37 + Vector B + Vector B + false + 0 + + + + + + 5506 + -1580 + 122 + 20 + + + 5567 + -1570 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Optional plane for 2D angle + f549f8d8-2052-432e-9d02-6064ae210e29 + Plane + Plane + true + 0 + + + + + + 5506 + -1560 + 122 + 37 + + + 5567 + -1541.5 + + + + + + + + Angle (in radians) between vectors + 073fb8d2-f971-4f1f-a5cb-c70731174f1a + -DEG(X) + Angle + Angle + false + 0 + + + + + + 5652 + -1600 + 47 + 38 + + + 5667.5 + -1580.75 + + + + + + + + Reflex angle (in radians) between vectors + adbd9356-8441-4587-beb8-1cca3d95d43c + Reflex + Reflex + false + 0 + + + + + + 5652 + -1562 + 47 + 39 + + + 5667.5 + -1542.25 + + + + + + + + + + + + 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 + d5bb524f-50cb-4f8e-84b6-4b1bb53032d7 + Evaluate Length + Evaluate Length + + + + + + 5556 + -1509 + 149 + 64 + + + 5641 + -1477 + + + + + + Curve to evaluate + 0ad0e1a4-a61f-4782-8953-56e97b11a659 + Curve + Curve + false + eed3e60c-da42-452d-840a-628600c254ce + 1 + + + + + + 5558 + -1507 + 71 + 20 + + + 5593.5 + -1497 + + + + + + + + Length factor for curve evaluation + 5d75aa5f-cd40-4463-a606-a24969050e6c + Length + Length + false + 0 + + + + + + 5558 + -1487 + 71 + 20 + + + 5593.5 + -1477 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 718e13ff-de7e-4d4e-800e-a4a89c12d060 + Normalized + Normalized + false + 0 + + + + + + 5558 + -1467 + 71 + 20 + + + 5593.5 + -1457 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + f211f2c6-f743-4471-9aee-eb2cb9de482a + Point + Point + false + 0 + + + + + + 5653 + -1507 + 50 + 20 + + + 5678 + -1497 + + + + + + + + Tangent vector at the specified length + a9986f1c-b6a1-432b-98a1-86f37c910392 + Tangent + Tangent + false + 0 + + + + + + 5653 + -1487 + 50 + 20 + + + 5678 + -1477 + + + + + + + + Curve parameter at the specified length + 8cd731f3-ea06-485a-a069-42e6719da761 + Parameter + Parameter + false + 0 + + + + + + 5653 + -1467 + 50 + 20 + + + 5678 + -1457 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d2f1a870-6ec7-451d-ba61-c993471b9a2f + Panel + X + false + 0 + 2e55baa2-20b1-44cf-b7ac-aa0b126535af + 1 + + + + + + + 6359 + -507 + 194 + 40 + + 0 + 0 + 0 + + 6359.01 + -506.1965 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 24e48d98-c61b-415c-b273-4b3dbab4fd16 + Panel + Y + false + 0 + fe241549-f029-4024-a10a-e27d4d6d7874 + 1 + + + + + + + 6379 + -289 + 194 + 40 + + 0 + 0 + 0 + + 6379.01 + -288.1965 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + db07fc6c-26cd-41c6-93d6-de33385a43f7 + One Over X + One Over X + + + + + + 5385 + -431 + 88 + 28 + + + 5428 + -417 + + + + + + Input value + 4c922936-dade-42d3-8fe3-7d2e5413792e + Value + Value + false + d4e5c598-1665-4ef4-8cb9-a34cd9ede92b + 1 + + + + + + 5387 + -429 + 29 + 24 + + + 5401.5 + -417 + + + + + + + + Output value + 8597afef-d390-48ff-bfdf-3c8f4a1ab9aa + Result + Result + false + 0 + + + + + + 5440 + -429 + 31 + 24 + + + 5455.5 + -417 + + + + + + + + + + + + 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 + 9b896070-f198-4c28-aaf3-2300ba4b3e28 + Evaluate Length + Evaluate Length + + + + + + 5529 + -1848 + 149 + 64 + + + 5614 + -1816 + + + + + + Curve to evaluate + 1e5a0a89-9608-43c5-adfb-9cc8f66aeaaf + Curve + Curve + false + 579c985b-e3f7-44b1-a94e-ebd88c119761 + 1 + + + + + + 5531 + -1846 + 71 + 20 + + + 5566.5 + -1836 + + + + + + + + Length factor for curve evaluation + 9a579e77-5061-4ebd-8d6d-d2076cff2238 + Length + Length + false + 0 + + + + + + 5531 + -1826 + 71 + 20 + + + 5566.5 + -1816 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 4eaeccf0-5da5-4d4f-b254-6a421ca86373 + Normalized + Normalized + false + 0 + + + + + + 5531 + -1806 + 71 + 20 + + + 5566.5 + -1796 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + c16cbadd-b9e5-4b4c-a7f6-d0a2af9bd438 + Point + Point + false + 0 + + + + + + 5626 + -1846 + 50 + 20 + + + 5651 + -1836 + + + + + + + + Tangent vector at the specified length + c1d4f0c0-e8e0-4f5c-be90-220d85fc293d + Tangent + Tangent + false + 0 + + + + + + 5626 + -1826 + 50 + 20 + + + 5651 + -1816 + + + + + + + + Curve parameter at the specified length + 966bd2b9-2deb-4d74-80b4-97aff9045b0d + Parameter + Parameter + false + 0 + + + + + + 5626 + -1806 + 50 + 20 + + + 5651 + -1796 + + + + + + + + + + + + 758d91a0-4aec-47f8-9671-16739a8a2c5d + Format + + + + + Format some data using placeholders and formatting tags + true + 45fed133-b4b8-4f87-9dfc-33879ab249e9 + Format + Format + + + + + + 6199 + -520 + 130 + 64 + + + 6291 + -488 + + + + + + 3 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 7fa15783-70da-485c-98c0-a099e6988c3e + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + + + + + Text format + 5e987017-e63c-4ed5-a423-7cfea5d7e90f + Format + Format + false + 0 + + + + + + 6201 + -518 + 78 + 20 + + + 6240 + -508 + + + + + + 1 + + + + + 1 + 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+ 0 + 0 + 0 + + 7387.639 + -225.6487 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + O/4^(OO-4) + true + 73383578-2553-4fa9-9c76-a79bc56e9f1c + Expression + Expression + + + + + + 7410 + -122 + 157 + 44 + + + 7483 + -100 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d3b88769-9169-49b6-be88-a1e22389db36 + Variable O + O + true + fb2a6dbf-b02f-4775-ad6e-36cf33201f14 + 1 + + + + + + 7412 + -120 + 19 + 20 + + + 7421.5 + -110 + + + + + + + + Expression variable + 3ceb906c-57ef-458b-9bdd-16815fce9d6b + Variable OO + OO + true + 118d6a6e-a7b7-4f47-a11e-d176a0f5e664 + 1 + + + + + + 7412 + -100 + 19 + 20 + + + 7421.5 + -90 + + + + + + + + Result of expression + 66e0c859-9a3f-4653-87cc-c7dbc80b8137 + Result + Result + false + 0 + + + + + + 7534 + -120 + 31 + 40 + + + 7549.5 + -100 + + + + + + + + + + + + + + 7ab8d289-26a2-4dd4-b4ad-df5b477999d8 + Log N + + + + + Return the N-base logarithm of a number. + true + d6006a37-f52f-44c5-8843-4b4c76e75d91 + Log N + Log N + + + + + + 7378 + -16 + 115 + 44 + + + 7448 + 6 + + + + + + Value + d7045ca4-1772-4fc7-8f7d-fa1f1ec995e6 + Number + Number + false + 3b9ee1da-2b6d-4e87-94f1-2b90b167ae40 + 1 + + + + + + 7380 + -14 + 56 + 20 + + + 7408 + -4 + + + + + + + + Logarithm base + f13fbbf7-e636-4655-a355-d0a829018831 + Base + Base + false + 0 + + + + + + 7380 + 6 + 56 + 20 + + + 7408 + 16 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Result + 118d6a6e-a7b7-4f47-a11e-d176a0f5e664 + Result + Result + false + 0 + + + + + + 7460 + -14 + 31 + 40 + + + 7475.5 + 6 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + d3a6959a-bba8-449a-982e-ef7604520f53 + Digit Scroller + INCREASE BEND PER SEGMENT + false + 0 + + + + + 12 + INCREASE BEND PER SEGMENT + 1 + + 0.48627696593 + + + + + + 7102 + -167 + 250 + 20 + + + 7102.155 + -166.5567 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3bd58d69-967e-43a7-83f9-2ac9b80f78e7 + Panel + + false + 0 + 0 + 16 0.492221738454693386 +32 0.507180224586 + + + + + + 7406 + -184 + 194 + 30 + + 0 + 0 + 0 + + 7406.639 + -183.6487 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c310bdd9-cdbb-41d1-9fff-c0a3b50b9761 + Panel + + false + 0 + 0 + 0.492221738454693386 + + + + + + 7148 + -98 + 112 + 20 + + 0 + 0 + 0 + + 7148.722 + -97.83535 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 6d028da1-0f48-408c-93e7-967fdf542a50 + Deconstruct + Deconstruct + + + + + + 7748 + -388 + 120 + 64 + + + 7789 + -356 + + + + + + Input point + d52eac7f-7d31-4133-aea6-6202516efb39 + Point + Point + false + ad060237-9a0b-4008-a8a1-242e68167c1a + 1 + + + + + + 7750 + -386 + 27 + 60 + + + 7763.5 + -356 + + + + + + + + Point {x} component + 35efd855-fd11-474b-9c35-002d2c21885d + X component + X component + false + 0 + + + + + + 7801 + -386 + 65 + 20 + + + 7833.5 + -376 + + + + + + + + Point {y} component + 23303988-7ecf-4a11-bc1e-35898011a20c + Y component + Y component + false + 0 + + + + + + 7801 + -366 + 65 + 20 + + + 7833.5 + -356 + + + + + + + + Point {z} component + c2e0a7e1-fc22-46c0-ae94-c36350dd6d24 + Z component + Z component + false + 0 + + + + + + 7801 + -346 + 65 + 20 + + + 7833.5 + -336 + + + + + + + + + + + + d3d195ea-2d59-4ffa-90b1-8b7ff3369f69 + Unit Y + + + + + Unit vector parallel to the world {y} axis. + true + ca7fa2f7-8da6-406c-a0d0-1a15b937245d + Unit Y + Unit Y + + + + + + 6997 + -552 + 114 + 28 + + + 7043 + -538 + + + + + + Unit multiplication + 20d7ed77-a242-4e78-bc22-a47dcbd676e2 + Factor + Factor + false + 661278b1-7115-4eef-931d-363a21259e10 + 1 + + + + + + 6999 + -550 + 32 + 24 + + + 7015 + -538 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + World {y} vector + a62455d0-5cb4-4f1c-9433-d173ad04b5fc + Unit vector + Unit vector + false + 0 + + + + + + 7055 + -550 + 54 + 24 + + + 7082 + -538 + + + + + + + + + + + + 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 + 6cc8b961-3d16-490f-8a92-6de71388cfb0 + Evaluate Length + Evaluate Length + + + + + + 7225 + -1171 + 149 + 64 + + + 7310 + -1139 + + + + + + Curve to evaluate + a356b7de-1d69-4095-a4fe-4fe01dc14673 + Curve + Curve + false + 98856ba9-ac48-4dc5-8173-4a04a125f4c3 + 1 + + + + + + 7227 + -1169 + 71 + 20 + + + 7262.5 + -1159 + + + + + + + + Length factor for curve evaluation + bcbced95-3f41-4c96-a3a8-fc21211c4e84 + Length + Length + false + 0 + + + + + + 7227 + -1149 + 71 + 20 + + + 7262.5 + -1139 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + a5cd143c-0497-4726-a2b5-f95cf2b3273b + Normalized + Normalized + false + 0 + + + + + + 7227 + -1129 + 71 + 20 + + + 7262.5 + -1119 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + cf3a8e64-db34-4748-b512-dd4b3a3cd2ea + Point + Point + false + 0 + + + + + + 7322 + -1169 + 50 + 20 + + + 7347 + -1159 + + + + + + + + Tangent vector at the specified length + d5d3bd1f-68fe-43ad-be56-c2688ee6ab17 + Tangent + Tangent + false + 0 + + + + + + 7322 + -1149 + 50 + 20 + + + 7347 + -1139 + + + + + + + + Curve parameter at the specified length + 33d1c087-26b5-471e-8ce4-ad22302ab4ec + Parameter + Parameter + false + 0 + + + + + + 7322 + -1129 + 50 + 20 + + + 7347 + -1119 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + a68f174f-f652-4ebe-9283-84d3ce1414cb + Rotate + Rotate + + + + + + 7182 + -1664 + 226 + 81 + + + 7344 + -1623 + + + + + + Base geometry + b725a6f7-d856-46ca-bd30-aece6543fc61 + Geometry + Geometry + true + de7d3b1c-087f-4d20-b155-1466adf1be7e + 1 + + + + + + 7184 + -1662 + 148 + 20 + + + 7266 + -1652 + + + + + + + + Rotation angle in degrees + 930e65b2-5380-4c50-8dfd-d3ecc69a71a9 + Angle + Angle + false + 513db0a5-d73e-4aad-8403-b35554601c20 + 1 + true + + + + + + 7184 + -1642 + 148 + 20 + + + 7266 + -1632 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5707963267948966 + + + + + + + + + + + Rotation plane + 1d742bd5-8502-4a39-a1f5-0a575b8fc18d + Plane + Plane + false + 0 + + + + + + 7184 + -1622 + 148 + 37 + + + 7266 + -1603.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 58108438-d67c-4274-9c4c-74f0b6b9c064 + Geometry + Geometry + false + 0 + + + + + + 7356 + -1662 + 50 + 38 + + + 7381 + -1642.75 + + + + + + + + Transformation data + a1c37d4d-72e7-4ba5-a526-95f282510660 + Transform + Transform + false + 0 + + + + + + 7356 + -1624 + 50 + 39 + + + 7381 + -1604.25 + + + + + + + + + + + + b464fccb-50e7-41bd-9789-8438db9bea9f + Angle + + + + + Compute the angle between two vectors. + true + c668c4d9-d991-4613-b402-cdf66b7b7cbf + Angle + Angle + + + + + + 7200 + -1579 + 197 + 81 + + + 7336 + -1538 + + + + + + First vector + 2b5a8381-34eb-47f0-aeb0-41a548f31ea3 + Vector A + Vector A + false + 807f589e-fafc-4af9-83b8-518bdfe592e0 + 1 + + + + + + 7202 + -1577 + 122 + 20 + + + 7263 + -1567 + + + + + + + + Second vector + 91b24b53-c825-491d-bd85-d3f44178ef68 + Vector B + Vector B + false + 0 + + + + + + 7202 + -1557 + 122 + 20 + + + 7263 + -1547 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Optional plane for 2D angle + e95fd458-2eb9-4998-867f-66daba6b9481 + Plane + Plane + true + 0 + + + + + + 7202 + -1537 + 122 + 37 + + + 7263 + -1518.5 + + + + + + + + Angle (in radians) between vectors + 513db0a5-d73e-4aad-8403-b35554601c20 + -DEG(X) + Angle + Angle + false + 0 + + + + + + 7348 + -1577 + 47 + 38 + + + 7363.5 + -1557.75 + + + + + + + + Reflex angle (in radians) between vectors + 3e7c3297-7c35-479e-a350-e4707264a8e9 + Reflex + Reflex + false + 0 + + + + + + 7348 + -1539 + 47 + 39 + + + 7363.5 + -1519.25 + + + + + + + + + + + + 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 + b3184d2b-6d05-4ad8-88fc-8731eb4712d3 + Evaluate Length + Evaluate Length + + + + + + 7252 + -1486 + 149 + 64 + + + 7337 + -1454 + + + + + + Curve to evaluate + 523befda-7ca0-4494-91b2-0c4032de7dab + Curve + Curve + false + de7d3b1c-087f-4d20-b155-1466adf1be7e + 1 + + + + + + 7254 + -1484 + 71 + 20 + + + 7289.5 + -1474 + + + + + + + + Length factor for curve evaluation + 91f420cf-ceef-4883-adac-43d6c7b7c4ed + Length + Length + false + 0 + + + + + + 7254 + -1464 + 71 + 20 + + + 7289.5 + -1454 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 3e6b0135-a762-48d3-ba8c-7f8e78f89068 + Normalized + Normalized + false + 0 + + + + + + 7254 + -1444 + 71 + 20 + + + 7289.5 + -1434 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 3c5ba13e-23de-4f08-abed-a8f2cb6d7714 + Point + Point + false + 0 + + + + + + 7349 + -1484 + 50 + 20 + + + 7374 + -1474 + + + + + + + + Tangent vector at the specified length + 807f589e-fafc-4af9-83b8-518bdfe592e0 + Tangent + Tangent + false + 0 + + + + + + 7349 + -1464 + 50 + 20 + + + 7374 + -1454 + + + + + + + + Curve parameter at the specified length + 0b7a5fad-f50c-4734-9f64-90f997d11360 + Parameter + Parameter + false + 0 + + + + + + 7349 + -1444 + 50 + 20 + + + 7374 + -1434 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 072dcf19-aaed-46e8-93ac-40f0b98e06eb + Panel + X + false + 0 + dc932851-6aca-48dd-bb33-2297203e1b93 + 1 + + + + + + + 8055 + -483 + 194 + 40 + + 0 + 0 + 0 + + 8055.727 + -482.6487 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 28024223-0601-4d33-b2cd-d31a63d03970 + Panel + Y + false + 0 + 5c14b869-2216-4bee-ab83-a2b2af816aa8 + 1 + + + + + + + 8075 + -265 + 194 + 40 + + 0 + 0 + 0 + + 8075.727 + -264.6487 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + b326ab19-e884-4588-875b-7b9eff4591c1 + One Over X + One Over X + + + + + + 7081 + -408 + 88 + 28 + + + 7124 + -394 + + + + + + Input value + 50b0d8f3-254f-4462-8623-50b69e316ba4 + Value + Value + false + 903082e1-697f-4b4c-870e-e7756893c833 + 1 + + + + + + 7083 + -406 + 29 + 24 + + + 7097.5 + -394 + + + + + + + + Output value + f8ad527b-60e4-4a4d-8227-555fab4e8c6c + Result + Result + false + 0 + + + + + + 7136 + -406 + 31 + 24 + + + 7151.5 + -394 + + + + + + + + + + + + 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 + e5551d65-9328-4cb1-82b6-2faf9de39787 + Evaluate Length + Evaluate Length + + + + + + 7225 + -1825 + 149 + 64 + + + 7310 + -1793 + + + + + + Curve to evaluate + 22ed8ab1-c128-4c9c-953b-36384128a70e + Curve + Curve + false + a201152b-09cd-4875-8f5e-65a7d1b5e6ae + 1 + + + + + + 7227 + -1823 + 71 + 20 + + + 7262.5 + -1813 + + + + + + + + Length factor for curve evaluation + a0d10dc6-63f5-426e-bbcc-8d305d2ce9db + Length + Length + false + 0 + + + + + + 7227 + -1803 + 71 + 20 + + + 7262.5 + -1793 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + eb54a31c-fc89-4239-898f-2405142ff8f7 + Normalized + Normalized + false + 0 + + + + + + 7227 + -1783 + 71 + 20 + + + 7262.5 + -1773 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + ad060237-9a0b-4008-a8a1-242e68167c1a + Point + Point + false + 0 + + + + + + 7322 + 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+ 0 + 0 + 0 + + 9032.471 + -249.59 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + O/4^(OO-4) + true + c633783c-54f2-434b-89ac-12664f0f9778 + Expression + Expression + + + + + + 9054 + -146 + 157 + 44 + + + 9127 + -124 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 843571c6-96ef-4c4d-8a48-c303d18f40c3 + Variable O + O + true + 19379fed-2ec1-4c1d-a18b-aaea992f534b + 1 + + + + + + 9056 + -144 + 19 + 20 + + + 9065.5 + -134 + + + + + + + + Expression variable + 815f35ac-36b2-448c-8b4b-22d8caebb3f1 + Variable OO + OO + true + 8114a16f-5e14-43a3-8080-171aaf99ee45 + 1 + + + + + + 9056 + -124 + 19 + 20 + + + 9065.5 + -114 + + + + + + + + Result of expression + 0c40b082-6a5b-435a-9ecc-89e139c9c9e2 + Result + Result + false + 0 + + + + + + 9178 + -144 + 31 + 40 + + + 9193.5 + -124 + + + + + + + + + + + + + + 7ab8d289-26a2-4dd4-b4ad-df5b477999d8 + Log N + + + + + Return the N-base logarithm of a number. + true + b422c589-f017-4039-910c-20cdcf68a57b + Log N + Log N + + + + + + 9022 + -40 + 115 + 44 + + + 9092 + -18 + + + + + + Value + 24eca3f2-6db2-4ce6-8600-2020b80385b1 + Number + Number + false + 3a737a17-feba-4d02-a091-4fc7fc64b6af + 1 + + + + + + 9024 + -38 + 56 + 20 + + + 9052 + -28 + + + + + + + + Logarithm base + 002694ba-5eac-457e-864c-3cbe214b62c6 + Base + Base + false + 0 + + + + + + 9024 + -18 + 56 + 20 + + + 9052 + -8 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Result + 8114a16f-5e14-43a3-8080-171aaf99ee45 + Result + Result + false + 0 + + + + + + 9104 + -38 + 31 + 40 + + + 9119.5 + -18 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + a9e1c8cf-fb7e-4409-a7ff-7d598e06055b + Digit Scroller + INCREASE BEND PER SEGMENT + false + 0 + + + + + 12 + INCREASE BEND PER SEGMENT + 1 + + 0.48627696593 + + + + + + 8746 + -191 + 250 + 20 + + + 8746.986 + -190.498 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fee44d27-800e-4e41-9853-68ab8851421b + Panel + + false + 0 + 0 + 16 0.492221738454693386 +32 0.507180224586 + + + + + + 9051 + -208 + 194 + 30 + + 0 + 0 + 0 + + 9051.471 + -207.59 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 43abe796-6357-4c8e-95bf-a411da1995e4 + Panel + + false + 0 + 0 + 0.492221738454693386 + + + + + + 8793 + -122 + 112 + 20 + + 0 + 0 + 0 + + 8793.553 + -121.7766 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + a1cd4cc6-f6e2-4882-9400-15b27dd6a700 + Deconstruct + Deconstruct + + + + + + 9392 + -412 + 120 + 64 + + + 9433 + -380 + + + + + + Input point + cb321f7c-9e2d-48d7-96d6-5adbd90d6fbf + Point + Point + false + debc2dec-4e90-40f5-a5aa-76bc7ab566f3 + 1 + + + + + + 9394 + -410 + 27 + 60 + + + 9407.5 + -380 + + + + + + + + Point {x} component + 62c154a7-1c1d-49db-b57e-d57ee010ecfd + X component + X component + false + 0 + + + + + + 9445 + -410 + 65 + 20 + + + 9477.5 + -400 + + + + + + + + Point {y} component + b9b67b2e-4b53-4c8a-b2e7-d13eb5f5de45 + Y component + Y component + false + 0 + + + + + + 9445 + -390 + 65 + 20 + + + 9477.5 + -380 + + + + + + + + Point {z} component + b9ab7f29-ed1e-4459-9bf6-d86177b9e99b + Z component + Z component + false + 0 + + + + + + 9445 + -370 + 65 + 20 + + + 9477.5 + -360 + + + + + + + + + + + + d3d195ea-2d59-4ffa-90b1-8b7ff3369f69 + Unit Y + + + + + Unit vector parallel to the world {y} axis. + true + a8f7bbbf-fa6d-413d-9ed1-911c210bca52 + Unit Y + Unit Y + + + + + + 8641 + -576 + 114 + 28 + + + 8687 + -562 + + + + + + Unit multiplication + f3f77601-39af-4c99-9bf6-59b7fa885f75 + Factor + Factor + false + 1d935021-9586-4892-8a03-1803d4963624 + 1 + + + + + + 8643 + -574 + 32 + 24 + + + 8659 + -562 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + World {y} vector + 8f299edb-d211-4ace-ac7e-9d58c163cb49 + Unit vector + Unit vector + false + 0 + + + + + + 8699 + -574 + 54 + 24 + + + 8726 + -562 + + + + + + + + + + + + 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 + e3bcfc34-48d9-4bd8-bc1f-b3264bc246a4 + Evaluate Length + Evaluate Length + + + + + + 8869 + -1195 + 149 + 64 + + + 8954 + -1163 + + + + + + Curve to evaluate + 4c851d4a-ffdc-4416-b7f8-fe5098d2576e + Curve + Curve + false + 967b1ee0-e9d5-44f3-a2ec-c122f465def6 + 1 + + + + + + 8871 + -1193 + 71 + 20 + + + 8906.5 + -1183 + + + + + + + + Length factor for curve evaluation + 119fa336-021f-481b-98b3-fb41d8fcccba + Length + Length + false + 0 + + + + + + 8871 + -1173 + 71 + 20 + + + 8906.5 + -1163 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 97cd4a31-4220-4753-8b0b-e32839d19ee7 + Normalized + Normalized + false + 0 + + + + + + 8871 + -1153 + 71 + 20 + + + 8906.5 + -1143 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d81410c4-b934-4141-9991-0d26f53a82c1 + Point + Point + false + 0 + + + + + + 8966 + -1193 + 50 + 20 + + + 8991 + -1183 + + + + + + + + Tangent vector at the specified length + 0aa282ab-ab9f-43e1-b53b-45cfbf60ab08 + Tangent + Tangent + false + 0 + + + + + + 8966 + -1173 + 50 + 20 + + + 8991 + -1163 + + + + + + + + Curve parameter at the specified length + e6cab960-e43b-4a10-bae4-3bd38b460f62 + Parameter + Parameter + false + 0 + + + + + + 8966 + -1153 + 50 + 20 + + + 8991 + -1143 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 71dfb3fa-efc7-45f9-ae4c-8d994a518a7a + Rotate + Rotate + + + + + + 8826 + -1688 + 226 + 81 + + + 8988 + -1647 + + + + + + Base geometry + e7c10108-f60b-445c-a99b-1421de9723f4 + Geometry + Geometry + true + 0fc11ab8-c8af-42d4-bdea-8f2ea5a5eed5 + 1 + + + + + + 8828 + -1686 + 148 + 20 + + + 8910 + -1676 + + + + + + + + Rotation angle in degrees + 7ca4306b-cd89-49d1-b978-4be70407a040 + Angle + Angle + false + a20f616d-9958-4f6b-b86a-618b82c4cb96 + 1 + true + + + + + + 8828 + -1666 + 148 + 20 + + + 8910 + -1656 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5707963267948966 + + + + + + + + + + + Rotation plane + 5422fcc3-782c-4f39-b670-e7877be5041f + Plane + Plane + false + 0 + + + + + + 8828 + -1646 + 148 + 37 + + + 8910 + -1627.5 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 4d28c858-4bc8-4dc6-ae64-0d5007c9ca49 + Geometry + Geometry + false + 0 + + + + + + 9000 + -1686 + 50 + 38 + + + 9025 + -1666.75 + + + + + + + + Transformation data + a8dde2b6-84d4-4032-9485-5e187619af76 + Transform + Transform + false + 0 + + + + + + 9000 + -1648 + 50 + 39 + + + 9025 + -1628.25 + + + + + + + + + + + + b464fccb-50e7-41bd-9789-8438db9bea9f + Angle + + + + + Compute the angle between two vectors. + true + 464f5f8a-5b70-4652-95a8-29ad2671a756 + Angle + Angle + + + + + + 8844 + -1603 + 197 + 81 + + + 8980 + -1562 + + + + + + First vector + ff2f1ac3-d318-48fd-8ac2-723b964af401 + Vector A + Vector A + false + 90092d57-7611-4e56-9ed0-32d8dea8d7af + 1 + + + + + + 8846 + -1601 + 122 + 20 + + + 8907 + -1591 + + + + + + + + Second vector + 03cac984-e6c3-433f-8ee2-9d50c493d682 + Vector B + Vector B + false + 0 + + + + + + 8846 + -1581 + 122 + 20 + + + 8907 + -1571 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Optional plane for 2D angle + a35a52fc-1bfa-460c-848e-340eb8397975 + Plane + Plane + true + 0 + + + + + + 8846 + -1561 + 122 + 37 + + + 8907 + -1542.5 + + + + + + + + Angle (in radians) between vectors + a20f616d-9958-4f6b-b86a-618b82c4cb96 + -DEG(X) + Angle + Angle + false + 0 + + + + + + 8992 + -1601 + 47 + 38 + + + 9007.5 + -1581.75 + + + + + + + + Reflex angle (in radians) between vectors + 9636c37d-2809-4db4-b180-f9cb29ba3e18 + Reflex + Reflex + false + 0 + + + + + + 8992 + -1563 + 47 + 39 + + + 9007.5 + -1543.25 + + + + + + + + + + + + 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 + c956a0d2-a7ba-4165-8ed4-8d02ff8b0963 + Evaluate Length + Evaluate Length + + + + + + 8896 + -1510 + 149 + 64 + + + 8981 + -1478 + + + + + + Curve to evaluate + 0a3a9d62-f9f0-4f9c-814a-8c14734e0a0d + Curve + Curve + false + 0fc11ab8-c8af-42d4-bdea-8f2ea5a5eed5 + 1 + + + + + + 8898 + -1508 + 71 + 20 + + + 8933.5 + -1498 + + + + + + + + Length factor for curve evaluation + 78c679df-ecc3-42ac-ad37-4e814c6d7d21 + Length + Length + false + 0 + + + + + + 8898 + -1488 + 71 + 20 + + + 8933.5 + -1478 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 515cb896-8ff7-4286-8e2c-90a3bfdd49e3 + Normalized + Normalized + false + 0 + + + + + + 8898 + -1468 + 71 + 20 + + + 8933.5 + -1458 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + cbebc0a2-bc4f-4f18-9209-6d190c8ddcea + Point + Point + false + 0 + + + + + + 8993 + -1508 + 50 + 20 + + + 9018 + -1498 + + + + + + + + Tangent vector at the specified length + 90092d57-7611-4e56-9ed0-32d8dea8d7af + Tangent + Tangent + false + 0 + + + + + + 8993 + -1488 + 50 + 20 + + + 9018 + -1478 + + + + + + + + Curve parameter at the specified length + 5d37cf6e-d544-4711-9a70-fe46c1ee1044 + Parameter + Parameter + false + 0 + + + + + + 8993 + -1468 + 50 + 20 + + + 9018 + -1458 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 863b2299-6c9b-455a-a776-e8f7593acd4e + Panel + X + false + 0 + e7032e03-fb69-4e0a-8f00-c322c1ac6f6c + 1 + + + + + + + 9700 + -507 + 194 + 40 + + 0 + 0 + 0 + + 9700.559 + -506.59 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9d23d1ae-22d7-425b-87b9-94319dfc2a83 + Panel + Y + false + 0 + ad8b3156-b8a7-4bab-a35e-1e1cd86be6bc + 1 + + + + + + + 9720 + -289 + 194 + 40 + + 0 + 0 + 0 + + 9720.559 + -288.59 + + + + + + 1 + + 255;255;255;255 + + false + false + true + true + false + true + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + a618183a-b85f-4456-b013-679fc47f2968 + One Over X + One Over X + + + + + + 8725 + -432 + 88 + 28 + + + 8768 + -418 + + + + + + Input value + 94a09bc3-37d5-4bb1-8ddf-529c764033c3 + Value + Value + false + 36f8c5c0-0f87-497f-958b-5571daee768c + 1 + + + + + + 8727 + -430 + 29 + 24 + + + 8741.5 + -418 + + + + + + + + Output value + e4069cf6-715a-492e-8d3b-7d4b26110d1a + Result + Result + false + 0 + + + + + + 8780 + -430 + 31 + 24 + + + 8795.5 + -418 + + + + + + + + + + + + 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 + 023de912-35f2-4457-b69e-c2a19bc0ceb3 + Evaluate Length + Evaluate Length + + + + + + 8869 + -1849 + 149 + 64 + + + 8954 + -1817 + + + + + + Curve to evaluate + a2a53b3c-d86b-4304-9860-16f8682523fc + Curve + Curve + false + 4bab40a8-1d93-412b-a75b-c6b4e84ce749 + 1 + + + + + + 8871 + -1847 + 71 + 20 + + + 8906.5 + -1837 + + + + + + + + Length factor for curve evaluation + db110c95-56de-4890-9573-25516634ed70 + Length + Length + false + 0 + + + + + + 8871 + -1827 + 71 + 20 + + + 8906.5 + -1817 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 265af9b0-8be7-4f45-b9cd-d93ee52d78fa + Normalized + Normalized + false + 0 + + + + + + 8871 + -1807 + 71 + 20 + + + 8906.5 + -1797 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + debc2dec-4e90-40f5-a5aa-76bc7ab566f3 + Point + Point + false + 0 + + + + + + 8966 + -1847 + 50 + 20 + + + 8991 + -1837 + + + + + + + + Tangent vector at the specified length + 334572fe-7aec-4b33-9741-180783b39007 + Tangent + Tangent + false + 0 + + + + + + 8966 + -1827 + 50 + 20 + + + 8991 + -1817 + + + + + + + + Curve parameter at the specified length + efbe33a7-ab31-434e-b3d1-fbd98f3bc25c + Parameter + Parameter + false + 0 + + + + + + 8966 + -1807 + 50 + 20 + + + 8991 + -1797 + + + + + + + + + + + + 758d91a0-4aec-47f8-9671-16739a8a2c5d + Format + + + + + Format some data using placeholders and formatting tags + true + a0d0d610-33cd-4602-8274-045cccffcea7 + Format + Format + + + + + + 9539 + -521 + 130 + 64 + + + 9631 + -489 + + + + + + 3 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 7fa15783-70da-485c-98c0-a099e6988c3e + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + + + + + Text format + fa9f2870-3351-4619-a252-de40fae528e2 + Format + Format + false + 0 + + + + + + 9541 + -519 + 78 + 20 + + + 9580 + -509 + + + + + + 1 + + + + + 1 + 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