From 5ee63510cb1b5ddbc4cd2d1ea84011d9f349d36f Mon Sep 17 00:00:00 2001 From: 0000OOOO0000 <63518686+0000OOOO0000@users.noreply.github.com> Date: Thu, 17 Nov 2022 21:31:49 +0200 Subject: [PATCH] =?UTF-8?q?XHG.=E2=A0=80=E2=B5=99=E2=A0=80=E2=88=B7?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E2=8A=9A=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E1=B4=A5=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=E2=9C=A4=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1?= =?UTF-8?q?=E1=97=B4=E2=A0=80=E2=B5=99=E2=A0=80=E1=99=8F=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80=E2=97=AF=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E1=91=90=E1=91=95=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80=D0=98N=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E1=B4=A5=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E1=97=B1=E1=97=B4=E2=A0=80=E2=B5=99=E2=A0=80=EA=97=B3=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=EA=96=B4=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=9D?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E2=97=AF=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E1=97=B1=E1=97=B4=E2=A0=80=E2=B5=99=E2=A0=80=E1=B4=A5=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=E1=91=8E=E2=A0=80=E2=B5=99=E2=A0=80=E2=9C=A4?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=A9=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E1=97=AF=E2=A0=80=E2=B5=99=E2=A0=80=E1=B4=A5=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80=E1=91=8E=E2=A0=80=E2=B5=99=E2=A0=80=E1=91=90=E1=91=95?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E2=97=AF=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E2=97=AF=E2=A0=80=E2=B5=99=E2=A0=80=E1=91=90=E1=91=95=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=E1=91=8E=E2=A0=80=E2=B5=99=E2=A0=80=E1=B4=A5?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=AF=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E1=97=A9=E2=A0=80=E2=B5=99=E2=A0=80=E2=9C=A4=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80=E1=91=8E=E2=A0=80=E2=B5=99=E2=A0=80=E1=B4=A5=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E2=97=AF=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=9D=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80=EA=96=B4=E2=A0=80=E2=B5=99=E2=A0=80=EA=97=B3=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E1=B4=A5=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=D0=98N=E2=A0=80=E2=B5=99=E2=A0=80=E1=91=90?= =?UTF-8?q?=E1=91=95=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4=E2=A0=80?= =?UTF-8?q?=E2=B5=99=E2=A0=80=E2=97=AF=E2=A0=80=E2=B5=99=E2=A0=80=E1=99=8F?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80=E2=9C=A4=E2=A0=80=E2=B5=99=E2=A0=80=E1=97=B1=E1=97=B4?= =?UTF-8?q?=E2=A0=80=E2=B5=99=E2=A0=80=E1=B4=A5=E2=A0=80=E2=B5=99=E2=A0=80?= =?UTF-8?q?=E2=8A=9A=E2=A0=80=E2=B5=99=E2=A0=80=E2=88=B7=E2=A0=80=E2=B5=99?= =?UTF-8?q?=E2=A0=80.GHX?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ⠀.GHX | 271539 +++++++++++++++ ...ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ.GHX.7Z | Bin 0 -> 636845 bytes 2 files changed, 271539 insertions(+) create mode 100644 ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/XHG.⠀ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ⠀.GHX create mode 100644 ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/Z7.XHG.ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ◯ⵙ◯ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ.GHX.7Z diff --git a/ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/XHG.⠀ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ⠀.GHX b/ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/XHG.⠀ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ⠀.GHX new file mode 100644 index 00000000..5e6ebeda --- /dev/null +++ b/ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/XHG.⠀ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ⠀.GHX @@ -0,0 +1,271539 @@ + + + + + + + + 0 + 2 + 2 + + + + + + + 1 + 0 + 7 + + + + + + 0141bd6a-9454-4dc0-8c73-3979d84677f6 + Shaded + 0 + + 255;217;217;217 + + + 255;207;207;207 + + + + + + 637917650197246944 + + XHG.⠀ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ⠀.GHX + + + + + 0 + + + + + + -27130 + -58260 + + 2.408395 + + + + + 0 + + + + + + + 0 + + + + + 3 + + + + + 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 + + + + + Heteroptera, Version=0.7.2.4, Culture=neutral, PublicKeyToken=null + 0.7.2.4 + Amin Bahrami [Studio Helioripple] + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + Heteroptera + 0.7.2.4 + + + + + Bengesht, Version=3.3.0.0, Culture=neutral, PublicKeyToken=null + 3.3.0.0 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + 2597 + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d16b55bb-51fe-4ac6-8df8-106c39c9f1b3 + 55f1c7e0-6646-4cc8-8195-3ff0bc546430 + 845f5ae1-563a-4eba-9bd2-1f364dec84f2 + edfbaf71-ae8b-4a14-ba3d-8ffe64b466be + e7334885-e509-483f-84d0-4a94b25496cd + 3d00de67-1b84-4a16-9ee5-ac49623b276f + f6105af9-d019-412d-a4d5-869389b4cdff + aa254562-60f6-4c89-a9d1-4877b22d0965 + 561c9228-a8c7-4f00-aef1-86f36b7ee383 + e286d01e-ac40-479b-9506-fea4034f1b81 + 52750a6f-5ea3-4565-adf8-d4b9e638e651 + 411d90fa-8cc1-4cb8-bd27-6b8dc7a06aa1 + c94ffcf9-b23b-46c2-811d-31aaa5f5a344 + a2ce29db-0bb4-45cc-b847-4fc1ab58da24 + d8bc2abf-e181-4e18-a4c1-a10c87fa5684 + c973b3e6-f6c6-403b-9b41-2df880c866c5 + d94e12f5-f115-49e1-888d-d295271d3c2c + 687fd906-a476-4bc8-aa83-54c5f9def255 + 4c1818fc-287e-4806-9c3b-c20208f55d9b + 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a + 22ecfb22-3828-4f14-bd18-9adf65ea9752 + 3213337e-1bae-46fd-830e-f94604f5e33d + 5d8a3032-ae52-4a32-8a92-6efd0477944f + 96ce86c7-f8da-4702-898f-eea30eb72e9d + a11ce8ed-74c0-4462-93d2-6a1c956c94db + 92440245-235b-43bd-ab87-42b94200e662 + 158caa93-9474-4146-9b50-bbbca76f9569 + 0a6bd2fe-814c-4596-a71e-03c86ba67ae1 + 7cbb25b0-6e3a-46b7-a8a4-d0d154f0b149 + 9d26cb73-611a-4665-9b67-857be2acbffc + 1580bda1-2c1c-442f-93be-e3805e9c820a + a3b8c156-186c-41a3-8e18-451de09912e5 + d10e7f8a-b9bf-4107-9863-64eafdf1af76 + 60b332bf-2cf3-433f-b445-51fdd375691d + 34 + 52e0f8d4-f1e0-427a-b13b-af6836c3d55b + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 + 8ae45ee4-1438-4251-b4eb-e20159e46a74 + 58d39e6b-ee89-4621-9a03-8f77186ab6b0 + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 7d9f14c1-751a-4f85-90ce-62bc5ff4c00e + eeb5a2ff-80de-44bd-8725-62ba3fb70b8d + a3732d3e-0c50-481d-a1d6-1bcf28ea4e2c + 0542f2c7-d784-4468-81af-6cd229c065b0 + e4b4f0ff-76ef-4291-88b8-b23bc123220a + af15813d-d7ce-4378-a915-77fd178fb218 + 8752c3dd-f212-4d33-9640-6da816769b71 + 2a1ae95f-574e-4ccc-8ffd-31d4ae4bee19 + 50b7ed13-0a6a-4a2e-9366-e47c845e770f + 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 + 7f8f96f2-7fa2-46ff-8c8e-60da9fe78fb2 + c6a0d1ce-c8f1-4423-b00e-8925b5c3134e + 9f0325b6-6ebf-406a-99eb-5f119bb3fffe + a076fb8b-40bd-4f35-b602-1c30985b9780 + c24bd498-f66f-4f16-a577-24dff54751e9 + 55bbfe92-8192-4209-9cc4-1d4e68bcbe85 + 533a2de5-095d-4b29-8e2a-fcbc2cd6a144 + 53e40d4e-8d4b-48dc-9719-1602db6139bb + 50cc850b-f636-468a-b97a-e4cd5d02cc7a + fd4c3ddc-1ea5-4192-a416-b0fdb190ae82 + bd8802e7-f2ec-4e84-bccc-f0b136310370 + d97d64b8-f977-4888-92e0-872cdfcd9995 + 6010a711-ea32-4573-ba8b-0c51a52d95bd + 89e871e1-25b0-4904-8268-ab7f1e99953a + 151700ae-7136-49e1-a91f-f3c97532cf24 + fe002072-eada-42e5-8344-3f109b1d3e3b + a3416d5a-59f0-4afa-ac1b-577f9f8b884d + 45ba074d-cd38-4d2a-b299-39c960d29e58 + bb7187be-64de-4991-b04a-2d4022623ab0 + f6da17c7-b784-461f-a8c3-bb7be187a8a0 + d8aa61ac-caf9-42ab-8d0a-f0154b7926bf + 379554e2-95a0-431e-8e6a-34e3a3935fba + b51dc070-4ff7-4331-a77e-8e7a0f5aef8e + f3870545-9824-4694-9fee-7a43d6ed2670 + 81598716-14eb-41f3-bc1c-588c7c0dafb9 + 1f25a485-df54-4c1a-8980-90082d91f997 + d1afeb2b-afdb-482a-a9f6-8c00b33253e7 + 224abc3f-a87a-45f8-993d-3e12e7ef8b3f + 1d2ae44f-a2c0-44ec-a769-3a3d92398116 + 43 + 70f42e34-647a-47f2-a756-11ca82a60b23 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + fde3255c-a22e-4e12-a717-c573c914426d + b209923c-3a28-4705-b6c2-2d7aa0c13cc7 + e59d7b8c-92a9-480e-88e5-0c1a30d07bfb + 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 + ffbd0ca9-452d-476b-aad7-d52654097132 + 25f75636-f71c-4e68-bc9c-52d7265bce09 + 959f42b6-9f27-447c-ad2e-ce1242d74400 + 81e762e6-cf7c-4ae1-9584-48cd20085421 + 115f0245-8d8d-4e08-9afd-473c7a08d0bd + aca130b6-7d71-401a-8538-59d8d28c145e + 035d0b92-726f-45b3-9b43-f98bcdec0cf5 + a0d04d37-b40d-44d4-8c0d-b1f4df33fe55 + e8565a94-1105-499b-9121-d17b6a40c779 + 12a155cd-954b-41b5-9ebf-dfadc3960e64 + 6c6e888a-ea28-4db0-abf5-a2a050ebc430 + 9c4b4d0a-421b-4c53-895c-1221d23a8c23 + af294dd2-b04a-4838-88c8-0277f80bc3b0 + a6eac927-8a3c-4732-b1a8-90e4b25850df + 5bda71fa-0d3a-4287-94fd-b5d399b8202f + d23b18ad-2e9d-4af3-a33d-e2ae8d08d84a + eedba66f-c09e-4b6a-a6f6-e360e1607858 + a3be89c0-1a37-4050-ae27-b5fc88bad330 + 22 + 29331690-919f-48ab-ad76-1dc739965de3 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ffbd0ca9-452d-476b-aad7-d52654097132 + 25f75636-f71c-4e68-bc9c-52d7265bce09 + 959f42b6-9f27-447c-ad2e-ce1242d74400 + 81e762e6-cf7c-4ae1-9584-48cd20085421 + 115f0245-8d8d-4e08-9afd-473c7a08d0bd + aca130b6-7d71-401a-8538-59d8d28c145e + 035d0b92-726f-45b3-9b43-f98bcdec0cf5 + a0d04d37-b40d-44d4-8c0d-b1f4df33fe55 + e8565a94-1105-499b-9121-d17b6a40c779 + 12a155cd-954b-41b5-9ebf-dfadc3960e64 + 6c6e888a-ea28-4db0-abf5-a2a050ebc430 + 6c6c28be-b01b-42e5-b60a-91c314905c9e + c27a5a9f-3110-49e1-91f7-6ebafb7c4bc0 + 13 + fde3255c-a22e-4e12-a717-c573c914426d + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 + b95d8a38-41aa-4736-824a-ba59abe8a164 + 93c43765-186a-4186-a1a9-e77f1750e486 + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 65df7317-6c88-4fda-8fed-06e7d0688f08 + 6897aa6f-691a-4a9e-9c03-e572cb62cff8 + b707e471-1378-4bfb-bd26-10f57a654a96 + 5af3936c-a114-48c9-97e6-a71d4495fe1c + 40fce33c-72c8-4b9e-b056-d06a290937b2 + 1d60a251-59c1-4374-b24a-8b67b3ca92c6 + 5dab1729-964c-4894-9f64-653823a0fdac + 9ed44b3d-ce1f-4cd3-8d86-8bb364de6405 + bbb3902c-2630-4a7b-b951-351a62cef558 + cf4956f9-6a60-42d5-a932-0ea9a5d5ebed + fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 + 7ed3dd99-417d-4769-a70b-0badf48c5649 + 8f08f378-fe83-47ee-ba70-f262beab4dd0 + 3dc26939-4bac-457f-9c7c-219b4dc86741 + 9b8fe626-a4bb-4fca-8d8b-ac2298cbf3cb + 771bb5a4-0a8a-4a41-94bd-0e0b97b92304 + 6fb580be-4b7e-48e0-a5cf-431967be43a9 + 077563a1-d2cf-43fe-a93d-642285cd95b7 + b6d0afa1-3dec-42e7-9c93-de08ed9790f2 + 4d6b9775-db5a-464b-b178-f930dd568ce2 + 84e913bd-a348-462a-a472-eab93956daf2 + beb498f4-7162-49c3-842b-a972d8ad71d9 + f9713408-b850-40b1-ac2d-56af5c03c800 + 0b20088e-1be7-424d-ba3b-c0fdd9da23ae + 506eabeb-a640-43fd-9af7-b2232e3fa71b + e86ea7ed-38b8-40b5-bb42-623a7c8059c6 + a6d884fb-514f-42c3-86a9-71ade0d41a40 + b379a0ac-4016-4778-8d99-3b57d052a769 + 1ceffb1c-921e-4c1d-ab03-e05135b9b5e0 + 82046283-082e-419e-a05f-023d3a681021 + 41ca37bd-04a2-4730-a104-ccfdfebcb019 + 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 + baea9c8f-4e59-442d-b5b4-d125979bf466 + 12c0d088-f108-4075-bb85-315d570d97ea + 41093a5b-4ba4-4dfb-a5f8-1bd792353689 + 39d1ba4f-7fac-4207-98a7-67ceea5ef36c + 42ced415-8369-4764-bd84-2655a9abcdd0 + 97be2d03-c12a-4c13-bcf1-179c5148fad7 + f9312303-3ba0-4d12-bf2a-4df8dd780ec7 + a0d0df39-1b14-428e-bf37-398cec030283 + 6717a073-4979-4ab7-8cca-94ec28dd910e + 1e7003ad-1005-4315-9274-8625081eb42d + c7834162-f8d6-4396-a928-93ded1c673be + d49b543b-255e-4b1e-afad-506fdeb4a087 + 9033362e-88b7-4ca5-82ec-e83b690b9e1f + e9edf9da-696f-47bd-a5e5-79c7729f8e89 + aacff86f-b554-4395-9c67-12ea7491563a + 501fc599-56aa-405b-ad58-777fa1c4d11c + 47a743e6-2557-42d2-a2c1-210a6a941e82 + 1dfb13cb-b934-40bc-a126-3ef4f67aa6cb + af01224e-c0e0-4809-ad30-4e4bd74d845a + 2e1813eb-afd7-4c67-ae5d-0aea5806a643 + 5365386e-73e6-497c-b44a-34b85df3bb28 + 3b624a89-a10e-4423-8d23-23c665342bea + 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 + 4a81f039-0b6b-406b-837f-1176119811ff + e82225cb-a1a5-4ad3-b28d-40b2efc10203 + 47309ff2-7be5-4758-9fcf-1729ec8314b8 + 98efd460-a431-49c8-aded-a62a77c59e5f + 4ae5300f-9b3f-4375-87a5-52ce195ec59e + 929e2d4c-e84d-4d02-91ac-5e7752c650a1 + 17740f5f-06e3-439c-b530-05a592105abb + 86b9cd83-4404-471f-8e4d-246d772737f9 + 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 + d468ce15-4157-4fb6-a1ff-1a56b601419e + 1dd517ad-ac6e-4fd9-a4ca-f152c12db602 + e73e0f67-8dcc-4b89-a973-43217655652f + 5f2c0952-b956-47bf-90b0-5d5a4cb6cee6 + 51d57fa6-afda-4229-afb4-90a25c9c6b8a + e4026ef5-c10c-464e-9823-6797237c75c6 + a50ee4ed-1074-44c4-b42b-16f559369733 + da9c2d00-64fe-44a7-9401-d326fcdf51fa + 040c5d9b-07ad-4ae2-aad9-21a946416a98 + 9bd8b728-8787-4303-ac8e-82b11f531453 + 74c717fe-6a47-4ebf-9159-b915086fdaa4 + bf3127fe-bbed-4fae-86c0-6819ff185956 + c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 + 2077772c-8556-4e37-b44d-c0a0d5d206ff + e5bb3651-4fcd-4da1-9d37-64323a4cbaec + 441bf542-5076-4985-9937-0bb3a042b678 + 75156aff-6128-4635-ba01-66f6e62c8b34 + 31ebe528-d55d-4dff-927d-a48736be9cc3 + 8487c049-6563-42c2-982d-a3d473c55e0b + 34ec62fd-1b45-4131-8bb3-067f9ae32190 + be799453-059d-4d40-b651-349c7cf77c9d + 3f3172f7-bff5-4e81-85a2-58943326f0a7 + c9632403-1835-45bf-a8da-51dd473c2104 + 3579a27a-9991-4bf3-94de-84223b4b0a72 + b7462a41-d690-4e75-b5bb-082a0185ec77 + 5e698680-d615-4e2a-aed9-fd28b0220a65 + ca297271-f533-4d51-a8fc-bdb7b204740c + 9e3117d6-b3b4-4adc-84f3-2835a988e21e + c8c317c7-391f-4b40-93d8-4c1994caecef + 3b490da6-b955-4f9c-bddc-980384007a01 + c2fc9a4e-ff43-4e6b-ba22-4562fab58558 + 99 + 61bcf775-8597-4b5c-a39e-6aa822a67ed7 + Group + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 + true + Number + Number + false + 96971adb-dc6f-4220-b87f-875d4c7c2611 + 1 + + + + + + 4293 + 7003 + 50 + 24 + + + 4318.785 + 7015.021 + + + + + + 1 + + + + + 1 + {0} + + + + + 1024 + + + + + + + + + + + + + aaa665bd-fd6e-4ccb-8d2c-c5b33072125d + Curvature + + + + + Evaluate the curvature of a curve at a specified parameter. + true + b95d8a38-41aa-4736-824a-ba59abe8a164 + true + Curvature + Curvature + + + + + + 4249 + 6833 + 137 + 64 + + + 4319 + 6865 + + + + + + Curve to evaluate + 19c1983b-2d95-47e4-8f56-f9ebcbdf4b86 + true + Curve + Curve + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4251 + 6835 + 53 + 30 + + + 4279 + 6850 + + + + + + + + Parameter on curve domain to evaluate + 115baf5b-eaad-418a-8025-23991d12e2ee + true + Parameter + Parameter + false + 72571f4d-e390-4273-afe8-daa1b335cb89 + 1 + + + + + + 4251 + 6865 + 53 + 30 + + + 4279 + 6880 + + + + + + + + Point on curve at {t} + 530f89ee-5568-4c47-990d-ddab27ed409e + true + Point + Point + false + 0 + + + + + + 4334 + 6835 + 50 + 20 + + + 4360.5 + 6845 + + + + + + + + Curvature vector at {t} + 0740a746-92bd-42a5-be7d-7c4afad1589c + true + Curvature + Curvature + false + 0 + + + + + + 4334 + 6855 + 50 + 20 + + + 4360.5 + 6865 + + + + + + + + Curvature circle at {t} + cd58e8b9-06e1-45b4-a606-81544cb9262d + true + Curvature + Curvature + false + 0 + + + + + + 4334 + 6875 + 50 + 20 + + + 4360.5 + 6885 + + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + 93c43765-186a-4186-a1a9-e77f1750e486 + true + Divide Curve + Divide Curve + + + + + + 4255 + 6916 + 125 + 64 + + + 4305 + 6948 + + + + + + Curve to divide + d0f1a5a1-14fc-4928-a5ef-8feb9f1e8e65 + true + Curve + Curve + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4257 + 6918 + 33 + 20 + + + 4275 + 6928 + + + + + + + + Number of segments + c80889e9-7d20-4519-a4fe-c7d376ff0d17 + true + Count + Count + false + 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 + 1 + + + + + + 4257 + 6938 + 33 + 20 + + + 4275 + 6948 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + 798a9bca-31a3-4cc6-b5a7-d6320e4a9c6a + true + Kinks + Kinks + false + 0 + + + + + + 4257 + 6958 + 33 + 20 + + + 4275 + 6968 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + 8f938e34-0564-4935-842c-a035ea89a910 + true + Points + Points + false + 0 + + + + + + 4320 + 6918 + 58 + 20 + + + 4350.5 + 6928 + + + + + + + + 1 + Tangent vectors at division points + c11a93a5-d484-4a27-a79d-20a0c829c1b9 + true + Tangents + Tangents + false + 0 + + + + + + 4320 + 6938 + 58 + 20 + + + 4350.5 + 6948 + + + + + + + + 1 + Parameter values at division points + 72571f4d-e390-4273-afe8-daa1b335cb89 + true + Parameters + Parameters + false + 0 + + + + + + 4320 + 6958 + 58 + 20 + + + 4350.5 + 6968 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + true + 2 + Curve + Curve + false + a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 + 1 + + + + + + 4291 + 7432 + 53 + 24 + + + 4327.5 + 7444.836 + + + + + + + + + + 23862862-049a-40be-b558-2418aacbd916 + Deconstruct Arc + + + + + Retrieve the base plane, radius and angle domain of an arc. + true + 65df7317-6c88-4fda-8fed-06e7d0688f08 + true + Deconstruct Arc + Deconstruct Arc + + + + + + 4261 + 6752 + 114 + 64 + + + 4301 + 6784 + + + + + + Arc or Circle to deconstruct + 789da2de-584e-42a0-a38e-b29e6b35279e + true + Arc + Arc + false + cd58e8b9-06e1-45b4-a606-81544cb9262d + 1 + + + + + + 4263 + 6754 + 23 + 60 + + + 4276 + 6784 + + + + + + + + Base plane of arc or circle + 35a8e793-f0c7-4e6d-921e-18109ea98ceb + true + Base Plane + Base Plane + false + 0 + + + + + + 4316 + 6754 + 57 + 20 + + + 4346 + 6764 + + + + + + + + Radius of arc or circle + 3654a9c9-a7f1-48df-8fa7-73ed1663a837 + true + Radius + Radius + false + 0 + + + + + + 4316 + 6774 + 57 + 20 + + + 4346 + 6784 + + + + + + + + Angle domain (in radians) of arc + 0a990d82-8970-40a7-827e-8fb7dedd1a8c + true + Angle + Angle + false + 0 + + + + + + 4316 + 6794 + 57 + 20 + + + 4346 + 6804 + + + + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + 6897aa6f-691a-4a9e-9c03-e572cb62cff8 + true + One Over X + One Over X + + + + + + 4268 + 6256 + 100 + 28 + + + 4317 + 6270 + + + + + + Input value + 605ebcc2-3259-4435-82ad-d9a5c07f3466 + true + Value + Value + false + 4ae5300f-9b3f-4375-87a5-52ce195ec59e + 1 + + + + + + 4270 + 6258 + 32 + 24 + + + 4287.5 + 6270 + + + + + + + + Output value + 65383476-e61d-4ddb-9403-69c36989070f + true + Result + Result + false + 0 + + + + + + 4332 + 6258 + 34 + 24 + + + 4350.5 + 6270 + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + b707e471-1378-4bfb-bd26-10f57a654a96 + true + Quick Graph + Quick Graph + false + 0 + 6fb580be-4b7e-48e0-a5cf-431967be43a9 + 1 + + + + + + 4243 + 6074 + 150 + 150 + + + 4243.486 + 6074.676 + + 0 + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + 5af3936c-a114-48c9-97e6-a71d4495fe1c + true + Line + Line + + + + + + 4261 + 6320 + 114 + 44 + + + 4333 + 6342 + + + + + + Line start point + d77174e3-2f21-4b5a-a69b-36c3db06d110 + true + Start Point + Start Point + false + 530f89ee-5568-4c47-990d-ddab27ed409e + 1 + + + + + + 4263 + 6322 + 55 + 20 + + + 4292 + 6332 + + + + + + + + Line end point + bcccc128-d879-4b75-8cca-bb5aac27fe03 + true + End Point + End Point + false + 35a8e793-f0c7-4e6d-921e-18109ea98ceb + 1 + + + + + + 4263 + 6342 + 55 + 20 + + + 4292 + 6352 + + + + + + + + Line segment + ee24630f-f4f0-4780-abab-e012c957d4c6 + true + Line + Line + false + 0 + + + + + + 4348 + 6322 + 25 + 40 + + + 4362 + 6342 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 1d60a251-59c1-4374-b24a-8b67b3ca92c6 + true + Line SDL + Line SDL + + + + + + 4257 + 5120 + 122 + 64 + + + 4337 + 5152 + + + + + + Line start point + e22555ed-ce09-4f6a-86b7-694208f85afe + true + Start + Start + false + 530f89ee-5568-4c47-990d-ddab27ed409e + 1 + + + + + + 4259 + 5122 + 63 + 20 + + + 4300 + 5132 + + + + + + + + Line tangent (direction) + a5bec1ae-8462-420c-be22-d4988f1de771 + true + Direction + Direction + false + 61f9e29f-feb3-4122-9ade-977c75c70121 + 1 + + + + + + 4259 + 5142 + 63 + 20 + + + 4300 + 5152 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 20fc2090-edc5-4ea6-b00a-6537afd6b455 + -X + true + Length + Length + false + 501fc599-56aa-405b-ad58-777fa1c4d11c + 1 + + + + + + 4259 + 5162 + 63 + 20 + + + 4300 + 5172 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 76eb6709-1b5d-4393-a09b-053dd6f6870c + true + Line + Line + false + 0 + + + + + + 4352 + 5122 + 25 + 60 + + + 4366 + 5152 + + + + + + + + + + + + 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 + 5dab1729-964c-4894-9f64-653823a0fdac + true + Evaluate Length + Evaluate Length + + + + + + 4246 + 4856 + 144 + 64 + + + 4320 + 4888 + + + + + + Curve to evaluate + 9629717c-17ba-4da9-b279-417bda8b5269 + true + Curve + Curve + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4248 + 4858 + 57 + 20 + + + 4278 + 4868 + + + + + + + + Length factor for curve evaluation + 80b0ad13-9823-4b7a-b40a-3b34377e5d5e + true + Length + Length + false + 0 + + + + + + 4248 + 4878 + 57 + 20 + + + 4278 + 4888 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + a7b905ec-d2c6-4035-978f-8400334a8ca8 + true + Normalized + Normalized + false + 0 + + + + + + 4248 + 4898 + 57 + 20 + + + 4278 + 4908 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + c8092559-5804-445a-b39b-40959ab7673b + true + Point + Point + false + 0 + + + + + + 4335 + 4858 + 53 + 20 + + + 4363 + 4868 + + + + + + + + Tangent vector at the specified length + 9b982a23-a369-4aae-89b4-1d10c80fafd6 + true + Tangent + Tangent + false + 0 + + + + + + 4335 + 4878 + 53 + 20 + + + 4363 + 4888 + + + + + + + + Curve parameter at the specified length + 2059ff87-cc57-4684-a6cc-860c3e9f8fd4 + true + Parameter + Parameter + false + 0 + + + + + + 4335 + 4898 + 53 + 20 + + + 4363 + 4908 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 9ed44b3d-ce1f-4cd3-8d86-8bb364de6405 + true + Interpolate + Interpolate + + + + + + 4255 + 4754 + 125 + 84 + + + 4322 + 4796 + + + + + + 1 + Interpolation points + 7211f213-a1bc-47a9-a942-2e9f99f244ea + true + Vertices + Vertices + false + c8092559-5804-445a-b39b-40959ab7673b + 1 + + + + + + 4257 + 4756 + 50 + 20 + + + 4283.5 + 4766 + + + + + + + + Curve degree + 1d00875e-8c8f-4255-8021-f9eace27906e + true + Degree + Degree + false + 0 + + + + + + 4257 + 4776 + 50 + 20 + + + 4283.5 + 4786 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + b55b69f0-6548-4440-86b5-e2c5bca673d1 + true + Periodic + Periodic + false + 0 + + + + + + 4257 + 4796 + 50 + 20 + + + 4283.5 + 4806 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 5fa7d12e-58e2-4597-bf61-f6aac4ca69b6 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4257 + 4816 + 50 + 20 + + + 4283.5 + 4826 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + c1394789-448d-4011-a7a5-a9c725907596 + true + Curve + Curve + false + 0 + + + + + + 4337 + 4756 + 41 + 26 + + + 4359 + 4769.333 + + + + + + + + Curve length + 321f9f82-5399-40aa-9b71-d9fded5fdfe2 + true + Length + Length + false + 0 + + + + + + 4337 + 4782 + 41 + 27 + + + 4359 + 4796 + + + + + + + + Curve domain + a58dd5b1-6de2-4a22-a4c9-b6e6bb4ea3ef + true + Domain + Domain + false + 0 + + + + + + 4337 + 4809 + 41 + 27 + + + 4359 + 4822.667 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 + b95d8a38-41aa-4736-824a-ba59abe8a164 + 93c43765-186a-4186-a1a9-e77f1750e486 + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 65df7317-6c88-4fda-8fed-06e7d0688f08 + 6897aa6f-691a-4a9e-9c03-e572cb62cff8 + b707e471-1378-4bfb-bd26-10f57a654a96 + 42201d77-7bc4-437d-baaf-c8290f91a477 + 5af3936c-a114-48c9-97e6-a71d4495fe1c + dc8b9948-0b61-495f-bb5c-30271010864e + 40fce33c-72c8-4b9e-b056-d06a290937b2 + 1d60a251-59c1-4374-b24a-8b67b3ca92c6 + 90f74d47-d623-4b80-a1f4-bde635cc690f + 5dab1729-964c-4894-9f64-653823a0fdac + 9ed44b3d-ce1f-4cd3-8d86-8bb364de6405 + 84e913bd-a348-462a-a472-eab93956daf2 + beb498f4-7162-49c3-842b-a972d8ad71d9 + b6d0afa1-3dec-42e7-9c93-de08ed9790f2 + 4d6b9775-db5a-464b-b178-f930dd568ce2 + f9713408-b850-40b1-ac2d-56af5c03c800 + 0b20088e-1be7-424d-ba3b-c0fdd9da23ae + 6717a073-4979-4ab7-8cca-94ec28dd910e + 1e7003ad-1005-4315-9274-8625081eb42d + 17740f5f-06e3-439c-b530-05a592105abb + 86b9cd83-4404-471f-8e4d-246d772737f9 + 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 + d468ce15-4157-4fb6-a1ff-1a56b601419e + 1dd517ad-ac6e-4fd9-a4ca-f152c12db602 + cf4956f9-6a60-42d5-a932-0ea9a5d5ebed + fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 + 771bb5a4-0a8a-4a41-94bd-0e0b97b92304 + 51d57fa6-afda-4229-afb4-90a25c9c6b8a + e4026ef5-c10c-464e-9823-6797237c75c6 + a50ee4ed-1074-44c4-b42b-16f559369733 + da9c2d00-64fe-44a7-9401-d326fcdf51fa + 040c5d9b-07ad-4ae2-aad9-21a946416a98 + 9bd8b728-8787-4303-ac8e-82b11f531453 + 74c717fe-6a47-4ebf-9159-b915086fdaa4 + bf3127fe-bbed-4fae-86c0-6819ff185956 + c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 + 2077772c-8556-4e37-b44d-c0a0d5d206ff + f12959c2-8cc4-4ce2-896d-7ff1a4aa1903 + 42 + bbb3902c-2630-4a7b-b951-351a62cef558 + Group + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + cf4956f9-6a60-42d5-a932-0ea9a5d5ebed + true + Number + Number + false + 72d5d764-919b-4ea3-a858-fbc1bdff9ef5 + 1 + + + + + + 4293 + 4403 + 50 + 24 + + + 4318 + 4415.474 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 + true + Curve + Curve + false + c1394789-448d-4011-a7a5-a9c725907596 + 1 + + + + + + 4293 + 4445 + 50 + 24 + + + 4318 + 4457.146 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 7ed3dd99-417d-4769-a70b-0badf48c5649 + true + Line SDL + Line SDL + + + + + + 4257 + 3101 + 122 + 64 + + + 4337 + 3133 + + + + + + Line start point + a6313991-5fed-473e-8203-12902cc0ca23 + true + Start + Start + false + c8092559-5804-445a-b39b-40959ab7673b + 1 + + + + + + 4259 + 3103 + 63 + 20 + + + 4300 + 3113 + + + + + + + + Line tangent (direction) + c5b0bce5-96d7-447a-9757-7e6cc6e689aa + true + Direction + Direction + false + c7834162-f8d6-4396-a928-93ded1c673be + 1 + + + + + + 4259 + 3123 + 63 + 20 + + + 4300 + 3133 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + e968eda2-2fd9-48da-99dc-b168c5ce158c + ABS(X) + true + Length + Length + false + 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 + 1 + + + + + + 4259 + 3143 + 63 + 20 + + + 4300 + 3153 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 3fe9ed31-c050-492d-94ea-c80218f2b732 + true + Line + Line + false + 0 + + + + + + 4352 + 3103 + 25 + 60 + + + 4366 + 3133 + + + + + + + + + + + + 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 + 8f08f378-fe83-47ee-ba70-f262beab4dd0 + true + Evaluate Length + Evaluate Length + + + + + + 4246 + 2778 + 144 + 64 + + + 4320 + 2810 + + + + + + Curve to evaluate + 0d9a8a58-4d0a-4434-a450-8e98b436a412 + true + Curve + Curve + false + 441bf542-5076-4985-9937-0bb3a042b678 + 1 + + + + + + 4248 + 2780 + 57 + 20 + + + 4278 + 2790 + + + + + + + + Length factor for curve evaluation + a1aca457-48b1-4d2a-a0cc-9aa18d7bfcdf + true + Length + Length + false + 0 + + + + + + 4248 + 2800 + 57 + 20 + + + 4278 + 2810 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 1188ad96-f0f1-40b7-810f-9b69492635d4 + true + Normalized + Normalized + false + 0 + + + + + + 4248 + 2820 + 57 + 20 + + + 4278 + 2830 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 18921b3c-23a8-4466-aa33-85dea6f5193e + true + Point + Point + false + 0 + + + + + + 4335 + 2780 + 53 + 20 + + + 4363 + 2790 + + + + + + + + Tangent vector at the specified length + aa8f58ce-50c4-4bf8-b24d-039a80bdcd54 + true + Tangent + Tangent + false + 0 + + + + + + 4335 + 2800 + 53 + 20 + + + 4363 + 2810 + + + + + + + + Curve parameter at the specified length + 59b0d0c9-4175-42e9-936a-02e0b1b5547b + true + Parameter + Parameter + false + 0 + + + + + + 4335 + 2820 + 53 + 20 + + + 4363 + 2830 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 3dc26939-4bac-457f-9c7c-219b4dc86741 + true + Interpolate + Interpolate + + + + + + 4255 + 1775 + 125 + 84 + + + 4322 + 1817 + + + + + + 1 + Interpolation points + 9ce862c7-e83a-44f6-a90e-5d01a0ac4cb2 + true + Vertices + Vertices + false + 75156aff-6128-4635-ba01-66f6e62c8b34 + 1 + + + + + + 4257 + 1777 + 50 + 20 + + + 4283.5 + 1787 + + + + + + + + Curve degree + 035ee24e-d16b-4cf3-b607-7bc2fd7f69d6 + true + Degree + Degree + false + 0 + + + + + + 4257 + 1797 + 50 + 20 + + + 4283.5 + 1807 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 280d1a76-ca69-4ee8-9b1c-a3fce38ab5c9 + true + Periodic + Periodic + false + 0 + + + + + + 4257 + 1817 + 50 + 20 + + + 4283.5 + 1827 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 9bf7f1ee-f145-4fe2-beef-c59418629ac7 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4257 + 1837 + 50 + 20 + + + 4283.5 + 1847 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c + true + Curve + Curve + false + 0 + + + + + + 4337 + 1777 + 41 + 26 + + + 4359 + 1790.333 + + + + + + + + Curve length + 38bf6ac5-4357-469b-9bba-7bba715cb5d1 + true + Length + Length + false + 0 + + + + + + 4337 + 1803 + 41 + 27 + + + 4359 + 1817 + + + + + + + + Curve domain + 7a5c3ecf-7823-4983-873e-ab2b1c6c868c + true + Domain + Domain + false + 0 + + + + + + 4337 + 1830 + 41 + 27 + + + 4359 + 1843.667 + + + + + + + + + + + + dde71aef-d6ed-40a6-af98-6b0673983c82 + Nurbs Curve + + + + + Construct a nurbs curve from control points. + true + 9b8fe626-a4bb-4fca-8d8b-ac2298cbf3cb + true + Nurbs Curve + Nurbs Curve + + + + + + 4259 + 4672 + 118 + 64 + + + 4319 + 4704 + + + + + + 1 + Curve control points + 2af9f5bc-8bea-48f0-8d9a-d37a5ba2a29f + true + Vertices + Vertices + false + c8092559-5804-445a-b39b-40959ab7673b + 1 + + + + + + 4261 + 4674 + 43 + 20 + + + 4284 + 4684 + + + + + + + + Curve degree + e692fbe6-a99c-4693-9a36-98b14d2f9d42 + true + Degree + Degree + false + 0 + + + + + + 4261 + 4694 + 43 + 20 + + + 4284 + 4704 + + + + + + 1 + + + + + 1 + {0} + + + + + 3 + + + + + + + + + + + Periodic curve + b39e02b3-360a-4615-b920-7d6142b9ef32 + true + Periodic + Periodic + false + 0 + + + + + + 4261 + 4714 + 43 + 20 + + + 4284 + 4724 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resulting nurbs curve + 901accb7-a63e-4aad-ad0b-1abd083399ab + true + Curve + Curve + false + 0 + + + + + + 4334 + 4674 + 41 + 20 + + + 4356 + 4684 + + + + + + + + Curve length + e999b44b-5986-4917-a835-77c4f9bb1c4a + true + Length + Length + false + 0 + + + + + + 4334 + 4694 + 41 + 20 + + + 4356 + 4704 + + + + + + + + Curve domain + 7d47fdce-c93c-4e8b-b930-65a7b9d2c548 + true + Domain + Domain + false + 0 + + + + + + 4334 + 4714 + 41 + 20 + + + 4356 + 4724 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 771bb5a4-0a8a-4a41-94bd-0e0b97b92304 + true + Relative Differences + Relative Differences + + + + + + 4254 + 4259 + 128 + 28 + + + 4307 + 4273 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 2e382b39-db26-4f00-ad60-867949e375ae + true + Values + Values + false + c1cbf3cc-c305-48cc-a958-e9cacfba5960 + 1 + + + + + + 4256 + 4261 + 36 + 24 + + + 4275.5 + 4273 + + + + + + + + 1 + Differences between consecutive items + 52a4cb5e-e88f-43e5-bb41-82eb4d03ae2c + true + Differenced + Differenced + false + 0 + + + + + + 4322 + 4261 + 58 + 24 + + + 4352.5 + 4273 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6fb580be-4b7e-48e0-a5cf-431967be43a9 + true + Relay + + false + 65383476-e61d-4ddb-9403-69c36989070f + 1 + + + + + + 4298 + 6240 + 40 + 16 + + + 4318 + 6248 + + + + + + + + + + ab14760f-87a6-462e-b481-4a2c26a9a0d7 + Derivatives + + + + + Evaluate the derivatives of a curve at a specified parameter. + true + 077563a1-d2cf-43fe-a93d-642285cd95b7 + true + Derivatives + Derivatives + + + + + + 4226 + -9539 + 117 + 144 + + + 4296 + -9467 + + + + + + 2 + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 7 + fbac3e32-f100-4292-8692-77240a42fd1a + 16ef3e75-e315-4899-b531-d3166b42dac9 + 16ef3e75-e315-4899-b531-d3166b42dac9 + 16ef3e75-e315-4899-b531-d3166b42dac9 + 16ef3e75-e315-4899-b531-d3166b42dac9 + 16ef3e75-e315-4899-b531-d3166b42dac9 + 16ef3e75-e315-4899-b531-d3166b42dac9 + + + + + Curve to evaluate + c5ce250c-64e3-46c4-be52-06c57f3ae50e + true + Curve + Curve + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4228 + -9537 + 53 + 70 + + + 4256 + -9502 + + + + + + + + Parameter on curve domain to evaluate + 6da23971-dde5-4d70-8a0c-4a507c037d78 + true + Parameter + Parameter + false + 72571f4d-e390-4273-afe8-daa1b335cb89 + 1 + + + + + + 4228 + -9467 + 53 + 70 + + + 4256 + -9432 + + + + + + + + Point on curve at {t} + 95bfb75e-deb2-41b2-ba5e-9f8b1037d613 + true + Point + Point + false + 0 + + + + + + 4311 + -9537 + 30 + 20 + + + 4327.5 + -9527 + + + + + + + + First curve derivative at t (Velocity) + c9af63c9-0143-479e-9052-49ae8662e1b1 + true + false + First derivative + 1 + false + 0 + + + + + + 4311 + -9517 + 30 + 20 + + + 4327.5 + -9507 + + + + + + + + Second curve derivative at t (Acceleration) + 96867ac7-0810-4a7b-b16e-65dfb34d3ac7 + true + false + Second derivative + 2 + false + 0 + + + + + + 4311 + -9497 + 30 + 20 + + + 4327.5 + -9487 + + + + + + + + Third curve derivative at t (Jolt) + 42ee3241-4c5c-463a-b0d9-dd12d62c2293 + true + false + Third derivative + 3 + false + 0 + + + + + + 4311 + -9477 + 30 + 20 + + + 4327.5 + -9467 + + + + + + + + Fourth curve derivative at t (Jounce) + 533714a3-b663-4971-b5e9-26bce2a7de5c + true + false + Fourth derivative + 4 + false + 0 + + + + + + 4311 + -9457 + 30 + 20 + + + 4327.5 + -9447 + + + + + + + + Fifth curve derivative at t + 8a09c8bb-c54e-4691-8429-43124dd1c8b3 + true + false + Fifth derivative + 5 + false + 0 + + + + + + 4311 + -9437 + 30 + 20 + + + 4327.5 + -9427 + + + + + + + + Sixth curve derivative at t + b52f3636-0270-4109-8b69-fa9470b344cd + true + false + Sixth derivative + 6 + false + 0 + + + + + + 4311 + -9417 + 30 + 20 + + + 4327.5 + -9407 + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + b6d0afa1-3dec-42e7-9c93-de08ed9790f2 + true + Create Material + Create Material + + + + + + 4246 + 5000 + 144 + 104 + + + 4330 + 5052 + + + + + + Colour of the diffuse channel + e2ff4e85-df78-45d2-bba7-7721635df2c5 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 5002 + 67 + 20 + + + 4283 + 5012 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;247;247;247 + + + + + + + + + + + + Colour of the specular highlight + 389e0ea6-4a20-40c9-a249-fa446921528d + true + Specular + Specular + false + 0 + + + + + + 4248 + 5022 + 67 + 20 + + + 4283 + 5032 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 6f17d147-73f0-4c6e-aca7-231c42be2227 + true + Emission + Emission + false + 0 + + + + + + 4248 + 5042 + 67 + 20 + + + 4283 + 5052 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + a6119520-e999-41f2-84c5-06f39b44ca96 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 5062 + 67 + 20 + + + 4283 + 5072 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + f9887e31-79e0-4d94-a182-2a888112f088 + true + Shine + Shine + false + 0 + + + + + + 4248 + 5082 + 67 + 20 + + + 4283 + 5092 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 6a9f7cab-703c-4616-a796-ebccc137552c + true + Material + Material + false + 0 + + + + + + 4345 + 5002 + 43 + 100 + + + 4368 + 5052 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 4d6b9775-db5a-464b-b178-f930dd568ce2 + true + Custom Preview + Custom Preview + + + + + + + 4277 + 4929 + 82 + 44 + + + 4345 + 4951 + + + + + + Geometry to preview + true + 6f52bd76-d249-4e5c-a489-b3503b532c14 + true + Geometry + Geometry + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4279 + 4931 + 51 + 20 + + + 4306 + 4941 + + + + + + + + The material override + 792abb0c-57ae-4335-8671-0166a55e35bb + true + Material + Material + false + 6a9f7cab-703c-4616-a796-ebccc137552c + 1 + + + + + + 4279 + 4951 + 51 + 20 + + + 4306 + 4961 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 84e913bd-a348-462a-a472-eab93956daf2 + true + Create Material + Create Material + + + + + + 4246 + 7263 + 144 + 104 + + + 4330 + 7315 + + + + + + Colour of the diffuse channel + 22e1a45c-bb8a-4800-aab5-ef60f9829b69 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 7265 + 67 + 20 + + + 4283 + 7275 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;176;176;176 + + + + + + + + + + + + Colour of the specular highlight + 9233dd38-b5f3-4109-8975-987c7ae940b3 + true + Specular + Specular + false + 0 + + + + + + 4248 + 7285 + 67 + 20 + + + 4283 + 7295 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 07405682-f855-4989-8549-b94d930c00a3 + true + Emission + Emission + false + 0 + + + + + + 4248 + 7305 + 67 + 20 + + + 4283 + 7315 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 97f19c8e-e8a2-41d1-9c98-81c1b160b94c + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 7325 + 67 + 20 + + + 4283 + 7335 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + ef7f93e7-3f0d-469b-862d-f8aca466008d + true + Shine + Shine + false + 0 + + + + + + 4248 + 7345 + 67 + 20 + + + 4283 + 7355 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 350a76f4-71b7-4b5e-854c-31a2ecaf6ee6 + true + Material + Material + false + 0 + + + + + + 4345 + 7265 + 43 + 100 + + + 4368 + 7315 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + beb498f4-7162-49c3-842b-a972d8ad71d9 + true + Custom Preview + Custom Preview + + + + + + + 4277 + 7202 + 82 + 44 + + + 4345 + 7224 + + + + + + Geometry to preview + true + 8666d71b-9d2f-4e91-8d8a-210217567fa5 + true + Geometry + Geometry + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4279 + 7204 + 51 + 20 + + + 4306 + 7214 + + + + + + + + The material override + 62dec059-7971-4a48-932a-ffe71052b16a + true + Material + Material + false + 350a76f4-71b7-4b5e-854c-31a2ecaf6ee6 + 1 + + + + + + 4279 + 7224 + 51 + 20 + + + 4306 + 7234 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + f9713408-b850-40b1-ac2d-56af5c03c800 + true + Create Material + Create Material + + + + + + 4246 + 4550 + 144 + 104 + + + 4330 + 4602 + + + + + + Colour of the diffuse channel + efb4e180-8efc-4284-8299-494c3de6e9f2 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 4552 + 67 + 20 + + + 4283 + 4562 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;222;222;222 + + + + + + + + + + + + Colour of the specular highlight + 197f2502-11d7-49f9-9ca6-ac492a4514bf + true + Specular + Specular + false + 0 + + + + + + 4248 + 4572 + 67 + 20 + + + 4283 + 4582 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + e9dc0475-0054-474e-9957-8202366a4204 + true + Emission + Emission + false + 0 + + + + + + 4248 + 4592 + 67 + 20 + + + 4283 + 4602 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 5cb49fe6-cfb0-49f8-bbaf-411d66898b82 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 4612 + 67 + 20 + + + 4283 + 4622 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 705fb819-8775-4ed6-9b93-8645fbc5e6ed + true + Shine + Shine + false + 0 + + + + + + 4248 + 4632 + 67 + 20 + + + 4283 + 4642 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + fd31e66a-00fc-487d-8951-8d93283f87df + true + Material + Material + false + 0 + + + + + + 4345 + 4552 + 43 + 100 + + + 4368 + 4602 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 0b20088e-1be7-424d-ba3b-c0fdd9da23ae + true + Custom Preview + Custom Preview + + + + + + + 4277 + 4488 + 82 + 44 + + + 4345 + 4510 + + + + + + Geometry to preview + true + ee9a19f8-4064-4d39-866c-85da768d1adc + true + Geometry + Geometry + false + fbc67f80-f848-4cb1-9d59-3b6dda9d43d1 + 1 + + + + + + 4279 + 4490 + 51 + 20 + + + 4306 + 4500 + + + + + + + + The material override + 0df5bf50-74e4-431c-b6d2-cbaada924eb5 + true + Material + Material + false + fd31e66a-00fc-487d-8951-8d93283f87df + 1 + + + + + + 4279 + 4510 + 51 + 20 + + + 4306 + 4520 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 506eabeb-a640-43fd-9af7-b2232e3fa71b + true + Create Material + Create Material + + + + + + 4246 + 2976 + 144 + 104 + + + 4330 + 3028 + + + + + + Colour of the diffuse channel + 3e896be4-47f0-40cd-b969-157ca5690c40 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 2978 + 67 + 20 + + + 4283 + 2988 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;240;240;240 + + + + + + + + + + + + Colour of the specular highlight + ad00ff37-039f-4c69-a05c-2bcf6543f28a + true + Specular + Specular + false + 0 + + + + + + 4248 + 2998 + 67 + 20 + + + 4283 + 3008 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 56dcd222-a962-4e25-a153-d0c165d4a30b + true + Emission + Emission + false + 0 + + + + + + 4248 + 3018 + 67 + 20 + + + 4283 + 3028 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 0082b394-bd76-4cdb-9ec8-3851d681e34c + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 3038 + 67 + 20 + + + 4283 + 3048 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 4394475e-dcc9-4a08-89ce-7fe1812de379 + true + Shine + Shine + false + 0 + + + + + + 4248 + 3058 + 67 + 20 + + + 4283 + 3068 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 6fa0a1de-70c2-4743-8be9-56400b02e090 + true + Material + Material + false + 0 + + + + + + 4345 + 2978 + 43 + 100 + + + 4368 + 3028 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + e86ea7ed-38b8-40b5-bb42-623a7c8059c6 + true + Custom Preview + Custom Preview + + + + + + + 4277 + 2914 + 82 + 44 + + + 4345 + 2936 + + + + + + Geometry to preview + true + 23652758-9150-4810-9501-94d6bb7427a5 + true + Geometry + Geometry + false + 3fe9ed31-c050-492d-94ea-c80218f2b732 + 1 + + + + + + 4279 + 2916 + 51 + 20 + + + 4306 + 2926 + + + + + + + + The material override + f9d0f304-71ba-4d15-b680-4098daee205f + true + Material + Material + false + 6fa0a1de-70c2-4743-8be9-56400b02e090 + 1 + + + + + + 4279 + 2936 + 51 + 20 + + + 4306 + 2946 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + a6d884fb-514f-42c3-86a9-71ade0d41a40 + true + Create Material + Create Material + + + + + + 4246 + 1651 + 144 + 104 + + + 4330 + 1703 + + + + + + Colour of the diffuse channel + 1d225664-df37-44d8-8293-fc65fcfaa053 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 1653 + 67 + 20 + + + 4283 + 1663 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;214;214;214 + + + + + + + + + + + + Colour of the specular highlight + 55624669-9d88-4e19-8a54-d6b340b905ea + true + Specular + Specular + false + 0 + + + + + + 4248 + 1673 + 67 + 20 + + + 4283 + 1683 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 07248625-ab72-43b8-bef8-3badfeb52fb2 + true + Emission + Emission + false + 0 + + + + + + 4248 + 1693 + 67 + 20 + + + 4283 + 1703 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + ee9332dd-01f9-4de5-83cd-cf8d3516a179 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 1713 + 67 + 20 + + + 4283 + 1723 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 2e68d8ff-6779-4688-ad53-ea22a7ee0960 + true + Shine + Shine + false + 0 + + + + + + 4248 + 1733 + 67 + 20 + + + 4283 + 1743 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + ef37cf89-ca4c-487b-9404-0d7f2ac5f894 + true + Material + Material + false + 0 + + + + + + 4345 + 1653 + 43 + 100 + + + 4368 + 1703 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + b379a0ac-4016-4778-8d99-3b57d052a769 + true + Custom Preview + Custom Preview + + + + + + + 4277 + 1591 + 82 + 44 + + + 4345 + 1613 + + + + + + Geometry to preview + true + 5dd6a210-e7ec-4d78-b804-a7f2c5699174 + true + Geometry + Geometry + false + 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c + 1 + + + + + + 4279 + 1593 + 51 + 20 + + + 4306 + 1603 + + + + + + + + The material override + 6d313118-895b-4546-9b3a-cd4b04e08f51 + true + Material + Material + false + ef37cf89-ca4c-487b-9404-0d7f2ac5f894 + 1 + + + + + + 4279 + 1613 + 51 + 20 + + + 4306 + 1623 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 1ceffb1c-921e-4c1d-ab03-e05135b9b5e0 + true + Line SDL + Line SDL + + + + + + 4224 + -10802 + 122 + 64 + + + 4304 + -10770 + + + + + + Line start point + 0c39c823-a263-4a95-b445-16304aeba6ec + true + Start + Start + false + 75156aff-6128-4635-ba01-66f6e62c8b34 + 1 + + + + + + 4226 + -10800 + 63 + 20 + + + 4267 + -10790 + + + + + + + + Line tangent (direction) + 2614b05b-f2da-4a47-a084-b87ce2de0cc8 + true + Direction + Direction + false + 42ee3241-4c5c-463a-b0d9-dd12d62c2293 + 1 + + + + + + 4226 + -10780 + 63 + 20 + + + 4267 + -10770 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 562db1eb-3da9-4644-b300-679d6eabf7e0 + -X + true + Length + Length + false + 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 + 1 + + + + + + 4226 + -10760 + 63 + 20 + + + 4267 + -10750 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + a51b0be6-aa0f-4bdd-a5e6-a7d1e03f729b + true + Line + Line + false + 0 + + + + + + 4319 + -10800 + 25 + 60 + + + 4333 + -10770 + + + + + + + + + + + + 71b5b089-500a-4ea6-81c5-2f960441a0e8 + PolyLine + + + + + Create a polyline connecting a number of points. + true + 82046283-082e-419e-a05f-023d3a681021 + true + PolyLine + PolyLine + + + + + + 4259 + 2675 + 118 + 44 + + + 4319 + 2697 + + + + + + 1 + Polyline vertex points + f1fc21bf-11ce-4976-bb26-c53a6549a2c4 + true + Vertices + Vertices + false + 75156aff-6128-4635-ba01-66f6e62c8b34 + 1 + + + + + + 4261 + 2677 + 43 + 20 + + + 4284 + 2687 + + + + + + + + Close polyline + 7a088eac-054c-4089-8375-2217cc10dcbd + true + Closed + Closed + false + 0 + + + + + + 4261 + 2697 + 43 + 20 + + + 4284 + 2707 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resulting polyline + 812209f4-d890-44eb-8174-2bf48726e54c + true + Polyline + Polyline + false + 0 + + + + + + 4334 + 2677 + 41 + 40 + + + 4356 + 2697 + + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + 41ca37bd-04a2-4730-a104-ccfdfebcb019 + true + Explode + Explode + + + + + + 4250 + 2612 + 136 + 44 + + + 4317 + 2634 + + + + + + Curve to explode + 93669a73-ddb7-4a6a-82e1-f3247b83dab9 + true + Curve + Curve + false + 812209f4-d890-44eb-8174-2bf48726e54c + 1 + + + + + + 4252 + 2614 + 50 + 20 + + + 4278.5 + 2624 + + + + + + + + Recursive decomposition until all segments are atomic + a3eca606-0c18-4bd5-83e4-e0bb1e60b1d6 + true + Recursive + Recursive + false + 0 + + + + + + 4252 + 2634 + 50 + 20 + + + 4278.5 + 2644 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + 1aa63b77-1b30-4cd2-9d7d-88d1999ec0d8 + true + Segments + Segments + false + 0 + + + + + + 4332 + 2614 + 52 + 20 + + + 4359.5 + 2624 + + + + + + + + 1 + Vertices of the exploded segments + 51a45158-c586-46f6-88d2-01c79c67669f + true + Vertices + Vertices + false + 0 + + + + + + 4332 + 2634 + 52 + 20 + + + 4359.5 + 2644 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 + true + 1 + Curve + Curve + false + 1aa63b77-1b30-4cd2-9d7d-88d1999ec0d8 + 1 + + + + + + 4292 + 2568 + 53 + 24 + + + 4328 + 2580.144 + + + + + + + + + + 6f93d366-919f-4dda-a35e-ba03dd62799b + Sort List + + + + + Sort a list of numeric keys. + true + baea9c8f-4e59-442d-b5b4-d125979bf466 + true + Sort List + Sort List + + + + + + 4253 + 2454 + 130 + 44 + + + 4318 + 2476 + + + + + + 2 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 2 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 1 + List of sortable keys + 27eb4fd4-9a74-4641-903e-0228f03308d8 + true + Keys + Keys + false + 6fa53b1f-925f-4bf9-a5d6-e49a44647f48 + 1 + + + + + + 4255 + 2456 + 48 + 20 + + + 4280.5 + 2466 + + + + + + + + 1 + Optional list of values to sort synchronously + 0947c0bb-6fd7-465f-bd09-c7c651b3e131 + true + Values Values A + Values A + true + 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 + 1 + + + + + + 4255 + 2476 + 48 + 20 + + + 4280.5 + 2486 + + + + + + + + 1 + Sorted keys + dca0fac6-4a1f-4a24-b1b7-b8076f3d8949 + true + Keys + Keys + false + 0 + + + + + + 4333 + 2456 + 48 + 20 + + + 4358.5 + 2466 + + + + + + + + 1 + Synchronous values in Values A + 020d407e-5a0d-434c-8f36-8ad74f04be54 + true + Values Values A + Values A + false + 0 + + + + + + 4333 + 2476 + 48 + 20 + + + 4358.5 + 2486 + + + + + + + + + + + + + + c75b62fa-0a33-4da7-a5bd-03fd0068fd93 + Length + + + + + Measure the length of a curve. + true + 12c0d088-f108-4075-bb85-315d570d97ea + true + Length + Length + + + + + + 4266 + 2518 + 104 + 28 + + + 4316 + 2532 + + + + + + Curve to measure + 396fc4e4-3161-49f2-bcd1-3c3c12aaf411 + true + Curve + Curve + false + 60ca1502-c3ae-43e2-a2b8-1b1e238e0ab2 + 1 + + + + + + 4268 + 2520 + 33 + 24 + + + 4286 + 2532 + + + + + + + + Curve length + 6fa53b1f-925f-4bf9-a5d6-e49a44647f48 + true + Length + Length + false + 0 + + + + + + 4331 + 2520 + 37 + 24 + + + 4351 + 2532 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + true + 41093a5b-4ba4-4dfb-a5f8-1bd792353689 + true + List Item + List Item + + + + + + 4281 + 1977 + 74 + 64 + + + 4329 + 2009 + + + + + + 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 + f4a956fe-c4c8-4faa-ab37-46863b6ab8f7 + true + List + List + false + dca0fac6-4a1f-4a24-b1b7-b8076f3d8949 + 1 + + + + + + 4283 + 1979 + 31 + 20 + + + 4300 + 1989 + + + + + + + + Item index + 795f3412-014f-42a0-bb3e-68ed9d6519c3 + true + Index + Index + false + 0 + + + + + + 4283 + 1999 + 31 + 20 + + + 4300 + 2009 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 94795b14-df1b-4254-875b-0b0c0f2f5fed + true + Wrap + Wrap + false + 0 + + + + + + 4283 + 2019 + 31 + 20 + + + 4300 + 2029 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 4d84ba38-35a7-4f3d-b366-8ad8331ebb7c + true + false + Item + i + false + 0 + + + + + + 4344 + 1979 + 9 + 60 + + + 4350 + 2009 + + + + + + + + + + + + + + 6b1bd8b2-47a4-4aa6-a471-3fd91c62a486 + Dot Display + + + + + Draw a collection of coloured dots + true + false + 39d1ba4f-7fac-4207-98a7-67ceea5ef36c + true + Dot Display + Dot Display + + + + + + 4276 + 1878 + 83 + 64 + + + 4345 + 1910 + + + + + + Dot location + true + 00b953b9-3188-468d-93c1-becbe89ee898 + true + Point + Point + false + 75156aff-6128-4635-ba01-66f6e62c8b34 + 1 + + + + + + 4278 + 1880 + 52 + 20 + + + 4313.5 + 1890 + + + + + + + + Dot colour + f449e9ac-4676-4153-8107-1b77272d00ba + true + Colour + Colour + false + 0 + + + + + + 4278 + 1900 + 52 + 20 + + + 4313.5 + 1910 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;194;194;194 + + + + + + + + + + + + Dot size + 37153672-679d-499c-85a8-bb1e26d25c8b + X/2 + true + Size + Size + false + 4d84ba38-35a7-4f3d-b366-8ad8331ebb7c + 1 + + + + + + 4278 + 1920 + 52 + 20 + + + 4313.5 + 1930 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 42ced415-8369-4764-bd84-2655a9abcdd0 + true + Create Material + Create Material + + + + + + 4213 + -10926 + 144 + 104 + + + 4297 + -10874 + + + + + + Colour of the diffuse channel + 23526173-3b15-42d7-a471-0759eadad650 + true + Diffuse + Diffuse + false + 0 + + + + + + 4215 + -10924 + 67 + 20 + + + 4250 + -10914 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;232;232;232 + + + + + + + + + + + + Colour of the specular highlight + 428de005-cd25-40af-8285-d2bd9252f5b3 + true + Specular + Specular + false + 0 + + + + + + 4215 + -10904 + 67 + 20 + + + 4250 + -10894 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + f9a525b9-eab9-4b11-9c82-5a6d53d7cba0 + true + Emission + Emission + false + 0 + + + + + + 4215 + -10884 + 67 + 20 + + + 4250 + -10874 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 7a04b174-5152-4d1e-9872-a9491f98995c + true + Transparency + Transparency + false + 0 + + + + + + 4215 + -10864 + 67 + 20 + + + 4250 + -10854 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 313e8f5e-fddb-487f-a280-06859fa8fad6 + true + Shine + Shine + false + 0 + + + + + + 4215 + -10844 + 67 + 20 + + + 4250 + -10834 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + d7c0515a-62aa-41bd-a4bf-d5c02119a024 + true + Material + Material + false + 0 + + + + + + 4312 + -10924 + 43 + 100 + + + 4335 + -10874 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 97be2d03-c12a-4c13-bcf1-179c5148fad7 + true + Custom Preview + Custom Preview + + + + + + + 4244 + -10989 + 82 + 44 + + + 4312 + -10967 + + + + + + Geometry to preview + true + 5c229870-d626-4d8a-8a53-2566190c6b40 + true + Geometry + Geometry + false + a51b0be6-aa0f-4bdd-a5e6-a7d1e03f729b + 1 + + + + + + 4246 + -10987 + 51 + 20 + + + 4273 + -10977 + + + + + + + + The material override + adb526d8-1109-4c75-bc7f-8b1a63d26467 + true + Material + Material + false + d7c0515a-62aa-41bd-a4bf-d5c02119a024 + 1 + + + + + + 4246 + -10967 + 51 + 20 + + + 4273 + -10957 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + f9312303-3ba0-4d12-bf2a-4df8dd780ec7 + true + Evaluate Length + Evaluate Length + + + + + + 4213 + -11073 + 144 + 64 + + + 4287 + -11041 + + + + + + Curve to evaluate + d8e6535f-993b-441a-8f18-57c297ab434a + true + Curve + Curve + false + a51b0be6-aa0f-4bdd-a5e6-a7d1e03f729b + 1 + + + + + + 4215 + -11071 + 57 + 20 + + + 4245 + -11061 + + + + + + + + Length factor for curve evaluation + ebf67458-8b7c-48e4-aab4-2ce5c99336d1 + true + Length + Length + false + 0 + + + + + + 4215 + -11051 + 57 + 20 + + + 4245 + -11041 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 2e2b937b-fe29-4e76-8bf1-327ada239851 + true + Normalized + Normalized + false + 0 + + + + + + 4215 + -11031 + 57 + 20 + + + 4245 + -11021 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 4232e5bd-4b43-4b68-86a3-1efca2b2863e + true + Point + Point + false + 0 + + + + + + 4302 + -11071 + 53 + 20 + + + 4330 + -11061 + + + + + + + + Tangent vector at the specified length + 5371f1e6-105b-42b3-9ca4-0f9e0a7f71f2 + true + Tangent + Tangent + false + 0 + + + + + + 4302 + -11051 + 53 + 20 + + + 4330 + -11041 + + + + + + + + Curve parameter at the specified length + c00145c8-bbdc-48a3-9c41-13e1f360e786 + true + Parameter + Parameter + false + 0 + + + + + + 4302 + -11031 + 53 + 20 + + + 4330 + -11021 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + a0d0df39-1b14-428e-bf37-398cec030283 + true + Interpolate + Interpolate + + + + + + 4222 + -11177 + 125 + 84 + + + 4289 + -11135 + + + + + + 1 + Interpolation points + 151139fa-fa76-48be-87f4-c5c527e4e1b1 + true + Vertices + Vertices + false + 4232e5bd-4b43-4b68-86a3-1efca2b2863e + 1 + + + + + + 4224 + -11175 + 50 + 20 + + + 4250.5 + -11165 + + + + + + + + Curve degree + 6f60e97f-e266-4e90-ad4b-9550433bbb96 + true + Degree + Degree + false + 0 + + + + + + 4224 + -11155 + 50 + 20 + + + 4250.5 + -11145 + + + + + + 1 + + + + + 1 + {0} + + + + + 3 + + + + + + + + + + + Periodic curve + 1dc9dddf-b84b-433d-aa60-521d302ee78d + true + Periodic + Periodic + false + 0 + + + + + + 4224 + -11135 + 50 + 20 + + + 4250.5 + -11125 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + d6c6ffbd-fd59-4f06-834c-dfdda0e3cde9 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4224 + -11115 + 50 + 20 + + + 4250.5 + -11105 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + ffa36bc2-d3b2-4655-954c-b3bb1caadc80 + true + Curve + Curve + false + 0 + + + + + + 4304 + -11175 + 41 + 26 + + + 4326 + -11161.67 + + + + + + + + Curve length + a073906c-f67b-4209-925d-0db2835809d1 + true + Length + Length + false + 0 + + + + + + 4304 + -11149 + 41 + 27 + + + 4326 + -11135 + + + + + + + + Curve domain + a63f1658-8db8-4c8f-a21f-5e41ed15efe3 + true + Domain + Domain + false + 0 + + + + + + 4304 + -11122 + 41 + 27 + + + 4326 + -11108.33 + + + + + + + + + + + + 7376fe41-74ec-497e-b367-1ffe5072608b + Curvature Graph + + + + + Draws Rhino Curvature Graphs. + true + 6717a073-4979-4ab7-8cca-94ec28dd910e + true + Curvature Graph + Curvature Graph + + + + + + 4277 + 7081 + 71 + 64 + + + 4334 + 7113 + + + + + + Curve for Curvature graph display + true + 726626fc-0121-4a36-ad40-950aa805020d + true + Curve + Curve + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4279 + 7083 + 40 + 20 + + + 4300.5 + 7093 + + + + + + + + Sampling density of the Graph + e4e6c4d1-2571-43ab-bafa-ffc8e537aa7e + true + Density + Density + false + 0 + + + + + + 4279 + 7103 + 40 + 20 + + + 4300.5 + 7113 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scale of graph + c4ca2177-0ce3-417f-aa30-2a48677eaa94 + true + Scale + Scale + false + 1e7003ad-1005-4315-9274-8625081eb42d + 1 + + + + + + 4279 + 7123 + 40 + 20 + + + 4300.5 + 7133 + + + + + + 1 + + + + + 1 + {0} + + + + + 105 + + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 1e7003ad-1005-4315-9274-8625081eb42d + true + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 87.0 + + + + + + 4193 + 7171 + 250 + 20 + + + 4193.743 + 7171.873 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c7834162-f8d6-4396-a928-93ded1c673be + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4298 + 3183 + 40 + 16 + + + 4318 + 3191 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + d49b543b-255e-4b1e-afad-506fdeb4a087 + true + Remap Numbers + Remap Numbers + + + + + + 4260 + 5430 + 115 + 64 + + + 4315 + 5462 + + + + + + Value to remap + 448a0515-aaa4-4e34-bf65-8331febff788 + true + Value + Value + false + aacff86f-b554-4395-9c67-12ea7491563a + 1 + + + + + + 4262 + 5432 + 38 + 20 + + + 4282.5 + 5442 + + + + + + + + Source domain + 2af67ffd-d96e-4eed-825b-992ce2c4715f + true + Source + Source + false + 82ffcc9e-d4c9-4de1-a8ad-4da568b3d8c7 + 1 + + + + + + 4262 + 5452 + 38 + 20 + + + 4282.5 + 5462 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 13280d18-8cc4-4627-a46f-9fe1951b318f + true + Target + Target + false + 0 + + + + + + 4262 + 5472 + 38 + 20 + + + 4282.5 + 5482 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Remapped number + a321ca1e-018e-41d6-8820-b2a1c8ac90ab + true + Mapped + Mapped + false + 0 + + + + + + 4330 + 5432 + 43 + 30 + + + 4353 + 5447 + + + + + + + + Remapped and clipped number + 91e0b348-1054-48d9-bf59-ae8461fa1fac + true + Clipped + Clipped + false + 0 + + + + + + 4330 + 5462 + 43 + 30 + + + 4353 + 5477 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 9033362e-88b7-4ca5-82ec-e83b690b9e1f + true + Bounds + Bounds + + + + + + 4257 + 5512 + 122 + 28 + + + 4321 + 5526 + + + + + + 1 + Numbers to include in Bounds + 516ce2d0-b7ae-47b4-81cc-cdb8cfe44911 + true + Numbers + Numbers + false + aacff86f-b554-4395-9c67-12ea7491563a + 1 + + + + + + 4259 + 5514 + 47 + 24 + + + 4284 + 5526 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 82ffcc9e-d4c9-4de1-a8ad-4da568b3d8c7 + true + Domain + Domain + false + 0 + + + + + + 4336 + 5514 + 41 + 24 + + + 4358 + 5526 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + d49b543b-255e-4b1e-afad-506fdeb4a087 + 9033362e-88b7-4ca5-82ec-e83b690b9e1f + c3830b7d-0858-410d-89db-9af833da8bf5 + 501fc599-56aa-405b-ad58-777fa1c4d11c + aacff86f-b554-4395-9c67-12ea7491563a + 40fce33c-72c8-4b9e-b056-d06a290937b2 + 47a743e6-2557-42d2-a2c1-210a6a941e82 + 476ce713-0dae-4d18-804a-2b7b11658f2a + d8c67dd0-43fb-43d1-9d5a-230f2f0d1341 + 16 + e9edf9da-696f-47bd-a5e5-79c7729f8e89 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + aacff86f-b554-4395-9c67-12ea7491563a + true + Relay + + false + 6fb580be-4b7e-48e0-a5cf-431967be43a9 + 1 + + + + + + 4298 + 5559 + 40 + 16 + + + 4318 + 5567 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 501fc599-56aa-405b-ad58-777fa1c4d11c + true + Relay + + false + 95926409-f740-467c-80b4-734f46eb4123 + 1 + + + + + + 4298 + 5203 + 40 + 16 + + + 4318 + 5211 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 47a743e6-2557-42d2-a2c1-210a6a941e82 + true + Multiplication + Multiplication + + + + + + 4277 + 5231 + 82 + 44 + + + 4308 + 5253 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + dcbd1da4-8f69-4b06-8a33-0eecc767e991 + true + A + A + true + f6322f85-aed1-4c85-95a8-8d761a4a73be + 1 + + + + + + 4279 + 5233 + 14 + 20 + + + 4287.5 + 5243 + + + + + + + + Second item for multiplication + 06fe588d-0bb9-4eda-9323-581799b3334d + true + B + B + true + d8c67dd0-43fb-43d1-9d5a-230f2f0d1341 + 1 + + + + + + 4279 + 5253 + 14 + 20 + + + 4287.5 + 5263 + + + + + + + + Result of multiplication + 95926409-f740-467c-80b4-734f46eb4123 + true + Result + Result + false + 0 + + + + + + 4323 + 5233 + 34 + 40 + + + 4341.5 + 5253 + + + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + af01224e-c0e0-4809-ad30-4e4bd74d845a + true + Remap Numbers + Remap Numbers + + + + + + 4260 + 3465 + 115 + 64 + + + 4315 + 3497 + + + + + + Value to remap + 0dd9c290-89b3-4f7f-b7f7-fea0ad374ec8 + true + Value + Value + false + 3b624a89-a10e-4423-8d23-23c665342bea + 1 + + + + + + 4262 + 3467 + 38 + 20 + + + 4282.5 + 3477 + + + + + + + + Source domain + 565f7896-5376-4be8-9b87-65aabf7ca350 + true + Source + Source + false + 4dafdc57-390a-45b4-9dad-94993250d3c0 + 1 + + + + + + 4262 + 3487 + 38 + 20 + + + 4282.5 + 3497 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 8f2c29a0-d826-4f38-bc8c-1ca957ffc790 + true + Target + Target + false + 0 + + + + + + 4262 + 3507 + 38 + 20 + + + 4282.5 + 3517 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 1900d5cb-3ebe-418f-b5c5-34f4f1f2980f + true + Mapped + Mapped + false + 0 + + + + + + 4330 + 3467 + 43 + 30 + + + 4353 + 3482 + + + + + + + + Remapped and clipped number + 747cdfe4-2981-48ee-b96b-401136eee8d9 + true + Clipped + Clipped + false + 0 + + + + + + 4330 + 3497 + 43 + 30 + + + 4353 + 3512 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 2e1813eb-afd7-4c67-ae5d-0aea5806a643 + true + Bounds + Bounds + + + + + + 4257 + 3548 + 122 + 28 + + + 4321 + 3562 + + + + + + 1 + Numbers to include in Bounds + 2c788be9-e936-471d-8ef8-12877fe1813c + true + Numbers + Numbers + false + 3b624a89-a10e-4423-8d23-23c665342bea + 1 + + + + + + 4259 + 3550 + 47 + 24 + + + 4284 + 3562 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 4dafdc57-390a-45b4-9dad-94993250d3c0 + true + Domain + Domain + false + 0 + + + + + + 4336 + 3550 + 41 + 24 + + + 4358 + 3562 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + af01224e-c0e0-4809-ad30-4e4bd74d845a + 2e1813eb-afd7-4c67-ae5d-0aea5806a643 + c3830b7d-0858-410d-89db-9af833da8bf5 + 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 + 3b624a89-a10e-4423-8d23-23c665342bea + 1dfb13cb-b934-40bc-a126-3ef4f67aa6cb + 4a81f039-0b6b-406b-837f-1176119811ff + b565abfe-af28-4a3d-8aa5-8aa19a0a05d7 + 15 + 5365386e-73e6-497c-b44a-34b85df3bb28 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3b624a89-a10e-4423-8d23-23c665342bea + true + Relay + + false + a50ee4ed-1074-44c4-b42b-16f559369733 + 1 + + + + + + 4298 + 3593 + 40 + 16 + + + 4318 + 3601 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 47ce9ce1-de21-4a6d-8cd6-00bd11b04ee1 + true + Relay + + false + 42398358-cfbe-4f21-96e5-282d62ee7e58 + 1 + + + + + + 4298 + 3226 + 40 + 16 + + + 4318 + 3234 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 4a81f039-0b6b-406b-837f-1176119811ff + true + Multiplication + Multiplication + + + + + + 4277 + 3265 + 82 + 44 + + + 4308 + 3287 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + b76c491c-1771-4316-82a4-113c7bcdbb11 + true + A + A + true + 519c9f7f-5560-40d4-af0b-8be47a07ff02 + 1 + + + + + + 4279 + 3267 + 14 + 20 + + + 4287.5 + 3277 + + + + + + + + Second item for multiplication + 2ed48d06-e4d0-425d-975d-12021826cd1f + true + B + B + true + b565abfe-af28-4a3d-8aa5-8aa19a0a05d7 + 1 + + + + + + 4279 + 3287 + 14 + 20 + + + 4287.5 + 3297 + + + + + + + + Result of multiplication + 42398358-cfbe-4f21-96e5-282d62ee7e58 + true + Result + Result + false + 0 + + + + + + 4323 + 3267 + 34 + 40 + + + 4341.5 + 3287 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e82225cb-a1a5-4ad3-b28d-40b2efc10203 + true + Expression + Expression + + + + + + 4221 + 6689 + 194 + 28 + + + 4321 + 6703 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + b5f45c4f-f8dd-49ac-82bc-318d09dd2a13 + true + Variable O + O + true + 4ae5300f-9b3f-4375-87a5-52ce195ec59e + 1 + + + + + + 4223 + 6691 + 14 + 24 + + + 4231.5 + 6703 + + + + + + + + Result of expression + 49fcf7f9-8ddd-41ec-a183-2131adb07f3b + true + Result + + false + 0 + + + + + + 4404 + 6691 + 9 + 24 + + + 4410 + 6703 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 47309ff2-7be5-4758-9fcf-1729ec8314b8 + true + Panel + + false + 1 + 49fcf7f9-8ddd-41ec-a183-2131adb07f3b + 1 + Double click to edit panel content… + + + + + + 4225 + 6403 + 185 + 271 + + 0 + 0 + 0 + + 4225.832 + 6403.893 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 98efd460-a431-49c8-aded-a62a77c59e5f + true + Relay + + false + 47309ff2-7be5-4758-9fcf-1729ec8314b8 + 1 + + + + + + 4298 + 6380 + 40 + 16 + + + 4318 + 6388 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4ae5300f-9b3f-4375-87a5-52ce195ec59e + true + Relay + + false + 3654a9c9-a7f1-48df-8fa7-73ed1663a837 + 1 + + + + + + 4298 + 6736 + 40 + 16 + + + 4318 + 6744 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e82225cb-a1a5-4ad3-b28d-40b2efc10203 + 47309ff2-7be5-4758-9fcf-1729ec8314b8 + 98efd460-a431-49c8-aded-a62a77c59e5f + 4ae5300f-9b3f-4375-87a5-52ce195ec59e + 4 + 929e2d4c-e84d-4d02-91ac-5e7752c650a1 + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 17740f5f-06e3-439c-b530-05a592105abb + true + Expression + Expression + + + + + + 4221 + 5989 + 194 + 28 + + + 4321 + 6003 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + febdeb41-753b-4759-9155-f4ee00efa396 + true + Variable O + O + true + d468ce15-4157-4fb6-a1ff-1a56b601419e + 1 + + + + + + 4223 + 5991 + 14 + 24 + + + 4231.5 + 6003 + + + + + + + + Result of expression + 6914912a-bdac-4a4d-a2db-868eed728741 + true + Result + + false + 0 + + + + + + 4404 + 5991 + 9 + 24 + + + 4410 + 6003 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 86b9cd83-4404-471f-8e4d-246d772737f9 + true + Panel + + false + 0 + 6914912a-bdac-4a4d-a2db-868eed728741 + 1 + Double click to edit panel content… + + + + + + 4218 + 5704 + 200 + 271 + + 0 + 0 + 0 + + 4218.899 + 5704.656 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 + true + Relay + + false + 86b9cd83-4404-471f-8e4d-246d772737f9 + 1 + + + + + + 4298 + 5661 + 40 + 16 + + + 4318 + 5669 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d468ce15-4157-4fb6-a1ff-1a56b601419e + true + Relay + + false + 6fb580be-4b7e-48e0-a5cf-431967be43a9 + 1 + + + + + + 4298 + 6036 + 40 + 16 + + + 4318 + 6044 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 17740f5f-06e3-439c-b530-05a592105abb + 86b9cd83-4404-471f-8e4d-246d772737f9 + 81e44a39-b7e9-4d3e-9423-d694b8c4cca2 + d468ce15-4157-4fb6-a1ff-1a56b601419e + 4 + 1dd517ad-ac6e-4fd9-a4ca-f152c12db602 + Group + + + + + + + + + + + c75b62fa-0a33-4da7-a5bd-03fd0068fd93 + Length + + + + + Measure the length of a curve. + true + e73e0f67-8dcc-4b89-a973-43217655652f + true + Length + Length + + + + + + 4266 + 7386 + 104 + 28 + + + 4316 + 7400 + + + + + + Curve to measure + 23a61651-ddf4-4a20-9f47-60d37a73cc53 + true + Curve + Curve + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4268 + 7388 + 33 + 24 + + + 4286 + 7400 + + + + + + + + Curve length + db26abf6-6a27-458b-8296-41880794893f + true + Length + Length + false + 0 + + + + + + 4331 + 7388 + 37 + 24 + + + 4351 + 7400 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 5f2c0952-b956-47bf-90b0-5d5a4cb6cee6 + true + Multiplication + Multiplication + + + + + + 4277 + 5338 + 82 + 44 + + + 4308 + 5360 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + d1b16463-773d-4691-8d64-4a9105876f41 + true + A + A + true + 476ce713-0dae-4d18-804a-2b7b11658f2a + 1 + + + + + + 4279 + 5340 + 14 + 20 + + + 4287.5 + 5350 + + + + + + + + Second item for multiplication + 3eb60ebd-243d-4aaf-a6c6-959f8ca48089 + true + B + B + true + a321ca1e-018e-41d6-8820-b2a1c8ac90ab + 1 + + + + + + 4279 + 5360 + 14 + 20 + + + 4287.5 + 5370 + + + + + + + + Result of multiplication + f6322f85-aed1-4c85-95a8-8d761a4a73be + true + Result + Result + false + 0 + + + + + + 4323 + 5340 + 34 + 40 + + + 4341.5 + 5360 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 51d57fa6-afda-4229-afb4-90a25c9c6b8a + true + Relay + + false + 6fb580be-4b7e-48e0-a5cf-431967be43a9 + 1 + + + + + + 4298 + 4369 + 40 + 16 + + + 4318 + 4377 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + e4026ef5-c10c-464e-9823-6797237c75c6 + true + Replace Nulls + Replace Nulls + + + + + + 4250 + 4307 + 136 + 44 + + + 4336 + 4329 + + + + + + 1 + Items to test for null + 1d2318fa-82e4-419f-9eeb-557eecb11207 + true + Items + Items + false + 51d57fa6-afda-4229-afb4-90a25c9c6b8a + 1 + + + + + + 4252 + 4309 + 69 + 20 + + + 4288 + 4319 + + + + + + + + 1 + Items to replace nulls with + a2b6febe-d6f0-409c-8289-483e5613c3fc + true + Replacements + Replacements + false + 0 + + + + + + 4252 + 4329 + 69 + 20 + + + 4288 + 4339 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + c1cbf3cc-c305-48cc-a958-e9cacfba5960 + true + Items + Items + false + 0 + + + + + + 4351 + 4309 + 33 + 20 + + + 4369 + 4319 + + + + + + + + Number of items replaced + e42eb5df-9832-4e87-8857-c8e16a150234 + true + Count + Count + false + 0 + + + + + + 4351 + 4329 + 33 + 20 + + + 4369 + 4339 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a50ee4ed-1074-44c4-b42b-16f559369733 + true + Relay + + false + 52a4cb5e-e88f-43e5-bb41-82eb4d03ae2c + 1 + + + + + + 4298 + 4222 + 40 + 16 + + + 4318 + 4230 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + da9c2d00-64fe-44a7-9401-d326fcdf51fa + true + Quick Graph + Quick Graph + false + 0 + 040c5d9b-07ad-4ae2-aad9-21a946416a98 + 1 + + + + + + 4243 + 4022 + 150 + 150 + + + 4243.828 + 4022.635 + + 0 + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 040c5d9b-07ad-4ae2-aad9-21a946416a98 + true + Relay + + false + a50ee4ed-1074-44c4-b42b-16f559369733 + 1 + + + + + + 4298 + 4186 + 40 + 16 + + + 4318 + 4194 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9bd8b728-8787-4303-ac8e-82b11f531453 + true + Expression + Expression + + + + + + 4221 + 3935 + 194 + 28 + + + 4321 + 3949 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f77b6382-e1b3-4533-818e-1ddfd58b503f + true + Variable O + O + true + c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 + 1 + + + + + + 4223 + 3937 + 14 + 24 + + + 4231.5 + 3949 + + + + + + + + Result of expression + 2b10f4b0-51cf-4386-8d0f-6069e3234145 + true + Result + + false + 0 + + + + + + 4404 + 3937 + 9 + 24 + + + 4410 + 3949 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 74c717fe-6a47-4ebf-9159-b915086fdaa4 + true + Panel + + false + 0 + 2b10f4b0-51cf-4386-8d0f-6069e3234145 + 1 + Double click to edit panel content… + + + + + + 4218 + 3652 + 200 + 271 + + 0 + 0 + 0 + + 4218.241 + 3652.615 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + bf3127fe-bbed-4fae-86c0-6819ff185956 + true + Relay + + false + 74c717fe-6a47-4ebf-9159-b915086fdaa4 + 1 + + + + + + 4298 + 3634 + 40 + 16 + + + 4318 + 3642 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 + true + Relay + + false + 040c5d9b-07ad-4ae2-aad9-21a946416a98 + 1 + + + + + + 4298 + 3982 + 40 + 16 + + + 4318 + 3990 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9bd8b728-8787-4303-ac8e-82b11f531453 + 74c717fe-6a47-4ebf-9159-b915086fdaa4 + bf3127fe-bbed-4fae-86c0-6819ff185956 + c7ef3fd9-f7ac-40f8-82ab-1c2ee46c2d12 + da9c2d00-64fe-44a7-9401-d326fcdf51fa + 040c5d9b-07ad-4ae2-aad9-21a946416a98 + 6 + 2077772c-8556-4e37-b44d-c0a0d5d206ff + Group + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + e5bb3651-4fcd-4da1-9d37-64323a4cbaec + true + Multiplication + Multiplication + + + + + + 4277 + 3366 + 82 + 44 + + + 4308 + 3388 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 233b5d7d-5e9c-4aab-a358-11af797d62ec + true + A + A + true + 1900d5cb-3ebe-418f-b5c5-34f4f1f2980f + 1 + + + + + + 4279 + 3368 + 14 + 20 + + + 4287.5 + 3378 + + + + + + + + Second item for multiplication + bd9787ef-65bc-41d8-b5c7-68871373c4a5 + true + B + B + true + fb8adc2b-49b7-409f-930c-e67bde1e9980 + 1 + + + + + + 4279 + 3388 + 14 + 20 + + + 4287.5 + 3398 + + + + + + + + Result of multiplication + 519c9f7f-5560-40d4-af0b-8be47a07ff02 + true + Result + Result + false + 0 + + + + + + 4323 + 3368 + 34 + 40 + + + 4341.5 + 3388 + + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 441bf542-5076-4985-9937-0bb3a042b678 + true + Curve + Curve + false + 3fe9ed31-c050-492d-94ea-c80218f2b732 + 1 + + + + + + 4293 + 2865 + 50 + 24 + + + 4318 + 2877.582 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 75156aff-6128-4635-ba01-66f6e62c8b34 + true + Relay + + false + 18921b3c-23a8-4466-aa33-85dea6f5193e + 1 + + + + + + 4298 + 2743 + 40 + 16 + + + 4318 + 2751 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 31ebe528-d55d-4dff-927d-a48736be9cc3 + true + Expression + Expression + + + + + + 4221 + 2372 + 194 + 28 + + + 4321 + 2386 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 688ba6a6-9ee3-4856-8a10-8ab5b0316e87 + true + Variable O + O + true + be799453-059d-4d40-b651-349c7cf77c9d + 1 + + + + + + 4223 + 2374 + 14 + 24 + + + 4231.5 + 2386 + + + + + + + + Result of expression + 7388241d-d99f-4344-a537-5b48cc2edd76 + true + Result + + false + 0 + + + + + + 4404 + 2374 + 9 + 24 + + + 4410 + 2386 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8487c049-6563-42c2-982d-a3d473c55e0b + true + Panel + + false + 0 + 7388241d-d99f-4344-a537-5b48cc2edd76 + 1 + Double click to edit panel content… + + + + + + 4221 + 2089 + 194 + 271 + + 0 + 0 + 0 + + 4221.045 + 2089.177 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 34ec62fd-1b45-4131-8bb3-067f9ae32190 + true + Relay + + false + 8487c049-6563-42c2-982d-a3d473c55e0b + 1 + + + + + + 4298 + 2071 + 40 + 16 + + + 4318 + 2079 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + be799453-059d-4d40-b651-349c7cf77c9d + true + Relay + + false + dca0fac6-4a1f-4a24-b1b7-b8076f3d8949 + 1 + + + + + + 4298 + 2417 + 40 + 16 + + + 4318 + 2425 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 31ebe528-d55d-4dff-927d-a48736be9cc3 + 8487c049-6563-42c2-982d-a3d473c55e0b + 34ec62fd-1b45-4131-8bb3-067f9ae32190 + be799453-059d-4d40-b651-349c7cf77c9d + 4 + 3f3172f7-bff5-4e81-85a2-58943326f0a7 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + c9632403-1835-45bf-a8da-51dd473c2104 + true + Create Material + Create Material + + + + + + 4213 + -11301 + 144 + 104 + + + 4297 + -11249 + + + + + + Colour of the diffuse channel + 45fbcd4a-120c-4ab7-a1af-fe8c72e99a7a + true + Diffuse + Diffuse + false + 0 + + + + + + 4215 + -11299 + 67 + 20 + + + 4250 + -11289 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;207;207;207 + + + + + + + + + + + + Colour of the specular highlight + 4b010761-a439-40ca-b8d2-6e3bc0c13526 + true + Specular + Specular + false + 0 + + + + + + 4215 + -11279 + 67 + 20 + + + 4250 + -11269 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 65184dab-7d0a-4e0b-bf79-ec0ca699b455 + true + Emission + Emission + false + 0 + + + + + + 4215 + -11259 + 67 + 20 + + + 4250 + -11249 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 970c9b9d-64e0-40f4-89b3-92360e324de7 + true + Transparency + Transparency + false + 0 + + + + + + 4215 + -11239 + 67 + 20 + + + 4250 + -11229 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 32bc5c00-d6c0-4aa6-a2d6-9b346f7c9cb6 + true + Shine + Shine + false + 0 + + + + + + 4215 + -11219 + 67 + 20 + + + 4250 + -11209 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 2e6dccc8-6177-4800-bea6-4ea4ba2b9f92 + true + Material + Material + false + 0 + + + + + + 4312 + -11299 + 43 + 100 + + + 4335 + -11249 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 3579a27a-9991-4bf3-94de-84223b4b0a72 + true + Custom Preview + Custom Preview + + + + + + + 4244 + -11364 + 82 + 44 + + + 4312 + -11342 + + + + + + Geometry to preview + true + 26eb909a-b46a-4478-9bb6-2fc20cf12003 + true + Geometry + Geometry + false + ffa36bc2-d3b2-4655-954c-b3bb1caadc80 + 1 + + + + + + 4246 + -11362 + 51 + 20 + + + 4273 + -11352 + + + + + + + + The material override + fe342583-bcbf-4e07-b919-4db37b6d38b2 + true + Material + Material + false + 2e6dccc8-6177-4800-bea6-4ea4ba2b9f92 + 1 + + + + + + 4246 + -11342 + 51 + 20 + + + 4273 + -11332 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + f12959c2-8cc4-4ce2-896d-7ff1a4aa1903 + true + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 256.0 + + + + + + 4193 + 7045 + 250 + 20 + + + 4193.743 + 7045.877 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + b7462a41-d690-4e75-b5bb-082a0185ec77 + true + Quick Graph + Quick Graph + false + 0 + 95bfb75e-deb2-41b2-ba5e-9f8b1037d613 + 1 + + + + + + 4211 + -9704 + 150 + 150 + + + 4211.097 + -9703.828 + + -1 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 5e698680-d615-4e2a-aed9-fd28b0220a65 + true + Quick Graph + Quick Graph + false + 0 + c9af63c9-0143-479e-9052-49ae8662e1b1 + 1 + + + + + + 4211 + -9873 + 150 + 150 + + + 4211.097 + -9872.828 + + -1 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + ca297271-f533-4d51-a8fc-bdb7b204740c + true + Quick Graph + Quick Graph + false + 0 + 96867ac7-0810-4a7b-b16e-65dfb34d3ac7 + 1 + + + + + + 4211 + -10041 + 150 + 150 + + + 4211.097 + -10040.35 + + -1 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 9e3117d6-b3b4-4adc-84f3-2835a988e21e + true + Quick Graph + Quick Graph + false + 0 + 42ee3241-4c5c-463a-b0d9-dd12d62c2293 + 1 + + + + + + 4211 + -10210 + 150 + 150 + + + 4211.097 + -10209.35 + + -1 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + c8c317c7-391f-4b40-93d8-4c1994caecef + true + Quick Graph + Quick Graph + false + 0 + 533714a3-b663-4971-b5e9-26bce2a7de5c + 1 + + + + + + 4210 + -10380 + 150 + 150 + + + 4210.854 + -10379.08 + + -1 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 3b490da6-b955-4f9c-bddc-980384007a01 + true + Quick Graph + Quick Graph + false + 0 + 8a09c8bb-c54e-4691-8429-43124dd1c8b3 + 1 + + + + + + 4210 + -10549 + 150 + 150 + + + 4210.854 + -10548.86 + + -1 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + c2fc9a4e-ff43-4e6b-ba22-4562fab58558 + true + Quick Graph + Quick Graph + false + 0 + b52f3636-0270-4109-8b69-fa9470b344cd + 1 + + + + + + 4210 + -10718 + 150 + 150 + + + 4210.854 + -10717.6 + + -1 + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 + 2 + Curve + Curve + false + 105dd2da-6e8a-4d38-bd7f-08d0903e13f6 + 1 + + + + + + 3945 + 7614 + 53 + 24 + + + 3981.334 + 7626.086 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 96971adb-dc6f-4220-b87f-875d4c7c2611 + X*4 + Number + Number + false + b565e546-b7f7-4a1b-9c81-7e90c1d9e590 + 1 + + + + + + 3945 + 7655 + 53 + 24 + + + 3981.804 + 7667.199 + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + b209923c-3a28-4705-b6c2-2d7aa0c13cc7 + true + Relative Differences + Relative Differences + + + + + + 4256 + 1465 + 128 + 28 + + + 4309 + 1479 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 4bd22293-c6e2-4782-ac84-5b600580b41c + true + Values + Values + false + 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 + 1 + + + + + + 4258 + 1467 + 36 + 24 + + + 4277.5 + 1479 + + + + + + + + 1 + Differences between consecutive items + 0576e8b4-b93e-4625-ba08-32b7a12f9224 + true + Differenced + Differenced + false + 0 + + + + + + 4324 + 1467 + 58 + 24 + + + 4354.5 + 1479 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e59d7b8c-92a9-480e-88e5-0c1a30d07bfb + true + Relay + + false + 0576e8b4-b93e-4625-ba08-32b7a12f9224 + 1 + + + + + + 4300 + 1431 + 40 + 16 + + + 4320 + 1439 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 + true + Relay + + false + a50ee4ed-1074-44c4-b42b-16f559369733 + 1 + + + + + + 4300 + 1513 + 40 + 16 + + + 4320 + 1521 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 61f9e29f-feb3-4122-9ade-977c75c70121 + true + Relay + + false + ee24630f-f4f0-4780-abab-e012c957d4c6 + 1 + + + + + + 4298 + 6304 + 40 + 16 + + + 4318 + 6312 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 476ce713-0dae-4d18-804a-2b7b11658f2a + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4298 + 5403 + 40 + 16 + + + 4318 + 5411 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fb8adc2b-49b7-409f-930c-e67bde1e9980 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4298 + 3428 + 40 + 16 + + + 4318 + 3436 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + ffbd0ca9-452d-476b-aad7-d52654097132 + true + Line SDL + Line SDL + + + + + + 4260 + 756 + 122 + 64 + + + 4340 + 788 + + + + + + Line start point + dfa13141-214f-4bdb-bcdf-fd35decbd4ce + true + Start + Start + false + 75156aff-6128-4635-ba01-66f6e62c8b34 + 1 + + + + + + 4262 + 758 + 63 + 20 + + + 4303 + 768 + + + + + + + + Line tangent (direction) + c6523c5a-ebb1-4c5f-bf08-596ca65340a5 + true + Direction + Direction + false + 25f75636-f71c-4e68-bc9c-52d7265bce09 + 1 + + + + + + 4262 + 778 + 63 + 20 + + + 4303 + 788 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + e337c9e9-e37b-49b4-a4f3-a62e9d52b221 + ABS(X) + true + Length + Length + false + a0d04d37-b40d-44d4-8c0d-b1f4df33fe55 + 1 + + + + + + 4262 + 798 + 63 + 20 + + + 4303 + 808 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 + true + Line + Line + false + 0 + + + + + + 4355 + 758 + 25 + 60 + + + 4369 + 788 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 25f75636-f71c-4e68-bc9c-52d7265bce09 + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4298 + 837 + 40 + 16 + + + 4318 + 845 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 81e762e6-cf7c-4ae1-9584-48cd20085421 + true + Remap Numbers + Remap Numbers + + + + + + 4264 + 1122 + 115 + 64 + + + 4319 + 1154 + + + + + + Value to remap + b8054dea-0dba-4d47-a361-76c40d8e7028 + true + Value + Value + false + 035d0b92-726f-45b3-9b43-f98bcdec0cf5 + 1 + + + + + + 4266 + 1124 + 38 + 20 + + + 4286.5 + 1134 + + + + + + + + Source domain + 2dc4354d-6568-481e-9543-25086e8764ac + true + Source + Source + false + 4968227e-19f3-4a9f-97c2-33ce7e630f4f + 1 + + + + + + 4266 + 1144 + 38 + 20 + + + 4286.5 + 1154 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 631bebd6-f133-4834-8203-c2a2316bf850 + true + Target + Target + false + 0 + + + + + + 4266 + 1164 + 38 + 20 + + + 4286.5 + 1174 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 977d529a-74c3-4a92-b264-ffd1fdf99c1c + true + Mapped + Mapped + false + 0 + + + + + + 4334 + 1124 + 43 + 30 + + + 4357 + 1139 + + + + + + + + Remapped and clipped number + c2a7c612-4761-43d5-bc2d-fa1631585f85 + true + Clipped + Clipped + false + 0 + + + + + + 4334 + 1154 + 43 + 30 + + + 4357 + 1169 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 115f0245-8d8d-4e08-9afd-473c7a08d0bd + true + Bounds + Bounds + + + + + + 4257 + 1202 + 122 + 28 + + + 4321 + 1216 + + + + + + 1 + Numbers to include in Bounds + 3ed0b4fa-c025-4e44-83fb-50c46e0be136 + true + Numbers + Numbers + false + 035d0b92-726f-45b3-9b43-f98bcdec0cf5 + 1 + + + + + + 4259 + 1204 + 47 + 24 + + + 4284 + 1216 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 4968227e-19f3-4a9f-97c2-33ce7e630f4f + true + Domain + Domain + false + 0 + + + + + + 4336 + 1204 + 41 + 24 + + + 4358 + 1216 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 035d0b92-726f-45b3-9b43-f98bcdec0cf5 + true + Relay + + false + e59d7b8c-92a9-480e-88e5-0c1a30d07bfb + 1 + + + + + + 4298 + 1247 + 40 + 16 + + + 4318 + 1255 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a0d04d37-b40d-44d4-8c0d-b1f4df33fe55 + true + Relay + + false + fb6b6b3f-e722-4e8d-bc32-b6b0d0bb3a85 + 1 + + + + + + 4298 + 880 + 40 + 16 + + + 4318 + 888 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + e8565a94-1105-499b-9121-d17b6a40c779 + true + Multiplication + Multiplication + + + + + + 4277 + 919 + 82 + 44 + + + 4308 + 941 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + db629085-728c-4432-ad6b-11fd7f0c8e83 + true + A + A + true + 98c48af7-cad0-4141-8752-76b25a6547b3 + 1 + + + + + + 4279 + 921 + 14 + 20 + + + 4287.5 + 931 + + + + + + + + Second item for multiplication + 86f3c8f9-f877-4cac-ae2a-fb2f2c9d9f48 + true + B + B + true + c27a5a9f-3110-49e1-91f7-6ebafb7c4bc0 + 1 + + + + + + 4279 + 941 + 14 + 20 + + + 4287.5 + 951 + + + + + + + + Result of multiplication + fb6b6b3f-e722-4e8d-bc32-b6b0d0bb3a85 + true + Result + Result + false + 0 + + + + + + 4323 + 921 + 34 + 40 + + + 4341.5 + 941 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 12a155cd-954b-41b5-9ebf-dfadc3960e64 + true + Multiplication + Multiplication + + + + + + 4277 + 1020 + 82 + 44 + + + 4308 + 1042 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 7cb02247-b8fb-4071-99ef-c3eb7bc8f26e + true + A + A + true + 977d529a-74c3-4a92-b264-ffd1fdf99c1c + 1 + + + + + + 4279 + 1022 + 14 + 20 + + + 4287.5 + 1032 + + + + + + + + Second item for multiplication + 21b7d22c-0b3d-41c5-b6b5-c725c2e32b65 + true + B + B + true + 6c6e888a-ea28-4db0-abf5-a2a050ebc430 + 1 + + + + + + 4279 + 1042 + 14 + 20 + + + 4287.5 + 1052 + + + + + + + + Result of multiplication + 98c48af7-cad0-4141-8752-76b25a6547b3 + true + Result + Result + false + 0 + + + + + + 4323 + 1022 + 34 + 40 + + + 4341.5 + 1042 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6c6e888a-ea28-4db0-abf5-a2a050ebc430 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4300 + 1090 + 40 + 16 + + + 4320 + 1098 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e59d7b8c-92a9-480e-88e5-0c1a30d07bfb + 7cc954f8-e6e0-4d0c-b372-3f3e033c2444 + b209923c-3a28-4705-b6c2-2d7aa0c13cc7 + 3 + 9c4b4d0a-421b-4c53-895c-1221d23a8c23 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + af294dd2-b04a-4838-88c8-0277f80bc3b0 + true + Create Material + Create Material + + + + + + 4246 + 631 + 144 + 104 + + + 4330 + 683 + + + + + + Colour of the diffuse channel + 842d3b1b-9411-48c1-a4b2-090889ff22b0 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 633 + 67 + 20 + + + 4283 + 643 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;232;232;232 + + + + + + + + + + + + Colour of the specular highlight + d514ba0e-8930-4c2b-a615-b7e12ced1b62 + true + Specular + Specular + false + 0 + + + + + + 4248 + 653 + 67 + 20 + + + 4283 + 663 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 635a8def-1a8d-4792-976c-d3f6d4930987 + true + Emission + Emission + false + 0 + + + + + + 4248 + 673 + 67 + 20 + + + 4283 + 683 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + f6dab51d-0c8f-479b-897a-f57ceedcacab + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 693 + 67 + 20 + + + 4283 + 703 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + c8456449-9caa-4f29-b972-11ccf6caa135 + true + Shine + Shine + false + 0 + + + + + + 4248 + 713 + 67 + 20 + + + 4283 + 723 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + b603312a-32b7-4d61-9db7-5526a8b7f1fe + true + Material + Material + false + 0 + + + + + + 4345 + 633 + 43 + 100 + + + 4368 + 683 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + a6eac927-8a3c-4732-b1a8-90e4b25850df + true + Custom Preview + Custom Preview + + + + + + + 4277 + 566 + 82 + 44 + + + 4345 + 588 + + + + + + Geometry to preview + true + 3beb0610-3674-43ef-adb2-e95400cf91c4 + true + Geometry + Geometry + false + c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 + 1 + + + + + + 4279 + 568 + 51 + 20 + + + 4306 + 578 + + + + + + + + The material override + c38e03f4-6478-47b4-92c4-a02cc432b018 + true + Material + Material + false + b603312a-32b7-4d61-9db7-5526a8b7f1fe + 1 + + + + + + 4279 + 588 + 51 + 20 + + + 4306 + 598 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 5bda71fa-0d3a-4287-94fd-b5d399b8202f + true + Evaluate Length + Evaluate Length + + + + + + 4246 + 486 + 144 + 64 + + + 4320 + 518 + + + + + + Curve to evaluate + 96ffa41c-683e-4059-86c9-0564953e7936 + true + Curve + Curve + false + c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 + 1 + + + + + + 4248 + 488 + 57 + 20 + + + 4278 + 498 + + + + + + + + Length factor for curve evaluation + cdbe5b1f-9d31-46fb-93c5-ad7291a1eb36 + true + Length + Length + false + 0 + + + + + + 4248 + 508 + 57 + 20 + + + 4278 + 518 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 60ac828e-adc4-47bf-bc1d-0bdb52bac1e8 + true + Normalized + Normalized + false + 0 + + + + + + 4248 + 528 + 57 + 20 + + + 4278 + 538 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 637e10b6-0bed-46d6-a76a-6a7a71d05708 + true + Point + Point + false + 0 + + + + + + 4335 + 488 + 53 + 20 + + + 4363 + 498 + + + + + + + + Tangent vector at the specified length + 33f9b60b-9f7d-4984-9b11-554b550460e5 + true + Tangent + Tangent + false + 0 + + + + + + 4335 + 508 + 53 + 20 + + + 4363 + 518 + + + + + + + + Curve parameter at the specified length + 2c8f1546-d78f-421e-b669-baed198bc74d + true + Parameter + Parameter + false + 0 + + + + + + 4335 + 528 + 53 + 20 + + + 4363 + 538 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + d23b18ad-2e9d-4af3-a33d-e2ae8d08d84a + true + Interpolate + Interpolate + + + + + + 4255 + 382 + 125 + 84 + + + 4322 + 424 + + + + + + 1 + Interpolation points + 9e2e3a9b-904b-48d7-a2f8-5e5e1cfec8fc + true + Vertices + Vertices + false + 637e10b6-0bed-46d6-a76a-6a7a71d05708 + 1 + + + + + + 4257 + 384 + 50 + 20 + + + 4283.5 + 394 + + + + + + + + Curve degree + 4a44671b-a1a5-4b70-a51b-1efe0327b5a7 + true + Degree + Degree + false + 0 + + + + + + 4257 + 404 + 50 + 20 + + + 4283.5 + 414 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + ef1234b2-7eb7-49ec-baea-03a92561ca54 + true + Periodic + Periodic + false + 0 + + + + + + 4257 + 424 + 50 + 20 + + + 4283.5 + 434 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 13c20af2-e6f4-40ed-9e06-2a3cee0e1310 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4257 + 444 + 50 + 20 + + + 4283.5 + 454 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 2f741b85-28a7-40bc-a56a-d8c6b82e5b30 + true + Curve + Curve + false + 0 + + + + + + 4337 + 384 + 41 + 26 + + + 4359 + 397.3333 + + + + + + + + Curve length + ad2fce30-d14b-4547-b1e0-1e3fa991cd24 + true + Length + Length + false + 0 + + + + + + 4337 + 410 + 41 + 27 + + + 4359 + 424 + + + + + + + + Curve domain + ac261476-0de2-41ba-b51f-1417c8ec05fd + true + Domain + Domain + false + 0 + + + + + + 4337 + 437 + 41 + 27 + + + 4359 + 450.6667 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + eedba66f-c09e-4b6a-a6f6-e360e1607858 + true + Create Material + Create Material + + + + + + 4246 + 258 + 144 + 104 + + + 4330 + 310 + + + + + + Colour of the diffuse channel + 2ccdb9dd-ed00-46c0-9a61-9aeee619add6 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + 260 + 67 + 20 + + + 4283 + 270 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;207;207;207 + + + + + + + + + + + + Colour of the specular highlight + ec981619-883f-4f2f-a76a-7485b8c267b4 + true + Specular + Specular + false + 0 + + + + + + 4248 + 280 + 67 + 20 + + + 4283 + 290 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + cc6526b3-ec30-4593-a25f-9b0a3bd2b635 + true + Emission + Emission + false + 0 + + + + + + 4248 + 300 + 67 + 20 + + + 4283 + 310 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 0379919a-925c-4039-b44d-31c5860a383f + true + Transparency + Transparency + false + 0 + + + + + + 4248 + 320 + 67 + 20 + + + 4283 + 330 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + e211802f-3037-4ef9-9665-9961a4f13bf4 + true + Shine + Shine + false + 0 + + + + + + 4248 + 340 + 67 + 20 + + + 4283 + 350 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 68dbb0fe-eefc-4062-b9b1-d9b0eec3d07b + true + Material + Material + false + 0 + + + + + + 4345 + 260 + 43 + 100 + + + 4368 + 310 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + a3be89c0-1a37-4050-ae27-b5fc88bad330 + true + Custom Preview + Custom Preview + + + + + + + 4277 + 198 + 82 + 44 + + + 4345 + 220 + + + + + + Geometry to preview + true + a444dc8e-4663-4484-a04c-13ad66a87be0 + true + Geometry + Geometry + false + 2f741b85-28a7-40bc-a56a-d8c6b82e5b30 + 1 + + + + + + 4279 + 200 + 51 + 20 + + + 4306 + 210 + + + + + + + + The material override + 1edb010e-19a0-4324-a37b-2faf51ea7917 + true + Material + Material + false + 68dbb0fe-eefc-4062-b9b1-d9b0eec3d07b + 1 + + + + + + 4279 + 220 + 51 + 20 + + + 4306 + 230 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c96083ca-5a8a-4085-b4fd-6d5eea9ca472 + 0f329de9-ca80-42aa-b370-5edbdbc0dbe2 + 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 + cf8f325e-7066-4f00-bf52-f68e0880fb25 + ee378bd1-d97e-429d-8c19-9b21d4cc9fe1 + a1a58fed-d57e-4141-b7b0-e1805b47e405 + edc3af5a-e25d-4381-a4d7-b2454ae6e271 + 547f9879-1f4b-4a31-b855-b187d0ccb44c + e3bb7df2-b148-4b3e-a431-34c5a0a50196 + d79fb373-d285-4a32-9d35-a411dd8a2305 + 06be7652-b071-449f-9819-02867c2c1901 + ba639484-1f04-4eb3-bd96-f9911e7489f7 + c656fad9-200a-417f-ab8e-9ec2262e1bcb + 8df7d7e6-cf5d-4502-9323-231be7021412 + 645a4fcb-3841-4062-9f82-8ce6675a59b7 + 3692f38f-1d1e-454f-9e1e-559f3a96e560 + b0f623ea-310b-4b24-9cb7-58687d55b42d + 0968c388-eb63-4f69-97af-52e68422d260 + 8d280e70-d586-432d-9c66-602cd4f4fd53 + f6de1485-e329-4dce-a6e4-89cb0f7016af + 322a6b5b-a423-48a5-b19d-a56aff79885e + 8cf28910-ebf9-447f-b49a-b8133c4bc05e + 22 + 7f8caa90-5f65-4c95-97fa-030e76b167df + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ee378bd1-d97e-429d-8c19-9b21d4cc9fe1 + a1a58fed-d57e-4141-b7b0-e1805b47e405 + edc3af5a-e25d-4381-a4d7-b2454ae6e271 + 547f9879-1f4b-4a31-b855-b187d0ccb44c + e3bb7df2-b148-4b3e-a431-34c5a0a50196 + d79fb373-d285-4a32-9d35-a411dd8a2305 + 06be7652-b071-449f-9819-02867c2c1901 + ba639484-1f04-4eb3-bd96-f9911e7489f7 + c656fad9-200a-417f-ab8e-9ec2262e1bcb + 8df7d7e6-cf5d-4502-9323-231be7021412 + 645a4fcb-3841-4062-9f82-8ce6675a59b7 + 845cb04b-45f5-445d-9f62-abad64b02fd2 + af226fd0-4701-4be9-ac43-12af7cefc54c + f77a5006-5ba9-4819-b46f-c7f246c09821 + 14 + c96083ca-5a8a-4085-b4fd-6d5eea9ca472 + Group + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 0f329de9-ca80-42aa-b370-5edbdbc0dbe2 + true + Relative Differences + Relative Differences + + + + + + 4257 + 85 + 128 + 28 + + + 4310 + 99 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + cf9b5280-1356-40a0-bd2f-b91b9fe0a0d5 + true + Values + Values + false + cf8f325e-7066-4f00-bf52-f68e0880fb25 + 1 + + + + + + 4259 + 87 + 36 + 24 + + + 4278.5 + 99 + + + + + + + + 1 + Differences between consecutive items + 1f168d2a-aa06-4c70-8dc4-2ea3b603bb80 + true + Differenced + Differenced + false + 0 + + + + + + 4325 + 87 + 58 + 24 + + + 4355.5 + 99 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 + true + Relay + + false + 1f168d2a-aa06-4c70-8dc4-2ea3b603bb80 + 1 + + + + + + 4301 + 51 + 40 + 16 + + + 4321 + 59 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + cf8f325e-7066-4f00-bf52-f68e0880fb25 + true + Relay + + false + e59d7b8c-92a9-480e-88e5-0c1a30d07bfb + 1 + + + + + + 4301 + 133 + 40 + 16 + + + 4321 + 141 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + ee378bd1-d97e-429d-8c19-9b21d4cc9fe1 + true + Line SDL + Line SDL + + + + + + 4257 + -642 + 122 + 64 + + + 4337 + -610 + + + + + + Line start point + 6e2d24a9-2651-43b2-9059-a97658fefa94 + true + Start + Start + false + 637e10b6-0bed-46d6-a76a-6a7a71d05708 + 1 + + + + + + 4259 + -640 + 63 + 20 + + + 4300 + -630 + + + + + + + + Line tangent (direction) + 8d62e557-6e3c-4bf6-a04e-10b7a8808160 + true + Direction + Direction + false + a1a58fed-d57e-4141-b7b0-e1805b47e405 + 1 + + + + + + 4259 + -620 + 63 + 20 + + + 4300 + -610 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 48067a4f-d715-425d-9142-e9acdf7e2d16 + ABS(X) + true + Length + Length + false + ba639484-1f04-4eb3-bd96-f9911e7489f7 + 1 + + + + + + 4259 + -600 + 63 + 20 + + + 4300 + -590 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + be2cf019-1305-48ce-adba-8f4655e5d2ee + true + Line + Line + false + 0 + + + + + + 4352 + -640 + 25 + 60 + + + 4366 + -610 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a1a58fed-d57e-4141-b7b0-e1805b47e405 + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4298 + -560 + 40 + 16 + + + 4318 + -552 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 547f9879-1f4b-4a31-b855-b187d0ccb44c + true + Remap Numbers + Remap Numbers + + + + + + 4260 + -278 + 115 + 64 + + + 4315 + -246 + + + + + + Value to remap + e2ce2793-7f92-435a-9592-107d9e9325c7 + true + Value + Value + false + 06be7652-b071-449f-9819-02867c2c1901 + 1 + + + + + + 4262 + -276 + 38 + 20 + + + 4282.5 + -266 + + + + + + + + Source domain + aca09565-ad3a-4dff-9c3a-f829a275ed12 + true + Source + Source + false + 6366097d-daba-401d-a3bb-09908d45be64 + 1 + + + + + + 4262 + -256 + 38 + 20 + + + 4282.5 + -246 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 75fe238b-59fa-4483-9f0a-387f19e4effa + true + Target + Target + false + 0 + + + + + + 4262 + -236 + 38 + 20 + + + 4282.5 + -226 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + f7db2e14-5eac-4497-8d7a-faed2f5f076b + true + Mapped + Mapped + false + 0 + + + + + + 4330 + -276 + 43 + 30 + + + 4353 + -261 + + + + + + + + Remapped and clipped number + a79c8122-d5a3-4494-801e-dc132432acb4 + true + Clipped + Clipped + false + 0 + + + + + + 4330 + -246 + 43 + 30 + + + 4353 + -231 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + e3bb7df2-b148-4b3e-a431-34c5a0a50196 + true + Bounds + Bounds + + + + + + 4257 + -195 + 122 + 28 + + + 4321 + -181 + + + + + + 1 + Numbers to include in Bounds + 65e00f66-a02a-4a1c-b13a-c34b1d32db8f + true + Numbers + Numbers + false + 06be7652-b071-449f-9819-02867c2c1901 + 1 + + + + + + 4259 + -193 + 47 + 24 + + + 4284 + -181 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 6366097d-daba-401d-a3bb-09908d45be64 + true + Domain + Domain + false + 0 + + + + + + 4336 + -193 + 41 + 24 + + + 4358 + -181 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + 547f9879-1f4b-4a31-b855-b187d0ccb44c + e3bb7df2-b148-4b3e-a431-34c5a0a50196 + c3830b7d-0858-410d-89db-9af833da8bf5 + ba639484-1f04-4eb3-bd96-f9911e7489f7 + 06be7652-b071-449f-9819-02867c2c1901 + edc3af5a-e25d-4381-a4d7-b2454ae6e271 + c656fad9-200a-417f-ab8e-9ec2262e1bcb + 14 + d79fb373-d285-4a32-9d35-a411dd8a2305 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 06be7652-b071-449f-9819-02867c2c1901 + true + Relay + + false + 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 + 1 + + + + + + 4298 + -150 + 40 + 16 + + + 4318 + -142 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + ba639484-1f04-4eb3-bd96-f9911e7489f7 + true + Relay + + false + 1ab4b573-b016-44f4-9322-bcb16dcb97b9 + 1 + + + + + + 4298 + -517 + 40 + 16 + + + 4318 + -509 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + c656fad9-200a-417f-ab8e-9ec2262e1bcb + true + Multiplication + Multiplication + + + + + + 4277 + -478 + 82 + 44 + + + 4308 + -456 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + f38099fc-1a8f-4ec2-a980-4782834441e2 + true + A + A + true + 4e4dd104-426c-41d2-bb08-6c08681a1283 + 1 + + + + + + 4279 + -476 + 14 + 20 + + + 4287.5 + -466 + + + + + + + + Second item for multiplication + c981e6f7-dd08-4e71-86f1-5294401a4440 + true + B + B + true + f77a5006-5ba9-4819-b46f-c7f246c09821 + 1 + + + + + + 4279 + -456 + 14 + 20 + + + 4287.5 + -446 + + + + + + + + Result of multiplication + 1ab4b573-b016-44f4-9322-bcb16dcb97b9 + true + Result + Result + false + 0 + + + + + + 4323 + -476 + 34 + 40 + + + 4341.5 + -456 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 8df7d7e6-cf5d-4502-9323-231be7021412 + true + Multiplication + Multiplication + + + + + + 4277 + -377 + 82 + 44 + + + 4308 + -355 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + eae22736-cc25-48be-82b9-82ae0596aed0 + true + A + A + true + f7db2e14-5eac-4497-8d7a-faed2f5f076b + 1 + + + + + + 4279 + -375 + 14 + 20 + + + 4287.5 + -365 + + + + + + + + Second item for multiplication + 46ccac10-5ef7-43c0-b5e4-750578a78456 + true + B + B + true + 645a4fcb-3841-4062-9f82-8ce6675a59b7 + 1 + + + + + + 4279 + -355 + 14 + 20 + + + 4287.5 + -345 + + + + + + + + Result of multiplication + 4e4dd104-426c-41d2-bb08-6c08681a1283 + true + Result + Result + false + 0 + + + + + + 4323 + -375 + 34 + 40 + + + 4341.5 + -355 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 645a4fcb-3841-4062-9f82-8ce6675a59b7 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4298 + -315 + 40 + 16 + + + 4318 + -307 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 + cf8f325e-7066-4f00-bf52-f68e0880fb25 + 0f329de9-ca80-42aa-b370-5edbdbc0dbe2 + 3 + 3692f38f-1d1e-454f-9e1e-559f3a96e560 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + b0f623ea-310b-4b24-9cb7-58687d55b42d + true + Create Material + Create Material + + + + + + 4246 + -766 + 144 + 104 + + + 4330 + -714 + + + + + + Colour of the diffuse channel + 0b2039c2-9096-48a6-a2a4-5e14c7289f90 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + -764 + 67 + 20 + + + 4283 + -754 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;224;224;224 + + + + + + + + + + + + Colour of the specular highlight + ba122001-38ee-4908-b388-560c17dc7b38 + true + Specular + Specular + false + 0 + + + + + + 4248 + -744 + 67 + 20 + + + 4283 + -734 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + b19593ac-70b7-4a5b-a68d-d7c04b9d5039 + true + Emission + Emission + false + 0 + + + + + + 4248 + -724 + 67 + 20 + + + 4283 + -714 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + e50630b9-256d-4890-b2a2-710b1069a1a9 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + -704 + 67 + 20 + + + 4283 + -694 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 3cb8a942-bbf6-485a-8eb7-177cc856e9d8 + true + Shine + Shine + false + 0 + + + + + + 4248 + -684 + 67 + 20 + + + 4283 + -674 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 9c578a14-3257-4ba9-bd47-aa9ac4e0f711 + true + Material + Material + false + 0 + + + + + + 4345 + -764 + 43 + 100 + + + 4368 + -714 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 0968c388-eb63-4f69-97af-52e68422d260 + true + Custom Preview + Custom Preview + + + + + + + 4277 + -828 + 82 + 44 + + + 4345 + -806 + + + + + + Geometry to preview + true + 804b2077-26f5-49bd-bca2-9e59ee6a5fe0 + true + Geometry + Geometry + false + be2cf019-1305-48ce-adba-8f4655e5d2ee + 1 + + + + + + 4279 + -826 + 51 + 20 + + + 4306 + -816 + + + + + + + + The material override + c84c562c-4cf7-4ae2-85fb-0f5c52a48b01 + true + Material + Material + false + 9c578a14-3257-4ba9-bd47-aa9ac4e0f711 + 1 + + + + + + 4279 + -806 + 51 + 20 + + + 4306 + -796 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 8d280e70-d586-432d-9c66-602cd4f4fd53 + true + Evaluate Length + Evaluate Length + + + + + + 4246 + -911 + 144 + 64 + + + 4320 + -879 + + + + + + Curve to evaluate + 20375335-fe2f-4b9e-b95b-ff3bfc4229f7 + true + Curve + Curve + false + be2cf019-1305-48ce-adba-8f4655e5d2ee + 1 + + + + + + 4248 + -909 + 57 + 20 + + + 4278 + -899 + + + + + + + + Length factor for curve evaluation + 091e548d-72b9-42a9-87cc-c90e4b9d833d + true + Length + Length + false + 0 + + + + + + 4248 + -889 + 57 + 20 + + + 4278 + -879 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + ccbd7807-1a8d-4478-974e-eaeba34232b0 + true + Normalized + Normalized + false + 0 + + + + + + 4248 + -869 + 57 + 20 + + + 4278 + -859 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + c0df840f-e21c-4129-b503-719f49fc6b16 + true + Point + Point + false + 0 + + + + + + 4335 + -909 + 53 + 20 + + + 4363 + -899 + + + + + + + + Tangent vector at the specified length + ff9a3ab7-ae19-486e-8da8-c1e0a14e6800 + true + Tangent + Tangent + false + 0 + + + + + + 4335 + -889 + 53 + 20 + + + 4363 + -879 + + + + + + + + Curve parameter at the specified length + 11442010-ed08-406e-8f80-cab63dbe48de + true + Parameter + Parameter + false + 0 + + + + + + 4335 + -869 + 53 + 20 + + + 4363 + -859 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + f6de1485-e329-4dce-a6e4-89cb0f7016af + true + Interpolate + Interpolate + + + + + + 4255 + -1015 + 125 + 84 + + + 4322 + -973 + + + + + + 1 + Interpolation points + 07e3a62a-f138-4908-8022-e63d0db12106 + true + Vertices + Vertices + false + c0df840f-e21c-4129-b503-719f49fc6b16 + 1 + + + + + + 4257 + -1013 + 50 + 20 + + + 4283.5 + -1003 + + + + + + + + Curve degree + c7a9d37a-9597-4be7-8fb4-788c127c3da4 + true + Degree + Degree + false + 0 + + + + + + 4257 + -993 + 50 + 20 + + + 4283.5 + -983 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + e55e9e83-721d-4edc-8736-2486181af6fd + true + Periodic + Periodic + false + 0 + + + + + + 4257 + -973 + 50 + 20 + + + 4283.5 + -963 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + f3235844-9d1d-4d99-bd61-222abdd54981 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4257 + -953 + 50 + 20 + + + 4283.5 + -943 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + eda997fc-a64a-410d-984f-4373353f22d8 + true + Curve + Curve + false + 0 + + + + + + 4337 + -1013 + 41 + 26 + + + 4359 + -999.6667 + + + + + + + + Curve length + af975174-342f-4023-8176-c430b910aa01 + true + Length + Length + false + 0 + + + + + + 4337 + -987 + 41 + 27 + + + 4359 + -973 + + + + + + + + Curve domain + 72b77803-9b17-4bbf-8606-c8a01fc98876 + true + Domain + Domain + false + 0 + + + + + + 4337 + -960 + 41 + 27 + + + 4359 + -946.3334 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 322a6b5b-a423-48a5-b19d-a56aff79885e + true + Create Material + Create Material + + + + + + 4246 + -1139 + 144 + 104 + + + 4330 + -1087 + + + + + + Colour of the diffuse channel + 544f4ed3-57ae-49fe-8560-25df04b6d6b4 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + -1137 + 67 + 20 + + + 4283 + -1127 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;199;199;199 + + + + + + + + + + + + Colour of the specular highlight + d3f9d604-bf6f-4f65-85b0-64f38535d92f + true + Specular + Specular + false + 0 + + + + + + 4248 + -1117 + 67 + 20 + + + 4283 + -1107 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 78f51403-90bc-41eb-973b-6a8618c61a9b + true + Emission + Emission + false + 0 + + + + + + 4248 + -1097 + 67 + 20 + + + 4283 + -1087 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + d316c5f8-75ad-445c-b3fa-434bd3a704b5 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + -1077 + 67 + 20 + + + 4283 + -1067 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 0b914229-1375-4735-a7ef-fcf88df61be4 + true + Shine + Shine + false + 0 + + + + + + 4248 + -1057 + 67 + 20 + + + 4283 + -1047 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 593cb676-3e96-41ce-a2a5-98139f80f758 + true + Material + Material + false + 0 + + + + + + 4345 + -1137 + 43 + 100 + + + 4368 + -1087 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 8cf28910-ebf9-447f-b49a-b8133c4bc05e + true + Custom Preview + Custom Preview + + + + + + + 4277 + -1199 + 82 + 44 + + + 4345 + -1177 + + + + + + Geometry to preview + true + 7f4d70c9-8898-4534-a476-a481f4657452 + true + Geometry + Geometry + false + eda997fc-a64a-410d-984f-4373353f22d8 + 1 + + + + + + 4279 + -1197 + 51 + 20 + + + 4306 + -1187 + + + + + + + + The material override + 165d0974-e17c-4dd5-9a5c-584173fc1f1a + true + Material + Material + false + 593cb676-3e96-41ce-a2a5-98139f80f758 + 1 + + + + + + 4279 + -1177 + 51 + 20 + + + 4306 + -1167 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2e7d434b-e497-40c2-9170-d80e0bf5bcba + 7eb55334-5bfa-4486-9ff6-b5829dac3feb + e9df2343-bcc4-4760-80bc-8ee2d703441d + b83bd03c-6fc4-45b4-87b8-5e564aaac95b + 6ddfcd4a-34b2-4ad5-afdf-bc3d5086e3cb + 6aaa1793-28e6-4756-99ff-42dbddf77a39 + 7a372be2-540a-4b8c-b985-ea311cfef976 + 7803a825-4dda-48df-aa28-6d873414abc3 + 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a + 9e0e35cc-c9b4-43b6-a875-a16fd29ba65a + a47545e5-d679-4719-9a47-2c4466a7fd8b + 27134342-2fa4-4066-889e-6f4ad894e999 + bdafdfb8-bb33-4d40-ad59-5e519f758096 + 25966e22-4fd9-419c-b905-ad0d899b9233 + 0ab3c753-c9f7-45bf-b85a-26d6499915ce + 845cb04b-45f5-445d-9f62-abad64b02fd2 + 307e04c0-347d-42da-aac3-535ada9ac315 + 391984bd-bdf7-4963-92f0-2e256b508f09 + 8563ebf7-7afd-4569-aa53-0cc90bd1a378 + 91616bda-478d-47e7-987e-50b82258ce06 + 813e4314-bed9-4963-8fd6-132105ecb666 + ac616e7c-8b28-4c2e-bf9a-5a8c674ee521 + 22 + e415110b-3faf-49e8-889a-ea5803860fe9 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6ddfcd4a-34b2-4ad5-afdf-bc3d5086e3cb + 6aaa1793-28e6-4756-99ff-42dbddf77a39 + 7a372be2-540a-4b8c-b985-ea311cfef976 + 7803a825-4dda-48df-aa28-6d873414abc3 + 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a + 9e0e35cc-c9b4-43b6-a875-a16fd29ba65a + a47545e5-d679-4719-9a47-2c4466a7fd8b + 27134342-2fa4-4066-889e-6f4ad894e999 + bdafdfb8-bb33-4d40-ad59-5e519f758096 + 25966e22-4fd9-419c-b905-ad0d899b9233 + 0ab3c753-c9f7-45bf-b85a-26d6499915ce + ac588950-bc7f-4799-998b-6293a8136543 + 12 + 2e7d434b-e497-40c2-9170-d80e0bf5bcba + Group + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 7eb55334-5bfa-4486-9ff6-b5829dac3feb + true + Relative Differences + Relative Differences + + + + + + 4255 + -1324 + 128 + 28 + + + 4308 + -1310 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + ae80ef1a-72c2-4f48-843a-15d379553646 + true + Values + Values + false + b83bd03c-6fc4-45b4-87b8-5e564aaac95b + 1 + + + + + + 4257 + -1322 + 36 + 24 + + + 4276.5 + -1310 + + + + + + + + 1 + Differences between consecutive items + 5a957f96-5a4e-438c-beb4-d71a40d90f89 + true + Differenced + Differenced + false + 0 + + + + + + 4323 + -1322 + 58 + 24 + + + 4353.5 + -1310 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e9df2343-bcc4-4760-80bc-8ee2d703441d + true + Relay + + false + 5a957f96-5a4e-438c-beb4-d71a40d90f89 + 1 + + + + + + 4302 + -1358 + 40 + 16 + + + 4322 + -1350 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b83bd03c-6fc4-45b4-87b8-5e564aaac95b + true + Relay + + false + 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 + 1 + + + + + + 4299 + -1276 + 40 + 16 + + + 4319 + -1268 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 6ddfcd4a-34b2-4ad5-afdf-bc3d5086e3cb + true + Line SDL + Line SDL + + + + + + 4260 + -2052 + 122 + 64 + + + 4340 + -2020 + + + + + + Line start point + f5b17117-d25b-41b1-842c-a3197dca9123 + true + Start + Start + false + c0df840f-e21c-4129-b503-719f49fc6b16 + 1 + + + + + + 4262 + -2050 + 63 + 20 + + + 4303 + -2040 + + + + + + + + Line tangent (direction) + 2a8085b2-3baf-44f9-b34e-1d2d96385c84 + true + Direction + Direction + false + 6aaa1793-28e6-4756-99ff-42dbddf77a39 + 1 + + + + + + 4262 + -2030 + 63 + 20 + + + 4303 + -2020 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 2af41a7d-df5e-4691-9848-2507f8ba3c97 + ABS(X) + true + Length + Length + false + 27134342-2fa4-4066-889e-6f4ad894e999 + 1 + + + + + + 4262 + -2010 + 63 + 20 + + + 4303 + -2000 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + fa43f40d-b436-439a-bab2-aac4d1b2ae8b + true + Line + Line + false + 0 + + + + + + 4355 + -2050 + 25 + 60 + + + 4369 + -2020 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6aaa1793-28e6-4756-99ff-42dbddf77a39 + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4298 + -1971 + 40 + 16 + + + 4318 + -1963 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 7803a825-4dda-48df-aa28-6d873414abc3 + true + Remap Numbers + Remap Numbers + + + + + + 4253 + -1700 + 115 + 64 + + + 4308 + -1668 + + + + + + Value to remap + 0c5b7722-f827-4fe2-94e4-2d203f324b13 + true + Value + Value + false + a47545e5-d679-4719-9a47-2c4466a7fd8b + 1 + + + + + + 4255 + -1698 + 38 + 20 + + + 4275.5 + -1688 + + + + + + + + Source domain + da6b0a7a-afc2-472a-bb91-42cf57aaf2be + true + Source + Source + false + 0dbb88bc-fe27-4e6b-9f57-3dabd1d71520 + 1 + + + + + + 4255 + -1678 + 38 + 20 + + + 4275.5 + -1668 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 01d28205-64da-48f4-b28b-d9b155277b2d + true + Target + Target + false + 0 + + + + + + 4255 + -1658 + 38 + 20 + + + 4275.5 + -1648 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + c395f5b4-45e8-4b90-b7b3-f484cd3aade4 + true + Mapped + Mapped + false + 0 + + + + + + 4323 + -1698 + 43 + 30 + + + 4346 + -1683 + + + + + + + + Remapped and clipped number + 6ed0ec77-ff5b-4d62-9aa8-e5e43c3c9bd0 + true + Clipped + Clipped + false + 0 + + + + + + 4323 + -1668 + 43 + 30 + + + 4346 + -1653 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a + true + Bounds + Bounds + + + + + + 4250 + -1617 + 122 + 28 + + + 4314 + -1603 + + + + + + 1 + Numbers to include in Bounds + 49b06533-0be4-4801-9f1b-0d82020b6d5c + true + Numbers + Numbers + false + a47545e5-d679-4719-9a47-2c4466a7fd8b + 1 + + + + + + 4252 + -1615 + 47 + 24 + + + 4277 + -1603 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 0dbb88bc-fe27-4e6b-9f57-3dabd1d71520 + true + Domain + Domain + false + 0 + + + + + + 4329 + -1615 + 41 + 24 + + + 4351 + -1603 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + 7803a825-4dda-48df-aa28-6d873414abc3 + 8dab0ba0-6f93-4f19-b8d3-a6e2812f575a + c3830b7d-0858-410d-89db-9af833da8bf5 + 27134342-2fa4-4066-889e-6f4ad894e999 + a47545e5-d679-4719-9a47-2c4466a7fd8b + 7a372be2-540a-4b8c-b985-ea311cfef976 + bdafdfb8-bb33-4d40-ad59-5e519f758096 + 99e5fe55-2e16-4fd9-bbf5-d60f020294b9 + 15 + 9e0e35cc-c9b4-43b6-a875-a16fd29ba65a + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a47545e5-d679-4719-9a47-2c4466a7fd8b + true + Relay + + false + e9df2343-bcc4-4760-80bc-8ee2d703441d + 1 + + + + + + 4295 + -1568 + 40 + 16 + + + 4315 + -1560 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 27134342-2fa4-4066-889e-6f4ad894e999 + true + Relay + + false + 8cea9731-8f9c-4e8b-85df-2050902b7807 + 1 + + + + + + 4294 + -1939 + 40 + 16 + + + 4314 + -1931 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + bdafdfb8-bb33-4d40-ad59-5e519f758096 + true + Multiplication + Multiplication + + + + + + 4270 + -1902 + 82 + 44 + + + 4301 + -1880 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 878222d7-48d3-4576-abd2-de0b7b2445f6 + true + A + A + true + 817a1f1b-9353-4d8d-84f9-673116fd6d05 + 1 + + + + + + 4272 + -1900 + 14 + 20 + + + 4280.5 + -1890 + + + + + + + + Second item for multiplication + d21e7beb-ac2d-43d2-b690-4bfd03921f06 + true + B + B + true + 99e5fe55-2e16-4fd9-bbf5-d60f020294b9 + 1 + + + + + + 4272 + -1880 + 14 + 20 + + + 4280.5 + -1870 + + + + + + + + Result of multiplication + 8cea9731-8f9c-4e8b-85df-2050902b7807 + true + Result + Result + false + 0 + + + + + + 4316 + -1900 + 34 + 40 + + + 4334.5 + -1880 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 25966e22-4fd9-419c-b905-ad0d899b9233 + true + Multiplication + Multiplication + + + + + + 4277 + -1787 + 82 + 44 + + + 4308 + -1765 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + c191cdf0-ce56-4ffa-83d6-d9e5ee1ce3ab + true + A + A + true + c395f5b4-45e8-4b90-b7b3-f484cd3aade4 + 1 + + + + + + 4279 + -1785 + 14 + 20 + + + 4287.5 + -1775 + + + + + + + + Second item for multiplication + 2e0d80ea-79b2-4e23-b4b2-f1c47cb6d051 + true + B + B + true + 0ab3c753-c9f7-45bf-b85a-26d6499915ce + 1 + + + + + + 4279 + -1765 + 14 + 20 + + + 4287.5 + -1755 + + + + + + + + Result of multiplication + 1f4d203a-7210-473f-9482-f99a19778d4f + true + Result + Result + false + 0 + + + + + + 4323 + -1785 + 34 + 40 + + + 4341.5 + -1765 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0ab3c753-c9f7-45bf-b85a-26d6499915ce + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4295 + -1725 + 40 + 16 + + + 4315 + -1717 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e9df2343-bcc4-4760-80bc-8ee2d703441d + b83bd03c-6fc4-45b4-87b8-5e564aaac95b + 7eb55334-5bfa-4486-9ff6-b5829dac3feb + 3 + 845cb04b-45f5-445d-9f62-abad64b02fd2 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 307e04c0-347d-42da-aac3-535ada9ac315 + true + Create Material + Create Material + + + + + + 4246 + -2177 + 144 + 104 + + + 4330 + -2125 + + + + + + Colour of the diffuse channel + b17b0379-bc45-45ba-bd16-2a0eba0989df + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + -2175 + 67 + 20 + + + 4283 + -2165 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;217;217;217 + + + + + + + + + + + + Colour of the specular highlight + cadc18a2-76b6-48c9-85f4-e683444ac926 + true + Specular + Specular + false + 0 + + + + + + 4248 + -2155 + 67 + 20 + + + 4283 + -2145 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 45312f69-4306-4270-8336-9d4f988b53f5 + true + Emission + Emission + false + 0 + + + + + + 4248 + -2135 + 67 + 20 + + + 4283 + -2125 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 93837e64-6bec-4f2c-a8e7-70ab7b01b7e2 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + -2115 + 67 + 20 + + + 4283 + -2105 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 117d8814-ca79-42a3-90fa-2d0ac9cb0bdb + true + Shine + Shine + false + 0 + + + + + + 4248 + -2095 + 67 + 20 + + + 4283 + -2085 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + dac4de77-9f6f-4daa-a2fb-101193a87ed7 + true + Material + Material + false + 0 + + + + + + 4345 + -2175 + 43 + 100 + + + 4368 + -2125 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 391984bd-bdf7-4963-92f0-2e256b508f09 + true + Custom Preview + Custom Preview + + + + + + + 4277 + -2239 + 82 + 44 + + + 4345 + -2217 + + + + + + Geometry to preview + true + 0cbf1ec0-48a5-4725-b163-a93cd896f78a + true + Geometry + Geometry + false + fa43f40d-b436-439a-bab2-aac4d1b2ae8b + 1 + + + + + + 4279 + -2237 + 51 + 20 + + + 4306 + -2227 + + + + + + + + The material override + 67084f2a-d79d-4f1b-bd0d-c0baf2bc54f3 + true + Material + Material + false + dac4de77-9f6f-4daa-a2fb-101193a87ed7 + 1 + + + + + + 4279 + -2217 + 51 + 20 + + + 4306 + -2207 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 8563ebf7-7afd-4569-aa53-0cc90bd1a378 + true + Evaluate Length + Evaluate Length + + + + + + 4246 + -2322 + 144 + 64 + + + 4320 + -2290 + + + + + + Curve to evaluate + 75e68839-7c56-486e-8934-2aec69846414 + true + Curve + Curve + false + fa43f40d-b436-439a-bab2-aac4d1b2ae8b + 1 + + + + + + 4248 + -2320 + 57 + 20 + + + 4278 + -2310 + + + + + + + + Length factor for curve evaluation + df4e0f36-f4ca-4b09-b619-bd775693b056 + true + Length + Length + false + 0 + + + + + + 4248 + -2300 + 57 + 20 + + + 4278 + -2290 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + de2c86ac-e32a-4606-a129-52dcce0396b7 + true + Normalized + Normalized + false + 0 + + + + + + 4248 + -2280 + 57 + 20 + + + 4278 + -2270 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 5e91e4ba-1184-48d6-8062-bc02f9dd7cd0 + true + Point + Point + false + 0 + + + + + + 4335 + -2320 + 53 + 20 + + + 4363 + -2310 + + + + + + + + Tangent vector at the specified length + 9dd89b63-2e2c-42b0-a2a2-48bbe718af2a + true + Tangent + Tangent + false + 0 + + + + + + 4335 + -2300 + 53 + 20 + + + 4363 + -2290 + + + + + + + + Curve parameter at the specified length + c7b66ac2-eefe-4c24-bc83-ef966d86fd7b + true + Parameter + Parameter + false + 0 + + + + + + 4335 + -2280 + 53 + 20 + + + 4363 + -2270 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 91616bda-478d-47e7-987e-50b82258ce06 + true + Interpolate + Interpolate + + + + + + 4255 + -2426 + 125 + 84 + + + 4322 + -2384 + + + + + + 1 + Interpolation points + ef6f2b2f-7fc9-48b4-ab19-f8e956f17ef7 + true + Vertices + Vertices + false + 5e91e4ba-1184-48d6-8062-bc02f9dd7cd0 + 1 + + + + + + 4257 + -2424 + 50 + 20 + + + 4283.5 + -2414 + + + + + + + + Curve degree + 41b3d3c2-2d7b-496c-ad9b-d6395c994acc + true + Degree + Degree + false + 0 + + + + + + 4257 + -2404 + 50 + 20 + + + 4283.5 + -2394 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 5d892f8d-5082-4e8b-b695-aa53350b964c + true + Periodic + Periodic + false + 0 + + + + + + 4257 + -2384 + 50 + 20 + + + 4283.5 + -2374 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 48df9416-48a3-431e-83bb-dfded5c7cf13 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4257 + -2364 + 50 + 20 + + + 4283.5 + -2354 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 678b8bf7-9aac-4970-8a9e-ee50acb3e43a + true + Curve + Curve + false + 0 + + + + + + 4337 + -2424 + 41 + 26 + + + 4359 + -2410.667 + + + + + + + + Curve length + a5ea4950-35e0-413c-b420-38f10bcbc1dc + true + Length + Length + false + 0 + + + + + + 4337 + -2398 + 41 + 27 + + + 4359 + -2384 + + + + + + + + Curve domain + b7207c89-8e70-43e8-98d7-c34853a94e21 + true + Domain + Domain + false + 0 + + + + + + 4337 + -2371 + 41 + 27 + + + 4359 + -2357.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 813e4314-bed9-4963-8fd6-132105ecb666 + true + Create Material + Create Material + + + + + + 4246 + -2550 + 144 + 104 + + + 4330 + -2498 + + + + + + Colour of the diffuse channel + f81f1c89-8bc5-473f-b7c5-750a00edd80a + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + -2548 + 67 + 20 + + + 4283 + -2538 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;191;191;191 + + + + + + + + + + + + Colour of the specular highlight + 7eea7044-9ecc-498a-ac53-1d0937777605 + true + Specular + Specular + false + 0 + + + + + + 4248 + -2528 + 67 + 20 + + + 4283 + -2518 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 5e84ac81-5265-4b77-9fb4-9608d8e14a39 + true + Emission + Emission + false + 0 + + + + + + 4248 + -2508 + 67 + 20 + + + 4283 + -2498 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 273f6050-7148-4e70-8533-df9579105dda + true + Transparency + Transparency + false + 0 + + + + + + 4248 + -2488 + 67 + 20 + + + 4283 + -2478 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 6fd3f45d-ffdd-47ca-8b53-5d632438bd38 + true + Shine + Shine + false + 0 + + + + + + 4248 + -2468 + 67 + 20 + + + 4283 + -2458 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 6f27c099-ecfb-4221-a1a3-f67aa8f90b49 + true + Material + Material + false + 0 + + + + + + 4345 + -2548 + 43 + 100 + + + 4368 + -2498 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + ac616e7c-8b28-4c2e-bf9a-5a8c674ee521 + true + Custom Preview + Custom Preview + + + + + + + 4277 + -2610 + 82 + 44 + + + 4345 + -2588 + + + + + + Geometry to preview + true + b5ae2558-2f1a-4cb4-8602-975a07f8ba9f + true + Geometry + Geometry + false + 678b8bf7-9aac-4970-8a9e-ee50acb3e43a + 1 + + + + + + 4279 + -2608 + 51 + 20 + + + 4306 + -2598 + + + + + + + + The material override + 5170ecf1-f935-4d97-9b53-18f07f6c82d6 + true + Material + Material + false + 6f27c099-ecfb-4221-a1a3-f67aa8f90b49 + 1 + + + + + + 4279 + -2588 + 51 + 20 + + + 4306 + -2578 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 42e4b4aa-e5fd-4fa0-bf50-f55fc4f83c27 + 7ce967df-b77a-48e3-a0ab-0ef69e7f509a + 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 + 542cf401-da7e-48c8-b950-1a069d6a5222 + 8e072824-d558-4a16-83ee-15d5922d0358 + 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 + 2a17f8f3-05cd-4fbd-b87b-a16ec3f03605 + ccf5004f-68b3-4648-b104-7c06d5891746 + e6b170b8-81e9-4dc7-be29-53e442aef89b + f6a70308-0365-4a62-ae8f-7b0c06d916af + 698ed7a6-823a-4f3b-81d0-a53f97720331 + fb6c570f-5424-4449-a098-6b87ce055efc + 7a0786f3-f3f2-42f2-9a17-842da33ce48b + b42552e4-4295-43cd-9229-0f7fb6c498dc + c13f3a2d-a96e-4f90-ab80-a783086b7ad0 + efceaa27-3a6e-434b-b4ce-dc47dc3cbd9f + 2fd38000-615a-4f6c-925c-fae90fde2a8e + 65ac4482-b933-4f95-9a07-b23d2cef1c6a + 1db7d0ec-8709-47d7-82e0-4691e7efbe8b + eefa2f3e-ae14-4853-9588-e0ad60346408 + a9846cd4-c92f-4ca4-904e-88b9fe76c39c + 100d237b-fd67-4830-be89-c236745d92e8 + 22 + 9a7db9c9-43b6-4731-b3bb-087fd868b276 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8e072824-d558-4a16-83ee-15d5922d0358 + 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 + 2a17f8f3-05cd-4fbd-b87b-a16ec3f03605 + ccf5004f-68b3-4648-b104-7c06d5891746 + e6b170b8-81e9-4dc7-be29-53e442aef89b + f6a70308-0365-4a62-ae8f-7b0c06d916af + 698ed7a6-823a-4f3b-81d0-a53f97720331 + fb6c570f-5424-4449-a098-6b87ce055efc + 7a0786f3-f3f2-42f2-9a17-842da33ce48b + b42552e4-4295-43cd-9229-0f7fb6c498dc + c13f3a2d-a96e-4f90-ab80-a783086b7ad0 + 7ea7c812-fbf2-4ab8-9a4e-7edd89c68a35 + 12 + 42e4b4aa-e5fd-4fa0-bf50-f55fc4f83c27 + Group + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 7ce967df-b77a-48e3-a0ab-0ef69e7f509a + true + Relative Differences + Relative Differences + + + + + + 4254 + -2720 + 128 + 28 + + + 4307 + -2706 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 7f36f02f-6ddc-4cb0-a544-c62006d91a7e + true + Values + Values + false + 542cf401-da7e-48c8-b950-1a069d6a5222 + 1 + + + + + + 4256 + -2718 + 36 + 24 + + + 4275.5 + -2706 + + + + + + + + 1 + Differences between consecutive items + 097201c1-1da3-4b40-8dd0-b049871b7d99 + true + Differenced + Differenced + false + 0 + + + + + + 4322 + -2718 + 58 + 24 + + + 4352.5 + -2706 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 + true + Relay + + false + 097201c1-1da3-4b40-8dd0-b049871b7d99 + 1 + + + + + + 4298 + -2754 + 40 + 16 + + + 4318 + -2746 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 542cf401-da7e-48c8-b950-1a069d6a5222 + true + Relay + + false + e9df2343-bcc4-4760-80bc-8ee2d703441d + 1 + + + + + + 4298 + -2672 + 40 + 16 + + + 4318 + -2664 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 8e072824-d558-4a16-83ee-15d5922d0358 + true + Line SDL + Line SDL + + + + + + 4257 + -3450 + 122 + 64 + + + 4337 + -3418 + + + + + + Line start point + cfd18607-4057-4291-9223-81c906b9c49f + true + Start + Start + false + 5e91e4ba-1184-48d6-8062-bc02f9dd7cd0 + 1 + + + + + + 4259 + -3448 + 63 + 20 + + + 4300 + -3438 + + + + + + + + Line tangent (direction) + cb2d2ba5-e6f3-4841-9978-746af6500450 + true + Direction + Direction + false + 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 + 1 + + + + + + 4259 + -3428 + 63 + 20 + + + 4300 + -3418 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 95296efb-57ab-4b1d-baea-2f0e4c3f9c8e + ABS(X) + true + Length + Length + false + fb6c570f-5424-4449-a098-6b87ce055efc + 1 + + + + + + 4259 + -3408 + 63 + 20 + + + 4300 + -3398 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 9fd0b496-5590-469c-9d73-be4bb1965f90 + true + Line + Line + false + 0 + + + + + + 4352 + -3448 + 25 + 60 + + + 4366 + -3418 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4c62f8de-2dcc-4c41-82bc-4759c86d0ab9 + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4298 + -3368 + 40 + 16 + + + 4318 + -3360 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + ccf5004f-68b3-4648-b104-7c06d5891746 + true + Remap Numbers + Remap Numbers + + + + + + 4260 + -3086 + 115 + 64 + + + 4315 + -3054 + + + + + + Value to remap + 1f626e82-58ae-438a-90e6-0b36707c73dd + true + Value + Value + false + 698ed7a6-823a-4f3b-81d0-a53f97720331 + 1 + + + + + + 4262 + -3084 + 38 + 20 + + + 4282.5 + -3074 + + + + + + + + Source domain + 96780f3e-9927-4116-be86-f0654fe684f5 + true + Source + Source + false + efb5ced9-506b-4efb-aedb-6823b20f9f6e + 1 + + + + + + 4262 + -3064 + 38 + 20 + + + 4282.5 + -3054 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 6cf6be25-bd2a-4cad-b8b5-a5fb8313d332 + true + Target + Target + false + 0 + + + + + + 4262 + -3044 + 38 + 20 + + + 4282.5 + -3034 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + e6c55d1f-8d23-47fb-9e63-67ee5eecb8ca + true + Mapped + Mapped + false + 0 + + + + + + 4330 + -3084 + 43 + 30 + + + 4353 + -3069 + + + + + + + + Remapped and clipped number + 0e5bb633-c4ae-4720-8365-f59d27ff8f00 + true + Clipped + Clipped + false + 0 + + + + + + 4330 + -3054 + 43 + 30 + + + 4353 + -3039 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + e6b170b8-81e9-4dc7-be29-53e442aef89b + true + Bounds + Bounds + + + + + + 4257 + -3003 + 122 + 28 + + + 4321 + -2989 + + + + + + 1 + Numbers to include in Bounds + 41279e52-c8b2-44d2-a05f-a12da73d9726 + true + Numbers + Numbers + false + 698ed7a6-823a-4f3b-81d0-a53f97720331 + 1 + + + + + + 4259 + -3001 + 47 + 24 + + + 4284 + -2989 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + efb5ced9-506b-4efb-aedb-6823b20f9f6e + true + Domain + Domain + false + 0 + + + + + + 4336 + -3001 + 41 + 24 + + + 4358 + -2989 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + ccf5004f-68b3-4648-b104-7c06d5891746 + e6b170b8-81e9-4dc7-be29-53e442aef89b + c3830b7d-0858-410d-89db-9af833da8bf5 + fb6c570f-5424-4449-a098-6b87ce055efc + 698ed7a6-823a-4f3b-81d0-a53f97720331 + 2a17f8f3-05cd-4fbd-b87b-a16ec3f03605 + 7a0786f3-f3f2-42f2-9a17-842da33ce48b + e9c988a3-a0f9-44b8-9dca-881e071528d5 + 15 + f6a70308-0365-4a62-ae8f-7b0c06d916af + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 698ed7a6-823a-4f3b-81d0-a53f97720331 + true + Relay + + false + 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 + 1 + + + + + + 4298 + -2958 + 40 + 16 + + + 4318 + -2950 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fb6c570f-5424-4449-a098-6b87ce055efc + true + Relay + + false + f238ee5d-fbdb-4636-ba07-216e3abf726a + 1 + + + + + + 4298 + -3325 + 40 + 16 + + + 4318 + -3317 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 7a0786f3-f3f2-42f2-9a17-842da33ce48b + true + Multiplication + Multiplication + + + + + + 4277 + -3286 + 82 + 44 + + + 4308 + -3264 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + a72226b1-1293-4dce-b956-5d0d458be578 + true + A + A + true + d596036f-c261-4979-89f0-99a2e5d79241 + 1 + + + + + + 4279 + -3284 + 14 + 20 + + + 4287.5 + -3274 + + + + + + + + Second item for multiplication + 31719fe6-f994-48d7-9ab2-4f5ecdbf23fe + true + B + B + true + e9c988a3-a0f9-44b8-9dca-881e071528d5 + 1 + + + + + + 4279 + -3264 + 14 + 20 + + + 4287.5 + -3254 + + + + + + + + Result of multiplication + f238ee5d-fbdb-4636-ba07-216e3abf726a + true + Result + Result + false + 0 + + + + + + 4323 + -3284 + 34 + 40 + + + 4341.5 + -3264 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + b42552e4-4295-43cd-9229-0f7fb6c498dc + true + Multiplication + Multiplication + + + + + + 4277 + -3185 + 82 + 44 + + + 4308 + -3163 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + ac0e6fc4-1bc1-41a0-ac67-6e577569d2e4 + true + A + A + true + e6c55d1f-8d23-47fb-9e63-67ee5eecb8ca + 1 + + + + + + 4279 + -3183 + 14 + 20 + + + 4287.5 + -3173 + + + + + + + + Second item for multiplication + 318ea127-00ac-494e-b0d8-25457e3390c1 + true + B + B + true + c13f3a2d-a96e-4f90-ab80-a783086b7ad0 + 1 + + + + + + 4279 + -3163 + 14 + 20 + + + 4287.5 + -3153 + + + + + + + + Result of multiplication + d596036f-c261-4979-89f0-99a2e5d79241 + true + Result + Result + false + 0 + + + + + + 4323 + -3183 + 34 + 40 + + + 4341.5 + -3163 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c13f3a2d-a96e-4f90-ab80-a783086b7ad0 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4298 + -3123 + 40 + 16 + + + 4318 + -3115 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 + 542cf401-da7e-48c8-b950-1a069d6a5222 + 7ce967df-b77a-48e3-a0ab-0ef69e7f509a + 3 + efceaa27-3a6e-434b-b4ce-dc47dc3cbd9f + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 2fd38000-615a-4f6c-925c-fae90fde2a8e + true + Create Material + Create Material + + + + + + 4246 + -3574 + 144 + 104 + + + 4330 + -3522 + + + + + + Colour of the diffuse channel + bca6b15c-ead9-4a78-a63a-f69e99028d80 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + -3572 + 67 + 20 + + + 4283 + -3562 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;209;209;209 + + + + + + + + + + + + Colour of the specular highlight + ca1e6ad1-156d-4f2e-9298-0f63c1b2cfb9 + true + Specular + Specular + false + 0 + + + + + + 4248 + -3552 + 67 + 20 + + + 4283 + -3542 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 228c6c12-4d82-41c3-8f3f-029032a0cb64 + true + Emission + Emission + false + 0 + + + + + + 4248 + -3532 + 67 + 20 + + + 4283 + -3522 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + a3339c35-080c-45a8-a809-c9945cdaa329 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + -3512 + 67 + 20 + + + 4283 + -3502 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 5e23e62d-4027-4195-9865-eab08a4a917c + true + Shine + Shine + false + 0 + + + + + + 4248 + -3492 + 67 + 20 + + + 4283 + -3482 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + ee93036d-9997-483c-8552-de089dd4c99c + true + Material + Material + false + 0 + + + + + + 4345 + -3572 + 43 + 100 + + + 4368 + -3522 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 65ac4482-b933-4f95-9a07-b23d2cef1c6a + true + Custom Preview + Custom Preview + + + + + + + 4277 + -3636 + 82 + 44 + + + 4345 + -3614 + + + + + + Geometry to preview + true + f898a738-0820-4631-aeef-a5195fb0f7df + true + Geometry + Geometry + false + 9fd0b496-5590-469c-9d73-be4bb1965f90 + 1 + + + + + + 4279 + -3634 + 51 + 20 + + + 4306 + -3624 + + + + + + + + The material override + 26559eaa-9c07-4e60-8e34-94ecd3d2ebf0 + true + Material + Material + false + ee93036d-9997-483c-8552-de089dd4c99c + 1 + + + + + + 4279 + -3614 + 51 + 20 + + + 4306 + -3604 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 1db7d0ec-8709-47d7-82e0-4691e7efbe8b + true + Evaluate Length + Evaluate Length + + + + + + 4246 + -3719 + 144 + 64 + + + 4320 + -3687 + + + + + + Curve to evaluate + bc77b9c3-ff4d-43ee-9957-74e39a55ce61 + true + Curve + Curve + false + 9fd0b496-5590-469c-9d73-be4bb1965f90 + 1 + + + + + + 4248 + -3717 + 57 + 20 + + + 4278 + -3707 + + + + + + + + Length factor for curve evaluation + 6915e62a-edd4-44cb-bf03-7535a64afcac + true + Length + Length + false + 0 + + + + + + 4248 + -3697 + 57 + 20 + + + 4278 + -3687 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 266bd85c-7f88-41d8-9c3b-3ce0b341a5f8 + true + Normalized + Normalized + false + 0 + + + + + + 4248 + -3677 + 57 + 20 + + + 4278 + -3667 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8d3777b7-0158-4820-9120-622aa905cd46 + true + Point + Point + false + 0 + + + + + + 4335 + -3717 + 53 + 20 + + + 4363 + -3707 + + + + + + + + Tangent vector at the specified length + c1141206-a7b5-4b08-945d-fae603d78f89 + true + Tangent + Tangent + false + 0 + + + + + + 4335 + -3697 + 53 + 20 + + + 4363 + -3687 + + + + + + + + Curve parameter at the specified length + da4c5437-7848-496c-b53a-7842912a6a34 + true + Parameter + Parameter + false + 0 + + + + + + 4335 + -3677 + 53 + 20 + + + 4363 + -3667 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + eefa2f3e-ae14-4853-9588-e0ad60346408 + true + Interpolate + Interpolate + + + + + + 4255 + -3823 + 125 + 84 + + + 4322 + -3781 + + + + + + 1 + Interpolation points + df8c0ec6-5fac-4764-8313-e7a47148776a + true + Vertices + Vertices + false + 8d3777b7-0158-4820-9120-622aa905cd46 + 1 + + + + + + 4257 + -3821 + 50 + 20 + + + 4283.5 + -3811 + + + + + + + + Curve degree + 8035489e-8099-4a6b-8f0b-573557cc8ffa + true + Degree + Degree + false + 0 + + + + + + 4257 + -3801 + 50 + 20 + + + 4283.5 + -3791 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 0ddd8548-ed83-4c21-a12b-2a19ff7067e8 + true + Periodic + Periodic + false + 0 + + + + + + 4257 + -3781 + 50 + 20 + + + 4283.5 + -3771 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 4871b378-5d48-4299-a11f-818b754ea8ba + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4257 + -3761 + 50 + 20 + + + 4283.5 + -3751 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + e2f91283-565e-4ab1-9d00-f5fd3962d8aa + true + Curve + Curve + false + 0 + + + + + + 4337 + -3821 + 41 + 26 + + + 4359 + -3807.667 + + + + + + + + Curve length + d7ab0794-2125-44ea-a786-889086e9224f + true + Length + Length + false + 0 + + + + + + 4337 + -3795 + 41 + 27 + + + 4359 + -3781 + + + + + + + + Curve domain + 4d96f078-c2cb-4b7a-85c1-451ddbb400a1 + true + Domain + Domain + false + 0 + + + + + + 4337 + -3768 + 41 + 27 + + + 4359 + -3754.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + a9846cd4-c92f-4ca4-904e-88b9fe76c39c + true + Create Material + Create Material + + + + + + 4246 + -3947 + 144 + 104 + + + 4330 + -3895 + + + + + + Colour of the diffuse channel + 4081cfba-8922-4ccc-b948-7aba29e7e1e4 + true + Diffuse + Diffuse + false + 0 + + + + + + 4248 + -3945 + 67 + 20 + + + 4283 + -3935 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;184;184;184 + + + + + + + + + + + + Colour of the specular highlight + d723a763-d553-4cc2-ab56-75c9564fa4ff + true + Specular + Specular + false + 0 + + + + + + 4248 + -3925 + 67 + 20 + + + 4283 + -3915 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 2ce26172-d066-4510-90d0-821d66b9c178 + true + Emission + Emission + false + 0 + + + + + + 4248 + -3905 + 67 + 20 + + + 4283 + -3895 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 1c055ac1-e75c-42d8-85f9-17e5fe94c3c0 + true + Transparency + Transparency + false + 0 + + + + + + 4248 + -3885 + 67 + 20 + + + 4283 + -3875 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 26da2058-31ab-414b-81d8-a0ef9a78f436 + true + Shine + Shine + false + 0 + + + + + + 4248 + -3865 + 67 + 20 + + + 4283 + -3855 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + c4947d2a-cae5-43ca-8a4e-5871ca9ef4cc + true + Material + Material + false + 0 + + + + + + 4345 + -3945 + 43 + 100 + + + 4368 + -3895 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 100d237b-fd67-4830-be89-c236745d92e8 + true + Custom Preview + Custom Preview + + + + + + + 4277 + -4007 + 82 + 44 + + + 4345 + -3985 + + + + + + Geometry to preview + true + 55d282f5-6904-4842-8806-7ff55e58df22 + true + Geometry + Geometry + false + e2f91283-565e-4ab1-9d00-f5fd3962d8aa + 1 + + + + + + 4279 + -4005 + 51 + 20 + + + 4306 + -3995 + + + + + + + + The material override + 22bdecdb-6352-498a-997a-71934bc18892 + true + Material + Material + false + c4947d2a-cae5-43ca-8a4e-5871ca9ef4cc + 1 + + + + + + 4279 + -3985 + 51 + 20 + + + 4306 + -3975 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6a9f6fc8-e007-4c87-9e66-f55fa953e45c + 94fef812-42f9-4896-95a0-5c758161262c + 255409ab-7bab-43a8-aaea-5e6d3f7310ab + a091b70d-3ba1-4305-bb37-e15b698fe16a + 2f126b04-498b-4c3f-b6b9-3930e501651f + 4df78a5a-5077-4e48-a01a-683d75226473 + 26121879-3995-4c35-a66b-5ea41fec4602 + 245de714-0f3c-45d0-b6c4-c41f9515e3fa + f997ee14-2084-4ab4-9437-5e10d7cd52d4 + 3f5a2e69-963e-465f-9a2d-669b8d27d21b + 2ac319ec-fa3b-48a9-b5bc-e02e9273722f + 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 + 75e33218-a1f1-47f6-84f2-61f99d162294 + f4498488-3182-41de-bfe4-5dd1a2ecdfc7 + a98f3a41-8c19-4e9e-913a-28e05e4daf27 + e4f5b0a2-58e9-4e30-9461-33f00d5672c4 + ca4c5c4d-c0a4-480f-b0d8-31eaa72ee7f9 + a798d6fb-4c16-4f3b-bb88-1cde76f46b6c + b19c1b10-a682-4bbb-addc-9ac35992fdbc + 42179dd5-e5d6-452c-b478-e8ccc4329041 + ac4acc33-29c1-4609-86ba-b90878e9b36f + 3dc4cf53-4a61-4a5b-9d43-57fdb91b7ff2 + 22 + cd50e1b3-e2b3-4550-979f-3a1e22383084 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2f126b04-498b-4c3f-b6b9-3930e501651f + 4df78a5a-5077-4e48-a01a-683d75226473 + 26121879-3995-4c35-a66b-5ea41fec4602 + 245de714-0f3c-45d0-b6c4-c41f9515e3fa + f997ee14-2084-4ab4-9437-5e10d7cd52d4 + 3f5a2e69-963e-465f-9a2d-669b8d27d21b + 2ac319ec-fa3b-48a9-b5bc-e02e9273722f + 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 + 75e33218-a1f1-47f6-84f2-61f99d162294 + f4498488-3182-41de-bfe4-5dd1a2ecdfc7 + a98f3a41-8c19-4e9e-913a-28e05e4daf27 + d8ca333f-274c-4def-b0be-659a62d86c0c + 12 + 6a9f6fc8-e007-4c87-9e66-f55fa953e45c + Group + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 94fef812-42f9-4896-95a0-5c758161262c + true + Relative Differences + Relative Differences + + + + + + 4244 + -4137 + 128 + 28 + + + 4297 + -4123 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 367de0f1-cc3a-4c51-94e2-68aeffec04de + true + Values + Values + false + a091b70d-3ba1-4305-bb37-e15b698fe16a + 1 + + + + + + 4246 + -4135 + 36 + 24 + + + 4265.5 + -4123 + + + + + + + + 1 + Differences between consecutive items + fe0b0f9d-25f6-4ef7-b130-46e021fb117c + true + Differenced + Differenced + false + 0 + + + + + + 4312 + -4135 + 58 + 24 + + + 4342.5 + -4123 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 255409ab-7bab-43a8-aaea-5e6d3f7310ab + true + Relay + + false + fe0b0f9d-25f6-4ef7-b130-46e021fb117c + 1 + + + + + + 4288 + -4171 + 40 + 16 + + + 4308 + -4163 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a091b70d-3ba1-4305-bb37-e15b698fe16a + true + Relay + + false + 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 + 1 + + + + + + 4288 + -4089 + 40 + 16 + + + 4308 + -4081 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 2f126b04-498b-4c3f-b6b9-3930e501651f + true + Line SDL + Line SDL + + + + + + 4243 + -4866 + 122 + 64 + + + 4323 + -4834 + + + + + + Line start point + 67607b47-bb2d-4d1c-8424-3d09b8cfdd12 + true + Start + Start + false + 8d3777b7-0158-4820-9120-622aa905cd46 + 1 + + + + + + 4245 + -4864 + 63 + 20 + + + 4286 + -4854 + + + + + + + + Line tangent (direction) + 729a0858-a439-4b71-ba15-9220fe10ce4e + true + Direction + Direction + false + 4df78a5a-5077-4e48-a01a-683d75226473 + 1 + + + + + + 4245 + -4844 + 63 + 20 + + + 4286 + -4834 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 0a98c27f-4e50-46be-8fad-f9ed4377317b + ABS(X) + true + Length + Length + false + 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 + 1 + + + + + + 4245 + -4824 + 63 + 20 + + + 4286 + -4814 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 8ed14837-7174-47e7-a5b8-f4c28f3778d0 + true + Line + Line + false + 0 + + + + + + 4338 + -4864 + 25 + 60 + + + 4352 + -4834 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4df78a5a-5077-4e48-a01a-683d75226473 + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4284 + -4784 + 40 + 16 + + + 4304 + -4776 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 245de714-0f3c-45d0-b6c4-c41f9515e3fa + true + Remap Numbers + Remap Numbers + + + + + + 4246 + -4502 + 115 + 64 + + + 4301 + -4470 + + + + + + Value to remap + 78220fc5-ef9a-417a-905c-062cb8ca437d + true + Value + Value + false + 2ac319ec-fa3b-48a9-b5bc-e02e9273722f + 1 + + + + + + 4248 + -4500 + 38 + 20 + + + 4268.5 + -4490 + + + + + + + + Source domain + 00a02fca-ec20-4c0f-8779-783399520de1 + true + Source + Source + false + 6638590f-751a-4472-9612-af35db224cba + 1 + + + + + + 4248 + -4480 + 38 + 20 + + + 4268.5 + -4470 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + ab1aeac0-047f-474f-90dd-c38a9f26cdfb + true + Target + Target + false + 0 + + + + + + 4248 + -4460 + 38 + 20 + + + 4268.5 + -4450 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + d7a4705d-0f84-48f1-b027-18cee9d886c4 + true + Mapped + Mapped + false + 0 + + + + + + 4316 + -4500 + 43 + 30 + + + 4339 + -4485 + + + + + + + + Remapped and clipped number + 438d903d-32fb-47b6-92da-9741aaba417c + true + Clipped + Clipped + false + 0 + + + + + + 4316 + -4470 + 43 + 30 + + + 4339 + -4455 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + f997ee14-2084-4ab4-9437-5e10d7cd52d4 + true + Bounds + Bounds + + + + + + 4243 + -4419 + 122 + 28 + + + 4307 + -4405 + + + + + + 1 + Numbers to include in Bounds + d5615fe7-fa1d-4238-8ef1-e76cdc0dbe53 + true + Numbers + Numbers + false + 2ac319ec-fa3b-48a9-b5bc-e02e9273722f + 1 + + + + + + 4245 + -4417 + 47 + 24 + + + 4270 + -4405 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 6638590f-751a-4472-9612-af35db224cba + true + Domain + Domain + false + 0 + + + + + + 4322 + -4417 + 41 + 24 + + + 4344 + -4405 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + 245de714-0f3c-45d0-b6c4-c41f9515e3fa + f997ee14-2084-4ab4-9437-5e10d7cd52d4 + c3830b7d-0858-410d-89db-9af833da8bf5 + 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 + 2ac319ec-fa3b-48a9-b5bc-e02e9273722f + 26121879-3995-4c35-a66b-5ea41fec4602 + 75e33218-a1f1-47f6-84f2-61f99d162294 + 2cf94056-6af5-459d-9d0b-edb8f8adea38 + 15 + 3f5a2e69-963e-465f-9a2d-669b8d27d21b + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2ac319ec-fa3b-48a9-b5bc-e02e9273722f + true + Relay + + false + 255409ab-7bab-43a8-aaea-5e6d3f7310ab + 1 + + + + + + 4284 + -4374 + 40 + 16 + + + 4304 + -4366 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0dbb0e9a-0557-4c9f-bd22-0adf1be2d2a6 + true + Relay + + false + 00fc5d31-f74d-43f8-ae07-8bb418bc4c5a + 1 + + + + + + 4284 + -4741 + 40 + 16 + + + 4304 + -4733 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 75e33218-a1f1-47f6-84f2-61f99d162294 + true + Multiplication + Multiplication + + + + + + 4263 + -4702 + 82 + 44 + + + 4294 + -4680 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 4341fd90-ace9-4860-9ac1-6924c6f803bc + true + A + A + true + 4333ce65-0670-473c-869e-fd9bd04229cf + 1 + + + + + + 4265 + -4700 + 14 + 20 + + + 4273.5 + -4690 + + + + + + + + Second item for multiplication + b18c525e-47bb-4a4e-8c7f-7d37922cc8ac + true + B + B + true + 2cf94056-6af5-459d-9d0b-edb8f8adea38 + 1 + + + + + + 4265 + -4680 + 14 + 20 + + + 4273.5 + -4670 + + + + + + + + Result of multiplication + 00fc5d31-f74d-43f8-ae07-8bb418bc4c5a + true + Result + Result + false + 0 + + + + + + 4309 + -4700 + 34 + 40 + + + 4327.5 + -4680 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + f4498488-3182-41de-bfe4-5dd1a2ecdfc7 + true + Multiplication + Multiplication + + + + + + 4263 + -4601 + 82 + 44 + + + 4294 + -4579 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 69c0e289-3b78-44a2-aa4a-c278eba7c73c + true + A + A + true + d7a4705d-0f84-48f1-b027-18cee9d886c4 + 1 + + + + + + 4265 + -4599 + 14 + 20 + + + 4273.5 + -4589 + + + + + + + + Second item for multiplication + 2e5c99f5-44c0-4d0c-be99-a3a244abc0fc + true + B + B + true + a98f3a41-8c19-4e9e-913a-28e05e4daf27 + 1 + + + + + + 4265 + -4579 + 14 + 20 + + + 4273.5 + -4569 + + + + + + + + Result of multiplication + 4333ce65-0670-473c-869e-fd9bd04229cf + true + Result + Result + false + 0 + + + + + + 4309 + -4599 + 34 + 40 + + + 4327.5 + -4579 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a98f3a41-8c19-4e9e-913a-28e05e4daf27 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4284 + -4539 + 40 + 16 + + + 4304 + -4531 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 255409ab-7bab-43a8-aaea-5e6d3f7310ab + a091b70d-3ba1-4305-bb37-e15b698fe16a + 94fef812-42f9-4896-95a0-5c758161262c + 3 + e4f5b0a2-58e9-4e30-9461-33f00d5672c4 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + ca4c5c4d-c0a4-480f-b0d8-31eaa72ee7f9 + true + Create Material + Create Material + + + + + + 4232 + -4990 + 144 + 104 + + + 4316 + -4938 + + + + + + Colour of the diffuse channel + 25494929-7b84-4be2-88a7-a974558005a2 + true + Diffuse + Diffuse + false + 0 + + + + + + 4234 + -4988 + 67 + 20 + + + 4269 + -4978 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;201;201;201 + + + + + + + + + + + + Colour of the specular highlight + 6c0fb82e-c5d5-479e-a322-ece4a03394a8 + true + Specular + Specular + false + 0 + + + + + + 4234 + -4968 + 67 + 20 + + + 4269 + -4958 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 236b244e-0db7-45f2-a214-61c0d38d3335 + true + Emission + Emission + false + 0 + + + + + + 4234 + -4948 + 67 + 20 + + + 4269 + -4938 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 9395af38-376a-418d-904c-112532c004a0 + true + Transparency + Transparency + false + 0 + + + + + + 4234 + -4928 + 67 + 20 + + + 4269 + -4918 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 7669361e-69da-4c47-a524-bcffd7cd2c0e + true + Shine + Shine + false + 0 + + + + + + 4234 + -4908 + 67 + 20 + + + 4269 + -4898 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 6bd6548b-d902-40e4-bf34-1049267302b0 + true + Material + Material + false + 0 + + + + + + 4331 + -4988 + 43 + 100 + + + 4354 + -4938 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + a798d6fb-4c16-4f3b-bb88-1cde76f46b6c + true + Custom Preview + Custom Preview + + + + + + + 4263 + -5052 + 82 + 44 + + + 4331 + -5030 + + + + + + Geometry to preview + true + 64371237-cecb-44a0-be34-2f89426199a7 + true + Geometry + Geometry + false + 8ed14837-7174-47e7-a5b8-f4c28f3778d0 + 1 + + + + + + 4265 + -5050 + 51 + 20 + + + 4292 + -5040 + + + + + + + + The material override + 788d98bc-c6a3-46b2-93c7-68523390da47 + true + Material + Material + false + 6bd6548b-d902-40e4-bf34-1049267302b0 + 1 + + + + + + 4265 + -5030 + 51 + 20 + + + 4292 + -5020 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + b19c1b10-a682-4bbb-addc-9ac35992fdbc + true + Evaluate Length + Evaluate Length + + + + + + 4232 + -5135 + 144 + 64 + + + 4306 + -5103 + + + + + + Curve to evaluate + e85fd3f2-51bc-4d31-9131-07fedc772719 + true + Curve + Curve + false + 8ed14837-7174-47e7-a5b8-f4c28f3778d0 + 1 + + + + + + 4234 + -5133 + 57 + 20 + + + 4264 + -5123 + + + + + + + + Length factor for curve evaluation + bdc17ddd-a4be-4617-a9cf-bd0107e5aa04 + true + Length + Length + false + 0 + + + + + + 4234 + -5113 + 57 + 20 + + + 4264 + -5103 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + a0e1fe99-c517-44b7-9f34-ad29473bdb7f + true + Normalized + Normalized + false + 0 + + + + + + 4234 + -5093 + 57 + 20 + + + 4264 + -5083 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + bc29cb88-c13f-4b12-8911-f97c489562ea + true + Point + Point + false + 0 + + + + + + 4321 + -5133 + 53 + 20 + + + 4349 + -5123 + + + + + + + + Tangent vector at the specified length + 057801e0-d1f6-4f98-b8b2-544c0c8d667e + true + Tangent + Tangent + false + 0 + + + + + + 4321 + -5113 + 53 + 20 + + + 4349 + -5103 + + + + + + + + Curve parameter at the specified length + 349e7af4-bf20-41de-8576-1c2270ac51e2 + true + Parameter + Parameter + false + 0 + + + + + + 4321 + -5093 + 53 + 20 + + + 4349 + -5083 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 42179dd5-e5d6-452c-b478-e8ccc4329041 + true + Interpolate + Interpolate + + + + + + 4241 + -5239 + 125 + 84 + + + 4308 + -5197 + + + + + + 1 + Interpolation points + bd50e477-c50b-446f-bd00-4ad11163cf45 + true + Vertices + Vertices + false + bc29cb88-c13f-4b12-8911-f97c489562ea + 1 + + + + + + 4243 + -5237 + 50 + 20 + + + 4269.5 + -5227 + + + + + + + + Curve degree + a1dd5264-df8e-453a-b0ea-cffa70db96a7 + true + Degree + Degree + false + 0 + + + + + + 4243 + -5217 + 50 + 20 + + + 4269.5 + -5207 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + c48e02d6-e69a-45aa-b9a2-e7d4fdb553dd + true + Periodic + Periodic + false + 0 + + + + + + 4243 + -5197 + 50 + 20 + + + 4269.5 + -5187 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 0d00a672-6d63-4ea6-a79b-ba3516801867 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4243 + -5177 + 50 + 20 + + + 4269.5 + -5167 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 6b4d4575-8108-4fc8-bf3f-b8ba1640b2d0 + true + Curve + Curve + false + 0 + + + + + + 4323 + -5237 + 41 + 26 + + + 4345 + -5223.667 + + + + + + + + Curve length + 4203e371-b092-4bed-8271-4fcb88cff3d7 + true + Length + Length + false + 0 + + + + + + 4323 + -5211 + 41 + 27 + + + 4345 + -5197 + + + + + + + + Curve domain + de6c5fcd-a830-496a-a94c-439d602ba99e + true + Domain + Domain + false + 0 + + + + + + 4323 + -5184 + 41 + 27 + + + 4345 + -5170.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + ac4acc33-29c1-4609-86ba-b90878e9b36f + true + Create Material + Create Material + + + + + + 4232 + -5363 + 144 + 104 + + + 4316 + -5311 + + + + + + Colour of the diffuse channel + e9457f5d-35ca-4456-8b63-804cd55e6539 + true + Diffuse + Diffuse + false + 0 + + + + + + 4234 + -5361 + 67 + 20 + + + 4269 + -5351 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;176;176;176 + + + + + + + + + + + + Colour of the specular highlight + 4fd826f0-7cea-4d4e-886d-6e7e2995d0f7 + true + Specular + Specular + false + 0 + + + + + + 4234 + -5341 + 67 + 20 + + + 4269 + -5331 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 0bd816ff-a97c-4e7c-92cf-85b7122f1f60 + true + Emission + Emission + false + 0 + + + + + + 4234 + -5321 + 67 + 20 + + + 4269 + -5311 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 06efe0fa-c4ae-486d-be57-157afe35ad5a + true + Transparency + Transparency + false + 0 + + + + + + 4234 + -5301 + 67 + 20 + + + 4269 + -5291 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 474b5db1-c730-44c9-ae2f-fbb407650768 + true + Shine + Shine + false + 0 + + + + + + 4234 + -5281 + 67 + 20 + + + 4269 + -5271 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + d3757f9f-d417-4624-9492-43eea0d3d0aa + true + Material + Material + false + 0 + + + + + + 4331 + -5361 + 43 + 100 + + + 4354 + -5311 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 3dc4cf53-4a61-4a5b-9d43-57fdb91b7ff2 + true + Custom Preview + Custom Preview + + + + + + + 4263 + -5423 + 82 + 44 + + + 4331 + -5401 + + + + + + Geometry to preview + true + 7936315f-1721-480e-aa2d-cbdb015069de + true + Geometry + Geometry + false + 6b4d4575-8108-4fc8-bf3f-b8ba1640b2d0 + 1 + + + + + + 4265 + -5421 + 51 + 20 + + + 4292 + -5411 + + + + + + + + The material override + 7e6ab2af-b6bc-4f1d-a6a1-2196adb89854 + true + Material + Material + false + d3757f9f-d417-4624-9492-43eea0d3d0aa + 1 + + + + + + 4265 + -5401 + 51 + 20 + + + 4292 + -5391 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5ae9c4c4-0fdd-419a-8b20-550467d40768 + d84be735-4afa-4e87-89fd-0dd91e7ea031 + eff3ee73-0b0b-4d47-b016-c930d4e069aa + 4041360f-7411-470c-899a-d7a45700e87d + 1a6a7949-8787-48bd-b33a-603df220e9b8 + 2661cd71-a4df-4b62-bf83-1849fe5833ca + f9947fea-968d-4a00-a6cd-c45f937d1dce + 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 + 0894cd88-7d1c-4d0c-a116-d02b2766f541 + 91601ee3-b999-49b3-bc88-c3dbb40a1218 + e8543cfb-31ef-466a-8c10-2694678ddb24 + ce190195-9538-44f7-9ae0-aa92b1dbb12a + 999185a1-bdc2-49c3-b856-3479900f254b + b9d84ba3-9f37-4bdd-825b-3150762b1c2f + 68c98248-62ad-4df2-af60-f6ecf0eeb005 + 36f70708-8c92-4e52-8db3-af3700d6ed05 + a18f6543-bddc-4707-b9f1-c3de54d04df8 + 766feee9-94ce-4ae1-b353-3eb30b90d548 + 2d5623dd-b6c4-4bca-99dc-1fdc753fa7a0 + a6e7cf50-568a-4a69-b260-d8239fd6cfd5 + cbcf528b-ec99-4366-88c9-7821ca0b3868 + eec36f4c-60cb-4742-bd1d-d2f59b355b07 + 22 + 64e60f06-119f-42f8-b231-33efdd935130 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1a6a7949-8787-48bd-b33a-603df220e9b8 + 2661cd71-a4df-4b62-bf83-1849fe5833ca + f9947fea-968d-4a00-a6cd-c45f937d1dce + 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 + 0894cd88-7d1c-4d0c-a116-d02b2766f541 + 91601ee3-b999-49b3-bc88-c3dbb40a1218 + e8543cfb-31ef-466a-8c10-2694678ddb24 + ce190195-9538-44f7-9ae0-aa92b1dbb12a + 999185a1-bdc2-49c3-b856-3479900f254b + b9d84ba3-9f37-4bdd-825b-3150762b1c2f + 68c98248-62ad-4df2-af60-f6ecf0eeb005 + 4bb2abaa-9c90-4ee1-9d3e-af6d1b129f69 + aeba0375-f313-4a4a-8b7e-4eacde97eba4 + 13 + 5ae9c4c4-0fdd-419a-8b20-550467d40768 + Group + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + d84be735-4afa-4e87-89fd-0dd91e7ea031 + true + Relative Differences + Relative Differences + + + + + + 4239 + -5622 + 128 + 28 + + + 4292 + -5608 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 3e8be18c-9be8-4aa4-90e5-ccd06e444dd9 + true + Values + Values + false + 4041360f-7411-470c-899a-d7a45700e87d + 1 + + + + + + 4241 + -5620 + 36 + 24 + + + 4260.5 + -5608 + + + + + + + + 1 + Differences between consecutive items + 1f562b80-f400-412b-99a5-ec6b24e18c2f + true + Differenced + Differenced + false + 0 + + + + + + 4307 + -5620 + 58 + 24 + + + 4337.5 + -5608 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + eff3ee73-0b0b-4d47-b016-c930d4e069aa + true + Relay + + false + 1f562b80-f400-412b-99a5-ec6b24e18c2f + 1 + + + + + + 4283 + -5656 + 40 + 16 + + + 4303 + -5648 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4041360f-7411-470c-899a-d7a45700e87d + true + Relay + + false + 255409ab-7bab-43a8-aaea-5e6d3f7310ab + 1 + + + + + + 4283 + -5574 + 40 + 16 + + + 4303 + -5566 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 1a6a7949-8787-48bd-b33a-603df220e9b8 + true + Line SDL + Line SDL + + + + + + 4241 + -6353 + 122 + 64 + + + 4321 + -6321 + + + + + + Line start point + 1ca0d20b-076b-4ed9-a752-42758dee84b4 + true + Start + Start + false + bc29cb88-c13f-4b12-8911-f97c489562ea + 1 + + + + + + 4243 + -6351 + 63 + 20 + + + 4284 + -6341 + + + + + + + + Line tangent (direction) + 7835ecf1-4eba-488d-a140-57124bdc900a + true + Direction + Direction + false + 2661cd71-a4df-4b62-bf83-1849fe5833ca + 1 + + + + + + 4243 + -6331 + 63 + 20 + + + 4284 + -6321 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + d3022bee-fd8d-493c-b155-389266eb8c7a + ABS(X) + true + Length + Length + false + ce190195-9538-44f7-9ae0-aa92b1dbb12a + 1 + + + + + + 4243 + -6311 + 63 + 20 + + + 4284 + -6301 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 6ac2ff09-23b9-49c7-9641-907d5bc90f18 + true + Line + Line + false + 0 + + + + + + 4336 + -6351 + 25 + 60 + + + 4350 + -6321 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2661cd71-a4df-4b62-bf83-1849fe5833ca + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4282 + -6271 + 40 + 16 + + + 4302 + -6263 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 + true + Remap Numbers + Remap Numbers + + + + + + 4244 + -5989 + 115 + 64 + + + 4299 + -5957 + + + + + + Value to remap + 58781ee9-9b39-42ed-acec-28c2b6c8c7f0 + true + Value + Value + false + e8543cfb-31ef-466a-8c10-2694678ddb24 + 1 + + + + + + 4246 + -5987 + 38 + 20 + + + 4266.5 + -5977 + + + + + + + + Source domain + dbb0ecd7-8560-4144-b022-18afb6942aa5 + true + Source + Source + false + ace4b3f6-f707-4fd4-a9bd-fe4b81a1cc43 + 1 + + + + + + 4246 + -5967 + 38 + 20 + + + 4266.5 + -5957 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 14bea626-15dc-4bcd-a656-c2ae2fc2288d + true + Target + Target + false + 0 + + + + + + 4246 + -5947 + 38 + 20 + + + 4266.5 + -5937 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 05225228-e222-49df-931b-a1dfeaeab466 + true + Mapped + Mapped + false + 0 + + + + + + 4314 + -5987 + 43 + 30 + + + 4337 + -5972 + + + + + + + + Remapped and clipped number + c94c03ce-a99e-45d9-8d97-aa84fed03f33 + true + Clipped + Clipped + false + 0 + + + + + + 4314 + -5957 + 43 + 30 + + + 4337 + -5942 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 0894cd88-7d1c-4d0c-a116-d02b2766f541 + true + Bounds + Bounds + + + + + + 4241 + -5906 + 122 + 28 + + + 4305 + -5892 + + + + + + 1 + Numbers to include in Bounds + 46ce88e0-d336-48e8-9271-b95f11a869ac + true + Numbers + Numbers + false + e8543cfb-31ef-466a-8c10-2694678ddb24 + 1 + + + + + + 4243 + -5904 + 47 + 24 + + + 4268 + -5892 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + ace4b3f6-f707-4fd4-a9bd-fe4b81a1cc43 + true + Domain + Domain + false + 0 + + + + + + 4320 + -5904 + 41 + 24 + + + 4342 + -5892 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + 9d92b0a6-f64d-41d0-83e0-d3bd5f4ba174 + 0894cd88-7d1c-4d0c-a116-d02b2766f541 + c3830b7d-0858-410d-89db-9af833da8bf5 + ce190195-9538-44f7-9ae0-aa92b1dbb12a + e8543cfb-31ef-466a-8c10-2694678ddb24 + f9947fea-968d-4a00-a6cd-c45f937d1dce + 999185a1-bdc2-49c3-b856-3479900f254b + 14 + 91601ee3-b999-49b3-bc88-c3dbb40a1218 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e8543cfb-31ef-466a-8c10-2694678ddb24 + true + Relay + + false + eff3ee73-0b0b-4d47-b016-c930d4e069aa + 1 + + + + + + 4282 + -5861 + 40 + 16 + + + 4302 + -5853 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + ce190195-9538-44f7-9ae0-aa92b1dbb12a + true + Relay + + false + ace3cccc-1ad7-4fc7-bbb4-fbac97ba8718 + 1 + + + + + + 4282 + -6228 + 40 + 16 + + + 4302 + -6220 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 999185a1-bdc2-49c3-b856-3479900f254b + true + Multiplication + Multiplication + + + + + + 4261 + -6189 + 82 + 44 + + + 4292 + -6167 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 5fb00b97-f199-404b-a29d-da89b6dde567 + true + A + A + true + eaa9d3a2-bd6b-4033-a1a9-20654334c897 + 1 + + + + + + 4263 + -6187 + 14 + 20 + + + 4271.5 + -6177 + + + + + + + + Second item for multiplication + 64d117fe-aace-435f-8590-100a0bea0086 + true + B + B + true + aeba0375-f313-4a4a-8b7e-4eacde97eba4 + 1 + + + + + + 4263 + -6167 + 14 + 20 + + + 4271.5 + -6157 + + + + + + + + Result of multiplication + ace3cccc-1ad7-4fc7-bbb4-fbac97ba8718 + true + Result + Result + false + 0 + + + + + + 4307 + -6187 + 34 + 40 + + + 4325.5 + -6167 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + b9d84ba3-9f37-4bdd-825b-3150762b1c2f + true + Multiplication + Multiplication + + + + + + 4261 + -6088 + 82 + 44 + + + 4292 + -6066 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 6ae60ffc-2358-4b3f-a9f1-2f9a6c2b73ed + true + A + A + true + 05225228-e222-49df-931b-a1dfeaeab466 + 1 + + + + + + 4263 + -6086 + 14 + 20 + + + 4271.5 + -6076 + + + + + + + + Second item for multiplication + b01dfe5b-e061-4a22-ae58-0629c2f8cabd + true + B + B + true + 68c98248-62ad-4df2-af60-f6ecf0eeb005 + 1 + + + + + + 4263 + -6066 + 14 + 20 + + + 4271.5 + -6056 + + + + + + + + Result of multiplication + eaa9d3a2-bd6b-4033-a1a9-20654334c897 + true + Result + Result + false + 0 + + + + + + 4307 + -6086 + 34 + 40 + + + 4325.5 + -6066 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 68c98248-62ad-4df2-af60-f6ecf0eeb005 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4282 + -6026 + 40 + 16 + + + 4302 + -6018 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + eff3ee73-0b0b-4d47-b016-c930d4e069aa + 4041360f-7411-470c-899a-d7a45700e87d + d84be735-4afa-4e87-89fd-0dd91e7ea031 + 3 + 36f70708-8c92-4e52-8db3-af3700d6ed05 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + a18f6543-bddc-4707-b9f1-c3de54d04df8 + true + Create Material + Create Material + + + + + + 4230 + -6477 + 144 + 104 + + + 4314 + -6425 + + + + + + Colour of the diffuse channel + 4bfe5e86-c41e-4f30-89af-a24c4bd45b50 + true + Diffuse + Diffuse + false + 0 + + + + + + 4232 + -6475 + 67 + 20 + + + 4267 + -6465 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;194;194;194 + + + + + + + + + + + + Colour of the specular highlight + 77e1e980-2949-416c-a018-b3c2ef85dcdf + true + Specular + Specular + false + 0 + + + + + + 4232 + -6455 + 67 + 20 + + + 4267 + -6445 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + f2ad1c23-19e6-4bb7-a5c1-2bd0d1e214a1 + true + Emission + Emission + false + 0 + + + + + + 4232 + -6435 + 67 + 20 + + + 4267 + -6425 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 8b9db721-70d1-424e-b550-a789b17c303b + true + Transparency + Transparency + false + 0 + + + + + + 4232 + -6415 + 67 + 20 + + + 4267 + -6405 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 7fa4e3a6-021a-4881-ba4d-46293c73c225 + true + Shine + Shine + false + 0 + + + + + + 4232 + -6395 + 67 + 20 + + + 4267 + -6385 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 8e039377-5e77-484b-8fd0-fb84649ce474 + true + Material + Material + false + 0 + + + + + + 4329 + -6475 + 43 + 100 + + + 4352 + -6425 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 766feee9-94ce-4ae1-b353-3eb30b90d548 + true + Custom Preview + Custom Preview + + + + + + + 4261 + -6539 + 82 + 44 + + + 4329 + -6517 + + + + + + Geometry to preview + true + 296fdcd7-5819-4594-9960-b1aea4a38b5f + true + Geometry + Geometry + false + 6ac2ff09-23b9-49c7-9641-907d5bc90f18 + 1 + + + + + + 4263 + -6537 + 51 + 20 + + + 4290 + -6527 + + + + + + + + The material override + 5275e0e9-2a77-4a7b-9d90-2e1073660d6a + true + Material + Material + false + 8e039377-5e77-484b-8fd0-fb84649ce474 + 1 + + + + + + 4263 + -6517 + 51 + 20 + + + 4290 + -6507 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 2d5623dd-b6c4-4bca-99dc-1fdc753fa7a0 + true + Evaluate Length + Evaluate Length + + + + + + 4230 + -6622 + 144 + 64 + + + 4304 + -6590 + + + + + + Curve to evaluate + 93e4ca7a-ac6e-4511-b4f4-9a97007f3708 + true + Curve + Curve + false + 6ac2ff09-23b9-49c7-9641-907d5bc90f18 + 1 + + + + + + 4232 + -6620 + 57 + 20 + + + 4262 + -6610 + + + + + + + + Length factor for curve evaluation + bcb7ffad-e641-47a0-a396-e7500991bc58 + true + Length + Length + false + 0 + + + + + + 4232 + -6600 + 57 + 20 + + + 4262 + -6590 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + b9a1a6e8-8119-4341-ae4c-3d8415523d47 + true + Normalized + Normalized + false + 0 + + + + + + 4232 + -6580 + 57 + 20 + + + 4262 + -6570 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 67f3e77d-3352-4cab-bef0-40379ae22b9b + true + Point + Point + false + 0 + + + + + + 4319 + -6620 + 53 + 20 + + + 4347 + -6610 + + + + + + + + Tangent vector at the specified length + c6f41415-c1d3-4db5-b0e9-411fde86fa5e + true + Tangent + Tangent + false + 0 + + + + + + 4319 + -6600 + 53 + 20 + + + 4347 + -6590 + + + + + + + + Curve parameter at the specified length + 8b63082e-e6fb-4d63-8bef-5e12158500e0 + true + Parameter + Parameter + false + 0 + + + + + + 4319 + -6580 + 53 + 20 + + + 4347 + -6570 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + a6e7cf50-568a-4a69-b260-d8239fd6cfd5 + true + Interpolate + Interpolate + + + + + + 4239 + -6726 + 125 + 84 + + + 4306 + -6684 + + + + + + 1 + Interpolation points + 8ede0505-6080-49f8-8a13-222ff3826775 + true + Vertices + Vertices + false + 67f3e77d-3352-4cab-bef0-40379ae22b9b + 1 + + + + + + 4241 + -6724 + 50 + 20 + + + 4267.5 + -6714 + + + + + + + + Curve degree + 195d02d9-53aa-4d8f-972d-253ac00a5a97 + true + Degree + Degree + false + 0 + + + + + + 4241 + -6704 + 50 + 20 + + + 4267.5 + -6694 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + ba7e5a28-b315-4375-9e68-04c4735b8c3d + true + Periodic + Periodic + false + 0 + + + + + + 4241 + -6684 + 50 + 20 + + + 4267.5 + -6674 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + b7284919-07be-414c-bbf6-c22fffdb03ae + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4241 + -6664 + 50 + 20 + + + 4267.5 + -6654 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 4371434e-cdd5-4319-b921-c6483ea00395 + true + Curve + Curve + false + 0 + + + + + + 4321 + -6724 + 41 + 26 + + + 4343 + -6710.667 + + + + + + + + Curve length + a6fc1d64-6585-4a06-ab5d-ab49123079c1 + true + Length + Length + false + 0 + + + + + + 4321 + -6698 + 41 + 27 + + + 4343 + -6684 + + + + + + + + Curve domain + f6768abc-a465-4932-8f04-ec5193f649a6 + true + Domain + Domain + false + 0 + + + + + + 4321 + -6671 + 41 + 27 + + + 4343 + -6657.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + cbcf528b-ec99-4366-88c9-7821ca0b3868 + true + Create Material + Create Material + + + + + + 4230 + -6850 + 144 + 104 + + + 4314 + -6798 + + + + + + Colour of the diffuse channel + 2fbe3cfd-ff90-4db1-b765-c7e1d04fbb37 + true + Diffuse + Diffuse + false + 0 + + + + + + 4232 + -6848 + 67 + 20 + + + 4267 + -6838 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;168;168;168 + + + + + + + + + + + + Colour of the specular highlight + 88874422-d8f7-4c08-babe-a5c500b043c3 + true + Specular + Specular + false + 0 + + + + + + 4232 + -6828 + 67 + 20 + + + 4267 + -6818 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 2df3ddb1-d60b-41d7-a15b-33a40d3773dd + true + Emission + Emission + false + 0 + + + + + + 4232 + -6808 + 67 + 20 + + + 4267 + -6798 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 3d4f6ac3-b3d4-4c34-9edc-d645adaa9797 + true + Transparency + Transparency + false + 0 + + + + + + 4232 + -6788 + 67 + 20 + + + 4267 + -6778 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 76f0cb28-085f-42f6-9306-b3bcd5d525cf + true + Shine + Shine + false + 0 + + + + + + 4232 + -6768 + 67 + 20 + + + 4267 + -6758 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 296b7776-70cb-4253-9bce-d083e5d76649 + true + Material + Material + false + 0 + + + + + + 4329 + -6848 + 43 + 100 + + + 4352 + -6798 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + eec36f4c-60cb-4742-bd1d-d2f59b355b07 + true + Custom Preview + Custom Preview + + + + + + + 4261 + -6910 + 82 + 44 + + + 4329 + -6888 + + + + + + Geometry to preview + true + 042b6aa7-5cf0-41f2-9ca6-b9f834ffa2a5 + true + Geometry + Geometry + false + 4371434e-cdd5-4319-b921-c6483ea00395 + 1 + + + + + + 4263 + -6908 + 51 + 20 + + + 4290 + -6898 + + + + + + + + The material override + 9ab58b30-8fbb-437d-85eb-19be1daaa4fc + true + Material + Material + false + 296b7776-70cb-4253-9bce-d083e5d76649 + 1 + + + + + + 4263 + -6888 + 51 + 20 + + + 4290 + -6878 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a90d60d2-8b5e-48d7-a33a-454602481a06 + 7bf6b03e-3d8e-48ad-8a8f-5afcba410d06 + 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 + 98a18393-1059-451a-ac38-07eec50efbb7 + 5cd4bee0-683e-4287-be9c-d6cdc684ddd0 + 9d4b00cb-659e-4035-8c4c-0bfab49f732e + 06c37c6f-92ed-4603-a7ef-6624026b46c0 + 60f1953e-44fb-46e3-bd82-14c3da791de3 + 72196528-b84a-4f1b-b7ca-76264abdc748 + fa933163-8b78-458d-b1ac-825f7bd3f6fd + 9c9e8065-86c2-4798-93bf-1eb80b288f2a + 69c43f9f-8ad5-4294-b6b7-417f23e6558d + bc09a16c-abd9-4fa6-b060-f38c5f357782 + d940ab37-fb9b-4eaf-b5bf-126c8adb4e50 + 34a14a42-f662-4a1d-9a93-054d477ac704 + 231e1df4-9237-4d03-9cb4-cb6329f1e5b4 + 4ac7d93a-83bc-4097-a09f-085ff4b7a496 + b176544c-2084-4538-95e4-30ad483bbbc3 + 3f7c293b-8bda-4841-bb51-5b3fee67daac + 923b0d30-c122-4312-be66-898daa214df3 + d13ab75b-aade-4726-b7f6-bd13c77e36b4 + 254266e4-e3e4-4446-adb4-c5e696068203 + 22 + 7c42b68f-945c-4b1c-9b43-f8f3a6fcd50f + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5cd4bee0-683e-4287-be9c-d6cdc684ddd0 + 9d4b00cb-659e-4035-8c4c-0bfab49f732e + 06c37c6f-92ed-4603-a7ef-6624026b46c0 + 60f1953e-44fb-46e3-bd82-14c3da791de3 + 72196528-b84a-4f1b-b7ca-76264abdc748 + fa933163-8b78-458d-b1ac-825f7bd3f6fd + 9c9e8065-86c2-4798-93bf-1eb80b288f2a + 69c43f9f-8ad5-4294-b6b7-417f23e6558d + bc09a16c-abd9-4fa6-b060-f38c5f357782 + d940ab37-fb9b-4eaf-b5bf-126c8adb4e50 + 34a14a42-f662-4a1d-9a93-054d477ac704 + 70b9b4d5-9f59-4bec-8b95-44a825aff278 + 12 + a90d60d2-8b5e-48d7-a33a-454602481a06 + Group + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 7bf6b03e-3d8e-48ad-8a8f-5afcba410d06 + true + Relative Differences + Relative Differences + + + + + + 4243 + -7108 + 128 + 28 + + + 4296 + -7094 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + ffe32b16-1490-4131-bd81-59c1fffe0f1e + true + Values + Values + false + 98a18393-1059-451a-ac38-07eec50efbb7 + 1 + + + + + + 4245 + -7106 + 36 + 24 + + + 4264.5 + -7094 + + + + + + + + 1 + Differences between consecutive items + e56d41ed-bf3f-48d5-8d46-11ca14422590 + true + Differenced + Differenced + false + 0 + + + + + + 4311 + -7106 + 58 + 24 + + + 4341.5 + -7094 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 + true + Relay + + false + e56d41ed-bf3f-48d5-8d46-11ca14422590 + 1 + + + + + + 4287 + -7142 + 40 + 16 + + + 4307 + -7134 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 98a18393-1059-451a-ac38-07eec50efbb7 + true + Relay + + false + eff3ee73-0b0b-4d47-b016-c930d4e069aa + 1 + + + + + + 4287 + -7060 + 40 + 16 + + + 4307 + -7052 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 5cd4bee0-683e-4287-be9c-d6cdc684ddd0 + true + Line SDL + Line SDL + + + + + + 4240 + -7839 + 122 + 64 + + + 4320 + -7807 + + + + + + Line start point + 357d12be-6f06-405b-8a7d-67b2956260bd + true + Start + Start + false + 67f3e77d-3352-4cab-bef0-40379ae22b9b + 1 + + + + + + 4242 + -7837 + 63 + 20 + + + 4283 + -7827 + + + + + + + + Line tangent (direction) + 95d26d76-69dd-4889-bb53-dbce30dc7189 + true + Direction + Direction + false + 9d4b00cb-659e-4035-8c4c-0bfab49f732e + 1 + + + + + + 4242 + -7817 + 63 + 20 + + + 4283 + -7807 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 9332fed5-0709-4b9c-9e4e-e93bb1384bb9 + ABS(X) + true + Length + Length + false + 69c43f9f-8ad5-4294-b6b7-417f23e6558d + 1 + + + + + + 4242 + -7797 + 63 + 20 + + + 4283 + -7787 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 4bee827f-0abc-4f89-8ac3-16ac83a96459 + true + Line + Line + false + 0 + + + + + + 4335 + -7837 + 25 + 60 + + + 4349 + -7807 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 9d4b00cb-659e-4035-8c4c-0bfab49f732e + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4281 + -7757 + 40 + 16 + + + 4301 + -7749 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 60f1953e-44fb-46e3-bd82-14c3da791de3 + true + Remap Numbers + Remap Numbers + + + + + + 4243 + -7475 + 115 + 64 + + + 4298 + -7443 + + + + + + Value to remap + 48593c74-64e0-426a-896d-644ed39e3452 + true + Value + Value + false + 9c9e8065-86c2-4798-93bf-1eb80b288f2a + 1 + + + + + + 4245 + -7473 + 38 + 20 + + + 4265.5 + -7463 + + + + + + + + Source domain + 26edeb82-cc25-43f8-a59f-bd4e6e265821 + true + Source + Source + false + 52d6fa59-3d0a-4f1a-96f7-cd7d2cd8dfc3 + 1 + + + + + + 4245 + -7453 + 38 + 20 + + + 4265.5 + -7443 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 3e73bc70-ae01-41e3-8294-9ace75912b23 + true + Target + Target + false + 0 + + + + + + 4245 + -7433 + 38 + 20 + + + 4265.5 + -7423 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 624b5528-ad9d-4b73-a9c1-f233a4b61bf6 + true + Mapped + Mapped + false + 0 + + + + + + 4313 + -7473 + 43 + 30 + + + 4336 + -7458 + + + + + + + + Remapped and clipped number + 3783a63c-237b-41f7-a2fe-b7c3bb57d61b + true + Clipped + Clipped + false + 0 + + + + + + 4313 + -7443 + 43 + 30 + + + 4336 + -7428 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 72196528-b84a-4f1b-b7ca-76264abdc748 + true + Bounds + Bounds + + + + + + 4240 + -7392 + 122 + 28 + + + 4304 + -7378 + + + + + + 1 + Numbers to include in Bounds + b09502b8-e9f1-45b8-a33e-dbb71e90a920 + true + Numbers + Numbers + false + 9c9e8065-86c2-4798-93bf-1eb80b288f2a + 1 + + + + + + 4242 + -7390 + 47 + 24 + + + 4267 + -7378 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 52d6fa59-3d0a-4f1a-96f7-cd7d2cd8dfc3 + true + Domain + Domain + false + 0 + + + + + + 4319 + -7390 + 41 + 24 + + + 4341 + -7378 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f51f5f2d-941f-41ef-b98f-20f88c0f615c + afc9108c-9db9-441a-9c43-d667d1c32b78 + 58b4763e-c14f-475c-bea3-43146b32e6bd + 569a059d-e90a-4cb8-86b1-26bffb26bfcb + 80033146-5b4f-404e-b6dc-65dc753db8a1 + 145eea6c-da47-45fb-84e7-715c62530022 + 22307018-81e5-47cd-acd7-460831a3214c + 60f1953e-44fb-46e3-bd82-14c3da791de3 + 72196528-b84a-4f1b-b7ca-76264abdc748 + c3830b7d-0858-410d-89db-9af833da8bf5 + 69c43f9f-8ad5-4294-b6b7-417f23e6558d + 9c9e8065-86c2-4798-93bf-1eb80b288f2a + 06c37c6f-92ed-4603-a7ef-6624026b46c0 + bc09a16c-abd9-4fa6-b060-f38c5f357782 + d20d51a6-0c15-4c64-97de-546619bd377a + 15 + fa933163-8b78-458d-b1ac-825f7bd3f6fd + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 9c9e8065-86c2-4798-93bf-1eb80b288f2a + true + Relay + + false + 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 + 1 + + + + + + 4281 + -7347 + 40 + 16 + + + 4301 + -7339 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 69c43f9f-8ad5-4294-b6b7-417f23e6558d + true + Relay + + false + c4fd7ded-46c8-4ad0-8563-fdfb6416cee1 + 1 + + + + + + 4281 + -7714 + 40 + 16 + + + 4301 + -7706 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + bc09a16c-abd9-4fa6-b060-f38c5f357782 + true + Multiplication + Multiplication + + + + + + 4260 + -7675 + 82 + 44 + + + 4291 + -7653 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + e931389e-d169-4b88-ba1a-7c89d5f8bad3 + true + A + A + true + 7c83abf2-e560-41e6-98fe-488382df6abf + 1 + + + + + + 4262 + -7673 + 14 + 20 + + + 4270.5 + -7663 + + + + + + + + Second item for multiplication + b104166d-8536-42fb-bf25-619fe95d6218 + true + B + B + true + d20d51a6-0c15-4c64-97de-546619bd377a + 1 + + + + + + 4262 + -7653 + 14 + 20 + + + 4270.5 + -7643 + + + + + + + + Result of multiplication + c4fd7ded-46c8-4ad0-8563-fdfb6416cee1 + true + Result + Result + false + 0 + + + + + + 4306 + -7673 + 34 + 40 + + + 4324.5 + -7653 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + d940ab37-fb9b-4eaf-b5bf-126c8adb4e50 + true + Multiplication + Multiplication + + + + + + 4260 + -7574 + 82 + 44 + + + 4291 + -7552 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 0b530e6f-5ebd-46de-a702-011d2a81307f + true + A + A + true + 624b5528-ad9d-4b73-a9c1-f233a4b61bf6 + 1 + + + + + + 4262 + -7572 + 14 + 20 + + + 4270.5 + -7562 + + + + + + + + Second item for multiplication + 7f3bd519-2e72-4e91-9045-7f9488218fbb + true + B + B + true + 34a14a42-f662-4a1d-9a93-054d477ac704 + 1 + + + + + + 4262 + -7552 + 14 + 20 + + + 4270.5 + -7542 + + + + + + + + Result of multiplication + 7c83abf2-e560-41e6-98fe-488382df6abf + true + Result + Result + false + 0 + + + + + + 4306 + -7572 + 34 + 40 + + + 4324.5 + -7552 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 34a14a42-f662-4a1d-9a93-054d477ac704 + true + Relay + + false + db26abf6-6a27-458b-8296-41880794893f + 1 + + + + + + 4281 + -7512 + 40 + 16 + + + 4301 + -7504 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 + 98a18393-1059-451a-ac38-07eec50efbb7 + 7bf6b03e-3d8e-48ad-8a8f-5afcba410d06 + 3 + 231e1df4-9237-4d03-9cb4-cb6329f1e5b4 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 4ac7d93a-83bc-4097-a09f-085ff4b7a496 + true + Create Material + Create Material + + + + + + 4229 + -7963 + 144 + 104 + + + 4313 + -7911 + + + + + + Colour of the diffuse channel + 3ef6a971-3e75-463b-8293-b6d367e3c87e + true + Diffuse + Diffuse + false + 0 + + + + + + 4231 + -7961 + 67 + 20 + + + 4266 + -7951 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;186;186;186 + + + + + + + + + + + + Colour of the specular highlight + 40d2861e-7832-483d-ae74-a93e1b2c464a + true + Specular + Specular + false + 0 + + + + + + 4231 + -7941 + 67 + 20 + + + 4266 + -7931 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 6e7fd49c-46eb-4f33-b2f3-4f931bd738be + true + Emission + Emission + false + 0 + + + + + + 4231 + -7921 + 67 + 20 + + + 4266 + -7911 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + c86b6111-8fd5-4c21-a764-a53ebf94fc9b + true + Transparency + Transparency + false + 0 + + + + + + 4231 + -7901 + 67 + 20 + + + 4266 + -7891 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + a352bbf1-25c4-4ce1-98f2-339669fe48f8 + true + Shine + Shine + false + 0 + + + + + + 4231 + -7881 + 67 + 20 + + + 4266 + -7871 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + dbf70f62-537f-4179-b958-3a9a8519ee19 + true + Material + Material + false + 0 + + + + + + 4328 + -7961 + 43 + 100 + + + 4351 + -7911 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + b176544c-2084-4538-95e4-30ad483bbbc3 + true + Custom Preview + Custom Preview + + + + + + + 4260 + -8025 + 82 + 44 + + + 4328 + -8003 + + + + + + Geometry to preview + true + 2b7b259b-c267-4303-8945-127bfb52841f + true + Geometry + Geometry + false + 4bee827f-0abc-4f89-8ac3-16ac83a96459 + 1 + + + + + + 4262 + -8023 + 51 + 20 + + + 4289 + -8013 + + + + + + + + The material override + f17f6893-f9e7-4d3f-8c19-4c72a32eafc5 + true + Material + Material + false + dbf70f62-537f-4179-b958-3a9a8519ee19 + 1 + + + + + + 4262 + -8003 + 51 + 20 + + + 4289 + -7993 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 3f7c293b-8bda-4841-bb51-5b3fee67daac + true + Evaluate Length + Evaluate Length + + + + + + 4229 + -8108 + 144 + 64 + + + 4303 + -8076 + + + + + + Curve to evaluate + 8d326d08-6747-4dfc-b043-a9cab708d599 + true + Curve + Curve + false + 4bee827f-0abc-4f89-8ac3-16ac83a96459 + 1 + + + + + + 4231 + -8106 + 57 + 20 + + + 4261 + -8096 + + + + + + + + Length factor for curve evaluation + 9575e16a-b9dc-45b6-ad59-1237a8df15dd + true + Length + Length + false + 0 + + + + + + 4231 + -8086 + 57 + 20 + + + 4261 + -8076 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 827eb3f9-fa1d-4245-889c-16958037f49c + true + Normalized + Normalized + false + 0 + + + + + + 4231 + -8066 + 57 + 20 + + + 4261 + -8056 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + e19c4f4a-6476-45c5-85ec-a4bec3b7ee75 + true + Point + Point + false + 0 + + + + + + 4318 + -8106 + 53 + 20 + + + 4346 + -8096 + + + + + + + + Tangent vector at the specified length + 7cdc97d4-ab10-4674-add5-5707c5fd1985 + true + Tangent + Tangent + false + 0 + + + + + + 4318 + -8086 + 53 + 20 + + + 4346 + -8076 + + + + + + + + Curve parameter at the specified length + ca84891c-67ed-47da-a0e2-5c7230f5354a + true + Parameter + Parameter + false + 0 + + + + + + 4318 + -8066 + 53 + 20 + + + 4346 + -8056 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 923b0d30-c122-4312-be66-898daa214df3 + true + Interpolate + Interpolate + + + + + + 4238 + -8212 + 125 + 84 + + + 4305 + -8170 + + + + + + 1 + Interpolation points + c67aec7c-4ed3-46d5-8d61-c194e4d096f6 + true + Vertices + Vertices + false + e19c4f4a-6476-45c5-85ec-a4bec3b7ee75 + 1 + + + + + + 4240 + -8210 + 50 + 20 + + + 4266.5 + -8200 + + + + + + + + Curve degree + afb25838-4988-4047-94a0-6e3d6925ab7e + true + Degree + Degree + false + 0 + + + + + + 4240 + -8190 + 50 + 20 + + + 4266.5 + -8180 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 4b9d9664-1c8c-4bfe-a377-4914943cb9e3 + true + Periodic + Periodic + false + 0 + + + + + + 4240 + -8170 + 50 + 20 + + + 4266.5 + -8160 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 76d2c8d1-de05-4e59-87b8-d9919f4c9475 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 4240 + -8150 + 50 + 20 + + + 4266.5 + -8140 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + cdae18ea-9257-4789-8ad0-379d60880a1d + true + Curve + Curve + false + 0 + + + + + + 4320 + -8210 + 41 + 26 + + + 4342 + -8196.667 + + + + + + + + Curve length + b0bfa94c-3d40-46bc-827f-cf3598d4db23 + true + Length + Length + false + 0 + + + + + + 4320 + -8184 + 41 + 27 + + + 4342 + -8170 + + + + + + + + Curve domain + 4ab08a2c-4633-48bc-85e1-efd2d6ce0f08 + true + Domain + Domain + false + 0 + + + + + + 4320 + -8157 + 41 + 27 + + + 4342 + -8143.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + d13ab75b-aade-4726-b7f6-bd13c77e36b4 + true + Create Material + Create Material + + + + + + 4229 + -8336 + 144 + 104 + + + 4313 + -8284 + + + + + + Colour of the diffuse channel + 62929bd9-b896-49d7-b494-a78afcb55441 + true + Diffuse + Diffuse + false + 0 + + + + + + 4231 + -8334 + 67 + 20 + + + 4266 + -8324 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;161;161;161 + + + + + + + + + + + + Colour of the specular highlight + a172e753-e481-4551-8ecf-260e53d6377b + true + Specular + Specular + false + 0 + + + + + + 4231 + -8314 + 67 + 20 + + + 4266 + -8304 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 5a23d84e-78d0-4e6a-8a93-f227f55fef79 + true + Emission + Emission + false + 0 + + + + + + 4231 + -8294 + 67 + 20 + + + 4266 + -8284 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + fb0c3977-f34e-4195-a43a-210565a20274 + true + Transparency + Transparency + false + 0 + + + + + + 4231 + -8274 + 67 + 20 + + + 4266 + -8264 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 5fdfc1ac-7a38-4f36-b361-e798b1b1bd7b + true + Shine + Shine + false + 0 + + + + + + 4231 + -8254 + 67 + 20 + + + 4266 + -8244 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + e757b9b3-9378-4b6b-be97-a751cf00ceff + true + Material + Material + false + 0 + + + + + + 4328 + -8334 + 43 + 100 + + + 4351 + -8284 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 254266e4-e3e4-4446-adb4-c5e696068203 + true + Custom Preview + Custom Preview + + + + + + + 4260 + -8396 + 82 + 44 + + + 4328 + -8374 + + + + + + Geometry to preview + true + 61956c77-9189-4364-92a2-371a92b1ba5f + true + Geometry + Geometry + false + cdae18ea-9257-4789-8ad0-379d60880a1d + 1 + + + + + + 4262 + -8394 + 51 + 20 + + + 4289 + -8384 + + + + + + + + The material override + 93dd7c30-a051-4709-8cd2-edea080c9a4e + true + Material + Material + false + e757b9b3-9378-4b6b-be97-a751cf00ceff + 1 + + + + + + 4262 + -8374 + 51 + 20 + + + 4289 + -8364 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 6c6c28be-b01b-42e5-b60a-91c314905c9e + true + Quick Graph + Quick Graph + false + 0 + e59d7b8c-92a9-480e-88e5-0c1a30d07bfb + 1 + + + + + + 4246 + 1263 + 150 + 150 + + + 4246.364 + 1263 + + 0 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + af226fd0-4701-4be9-ac43-12af7cefc54c + true + Quick Graph + Quick Graph + false + 0 + 51a1523b-a0a2-4ba6-9546-b769abdcfcc4 + 1 + + + + + + 4246 + -116 + 150 + 150 + + + 4246.694 + -115.3705 + + 0 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + ac588950-bc7f-4799-998b-6293a8136543 + true + Quick Graph + Quick Graph + false + 0 + e9df2343-bcc4-4760-80bc-8ee2d703441d + 1 + + + + + + 4246 + -1529 + 150 + 150 + + + 4246 + -1528.14 + + 0 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 7ea7c812-fbf2-4ab8-9a4e-7edd89c68a35 + true + Quick Graph + Quick Graph + false + 0 + 8fe00e5e-7230-4b5e-ae66-b1f43f7afde0 + 1 + + + + + + 4245 + -2923 + 150 + 150 + + + 4245.352 + -2922.188 + + 0 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + d8ca333f-274c-4def-b0be-659a62d86c0c + true + Quick Graph + Quick Graph + false + 0 + 255409ab-7bab-43a8-aaea-5e6d3f7310ab + 1 + + + + + + 4230 + -4341 + 150 + 150 + + + 4230 + -4340.277 + + 0 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 4bb2abaa-9c90-4ee1-9d3e-af6d1b129f69 + true + Quick Graph + Quick Graph + false + 0 + eff3ee73-0b0b-4d47-b016-c930d4e069aa + 1 + + + + + + 4232 + -5826 + 150 + 150 + + + 4232 + -5825.794 + + 0 + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 70b9b4d5-9f59-4bec-8b95-44a825aff278 + true + Quick Graph + Quick Graph + false + 0 + 9dd09e8c-98da-4a8d-9fc9-0e15c2c98fa3 + 1 + + + + + + 4230 + -7312 + 150 + 150 + + + 4230 + -7311.181 + + 0 + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 99e5fe55-2e16-4fd9-bbf5-d60f020294b9 + true + Digit Scroller + + false + 0 + + + + + 12 + + 3 + + 0.170000000 + + + + + + 4183 + -1836 + 250 + 20 + + + 4183.949 + -1835.874 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + e9c988a3-a0f9-44b8-9dca-881e071528d5 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 9 + + 57.500 + + + + + + 4211 + -3220 + 250 + 20 + + + 4211.862 + -3219.823 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + aeba0375-f313-4a4a-8b7e-4eacde97eba4 + true + Digit Scroller + + false + 0 + + + + + 12 + + 4 + + 1179.13000000 + + + + + + 4169 + -6127 + 250 + 20 + + + 4169.419 + -6126.237 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b90c5c4a-28e8-406c-a48b-1e18f7e84271 + e5df8b8a-ee10-4243-b023-04465e1fd03a + 5c9bc050-34d7-4f48-9eb5-d2a900577182 + dc7cd620-40ec-4bbf-8777-36e3f82bb67d + f17fb7c5-c44a-431d-ba75-8edebac41101 + 9c4631ba-85e3-4b26-a0ed-ae48be61a573 + 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 + 62749b59-00b6-4050-8ac2-91ff2975c226 + 76b87ec4-3a97-42c3-8992-13acf6acf45f + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + e41d43db-4027-4b96-aff2-6b3977deeff6 + 57c81212-acf4-4901-86dd-71ef3e46c60d + 6544fcf4-de8d-4376-8953-865024da35a3 + a1095b3a-a75d-4dfe-874e-c9513ed7d845 + 006e868d-4bf3-44a6-b8d4-708f9a679606 + 163281f3-4fdd-4ec9-89f5-d9ea2684d152 + aab83e7e-03d3-46f1-8567-daf390ccafe4 + d9dc4818-8226-43f0-826b-743fe4bf5353 + 0ffd18d8-99db-40a1-81a8-50617de9a6c3 + e492ffd1-044a-40ee-b734-c2796609a1e2 + 284185cb-9b1b-44c4-9a94-6a846b6478b6 + 66cd6f40-485a-4239-8096-f910fb72f4bc + 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b + d732c384-05f7-4045-8076-3bfea40ab057 + 92a625da-b995-4055-bc08-7cd011bcb0ba + c815fdd0-2496-4b83-b382-bc3c6f6a4b8b + 059a3e69-9d54-4680-897c-cdf195bad7a8 + 298b80f0-dd2c-448e-bfd4-8abbb2f321ff + 7fce1877-7d49-42f2-9d77-f20f971a3c8d + be575d1d-b0b0-4169-9453-f139fa5a69fc + 3500c3b9-cff8-4242-841b-b21739eb2ce5 + 6bf311af-c478-40b6-8287-b57e5ebd2de6 + 19e6ba9f-ea5b-4adf-a53c-e38f7d1c7c24 + c1950f77-cc1d-4a94-8226-38115fad3527 + 34 + 82153d97-efd1-4c43-adfc-7c18a2863960 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5202e00c-44d2-4c14-a5b6-ef33c742b491 + a72d5419-fd91-41c5-b117-b1511799de43 + 6799a162-9bf6-4690-8e87-a1f7b11fc186 + 3dd22ce8-293a-4588-a9e5-2f0539214a5c + f1e198ee-8c72-43b0-bdfb-8896635b9001 + 749872a2-7981-49cb-a7d8-7f6b73442974 + 41b1f9fe-b540-498e-b66d-f9a253c44c97 + 922f54da-9ad1-4ce8-9fc7-6c168ad6d1ab + 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 + 64e05c4c-ae81-4d56-92b8-0d683e6178f7 + 401a4ec7-acb1-4812-b841-5ff8cafa66b1 + f6e745a8-7fe5-4039-af6b-f624d2e49c50 + 78dab7dd-d7e2-426b-bb90-b547c8224cb4 + c106ea49-3d33-4ec1-9439-7a451df09432 + ff3f4af7-3769-4434-b59a-235ecf1d678c + 3bad1a66-165a-405e-94ae-9c7c448ecc44 + e606582f-8157-4dd3-9d74-b8545096f2b1 + 5a142162-4b8f-4585-967e-5ce611b2ed6b + e9d1dc88-7240-4c0f-bb0a-9eef2eae717d + 0119e2c8-ab78-45ad-b993-71b743e8bc99 + aad5e89f-1689-4ac6-8192-4f4373cbea4f + 1fc6e624-7c49-41f9-becf-1b629588cf31 + 3198adc1-4a36-4f37-aea4-eff18ec21c4b + ea9452ce-f391-4a3d-9fb3-f180e8edf584 + d8b69669-a2bd-4187-9589-204f3dbe274a + 25 + 14ce4b09-3396-45db-b579-daf6cd4a779b + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e5df8b8a-ee10-4243-b023-04465e1fd03a + 5c9bc050-34d7-4f48-9eb5-d2a900577182 + dc7cd620-40ec-4bbf-8777-36e3f82bb67d + f17fb7c5-c44a-431d-ba75-8edebac41101 + 136cd97b-9deb-4449-b884-bf54a4c926d4 + 9c4631ba-85e3-4b26-a0ed-ae48be61a573 + 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 + 62749b59-00b6-4050-8ac2-91ff2975c226 + 76b87ec4-3a97-42c3-8992-13acf6acf45f + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + e41d43db-4027-4b96-aff2-6b3977deeff6 + 57c81212-acf4-4901-86dd-71ef3e46c60d + 6544fcf4-de8d-4376-8953-865024da35a3 + a1095b3a-a75d-4dfe-874e-c9513ed7d845 + 006e868d-4bf3-44a6-b8d4-708f9a679606 + 163281f3-4fdd-4ec9-89f5-d9ea2684d152 + aab83e7e-03d3-46f1-8567-daf390ccafe4 + d9dc4818-8226-43f0-826b-743fe4bf5353 + 0ffd18d8-99db-40a1-81a8-50617de9a6c3 + e492ffd1-044a-40ee-b734-c2796609a1e2 + 284185cb-9b1b-44c4-9a94-6a846b6478b6 + 66cd6f40-485a-4239-8096-f910fb72f4bc + 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b + d732c384-05f7-4045-8076-3bfea40ab057 + 92a625da-b995-4055-bc08-7cd011bcb0ba + c1950f77-cc1d-4a94-8226-38115fad3527 + 26 + b90c5c4a-28e8-406c-a48b-1e18f7e84271 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5c9bc050-34d7-4f48-9eb5-d2a900577182 + dc7cd620-40ec-4bbf-8777-36e3f82bb67d + f17fb7c5-c44a-431d-ba75-8edebac41101 + 136cd97b-9deb-4449-b884-bf54a4c926d4 + 9c4631ba-85e3-4b26-a0ed-ae48be61a573 + 25187908-b9ee-4eb4-8acb-6dab9ed5e5e2 + 91acf8ab-b95d-4cf9-9042-41f5397d7e87 + 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 + 62749b59-00b6-4050-8ac2-91ff2975c226 + 76b87ec4-3a97-42c3-8992-13acf6acf45f + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + e41d43db-4027-4b96-aff2-6b3977deeff6 + 57c81212-acf4-4901-86dd-71ef3e46c60d + 3aa9dd9c-e16a-46f7-8b96-6321eb6a7afc + 92a625da-b995-4055-bc08-7cd011bcb0ba + c815fdd0-2496-4b83-b382-bc3c6f6a4b8b + 16 + e5df8b8a-ee10-4243-b023-04465e1fd03a + Group + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + 5c9bc050-34d7-4f48-9eb5-d2a900577182 + true + Divide Curve + Divide Curve + + + + + + 2740 + 5529 + 125 + 64 + + + 2790 + 5561 + + + + + + Curve to divide + 2f24b97e-99f8-443a-9082-19c1f91d8d3f + true + Curve + Curve + false + ba58928d-5703-4a2a-8fde-736407679f3d + 1 + + + + + + 2742 + 5531 + 33 + 20 + + + 2760 + 5541 + + + + + + + + Number of segments + 35f75e33-d5f6-4e6e-b9cf-1bfa3b8bb635 + true + Count + Count + false + 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b + 1 + + + + + + 2742 + 5551 + 33 + 20 + + + 2760 + 5561 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + 87560cf5-edc9-4964-b195-b4f3d1dd8581 + true + Kinks + Kinks + false + 0 + + + + + + 2742 + 5571 + 33 + 20 + + + 2760 + 5581 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + true + Points + Points + false + 0 + + + + + + 2805 + 5531 + 58 + 20 + + + 2835.5 + 5541 + + + + + + + + 1 + Tangent vectors at division points + 7a369f73-a46f-44bb-935a-990a674e70dc + true + Tangents + Tangents + false + 0 + + + + + + 2805 + 5551 + 58 + 20 + + + 2835.5 + 5561 + + + + + + + + 1 + Parameter values at division points + b1597b58-9c8c-420f-bec1-50f6c1f5b5a1 + true + Parameters + Parameters + false + 0 + + + + + + 2805 + 5571 + 58 + 20 + + + 2835.5 + 5581 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + dc7cd620-40ec-4bbf-8777-36e3f82bb67d + true + Line SDL + Line SDL + + + + + + 2750 + 5612 + 106 + 64 + + + 2814 + 5644 + + + + + + Line start point + d958b718-e348-4709-aa78-fe7498a8766c + true + Start + Start + false + 0 + + + + + + 2752 + 5614 + 47 + 20 + + + 2777 + 5624 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 8b52cc88-fbae-4974-afe9-a673b442bd74 + true + Direction + Direction + false + 0 + + + + + + 2752 + 5634 + 47 + 20 + + + 2777 + 5644 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Line length + 7114e2f7-7cc2-4d94-a5e4-ce6dc55624c4 + true + Length + Length + false + 0 + + + + + + 2752 + 5654 + 47 + 20 + + + 2777 + 5664 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + ba58928d-5703-4a2a-8fde-736407679f3d + true + Line + Line + false + 0 + + + + + + 2829 + 5614 + 25 + 60 + + + 2843 + 5644 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + f17fb7c5-c44a-431d-ba75-8edebac41101 + true + Line SDL + Line SDL + + + + + + 2750 + 5341 + 106 + 64 + + + 2814 + 5373 + + + + + + Line start point + eee0d4c1-93a0-442f-9fc5-d81d6dfd5aae + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2752 + 5343 + 47 + 20 + + + 2777 + 5353 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + ac30e536-d7a6-4642-8b04-31576a917a18 + true + Direction + Direction + false + 0 + + + + + + 2752 + 5363 + 47 + 20 + + + 2777 + 5373 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 8fab40a7-83b7-48c4-b1ba-e1dfbc420d51 + true + Length + Length + false + 2da9ba30-40f8-4e2e-9ad5-a1bb181bc6aa + 1 + + + + + + 2752 + 5383 + 47 + 20 + + + 2777 + 5393 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 6bb582bf-fb0d-4475-bd64-5159a23801fe + true + Line + Line + false + 0 + + + + + + 2829 + 5343 + 25 + 60 + + + 2843 + 5373 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 9c4631ba-85e3-4b26-a0ed-ae48be61a573 + true + Multiplication + Multiplication + + + + + + 2762 + 5466 + 82 + 44 + + + 2793 + 5488 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 3995eb05-caa2-438a-a9d9-c18e8358c01c + true + A + A + true + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + 1 + + + + + + 2764 + 5468 + 14 + 20 + + + 2772.5 + 5478 + + + + + + + + Second item for multiplication + 44a0505e-9be8-4f10-bbcb-6f5e50704123 + true + B + B + true + c815fdd0-2496-4b83-b382-bc3c6f6a4b8b + 1 + + + + + + 2764 + 5488 + 14 + 20 + + + 2772.5 + 5498 + + + + + + + + Result of multiplication + 2da9ba30-40f8-4e2e-9ad5-a1bb181bc6aa + true + Result + Result + false + 0 + + + + + + 2808 + 5468 + 34 + 40 + + + 2826.5 + 5488 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 + true + Expression + Expression + + + + + + 2706 + 6180 + 194 + 28 + + + 2806 + 6194 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 253e074d-ddc9-4419-9a24-0a26722444e0 + true + Variable O + O + true + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + 1 + + + + + + 2708 + 6182 + 14 + 24 + + + 2716.5 + 6194 + + + + + + + + Result of expression + 2ce7b1d9-752c-4298-ae7a-ed9c0d830e16 + true + Result + + false + 0 + + + + + + 2889 + 6182 + 9 + 24 + + + 2895 + 6194 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 62749b59-00b6-4050-8ac2-91ff2975c226 + true + Panel + + false + 1 + 2ce7b1d9-752c-4298-ae7a-ed9c0d830e16 + 1 + Double click to edit panel content… + + + + + + 2696 + 5899 + 214 + 271 + + 0 + 0 + 0 + + 2696.397 + 5899.743 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 76b87ec4-3a97-42c3-8992-13acf6acf45f + true + Relay + + false + 62749b59-00b6-4050-8ac2-91ff2975c226 + 1 + + + + + + 2783 + 5864 + 40 + 16 + + + 2803 + 5872 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + true + Relay + + false + d9dc4818-8226-43f0-826b-743fe4bf5353 + 1 + + + + + + 2783 + 6227 + 40 + 16 + + + 2803 + 6235 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 15ec7ce5-825a-431f-a0f1-71f858eeb9f6 + 62749b59-00b6-4050-8ac2-91ff2975c226 + 76b87ec4-3a97-42c3-8992-13acf6acf45f + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + 4 + e41d43db-4027-4b96-aff2-6b3977deeff6 + Group + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 57c81212-acf4-4901-86dd-71ef3e46c60d + true + Quick Graph + Quick Graph + false + 0 + 3eef801e-d75b-4ffb-acb0-c36dec045e51 + 1 + + + + + + 2728 + 5697 + 150 + 150 + + + 2728.496 + 5697.921 + + 0 + + + + + + + + + aaa665bd-fd6e-4ccb-8d2c-c5b33072125d + Curvature + + + + + Evaluate the curvature of a curve at a specified parameter. + true + 6544fcf4-de8d-4376-8953-865024da35a3 + true + Curvature + Curvature + + + + + + 2734 + 7033 + 137 + 64 + + + 2804 + 7065 + + + + + + Curve to evaluate + 33d173a0-8437-48af-8f44-804ef32ab2e1 + true + Curve + Curve + false + 006e868d-4bf3-44a6-b8d4-708f9a679606 + 1 + + + + + + 2736 + 7035 + 53 + 30 + + + 2764 + 7050 + + + + + + + + Parameter on curve domain to evaluate + 2dc7ebde-f021-4d43-858a-f7f5ad2f6afe + true + Parameter + Parameter + false + 9bebf09e-b007-45c5-b78a-b561aa38667f + 1 + + + + + + 2736 + 7065 + 53 + 30 + + + 2764 + 7080 + + + + + + + + Point on curve at {t} + 2d289b88-800e-4156-a6b1-c7434ad82dc7 + true + Point + Point + false + 0 + + + + + + 2819 + 7035 + 50 + 20 + + + 2845.5 + 7045 + + + + + + + + Curvature vector at {t} + 1a1dda0d-bbdd-40d9-90c1-6c9f0757da7a + true + Curvature + Curvature + false + 0 + + + + + + 2819 + 7055 + 50 + 20 + + + 2845.5 + 7065 + + + + + + + + Curvature circle at {t} + 1e82bf09-1919-4f7a-88f8-6effdeb1461d + true + Curvature + Curvature + false + 0 + + + + + + 2819 + 7075 + 50 + 20 + + + 2845.5 + 7085 + + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + a1095b3a-a75d-4dfe-874e-c9513ed7d845 + true + Divide Curve + Divide Curve + + + + + + 2740 + 7116 + 125 + 64 + + + 2790 + 7148 + + + + + + Curve to divide + f2cb91dd-ffcf-4a87-8292-93a0b86821c1 + true + Curve + Curve + false + 006e868d-4bf3-44a6-b8d4-708f9a679606 + 1 + + + + + + 2742 + 7118 + 33 + 20 + + + 2760 + 7128 + + + + + + + + Number of segments + 98448139-6838-4cea-895a-19ef1e5ddb9a + true + Count + Count + false + 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b + 1 + + + + + + 2742 + 7138 + 33 + 20 + + + 2760 + 7148 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + f33c48c8-66c6-41e8-8815-5480fd688987 + true + Kinks + Kinks + false + 0 + + + + + + 2742 + 7158 + 33 + 20 + + + 2760 + 7168 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + 362990c6-70f5-4e45-80e3-6e3b5820d61c + true + Points + Points + false + 0 + + + + + + 2805 + 7118 + 58 + 20 + + + 2835.5 + 7128 + + + + + + + + 1 + Tangent vectors at division points + c03522f8-2bfc-4536-b892-e10a78a9b6b9 + true + Tangents + Tangents + false + 0 + + + + + + 2805 + 7138 + 58 + 20 + + + 2835.5 + 7148 + + + + + + + + 1 + Parameter values at division points + 9bebf09e-b007-45c5-b78a-b561aa38667f + true + Parameters + Parameters + false + 0 + + + + + + 2805 + 7158 + 58 + 20 + + + 2835.5 + 7168 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 006e868d-4bf3-44a6-b8d4-708f9a679606 + true + 2 + Curve + Curve + false + a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 + 1 + + + + + + 2777 + 7252 + 53 + 24 + + + 2813.437 + 7264.059 + + + + + + + + + + 23862862-049a-40be-b558-2418aacbd916 + Deconstruct Arc + + + + + Retrieve the base plane, radius and angle domain of an arc. + true + 163281f3-4fdd-4ec9-89f5-d9ea2684d152 + true + Deconstruct Arc + Deconstruct Arc + + + + + + 2746 + 6952 + 114 + 64 + + + 2786 + 6984 + + + + + + Arc or Circle to deconstruct + 1e500955-6ff2-4638-a014-022cb896ebeb + true + Arc + Arc + false + 1e82bf09-1919-4f7a-88f8-6effdeb1461d + 1 + + + + + + 2748 + 6954 + 23 + 60 + + + 2761 + 6984 + + + + + + + + Base plane of arc or circle + ce07b596-b533-42b3-a650-9f00f7be13dc + true + Base Plane + Base Plane + false + 0 + + + + + + 2801 + 6954 + 57 + 20 + + + 2831 + 6964 + + + + + + + + Radius of arc or circle + 54837649-9551-4c51-b610-ce1c1a7990a3 + true + Radius + Radius + false + 0 + + + + + + 2801 + 6974 + 57 + 20 + + + 2831 + 6984 + + + + + + + + Angle domain (in radians) of arc + f6ce21ce-f13b-487e-b0a5-493bf815810f + true + Angle + Angle + false + 0 + + + + + + 2801 + 6994 + 57 + 20 + + + 2831 + 7004 + + + + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + aab83e7e-03d3-46f1-8567-daf390ccafe4 + true + One Over X + One Over X + + + + + + 2753 + 6288 + 100 + 28 + + + 2802 + 6302 + + + + + + Input value + 6c7c8189-b6b5-4c14-ba98-3f1237843ba4 + true + Value + Value + false + 66cd6f40-485a-4239-8096-f910fb72f4bc + 1 + + + + + + 2755 + 6290 + 32 + 24 + + + 2772.5 + 6302 + + + + + + + + Output value + 1218fc6b-1c29-44f8-a3a8-c2e396524fa3 + true + Result + Result + false + 0 + + + + + + 2817 + 6290 + 34 + 24 + + + 2835.5 + 6302 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d9dc4818-8226-43f0-826b-743fe4bf5353 + true + Relay + + false + 1218fc6b-1c29-44f8-a3a8-c2e396524fa3 + 1 + + + + + + 2783 + 6259 + 40 + 16 + + + 2803 + 6267 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0ffd18d8-99db-40a1-81a8-50617de9a6c3 + true + Expression + Expression + + + + + + 2706 + 6865 + 194 + 28 + + + 2806 + 6879 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 5bbe1694-ae4e-4af7-b5d0-0e814d1bd025 + true + Variable O + O + true + 66cd6f40-485a-4239-8096-f910fb72f4bc + 1 + + + + + + 2708 + 6867 + 14 + 24 + + + 2716.5 + 6879 + + + + + + + + Result of expression + aa5c7f71-4773-436c-9465-eb6cfe47daee + true + Result + + false + 0 + + + + + + 2889 + 6867 + 9 + 24 + + + 2895 + 6879 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e492ffd1-044a-40ee-b734-c2796609a1e2 + true + Panel + + false + 1 + aa5c7f71-4773-436c-9465-eb6cfe47daee + 1 + Double click to edit panel content… + + + + + + 2711 + 6575 + 185 + 271 + + 0 + 0 + 0 + + 2711.033 + 6575.335 + + + + + + + 255;255;255;255 + + true + true + true + false + false + false + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 284185cb-9b1b-44c4-9a94-6a846b6478b6 + true + Relay + + false + e492ffd1-044a-40ee-b734-c2796609a1e2 + 1 + + + + + + 2783 + 6537 + 40 + 16 + + + 2803 + 6545 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 66cd6f40-485a-4239-8096-f910fb72f4bc + true + Relay + + false + 54837649-9551-4c51-b610-ce1c1a7990a3 + 1 + + + + + + 2783 + 6919 + 40 + 16 + + + 2803 + 6927 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 9c99ab36-da42-439f-9db6-e4a7ecd0dc5b + true + Number + Number + false + 96971adb-dc6f-4220-b87f-875d4c7c2611 + 1 + + + + + + 2778 + 7208 + 50 + 24 + + + 2803.937 + 7220.646 + + + + + + 1 + + + + + 1 + {0} + + + + + 1024 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d732c384-05f7-4045-8076-3bfea40ab057 + true + Curve + Curve + false + 6bb582bf-fb0d-4475-bd64-5159a23801fe + 1 + + + + + + 2778 + 5287 + 50 + 24 + + + 2803.368 + 5299.088 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d732c384-05f7-4045-8076-3bfea40ab057 + 1 + 92a625da-b995-4055-bc08-7cd011bcb0ba + Group + Curve + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + c815fdd0-2496-4b83-b382-bc3c6f6a4b8b + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 3 + + 0.068900000 + + + + + + 2678 + 5428 + 250 + 20 + + + 2678.177 + 5428.286 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 059a3e69-9d54-4680-897c-cdf195bad7a8 + true + Move + Move + + + + + + 2734 + 4860 + 138 + 44 + + + 2802 + 4882 + + + + + + Base geometry + 14e44962-2dfd-440d-82ec-807ce03623f2 + true + Geometry + Geometry + true + d732c384-05f7-4045-8076-3bfea40ab057 + 1 + + + + + + 2736 + 4862 + 51 + 20 + + + 2763 + 4872 + + + + + + + + Translation vector + 516286a3-d79c-4f44-b66a-629a6ff682ae + true + Motion + Motion + false + 0f9f7808-7869-4325-ad0a-d2198a518e33 + 1 + + + + + + 2736 + 4882 + 51 + 20 + + + 2763 + 4892 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 1a211dc6-9d12-4255-9f70-29dc0d975fda + true + Geometry + Geometry + false + 0 + + + + + + 2817 + 4862 + 53 + 20 + + + 2845 + 4872 + + + + + + + + Transformation data + a43be0c8-66f6-44cc-8f23-aaf95264f9aa + true + Transform + Transform + false + 0 + + + + + + 2817 + 4882 + 53 + 20 + + + 2845 + 4892 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 298b80f0-dd2c-448e-bfd4-8abbb2f321ff + true + Vector XYZ + Vector XYZ + + + + + + 2731 + 4922 + 155 + 64 + + + 2832 + 4954 + + + + + + Vector {x} component + 7cd953af-b064-4de0-a309-70d40bca17c0 + -X + true + X component + X component + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2733 + 4924 + 84 + 20 + + + 2784.5 + 4934 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + 4cfa8292-ee09-4b96-b0ae-fb6cee43c9ea + true + Y component + Y component + false + 0 + + + + + + 2733 + 4944 + 84 + 20 + + + 2784.5 + 4954 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector {z} component + 62e295ea-6f33-41f0-a0db-7aa786377b06 + true + Z component + Z component + false + 0 + + + + + + 2733 + 4964 + 84 + 20 + + + 2784.5 + 4974 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 0f9f7808-7869-4325-ad0a-d2198a518e33 + true + Vector + Vector + false + 0 + + + + + + 2847 + 4924 + 37 + 30 + + + 2867 + 4939 + + + + + + + + Vector length + b502d75b-da03-4ea8-b2d9-378c3d5e63f8 + true + Length + Length + false + 0 + + + + + + 2847 + 4954 + 37 + 30 + + + 2867 + 4969 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 7fce1877-7d49-42f2-9d77-f20f971a3c8d + true + Series + Series + + + + + + 2744 + 5006 + 117 + 64 + + + 2794 + 5038 + + + + + + First number in the series + e5962598-e389-423c-a85a-1e3c32fc81d7 + true + Start + Start + false + 0 + + + + + + 2746 + 5008 + 33 + 20 + + + 2764 + 5018 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + 931739e6-075e-4fad-9b6c-531639272855 + true + Step + Step + false + 0 + + + + + + 2746 + 5028 + 33 + 20 + + + 2764 + 5038 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + d0353cba-1801-49d1-970d-a37da19a53d6 + true + Count + Count + false + 3500c3b9-cff8-4242-841b-b21739eb2ce5 + 1 + + + + + + 2746 + 5048 + 33 + 20 + + + 2764 + 5058 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + e987d189-a3ef-46bd-bffd-d627e83d8e15 + true + 2 + Series + Series + false + 0 + + + + + + 2809 + 5008 + 50 + 60 + + + 2827.5 + 5038 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + true + be575d1d-b0b0-4169-9453-f139fa5a69fc + true + List Length + List Length + + + + + + 2748 + 5189 + 109 + 28 + + + 2787 + 5203 + + + + + + 1 + Base list + 62df7b1c-1f20-4713-86f1-5953c8e31639 + true + List + List + false + 006e868d-4bf3-44a6-b8d4-708f9a679606 + 1 + + + + + + 2750 + 5191 + 22 + 24 + + + 2762.5 + 5203 + + + + + + + + Number of items in L + 0d9d676a-f6a5-493c-bf53-6fccdfd6d2e8 + true + 1 + Length + Length + false + 0 + + + + + + 2802 + 5191 + 53 + 24 + + + 2822 + 5203 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3500c3b9-cff8-4242-841b-b21739eb2ce5 + true + Panel + + false + 0 + 804204b5-0b21-42bc-a33b-bf59830956f2 + 1 + Double click to edit panel content… + + + + + + 2768 + 5089 + 50 + 20 + + 0 + 0 + 0 + + 2768.119 + 5089.574 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 5b850221-b527-4bd6-8c62-e94168cd6efa + Mass Addition + + + + + Perform mass addition of a list of items + true + 6bf311af-c478-40b6-8287-b57e5ebd2de6 + true + Mass Addition + Mass Addition + + + + + + 2735 + 5127 + 135 + 44 + + + 2782 + 5149 + + + + + + 1 + Input values for mass addition. + e96db67d-f3fe-4b8a-a1b7-ed5f8f51b2c3 + true + Input + Input + false + 0d9d676a-f6a5-493c-bf53-6fccdfd6d2e8 + 1 + + + + + + 2737 + 5129 + 30 + 40 + + + 2753.5 + 5149 + + + + + + + + Result of mass addition + 804204b5-0b21-42bc-a33b-bf59830956f2 + true + Result + Result + false + 0 + + + + + + 2797 + 5129 + 71 + 20 + + + 2834 + 5139 + + + + + + + + 1 + List of partial results + dadbd113-cd60-4519-aab0-471e3119d138 + true + Partial Results + Partial Results + false + 0 + + + + + + 2797 + 5149 + 71 + 20 + + + 2834 + 5159 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 059a3e69-9d54-4680-897c-cdf195bad7a8 + 298b80f0-dd2c-448e-bfd4-8abbb2f321ff + 7fce1877-7d49-42f2-9d77-f20f971a3c8d + be575d1d-b0b0-4169-9453-f139fa5a69fc + 3500c3b9-cff8-4242-841b-b21739eb2ce5 + 6bf311af-c478-40b6-8287-b57e5ebd2de6 + b29ac3e2-b858-44d8-acce-0fb154f6a64a + 28b8e0ed-0e44-4505-b866-bab948ef8584 + 50d6ea62-1933-4585-80ec-e31ffe7454f9 + 0a876c89-ef58-450e-ae46-5d661fc98802 + a8c2d2b8-7793-472a-add0-5c6add577a3e + 11 + 19e6ba9f-ea5b-4adf-a53c-e38f7d1c7c24 + Group + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + c1950f77-cc1d-4a94-8226-38115fad3527 + true + Quick Graph + Quick Graph + false + 0 + 66cd6f40-485a-4239-8096-f910fb72f4bc + 1 + + + + + + 2728 + 6370 + 150 + 150 + + + 2728.338 + 6370.525 + + 0 + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 5202e00c-44d2-4c14-a5b6-ef33c742b491 + true + Line SDL + Line SDL + + + + + + 2751 + 3206 + 106 + 64 + + + 2815 + 3238 + + + + + + Line start point + 73576ba2-60f2-4199-85a0-b4261085e773 + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2753 + 3208 + 47 + 20 + + + 2778 + 3218 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 789af781-e97d-4b8b-9f99-6237ec423f84 + true + Direction + Direction + false + 0 + + + + + + 2753 + 3228 + 47 + 20 + + + 2778 + 3238 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 517f58ad-11b5-49db-8e72-28cd683f268a + true + Length + Length + false + bc6ae7be-b2f7-495b-8309-85181ce50925 + 1 + + + + + + 2753 + 3248 + 47 + 20 + + + 2778 + 3258 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 589f826a-73e0-4e35-b5a6-2051359d273a + true + Line + Line + false + 0 + + + + + + 2830 + 3208 + 25 + 60 + + + 2844 + 3238 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + a72d5419-fd91-41c5-b117-b1511799de43 + true + Expression + Expression + + + + + + 2706 + 3851 + 194 + 28 + + + 2806 + 3865 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + fa6931b6-c67f-4ed7-8fbd-87514531ddfe + true + Variable O + O + true + f1e198ee-8c72-43b0-bdfb-8896635b9001 + 1 + + + + + + 2708 + 3853 + 14 + 24 + + + 2716.5 + 3865 + + + + + + + + Result of expression + a73d77b0-5abb-417c-b1b1-5bfacb79d7fd + true + Result + + false + 0 + + + + + + 2889 + 3853 + 9 + 24 + + + 2895 + 3865 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6799a162-9bf6-4690-8e87-a1f7b11fc186 + true + Panel + + false + 0.75034273974597454 + a73d77b0-5abb-417c-b1b1-5bfacb79d7fd + 1 + Double click to edit panel content… + + + + + + 2696 + 3572 + 214 + 271 + + 0 + 0 + 0 + + 2696.37 + 3572.744 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3dd22ce8-293a-4588-a9e5-2f0539214a5c + true + Relay + + false + 6799a162-9bf6-4690-8e87-a1f7b11fc186 + 1 + + + + + + 2783 + 3535 + 40 + 16 + + + 2803 + 3543 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f1e198ee-8c72-43b0-bdfb-8896635b9001 + true + Relay + + false + 922f54da-9ad1-4ce8-9fc7-6c168ad6d1ab + 1 + + + + + + 2783 + 3898 + 40 + 16 + + + 2803 + 3906 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 749872a2-7981-49cb-a7d8-7f6b73442974 + true + Quick Graph + Quick Graph + false + 0 + f1e198ee-8c72-43b0-bdfb-8896635b9001 + 1 + + + + + + 2728 + 3370 + 150 + 150 + + + 2728.469 + 3370.921 + + 0 + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3bad1a66-165a-405e-94ae-9c7c448ecc44 + true + Relay + + false + 1218fc6b-1c29-44f8-a3a8-c2e396524fa3 + 1 + + + + + + 2783 + 4177 + 40 + 16 + + + 2803 + 4185 + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 41b1f9fe-b540-498e-b66d-f9a253c44c97 + true + Relative Differences + Relative Differences + + + + + + 2739 + 4011 + 128 + 28 + + + 2792 + 4025 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 83e171e6-8026-41d3-9b9a-04c48e91b757 + true + Values + Values + false + fc90f942-eb44-4171-8b95-2c2a1d282bfc + 1 + + + + + + 2741 + 4013 + 36 + 24 + + + 2760.5 + 4025 + + + + + + + + 1 + Differences between consecutive items + 41859e78-5ecd-4eaf-9046-5daab3c22ed7 + true + Differenced + Differenced + false + 0 + + + + + + 2807 + 4013 + 58 + 24 + + + 2837.5 + 4025 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 922f54da-9ad1-4ce8-9fc7-6c168ad6d1ab + true + Relay + + false + 41859e78-5ecd-4eaf-9046-5daab3c22ed7 + 1 + + + + + + 2783 + 3977 + 40 + 16 + + + 2803 + 3985 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 + true + Relay + + false + 3bad1a66-165a-405e-94ae-9c7c448ecc44 + 1 + + + + + + 2783 + 4118 + 40 + 16 + + + 2803 + 4126 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 922f54da-9ad1-4ce8-9fc7-6c168ad6d1ab + 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 + 41b1f9fe-b540-498e-b66d-f9a253c44c97 + 401a4ec7-acb1-4812-b841-5ff8cafa66b1 + 4 + 64e05c4c-ae81-4d56-92b8-0d683e6178f7 + Group + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 401a4ec7-acb1-4812-b841-5ff8cafa66b1 + true + Replace Nulls + Replace Nulls + + + + + + 2735 + 4056 + 136 + 44 + + + 2821 + 4078 + + + + + + 1 + Items to test for null + 008d496f-cfcd-4e98-87a1-e7de0148c944 + true + Items + Items + false + 4a5d464e-710f-4246-b9cf-f6d5b47cf6a1 + 1 + + + + + + 2737 + 4058 + 69 + 20 + + + 2773 + 4068 + + + + + + + + 1 + Items to replace nulls with + 65f6ffb7-2d70-44a6-a76f-1b8cb5988027 + true + Replacements + Replacements + false + 0 + + + + + + 2737 + 4078 + 69 + 20 + + + 2773 + 4088 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + fc90f942-eb44-4171-8b95-2c2a1d282bfc + true + Items + Items + false + 0 + + + + + + 2836 + 4058 + 33 + 20 + + + 2854 + 4068 + + + + + + + + Number of items replaced + 97321661-04ba-4c03-92bb-cbf26ad904bb + true + Count + Count + false + 0 + + + + + + 2836 + 4078 + 33 + 20 + + + 2854 + 4088 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + f6e745a8-7fe5-4039-af6b-f624d2e49c50 + true + Multiplication + Multiplication + + + + + + 2762 + 3307 + 82 + 44 + + + 2793 + 3329 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 50da1217-a2c7-48ef-8ac1-27862b7a31af + true + A + A + true + f1e198ee-8c72-43b0-bdfb-8896635b9001 + 1 + + + + + + 2764 + 3309 + 14 + 20 + + + 2772.5 + 3319 + + + + + + + + Second item for multiplication + 0f99ba1b-48e7-47a4-8313-07539c0f8265 + true + B + B + true + 78dab7dd-d7e2-426b-bb90-b547c8224cb4 + 1 + + + + + + 2764 + 3329 + 14 + 20 + + + 2772.5 + 3339 + + + + + + + + Result of multiplication + bc6ae7be-b2f7-495b-8309-85181ce50925 + true + Result + Result + false + 0 + + + + + + 2808 + 3309 + 34 + 40 + + + 2826.5 + 3329 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 78dab7dd-d7e2-426b-bb90-b547c8224cb4 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 3 + + 4.392015000 + + + + + + 2681 + 3287 + 250 + 20 + + + 2681.462 + 3287.034 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + c106ea49-3d33-4ec1-9439-7a451df09432 + true + Move + Move + + + + + + 2734 + 3027 + 138 + 44 + + + 2802 + 3049 + + + + + + Base geometry + 03f50bc9-cdd3-4a9e-bf72-f9e5a13824fd + true + Geometry + Geometry + true + 589f826a-73e0-4e35-b5a6-2051359d273a + 1 + + + + + + 2736 + 3029 + 51 + 20 + + + 2763 + 3039 + + + + + + + + Translation vector + 27e55aae-32fb-4931-9e33-8276f3143253 + true + Motion + Motion + false + 235ef89b-113b-4adb-8da2-d51550e4eacb + 1 + + + + + + 2736 + 3049 + 51 + 20 + + + 2763 + 3059 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 05694d97-021c-4a49-a1f3-e45b41b569e0 + true + Geometry + Geometry + false + 0 + + + + + + 2817 + 3029 + 53 + 20 + + + 2845 + 3039 + + + + + + + + Transformation data + d7c70fda-d3b4-4f52-8188-82500b831732 + true + Transform + Transform + false + 0 + + + + + + 2817 + 3049 + 53 + 20 + + + 2845 + 3059 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + ff3f4af7-3769-4434-b59a-235ecf1d678c + true + Vector XYZ + Vector XYZ + + + + + + 2720 + 3090 + 155 + 64 + + + 2821 + 3122 + + + + + + Vector {x} component + 5dda6578-81e3-4d08-a192-99efa4ef0918 + -X + true + X component + X component + false + d8b69669-a2bd-4187-9589-204f3dbe274a + 1 + + + + + + 2722 + 3092 + 84 + 20 + + + 2773.5 + 3102 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + 51b8acc0-3713-4503-859f-00e28bbe1d12 + true + Y component + Y component + false + 0 + + + + + + 2722 + 3112 + 84 + 20 + + + 2773.5 + 3122 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Vector {z} component + 27131421-4d00-4a7e-acc4-6b6b401840d1 + true + Z component + Z component + false + 0 + + + + + + 2722 + 3132 + 84 + 20 + + + 2773.5 + 3142 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 235ef89b-113b-4adb-8da2-d51550e4eacb + true + Vector + Vector + false + 0 + + + + + + 2836 + 3092 + 37 + 30 + + + 2856 + 3107 + + + + + + + + Vector length + eadaa5c9-b315-4cc0-883c-86b5919ef135 + true + Length + Length + false + 0 + + + + + + 2836 + 3122 + 37 + 30 + + + 2856 + 3137 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 19794563-a66c-483d-a5a7-3a141a317442 + true + Line SDL + Line SDL + + + + + + 2750 + 1297 + 106 + 64 + + + 2814 + 1329 + + + + + + Line start point + 579116b0-0e3a-4726-acaa-4eaf385cfbb8 + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2752 + 1299 + 47 + 20 + + + 2777 + 1309 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + d11cdf99-4df2-41e0-84cc-a41742432cef + true + Direction + Direction + false + 0 + + + + + + 2752 + 1319 + 47 + 20 + + + 2777 + 1329 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 052c1243-cfed-4a87-84bf-3af3cfd8de0f + true + Length + Length + false + 04002786-e0c2-482a-a5b0-087deb210247 + 1 + + + + + + 2752 + 1339 + 47 + 20 + + + 2777 + 1349 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + d8f86e25-327f-4bb8-b47a-52eb276b1670 + true + Line + Line + false + 0 + + + + + + 2829 + 1299 + 25 + 60 + + + 2843 + 1329 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e791fbc6-af59-4ad4-b7b9-bf23b2eb991d + true + Expression + Expression + + + + + + 2706 + 2041 + 194 + 28 + + + 2806 + 2055 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 277497d4-3cc9-4675-9df2-1bdad4551e7b + true + Variable O + O + true + 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 + 1 + + + + + + 2708 + 2043 + 14 + 24 + + + 2716.5 + 2055 + + + + + + + + Result of expression + 7a91e35e-fe42-4292-81a3-bab62edacffc + true + Result + + false + 0 + + + + + + 2889 + 2043 + 9 + 24 + + + 2895 + 2055 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8106a0ef-ccc6-40de-94b5-a8fc0651ea3a + true + Panel + + false + 1 + 7a91e35e-fe42-4292-81a3-bab62edacffc + 1 + Double click to edit panel content… + + + + + + 2696 + 1764 + 214 + 271 + + 0 + 0 + 0 + + 2696.01 + 1764.322 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c4b05861-4dcc-4fa6-9a55-cd2ef09186a2 + true + Relay + + false + 8106a0ef-ccc6-40de-94b5-a8fc0651ea3a + 1 + + + + + + 2783 + 1728 + 40 + 16 + + + 2803 + 1736 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 + true + Relay + + false + ac291d1c-68db-4960-a7e7-5db523fe6c22 + 1 + + + + + + 2783 + 2088 + 40 + 16 + + + 2803 + 2096 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 67a350fe-d446-4487-9291-6bee5215236f + true + Quick Graph + Quick Graph + false + 0 + 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 + 1 + + + + + + 2728 + 1562 + 150 + 150 + + + 2728.11 + 1562.499 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + e6ebbaf0-0ce2-416a-9da6-4b087003b097 + true + Relative Differences + Relative Differences + + + + + + 2739 + 2201 + 128 + 28 + + + 2792 + 2215 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 78d2cb1e-3351-4a2b-9058-87a3e892866b + true + Values + Values + false + f82f722b-e058-4539-9262-05fb080d34b6 + 1 + + + + + + 2741 + 2203 + 36 + 24 + + + 2760.5 + 2215 + + + + + + + + 1 + Differences between consecutive items + 89077281-b492-48e9-a85e-54f1b18d13e1 + true + Differenced + Differenced + false + 0 + + + + + + 2807 + 2203 + 58 + 24 + + + 2837.5 + 2215 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + ac291d1c-68db-4960-a7e7-5db523fe6c22 + true + Relay + + false + 89077281-b492-48e9-a85e-54f1b18d13e1 + 1 + + + + + + 2783 + 2167 + 40 + 16 + + + 2803 + 2175 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + bba4be05-dbbc-41aa-b8fc-0b9c012ff2e1 + true + Relay + + false + 931f5277-2c60-43e1-83f4-396ccd594a3a + 1 + + + + + + 2783 + 2308 + 40 + 16 + + + 2803 + 2316 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 18d36f48-a4e9-48f8-a2d1-bab088228a1c + true + Replace Nulls + Replace Nulls + + + + + + 2735 + 2246 + 136 + 44 + + + 2821 + 2268 + + + + + + 1 + Items to test for null + 486e1cf2-b307-4115-a700-c1b678a5423b + true + Items + Items + false + bba4be05-dbbc-41aa-b8fc-0b9c012ff2e1 + 1 + + + + + + 2737 + 2248 + 69 + 20 + + + 2773 + 2258 + + + + + + + + 1 + Items to replace nulls with + b4803253-ebb4-4f65-aa55-ef46e0615c40 + true + Replacements + Replacements + false + 0 + + + + + + 2737 + 2268 + 69 + 20 + + + 2773 + 2278 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + f82f722b-e058-4539-9262-05fb080d34b6 + true + Items + Items + false + 0 + + + + + + 2836 + 2248 + 33 + 20 + + + 2854 + 2258 + + + + + + + + Number of items replaced + 67596dde-04c0-445e-9f73-d5c3a5d8ac8c + true + Count + Count + false + 0 + + + + + + 2836 + 2268 + 33 + 20 + + + 2854 + 2278 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 6fce7b17-02a7-4fe3-b8c9-47d13b69247f + true + Multiplication + Multiplication + + + + + + 2762 + 1414 + 82 + 44 + + + 2793 + 1436 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + edc9e8c0-0a99-450e-ab3f-dd67ef6b135a + true + A + A + true + 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 + 1 + + + + + + 2764 + 1416 + 14 + 20 + + + 2772.5 + 1426 + + + + + + + + Second item for multiplication + 2a560f7c-5209-4e8c-a57a-db57f1802b79 + true + B + B + true + e560636d-e6f0-4cec-9254-b1218b844a79 + 1 + + + + + + 2764 + 1436 + 14 + 20 + + + 2772.5 + 1446 + + + + + + + + Result of multiplication + 04002786-e0c2-482a-a5b0-087deb210247 + true + Result + Result + false + 0 + + + + + + 2808 + 1416 + 34 + 40 + + + 2826.5 + 1436 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + e560636d-e6f0-4cec-9254-b1218b844a79 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 4 + + 281.08106675 + + + + + + 2678 + 1377 + 250 + 20 + + + 2678.09 + 1377.532 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 29a022c6-b2ea-4f5b-8024-18d708b5bbd8 + true + Move + Move + + + + + + 2734 + 1134 + 138 + 44 + + + 2802 + 1156 + + + + + + Base geometry + 7eda48ca-557a-43a2-91ab-7f55538e5e6b + true + Geometry + Geometry + true + d8f86e25-327f-4bb8-b47a-52eb276b1670 + 1 + + + + + + 2736 + 1136 + 51 + 20 + + + 2763 + 1146 + + + + + + + + Translation vector + b649e3c1-aa59-4773-95ae-5a48561f84c8 + true + Motion + Motion + false + d4dd9a2b-a6ba-4935-8c80-8821e6625ee6 + 1 + + + + + + 2736 + 1156 + 51 + 20 + + + 2763 + 1166 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 5c55b193-0023-4ff8-875f-0339cdcf9c91 + true + Geometry + Geometry + false + 0 + + + + + + 2817 + 1136 + 53 + 20 + + + 2845 + 1146 + + + + + + + + Transformation data + 90a73c6e-4868-4058-8cd1-2421b3702fcc + true + Transform + Transform + false + 0 + + + + + + 2817 + 1156 + 53 + 20 + + + 2845 + 1166 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + a3109dcd-b6cf-41a8-b769-b80a5894b219 + true + Vector XYZ + Vector XYZ + + + + + + 2725 + 1199 + 155 + 64 + + + 2826 + 1231 + + + + + + Vector {x} component + 44969ae5-8746-4507-a6c1-31b16af59304 + -X + true + X component + X component + false + 45cacb59-db8f-4bcf-92f7-9858295e7129 + 1 + + + + + + 2727 + 1201 + 84 + 20 + + + 2778.5 + 1211 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + 70a752f0-8268-4395-a051-8f5ac3e5187c + true + Y component + Y component + false + 0 + + + + + + 2727 + 1221 + 84 + 20 + + + 2778.5 + 1231 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Vector {z} component + 7d1751a9-6b18-4d20-af0c-d90afbd82213 + true + Z component + Z component + false + 0 + + + + + + 2727 + 1241 + 84 + 20 + + + 2778.5 + 1251 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + d4dd9a2b-a6ba-4935-8c80-8821e6625ee6 + true + Vector + Vector + false + 0 + + + + + + 2841 + 1201 + 37 + 30 + + + 2861 + 1216 + + + + + + + + Vector length + f74aa292-aab1-4ce6-a9ae-6cb67ef5eb1b + true + Length + Length + false + 0 + + + + + + 2841 + 1231 + 37 + 30 + + + 2861 + 1246 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 19794563-a66c-483d-a5a7-3a141a317442 + e791fbc6-af59-4ad4-b7b9-bf23b2eb991d + 8106a0ef-ccc6-40de-94b5-a8fc0651ea3a + c4b05861-4dcc-4fa6-9a55-cd2ef09186a2 + 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 + 67a350fe-d446-4487-9291-6bee5215236f + e6ebbaf0-0ce2-416a-9da6-4b087003b097 + ac291d1c-68db-4960-a7e7-5db523fe6c22 + bba4be05-dbbc-41aa-b8fc-0b9c012ff2e1 + 18d36f48-a4e9-48f8-a2d1-bab088228a1c + 6fce7b17-02a7-4fe3-b8c9-47d13b69247f + e560636d-e6f0-4cec-9254-b1218b844a79 + 29a022c6-b2ea-4f5b-8024-18d708b5bbd8 + a3109dcd-b6cf-41a8-b769-b80a5894b219 + 931f5277-2c60-43e1-83f4-396ccd594a3a + 2a80daa5-7f21-4cee-8c44-d32500908c11 + 55fe76bb-1b33-440c-8fc1-fe01651e8fa4 + 686977b0-f5c0-4fd2-85ff-41e36f44e9e1 + e3749bf3-dd2f-4da8-826c-372b05cde1be + d37fe9ae-0bf0-4e5b-b780-b8ffbbe9b87b + 66bf7298-94f5-4b70-9e91-e530523ea15e + b7947ef7-88a1-45b5-96cb-4bbca7365312 + 1c193ff0-05e8-47a8-96fc-bbafada6a625 + bb422305-f56f-490b-b653-544931c09145 + 45cacb59-db8f-4bcf-92f7-9858295e7129 + 25 + e755cd13-50eb-45cb-81a9-a1569b22e5f0 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 931f5277-2c60-43e1-83f4-396ccd594a3a + true + Relay + + false + f1e198ee-8c72-43b0-bdfb-8896635b9001 + 1 + + + + + + 2783 + 2342 + 40 + 16 + + + 2803 + 2350 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 66a4b758-7a62-4d07-a8d0-412ee9d032c8 + true + Line SDL + Line SDL + + + + + + 2762 + -463 + 106 + 64 + + + 2826 + -431 + + + + + + Line start point + 580103c3-dba4-4d4d-8db3-c5ce957e00ca + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2764 + -461 + 47 + 20 + + + 2789 + -451 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + eb1bc218-593e-4f0f-883c-a5651a92571b + true + Direction + Direction + false + 0 + + + + + + 2764 + -441 + 47 + 20 + + + 2789 + -431 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 6745e242-fe3f-401b-9526-0a256ab4cbe4 + true + Length + Length + false + cb55f4ee-f70b-4570-a002-0e1149eab871 + 1 + + + + + + 2764 + -421 + 47 + 20 + + + 2789 + -411 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + d0b5c3fe-016c-41f8-88bb-b8f9b2c3a272 + true + Line + Line + false + 0 + + + + + + 2841 + -461 + 25 + 60 + + + 2855 + -431 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 66b05dfa-3cbf-42ec-8f9c-811a3b9ba050 + true + Expression + Expression + + + + + + 2706 + 212 + 194 + 28 + + + 2806 + 226 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 1f95b2d9-be8a-40b7-ba63-2c1e3c58b242 + true + Variable O + O + true + 7e2319c0-80b8-4035-93a2-acff99edf0e4 + 1 + + + + + + 2708 + 214 + 14 + 24 + + + 2716.5 + 226 + + + + + + + + Result of expression + 76246871-dc5c-4fce-aec3-104f1e344229 + true + Result + + false + 0 + + + + + + 2889 + 214 + 9 + 24 + + + 2895 + 226 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e2f4d4a2-4219-48d3-921e-84f34ef86664 + true + Panel + + false + 1 + 76246871-dc5c-4fce-aec3-104f1e344229 + 1 + Double click to edit panel content… + + + + + + 2696 + -78 + 214 + 271 + + 0 + 0 + 0 + + 2696.355 + -77.07108 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 5d453582-942a-43d2-92be-06c1d12de2a6 + true + Relay + + false + e2f4d4a2-4219-48d3-921e-84f34ef86664 + 1 + + + + + + 2783 + -113 + 40 + 16 + + + 2803 + -105 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + b565e546-b7f7-4a1b-9c81-7e90c1d9e590 + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 3945 + 7777 + 50 + 24 + + + 3970.923 + 7789.155 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7e2319c0-80b8-4035-93a2-acff99edf0e4 + true + Relay + + false + ebd6e7da-401e-4c36-9647-c47021848030 + 1 + + + + + + 2783 + 240 + 40 + 16 + + + 2803 + 248 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 11600905-2419-4939-b8c9-dbab8d35b7d3 + true + Quick Graph + Quick Graph + false + 0 + 7e2319c0-80b8-4035-93a2-acff99edf0e4 + 1 + + + + + + 2728 + -281 + 150 + 150 + + + 2728.454 + -280.0285 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 96bc0fe3-f065-4aa3-916f-5940bd50fd88 + true + Relative Differences + Relative Differences + + + + + + 2737 + 313 + 128 + 28 + + + 2790 + 327 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + a1d0f6f4-4ba1-4086-8421-6e4e3358667f + true + Values + Values + false + ff57e150-073d-4bce-b863-68e84728b1ca + 1 + + + + + + 2739 + 315 + 36 + 24 + + + 2758.5 + 327 + + + + + + + + 1 + Differences between consecutive items + a599322f-0d2f-427b-b855-5f76e8e13e74 + true + Differenced + Differenced + false + 0 + + + + + + 2805 + 315 + 58 + 24 + + + 2835.5 + 327 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + ebd6e7da-401e-4c36-9647-c47021848030 + true + Relay + + false + a599322f-0d2f-427b-b855-5f76e8e13e74 + 1 + + + + + + 2783 + 277 + 40 + 16 + + + 2803 + 285 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b5b8702a-3540-4cfa-a086-1aa3e0c7a08c + true + Relay + + false + de531981-8867-4b45-8952-b36202bf4e1d + 1 + + + + + + 2785 + 424 + 40 + 16 + + + 2805 + 432 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 6b5426f7-8efd-4d40-8b6e-1bbb463df895 + true + Replace Nulls + Replace Nulls + + + + + + 2737 + 359 + 136 + 44 + + + 2823 + 381 + + + + + + 1 + Items to test for null + dbcdcd49-3e92-4600-83c6-26173aa03331 + true + Items + Items + false + b5b8702a-3540-4cfa-a086-1aa3e0c7a08c + 1 + + + + + + 2739 + 361 + 69 + 20 + + + 2775 + 371 + + + + + + + + 1 + Items to replace nulls with + 6f8a5940-0853-4ccb-ad5a-b7db9ed51fad + true + Replacements + Replacements + false + 0 + + + + + + 2739 + 381 + 69 + 20 + + + 2775 + 391 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + ff57e150-073d-4bce-b863-68e84728b1ca + true + Items + Items + false + 0 + + + + + + 2838 + 361 + 33 + 20 + + + 2856 + 371 + + + + + + + + Number of items replaced + 0c5e93a4-81cf-489f-9695-468581e553cc + true + Count + Count + false + 0 + + + + + + 2838 + 381 + 33 + 20 + + + 2856 + 391 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 0604e4e1-ad52-4e70-aa40-6b7bb7fec836 + true + Multiplication + Multiplication + + + + + + 2762 + -347 + 82 + 44 + + + 2793 + -325 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + f8a24621-5889-44f3-be0f-7719de89ddea + true + A + A + true + 7e2319c0-80b8-4035-93a2-acff99edf0e4 + 1 + + + + + + 2764 + -345 + 14 + 20 + + + 2772.5 + -335 + + + + + + + + Second item for multiplication + 2e633020-026b-4494-8b75-0bdc0ac0d480 + true + B + B + true + 3a7058c3-08a8-41b6-8c4e-ed03c3ab3b28 + 1 + + + + + + 2764 + -325 + 14 + 20 + + + 2772.5 + -315 + + + + + + + + Result of multiplication + cb55f4ee-f70b-4570-a002-0e1149eab871 + true + Result + Result + false + 0 + + + + + + 2808 + -345 + 34 + 40 + + + 2826.5 + -325 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 3a7058c3-08a8-41b6-8c4e-ed03c3ab3b28 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 4 + + 2233.52343808 + + + + + + 2678 + -383 + 250 + 20 + + + 2678.434 + -382.6825 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 4e44e341-6f47-4f00-a431-777a1b460d34 + true + Move + Move + + + + + + 2734 + -627 + 138 + 44 + + + 2802 + -605 + + + + + + Base geometry + 8947fec3-8004-47b2-8f38-158813550f76 + true + Geometry + Geometry + true + d0b5c3fe-016c-41f8-88bb-b8f9b2c3a272 + 1 + + + + + + 2736 + -625 + 51 + 20 + + + 2763 + -615 + + + + + + + + Translation vector + 485a1315-bd80-458c-88e2-d817d8496ddc + true + Motion + Motion + false + 63fc990e-fddf-41f2-9b12-284f0462fe11 + 1 + + + + + + 2736 + -605 + 51 + 20 + + + 2763 + -595 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 2b8b5cbd-995b-42e0-af86-dd9fc7d657ca + true + Geometry + Geometry + false + 0 + + + + + + 2817 + -625 + 53 + 20 + + + 2845 + -615 + + + + + + + + Transformation data + 44b69aa6-bb49-4dd9-b3bf-0b3cd4a8ec76 + true + Transform + Transform + false + 0 + + + + + + 2817 + -605 + 53 + 20 + + + 2845 + -595 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + c22469cc-e888-4b1c-bd52-1bb4a2191b49 + true + Vector XYZ + Vector XYZ + + + + + + 2725 + -562 + 155 + 64 + + + 2826 + -530 + + + + + + Vector {x} component + b09718a6-4876-4d94-a977-784ad2ed008d + -X + true + X component + X component + false + f0a46a15-062c-4b96-9a51-0ebf280e5a4a + 1 + + + + + + 2727 + -560 + 84 + 20 + + + 2778.5 + -550 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + 8ffd5027-e0ca-43f1-b014-9fa80cd55a48 + true + Y component + Y component + false + 0 + + + + + + 2727 + -540 + 84 + 20 + + + 2778.5 + -530 + + + + + + 1 + + + + + 1 + {0} + + + + + 3 + + + + + + + + + + + Vector {z} component + 72a0e4ec-fd97-4061-8567-d5afc981a80d + true + Z component + Z component + false + 0 + + + + + + 2727 + -520 + 84 + 20 + + + 2778.5 + -510 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 63fc990e-fddf-41f2-9b12-284f0462fe11 + true + Vector + Vector + false + 0 + + + + + + 2841 + -560 + 37 + 30 + + + 2861 + -545 + + + + + + + + Vector length + 7d9826bd-d248-43d9-9150-445b646fc6c3 + true + Length + Length + false + 0 + + + + + + 2841 + -530 + 37 + 30 + + + 2861 + -515 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 66a4b758-7a62-4d07-a8d0-412ee9d032c8 + 66b05dfa-3cbf-42ec-8f9c-811a3b9ba050 + e2f4d4a2-4219-48d3-921e-84f34ef86664 + 5d453582-942a-43d2-92be-06c1d12de2a6 + 7e2319c0-80b8-4035-93a2-acff99edf0e4 + 11600905-2419-4939-b8c9-dbab8d35b7d3 + 96bc0fe3-f065-4aa3-916f-5940bd50fd88 + ebd6e7da-401e-4c36-9647-c47021848030 + b5b8702a-3540-4cfa-a086-1aa3e0c7a08c + 6b5426f7-8efd-4d40-8b6e-1bbb463df895 + 0604e4e1-ad52-4e70-aa40-6b7bb7fec836 + 3a7058c3-08a8-41b6-8c4e-ed03c3ab3b28 + 4e44e341-6f47-4f00-a431-777a1b460d34 + c22469cc-e888-4b1c-bd52-1bb4a2191b49 + de531981-8867-4b45-8952-b36202bf4e1d + e909739f-f11a-4f63-961e-cbe23cb83593 + 84185437-01a9-46d2-8587-90dc91fbaeef + a59697d7-edbc-4983-90af-5eeb0652d3e3 + a628cbff-e924-4087-b69a-6ae9e00ca171 + e02dc4a6-1ed5-4658-8ab5-2a962ae14431 + 8a5a7e2c-67ec-458b-b19b-c7e51a8e067f + 4793db3b-823e-4fc7-9363-44884123053d + 36470645-ff8a-4059-9665-a25ef0bc1bff + f0a46a15-062c-4b96-9a51-0ebf280e5a4a + 24 + 46694f6f-bc7f-49b1-b788-c73845685196 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + de531981-8867-4b45-8952-b36202bf4e1d + true + Relay + + false + 5c9f7ef1-c3d7-452f-b3e8-e12bbefc48f8 + 1 + + + + + + 2783 + 460 + 40 + 16 + + + 2803 + 468 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + a215e2b8-03ec-47c3-a47b-74a2b0223ad1 + true + Line SDL + Line SDL + + + + + + 2766 + -2253 + 106 + 64 + + + 2830 + -2221 + + + + + + Line start point + 88c9e5e9-5534-4d81-a29a-e298d744d3f3 + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2768 + -2251 + 47 + 20 + + + 2793 + -2241 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 003f01d7-c77d-4202-84b1-47279a3f7288 + true + Direction + Direction + false + 0 + + + + + + 2768 + -2231 + 47 + 20 + + + 2793 + -2221 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 2e1c9145-3960-4497-acd5-6ba3d6538a90 + true + Length + Length + false + 04b08fbe-172b-4933-9952-829403b1a725 + 1 + + + + + + 2768 + -2211 + 47 + 20 + + + 2793 + -2201 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + e8152b51-a75c-4739-ae10-fb04a597422d + true + Line + Line + false + 0 + + + + + + 2845 + -2251 + 25 + 60 + + + 2859 + -2221 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + c099f5d9-814b-4093-b58d-5105beb0ea10 + true + Expression + Expression + + + + + + 2706 + -1590 + 194 + 28 + + + 2806 + -1576 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0c9ed85a-0c10-4294-a05a-08eccacd357a + true + Variable O + O + true + 73e154f2-80c6-4ae6-bc3c-6465f74895ee + 1 + + + + + + 2708 + -1588 + 14 + 24 + + + 2716.5 + -1576 + + + + + + + + Result of expression + 54af680b-e20d-406c-be22-11cc537a8367 + true + Result + + false + 0 + + + + + + 2889 + -1588 + 9 + 24 + + + 2895 + -1576 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b40d92d1-a240-45cd-a34c-b1e003fcb81a + true + Panel + + false + 1 + 54af680b-e20d-406c-be22-11cc537a8367 + 1 + Double click to edit panel content… + + + + + + 2696 + -1882 + 214 + 271 + + 0 + 0 + 0 + + 2696.486 + -1881.444 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + face4faf-9c7f-4e39-916f-957ffe7938f9 + true + Relay + + false + b40d92d1-a240-45cd-a34c-b1e003fcb81a + 1 + + + + + + 2783 + -1918 + 40 + 16 + + + 2803 + -1910 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 73e154f2-80c6-4ae6-bc3c-6465f74895ee + true + Relay + + false + d2e976df-5bed-4b60-bcf0-53bc9faed943 + 1 + + + + + + 2783 + -1544 + 40 + 16 + + + 2803 + -1536 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + dd0f6cee-8116-4a3b-a587-2587eed44998 + true + Quick Graph + Quick Graph + false + 0 + 73e154f2-80c6-4ae6-bc3c-6465f74895ee + 1 + + + + + + 2728 + -2084 + 150 + 150 + + + 2728.585 + -2083.267 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 333b2be5-4551-45ff-8cde-28df0c73e1e3 + true + Relative Differences + Relative Differences + + + + + + 2739 + -1449 + 128 + 28 + + + 2792 + -1435 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + ab0a368a-1844-4969-be9e-3749177d7e38 + true + Values + Values + false + 3084c808-7cec-485b-ab86-376db1f115a1 + 1 + + + + + + 2741 + -1447 + 36 + 24 + + + 2760.5 + -1435 + + + + + + + + 1 + Differences between consecutive items + 0cb5fa70-ea4c-406a-af82-30bab56f0c2b + true + Differenced + Differenced + false + 0 + + + + + + 2807 + -1447 + 58 + 24 + + + 2837.5 + -1435 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d2e976df-5bed-4b60-bcf0-53bc9faed943 + true + Relay + + false + 0cb5fa70-ea4c-406a-af82-30bab56f0c2b + 1 + + + + + + 2783 + -1483 + 40 + 16 + + + 2803 + -1475 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6a3d6332-c462-42bc-9c10-9d6432e71731 + true + Relay + + false + 0576783e-c535-4691-b39c-477f6935999c + 1 + + + + + + 2783 + -1342 + 40 + 16 + + + 2803 + -1334 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 19366a9a-5dc4-4739-a801-49f17d8989b5 + true + Replace Nulls + Replace Nulls + + + + + + 2735 + -1404 + 136 + 44 + + + 2821 + -1382 + + + + + + 1 + Items to test for null + c5fd2979-3f7a-4fea-a551-275772f36a8b + true + Items + Items + false + 6a3d6332-c462-42bc-9c10-9d6432e71731 + 1 + + + + + + 2737 + -1402 + 69 + 20 + + + 2773 + -1392 + + + + + + + + 1 + Items to replace nulls with + e82548c9-e185-463a-af4c-9f9703b5f5ee + true + Replacements + Replacements + false + 0 + + + + + + 2737 + -1382 + 69 + 20 + + + 2773 + -1372 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 3084c808-7cec-485b-ab86-376db1f115a1 + true + Items + Items + false + 0 + + + + + + 2836 + -1402 + 33 + 20 + + + 2854 + -1392 + + + + + + + + Number of items replaced + 7cbcd3bf-8d2f-436f-8a76-6ac67870b3f8 + true + Count + Count + false + 0 + + + + + + 2836 + -1382 + 33 + 20 + + + 2854 + -1372 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + f9b0a7de-ecf1-4969-b872-fdadfa9af113 + true + Multiplication + Multiplication + + + + + + 2762 + -2153 + 82 + 44 + + + 2793 + -2131 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 269ab055-0d40-468d-9d96-33528da5c12c + true + A + A + true + 73e154f2-80c6-4ae6-bc3c-6465f74895ee + 1 + + + + + + 2764 + -2151 + 14 + 20 + + + 2772.5 + -2141 + + + + + + + + Second item for multiplication + 6ddf6eae-0c4a-41bb-9f8f-40f021cc5850 + true + B + B + true + c0e2db88-5789-426d-83c7-0588de3ef25b + 1 + + + + + + 2764 + -2131 + 14 + 20 + + + 2772.5 + -2121 + + + + + + + + Result of multiplication + 04b08fbe-172b-4933-9952-829403b1a725 + true + Result + Result + false + 0 + + + + + + 2808 + -2151 + 34 + 40 + + + 2826.5 + -2131 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + c0e2db88-5789-426d-83c7-0588de3ef25b + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 5 + + 20817.0283827 + + + + + + 2678 + -2173 + 250 + 20 + + + 2678.565 + -2172.921 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + f9efa372-460e-4f62-b112-3081e9e3ef5e + true + Move + Move + + + + + + 2734 + -2433 + 138 + 44 + + + 2802 + -2411 + + + + + + Base geometry + 9c3296c6-7709-433e-9c14-dee1444eb571 + true + Geometry + Geometry + true + e8152b51-a75c-4739-ae10-fb04a597422d + 1 + + + + + + 2736 + -2431 + 51 + 20 + + + 2763 + -2421 + + + + + + + + Translation vector + d0311c28-141d-44f3-bd9c-39ed49d81bb9 + true + Motion + Motion + false + d9489a97-3b72-4c68-a11f-cd3f614bb8e6 + 1 + + + + + + 2736 + -2411 + 51 + 20 + + + 2763 + -2401 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 124d9bdf-ab24-4fa1-acfd-0f24e78ae4f3 + true + Geometry + Geometry + false + 0 + + + + + + 2817 + -2431 + 53 + 20 + + + 2845 + -2421 + + + + + + + + Transformation data + 6511a1f1-0c1c-4bdd-b0e1-e7e508faf1a7 + true + Transform + Transform + false + 0 + + + + + + 2817 + -2411 + 53 + 20 + + + 2845 + -2401 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + def11018-cdab-4a0d-8a79-53646db73041 + true + Vector XYZ + Vector XYZ + + + + + + 2725 + -2368 + 155 + 64 + + + 2826 + -2336 + + + + + + Vector {x} component + 100046f4-03fb-441c-a3eb-b1857577ffa8 + -X + true + X component + X component + false + f49ae725-c6ea-4bce-920d-d82e9007d475 + 1 + + + + + + 2727 + -2366 + 84 + 20 + + + 2778.5 + -2356 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + d1bb1f9a-9302-4414-9aba-af01df8f861a + true + Y component + Y component + false + 0 + + + + + + 2727 + -2346 + 84 + 20 + + + 2778.5 + -2336 + + + + + + 1 + + + + + 1 + {0} + + + + + 4 + + + + + + + + + + + Vector {z} component + 4fa47ac3-b67d-4e38-8168-fd2aae2d9e5a + true + Z component + Z component + false + 0 + + + + + + 2727 + -2326 + 84 + 20 + + + 2778.5 + -2316 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + d9489a97-3b72-4c68-a11f-cd3f614bb8e6 + true + Vector + Vector + false + 0 + + + + + + 2841 + -2366 + 37 + 30 + + + 2861 + -2351 + + + + + + + + Vector length + 8bcf063d-7669-4c27-83b2-0bafbaad2aa7 + true + Length + Length + false + 0 + + + + + + 2841 + -2336 + 37 + 30 + + + 2861 + -2321 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a215e2b8-03ec-47c3-a47b-74a2b0223ad1 + c099f5d9-814b-4093-b58d-5105beb0ea10 + b40d92d1-a240-45cd-a34c-b1e003fcb81a + face4faf-9c7f-4e39-916f-957ffe7938f9 + 73e154f2-80c6-4ae6-bc3c-6465f74895ee + dd0f6cee-8116-4a3b-a587-2587eed44998 + 333b2be5-4551-45ff-8cde-28df0c73e1e3 + d2e976df-5bed-4b60-bcf0-53bc9faed943 + 6a3d6332-c462-42bc-9c10-9d6432e71731 + 19366a9a-5dc4-4739-a801-49f17d8989b5 + f9b0a7de-ecf1-4969-b872-fdadfa9af113 + c0e2db88-5789-426d-83c7-0588de3ef25b + f9efa372-460e-4f62-b112-3081e9e3ef5e + def11018-cdab-4a0d-8a79-53646db73041 + 0576783e-c535-4691-b39c-477f6935999c + 373fcd53-e5a6-4804-a735-47b5d060439d + 488f27d6-7474-41e8-8662-7a97ae90ccac + ee5c627c-1bb9-411b-8539-5f5cfd653e05 + 3e7cc59c-5d43-43d2-a2fc-3ff56e225a0a + 23406fea-d648-42ad-a9a6-9e6a5e871332 + 6e9a05fd-a63f-46c8-8e9c-6c2090966168 + 5b1003b9-09b0-4476-8f1b-58290691bc28 + dcb7528a-ecb2-455e-a7a9-bbc1925d8141 + f49ae725-c6ea-4bce-920d-d82e9007d475 + 24 + 63f630a9-0dcd-4541-82a2-b0a37918ce26 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0576783e-c535-4691-b39c-477f6935999c + true + Relay + + false + 7e2319c0-80b8-4035-93a2-acff99edf0e4 + 1 + + + + + + 2783 + -1308 + 40 + 16 + + + 2803 + -1300 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 2a80daa5-7f21-4cee-8c44-d32500908c11 + true + Line SDL + Line SDL + + + + + + 2750 + 1482 + 106 + 64 + + + 2814 + 1514 + + + + + + Line start point + 6973d845-c78b-4031-abff-d030ca769ebc + true + Start + Start + false + 0 + + + + + + 2752 + 1484 + 47 + 20 + + + 2777 + 1494 + + + + + + 1 + + + + + 1 + {0} + + + + + + + -2.12109391180815 + 1.99985794027194 + 0 + + + + + + + + + + + + Line tangent (direction) + 70b7f2d6-8386-46e4-83d1-81953d8f7fbd + true + Direction + Direction + false + 0 + + + + + + 2752 + 1504 + 47 + 20 + + + 2777 + 1514 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0.0625 + 0 + + + + + + + + + + + + Line length + aa139009-b95c-479b-a98b-045d7c8ced43 + true + Length + Length + false + 0 + + + + + + 2752 + 1524 + 47 + 20 + + + 2777 + 1534 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 6b86b814-e46e-4186-82ec-e4a645aae545 + true + Line + Line + false + 0 + + + + + + 2829 + 1484 + 25 + 60 + + + 2843 + 1514 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 042c7918-1ded-400b-ba9c-adc3004fce23 + true + Line SDL + Line SDL + + + + + + 2755 + -4059 + 106 + 64 + + + 2819 + -4027 + + + + + + Line start point + 3fa6e5ea-adee-472e-8b3f-05dc29429866 + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2757 + -4057 + 47 + 20 + + + 2782 + -4047 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 29615d06-03ae-4c97-b722-93093d338683 + true + Direction + Direction + false + 0 + + + + + + 2757 + -4037 + 47 + 20 + + + 2782 + -4027 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 9f596764-c393-41b4-b737-b159912b86d1 + true + Length + Length + false + 76dad168-9920-4c9d-9b0c-7840e0411195 + 1 + + + + + + 2757 + -4017 + 47 + 20 + + + 2782 + -4007 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + c8946353-1197-4675-9f3c-83408d67f6da + true + Line + Line + false + 0 + + + + + + 2834 + -4057 + 25 + 60 + + + 2848 + -4027 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + bb4ec53c-c335-4888-a813-6dba4b0b3879 + true + Expression + Expression + + + + + + 2710 + -3381 + 194 + 28 + + + 2810 + -3367 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f87d3193-d293-441b-b2af-3d511bcd31a1 + true + Variable O + O + true + 50df359b-4457-448c-bbbc-234551b5fbea + 1 + + + + + + 2712 + -3379 + 14 + 24 + + + 2720.5 + -3367 + + + + + + + + Result of expression + 304ce3dc-ec45-463b-95a9-eb4796ff8aed + true + Result + + false + 0 + + + + + + 2893 + -3379 + 9 + 24 + + + 2899 + -3367 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 539290d9-dce9-43a1-adf4-e5affd26f6ea + true + Panel + + false + 1 + 304ce3dc-ec45-463b-95a9-eb4796ff8aed + 1 + Double click to edit panel content… + + + + + + 2701 + -3673 + 214 + 271 + + 0 + 0 + 0 + + 2701.717 + -3672.704 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 238896a6-397f-4896-9866-4977be1c5cb8 + true + Relay + + false + 539290d9-dce9-43a1-adf4-e5affd26f6ea + 1 + + + + + + 2787 + -3716 + 40 + 16 + + + 2807 + -3708 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 50df359b-4457-448c-bbbc-234551b5fbea + true + Relay + + false + b64f24de-d0b2-4d54-bf7e-07324953940a + 1 + + + + + + 2787 + -3353 + 40 + 16 + + + 2807 + -3345 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 06278da8-5577-4c01-9bca-f378277efc42 + true + Quick Graph + Quick Graph + false + 0 + 50df359b-4457-448c-bbbc-234551b5fbea + 1 + + + + + + 2733 + -3875 + 150 + 150 + + + 2733.816 + -3874.528 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 075e2fbe-e8d0-4a47-912a-e40abbb65453 + true + Relative Differences + Relative Differences + + + + + + 2743 + -3240 + 128 + 28 + + + 2796 + -3226 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 72b8a0b1-d1d3-4dcc-b243-4685a2d6f2c3 + true + Values + Values + false + a841c1a5-bb93-4744-bf9c-c03e90064964 + 1 + + + + + + 2745 + -3238 + 36 + 24 + + + 2764.5 + -3226 + + + + + + + + 1 + Differences between consecutive items + 7fc4d72d-84c3-4dd1-bf48-0a27e1a8a871 + true + Differenced + Differenced + false + 0 + + + + + + 2811 + -3238 + 58 + 24 + + + 2841.5 + -3226 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b64f24de-d0b2-4d54-bf7e-07324953940a + true + Relay + + false + 7fc4d72d-84c3-4dd1-bf48-0a27e1a8a871 + 1 + + + + + + 2787 + -3274 + 40 + 16 + + + 2807 + -3266 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f209f4a2-f539-4aa3-ae96-2646314ce948 + true + Relay + + false + dc4a89cc-6391-4120-a0c7-bb01947e616d + 1 + + + + + + 2787 + -3133 + 40 + 16 + + + 2807 + -3125 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 9c3b67af-a7a4-4fb2-b1fa-95d0eb77ef5b + true + Replace Nulls + Replace Nulls + + + + + + 2739 + -3195 + 136 + 44 + + + 2825 + -3173 + + + + + + 1 + Items to test for null + f4cf7b8c-094d-4232-8bd6-b670561fb534 + true + Items + Items + false + f209f4a2-f539-4aa3-ae96-2646314ce948 + 1 + + + + + + 2741 + -3193 + 69 + 20 + + + 2777 + -3183 + + + + + + + + 1 + Items to replace nulls with + 726e1471-dba4-428d-982b-cec7b3b6c89c + true + Replacements + Replacements + false + 0 + + + + + + 2741 + -3173 + 69 + 20 + + + 2777 + -3163 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + a841c1a5-bb93-4744-bf9c-c03e90064964 + true + Items + Items + false + 0 + + + + + + 2840 + -3193 + 33 + 20 + + + 2858 + -3183 + + + + + + + + Number of items replaced + 0da654db-e64e-4aa3-bd42-1e3cdc517fe9 + true + Count + Count + false + 0 + + + + + + 2840 + -3173 + 33 + 20 + + + 2858 + -3163 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 814cda62-2c48-4bb8-9edc-976f47afdf2a + true + Multiplication + Multiplication + + + + + + 2770 + -3938 + 82 + 44 + + + 2801 + -3916 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 41f1a18d-0420-4bd8-927b-0dd17657e8a7 + true + A + A + true + 50df359b-4457-448c-bbbc-234551b5fbea + 1 + + + + + + 2772 + -3936 + 14 + 20 + + + 2780.5 + -3926 + + + + + + + + Second item for multiplication + b694a7ae-c9fa-4cc7-a775-f46636839f1f + true + B + B + true + d2eb7a37-d5dd-4ee1-8748-628d8498578a + 1 + + + + + + 2772 + -3916 + 14 + 20 + + + 2780.5 + -3906 + + + + + + + + Result of multiplication + 76dad168-9920-4c9d-9b0c-7840e0411195 + true + Result + Result + false + 0 + + + + + + 2816 + -3936 + 34 + 40 + + + 2834.5 + -3916 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + d2eb7a37-d5dd-4ee1-8748-628d8498578a + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 5 + + 56336.1968128 + + + + + + 2682 + -3977 + 250 + 20 + + + 2682.217 + -3976.787 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 11047804-87b6-4b30-bd41-bf40de79677a + true + Move + Move + + + + + + 2738 + -4222 + 138 + 44 + + + 2806 + -4200 + + + + + + Base geometry + f49caf1a-65e2-45bb-aacd-2dfc52d04f59 + true + Geometry + Geometry + true + c8946353-1197-4675-9f3c-83408d67f6da + 1 + + + + + + 2740 + -4220 + 51 + 20 + + + 2767 + -4210 + + + + + + + + Translation vector + ceeceab3-c17b-4e19-9177-d15f796f675c + true + Motion + Motion + false + db4d5bd9-6588-461b-99cc-36749b76ef54 + 1 + + + + + + 2740 + -4200 + 51 + 20 + + + 2767 + -4190 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 2c9695ba-b315-4f78-85cd-abc3b3a78187 + true + Geometry + Geometry + false + 0 + + + + + + 2821 + -4220 + 53 + 20 + + + 2849 + -4210 + + + + + + + + Transformation data + 317fe4f6-2c97-4959-bc91-a97c0d7694e9 + true + Transform + Transform + false + 0 + + + + + + 2821 + -4200 + 53 + 20 + + + 2849 + -4190 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 7559b255-f641-4d37-8771-422671c9d661 + true + Vector XYZ + Vector XYZ + + + + + + 2729 + -4159 + 155 + 64 + + + 2830 + -4127 + + + + + + Vector {x} component + 86dcd50f-b6ae-4f17-9afc-cc4ef5b72aff + -X + true + X component + X component + false + eecc13d9-74f4-4560-a0dc-f0d6eb44d03c + 1 + + + + + + 2731 + -4157 + 84 + 20 + + + 2782.5 + -4147 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + ca8927b3-a645-48f7-bea7-3e0c7c770d9c + true + Y component + Y component + false + 0 + + + + + + 2731 + -4137 + 84 + 20 + + + 2782.5 + -4127 + + + + + + 1 + + + + + 1 + {0} + + + + + 5 + + + + + + + + + + + Vector {z} component + a30b780b-5434-49c4-b140-fa9591b9e3a5 + true + Z component + Z component + false + 0 + + + + + + 2731 + -4117 + 84 + 20 + + + 2782.5 + -4107 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + db4d5bd9-6588-461b-99cc-36749b76ef54 + true + Vector + Vector + false + 0 + + + + + + 2845 + -4157 + 37 + 30 + + + 2865 + -4142 + + + + + + + + Vector length + b2d573de-5c72-449f-801b-5c7ebd9594ae + true + Length + Length + false + 0 + + + + + + 2845 + -4127 + 37 + 30 + + + 2865 + -4112 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 042c7918-1ded-400b-ba9c-adc3004fce23 + bb4ec53c-c335-4888-a813-6dba4b0b3879 + 539290d9-dce9-43a1-adf4-e5affd26f6ea + 238896a6-397f-4896-9866-4977be1c5cb8 + 50df359b-4457-448c-bbbc-234551b5fbea + 06278da8-5577-4c01-9bca-f378277efc42 + 075e2fbe-e8d0-4a47-912a-e40abbb65453 + b64f24de-d0b2-4d54-bf7e-07324953940a + f209f4a2-f539-4aa3-ae96-2646314ce948 + 9c3b67af-a7a4-4fb2-b1fa-95d0eb77ef5b + 814cda62-2c48-4bb8-9edc-976f47afdf2a + d2eb7a37-d5dd-4ee1-8748-628d8498578a + 11047804-87b6-4b30-bd41-bf40de79677a + 7559b255-f641-4d37-8771-422671c9d661 + dc4a89cc-6391-4120-a0c7-bb01947e616d + 3a1806c9-f1d1-40d4-b0c3-ba40727c7574 + 8500138e-2946-4f7c-be93-c3c7109b4c2f + cad9f703-3621-4a15-835e-3c62c5728043 + 19800ae1-a0b6-4fea-a742-1c5c30324ec3 + ceffa153-887e-4858-9494-ff4113ed6ec8 + e9181e89-67db-453a-a90b-03cf875e54e4 + eecc13d9-74f4-4560-a0dc-f0d6eb44d03c + 22 + 60746e92-8e7d-4181-8157-9d909cfaa5af + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + dc4a89cc-6391-4120-a0c7-bb01947e616d + true + Relay + + false + 73e154f2-80c6-4ae6-bc3c-6465f74895ee + 1 + + + + + + 2787 + -3099 + 40 + 16 + + + 2807 + -3091 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 6f02b009-b1e7-40fb-982b-a4cc92989f93 + true + Line SDL + Line SDL + + + + + + 2758 + -5837 + 106 + 64 + + + 2822 + -5805 + + + + + + Line start point + 9b1f3040-25b4-465c-b48b-20d876ca8d30 + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2760 + -5835 + 47 + 20 + + + 2785 + -5825 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + ab363ead-60ce-42e6-abb6-fada154e2d83 + true + Direction + Direction + false + 0 + + + + + + 2760 + -5815 + 47 + 20 + + + 2785 + -5805 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + a12ca76e-b81d-4f86-82e5-94db0c56f6bc + true + Length + Length + false + 219456fb-d7b5-4771-8625-546ff24ec0db + 1 + + + + + + 2760 + -5795 + 47 + 20 + + + 2785 + -5785 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + dbe25fd3-7c8f-4ba4-aa76-935deab2513d + true + Line + Line + false + 0 + + + + + + 2837 + -5835 + 25 + 60 + + + 2851 + -5805 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e8ede47a-0766-46eb-98e9-795795777e72 + true + Expression + Expression + + + + + + 2711 + -5199 + 194 + 28 + + + 2811 + -5185 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3a17e425-d670-4f6e-a8de-3f02eace241a + true + Variable O + O + true + 052a3230-6371-4fd8-b081-e62dc726cb17 + 1 + + + + + + 2713 + -5197 + 14 + 24 + + + 2721.5 + -5185 + + + + + + + + Result of expression + 2e133f21-2d54-4357-82b6-d6caa9c58bb9 + true + Result + + false + 0 + + + + + + 2894 + -5197 + 9 + 24 + + + 2900 + -5185 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f0598189-5cbb-4645-844b-5261772d3d6f + true + Panel + + false + 1 + 2e133f21-2d54-4357-82b6-d6caa9c58bb9 + 1 + Double click to edit panel content… + + + + + + 2701 + -5472 + 214 + 271 + + 0 + 0 + 0 + + 2701.714 + -5471.091 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + abd6a449-9c16-4c76-8ef0-98e478cd83ad + true + Relay + + false + f0598189-5cbb-4645-844b-5261772d3d6f + 1 + + + + + + 2788 + -5515 + 40 + 16 + + + 2808 + -5507 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 052a3230-6371-4fd8-b081-e62dc726cb17 + true + Relay + + false + 8dc32522-c682-4ff8-8b97-cbd1b23da515 + 1 + + + + + + 2788 + -5152 + 40 + 16 + + + 2808 + -5144 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + d1b7aee9-6996-44d7-a2a8-751ca861756f + true + Quick Graph + Quick Graph + false + 0 + 052a3230-6371-4fd8-b081-e62dc726cb17 + 1 + + + + + + 2733 + -5673 + 150 + 150 + + + 2733.813 + -5672.915 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 33d169ca-0346-4d9c-8215-357b9043028e + true + Relative Differences + Relative Differences + + + + + + 2744 + -5039 + 128 + 28 + + + 2797 + -5025 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 78975a9e-52d2-4a86-9086-68be735702ad + true + Values + Values + false + 9c15500f-157e-41a9-92a5-a20d78dd6d0a + 1 + + + + + + 2746 + -5037 + 36 + 24 + + + 2765.5 + -5025 + + + + + + + + 1 + Differences between consecutive items + e0b41d41-010c-450b-87c6-534ab840d77b + true + Differenced + Differenced + false + 0 + + + + + + 2812 + -5037 + 58 + 24 + + + 2842.5 + -5025 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8dc32522-c682-4ff8-8b97-cbd1b23da515 + true + Relay + + false + e0b41d41-010c-450b-87c6-534ab840d77b + 1 + + + + + + 2788 + -5073 + 40 + 16 + + + 2808 + -5065 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7b86bb78-229e-4e92-8975-52158c20193e + true + Relay + + false + c9a63204-827d-4fc8-89ca-1e01148b0d3d + 1 + + + + + + 2788 + -4932 + 40 + 16 + + + 2808 + -4924 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 81207625-50b7-466b-a33d-23c0e88f3ac9 + true + Replace Nulls + Replace Nulls + + + + + + 2740 + -4994 + 136 + 44 + + + 2826 + -4972 + + + + + + 1 + Items to test for null + 0766398e-adae-4a68-af23-b7c778109ed1 + true + Items + Items + false + 7b86bb78-229e-4e92-8975-52158c20193e + 1 + + + + + + 2742 + -4992 + 69 + 20 + + + 2778 + -4982 + + + + + + + + 1 + Items to replace nulls with + 32702515-c5ba-40c5-8d36-701e5e367bdb + true + Replacements + Replacements + false + 0 + + + + + + 2742 + -4972 + 69 + 20 + + + 2778 + -4962 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 9c15500f-157e-41a9-92a5-a20d78dd6d0a + true + Items + Items + false + 0 + + + + + + 2841 + -4992 + 33 + 20 + + + 2859 + -4982 + + + + + + + + Number of items replaced + 799563c9-5274-4ae7-beb6-b23dee7a1a4e + true + Count + Count + false + 0 + + + + + + 2841 + -4972 + 33 + 20 + + + 2859 + -4962 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 7239acaa-4bc2-4df7-9ccc-41202268cb8a + true + Multiplication + Multiplication + + + + + + 2770 + -5733 + 82 + 44 + + + 2801 + -5711 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + b43d79dd-62fc-46ee-9f3a-671373fd1cc3 + true + A + A + true + 052a3230-6371-4fd8-b081-e62dc726cb17 + 1 + + + + + + 2772 + -5731 + 14 + 20 + + + 2780.5 + -5721 + + + + + + + + Second item for multiplication + a4927aff-3c14-4dd1-8427-f305933617b5 + true + B + B + true + 0a0d20ea-45ef-4ce5-98da-34c0193e0b0b + 1 + + + + + + 2772 + -5711 + 14 + 20 + + + 2780.5 + -5701 + + + + + + + + Result of multiplication + 219456fb-d7b5-4771-8625-546ff24ec0db + true + Result + Result + false + 0 + + + + + + 2816 + -5731 + 34 + 40 + + + 2834.5 + -5711 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 0a0d20ea-45ef-4ce5-98da-34c0193e0b0b + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 6 + + 271915.006280 + + + + + + 2684 + -5753 + 250 + 20 + + + 2684.547 + -5752.496 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 4e1fee94-8bf0-4a03-9bb5-efb4198de1d7 + true + Move + Move + + + + + + 2739 + -6023 + 138 + 44 + + + 2807 + -6001 + + + + + + Base geometry + ad9b15b9-3d25-44f8-835e-637cd41ab1f3 + true + Geometry + Geometry + true + dbe25fd3-7c8f-4ba4-aa76-935deab2513d + 1 + + + + + + 2741 + -6021 + 51 + 20 + + + 2768 + -6011 + + + + + + + + Translation vector + 835cfb38-6c49-4afe-8da6-226f3a5aac91 + true + Motion + Motion + false + 532b21ed-054c-48dc-9ad9-d23e32f3c462 + 1 + + + + + + 2741 + -6001 + 51 + 20 + + + 2768 + -5991 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 6887d1d4-79dc-484f-ba0b-cbc72eeea403 + true + Geometry + Geometry + false + 0 + + + + + + 2822 + -6021 + 53 + 20 + + + 2850 + -6011 + + + + + + + + Transformation data + 7d36d4f0-da61-46e7-80c2-c9a571beca63 + true + Transform + Transform + false + 0 + + + + + + 2822 + -6001 + 53 + 20 + + + 2850 + -5991 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 0e8fc1e8-082d-43ee-a7cb-5a08841c0259 + true + Vector XYZ + Vector XYZ + + + + + + 2730 + -5958 + 155 + 64 + + + 2831 + -5926 + + + + + + Vector {x} component + 1b39f073-7197-461a-92d6-670b7c39add9 + -X + true + X component + X component + false + 647310bf-b19d-44df-ae6f-ffbd5b863fe9 + 1 + + + + + + 2732 + -5956 + 84 + 20 + + + 2783.5 + -5946 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + 3514c265-9042-4c28-8ab6-41303131d2d4 + true + Y component + Y component + false + 0 + + + + + + 2732 + -5936 + 84 + 20 + + + 2783.5 + -5926 + + + + + + 1 + + + + + 1 + {0} + + + + + 6 + + + + + + + + + + + Vector {z} component + 7d33e313-0e01-4d2b-9bd6-5619cee4cb27 + true + Z component + Z component + false + 0 + + + + + + 2732 + -5916 + 84 + 20 + + + 2783.5 + -5906 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 532b21ed-054c-48dc-9ad9-d23e32f3c462 + true + Vector + Vector + false + 0 + + + + + + 2846 + -5956 + 37 + 30 + + + 2866 + -5941 + + + + + + + + Vector length + 3b99ba49-6ac8-43e3-bd99-f3213da6a2bf + true + Length + Length + false + 0 + + + + + + 2846 + -5926 + 37 + 30 + + + 2866 + -5911 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6f02b009-b1e7-40fb-982b-a4cc92989f93 + e8ede47a-0766-46eb-98e9-795795777e72 + f0598189-5cbb-4645-844b-5261772d3d6f + abd6a449-9c16-4c76-8ef0-98e478cd83ad + 052a3230-6371-4fd8-b081-e62dc726cb17 + d1b7aee9-6996-44d7-a2a8-751ca861756f + 33d169ca-0346-4d9c-8215-357b9043028e + 8dc32522-c682-4ff8-8b97-cbd1b23da515 + 7b86bb78-229e-4e92-8975-52158c20193e + 81207625-50b7-466b-a33d-23c0e88f3ac9 + 7239acaa-4bc2-4df7-9ccc-41202268cb8a + 0a0d20ea-45ef-4ce5-98da-34c0193e0b0b + 4e1fee94-8bf0-4a03-9bb5-efb4198de1d7 + 0e8fc1e8-082d-43ee-a7cb-5a08841c0259 + c9a63204-827d-4fc8-89ca-1e01148b0d3d + c60b7d8a-b3ae-4380-9450-58ceb8ae5a6c + 91d19239-fa22-43d8-9328-a5aaa83c29d0 + c85fbe40-8c7e-4798-9c91-10dc94e3ce94 + 1ed8af89-73d9-46fb-9f92-85e97b1954ab + 35cf69c6-1a64-47f3-beee-9ffa3d777872 + 9cb83053-a3f1-4d08-bad8-b0b6d4352272 + b0dc11e3-028a-4c68-abf7-dc7f220168c2 + 957995f5-c366-463c-b3ce-f70bdb0ab1f3 + 647310bf-b19d-44df-ae6f-ffbd5b863fe9 + 24 + 476c07b4-d4b7-48f5-ab23-63a6ae96d8b0 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c9a63204-827d-4fc8-89ca-1e01148b0d3d + true + Relay + + false + 50df359b-4457-448c-bbbc-234551b5fbea + 1 + + + + + + 2788 + -4898 + 40 + 16 + + + 2808 + -4890 + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 7fad2a3d-6b73-4fd3-b85f-cbcca0edb0e9 + true + Line SDL + Line SDL + + + + + + 2755 + -7648 + 106 + 64 + + + 2819 + -7616 + + + + + + Line start point + d0cf9246-2f18-4473-bf16-83da1ef7502f + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2757 + -7646 + 47 + 20 + + + 2782 + -7636 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 4ebccf48-81fd-4163-b2ad-9c377061e5b4 + true + Direction + Direction + false + 0 + + + + + + 2757 + -7626 + 47 + 20 + + + 2782 + -7616 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 4c250e73-ca00-491e-8345-30d0c199d208 + true + Length + Length + false + eed75ede-9954-4e74-ba7c-3bd2194f1ac6 + 1 + + + + + + 2757 + -7606 + 47 + 20 + + + 2782 + -7596 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 37fc79be-f3e4-4303-9f79-031b628eb7dc + true + Line + Line + false + 0 + + + + + + 2834 + -7646 + 25 + 60 + + + 2848 + -7616 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + f6e9f1c3-eee4-412c-baba-b0430add3abc + true + Expression + Expression + + + + + + 2710 + -6976 + 194 + 28 + + + 2810 + -6962 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8303f00c-4b96-4759-b910-899f66742b0e + true + Variable O + O + true + 963d551b-51b2-47ee-a44a-02c105fb8854 + 1 + + + + + + 2712 + -6974 + 14 + 24 + + + 2720.5 + -6962 + + + + + + + + Result of expression + d4046849-9388-4abb-ad4b-8c2a65b66e28 + true + Result + + false + 0 + + + + + + 2893 + -6974 + 9 + 24 + + + 2899 + -6962 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 44d9ac45-165c-4030-80af-37df49237525 + true + Panel + + false + 1 + d4046849-9388-4abb-ad4b-8c2a65b66e28 + 1 + Double click to edit panel content… + + + + + + 2701 + -7269 + 214 + 271 + + 0 + 0 + 0 + + 2701.867 + -7268.153 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a8aee104-1a78-4e6f-9c6b-f240f9e79dc3 + true + Relay + + false + 44d9ac45-165c-4030-80af-37df49237525 + 1 + + + + + + 2787 + -7316 + 40 + 16 + + + 2807 + -7308 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 963d551b-51b2-47ee-a44a-02c105fb8854 + true + Relay + + false + 6234ac24-d0b0-412d-8309-3a3c0d7d470e + 1 + + + + + + 2787 + -6929 + 40 + 16 + + + 2807 + -6921 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + a010a0aa-e30f-4f91-a2a2-d90e6518b218 + true + Quick Graph + Quick Graph + false + 0 + 963d551b-51b2-47ee-a44a-02c105fb8854 + 1 + + + + + + 2732 + -7470 + 150 + 150 + + + 2732.966 + -7469.977 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + 73b7337b-7d22-476b-b538-b7ba58edd468 + true + Relative Differences + Relative Differences + + + + + + 2743 + -6840 + 128 + 28 + + + 2796 + -6826 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + f9008767-dc99-4bbc-80ec-9f00fdbe3638 + true + Values + Values + false + 8e78b602-bf7b-41ab-acd6-75e9dd78a318 + 1 + + + + + + 2745 + -6838 + 36 + 24 + + + 2764.5 + -6826 + + + + + + + + 1 + Differences between consecutive items + 86f264df-1e7e-42b2-bbf5-062c2f94d72e + true + Differenced + Differenced + false + 0 + + + + + + 2811 + -6838 + 58 + 24 + + + 2841.5 + -6826 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6234ac24-d0b0-412d-8309-3a3c0d7d470e + true + Relay + + false + 86f264df-1e7e-42b2-bbf5-062c2f94d72e + 1 + + + + + + 2787 + -6874 + 40 + 16 + + + 2807 + -6866 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2ad015b5-75aa-4327-af12-ae66b821121a + true + Relay + + false + a9078840-89ba-460d-b861-d52f705e4fb5 + 1 + + + + + + 2787 + -6733 + 40 + 16 + + + 2807 + -6725 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + fe79c4c0-7b7d-412d-9138-48cd990ffa41 + true + Replace Nulls + Replace Nulls + + + + + + 2739 + -6795 + 136 + 44 + + + 2825 + -6773 + + + + + + 1 + Items to test for null + 91ecac42-f5a5-4b03-a9df-28662d8d96b0 + true + Items + Items + false + 2ad015b5-75aa-4327-af12-ae66b821121a + 1 + + + + + + 2741 + -6793 + 69 + 20 + + + 2777 + -6783 + + + + + + + + 1 + Items to replace nulls with + 467868de-26c2-4f1f-a7ac-6f2f62ce628c + true + Replacements + Replacements + false + 0 + + + + + + 2741 + -6773 + 69 + 20 + + + 2777 + -6763 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 8e78b602-bf7b-41ab-acd6-75e9dd78a318 + true + Items + Items + false + 0 + + + + + + 2840 + -6793 + 33 + 20 + + + 2858 + -6783 + + + + + + + + Number of items replaced + 8493b36e-89a5-45ef-84f4-a49793c215a8 + true + Count + Count + false + 0 + + + + + + 2840 + -6773 + 33 + 20 + + + 2858 + -6763 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + e36e38bd-69b6-4b50-aa47-e40c3308a856 + true + Multiplication + Multiplication + + + + + + 2769 + -7533 + 82 + 44 + + + 2800 + -7511 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 06b7a419-33b2-4d8a-b837-1cdce113f55b + true + A + A + true + 963d551b-51b2-47ee-a44a-02c105fb8854 + 1 + + + + + + 2771 + -7531 + 14 + 20 + + + 2779.5 + -7521 + + + + + + + + Second item for multiplication + 9c229038-e9c6-490f-a6e4-31f6e96af3b4 + true + B + B + true + 232d4da2-850f-4939-a451-e2ac412c6f34 + 1 + + + + + + 2771 + -7511 + 14 + 20 + + + 2779.5 + -7501 + + + + + + + + Result of multiplication + eed75ede-9954-4e74-ba7c-3bd2194f1ac6 + true + Result + Result + false + 0 + + + + + + 2815 + -7531 + 34 + 40 + + + 2833.5 + -7511 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 232d4da2-850f-4939-a451-e2ac412c6f34 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 6 + + 383463.976640 + + + + + + 2679 + -7570 + 250 + 20 + + + 2679.178 + -7569.615 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 6a844a25-3a25-4592-b8bd-990161e9c483 + true + Move + Move + + + + + + 2738 + -7824 + 138 + 44 + + + 2806 + -7802 + + + + + + Base geometry + 5b63efe8-e076-4f0c-bc0b-c75f953f0de4 + true + Geometry + Geometry + true + 37fc79be-f3e4-4303-9f79-031b628eb7dc + 1 + + + + + + 2740 + -7822 + 51 + 20 + + + 2767 + -7812 + + + + + + + + Translation vector + f8ec87b4-b92d-431e-bfb8-9cc293e8b169 + true + Motion + Motion + false + 3276370e-5437-4e4d-a00b-34a267233b72 + 1 + + + + + + 2740 + -7802 + 51 + 20 + + + 2767 + -7792 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + 1ebf94f7-22a6-4eab-9980-97aba6b6bb19 + true + Geometry + Geometry + false + 0 + + + + + + 2821 + -7822 + 53 + 20 + + + 2849 + -7812 + + + + + + + + Transformation data + 1613cb01-5f0f-4f26-a5e1-07023926a0ad + true + Transform + Transform + false + 0 + + + + + + 2821 + -7802 + 53 + 20 + + + 2849 + -7792 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + f61f92f1-b10f-4586-86fa-3d41998aa56d + true + Vector XYZ + Vector XYZ + + + + + + 2729 + -7759 + 155 + 64 + + + 2830 + -7727 + + + + + + Vector {x} component + cd0e24e3-86ea-4f50-baf3-54c92ed21d6d + -X + true + X component + X component + false + 3dafff0e-0659-48ab-98e3-7c33bcf0fda5 + 1 + + + + + + 2731 + -7757 + 84 + 20 + + + 2782.5 + -7747 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + 06145659-02ed-467e-85b6-ae2cf3d98573 + true + Y component + Y component + false + 0 + + + + + + 2731 + -7737 + 84 + 20 + + + 2782.5 + -7727 + + + + + + 1 + + + + + 1 + {0} + + + + + 7 + + + + + + + + + + + Vector {z} component + afd74686-31f3-4a45-86f7-739561f2eba1 + true + Z component + Z component + false + 0 + + + + + + 2731 + -7717 + 84 + 20 + + + 2782.5 + -7707 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 3276370e-5437-4e4d-a00b-34a267233b72 + true + Vector + Vector + false + 0 + + + + + + 2845 + -7757 + 37 + 30 + + + 2865 + -7742 + + + + + + + + Vector length + 0798d4b7-6861-49a8-80df-74eece16c617 + true + Length + Length + false + 0 + + + + + + 2845 + -7727 + 37 + 30 + + + 2865 + -7712 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7fad2a3d-6b73-4fd3-b85f-cbcca0edb0e9 + f6e9f1c3-eee4-412c-baba-b0430add3abc + 44d9ac45-165c-4030-80af-37df49237525 + a8aee104-1a78-4e6f-9c6b-f240f9e79dc3 + 963d551b-51b2-47ee-a44a-02c105fb8854 + a010a0aa-e30f-4f91-a2a2-d90e6518b218 + 73b7337b-7d22-476b-b538-b7ba58edd468 + 6234ac24-d0b0-412d-8309-3a3c0d7d470e + 2ad015b5-75aa-4327-af12-ae66b821121a + fe79c4c0-7b7d-412d-9138-48cd990ffa41 + e36e38bd-69b6-4b50-aa47-e40c3308a856 + 232d4da2-850f-4939-a451-e2ac412c6f34 + 6a844a25-3a25-4592-b8bd-990161e9c483 + f61f92f1-b10f-4586-86fa-3d41998aa56d + a9078840-89ba-460d-b861-d52f705e4fb5 + 81849188-b493-4caf-b711-90072846d543 + 01de0c9e-9e9f-4576-b496-5f24525a07d9 + e6204409-8517-47d2-8bad-b618d6ba81d7 + f204596d-0539-42bc-b3c3-7a6c11f93504 + 4188728e-68e2-4d42-82f2-19bb6c40b380 + 844999aa-f0e7-431f-b0df-673861258066 + aced67d1-3056-41dd-ae2f-76dd69e0987e + 820d65ee-b16e-41e8-bf3f-4da0ede194da + 3dafff0e-0659-48ab-98e3-7c33bcf0fda5 + 24 + a2cd357f-68cc-478e-bfc9-b15dcd14bcd8 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a9078840-89ba-460d-b861-d52f705e4fb5 + true + Relay + + false + 052a3230-6371-4fd8-b081-e62dc726cb17 + 1 + + + + + + 2787 + -6699 + 40 + 16 + + + 2807 + -6691 + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + ad773b43-698a-43df-9f39-1c84baa567ca + true + Create Material + Create Material + + + + + + 2731 + 4737 + 144 + 104 + + + 2815 + 4789 + + + + + + Colour of the diffuse channel + ad67bb89-00f7-4f5d-80bb-5312e0b77548 + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + 4739 + 67 + 20 + + + 2768 + 4749 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;247;247;247 + + + + + + + + + + + + Colour of the specular highlight + beb00b3d-6cd2-45bc-8d57-b861eb1da2a7 + true + Specular + Specular + false + 0 + + + + + + 2733 + 4759 + 67 + 20 + + + 2768 + 4769 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 4a12640f-dbac-4142-a987-4363e6401952 + true + Emission + Emission + false + 0 + + + + + + 2733 + 4779 + 67 + 20 + + + 2768 + 4789 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 7f2f25cc-1741-4494-9115-acc59237030b + true + Transparency + Transparency + false + 0 + + + + + + 2733 + 4799 + 67 + 20 + + + 2768 + 4809 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 732e91ec-ef14-43b3-9c8c-ee3eff54ae40 + true + Shine + Shine + false + 0 + + + + + + 2733 + 4819 + 67 + 20 + + + 2768 + 4829 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + f82ad4a3-12a6-426d-b37d-9cba6ac96914 + true + Material + Material + false + 0 + + + + + + 2830 + 4739 + 43 + 100 + + + 2853 + 4789 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 9183d5f8-089d-4708-9f00-983f03c9f90e + true + Custom Preview + Custom Preview + + + + + + + 2762 + 4693 + 82 + 44 + + + 2830 + 4715 + + + + + + Geometry to preview + true + b65a33e6-e0ae-4a17-8c26-6a37887699d7 + true + Geometry + Geometry + false + 1a211dc6-9d12-4255-9f70-29dc0d975fda + 1 + + + + + + 2764 + 4695 + 51 + 20 + + + 2791 + 4705 + + + + + + + + The material override + 987365d5-4e94-4309-af90-c316b4fcfa7d + true + Material + Material + false + f82ad4a3-12a6-426d-b37d-9cba6ac96914 + 1 + + + + + + 2764 + 4715 + 51 + 20 + + + 2791 + 4725 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ad773b43-698a-43df-9f39-1c84baa567ca + 9183d5f8-089d-4708-9f00-983f03c9f90e + 2 + b29ac3e2-b858-44d8-acce-0fb154f6a64a + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + e606582f-8157-4dd3-9d74-b8545096f2b1 + true + Create Material + Create Material + + + + + + 2731 + 2901 + 144 + 104 + + + 2815 + 2953 + + + + + + Colour of the diffuse channel + f35f8c3b-42c1-4f8f-8bae-afa3e89c8adf + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + 2903 + 67 + 20 + + + 2768 + 2913 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;240;240;240 + + + + + + + + + + + + Colour of the specular highlight + 5ede20c4-85f8-476e-b24d-15a10ed8ec36 + true + Specular + Specular + false + 0 + + + + + + 2733 + 2923 + 67 + 20 + + + 2768 + 2933 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + d8e416fa-c61f-4474-b1cc-ed0e23dda398 + true + Emission + Emission + false + 0 + + + + + + 2733 + 2943 + 67 + 20 + + + 2768 + 2953 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + c5eaca7e-9f62-4201-8a59-2c655d613222 + true + Transparency + Transparency + false + 0 + + + + + + 2733 + 2963 + 67 + 20 + + + 2768 + 2973 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 64a96de1-9ad2-4973-b980-32a9b66896c5 + true + Shine + Shine + false + 0 + + + + + + 2733 + 2983 + 67 + 20 + + + 2768 + 2993 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 5fa6b6a9-e7b7-4492-8fb8-e076221c6ab0 + true + Material + Material + false + 0 + + + + + + 2830 + 2903 + 43 + 100 + + + 2853 + 2953 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 5a142162-4b8f-4585-967e-5ce611b2ed6b + true + Custom Preview + Custom Preview + + + + + + + 2762 + 2839 + 82 + 44 + + + 2830 + 2861 + + + + + + Geometry to preview + true + a775575b-6a9d-4faf-98e2-fcec280ac080 + true + Geometry + Geometry + false + 05694d97-021c-4a49-a1f3-e45b41b569e0 + 1 + + + + + + 2764 + 2841 + 51 + 20 + + + 2791 + 2851 + + + + + + + + The material override + 27e298d6-366b-40d7-adad-44c20aa72f49 + true + Material + Material + false + 5fa6b6a9-e7b7-4492-8fb8-e076221c6ab0 + 1 + + + + + + 2764 + 2861 + 51 + 20 + + + 2791 + 2871 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e606582f-8157-4dd3-9d74-b8545096f2b1 + 5a142162-4b8f-4585-967e-5ce611b2ed6b + 2 + e9d1dc88-7240-4c0f-bb0a-9eef2eae717d + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 55fe76bb-1b33-440c-8fc1-fe01651e8fa4 + true + Create Material + Create Material + + + + + + 2731 + 1012 + 144 + 104 + + + 2815 + 1064 + + + + + + Colour of the diffuse channel + 862ecfb4-9dce-499f-aea5-424712d104e6 + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + 1014 + 67 + 20 + + + 2768 + 1024 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;232;232;232 + + + + + + + + + + + + Colour of the specular highlight + 0cb9200c-9143-4763-a8ad-5051c5a83a76 + true + Specular + Specular + false + 0 + + + + + + 2733 + 1034 + 67 + 20 + + + 2768 + 1044 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 1f1703d7-7614-474f-82fd-f9dc460666b9 + true + Emission + Emission + false + 0 + + + + + + 2733 + 1054 + 67 + 20 + + + 2768 + 1064 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 25d1a990-b412-4b7d-a24f-9e51b52b2bae + true + Transparency + Transparency + false + 0 + + + + + + 2733 + 1074 + 67 + 20 + + + 2768 + 1084 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 365c0911-7c14-4a89-905d-b4e5075d21f9 + true + Shine + Shine + false + 0 + + + + + + 2733 + 1094 + 67 + 20 + + + 2768 + 1104 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 44e5dd6b-0761-4b9d-82ab-234494eed3da + true + Material + Material + false + 0 + + + + + + 2830 + 1014 + 43 + 100 + + + 2853 + 1064 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 686977b0-f5c0-4fd2-85ff-41e36f44e9e1 + true + Custom Preview + Custom Preview + + + + + + + 2762 + 949 + 82 + 44 + + + 2830 + 971 + + + + + + Geometry to preview + true + aca82de9-175d-4131-a4db-7b596ef9748d + true + Geometry + Geometry + false + 5c55b193-0023-4ff8-875f-0339cdcf9c91 + 1 + + + + + + 2764 + 951 + 51 + 20 + + + 2791 + 961 + + + + + + + + The material override + e34f1e18-8aa0-4179-843c-f4a0d467e743 + true + Material + Material + false + 44e5dd6b-0761-4b9d-82ab-234494eed3da + 1 + + + + + + 2764 + 971 + 51 + 20 + + + 2791 + 981 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 55fe76bb-1b33-440c-8fc1-fe01651e8fa4 + 686977b0-f5c0-4fd2-85ff-41e36f44e9e1 + 2 + e3749bf3-dd2f-4da8-826c-372b05cde1be + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + e909739f-f11a-4f63-961e-cbe23cb83593 + true + Create Material + Create Material + + + + + + 2731 + -751 + 144 + 104 + + + 2815 + -699 + + + + + + Colour of the diffuse channel + 9dfb472c-5cc8-46c1-8cd5-0f2e7a48bcda + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + -749 + 67 + 20 + + + 2768 + -739 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;224;224;224 + + + + + + + + + + + + Colour of the specular highlight + 7c307556-214d-4f71-b322-4f69ce0ab7ed + true + Specular + Specular + false + 0 + + + + + + 2733 + -729 + 67 + 20 + + + 2768 + -719 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + d19faa40-2451-47cc-a9df-b4aa836f36e1 + true + Emission + Emission + false + 0 + + + + + + 2733 + -709 + 67 + 20 + + + 2768 + -699 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + ce97aa24-ec44-4710-97d4-ac49f48d4c43 + true + Transparency + Transparency + false + 0 + + + + + + 2733 + -689 + 67 + 20 + + + 2768 + -679 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 469363af-0fc7-489b-bb94-4f8cb9e85d87 + true + Shine + Shine + false + 0 + + + + + + 2733 + -669 + 67 + 20 + + + 2768 + -659 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + ac32a6b4-fcbd-4d08-a147-a6f41fb252cd + true + Material + Material + false + 0 + + + + + + 2830 + -749 + 43 + 100 + + + 2853 + -699 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 84185437-01a9-46d2-8587-90dc91fbaeef + true + Custom Preview + Custom Preview + + + + + + + 2762 + -815 + 82 + 44 + + + 2830 + -793 + + + + + + Geometry to preview + true + 8c3a847d-108d-47cf-b9f2-b5f6ff0de7d4 + true + Geometry + Geometry + false + 2b8b5cbd-995b-42e0-af86-dd9fc7d657ca + 1 + + + + + + 2764 + -813 + 51 + 20 + + + 2791 + -803 + + + + + + + + The material override + 34a16f33-55af-4ff7-a4cb-527a6ae14d66 + true + Material + Material + false + ac32a6b4-fcbd-4d08-a147-a6f41fb252cd + 1 + + + + + + 2764 + -793 + 51 + 20 + + + 2791 + -783 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e909739f-f11a-4f63-961e-cbe23cb83593 + 84185437-01a9-46d2-8587-90dc91fbaeef + 2 + a59697d7-edbc-4983-90af-5eeb0652d3e3 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 373fcd53-e5a6-4804-a735-47b5d060439d + true + Create Material + Create Material + + + + + + 2731 + -2554 + 144 + 104 + + + 2815 + -2502 + + + + + + Colour of the diffuse channel + 6a9969b5-d39c-418a-8e41-8cea0282875f + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + -2552 + 67 + 20 + + + 2768 + -2542 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;217;217;217 + + + + + + + + + + + + Colour of the specular highlight + 08335843-7ba9-47d9-9493-8a29bff63cb3 + true + Specular + Specular + false + 0 + + + + + + 2733 + -2532 + 67 + 20 + + + 2768 + -2522 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 899d01de-bbfa-4690-8f86-695d0c4022d4 + true + Emission + Emission + false + 0 + + + + + + 2733 + -2512 + 67 + 20 + + + 2768 + -2502 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + f0338b96-2125-4c44-a2ae-0427c3c7b14b + true + Transparency + Transparency + false + 0 + + + + + + 2733 + -2492 + 67 + 20 + + + 2768 + -2482 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + a8fd779b-1d35-4470-8506-63f134c77f35 + true + Shine + Shine + false + 0 + + + + + + 2733 + -2472 + 67 + 20 + + + 2768 + -2462 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 72d97efc-127d-43bd-8b96-346c9d2de708 + true + Material + Material + false + 0 + + + + + + 2830 + -2552 + 43 + 100 + + + 2853 + -2502 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 488f27d6-7474-41e8-8662-7a97ae90ccac + true + Custom Preview + Custom Preview + + + + + + + 2762 + -2616 + 82 + 44 + + + 2830 + -2594 + + + + + + Geometry to preview + true + 2499e526-3d53-41ff-a140-6b6ed3766d97 + true + Geometry + Geometry + false + 124d9bdf-ab24-4fa1-acfd-0f24e78ae4f3 + 1 + + + + + + 2764 + -2614 + 51 + 20 + + + 2791 + -2604 + + + + + + + + The material override + a9864782-8162-46a4-bd26-08eb8495c635 + true + Material + Material + false + 72d97efc-127d-43bd-8b96-346c9d2de708 + 1 + + + + + + 2764 + -2594 + 51 + 20 + + + 2791 + -2584 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 373fcd53-e5a6-4804-a735-47b5d060439d + 488f27d6-7474-41e8-8662-7a97ae90ccac + 2 + ee5c627c-1bb9-411b-8539-5f5cfd653e05 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 2c8dd4d6-85ae-4307-8e6b-7e1cb32cc6e4 + true + Create Material + Create Material + + + + + + 2735 + -4347 + 144 + 104 + + + 2819 + -4295 + + + + + + Colour of the diffuse channel + e8083e49-d8fc-43e7-9e13-90196d88fd22 + true + Diffuse + Diffuse + false + 0 + + + + + + 2737 + -4345 + 67 + 20 + + + 2772 + -4335 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;209;209;209 + + + + + + + + + + + + Colour of the specular highlight + 4c6d451b-8ce0-4895-8840-6333f6417f8f + true + Specular + Specular + false + 0 + + + + + + 2737 + -4325 + 67 + 20 + + + 2772 + -4315 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + e5b83aa7-e213-4918-8fc2-73636ee06c40 + true + Emission + Emission + false + 0 + + + + + + 2737 + -4305 + 67 + 20 + + + 2772 + -4295 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 10ac19be-3776-44e0-8533-cd25d50459ba + true + Transparency + Transparency + false + 0 + + + + + + 2737 + -4285 + 67 + 20 + + + 2772 + -4275 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + ebbfcc4f-ddad-4d5c-96d5-7b5091ab9879 + true + Shine + Shine + false + 0 + + + + + + 2737 + -4265 + 67 + 20 + + + 2772 + -4255 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + f555af9a-1db5-40bd-b0e7-18bede30614a + true + Material + Material + false + 0 + + + + + + 2834 + -4345 + 43 + 100 + + + 2857 + -4295 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 4c5340f4-b6ee-4d02-9738-f4534ec1d02d + true + Custom Preview + Custom Preview + + + + + + + 2766 + -4409 + 82 + 44 + + + 2834 + -4387 + + + + + + Geometry to preview + true + ea4e91dd-40e4-42d0-af6a-a4a80637f782 + true + Geometry + Geometry + false + 2c9695ba-b315-4f78-85cd-abc3b3a78187 + 1 + + + + + + 2768 + -4407 + 51 + 20 + + + 2795 + -4397 + + + + + + + + The material override + 910ce2f8-54a6-4c8f-a029-1ce8ebd6a538 + true + Material + Material + false + f555af9a-1db5-40bd-b0e7-18bede30614a + 1 + + + + + + 2768 + -4387 + 51 + 20 + + + 2795 + -4377 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2c8dd4d6-85ae-4307-8e6b-7e1cb32cc6e4 + 4c5340f4-b6ee-4d02-9738-f4534ec1d02d + 2 + 3a1806c9-f1d1-40d4-b0c3-ba40727c7574 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + c60b7d8a-b3ae-4380-9450-58ceb8ae5a6c + true + Create Material + Create Material + + + + + + 2736 + -6147 + 144 + 104 + + + 2820 + -6095 + + + + + + Colour of the diffuse channel + ffc5fc26-df97-4628-815d-1fbc69bbd8ce + true + Diffuse + Diffuse + false + 0 + + + + + + 2738 + -6145 + 67 + 20 + + + 2773 + -6135 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;201;201;201 + + + + + + + + + + + + Colour of the specular highlight + b4555e19-48b9-489f-9ede-b276df8e0ff5 + true + Specular + Specular + false + 0 + + + + + + 2738 + -6125 + 67 + 20 + + + 2773 + -6115 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + c2c70153-07dc-4b02-af76-d2a542ff3409 + true + Emission + Emission + false + 0 + + + + + + 2738 + -6105 + 67 + 20 + + + 2773 + -6095 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + d03ba336-d7ca-4b3d-8da3-5ce5393a2382 + true + Transparency + Transparency + false + 0 + + + + + + 2738 + -6085 + 67 + 20 + + + 2773 + -6075 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + b6c078d2-b806-4fe1-bd6c-38262eb48030 + true + Shine + Shine + false + 0 + + + + + + 2738 + -6065 + 67 + 20 + + + 2773 + -6055 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + d036ce0d-4e57-4466-9ee5-b83c97c296ec + true + Material + Material + false + 0 + + + + + + 2835 + -6145 + 43 + 100 + + + 2858 + -6095 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 91d19239-fa22-43d8-9328-a5aaa83c29d0 + true + Custom Preview + Custom Preview + + + + + + + 2767 + -6210 + 82 + 44 + + + 2835 + -6188 + + + + + + Geometry to preview + true + 569d8839-4b6e-4511-a163-061f73b0c2c3 + true + Geometry + Geometry + false + 6887d1d4-79dc-484f-ba0b-cbc72eeea403 + 1 + + + + + + 2769 + -6208 + 51 + 20 + + + 2796 + -6198 + + + + + + + + The material override + 64463d3f-5ebe-4484-b8dd-78af72c4c971 + true + Material + Material + false + d036ce0d-4e57-4466-9ee5-b83c97c296ec + 1 + + + + + + 2769 + -6188 + 51 + 20 + + + 2796 + -6178 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c60b7d8a-b3ae-4380-9450-58ceb8ae5a6c + 91d19239-fa22-43d8-9328-a5aaa83c29d0 + 2 + c85fbe40-8c7e-4798-9c91-10dc94e3ce94 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 81849188-b493-4caf-b711-90072846d543 + true + Create Material + Create Material + + + + + + 2735 + -7983 + 144 + 104 + + + 2819 + -7931 + + + + + + Colour of the diffuse channel + d45cbd41-93f0-467f-9696-2a9b3bf4f447 + true + Diffuse + Diffuse + false + 0 + + + + + + 2737 + -7981 + 67 + 20 + + + 2772 + -7971 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;194;194;194 + + + + + + + + + + + + Colour of the specular highlight + 916b1084-e922-49cc-961b-81818ef69fbb + true + Specular + Specular + false + 0 + + + + + + 2737 + -7961 + 67 + 20 + + + 2772 + -7951 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + d9c3425f-35ce-4ad2-bc04-7a7b6ad0c5b4 + true + Emission + Emission + false + 0 + + + + + + 2737 + -7941 + 67 + 20 + + + 2772 + -7931 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 1c04e62d-869e-4a43-bcc2-30f8bbd4de45 + true + Transparency + Transparency + false + 0 + + + + + + 2737 + -7921 + 67 + 20 + + + 2772 + -7911 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 6e7e40e6-3813-481e-9ca1-fb96e8f08a64 + true + Shine + Shine + false + 0 + + + + + + 2737 + -7901 + 67 + 20 + + + 2772 + -7891 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + e5f7b402-d467-469c-9339-523875c835c0 + true + Material + Material + false + 0 + + + + + + 2834 + -7981 + 43 + 100 + + + 2857 + -7931 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 01de0c9e-9e9f-4576-b496-5f24525a07d9 + true + Custom Preview + Custom Preview + + + + + + + 2766 + -8045 + 82 + 44 + + + 2834 + -8023 + + + + + + Geometry to preview + true + 393f6e0a-5bf5-4d57-9dd9-5769e8b30001 + true + Geometry + Geometry + false + 1ebf94f7-22a6-4eab-9980-97aba6b6bb19 + 1 + + + + + + 2768 + -8043 + 51 + 20 + + + 2795 + -8033 + + + + + + + + The material override + dbbfe754-3ecd-4a4b-b535-cc9392f3c940 + true + Material + Material + false + e5f7b402-d467-469c-9339-523875c835c0 + 1 + + + + + + 2768 + -8023 + 51 + 20 + + + 2795 + -8013 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 81849188-b493-4caf-b711-90072846d543 + 01de0c9e-9e9f-4576-b496-5f24525a07d9 + 2 + e6204409-8517-47d2-8bad-b618d6ba81d7 + Group + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 176808cf-6dbb-4465-91a4-587fdbff58b1 + true + Line SDL + Line SDL + + + + + + 2774 + -9468 + 106 + 64 + + + 2838 + -9436 + + + + + + Line start point + 0f7ccecc-e0e9-4c5a-a5c2-37b6a1c89f94 + true + Start + Start + false + b2222aa6-f808-4c29-97c4-6993cf20b4b3 + 1 + + + + + + 2776 + -9466 + 47 + 20 + + + 2801 + -9456 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 2dd18fad-fe56-49af-8d7c-ff770b16d28b + true + Direction + Direction + false + 0 + + + + + + 2776 + -9446 + 47 + 20 + + + 2801 + -9436 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + d6a94cb8-a1d9-487a-b7d4-86174377d65a + true + Length + Length + false + 363c1268-91ff-471d-af28-65ce38ad48b5 + 1 + + + + + + 2776 + -9426 + 47 + 20 + + + 2801 + -9416 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 3c7fbaad-3a66-4e9b-aa4a-1700eda029b9 + true + Line + Line + false + 0 + + + + + + 2853 + -9466 + 25 + 60 + + + 2867 + -9436 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 689496b4-7709-4277-b48e-e5e34601568a + true + Expression + Expression + + + + + + 2709 + -8809 + 194 + 28 + + + 2809 + -8795 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f7006f73-3992-4384-8c5d-3ba2718bac56 + true + Variable O + O + true + 1e4b2379-a416-4225-8721-480e7d2eb297 + 1 + + + + + + 2711 + -8807 + 14 + 24 + + + 2719.5 + -8795 + + + + + + + + Result of expression + 3e3dadbe-dd8a-4bc6-8678-a7a7dc8a7cc3 + true + Result + + false + 0 + + + + + + 2892 + -8807 + 9 + 24 + + + 2898 + -8795 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d55c439b-a720-4f39-ad97-9b9e49606d02 + true + Panel + + false + 1 + 3e3dadbe-dd8a-4bc6-8678-a7a7dc8a7cc3 + 1 + Double click to edit panel content… + + + + + + 2701 + -9102 + 214 + 271 + + 0 + 0 + 0 + + 2701.036 + -9101.007 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 1e81bf43-4be8-4eb1-864b-95a258d57f2f + true + Relay + + false + d55c439b-a720-4f39-ad97-9b9e49606d02 + 1 + + + + + + 2786 + -9148 + 40 + 16 + + + 2806 + -9140 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 1e4b2379-a416-4225-8721-480e7d2eb297 + true + Relay + + false + 5964343a-531a-40e7-a7bd-a34379601d4d + 1 + + + + + + 2786 + -8761 + 40 + 16 + + + 2806 + -8753 + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + bede73fe-828b-4f54-b263-8945e4b41bc3 + true + Quick Graph + Quick Graph + false + 0 + 1e4b2379-a416-4225-8721-480e7d2eb297 + 1 + + + + + + 2733 + -9303 + 150 + 150 + + + 2733.136 + -9302.829 + + 0 + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + true + c0a3dcb9-bca7-4fc5-9bb1-7cd02527dbdb + true + Relative Differences + Relative Differences + + + + + + 2742 + -8672 + 128 + 28 + + + 2795 + -8658 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + d846ee0d-8e0d-4df8-bb11-e468fa4098bb + true + Values + Values + false + d1b21b3f-8f9f-4bd0-adb1-cef864d42fa1 + 1 + + + + + + 2744 + -8670 + 36 + 24 + + + 2763.5 + -8658 + + + + + + + + 1 + Differences between consecutive items + ecc1e601-f24b-4ebc-8c0f-4439786d6f00 + true + Differenced + Differenced + false + 0 + + + + + + 2810 + -8670 + 58 + 24 + + + 2840.5 + -8658 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 5964343a-531a-40e7-a7bd-a34379601d4d + true + Relay + + false + ecc1e601-f24b-4ebc-8c0f-4439786d6f00 + 1 + + + + + + 2786 + -8706 + 40 + 16 + + + 2806 + -8698 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 647a4b7c-cdbf-40b6-bf44-e74b0d6bcdbb + true + Relay + + false + 601aa3b6-34d0-4a75-9712-3a105ed8c617 + 1 + + + + + + 2786 + -8565 + 40 + 16 + + + 2806 + -8557 + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 70057e17-ddee-4825-99e2-ea1ec62f02db + true + Replace Nulls + Replace Nulls + + + + + + 2738 + -8627 + 136 + 44 + + + 2824 + -8605 + + + + + + 1 + Items to test for null + 5fe79787-3412-49fd-9e00-13330f43ed85 + true + Items + Items + false + 647a4b7c-cdbf-40b6-bf44-e74b0d6bcdbb + 1 + + + + + + 2740 + -8625 + 69 + 20 + + + 2776 + -8615 + + + + + + + + 1 + Items to replace nulls with + 28f7a17d-7b5f-44cf-ab0b-c58199dec7ac + true + Replacements + Replacements + false + 0 + + + + + + 2740 + -8605 + 69 + 20 + + + 2776 + -8595 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + d1b21b3f-8f9f-4bd0-adb1-cef864d42fa1 + true + Items + Items + false + 0 + + + + + + 2839 + -8625 + 33 + 20 + + + 2857 + -8615 + + + + + + + + Number of items replaced + d57bd584-4a69-4286-91fb-6cf3c15a06ef + true + Count + Count + false + 0 + + + + + + 2839 + -8605 + 33 + 20 + + + 2857 + -8595 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 486b6841-9208-4a69-a5aa-9c08bdef0dcf + true + Multiplication + Multiplication + + + + + + 2777 + -9364 + 82 + 44 + + + 2808 + -9342 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 2307e579-998d-4f07-9d0e-c42c822c05fb + true + A + A + true + 1e4b2379-a416-4225-8721-480e7d2eb297 + 1 + + + + + + 2779 + -9362 + 14 + 20 + + + 2787.5 + -9352 + + + + + + + + Second item for multiplication + 20fd6e60-24ce-4425-b4f2-1e331622ea1b + true + B + B + true + 30dcb29a-3032-4f08-be32-c0d9d2fcefb5 + 1 + + + + + + 2779 + -9342 + 14 + 20 + + + 2787.5 + -9332 + + + + + + + + Result of multiplication + 363c1268-91ff-471d-af28-65ce38ad48b5 + true + Result + Result + false + 0 + + + + + + 2823 + -9362 + 34 + 40 + + + 2841.5 + -9342 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 30dcb29a-3032-4f08-be32-c0d9d2fcefb5 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 7 + + 2183007.89888 + + + + + + 2688 + -9384 + 250 + 20 + + + 2688.392 + -9383.671 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 6438715f-b0fd-4b4e-9310-90c8dc88eed7 + true + Move + Move + + + + + + 2742 + -9656 + 138 + 44 + + + 2810 + -9634 + + + + + + Base geometry + 2940cc7e-bea0-49cb-9092-38052325b555 + true + Geometry + Geometry + true + 3c7fbaad-3a66-4e9b-aa4a-1700eda029b9 + 1 + + + + + + 2744 + -9654 + 51 + 20 + + + 2771 + -9644 + + + + + + + + Translation vector + ac17c328-5da0-4fe0-944f-7eda470ed7e5 + true + Motion + Motion + false + ad7160db-5a22-4671-b943-afdf62fc6dfa + 1 + + + + + + 2744 + -9634 + 51 + 20 + + + 2771 + -9624 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 10 + + + + + + + + + + + + Translated geometry + a5bf42cc-02c5-44fd-830f-c8fe1aab6b5a + true + Geometry + Geometry + false + 0 + + + + + + 2825 + -9654 + 53 + 20 + + + 2853 + -9644 + + + + + + + + Transformation data + 28681979-1747-4c79-8901-2aa89c3702d7 + true + Transform + Transform + false + 0 + + + + + + 2825 + -9634 + 53 + 20 + + + 2853 + -9624 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 78ea33a1-9827-433a-be36-4e7b57a05958 + true + Vector XYZ + Vector XYZ + + + + + + 2728 + -9591 + 155 + 64 + + + 2829 + -9559 + + + + + + Vector {x} component + a4403a75-80a5-4b9b-9744-7ae1fd69dadd + -X + true + X component + X component + false + a5231a70-f4f4-4b81-9867-e1428a4b482a + 1 + + + + + + 2730 + -9589 + 84 + 20 + + + 2781.5 + -9579 + + + + + + 1 + + + + + 1 + {0} + + + + + -1 + + + + + + + + + + + Vector {y} component + d927ae3d-fdf3-4174-bf3e-990487df0fcd + true + Y component + Y component + false + 0 + + + + + + 2730 + -9569 + 84 + 20 + + + 2781.5 + -9559 + + + + + + 1 + + + + + 1 + {0} + + + + + 8 + + + + + + + + + + + Vector {z} component + b218b573-f5ec-4514-a850-f7ad760fc03d + true + Z component + Z component + false + 0 + + + + + + 2730 + -9549 + 84 + 20 + + + 2781.5 + -9539 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + ad7160db-5a22-4671-b943-afdf62fc6dfa + true + Vector + Vector + false + 0 + + + + + + 2844 + -9589 + 37 + 30 + + + 2864 + -9574 + + + + + + + + Vector length + 5ddbae44-47e6-45a8-b8fe-0e204073488f + true + Length + Length + false + 0 + + + + + + 2844 + -9559 + 37 + 30 + + + 2864 + -9544 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 176808cf-6dbb-4465-91a4-587fdbff58b1 + 689496b4-7709-4277-b48e-e5e34601568a + d55c439b-a720-4f39-ad97-9b9e49606d02 + 1e81bf43-4be8-4eb1-864b-95a258d57f2f + 1e4b2379-a416-4225-8721-480e7d2eb297 + bede73fe-828b-4f54-b263-8945e4b41bc3 + c0a3dcb9-bca7-4fc5-9bb1-7cd02527dbdb + 5964343a-531a-40e7-a7bd-a34379601d4d + 647a4b7c-cdbf-40b6-bf44-e74b0d6bcdbb + 70057e17-ddee-4825-99e2-ea1ec62f02db + 486b6841-9208-4a69-a5aa-9c08bdef0dcf + 30dcb29a-3032-4f08-be32-c0d9d2fcefb5 + 6438715f-b0fd-4b4e-9310-90c8dc88eed7 + 78ea33a1-9827-433a-be36-4e7b57a05958 + 601aa3b6-34d0-4a75-9712-3a105ed8c617 + fd693eb3-3cfe-4cd3-b0ef-0ce2b455d741 + e1e086c6-b972-4c75-b268-a004ac8a9dd2 + 360d26a9-188d-4a04-ab85-c54f876af341 + 849853a5-9fa1-44dc-a6cb-6a6bd83c05a7 + db4363b4-d574-4300-84c6-5450a67bacc0 + a72749a1-3b33-4ce0-9980-144fc2c4dfd6 + d890eaf4-c21c-45e8-ac03-75c58ccbdf99 + 717103e5-0ed1-4969-ae88-8af3c23de426 + a5231a70-f4f4-4b81-9867-e1428a4b482a + 24 + 11c51077-c738-44ff-b97c-c70596e4a90c + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 601aa3b6-34d0-4a75-9712-3a105ed8c617 + true + Relay + + false + 963d551b-51b2-47ee-a44a-02c105fb8854 + 1 + + + + + + 2786 + -8531 + 40 + 16 + + + 2806 + -8523 + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + fd693eb3-3cfe-4cd3-b0ef-0ce2b455d741 + true + Create Material + Create Material + + + + + + 2734 + -9815 + 144 + 104 + + + 2818 + -9763 + + + + + + Colour of the diffuse channel + b174bc38-cf40-4d69-ba60-9f514adbf386 + true + Diffuse + Diffuse + false + 0 + + + + + + 2736 + -9813 + 67 + 20 + + + 2771 + -9803 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;186;186;186 + + + + + + + + + + + + Colour of the specular highlight + 157d70e8-95da-47f3-a47d-565655495fb6 + true + Specular + Specular + false + 0 + + + + + + 2736 + -9793 + 67 + 20 + + + 2771 + -9783 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + ca2b9cd2-ba13-4a55-b373-e503d5fc893f + true + Emission + Emission + false + 0 + + + + + + 2736 + -9773 + 67 + 20 + + + 2771 + -9763 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 5001bf57-64e1-4f1d-8c22-c98e35203217 + true + Transparency + Transparency + false + 0 + + + + + + 2736 + -9753 + 67 + 20 + + + 2771 + -9743 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 8a3823d8-a7cf-4ed3-b142-693eb42ead70 + true + Shine + Shine + false + 0 + + + + + + 2736 + -9733 + 67 + 20 + + + 2771 + -9723 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 5e878f84-d64f-488e-9c2b-cf28add842a9 + true + Material + Material + false + 0 + + + + + + 2833 + -9813 + 43 + 100 + + + 2856 + -9763 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + e1e086c6-b972-4c75-b268-a004ac8a9dd2 + true + Custom Preview + Custom Preview + + + + + + + 2765 + -9877 + 82 + 44 + + + 2833 + -9855 + + + + + + Geometry to preview + true + c07540f6-ca1c-4703-90c1-dd0c7c7be7c5 + true + Geometry + Geometry + false + a5bf42cc-02c5-44fd-830f-c8fe1aab6b5a + 1 + + + + + + 2767 + -9875 + 51 + 20 + + + 2794 + -9865 + + + + + + + + The material override + c497aebf-b647-4b79-8e5e-87d73179f881 + true + Material + Material + false + 5e878f84-d64f-488e-9c2b-cf28add842a9 + 1 + + + + + + 2767 + -9855 + 51 + 20 + + + 2794 + -9845 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + fd693eb3-3cfe-4cd3-b0ef-0ce2b455d741 + e1e086c6-b972-4c75-b268-a004ac8a9dd2 + 2 + 360d26a9-188d-4a04-ab85-c54f876af341 + Group + + + + + + + + + + + 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 + 28b8e0ed-0e44-4505-b866-bab948ef8584 + true + Evaluate Length + Evaluate Length + + + + + + 2731 + 4593 + 144 + 64 + + + 2805 + 4625 + + + + + + Curve to evaluate + caf28ead-e3d6-40a7-91e8-d4e36841eee5 + true + Curve + Curve + false + 1a211dc6-9d12-4255-9f70-29dc0d975fda + 1 + + + + + + 2733 + 4595 + 57 + 20 + + + 2763 + 4605 + + + + + + + + Length factor for curve evaluation + d8829370-f071-42b1-9ddc-5b2dfb1c1762 + true + Length + Length + false + 0 + + + + + + 2733 + 4615 + 57 + 20 + + + 2763 + 4625 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 388410ea-9e9d-4ae1-a9fb-62980d055bc9 + true + Normalized + Normalized + false + 0 + + + + + + 2733 + 4635 + 57 + 20 + + + 2763 + 4645 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 46a8ffb0-0a6f-4f4a-af17-85da32781c16 + true + Point + Point + false + 0 + + + + + + 2820 + 4595 + 53 + 20 + + + 2848 + 4605 + + + + + + + + Tangent vector at the specified length + 7f8394c2-2c0f-4b2c-802d-b0a8d128058e + true + Tangent + Tangent + false + 0 + + + + + + 2820 + 4615 + 53 + 20 + + + 2848 + 4625 + + + + + + + + Curve parameter at the specified length + b25e0766-e715-4b8d-9025-3e1aa0905b22 + true + Parameter + Parameter + false + 0 + + + + + + 2820 + 4635 + 53 + 20 + + + 2848 + 4645 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 50d6ea62-1933-4585-80ec-e31ffe7454f9 + true + Interpolate + Interpolate + + + + + + 2740 + 4489 + 125 + 84 + + + 2807 + 4531 + + + + + + 1 + Interpolation points + b93cec8f-3919-43b3-9986-4220621f67e9 + true + Vertices + Vertices + false + 46a8ffb0-0a6f-4f4a-af17-85da32781c16 + 1 + + + + + + 2742 + 4491 + 50 + 20 + + + 2768.5 + 4501 + + + + + + + + Curve degree + 4d2826ec-8084-4c8d-9464-ad0a8136d22f + true + Degree + Degree + false + 0 + + + + + + 2742 + 4511 + 50 + 20 + + + 2768.5 + 4521 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + d93bb10c-7eff-4cd2-be7f-d56be052b3fa + true + Periodic + Periodic + false + 0 + + + + + + 2742 + 4531 + 50 + 20 + + + 2768.5 + 4541 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + a166b497-32cf-4d01-a3d6-ac10edf23528 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2742 + 4551 + 50 + 20 + + + 2768.5 + 4561 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 4b3e0cfc-1bf6-4465-bf99-c5f0e54e134f + true + Curve + Curve + false + 0 + + + + + + 2822 + 4491 + 41 + 26 + + + 2844 + 4504.333 + + + + + + + + Curve length + 8c5df789-be84-4bba-93f8-9bea1a4d81e1 + true + Length + Length + false + 0 + + + + + + 2822 + 4517 + 41 + 27 + + + 2844 + 4531 + + + + + + + + Curve domain + c8ce1e91-9a93-4efe-be71-781d6411bb46 + true + Domain + Domain + false + 0 + + + + + + 2822 + 4544 + 41 + 27 + + + 2844 + 4557.667 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 0a876c89-ef58-450e-ae46-5d661fc98802 + true + Create Material + Create Material + + + + + + 2731 + 4366 + 144 + 104 + + + 2815 + 4418 + + + + + + Colour of the diffuse channel + 187535bd-483f-4359-9955-cbaa80c28dfe + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + 4368 + 67 + 20 + + + 2768 + 4378 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;222;222;222 + + + + + + + + + + + + Colour of the specular highlight + 49a9589c-7e26-4199-b47f-2d628b0107f6 + true + Specular + Specular + false + 0 + + + + + + 2733 + 4388 + 67 + 20 + + + 2768 + 4398 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 59201c17-3176-4c8e-898b-9cbcc204db7c + true + Emission + Emission + false + 0 + + + + + + 2733 + 4408 + 67 + 20 + + + 2768 + 4418 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 11cabf8f-8e8e-411f-ab2d-5b57498b3f3b + true + Transparency + Transparency + false + 0 + + + + + + 2733 + 4428 + 67 + 20 + + + 2768 + 4438 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 6401c554-d3e2-4643-b23c-9ae4e5cbb028 + true + Shine + Shine + false + 0 + + + + + + 2733 + 4448 + 67 + 20 + + + 2768 + 4458 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 9962f537-c0cf-46f4-a78e-ecdfe3901837 + true + Material + Material + false + 0 + + + + + + 2830 + 4368 + 43 + 100 + + + 2853 + 4418 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 232fb359-d2a7-4c55-92a5-fe7f34103c48 + true + Custom Preview + Custom Preview + + + + + + + 2762 + 4304 + 82 + 44 + + + 2830 + 4326 + + + + + + Geometry to preview + true + bd1a9e35-6632-4962-8e54-90d44cf1addf + true + Geometry + Geometry + false + 4b3e0cfc-1bf6-4465-bf99-c5f0e54e134f + 1 + + + + + + 2764 + 4306 + 51 + 20 + + + 2791 + 4316 + + + + + + + + The material override + a854219f-c8b6-4b07-a2d4-326ff44a5612 + true + Material + Material + false + 9962f537-c0cf-46f4-a78e-ecdfe3901837 + 1 + + + + + + 2764 + 4326 + 51 + 20 + + + 2791 + 4336 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0a876c89-ef58-450e-ae46-5d661fc98802 + 232fb359-d2a7-4c55-92a5-fe7f34103c48 + 2 + a8c2d2b8-7793-472a-add0-5c6add577a3e + Group + + + + + + + + + + + 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 + 0119e2c8-ab78-45ad-b993-71b743e8bc99 + true + Evaluate Length + Evaluate Length + + + + + + 2731 + 2756 + 144 + 64 + + + 2805 + 2788 + + + + + + Curve to evaluate + 3333f64c-2af5-44de-a880-e2fc7a1228ce + true + Curve + Curve + false + 05694d97-021c-4a49-a1f3-e45b41b569e0 + 1 + + + + + + 2733 + 2758 + 57 + 20 + + + 2763 + 2768 + + + + + + + + Length factor for curve evaluation + 35823d4a-07d6-45ea-bbae-4d969549a7b7 + true + Length + Length + false + 0 + + + + + + 2733 + 2778 + 57 + 20 + + + 2763 + 2788 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 673a3038-d415-4c1c-9d51-997cb4db2b4f + true + Normalized + Normalized + false + 0 + + + + + + 2733 + 2798 + 57 + 20 + + + 2763 + 2808 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + da6e1a4f-7342-4c2d-ba53-b75ff40d63bb + true + Point + Point + false + 0 + + + + + + 2820 + 2758 + 53 + 20 + + + 2848 + 2768 + + + + + + + + Tangent vector at the specified length + 10c424d1-9914-425e-b107-92859d7f8413 + true + Tangent + Tangent + false + 0 + + + + + + 2820 + 2778 + 53 + 20 + + + 2848 + 2788 + + + + + + + + Curve parameter at the specified length + c7495475-a113-4d0b-a2c5-244c8b3d82e3 + true + Parameter + Parameter + false + 0 + + + + + + 2820 + 2798 + 53 + 20 + + + 2848 + 2808 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + aad5e89f-1689-4ac6-8192-4f4373cbea4f + true + Interpolate + Interpolate + + + + + + 2740 + 2652 + 125 + 84 + + + 2807 + 2694 + + + + + + 1 + Interpolation points + 5b853f36-6ff2-4cab-932b-1fc49f517c99 + true + Vertices + Vertices + false + da6e1a4f-7342-4c2d-ba53-b75ff40d63bb + 1 + + + + + + 2742 + 2654 + 50 + 20 + + + 2768.5 + 2664 + + + + + + + + Curve degree + 3e0c70d2-c5ae-4d39-9aed-b0b3540f767b + true + Degree + Degree + false + 0 + + + + + + 2742 + 2674 + 50 + 20 + + + 2768.5 + 2684 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 0b0227db-9aeb-4899-b796-20910564fc8b + true + Periodic + Periodic + false + 0 + + + + + + 2742 + 2694 + 50 + 20 + + + 2768.5 + 2704 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 74c0b564-26ac-4175-af76-eed0523089d3 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2742 + 2714 + 50 + 20 + + + 2768.5 + 2724 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 2fda8a5c-a335-4f9c-b920-73287d3f5422 + true + Curve + Curve + false + 0 + + + + + + 2822 + 2654 + 41 + 26 + + + 2844 + 2667.333 + + + + + + + + Curve length + a352c05d-0573-4dc9-ae04-191182727d3c + true + Length + Length + false + 0 + + + + + + 2822 + 2680 + 41 + 27 + + + 2844 + 2694 + + + + + + + + Curve domain + b744393d-0624-4eaa-87c1-50dd3b860c51 + true + Domain + Domain + false + 0 + + + + + + 2822 + 2707 + 41 + 27 + + + 2844 + 2720.667 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 1fc6e624-7c49-41f9-becf-1b629588cf31 + true + Create Material + Create Material + + + + + + 2731 + 2529 + 144 + 104 + + + 2815 + 2581 + + + + + + Colour of the diffuse channel + e1eb9e3a-f03b-4fc0-a345-5991dc5820ae + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + 2531 + 67 + 20 + + + 2768 + 2541 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;214;214;214 + + + + + + + + + + + + Colour of the specular highlight + 9a84ad35-7dd9-4846-81bb-43c14ea38c15 + true + Specular + Specular + false + 0 + + + + + + 2733 + 2551 + 67 + 20 + + + 2768 + 2561 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + f667f166-c5fd-4a9c-8714-b482f16d0c90 + true + Emission + Emission + false + 0 + + + + + + 2733 + 2571 + 67 + 20 + + + 2768 + 2581 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + a6a79189-a0df-48b8-a360-cbbf5e96e255 + true + Transparency + Transparency + false + 0 + + + + + + 2733 + 2591 + 67 + 20 + + + 2768 + 2601 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 0ff4fbe8-f24f-4914-bbb0-03354dc14eef + true + Shine + Shine + false + 0 + + + + + + 2733 + 2611 + 67 + 20 + + + 2768 + 2621 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 66a9c6af-38bc-4d3f-a19d-af81e5ae48cf + true + Material + Material + false + 0 + + + + + + 2830 + 2531 + 43 + 100 + + + 2853 + 2581 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 3198adc1-4a36-4f37-aea4-eff18ec21c4b + true + Custom Preview + Custom Preview + + + + + + + 2762 + 2467 + 82 + 44 + + + 2830 + 2489 + + + + + + Geometry to preview + true + 326eedbe-9d1d-46a7-a68a-5de5a0ca6a5c + true + Geometry + Geometry + false + 2fda8a5c-a335-4f9c-b920-73287d3f5422 + 1 + + + + + + 2764 + 2469 + 51 + 20 + + + 2791 + 2479 + + + + + + + + The material override + ec27fd3b-058e-4ef3-aeee-d5ab782d682f + true + Material + Material + false + 66a9c6af-38bc-4d3f-a19d-af81e5ae48cf + 1 + + + + + + 2764 + 2489 + 51 + 20 + + + 2791 + 2499 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1fc6e624-7c49-41f9-becf-1b629588cf31 + 3198adc1-4a36-4f37-aea4-eff18ec21c4b + 2 + ea9452ce-f391-4a3d-9fb3-f180e8edf584 + Group + + + + + + + + + + + 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 + d37fe9ae-0bf0-4e5b-b780-b8ffbbe9b87b + true + Evaluate Length + Evaluate Length + + + + + + 2731 + 865 + 144 + 64 + + + 2805 + 897 + + + + + + Curve to evaluate + 07060f14-c6ce-415a-a7e3-26d336871d87 + true + Curve + Curve + false + 5c55b193-0023-4ff8-875f-0339cdcf9c91 + 1 + + + + + + 2733 + 867 + 57 + 20 + + + 2763 + 877 + + + + + + + + Length factor for curve evaluation + 4c3318bf-fa32-4624-b087-ed4c29ce7d2f + true + Length + Length + false + 0 + + + + + + 2733 + 887 + 57 + 20 + + + 2763 + 897 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 052a21ce-a9b3-4784-8d47-3d5f0cb90e27 + true + Normalized + Normalized + false + 0 + + + + + + 2733 + 907 + 57 + 20 + + + 2763 + 917 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 4837c179-4459-4b6b-a179-288feb8ea049 + true + Point + Point + false + 0 + + + + + + 2820 + 867 + 53 + 20 + + + 2848 + 877 + + + + + + + + Tangent vector at the specified length + cc1c29d8-f214-4102-b61e-af2010d2d1bf + true + Tangent + Tangent + false + 0 + + + + + + 2820 + 887 + 53 + 20 + + + 2848 + 897 + + + + + + + + Curve parameter at the specified length + 3bafbba0-e362-4f44-8749-bad014c79515 + true + Parameter + Parameter + false + 0 + + + + + + 2820 + 907 + 53 + 20 + + + 2848 + 917 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 66bf7298-94f5-4b70-9e91-e530523ea15e + true + Interpolate + Interpolate + + + + + + 2740 + 761 + 125 + 84 + + + 2807 + 803 + + + + + + 1 + Interpolation points + 3d9ce99d-7c33-4373-a86d-f6dd7ff0603d + true + Vertices + Vertices + false + 4837c179-4459-4b6b-a179-288feb8ea049 + 1 + + + + + + 2742 + 763 + 50 + 20 + + + 2768.5 + 773 + + + + + + + + Curve degree + ec9a5bc7-e43a-40c0-86d2-b330c682b730 + true + Degree + Degree + false + 0 + + + + + + 2742 + 783 + 50 + 20 + + + 2768.5 + 793 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + e17b9f44-b3f9-47d6-bcb3-639799270b83 + true + Periodic + Periodic + false + 0 + + + + + + 2742 + 803 + 50 + 20 + + + 2768.5 + 813 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + c1f91afb-9db6-4499-b567-2397b7e769ec + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2742 + 823 + 50 + 20 + + + 2768.5 + 833 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 16088e98-5016-47cf-9e06-33de8403752e + true + Curve + Curve + false + 0 + + + + + + 2822 + 763 + 41 + 26 + + + 2844 + 776.3333 + + + + + + + + Curve length + 9eb0f0ea-2965-4fc8-b572-ef5296567ba4 + true + Length + Length + false + 0 + + + + + + 2822 + 789 + 41 + 27 + + + 2844 + 803 + + + + + + + + Curve domain + b475e5c3-0c60-4abe-9d2e-5a898b27707b + true + Domain + Domain + false + 0 + + + + + + 2822 + 816 + 41 + 27 + + + 2844 + 829.6666 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + b7947ef7-88a1-45b5-96cb-4bbca7365312 + true + Create Material + Create Material + + + + + + 2731 + 638 + 144 + 104 + + + 2815 + 690 + + + + + + Colour of the diffuse channel + 40a5ebe3-7b8d-4c9b-920f-6f90ffe39f9c + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + 640 + 67 + 20 + + + 2768 + 650 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;207;207;207 + + + + + + + + + + + + Colour of the specular highlight + e57ee3f0-2d4e-47d4-9f76-165fa4feca9f + true + Specular + Specular + false + 0 + + + + + + 2733 + 660 + 67 + 20 + + + 2768 + 670 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 1fa8318b-5c7e-4f2a-a16a-9c18f1eb1c96 + true + Emission + Emission + false + 0 + + + + + + 2733 + 680 + 67 + 20 + + + 2768 + 690 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + be82d0b7-6946-4b3f-8c47-30f33589bb4b + true + Transparency + Transparency + false + 0 + + + + + + 2733 + 700 + 67 + 20 + + + 2768 + 710 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 705f39c6-8b1f-4839-874c-bab611bc7933 + true + Shine + Shine + false + 0 + + + + + + 2733 + 720 + 67 + 20 + + + 2768 + 730 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 29efeab3-518b-400b-8807-f7536d0764bb + true + Material + Material + false + 0 + + + + + + 2830 + 640 + 43 + 100 + + + 2853 + 690 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 1c193ff0-05e8-47a8-96fc-bbafada6a625 + true + Custom Preview + Custom Preview + + + + + + + 2762 + 576 + 82 + 44 + + + 2830 + 598 + + + + + + Geometry to preview + true + 026cae0e-93ad-480a-a99e-61ecb378d4c4 + true + Geometry + Geometry + false + 16088e98-5016-47cf-9e06-33de8403752e + 1 + + + + + + 2764 + 578 + 51 + 20 + + + 2791 + 588 + + + + + + + + The material override + 68d59d9f-5684-43a8-aab8-2d3b87155155 + true + Material + Material + false + 29efeab3-518b-400b-8807-f7536d0764bb + 1 + + + + + + 2764 + 598 + 51 + 20 + + + 2791 + 608 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b7947ef7-88a1-45b5-96cb-4bbca7365312 + 1c193ff0-05e8-47a8-96fc-bbafada6a625 + 2 + bb422305-f56f-490b-b653-544931c09145 + Group + + + + + + + + + + + 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 + a628cbff-e924-4087-b69a-6ae9e00ca171 + true + Evaluate Length + Evaluate Length + + + + + + 2731 + -898 + 144 + 64 + + + 2805 + -866 + + + + + + Curve to evaluate + 7d680361-612f-4597-b92e-e7a39e433b82 + true + Curve + Curve + false + 2b8b5cbd-995b-42e0-af86-dd9fc7d657ca + 1 + + + + + + 2733 + -896 + 57 + 20 + + + 2763 + -886 + + + + + + + + Length factor for curve evaluation + ecb7d58d-f12b-4083-a286-3c860ec02870 + true + Length + Length + false + 0 + + + + + + 2733 + -876 + 57 + 20 + + + 2763 + -866 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + e74be359-5cba-4fe2-b76e-d5984b3df516 + true + Normalized + Normalized + false + 0 + + + + + + 2733 + -856 + 57 + 20 + + + 2763 + -846 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d2941202-8d0a-4dd6-bfc8-2c750ee6b352 + true + Point + Point + false + 0 + + + + + + 2820 + -896 + 53 + 20 + + + 2848 + -886 + + + + + + + + Tangent vector at the specified length + e2bb87aa-c7e9-49e3-94d1-b6bf4496d193 + true + Tangent + Tangent + false + 0 + + + + + + 2820 + -876 + 53 + 20 + + + 2848 + -866 + + + + + + + + Curve parameter at the specified length + 06fa28fb-0615-47b5-94dd-222c17617c39 + true + Parameter + Parameter + false + 0 + + + + + + 2820 + -856 + 53 + 20 + + + 2848 + -846 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + e02dc4a6-1ed5-4658-8ab5-2a962ae14431 + true + Interpolate + Interpolate + + + + + + 2740 + -1002 + 125 + 84 + + + 2807 + -960 + + + + + + 1 + Interpolation points + 1c02e629-be1d-464f-a454-fb753462143c + true + Vertices + Vertices + false + d2941202-8d0a-4dd6-bfc8-2c750ee6b352 + 1 + + + + + + 2742 + -1000 + 50 + 20 + + + 2768.5 + -990 + + + + + + + + Curve degree + e9fcd0c7-60d3-46b8-86cb-60060d76f560 + true + Degree + Degree + false + 0 + + + + + + 2742 + -980 + 50 + 20 + + + 2768.5 + -970 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 6fb52cf2-f3cd-4410-8c7f-12b46722b7fd + true + Periodic + Periodic + false + 0 + + + + + + 2742 + -960 + 50 + 20 + + + 2768.5 + -950 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 31efb708-8f46-42f6-9447-9c6fe45d1c6f + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2742 + -940 + 50 + 20 + + + 2768.5 + -930 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 28cadc91-34c8-4ad0-8a0c-e13862554c89 + true + Curve + Curve + false + 0 + + + + + + 2822 + -1000 + 41 + 26 + + + 2844 + -986.6667 + + + + + + + + Curve length + 5c7d6f64-079a-4ae4-af56-0d6f63d06ed5 + true + Length + Length + false + 0 + + + + + + 2822 + -974 + 41 + 27 + + + 2844 + -960 + + + + + + + + Curve domain + 0c74b56c-c91f-4e48-8147-a035074f3602 + true + Domain + Domain + false + 0 + + + + + + 2822 + -947 + 41 + 27 + + + 2844 + -933.3334 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 8a5a7e2c-67ec-458b-b19b-c7e51a8e067f + true + Create Material + Create Material + + + + + + 2731 + -1125 + 144 + 104 + + + 2815 + -1073 + + + + + + Colour of the diffuse channel + fdaf6f4f-d379-4e03-8e14-1ae5af262073 + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + -1123 + 67 + 20 + + + 2768 + -1113 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;199;199;199 + + + + + + + + + + + + Colour of the specular highlight + 2eb9cb51-059e-4efb-9574-6ab5d513b44b + true + Specular + Specular + false + 0 + + + + + + 2733 + -1103 + 67 + 20 + + + 2768 + -1093 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + a37ffe1b-5ee8-46c8-afc4-b479eacfc6b2 + true + Emission + Emission + false + 0 + + + + + + 2733 + -1083 + 67 + 20 + + + 2768 + -1073 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 08bdb14d-4890-4185-bb41-eeb1d208541b + true + Transparency + Transparency + false + 0 + + + + + + 2733 + -1063 + 67 + 20 + + + 2768 + -1053 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 209ab11b-1c07-4264-b2ea-3abddf2938fb + true + Shine + Shine + false + 0 + + + + + + 2733 + -1043 + 67 + 20 + + + 2768 + -1033 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 0465f47b-cc56-49f2-a4a4-1c51e7d15db0 + true + Material + Material + false + 0 + + + + + + 2830 + -1123 + 43 + 100 + + + 2853 + -1073 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 4793db3b-823e-4fc7-9363-44884123053d + true + Custom Preview + Custom Preview + + + + + + + 2762 + -1187 + 82 + 44 + + + 2830 + -1165 + + + + + + Geometry to preview + true + ee4b8549-14aa-4c33-ba01-ded1f5e8b6f1 + true + Geometry + Geometry + false + 28cadc91-34c8-4ad0-8a0c-e13862554c89 + 1 + + + + + + 2764 + -1185 + 51 + 20 + + + 2791 + -1175 + + + + + + + + The material override + feef5d5d-af6d-46de-bbd9-9be97643707e + true + Material + Material + false + 0465f47b-cc56-49f2-a4a4-1c51e7d15db0 + 1 + + + + + + 2764 + -1165 + 51 + 20 + + + 2791 + -1155 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8a5a7e2c-67ec-458b-b19b-c7e51a8e067f + 4793db3b-823e-4fc7-9363-44884123053d + 2 + 36470645-ff8a-4059-9665-a25ef0bc1bff + Group + + + + + + + + + + + 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 + 3e7cc59c-5d43-43d2-a2fc-3ff56e225a0a + true + Evaluate Length + Evaluate Length + + + + + + 2731 + -2696 + 144 + 64 + + + 2805 + -2664 + + + + + + Curve to evaluate + 5291eaad-112f-4858-b476-8a63ec73f9ab + true + Curve + Curve + false + 124d9bdf-ab24-4fa1-acfd-0f24e78ae4f3 + 1 + + + + + + 2733 + -2694 + 57 + 20 + + + 2763 + -2684 + + + + + + + + Length factor for curve evaluation + f531c7b0-3e27-4250-b0e1-ceadc8fd1bfc + true + Length + Length + false + 0 + + + + + + 2733 + -2674 + 57 + 20 + + + 2763 + -2664 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 6bbfeab5-3df3-42c1-91d8-4cd62b4e9d7c + true + Normalized + Normalized + false + 0 + + + + + + 2733 + -2654 + 57 + 20 + + + 2763 + -2644 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 392dd8ca-50b1-4832-9c2a-70b3c5c08ace + true + Point + Point + false + 0 + + + + + + 2820 + -2694 + 53 + 20 + + + 2848 + -2684 + + + + + + + + Tangent vector at the specified length + 0b49d03c-7253-4a06-aed5-ea6f4c64964f + true + Tangent + Tangent + false + 0 + + + + + + 2820 + -2674 + 53 + 20 + + + 2848 + -2664 + + + + + + + + Curve parameter at the specified length + 39ee3f46-1864-4eb2-812d-8b03f5df68cd + true + Parameter + Parameter + false + 0 + + + + + + 2820 + -2654 + 53 + 20 + + + 2848 + -2644 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 23406fea-d648-42ad-a9a6-9e6a5e871332 + true + Interpolate + Interpolate + + + + + + 2740 + -2800 + 125 + 84 + + + 2807 + -2758 + + + + + + 1 + Interpolation points + 28909a9b-01ce-4f31-a16d-6322153d5598 + true + Vertices + Vertices + false + 392dd8ca-50b1-4832-9c2a-70b3c5c08ace + 1 + + + + + + 2742 + -2798 + 50 + 20 + + + 2768.5 + -2788 + + + + + + + + Curve degree + 722d2441-f0fc-4557-a48d-18c999cf1aa6 + true + Degree + Degree + false + 0 + + + + + + 2742 + -2778 + 50 + 20 + + + 2768.5 + -2768 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 9654d4c8-c749-4e5b-9f92-86217d9b75d1 + true + Periodic + Periodic + false + 0 + + + + + + 2742 + -2758 + 50 + 20 + + + 2768.5 + -2748 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 083481ca-4714-4e50-bbdb-975ab796d19d + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2742 + -2738 + 50 + 20 + + + 2768.5 + -2728 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + cf73f88f-731e-4747-b666-01db880b93b4 + true + Curve + Curve + false + 0 + + + + + + 2822 + -2798 + 41 + 26 + + + 2844 + -2784.667 + + + + + + + + Curve length + eab89f53-0c10-44ed-b69e-b76065c74526 + true + Length + Length + false + 0 + + + + + + 2822 + -2772 + 41 + 27 + + + 2844 + -2758 + + + + + + + + Curve domain + 74f2a6ab-5a65-4809-ae93-c553136974db + true + Domain + Domain + false + 0 + + + + + + 2822 + -2745 + 41 + 27 + + + 2844 + -2731.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 6e9a05fd-a63f-46c8-8e9c-6c2090966168 + true + Create Material + Create Material + + + + + + 2731 + -2923 + 144 + 104 + + + 2815 + -2871 + + + + + + Colour of the diffuse channel + 1b77150c-56dc-458c-96ed-001110e8d77e + true + Diffuse + Diffuse + false + 0 + + + + + + 2733 + -2921 + 67 + 20 + + + 2768 + -2911 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;191;191;191 + + + + + + + + + + + + Colour of the specular highlight + 3fc82104-3c05-4b51-8b46-e5715460b6d8 + true + Specular + Specular + false + 0 + + + + + + 2733 + -2901 + 67 + 20 + + + 2768 + -2891 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + bbb5f55a-b345-4752-a8f8-d6d623e4fdca + true + Emission + Emission + false + 0 + + + + + + 2733 + -2881 + 67 + 20 + + + 2768 + -2871 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + d0b3ee2c-3902-4b56-9522-710d7ec8d8f5 + true + Transparency + Transparency + false + 0 + + + + + + 2733 + -2861 + 67 + 20 + + + 2768 + -2851 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 1e93df78-1421-4a87-8d5e-81f66824b877 + true + Shine + Shine + false + 0 + + + + + + 2733 + -2841 + 67 + 20 + + + 2768 + -2831 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 4842bdcf-dc78-4ab6-8b3a-93e6f341072f + true + Material + Material + false + 0 + + + + + + 2830 + -2921 + 43 + 100 + + + 2853 + -2871 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + 5b1003b9-09b0-4476-8f1b-58290691bc28 + true + Custom Preview + Custom Preview + + + + + + + 2762 + -2985 + 82 + 44 + + + 2830 + -2963 + + + + + + Geometry to preview + true + e4f0e23f-3d02-4af6-8ddd-9eb89b7f9270 + true + Geometry + Geometry + false + cf73f88f-731e-4747-b666-01db880b93b4 + 1 + + + + + + 2764 + -2983 + 51 + 20 + + + 2791 + -2973 + + + + + + + + The material override + 7de66a47-dc70-4ff5-a337-9a15eca19455 + true + Material + Material + false + 4842bdcf-dc78-4ab6-8b3a-93e6f341072f + 1 + + + + + + 2764 + -2963 + 51 + 20 + + + 2791 + -2953 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6e9a05fd-a63f-46c8-8e9c-6c2090966168 + 5b1003b9-09b0-4476-8f1b-58290691bc28 + 2 + dcb7528a-ecb2-455e-a7a9-bbc1925d8141 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 33d169ca-0346-4d9c-8215-357b9043028e + 8dc32522-c682-4ff8-8b97-cbd1b23da515 + 7b86bb78-229e-4e92-8975-52158c20193e + 81207625-50b7-466b-a33d-23c0e88f3ac9 + c9a63204-827d-4fc8-89ca-1e01148b0d3d + 5 + d4852463-f9fa-4e3e-83d1-08d306826395 + Group + + + + + + + + + + + 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 + 8500138e-2946-4f7c-be93-c3c7109b4c2f + true + Evaluate Length + Evaluate Length + + + + + + 2735 + -4493 + 144 + 64 + + + 2809 + -4461 + + + + + + Curve to evaluate + 1bd32a94-d147-45be-8a0f-1e4dce95c4a4 + true + Curve + Curve + false + 2c9695ba-b315-4f78-85cd-abc3b3a78187 + 1 + + + + + + 2737 + -4491 + 57 + 20 + + + 2767 + -4481 + + + + + + + + Length factor for curve evaluation + f024bb82-6011-45dd-bff5-acfe413195ee + true + Length + Length + false + 0 + + + + + + 2737 + -4471 + 57 + 20 + + + 2767 + -4461 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 59ab80ba-f9eb-4352-b012-6afab2e1bc28 + true + Normalized + Normalized + false + 0 + + + + + + 2737 + -4451 + 57 + 20 + + + 2767 + -4441 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 0dc9f2cb-fa29-4c8e-8186-db35e5abf4af + true + Point + Point + false + 0 + + + + + + 2824 + -4491 + 53 + 20 + + + 2852 + -4481 + + + + + + + + Tangent vector at the specified length + a3e505b1-2bf5-4fb5-8813-cbaff30d53da + true + Tangent + Tangent + false + 0 + + + + + + 2824 + -4471 + 53 + 20 + + + 2852 + -4461 + + + + + + + + Curve parameter at the specified length + b5d70c8b-a430-4da0-b488-c56572a09b2d + true + Parameter + Parameter + false + 0 + + + + + + 2824 + -4451 + 53 + 20 + + + 2852 + -4441 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + cad9f703-3621-4a15-835e-3c62c5728043 + true + Interpolate + Interpolate + + + + + + 2744 + -4599 + 125 + 84 + + + 2811 + -4557 + + + + + + 1 + Interpolation points + 5ed9bce7-4015-4df0-b8f5-0de94c1cbf95 + true + Vertices + Vertices + false + 0dc9f2cb-fa29-4c8e-8186-db35e5abf4af + 1 + + + + + + 2746 + -4597 + 50 + 20 + + + 2772.5 + -4587 + + + + + + + + Curve degree + 151fcd36-e8e1-4f57-a353-9e136351155b + true + Degree + Degree + false + 0 + + + + + + 2746 + -4577 + 50 + 20 + + + 2772.5 + -4567 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 44d97364-de0d-42c1-b461-d89223876d34 + true + Periodic + Periodic + false + 0 + + + + + + 2746 + -4557 + 50 + 20 + + + 2772.5 + -4547 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 25ca8fff-1ec8-414d-95c3-374462bea822 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2746 + -4537 + 50 + 20 + + + 2772.5 + -4527 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 66845570-eed1-42c1-b834-160fef10c84f + true + Curve + Curve + false + 0 + + + + + + 2826 + -4597 + 41 + 26 + + + 2848 + -4583.667 + + + + + + + + Curve length + 36c22447-bf2f-47c5-87e0-7772131609ba + true + Length + Length + false + 0 + + + + + + 2826 + -4571 + 41 + 27 + + + 2848 + -4557 + + + + + + + + Curve domain + 531ca2f9-4502-433d-a846-7e6e38102384 + true + Domain + Domain + false + 0 + + + + + + 2826 + -4544 + 41 + 27 + + + 2848 + -4530.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 19800ae1-a0b6-4fea-a742-1c5c30324ec3 + true + Create Material + Create Material + + + + + + 2735 + -4722 + 144 + 104 + + + 2819 + -4670 + + + + + + Colour of the diffuse channel + 798af4f9-0b91-4c67-a146-f8ad1602f43d + true + Diffuse + Diffuse + false + 0 + + + + + + 2737 + -4720 + 67 + 20 + + + 2772 + -4710 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;184;184;184 + + + + + + + + + + + + Colour of the specular highlight + 161df7f9-b363-4f5b-a5d8-62681df0dfb6 + true + Specular + Specular + false + 0 + + + + + + 2737 + -4700 + 67 + 20 + + + 2772 + -4690 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 22752c53-b4e2-4979-abb6-386367b72112 + true + Emission + Emission + false + 0 + + + + + + 2737 + -4680 + 67 + 20 + + + 2772 + -4670 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + b34e8871-494d-47ba-a649-f8b835b14530 + true + Transparency + Transparency + false + 0 + + + + + + 2737 + -4660 + 67 + 20 + + + 2772 + -4650 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + e3c15594-84a4-42e2-80f7-176381f104a4 + true + Shine + Shine + false + 0 + + + + + + 2737 + -4640 + 67 + 20 + + + 2772 + -4630 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 4acb491c-4b2c-4547-9db6-02d779e78cef + true + Material + Material + false + 0 + + + + + + 2834 + -4720 + 43 + 100 + + + 2857 + -4670 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + ceffa153-887e-4858-9494-ff4113ed6ec8 + true + Custom Preview + Custom Preview + + + + + + + 2766 + -4784 + 82 + 44 + + + 2834 + -4762 + + + + + + Geometry to preview + true + 365e9e83-b0ce-4edf-92d4-e61353683006 + true + Geometry + Geometry + false + 66845570-eed1-42c1-b834-160fef10c84f + 1 + + + + + + 2768 + -4782 + 51 + 20 + + + 2795 + -4772 + + + + + + + + The material override + 195e77de-8ce9-40c3-940e-66add71fd5a7 + true + Material + Material + false + 4acb491c-4b2c-4547-9db6-02d779e78cef + 1 + + + + + + 2768 + -4762 + 51 + 20 + + + 2795 + -4752 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 19800ae1-a0b6-4fea-a742-1c5c30324ec3 + ceffa153-887e-4858-9494-ff4113ed6ec8 + 2 + e9181e89-67db-453a-a90b-03cf875e54e4 + Group + + + + + + + + + + + 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 + 1ed8af89-73d9-46fb-9f92-85e97b1954ab + true + Evaluate Length + Evaluate Length + + + + + + 2736 + -6294 + 144 + 64 + + + 2810 + -6262 + + + + + + Curve to evaluate + 317be7dc-eb4a-4b04-a50a-3d099775df9f + true + Curve + Curve + false + 6887d1d4-79dc-484f-ba0b-cbc72eeea403 + 1 + + + + + + 2738 + -6292 + 57 + 20 + + + 2768 + -6282 + + + + + + + + Length factor for curve evaluation + cf6786f7-c209-49b2-9c1d-b5738c2930bf + true + Length + Length + false + 0 + + + + + + 2738 + -6272 + 57 + 20 + + + 2768 + -6262 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 5a5a4805-c174-42bf-b1c2-2dabbf02147b + true + Normalized + Normalized + false + 0 + + + + + + 2738 + -6252 + 57 + 20 + + + 2768 + -6242 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 5fcc74ba-0e29-4f6c-85df-f1a715ae68be + true + Point + Point + false + 0 + + + + + + 2825 + -6292 + 53 + 20 + + + 2853 + -6282 + + + + + + + + Tangent vector at the specified length + 73cb7946-f977-44ec-b1c4-35587265ebd7 + true + Tangent + Tangent + false + 0 + + + + + + 2825 + -6272 + 53 + 20 + + + 2853 + -6262 + + + + + + + + Curve parameter at the specified length + 6d9240b7-36e9-49be-9f55-bc39647103ec + true + Parameter + Parameter + false + 0 + + + + + + 2825 + -6252 + 53 + 20 + + + 2853 + -6242 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 35cf69c6-1a64-47f3-beee-9ffa3d777872 + true + Interpolate + Interpolate + + + + + + 2745 + -6400 + 125 + 84 + + + 2812 + -6358 + + + + + + 1 + Interpolation points + 0e79b795-d38e-4540-9f76-3cae416aa75d + true + Vertices + Vertices + false + 5fcc74ba-0e29-4f6c-85df-f1a715ae68be + 1 + + + + + + 2747 + -6398 + 50 + 20 + + + 2773.5 + -6388 + + + + + + + + Curve degree + 023486d2-3d90-4c94-85a8-6ec7e26d3f54 + true + Degree + Degree + false + 0 + + + + + + 2747 + -6378 + 50 + 20 + + + 2773.5 + -6368 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + f0bd6571-6ddf-4f9a-9010-6afb2db35516 + true + Periodic + Periodic + false + 0 + + + + + + 2747 + -6358 + 50 + 20 + + + 2773.5 + -6348 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + c29a4089-d1df-4eb7-87b8-5760006cd8f1 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2747 + -6338 + 50 + 20 + + + 2773.5 + -6328 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 3d8a624c-87ce-442d-bd4d-01088ae62c90 + true + Curve + Curve + false + 0 + + + + + + 2827 + -6398 + 41 + 26 + + + 2849 + -6384.667 + + + + + + + + Curve length + 5bf8f24a-c210-4f9f-b69d-6bc3edeb020a + true + Length + Length + false + 0 + + + + + + 2827 + -6372 + 41 + 27 + + + 2849 + -6358 + + + + + + + + Curve domain + b2911b12-0c31-412f-b48e-4c87f541b21d + true + Domain + Domain + false + 0 + + + + + + 2827 + -6345 + 41 + 27 + + + 2849 + -6331.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 9cb83053-a3f1-4d08-bad8-b0b6d4352272 + true + Create Material + Create Material + + + + + + 2736 + -6523 + 144 + 104 + + + 2820 + -6471 + + + + + + Colour of the diffuse channel + e4ebfa9c-8dff-4e98-9e81-9e94f8912f89 + true + Diffuse + Diffuse + false + 0 + + + + + + 2738 + -6521 + 67 + 20 + + + 2773 + -6511 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;176;176;176 + + + + + + + + + + + + Colour of the specular highlight + a45bbbd8-5417-4fa8-a90e-537d5562f7ff + true + Specular + Specular + false + 0 + + + + + + 2738 + -6501 + 67 + 20 + + + 2773 + -6491 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 74ef5c1a-cb30-48a5-9045-fc4ac82ef322 + true + Emission + Emission + false + 0 + + + + + + 2738 + -6481 + 67 + 20 + + + 2773 + -6471 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 3064c491-155d-4541-a63b-4d60abb4fd63 + true + Transparency + Transparency + false + 0 + + + + + + 2738 + -6461 + 67 + 20 + + + 2773 + -6451 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 8a33f754-f6af-46d8-9c3b-b4e8a215f771 + true + Shine + Shine + false + 0 + + + + + + 2738 + -6441 + 67 + 20 + + + 2773 + -6431 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 11050eac-b82c-4dfe-b312-13b0f6b7bd38 + true + Material + Material + false + 0 + + + + + + 2835 + -6521 + 43 + 100 + + + 2858 + -6471 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + b0dc11e3-028a-4c68-abf7-dc7f220168c2 + true + Custom Preview + Custom Preview + + + + + + + 2767 + -6585 + 82 + 44 + + + 2835 + -6563 + + + + + + Geometry to preview + true + cdc9bf03-a4a6-4d0b-8389-a75eda5e95c6 + true + Geometry + Geometry + false + 3d8a624c-87ce-442d-bd4d-01088ae62c90 + 1 + + + + + + 2769 + -6583 + 51 + 20 + + + 2796 + -6573 + + + + + + + + The material override + 2a5f5d5d-72d3-442e-996f-30723a10cdf5 + true + Material + Material + false + 11050eac-b82c-4dfe-b312-13b0f6b7bd38 + 1 + + + + + + 2769 + -6563 + 51 + 20 + + + 2796 + -6553 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9cb83053-a3f1-4d08-bad8-b0b6d4352272 + b0dc11e3-028a-4c68-abf7-dc7f220168c2 + 2 + 957995f5-c366-463c-b3ce-f70bdb0ab1f3 + Group + + + + + + + + + + + 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 + f204596d-0539-42bc-b3c3-7a6c11f93504 + true + Evaluate Length + Evaluate Length + + + + + + 2735 + -8127 + 144 + 64 + + + 2809 + -8095 + + + + + + Curve to evaluate + 5d07980d-9b5d-4839-9837-673407fab7e2 + true + Curve + Curve + false + 1ebf94f7-22a6-4eab-9980-97aba6b6bb19 + 1 + + + + + + 2737 + -8125 + 57 + 20 + + + 2767 + -8115 + + + + + + + + Length factor for curve evaluation + 4fba7df1-34b1-4fae-842c-94ab12f833d3 + true + Length + Length + false + 0 + + + + + + 2737 + -8105 + 57 + 20 + + + 2767 + -8095 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 4da6ac45-93c0-4778-bf44-2170ee05988f + true + Normalized + Normalized + false + 0 + + + + + + 2737 + -8085 + 57 + 20 + + + 2767 + -8075 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + ac7b3481-1027-4677-86c0-0467cd2f6b29 + true + Point + Point + false + 0 + + + + + + 2824 + -8125 + 53 + 20 + + + 2852 + -8115 + + + + + + + + Tangent vector at the specified length + 9b09da1b-d90b-4e0e-8413-616830d9269b + true + Tangent + Tangent + false + 0 + + + + + + 2824 + -8105 + 53 + 20 + + + 2852 + -8095 + + + + + + + + Curve parameter at the specified length + aa85df81-6dd0-4755-83a0-661676b646df + true + Parameter + Parameter + false + 0 + + + + + + 2824 + -8085 + 53 + 20 + + + 2852 + -8075 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 4188728e-68e2-4d42-82f2-19bb6c40b380 + true + Interpolate + Interpolate + + + + + + 2744 + -8233 + 125 + 84 + + + 2811 + -8191 + + + + + + 1 + Interpolation points + 20e3d53a-42b1-4313-b071-46dba1b25a71 + true + Vertices + Vertices + false + ac7b3481-1027-4677-86c0-0467cd2f6b29 + 1 + + + + + + 2746 + -8231 + 50 + 20 + + + 2772.5 + -8221 + + + + + + + + Curve degree + 6ce624b9-0b32-4b5c-a581-6fc102f9456f + true + Degree + Degree + false + 0 + + + + + + 2746 + -8211 + 50 + 20 + + + 2772.5 + -8201 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 4f7b9876-037c-489e-a1ee-d69840321db6 + true + Periodic + Periodic + false + 0 + + + + + + 2746 + -8191 + 50 + 20 + + + 2772.5 + -8181 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + c75613a9-6ea8-4f77-a3e5-6e2d236bed31 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2746 + -8171 + 50 + 20 + + + 2772.5 + -8161 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + b577260e-1f33-4ead-9e5e-d3fd4bde379a + true + Curve + Curve + false + 0 + + + + + + 2826 + -8231 + 41 + 26 + + + 2848 + -8217.667 + + + + + + + + Curve length + 8c82ae2b-09c9-4079-ac43-d59ad8341e81 + true + Length + Length + false + 0 + + + + + + 2826 + -8205 + 41 + 27 + + + 2848 + -8191 + + + + + + + + Curve domain + 52e29a2f-1c7b-4db7-8117-c0141924e05e + true + Domain + Domain + false + 0 + + + + + + 2826 + -8178 + 41 + 27 + + + 2848 + -8164.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 844999aa-f0e7-431f-b0df-673861258066 + true + Create Material + Create Material + + + + + + 2735 + -8356 + 144 + 104 + + + 2819 + -8304 + + + + + + Colour of the diffuse channel + 2fabe4e0-a17b-4cc8-8636-c46f20d35512 + true + Diffuse + Diffuse + false + 0 + + + + + + 2737 + -8354 + 67 + 20 + + + 2772 + -8344 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;168;168;168 + + + + + + + + + + + + Colour of the specular highlight + 6e381911-f2cd-4b19-8843-4a7b22a3c5b8 + true + Specular + Specular + false + 0 + + + + + + 2737 + -8334 + 67 + 20 + + + 2772 + -8324 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + b57b9b21-e4a7-4532-9d71-e0c219a7f3ba + true + Emission + Emission + false + 0 + + + + + + 2737 + -8314 + 67 + 20 + + + 2772 + -8304 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 1a3bb167-f4f0-42a7-a29d-15464d045612 + true + Transparency + Transparency + false + 0 + + + + + + 2737 + -8294 + 67 + 20 + + + 2772 + -8284 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + a67b3a4e-371b-4da9-8e68-d995d117f98e + true + Shine + Shine + false + 0 + + + + + + 2737 + -8274 + 67 + 20 + + + 2772 + -8264 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 13d86a2c-22d1-4f55-9666-48646c3be46e + true + Material + Material + false + 0 + + + + + + 2834 + -8354 + 43 + 100 + + + 2857 + -8304 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + aced67d1-3056-41dd-ae2f-76dd69e0987e + true + Custom Preview + Custom Preview + + + + + + + 2766 + -8418 + 82 + 44 + + + 2834 + -8396 + + + + + + Geometry to preview + true + c9c40787-4cec-4597-b4a0-acedae807771 + true + Geometry + Geometry + false + b577260e-1f33-4ead-9e5e-d3fd4bde379a + 1 + + + + + + 2768 + -8416 + 51 + 20 + + + 2795 + -8406 + + + + + + + + The material override + 557aa6cd-3da5-442a-aaf3-bee6d3c4fa2a + true + Material + Material + false + 13d86a2c-22d1-4f55-9666-48646c3be46e + 1 + + + + + + 2768 + -8396 + 51 + 20 + + + 2795 + -8386 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 844999aa-f0e7-431f-b0df-673861258066 + aced67d1-3056-41dd-ae2f-76dd69e0987e + 2 + 820d65ee-b16e-41e8-bf3f-4da0ede194da + Group + + + + + + + + + + + 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 + 849853a5-9fa1-44dc-a6cb-6a6bd83c05a7 + true + Evaluate Length + Evaluate Length + + + + + + 2734 + -9961 + 144 + 64 + + + 2808 + -9929 + + + + + + Curve to evaluate + e0f26723-e6ff-4ce9-b582-f65ee6484a2a + true + Curve + Curve + false + a5bf42cc-02c5-44fd-830f-c8fe1aab6b5a + 1 + + + + + + 2736 + -9959 + 57 + 20 + + + 2766 + -9949 + + + + + + + + Length factor for curve evaluation + 681bc8ed-8583-4ef7-98fd-e37c031a5189 + true + Length + Length + false + 0 + + + + + + 2736 + -9939 + 57 + 20 + + + 2766 + -9929 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + eb5fc821-c2da-4bae-b1ec-e9520fb0ce91 + true + Normalized + Normalized + false + 0 + + + + + + 2736 + -9919 + 57 + 20 + + + 2766 + -9909 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + b579a4ce-06f7-4362-ab8d-dcced9e2a355 + true + Point + Point + false + 0 + + + + + + 2823 + -9959 + 53 + 20 + + + 2851 + -9949 + + + + + + + + Tangent vector at the specified length + 901e95ff-01af-4061-8ffd-d8fe531bd4a7 + true + Tangent + Tangent + false + 0 + + + + + + 2823 + -9939 + 53 + 20 + + + 2851 + -9929 + + + + + + + + Curve parameter at the specified length + 5b6fd995-922d-4361-891b-63b05b0af517 + true + Parameter + Parameter + false + 0 + + + + + + 2823 + -9919 + 53 + 20 + + + 2851 + -9909 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + db4363b4-d574-4300-84c6-5450a67bacc0 + true + Interpolate + Interpolate + + + + + + 2743 + -10067 + 125 + 84 + + + 2810 + -10025 + + + + + + 1 + Interpolation points + e67764f8-b843-4b5f-bda6-7642b40f29e6 + true + Vertices + Vertices + false + b579a4ce-06f7-4362-ab8d-dcced9e2a355 + 1 + + + + + + 2745 + -10065 + 50 + 20 + + + 2771.5 + -10055 + + + + + + + + Curve degree + a4cad95c-dfd4-4581-8d89-b20327c89a1e + true + Degree + Degree + false + 0 + + + + + + 2745 + -10045 + 50 + 20 + + + 2771.5 + -10035 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 1cb94c23-c004-45a3-924b-67f12eca2f39 + true + Periodic + Periodic + false + 0 + + + + + + 2745 + -10025 + 50 + 20 + + + 2771.5 + -10015 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + bd640419-7486-46af-91f3-bc0a191b0cd4 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2745 + -10005 + 50 + 20 + + + 2771.5 + -9995 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + ec5436f0-1b36-4ea0-81a5-dc0d95baba79 + true + Curve + Curve + false + 0 + + + + + + 2825 + -10065 + 41 + 26 + + + 2847 + -10051.67 + + + + + + + + Curve length + cb23c111-31ed-4d24-a5df-095fee07f63b + true + Length + Length + false + 0 + + + + + + 2825 + -10039 + 41 + 27 + + + 2847 + -10025 + + + + + + + + Curve domain + 28600d5d-d27b-4fc7-92e2-d6b582f95712 + true + Domain + Domain + false + 0 + + + + + + 2825 + -10012 + 41 + 27 + + + 2847 + -9998.334 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + a72749a1-3b33-4ce0-9980-144fc2c4dfd6 + true + Create Material + Create Material + + + + + + 2734 + -10190 + 144 + 104 + + + 2818 + -10138 + + + + + + Colour of the diffuse channel + c5926cab-4646-449b-904f-b2af563a3fee + true + Diffuse + Diffuse + false + 0 + + + + + + 2736 + -10188 + 67 + 20 + + + 2771 + -10178 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;161;161;161 + + + + + + + + + + + + Colour of the specular highlight + 6fc6c729-2250-4c8f-84d7-bc281aac89f1 + true + Specular + Specular + false + 0 + + + + + + 2736 + -10168 + 67 + 20 + + + 2771 + -10158 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + b16c46b9-0e96-4ad5-8781-82c985711738 + true + Emission + Emission + false + 0 + + + + + + 2736 + -10148 + 67 + 20 + + + 2771 + -10138 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 940ae8b1-661d-4b15-a408-4a4a2eb2e3b3 + true + Transparency + Transparency + false + 0 + + + + + + 2736 + -10128 + 67 + 20 + + + 2771 + -10118 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 1ab3380c-8e2c-471a-bc81-cef12c23e22f + true + Shine + Shine + false + 0 + + + + + + 2736 + -10108 + 67 + 20 + + + 2771 + -10098 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + fd4cd563-5745-49a3-a2b6-97794306ac59 + true + Material + Material + false + 0 + + + + + + 2833 + -10188 + 43 + 100 + + + 2856 + -10138 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + true + d890eaf4-c21c-45e8-ac03-75c58ccbdf99 + true + Custom Preview + Custom Preview + + + + + + + 2765 + -10252 + 82 + 44 + + + 2833 + -10230 + + + + + + Geometry to preview + true + 49248837-c4b5-4f81-a8c4-2a5f6db96f58 + true + Geometry + Geometry + false + ec5436f0-1b36-4ea0-81a5-dc0d95baba79 + 1 + + + + + + 2767 + -10250 + 51 + 20 + + + 2794 + -10240 + + + + + + + + The material override + 92d87252-f0c4-46f8-9a9a-d4cef4af76a1 + true + Material + Material + false + fd4cd563-5745-49a3-a2b6-97794306ac59 + 1 + + + + + + 2767 + -10230 + 51 + 20 + + + 2794 + -10220 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a72749a1-3b33-4ce0-9980-144fc2c4dfd6 + d890eaf4-c21c-45e8-ac03-75c58ccbdf99 + 2 + 717103e5-0ed1-4969-ae88-8af3c23de426 + Group + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + f77a5006-5ba9-4819-b46f-c7f246c09821 + true + Digit Scroller + + false + 0 + + + + + 12 + + 4 + + 0.50000000 + + + + + + 4189 + -416 + 250 + 20 + + + 4189.567 + -415.0449 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + c27a5a9f-3110-49e1-91f7-6ebafb7c4bc0 + true + Digit Scroller + + false + 0 + + + + + 12 + + 4 + + 0.01875000 + + + + + + 4195 + 982 + 250 + 20 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + b565abfe-af28-4a3d-8aa5-8aa19a0a05d7 + true + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.02500000000 + + + + + + 4205 + 3328 + 250 + 20 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 2cf94056-6af5-459d-9d0b-edb8f8adea38 + true + Digit Scroller + + false + 0 + + + + + 12 + + 6 + + 0.100000 + + + + + + 4183 + -4641 + 250 + 20 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + d20d51a6-0c15-4c64-97de-546619bd377a + true + Digit Scroller + + false + 0 + + + + + 12 + + 6 + + 0.130000 + + + + + + 4176 + -7611 + 250 + 20 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 5d91aef4-3441-4a3b-9dc2-547980473cf4 + 85ee6eeb-392d-4c79-b3c5-af1bf84e29a9 + 2 + 9260f95b-108f-4253-b9a3-822f423289c2 + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c805c655-6882-4bac-bcea-fd9c2844f949 + Curve + Curve + false + 0 + + + + + + 4041 + 7771 + 50 + 24 + + + 4066.609 + 7783.651 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d8b69669-a2bd-4187-9589-204f3dbe274a + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2773 + 3175 + 40 + 16 + + + 2793 + 3183 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 45cacb59-db8f-4bcf-92f7-9858295e7129 + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2782 + 1281 + 40 + 16 + + + 2802 + 1289 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f0a46a15-062c-4b96-9a51-0ebf280e5a4a + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2789 + -479 + 40 + 16 + + + 2809 + -471 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f49ae725-c6ea-4bce-920d-d82e9007d475 + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2782 + -2286 + 40 + 16 + + + 2802 + -2278 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + eecc13d9-74f4-4560-a0dc-f0d6eb44d03c + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2786 + -4075 + 40 + 16 + + + 2806 + -4067 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 647310bf-b19d-44df-ae6f-ffbd5b863fe9 + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2788 + -5874 + 40 + 16 + + + 2808 + -5866 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3dafff0e-0659-48ab-98e3-7c33bcf0fda5 + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2787 + -7678 + 40 + 16 + + + 2807 + -7670 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a5231a70-f4f4-4b81-9867-e1428a4b482a + true + Relay + + false + e987d189-a3ef-46bd-bffd-d627e83d8e15 + 1 + + + + + + 2790 + -9508 + 40 + 16 + + + 2810 + -9500 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 817a1f1b-9353-4d8d-84f9-673116fd6d05 + true + Relay + + false + 1f4d203a-7210-473f-9482-f99a19778d4f + 1 + + + + + + 4327 + -1809 + 40 + 16 + + + 4347 + -1801 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 515aa4ed-7d0b-41c2-8a15-e458b1f9659f + 1735ea28-d9c2-460e-8036-e182399799eb + 72240493-81f6-452f-95bf-65412ec6da40 + abd2599c-b66f-4796-b135-505f6671f818 + 7b9d6ded-0c99-487c-9351-2a3cca1c2110 + c2e639ee-1c56-4725-9c22-3c83610edc53 + 6 + 43b023af-f07e-4a31-a9df-6190e568ad23 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 4758f29a-fcd1-49e3-b3cc-e2a0f1f2ea21 + 2a742a75-74ce-40db-9edd-69648e8ca64b + 10b2a433-1080-4d9a-abca-e4f123bebcf3 + 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 + 120b5798-7e93-4f8d-a27d-8c208f89e6e7 + cc5800cb-d854-4add-8c32-efe50fa3d2eb + 6d2839a1-e43f-4aae-8139-56c8a3457cb7 + 4efe6b4e-959d-49f7-b9de-2270f0224cdd + 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 + 6e65bcbe-4b23-49e9-a8a9-1695d9f5d7eb + e5326a5c-380c-4faf-be70-a5ef64ca144c + 711a6046-10d3-4bbf-bc8b-838cffa466d5 + 8c9f984b-f9d5-472c-8b9b-1a382ce7fd31 + b073a17e-c314-4385-81b2-7fbf1d49f248 + dd0d43a1-de87-4342-8507-d855b718c931 + 8ec23702-5fe2-4be1-8332-98f416ab5ddc + 4d10f13d-6355-45d6-87eb-ccaaefa51805 + 9e2762c3-ea73-4bee-ae02-cb37abac4507 + 07432975-046f-408a-b936-f3cc88f52ba8 + df348b4a-11d0-42c2-8b77-bf4df126b9b4 + c6db8cd0-9eb3-4673-bc52-c07eba1c8691 + 8020b978-8059-4fb8-9dfc-499634e3eb36 + 0080791e-d2ab-4d97-92f0-aa070e790b17 + 03e045d1-2ed6-4631-95ce-9a0b3d4a109d + 852a904e-5051-41c4-bd2e-4fa4a61a1412 + 81a6a5dd-5254-4136-8fa8-e24714b0cbad + 45266b01-7b74-4de8-9ea4-1aaeed8c1eec + 66c7d9bd-29ad-462d-b663-7baf7b463b5a + 374cb792-533f-446a-ae0e-b3bc386a0522 + f1845088-2665-4e94-b3b9-78b3dcda391d + bac62c71-29c9-436a-b5bb-4e2895fa0124 + c9a78eeb-6570-40b7-a6b2-6846321790d3 + 985368d2-fe10-4d78-ab09-0fb0a2c36be2 + a95966a7-ea64-4957-b7d7-09be00ba5fe2 + df8758b2-500d-4069-81dd-a88445f1e688 + eb120ca0-0ff6-46cb-b130-cf60a5f94465 + 389aa786-c3b4-496b-83f0-a1a246a30e2b + aded80e6-bb12-4515-a081-336e91457834 + 27ccc10c-171d-4c69-a49b-b16712c5b030 + d27685f1-474c-4ad8-a45e-702164d36f6d + 5eb498a8-9e2a-4f4d-817c-7ad083a5967c + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 3ad53410-543a-415e-9b3c-24de86d30cb0 + 4b26507f-868d-45c5-8260-3c0775a0897d + b87313ab-683d-437f-84f9-c4631a1cfdfb + d5df7362-ace1-438d-a2e8-b69f30a93618 + 15fd20f0-1058-4765-bd6d-bf7e3601c6ea + b4ca4350-099e-4bb2-a4bc-362a6f55955e + acf3251a-f637-45d9-9c01-5780e7bdd10b + 67c46ea0-3552-4a78-9bad-2a4011c0ee60 + e377c3a4-d1c3-496e-9d02-4580852cab7f + efb9e513-73c3-4e1d-af61-ff13277f6386 + 006de0bd-a99a-4cec-937d-c3306770ce03 + b1b40210-218f-4eda-9d9f-b666946fe136 + 0eb87ca0-6ac5-40ff-9940-c146c824e945 + 841bc79c-9937-423d-9430-76e4ebfeb004 + 99bde510-8938-4c7b-a447-2b979324a643 + d6496b1d-3cbc-47ce-a7e8-7ec952159dbc + 469590de-f73d-4fcc-ae7d-120c40eb69d3 + 51f60437-3aff-4578-a646-e734c437b992 + 97169a5c-4e5b-4b8b-88ff-cb094938af11 + 916c0763-c6f9-41e1-a247-a9935450203a + 62 + 78390c78-fa9d-462a-ac30-4ea767408457 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + df348b4a-11d0-42c2-8b77-bf4df126b9b4 + 1 + 4758f29a-fcd1-49e3-b3cc-e2a0f1f2ea21 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 10b2a433-1080-4d9a-abca-e4f123bebcf3 + 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 + 120b5798-7e93-4f8d-a27d-8c208f89e6e7 + cc5800cb-d854-4add-8c32-efe50fa3d2eb + 6d2839a1-e43f-4aae-8139-56c8a3457cb7 + 4efe6b4e-959d-49f7-b9de-2270f0224cdd + 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 + 6e65bcbe-4b23-49e9-a8a9-1695d9f5d7eb + 711a6046-10d3-4bbf-bc8b-838cffa466d5 + e5326a5c-380c-4faf-be70-a5ef64ca144c + 4758f29a-fcd1-49e3-b3cc-e2a0f1f2ea21 + 97169a5c-4e5b-4b8b-88ff-cb094938af11 + 916c0763-c6f9-41e1-a247-a9935450203a + 13 + 2a742a75-74ce-40db-9edd-69648e8ca64b + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 10b2a433-1080-4d9a-abca-e4f123bebcf3 + Duplicate Data + Duplicate Data + + + + + + 2851 + 12845 + 104 + 64 + + + 2910 + 12877 + + + + + + 1 + Data to duplicate + 39022369-8009-4619-ac85-45305291e4d4 + Data + Data + false + c49582fd-259a-4b4b-aac3-ff1ee9763cfb + 1 + + + + + + 2853 + 12847 + 42 + 20 + + + 2875.5 + 12857 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 82d1be17-2774-4b26-b555-ade5d661ee12 + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 2853 + 12867 + 42 + 20 + + + 2875.5 + 12877 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 1ef46d32-8eca-4348-a849-f5a00514337c + Order + Order + false + 0 + + + + + + 2853 + 12887 + 42 + 20 + + + 2875.5 + 12897 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 57b53898-8f7d-44d8-a1ae-1666c8e1dc5f + Data + Data + false + 0 + + + + + + 2925 + 12847 + 28 + 60 + + + 2940.5 + 12877 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 2849 + 11751 + 116 + 44 + + + 2910 + 11773 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 4d7f558e-a67e-48b3-a167-22e84e270a82 + Forward + Forward + true + 1 + true + 57b53898-8f7d-44d8-a1ae-1666c8e1dc5f + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 2851 + 11753 + 44 + 20 + + + 2874.5 + 11763 + + + + + + + + 1 + false + Script Variable Left + 954cdc51-7b47-42ef-bb13-1963de0736b8 + Left + Left + true + 1 + true + 51f60437-3aff-4578-a646-e734c437b992 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 2851 + 11773 + 44 + 20 + + + 2874.5 + 11783 + + + + + + + + Print, Reflect and Error streams + 1c4524ee-982e-496e-940e-b76dc9d05b6a + Output + Output + false + 0 + + + + + + 2925 + 11753 + 38 + 20 + + + 2945.5 + 11763 + + + + + + + + Output parameter Points + 63c92217-d37f-4363-846e-d0e6c9bbeff9 + Points + Points + false + 0 + + + + + + 2925 + 11773 + 38 + 20 + + + 2945.5 + 11783 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 120b5798-7e93-4f8d-a27d-8c208f89e6e7 + Point + Point + false + 59a00a81-4b6c-4039-a191-eefacc5e6e0e + 1 + + + + + + 2859 + 11460 + 50 + 24 + + + 2884.913 + 11472.83 + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + cc5800cb-d854-4add-8c32-efe50fa3d2eb + Series + Series + + + + + + 2849 + 12228 + 101 + 64 + + + 2899 + 12260 + + + + + + First number in the series + f1e5a406-fccd-42ba-bc76-0641686130c8 + Start + Start + false + 0 + + + + + + 2851 + 12230 + 33 + 20 + + + 2869 + 12240 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 7ff299e3-25a1-46ed-a125-ec5dc67e9908 + Step + Step + false + 42c73156-b980-4c30-a0e4-f33968a6c162 + 1 + + + + + + 2851 + 12250 + 33 + 20 + + + 2869 + 12260 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + d4c81d22-01c4-49b1-ae64-d9163b176eb3 + Count + Count + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 2851 + 12270 + 33 + 20 + + + 2869 + 12280 + + + + + + + + 1 + Series of numbers + f1a5d7bc-42be-4799-83f9-ac28feb25791 + Series + Series + false + 0 + + + + + + 2914 + 12230 + 34 + 60 + + + 2932.5 + 12260 + + + + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 4efe6b4e-959d-49f7-b9de-2270f0224cdd + Radians + Radians + + + + + + 2839 + 12376 + 120 + 28 + + + 2900 + 12390 + + + + + + Angle in degrees + 86d2687b-e8ed-42be-be19-17b2ac144398 + Degrees + Degrees + false + bb7c6e56-db88-4b95-97d6-7f9c63deab58 + 1 + + + + + + 2841 + 12378 + 44 + 24 + + + 2864.5 + 12390 + + + + + + + + Angle in radians + 42c73156-b980-4c30-a0e4-f33968a6c162 + Radians + Radians + false + 0 + + + + + + 2915 + 12378 + 42 + 24 + + + 2937.5 + 12390 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000007490 + + + + + + 2773 + 12707 + 250 + 20 + + + 2773.903 + 12707.24 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + e5326a5c-380c-4faf-be70-a5ef64ca144c + Interpolate (t) + Interpolate (t) + + + + + + 2816 + 11189 + 144 + 84 + + + 2902 + 11231 + + + + + + 1 + Interpolation points + 73643587-5c3d-4e81-b6ee-755cc723d65d + Vertices + Vertices + false + b05b142f-4c7d-4ff8-8a0d-e4cc0cf78eb2 + 1 + + + + + + 2818 + 11191 + 69 + 20 + + + 2854 + 11201 + + + + + + + + Tangent at start of curve + 40ab1b9f-3fd9-4c95-815b-693311852928 + Tangent Start + Tangent Start + false + 0 + + + + + + 2818 + 11211 + 69 + 20 + + + 2854 + 11221 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + d678c573-372c-40a6-918a-7a4ac2a4d88f + Tangent End + Tangent End + false + 0 + + + + + + 2818 + 11231 + 69 + 20 + + + 2854 + 11241 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 644e5c80-3fe1-4187-8639-0f5c02a7e4f1 + KnotStyle + KnotStyle + false + 0 + + + + + + 2818 + 11251 + 69 + 20 + + + 2854 + 11261 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + ab685143-f515-47d5-bdf0-735b4b5153bd + Curve + Curve + false + 0 + + + + + + 2917 + 11191 + 41 + 26 + + + 2939 + 11204.33 + + + + + + + + Curve length + f8ebec05-89f2-493b-b8e5-109f1edbe578 + Length + Length + false + 0 + + + + + + 2917 + 11217 + 41 + 27 + + + 2939 + 11231 + + + + + + + + Curve domain + d512ab32-3866-4496-9223-be577a000368 + Domain + Domain + false + 0 + + + + + + 2917 + 11244 + 41 + 27 + + + 2939 + 11257.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 10b2a433-1080-4d9a-abca-e4f123bebcf3 + 32b23ba0-c30f-438d-81e9-ec3c7b83ffa5 + 120b5798-7e93-4f8d-a27d-8c208f89e6e7 + cc5800cb-d854-4add-8c32-efe50fa3d2eb + 6d2839a1-e43f-4aae-8139-56c8a3457cb7 + 4efe6b4e-959d-49f7-b9de-2270f0224cdd + 3dc0f67e-ce3c-40e2-84c3-dd399d89c1e0 + 6e65bcbe-4b23-49e9-a8a9-1695d9f5d7eb + 930e1928-ff32-4623-a204-dbf6553b9ace + 589075b9-2b51-480f-92d4-4420a7b92fd9 + b1b40210-218f-4eda-9d9f-b666946fe136 + 006de0bd-a99a-4cec-937d-c3306770ce03 + 37c75f14-1e75-4f2c-b59c-513984ea2ab4 + 0f7fe3af-0625-4ea2-86cc-301fc60faa51 + 14 + 711a6046-10d3-4bbf-bc8b-838cffa466d5 + Group + + + + + + + + + + + 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 + 8c9f984b-f9d5-472c-8b9b-1a382ce7fd31 + Evaluate Length + Evaluate Length + + + + + + 2816 + 11021 + 144 + 64 + + + 2890 + 11053 + + + + + + Curve to evaluate + 216ba8ea-573c-4ed4-87ac-501b75d0851f + Curve + Curve + false + ab685143-f515-47d5-bdf0-735b4b5153bd + 1 + + + + + + 2818 + 11023 + 57 + 20 + + + 2848 + 11033 + + + + + + + + Length factor for curve evaluation + 3f0a5dd8-130c-4c8f-8a08-7f5bb28c440f + Length + Length + false + 0 + + + + + + 2818 + 11043 + 57 + 20 + + + 2848 + 11053 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 015ab1eb-497b-48d8-af27-55613993e498 + Normalized + Normalized + false + 0 + + + + + + 2818 + 11063 + 57 + 20 + + + 2848 + 11073 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 5e1fb162-6236-4bd4-8041-e5fc2d038352 + Point + Point + false + 0 + + + + + + 2905 + 11023 + 53 + 20 + + + 2933 + 11033 + + + + + + + + Tangent vector at the specified length + 8964f33a-f8a6-41c4-8adc-a9b58fafc7c8 + Tangent + Tangent + false + 0 + + + + + + 2905 + 11043 + 53 + 20 + + + 2933 + 11053 + + + + + + + + Curve parameter at the specified length + 3de66104-8d61-416b-9229-03e45df8f0d4 + Parameter + Parameter + false + 0 + + + + + + 2905 + 11063 + 53 + 20 + + + 2933 + 11073 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + b073a17e-c314-4385-81b2-7fbf1d49f248 + Mirror + Mirror + + + + + + 2819 + 10959 + 138 + 44 + + + 2887 + 10981 + + + + + + Base geometry + 969f3e76-0c15-4474-a907-6af6626a5e57 + Geometry + Geometry + true + ab685143-f515-47d5-bdf0-735b4b5153bd + 1 + + + + + + 2821 + 10961 + 51 + 20 + + + 2848 + 10971 + + + + + + + + Mirror plane + 6c61a70a-cbde-4b9f-98fd-33038fd1e40c + Plane + Plane + false + c67847e9-14e4-460b-a3e7-f4d5d496aaec + 1 + + + + + + 2821 + 10981 + 51 + 20 + + + 2848 + 10991 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 8b5c246f-4879-4ee1-8ded-08505b93eaff + Geometry + Geometry + false + 0 + + + + + + 2902 + 10961 + 53 + 20 + + + 2930 + 10971 + + + + + + + + Transformation data + 261d0969-6b5c-4d4b-a782-d609cc216f6c + Transform + Transform + false + 0 + + + + + + 2902 + 10981 + 53 + 20 + + + 2930 + 10991 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + dd0d43a1-de87-4342-8507-d855b718c931 + Line SDL + Line SDL + + + + + + 2835 + 11105 + 106 + 64 + + + 2899 + 11137 + + + + + + Line start point + f0375c46-8ab1-47ac-8d0b-17e20c132caf + Start + Start + false + 5e1fb162-6236-4bd4-8041-e5fc2d038352 + 1 + + + + + + 2837 + 11107 + 47 + 20 + + + 2862 + 11117 + + + + + + + + Line tangent (direction) + 1b08bf37-6aa1-45d1-b097-cfb735bfc0bc + Direction + Direction + false + 8964f33a-f8a6-41c4-8adc-a9b58fafc7c8 + 1 + + + + + + 2837 + 11127 + 47 + 20 + + + 2862 + 11137 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + b61b5581-4b29-4fec-95dd-d8515f30bce0 + Length + Length + false + 0 + + + + + + 2837 + 11147 + 47 + 20 + + + 2862 + 11157 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + c67847e9-14e4-460b-a3e7-f4d5d496aaec + Line + Line + false + 0 + + + + + + 2914 + 11107 + 25 + 60 + + + 2928 + 11137 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 8ec23702-5fe2-4be1-8332-98f416ab5ddc + Join Curves + Join Curves + + + + + + 2829 + 10897 + 118 + 44 + + + 2892 + 10919 + + + + + + 1 + Curves to join + 369956ec-3d36-46ed-a424-24c8883bd5fd + Curves + Curves + false + ab685143-f515-47d5-bdf0-735b4b5153bd + 8b5c246f-4879-4ee1-8ded-08505b93eaff + 2 + + + + + + 2831 + 10899 + 46 + 20 + + + 2855.5 + 10909 + + + + + + + + Preserve direction of input curves + 08679527-ca8f-4f96-a49c-33c156c8ad04 + Preserve + Preserve + false + 0 + + + + + + 2831 + 10919 + 46 + 20 + + + 2855.5 + 10929 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + a16d9668-d615-49d8-bd88-f7c5d0263a61 + Curves + Curves + false + 0 + + + + + + 2907 + 10899 + 38 + 40 + + + 2927.5 + 10919 + + + + + + + + + + + + 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 + 4d10f13d-6355-45d6-87eb-ccaaefa51805 + Evaluate Length + Evaluate Length + + + + + + 2816 + 10813 + 144 + 64 + + + 2890 + 10845 + + + + + + Curve to evaluate + d686837e-9bcd-488a-830a-e2b72b687a76 + Curve + Curve + false + a16d9668-d615-49d8-bd88-f7c5d0263a61 + 1 + + + + + + 2818 + 10815 + 57 + 20 + + + 2848 + 10825 + + + + + + + + Length factor for curve evaluation + 2307a3b0-5c64-46e2-a3c9-5fc5d613ec84 + Length + Length + false + 0 + + + + + + 2818 + 10835 + 57 + 20 + + + 2848 + 10845 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + e9c10ff4-8e68-48fd-92ce-23f5d1884e82 + Normalized + Normalized + false + 0 + + + + + + 2818 + 10855 + 57 + 20 + + + 2848 + 10865 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 29c4abcc-8a61-4b59-a3f5-01aec3dd7884 + Point + Point + false + 0 + + + + + + 2905 + 10815 + 53 + 20 + + + 2933 + 10825 + + + + + + + + Tangent vector at the specified length + 14cce23f-6b3f-4c61-ad91-66fbcddd7d58 + Tangent + Tangent + false + 0 + + + + + + 2905 + 10835 + 53 + 20 + + + 2933 + 10845 + + + + + + + + Curve parameter at the specified length + 2fcbfec6-f66c-45de-881f-07f8445f134d + Parameter + Parameter + false + 0 + + + + + + 2905 + 10855 + 53 + 20 + + + 2933 + 10865 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 9e2762c3-ea73-4bee-ae02-cb37abac4507 + Rotate + Rotate + + + + + + 2819 + 10730 + 138 + 64 + + + 2887 + 10762 + + + + + + Base geometry + 7c503bf9-0363-4afb-961c-c44bbc071267 + Geometry + Geometry + true + a16d9668-d615-49d8-bd88-f7c5d0263a61 + 1 + + + + + + 2821 + 10732 + 51 + 20 + + + 2848 + 10742 + + + + + + + + Rotation angle in radians + e70e7b40-7ce3-4830-9d3e-c2231ea40a2c + Angle + Angle + false + 0 + false + + + + + + 2821 + 10752 + 51 + 20 + + + 2848 + 10762 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 7692ee51-76b9-448f-aa9e-bac38e5d4abb + Plane + Plane + false + 29c4abcc-8a61-4b59-a3f5-01aec3dd7884 + 1 + + + + + + 2821 + 10772 + 51 + 20 + + + 2848 + 10782 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + bf0f2ce2-2957-4cc4-98d9-494d053f5904 + Geometry + Geometry + false + 0 + + + + + + 2902 + 10732 + 53 + 30 + + + 2930 + 10747 + + + + + + + + Transformation data + a95874c0-197c-4794-bfcc-a539b1b14af5 + Transform + Transform + false + 0 + + + + + + 2902 + 10762 + 53 + 30 + + + 2930 + 10777 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 07432975-046f-408a-b936-f3cc88f52ba8 + Join Curves + Join Curves + + + + + + 2829 + 10667 + 118 + 44 + + + 2892 + 10689 + + + + + + 1 + Curves to join + 6016bebc-23fb-479f-acdc-76d0c5abc04c + Curves + Curves + false + a16d9668-d615-49d8-bd88-f7c5d0263a61 + bf0f2ce2-2957-4cc4-98d9-494d053f5904 + 2 + + + + + + 2831 + 10669 + 46 + 20 + + + 2855.5 + 10679 + + + + + + + + Preserve direction of input curves + 1771f275-0a51-4ba0-a603-511f63db61ef + Preserve + Preserve + false + 0 + + + + + + 2831 + 10689 + 46 + 20 + + + 2855.5 + 10699 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + a1fd42b8-c6dd-4799-a97e-644d20681eee + Curves + Curves + false + 0 + + + + + + 2907 + 10669 + 38 + 40 + + + 2927.5 + 10689 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e5326a5c-380c-4faf-be70-a5ef64ca144c + 8c9f984b-f9d5-472c-8b9b-1a382ce7fd31 + b073a17e-c314-4385-81b2-7fbf1d49f248 + dd0d43a1-de87-4342-8507-d855b718c931 + 8ec23702-5fe2-4be1-8332-98f416ab5ddc + 4d10f13d-6355-45d6-87eb-ccaaefa51805 + 9e2762c3-ea73-4bee-ae02-cb37abac4507 + 07432975-046f-408a-b936-f3cc88f52ba8 + 8020b978-8059-4fb8-9dfc-499634e3eb36 + 9 + df348b4a-11d0-42c2-8b77-bf4df126b9b4 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c6db8cd0-9eb3-4673-bc52-c07eba1c8691 + Panel + + false + 0 + a95966a7-ea64-4957-b7d7-09be00ba5fe2 + 1 + Double click to edit panel content… + + + + + + 2829 + 12333 + 145 + 20 + + 0 + 0 + 0 + + 2829.287 + 12333.55 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 8020b978-8059-4fb8-9dfc-499634e3eb36 + Curve + Curve + false + a1fd42b8-c6dd-4799-a97e-644d20681eee + 1 + + + + + + 2865 + 10635 + 50 + 24 + + + 2890.651 + 10647.03 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8020b978-8059-4fb8-9dfc-499634e3eb36 + 1 + 0080791e-d2ab-4d97-92f0-aa070e790b17 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 03e045d1-2ed6-4631-95ce-9a0b3d4a109d + Panel + + false + 0 + 0 + 0.0013733120705119695*4*4 + + + + + + 2801 + 12456 + 270 + 20 + + 0 + 0 + 0 + + 2801.668 + 12456.35 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 852a904e-5051-41c4-bd2e-4fa4a61a1412 + Evaluate Length + Evaluate Length + + + + + + 2816 + 10541 + 144 + 64 + + + 2890 + 10573 + + + + + + Curve to evaluate + 4714887a-6a76-445e-80db-1ac7d26fcc2b + Curve + Curve + false + a1fd42b8-c6dd-4799-a97e-644d20681eee + 1 + + + + + + 2818 + 10543 + 57 + 20 + + + 2848 + 10553 + + + + + + + + Length factor for curve evaluation + 3c415b24-4842-42da-a2c5-d7d56b124c52 + Length + Length + false + 0 + + + + + + 2818 + 10563 + 57 + 20 + + + 2848 + 10573 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + a00e067a-2433-4d4e-bfcf-1395ed3570db + Normalized + Normalized + false + 0 + + + + + + 2818 + 10583 + 57 + 20 + + + 2848 + 10593 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 2ca71a11-832e-437e-8324-1091bbde1db1 + Point + Point + false + 0 + + + + + + 2905 + 10543 + 53 + 20 + + + 2933 + 10553 + + + + + + + + Tangent vector at the specified length + ef8f9d17-df24-437e-877c-b1e41d85b138 + Tangent + Tangent + false + 0 + + + + + + 2905 + 10563 + 53 + 20 + + + 2933 + 10573 + + + + + + + + Curve parameter at the specified length + a82441d4-4a52-4645-a0a1-79576a50c728 + Parameter + Parameter + false + 0 + + + + + + 2905 + 10583 + 53 + 20 + + + 2933 + 10593 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 81a6a5dd-5254-4136-8fa8-e24714b0cbad + Expression + Expression + + + + + + 2791 + 10319 + 194 + 28 + + + 2891 + 10333 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 157206c1-ab42-4318-96ab-ad74bada3374 + Variable O + O + true + 2b2ee6d2-d98e-4bdf-9429-42273788f8ff + 1 + + + + + + 2793 + 10321 + 14 + 24 + + + 2801.5 + 10333 + + + + + + + + Result of expression + aa9e8752-ce5c-42d3-8dc2-5932c4fb9e08 + Result + + false + 0 + + + + + + 2974 + 10321 + 9 + 24 + + + 2980 + 10333 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 45266b01-7b74-4de8-9ea4-1aaeed8c1eec + Deconstruct + Deconstruct + + + + + + 2822 + 10453 + 132 + 64 + + + 2869 + 10485 + + + + + + Input point + 9c49fa7c-a96f-49d4-b2e3-9064f5977a10 + Point + Point + false + 2ca71a11-832e-437e-8324-1091bbde1db1 + 1 + + + + + + 2824 + 10455 + 30 + 60 + + + 2840.5 + 10485 + + + + + + + + Point {x} component + 2b2ee6d2-d98e-4bdf-9429-42273788f8ff + X component + X component + false + 0 + + + + + + 2884 + 10455 + 68 + 20 + + + 2919.5 + 10465 + + + + + + + + Point {y} component + 504f6ffa-55e6-43e4-bda1-de4df5ad0700 + Y component + Y component + false + 0 + + + + + + 2884 + 10475 + 68 + 20 + + + 2919.5 + 10485 + + + + + + + + Point {z} component + 15b65946-9ce1-428d-93ce-5c1a40cb9cb8 + Z component + Z component + false + 0 + + + + + + 2884 + 10495 + 68 + 20 + + + 2919.5 + 10505 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 66c7d9bd-29ad-462d-b663-7baf7b463b5a + Panel + + false + 0 + aa9e8752-ce5c-42d3-8dc2-5932c4fb9e08 + 1 + Double click to edit panel content… + + + + + + 2811 + 10291 + 160 + 20 + + 0 + 0 + 0 + + 2811.145 + 10291.03 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 374cb792-533f-446a-ae0e-b3bc386a0522 + Expression + Expression + + + + + + 2791 + 10233 + 194 + 28 + + + 2891 + 10247 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4568c64c-2f77-4d7c-b013-9072ec0eaa8f + Variable O + O + true + 504f6ffa-55e6-43e4-bda1-de4df5ad0700 + 1 + + + + + + 2793 + 10235 + 14 + 24 + + + 2801.5 + 10247 + + + + + + + + Result of expression + 24498af1-4bef-4f71-b7a7-f0a40381fc09 + Result + + false + 0 + + + + + + 2974 + 10235 + 9 + 24 + + + 2980 + 10247 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f1845088-2665-4e94-b3b9-78b3dcda391d + Panel + + false + 0 + 24498af1-4bef-4f71-b7a7-f0a40381fc09 + 1 + Double click to edit panel content… + + + + + + 2811 + 10202 + 160 + 20 + + 0 + 0 + 0 + + 2811.145 + 10202.6 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + bac62c71-29c9-436a-b5bb-4e2895fa0124 + Division + Division + + + + + + 2847 + 10131 + 82 + 44 + + + 2878 + 10153 + + + + + + Item to divide (dividend) + 8d6c97b4-990b-4de2-8932-3a52dec3e215 + A + A + false + 66c7d9bd-29ad-462d-b663-7baf7b463b5a + 1 + + + + + + 2849 + 10133 + 14 + 20 + + + 2857.5 + 10143 + + + + + + + + Item to divide with (divisor) + ca8f01e2-4cd1-402a-a667-dd3e7cb74f49 + B + B + false + f1845088-2665-4e94-b3b9-78b3dcda391d + 1 + + + + + + 2849 + 10153 + 14 + 20 + + + 2857.5 + 10163 + + + + + + + + The result of the Division + c0a66db3-05c3-4a8c-b9dc-4d9db92778ae + Result + Result + false + 0 + + + + + + 2893 + 10133 + 34 + 40 + + + 2911.5 + 10153 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c9a78eeb-6570-40b7-a6b2-6846321790d3 + Panel + + false + 0 + a95966a7-ea64-4957-b7d7-09be00ba5fe2 + 1 + Double click to edit panel content… + + + + + + 2811 + 10047 + 160 + 20 + + 0 + 0 + 0 + + 2811.203 + 10047.72 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 985368d2-fe10-4d78-ab09-0fb0a2c36be2 + Expression + Expression + + + + + + 2791 + 10084 + 194 + 28 + + + 2891 + 10098 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2c5c6136-77d7-487c-803a-208d46548e7e + Variable O + O + true + c0a66db3-05c3-4a8c-b9dc-4d9db92778ae + 1 + + + + + + 2793 + 10086 + 14 + 24 + + + 2801.5 + 10098 + + + + + + + + Result of expression + edcf80aa-6916-43fb-a4f1-c6c283257647 + Result + + false + 0 + + + + + + 2974 + 10086 + 9 + 24 + + + 2980 + 10098 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a95966a7-ea64-4957-b7d7-09be00ba5fe2 + Relay + + false + edcf80aa-6916-43fb-a4f1-c6c283257647 + 1 + + + + + + 2868 + 10009 + 40 + 16 + + + 2888 + 10017 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + df8758b2-500d-4069-81dd-a88445f1e688 + Addition + Addition + + + + + + 2847 + 9946 + 82 + 44 + + + 2878 + 9968 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + a4cb56d1-b5b5-4d26-bbb7-c654fcfeede4 + A + A + true + f1845088-2665-4e94-b3b9-78b3dcda391d + 1 + + + + + + 2849 + 9948 + 14 + 20 + + + 2857.5 + 9958 + + + + + + + + Second item for addition + e6b30dfa-02be-473f-80f7-dedf65668b30 + B + B + true + 66c7d9bd-29ad-462d-b663-7baf7b463b5a + 1 + + + + + + 2849 + 9968 + 14 + 20 + + + 2857.5 + 9978 + + + + + + + + Result of addition + c06abffe-5c17-4448-957b-aa786d18d656 + Result + Result + false + 0 + + + + + + 2893 + 9948 + 34 + 40 + + + 2911.5 + 9968 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + eb120ca0-0ff6-46cb-b130-cf60a5f94465 + Division + Division + + + + + + 2847 + 9796 + 82 + 44 + + + 2878 + 9818 + + + + + + Item to divide (dividend) + dc7eb66d-e721-4fd1-a3ab-7b1c7d172c84 + A + A + false + 27ccc10c-171d-4c69-a49b-b16712c5b030 + 1 + + + + + + 2849 + 9798 + 14 + 20 + + + 2857.5 + 9808 + + + + + + + + Item to divide with (divisor) + d0dfc509-725f-407f-aa70-1c2cefd4200e + B + B + false + 0 + + + + + + 2849 + 9818 + 14 + 20 + + + 2857.5 + 9828 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + f889d4f2-95c1-4ce8-b6b7-68da75fe5436 + Result + Result + false + 0 + + + + + + 2893 + 9798 + 34 + 40 + + + 2911.5 + 9818 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 389aa786-c3b4-496b-83f0-a1a246a30e2b + Expression + Expression + + + + + + 2791 + 9748 + 194 + 28 + + + 2891 + 9762 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7a60aad7-c372-4c57-86cb-4c684003fe52 + Variable O + O + true + f889d4f2-95c1-4ce8-b6b7-68da75fe5436 + 1 + + + + + + 2793 + 9750 + 14 + 24 + + + 2801.5 + 9762 + + + + + + + + Result of expression + aee029a4-9aa4-479c-86d7-8c49ca9805b2 + Result + + false + 0 + + + + + + 2974 + 9750 + 9 + 24 + + + 2980 + 9762 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + aded80e6-bb12-4515-a081-336e91457834 + Panel + + false + 0 + aee029a4-9aa4-479c-86d7-8c49ca9805b2 + 1 + Double click to edit panel content… + + + + + + 2811 + 9718 + 160 + 20 + + 0 + 0 + 0 + + 2811.145 + 9718.942 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 27ccc10c-171d-4c69-a49b-b16712c5b030 + Panel + + false + 0 + c5d9651e-226e-4f93-b2fd-90bb3dbf63d9 + 1 + Double click to edit panel content… + + + + + + 2811 + 9870 + 160 + 20 + + 0 + 0 + 0 + + 2811.145 + 9870.853 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d27685f1-474c-4ad8-a45e-702164d36f6d + Expression + Expression + + + + + + 2791 + 9899 + 194 + 28 + + + 2891 + 9913 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 410640f2-10f1-4b9c-a6cf-553733d8f7cb + Variable O + O + true + c06abffe-5c17-4448-957b-aa786d18d656 + 1 + + + + + + 2793 + 9901 + 14 + 24 + + + 2801.5 + 9913 + + + + + + + + Result of expression + c5d9651e-226e-4f93-b2fd-90bb3dbf63d9 + Result + + false + 0 + + + + + + 2974 + 9901 + 9 + 24 + + + 2980 + 9913 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 5eb498a8-9e2a-4f4d-817c-7ad083a5967c + Scale + Scale + + + + + + 2811 + 9625 + 154 + 64 + + + 2895 + 9657 + + + + + + Base geometry + 61d635cf-7d82-44d9-8287-80e464f5b694 + Geometry + Geometry + true + 8020b978-8059-4fb8-9dfc-499634e3eb36 + 1 + + + + + + 2813 + 9627 + 67 + 20 + + + 2856 + 9637 + + + + + + + + Center of scaling + 206a0f7a-667d-4788-afba-45f96f0c6905 + Center + Center + false + 0 + + + + + + 2813 + 9647 + 67 + 20 + + + 2856 + 9657 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + d1b5d377-575b-41af-95da-56e8a19c7f59 + 1/X + Factor + Factor + false + aded80e6-bb12-4515-a081-336e91457834 + 1 + + + + + + 2813 + 9667 + 67 + 20 + + + 2856 + 9677 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + c07ab784-3c82-4b45-8ddc-07ac374aeffa + Geometry + Geometry + false + 0 + + + + + + 2910 + 9627 + 53 + 30 + + + 2938 + 9642 + + + + + + + + Transformation data + 27dd4a64-043b-43bb-a256-0a45ea81567f + Transform + Transform + false + 0 + + + + + + 2910 + 9657 + 53 + 30 + + + 2938 + 9672 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + Curve + Curve + false + c07ab784-3c82-4b45-8ddc-07ac374aeffa + 1 + + + + + + 2879 + 9129 + 50 + 24 + + + 2904.118 + 9141.304 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3ad53410-543a-415e-9b3c-24de86d30cb0 + Expression + Expression + + + + + + 2791 + 10406 + 194 + 28 + + + 2891 + 10420 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4c745894-eaa5-4669-8cbf-c69e90e5c5ba + Variable O + O + true + 15b65946-9ce1-428d-93ce-5c1a40cb9cb8 + 1 + + + + + + 2793 + 10408 + 14 + 24 + + + 2801.5 + 10420 + + + + + + + + Result of expression + 3e48293e-a9a4-4b7a-9e70-854c51987645 + Result + + false + 0 + + + + + + 2974 + 10408 + 9 + 24 + + + 2980 + 10420 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4b26507f-868d-45c5-8260-3c0775a0897d + Panel + + false + 0 + 3e48293e-a9a4-4b7a-9e70-854c51987645 + 1 + Double click to edit panel content… + + + + + + 2811 + 10376 + 160 + 20 + + 0 + 0 + 0 + + 2811.017 + 10376.8 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + b87313ab-683d-437f-84f9-c4631a1cfdfb + Evaluate Length + Evaluate Length + + + + + + 2816 + 9542 + 144 + 64 + + + 2890 + 9574 + + + + + + Curve to evaluate + 69475151-b588-4d2e-afa9-ea5c3c17fb6e + Curve + Curve + false + c07ab784-3c82-4b45-8ddc-07ac374aeffa + 1 + + + + + + 2818 + 9544 + 57 + 20 + + + 2848 + 9554 + + + + + + + + Length factor for curve evaluation + 5a470922-56e6-499f-bea0-07027ee34d9e + Length + Length + false + 0 + + + + + + 2818 + 9564 + 57 + 20 + + + 2848 + 9574 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 0f6a5a19-7acc-4965-ab8d-50a9a096737a + Normalized + Normalized + false + 0 + + + + + + 2818 + 9584 + 57 + 20 + + + 2848 + 9594 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + c1b5e8bc-9fbc-402a-a7df-de66d786dc1f + Point + Point + false + 0 + + + + + + 2905 + 9544 + 53 + 20 + + + 2933 + 9554 + + + + + + + + Tangent vector at the specified length + 5b8dd0bb-4d03-478e-b66a-b8d6e987f354 + Tangent + Tangent + false + 0 + + + + + + 2905 + 9564 + 53 + 20 + + + 2933 + 9574 + + + + + + + + Curve parameter at the specified length + c2ffa1b1-5414-4a45-b3f6-ede4f543b020 + Parameter + Parameter + false + 0 + + + + + + 2905 + 9584 + 53 + 20 + + + 2933 + 9594 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d5df7362-ace1-438d-a2e8-b69f30a93618 + Expression + Expression + + + + + + 2791 + 9325 + 194 + 28 + + + 2891 + 9339 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9258d55a-68e1-42e7-ba8d-43fe08f28eca + Variable O + O + true + 772165b2-0aa3-4b64-9628-839c09327ef0 + 1 + + + + + + 2793 + 9327 + 14 + 24 + + + 2801.5 + 9339 + + + + + + + + Result of expression + 9f03dc3c-6605-4a0b-8bfe-4d803586c26b + Result + + false + 0 + + + + + + 2974 + 9327 + 9 + 24 + + + 2980 + 9339 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 15fd20f0-1058-4765-bd6d-bf7e3601c6ea + Deconstruct + Deconstruct + + + + + + 2822 + 9459 + 132 + 64 + + + 2869 + 9491 + + + + + + Input point + 4ee98b37-12d2-44aa-87fa-92c4937e4f98 + Point + Point + false + c1b5e8bc-9fbc-402a-a7df-de66d786dc1f + 1 + + + + + + 2824 + 9461 + 30 + 60 + + + 2840.5 + 9491 + + + + + + + + Point {x} component + 772165b2-0aa3-4b64-9628-839c09327ef0 + X component + X component + false + 0 + + + + + + 2884 + 9461 + 68 + 20 + + + 2919.5 + 9471 + + + + + + + + Point {y} component + 07724da5-4f70-4ab0-a131-d2bc9e1d0490 + Y component + Y component + false + 0 + + + + + + 2884 + 9481 + 68 + 20 + + + 2919.5 + 9491 + + + + + + + + Point {z} component + f53326c4-29ba-4f2d-8f77-be5f2f627c59 + Z component + Z component + false + 0 + + + + + + 2884 + 9501 + 68 + 20 + + + 2919.5 + 9511 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b4ca4350-099e-4bb2-a4bc-362a6f55955e + Panel + + false + 0 + 9f03dc3c-6605-4a0b-8bfe-4d803586c26b + 1 + Double click to edit panel content… + + + + + + 2823 + 9259 + 160 + 20 + + 0 + 0 + 0 + + 2823.4 + 9259.304 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + acf3251a-f637-45d9-9c01-5780e7bdd10b + Expression + Expression + + + + + + 2804 + 9201 + 194 + 28 + + + 2904 + 9215 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0c1ccd0d-1424-4483-bbf7-e2035b1be211 + Variable O + O + true + 07724da5-4f70-4ab0-a131-d2bc9e1d0490 + 1 + + + + + + 2806 + 9203 + 14 + 24 + + + 2814.5 + 9215 + + + + + + + + Result of expression + 12b40d20-1096-4520-bf74-1865c0504a2b + Result + + false + 0 + + + + + + 2987 + 9203 + 9 + 24 + + + 2993 + 9215 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 67c46ea0-3552-4a78-9bad-2a4011c0ee60 + Panel + + false + 0 + 12b40d20-1096-4520-bf74-1865c0504a2b + 1 + Double click to edit panel content… + + + + + + 2823 + 9172 + 160 + 20 + + 0 + 0 + 0 + + 2823.4 + 9172.603 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e377c3a4-d1c3-496e-9d02-4580852cab7f + Expression + Expression + + + + + + 2791 + 9411 + 194 + 28 + + + 2891 + 9425 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 21ea2b06-e65f-4b86-bfc2-f0f5a8940e78 + Variable O + O + true + f53326c4-29ba-4f2d-8f77-be5f2f627c59 + 1 + + + + + + 2793 + 9413 + 14 + 24 + + + 2801.5 + 9425 + + + + + + + + Result of expression + 4d0482bf-0d45-41cd-a279-b89b98c6634f + Result + + false + 0 + + + + + + 2974 + 9413 + 9 + 24 + + + 2980 + 9425 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + efb9e513-73c3-4e1d-af61-ff13277f6386 + Panel + + false + 0 + 4d0482bf-0d45-41cd-a279-b89b98c6634f + 1 + Double click to edit panel content… + + + + + + 2811 + 9383 + 160 + 20 + + 0 + 0 + 0 + + 2811.145 + 9383.522 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 006de0bd-a99a-4cec-937d-c3306770ce03 + Panel + + false + 0 + 0 + 0 256 0.0013733120705119695 +0 4096 0.0000053644183496292 + + + + + + 2720 + 12495 + 379 + 104 + + 0 + 0 + 0 + + 2720.645 + 12495.88 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b1b40210-218f-4eda-9d9f-b666946fe136 + Panel + + false + 1 + 9e758df8-3eb2-4a9b-a2a7-31ff7eb0b610 + 1 + Double click to edit panel content… + + + + + + 2714 + 11530 + 355 + 100 + + 0 + 0 + 0 + + 2714.224 + 11530.1 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0eb87ca0-6ac5-40ff-9940-c146c824e945 + Expression + Expression + + + + + + 2802 + 11676 + 194 + 28 + + + 2902 + 11690 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + bb9ecb24-d4d2-43db-83d4-970904babf5f + Variable O + O + true + 63c92217-d37f-4363-846e-d0e6c9bbeff9 + 1 + + + + + + 2804 + 11678 + 14 + 24 + + + 2812.5 + 11690 + + + + + + + + Result of expression + 9e758df8-3eb2-4a9b-a2a7-31ff7eb0b610 + Result + + false + 0 + + + + + + 2985 + 11678 + 9 + 24 + + + 2991 + 11690 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 841bc79c-9937-423d-9430-76e4ebfeb004 + Number + Number + false + fce57c1e-7c8c-442e-8c34-f03322b193c3 + 1 + + + + + + 2880 + 13024 + 50 + 24 + + + 2905.571 + 13036.16 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 1 + 64923356-6497-46c4-a05e-5b8f988355e4 + Group + Curve + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 99bde510-8938-4c7b-a447-2b979324a643 + Expression + Expression + + + + + + 2802 + 12157 + 194 + 28 + + + 2902 + 12171 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + dd37c0ef-f4e0-4aae-86ec-02a981a1c5c5 + Variable O + O + true + 51f60437-3aff-4578-a646-e734c437b992 + 1 + + + + + + 2804 + 12159 + 14 + 24 + + + 2812.5 + 12171 + + + + + + + + Result of expression + cffc8100-2777-4619-b131-1a5e819d40fd + Result + + false + 0 + + + + + + 2985 + 12159 + 9 + 24 + + + 2991 + 12171 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d6496b1d-3cbc-47ce-a7e8-7ec952159dbc + Panel + + false + 0 + cffc8100-2777-4619-b131-1a5e819d40fd + 1 + Double click to edit panel content… + + + + + + 2804 + 11875 + 194 + 271 + + 0 + 0 + 0 + + 2804.914 + 11875.66 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 469590de-f73d-4fcc-ae7d-120c40eb69d3 + Relay + + false + d6496b1d-3cbc-47ce-a7e8-7ec952159dbc + 1 + + + + + + 2879 + 11834 + 40 + 16 + + + 2899 + 11842 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 51f60437-3aff-4578-a646-e734c437b992 + Relay + + false + f1a5d7bc-42be-4799-83f9-ac28feb25791 + 1 + + + + + + 2879 + 12202 + 40 + 16 + + + 2899 + 12210 + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 814a02f9-581f-4e49-8bf6-3bf7302aebc5 + End Points + End Points + + + + + + 3248 + 9642 + 96 + 44 + + + 3298 + 9664 + + + + + + Curve to evaluate + 93f29955-6784-4f34-a401-d9bc3adc595b + Curve + Curve + false + 3a9461d7-facc-4583-996d-d7d4e94813c3 + 1 + + + + + + 3250 + 9644 + 33 + 40 + + + 3268 + 9664 + + + + + + + + Curve start point + 9ee6a458-c21b-4a29-a210-ad0beb88e15d + Start + Start + false + 0 + + + + + + 3313 + 9644 + 29 + 20 + + + 3329 + 9654 + + + + + + + + Curve end point + 772a479f-460c-4857-b161-78e28aa2baad + End + End + false + 0 + + + + + + 3313 + 9664 + 29 + 20 + + + 3329 + 9674 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + c839cd89-8621-40a9-9be8-12b4c18d2007 + Rectangle 2Pt + Rectangle 2Pt + + + + + + 3233 + 9539 + 126 + 84 + + + 3291 + 9581 + + + + + + Rectangle base plane + b916715c-5f60-4ccc-898f-6f59c6412c27 + Plane + Plane + false + 0 + + + + + + 3235 + 9541 + 41 + 20 + + + 3257 + 9551 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 8684c51f-07d4-4d76-a04b-9622da64aca6 + Point A + Point A + false + 9ee6a458-c21b-4a29-a210-ad0beb88e15d + 1 + + + + + + 3235 + 9561 + 41 + 20 + + + 3257 + 9571 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + a46377f7-8012-4046-91fe-271430f55d19 + Point B + Point B + false + 772a479f-460c-4857-b161-78e28aa2baad + 1 + + + + + + 3235 + 9581 + 41 + 20 + + + 3257 + 9591 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 90b47f91-3db2-4afa-a796-1a8cdb5cb354 + Radius + Radius + false + 0 + + + + + + 3235 + 9601 + 41 + 20 + + + 3257 + 9611 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + e29cb3aa-a7ca-4d17-ad50-0ab6c7208efd + Rectangle + Rectangle + false + 0 + + + + + + 3306 + 9541 + 51 + 40 + + + 3333 + 9561 + + + + + + + + Length of rectangle curve + 8483333f-27ca-48da-a2e0-d09035ba4bf9 + Length + Length + false + 0 + + + + + + 3306 + 9581 + 51 + 40 + + + 3333 + 9601 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + 8054dab8-ba00-4865-aba6-d62643f5c374 + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 3225 + 9456 + 142 + 64 + + + 3293 + 9488 + + + + + + Rectangle to deconstruct + b217f484-1fc1-4362-97e6-f64c6540e8d3 + Rectangle + Rectangle + false + e29cb3aa-a7ca-4d17-ad50-0ab6c7208efd + 1 + + + + + + 3227 + 9458 + 51 + 60 + + + 3254 + 9488 + + + + + + + + Base plane of rectangle + a8bf20ad-eece-47ab-8014-92cec9444699 + Base Plane + Base Plane + false + 0 + + + + + + 3308 + 9458 + 57 + 20 + + + 3338 + 9468 + + + + + + + + Size interval along base plane X axis + ea727ea2-7915-4659-918a-519045370508 + X Interval + X Interval + false + 0 + + + + + + 3308 + 9478 + 57 + 20 + + + 3338 + 9488 + + + + + + + + Size interval along base plane Y axis + a7098e89-7eb6-4849-a975-7649e1c718d7 + Y Interval + Y Interval + false + 0 + + + + + + 3308 + 9498 + 57 + 20 + + + 3338 + 9508 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 7810f986-6d49-4017-a9c8-6d62a5e28af6 + Deconstruct Domain + Deconstruct Domain + + + + + + 3244 + 9329 + 104 + 44 + + + 3302 + 9351 + + + + + + Base domain + 4cf2f1e7-60ed-4e4e-8484-ee187d7254bc + Domain + Domain + false + a7098e89-7eb6-4849-a975-7649e1c718d7 + 1 + + + + + + 3246 + 9331 + 41 + 40 + + + 3268 + 9351 + + + + + + + + Start of domain + cfc707e1-fb19-4645-b47a-be20d5541996 + Start + Start + false + 0 + + + + + + 3317 + 9331 + 29 + 20 + + + 3333 + 9341 + + + + + + + + End of domain + 8cbecbaa-a916-43b7-8f3e-74429cfbc1e3 + End + End + false + 0 + + + + + + 3317 + 9351 + 29 + 20 + + + 3333 + 9361 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 930f3d63-3833-416d-b6b8-c52c5c8ad2a3 + Deconstruct Domain + Deconstruct Domain + + + + + + 3244 + 9391 + 104 + 44 + + + 3302 + 9413 + + + + + + Base domain + 4d64d7c0-704a-49ea-a418-c45337c01f72 + Domain + Domain + false + ea727ea2-7915-4659-918a-519045370508 + 1 + + + + + + 3246 + 9393 + 41 + 40 + + + 3268 + 9413 + + + + + + + + Start of domain + 78aee327-8269-48f4-b511-852990d37069 + Start + Start + false + 0 + + + + + + 3317 + 9393 + 29 + 20 + + + 3333 + 9403 + + + + + + + + End of domain + 49f5104f-5deb-4f91-879f-01c9f892ff25 + End + End + false + 0 + + + + + + 3317 + 9413 + 29 + 20 + + + 3333 + 9423 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + 388908ed-2b06-4fca-9122-445447916565 + Scale NU + Scale NU + + + + + + 3209 + 9194 + 154 + 104 + + + 3293 + 9246 + + + + + + Base geometry + 51616615-bd72-4841-b87b-f1ee188a115f + Geometry + Geometry + true + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 1 + + + + + + 3211 + 9196 + 67 + 20 + + + 3254 + 9206 + + + + + + + + Base plane + a4b61279-6b13-4434-bffa-0ce34b0ed10d + Plane + Plane + false + 0 + + + + + + 3211 + 9216 + 67 + 20 + + + 3254 + 9226 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + d3f46b4f-b22f-4d60-97d6-18b964d98b3d + 1/X + Scale X + Scale X + false + 49f5104f-5deb-4f91-879f-01c9f892ff25 + 1 + + + + + + 3211 + 9236 + 67 + 20 + + + 3254 + 9246 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + cef63be5-44fa-4f83-b3ef-9b4534759bdc + 1/X + Scale Y + Scale Y + false + 8cbecbaa-a916-43b7-8f3e-74429cfbc1e3 + 1 + + + + + + 3211 + 9256 + 67 + 20 + + + 3254 + 9266 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + d4066134-43b6-493b-a641-de935e9079de + Scale Z + Scale Z + false + 0 + + + + + + 3211 + 9276 + 67 + 20 + + + 3254 + 9286 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 4b1bb837-b044-4eaa-9877-25583c26adba + Geometry + Geometry + false + 0 + + + + + + 3308 + 9196 + 53 + 50 + + + 3336 + 9221 + + + + + + + + Transformation data + 8571b2f5-43a8-4fa7-be2a-129942ea7664 + Transform + Transform + false + 0 + + + + + + 3308 + 9246 + 53 + 50 + + + 3336 + 9271 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 814a02f9-581f-4e49-8bf6-3bf7302aebc5 + c839cd89-8621-40a9-9be8-12b4c18d2007 + 8054dab8-ba00-4865-aba6-d62643f5c374 + 7810f986-6d49-4017-a9c8-6d62a5e28af6 + 930f3d63-3833-416d-b6b8-c52c5c8ad2a3 + 388908ed-2b06-4fca-9122-445447916565 + 3a9461d7-facc-4583-996d-d7d4e94813c3 + f32e469d-5411-4757-a641-2639d4f5739a + 8 + 2f0d796f-cc5c-4432-9d09-1e4402880507 + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 3a9461d7-facc-4583-996d-d7d4e94813c3 + Curve + Curve + false + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 1 + + + + + + 3273 + 9708 + 50 + 24 + + + 3298.409 + 9720.144 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + f32e469d-5411-4757-a641-2639d4f5739a + Curve + Curve + false + 4b1bb837-b044-4eaa-9877-25583c26adba + 1 + + + + + + 3252 + 9129 + 50 + 24 + + + 3277.651 + 9141.914 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 288f5162-987e-4cef-b3b6-6aacb9ca7b1c + Panel + + false + 0 + 0 + 0.0013733120705119695 + + + + + + 2773 + 12653 + 270 + 20 + + 0 + 0 + 0 + + 2773.709 + 12653.13 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bead7499-c245-46b1-b24d-388fd63224ee + Panel + + false + 0 + 0 + 0.0000710748925500000001421 + + + + + + 2773 + 12632 + 270 + 20 + + 0 + 0 + 0 + + 2773.709 + 12632.48 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e858f749-079f-4103-af42-3ad8b3c8087d + Panel + + false + 0 + 0 + 0.0013733120705119695 + + + + + + 2773 + 12687 + 270 + 20 + + 0 + 0 + 0 + + 2773.709 + 12687.9 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 4b201f39-b0bc-4219-a4e7-450d7470f118 + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 2867 + 8912 + 50 + 24 + + + 2892.659 + 8924.342 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 59a00a81-4b6c-4039-a191-eefacc5e6e0e + Relay + + false + 63c92217-d37f-4363-846e-d0e6c9bbeff9 + 1 + + + + + + 2859 + 11519 + 40 + 16 + + + 2879 + 11527 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b05b142f-4c7d-4ff8-8a0d-e4cc0cf78eb2 + Relay + + false + 01865622-a23d-4cbb-8415-2e750fb3994b + 1 + + + + + + 2869 + 11296 + 40 + 16 + + + 2889 + 11304 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 97169a5c-4e5b-4b8b-88ff-cb094938af11 + Scale + Scale + + + + + + 2818 + 11332 + 154 + 64 + + + 2902 + 11364 + + + + + + Base geometry + 0f872278-1ab8-4ef6-ac37-b839281a9d4d + Geometry + Geometry + true + 120b5798-7e93-4f8d-a27d-8c208f89e6e7 + 1 + + + + + + 2820 + 11334 + 67 + 20 + + + 2863 + 11344 + + + + + + + + Center of scaling + d90ea1a8-7a12-4940-9d5f-7f77d1ed0c20 + Center + Center + false + 0 + + + + + + 2820 + 11354 + 67 + 20 + + + 2863 + 11364 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 37773065-9f8d-4741-84be-9dfb031cf33d + 2^X + Factor + Factor + false + 916c0763-c6f9-41e1-a247-a9935450203a + 1 + + + + + + 2820 + 11374 + 67 + 20 + + + 2863 + 11384 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 01865622-a23d-4cbb-8415-2e750fb3994b + Geometry + Geometry + false + 0 + + + + + + 2917 + 11334 + 53 + 30 + + + 2945 + 11349 + + + + + + + + Transformation data + 90f87fe3-5646-43a3-8067-c36fc01b17cc + Transform + Transform + false + 0 + + + + + + 2917 + 11364 + 53 + 30 + + + 2945 + 11379 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 916c0763-c6f9-41e1-a247-a9935450203a + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 0.00000 + + + + + + 2765 + 11420 + 250 + 20 + + + 2765.691 + 11420.19 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 97169a5c-4e5b-4b8b-88ff-cb094938af11 + 916c0763-c6f9-41e1-a247-a9935450203a + 2 + 9cd7c784-9711-43cc-9f95-327b458a1a47 + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 930e1928-ff32-4623-a204-dbf6553b9ace + Expression + + + + + + + 2863 + 12920 + 79 + 44 + + + 2905 + 12942 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 13a7ab7c-aa1b-4d68-9510-29263815e578 + Variable X + X + true + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 2865 + 12922 + 14 + 20 + + + 2873.5 + 12932 + + + + + + + + Expression variable + 218c1d9e-67ed-430d-ac87-337c0904675a + Variable O + O + true + 0f7fe3af-0625-4ea2-86cc-301fc60faa51 + 1 + + + + + + 2865 + 12942 + 14 + 20 + + + 2873.5 + 12952 + + + + + + + + Result of expression + c49582fd-259a-4b4b-aac3-ff1ee9763cfb + Result + + false + 0 + + + + + + 2931 + 12922 + 9 + 40 + + + 2937 + 12942 + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 357984e9-07d0-47d5-bd53-1370d57f58af + cf825612-496f-4821-a060-32d498929978 + 40a7806f-4c7b-4563-879e-89409bce4ef4 + c0a08530-53a6-442d-ad4f-464e9427d0a4 + bf2ac55c-385c-4c6d-86e8-213bd1ba6066 + d7c3ad86-c94e-4259-87fc-5bd033cf3022 + eaa5c098-f7dd-4527-9c0c-09e062a36c27 + 5a116c03-7b29-4cd7-acc7-0f3b65d433c8 + 2d7fc846-37ba-46ee-b7b2-2d9ce679e10b + 7be1de6d-4099-4390-89b1-36b6971b74cd + d0fd9224-6131-4bf4-b87c-38f421c7eb9b + 01ecd1cf-cf8f-42c1-aaae-520eaa3d299a + f3c622b3-a086-4c07-93a2-a707bfffeb89 + 6e70809d-a15c-4679-b924-e6684569dc93 + c224342c-801f-4459-9224-44879ddf539f + 397453ad-d11d-42cc-870f-39a716fd5c56 + 2518abde-6525-444a-9e84-6bac6a5882c6 + 0326c0d8-acda-48f2-bcd5-dd44a9093472 + ab7a7616-c46b-47bb-ae5a-f8c00065e6df + bade2dc2-5919-4723-bde3-ebdd9bc0713a + cc518380-b3c5-4e15-b7d1-1f9222b726c1 + 7732fd6b-bd62-4a13-85b1-335385eebd9d + 44749250-6b73-416e-860a-b02fc977fb2c + f661b51e-e4dc-43fe-bad3-489f23f1f015 + f5774bb8-b16f-43a6-b6f9-3c1f5b5eb901 + 07b4f452-14fe-4d9b-8911-2846ce8a2353 + 6fee8773-befa-4289-9a03-49e8c8b7ab59 + 9c0a4513-44a8-42f6-bd2e-6973fda8c833 + aff11164-81a4-4b6a-b426-3c37a3aba6f8 + ae5b7e4a-1487-4326-8be1-d0dd4205e7d4 + 5a087567-6dc6-4ef0-a76f-11cea61ca2cc + bc0743aa-659e-45d5-9bea-0db4a089f73c + 7e40e0e9-af69-4c40-b8e2-54fdb5ed7cdf + f9d75b4a-e834-4f23-9f97-3ee0281841ee + 7973db4b-dfc0-471b-8bf6-36d4d73ba79b + 5753fe7b-bb38-45ab-951e-b95292caba06 + 9fd26e2e-159b-45d3-a3aa-eb9c6db66eee + 6559e3c8-fde8-4749-b27b-98e461438f55 + ed38ed7d-e0f5-462b-b8a3-49c29637923a + da5cd8a7-461a-49a2-8c10-1a3debd51b8f + 2878bc0e-f4f4-4aab-9925-622ba3ba7071 + b8997139-20b8-4636-9c2f-bdd73da0dd59 + 8a3128cb-9869-4bc0-884d-c17fe7f9ee09 + 373efc7b-7ef0-439a-9a16-1f7258fc5e55 + d5da0918-289c-48b2-8b9a-1c914601ede0 + ae54b2b4-eb20-470c-a4f7-1a494adc928b + dcc2bd9f-6534-44f7-95b6-bc46f92222ab + 36451f6a-9e35-4841-85e1-09e88eb0bd66 + 57ebdb18-79ac-4540-a02c-aff0d33ff282 + 1afe9178-133d-445c-a7bd-86fe87bf0dd8 + fdfcd0ad-d760-4e1d-be39-1c77b926f7b9 + 63605c91-1a92-45da-9fec-1773e7cb4a87 + a5bf279a-43c6-4872-8c06-fa8d70488afc + 2ab020dd-779c-4643-9971-14caeca422df + 2dd7f30c-898d-4362-85f0-9bbdb136696d + 53074449-1825-4369-9713-d1fab997895f + 8f15d4df-a295-4c2a-a427-ed66de400789 + c8ee08ba-9303-4b8a-985e-59ebf8f261a8 + bc46a4e8-63e5-43b7-8292-10edf85be72e + 6f154ebb-c8eb-4572-8858-a3b020c29c72 + ff7c83e6-f826-4fb2-97e8-da374b6987b1 + 9fcc136a-c294-42e3-afde-ea1143063a36 + 3031dd95-64d2-4192-879f-cabe57cc464d + 675924a5-f92c-48d7-83e2-3c58b8d6ec02 + 88626db3-5a1c-4d34-a75d-9c38c845ef23 + b858e84c-e354-43a3-8a52-1a2b2e8195ae + 764b73d1-9f00-406d-b582-3e039098b1dd + a5b20955-e9d2-4861-9b22-ec91cd61b1f9 + 03bb9ca6-76d4-43b8-9d81-8fb62e3faffd + aa551f67-344e-49d0-8c74-be78e2d0fe04 + 0503038e-a06a-4699-9a40-2b74c5e39009 + 7522b52d-f670-48c2-91d4-f06965855205 + e02fd8ec-0d7c-46b2-a3f4-d5df4817f722 + 274e2ba4-a290-4d43-a98e-6d03ec5eed7f + b76e1c16-6cff-4ccb-8b5a-ff60c32fb01a + 3f1fbdb4-eb91-4b3a-a8df-0596dfc0a31b + cdb54c3a-c1fe-47a5-b525-f5ed5bd3e9f9 + 7cf9c2b7-629e-4d4a-8851-b1749f393b38 + 48d28623-467f-490c-b1c3-34bfd421b511 + a5db96b2-971c-49df-9a5e-d9d32338d413 + 1ccb8a7e-2e79-44bd-955d-63367d09c98f + fe2bd48c-8bc7-431d-a3d5-89319eee1ab4 + f6d60644-d11a-4362-89c4-d1805280f077 + 83 + feb35d09-6af9-44d3-93b7-44d16535d96d + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + cf825612-496f-4821-a060-32d498929978 + 40a7806f-4c7b-4563-879e-89409bce4ef4 + c0a08530-53a6-442d-ad4f-464e9427d0a4 + bf2ac55c-385c-4c6d-86e8-213bd1ba6066 + d7c3ad86-c94e-4259-87fc-5bd033cf3022 + eaa5c098-f7dd-4527-9c0c-09e062a36c27 + 5a116c03-7b29-4cd7-acc7-0f3b65d433c8 + 2d7fc846-37ba-46ee-b7b2-2d9ce679e10b + 7be1de6d-4099-4390-89b1-36b6971b74cd + d0fd9224-6131-4bf4-b87c-38f421c7eb9b + 01ecd1cf-cf8f-42c1-aaae-520eaa3d299a + f3c622b3-a086-4c07-93a2-a707bfffeb89 + 6e70809d-a15c-4679-b924-e6684569dc93 + c224342c-801f-4459-9224-44879ddf539f + 397453ad-d11d-42cc-870f-39a716fd5c56 + 2518abde-6525-444a-9e84-6bac6a5882c6 + 0326c0d8-acda-48f2-bcd5-dd44a9093472 + ab7a7616-c46b-47bb-ae5a-f8c00065e6df + bade2dc2-5919-4723-bde3-ebdd9bc0713a + cc518380-b3c5-4e15-b7d1-1f9222b726c1 + 7732fd6b-bd62-4a13-85b1-335385eebd9d + 44749250-6b73-416e-860a-b02fc977fb2c + f661b51e-e4dc-43fe-bad3-489f23f1f015 + f5774bb8-b16f-43a6-b6f9-3c1f5b5eb901 + 07b4f452-14fe-4d9b-8911-2846ce8a2353 + 6fee8773-befa-4289-9a03-49e8c8b7ab59 + 9c0a4513-44a8-42f6-bd2e-6973fda8c833 + aff11164-81a4-4b6a-b426-3c37a3aba6f8 + ae5b7e4a-1487-4326-8be1-d0dd4205e7d4 + 5a087567-6dc6-4ef0-a76f-11cea61ca2cc + bc0743aa-659e-45d5-9bea-0db4a089f73c + 7e40e0e9-af69-4c40-b8e2-54fdb5ed7cdf + f9d75b4a-e834-4f23-9f97-3ee0281841ee + 7973db4b-dfc0-471b-8bf6-36d4d73ba79b + 5753fe7b-bb38-45ab-951e-b95292caba06 + 9fd26e2e-159b-45d3-a3aa-eb9c6db66eee + 6559e3c8-fde8-4749-b27b-98e461438f55 + ed38ed7d-e0f5-462b-b8a3-49c29637923a + da5cd8a7-461a-49a2-8c10-1a3debd51b8f + 2878bc0e-f4f4-4aab-9925-622ba3ba7071 + b8997139-20b8-4636-9c2f-bdd73da0dd59 + 8a3128cb-9869-4bc0-884d-c17fe7f9ee09 + 373efc7b-7ef0-439a-9a16-1f7258fc5e55 + d5da0918-289c-48b2-8b9a-1c914601ede0 + ae54b2b4-eb20-470c-a4f7-1a494adc928b + dcc2bd9f-6534-44f7-95b6-bc46f92222ab + 36451f6a-9e35-4841-85e1-09e88eb0bd66 + 57ebdb18-79ac-4540-a02c-aff0d33ff282 + 1afe9178-133d-445c-a7bd-86fe87bf0dd8 + fdfcd0ad-d760-4e1d-be39-1c77b926f7b9 + 63605c91-1a92-45da-9fec-1773e7cb4a87 + a5bf279a-43c6-4872-8c06-fa8d70488afc + 2ab020dd-779c-4643-9971-14caeca422df + 2dd7f30c-898d-4362-85f0-9bbdb136696d + 53074449-1825-4369-9713-d1fab997895f + 8f15d4df-a295-4c2a-a427-ed66de400789 + c8ee08ba-9303-4b8a-985e-59ebf8f261a8 + bc46a4e8-63e5-43b7-8292-10edf85be72e + 6f154ebb-c8eb-4572-8858-a3b020c29c72 + ff7c83e6-f826-4fb2-97e8-da374b6987b1 + 9fcc136a-c294-42e3-afde-ea1143063a36 + 3031dd95-64d2-4192-879f-cabe57cc464d + 675924a5-f92c-48d7-83e2-3c58b8d6ec02 + 88626db3-5a1c-4d34-a75d-9c38c845ef23 + b858e84c-e354-43a3-8a52-1a2b2e8195ae + 764b73d1-9f00-406d-b582-3e039098b1dd + a5b20955-e9d2-4861-9b22-ec91cd61b1f9 + 03bb9ca6-76d4-43b8-9d81-8fb62e3faffd + aa551f67-344e-49d0-8c74-be78e2d0fe04 + 0503038e-a06a-4699-9a40-2b74c5e39009 + 7522b52d-f670-48c2-91d4-f06965855205 + e02fd8ec-0d7c-46b2-a3f4-d5df4817f722 + 274e2ba4-a290-4d43-a98e-6d03ec5eed7f + b76e1c16-6cff-4ccb-8b5a-ff60c32fb01a + 3f1fbdb4-eb91-4b3a-a8df-0596dfc0a31b + cdb54c3a-c1fe-47a5-b525-f5ed5bd3e9f9 + 7cf9c2b7-629e-4d4a-8851-b1749f393b38 + 48d28623-467f-490c-b1c3-34bfd421b511 + a5db96b2-971c-49df-9a5e-d9d32338d413 + 79 + 357984e9-07d0-47d5-bd53-1370d57f58af + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7cf9c2b7-629e-4d4a-8851-b1749f393b38 + 1 + cf825612-496f-4821-a060-32d498929978 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + c0a08530-53a6-442d-ad4f-464e9427d0a4 + 1 + 40a7806f-4c7b-4563-879e-89409bce4ef4 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + bf2ac55c-385c-4c6d-86e8-213bd1ba6066 + 1 + c0a08530-53a6-442d-ad4f-464e9427d0a4 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d7c3ad86-c94e-4259-87fc-5bd033cf3022 + 1 + bf2ac55c-385c-4c6d-86e8-213bd1ba6066 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + eaa5c098-f7dd-4527-9c0c-09e062a36c27 + 1 + d7c3ad86-c94e-4259-87fc-5bd033cf3022 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 5a116c03-7b29-4cd7-acc7-0f3b65d433c8 + 1 + eaa5c098-f7dd-4527-9c0c-09e062a36c27 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 7be1de6d-4099-4390-89b1-36b6971b74cd + 1 + 5a116c03-7b29-4cd7-acc7-0f3b65d433c8 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 2d7fc846-37ba-46ee-b7b2-2d9ce679e10b + Curve + Curve + false + 0 + + + + + + 4319 + 13009 + 50 + 24 + + + 4344 + 13021.76 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 2d7fc846-37ba-46ee-b7b2-2d9ce679e10b + 1 + 7be1de6d-4099-4390-89b1-36b6971b74cd + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ae5b7e4a-1487-4326-8be1-d0dd4205e7d4 + 1 + d0fd9224-6131-4bf4-b87c-38f421c7eb9b + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f3c622b3-a086-4c07-93a2-a707bfffeb89 + 6e70809d-a15c-4679-b924-e6684569dc93 + c224342c-801f-4459-9224-44879ddf539f + 397453ad-d11d-42cc-870f-39a716fd5c56 + 2518abde-6525-444a-9e84-6bac6a5882c6 + 0326c0d8-acda-48f2-bcd5-dd44a9093472 + ab7a7616-c46b-47bb-ae5a-f8c00065e6df + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 7732fd6b-bd62-4a13-85b1-335385eebd9d + cc518380-b3c5-4e15-b7d1-1f9222b726c1 + d0fd9224-6131-4bf4-b87c-38f421c7eb9b + 7be1de6d-4099-4390-89b1-36b6971b74cd + 764b73d1-9f00-406d-b582-3e039098b1dd + a5b20955-e9d2-4861-9b22-ec91cd61b1f9 + 03bb9ca6-76d4-43b8-9d81-8fb62e3faffd + aa551f67-344e-49d0-8c74-be78e2d0fe04 + 0503038e-a06a-4699-9a40-2b74c5e39009 + 7522b52d-f670-48c2-91d4-f06965855205 + 675924a5-f92c-48d7-83e2-3c58b8d6ec02 + 88626db3-5a1c-4d34-a75d-9c38c845ef23 + 20 + 01ecd1cf-cf8f-42c1-aaae-520eaa3d299a + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + f3c622b3-a086-4c07-93a2-a707bfffeb89 + Duplicate Data + Duplicate Data + + + + + + 4298 + 14176 + 104 + 64 + + + 4357 + 14208 + + + + + + 1 + Data to duplicate + 14343319-cd02-4669-a49f-f73ffeb2bb4e + Data + Data + false + 02789ff3-d94b-4ea1-80c2-2772980cb58e + 1 + + + + + + 4300 + 14178 + 42 + 20 + + + 4322.5 + 14188 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 28895895-62f0-4b0d-af8d-ab8b2592f9cd + Number + Number + false + b858e84c-e354-43a3-8a52-1a2b2e8195ae + 1 + + + + + + 4300 + 14198 + 42 + 20 + + + 4322.5 + 14208 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + aec13b7b-053a-40b6-b550-536c26a6a70b + Order + Order + false + 0 + + + + + + 4300 + 14218 + 42 + 20 + + + 4322.5 + 14228 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + d99df55a-1c8d-40da-bccc-7dad57de9fb0 + Data + Data + false + 0 + + + + + + 4372 + 14178 + 28 + 60 + + + 4387.5 + 14208 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 6e70809d-a15c-4679-b924-e6684569dc93 + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 4284 + 12248 + 116 + 44 + + + 4345 + 12270 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 76999fdd-a81f-4946-abc6-f09c4a2a8313 + Forward + Forward + true + 1 + true + d99df55a-1c8d-40da-bccc-7dad57de9fb0 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 4286 + 12250 + 44 + 20 + + + 4309.5 + 12260 + + + + + + + + 1 + false + Script Variable Left + 29e54bf6-96e2-4879-8dfe-1f3d551cb8c5 + Left + Left + true + 1 + true + add59c49-60fd-466e-8329-83e0f790e31d + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 4286 + 12270 + 44 + 20 + + + 4309.5 + 12280 + + + + + + + + Print, Reflect and Error streams + f663f938-b589-4f5a-829d-1ccb35528ac4 + Output + Output + false + 0 + + + + + + 4360 + 12250 + 38 + 20 + + + 4380.5 + 12260 + + + + + + + + Output parameter Points + 31c6e3ed-8058-4483-b952-0f2d075ed585 + Points + Points + false + 0 + + + + + + 4360 + 12270 + 38 + 20 + + + 4380.5 + 12280 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 397453ad-d11d-42cc-870f-39a716fd5c56 + Series + Series + + + + + + 4295 + 13505 + 101 + 64 + + + 4345 + 13537 + + + + + + First number in the series + add8c1e8-fb04-47dc-b246-02137afd684e + Start + Start + false + 0 + + + + + + 4297 + 13507 + 33 + 20 + + + 4315 + 13517 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 95419e6e-036c-4c31-82a8-709fb060a427 + Step + Step + false + cdb54c3a-c1fe-47a5-b525-f5ed5bd3e9f9 + 1 + + + + + + 4297 + 13527 + 33 + 20 + + + 4315 + 13537 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + df9ee48d-319a-4a97-a9d8-6ec1af799c58 + Count + Count + false + b858e84c-e354-43a3-8a52-1a2b2e8195ae + 1 + + + + + + 4297 + 13547 + 33 + 20 + + + 4315 + 13557 + + + + + + + + 1 + Series of numbers + 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 + Series + Series + false + 0 + + + + + + 4360 + 13507 + 34 + 60 + + + 4378.5 + 13537 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 2518abde-6525-444a-9e84-6bac6a5882c6 + Number Slider + + false + 0 + + + + + + 4280 + 14407 + 150 + 20 + + + 4280.199 + 14407.03 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 0326c0d8-acda-48f2-bcd5-dd44a9093472 + Radians + Radians + + + + + + 4282 + 13718 + 120 + 28 + + + 4343 + 13732 + + + + + + Angle in degrees + e7e27e80-c658-4fcc-9307-b068b2b384e4 + Degrees + Degrees + false + dc3d55d3-969a-4cf8-b13b-b7109ec1f5c7 + 1 + + + + + + 4284 + 13720 + 44 + 24 + + + 4307.5 + 13732 + + + + + + + + Angle in radians + 11fa45ca-88cf-4812-aee3-063f9be7f594 + Radians + Radians + false + 0 + + + + + + 4358 + 13720 + 42 + 24 + + + 4380.5 + 13732 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + ab7a7616-c46b-47bb-ae5a-f8c00065e6df + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 4219 + 14046 + 251 + 20 + + + 4219.173 + 14046.87 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + cc518380-b3c5-4e15-b7d1-1f9222b726c1 + Interpolate (t) + Interpolate (t) + + + + + + 4283 + 11506 + 144 + 84 + + + 4369 + 11548 + + + + + + 1 + Interpolation points + a8c577b2-7068-49df-b6b6-00f6b99beef7 + Vertices + Vertices + false + 72240493-81f6-452f-95bf-65412ec6da40 + 1 + + + + + + 4285 + 11508 + 69 + 20 + + + 4321 + 11518 + + + + + + + + Tangent at start of curve + 9ed96564-3f60-422b-ab1f-e1fdb6b4359e + Tangent Start + Tangent Start + false + 0 + + + + + + 4285 + 11528 + 69 + 20 + + + 4321 + 11538 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 60ee1ef5-c1ba-4111-b8f6-a0158bdb7595 + Tangent End + Tangent End + false + 0 + + + + + + 4285 + 11548 + 69 + 20 + + + 4321 + 11558 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 4268a259-be56-469b-95d2-37f3e4d28ef3 + KnotStyle + KnotStyle + false + 0 + + + + + + 4285 + 11568 + 69 + 20 + + + 4321 + 11578 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 863776ad-d527-4591-8dd4-bc625085f22d + Curve + Curve + false + 0 + + + + + + 4384 + 11508 + 41 + 26 + + + 4406 + 11521.33 + + + + + + + + Curve length + 78c1753b-10e3-46ec-8da8-90ccd5672ef4 + Length + Length + false + 0 + + + + + + 4384 + 11534 + 41 + 27 + + + 4406 + 11548 + + + + + + + + Curve domain + 05bc9511-f012-404c-8dfb-a23edd105dff + Domain + Domain + false + 0 + + + + + + 4384 + 11561 + 41 + 27 + + + 4406 + 11574.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f3c622b3-a086-4c07-93a2-a707bfffeb89 + 6e70809d-a15c-4679-b924-e6684569dc93 + c224342c-801f-4459-9224-44879ddf539f + 397453ad-d11d-42cc-870f-39a716fd5c56 + 2518abde-6525-444a-9e84-6bac6a5882c6 + 0326c0d8-acda-48f2-bcd5-dd44a9093472 + ab7a7616-c46b-47bb-ae5a-f8c00065e6df + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 274e2ba4-a290-4d43-a98e-6d03ec5eed7f + f9d75b4a-e834-4f23-9f97-3ee0281841ee + 3031dd95-64d2-4192-879f-cabe57cc464d + e02fd8ec-0d7c-46b2-a3f4-d5df4817f722 + b76e1c16-6cff-4ccb-8b5a-ff60c32fb01a + f7481ad9-51e1-4172-944b-f2589d39af07 + 2bfa03b7-1869-4350-8b7f-3dd5b338d013 + 42ac9166-e290-4933-97c7-83ef0baf3f86 + 16 + 7732fd6b-bd62-4a13-85b1-335385eebd9d + Group + + + + + + + + + + + 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 + 44749250-6b73-416e-860a-b02fc977fb2c + Evaluate Length + Evaluate Length + + + + + + 4270 + 11315 + 144 + 64 + + + 4344 + 11347 + + + + + + Curve to evaluate + fec06318-2e33-4c0e-83d7-b9eb819b3690 + Curve + Curve + false + 6b5dde33-2b73-4932-aec6-21f0a310d499 + 1 + + + + + + 4272 + 11317 + 57 + 20 + + + 4302 + 11327 + + + + + + + + Length factor for curve evaluation + e485ef61-f73f-4742-bd60-908a0367a2ff + Length + Length + false + 0 + + + + + + 4272 + 11337 + 57 + 20 + + + 4302 + 11347 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 6b896b0e-eb30-4d08-80ad-10ea01bd0d71 + Normalized + Normalized + false + 0 + + + + + + 4272 + 11357 + 57 + 20 + + + 4302 + 11367 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d1f63c62-1fc6-43f4-984e-5a3f31d7fa82 + Point + Point + false + 0 + + + + + + 4359 + 11317 + 53 + 20 + + + 4387 + 11327 + + + + + + + + Tangent vector at the specified length + 01954e4e-3e53-4331-9299-7aa2455ff1b9 + Tangent + Tangent + false + 0 + + + + + + 4359 + 11337 + 53 + 20 + + + 4387 + 11347 + + + + + + + + Curve parameter at the specified length + 3e21c90e-9910-46af-b93a-e71336fbe876 + Parameter + Parameter + false + 0 + + + + + + 4359 + 11357 + 53 + 20 + + + 4387 + 11367 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + f661b51e-e4dc-43fe-bad3-489f23f1f015 + Mirror + Mirror + + + + + + 4273 + 11253 + 138 + 44 + + + 4341 + 11275 + + + + + + Base geometry + 67a1874d-f5fa-466e-adca-75b0d5932a0c + Geometry + Geometry + true + 6b5dde33-2b73-4932-aec6-21f0a310d499 + 1 + + + + + + 4275 + 11255 + 51 + 20 + + + 4302 + 11265 + + + + + + + + Mirror plane + eb5e4124-5ed1-4651-97dd-0af329c36bff + Plane + Plane + false + c418f22a-e379-47bb-8a32-905852302bd2 + 1 + + + + + + 4275 + 11275 + 51 + 20 + + + 4302 + 11285 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 35b2b835-7b88-4a11-89fe-e0be7e201791 + Geometry + Geometry + false + 0 + + + + + + 4356 + 11255 + 53 + 20 + + + 4384 + 11265 + + + + + + + + Transformation data + 043acb07-f1ac-40c9-a370-8fc83ee3e455 + Transform + Transform + false + 0 + + + + + + 4356 + 11275 + 53 + 20 + + + 4384 + 11285 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + f5774bb8-b16f-43a6-b6f9-3c1f5b5eb901 + Line SDL + Line SDL + + + + + + 4289 + 11399 + 106 + 64 + + + 4353 + 11431 + + + + + + Line start point + 8244e541-2ced-4a4e-b309-84d06ccb9adf + Start + Start + false + d1f63c62-1fc6-43f4-984e-5a3f31d7fa82 + 1 + + + + + + 4291 + 11401 + 47 + 20 + + + 4316 + 11411 + + + + + + + + Line tangent (direction) + b4d7535f-5cca-40e2-8162-2476e2d34649 + Direction + Direction + false + 01954e4e-3e53-4331-9299-7aa2455ff1b9 + 1 + + + + + + 4291 + 11421 + 47 + 20 + + + 4316 + 11431 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + ae4d63f9-8730-4a19-b61f-a73e961a3b7b + Length + Length + false + 0 + + + + + + 4291 + 11441 + 47 + 20 + + + 4316 + 11451 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + c418f22a-e379-47bb-8a32-905852302bd2 + Line + Line + false + 0 + + + + + + 4368 + 11401 + 25 + 60 + + + 4382 + 11431 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 07b4f452-14fe-4d9b-8911-2846ce8a2353 + Join Curves + Join Curves + + + + + + 4283 + 11191 + 118 + 44 + + + 4346 + 11213 + + + + + + 1 + Curves to join + 12edb447-65b3-4983-a8d7-0e23a1f80f44 + Curves + Curves + false + 6b5dde33-2b73-4932-aec6-21f0a310d499 + 35b2b835-7b88-4a11-89fe-e0be7e201791 + 2 + + + + + + 4285 + 11193 + 46 + 20 + + + 4309.5 + 11203 + + + + + + + + Preserve direction of input curves + c4239273-9dcc-4aee-bf3e-82b9decc9ccb + Preserve + Preserve + false + 0 + + + + + + 4285 + 11213 + 46 + 20 + + + 4309.5 + 11223 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 8aa2612b-f8eb-4f73-913a-215914b33537 + Curves + Curves + false + 0 + + + + + + 4361 + 11193 + 38 + 40 + + + 4381.5 + 11213 + + + + + + + + + + + + 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 + 6fee8773-befa-4289-9a03-49e8c8b7ab59 + Evaluate Length + Evaluate Length + + + + + + 4270 + 11107 + 144 + 64 + + + 4344 + 11139 + + + + + + Curve to evaluate + c50ca3c0-7a8f-49f6-8da7-2550b01d289d + Curve + Curve + false + 8aa2612b-f8eb-4f73-913a-215914b33537 + 1 + + + + + + 4272 + 11109 + 57 + 20 + + + 4302 + 11119 + + + + + + + + Length factor for curve evaluation + 6e69ffe7-67c2-405e-b780-8e4f450dd06a + Length + Length + false + 0 + + + + + + 4272 + 11129 + 57 + 20 + + + 4302 + 11139 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 24f5cbd6-94c2-434b-b482-4d56ad82739a + Normalized + Normalized + false + 0 + + + + + + 4272 + 11149 + 57 + 20 + + + 4302 + 11159 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 700a6ac8-0642-4a1a-a01d-19696e376980 + Point + Point + false + 0 + + + + + + 4359 + 11109 + 53 + 20 + + + 4387 + 11119 + + + + + + + + Tangent vector at the specified length + ddd1b345-57f7-4a7e-a8a9-c3546c397256 + Tangent + Tangent + false + 0 + + + + + + 4359 + 11129 + 53 + 20 + + + 4387 + 11139 + + + + + + + + Curve parameter at the specified length + 52221b13-3da1-40ba-9a40-9f25b00dd057 + Parameter + Parameter + false + 0 + + + + + + 4359 + 11149 + 53 + 20 + + + 4387 + 11159 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 9c0a4513-44a8-42f6-bd2e-6973fda8c833 + Rotate + Rotate + + + + + + 4273 + 11024 + 138 + 64 + + + 4341 + 11056 + + + + + + Base geometry + 8780100c-743c-4e7a-8245-bafbd0b4f697 + Geometry + Geometry + true + 8aa2612b-f8eb-4f73-913a-215914b33537 + 1 + + + + + + 4275 + 11026 + 51 + 20 + + + 4302 + 11036 + + + + + + + + Rotation angle in radians + 2c462e21-a186-42cf-ba36-b46044446373 + Angle + Angle + false + 0 + false + + + + + + 4275 + 11046 + 51 + 20 + + + 4302 + 11056 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 432af13a-11c9-45c9-b67c-e3f4ec9873df + Plane + Plane + false + 700a6ac8-0642-4a1a-a01d-19696e376980 + 1 + + + + + + 4275 + 11066 + 51 + 20 + + + 4302 + 11076 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + a90581b3-9723-4e63-9246-27556bd497d1 + Geometry + Geometry + false + 0 + + + + + + 4356 + 11026 + 53 + 30 + + + 4384 + 11041 + + + + + + + + Transformation data + 612c4865-2ad8-4b55-99b5-f1d581b2b45c + Transform + Transform + false + 0 + + + + + + 4356 + 11056 + 53 + 30 + + + 4384 + 11071 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + aff11164-81a4-4b6a-b426-3c37a3aba6f8 + Join Curves + Join Curves + + + + + + 4283 + 10961 + 118 + 44 + + + 4346 + 10983 + + + + + + 1 + Curves to join + d45068ea-57fe-48ef-94a4-a548100c51a1 + Curves + Curves + false + 8aa2612b-f8eb-4f73-913a-215914b33537 + a90581b3-9723-4e63-9246-27556bd497d1 + 2 + + + + + + 4285 + 10963 + 46 + 20 + + + 4309.5 + 10973 + + + + + + + + Preserve direction of input curves + 5b936b77-0fe1-4437-b7f4-74a4252402c6 + Preserve + Preserve + false + 0 + + + + + + 4285 + 10983 + 46 + 20 + + + 4309.5 + 10993 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 6af0e887-0681-4409-af28-8215d357f8c9 + Curves + Curves + false + 0 + + + + + + 4361 + 10963 + 38 + 40 + + + 4381.5 + 10983 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + cc518380-b3c5-4e15-b7d1-1f9222b726c1 + 44749250-6b73-416e-860a-b02fc977fb2c + f661b51e-e4dc-43fe-bad3-489f23f1f015 + f5774bb8-b16f-43a6-b6f9-3c1f5b5eb901 + 07b4f452-14fe-4d9b-8911-2846ce8a2353 + 6fee8773-befa-4289-9a03-49e8c8b7ab59 + 9c0a4513-44a8-42f6-bd2e-6973fda8c833 + aff11164-81a4-4b6a-b426-3c37a3aba6f8 + bc0743aa-659e-45d5-9bea-0db4a089f73c + 515aa4ed-7d0b-41c2-8a15-e458b1f9659f + 1735ea28-d9c2-460e-8036-e182399799eb + 72240493-81f6-452f-95bf-65412ec6da40 + abd2599c-b66f-4796-b135-505f6671f818 + c2e639ee-1c56-4725-9c22-3c83610edc53 + 7b9d6ded-0c99-487c-9351-2a3cca1c2110 + 15 + ae5b7e4a-1487-4326-8be1-d0dd4205e7d4 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5a087567-6dc6-4ef0-a76f-11cea61ca2cc + Panel + + false + 0 + 373efc7b-7ef0-439a-9a16-1f7258fc5e55 + 1 + Double click to edit panel content… + + + + + + 4273 + 13596 + 145 + 20 + + 0 + 0 + 0 + + 4273.201 + 13596.1 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + bc0743aa-659e-45d5-9bea-0db4a089f73c + Curve + Curve + false + 6af0e887-0681-4409-af28-8215d357f8c9 + 1 + + + + + + 4321 + 10923 + 50 + 24 + + + 4346.781 + 10935.67 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + bc0743aa-659e-45d5-9bea-0db4a089f73c + 1 + 7e40e0e9-af69-4c40-b8e2-54fdb5ed7cdf + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f9d75b4a-e834-4f23-9f97-3ee0281841ee + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 4126 + 13801 + 439 + 20 + + 0 + 0 + 0 + + 4126.762 + 13801.42 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 7973db4b-dfc0-471b-8bf6-36d4d73ba79b + Evaluate Length + Evaluate Length + + + + + + 4270 + 10835 + 144 + 64 + + + 4344 + 10867 + + + + + + Curve to evaluate + f934131b-4cbc-4be0-b49b-1c98053fab08 + Curve + Curve + false + 6af0e887-0681-4409-af28-8215d357f8c9 + 1 + + + + + + 4272 + 10837 + 57 + 20 + + + 4302 + 10847 + + + + + + + + Length factor for curve evaluation + 8dc9a449-2286-4de8-94a1-2bb90edf3fa2 + Length + Length + false + 0 + + + + + + 4272 + 10857 + 57 + 20 + + + 4302 + 10867 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 29e76ccb-9dbb-4084-b741-17af9039dd65 + Normalized + Normalized + false + 0 + + + + + + 4272 + 10877 + 57 + 20 + + + 4302 + 10887 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 0ba0b4b2-a742-4786-b8e9-5e1a821df95f + Point + Point + false + 0 + + + + + + 4359 + 10837 + 53 + 20 + + + 4387 + 10847 + + + + + + + + Tangent vector at the specified length + a9ce64a4-5e56-4d68-adbc-28ee24824063 + Tangent + Tangent + false + 0 + + + + + + 4359 + 10857 + 53 + 20 + + + 4387 + 10867 + + + + + + + + Curve parameter at the specified length + dcf61bb7-e585-4148-92ad-183e091173bc + Parameter + Parameter + false + 0 + + + + + + 4359 + 10877 + 53 + 20 + + + 4387 + 10887 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5753fe7b-bb38-45ab-951e-b95292caba06 + Expression + Expression + + + + + + 4245 + 10613 + 194 + 28 + + + 4345 + 10627 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8e890fc1-ea1d-4d75-8635-314dfe731cf8 + Variable O + O + true + b8c70b09-8d3b-47ed-bff9-2af86f17106d + 1 + + + + + + 4247 + 10615 + 14 + 24 + + + 4255.5 + 10627 + + + + + + + + Result of expression + d132c280-f40a-41cd-bbe6-9e3c6e7ec570 + Result + + false + 0 + + + + + + 4428 + 10615 + 9 + 24 + + + 4434 + 10627 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 9fd26e2e-159b-45d3-a3aa-eb9c6db66eee + Deconstruct + Deconstruct + + + + + + 4276 + 10747 + 132 + 64 + + + 4323 + 10779 + + + + + + Input point + 7452be01-2448-4d50-b155-605eb4d60ded + Point + Point + false + 0ba0b4b2-a742-4786-b8e9-5e1a821df95f + 1 + + + + + + 4278 + 10749 + 30 + 60 + + + 4294.5 + 10779 + + + + + + + + Point {x} component + b8c70b09-8d3b-47ed-bff9-2af86f17106d + X component + X component + false + 0 + + + + + + 4338 + 10749 + 68 + 20 + + + 4373.5 + 10759 + + + + + + + + Point {y} component + 2aaa7234-feb7-4e51-9fc6-859d5ff39723 + Y component + Y component + false + 0 + + + + + + 4338 + 10769 + 68 + 20 + + + 4373.5 + 10779 + + + + + + + + Point {z} component + 2b443961-cdcf-4f46-8cd7-fa188559a05e + Z component + Z component + false + 0 + + + + + + 4338 + 10789 + 68 + 20 + + + 4373.5 + 10799 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6559e3c8-fde8-4749-b27b-98e461438f55 + Panel + + false + 0 + d132c280-f40a-41cd-bbe6-9e3c6e7ec570 + 1 + Double click to edit panel content… + + + + + + 4265 + 10589 + 160 + 20 + + 0 + 0 + 0 + + 4265.551 + 10589.25 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + ed38ed7d-e0f5-462b-b8a3-49c29637923a + Expression + Expression + + + + + + 4245 + 10527 + 194 + 28 + + + 4345 + 10541 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0e24a867-c3d2-4745-a8c7-bb7d7c43f557 + Variable O + O + true + 2aaa7234-feb7-4e51-9fc6-859d5ff39723 + 1 + + + + + + 4247 + 10529 + 14 + 24 + + + 4255.5 + 10541 + + + + + + + + Result of expression + b49d97f3-eba6-4ff1-b36c-c256f7f1f1e9 + Result + + false + 0 + + + + + + 4428 + 10529 + 9 + 24 + + + 4434 + 10541 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + da5cd8a7-461a-49a2-8c10-1a3debd51b8f + Panel + + false + 0 + b49d97f3-eba6-4ff1-b36c-c256f7f1f1e9 + 1 + Double click to edit panel content… + + + + + + 4265 + 10500 + 160 + 20 + + 0 + 0 + 0 + + 4265.551 + 10500.82 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 2878bc0e-f4f4-4aab-9925-622ba3ba7071 + Division + Division + + + + + + 4301 + 10425 + 82 + 44 + + + 4332 + 10447 + + + + + + Item to divide (dividend) + e713da62-9c9a-46af-9232-ea40d7a23a5b + A + A + false + 6559e3c8-fde8-4749-b27b-98e461438f55 + 1 + + + + + + 4303 + 10427 + 14 + 20 + + + 4311.5 + 10437 + + + + + + + + Item to divide with (divisor) + 81d3aa96-ab40-4301-bd50-51ba63f6194c + B + B + false + da5cd8a7-461a-49a2-8c10-1a3debd51b8f + 1 + + + + + + 4303 + 10447 + 14 + 20 + + + 4311.5 + 10457 + + + + + + + + The result of the Division + 6986f205-ea52-479e-865c-62962fe6009d + Result + Result + false + 0 + + + + + + 4347 + 10427 + 34 + 40 + + + 4365.5 + 10447 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b8997139-20b8-4636-9c2f-bdd73da0dd59 + Panel + + false + 0 + 373efc7b-7ef0-439a-9a16-1f7258fc5e55 + 1 + Double click to edit panel content… + + + + + + 4265 + 10353 + 160 + 20 + + 0 + 0 + 0 + + 4265.79 + 10353.31 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 8a3128cb-9869-4bc0-884d-c17fe7f9ee09 + Expression + Expression + + + + + + 4245 + 10378 + 194 + 28 + + + 4345 + 10392 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3744d691-30cf-4977-95e3-b14280bf3a09 + Variable O + O + true + 6986f205-ea52-479e-865c-62962fe6009d + 1 + + + + + + 4247 + 10380 + 14 + 24 + + + 4255.5 + 10392 + + + + + + + + Result of expression + d4fef3ac-e25b-46fa-adfa-fff3236e87a8 + Result + + false + 0 + + + + + + 4428 + 10380 + 9 + 24 + + + 4434 + 10392 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 373efc7b-7ef0-439a-9a16-1f7258fc5e55 + Relay + + false + d4fef3ac-e25b-46fa-adfa-fff3236e87a8 + 1 + + + + + + 4322 + 10303 + 40 + 16 + + + 4342 + 10311 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + d5da0918-289c-48b2-8b9a-1c914601ede0 + Addition + Addition + + + + + + 4301 + 10240 + 82 + 44 + + + 4332 + 10262 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 1bb0c28a-3640-4d24-9e6e-9a373ae061ad + A + A + true + da5cd8a7-461a-49a2-8c10-1a3debd51b8f + 1 + + + + + + 4303 + 10242 + 14 + 20 + + + 4311.5 + 10252 + + + + + + + + Second item for addition + 64c08142-a331-48d6-93f2-06524b0d3d6c + B + B + true + 6559e3c8-fde8-4749-b27b-98e461438f55 + 1 + + + + + + 4303 + 10262 + 14 + 20 + + + 4311.5 + 10272 + + + + + + + + Result of addition + 03d3bb06-4ebd-452f-ba3c-3597173f8558 + Result + Result + false + 0 + + + + + + 4347 + 10242 + 34 + 40 + + + 4365.5 + 10262 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + ae54b2b4-eb20-470c-a4f7-1a494adc928b + Division + Division + + + + + + 4301 + 10090 + 82 + 44 + + + 4332 + 10112 + + + + + + Item to divide (dividend) + 5192dc74-838f-4ef3-941f-1ed552c69417 + A + A + false + 57ebdb18-79ac-4540-a02c-aff0d33ff282 + 1 + + + + + + 4303 + 10092 + 14 + 20 + + + 4311.5 + 10102 + + + + + + + + Item to divide with (divisor) + 47d6323d-c97a-4d5d-a995-c76014e1f2e2 + B + B + false + 0 + + + + + + 4303 + 10112 + 14 + 20 + + + 4311.5 + 10122 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 0f64f4cf-69cf-4775-a4f8-646ded844be4 + Result + Result + false + 0 + + + + + + 4347 + 10092 + 34 + 40 + + + 4365.5 + 10112 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + dcc2bd9f-6534-44f7-95b6-bc46f92222ab + Expression + Expression + + + + + + 4245 + 10042 + 194 + 28 + + + 4345 + 10056 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 09061244-8eec-4292-99df-ade1dbddccb1 + Variable O + O + true + 0f64f4cf-69cf-4775-a4f8-646ded844be4 + 1 + + + + + + 4247 + 10044 + 14 + 24 + + + 4255.5 + 10056 + + + + + + + + Result of expression + b4496208-9ca2-400c-9626-c13615227878 + Result + + false + 0 + + + + + + 4428 + 10044 + 9 + 24 + + + 4434 + 10056 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 36451f6a-9e35-4841-85e1-09e88eb0bd66 + Panel + + false + 0 + b4496208-9ca2-400c-9626-c13615227878 + 1 + Double click to edit panel content… + + + + + + 4265 + 10017 + 160 + 20 + + 0 + 0 + 0 + + 4265.551 + 10017.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 57ebdb18-79ac-4540-a02c-aff0d33ff282 + Panel + + false + 0 + 85d513ae-5bf8-49bd-ba24-122bdc1e4747 + 1 + Double click to edit panel content… + + + + + + 4265 + 10169 + 160 + 20 + + 0 + 0 + 0 + + 4265.551 + 10169.08 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1afe9178-133d-445c-a7bd-86fe87bf0dd8 + Expression + Expression + + + + + + 4245 + 10193 + 194 + 28 + + + 4345 + 10207 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3992a2fa-80ee-4b38-898a-8aa9b9ae1cf1 + Variable O + O + true + 03d3bb06-4ebd-452f-ba3c-3597173f8558 + 1 + + + + + + 4247 + 10195 + 14 + 24 + + + 4255.5 + 10207 + + + + + + + + Result of expression + 85d513ae-5bf8-49bd-ba24-122bdc1e4747 + Result + + false + 0 + + + + + + 4428 + 10195 + 9 + 24 + + + 4434 + 10207 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + fdfcd0ad-d760-4e1d-be39-1c77b926f7b9 + Scale + Scale + + + + + + 4265 + 9919 + 154 + 64 + + + 4349 + 9951 + + + + + + Base geometry + 601abc7f-6161-4682-a652-379136f24c2f + Geometry + Geometry + true + bc0743aa-659e-45d5-9bea-0db4a089f73c + 1 + + + + + + 4267 + 9921 + 67 + 20 + + + 4310 + 9931 + + + + + + + + Center of scaling + 88498385-a7b2-4e57-b718-29bfa4987571 + Center + Center + false + 0 + + + + + + 4267 + 9941 + 67 + 20 + + + 4310 + 9951 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 9945e95b-f03f-47e5-81c8-fe07d0f73718 + 1/X + Factor + Factor + false + 36451f6a-9e35-4841-85e1-09e88eb0bd66 + 1 + + + + + + 4267 + 9961 + 67 + 20 + + + 4310 + 9971 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 1fa87ae5-b607-4bb0-a9a4-be0e3a79e3cf + Geometry + Geometry + false + 0 + + + + + + 4364 + 9921 + 53 + 30 + + + 4392 + 9936 + + + + + + + + Transformation data + 1b2d8a2f-4c43-40e0-a3a2-9b6120b29ff4 + Transform + Transform + false + 0 + + + + + + 4364 + 9951 + 53 + 30 + + + 4392 + 9966 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 63605c91-1a92-45da-9fec-1773e7cb4a87 + Curve + Curve + false + 1fa87ae5-b607-4bb0-a9a4-be0e3a79e3cf + 1 + + + + + + 4319 + 9322 + 50 + 24 + + + 4344.531 + 9334.673 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + a5bf279a-43c6-4872-8c06-fa8d70488afc + Expression + Expression + + + + + + 4245 + 10700 + 194 + 28 + + + 4345 + 10714 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e2e7b1c6-301d-49bc-852f-99da0457658a + Variable O + O + true + 2b443961-cdcf-4f46-8cd7-fa188559a05e + 1 + + + + + + 4247 + 10702 + 14 + 24 + + + 4255.5 + 10714 + + + + + + + + Result of expression + 7fc7069a-9d35-4dec-95e2-b1e61602cb83 + Result + + false + 0 + + + + + + 4428 + 10702 + 9 + 24 + + + 4434 + 10714 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2ab020dd-779c-4643-9971-14caeca422df + Panel + + false + 0 + 7fc7069a-9d35-4dec-95e2-b1e61602cb83 + 1 + Double click to edit panel content… + + + + + + 4266 + 10675 + 160 + 20 + + 0 + 0 + 0 + + 4266.421 + 10675.02 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 2dd7f30c-898d-4362-85f0-9bbdb136696d + Evaluate Length + Evaluate Length + + + + + + 4270 + 9709 + 144 + 64 + + + 4344 + 9741 + + + + + + Curve to evaluate + 09dab483-8251-48ec-a1f5-aabd1271b9a4 + Curve + Curve + false + 1fa87ae5-b607-4bb0-a9a4-be0e3a79e3cf + 1 + + + + + + 4272 + 9711 + 57 + 20 + + + 4302 + 9721 + + + + + + + + Length factor for curve evaluation + b816c4b6-466d-4bc7-89cb-2e2799e834f3 + Length + Length + false + 0 + + + + + + 4272 + 9731 + 57 + 20 + + + 4302 + 9741 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 1e8da7ec-9d0a-4043-8c05-2b75ecbb5e9c + Normalized + Normalized + false + 0 + + + + + + 4272 + 9751 + 57 + 20 + + + 4302 + 9761 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 74ece60c-1962-4112-992d-ea664917d145 + Point + Point + false + 0 + + + + + + 4359 + 9711 + 53 + 20 + + + 4387 + 9721 + + + + + + + + Tangent vector at the specified length + 44c55250-9efd-4a59-8e8f-d45f7b3f14fd + Tangent + Tangent + false + 0 + + + + + + 4359 + 9731 + 53 + 20 + + + 4387 + 9741 + + + + + + + + Curve parameter at the specified length + 0a9155ea-57af-4445-ae62-22e022ec50e8 + Parameter + Parameter + false + 0 + + + + + + 4359 + 9751 + 53 + 20 + + + 4387 + 9761 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 53074449-1825-4369-9713-d1fab997895f + Expression + Expression + + + + + + 4245 + 9492 + 194 + 28 + + + 4345 + 9506 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 040fce0c-91e8-49d3-9f1d-8e08eef2bc79 + Variable O + O + true + 9ca7f978-1031-4d21-b51c-5f7e91be7113 + 1 + + + + + + 4247 + 9494 + 14 + 24 + + + 4255.5 + 9506 + + + + + + + + Result of expression + c8add31d-7d2f-4cf6-8f75-08feddfa8a96 + Result + + false + 0 + + + + + + 4428 + 9494 + 9 + 24 + + + 4434 + 9506 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 8f15d4df-a295-4c2a-a427-ed66de400789 + Deconstruct + Deconstruct + + + + + + 4276 + 9626 + 132 + 64 + + + 4323 + 9658 + + + + + + Input point + d674362e-075a-4b40-908c-4d01e4bbee44 + Point + Point + false + 74ece60c-1962-4112-992d-ea664917d145 + 1 + + + + + + 4278 + 9628 + 30 + 60 + + + 4294.5 + 9658 + + + + + + + + Point {x} component + 9ca7f978-1031-4d21-b51c-5f7e91be7113 + X component + X component + false + 0 + + + + + + 4338 + 9628 + 68 + 20 + + + 4373.5 + 9638 + + + + + + + + Point {y} component + 0b5f77d7-b1bb-4988-a6b7-77025f58fa77 + Y component + Y component + false + 0 + + + + + + 4338 + 9648 + 68 + 20 + + + 4373.5 + 9658 + + + + + + + + Point {z} component + 8a834027-718b-4dbf-8138-a12160a8bcb1 + Z component + Z component + false + 0 + + + + + + 4338 + 9668 + 68 + 20 + + + 4373.5 + 9678 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c8ee08ba-9303-4b8a-985e-59ebf8f261a8 + Panel + + false + 0 + c8add31d-7d2f-4cf6-8f75-08feddfa8a96 + 1 + Double click to edit panel content… + + + + + + 4265 + 9462 + 160 + 20 + + 0 + 0 + 0 + + 4265.801 + 9462.593 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + bc46a4e8-63e5-43b7-8292-10edf85be72e + Expression + Expression + + + + + + 4245 + 9406 + 194 + 28 + + + 4345 + 9420 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + dbbdc80c-45c3-416f-b688-b3cee69f1dbf + Variable O + O + true + 0b5f77d7-b1bb-4988-a6b7-77025f58fa77 + 1 + + + + + + 4247 + 9408 + 14 + 24 + + + 4255.5 + 9420 + + + + + + + + Result of expression + 7ec73af9-805c-42f4-9530-a66f2272162b + Result + + false + 0 + + + + + + 4428 + 9408 + 9 + 24 + + + 4434 + 9420 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6f154ebb-c8eb-4572-8858-a3b020c29c72 + Panel + + false + 0 + 7ec73af9-805c-42f4-9530-a66f2272162b + 1 + Double click to edit panel content… + + + + + + 4265 + 9376 + 160 + 20 + + 0 + 0 + 0 + + 4265.811 + 9376.964 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + ff7c83e6-f826-4fb2-97e8-da374b6987b1 + Expression + Expression + + + + + + 4245 + 9578 + 194 + 28 + + + 4345 + 9592 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3946e9c9-23e1-476b-be89-02a4229cb57b + Variable O + O + true + 8a834027-718b-4dbf-8138-a12160a8bcb1 + 1 + + + + + + 4247 + 9580 + 14 + 24 + + + 4255.5 + 9592 + + + + + + + + Result of expression + f8d8054d-d42d-4488-bfc2-6c79b7d6f355 + Result + + false + 0 + + + + + + 4428 + 9580 + 9 + 24 + + + 4434 + 9592 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9fcc136a-c294-42e3-afde-ea1143063a36 + Panel + + false + 0 + f8d8054d-d42d-4488-bfc2-6c79b7d6f355 + 1 + Double click to edit panel content… + + + + + + 4265 + 9548 + 160 + 20 + + 0 + 0 + 0 + + 4265.551 + 9548.804 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3031dd95-64d2-4192-879f-cabe57cc464d + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 4159 + 13884 + 379 + 104 + + 0 + 0 + 0 + + 4159.018 + 13884.44 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 675924a5-f92c-48d7-83e2-3c58b8d6ec02 + Panel + + false + 0 + 8b578c9a-c85f-42ed-8563-e93e57644ab9 + 1 + Double click to edit panel content… + + + + + + 4177 + 11912 + 337 + 276 + + 0 + 0 + 0 + + 4177.741 + 11912.59 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 88626db3-5a1c-4d34-a75d-9c38c845ef23 + Expression + Expression + + + + + + 4245 + 12200 + 194 + 28 + + + 4345 + 12214 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 051d7a2c-8c1b-4eaf-b60e-de25336068b7 + Variable O + O + true + 31c6e3ed-8058-4483-b952-0f2d075ed585 + 1 + + + + + + 4247 + 12202 + 14 + 24 + + + 4255.5 + 12214 + + + + + + + + Result of expression + 8b578c9a-c85f-42ed-8563-e93e57644ab9 + Result + + false + 0 + + + + + + 4428 + 12202 + 9 + 24 + + + 4434 + 12214 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + b858e84c-e354-43a3-8a52-1a2b2e8195ae + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 4338 + 14367 + 50 + 24 + + + 4363.434 + 14379.87 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 764b73d1-9f00-406d-b582-3e039098b1dd + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 4173 + 12482 + 160 + 224 + + + 4241 + 12594 + + + + + + 1 + One or multiple graph curves to graph map values with + f913820d-13fb-4726-8385-8676239fc0a0 + true + Curves + Curves + false + 6ad5409f-9040-4b69-97ef-0d8c927d93a9 + 1 + + + + + + 4175 + 12484 + 51 + 27 + + + 4202 + 12497.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 3f9f7a81-b3e4-4031-9efd-3f8ec72b68e8 + true + Rectangle + Rectangle + false + 0ce1c710-a6cb-45ca-98bc-07397ae680cf + 1 + + + + + + 4175 + 12511 + 51 + 28 + + + 4202 + 12525.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 66e5a705-c325-427c-ad58-b6ec50f83252 + true + Values + Values + false + 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 + 1 + + + + + + 4175 + 12539 + 51 + 27 + + + 4202 + 12552.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + ea47884e-dbf1-4a63-8327-d3a79c54ec80 + true + X Axis + X Axis + true + 0 + + + + + + 4175 + 12566 + 51 + 28 + + + 4202 + 12580.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + a5aa49ca-a27a-4eb0-b567-957c28736508 + true + Y Axis + Y Axis + true + 0 + + + + + + 4175 + 12594 + 51 + 27 + + + 4202 + 12607.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 357b3e1c-8bc7-4310-b3bf-6e115203dd09 + true + Flip + Flip + false + 0 + + + + + + 4175 + 12621 + 51 + 28 + + + 4202 + 12635.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + fe3998b8-1fa4-4746-aeea-f92b879adfad + true + Snap + Snap + false + 0 + + + + + + 4175 + 12649 + 51 + 27 + + + 4202 + 12662.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + faeb2bd7-d5d7-459b-abb6-a8c871327ce9 + true + Text Size + Text Size + false + 0 + + + + + + 4175 + 12676 + 51 + 28 + + + 4202 + 12690.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + b76b10c6-a236-4dc9-a093-fe71594b08e6 + true + Mapped + Mapped + false + 0 + + + + + + 4256 + 12484 + 75 + 20 + + + 4295 + 12494 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 94f06bd7-be8b-4012-8a69-126e24ab82aa + true + Graph Curves + Graph Curves + false + 0 + + + + + + 4256 + 12504 + 75 + 20 + + + 4295 + 12514 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + a72054f4-f3a6-4794-8e35-717dd4a1a122 + true + Graph Points + Graph Points + false + 0 + + + + + + 4256 + 12524 + 75 + 20 + + + 4295 + 12534 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 68037f6c-446e-45aa-9c40-3c2a5e492eeb + true + Value Lines + Value Lines + false + 0 + + + + + + 4256 + 12544 + 75 + 20 + + + 4295 + 12554 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + bf118017-592f-4ea4-8076-1efb9504bdfb + true + Value Points + Value Points + false + 0 + + + + + + 4256 + 12564 + 75 + 20 + + + 4295 + 12574 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 59453791-4306-47c7-b89f-b0f4e600a461 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 4256 + 12584 + 75 + 20 + + + 4295 + 12594 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 567f6be0-adaa-492d-aacf-cef917ecee20 + true + Mapped Points + Mapped Points + false + 0 + + + + + + 4256 + 12604 + 75 + 20 + + + 4295 + 12614 + + + + + + + + The graph boundary background as a surface + e3763d7a-6671-4d99-88ee-88fbf6337c25 + true + Boundary + Boundary + false + 0 + + + + + + 4256 + 12624 + 75 + 20 + + + 4295 + 12634 + + + + + + + + 1 + The graph labels as curve outlines + eee71c2a-5954-408c-9ef3-eac48cb9401e + true + Labels + Labels + false + 0 + + + + + + 4256 + 12644 + 75 + 20 + + + 4295 + 12654 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 6600e656-ce7d-42e5-a0b9-ac01ad584174 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 4256 + 12664 + 75 + 20 + + + 4295 + 12674 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 0f64d5d6-712b-44e6-8bc1-3896d4a10f69 + true + Intersected + Intersected + false + 0 + + + + + + 4256 + 12684 + 75 + 20 + + + 4295 + 12694 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + a5b20955-e9d2-4861-9b22-ec91cd61b1f9 + End Points + End Points + + + + + + 4294 + 12907 + 96 + 44 + + + 4344 + 12929 + + + + + + Curve to evaluate + e00b32f7-9bfb-4905-ba22-539dc77c8679 + Curve + Curve + false + 6ad5409f-9040-4b69-97ef-0d8c927d93a9 + 1 + + + + + + 4296 + 12909 + 33 + 40 + + + 4314 + 12929 + + + + + + + + Curve start point + 1238b2dc-91fc-4bf8-bfc8-315ec7d8857d + Start + Start + false + 0 + + + + + + 4359 + 12909 + 29 + 20 + + + 4375 + 12919 + + + + + + + + Curve end point + a8ceda9c-8920-45ec-a875-3ecf14d56bdf + End + End + false + 0 + + + + + + 4359 + 12929 + 29 + 20 + + + 4375 + 12939 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 03bb9ca6-76d4-43b8-9d81-8fb62e3faffd + Rectangle 2Pt + Rectangle 2Pt + + + + + + 4279 + 12805 + 126 + 84 + + + 4337 + 12847 + + + + + + Rectangle base plane + 6c593d5a-15c9-4f30-9f19-7550921a7928 + Plane + Plane + false + 0 + + + + + + 4281 + 12807 + 41 + 20 + + + 4303 + 12817 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + f19f336c-13f1-4e46-87eb-07fa40c21ceb + Point A + Point A + false + 1238b2dc-91fc-4bf8-bfc8-315ec7d8857d + 1 + + + + + + 4281 + 12827 + 41 + 20 + + + 4303 + 12837 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + fd7acc6b-1cff-4d94-b936-db5b0dbec2b6 + Point B + Point B + false + a8ceda9c-8920-45ec-a875-3ecf14d56bdf + 1 + + + + + + 4281 + 12847 + 41 + 20 + + + 4303 + 12857 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + b1b185b1-7b88-423e-bb09-aad03d2ea6d7 + Radius + Radius + false + 0 + + + + + + 4281 + 12867 + 41 + 20 + + + 4303 + 12877 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 0ce1c710-a6cb-45ca-98bc-07397ae680cf + Rectangle + Rectangle + false + 0 + + + + + + 4352 + 12807 + 51 + 40 + + + 4379 + 12827 + + + + + + + + Length of rectangle curve + 0006e875-b744-4291-b1f6-fa7244194984 + Length + Length + false + 0 + + + + + + 4352 + 12847 + 51 + 40 + + + 4379 + 12867 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + aa551f67-344e-49d0-8c74-be78e2d0fe04 + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 4333 + 12602 + 126 + 104 + + + 4400 + 12654 + + + + + + External curve as a graph + 67da4800-a413-45fd-abcb-9d5ba3052621 + Curve + Curve + false + 6ad5409f-9040-4b69-97ef-0d8c927d93a9 + 1 + + + + + + 4335 + 12604 + 50 + 20 + + + 4361.5 + 12614 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 4788ef60-f872-4c23-a50b-898e95f928d5 + Boundary + Boundary + true + 0ce1c710-a6cb-45ca-98bc-07397ae680cf + 1 + + + + + + 4335 + 12624 + 50 + 20 + + + 4361.5 + 12634 + + + + + + + + 1 + List of input numbers + b3d6a9b3-6919-4a2f-9c45-2a6b7e1a8e41 + Numbers + Numbers + false + 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 + 1 + + + + + + 4335 + 12644 + 50 + 20 + + + 4361.5 + 12654 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 92ee7239-ffa4-42b3-9b6a-647c42896f6e + Input + Input + true + d85bd426-e5d9-4225-aec5-1f93c57ea102 + 1 + + + + + + 4335 + 12664 + 50 + 20 + + + 4361.5 + 12674 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 7d51b8b0-acbe-4102-8d23-8491f8dc6518 + Output + Output + true + d85bd426-e5d9-4225-aec5-1f93c57ea102 + 1 + + + + + + 4335 + 12684 + 50 + 20 + + + 4361.5 + 12694 + + + + + + + + 1 + Output Numbers + 52a52012-94ed-4352-9843-c25568652aeb + Number + Number + false + 0 + + + + + + 4415 + 12604 + 42 + 100 + + + 4437.5 + 12654 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 0503038e-a06a-4699-9a40-2b74c5e39009 + Stream Filter + Stream Filter + + + + + + 4308 + 12399 + 89 + 64 + + + 4353 + 12431 + + + + + + 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 + 0deaf66c-86f0-4bc6-b0d9-5517ceb1d85c + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 4310 + 12401 + 28 + 20 + + + 4325.5 + 12411 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + f244ebe1-83e9-431d-8c00-64cac7a42e76 + false + Stream 0 + 0 + true + b76b10c6-a236-4dc9-a093-fe71594b08e6 + 1 + + + + + + 4310 + 12421 + 28 + 20 + + + 4325.5 + 12431 + + + + + + + + 2 + Input stream at index 1 + 250dace0-8eaf-463f-8856-3264b671f7d1 + false + Stream 1 + 1 + true + 52a52012-94ed-4352-9843-c25568652aeb + 1 + + + + + + 4310 + 12441 + 28 + 20 + + + 4325.5 + 12451 + + + + + + + + 2 + Filtered stream + add59c49-60fd-466e-8329-83e0f790e31d + false + Stream + S(1) + false + 0 + + + + + + 4368 + 12401 + 27 + 60 + + + 4383 + 12431 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 7522b52d-f670-48c2-91d4-f06965855205 + Number Slider + + false + 0 + + + + + + 4266 + 12310 + 150 + 20 + + + 4266.171 + 12310.19 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e02fd8ec-0d7c-46b2-a3f4-d5df4817f722 + Panel + + false + 1 + bc68d9ff-0a73-48ce-bcc5-908d79eca709 + 1 + Double click to edit panel content… + + + + + + 4256 + 13099 + 185 + 271 + + 0 + 0 + 0 + + 4256.241 + 13099.46 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 274e2ba4-a290-4d43-a98e-6d03ec5eed7f + Bounds + Bounds + + + + + + 4283 + 13046 + 122 + 28 + + + 4347 + 13060 + + + + + + 1 + Numbers to include in Bounds + 16d026a5-74e5-49bb-a70d-6713cb17b64b + Numbers + Numbers + false + 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 + 1 + + + + + + 4285 + 13048 + 47 + 24 + + + 4310 + 13060 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + d85bd426-e5d9-4225-aec5-1f93c57ea102 + Domain + Domain + false + 0 + + + + + + 4362 + 13048 + 41 + 24 + + + 4384 + 13060 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b76e1c16-6cff-4ccb-8b5a-ff60c32fb01a + Expression + Expression + + + + + + 4245 + 13460 + 194 + 28 + + + 4345 + 13474 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7d2eb29b-982e-4000-b8ba-068fb301b77c + Variable O + O + true + 2e8e7cb4-d964-4195-ba8c-9a22e2b2b635 + 1 + + + + + + 4247 + 13462 + 14 + 24 + + + 4255.5 + 13474 + + + + + + + + Result of expression + bc68d9ff-0a73-48ce-bcc5-908d79eca709 + Result + + false + 0 + + + + + + 4428 + 13462 + 9 + 24 + + + 4434 + 13474 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 3f1fbdb4-eb91-4b3a-a8df-0596dfc0a31b + Expression + Expression + + + + + + 4159 + 13671 + 367 + 28 + + + 4345 + 13685 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2242822a-0742-4abe-88ec-ae5573f9f205 + Variable O + O + true + 11fa45ca-88cf-4812-aee3-063f9be7f594 + 1 + + + + + + 4161 + 13673 + 14 + 24 + + + 4169.5 + 13685 + + + + + + + + Result of expression + 6fca8128-7167-4c8f-ad06-1de26badc388 + Result + + false + 0 + + + + + + 4515 + 13673 + 9 + 24 + + + 4521 + 13685 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cdb54c3a-c1fe-47a5-b525-f5ed5bd3e9f9 + Panel + + false + 0 + 6fca8128-7167-4c8f-ad06-1de26badc388 + 1 + Double click to edit panel content… + + + + + + 4256 + 13636 + 179 + 20 + + 0 + 0 + 0 + + 4256.381 + 13636.32 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + 7cf9c2b7-629e-4d4a-8851-b1749f393b38 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 48d28623-467f-490c-b1c3-34bfd421b511 + Scale + Scale + + + + + + 4265 + 9834 + 154 + 64 + + + 4349 + 9866 + + + + + + Base geometry + 0341618d-be71-4cf5-b81f-56064952bf5a + Geometry + Geometry + true + 72240493-81f6-452f-95bf-65412ec6da40 + 1 + + + + + + 4267 + 9836 + 67 + 20 + + + 4310 + 9846 + + + + + + + + Center of scaling + bf4c3dcb-3032-4e05-853b-e3e23790fd78 + Center + Center + false + 0 + + + + + + 4267 + 9856 + 67 + 20 + + + 4310 + 9866 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 54b851f7-664e-4475-af90-8069c3611796 + 1/X + Factor + Factor + false + 36451f6a-9e35-4841-85e1-09e88eb0bd66 + 1 + + + + + + 4267 + 9876 + 67 + 20 + + + 4310 + 9886 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 07a59e7b-d234-41eb-bb47-dce08b3f0802 + Geometry + Geometry + false + 0 + + + + + + 4364 + 9836 + 53 + 30 + + + 4392 + 9851 + + + + + + + + Transformation data + a62e3829-5bb5-4570-8481-576c63b1a441 + Transform + Transform + false + 0 + + + + + + 4364 + 9866 + 53 + 30 + + + 4392 + 9881 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + a5db96b2-971c-49df-9a5e-d9d32338d413 + Point + Point + false + 07a59e7b-d234-41eb-bb47-dce08b3f0802 + 1 + + + + + + 4320 + 9800 + 50 + 24 + + + 4345.531 + 9812.843 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 1ccb8a7e-2e79-44bd-955d-63367d09c98f + true + Mirror + Mirror + + + + + + 4265 + 9210 + 138 + 44 + + + 4333 + 9232 + + + + + + Base geometry + 77c5555b-507e-4449-9a3a-242152032ed4 + true + Geometry + Geometry + true + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + + + + + + 4267 + 9212 + 51 + 20 + + + 4294 + 9222 + + + + + + + + Mirror plane + 40d32483-1581-4e0b-a9d3-adda034cecd0 + true + Plane + Plane + false + 0 + + + + + + 4267 + 9232 + 51 + 20 + + + 4294 + 9242 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 7aa05c63-0125-4ff7-820a-2b8e111771a9 + true + Geometry + Geometry + false + 0 + + + + + + 4348 + 9212 + 53 + 20 + + + 4376 + 9222 + + + + + + + + Transformation data + 6507a64d-407f-4e65-8813-51a433f67160 + true + Transform + Transform + false + 0 + + + + + + 4348 + 9232 + 53 + 20 + + + 4376 + 9242 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + fe2bd48c-8bc7-431d-a3d5-89319eee1ab4 + true + Curve + Curve + false + 25582ec0-bca6-4d7f-9a87-8d6f84e8b4f5 + 1 + + + + + + 4314 + 9108 + 50 + 24 + + + 4339.781 + 9120.629 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6ad5409f-9040-4b69-97ef-0d8c927d93a9 + Relay + + false + 9996a7ea-0123-495f-b37b-5c57cfbf28ed + 1 + + + + + + 4324 + 12974 + 40 + 16 + + + 4344 + 12982 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 1565d029-b52e-4a0d-afc5-5be1ea6b6a9f + Curve + Curve + false + 3255d013-8457-40e7-99eb-8125533f5f6e + 1 + + + + + + 3890 + 13368 + 50 + 24 + + + 3915.28 + 13380.31 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9996a7ea-0123-495f-b37b-5c57cfbf28ed + Curve + Curve + false + 483603c3-8060-4ed5-acce-c2b2339bdb65 + 1 + + + + + + 3889 + 13078 + 50 + 24 + + + 3914.377 + 13090.46 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 07d6a167-2ddb-43da-8619-70a47cb5e9ea + Scale + Scale + + + + + + 3834 + 13113 + 154 + 64 + + + 3918 + 13145 + + + + + + Base geometry + a259df23-3f23-4f78-949f-2fff8f9b3bc5 + Geometry + Geometry + true + 1565d029-b52e-4a0d-afc5-5be1ea6b6a9f + 1 + + + + + + 3836 + 13115 + 67 + 20 + + + 3879 + 13125 + + + + + + + + Center of scaling + e7ad9a05-f04b-4d3c-9b90-68af484b46e6 + Center + Center + false + 0 + + + + + + 3836 + 13135 + 67 + 20 + + + 3879 + 13145 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + a1e86edf-629d-4eb6-89d2-cf4c5144cf52 + 2^X + Factor + Factor + false + 5b5706ff-d5d7-458b-879b-2db4552c3e70 + 1 + + + + + + 3836 + 13155 + 67 + 20 + + + 3879 + 13165 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 483603c3-8060-4ed5-acce-c2b2339bdb65 + Geometry + Geometry + false + 0 + + + + + + 3933 + 13115 + 53 + 30 + + + 3961 + 13130 + + + + + + + + Transformation data + 1cb64977-d885-4672-a422-e4c0c581ca90 + Transform + Transform + false + 0 + + + + + + 3933 + 13145 + 53 + 30 + + + 3961 + 13160 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1565d029-b52e-4a0d-afc5-5be1ea6b6a9f + 9996a7ea-0123-495f-b37b-5c57cfbf28ed + 07d6a167-2ddb-43da-8619-70a47cb5e9ea + 27899f96-8899-44d3-a06c-50d23c4c5623 + a25e13b9-3e81-4a33-9443-7552163b2fbf + 6abb6467-4717-433d-aad9-3f7d0611f1b9 + ec403da9-8400-4058-a37d-088c53e519ef + e30a09fd-815f-4c21-9939-bf2e9d98c53d + 5b5706ff-d5d7-458b-879b-2db4552c3e70 + bd44744c-be8e-4cf5-ae1e-a647bfc0304f + 4fc4ca98-3632-4ea7-9a66-0d0a0417032f + 11 + dcc96cab-ca29-4917-b636-b17bc2f5c9e2 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + f6d60644-d11a-4362-89c4-d1805280f077 + true + Move + Move + + + + + + 4265 + 9146 + 138 + 44 + + + 4333 + 9168 + + + + + + Base geometry + e286f26f-899e-4e20-98e7-356a8a984547 + true + Geometry + Geometry + true + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + + + + + + 4267 + 9148 + 51 + 20 + + + 4294 + 9158 + + + + + + + + Translation vector + 325e70b7-daa4-4f18-aba8-8dd7c667d65c + true + Motion + Motion + false + 0 + + + + + + 4267 + 9168 + 51 + 20 + + + 4294 + 9178 + + + + + + 1 + + + + + 1 + {0} + + + + + + 2.5 + 0 + 0 + + + + + + + + + + + + Translated geometry + 25582ec0-bca6-4d7f-9a87-8d6f84e8b4f5 + true + Geometry + Geometry + false + 0 + + + + + + 4348 + 9148 + 53 + 20 + + + 4376 + 9158 + + + + + + + + Transformation data + 64394fd4-0c64-4430-9412-ac0793b792b9 + true + Transform + Transform + false + 0 + + + + + + 4348 + 9168 + 53 + 20 + + + 4376 + 9178 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + a25e13b9-3e81-4a33-9443-7552163b2fbf + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 3787 + 13324 + 250 + 20 + + + 3787.106 + 13324.69 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6abb6467-4717-433d-aad9-3f7d0611f1b9 + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 3846 + 13203 + 144 + 20 + + 0 + 0 + 0 + + 3846.843 + 13203.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ec403da9-8400-4058-a37d-088c53e519ef + Curve + Curve + false + 0 + + + + + + 3889 + 13035 + 50 + 24 + + + 3914.377 + 13047.46 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e30a09fd-815f-4c21-9939-bf2e9d98c53d + Curve + Curve + false + 0 + + + + + + 3890 + 13502 + 50 + 24 + + + 3915.96 + 13514.26 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5faa427f-2fd4-4e43-b824-c38a71b6ccd8 + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 4126 + 13846 + 439 + 20 + + 0 + 0 + 0 + + 4126.762 + 13846.78 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + a125a8c3-93b2-4e73-a666-786124237c7c + End Points + End Points + + + + + + 4701 + 9769 + 96 + 44 + + + 4751 + 9791 + + + + + + Curve to evaluate + 9e935fc4-7eb5-4c24-9ab7-2378caf6c357 + Curve + Curve + false + 202fba07-ff87-4a76-bf41-2713fd53fbec + 1 + + + + + + 4703 + 9771 + 33 + 40 + + + 4721 + 9791 + + + + + + + + Curve start point + 2d775627-190d-4a25-b113-e3c0a680c0b6 + Start + Start + false + 0 + + + + + + 4766 + 9771 + 29 + 20 + + + 4782 + 9781 + + + + + + + + Curve end point + f508eb56-61a1-4b21-947b-2e13561d660a + End + End + false + 0 + + + + + + 4766 + 9791 + 29 + 20 + + + 4782 + 9801 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 5e77352d-a354-4344-a188-f465fcdac189 + Rectangle 2Pt + Rectangle 2Pt + + + + + + 4686 + 9666 + 126 + 84 + + + 4744 + 9708 + + + + + + Rectangle base plane + 0f624145-50c9-43d8-879b-a44142855f2e + Plane + Plane + false + 0 + + + + + + 4688 + 9668 + 41 + 20 + + + 4710 + 9678 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + ac329dfe-7e72-4cb1-878e-cf84d12658c4 + Point A + Point A + false + 2d775627-190d-4a25-b113-e3c0a680c0b6 + 1 + + + + + + 4688 + 9688 + 41 + 20 + + + 4710 + 9698 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 12160a02-dbd3-4d66-ba4c-1b7c1785c2e0 + Point B + Point B + false + f508eb56-61a1-4b21-947b-2e13561d660a + 1 + + + + + + 4688 + 9708 + 41 + 20 + + + 4710 + 9718 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + e84f7103-16b8-453d-a805-15e451ebc650 + Radius + Radius + false + 0 + + + + + + 4688 + 9728 + 41 + 20 + + + 4710 + 9738 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 194f16f0-1a80-4be7-943c-e4e4e58a1853 + Rectangle + Rectangle + false + 0 + + + + + + 4759 + 9668 + 51 + 40 + + + 4786 + 9688 + + + + + + + + Length of rectangle curve + 6b4763f7-380c-4eac-b770-acc0f2566a4c + Length + Length + false + 0 + + + + + + 4759 + 9708 + 51 + 40 + + + 4786 + 9728 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + b6259596-7390-4b8c-9676-187b43339133 + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 4678 + 9583 + 142 + 64 + + + 4746 + 9615 + + + + + + Rectangle to deconstruct + f12ac12d-05bf-463c-83b9-81c5656899f8 + Rectangle + Rectangle + false + 194f16f0-1a80-4be7-943c-e4e4e58a1853 + 1 + + + + + + 4680 + 9585 + 51 + 60 + + + 4707 + 9615 + + + + + + + + Base plane of rectangle + b6e88d50-e3df-4569-a808-def975ec21c2 + Base Plane + Base Plane + false + 0 + + + + + + 4761 + 9585 + 57 + 20 + + + 4791 + 9595 + + + + + + + + Size interval along base plane X axis + 02989086-b55d-4d94-88e6-c3a9b338c2ce + X Interval + X Interval + false + 0 + + + + + + 4761 + 9605 + 57 + 20 + + + 4791 + 9615 + + + + + + + + Size interval along base plane Y axis + 43f9982e-b04d-4a10-b2cc-397c331b393a + Y Interval + Y Interval + false + 0 + + + + + + 4761 + 9625 + 57 + 20 + + + 4791 + 9635 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 90b05c88-d3a5-4ccf-a12e-41ffbfc42c9d + Deconstruct Domain + Deconstruct Domain + + + + + + 4697 + 9456 + 104 + 44 + + + 4755 + 9478 + + + + + + Base domain + 59e5f868-6422-4ea4-9fd1-3b2b749fe1e5 + Domain + Domain + false + 43f9982e-b04d-4a10-b2cc-397c331b393a + 1 + + + + + + 4699 + 9458 + 41 + 40 + + + 4721 + 9478 + + + + + + + + Start of domain + 8d34297c-5c39-4f71-8b36-bb7dafbb7f50 + Start + Start + false + 0 + + + + + + 4770 + 9458 + 29 + 20 + + + 4786 + 9468 + + + + + + + + End of domain + d599aab5-2608-417f-8420-c6def6989f50 + End + End + false + 0 + + + + + + 4770 + 9478 + 29 + 20 + + + 4786 + 9488 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 4aca5976-a4c3-45c6-a32f-15b1adfe6bc3 + Deconstruct Domain + Deconstruct Domain + + + + + + 4697 + 9518 + 104 + 44 + + + 4755 + 9540 + + + + + + Base domain + 93fbd6e5-f9f9-476e-89a7-b7ff22c5bc6b + Domain + Domain + false + 02989086-b55d-4d94-88e6-c3a9b338c2ce + 1 + + + + + + 4699 + 9520 + 41 + 40 + + + 4721 + 9540 + + + + + + + + Start of domain + 50a00841-164e-4371-99f2-7c3c3d121b94 + Start + Start + false + 0 + + + + + + 4770 + 9520 + 29 + 20 + + + 4786 + 9530 + + + + + + + + End of domain + d35783d7-1e1a-4450-9ccb-f56deef872a6 + End + End + false + 0 + + + + + + 4770 + 9540 + 29 + 20 + + + 4786 + 9550 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + e50a1ab8-7447-4da8-b644-894624e78e37 + Scale NU + Scale NU + + + + + + 4672 + 9333 + 154 + 104 + + + 4756 + 9385 + + + + + + Base geometry + ba93d14e-4dc3-4dce-8093-5d293f901530 + Geometry + Geometry + true + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + + + + + + 4674 + 9335 + 67 + 20 + + + 4717 + 9345 + + + + + + + + Base plane + 639bb340-a27d-429d-b4d9-ea65dc3a59bf + Plane + Plane + false + 0 + + + + + + 4674 + 9355 + 67 + 20 + + + 4717 + 9365 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 8ef98dd0-dfc4-4f52-9b52-d6bbca8a2232 + 1/X + Scale X + Scale X + false + d35783d7-1e1a-4450-9ccb-f56deef872a6 + 1 + + + + + + 4674 + 9375 + 67 + 20 + + + 4717 + 9385 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + 7d061753-b71c-4476-9f80-64b33c9620ad + 1/X + Scale Y + Scale Y + false + d599aab5-2608-417f-8420-c6def6989f50 + 1 + + + + + + 4674 + 9395 + 67 + 20 + + + 4717 + 9405 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + 8e37cb46-4309-4a3e-9e62-0b22c93efbcc + Scale Z + Scale Z + false + 0 + + + + + + 4674 + 9415 + 67 + 20 + + + 4717 + 9425 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + f3779aff-ce7b-42ce-b8aa-09e6d289bab6 + Geometry + Geometry + false + 0 + + + + + + 4771 + 9335 + 53 + 50 + + + 4799 + 9360 + + + + + + + + Transformation data + c0c72569-381c-4aaa-ab0b-4d4873c2f30d + Transform + Transform + false + 0 + + + + + + 4771 + 9385 + 53 + 50 + + + 4799 + 9410 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a125a8c3-93b2-4e73-a666-786124237c7c + 5e77352d-a354-4344-a188-f465fcdac189 + b6259596-7390-4b8c-9676-187b43339133 + 90b05c88-d3a5-4ccf-a12e-41ffbfc42c9d + 4aca5976-a4c3-45c6-a32f-15b1adfe6bc3 + e50a1ab8-7447-4da8-b644-894624e78e37 + 202fba07-ff87-4a76-bf41-2713fd53fbec + 92872ee8-e7ec-4b2a-b425-fe4d823e6b35 + 9d4ab7d7-3769-4680-9ee1-9c41ac1d31b0 + 48833b67-abab-4685-b729-16d511f4b9ac + 10 + ef991361-6b71-4172-b937-4d10df93fc8d + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 202fba07-ff87-4a76-bf41-2713fd53fbec + Curve + Curve + false + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + + + + + + 4727 + 9842 + 50 + 24 + + + 4752.093 + 9854.17 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 92872ee8-e7ec-4b2a-b425-fe4d823e6b35 + Curve + Curve + false + f3779aff-ce7b-42ce-b8aa-09e6d289bab6 + 1 + + + + + + 4721 + 9287 + 50 + 24 + + + 4746 + 9299.039 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 9d4ab7d7-3769-4680-9ee1-9c41ac1d31b0 + Move + Move + + + + + + 4675 + 9225 + 138 + 44 + + + 4743 + 9247 + + + + + + Base geometry + 02062639-ab71-45e0-a630-c94295085a73 + Geometry + Geometry + true + 92872ee8-e7ec-4b2a-b425-fe4d823e6b35 + 1 + + + + + + 4677 + 9227 + 51 + 20 + + + 4704 + 9237 + + + + + + + + Translation vector + 41867e57-a0c4-4f98-a0f6-027fd9d4930d + Motion + Motion + false + 0 + + + + + + 4677 + 9247 + 51 + 20 + + + 4704 + 9257 + + + + + + 1 + + + + + 1 + {0} + + + + + + 2.5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 5bc2468e-1e74-4d08-9d67-0d83edc836a3 + Geometry + Geometry + false + 0 + + + + + + 4758 + 9227 + 53 + 20 + + + 4786 + 9237 + + + + + + + + Transformation data + b60f4b42-bc2d-410f-bafc-2e317da34e46 + Transform + Transform + false + 0 + + + + + + 4758 + 9247 + 53 + 20 + + + 4786 + 9257 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 48833b67-abab-4685-b729-16d511f4b9ac + Curve + Curve + false + 5bc2468e-1e74-4d08-9d67-0d83edc836a3 + 1 + + + + + + 4721 + 9175 + 50 + 24 + + + 4746.207 + 9187.815 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 498be186-f17a-4e6e-9e79-a08de2ee73bd + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 4126 + 14007 + 439 + 20 + + 0 + 0 + 0 + + 4126.646 + 14007.4 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 5c69f1af-3070-438c-9ad8-9923efe4f79f + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 4219 + 14158 + 251 + 20 + + + 4219.673 + 14158.14 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 129bee11-1625-4d81-bee1-6b07aae4fdff + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 4126 + 14066 + 439 + 20 + + 0 + 0 + 0 + + 4126.512 + 14066.78 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 3a59296e-6667-438e-b40a-411acf304b4b + true + Move + Move + + + + + + 2847 + 9050 + 138 + 44 + + + 2915 + 9072 + + + + + + Base geometry + b1806dbf-39e8-4d04-85f6-7043fe3d40f0 + true + Geometry + Geometry + true + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 1 + + + + + + 2849 + 9052 + 51 + 20 + + + 2876 + 9062 + + + + + + + + Translation vector + 22b1bc7a-04d0-4e7c-84f9-55bcbebede49 + true + Motion + Motion + false + 0 + + + + + + 2849 + 9072 + 51 + 20 + + + 2876 + 9082 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Translated geometry + 8bc6df17-36bd-4640-8779-bb118a25d296 + true + Geometry + Geometry + false + 0 + + + + + + 2930 + 9052 + 53 + 20 + + + 2958 + 9062 + + + + + + + + Transformation data + 7a6fcfc3-efb4-4d80-a4c6-da752415e14d + true + Transform + Transform + false + 0 + + + + + + 2930 + 9072 + 53 + 20 + + + 2958 + 9082 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 8fae6707-35c9-49ef-96bf-d5708e512f8c + true + Curve + Curve + false + 8bc6df17-36bd-4640-8779-bb118a25d296 + 1 + + + + + + 2879 + 8983 + 50 + 24 + + + 2904 + 8995.313 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 589075b9-2b51-480f-92d4-4420a7b92fd9 + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000052430 + + + + + + 2773 + 12798 + 250 + 20 + + + 2773.903 + 12798.92 + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 515aa4ed-7d0b-41c2-8a15-e458b1f9659f + Point + Point + false + 1735ea28-d9c2-460e-8036-e182399799eb + 1 + + + + + + 4342 + 11782 + 50 + 24 + + + 4367.489 + 11794.87 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 1735ea28-d9c2-460e-8036-e182399799eb + Relay + + false + 31c6e3ed-8058-4483-b952-0f2d075ed585 + 1 + + + + + + 4346 + 11830 + 40 + 16 + + + 4366 + 11838 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 72240493-81f6-452f-95bf-65412ec6da40 + Relay + + false + 47dfc268-6b03-4a23-9ab3-327e751d3724 + 1 + + + + + + 4346 + 11607 + 40 + 16 + + + 4366 + 11615 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + abd2599c-b66f-4796-b135-505f6671f818 + Scale + Scale + + + + + + 4289 + 11643 + 154 + 64 + + + 4373 + 11675 + + + + + + Base geometry + dc50de48-50fe-4a42-b3f8-09da1c91c287 + Geometry + Geometry + true + 515aa4ed-7d0b-41c2-8a15-e458b1f9659f + 1 + + + + + + 4291 + 11645 + 67 + 20 + + + 4334 + 11655 + + + + + + + + Center of scaling + 9886a441-11b7-42d7-8fc4-df228260f2fe + Center + Center + false + 0 + + + + + + 4291 + 11665 + 67 + 20 + + + 4334 + 11675 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 51a1bf12-bca0-4396-809b-974ff5cfec5c + 2^X + Factor + Factor + false + 7b9d6ded-0c99-487c-9351-2a3cca1c2110 + 1 + + + + + + 4291 + 11685 + 67 + 20 + + + 4334 + 11695 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 47dfc268-6b03-4a23-9ab3-327e751d3724 + Geometry + Geometry + false + 0 + + + + + + 4388 + 11645 + 53 + 30 + + + 4416 + 11660 + + + + + + + + Transformation data + b3926032-ce53-464f-9e28-039386001659 + Transform + Transform + false + 0 + + + + + + 4388 + 11675 + 53 + 30 + + + 4416 + 11690 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 7b9d6ded-0c99-487c-9351-2a3cca1c2110 + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 4247 + 11727 + 250 + 20 + + + 4247.267 + 11727.23 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 515aa4ed-7d0b-41c2-8a15-e458b1f9659f + 1 + c2e639ee-1c56-4725-9c22-3c83610edc53 + Group + Point + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 59bf3a99-70d7-46ed-90ec-a0f0d4c1ddda + Move + Move + + + + + + 3221 + 9050 + 138 + 44 + + + 3289 + 9072 + + + + + + Base geometry + 2bda810b-ccb4-4da8-a1cc-8b5184af3aeb + Geometry + Geometry + true + f32e469d-5411-4757-a641-2639d4f5739a + 1 + + + + + + 3223 + 9052 + 51 + 20 + + + 3250 + 9062 + + + + + + + + Translation vector + a0c8da96-a314-418a-bbeb-e2e4ec05ecb1 + Motion + Motion + false + 0 + + + + + + 3223 + 9072 + 51 + 20 + + + 3250 + 9082 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 4ee18c1c-e3d4-49cb-853e-7477b9ccbb87 + Geometry + Geometry + false + 0 + + + + + + 3304 + 9052 + 53 + 20 + + + 3332 + 9062 + + + + + + + + Transformation data + e05bfe81-7da9-4146-8ccc-e809df7e43d9 + Transform + Transform + false + 0 + + + + + + 3304 + 9072 + 53 + 20 + + + 3332 + 9082 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c86da1e9-be3c-4594-b203-2c288256aeb0 + Curve + Curve + false + 4ee18c1c-e3d4-49cb-853e-7477b9ccbb87 + 1 + + + + + + 3252 + 8984 + 50 + 24 + + + 3277.087 + 8996.554 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + dedfe789-29c6-4593-af82-02f033f7153d + 0ad98407-14cf-4326-a90c-2a3a2ff3f69e + 8e51e896-77f9-4f8e-9163-e0c326cb830d + b6c87281-0865-4ce1-ab93-3245995234b2 + 9a0f8949-a570-4642-ba43-d12a64260252 + 57321ef9-d766-4c26-936f-87297eda8e4c + 6 + 6a7a5db4-213c-430f-b86e-fcec296555f1 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + cd50d13b-bd2f-4374-a5fd-fa1ea9f0c503 + a8d06f76-0302-432a-914c-6139b2c2c5ba + bdce7620-c15a-4dd1-a721-833ed73f8f7d + d996f368-b4fa-4fbc-afdb-32db2874c6b5 + 13bfe745-6bcc-44d5-ac92-2ecc8329c5a0 + d75820f0-bb37-4abb-9225-e553339db5b1 + 7a2fd703-3c5a-45f9-b1e7-2a75693de004 + d5a730cb-5d92-4d83-a8b1-36842705e0c7 + 77316fc6-532b-4419-b124-19d6857ef25c + 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd + 3b7f5578-dc96-4e80-a3c9-b7ecb20f0995 + a22ee24a-c97b-496e-85f3-170833a2c20a + 6751dded-61f5-4116-ae7d-70e3e62bb4f4 + a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 + c224342c-801f-4459-9224-44879ddf539f + 5b72b61e-c707-41cc-8321-4cdcde7b1603 + 0e63da62-fc21-4853-b665-f1b6a097aa62 + 51505618-00ee-42c6-91db-d51a4518e63a + 91a9907e-16e2-42d5-adce-80f08547a326 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 43f42d91-5176-4c4f-afee-8dec17e3fefd + 00e0fa87-e939-458a-a5c2-a7c1881b324b + a5be8183-8052-4c18-b9c3-b5ad4806e481 + 44966b1b-3ea0-483a-82d9-f4f1fa578005 + 8806d21d-7702-4c51-9c8e-c26672cb86bd + 4361eca2-7e72-479b-90f9-ca08f68314cd + d3dd375f-6e48-40ff-9657-314f71dccd8e + c32c4687-949b-4b62-adfc-13c978459a44 + 9982f79e-ff56-4209-b777-92feecfebf0b + f7b46e5c-262a-4b4a-b27f-f3b6fcdf6cb7 + 0d3eda3f-4923-44f8-90a9-89dfecb28754 + 3d3e34c6-181a-467b-8cad-0184b338d3ab + 9b12e5ff-888d-4bcd-b58f-b1e25865e413 + d7e26251-a338-4524-be58-83a550471308 + b7daf0c1-c870-43f1-8069-937188ea2098 + 9c6499e6-36ac-4453-a5a2-0b08a670e6b3 + 0e8fb521-dae4-4b07-9818-8bad01802859 + 705c4605-737a-4483-bb5d-30d2abe2372d + 0c5d082d-5e4e-4261-ab49-9e89b25bdd8b + acd7f663-1e08-4750-9935-f932723f55c2 + 7781dbe1-0868-4c91-9085-d86a30252cd1 + c95810a3-7ba4-4cf5-9c11-4bb71d47121e + e2890801-a224-4d61-ad7e-72a44d574e47 + e1d4d571-b98d-45a4-84a5-722727a300a1 + 043653af-cbde-4517-b422-be6e5f87936f + 07841301-4cf3-4a66-85b1-e5ec916a2e39 + 71bafbfa-bbd2-4731-b092-360d68dd1f89 + 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 + cc6f43b8-5f43-4c3a-bcd8-21d40ab07b22 + ae074b5b-3e33-4c75-b243-1040c562808e + 169030d8-0ef3-4395-bcc3-cbe9bf9fe74c + d34026ca-4b70-4411-82cf-8d3ed999249a + a7b120dd-93ab-4c05-b07c-8cca78678511 + b6942b45-28f1-415e-b716-c145bc9151f8 + 4756b165-e13c-4efa-a9f4-49cfee960c09 + 2cd8d8bc-a40f-437b-b31c-558faba36c20 + ae8f0f43-e96e-487a-8de1-2180383d09ef + e80ad1f6-d186-46ea-b4ca-5a18de688c31 + 7f41b441-96a4-4dd8-8529-ef17e9883be8 + c446016e-395b-49f7-93f2-d70abc692b11 + 7282fb8c-f882-4173-951c-c2dc9d0cfe9b + 12a17ae0-1bea-4760-a22a-9107fe49a5bf + 2d7356db-3b2b-4dda-a323-e9139f48c65b + e15b337c-36b0-48cf-8b9d-8ab3c5ba06f2 + e28a1f4c-0160-400f-816a-427e4b6eb69c + bce92ca7-1d60-4e27-af26-79f0474f4ef5 + 8bce7019-294e-4431-acae-9cf3b83d6cbf + 15acfcdb-0966-49ce-b323-67a6586ecc0b + ba3d57c5-1de1-431f-9ca1-0ec66e14ac98 + a20beb6d-88ec-44e4-900b-86e895f1d955 + ef6b993d-c95e-4377-b3fd-234b7474bff7 + 13009076-acb9-4d71-becc-81d2f2ce38a6 + ad3f6d83-6e8c-431f-a4e3-21baf669d1cd + 909a2370-4806-4bd1-9748-07f578e0d30d + b8fb7f0e-c7dc-4787-b511-ebfbf7a4c32a + 805743f8-f4b5-4be8-b97c-3562acfda600 + ac135457-d344-4adb-8f93-f9cd86c093ea + 8b42ee2f-db97-4077-aad7-aa4be617f8d2 + b6d93c84-f99c-40cf-aa70-8172f4e56afe + 0cae36b2-f309-4924-933e-5864c8f0ef06 + 25d5288d-d4fd-4bd2-b9ae-3af995eb6d32 + d8bb3905-0d1b-4e9c-b51b-34c6c1b8f824 + a0f9dc65-f5a3-4883-aeed-a4ec58d91bb1 + 357048ec-5c88-4cb9-8f5c-81a5f5abfff8 + 7cc5932e-b5d0-4767-b86c-09db982220c7 + 85 + b8005e83-d913-4fcd-bd6a-0edf26b287b7 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a8d06f76-0302-432a-914c-6139b2c2c5ba + bdce7620-c15a-4dd1-a721-833ed73f8f7d + d996f368-b4fa-4fbc-afdb-32db2874c6b5 + 13bfe745-6bcc-44d5-ac92-2ecc8329c5a0 + d75820f0-bb37-4abb-9225-e553339db5b1 + 7a2fd703-3c5a-45f9-b1e7-2a75693de004 + d5a730cb-5d92-4d83-a8b1-36842705e0c7 + 77316fc6-532b-4419-b124-19d6857ef25c + 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd + 3b7f5578-dc96-4e80-a3c9-b7ecb20f0995 + a22ee24a-c97b-496e-85f3-170833a2c20a + 6751dded-61f5-4116-ae7d-70e3e62bb4f4 + a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 + c224342c-801f-4459-9224-44879ddf539f + 5b72b61e-c707-41cc-8321-4cdcde7b1603 + 0e63da62-fc21-4853-b665-f1b6a097aa62 + 51505618-00ee-42c6-91db-d51a4518e63a + 91a9907e-16e2-42d5-adce-80f08547a326 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 43f42d91-5176-4c4f-afee-8dec17e3fefd + 00e0fa87-e939-458a-a5c2-a7c1881b324b + a5be8183-8052-4c18-b9c3-b5ad4806e481 + 44966b1b-3ea0-483a-82d9-f4f1fa578005 + 8806d21d-7702-4c51-9c8e-c26672cb86bd + 4361eca2-7e72-479b-90f9-ca08f68314cd + d3dd375f-6e48-40ff-9657-314f71dccd8e + c32c4687-949b-4b62-adfc-13c978459a44 + 9982f79e-ff56-4209-b777-92feecfebf0b + f7b46e5c-262a-4b4a-b27f-f3b6fcdf6cb7 + 0d3eda3f-4923-44f8-90a9-89dfecb28754 + 3d3e34c6-181a-467b-8cad-0184b338d3ab + 9b12e5ff-888d-4bcd-b58f-b1e25865e413 + d7e26251-a338-4524-be58-83a550471308 + b7daf0c1-c870-43f1-8069-937188ea2098 + 9c6499e6-36ac-4453-a5a2-0b08a670e6b3 + 0e8fb521-dae4-4b07-9818-8bad01802859 + 705c4605-737a-4483-bb5d-30d2abe2372d + 0c5d082d-5e4e-4261-ab49-9e89b25bdd8b + acd7f663-1e08-4750-9935-f932723f55c2 + 7781dbe1-0868-4c91-9085-d86a30252cd1 + c95810a3-7ba4-4cf5-9c11-4bb71d47121e + e2890801-a224-4d61-ad7e-72a44d574e47 + e1d4d571-b98d-45a4-84a5-722727a300a1 + 043653af-cbde-4517-b422-be6e5f87936f + 07841301-4cf3-4a66-85b1-e5ec916a2e39 + 71bafbfa-bbd2-4731-b092-360d68dd1f89 + 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 + cc6f43b8-5f43-4c3a-bcd8-21d40ab07b22 + ae074b5b-3e33-4c75-b243-1040c562808e + 169030d8-0ef3-4395-bcc3-cbe9bf9fe74c + d34026ca-4b70-4411-82cf-8d3ed999249a + a7b120dd-93ab-4c05-b07c-8cca78678511 + b6942b45-28f1-415e-b716-c145bc9151f8 + 4756b165-e13c-4efa-a9f4-49cfee960c09 + 2cd8d8bc-a40f-437b-b31c-558faba36c20 + ae8f0f43-e96e-487a-8de1-2180383d09ef + e80ad1f6-d186-46ea-b4ca-5a18de688c31 + 7f41b441-96a4-4dd8-8529-ef17e9883be8 + c446016e-395b-49f7-93f2-d70abc692b11 + 7282fb8c-f882-4173-951c-c2dc9d0cfe9b + 12a17ae0-1bea-4760-a22a-9107fe49a5bf + 2d7356db-3b2b-4dda-a323-e9139f48c65b + e15b337c-36b0-48cf-8b9d-8ab3c5ba06f2 + e28a1f4c-0160-400f-816a-427e4b6eb69c + bce92ca7-1d60-4e27-af26-79f0474f4ef5 + 8bce7019-294e-4431-acae-9cf3b83d6cbf + 15acfcdb-0966-49ce-b323-67a6586ecc0b + ba3d57c5-1de1-431f-9ca1-0ec66e14ac98 + a20beb6d-88ec-44e4-900b-86e895f1d955 + ef6b993d-c95e-4377-b3fd-234b7474bff7 + 13009076-acb9-4d71-becc-81d2f2ce38a6 + ad3f6d83-6e8c-431f-a4e3-21baf669d1cd + 909a2370-4806-4bd1-9748-07f578e0d30d + b8fb7f0e-c7dc-4787-b511-ebfbf7a4c32a + 805743f8-f4b5-4be8-b97c-3562acfda600 + ac135457-d344-4adb-8f93-f9cd86c093ea + 8b42ee2f-db97-4077-aad7-aa4be617f8d2 + b6d93c84-f99c-40cf-aa70-8172f4e56afe + 0cae36b2-f309-4924-933e-5864c8f0ef06 + 79 + cd50d13b-bd2f-4374-a5fd-fa1ea9f0c503 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8b42ee2f-db97-4077-aad7-aa4be617f8d2 + 1 + a8d06f76-0302-432a-914c-6139b2c2c5ba + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d996f368-b4fa-4fbc-afdb-32db2874c6b5 + 1 + bdce7620-c15a-4dd1-a721-833ed73f8f7d + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 13bfe745-6bcc-44d5-ac92-2ecc8329c5a0 + 1 + d996f368-b4fa-4fbc-afdb-32db2874c6b5 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d75820f0-bb37-4abb-9225-e553339db5b1 + 1 + 13bfe745-6bcc-44d5-ac92-2ecc8329c5a0 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 7a2fd703-3c5a-45f9-b1e7-2a75693de004 + 1 + d75820f0-bb37-4abb-9225-e553339db5b1 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d5a730cb-5d92-4d83-a8b1-36842705e0c7 + 1 + 7a2fd703-3c5a-45f9-b1e7-2a75693de004 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd + 1 + d5a730cb-5d92-4d83-a8b1-36842705e0c7 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 77316fc6-532b-4419-b124-19d6857ef25c + true + Curve + Curve + false + 0 + + + + + + 19868 + 13094 + 50 + 24 + + + 19893.94 + 13106.56 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 77316fc6-532b-4419-b124-19d6857ef25c + 1 + 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f7b46e5c-262a-4b4a-b27f-f3b6fcdf6cb7 + 1 + 3b7f5578-dc96-4e80-a3c9-b7ecb20f0995 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6751dded-61f5-4116-ae7d-70e3e62bb4f4 + a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 + c224342c-801f-4459-9224-44879ddf539f + 5b72b61e-c707-41cc-8321-4cdcde7b1603 + 0e63da62-fc21-4853-b665-f1b6a097aa62 + 51505618-00ee-42c6-91db-d51a4518e63a + 91a9907e-16e2-42d5-adce-80f08547a326 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 00e0fa87-e939-458a-a5c2-a7c1881b324b + 43f42d91-5176-4c4f-afee-8dec17e3fefd + 3b7f5578-dc96-4e80-a3c9-b7ecb20f0995 + 513f6f70-4cb0-44c5-aa09-e20b7bdbbfcd + 8bce7019-294e-4431-acae-9cf3b83d6cbf + 15acfcdb-0966-49ce-b323-67a6586ecc0b + ba3d57c5-1de1-431f-9ca1-0ec66e14ac98 + a20beb6d-88ec-44e4-900b-86e895f1d955 + ef6b993d-c95e-4377-b3fd-234b7474bff7 + 13009076-acb9-4d71-becc-81d2f2ce38a6 + e15b337c-36b0-48cf-8b9d-8ab3c5ba06f2 + e28a1f4c-0160-400f-816a-427e4b6eb69c + 20 + a22ee24a-c97b-496e-85f3-170833a2c20a + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 6751dded-61f5-4116-ae7d-70e3e62bb4f4 + true + Duplicate Data + Duplicate Data + + + + + + 19843 + 14259 + 104 + 64 + + + 19902 + 14291 + + + + + + 1 + Data to duplicate + 44bb5dbe-ab05-4f9c-954d-882f14fdacce + true + Data + Data + false + 6e66f57e-38ab-4ebe-ba95-af421b37b6af + 1 + + + + + + 19845 + 14261 + 42 + 20 + + + 19867.5 + 14271 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 1c6133c6-4138-4c35-a5fb-9ced5c1236d1 + true + Number + Number + false + bce92ca7-1d60-4e27-af26-79f0474f4ef5 + 1 + + + + + + 19845 + 14281 + 42 + 20 + + + 19867.5 + 14291 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + bbc9c5c3-8a48-489a-8815-b189d5578d16 + true + Order + Order + false + 0 + + + + + + 19845 + 14301 + 42 + 20 + + + 19867.5 + 14311 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + fb451eba-0ecb-4301-9982-52fd2e4ca758 + true + Data + Data + false + 0 + + + + + + 19917 + 14261 + 28 + 60 + + + 19932.5 + 14291 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 19829 + 12331 + 116 + 44 + + + 19890 + 12353 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 1a5579d4-65cb-4d2d-9962-d6edc8dd2e0e + true + Forward + Forward + true + 1 + true + fb451eba-0ecb-4301-9982-52fd2e4ca758 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 19831 + 12333 + 44 + 20 + + + 19854.5 + 12343 + + + + + + + + 1 + false + Script Variable Left + 9038a9df-59d3-4df9-9351-47fd30202540 + true + Left + Left + true + 1 + true + 23210470-a829-432f-9104-72180222a72d + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 19831 + 12353 + 44 + 20 + + + 19854.5 + 12363 + + + + + + + + Print, Reflect and Error streams + dcca8280-f52a-4d3b-a9ac-709dbdd3d573 + true + Output + Output + false + 0 + + + + + + 19905 + 12333 + 38 + 20 + + + 19925.5 + 12343 + + + + + + + + Output parameter Points + 4d442fde-c9e8-4f99-b4ac-7861aec8dcdf + true + Points + Points + false + 0 + + + + + + 19905 + 12353 + 38 + 20 + + + 19925.5 + 12363 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 5b72b61e-c707-41cc-8321-4cdcde7b1603 + true + Series + Series + + + + + + 19840 + 13588 + 101 + 64 + + + 19890 + 13620 + + + + + + First number in the series + 8117e42f-3ae5-4096-b6db-e2701e32273e + true + Start + Start + false + 0 + + + + + + 19842 + 13590 + 33 + 20 + + + 19860 + 13600 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 900bb15d-fcaa-4ed2-914d-dc65d964cc20 + true + Step + Step + false + ac135457-d344-4adb-8f93-f9cd86c093ea + 1 + + + + + + 19842 + 13610 + 33 + 20 + + + 19860 + 13620 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 2ff2b0d7-0ede-4509-bdb1-fcd22b116940 + true + Count + Count + false + bce92ca7-1d60-4e27-af26-79f0474f4ef5 + 1 + + + + + + 19842 + 13630 + 33 + 20 + + + 19860 + 13640 + + + + + + + + 1 + Series of numbers + a67158d0-bd57-4cc1-9d6c-2761dbb52beb + true + Series + Series + false + 0 + + + + + + 19905 + 13590 + 34 + 60 + + + 19923.5 + 13620 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 0e63da62-fc21-4853-b665-f1b6a097aa62 + true + Number Slider + + false + 0 + + + + + + 19826 + 14438 + 150 + 20 + + + 19826.62 + 14438.41 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 51505618-00ee-42c6-91db-d51a4518e63a + true + Radians + Radians + + + + + + 19790 + 13830 + 120 + 28 + + + 19851 + 13844 + + + + + + Angle in degrees + ea8af976-f4f0-45ea-bbb3-229de48bc776 + true + Degrees + Degrees + false + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 1 + + + + + + 19792 + 13832 + 44 + 24 + + + 19815.5 + 13844 + + + + + + + + Angle in radians + 7f960f63-5001-4e99-bded-b99fdd564f68 + true + Radians + Radians + false + 0 + + + + + + 19866 + 13832 + 42 + 24 + + + 19888.5 + 13844 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 91a9907e-16e2-42d5-adce-80f08547a326 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 19766 + 14193 + 251 + 20 + + + 19766.83 + 14193.4 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 43f42d91-5176-4c4f-afee-8dec17e3fefd + true + Interpolate (t) + Interpolate (t) + + + + + + 19815 + 11566 + 144 + 84 + + + 19901 + 11608 + + + + + + 1 + Interpolation points + fc261672-d767-4e35-9f3a-ccfb8a27fe3e + true + Vertices + Vertices + false + 8e51e896-77f9-4f8e-9163-e0c326cb830d + 1 + + + + + + 19817 + 11568 + 69 + 20 + + + 19853 + 11578 + + + + + + + + Tangent at start of curve + b1ddbecf-3cbe-40d8-969a-c2531ba366e1 + true + Tangent Start + Tangent Start + false + 0 + + + + + + 19817 + 11588 + 69 + 20 + + + 19853 + 11598 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 1e2dda87-d283-45f9-9b7e-aa27fdb123f8 + true + Tangent End + Tangent End + false + 0 + + + + + + 19817 + 11608 + 69 + 20 + + + 19853 + 11618 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + c7628616-f96f-455c-8b2c-c2b7c2d14380 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 19817 + 11628 + 69 + 20 + + + 19853 + 11638 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 + true + Curve + Curve + false + 0 + + + + + + 19916 + 11568 + 41 + 26 + + + 19938 + 11581.33 + + + + + + + + Curve length + da4534ba-b204-4946-9581-1d487542bf08 + true + Length + Length + false + 0 + + + + + + 19916 + 11594 + 41 + 27 + + + 19938 + 11608 + + + + + + + + Curve domain + dbe3ee94-b575-4c7e-8e52-f30b4240bca1 + true + Domain + Domain + false + 0 + + + + + + 19916 + 11621 + 41 + 27 + + + 19938 + 11634.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6751dded-61f5-4116-ae7d-70e3e62bb4f4 + a5ed6cd7-9bd8-454d-9b30-ceccb9b87e37 + c224342c-801f-4459-9224-44879ddf539f + 5b72b61e-c707-41cc-8321-4cdcde7b1603 + 0e63da62-fc21-4853-b665-f1b6a097aa62 + 51505618-00ee-42c6-91db-d51a4518e63a + 91a9907e-16e2-42d5-adce-80f08547a326 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 909a2370-4806-4bd1-9748-07f578e0d30d + d7e26251-a338-4524-be58-83a550471308 + 2d7356db-3b2b-4dda-a323-e9139f48c65b + ad3f6d83-6e8c-431f-a4e3-21baf669d1cd + b8fb7f0e-c7dc-4787-b511-ebfbf7a4c32a + 32499351-f670-4091-8e63-39ea27a7ab45 + 14 + 00e0fa87-e939-458a-a5c2-a7c1881b324b + Group + + + + + + + + + + + 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 + a5be8183-8052-4c18-b9c3-b5ad4806e481 + true + Evaluate Length + Evaluate Length + + + + + + 19815 + 11398 + 144 + 64 + + + 19889 + 11430 + + + + + + Curve to evaluate + 4bbe1110-a807-4c12-8147-c1d86f3d9c00 + true + Curve + Curve + false + 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 + 1 + + + + + + 19817 + 11400 + 57 + 20 + + + 19847 + 11410 + + + + + + + + Length factor for curve evaluation + 910a4ec4-2fa1-40c8-8007-689f7ea1c51c + true + Length + Length + false + 0 + + + + + + 19817 + 11420 + 57 + 20 + + + 19847 + 11430 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 73968315-c692-44c6-900d-0ee2a3cffbd4 + true + Normalized + Normalized + false + 0 + + + + + + 19817 + 11440 + 57 + 20 + + + 19847 + 11450 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + c0642d5a-3d4b-4dc5-82cd-cccf47a36b28 + true + Point + Point + false + 0 + + + + + + 19904 + 11400 + 53 + 20 + + + 19932 + 11410 + + + + + + + + Tangent vector at the specified length + eda4539a-29d4-440d-94bc-4d594360cf45 + true + Tangent + Tangent + false + 0 + + + + + + 19904 + 11420 + 53 + 20 + + + 19932 + 11430 + + + + + + + + Curve parameter at the specified length + 8653f75a-4dd3-4e7c-9de5-2f8007af2ead + true + Parameter + Parameter + false + 0 + + + + + + 19904 + 11440 + 53 + 20 + + + 19932 + 11450 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 44966b1b-3ea0-483a-82d9-f4f1fa578005 + true + Mirror + Mirror + + + + + + 19818 + 11336 + 138 + 44 + + + 19886 + 11358 + + + + + + Base geometry + 6efe9667-e6dd-42cd-a4fb-88cdec45b92f + true + Geometry + Geometry + true + 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 + 1 + + + + + + 19820 + 11338 + 51 + 20 + + + 19847 + 11348 + + + + + + + + Mirror plane + 68e7741c-f9d7-4f97-8d28-c38c8af7c7e4 + true + Plane + Plane + false + fc45468d-f5ea-4b46-a2b3-fe3c1afb8068 + 1 + + + + + + 19820 + 11358 + 51 + 20 + + + 19847 + 11368 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + c793c331-4fbd-49ce-a1cf-4037e3705174 + true + Geometry + Geometry + false + 0 + + + + + + 19901 + 11338 + 53 + 20 + + + 19929 + 11348 + + + + + + + + Transformation data + 5cef374b-a716-4946-a2e9-d407bd0da8cf + true + Transform + Transform + false + 0 + + + + + + 19901 + 11358 + 53 + 20 + + + 19929 + 11368 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 8806d21d-7702-4c51-9c8e-c26672cb86bd + true + Line SDL + Line SDL + + + + + + 19834 + 11482 + 106 + 64 + + + 19898 + 11514 + + + + + + Line start point + 4763e0fc-d01f-4ab9-be99-2ce80cee9d4a + true + Start + Start + false + c0642d5a-3d4b-4dc5-82cd-cccf47a36b28 + 1 + + + + + + 19836 + 11484 + 47 + 20 + + + 19861 + 11494 + + + + + + + + Line tangent (direction) + f3a74835-ec4e-482d-9fff-b79b78383670 + true + Direction + Direction + false + eda4539a-29d4-440d-94bc-4d594360cf45 + 1 + + + + + + 19836 + 11504 + 47 + 20 + + + 19861 + 11514 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + f9f0f373-f7a3-407d-a7dc-a3642c8ced7e + true + Length + Length + false + 0 + + + + + + 19836 + 11524 + 47 + 20 + + + 19861 + 11534 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + fc45468d-f5ea-4b46-a2b3-fe3c1afb8068 + true + Line + Line + false + 0 + + + + + + 19913 + 11484 + 25 + 60 + + + 19927 + 11514 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 4361eca2-7e72-479b-90f9-ca08f68314cd + true + Join Curves + Join Curves + + + + + + 19828 + 11274 + 118 + 44 + + + 19891 + 11296 + + + + + + 1 + Curves to join + c9db13de-3310-4b52-b3ea-97394158fc10 + true + Curves + Curves + false + 2891ddf4-5bcd-457d-87fb-d6ace3bdec93 + c793c331-4fbd-49ce-a1cf-4037e3705174 + 2 + + + + + + 19830 + 11276 + 46 + 20 + + + 19854.5 + 11286 + + + + + + + + Preserve direction of input curves + f7b69204-bf9a-4975-9adc-f03b2efbdf66 + true + Preserve + Preserve + false + 0 + + + + + + 19830 + 11296 + 46 + 20 + + + 19854.5 + 11306 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 0de341f6-8378-48af-8922-967aa818ba3c + true + Curves + Curves + false + 0 + + + + + + 19906 + 11276 + 38 + 40 + + + 19926.5 + 11296 + + + + + + + + + + + + 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 + d3dd375f-6e48-40ff-9657-314f71dccd8e + true + Evaluate Length + Evaluate Length + + + + + + 19815 + 11190 + 144 + 64 + + + 19889 + 11222 + + + + + + Curve to evaluate + 47a3462d-eef3-490e-a864-db335ce0e375 + true + Curve + Curve + false + 0de341f6-8378-48af-8922-967aa818ba3c + 1 + + + + + + 19817 + 11192 + 57 + 20 + + + 19847 + 11202 + + + + + + + + Length factor for curve evaluation + e9137704-c647-4ead-8bf0-076d70120b4b + true + Length + Length + false + 0 + + + + + + 19817 + 11212 + 57 + 20 + + + 19847 + 11222 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + ce7ae3e8-5b38-4ec9-b347-94f60584bb46 + true + Normalized + Normalized + false + 0 + + + + + + 19817 + 11232 + 57 + 20 + + + 19847 + 11242 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 1687bfac-5d38-45b1-a7ea-2b25ecb16e72 + true + Point + Point + false + 0 + + + + + + 19904 + 11192 + 53 + 20 + + + 19932 + 11202 + + + + + + + + Tangent vector at the specified length + ce0994de-2117-458c-9516-4d3055806371 + true + Tangent + Tangent + false + 0 + + + + + + 19904 + 11212 + 53 + 20 + + + 19932 + 11222 + + + + + + + + Curve parameter at the specified length + 73ca1991-c283-4c19-87f7-69bc774a7109 + true + Parameter + Parameter + false + 0 + + + + + + 19904 + 11232 + 53 + 20 + + + 19932 + 11242 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + c32c4687-949b-4b62-adfc-13c978459a44 + true + Rotate + Rotate + + + + + + 19818 + 11107 + 138 + 64 + + + 19886 + 11139 + + + + + + Base geometry + b6aea7bf-5e0e-458d-beed-1c2c8e02f701 + true + Geometry + Geometry + true + 0de341f6-8378-48af-8922-967aa818ba3c + 1 + + + + + + 19820 + 11109 + 51 + 20 + + + 19847 + 11119 + + + + + + + + Rotation angle in radians + 10cbdf1c-0a92-4297-a870-5b33a3485187 + true + Angle + Angle + false + 0 + false + + + + + + 19820 + 11129 + 51 + 20 + + + 19847 + 11139 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 3ccf34f9-35c3-4302-ab22-1cb44e0033c3 + true + Plane + Plane + false + 1687bfac-5d38-45b1-a7ea-2b25ecb16e72 + 1 + + + + + + 19820 + 11149 + 51 + 20 + + + 19847 + 11159 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + d61c1b3a-0ecc-40d8-abdb-975a5a459e86 + true + Geometry + Geometry + false + 0 + + + + + + 19901 + 11109 + 53 + 30 + + + 19929 + 11124 + + + + + + + + Transformation data + 210f36ea-502b-4b73-8c3e-808ae1fdaeda + true + Transform + Transform + false + 0 + + + + + + 19901 + 11139 + 53 + 30 + + + 19929 + 11154 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 9982f79e-ff56-4209-b777-92feecfebf0b + true + Join Curves + Join Curves + + + + + + 19828 + 11044 + 118 + 44 + + + 19891 + 11066 + + + + + + 1 + Curves to join + 3b3b7847-16c7-4873-bb6d-40473182dfea + true + Curves + Curves + false + 0de341f6-8378-48af-8922-967aa818ba3c + d61c1b3a-0ecc-40d8-abdb-975a5a459e86 + 2 + + + + + + 19830 + 11046 + 46 + 20 + + + 19854.5 + 11056 + + + + + + + + Preserve direction of input curves + 9e46f1b4-1d68-4007-bc19-b698b6ba0f4f + true + Preserve + Preserve + false + 0 + + + + + + 19830 + 11066 + 46 + 20 + + + 19854.5 + 11076 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 29ddbb5f-5cfd-4023-959a-1c3ce3f11ffd + true + Curves + Curves + false + 0 + + + + + + 19906 + 11046 + 38 + 40 + + + 19926.5 + 11066 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 43f42d91-5176-4c4f-afee-8dec17e3fefd + a5be8183-8052-4c18-b9c3-b5ad4806e481 + 44966b1b-3ea0-483a-82d9-f4f1fa578005 + 8806d21d-7702-4c51-9c8e-c26672cb86bd + 4361eca2-7e72-479b-90f9-ca08f68314cd + d3dd375f-6e48-40ff-9657-314f71dccd8e + c32c4687-949b-4b62-adfc-13c978459a44 + 9982f79e-ff56-4209-b777-92feecfebf0b + 3d3e34c6-181a-467b-8cad-0184b338d3ab + dedfe789-29c6-4593-af82-02f033f7153d + 0ad98407-14cf-4326-a90c-2a3a2ff3f69e + 8e51e896-77f9-4f8e-9163-e0c326cb830d + b6c87281-0865-4ce1-ab93-3245995234b2 + 57321ef9-d766-4c26-936f-87297eda8e4c + 9a0f8949-a570-4642-ba43-d12a64260252 + 15 + f7b46e5c-262a-4b4a-b27f-f3b6fcdf6cb7 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0d3eda3f-4923-44f8-90a9-89dfecb28754 + true + Panel + + false + 0 + e1d4d571-b98d-45a4-84a5-722727a300a1 + 1 + Double click to edit panel content… + + + + + + 19820 + 13679 + 145 + 20 + + 0 + 0 + 0 + + 19820.36 + 13679.91 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 3d3e34c6-181a-467b-8cad-0184b338d3ab + true + Curve + Curve + false + 29ddbb5f-5cfd-4023-959a-1c3ce3f11ffd + 1 + + + + + + 19868 + 11007 + 50 + 24 + + + 19893.94 + 11019.47 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 3d3e34c6-181a-467b-8cad-0184b338d3ab + 1 + 9b12e5ff-888d-4bcd-b58f-b1e25865e413 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d7e26251-a338-4524-be58-83a550471308 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 19674 + 13916 + 439 + 20 + + 0 + 0 + 0 + + 19674.92 + 13916.59 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + b7daf0c1-c870-43f1-8069-937188ea2098 + true + Evaluate Length + Evaluate Length + + + + + + 19815 + 10918 + 144 + 64 + + + 19889 + 10950 + + + + + + Curve to evaluate + b68b8748-763c-4876-ae5a-9eac2d636206 + true + Curve + Curve + false + 29ddbb5f-5cfd-4023-959a-1c3ce3f11ffd + 1 + + + + + + 19817 + 10920 + 57 + 20 + + + 19847 + 10930 + + + + + + + + Length factor for curve evaluation + ebc65293-34cc-4b16-9a27-ff8641c3cdc9 + true + Length + Length + false + 0 + + + + + + 19817 + 10940 + 57 + 20 + + + 19847 + 10950 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + d91211f0-1519-4b19-a7a6-0a568dc137a0 + true + Normalized + Normalized + false + 0 + + + + + + 19817 + 10960 + 57 + 20 + + + 19847 + 10970 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8b095251-e0a5-424f-b9f7-c19cb3b6b9d4 + true + Point + Point + false + 0 + + + + + + 19904 + 10920 + 53 + 20 + + + 19932 + 10930 + + + + + + + + Tangent vector at the specified length + 203c85bc-47d8-4fb2-86a0-e11a685461b0 + true + Tangent + Tangent + false + 0 + + + + + + 19904 + 10940 + 53 + 20 + + + 19932 + 10950 + + + + + + + + Curve parameter at the specified length + 362d6e02-8150-448e-b113-f8e4fb29e367 + true + Parameter + Parameter + false + 0 + + + + + + 19904 + 10960 + 53 + 20 + + + 19932 + 10970 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9c6499e6-36ac-4453-a5a2-0b08a670e6b3 + true + Expression + Expression + + + + + + 19790 + 10696 + 194 + 28 + + + 19890 + 10710 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 5e08d9d9-c759-474c-8ee4-48501e8d3071 + true + Variable O + O + true + 6bc3c88a-382e-429b-b739-b3c637ec9167 + 1 + + + + + + 19792 + 10698 + 14 + 24 + + + 19800.5 + 10710 + + + + + + + + Result of expression + 0c5bfe8e-d000-45dd-9075-fdd13ce53ed1 + true + Result + + false + 0 + + + + + + 19973 + 10698 + 9 + 24 + + + 19979 + 10710 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 0e8fb521-dae4-4b07-9818-8bad01802859 + true + Deconstruct + Deconstruct + + + + + + 19821 + 10830 + 132 + 64 + + + 19868 + 10862 + + + + + + Input point + ee11b5e7-2c89-40a3-98c8-e8daa69f139b + true + Point + Point + false + 8b095251-e0a5-424f-b9f7-c19cb3b6b9d4 + 1 + + + + + + 19823 + 10832 + 30 + 60 + + + 19839.5 + 10862 + + + + + + + + Point {x} component + 6bc3c88a-382e-429b-b739-b3c637ec9167 + true + X component + X component + false + 0 + + + + + + 19883 + 10832 + 68 + 20 + + + 19918.5 + 10842 + + + + + + + + Point {y} component + e2d25018-3ecd-477d-9619-b1a2153f60f0 + true + Y component + Y component + false + 0 + + + + + + 19883 + 10852 + 68 + 20 + + + 19918.5 + 10862 + + + + + + + + Point {z} component + 2630adec-27ac-4a51-8556-7c76d3add3fd + true + Z component + Z component + false + 0 + + + + + + 19883 + 10872 + 68 + 20 + + + 19918.5 + 10882 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 705c4605-737a-4483-bb5d-30d2abe2372d + true + Panel + + false + 0 + 0c5bfe8e-d000-45dd-9075-fdd13ce53ed1 + 1 + Double click to edit panel content… + + + + + + 19812 + 10673 + 160 + 20 + + 0 + 0 + 0 + + 19812.71 + 10673.05 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0c5d082d-5e4e-4261-ab49-9e89b25bdd8b + true + Expression + Expression + + + + + + 19790 + 10610 + 194 + 28 + + + 19890 + 10624 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 75c79058-7a7a-4d27-92b5-fb94095db47f + true + Variable O + O + true + e2d25018-3ecd-477d-9619-b1a2153f60f0 + 1 + + + + + + 19792 + 10612 + 14 + 24 + + + 19800.5 + 10624 + + + + + + + + Result of expression + 9f2e3219-5468-4c96-83e8-c599debfdcee + true + Result + + false + 0 + + + + + + 19973 + 10612 + 9 + 24 + + + 19979 + 10624 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + acd7f663-1e08-4750-9935-f932723f55c2 + true + Panel + + false + 0 + 9f2e3219-5468-4c96-83e8-c599debfdcee + 1 + Double click to edit panel content… + + + + + + 19812 + 10584 + 160 + 20 + + 0 + 0 + 0 + + 19812.71 + 10584.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 7781dbe1-0868-4c91-9085-d86a30252cd1 + true + Division + Division + + + + + + 19846 + 10508 + 82 + 44 + + + 19877 + 10530 + + + + + + Item to divide (dividend) + 478a782f-96b8-4671-b877-1d43d053547e + true + A + A + false + 705c4605-737a-4483-bb5d-30d2abe2372d + 1 + + + + + + 19848 + 10510 + 14 + 20 + + + 19856.5 + 10520 + + + + + + + + Item to divide with (divisor) + 65f3d1ef-d3da-4331-85bf-3dfa295f8bcc + true + B + B + false + acd7f663-1e08-4750-9935-f932723f55c2 + 1 + + + + + + 19848 + 10530 + 14 + 20 + + + 19856.5 + 10540 + + + + + + + + The result of the Division + 21a68447-ed9f-4d13-9799-506afe2e1a2d + true + Result + Result + false + 0 + + + + + + 19892 + 10510 + 34 + 40 + + + 19910.5 + 10530 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c95810a3-7ba4-4cf5-9c11-4bb71d47121e + true + Panel + + false + 0 + e1d4d571-b98d-45a4-84a5-722727a300a1 + 1 + Double click to edit panel content… + + + + + + 19812 + 10437 + 160 + 20 + + 0 + 0 + 0 + + 19812.95 + 10437.11 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e2890801-a224-4d61-ad7e-72a44d574e47 + true + Expression + Expression + + + + + + 19790 + 10461 + 194 + 28 + + + 19890 + 10475 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + ebb85077-a718-4a4a-97ea-1a308d5f8e79 + true + Variable O + O + true + 21a68447-ed9f-4d13-9799-506afe2e1a2d + 1 + + + + + + 19792 + 10463 + 14 + 24 + + + 19800.5 + 10475 + + + + + + + + Result of expression + a10c0c1c-af82-4342-a075-8185ce5afc24 + true + Result + + false + 0 + + + + + + 19973 + 10463 + 9 + 24 + + + 19979 + 10475 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e1d4d571-b98d-45a4-84a5-722727a300a1 + true + Relay + + false + a10c0c1c-af82-4342-a075-8185ce5afc24 + 1 + + + + + + 19867 + 10386 + 40 + 16 + + + 19887 + 10394 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 043653af-cbde-4517-b422-be6e5f87936f + true + Addition + Addition + + + + + + 19846 + 10323 + 82 + 44 + + + 19877 + 10345 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 7cf03f57-d314-45d9-90d1-c86be18fde5e + true + A + A + true + acd7f663-1e08-4750-9935-f932723f55c2 + 1 + + + + + + 19848 + 10325 + 14 + 20 + + + 19856.5 + 10335 + + + + + + + + Second item for addition + a1e6dfc9-cf55-48b3-84ea-b8d56f29cc20 + true + B + B + true + 705c4605-737a-4483-bb5d-30d2abe2372d + 1 + + + + + + 19848 + 10345 + 14 + 20 + + + 19856.5 + 10355 + + + + + + + + Result of addition + 68fdc599-1953-48d7-bc8c-5932473a4523 + true + Result + Result + false + 0 + + + + + + 19892 + 10325 + 34 + 40 + + + 19910.5 + 10345 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 07841301-4cf3-4a66-85b1-e5ec916a2e39 + true + Division + Division + + + + + + 19846 + 10173 + 82 + 44 + + + 19877 + 10195 + + + + + + Item to divide (dividend) + 90209013-ae0b-4b1b-ac60-9411fccdd32f + true + A + A + false + cc6f43b8-5f43-4c3a-bcd8-21d40ab07b22 + 1 + + + + + + 19848 + 10175 + 14 + 20 + + + 19856.5 + 10185 + + + + + + + + Item to divide with (divisor) + 8eb40d02-4d54-42ba-a5fb-6debbc6ab088 + true + B + B + false + 0 + + + + + + 19848 + 10195 + 14 + 20 + + + 19856.5 + 10205 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + cfa73b73-53d3-4030-9b9d-ad94a95fff13 + true + Result + Result + false + 0 + + + + + + 19892 + 10175 + 34 + 40 + + + 19910.5 + 10195 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 71bafbfa-bbd2-4731-b092-360d68dd1f89 + true + Expression + Expression + + + + + + 19790 + 10125 + 194 + 28 + + + 19890 + 10139 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4bfddfe4-4374-4950-8e2c-fc6709025beb + true + Variable O + O + true + cfa73b73-53d3-4030-9b9d-ad94a95fff13 + 1 + + + + + + 19792 + 10127 + 14 + 24 + + + 19800.5 + 10139 + + + + + + + + Result of expression + 41723857-11c9-41ca-92dc-4ff4746be3f6 + true + Result + + false + 0 + + + + + + 19973 + 10127 + 9 + 24 + + + 19979 + 10139 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 + true + Panel + + false + 0 + 41723857-11c9-41ca-92dc-4ff4746be3f6 + 1 + Double click to edit panel content… + + + + + + 19812 + 10100 + 160 + 20 + + 0 + 0 + 0 + + 19812.71 + 10100.97 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cc6f43b8-5f43-4c3a-bcd8-21d40ab07b22 + true + Panel + + false + 0 + 8bba3f69-b244-4947-9321-f43d0b8f2a3c + 1 + Double click to edit panel content… + + + + + + 19812 + 10252 + 160 + 20 + + 0 + 0 + 0 + + 19812.71 + 10252.88 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + ae074b5b-3e33-4c75-b243-1040c562808e + true + Expression + Expression + + + + + + 19790 + 10276 + 194 + 28 + + + 19890 + 10290 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7397c8cb-0a77-4a1d-bb6b-c5455604716a + true + Variable O + O + true + 68fdc599-1953-48d7-bc8c-5932473a4523 + 1 + + + + + + 19792 + 10278 + 14 + 24 + + + 19800.5 + 10290 + + + + + + + + Result of expression + 8bba3f69-b244-4947-9321-f43d0b8f2a3c + true + Result + + false + 0 + + + + + + 19973 + 10278 + 9 + 24 + + + 19979 + 10290 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 169030d8-0ef3-4395-bcc3-cbe9bf9fe74c + true + Scale + Scale + + + + + + 19810 + 10002 + 154 + 64 + + + 19894 + 10034 + + + + + + Base geometry + 8b0adac0-e9d1-4a8f-8fa2-f07ff2683050 + true + Geometry + Geometry + true + 3d3e34c6-181a-467b-8cad-0184b338d3ab + 1 + + + + + + 19812 + 10004 + 67 + 20 + + + 19855 + 10014 + + + + + + + + Center of scaling + a021bfdd-7da4-47bd-bcd6-65c83fb05f78 + true + Center + Center + false + 0 + + + + + + 19812 + 10024 + 67 + 20 + + + 19855 + 10034 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 94c66d7e-f808-4875-a368-7d8361e1a13d + 1/X + true + Factor + Factor + false + 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 + 1 + + + + + + 19812 + 10044 + 67 + 20 + + + 19855 + 10054 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 9f710a5a-3a74-4dc5-9baf-423298a69c56 + true + Geometry + Geometry + false + 0 + + + + + + 19909 + 10004 + 53 + 30 + + + 19937 + 10019 + + + + + + + + Transformation data + f2c6e0f5-5131-4f3d-811f-258ecf2e2405 + true + Transform + Transform + false + 0 + + + + + + 19909 + 10034 + 53 + 30 + + + 19937 + 10049 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d34026ca-4b70-4411-82cf-8d3ed999249a + true + Curve + Curve + false + 9f710a5a-3a74-4dc5-9baf-423298a69c56 + 1 + + + + + + 19866 + 9406 + 50 + 24 + + + 19891.69 + 9418.472 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + a7b120dd-93ab-4c05-b07c-8cca78678511 + true + Expression + Expression + + + + + + 19790 + 10783 + 194 + 28 + + + 19890 + 10797 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 31008d0d-9293-4681-86bf-350fd3330340 + true + Variable O + O + true + 2630adec-27ac-4a51-8556-7c76d3add3fd + 1 + + + + + + 19792 + 10785 + 14 + 24 + + + 19800.5 + 10797 + + + + + + + + Result of expression + 3be034f8-43ed-414b-a7b9-e70eeea623a6 + true + Result + + false + 0 + + + + + + 19973 + 10785 + 9 + 24 + + + 19979 + 10797 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b6942b45-28f1-415e-b716-c145bc9151f8 + true + Panel + + false + 0 + 3be034f8-43ed-414b-a7b9-e70eeea623a6 + 1 + Double click to edit panel content… + + + + + + 19813 + 10758 + 160 + 20 + + 0 + 0 + 0 + + 19813.58 + 10758.82 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 4756b165-e13c-4efa-a9f4-49cfee960c09 + true + Evaluate Length + Evaluate Length + + + + + + 19815 + 9792 + 144 + 64 + + + 19889 + 9824 + + + + + + Curve to evaluate + 0b3e09e1-68d2-4d94-9693-5fb495c6e390 + true + Curve + Curve + false + 9f710a5a-3a74-4dc5-9baf-423298a69c56 + 1 + + + + + + 19817 + 9794 + 57 + 20 + + + 19847 + 9804 + + + + + + + + Length factor for curve evaluation + afb1de04-420f-4a0b-b529-002058a9db53 + true + Length + Length + false + 0 + + + + + + 19817 + 9814 + 57 + 20 + + + 19847 + 9824 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 3fca856c-76cf-44d5-bb6e-206b321629b6 + true + Normalized + Normalized + false + 0 + + + + + + 19817 + 9834 + 57 + 20 + + + 19847 + 9844 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + af80d21b-1f5e-4947-a03c-640b82a69b21 + true + Point + Point + false + 0 + + + + + + 19904 + 9794 + 53 + 20 + + + 19932 + 9804 + + + + + + + + Tangent vector at the specified length + dbd983bb-b7e3-4169-8147-49e1ce657bbe + true + Tangent + Tangent + false + 0 + + + + + + 19904 + 9814 + 53 + 20 + + + 19932 + 9824 + + + + + + + + Curve parameter at the specified length + 78a3975b-e78d-4378-abd7-ff78a6dfdb56 + true + Parameter + Parameter + false + 0 + + + + + + 19904 + 9834 + 53 + 20 + + + 19932 + 9844 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 2cd8d8bc-a40f-437b-b31c-558faba36c20 + true + Expression + Expression + + + + + + 19790 + 9575 + 194 + 28 + + + 19890 + 9589 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 11b870fb-d218-4095-91f2-09e78cdb9954 + true + Variable O + O + true + 7cdda9cf-2811-4c39-a7c2-777cb23f9fe7 + 1 + + + + + + 19792 + 9577 + 14 + 24 + + + 19800.5 + 9589 + + + + + + + + Result of expression + 5337a317-0417-4e03-afbc-b7b1caad644b + true + Result + + false + 0 + + + + + + 19973 + 9577 + 9 + 24 + + + 19979 + 9589 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + ae8f0f43-e96e-487a-8de1-2180383d09ef + true + Deconstruct + Deconstruct + + + + + + 19821 + 9709 + 132 + 64 + + + 19868 + 9741 + + + + + + Input point + edb86a78-de29-4615-8f52-a210df08d8b2 + true + Point + Point + false + af80d21b-1f5e-4947-a03c-640b82a69b21 + 1 + + + + + + 19823 + 9711 + 30 + 60 + + + 19839.5 + 9741 + + + + + + + + Point {x} component + 7cdda9cf-2811-4c39-a7c2-777cb23f9fe7 + true + X component + X component + false + 0 + + + + + + 19883 + 9711 + 68 + 20 + + + 19918.5 + 9721 + + + + + + + + Point {y} component + 77ca28f7-4d10-4073-911f-30e97af05443 + true + Y component + Y component + false + 0 + + + + + + 19883 + 9731 + 68 + 20 + + + 19918.5 + 9741 + + + + + + + + Point {z} component + 907dd24c-5c4d-4b24-8432-418c3f3d5536 + true + Z component + Z component + false + 0 + + + + + + 19883 + 9751 + 68 + 20 + + + 19918.5 + 9761 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e80ad1f6-d186-46ea-b4ca-5a18de688c31 + true + Panel + + false + 0 + 5337a317-0417-4e03-afbc-b7b1caad644b + 1 + Double click to edit panel content… + + + + + + 19812 + 9546 + 160 + 20 + + 0 + 0 + 0 + + 19812.96 + 9546.394 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 7f41b441-96a4-4dd8-8529-ef17e9883be8 + true + Expression + Expression + + + + + + 19790 + 9489 + 194 + 28 + + + 19890 + 9503 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 568ff6f3-6344-4e1a-b0cd-ebf47b687d26 + true + Variable O + O + true + 77ca28f7-4d10-4073-911f-30e97af05443 + 1 + + + + + + 19792 + 9491 + 14 + 24 + + + 19800.5 + 9503 + + + + + + + + Result of expression + 867d25c4-5ac7-4997-a84d-84f960d07280 + true + Result + + false + 0 + + + + + + 19973 + 9491 + 9 + 24 + + + 19979 + 9503 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c446016e-395b-49f7-93f2-d70abc692b11 + true + Panel + + false + 0 + 867d25c4-5ac7-4997-a84d-84f960d07280 + 1 + Double click to edit panel content… + + + + + + 19812 + 9460 + 160 + 20 + + 0 + 0 + 0 + + 19812.97 + 9460.763 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 7282fb8c-f882-4173-951c-c2dc9d0cfe9b + true + Expression + Expression + + + + + + 19790 + 9661 + 194 + 28 + + + 19890 + 9675 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 03ea6371-22b8-4d0a-9aaf-e77b334ba30e + true + Variable O + O + true + 907dd24c-5c4d-4b24-8432-418c3f3d5536 + 1 + + + + + + 19792 + 9663 + 14 + 24 + + + 19800.5 + 9675 + + + + + + + + Result of expression + 76060779-0821-4cba-b13a-cb37cf674375 + true + Result + + false + 0 + + + + + + 19973 + 9663 + 9 + 24 + + + 19979 + 9675 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 12a17ae0-1bea-4760-a22a-9107fe49a5bf + true + Panel + + false + 0 + 76060779-0821-4cba-b13a-cb37cf674375 + 1 + Double click to edit panel content… + + + + + + 19812 + 9632 + 160 + 20 + + 0 + 0 + 0 + + 19812.71 + 9632.603 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2d7356db-3b2b-4dda-a323-e9139f48c65b + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 19704 + 13987 + 379 + 104 + + 0 + 0 + 0 + + 19704.37 + 13987.06 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e15b337c-36b0-48cf-8b9d-8ab3c5ba06f2 + true + Panel + + false + 0 + 17b689dc-6c83-495b-8f68-9b390a532d95 + 1 + Double click to edit panel content… + + + + + + 19724 + 11996 + 337 + 276 + + 0 + 0 + 0 + + 19724.9 + 11996.39 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e28a1f4c-0160-400f-816a-427e4b6eb69c + true + Expression + Expression + + + + + + 19790 + 12283 + 194 + 28 + + + 19890 + 12297 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3a314534-26be-4daa-ad56-b7c3a1342c6a + true + Variable O + O + true + 4d442fde-c9e8-4f99-b4ac-7861aec8dcdf + 1 + + + + + + 19792 + 12285 + 14 + 24 + + + 19800.5 + 12297 + + + + + + + + Result of expression + 17b689dc-6c83-495b-8f68-9b390a532d95 + true + Result + + false + 0 + + + + + + 19973 + 12285 + 9 + 24 + + + 19979 + 12297 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + bce92ca7-1d60-4e27-af26-79f0474f4ef5 + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 19876 + 14396 + 50 + 24 + + + 19901.67 + 14408.7 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 8bce7019-294e-4431-acae-9cf3b83d6cbf + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 19718 + 12565 + 160 + 224 + + + 19786 + 12677 + + + + + + 1 + One or multiple graph curves to graph map values with + b7a08287-7813-4e05-bf96-b6b19345bee7 + true + Curves + Curves + false + 8bb21724-b5ab-4c5d-8522-0036b0c2d655 + 1 + + + + + + 19720 + 12567 + 51 + 27 + + + 19747 + 12580.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 84e25cf9-5676-4166-836b-a086d216eac7 + true + Rectangle + Rectangle + false + 1c705af6-bcc8-4ed6-93a5-75a5492152e1 + 1 + + + + + + 19720 + 12594 + 51 + 28 + + + 19747 + 12608.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + b1a5a1ac-77d7-49f2-9a43-243c7b67c04d + true + Values + Values + false + a67158d0-bd57-4cc1-9d6c-2761dbb52beb + 1 + + + + + + 19720 + 12622 + 51 + 27 + + + 19747 + 12635.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 9dc7d6c5-a323-44d4-8794-725b585a413d + true + X Axis + X Axis + true + 0 + + + + + + 19720 + 12649 + 51 + 28 + + + 19747 + 12663.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 35d5048b-24fa-4e18-8c3b-f9892e533dd3 + true + Y Axis + Y Axis + true + 0 + + + + + + 19720 + 12677 + 51 + 27 + + + 19747 + 12690.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 80a31cc6-65c1-40b0-be68-9713793b5de4 + true + Flip + Flip + false + 0 + + + + + + 19720 + 12704 + 51 + 28 + + + 19747 + 12718.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + b6abd887-c29a-43af-849c-69ed07ac411d + true + Snap + Snap + false + 0 + + + + + + 19720 + 12732 + 51 + 27 + + + 19747 + 12745.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + ceda0ea7-4653-42fc-8d4f-3be37d9d2ce2 + true + Text Size + Text Size + false + 0 + + + + + + 19720 + 12759 + 51 + 28 + + + 19747 + 12773.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 7920c98f-597b-483b-b53d-edfc17a6e253 + true + Mapped + Mapped + false + 0 + + + + + + 19801 + 12567 + 75 + 20 + + + 19840 + 12577 + + + + + + + + 1 + The graph curves inside the boundary of the graph + e2f66310-349c-4e5f-862f-d0fb899f5a6c + true + Graph Curves + Graph Curves + false + 0 + + + + + + 19801 + 12587 + 75 + 20 + + + 19840 + 12597 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 0992d820-e43d-43f2-addf-07cf4ad26709 + true + Graph Points + Graph Points + false + 0 + + + + + + 19801 + 12607 + 75 + 20 + + + 19840 + 12617 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 1be30150-9798-428e-90a6-e4bb1c9ccde6 + true + Value Lines + Value Lines + false + 0 + + + + + + 19801 + 12627 + 75 + 20 + + + 19840 + 12637 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + a360cee3-40a4-4260-a485-e8949905719d + true + Value Points + Value Points + false + 0 + + + + + + 19801 + 12647 + 75 + 20 + + + 19840 + 12657 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 7c7e84a7-7ea2-43bb-8c87-39f735231cd7 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 19801 + 12667 + 75 + 20 + + + 19840 + 12677 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 56c0f5d3-7009-4a72-8a21-c9159f5cea1c + true + Mapped Points + Mapped Points + false + 0 + + + + + + 19801 + 12687 + 75 + 20 + + + 19840 + 12697 + + + + + + + + The graph boundary background as a surface + 9ad25265-a5cc-4408-b5ad-dc46e1b59a6e + true + Boundary + Boundary + false + 0 + + + + + + 19801 + 12707 + 75 + 20 + + + 19840 + 12717 + + + + + + + + 1 + The graph labels as curve outlines + aa38638f-6796-4bbf-bcdd-71709e47adf3 + true + Labels + Labels + false + 0 + + + + + + 19801 + 12727 + 75 + 20 + + + 19840 + 12737 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + dfac6aea-f4f7-4062-81a0-512a24a735e6 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 19801 + 12747 + 75 + 20 + + + 19840 + 12757 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 0e958900-5727-4bbf-b41f-6e50bb26cb38 + true + Intersected + Intersected + false + 0 + + + + + + 19801 + 12767 + 75 + 20 + + + 19840 + 12777 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 15acfcdb-0966-49ce-b323-67a6586ecc0b + true + End Points + End Points + + + + + + 19839 + 12990 + 96 + 44 + + + 19889 + 13012 + + + + + + Curve to evaluate + fa64da3b-3349-4c6d-a224-c6c87c463945 + true + Curve + Curve + false + 8bb21724-b5ab-4c5d-8522-0036b0c2d655 + 1 + + + + + + 19841 + 12992 + 33 + 40 + + + 19859 + 13012 + + + + + + + + Curve start point + 3d2978fc-62c6-4cb1-ab23-81bcac3d72e9 + true + Start + Start + false + 0 + + + + + + 19904 + 12992 + 29 + 20 + + + 19920 + 13002 + + + + + + + + Curve end point + 8cc68191-5c2c-41f9-bcf4-a7bb613c6b82 + true + End + End + false + 0 + + + + + + 19904 + 13012 + 29 + 20 + + + 19920 + 13022 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + ba3d57c5-1de1-431f-9ca1-0ec66e14ac98 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 19829 + 12862 + 126 + 84 + + + 19887 + 12904 + + + + + + Rectangle base plane + 96b2d8cf-83f9-4e22-9561-aa5f589a6f93 + true + Plane + Plane + false + 0 + + + + + + 19831 + 12864 + 41 + 20 + + + 19853 + 12874 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 05c67ed8-c822-4ea6-ac23-05adc26d9a7a + true + Point A + Point A + false + 3d2978fc-62c6-4cb1-ab23-81bcac3d72e9 + 1 + + + + + + 19831 + 12884 + 41 + 20 + + + 19853 + 12894 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 9533f4ce-b8de-4e01-98c8-b441414bf3ef + true + Point B + Point B + false + 8cc68191-5c2c-41f9-bcf4-a7bb613c6b82 + 1 + + + + + + 19831 + 12904 + 41 + 20 + + + 19853 + 12914 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 653f9f30-14d7-41a1-b39b-ab695d480b29 + true + Radius + Radius + false + 0 + + + + + + 19831 + 12924 + 41 + 20 + + + 19853 + 12934 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 1c705af6-bcc8-4ed6-93a5-75a5492152e1 + true + Rectangle + Rectangle + false + 0 + + + + + + 19902 + 12864 + 51 + 40 + + + 19929 + 12884 + + + + + + + + Length of rectangle curve + ab014019-a051-46b4-b49e-1c2df62f3397 + true + Length + Length + false + 0 + + + + + + 19902 + 12904 + 51 + 40 + + + 19929 + 12924 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + a20beb6d-88ec-44e4-900b-86e895f1d955 + true + GraphMapper+ + GraphMapper+ + + + + + false + + + + + + 19878 + 12685 + 126 + 104 + + + 19945 + 12737 + + + + + + External curve as a graph + c6e83ccd-f124-4631-b292-e3858aa3d02f + true + Curve + Curve + false + 8bb21724-b5ab-4c5d-8522-0036b0c2d655 + 1 + + + + + + 19880 + 12687 + 50 + 20 + + + 19906.5 + 12697 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + e73bd5e2-2790-45a7-9e95-e37f8072c062 + true + Boundary + Boundary + true + 1c705af6-bcc8-4ed6-93a5-75a5492152e1 + 1 + + + + + + 19880 + 12707 + 50 + 20 + + + 19906.5 + 12717 + + + + + + + + 1 + List of input numbers + a9d25aa0-24f9-478e-8bd8-3652a4b9f1d2 + true + Numbers + Numbers + false + a67158d0-bd57-4cc1-9d6c-2761dbb52beb + 1 + + + + + + 19880 + 12727 + 50 + 20 + + + 19906.5 + 12737 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 360d81d5-088a-4aaf-b4ed-2ccefd9b6778 + true + Input + Input + true + e651efcf-8925-44d5-8b61-3d494105bf2a + 1 + + + + + + 19880 + 12747 + 50 + 20 + + + 19906.5 + 12757 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 20a7efc6-c912-4adf-931d-52677237e590 + true + Output + Output + true + e651efcf-8925-44d5-8b61-3d494105bf2a + 1 + + + + + + 19880 + 12767 + 50 + 20 + + + 19906.5 + 12777 + + + + + + + + 1 + Output Numbers + 13abfc56-e59b-4434-bfcd-a516552839fd + true + Number + Number + false + 0 + + + + + + 19960 + 12687 + 42 + 100 + + + 19982.5 + 12737 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + ef6b993d-c95e-4377-b3fd-234b7474bff7 + true + Stream Filter + Stream Filter + + + + + + 19853 + 12482 + 89 + 64 + + + 19898 + 12514 + + + + + + 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 + cdff3e8e-8916-4277-abbf-35ceba4acafd + true + Gate + Gate + false + 57c04315-8443-4211-b8a3-ffe22027dbed + 1 + + + + + + 19855 + 12484 + 28 + 20 + + + 19870.5 + 12494 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 036370a1-cb24-4d22-af3a-e984cad4c83a + true + false + Stream 0 + 0 + true + 7920c98f-597b-483b-b53d-edfc17a6e253 + 1 + + + + + + 19855 + 12504 + 28 + 20 + + + 19870.5 + 12514 + + + + + + + + 2 + Input stream at index 1 + 9e0eccb7-cce6-41a2-ad5f-a12d6d5a37a8 + true + false + Stream 1 + 1 + true + 13abfc56-e59b-4434-bfcd-a516552839fd + 1 + + + + + + 19855 + 12524 + 28 + 20 + + + 19870.5 + 12534 + + + + + + + + 2 + Filtered stream + 23210470-a829-432f-9104-72180222a72d + true + false + Stream + S(1) + false + 0 + + + + + + 19913 + 12484 + 27 + 60 + + + 19928 + 12514 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 13009076-acb9-4d71-becc-81d2f2ce38a6 + true + Number Slider + + false + 0 + + + + + + 19829 + 12400 + 150 + 20 + + + 19829.33 + 12400.99 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ad3f6d83-6e8c-431f-a4e3-21baf669d1cd + true + Panel + + false + 1 + c3a66e4f-0d28-4db9-9fa7-91dd4ec50f2c + 1 + Double click to edit panel content… + + + + + + 19803 + 13183 + 185 + 271 + + 0 + 0 + 0 + + 19803.4 + 13183.26 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 909a2370-4806-4bd1-9748-07f578e0d30d + true + Bounds + Bounds + + + + + + 19828 + 13129 + 122 + 28 + + + 19892 + 13143 + + + + + + 1 + Numbers to include in Bounds + 2a9bc31e-ee89-4e39-9f1a-1374f89c8e68 + true + Numbers + Numbers + false + a67158d0-bd57-4cc1-9d6c-2761dbb52beb + 1 + + + + + + 19830 + 13131 + 47 + 24 + + + 19855 + 13143 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + e651efcf-8925-44d5-8b61-3d494105bf2a + true + Domain + Domain + false + 0 + + + + + + 19907 + 13131 + 41 + 24 + + + 19929 + 13143 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b8fb7f0e-c7dc-4787-b511-ebfbf7a4c32a + true + Expression + Expression + + + + + + 19790 + 13543 + 194 + 28 + + + 19890 + 13557 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8ec6fe13-9c92-4aeb-a98b-8b6360f2d0b9 + true + Variable O + O + true + a67158d0-bd57-4cc1-9d6c-2761dbb52beb + 1 + + + + + + 19792 + 13545 + 14 + 24 + + + 19800.5 + 13557 + + + + + + + + Result of expression + c3a66e4f-0d28-4db9-9fa7-91dd4ec50f2c + true + Result + + false + 0 + + + + + + 19973 + 13545 + 9 + 24 + + + 19979 + 13557 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 805743f8-f4b5-4be8-b97c-3562acfda600 + true + Expression + Expression + + + + + + 19704 + 13775 + 367 + 28 + + + 19890 + 13789 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e22862dd-0996-4650-a7a0-53ae92c767b5 + true + Variable O + O + true + 7f960f63-5001-4e99-bded-b99fdd564f68 + 1 + + + + + + 19706 + 13777 + 14 + 24 + + + 19714.5 + 13789 + + + + + + + + Result of expression + f20dbaaa-dfa1-4745-a19a-793227df0baf + true + Result + + false + 0 + + + + + + 20060 + 13777 + 9 + 24 + + + 20066 + 13789 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ac135457-d344-4adb-8f93-f9cd86c093ea + true + Panel + + false + 0 + f20dbaaa-dfa1-4745-a19a-793227df0baf + 1 + Double click to edit panel content… + + + + + + 19803 + 13720 + 179 + 20 + + 0 + 0 + 0 + + 19803.54 + 13720.13 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d34026ca-4b70-4411-82cf-8d3ed999249a + 1 + 8b42ee2f-db97-4077-aad7-aa4be617f8d2 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + b6d93c84-f99c-40cf-aa70-8172f4e56afe + true + Scale + Scale + + + + + + 19810 + 9917 + 154 + 64 + + + 19894 + 9949 + + + + + + Base geometry + 476358a0-4e67-428f-b666-abaecdc9f1b4 + true + Geometry + Geometry + true + 8e51e896-77f9-4f8e-9163-e0c326cb830d + 1 + + + + + + 19812 + 9919 + 67 + 20 + + + 19855 + 9929 + + + + + + + + Center of scaling + bb2464d6-de45-4325-9006-a1d33f4b1a9d + true + Center + Center + false + 0 + + + + + + 19812 + 9939 + 67 + 20 + + + 19855 + 9949 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 7c654ea2-8860-4639-9bc3-ef41eca29490 + 1/X + true + Factor + Factor + false + 1b6c1ac1-b906-47e5-b05f-0d9dffd28de2 + 1 + + + + + + 19812 + 9959 + 67 + 20 + + + 19855 + 9969 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 73aea5a2-f7ba-4417-825f-d5c4faa98321 + true + Geometry + Geometry + false + 0 + + + + + + 19909 + 9919 + 53 + 30 + + + 19937 + 9934 + + + + + + + + Transformation data + 2a4f9156-02b4-4d58-a11d-7562c70b805c + true + Transform + Transform + false + 0 + + + + + + 19909 + 9949 + 53 + 30 + + + 19937 + 9964 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 0cae36b2-f309-4924-933e-5864c8f0ef06 + true + Point + Point + false + 73aea5a2-f7ba-4417-825f-d5c4faa98321 + 1 + + + + + + 19867 + 9884 + 50 + 24 + + + 19892.69 + 9896.644 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 25d5288d-d4fd-4bd2-b9ae-3af995eb6d32 + true + Mirror + Mirror + + + + + + 19815 + 9117 + 138 + 44 + + + 19883 + 9139 + + + + + + Base geometry + a2a02010-5b5e-4c3e-b7bb-c9a15edfffab + true + Geometry + Geometry + true + d34026ca-4b70-4411-82cf-8d3ed999249a + 1 + + + + + + 19817 + 9119 + 51 + 20 + + + 19844 + 9129 + + + + + + + + Mirror plane + 3b1595b4-b7db-41ad-ae73-0c9b1578fa21 + true + Plane + Plane + false + 0 + + + + + + 19817 + 9139 + 51 + 20 + + + 19844 + 9149 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 184f8eaf-b09a-4512-883f-29c2ae607212 + true + Geometry + Geometry + false + 0 + + + + + + 19898 + 9119 + 53 + 20 + + + 19926 + 9129 + + + + + + + + Transformation data + fb3a03ed-8f67-4796-88a0-d34f8f67f516 + true + Transform + Transform + false + 0 + + + + + + 19898 + 9139 + 53 + 20 + + + 19926 + 9149 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d8bb3905-0d1b-4e9c-b51b-34c6c1b8f824 + true + Curve + Curve + false + 35901fda-4e60-460e-81fd-58f4d375b889 + 1 + + + + + + 19866 + 9015 + 50 + 24 + + + 19891.94 + 9027.651 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8bb21724-b5ab-4c5d-8522-0036b0c2d655 + true + Relay + + false + 12c3ff7f-c7a5-4977-87fd-4c6ce7172c00 + 1 + + + + + + 19867 + 13061 + 40 + 16 + + + 19887 + 13069 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e8e405e1-9fd7-4b2f-8492-42e4914a5add + true + Curve + Curve + false + 791bd61f-9221-4811-b56f-f55006c9145e + 1 + + + + + + 19313 + 13412 + 50 + 24 + + + 19338.95 + 13424.66 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 12c3ff7f-c7a5-4977-87fd-4c6ce7172c00 + true + Curve + Curve + false + 0805e3ea-ca81-476f-8f09-75ffea26f153 + 1 + + + + + + 19314 + 13130 + 50 + 24 + + + 19339.05 + 13142.99 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 6eb39311-76bc-4b52-b379-59dce48dc975 + true + Scale + Scale + + + + + + 19257 + 13165 + 154 + 64 + + + 19341 + 13197 + + + + + + Base geometry + 375cd25b-32ec-450e-a646-f6eb2204862e + true + Geometry + Geometry + true + e8e405e1-9fd7-4b2f-8492-42e4914a5add + 1 + + + + + + 19259 + 13167 + 67 + 20 + + + 19302 + 13177 + + + + + + + + Center of scaling + 98a041a7-1e39-4f11-81fd-e8e598e2a0e4 + true + Center + Center + false + 0 + + + + + + 19259 + 13187 + 67 + 20 + + + 19302 + 13197 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 0ed445b8-2db3-43b5-8d9b-694a2750f7bb + 2^X + true + Factor + Factor + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 19259 + 13207 + 67 + 20 + + + 19302 + 13217 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 0805e3ea-ca81-476f-8f09-75ffea26f153 + true + Geometry + Geometry + false + 0 + + + + + + 19356 + 13167 + 53 + 30 + + + 19384 + 13182 + + + + + + + + Transformation data + a7cb9079-9f92-409e-90e5-115f25528339 + true + Transform + Transform + false + 0 + + + + + + 19356 + 13197 + 53 + 30 + + + 19384 + 13212 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e8e405e1-9fd7-4b2f-8492-42e4914a5add + 12c3ff7f-c7a5-4977-87fd-4c6ce7172c00 + 6eb39311-76bc-4b52-b379-59dce48dc975 + 27899f96-8899-44d3-a06c-50d23c4c5623 + 13a250a1-c6e1-4763-b3f9-f7ea33215370 + 9bd939f5-067b-4f26-9c7e-60f0adb96003 + b922c8e6-1417-4a8c-b2b0-2708e9c7705e + 2f3d75ed-fdc1-4bb4-8695-51c60c7bbe54 + 2838bbe3-f818-4f76-ae8b-6a38a11cfbd8 + 9 + 4a06d9c0-671b-49ff-ba68-a5f5191b1b9e + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + a0f9dc65-f5a3-4883-aeed-a4ec58d91bb1 + true + Move + Move + + + + + + 19815 + 9053 + 138 + 44 + + + 19883 + 9075 + + + + + + Base geometry + 4ca0a048-328b-4807-936c-3f6aeacd3454 + true + Geometry + Geometry + true + d34026ca-4b70-4411-82cf-8d3ed999249a + 1 + + + + + + 19817 + 9055 + 51 + 20 + + + 19844 + 9065 + + + + + + + + Translation vector + ae7956ac-24cd-4cea-95ce-cf0cfba344b0 + true + Motion + Motion + false + e24f66c2-f6ca-429a-95a4-deeccf7adc0a + 1 + + + + + + 19817 + 9075 + 51 + 20 + + + 19844 + 9085 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 3 + 0 + + + + + + + + + + + + Translated geometry + 35901fda-4e60-460e-81fd-58f4d375b889 + true + Geometry + Geometry + false + 0 + + + + + + 19898 + 9055 + 53 + 20 + + + 19926 + 9065 + + + + + + + + Transformation data + fc1c27c4-9b3d-44ee-b46a-bc851e08693e + true + Transform + Transform + false + 0 + + + + + + 19898 + 9075 + 53 + 20 + + + 19926 + 9085 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 13a250a1-c6e1-4763-b3f9-f7ea33215370 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 30.9312132004 + + + + + + 19214 + 13356 + 250 + 20 + + + 19214.35 + 13356.08 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9bd939f5-067b-4f26-9c7e-60f0adb96003 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 19271 + 13255 + 144 + 20 + + 0 + 0 + 0 + + 19271.51 + 13255.7 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + b922c8e6-1417-4a8c-b2b0-2708e9c7705e + true + Curve + Curve + false + 0 + + + + + + 19314 + 13087 + 50 + 24 + + + 19339.05 + 13099.99 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 2f3d75ed-fdc1-4bb4-8695-51c60c7bbe54 + true + Curve + Curve + false + 0 + + + + + + 19316 + 13544 + 50 + 24 + + + 19341 + 13556.83 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fa30b30f-6f7c-4ed6-acde-9dbbcaf70ed6 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 19673 + 13967 + 439 + 20 + + 0 + 0 + 0 + + 19673.92 + 13967.59 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2d143ea8-addf-4975-91d4-146b73c06ec6 + true + Panel + + false + 0 + 99f0c403-5c3c-4e81-b678-a8b4ee8435d6 + 1 + 0.00032220000 +0.00000220000 + + + + + + 19674 + 14091 + 439 + 22 + + 0 + 0 + 0 + + 19674.23 + 14091.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + a460b115-0803-4eaa-b18c-957c088fe725 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 19766 + 14232 + 251 + 20 + + + 19766.83 + 14232.95 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f310dda7-219b-4afc-b63d-f450feb7284e + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 19674 + 14213 + 439 + 20 + + 0 + 0 + 0 + + 19674.67 + 14213.11 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + 1/X + true + 32499351-f670-4091-8e63-39ea27a7ab45 + true + Expression + + + + + + + 19855 + 14339 + 79 + 28 + + + 19897 + 14353 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + bcea45f1-482c-42ce-937e-213db9a291f6 + true + Variable X + X + true + bce92ca7-1d60-4e27-af26-79f0474f4ef5 + 1 + + + + + + 19857 + 14341 + 14 + 24 + + + 19865.5 + 14353 + + + + + + + + Result of expression + 6e66f57e-38ab-4ebe-ba95-af421b37b6af + true + Result + + false + 0 + + + + + + 19923 + 14341 + 9 + 24 + + + 19929 + 14353 + + + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + dedfe789-29c6-4593-af82-02f033f7153d + true + Point + Point + false + 0ad98407-14cf-4326-a90c-2a3a2ff3f69e + 1 + + + + + + 19889 + 11866 + 50 + 24 + + + 19914.65 + 11878.67 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0ad98407-14cf-4326-a90c-2a3a2ff3f69e + true + Relay + + false + 4d442fde-c9e8-4f99-b4ac-7861aec8dcdf + 1 + + + + + + 19891 + 11913 + 40 + 16 + + + 19911 + 11921 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8e51e896-77f9-4f8e-9163-e0c326cb830d + true + Relay + + false + 2af09f0e-89b8-4f0b-b64e-5be5ab23f10f + 1 + + + + + + 19891 + 11690 + 40 + 16 + + + 19911 + 11698 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + b6c87281-0865-4ce1-ab93-3245995234b2 + true + Scale + Scale + + + + + + 19834 + 11726 + 154 + 64 + + + 19918 + 11758 + + + + + + Base geometry + aa7f6cef-e39c-4542-aa03-435a33b749cc + true + Geometry + Geometry + true + dedfe789-29c6-4593-af82-02f033f7153d + 1 + + + + + + 19836 + 11728 + 67 + 20 + + + 19879 + 11738 + + + + + + + + Center of scaling + deb77880-cb33-468b-af28-623b4a78f45c + true + Center + Center + false + 0 + + + + + + 19836 + 11748 + 67 + 20 + + + 19879 + 11758 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 596dea0b-9622-4ce3-ba03-01e99468fd2b + 2^X + true + Factor + Factor + false + 9a0f8949-a570-4642-ba43-d12a64260252 + 1 + + + + + + 19836 + 11768 + 67 + 20 + + + 19879 + 11778 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 2af09f0e-89b8-4f0b-b64e-5be5ab23f10f + true + Geometry + Geometry + false + 0 + + + + + + 19933 + 11728 + 53 + 30 + + + 19961 + 11743 + + + + + + + + Transformation data + 3da0f8bb-62b8-46de-b928-0c0d34443907 + true + Transform + Transform + false + 0 + + + + + + 19933 + 11758 + 53 + 30 + + + 19961 + 11773 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 9a0f8949-a570-4642-ba43-d12a64260252 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 19794 + 11811 + 250 + 20 + + + 19794.43 + 11811.03 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + dedfe789-29c6-4593-af82-02f033f7153d + 1 + 57321ef9-d766-4c26-936f-87297eda8e4c + Group + Point + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 37c75f14-1e75-4f2c-b59c-513984ea2ab4 + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 64.0 + + + + + + 2772 + 13067 + 250 + 20 + + + 2772.84 + 13067.05 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4b7e6a70-4ebf-47c4-b022-f9b83dae546f + Panel + + false + 0 + 0 + 0.00000331207 + + + + + + 2771 + 12764 + 270 + 20 + + 0 + 0 + 0 + + 2771.129 + 12764.1 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8381622f-1691-48ed-8659-5a932a2a725a + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 2880 + 12727 + 40 + 16 + + + 2900 + 12735 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 5b5706ff-d5d7-458b-879b-2db4552c3e70 + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 3896 + 13288 + 40 + 16 + + + 3916 + 13296 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bd44744c-be8e-4cf5-ae1e-a647bfc0304f + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 3844 + 13254 + 144 + 20 + + 0 + 0 + 0 + + 3844.099 + 13254 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 99f0c403-5c3c-4e81-b678-a8b4ee8435d6 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.02196259374 + + + + + + 19766 + 14133 + 251 + 20 + + + 19766.33 + 14133.26 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + fcdd5570-5702-4ca3-99cd-fd19c9172eef + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 4219 + 14109 + 251 + 20 + + + 4219.673 + 14109.89 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 144e85a6-d3ce-47fe-8a1a-7d156a859767 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 19214 + 13317 + 250 + 20 + + + 19214.35 + 13317.08 + + + + + + + + + + c9785b8e-2f30-4f90-8ee3-cca710f82402 + Entwine + + + + + Flatten and combine a collection of data streams + false + true + dc0e426b-b9a7-4d94-92f0-d62f8002d975 + Entwine + Entwine + + + + + + 9203 + 17229 + 97 + 124 + + + 9249 + 17291 + + + + + + 6 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 2 + Data to entwine + 7c9f5ce2-858c-4de3-924a-a1011dec8c92 + false + Branch {0;x} + {0;x} + true + d8bb3905-0d1b-4e9c-b51b-34c6c1b8f824 + 1 + + + + + + 9205 + 17231 + 29 + 20 + + + 9221 + 17241 + + + + + + + + 2 + Data to entwine + c05af972-e99a-45cb-a9e1-a98f916c8813 + false + Branch {1;x} + {1;x} + true + 96935792-1ec1-4cd9-8dd4-9a092de6ad61 + 1 + + + + + + 9205 + 17251 + 29 + 20 + + + 9221 + 17261 + + + + + + + + 2 + Data to entwine + 1ec87050-1de2-43af-9c03-6f183c5cea90 + false + Branch {2;x} + {2;x} + true + 8ad9374d-afcb-4796-84e7-8728425be2be + 1 + + + + + + 9205 + 17271 + 29 + 20 + + + 9221 + 17281 + + + + + + + + 2 + Data to entwine + c2297492-abbe-4d4e-9bb9-93a085f2e432 + false + Branch {3;x} + {3;x} + true + 992f34c0-9384-4928-b69f-b6f1ae913f03 + 1 + + + + + + 9205 + 17291 + 29 + 20 + + + 9221 + 17301 + + + + + + + + 2 + Data to entwine + 7f8bed9c-d634-4c4e-84f0-1c68d667b7e0 + false + Branch {4;x} + {4;x} + true + c82a47b4-09f2-4505-bf49-68485889f195 + 1 + + + + + + 9205 + 17311 + 29 + 20 + + + 9221 + 17321 + + + + + + + + 2 + Data to entwine + c3da6f2f-ce07-46b3-96ac-e7b975d6ca47 + false + Branch {5;x} + {5;x} + true + 9fc3eda7-d22b-4858-9e35-874868e02c53 + 1 + + + + + + 9205 + 17331 + 29 + 20 + + + 9221 + 17341 + + + + + + + + Entwined result + 2b7f9a30-5371-4790-99c4-557f50f3e7cc + Result + Result + false + 0 + + + + + + 9264 + 17231 + 34 + 120 + + + 9282.5 + 17291 + + + + + + + + + + + + + + c9785b8e-2f30-4f90-8ee3-cca710f82402 + Entwine + + + + + Flatten and combine a collection of data streams + false + true + dad23333-58bc-47be-89cf-b9b7b412e5d1 + Entwine + Entwine + + + + + + 3778 + 7694 + 97 + 64 + + + 3824 + 7726 + + + + + + 3 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 2 + Data to entwine + 2101fbe4-84ca-4472-a576-20046da30653 + false + Branch {0;x} + {0;x} + true + 2b7f9a30-5371-4790-99c4-557f50f3e7cc + 1 + + + + + + 3780 + 7696 + 29 + 20 + + + 3796 + 7706 + + + + + + + + 2 + Data to entwine + f577a057-bff2-43e0-b17c-b257ad5f8cee + false + Branch {1;x} + {1;x} + true + 6e1fc948-14e7-4b41-97c3-1b4c30c3d4c5 + 1 + + + + + + 3780 + 7716 + 29 + 20 + + + 3796 + 7726 + + + + + + + + 2 + Data to entwine + d7764439-037f-4f25-b8e5-938724ea539a + false + Branch {2;x} + {2;x} + true + ce4203c6-5e7a-4fc1-bfda-d021414b51f1 + 1 + + + + + + 3780 + 7736 + 29 + 20 + + + 3796 + 7746 + + + + + + + + Entwined result + 105dd2da-6e8a-4d38-bd7f-08d0903e13f6 + Result + Result + false + 0 + + + + + + 3839 + 7696 + 34 + 60 + + + 3857.5 + 7726 + + + + + + + + + + + + + + c9785b8e-2f30-4f90-8ee3-cca710f82402 + Entwine + + + + + Flatten and combine a collection of data streams + false + true + ed33de67-8ff0-4087-b365-b29d723d2319 + Entwine + Entwine + + + + + + 15051 + 8520 + 97 + 184 + + + 15097 + 8612 + + + + + + 9 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 2 + Data to entwine + 99b18844-0779-43db-a3bf-d98e2c6b20b9 + false + Branch {0;x} + {0;x} + true + c86da1e9-be3c-4594-b203-2c288256aeb0 + 1 + + + + + + 15053 + 8522 + 29 + 20 + + + 15069 + 8532 + + + + + + + + 2 + Data to entwine + 80be7797-b883-4cd3-8f34-8500eb61a8f9 + false + Branch {1;x} + {1;x} + true + 48833b67-abab-4685-b729-16d511f4b9ac + 1 + + + + + + 15053 + 8542 + 29 + 20 + + + 15069 + 8552 + + + + + + + + 2 + Data to entwine + b719ae17-9f55-4120-8e96-bf70cce20dbd + false + Branch {2;x} + {2;x} + true + 99805ebf-f622-48cc-a2b0-15df4edd0fe8 + 1 + + + + + + 15053 + 8562 + 29 + 20 + + + 15069 + 8572 + + + + + + + + 2 + Data to entwine + 8e61caf1-635b-4509-aded-62ab1ae78e68 + false + Branch {3;x} + {3;x} + true + e9fafb6a-dcd6-496c-a636-30117cb488ef + 1 + + + + + + 15053 + 8582 + 29 + 20 + + + 15069 + 8592 + + + + + + + + 2 + Data to entwine + 5ff17efd-a253-43aa-8698-49a3ecb84204 + false + Branch {4;x} + {4;x} + true + d3694f49-88f8-4c69-a50e-2af49ddb9407 + 1 + + + + + + 15053 + 8602 + 29 + 20 + + + 15069 + 8612 + + + + + + + + 2 + Data to entwine + 5d5e12ff-28e1-4b66-893e-ccadfb6c38f5 + false + Branch {5;x} + {5;x} + true + 4072dd5f-488b-48b1-bb99-6a919c99b6ec + 1 + + + + + + 15053 + 8622 + 29 + 20 + + + 15069 + 8632 + + + + + + + + 2 + Data to entwine + 7566f03a-26ab-4488-a682-5f05ba24b1b8 + false + Branch {6;x} + {6;x} + true + 03630ecd-8960-4a8e-b53c-5a4eb650a12c + 1 + + + + + + 15053 + 8642 + 29 + 20 + + + 15069 + 8652 + + + + + + + + 2 + Data to entwine + 916249f1-1a94-4cd0-b3ee-d9cae630af32 + false + Branch {7;x} + {7;x} + true + 8c30f270-d17e-4542-bcbc-8ff2320f35a6 + 1 + + + + + + 15053 + 8662 + 29 + 20 + + + 15069 + 8672 + + + + + + + + 2 + Data to entwine + 21d87065-8a2c-454f-8614-fae127c58cc5 + false + Branch {8;x} + {8;x} + true + 0 + + + + + + 15053 + 8682 + 29 + 20 + + + 15069 + 8692 + + + + + + + + Entwined result + 8d85ed79-6ed8-4d27-9c33-f89d457338af + Result + Result + false + 0 + + + + + + 15112 + 8522 + 34 + 180 + + + 15130.5 + 8612 + + + + + + + + + + + + + + c9785b8e-2f30-4f90-8ee3-cca710f82402 + Entwine + + + + + Flatten and combine a collection of data streams + false + true + 224d22e6-a7e2-418c-ba07-3eb7e0fb409d + Entwine + Entwine + + + + + + 14761 + 8520 + 97 + 184 + + + 14807 + 8612 + + + + + + 9 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 2 + Data to entwine + 8e932e24-2d87-48ee-adc3-5eecd7d7ef78 + false + Branch {0;x} + {0;x} + true + 8fae6707-35c9-49ef-96bf-d5708e512f8c + 1 + + + + + + 14763 + 8522 + 29 + 20 + + + 14779 + 8532 + + + + + + + + 2 + Data to entwine + b62581e1-76b8-4db0-b7dd-b0d6e4732fb0 + false + Branch {1;x} + {1;x} + true + fe2bd48c-8bc7-431d-a3d5-89319eee1ab4 + 1 + + + + + + 14763 + 8542 + 29 + 20 + + + 14779 + 8552 + + + + + + + + 2 + Data to entwine + 363ba1ea-ba2a-4254-90cb-2385ee49e332 + false + Branch {2;x} + {2;x} + true + 60ea54e2-64fe-495f-8b22-913d5a6247ca + 1 + + + + + + 14763 + 8562 + 29 + 20 + + + 14779 + 8572 + + + + + + + + 2 + Data to entwine + 5fe926f2-364f-4181-a304-9ed7cdfe65ce + false + Branch {3;x} + {3;x} + true + 289362ef-c456-475f-a4a5-7610e305e8d9 + 1 + + + + + + 14763 + 8582 + 29 + 20 + + + 14779 + 8592 + + + + + + + + 2 + Data to entwine + dbd3d019-9664-4155-89aa-80b6c30966e8 + false + Branch {4;x} + {4;x} + true + ac94063c-4ea8-4bd7-a1d9-331c5dae31b4 + 1 + + + + + + 14763 + 8602 + 29 + 20 + + + 14779 + 8612 + + + + + + + + 2 + Data to entwine + aece1331-aba8-486b-a8fb-4b00e03518b0 + false + Branch {5;x} + {5;x} + true + 1cc4ce65-802a-413c-851c-f786e9032630 + 1 + + + + + + 14763 + 8622 + 29 + 20 + + + 14779 + 8632 + + + + + + + + 2 + Data to entwine + 96540a03-2e8e-4ca9-a4b0-961b4c27bfb7 + false + Branch {6;x} + {6;x} + true + 747334ba-25b6-4ffe-903e-79ffdb0809f9 + 1 + + + + + + 14763 + 8642 + 29 + 20 + + + 14779 + 8652 + + + + + + + + 2 + Data to entwine + 18a4644a-a025-4e1a-aad3-601157b20bc9 + false + Branch {7;x} + {7;x} + true + e464e48a-068a-4ad2-882b-5575331b82f3 + 1 + + + + + + 14763 + 8662 + 29 + 20 + + + 14779 + 8672 + + + + + + + + 2 + Data to entwine + 12e00c45-3387-445e-81e6-a006f684f392 + false + Branch {8;x} + {8;x} + true + 0 + + + + + + 14763 + 8682 + 29 + 20 + + + 14779 + 8692 + + + + + + + + Entwined result + a1e2b471-745e-4023-9189-ac09ee8be598 + Result + Result + false + 0 + + + + + + 14822 + 8522 + 34 + 180 + + + 14840.5 + 8612 + + + + + + + + + + + + + + c9785b8e-2f30-4f90-8ee3-cca710f82402 + Entwine + + + + + Flatten and combine a collection of data streams + false + true + a77683b6-1e49-482d-accc-1da4fe9291b0 + Entwine + Entwine + + + + + + 14954 + 8160 + 97 + 44 + + + 15000 + 8182 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 2 + Data to entwine + 5bd840a0-52f9-4322-967d-b8f78a1e69f7 + false + Branch {0;x} + {0;x} + true + 8d85ed79-6ed8-4d27-9c33-f89d457338af + 1 + + + + + + 14956 + 8162 + 29 + 20 + + + 14972 + 8172 + + + + + + + + 2 + Data to entwine + fb5f90e4-5f10-4f97-9726-59f9c35920a9 + false + Branch {1;x} + {1;x} + true + a1e2b471-745e-4023-9189-ac09ee8be598 + 1 + + + + + + 14956 + 8182 + 29 + 20 + + + 14972 + 8192 + + + + + + + + Entwined result + 6e1fc948-14e7-4b41-97c3-1b4c30c3d4c5 + Result + Result + false + 0 + + + + + + 15015 + 8162 + 34 + 40 + + + 15033.5 + 8182 + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 25aa5733-be81-4880-a0cb-342eaf97bb70 + 5f265745-6ca0-49fb-a2cc-9640c03fedfc + e654b44d-372f-4d5e-aa76-bc0c6662276d + 15cea472-84f0-43d6-adb5-ebab1513851b + 786183f9-8f91-45b1-ba10-5f602200fca4 + a76219c7-98a0-4832-8b36-314f51be2052 + 6 + c6fd1e77-5126-4b02-a5bb-b84846c26edc + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 66c324df-3c77-43b3-a107-dda00b26db20 + 6c10f1a4-05bb-4773-87fd-4e5a435f5b7f + 8becd913-3971-42d1-ad8b-6ff1a0182eac + 216ccffb-2e41-411c-a7ae-fe6f549e8f2f + 743fcb17-9a41-404d-ae2b-299a565da566 + 7770f331-b70c-42fb-9f5e-bb896d839f64 + 80adc276-a1ec-48d2-9dff-3d27dacc1fe5 + 0b823ac0-d08a-4b35-8190-2a7814c67d1b + 4aecade4-b590-42ca-8247-560501df1ee2 + 64ea358c-3477-4f98-bb7c-5e4e1efd82bf + 06840b0d-0c52-49a7-8586-671841fce316 + ba4a1feb-b523-490c-8a3f-4c305c8294b9 + 1dd505f9-1f62-462f-bfc9-d4144bc263ff + 7db4ea63-8dfc-43c1-bece-50feb8751fb7 + c224342c-801f-4459-9224-44879ddf539f + 394770c8-a55d-44a1-bdfc-7537a0bc9078 + 04ca1c72-0081-4151-ba68-441f33f8841a + 1d0ff230-f658-4eea-95c1-9da330d41b9b + b8fe0504-db69-4858-80dd-86315b6b76b4 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 91eae3cb-dae0-470b-94cd-f3e2648c462c + 5ac57098-caea-4564-a89f-ef7c20ef9db8 + ba363370-f128-492d-830e-feb1a19aa304 + ab754ebe-3054-4d4c-a815-c27c8f61646b + eaf90b89-c250-4879-864d-f0c63882a936 + b0a75fb1-6343-41f7-bc90-a0d060f70c69 + d1c4e0e8-ccaf-4b85-b9f6-95fce9375b3d + 1b4817d5-9d8a-4718-bd91-db6d602e09e0 + 43a88045-2414-49bd-a639-25a54fbc3406 + 9dcbefb3-0134-46c7-8863-745f439bb96f + dd1a655d-bc03-44ab-a804-e71acd0a147b + cea169d3-2136-4eb6-9143-f0bebe47c986 + a5b2ba25-ba64-438e-9c05-fc5c8987ddf0 + 4cc94c30-fc6b-4bd2-a5e4-e5c9c951d2f7 + a6b9e29a-03b9-47b8-82a5-1d0124f6e72e + 38f7b830-0b74-4d07-a880-de3308df725b + 67412c77-dace-4fae-82af-cee39c99c806 + 477cb8b4-b9fe-4077-afab-c5588b570340 + 57dc0514-58a2-4f8b-905d-b0580f8a2a6a + 5f998c1f-bda3-402c-8f46-2f3f0d774770 + 5181c4d3-fad3-4b64-a469-2225cbebbf0f + fbeef7d7-c4e7-4e64-b15f-550ed822ceaa + bbf474f2-ec45-461b-bfeb-6dcd3af5bbe2 + 2ee04134-7a7d-45ac-8bdc-7f096216c746 + 5717f3e7-ea4d-49b6-9633-1dad7656910f + 2635d566-5971-4fd9-8fb1-8c6434054c57 + 880dd377-9f15-4147-8cbd-1aef7e6c14cb + d2bb97e6-5e05-41ee-8886-54d3eb49ff8c + 3f6cc10b-e201-4db6-b980-be1efed2e10c + dbcbb931-46fc-45e7-a319-ae473feb5fb6 + 595a16aa-a623-4afb-9fa9-0c2a6554fab3 + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 0a05fac0-c8d8-43a2-a7e4-98ca2a43fd3e + 4d04e408-b736-49af-ba17-6ef9f5caf118 + 746e201b-3cd6-4d10-b224-d960a31ec2a8 + 222f140c-0c81-4713-9a94-baade26783d5 + a9a50160-2135-485b-ac32-52b8c1b384ee + 62256d2e-c48e-4b7a-a805-dc7290e82c4d + 3e0381b1-812d-42f5-a1a6-397345b410dd + ebb748fc-509d-4020-9ad1-9e68a19ea81a + 7944bb81-2034-4762-8159-672c0a0301da + dbac1d13-b64b-46a7-86d5-a6454cd89990 + 29d4cf3b-7477-4cab-a366-51f758a004e0 + 7489d841-818d-4101-a8f9-7fd7039ae220 + 9c19fb01-0e57-44a6-b876-c214968858f6 + 29995541-45bf-46b5-b7e2-056a09aca62e + b9dc4289-1ec3-450b-a17d-340518a6c2f0 + 713ed1dd-ba3c-4484-8007-463b630d6092 + d0bb098e-b480-4784-a2db-4d6927537b51 + 6c254cc7-4033-407f-adf4-b19baf050a44 + 881129bc-16dd-40c5-bf7f-c7572fda3282 + 3dcdc74d-0754-44f4-8ca2-53e9c12b222d + 98616d02-198c-4e07-8bfb-0db902628d0e + f1b2d74a-41f2-4126-a4b7-21cf28684074 + 0b43c670-fa3c-4718-87ba-1a1a10682542 + 58f18244-1793-4931-bdd9-44e64541efd5 + f1dae086-0eb4-42a5-9d3d-6e0209aa7e07 + 31636796-8e84-41de-9662-aaba74134bca + a1530f9c-a537-42de-932e-19c6365e8716 + fc6414a0-9bee-48ef-aa06-3637587227ea + d527a055-9671-4265-bd48-d0ac4b70ce06 + 60ea54e2-64fe-495f-8b22-913d5a6247ca + f62e3b72-6853-4295-8a24-ca3f671c554d + 83 + acdeeee1-f28f-4571-a2eb-16d7beb32aa6 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6c10f1a4-05bb-4773-87fd-4e5a435f5b7f + 8becd913-3971-42d1-ad8b-6ff1a0182eac + 216ccffb-2e41-411c-a7ae-fe6f549e8f2f + 743fcb17-9a41-404d-ae2b-299a565da566 + 7770f331-b70c-42fb-9f5e-bb896d839f64 + 80adc276-a1ec-48d2-9dff-3d27dacc1fe5 + 0b823ac0-d08a-4b35-8190-2a7814c67d1b + 4aecade4-b590-42ca-8247-560501df1ee2 + 64ea358c-3477-4f98-bb7c-5e4e1efd82bf + 06840b0d-0c52-49a7-8586-671841fce316 + ba4a1feb-b523-490c-8a3f-4c305c8294b9 + 1dd505f9-1f62-462f-bfc9-d4144bc263ff + 7db4ea63-8dfc-43c1-bece-50feb8751fb7 + c224342c-801f-4459-9224-44879ddf539f + 394770c8-a55d-44a1-bdfc-7537a0bc9078 + 04ca1c72-0081-4151-ba68-441f33f8841a + 1d0ff230-f658-4eea-95c1-9da330d41b9b + b8fe0504-db69-4858-80dd-86315b6b76b4 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 91eae3cb-dae0-470b-94cd-f3e2648c462c + 5ac57098-caea-4564-a89f-ef7c20ef9db8 + ba363370-f128-492d-830e-feb1a19aa304 + ab754ebe-3054-4d4c-a815-c27c8f61646b + eaf90b89-c250-4879-864d-f0c63882a936 + b0a75fb1-6343-41f7-bc90-a0d060f70c69 + d1c4e0e8-ccaf-4b85-b9f6-95fce9375b3d + 1b4817d5-9d8a-4718-bd91-db6d602e09e0 + 43a88045-2414-49bd-a639-25a54fbc3406 + 9dcbefb3-0134-46c7-8863-745f439bb96f + dd1a655d-bc03-44ab-a804-e71acd0a147b + cea169d3-2136-4eb6-9143-f0bebe47c986 + a5b2ba25-ba64-438e-9c05-fc5c8987ddf0 + 4cc94c30-fc6b-4bd2-a5e4-e5c9c951d2f7 + a6b9e29a-03b9-47b8-82a5-1d0124f6e72e + 38f7b830-0b74-4d07-a880-de3308df725b + 67412c77-dace-4fae-82af-cee39c99c806 + 477cb8b4-b9fe-4077-afab-c5588b570340 + 57dc0514-58a2-4f8b-905d-b0580f8a2a6a + 5f998c1f-bda3-402c-8f46-2f3f0d774770 + 5181c4d3-fad3-4b64-a469-2225cbebbf0f + fbeef7d7-c4e7-4e64-b15f-550ed822ceaa + bbf474f2-ec45-461b-bfeb-6dcd3af5bbe2 + 2ee04134-7a7d-45ac-8bdc-7f096216c746 + 5717f3e7-ea4d-49b6-9633-1dad7656910f + 2635d566-5971-4fd9-8fb1-8c6434054c57 + 880dd377-9f15-4147-8cbd-1aef7e6c14cb + d2bb97e6-5e05-41ee-8886-54d3eb49ff8c + 3f6cc10b-e201-4db6-b980-be1efed2e10c + dbcbb931-46fc-45e7-a319-ae473feb5fb6 + 595a16aa-a623-4afb-9fa9-0c2a6554fab3 + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 0a05fac0-c8d8-43a2-a7e4-98ca2a43fd3e + 4d04e408-b736-49af-ba17-6ef9f5caf118 + 746e201b-3cd6-4d10-b224-d960a31ec2a8 + 222f140c-0c81-4713-9a94-baade26783d5 + a9a50160-2135-485b-ac32-52b8c1b384ee + 62256d2e-c48e-4b7a-a805-dc7290e82c4d + 3e0381b1-812d-42f5-a1a6-397345b410dd + ebb748fc-509d-4020-9ad1-9e68a19ea81a + 7944bb81-2034-4762-8159-672c0a0301da + dbac1d13-b64b-46a7-86d5-a6454cd89990 + 29d4cf3b-7477-4cab-a366-51f758a004e0 + 7489d841-818d-4101-a8f9-7fd7039ae220 + 9c19fb01-0e57-44a6-b876-c214968858f6 + 29995541-45bf-46b5-b7e2-056a09aca62e + b9dc4289-1ec3-450b-a17d-340518a6c2f0 + 713ed1dd-ba3c-4484-8007-463b630d6092 + d0bb098e-b480-4784-a2db-4d6927537b51 + 6c254cc7-4033-407f-adf4-b19baf050a44 + 881129bc-16dd-40c5-bf7f-c7572fda3282 + 3dcdc74d-0754-44f4-8ca2-53e9c12b222d + 98616d02-198c-4e07-8bfb-0db902628d0e + f1b2d74a-41f2-4126-a4b7-21cf28684074 + 0b43c670-fa3c-4718-87ba-1a1a10682542 + 58f18244-1793-4931-bdd9-44e64541efd5 + f1dae086-0eb4-42a5-9d3d-6e0209aa7e07 + 31636796-8e84-41de-9662-aaba74134bca + a1530f9c-a537-42de-932e-19c6365e8716 + fc6414a0-9bee-48ef-aa06-3637587227ea + 79 + 66c324df-3c77-43b3-a107-dda00b26db20 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 31636796-8e84-41de-9662-aaba74134bca + 1 + 6c10f1a4-05bb-4773-87fd-4e5a435f5b7f + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 216ccffb-2e41-411c-a7ae-fe6f549e8f2f + 1 + 8becd913-3971-42d1-ad8b-6ff1a0182eac + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 743fcb17-9a41-404d-ae2b-299a565da566 + 1 + 216ccffb-2e41-411c-a7ae-fe6f549e8f2f + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 7770f331-b70c-42fb-9f5e-bb896d839f64 + 1 + 743fcb17-9a41-404d-ae2b-299a565da566 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 80adc276-a1ec-48d2-9dff-3d27dacc1fe5 + 1 + 7770f331-b70c-42fb-9f5e-bb896d839f64 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 0b823ac0-d08a-4b35-8190-2a7814c67d1b + 1 + 80adc276-a1ec-48d2-9dff-3d27dacc1fe5 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 64ea358c-3477-4f98-bb7c-5e4e1efd82bf + 1 + 0b823ac0-d08a-4b35-8190-2a7814c67d1b + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 4aecade4-b590-42ca-8247-560501df1ee2 + true + Curve + Curve + false + 0 + + + + + + 5893 + 13096 + 50 + 24 + + + 5918.904 + 13108.12 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 4aecade4-b590-42ca-8247-560501df1ee2 + 1 + 64ea358c-3477-4f98-bb7c-5e4e1efd82bf + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9dcbefb3-0134-46c7-8863-745f439bb96f + 1 + 06840b0d-0c52-49a7-8586-671841fce316 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1dd505f9-1f62-462f-bfc9-d4144bc263ff + 7db4ea63-8dfc-43c1-bece-50feb8751fb7 + c224342c-801f-4459-9224-44879ddf539f + 394770c8-a55d-44a1-bdfc-7537a0bc9078 + 04ca1c72-0081-4151-ba68-441f33f8841a + 1d0ff230-f658-4eea-95c1-9da330d41b9b + b8fe0504-db69-4858-80dd-86315b6b76b4 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 5ac57098-caea-4564-a89f-ef7c20ef9db8 + 91eae3cb-dae0-470b-94cd-f3e2648c462c + 06840b0d-0c52-49a7-8586-671841fce316 + 64ea358c-3477-4f98-bb7c-5e4e1efd82bf + b9dc4289-1ec3-450b-a17d-340518a6c2f0 + 713ed1dd-ba3c-4484-8007-463b630d6092 + d0bb098e-b480-4784-a2db-4d6927537b51 + 6c254cc7-4033-407f-adf4-b19baf050a44 + 881129bc-16dd-40c5-bf7f-c7572fda3282 + 3dcdc74d-0754-44f4-8ca2-53e9c12b222d + 7489d841-818d-4101-a8f9-7fd7039ae220 + 9c19fb01-0e57-44a6-b876-c214968858f6 + 20 + ba4a1feb-b523-490c-8a3f-4c305c8294b9 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 1dd505f9-1f62-462f-bfc9-d4144bc263ff + true + Duplicate Data + Duplicate Data + + + + + + 5870 + 14261 + 104 + 64 + + + 5929 + 14293 + + + + + + 1 + Data to duplicate + dd844e52-8674-4feb-b4f7-00c98eca681d + true + Data + Data + false + 0efddd5b-9711-41f1-81b1-e4da9556a186 + 1 + + + + + + 5872 + 14263 + 42 + 20 + + + 5894.5 + 14273 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 3d65f6fe-f550-4b44-905b-e3c00e81b6f6 + true + Number + Number + false + 29995541-45bf-46b5-b7e2-056a09aca62e + 1 + + + + + + 5872 + 14283 + 42 + 20 + + + 5894.5 + 14293 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 6f9ddcf5-0f5e-4105-866c-069982ca5dcf + true + Order + Order + false + 0 + + + + + + 5872 + 14303 + 42 + 20 + + + 5894.5 + 14313 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 365f49ff-011e-46f6-9912-181349fefd8b + true + Data + Data + false + 0 + + + + + + 5944 + 14263 + 28 + 60 + + + 5959.5 + 14293 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 7db4ea63-8dfc-43c1-bece-50feb8751fb7 + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 5856 + 12333 + 116 + 44 + + + 5917 + 12355 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + dc7f8148-52f9-4331-a424-4f03e7c5f0ef + true + Forward + Forward + true + 1 + true + 365f49ff-011e-46f6-9912-181349fefd8b + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 5858 + 12335 + 44 + 20 + + + 5881.5 + 12345 + + + + + + + + 1 + false + Script Variable Left + 33f8ebc1-0de5-4f15-ba21-b44b08040f4a + true + Left + Left + true + 1 + true + 4ebb94c8-ee9c-49e1-9f2b-d25de3e882c2 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 5858 + 12355 + 44 + 20 + + + 5881.5 + 12365 + + + + + + + + Print, Reflect and Error streams + ec293403-12d3-40cf-86b1-bacb92f634fd + true + Output + Output + false + 0 + + + + + + 5932 + 12335 + 38 + 20 + + + 5952.5 + 12345 + + + + + + + + Output parameter Points + 01bc5e62-d096-4f62-98a1-30ad9e556956 + true + Points + Points + false + 0 + + + + + + 5932 + 12355 + 38 + 20 + + + 5952.5 + 12365 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 394770c8-a55d-44a1-bdfc-7537a0bc9078 + true + Series + Series + + + + + + 5867 + 13590 + 101 + 64 + + + 5917 + 13622 + + + + + + First number in the series + 46342110-9a7a-45cd-8b36-72628ca704ea + true + Start + Start + false + 0 + + + + + + 5869 + 13592 + 33 + 20 + + + 5887 + 13602 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 8469b369-1189-48b2-8a90-2d0f75eb4261 + true + Step + Step + false + f1dae086-0eb4-42a5-9d3d-6e0209aa7e07 + 1 + + + + + + 5869 + 13612 + 33 + 20 + + + 5887 + 13622 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + bde4f760-3e2a-4761-80f3-a83bf4530f0d + true + Count + Count + false + 29995541-45bf-46b5-b7e2-056a09aca62e + 1 + + + + + + 5869 + 13632 + 33 + 20 + + + 5887 + 13642 + + + + + + + + 1 + Series of numbers + b37e1d0b-abaa-4548-a8df-b35440ba7c04 + true + Series + Series + false + 0 + + + + + + 5932 + 13592 + 34 + 60 + + + 5950.5 + 13622 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 04ca1c72-0081-4151-ba68-441f33f8841a + true + Number Slider + + false + 0 + + + + + + 5854 + 14491 + 150 + 20 + + + 5854.137 + 14491.02 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 1d0ff230-f658-4eea-95c1-9da330d41b9b + true + Radians + Radians + + + + + + 5863 + 13807 + 120 + 28 + + + 5924 + 13821 + + + + + + Angle in degrees + f4a4b4a4-c3f1-4bac-aae2-a3d3880a5944 + true + Degrees + Degrees + false + 2d9e9ed7-5b0d-4a60-8faf-5f95198768de + 1 + + + + + + 5865 + 13809 + 44 + 24 + + + 5888.5 + 13821 + + + + + + + + Angle in radians + 711bca00-e1e4-4e9a-8633-2c096c3a9a2a + true + Radians + Radians + false + 0 + + + + + + 5939 + 13809 + 42 + 24 + + + 5961.5 + 13821 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + b8fe0504-db69-4858-80dd-86315b6b76b4 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 5792 + 14115 + 251 + 20 + + + 5792.296 + 14115.24 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 91eae3cb-dae0-470b-94cd-f3e2648c462c + true + Interpolate (t) + Interpolate (t) + + + + + + 5842 + 11568 + 144 + 84 + + + 5928 + 11610 + + + + + + 1 + Interpolation points + 14003dce-b190-4278-b58d-1024ebe07d0a + true + Vertices + Vertices + false + e654b44d-372f-4d5e-aa76-bc0c6662276d + 1 + + + + + + 5844 + 11570 + 69 + 20 + + + 5880 + 11580 + + + + + + + + Tangent at start of curve + 4bd5e2d1-7a7f-44aa-8dcf-b5fdea91980f + true + Tangent Start + Tangent Start + false + 0 + + + + + + 5844 + 11590 + 69 + 20 + + + 5880 + 11600 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 8bfe403d-8507-4952-9320-8c7ed84904ea + true + Tangent End + Tangent End + false + 0 + + + + + + 5844 + 11610 + 69 + 20 + + + 5880 + 11620 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + f7890425-fed7-4af4-a13b-4c2623ca405f + true + KnotStyle + KnotStyle + false + 0 + + + + + + 5844 + 11630 + 69 + 20 + + + 5880 + 11640 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c + true + Curve + Curve + false + 0 + + + + + + 5943 + 11570 + 41 + 26 + + + 5965 + 11583.33 + + + + + + + + Curve length + 117e23b0-c0b7-4138-bf09-04ba2c57f466 + true + Length + Length + false + 0 + + + + + + 5943 + 11596 + 41 + 27 + + + 5965 + 11610 + + + + + + + + Curve domain + c8d55e04-f718-4ea6-b2a9-d50f9dc4b79b + true + Domain + Domain + false + 0 + + + + + + 5943 + 11623 + 41 + 27 + + + 5965 + 11636.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1dd505f9-1f62-462f-bfc9-d4144bc263ff + 7db4ea63-8dfc-43c1-bece-50feb8751fb7 + c224342c-801f-4459-9224-44879ddf539f + 394770c8-a55d-44a1-bdfc-7537a0bc9078 + 04ca1c72-0081-4151-ba68-441f33f8841a + 1d0ff230-f658-4eea-95c1-9da330d41b9b + b8fe0504-db69-4858-80dd-86315b6b76b4 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + f1b2d74a-41f2-4126-a4b7-21cf28684074 + 4cc94c30-fc6b-4bd2-a5e4-e5c9c951d2f7 + 29d4cf3b-7477-4cab-a366-51f758a004e0 + 98616d02-198c-4e07-8bfb-0db902628d0e + 0b43c670-fa3c-4718-87ba-1a1a10682542 + defe06db-53c0-489d-8e74-07f2ca6cbc47 + 3e304865-e3aa-4211-aa15-e64db0b27c11 + feaa39ca-d99d-41fd-af1d-773431ac104a + 16 + 5ac57098-caea-4564-a89f-ef7c20ef9db8 + Group + + + + + + + + + + + 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 + ba363370-f128-492d-830e-feb1a19aa304 + true + Evaluate Length + Evaluate Length + + + + + + 5842 + 11400 + 144 + 64 + + + 5916 + 11432 + + + + + + Curve to evaluate + d0e53521-7cfd-4253-abe5-296951c29fea + true + Curve + Curve + false + 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c + 1 + + + + + + 5844 + 11402 + 57 + 20 + + + 5874 + 11412 + + + + + + + + Length factor for curve evaluation + 5869015e-a801-4980-aec8-46eb834d6079 + true + Length + Length + false + 0 + + + + + + 5844 + 11422 + 57 + 20 + + + 5874 + 11432 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + c593ea0e-dc72-4d8c-8e6d-055fbbf6c6bd + true + Normalized + Normalized + false + 0 + + + + + + 5844 + 11442 + 57 + 20 + + + 5874 + 11452 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + f0b85611-809b-4f5c-aa01-f6b65c3de244 + true + Point + Point + false + 0 + + + + + + 5931 + 11402 + 53 + 20 + + + 5959 + 11412 + + + + + + + + Tangent vector at the specified length + be7f8dc9-b750-4bed-b063-519ef6eaf63f + true + Tangent + Tangent + false + 0 + + + + + + 5931 + 11422 + 53 + 20 + + + 5959 + 11432 + + + + + + + + Curve parameter at the specified length + e433e1d1-80d5-4bec-af5a-8ecd1b825094 + true + Parameter + Parameter + false + 0 + + + + + + 5931 + 11442 + 53 + 20 + + + 5959 + 11452 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + ab754ebe-3054-4d4c-a815-c27c8f61646b + true + Mirror + Mirror + + + + + + 5845 + 11338 + 138 + 44 + + + 5913 + 11360 + + + + + + Base geometry + c06378b7-d974-4f19-b2cb-bcf3d14ac0e5 + true + Geometry + Geometry + true + 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c + 1 + + + + + + 5847 + 11340 + 51 + 20 + + + 5874 + 11350 + + + + + + + + Mirror plane + f87dc1e6-5157-45a4-aed1-3e06cdebdd25 + true + Plane + Plane + false + 51be0673-1c67-4e26-9963-994496126b95 + 1 + + + + + + 5847 + 11360 + 51 + 20 + + + 5874 + 11370 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 7b8794c1-b46d-47cd-9982-f14638a474ad + true + Geometry + Geometry + false + 0 + + + + + + 5928 + 11340 + 53 + 20 + + + 5956 + 11350 + + + + + + + + Transformation data + ee607dc7-9bde-4340-9451-56b44b39720e + true + Transform + Transform + false + 0 + + + + + + 5928 + 11360 + 53 + 20 + + + 5956 + 11370 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + eaf90b89-c250-4879-864d-f0c63882a936 + true + Line SDL + Line SDL + + + + + + 5861 + 11484 + 106 + 64 + + + 5925 + 11516 + + + + + + Line start point + 256520d1-cec3-42d5-8837-e7250b75dd88 + true + Start + Start + false + f0b85611-809b-4f5c-aa01-f6b65c3de244 + 1 + + + + + + 5863 + 11486 + 47 + 20 + + + 5888 + 11496 + + + + + + + + Line tangent (direction) + fadda13f-1a50-4c39-8357-7da8fd89e7d8 + true + Direction + Direction + false + be7f8dc9-b750-4bed-b063-519ef6eaf63f + 1 + + + + + + 5863 + 11506 + 47 + 20 + + + 5888 + 11516 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 02e926a2-f97e-4d3c-bdeb-4cbd346b1377 + true + Length + Length + false + 0 + + + + + + 5863 + 11526 + 47 + 20 + + + 5888 + 11536 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 51be0673-1c67-4e26-9963-994496126b95 + true + Line + Line + false + 0 + + + + + + 5940 + 11486 + 25 + 60 + + + 5954 + 11516 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + b0a75fb1-6343-41f7-bc90-a0d060f70c69 + true + Join Curves + Join Curves + + + + + + 5855 + 11276 + 118 + 44 + + + 5918 + 11298 + + + + + + 1 + Curves to join + 18f96d0b-0968-468e-ad76-15eec3653fa1 + true + Curves + Curves + false + 6b875d6f-ac8f-453d-8230-d0b85cd0fd0c + 7b8794c1-b46d-47cd-9982-f14638a474ad + 2 + + + + + + 5857 + 11278 + 46 + 20 + + + 5881.5 + 11288 + + + + + + + + Preserve direction of input curves + b3d25528-5b0b-4f9d-89a7-454c05a34433 + true + Preserve + Preserve + false + 0 + + + + + + 5857 + 11298 + 46 + 20 + + + 5881.5 + 11308 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 84b113a4-36ae-4d72-a1f4-38425ac3c351 + true + Curves + Curves + false + 0 + + + + + + 5933 + 11278 + 38 + 40 + + + 5953.5 + 11298 + + + + + + + + + + + + 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 + d1c4e0e8-ccaf-4b85-b9f6-95fce9375b3d + true + Evaluate Length + Evaluate Length + + + + + + 5842 + 11192 + 144 + 64 + + + 5916 + 11224 + + + + + + Curve to evaluate + f8864a75-12f1-49f9-aaec-674cd04ccec6 + true + Curve + Curve + false + 84b113a4-36ae-4d72-a1f4-38425ac3c351 + 1 + + + + + + 5844 + 11194 + 57 + 20 + + + 5874 + 11204 + + + + + + + + Length factor for curve evaluation + 791650d5-583f-4037-9eff-9de57c7e02ae + true + Length + Length + false + 0 + + + + + + 5844 + 11214 + 57 + 20 + + + 5874 + 11224 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 2e878f5b-6d4f-4246-8ec1-42abde650614 + true + Normalized + Normalized + false + 0 + + + + + + 5844 + 11234 + 57 + 20 + + + 5874 + 11244 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d42d500d-09a5-42de-85f9-5f46102e5afb + true + Point + Point + false + 0 + + + + + + 5931 + 11194 + 53 + 20 + + + 5959 + 11204 + + + + + + + + Tangent vector at the specified length + 03523f6b-69f2-47f8-8f4e-941913fd3a50 + true + Tangent + Tangent + false + 0 + + + + + + 5931 + 11214 + 53 + 20 + + + 5959 + 11224 + + + + + + + + Curve parameter at the specified length + 8e8fddfa-eec6-477a-8d55-daa01b73a773 + true + Parameter + Parameter + false + 0 + + + + + + 5931 + 11234 + 53 + 20 + + + 5959 + 11244 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 1b4817d5-9d8a-4718-bd91-db6d602e09e0 + true + Rotate + Rotate + + + + + + 5845 + 11109 + 138 + 64 + + + 5913 + 11141 + + + + + + Base geometry + bb159ef4-97b8-4828-b5ef-1f39bf6db0a2 + true + Geometry + Geometry + true + 84b113a4-36ae-4d72-a1f4-38425ac3c351 + 1 + + + + + + 5847 + 11111 + 51 + 20 + + + 5874 + 11121 + + + + + + + + Rotation angle in radians + 26baf301-a89e-4c3e-a845-e717cbbef6c5 + true + Angle + Angle + false + 0 + false + + + + + + 5847 + 11131 + 51 + 20 + + + 5874 + 11141 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + f86fc98a-5729-4f4f-8428-27c853441eab + true + Plane + Plane + false + d42d500d-09a5-42de-85f9-5f46102e5afb + 1 + + + + + + 5847 + 11151 + 51 + 20 + + + 5874 + 11161 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + a9bd0ca2-3899-42d7-8413-d314a63078ea + true + Geometry + Geometry + false + 0 + + + + + + 5928 + 11111 + 53 + 30 + + + 5956 + 11126 + + + + + + + + Transformation data + b018420a-9fb6-4f5e-96db-b597eea1bc7e + true + Transform + Transform + false + 0 + + + + + + 5928 + 11141 + 53 + 30 + + + 5956 + 11156 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 43a88045-2414-49bd-a639-25a54fbc3406 + true + Join Curves + Join Curves + + + + + + 5855 + 11046 + 118 + 44 + + + 5918 + 11068 + + + + + + 1 + Curves to join + c25f19b2-7d85-4d79-a4be-f9e05a14cf3e + true + Curves + Curves + false + 84b113a4-36ae-4d72-a1f4-38425ac3c351 + a9bd0ca2-3899-42d7-8413-d314a63078ea + 2 + + + + + + 5857 + 11048 + 46 + 20 + + + 5881.5 + 11058 + + + + + + + + Preserve direction of input curves + d0fdd647-5388-48dc-9213-e3f5c2d6e5e1 + true + Preserve + Preserve + false + 0 + + + + + + 5857 + 11068 + 46 + 20 + + + 5881.5 + 11078 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 9812b233-b663-4f90-9a4e-aefbd47045fe + true + Curves + Curves + false + 0 + + + + + + 5933 + 11048 + 38 + 40 + + + 5953.5 + 11068 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 91eae3cb-dae0-470b-94cd-f3e2648c462c + ba363370-f128-492d-830e-feb1a19aa304 + ab754ebe-3054-4d4c-a815-c27c8f61646b + eaf90b89-c250-4879-864d-f0c63882a936 + b0a75fb1-6343-41f7-bc90-a0d060f70c69 + d1c4e0e8-ccaf-4b85-b9f6-95fce9375b3d + 1b4817d5-9d8a-4718-bd91-db6d602e09e0 + 43a88045-2414-49bd-a639-25a54fbc3406 + cea169d3-2136-4eb6-9143-f0bebe47c986 + 25aa5733-be81-4880-a0cb-342eaf97bb70 + 5f265745-6ca0-49fb-a2cc-9640c03fedfc + e654b44d-372f-4d5e-aa76-bc0c6662276d + 15cea472-84f0-43d6-adb5-ebab1513851b + a76219c7-98a0-4832-8b36-314f51be2052 + 786183f9-8f91-45b1-ba10-5f602200fca4 + 15 + 9dcbefb3-0134-46c7-8863-745f439bb96f + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + dd1a655d-bc03-44ab-a804-e71acd0a147b + true + Panel + + false + 0 + 2ee04134-7a7d-45ac-8bdc-7f096216c746 + 1 + Double click to edit panel content… + + + + + + 5845 + 13681 + 145 + 20 + + 0 + 0 + 0 + + 5845.325 + 13681.46 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + cea169d3-2136-4eb6-9143-f0bebe47c986 + true + Curve + Curve + false + 9812b233-b663-4f90-9a4e-aefbd47045fe + 1 + + + + + + 5893 + 11009 + 50 + 24 + + + 5918.904 + 11021.04 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + cea169d3-2136-4eb6-9143-f0bebe47c986 + 1 + a5b2ba25-ba64-438e-9c05-fc5c8987ddf0 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4cc94c30-fc6b-4bd2-a5e4-e5c9c951d2f7 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 5698 + 13886 + 439 + 20 + + 0 + 0 + 0 + + 5698.886 + 13886.15 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + a6b9e29a-03b9-47b8-82a5-1d0124f6e72e + true + Evaluate Length + Evaluate Length + + + + + + 5842 + 10920 + 144 + 64 + + + 5916 + 10952 + + + + + + Curve to evaluate + 82da40f5-15f0-4cbf-a6f5-189ce60fce05 + true + Curve + Curve + false + 9812b233-b663-4f90-9a4e-aefbd47045fe + 1 + + + + + + 5844 + 10922 + 57 + 20 + + + 5874 + 10932 + + + + + + + + Length factor for curve evaluation + bb3037c5-d8e9-4462-91b0-e00ff4b5a0ce + true + Length + Length + false + 0 + + + + + + 5844 + 10942 + 57 + 20 + + + 5874 + 10952 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 9ae0edb6-0813-496b-9d21-e79219f06e93 + true + Normalized + Normalized + false + 0 + + + + + + 5844 + 10962 + 57 + 20 + + + 5874 + 10972 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 245e6630-3216-4dd4-b1cd-9293f469556d + true + Point + Point + false + 0 + + + + + + 5931 + 10922 + 53 + 20 + + + 5959 + 10932 + + + + + + + + Tangent vector at the specified length + 26c5134f-1a93-4191-9048-9cccb80b9208 + true + Tangent + Tangent + false + 0 + + + + + + 5931 + 10942 + 53 + 20 + + + 5959 + 10952 + + + + + + + + Curve parameter at the specified length + f2641e59-05bc-4a6b-a249-613bfae72b76 + true + Parameter + Parameter + false + 0 + + + + + + 5931 + 10962 + 53 + 20 + + + 5959 + 10972 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 38f7b830-0b74-4d07-a880-de3308df725b + true + Expression + Expression + + + + + + 5817 + 10698 + 194 + 28 + + + 5917 + 10712 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 793225a2-6e7d-4418-b11c-40be35acbd4b + true + Variable O + O + true + 7c45c41e-5a18-424d-8fb3-83818f2b21bc + 1 + + + + + + 5819 + 10700 + 14 + 24 + + + 5827.5 + 10712 + + + + + + + + Result of expression + 485c687d-e506-40e3-87ba-5238b204da66 + true + Result + + false + 0 + + + + + + 6000 + 10700 + 9 + 24 + + + 6006 + 10712 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 67412c77-dace-4fae-82af-cee39c99c806 + true + Deconstruct + Deconstruct + + + + + + 5848 + 10832 + 132 + 64 + + + 5895 + 10864 + + + + + + Input point + 6d35a566-4b74-4740-841a-ee179d0f580c + true + Point + Point + false + 245e6630-3216-4dd4-b1cd-9293f469556d + 1 + + + + + + 5850 + 10834 + 30 + 60 + + + 5866.5 + 10864 + + + + + + + + Point {x} component + 7c45c41e-5a18-424d-8fb3-83818f2b21bc + true + X component + X component + false + 0 + + + + + + 5910 + 10834 + 68 + 20 + + + 5945.5 + 10844 + + + + + + + + Point {y} component + 6ed4bd9d-bb91-4452-a9fe-9a2ff0e94f0e + true + Y component + Y component + false + 0 + + + + + + 5910 + 10854 + 68 + 20 + + + 5945.5 + 10864 + + + + + + + + Point {z} component + 7e2137ea-db72-453e-a5da-70cdffc38919 + true + Z component + Z component + false + 0 + + + + + + 5910 + 10874 + 68 + 20 + + + 5945.5 + 10884 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 477cb8b4-b9fe-4077-afab-c5588b570340 + true + Panel + + false + 0 + 485c687d-e506-40e3-87ba-5238b204da66 + 1 + Double click to edit panel content… + + + + + + 5837 + 10674 + 160 + 20 + + 0 + 0 + 0 + + 5837.674 + 10674.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 57dc0514-58a2-4f8b-905d-b0580f8a2a6a + true + Expression + Expression + + + + + + 5817 + 10612 + 194 + 28 + + + 5917 + 10626 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 855c1afb-4cb1-4286-8ddf-1e0a5171dfae + true + Variable O + O + true + 6ed4bd9d-bb91-4452-a9fe-9a2ff0e94f0e + 1 + + + + + + 5819 + 10614 + 14 + 24 + + + 5827.5 + 10626 + + + + + + + + Result of expression + 5260cb9b-cb50-4a0b-8403-c1a0271bfa67 + true + Result + + false + 0 + + + + + + 6000 + 10614 + 9 + 24 + + + 6006 + 10626 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5f998c1f-bda3-402c-8f46-2f3f0d774770 + true + Panel + + false + 0 + 5260cb9b-cb50-4a0b-8403-c1a0271bfa67 + 1 + Double click to edit panel content… + + + + + + 5837 + 10586 + 160 + 20 + + 0 + 0 + 0 + + 5837.674 + 10586.19 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 5181c4d3-fad3-4b64-a469-2225cbebbf0f + true + Division + Division + + + + + + 5873 + 10510 + 82 + 44 + + + 5904 + 10532 + + + + + + Item to divide (dividend) + 37926542-2cc1-4f09-8d11-67527b9ae333 + true + A + A + false + 477cb8b4-b9fe-4077-afab-c5588b570340 + 1 + + + + + + 5875 + 10512 + 14 + 20 + + + 5883.5 + 10522 + + + + + + + + Item to divide with (divisor) + e91e4877-5211-418d-9e3e-46bbf3a7788f + true + B + B + false + 5f998c1f-bda3-402c-8f46-2f3f0d774770 + 1 + + + + + + 5875 + 10532 + 14 + 20 + + + 5883.5 + 10542 + + + + + + + + The result of the Division + 69ed6fd3-5616-40ab-8a6f-525dfdea1e18 + true + Result + Result + false + 0 + + + + + + 5919 + 10512 + 34 + 40 + + + 5937.5 + 10532 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fbeef7d7-c4e7-4e64-b15f-550ed822ceaa + true + Panel + + false + 0 + 2ee04134-7a7d-45ac-8bdc-7f096216c746 + 1 + Double click to edit panel content… + + + + + + 5837 + 10438 + 160 + 20 + + 0 + 0 + 0 + + 5837.914 + 10438.68 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + bbf474f2-ec45-461b-bfeb-6dcd3af5bbe2 + true + Expression + Expression + + + + + + 5817 + 10463 + 194 + 28 + + + 5917 + 10477 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + ab64710f-446e-4a45-afcd-5315cbf382ee + true + Variable O + O + true + 69ed6fd3-5616-40ab-8a6f-525dfdea1e18 + 1 + + + + + + 5819 + 10465 + 14 + 24 + + + 5827.5 + 10477 + + + + + + + + Result of expression + e4c1d5bf-53c0-46d3-8134-60dff954624d + true + Result + + false + 0 + + + + + + 6000 + 10465 + 9 + 24 + + + 6006 + 10477 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2ee04134-7a7d-45ac-8bdc-7f096216c746 + true + Relay + + false + e4c1d5bf-53c0-46d3-8134-60dff954624d + 1 + + + + + + 5894 + 10388 + 40 + 16 + + + 5914 + 10396 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 5717f3e7-ea4d-49b6-9633-1dad7656910f + true + Addition + Addition + + + + + + 5873 + 10325 + 82 + 44 + + + 5904 + 10347 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + dee754ee-32c1-4684-a8ab-59d5c4131b0a + true + A + A + true + 5f998c1f-bda3-402c-8f46-2f3f0d774770 + 1 + + + + + + 5875 + 10327 + 14 + 20 + + + 5883.5 + 10337 + + + + + + + + Second item for addition + facfa311-a692-4f2f-b2b9-9fd8f0f5f083 + true + B + B + true + 477cb8b4-b9fe-4077-afab-c5588b570340 + 1 + + + + + + 5875 + 10347 + 14 + 20 + + + 5883.5 + 10357 + + + + + + + + Result of addition + 17d7802c-3231-45db-8bad-4ab3cdc949d3 + true + Result + Result + false + 0 + + + + + + 5919 + 10327 + 34 + 40 + + + 5937.5 + 10347 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 2635d566-5971-4fd9-8fb1-8c6434054c57 + true + Division + Division + + + + + + 5873 + 10175 + 82 + 44 + + + 5904 + 10197 + + + + + + Item to divide (dividend) + b50e3108-f1b1-4296-96a2-69de37f73e68 + true + A + A + false + 3f6cc10b-e201-4db6-b980-be1efed2e10c + 1 + + + + + + 5875 + 10177 + 14 + 20 + + + 5883.5 + 10187 + + + + + + + + Item to divide with (divisor) + bc18661a-66bb-48df-a404-51d3f880d78c + true + B + B + false + 0 + + + + + + 5875 + 10197 + 14 + 20 + + + 5883.5 + 10207 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 5fe6a977-f424-4434-a7d8-c8461640d5be + true + Result + Result + false + 0 + + + + + + 5919 + 10177 + 34 + 40 + + + 5937.5 + 10197 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 880dd377-9f15-4147-8cbd-1aef7e6c14cb + true + Expression + Expression + + + + + + 5817 + 10127 + 194 + 28 + + + 5917 + 10141 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 52a9f66f-0f50-4489-ac33-49e4095fce0c + true + Variable O + O + true + 5fe6a977-f424-4434-a7d8-c8461640d5be + 1 + + + + + + 5819 + 10129 + 14 + 24 + + + 5827.5 + 10141 + + + + + + + + Result of expression + 655983b5-5a6c-4df5-acae-eb12f7280409 + true + Result + + false + 0 + + + + + + 6000 + 10129 + 9 + 24 + + + 6006 + 10141 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d2bb97e6-5e05-41ee-8886-54d3eb49ff8c + true + Panel + + false + 0 + 655983b5-5a6c-4df5-acae-eb12f7280409 + 1 + Double click to edit panel content… + + + + + + 5837 + 10102 + 160 + 20 + + 0 + 0 + 0 + + 5837.674 + 10102.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3f6cc10b-e201-4db6-b980-be1efed2e10c + true + Panel + + false + 0 + 39579052-c6b4-4c93-80ce-037b62f23d4b + 1 + Double click to edit panel content… + + + + + + 5837 + 10254 + 160 + 20 + + 0 + 0 + 0 + + 5837.674 + 10254.45 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + dbcbb931-46fc-45e7-a319-ae473feb5fb6 + true + Expression + Expression + + + + + + 5817 + 10278 + 194 + 28 + + + 5917 + 10292 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + a9b030fa-55b8-43f4-900e-f487442c1fce + true + Variable O + O + true + 17d7802c-3231-45db-8bad-4ab3cdc949d3 + 1 + + + + + + 5819 + 10280 + 14 + 24 + + + 5827.5 + 10292 + + + + + + + + Result of expression + 39579052-c6b4-4c93-80ce-037b62f23d4b + true + Result + + false + 0 + + + + + + 6000 + 10280 + 9 + 24 + + + 6006 + 10292 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 595a16aa-a623-4afb-9fa9-0c2a6554fab3 + true + Scale + Scale + + + + + + 5837 + 10004 + 154 + 64 + + + 5921 + 10036 + + + + + + Base geometry + f730c55d-cc18-472d-90e0-fbe683dd46d4 + true + Geometry + Geometry + true + cea169d3-2136-4eb6-9143-f0bebe47c986 + 1 + + + + + + 5839 + 10006 + 67 + 20 + + + 5882 + 10016 + + + + + + + + Center of scaling + d2d94511-bf63-4eef-b617-f38d21c8cff1 + true + Center + Center + false + 0 + + + + + + 5839 + 10026 + 67 + 20 + + + 5882 + 10036 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + e93b3d91-a1eb-431e-95a6-3452eee944b6 + 1/X + true + Factor + Factor + false + d2bb97e6-5e05-41ee-8886-54d3eb49ff8c + 1 + + + + + + 5839 + 10046 + 67 + 20 + + + 5882 + 10056 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 5c7bc850-4efc-4a25-89d1-a7f544642a5a + true + Geometry + Geometry + false + 0 + + + + + + 5936 + 10006 + 53 + 30 + + + 5964 + 10021 + + + + + + + + Transformation data + 6c9d6dd4-37b0-44b3-b2c1-2d5e463b712c + true + Transform + Transform + false + 0 + + + + + + 5936 + 10036 + 53 + 30 + + + 5964 + 10051 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d4034eaa-4c6f-4be1-b330-6f528bb505ca + true + Curve + Curve + false + 5c7bc850-4efc-4a25-89d1-a7f544642a5a + 1 + + + + + + 5891 + 9408 + 50 + 24 + + + 5916.654 + 9420.042 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0a05fac0-c8d8-43a2-a7e4-98ca2a43fd3e + true + Expression + Expression + + + + + + 5817 + 10785 + 194 + 28 + + + 5917 + 10799 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 071e3512-484c-405f-a7d5-0b6c3a2699af + true + Variable O + O + true + 7e2137ea-db72-453e-a5da-70cdffc38919 + 1 + + + + + + 5819 + 10787 + 14 + 24 + + + 5827.5 + 10799 + + + + + + + + Result of expression + d19e00b6-4210-4d29-904c-9857c2acd768 + true + Result + + false + 0 + + + + + + 6000 + 10787 + 9 + 24 + + + 6006 + 10799 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4d04e408-b736-49af-ba17-6ef9f5caf118 + true + Panel + + false + 0 + d19e00b6-4210-4d29-904c-9857c2acd768 + 1 + Double click to edit panel content… + + + + + + 5838 + 10760 + 160 + 20 + + 0 + 0 + 0 + + 5838.544 + 10760.39 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 746e201b-3cd6-4d10-b224-d960a31ec2a8 + true + Evaluate Length + Evaluate Length + + + + + + 5842 + 9794 + 144 + 64 + + + 5916 + 9826 + + + + + + Curve to evaluate + 0b388908-79e0-422a-acfb-e3716a997e56 + true + Curve + Curve + false + 5c7bc850-4efc-4a25-89d1-a7f544642a5a + 1 + + + + + + 5844 + 9796 + 57 + 20 + + + 5874 + 9806 + + + + + + + + Length factor for curve evaluation + 63aea307-a4fd-4052-91f2-5ec4c0d27f98 + true + Length + Length + false + 0 + + + + + + 5844 + 9816 + 57 + 20 + + + 5874 + 9826 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 63d8e104-36e0-487a-9b4f-6d7885afd3cd + true + Normalized + Normalized + false + 0 + + + + + + 5844 + 9836 + 57 + 20 + + + 5874 + 9846 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 7afcb608-1a5b-4b10-aa61-b40f3386872d + true + Point + Point + false + 0 + + + + + + 5931 + 9796 + 53 + 20 + + + 5959 + 9806 + + + + + + + + Tangent vector at the specified length + e9b998a4-de4d-4586-a377-3bb36a701a2f + true + Tangent + Tangent + false + 0 + + + + + + 5931 + 9816 + 53 + 20 + + + 5959 + 9826 + + + + + + + + Curve parameter at the specified length + 01c186a4-f8e6-4f48-b8cd-f80998ca3d91 + true + Parameter + Parameter + false + 0 + + + + + + 5931 + 9836 + 53 + 20 + + + 5959 + 9846 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 222f140c-0c81-4713-9a94-baade26783d5 + true + Expression + Expression + + + + + + 5817 + 9577 + 194 + 28 + + + 5917 + 9591 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + b58c66f8-7aac-469e-a871-f3d3ff6e68d5 + true + Variable O + O + true + ca99489c-2cde-43ca-8485-36d64dc570fd + 1 + + + + + + 5819 + 9579 + 14 + 24 + + + 5827.5 + 9591 + + + + + + + + Result of expression + cd848b5e-7988-46d1-8da5-52ba92f70fd4 + true + Result + + false + 0 + + + + + + 6000 + 9579 + 9 + 24 + + + 6006 + 9591 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + a9a50160-2135-485b-ac32-52b8c1b384ee + true + Deconstruct + Deconstruct + + + + + + 5848 + 9711 + 132 + 64 + + + 5895 + 9743 + + + + + + Input point + fe3578bd-1540-4815-a219-d5affc118fc4 + true + Point + Point + false + 7afcb608-1a5b-4b10-aa61-b40f3386872d + 1 + + + + + + 5850 + 9713 + 30 + 60 + + + 5866.5 + 9743 + + + + + + + + Point {x} component + ca99489c-2cde-43ca-8485-36d64dc570fd + true + X component + X component + false + 0 + + + + + + 5910 + 9713 + 68 + 20 + + + 5945.5 + 9723 + + + + + + + + Point {y} component + dbabc110-68d0-4ecc-a91a-4b3f56dbc86e + true + Y component + Y component + false + 0 + + + + + + 5910 + 9733 + 68 + 20 + + + 5945.5 + 9743 + + + + + + + + Point {z} component + eea51cec-5af8-42fa-ab25-c4e1ee89e0cb + true + Z component + Z component + false + 0 + + + + + + 5910 + 9753 + 68 + 20 + + + 5945.5 + 9763 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 62256d2e-c48e-4b7a-a805-dc7290e82c4d + true + Panel + + false + 0 + cd848b5e-7988-46d1-8da5-52ba92f70fd4 + 1 + Double click to edit panel content… + + + + + + 5837 + 9547 + 160 + 20 + + 0 + 0 + 0 + + 5837.924 + 9547.962 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3e0381b1-812d-42f5-a1a6-397345b410dd + true + Expression + Expression + + + + + + 5817 + 9491 + 194 + 28 + + + 5917 + 9505 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 1d9efd19-b810-4aad-8823-e73fe8fed096 + true + Variable O + O + true + dbabc110-68d0-4ecc-a91a-4b3f56dbc86e + 1 + + + + + + 5819 + 9493 + 14 + 24 + + + 5827.5 + 9505 + + + + + + + + Result of expression + f4471e9a-ea1b-4783-9be8-5b29bacd971e + true + Result + + false + 0 + + + + + + 6000 + 9493 + 9 + 24 + + + 6006 + 9505 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ebb748fc-509d-4020-9ad1-9e68a19ea81a + true + Panel + + false + 0 + f4471e9a-ea1b-4783-9be8-5b29bacd971e + 1 + Double click to edit panel content… + + + + + + 5837 + 9462 + 160 + 20 + + 0 + 0 + 0 + + 5837.935 + 9462.333 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 7944bb81-2034-4762-8159-672c0a0301da + true + Expression + Expression + + + + + + 5817 + 9663 + 194 + 28 + + + 5917 + 9677 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2bc32946-2fa2-4c5e-ad26-3ef542c5b105 + true + Variable O + O + true + eea51cec-5af8-42fa-ab25-c4e1ee89e0cb + 1 + + + + + + 5819 + 9665 + 14 + 24 + + + 5827.5 + 9677 + + + + + + + + Result of expression + 55204a19-f2d6-430e-aeb3-db67fb7f53ca + true + Result + + false + 0 + + + + + + 6000 + 9665 + 9 + 24 + + + 6006 + 9677 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + dbac1d13-b64b-46a7-86d5-a6454cd89990 + true + Panel + + false + 0 + 55204a19-f2d6-430e-aeb3-db67fb7f53ca + 1 + Double click to edit panel content… + + + + + + 5837 + 9634 + 160 + 20 + + 0 + 0 + 0 + + 5837.674 + 9634.173 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 29d4cf3b-7477-4cab-a366-51f758a004e0 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 5736 + 13968 + 379 + 104 + + 0 + 0 + 0 + + 5736.33 + 13968.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7489d841-818d-4101-a8f9-7fd7039ae220 + true + Panel + + false + 0 + b645c4bc-9d9b-4874-8ec9-27fad2893d18 + 1 + Double click to edit panel content… + + + + + + 5749 + 11997 + 337 + 276 + + 0 + 0 + 0 + + 5749.865 + 11997.96 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9c19fb01-0e57-44a6-b876-c214968858f6 + true + Expression + Expression + + + + + + 5817 + 12285 + 194 + 28 + + + 5917 + 12299 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 1fb86dc7-7ae3-4bb6-b34f-ef5889054291 + true + Variable O + O + true + 01bc5e62-d096-4f62-98a1-30ad9e556956 + 1 + + + + + + 5819 + 12287 + 14 + 24 + + + 5827.5 + 12299 + + + + + + + + Result of expression + b645c4bc-9d9b-4874-8ec9-27fad2893d18 + true + Result + + false + 0 + + + + + + 6000 + 12287 + 9 + 24 + + + 6006 + 12299 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 29995541-45bf-46b5-b7e2-056a09aca62e + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 5896 + 14460 + 50 + 24 + + + 5921.531 + 14472.8 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + b9dc4289-1ec3-450b-a17d-340518a6c2f0 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 5745 + 12567 + 160 + 224 + + + 5813 + 12679 + + + + + + 1 + One or multiple graph curves to graph map values with + 32d6541c-6408-46b0-a7ef-3bf06d4f6142 + true + Curves + Curves + false + a2ddecae-b510-4bde-a13c-a6778c2b7983 + 1 + + + + + + 5747 + 12569 + 51 + 27 + + + 5774 + 12582.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + f9baf45b-88b0-455d-93c3-b3926ac5a47e + true + Rectangle + Rectangle + false + fbce522b-808a-4e01-b628-2d36e3a39178 + 1 + + + + + + 5747 + 12596 + 51 + 28 + + + 5774 + 12610.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 606e2f95-e48a-40a2-adf9-89ca6af5981f + true + Values + Values + false + b37e1d0b-abaa-4548-a8df-b35440ba7c04 + 1 + + + + + + 5747 + 12624 + 51 + 27 + + + 5774 + 12637.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 4792c775-c135-4b3c-b6f9-c3d1de04bc44 + true + X Axis + X Axis + true + 0 + + + + + + 5747 + 12651 + 51 + 28 + + + 5774 + 12665.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + e93b32ff-373a-4fdf-b68c-f3f111b9e178 + true + Y Axis + Y Axis + true + 0 + + + + + + 5747 + 12679 + 51 + 27 + + + 5774 + 12692.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 4722c34a-c7f1-4f41-93fa-dd5de1ddd522 + true + Flip + Flip + false + 0 + + + + + + 5747 + 12706 + 51 + 28 + + + 5774 + 12720.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 1e76bda1-440a-4b7f-81b2-986994e1f4ac + true + Snap + Snap + false + 0 + + + + + + 5747 + 12734 + 51 + 27 + + + 5774 + 12747.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + 4f5d6bea-fe90-4a82-a30c-c1ff3d880362 + true + Text Size + Text Size + false + 0 + + + + + + 5747 + 12761 + 51 + 28 + + + 5774 + 12775.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 182e6756-dbe1-445b-b63e-b4e763b846d2 + true + Mapped + Mapped + false + 0 + + + + + + 5828 + 12569 + 75 + 20 + + + 5867 + 12579 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 2f4cf36c-da50-4871-bb23-2cf39032f6d0 + true + Graph Curves + Graph Curves + false + 0 + + + + + + 5828 + 12589 + 75 + 20 + + + 5867 + 12599 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 67e243a0-9c79-4cf9-867b-fd7a8223b5bb + true + Graph Points + Graph Points + false + 0 + + + + + + 5828 + 12609 + 75 + 20 + + + 5867 + 12619 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 253e7abe-516a-4b5f-964e-7cd9034bf068 + true + Value Lines + Value Lines + false + 0 + + + + + + 5828 + 12629 + 75 + 20 + + + 5867 + 12639 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + e926acac-330d-4c65-919d-d8c44003cdaf + true + Value Points + Value Points + false + 0 + + + + + + 5828 + 12649 + 75 + 20 + + + 5867 + 12659 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 0e937535-972d-49f0-ba64-31842e5b9511 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 5828 + 12669 + 75 + 20 + + + 5867 + 12679 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 9b998ae6-f2df-4c33-8ee1-323c54087441 + true + Mapped Points + Mapped Points + false + 0 + + + + + + 5828 + 12689 + 75 + 20 + + + 5867 + 12699 + + + + + + + + The graph boundary background as a surface + a547d1bc-cea7-4a2f-bdee-a517455cc879 + true + Boundary + Boundary + false + 0 + + + + + + 5828 + 12709 + 75 + 20 + + + 5867 + 12719 + + + + + + + + 1 + The graph labels as curve outlines + 4563af42-7f5f-49f1-9b58-076ad24c33dc + true + Labels + Labels + false + 0 + + + + + + 5828 + 12729 + 75 + 20 + + + 5867 + 12739 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 88f68fbc-71e3-4f2f-9d8b-955ca7c852a2 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 5828 + 12749 + 75 + 20 + + + 5867 + 12759 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 05211d5f-978e-4d62-bda8-e42e2c9d662a + true + Intersected + Intersected + false + 0 + + + + + + 5828 + 12769 + 75 + 20 + + + 5867 + 12779 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 713ed1dd-ba3c-4484-8007-463b630d6092 + true + End Points + End Points + + + + + + 5866 + 12992 + 96 + 44 + + + 5916 + 13014 + + + + + + Curve to evaluate + aea9f626-3da0-429c-a2b4-fe51089d24b9 + true + Curve + Curve + false + a2ddecae-b510-4bde-a13c-a6778c2b7983 + 1 + + + + + + 5868 + 12994 + 33 + 40 + + + 5886 + 13014 + + + + + + + + Curve start point + 65bae426-5e17-4d4a-b597-cd6f3232f590 + true + Start + Start + false + 0 + + + + + + 5931 + 12994 + 29 + 20 + + + 5947 + 13004 + + + + + + + + Curve end point + f1cfd79e-7012-45b9-9c67-010726f6ccc2 + true + End + End + false + 0 + + + + + + 5931 + 13014 + 29 + 20 + + + 5947 + 13024 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + d0bb098e-b480-4784-a2db-4d6927537b51 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 5851 + 12890 + 126 + 84 + + + 5909 + 12932 + + + + + + Rectangle base plane + 66726f7e-8dd7-422b-b0a1-d4b1f9efaf56 + true + Plane + Plane + false + 0 + + + + + + 5853 + 12892 + 41 + 20 + + + 5875 + 12902 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + fb377aff-64f2-4c63-b144-673fa5fb318b + true + Point A + Point A + false + 65bae426-5e17-4d4a-b597-cd6f3232f590 + 1 + + + + + + 5853 + 12912 + 41 + 20 + + + 5875 + 12922 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 3d92733c-76d9-4666-9bf2-7eb4b6479dae + true + Point B + Point B + false + f1cfd79e-7012-45b9-9c67-010726f6ccc2 + 1 + + + + + + 5853 + 12932 + 41 + 20 + + + 5875 + 12942 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 1ef35318-2b34-40b0-aac4-39054c03b5a6 + true + Radius + Radius + false + 0 + + + + + + 5853 + 12952 + 41 + 20 + + + 5875 + 12962 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + fbce522b-808a-4e01-b628-2d36e3a39178 + true + Rectangle + Rectangle + false + 0 + + + + + + 5924 + 12892 + 51 + 40 + + + 5951 + 12912 + + + + + + + + Length of rectangle curve + 936d84ad-70d2-4c7b-9b60-e73067350e28 + true + Length + Length + false + 0 + + + + + + 5924 + 12932 + 51 + 40 + + + 5951 + 12952 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + 6c254cc7-4033-407f-adf4-b19baf050a44 + true + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 5905 + 12687 + 126 + 104 + + + 5972 + 12739 + + + + + + External curve as a graph + 25c65aed-aba1-4f3e-a1ee-42f2c644a105 + true + Curve + Curve + false + a2ddecae-b510-4bde-a13c-a6778c2b7983 + 1 + + + + + + 5907 + 12689 + 50 + 20 + + + 5933.5 + 12699 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 76aaa4e5-1b5c-4f8b-93bc-1d8b63359864 + true + Boundary + Boundary + true + fbce522b-808a-4e01-b628-2d36e3a39178 + 1 + + + + + + 5907 + 12709 + 50 + 20 + + + 5933.5 + 12719 + + + + + + + + 1 + List of input numbers + 61d6b9c5-67fd-4efb-8f53-165917c4d7ac + true + Numbers + Numbers + false + b37e1d0b-abaa-4548-a8df-b35440ba7c04 + 1 + + + + + + 5907 + 12729 + 50 + 20 + + + 5933.5 + 12739 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 6efeeb86-181f-46e8-8e04-bf2bc2fbc8d7 + true + Input + Input + true + 7ec45eea-d71b-4e9c-b409-4a968132f79d + 1 + + + + + + 5907 + 12749 + 50 + 20 + + + 5933.5 + 12759 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 15e24b2d-524c-4ad7-b733-8a40932d9d18 + true + Output + Output + true + 7ec45eea-d71b-4e9c-b409-4a968132f79d + 1 + + + + + + 5907 + 12769 + 50 + 20 + + + 5933.5 + 12779 + + + + + + + + 1 + Output Numbers + 88325158-59bf-4c2c-bc69-0d798de17f6c + true + Number + Number + false + 0 + + + + + + 5987 + 12689 + 42 + 100 + + + 6009.5 + 12739 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 881129bc-16dd-40c5-bf7f-c7572fda3282 + true + Stream Filter + Stream Filter + + + + + + 5880 + 12484 + 89 + 64 + + + 5925 + 12516 + + + + + + 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 + 8d3fbb9c-6e24-4a47-ba2f-fba4ff65e024 + true + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 5882 + 12486 + 28 + 20 + + + 5897.5 + 12496 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 01f240ea-0277-49c1-b60f-c84515115e1d + true + false + Stream 0 + 0 + true + 182e6756-dbe1-445b-b63e-b4e763b846d2 + 1 + + + + + + 5882 + 12506 + 28 + 20 + + + 5897.5 + 12516 + + + + + + + + 2 + Input stream at index 1 + 27fdf3b3-d73a-4740-a202-9f3ec68ebde3 + true + false + Stream 1 + 1 + true + 88325158-59bf-4c2c-bc69-0d798de17f6c + 1 + + + + + + 5882 + 12526 + 28 + 20 + + + 5897.5 + 12536 + + + + + + + + 2 + Filtered stream + 4ebb94c8-ee9c-49e1-9f2b-d25de3e882c2 + true + false + Stream + S(1) + false + 0 + + + + + + 5940 + 12486 + 27 + 60 + + + 5955 + 12516 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 3dcdc74d-0754-44f4-8ca2-53e9c12b222d + true + Number Slider + + false + 0 + + + + + + 5851 + 12406 + 150 + 20 + + + 5851.294 + 12406.4 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 98616d02-198c-4e07-8bfb-0db902628d0e + true + Panel + + false + 1 + 7ccfe85a-600b-425d-a262-6d8b737e0ff1 + 1 + Double click to edit panel content… + + + + + + 5828 + 13184 + 185 + 271 + + 0 + 0 + 0 + + 5828.365 + 13184.82 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + f1b2d74a-41f2-4126-a4b7-21cf28684074 + true + Bounds + Bounds + + + + + + 5855 + 13131 + 122 + 28 + + + 5919 + 13145 + + + + + + 1 + Numbers to include in Bounds + 203fd579-7096-43f6-aba0-bf8ae8af0c3c + true + Numbers + Numbers + false + b37e1d0b-abaa-4548-a8df-b35440ba7c04 + 1 + + + + + + 5857 + 13133 + 47 + 24 + + + 5882 + 13145 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 7ec45eea-d71b-4e9c-b409-4a968132f79d + true + Domain + Domain + false + 0 + + + + + + 5934 + 13133 + 41 + 24 + + + 5956 + 13145 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0b43c670-fa3c-4718-87ba-1a1a10682542 + true + Expression + Expression + + + + + + 5817 + 13545 + 194 + 28 + + + 5917 + 13559 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 92256dbc-c9c5-4f50-a48f-d0c66586992f + true + Variable O + O + true + b37e1d0b-abaa-4548-a8df-b35440ba7c04 + 1 + + + + + + 5819 + 13547 + 14 + 24 + + + 5827.5 + 13559 + + + + + + + + Result of expression + 7ccfe85a-600b-425d-a262-6d8b737e0ff1 + true + Result + + false + 0 + + + + + + 6000 + 13547 + 9 + 24 + + + 6006 + 13559 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 58f18244-1793-4931-bdd9-44e64541efd5 + true + Expression + Expression + + + + + + 5735 + 13762 + 367 + 28 + + + 5921 + 13776 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + bac985bc-3c64-4e06-9480-82c8a0523b07 + true + Variable O + O + true + 711bca00-e1e4-4e9a-8633-2c096c3a9a2a + 1 + + + + + + 5737 + 13764 + 14 + 24 + + + 5745.5 + 13776 + + + + + + + + Result of expression + 827382bd-5192-4a4f-bf49-71afa26b8ba3 + true + Result + + false + 0 + + + + + + 6091 + 13764 + 9 + 24 + + + 6097 + 13776 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f1dae086-0eb4-42a5-9d3d-6e0209aa7e07 + true + Panel + + false + 0 + 827382bd-5192-4a4f-bf49-71afa26b8ba3 + 1 + Double click to edit panel content… + + + + + + 5828 + 13721 + 179 + 20 + + 0 + 0 + 0 + + 5828.504 + 13721.68 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + 31636796-8e84-41de-9662-aaba74134bca + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + a1530f9c-a537-42de-932e-19c6365e8716 + true + Scale + Scale + + + + + + 5837 + 9919 + 154 + 64 + + + 5921 + 9951 + + + + + + Base geometry + 9f91d827-4ff8-4d9c-87ed-3299940f8322 + true + Geometry + Geometry + true + e654b44d-372f-4d5e-aa76-bc0c6662276d + 1 + + + + + + 5839 + 9921 + 67 + 20 + + + 5882 + 9931 + + + + + + + + Center of scaling + b9efb098-db06-46a9-81ff-b735138bad62 + true + Center + Center + false + 0 + + + + + + 5839 + 9941 + 67 + 20 + + + 5882 + 9951 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 2b2ad2c0-ed7a-4275-9c68-b6506f4ed6b1 + 1/X + true + Factor + Factor + false + d2bb97e6-5e05-41ee-8886-54d3eb49ff8c + 1 + + + + + + 5839 + 9961 + 67 + 20 + + + 5882 + 9971 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 0f759aa6-ce3f-448b-b4aa-05ccd2e50bc4 + true + Geometry + Geometry + false + 0 + + + + + + 5936 + 9921 + 53 + 30 + + + 5964 + 9936 + + + + + + + + Transformation data + 20c9778a-6e8e-4dc4-bd49-ac798684af92 + true + Transform + Transform + false + 0 + + + + + + 5936 + 9951 + 53 + 30 + + + 5964 + 9966 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + fc6414a0-9bee-48ef-aa06-3637587227ea + true + Point + Point + false + 0f759aa6-ce3f-448b-b4aa-05ccd2e50bc4 + 1 + + + + + + 5892 + 9886 + 50 + 24 + + + 5917.654 + 9898.212 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + d527a055-9671-4265-bd48-d0ac4b70ce06 + true + Mirror + Mirror + + + + + + 5842 + 9306 + 138 + 44 + + + 5910 + 9328 + + + + + + Base geometry + 437cf461-dac3-43ce-a5ee-5321ee330926 + true + Geometry + Geometry + true + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + + + + + + 5844 + 9308 + 51 + 20 + + + 5871 + 9318 + + + + + + + + Mirror plane + 61efaebb-c222-41ae-b6d2-cb5b2f30a1dd + true + Plane + Plane + false + 0 + + + + + + 5844 + 9328 + 51 + 20 + + + 5871 + 9338 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 820bf723-8b75-476a-99b0-8ae39d7e8184 + true + Geometry + Geometry + false + 0 + + + + + + 5925 + 9308 + 53 + 20 + + + 5953 + 9318 + + + + + + + + Transformation data + 223be809-c43f-4a8a-b19e-f7f9db070157 + true + Transform + Transform + false + 0 + + + + + + 5925 + 9328 + 53 + 20 + + + 5953 + 9338 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 60ea54e2-64fe-495f-8b22-913d5a6247ca + true + Curve + Curve + false + d81a4267-c3c4-4a5b-9a89-5db64d2729ec + 1 + + + + + + 5891 + 9205 + 50 + 24 + + + 5916.904 + 9217.064 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a2ddecae-b510-4bde-a13c-a6778c2b7983 + true + Relay + + false + ad9ea562-2b39-4919-a30a-f817d04760a4 + 1 + + + + + + 5896 + 13059 + 40 + 16 + + + 5916 + 13067 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + a47a2904-7d1e-48ac-ac00-fdf57bd3ae44 + true + Curve + Curve + false + 3a2182b2-50af-4963-b72c-d9b7f51dec82 + 1 + + + + + + 5462 + 13453 + 50 + 24 + + + 5487.403 + 13465.68 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ad9ea562-2b39-4919-a30a-f817d04760a4 + true + Curve + Curve + false + c373d7cb-7d25-4266-bca1-8980cf577a0f + 1 + + + + + + 5461 + 13163 + 50 + 24 + + + 5486.5 + 13175.83 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 4ae700a5-4c80-4df1-9b07-1f94cf9b3f4b + true + Scale + Scale + + + + + + 5406 + 13198 + 154 + 64 + + + 5490 + 13230 + + + + + + Base geometry + 1b620b1b-2aef-4823-ae56-fe05c8df1615 + true + Geometry + Geometry + true + a47a2904-7d1e-48ac-ac00-fdf57bd3ae44 + 1 + + + + + + 5408 + 13200 + 67 + 20 + + + 5451 + 13210 + + + + + + + + Center of scaling + 365ddd13-d235-4daf-9a15-0251e4d3c1c4 + true + Center + Center + false + 0 + + + + + + 5408 + 13220 + 67 + 20 + + + 5451 + 13230 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + df158a1d-5c5a-457d-902e-0a1d4c23b840 + 2^X + true + Factor + Factor + false + 215ee42c-ec8c-4de7-86f1-4b5a561eba9e + 1 + + + + + + 5408 + 13240 + 67 + 20 + + + 5451 + 13250 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + c373d7cb-7d25-4266-bca1-8980cf577a0f + true + Geometry + Geometry + false + 0 + + + + + + 5505 + 13200 + 53 + 30 + + + 5533 + 13215 + + + + + + + + Transformation data + 08d0ebc7-3a87-4507-8d65-c696cbc636a0 + true + Transform + Transform + false + 0 + + + + + + 5505 + 13230 + 53 + 30 + + + 5533 + 13245 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a47a2904-7d1e-48ac-ac00-fdf57bd3ae44 + ad9ea562-2b39-4919-a30a-f817d04760a4 + 4ae700a5-4c80-4df1-9b07-1f94cf9b3f4b + 27899f96-8899-44d3-a06c-50d23c4c5623 + f06837a3-5d93-4535-83ac-52d284bde62b + 45290006-f0c0-4f96-813c-690f44b1430c + ff38107b-202f-4453-ae39-9a617f4c1117 + 154c95ec-c2f6-42f4-9124-5e47132d09fe + 215ee42c-ec8c-4de7-86f1-4b5a561eba9e + 01b18334-33c4-4ddf-93c5-7139eb31af37 + 57d8cf5a-d653-4aa1-b5d2-37aa860a7191 + 11 + 56d047c6-8c13-4095-a979-5d5173a10ad1 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + f62e3b72-6853-4295-8a24-ca3f671c554d + true + Move + Move + + + + + + 5842 + 9242 + 138 + 44 + + + 5910 + 9264 + + + + + + Base geometry + ca34b43a-f467-4000-974c-f20e3134ea02 + true + Geometry + Geometry + true + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + + + + + + 5844 + 9244 + 51 + 20 + + + 5871 + 9254 + + + + + + + + Translation vector + 2f419528-fc75-4b41-8044-9d0b4f897b11 + true + Motion + Motion + false + 0 + + + + + + 5844 + 9264 + 51 + 20 + + + 5871 + 9274 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 0 + 0 + + + + + + + + + + + + Translated geometry + d81a4267-c3c4-4a5b-9a89-5db64d2729ec + true + Geometry + Geometry + false + 0 + + + + + + 5925 + 9244 + 53 + 20 + + + 5953 + 9254 + + + + + + + + Transformation data + ba1f896c-a4d0-43e1-9bcc-4fc2ccca950e + true + Transform + Transform + false + 0 + + + + + + 5925 + 9264 + 53 + 20 + + + 5953 + 9274 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + f06837a3-5d93-4535-83ac-52d284bde62b + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 5359 + 13410 + 250 + 20 + + + 5359.229 + 13410.06 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 45290006-f0c0-4f96-813c-690f44b1430c + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 5418 + 13288 + 144 + 20 + + 0 + 0 + 0 + + 5418.967 + 13288.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ff38107b-202f-4453-ae39-9a617f4c1117 + true + Curve + Curve + false + 0 + + + + + + 5461 + 13120 + 50 + 24 + + + 5486.5 + 13132.83 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 154c95ec-c2f6-42f4-9124-5e47132d09fe + true + Curve + Curve + false + 0 + + + + + + 5462 + 13590 + 50 + 24 + + + 5487.229 + 13602 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + zNxXWBNr2/jtKCIoKmADK1hBUQFRAduFFTsoFqxgQayAFcRCrGAFK2IDK4hCQu8k9A6hKIhAIl1q6F2+sNb15PL/Pse78229bHg6v5nJTCaTe+6lHovRj8Fg9Ip++uz7GdJf9MuOLUeOWliusDx50tJilvJ2s9NnjlpaLNGeo6k1Z66m1jwd0W80NDRnKa84d+LsudNmSyzMzp09vf/ELGXDcwdOHD243uzCVsvjZhZL5s+fO1dH00xX+6D2/PnztTQk+46i+M+Lz9E3szxpdvb0hTmGlicurDh3+rzZANFKqfP/Hmzw/tMHjxw9b6Z16OQgSyszC4tzpw+cGXBo/9n9fRtJS0v37ztPORUGY67Ix90yQwZJiH4j2/fLtxsMRv9Ou/6MpBv/vqeu3v6Mkfj+BDm5m/R/Z8tzyhhy1/tNFnq2zHToFq1/iNvKDWD8zx8h/Ff6t3P+Z5H8r2009P5VD12DGur1nWCP8n+f4Bh51r7NMjnynD//nuC6sRcU+k4wDreVk8AN+05U4j8f2/+fk/2vff/nDxtfi4smojw0B81DC1ABWoyWouVoJVqF1qB18P++hwa0EW1Cm9EWtBVtQ9vRDrQT7UK70R70D9r7n2un98+vTJTRD5dRRn9cRhkSuIwyBuAyypDEZZQxEJdRhhQuowxpXEYZg3AZZQzGZZQhg8soYwguo4yhuIwyhuEyypDFZZQh9696KBPlogx5XI8yUS7KGI7rUSbKRRkjcD3KRLkoYySuR5koF2WMwvUoE+WijNG4HmWiXJShgOtRJspFGYq4HmWiXJQxBtejTJSLMsbiepSJclHGOFyPMlEuyhiP61EmykUZE3A9ykS5KGMirkeZKBdlKOF6lIlyUYbyvyqjeqgpykTdUC4qQBmTcH9UDzVFmagbykUFKGMy7o/qoaYoE3VDuagAZUzB/VE91BRlom4oFxWgjKm4P6qHmqJM1A3logKUMQ33R/VQU5SJuqFcVIAypuP+qB5qijJRN5SLClCGCu6P6qGmKBN1Q7moAGWo4v6oHmqKMlE3lIsKUMYM3B/VQ01RJuqGclEBypiJ+6N6qCnKRN1QLipAGWq4P6qHmqJM1A3logKUMQv3R/VQU5SJuqFcVIAyZuP+qB5qijJRN5SLClDGHNwf1UNNUSbqhnJRAcpQx/1RPdQUZaJuKBcVoOJJC/nf8wz6Odcy33XMtlX/Ne9QF/IsPvWagIPlJeWC5QqL/9Pn/tMtwfnXiVfMXfPC/9On+I/PDu+1BtexZvlbyrf8j+3t4NaGNzxPt1Pi7Sc+Wy6Z2HsdCjrb3q067STefuo/r2MP02cVVJ9je4u3n5nV6ubTexeSZl3Wnv0uVby9xj+v7whSxzh504KqxNuPs9/2Jq33Ieg660tK1Eov+X+P+xheuIW5Oy1TifhPn/RR/UR071NQUTG35vquEm8/7Z/zcQalk9Un3JceEm8/PWbQwqBeF/DqPGt2seSaePtZ/5znS/i54lOdk+tb8fazf5VIfe19DZrNm3R2nuKKt//3+rjCh/T+hSorCsT9RW/RMV6vGwQtCxs/paRW3Mf+877egso4vcyPSR20/bDUzOTed9DuWd75ukxiqXj7f97ve8iZJ59b6TRE3F0mhOjE9X4AmYTXu75eGSHuI/+5Dh9Bc/rz255uY8T90axPrpzeT1Bjs/jKtz3K4j7on+vjDr3Tezhnjk0V9+uLHg8M7fUAj4PHF6f9URX31ui+6/YZeufYy9spzRH3I+uYJ/17PYEXeEBzxG9Ncf+e2Xc9v4DanuEzNIbNF/elO0/mePd+hb0dEv3KruqI+0dB33X2Aiun3esY+ovFXeLIrkWfe73hwT7l9aoaeuJuWt93/VkgP7x24ZYjy8V9V9iUzEw7NszbrrLELG2luPf753Nhw9OnB14kmuqL+4flLwZk2PmA6pK5L0umrBP3Zbf6Pi8fWBUyw2GC4kZxz0+S00m184V5i+pyLJQMxd1yaN/n6As3hRYf4lI3i3uXof3xJDs/yPAVfI9/YiTuN570fb5+sFnnvtx0m23iLpnX8ybezh9WaEe2PLPeIe5XxvV97v4gMIuYmfZ4p7g37DubFWMXAAdsc4wupe0W953v+u6HAJBS2zjKeNo+cQ8pq5KMsgsECefgQYM3mYq73Iy++yQQUsev6tB02S/uxif260baBUF3v1NfLjcfEPeXrL77JwjYk/Y3rjY9JO7pjbknwuyCYcCOhW4VBWbi3jy/774KhpGXJ9mHHDMX9yEXNrkF24VAt8WiC6MHHxV3hfC++y0E8qS81hiHHaPz7I3NDrALhYTJLxPyrpwQ945lffdhKPx6MTOxYauFuGfcWCTlZxcGrtP0HvyZaCXuzxL67s8wuGpvun7mhFPirj/YdyHbLhzcBA4DZkw7Le6/NvTdt+Fw903KOxXtM+J+zFHVwssuAtLmLJI1Mjr71/3fdz9HQNuf33PzLpwT95kjXd962kXCw0tVrSWe58X98Pa++zwSZo0yWPm+3Frc7Z+P+uZuxwGjBTMHrJh9Qdzv5ffd/xy4v/GBkvCKrbjrDlt9Iwu4YJV43y7350VxH8fq+15w4erIRUOnr7ws7nUG/SZmcriw3tXDRzr4irh7C/u+L1zQON488/s4prjveRgelAFR4DrCvuHNL+rtmn3foyiItBs16ZzXVXG3y7LenM6Jgi3lqnMs7a7R/XC67/sVBROvrLv/fsd1cd88Qqs6FaKh4rKEn+qCG+L+3K/vexcNZ8YXjhg17qa4xxvV3UjhRMNNJ9OpdgNviXtRU4ro+xgNpXIKOy+3U//5+PPEZIgBo5zb06c32It7pFbf9zQGnOWX93MSOoj7zexDwYmcGDjVm7g3s/W2uGuc6fv+xoBnjjubMeCuuIcPV96SALHQm2BuMU/xHn3uvn3f61hYJPdI5rrWfXG33vyzOo4TC+NKWd39tz+g8VAYLPq+x8JB23WByXaO4u7p+OxmLMRB3Y1z222MncT94Zy+cSAO3A7d94xrpm6YtlkphhMHX6x9HuY9eSjuv4/3jQ9xYLlz+upwnUf0fR88NCQK4sHgo0b/SwLqbh5940Y8fG4dyZhy7zFdt9WJW7iceCiqVLANX/RE3FmlH0XjSTxsUrjiaVRP/fS16zWRkAB7JtxLafr0lMY95b5xJgHMnt1S8DjwTNyPRiy9FcFJgLQJvokXJzuLu/OuvvEnARo2GY2xLaf+uK1DKRwSYVac9wpv7+f0vp70jUuJUDVu0LUpF13EvUIjICSUkwiX6j4NK1v/QtyXpD0SjVeJsC4vdcof5Zc0rh61MgqBJPA+y+m60El9gWTfOJYEsiYxvIN5r8Q9x02tNoiTBJFzJxTGh74Wd63FfeNbEqjeld/t/fYNfV655bcCIRneSJTdmHbfVdynn+4b95IhdpxF8sulbuIePOSdcgAnGSb+el3cFkyd4W4nGg+T4Z7SVI+v89+Ke6/e3lA/SIGoqVOCOf7UWfkLReNkCpgtjWAtWPCO5hVnFbf6clJgVujIWQqh1KcN7Rs/U4Bbtj75sN57cS/5mF3LhlTIGnZTRS2J+salPqJxNRWGXC8WHN36Qdz3fX9gz+KkgpLTrceqxdRHWpwQjbepEHT9ccGJ0x/F3Upy3SRvSIOrX9R2Lpb8RPOQVyqicTgNNLad+vTqBfUBWpJhXzlpYJZ+a//jue7irpNULBqf06Dw0AOV6WnUpU24W79AOsw/7Pl01zEPcbdofi0at9NhinLPmgWDP4u7+e2LdZ856WAo8CiK/Eq9dcJO0XieDsebM5o6NnuK+zDfBQ4ekAHjPJ9Mq+2gHrRqpGicz4DhBmPk33z4QvdnXsMkd04GtGgwjYZv+UrP3+MZovE/A2xeV9826O8l7lVXvhdmKfFgYfHlzbsDqCfqrxI9F3jQuGGn/qLj3uJ+UM5/ZpYJD1aquUm3TGGJe1jeZNHzggeFyWfnPuBT57k9tM505YFfeLfGQAO2uLseYYieIzxYsVz1RSiL+jQNy1genwcd4zdNqZD3EfcDbYWi5wsPPpzpffHgHPWtkRvkeUqZMPZkWoZfPvWeG2Gi504maGmsddq5zFfct6yfuS/DJBMiSiS+XPtMfY+8i+h5lAmPvR/UaY7wE/fhuVJf0l0z4UaQ7YxjV6ifeXVe9JzKBLNpO2fOqaZ+bX9ZWxo/E4YqhXGYO/3pOTt9q+j5lQkbUjSDDyVRf1oVvTJNKQvaDDcVFywMEPcX3pqi51oWFH9/O6TGi/qS024PU02yQHA9QvLp5EBxvzVfVvS8y4LYK3Nf5T+nfrL9clGKaxaY1j18w5ELEndhaI3oOZgFDh0nfq6+Q13u8m61FH4WyCZsnXRGMpjuh6XJoudjFsRdzl+qf426IkPXJlkpGy6vdOwfzwgR926uu+i5mQ1Dlg9Y1Mikfv7q6Lgkk2xY+jo5ML1/KD33l90UPU+zoe7SmZX7blEf1a9ZPsk1G4qlnHzfy4SJ+2LuAdFzNhtaDvlkvH1E/feVzH2J/GxoDD1ybPe4cHGftERP9PzNhq8a+puzP1Lnd3p/SVDKgZaawi1D5kaI+/jgCaLncg68Gh25ZBCXetHZe+3xJjlglWMjSDWIFPcJml2i53UOLN/oOmjXL+o/ao6uinfNgTL3aHu/sxxxl/XIEz3Hc+CRZOjIugFcmg8c0H8Ux8+Byk3v9h03pC4YHyh6vufAnphi6exX1M99n8qPVfoGxq0xttOrqF9wfCx67n+DpRcfjDPXiRL3av3+s2JNvoFt2Z0tz+ypJ/VaieYD3+BUYj/7gFzqw4L4NjGu3+BO0CLleNVoeo6c3CSaJ3yDWauv3kyypR47JSIumv8NIqXGTYxKoz73h5po/vANPjlu3uw9KUbcu+6/GB6t9B3Wnzp569F56pOWDxLNK77DSL2gqZap1F1arE2iTL6DmaP141VTYmle7VEumm98h3eNrboKF6nf37XtK9f1O+j2XLYry6beLRMrmod8B4fl21J8ZseJe0j43A4O/zu0b4u7cdmBeviJt6L5yXeoSR49Yl0p9cHj5VZzlHIhbd6jQsVl8eL+LPmKaN6SC93Tmeur31A/aFP7KNIkFwTzZsRG91C3nLZHNJ8R9YZv3m57E8TdJzOZH+GaC8YN6advRVJXu6wrmufkQkj8Hutzyoni/l3FY1YEPxf2SiZOsbxO3TdztGj+kwveejv5Zyuoh9nevBCulAcyQ3bKO2xIonn+5GbRvCgPfnbKTvL0pa6XfCA+zCQPrrvFnysYk0zXxypTNF/KA1OnuPPK16gbjdYbEeaaB0V7t921rqYuGeYtmkflwfZXkWNLtqWIe8a+Caah/DyYz19771AUdZ9+90Tzqzz4FgL6PbNTxf3N+86vIUo/4DWn0tf7JfUXK4+K5l0/oPb6/QW2g9PE/W1pbkewyQ+Y+eK87n5b6t7XV4vmYz+A/bRmslk19bBJAauDXX9A2SCdXfZ708U9LnKKaJ72A2bdebs6iUc9bdejx0H8HyD4fMpg1qoMGj9bGKL52w843C386RNKPcjRUhColA9Og/0/eynyaL6qWiSa1+WDf4zjsKdbqZtwN8wONMmHLU3qPNmH1IfuCBPN9/JhXInOu4np1N/VzLANcM2H0IJNOtEymeI+4upz0TwwH4pnjF7dtZb6vpFSCf78fFg+Ussu2YH6tU/nRPPDfLhbttZZI5H6Oe3SEf5KP+FYxZ9lc6SzxF07YYto3vgTHh5snRu7hnrctihTP5Of8OV9zoSm29RHlqiL5pM/4XjDksCwFOqzLN94+br+hMvPvrMmDssW9/aOIaJ55k9wKlgeOX4z9avXL3b68H/CtqEqTwOfUOfIVInmnz/h/GmVypo86l8eGev7KBWA+7bKY9wJOXSfKyaI5qUF8JAxLFPzIPUrr+Y/YZsUQGn44vRln6nvUfogmq8WwIYcxdEN9dTz3Yb/YrkWwGWn1Xv0tL+Je43yVdE8tgDGLjq2VcOO+hPX+tksfgHkT1D1jUqgnjx+n2h+WwDm16bOaJH7Lu53nqfaeisVwjFfiZMpu6inD18kmvcWgnPbUc1VH6k/vfs5wcukEJ687JpxUEg9r7+iaD5cCCMr9wyevjhX3O/Z3Brp5VoIYdPn3nrgQD2opjn0K6cQlrxV2vz6G/U1Jgf3f+UXwsq3SRONpuSJ+2pepmj+XAi2Vjnv2KeovwU97y9KReBgXOoUyKW+z8tbNK8ugpnvX78yk/sh7ifGTOjyNCmCHy4fLkSaUs+6flc03y6C8luvf0b5UL9S06Hv6VoEb3xmnbeSyKfno9ER0Ty8COxOtHYnb6POCv7+5DO/CAwEb6ZkeVBXGb9KND8vgpOZya9vdVPPuuz3y0OJDw6c8Uq/DX/SeFU4STRv58OLt7C78yP10EVOczxM+NDve6RkWBf1385/ctzt+LDy08sstS0FNG9sPHHR3ZUPBfpKZzd+pv5+3U/RPJ8PB7f1vFPuVyjuU96uTfzE50NxZVvvx53U1W5U/upq5oPUWSuJSU+p72sJEv13AR9e62426valLm11Z1yvXX/mf5b/D/1DiP/+i49/j4QqoxqoHmqImqJWKBN1Qt1QNspFeagAFf7n+Jp4fFQZ1UD1UEPUFLVCmagT6oayUS7KQwWoEGXMxeOjyqgGqocaoqaoFcpEnVA3lI1yUR4qQIUoQwuPjyqjGqgeaoiaolYoE3VC3VA2ykV5qAAVoox5eHxUGdVA9VBD1BS1QpmoE+qGslEuykMFqBBlzMfjo8qoBqqHGqKmqBXKRJ1QN5SNclEeKkCFKGMBHh9VRjVQPdQQNUWtUCbqhLqhbJSL8lABKkQZ2nh8VBnVQPVQQ9QUtUKZqBPqhrJRLspDBagQZejg8VFlVAPVQw1RU9QKZaJOqBvKRrkoDxWgQpShi8dHlVENVA81RE1RK5SJOqFuKBvlojxUgApRxkI8PqqMaqB6qCFqilqhTNQJdUPZKBfloQJUiDIW4fFRZVQD1UMNUVPUCmWiTqgbyka5KA8VoEKUsRiPjyqjGqgeaoiaolYoE3VC3VA2ykV5qAAVoowleHxUGdVA9VBD1BS1QpmoE+qGslEuykMFqBBlLMXjo8qoBqqHGqKmqBXKRJ1QN5SNclEeKkCFKAPw+KgyqoHqoYaoKWqFMlEn1A1lo1yUhwpQISr+V5tk3zzjf5vY6PvFXFaVFIB6r+b7XB71aVMfD86WFcDOO4v5SUOK6A+sNiQXZikJYM3zW/uPmFNPONPPJ0tdAH/UauVDoqmPf6FzIwsEcFDN2yBsIl/cT3Esd2QZCCCha9QBi4vU40s+zcwyEcAT85/PMvOoj5Mq6sm0FMCnR3/Gnx4nEPeTM0ZlZtoJQK26LSVrHfXIdRs+ZDoKoGzZjSt3bKkPOn7dOtNVAN+2Z+U/96S+5U7oukyWAKoSZO178qk/9WiYkMkRwAPmsRnBMr/EPSdOtYGXIYDXO+SOJC6mPqjYJJbHF8DKGeq/Z1tQX9zzzJlXL4CLvOYtla7UDymkH+P1CmCzquP6tkzqtzQkl/Jkf4HEkFkXdg0oFveXaxbL85R+wYPtHVfltal/MTlTmqH+C6Bk6pDxx6h7nfMMyoBfMPp+QcSF19Q97vy6k2HwC1aqb1oyM5P60zeK+zJMfkHVB3eN2ZIl4m7tY6CZYfkLRiWNXnpNl/rGmFsDMux+wQDrJJkZFtRH50Tkpjv+gvjbtTDpPfXskmbPdNdfcKuAzTyWR53ZqHYlnfULdq1bdnbAsFJxn8w4uDmd8wvOe6dy61ZQ9x/yYmp6xi+oKGEOmWFLXVsxsy2N/wsK4+72+LKpf5ksnZJW/wss1MctvFdBXX4WvEnrFZ1n154j/hPLxN183vlTabLFMHig3Ry17dS/LvJamaZUDJtmsOYK71PnLytVSFMvBrbeuHES8dQH6o+rToViOKPScP/gH+pj1m+JTDUohgfB+zTltcvFfcKm2w9TTYoBMh5+kbGiPsyQeyjVshherw5+t+Uz9VrDNu1Uu2LI6OgNLyumHmE4RybVsRjaY565xY6vEPeLBmZFKa7FoM30bKrbTl1l4yufFFYxeA06uufQQ+rRa7NvpHCK4c4ixtWpqdTXrhpsnJJRDJnC11LqUpX0BwuwTC2FXwzhA6yeXV9OfaquzZ/k+mI4veVD9qQr1K01WZnJvaLrHHDEbFAo9SDV8g/JsiXwTqq6QbeVevnECTbJSiVweNpOJb+5v8VdYuTW9cnqJXDmt+DxWUvqw6TvTkyGEmiaw265/JW6dFdUQ5JBCfTPbK5K/01dWNMem2RSAsmeBWPMVapofCtUf55kWQKmzk9VV5tRv5N2+HiSXQnUnNoYcfw9db3w10uTHEvg06i5V3J/US/5nCOf5FoCTntPyd9WrqY/OHomU5bIKoFfU3UnME2ot15dHpzIKQH26iD98DfUj564cDcxowTmvxmjvaSIesI29r5EfgmcHvjgYf+JNeI+dmmFZmJ9CXjtWt4js4/6nmkTJRN7S6D53CHlnW+oO8psy0uQLYUzWpPf/i6i7iO8+yVBqRT0LD5Pi1CqpePmRF9JUC+FR/1Ut2abUk8N6ticAKVwMTElS+0d9XgXjWkJBqUw5020fnwJdR9b8/Z4k1KI3btw57tpdeJ+f9eblHjLUthRbOrFMaduqvvtTbxdKcyQOlQ1wZP6VIUhp+MdRefpfiowvIZ6YdPyVfGupZD+OijopXq9uN/OuKAYzyqF+riDT0JPU5/tya6O45TCt873jYqB1OOuV0TGZZTCc4VPNoEd1Dfvmfgojl8Knl3rDydNFIp7rtY2s7j6UngbapT8XY/61sH3dOJ6S2HxgquLJA5ST+BHy8TJloHsnup7m25S1/LvKIpVKgOvMZ8fBrtTf26v4RurXgYf9mSOX5ZMvW2n+c1YKIO7wy/2q6yhbqj2xjjWoAyaVCOGe8k20B+kdOWoxZqUwcn73lOc5lJvSJbpjbEsA4fZh6UebqO+2GV5VoxdGRS1djqxbKjfOHzhY4xjGfR8v/64+iX1pLlsmxjXMjgXplC8kkN96J/y9TGsMih4mGYQVkzdIHGCUgynDLj64axNAxvF/eHDrY3RGWUQnNyZ82cG9Zydd+Oi+WWwXdrtUcpG6qMnRT+Pri+D6XXRYf6nqO+paD8e3VsGCUdtp4Q+pf7xqzpEy5ZD1JHCVz9DqDdYHR4erVQOHnn9uxSLqK+Y97osSr0cRrj3kz/dv4k+l9bs4CgoB6cooU/5dOotQYPvRRmUg9+oCvb59dR32iwziTIpB/mHXYJJVtRjtW3mRlmWg86kVaMqn1DXafWWjLIrB45fvnJSCPVAv7I8rmM5zF+Q/T22iPpSq/Ffua7loP5s1eCfEs3inqVmZMdllQNErXkgM4P6mfLbW7iccmj/0DR/+ybqU9y407gZ5dA4Z29O6BnqfOO2dg5f9L42vFqs60LdW25OKqe+HAqqE5ZlRlK/k3DIldNbDs0drYHXSqnbXn55miNbAc8P6VluHNwi7pfmZq3iKFXAtjFhSzQ1qDuVS4/hqFdAhOSVltnbqYe6QE0kVMBhBbejKy5R71p/nhNpUAHli3ROnnpH3bDn66NIkwqIN92bHZRIPcqrxCzSsgI+nZluObqe+pq9Y3Uj7Spg2AHPEfdHtYp7lczmIZGOFeA8hvFk3GLqHiH2/AjXCsi0XxoTdYD6jcORvhEs0ft6cems3W3ql4a33IzgVABraabtVjb1xxFqOyMyKuD8AaPPernUk8wPzIrgV8DipjHZK/5QnyLv0hteXwHPihal7J3WJu6vQzKywnsrYPRw3qEHG6gv2T/wU7hsJRhcrD397Qx1hvSSC+FKlfBN6kvi3JfUq73ObAhXr4SlH5V0P0VT79riqRQOlTB62QFn9Srq2m2CxjCDSuhIvB2YLt9O89sXCvFhJpVwdqbX0eu61Gcu2eQSZlkJE41Krm/cT7286MaJMLtKuK2xIm/Wbeo8uzAIc6yEtewS3Uk+1KuUGoeHuVZCM+fnxZk/qGtxVMtDWZWgsHH5qTX9OsSdtdckJJRTCRtXzam1nUF9X9fTe6EZlTD9WWB01Gbqy5+nmoTyK2H+7MbY8bbUd8+T0AqtrwS59rb4u++oe2XoDgztFZ1nadHLYSnUtY9Z/QiR/Q3n+BGjPzZR75Jw/xqi9BtUcr8MNhjfKe7drwrtQtR/gzCYs27IKuo680cahcBvOHpazrPgJHX/1HXTQwx+w9QG/y7OM+pWB692BJv8Br/JscMDOdRPdASlBlv+hi/NW6MjK6l/fVDnGmz3G1y3Xin8Id8l7hpTpp0JdvwN0zV2aEstot4ZuHt1sOtvyDzb+m71IeqD1z0aE8z6DVpyZ5qc71M/VJBYE8T5DeX1JV2dgdQHWfRygjJ+g3U/U0dLAfWOP/MfB/F/w5W5f5gtg7rpejqeOBxU/xvuWn17f0+LeszE97pBvb9B+3N38ry91N28fgwJkq2CEcl3kmpvUc9YJCcIVKqCAO6z00Fs6luSVvsFqlcB21bb5WE+ddXtl28FQhU8L7sud2lAj7jvKPbbGWhQBRL1j76cn0O96GTVrECTKrh+4+KSq8bUOe3KjEDLKvB+vNXl5TXqndd2ZAfYVcHIwfMfxX2l/mTIg08BjlWw6ZtW15/v1O8+jb0Q4FoF9cXm7vr9/oh76YSuDQGsKrinXHnUVY36m4+aygEc0fu9mDJq4HbqEbOONPlnVIFUseqVi0zqy/zexPvzq2DoMoXzvZ7U1XS/ufjXV8GBW168h9+oX4mUOenfWwXPXPvvn8voFfdFK5br+ctWg57t7E7BTOpmCTYj/JWqoVlileXrbdS717HK/dSrYfVM08fmTOoS6WUhflANyflPdeEL9YuG4+/7GVTDKImeeVO/Uz+UtcXUz6Qa9q3ZPusugyH++5hYo9tafpbV4BlcGDZ4NPUXOZyBfnbVoL3WzddJjXrF1tYfvo7VkGU1o3P8MupeObO8fF2rYfmnAZdY26nXGx1k+rKqYZtpxKQ1J6izslyMfDnVkD2Kn1N+lXqdIW+6b0Y13FrScuWu81+vnz6w04dfDQs33R20wOuv11+/JM2nvhpCImftK4+mHpB4xs2ntxpSJM0Ov8qj3m+V5xkf2RpY8oIjY1xH/TtXsNpHqQZ+NCZojxnQT9znLVYY66NeA0dvDcrhj6E+IWhjLRtqIDBFNvmLOvVHmje4bIMauKd7WOLyKurPv4Q+ZpuItl/9/KjRburq0xoOsy1roPuoZvmcU9R3vFFZyLarAbWxEQdk7amPUtg3lO1YAzLp8YnNr6gfdXwiYLnWgHn3j358X+pbpVL8WKwaGDL+WltaIvX8K/3sWZwa4L5f9ziqiHp3i/YuVkYNbB7MiQxpph52wmI2i18Dt+OPHQwc3F/cx5R8YLDqa0DT4MexIGXqY3f+zPburYER455Fhi+gHpku7+4tWwvdbrPWxG+gPnDlGltvpVoI2KHakH2AekvwlY3e6rUgFTjyfZkN9QezA5S9oRa4cy/rdz2gnvm2usnLoBbcV9YmjPxIPWrU5AQvk1pwOCAcOjeMuslt4xdelrUwR2K4hFEmde/uBye97Grh4OtCJ+sK6izLOD0vx1podC9yc+2hfqi4a4SXay28d3EbnzJCQtwzts6t+MqqhZW/vWs7ZlBvjD8S+pVTC6+GPu1R0/trex3X+18zauHC5aL5+7dTP+L5zfQrvxY+sEYzXU5Q54wbMu9rfS1UjE2Ky7lG/du95VJfe2th6IKrwuEu1L16bPK/yNbBL+vk30Ys6mssWF5flOpg1g6Nl85x1D8XlTG/qNdB+LqldYU/qWduGr/1C9SBUZJd6vRG6tGRW1S+GNRBzlqm0mnpAeJ+Zc7tTk+TOvBfnsLjTKQu9YaT5mlZB91qNUmy86mbDm1187Srg1xri+b966nfuTTrrKdjHeh7F+oG7qduX31A39O1DvIl464PsaFuvMtlrCerDsaWscMOPaDem5hR+5lTB4NWzkiJ/ED9qvbAqM8ZdVDwIf7l2DDqBR8XP/nMr4MLGSWjbTKpjxp5xvxzfR1kVUVNz62gPuva54Wfe+ugbfdqX+0/1KcI+UM/y9bDBQ3+V5eRknQ+e0f/8lCqh9inWj+7Z1IPTNng76FeD1sfXmbvX0bdRve6vQfUw12P0yPjd1Bf4B6yy8OgHkpC457NtKDeMlI428OkHobFtcg53qAecG16Pw/LekhpNrrf9IL6GeGeHHe7ejjzbPwgYx/qc/c9dnd3rIfv64beDE+g3pCSZOvuWg/my5sYk4qos3UZm9xZ9XB9bMGlm83ULd0XTHLn1MPK2bHtvwcPpPFw1MnmTxn1UHH269lNk6jXXnuf8IlfD3u9nwh9tal/Ff548am+Hj5UXzqhsIn61VIPlc2d9RA34uRIyb3Uj++Ts/jUWw81KmaVFw9RLyhYVPh/9B9C/PdffPyDNCqHKqLKqCqqgeqgeuga1BA1Rk3RI6gVaoMyUQfUCX2OuqEeKBsNRrloIspD81ABWokK0fb/vP9l/yqNyqGKqDKqimqgOqgeugY1RI1RU/QIaoXaoEzUAXVCn6NuqAfKRoNRLpqI8tA8VIBWokK0HWUs/1dpVA5VRJVRVVQD1UH10DWoIWqMmqJHUCvUBmWiDqgT+hx1Qz1QNhqMctFElIfmoQK0EhWi7Shjxb9Ko3KoIqqMqqIaqA6qh65BDVFj1BQ9glqhNigTdUCd0OeoG+qBstFglIsmojw0DxWglagQbUcZK/9VGpVDFVFlVBXVQHVQPXQNaogao6boEdQKtUGZqAPqhD5H3VAPlI0Go1w0EeWheagArUSFaDvKWPWv0qgcqogqo6qoBqqD6qFrUEPUGDVFj6BWqA3KRB1QJ/Q56oZ6oGw0GOWiiSgPzUMFaCUqRNtRxup/lUblUEVUGVVFNVAdVA9dgxqixqgpegS1Qm1QJuqAOqHPUTfUA2WjwSgXTUR5aB4qQCtRIdqOMvT/VRqVQxVRZVQV1UB1UD10DWqIGqOm6BHUCrVBmagD6oQ+R91QD5SNBqNcNBHloXmoAK1EhWg7Kv7fVpF984z/bWIzs2ZR/uX+Qhi+eG9443Hqow6/V86WEoLWoY2HBLbUm18tHZwtKwTbt/MFKx9Sz8n+0ZSlIISG/Al7PrtT9xt8rjBLSQiPJw/MGxpJ/fEyuYQsFSFsnV9ndDqH+mmbL+wsdSGcGpqb8b2K+mbW6hdZ2kLoJxmxflE/KXHXLP91PQuEcCjEK8FVgbrchMsns/SFMHT3+RUD5lBvMFLckWUghKQ7OZwjK6nz7vjpZe0QQvOTAQvTdlFnRW2amWUihA3uO8I1T1F3av89IstcCNcjNyg/s6d+XP1mT6alEEaGPmvpfE1952HlikxrIexTqp6yz5/6ttdhvEw7IQiark/kJlPfn7M9NNNeCJJm0p7Kv6hflml8n+koBBNmeYhdG3XP5ffvZzoLodtTYn7hUGlxr7mgap3pKoR0mbeSulOpg0+Maaa7ECKOjRn1eCF1j8p96zJZQuhZK7mx2pD6dOVOrcwgITi9rXm2zJx62I6nEzI5os8lb3fB08vUzR01pDIThFAwpWhg5WPqsxJShLwMIUwZ2tur7Ul9cO/hfF6uECQGrvO5yaUuod0/lscXwo1b6wZkfqeuYPnai1chhPGS94rH1FLXd9dx5tUL4Uu7y3xTiUHi/oSfzeS1CaEtt7f8/Rjq/RQtj/F6hZA8Zq2gVJ36PcPBW3lSDSCc109mymrqOrc/LuHJNoCWm5/hvj3UJaL1VHgKDWCSVf3i2WnqjZ0/5XhKDbBo+fzsFAfqA+ZZd2aoNMCTw+NKet5Q1z05vDRDvQHmB87wnxVA/fEnr7QM7QYod69WN06hPlKwJigDGuCsbw0wf1EPG1PqlqHfAJ83BKd9aKN+18juToZBAxjU/oiOGzpY3K/dH3s2Y0cDaMgUSpdMof4+IWBvhkkDKEzYeLtbl3pDv836GeYNwHMJmD3ckPqRxTUaGZYNMLn9LX/KYepDrO3HZlg3wE/v1w6al6gX+UwekGHXALHz5g1f9OivXhNRm27fAO6MBjM9D+rDVHfmpjs2wKbbJieXRVI/ebCZm+7cALdWyQxfmkP9zxtHz3RX0fl/tVuyoIp6VP7MJ+nuDZCitebHDIaMuAeNjr+czmoAKyNhuuJo6oIt+83Tgxog7aqEtMQs6nqO3YbpnAb4On+oReUy6tkpzgvTExqgoOx5VeIO6q7SWlPTM0TXZ9Bc8w8nqb9blT40PbcB1o8+lGZ7nXrhtaNtafwGmHQjdOAGF+qbuQN+pVU0gEUSt1uBRZ3xxzU5rb4B/uzp71IUS71q0SL/tLYGeBEwOM41n7q87ffXab0NMGSd2bHdQupng0/Zp0k1gtLD16flBw6h+61tyKk02UZ43Q8SosZRb5nvsStNoRE2D/+2+YTmX9ufW7EyTakRBiys7pLTp37Gv2h2mkojXKsfwmLtoT6q+YJCmnojPP0ct3XNaertWqP6pWk3giTf7Xu+PfWJZ9lVqdAIbgNnTjR/Tf22//qcVP1GmO1cM7LWl7puS3lEqkEjXJA6++FEIvXZC665p+5ohI3p6wPLCqkftZ7wMNWkEU4f6NUybqJeGxxsm2reCP4Lx0rFSg8V95BOo0Oplo1QmKYyZsZE6mmL6zemWjdC0CM/I3st6rPs7min2jXCEMZat6I11L9FTZuUat8In+6dqZyzj3rygKjBqY6i68yKHGVzhvrQNXuaU5wbIbsoQD7Ugfqru22FKa6N0POwNK75NfULGY8SUtwb4SF8H6fqR/3jiDk+KaxGMN03uscokfok46QXKUGNoGGmYWRTSL3u1aEbKZxGSEtmST1tpC5T3HsyJaERGAOVB3hKDRP3Syovd6RkNMKz+0PmBo2nrndywbKU3EbYnse4GK5JfYdf5swUfiPI7HVIDFlNPbrjxMiUikawezRnAGs39et60n+S6xvhcv0VhVdW1F/av69IbmuE9KoBNcyb1AdnLM1M7m2ExV3rj+99QT1jdH5oslQTPHLmX9FkUa/bd+5DsmwTuCxYL9cTQ93cXe5BskITjDcYO4ibR11X+MU6WakJynbkbbGtpX5YV39/skoTRCbI5ar1l6XXv1a8Llm9CSxGGdjljKaelXp5XrJ2E8QGTZx/Vo36aIUxE5OhCRymyRQP1qMesN9fKlm/Ca59c7V8vpW631eDhiSDJriy9EjC+KPU5dur8pN2NMGq3Pos58vU01fcik0yaYL3o6MvDnr013k6TvJOMm8CkzPHvpz6RP1kQbhzkmUTrDx0dj0vlLrhDOOrSdZNMMH0+KppGdSfnm86lmTXBH6F+desSqgviX2wNcm+CTKMNtX6tFFfO3zm0iTHJnjzSjWoWVJO3CNM41SSnJvgwLUgaxk56k9YpvJJrk3w/NmY2RPGUs/809WZ6N4En56MTJ0xlfr5Tc6liawmqNO2WKs5h/r1N3PTE4OaIH9RjYuWDvX2urSgRE4TJO3e6quxnPo3OPo2MaEJphqdsFfdQH3iwwF3EzOaYFNhx9Bx26nzil3PJuY2gVdA9EJpU+q18xbtS+Q3gbvzvf7Co3+dp/13/cSKJni1dMKurDPUj+ef0kysb4JWs4ULWJepp84eOi6xrQkUkz7fvWVP/dVVjwGJvU1weIqmgfFD6j++rahLkGqG1RrPzk19Sf3WTH5ugmwzjP/ypqnqA/V3drZRCQrNYGAgF/nFm/qcb6O+JCg1g14eO+lwMPUZaj5PElSaYUe/1TLjo6k7X91wJUG9GdpvPrVOSfnr/eZVmCdoN8OtSWYS575RT1C/vjkBmuGIo+17RT71u/YTFyXoN4PE3ZcbAiupx/BDpiYYNENoxv2mjY3UT+psG5awoxkaFRXu87uoP3gobIs3aYbhk3uGHpeUF/cp1Xd/xZs3w6VPkseFw6jPXqWSEm/ZDM77W59bKlL3do32j7duhvhhT+9VTqL+qXPvm3i7ZrA86r5wtxr1kds77OPtm6F5VpNzwjzqXT5PTsU7NgNn5FKX2Uup7xymsTveuRnUCzZq3denrnk8ZWW8azN4L63cVW5I/Wri4Tnx7s3wqi1rgO4u6hum91eMZzWDSXT2tJsHqTvdeN0vPkjUd7F9k09QNyjRqY7jNEO37Ry3Qeep316ekxOX0Ayv+SNKltlRX/rOMjIuoxncV0y3OuNA/VR/GY+43GawO6C2+M1D6koHPz2M4zeDQ1vlougX1NfGLrsYV9EMKpFTD/HfU2+cVngorr4Zok99+NzylfoYB5tNcW3NEJY2u59kIPWIqhE6cb3NYHv/lslQDnXBRtakOKkWOHjibMiwROrXfNbJxMm2wPdpERKDMqm/H1XeHKvQAkvPTdfq/kF9pe3VolilFugedX5xZTF1M/74xFiVFjgXc2pkWjX1gauCfWLVW2CYLp/l2Uxd9YvRy1jtFpg194bE1R7qafL1N2KhBeYdmz7AcOBwug42dyxi9Vvg9qu7nxRkqbsIphnHGrTAwxsX+LkK1GPWRC2L3dECrMKA907K1K189qjFmrTA2oMDK5fNoO42tn1krHkLxPA03lZrUt984/GfGMsW0X+LdMbcX0jdvm5OZYx1C1QazlyluoL6sp3JmTF2LbAn/8aYsPXU7WLNwmLsW2CFLm/+6q3Ul2v0+xjj2AL9ZmQ9SNpD/farVw9inFug/ZDhmFVm1LcN0rGJcRW9Xw+55OCT1D+dz94f494Cc1h5T6eep3651GJ9DKsF5s6zOOVwhfqPLYPnxwS1wICmZ5tLb1EPi/o4MYbTAgPdFdV0HKlP01wmHZPQAm9lQhqvO1Mf/ragITqjBbQKlrxOcKXuIG/zMzq3BabnnFCS8KB+89qIuGh+CxR4y1gsYFOXbvb2jq5ogRAVweX9wX+9/uF1z6PrW2BKJ2vFDS71D3llV6PbWuDyLz3/N4nUI9ZfPR7d2wKzXYxj2Tzq+zjjt0VLtcKzgvAjoXl/nadW8NJo2VaYYK71LExAXdvDSDVaoRWmNV9d5l/51/0zoV4+WqkVRoOFyQchdc3Hd7qiVFrBQCKy9G479QuDppdFqbeCbveC+GOMEeK+nhmVHqXdCtplb9r1pKl/atsTHAWt4H0hzGqYHHUHy/a3Ufqt0Ht2y5RsBeqNFY/vRhm0wqNHMyQdlahXmKqfi9rRCin3B8osV6F+KD95X5RJKwybzJpRM4f60a2H10SZt0LE4N/b7i+g3p7eb26UZSuAhO2NaUupy617PS7KuhXa4lU8/VdRZ8XpSEbZtcI6+eCwhRup/1iWU8e1b4XXr4VeQVup34u0zOM6tsI2Fedzanuoxy+SieY6t0LW0VNSzw5SvxPy6QvXtRVslVcZtx2jnqe9/CnXvRUCB+btMThN3Tuw8AqX1QplufWD3lygPnTBhSPcoFY4abBlawmTenPAyC1cTiv4qsZpKDn8dd0WsBdxE1pBUWnYk82O1PcGrZ/GzWiFAXWNp22fUS/SqRjGzW2FfEPdaJfX1CtDr7Vz+K3Q09/9POsD9YtLJhZzKlrhO6ffzbAv1J9yQ1I49a0QvVy2OMKXus7KbQGctlaYqf/0WmAI9QOJwjec3lY447Bz90cu9VEb7zlwpNrgT9Sk/XcSqBtkqZzmyLaBBsvPwSydurxxzG6OQhtYynyLX/CN+q6ifas4Sm0w4dF6uT8/qauZdc7hqLSB25+CnWHF1K/VPFXkqLfBriEGzy1+Uzc9q9mfo90GfufNuQpC6nHdqdWR0AYyHdXxga1/3Vc3j3yL1G+D5E3v3Nb3UJ8kO4ATadAGm7QMl3+XGCnuCi6uHpE72kDiQJjb9sHUn05Z9CjSpA3WPvvMTpX7q3t/vxhp3gbX7woO6yhQn7jwtFmkZRuM6ZkW7DKBumr8UINI6zY4/glchFOoh2z5rBNp1wbFy5v+LJ5JPY2/cnKkfRsU3B9YdEWDuvlJgUykYxvELAe1wAXUr3ZdbIlwboOO8Qd/Fi+mrnxHgR/h2gb5udolA1ZQXz7GLzHCvQ3q5lzXHr+WernHJt8IVhsMLxycpmpAfYhu1cuIoDZguT55PnMbdf+kmzcjOG1gP7P8waTd1It2TbKMSGgD521xH4bup+5QE24ckdEGZ061pdcdpu53xXh5RG4bqCeu6B93gvpe+Wa1CH4bzF91TMvpNHX7D46jIiraYNa21TsMbahr6qj1hte3gXnkhgOSV6jvTI2vDG9rg9Ump9axrlNPuDFHfXhPG7RLzbWwsKc+cv+BrPDeNtgyUmPKhtvUN6/lsP+P/kOI//6Lj3+QRuVQRVQZVUU1UB1UD12DGqLGqCl6BLVCbVAm6oA6oc9RN9QDZaPBKBdNRHloHipAK1Eh2v6f97/2X6VROVQRVUZVUQ1UB9VD16CGqDFqih5BrVAblIk6oE7oc9QN9UDZaDDKRRNRHpqHCtBKVIi2o4x1/yqNyqGKqDKqimqgOqgeugY1RI1RU/QIaoXaoEzUAXVCn6NuqAfKRoNRLpqI8tA8VIBWokK0HWWs/1dpVA5VRJVRVVQD1UH10DWoIWqMmqJHUCvUBmWiDqgT+hx1Qz1QNhqMctFElIfmoQK0EhWi7Shjw79Ko3KoIqqMqqIaqA6qh65BDVFj1BQ9glqhNigTdUCd0OeoG+qBstFglIsmojw0DxWglagQbUcZG/9VGpVDFVFlVBXVQHVQPXQNaogao6boEdQKtUGZqAPqhD5H3VAPlI0Go1w0EeWheagArUSFaDvK2PSv0qgcqogqo6qoBqqD6qFrUEPUGDVFj6BWqA3KRB1QJ/Q56oZ6oGw0GOWiiSgPzUMFaCUqRNtRhsG/SqNyqCKqjKqiGqgOqoeuQQ1RY9QUPYJaoTYoE3VAndDnqBvqgbLRYJSLJqI8NA8VoJWoEG1HGYb/Zd8843+b2JgueXbOvH87fFGekzfjLvXJrT1h4VLtsO+zmcOvB9Sj77p8DJdth6db5hcdfUK9cNJ8x3CFdrDQmiJf4UL9VDDPJlypHRxOLlLb6Ur9ksGJA+Eq7XBv4SAd7gfqveVSG8LV2yFrts/y8Z7UW6+8nx+u3Q5Nu89sP8mivl8BlMKhHXJsHa74+VMHdr50uH47VOiqxdeFUL+/9nxjmEE7TI16qqPEob6hRL4gbIfouHv6/1oZS936sldcmEk7XDb4kmySRF1OcS0rzLwdNhUlM6zSqY/wK30eZtkOIRtfPjiXTf36Jua1MOt2OFi83c4q768JatW4E2F27VAq0C4yLaTucitoW5h9O+TdtwlcXUx96RQjCHMU9dlGIyZXUF/DrVMNc24HpmR/RlM19YC9d4aHubbDsZ0c+xAh9Vtd07pD3dthrkVcwLkW6kEuUWWhrHY47bDpqUrnX6+vszcjNKgd4mqeaGb8oa6T2x4cyhF1ftbTExKj6PXPP3kXmtAOwz4tT+uVoq4xWuNeaEY7LLwxscRhCPV5gSnnQnNF1yHSrVhKnvrT7eYmofx2cH8hkXtpFPUNbf3Xhla0w4Q9V1MqxlDf/fzN3ND6dijR35qyZiJ1ru7C8aFt7fDwXeAv18nUL/38JhnaKzp/dvGY2unU714+VR8i1QGjg4bbaahRr1Ua+iNEtgMmdzLHH1On7hbtER2i0AE3Is17XLSou5ut/Bqi1AHf1vSbzdWm3ikteBqi0gE+hfaBBYuov/560S5EvQP8ouZ/rAfq9w0VjoZod8B53VUDOlZQT2723RICHfD4trCoXZ/6VpdNi0P0O8C99ZRe/Xrq05dWTQsx6IBNcRLzCgyoLy+5KRuyowOUFwpiOUbUPRwmdQSbdECoy7I/Ljv+ev05EcXB5h0QpHqg+thu6qtyjFODLTuArXbJea4J9cu2zQHB1h2woiJpaMMB6h3KTq7Bdh0g7XZz56fD1IMS1G4H23fAqxe/b245Rj3EIuF0sGMHvBin8ablJPXuUQf3BDuLtjd/7OV4ijoz4s+qYNcOWBqzkaN8jvoKsxfqwe4dMPaMS5GHDfWVQxeMCWZ1QGoYe7TqJerXAzL7Bwd1QP2vtNNv7Kj37j1ZE8TpgAkz1f7IXP/r/AcO+h6U0AGNef1jrW5R92R94ARldMAgLceM1NvUvxvrfQ7K7YCeS4NnKd+nvrh/waMgfgcc7fIuPeZE/ecX60tBFR1Q2Rg4wOsxdfa2EYeD6jtglMce5/Jn1MN7vQ2C2jrgnkm+u8IL6n8+r9MN6u2A8r3Hlum9pn5+a/nkIKlOiKpYbWnqRl259+qQINlOCFzmudjm/d+vM6E1UKET9rPT/e0/UZfbFsIPVOqEPTZ1xQ8+UzdibEsKVOmEVUUrsu5/pR7/RegbqN4J/tMHPbjBon50x71Xgdqi7Z/ZTDrj+9f1kVC9FQid8PRUqvPOAOpLWDGWgfqdsLhnabd2MPUTu012Bhp0Qu7lwbuGhVFPkOpaHrijE/rrHA0viKC+2f/ZrECTTthh9XTOey51yf1zRwead4LV8aSw/THUS4am9wZYdkL1SbBUjKdeE3r0d4C16PqEa25NSKQ+8YhkdoBdJ1i+zD9nkULddtTb8AD7TvA2OMsfmk69J3rxpwDHTgidoPvqI++vccYqzzHAuRPU1x0Mmp9N/cLEsxcCXDvBY8zsxZHfqJ9KlT0Y4N4JXB5vPuT9Nc7YftkQwOqE4f4OrOB86umq+gsCgjpBV9rRf2Yhda3cYqUATidkyk80fMr/6367eWVQQEInnBtldb/9F3XzeWOb/DM6gbODY721lPr8koAC/9xO2DBh9djP5dSnPNoc78/vhCDPpczWyr+eF8tqWf4VnfBiZYn/4mrqh4QOLv71nfBQ3SLmYi11f9ep1/3bOkGHPSbIr/6v1zfgnvDv7YQZMsovSxuo+/zZvd1fqgsYN8NshzVT3+PdBv6yXWB8YPp+zda/xtV9j2f4K3RBasWLnRvbqcsMUx/hr9QF7TuNLA90Uh8amdztp9IF1j23vay6qc+yOFzup94FpaMvKNn8oW42sT/PT7sL8qt28WwYo2k8TH8d4gdd0BxxNOV0f+oqdrrv/fS7ICOHP+7wAOos9W/3/Ay6QPJsW+qWgdQNBVbn/XZ0wVxB1W8daeqDHg4x9TPpgoa9zZcVB1MvWOax1s+8Cwo0Nz1pkKEe17hCy8+yC5zc5urEDv2rv+eP97PuAo+6n2edZKkXbr040M+uCyJNb2zbLk998EAFoa99F1guOlw2agT1TUG+P3wdu2B7TJh6xkjq7kc2xfg6d8GwJRy4Npr6yLFVX31du0Cz1lNZXZG6c8rNZ77uXbBHMaTw2xjqsy5PYvqyukBNYuq18+Oof58TcdQ3qAu0G6eNkZ9A/ZHA2MiX0yUa/zu8Pk6kfuBR82LfhC6wqc9dP0+Z+oqVTtN9M7qg5FZ3T/gk6tqtanK+uV3QMe9tBkyhvtgjocOHL3q/Sxmp4VOpb9l1sMSnogueVRj90ZpO/cKQ3lSf+i7Ycu77qY8q1NmRLwJ92rpAZVa0pvwM6m1WC9x8ervAx3DzWuuZ1A2mZN32keqGOyqRMblq1AO+nTzjI9sNm1qWf507m/pMh0F7fRS64fmfMcMc5lD3WvhxtY9SN/R3uNycq059aa2eho9KN6h9dz82WfOv+8G1YIyPejd8mZ190Xwu9TtbbCR8tLtBKVtXy12L+krJkbVs6IbJMqNf/ZpHXSaY9Z2t3w0GY99FjV5AvejYei7boBuWrVJkrdamHjGh4jN7Rzc84flantKh7sG79pht0g2ljK/DnHWpu16feJlt3g2pY5c6By2k/nZB6GG2ZTeUH3g/MnsRde/f2wzZ1t2QPmH0o9+LqSe8atBl23XDJCfe2K4l1H8b3J/Ctu8G6z9DQqWA+miJGUPZjt1g6SV5UVaP+obA2FaWcze8+9V8ZPgy6nePmgpYrt3gxR/pKLeces747iSWezfMrHFtH7SC+nSesx+L1Q3+63nsP3/1q9e1XrOCuqFyuSC6biX1sgUZt1icbtg/evDC/FV/jSdVx6xYCd0QMthhUtRq6rGvB+5iZXTDvUNPbrzXp663+d0KVq7o/R45anF1DfWYAUtns/jdMHL3sqpda/8aB4J/jGZVdEMPc7uExjrqguPnGKz6buBNLIllrKduoyRf5d3WDdMvTFqY9ldXzP6a7d3bDa9y1ls83UA98taaCG+pHkg/9+rEzo3Ujy8s/eQt2wPb3m7UG7OJ+oQ6OydvBdH2L12ac/7q396Os/VW6oGcz6FP7hlQf7It6KC3Sg9IyFWr6RlS3zHIaKO3eg+0DDeLq/+rK0fULfDW7oHVbQdOvNxMvc7qjrI39MCjfkqzVmyhHjV1+mBv/R44ez5btuKv7pIX1eRl0AP2L0In2xtRP39vb6HXjh4w9x1mNWUr9e16HfFeJj3g3X+wRPhffXHzE7aXeQ90ZJSXG2776/7x0HjhZdkDJfv404v/6iP2pF73su4B6ebZ6ZbbqUvKHTnpZdcD/XKGVHb81TtjJHZ42f9/7dv/T9VVHMdxXBhOQl1oohNFQCGBcIZDM30T4vBLBE4ciAIGKGaiaRjIFyUxqUwZYpJfAE28n3s/9yKSJsI0TJ1MQvyGEqAg2gDRAiWliZ9zYq3tvu/6C9pej98+z52dfXbOD+fzw+dotGb2qS0ZYebek1ToV5zdP//2uEOvhJt7l8eMScV5/fM8WLg4k/eW2/bFhRrFHjxtkKw/zd2gmRSNjvTe0CcvMfe/Aoe0m0o0ipreFPkH6wNeGq6ZyjTy1NnWLY8wd7vjcypMlRoVby144xrrY+Jaj5iqNNpkXzv53aXsfHFI32m6qpFHfp3XUdb9ahySTPUaxcQ9drBdxtY/4+RyU4tGp/o3LYH1BJ+Q+aZ2jS6endZ2hfUvOx69berSaGJDa/OkSHMvOpjlaOrtf5+AL55uY/18iIuNSWoUHhDpeYf1+9aV3UYbQVGORXmTo9h+lUc0GocKmjh8D21l3T3h+QXjSEFBCfHe11kPGr+72DhO0JqE8A2O0eaeeMsrz+gmyGnJYft41vO/upxh9BZkvTFt7DHWL81csdroK+jEQNeCp6w/eWIVaiRB1cE38n2Wm/tY3cGZxkBBD/J+dk9kfUHENDdjsKDvnD3nl7KeOqRumDFMUJbP+3aPWVfPr3uhRgta8PqydNcPzb3pM9vf1HhB6VZ7j0aw/pqHckVdJ+jMbJ+cXazPavEvU5MEHXZav+Ac6xtymw+pWwRVNW1v6WJdF5jytZolqKa8JNwxxtwb+0YkqtmC5soJ5+eyPux4aaSaJ6ih28VtA+tz4oIC1UJBo24+2L2P9TSHh5NVRVBRZ+GwStZP1GwbrZYIGpG223if9UcZTtZqmaBBNc/WWseau8vUM78bKgU5jLNe6cr60odh9YYqQa3lvQf8Wd+T33POcFWQdm/wmGjWryzMVg31/fM3JD3ZxLrNqx57DC2CCtqS3XJZ96u4lG5oFxTxwdzLKuupa2PiDV2C6kOd7p9j/UdnEWLoFVQ6a0b6Lda7b+97xyAFZYbcPNrBuseOqa4GG0kPa53jX7C+kq7bGYZKShexNYPj2Lnfs6ZXP1LSHZfr90axflcZ1KofJ+n7zKISN9YdlhVV690kLY9xCPBhPXSY30m9t6S71vEGYj37YlO+3lfSiJLqznms/5KclKUnSU+UdPtFrNt42a/XB0r61KPiraWs+7cei9AHS1pUUBEYw/rmb+cH6MMkBV05/dEq1ivmtXnpoyXFnukuTGD9ufb5SH28pORJe5+tZ33KD44D9OskHTjRt3Ej62tXlncqSZJCL1p5JrOujl5cp2yRNEad4prCeltt91klS9KbUY1xqaw7Z36jKNmSLs8rsk1jPcrXPUfJkzR9dU8zH7//0YUUpVBSw8vHnbzXF0bHKYqkjpyydt7tQ/uClBJJdsbcDt6DB+X5KmWSPi4Nt+g7zkwZr1RKurZ5lUWv+qR2sFIlqdE/zqK/MmH1n7qr/eu8YoVFp4aBzbp6SSkjLXvqzsNVupb+dfO07GXvzSzVtUv6aaJl73n2635dl6SZ7pbdW03cpuuVdMvNspuS7lT3vZT/XpBk3zn/XJz8b88ZfnIi/xEi7PiuaP5sawUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPB/8Dc= + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 08d0fe08-e5a7-4f39-bcd3-c9761f452521 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 5698 + 13932 + 439 + 20 + + 0 + 0 + 0 + + 5698.886 + 13932.15 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + dbb5dc80-4acb-413d-969c-85a2f4200d6f + true + End Points + End Points + + + + + + 6266 + 9931 + 96 + 44 + + + 6316 + 9953 + + + + + + Curve to evaluate + be2febf1-ecce-4828-a44c-35a76bc1f1d2 + true + Curve + Curve + false + 5a1746ed-86dd-4d88-bc68-5f807e8d4b3d + 1 + + + + + + 6268 + 9933 + 33 + 40 + + + 6286 + 9953 + + + + + + + + Curve start point + 3386e9eb-0667-4d57-bab0-2f9d4587d779 + true + Start + Start + false + 0 + + + + + + 6331 + 9933 + 29 + 20 + + + 6347 + 9943 + + + + + + + + Curve end point + 7e52aa9b-0275-48d8-b92e-7fe5ca417526 + true + End + End + false + 0 + + + + + + 6331 + 9953 + 29 + 20 + + + 6347 + 9963 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 61cf9524-f205-4ea3-ac2c-b7a2df71b31d + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 6251 + 9828 + 126 + 84 + + + 6309 + 9870 + + + + + + Rectangle base plane + 0788cf45-f6d3-42ef-837c-1a65cd708327 + true + Plane + Plane + false + 0 + + + + + + 6253 + 9830 + 41 + 20 + + + 6275 + 9840 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 0688837e-d1b2-473a-afa0-6f066d9ee689 + true + Point A + Point A + false + 3386e9eb-0667-4d57-bab0-2f9d4587d779 + 1 + + + + + + 6253 + 9850 + 41 + 20 + + + 6275 + 9860 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 08694b21-9f73-4997-9cb3-97a193e0311a + true + Point B + Point B + false + 7e52aa9b-0275-48d8-b92e-7fe5ca417526 + 1 + + + + + + 6253 + 9870 + 41 + 20 + + + 6275 + 9880 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 78a51c30-f6b8-4cb8-8016-fc3f08b617f3 + true + Radius + Radius + false + 0 + + + + + + 6253 + 9890 + 41 + 20 + + + 6275 + 9900 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + f94e4fec-b86d-49a0-a2e4-6eab56feb15d + true + Rectangle + Rectangle + false + 0 + + + + + + 6324 + 9830 + 51 + 40 + + + 6351 + 9850 + + + + + + + + Length of rectangle curve + a86db4cb-ef67-420e-aabc-ea1f320f5700 + true + Length + Length + false + 0 + + + + + + 6324 + 9870 + 51 + 40 + + + 6351 + 9890 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + bafe90e0-6f7a-4572-bf4c-9530d7ea2237 + true + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 6243 + 9745 + 142 + 64 + + + 6311 + 9777 + + + + + + Rectangle to deconstruct + 2be5869e-ba23-42a5-8024-4d18b1323b3e + true + Rectangle + Rectangle + false + f94e4fec-b86d-49a0-a2e4-6eab56feb15d + 1 + + + + + + 6245 + 9747 + 51 + 60 + + + 6272 + 9777 + + + + + + + + Base plane of rectangle + 941fea12-a11f-4a91-bfea-61fcfd528244 + true + Base Plane + Base Plane + false + 0 + + + + + + 6326 + 9747 + 57 + 20 + + + 6356 + 9757 + + + + + + + + Size interval along base plane X axis + 8d14054b-4c2d-4b5e-809c-829c05c974b2 + true + X Interval + X Interval + false + 0 + + + + + + 6326 + 9767 + 57 + 20 + + + 6356 + 9777 + + + + + + + + Size interval along base plane Y axis + f1c5a0ed-af11-4084-8d0a-3b912daab294 + true + Y Interval + Y Interval + false + 0 + + + + + + 6326 + 9787 + 57 + 20 + + + 6356 + 9797 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + c40d8cac-0c78-4496-a6f9-8db45610e33d + true + Deconstruct Domain + Deconstruct Domain + + + + + + 6262 + 9618 + 104 + 44 + + + 6320 + 9640 + + + + + + Base domain + 94e268db-3622-4ae6-9332-57718ccc1c55 + true + Domain + Domain + false + f1c5a0ed-af11-4084-8d0a-3b912daab294 + 1 + + + + + + 6264 + 9620 + 41 + 40 + + + 6286 + 9640 + + + + + + + + Start of domain + d630522c-e63c-4325-ba8c-29d255e2c081 + true + Start + Start + false + 0 + + + + + + 6335 + 9620 + 29 + 20 + + + 6351 + 9630 + + + + + + + + End of domain + 15601532-333b-4500-b01f-832fceb9988f + true + End + End + false + 0 + + + + + + 6335 + 9640 + 29 + 20 + + + 6351 + 9650 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 4d6c12c1-0bbd-4add-92ca-8c84daf9ef53 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 6262 + 9680 + 104 + 44 + + + 6320 + 9702 + + + + + + Base domain + 45458c32-2eb4-4a43-b69d-b49a72e04e24 + true + Domain + Domain + false + 8d14054b-4c2d-4b5e-809c-829c05c974b2 + 1 + + + + + + 6264 + 9682 + 41 + 40 + + + 6286 + 9702 + + + + + + + + Start of domain + 3238249f-ed3e-4c48-931d-16fce52cec02 + true + Start + Start + false + 0 + + + + + + 6335 + 9682 + 29 + 20 + + + 6351 + 9692 + + + + + + + + End of domain + e8b2cb84-d2c9-477c-9b78-94b94de3b6ca + true + End + End + false + 0 + + + + + + 6335 + 9702 + 29 + 20 + + + 6351 + 9712 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + 3222923d-ecbc-4e99-87d4-38a37e517350 + true + Scale NU + Scale NU + + + + + + 6237 + 9495 + 154 + 104 + + + 6321 + 9547 + + + + + + Base geometry + 7de7e079-af29-4746-ace8-eb539260ad74 + true + Geometry + Geometry + true + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + + + + + + 6239 + 9497 + 67 + 20 + + + 6282 + 9507 + + + + + + + + Base plane + fa83f991-b21b-46d9-af25-81cc12394afd + true + Plane + Plane + false + 0 + + + + + + 6239 + 9517 + 67 + 20 + + + 6282 + 9527 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 672e1115-2634-4cfd-8064-397c9e45ea38 + 1/X + true + Scale X + Scale X + false + e8b2cb84-d2c9-477c-9b78-94b94de3b6ca + 1 + + + + + + 6239 + 9537 + 67 + 20 + + + 6282 + 9547 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + c78f6626-6051-40bf-ba58-60eeddd4679b + 1/X + true + Scale Y + Scale Y + false + 15601532-333b-4500-b01f-832fceb9988f + 1 + + + + + + 6239 + 9557 + 67 + 20 + + + 6282 + 9567 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + 9681d0c6-0bc2-498c-91a6-7133730afe56 + true + Scale Z + Scale Z + false + 0 + + + + + + 6239 + 9577 + 67 + 20 + + + 6282 + 9587 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + c5b0209d-7eff-466d-9721-a4a98764b2a0 + true + Geometry + Geometry + false + 0 + + + + + + 6336 + 9497 + 53 + 50 + + + 6364 + 9522 + + + + + + + + Transformation data + a622865f-128b-4789-aeb9-373a66c3dcad + true + Transform + Transform + false + 0 + + + + + + 6336 + 9547 + 53 + 50 + + + 6364 + 9572 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + dbb5dc80-4acb-413d-969c-85a2f4200d6f + 61cf9524-f205-4ea3-ac2c-b7a2df71b31d + bafe90e0-6f7a-4572-bf4c-9530d7ea2237 + c40d8cac-0c78-4496-a6f9-8db45610e33d + 4d6c12c1-0bbd-4add-92ca-8c84daf9ef53 + 3222923d-ecbc-4e99-87d4-38a37e517350 + 5a1746ed-86dd-4d88-bc68-5f807e8d4b3d + ffec4d71-4ff5-4e80-877f-78e4fee070d7 + 74296b2d-da88-4dd3-bfe4-425c82270851 + 99805ebf-f622-48cc-a2b0-15df4edd0fe8 + 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d + 5476751a-871d-4a7c-9271-5478d5934e96 + 12 + 47229e8b-a860-4910-8f8b-d92626f9db64 + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 5a1746ed-86dd-4d88-bc68-5f807e8d4b3d + true + Curve + Curve + false + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + + + + + + 6293 + 10005 + 50 + 24 + + + 6318.132 + 10017.3 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ffec4d71-4ff5-4e80-877f-78e4fee070d7 + true + Curve + Curve + false + c5b0209d-7eff-466d-9721-a4a98764b2a0 + 1 + + + + + + 6292 + 9443 + 50 + 24 + + + 6317.916 + 9455.55 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 74296b2d-da88-4dd3-bfe4-425c82270851 + true + Move + Move + + + + + + 6243 + 9248 + 138 + 44 + + + 6311 + 9270 + + + + + + Base geometry + c99df591-69f6-4afc-94fd-1065fba9e027 + true + Geometry + Geometry + true + ffec4d71-4ff5-4e80-877f-78e4fee070d7 + 1 + + + + + + 6245 + 9250 + 51 + 20 + + + 6272 + 9260 + + + + + + + + Translation vector + 3f61b4cd-5068-4f43-a37a-ae95257bc7d6 + true + Motion + Motion + false + f419d345-faef-4d1f-a829-4cf7dcadf807 + 1 + + + + + + 6245 + 9270 + 51 + 20 + + + 6272 + 9280 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + cab46d61-0caa-492f-b691-fad06a903569 + true + Geometry + Geometry + false + 0 + + + + + + 6326 + 9250 + 53 + 20 + + + 6354 + 9260 + + + + + + + + Transformation data + 96d69e72-2a90-4093-9fe6-5f14e2afad85 + true + Transform + Transform + false + 0 + + + + + + 6326 + 9270 + 53 + 20 + + + 6354 + 9280 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 99805ebf-f622-48cc-a2b0-15df4edd0fe8 + true + Curve + Curve + false + cab46d61-0caa-492f-b691-fad06a903569 + 1 + + + + + + 6290 + 9205 + 50 + 24 + + + 6315.247 + 9217.51 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 85fd1d43-19b7-4665-a653-b87533a75cbc + true + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 5699 + 14093 + 439 + 22 + + 0 + 0 + 0 + + 5699.191 + 14093.11 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 734b5e8e-2a59-47e7-8504-23c8d228c2ed + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 5791 + 14243 + 251 + 20 + + + 5791.796 + 14243.51 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6bb7f00d-765d-42e7-8b9e-dd152d099485 + true + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 5698 + 14152 + 439 + 20 + + 0 + 0 + 0 + + 5698.636 + 14152.15 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 25aa5733-be81-4880-a0cb-342eaf97bb70 + true + Point + Point + false + 5f265745-6ca0-49fb-a2cc-9640c03fedfc + 1 + + + + + + 5914 + 11868 + 50 + 24 + + + 5939.612 + 11880.24 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 5f265745-6ca0-49fb-a2cc-9640c03fedfc + true + Relay + + false + 01bc5e62-d096-4f62-98a1-30ad9e556956 + 1 + + + + + + 5918 + 11915 + 40 + 16 + + + 5938 + 11923 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e654b44d-372f-4d5e-aa76-bc0c6662276d + true + Relay + + false + 7d794f9d-fe56-4cda-a107-200aa0753ad5 + 1 + + + + + + 5918 + 11692 + 40 + 16 + + + 5938 + 11700 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 15cea472-84f0-43d6-adb5-ebab1513851b + true + Scale + Scale + + + + + + 5861 + 11728 + 154 + 64 + + + 5945 + 11760 + + + + + + Base geometry + fd50984f-6c0b-4c57-81ca-570fa633c5cb + true + Geometry + Geometry + true + 25aa5733-be81-4880-a0cb-342eaf97bb70 + 1 + + + + + + 5863 + 11730 + 67 + 20 + + + 5906 + 11740 + + + + + + + + Center of scaling + e81993b5-0cab-4939-baa1-16bd08ce23da + true + Center + Center + false + 0 + + + + + + 5863 + 11750 + 67 + 20 + + + 5906 + 11760 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + eb16b407-723c-446a-bb39-883cd02b96b9 + 2^X + true + Factor + Factor + false + 786183f9-8f91-45b1-ba10-5f602200fca4 + 1 + + + + + + 5863 + 11770 + 67 + 20 + + + 5906 + 11780 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 7d794f9d-fe56-4cda-a107-200aa0753ad5 + true + Geometry + Geometry + false + 0 + + + + + + 5960 + 11730 + 53 + 30 + + + 5988 + 11745 + + + + + + + + Transformation data + b324d934-ff01-4969-9525-d2f3258cfb36 + true + Transform + Transform + false + 0 + + + + + + 5960 + 11760 + 53 + 30 + + + 5988 + 11775 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 786183f9-8f91-45b1-ba10-5f602200fca4 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 5819 + 11812 + 250 + 20 + + + 5819.391 + 11812.6 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 25aa5733-be81-4880-a0cb-342eaf97bb70 + 1 + a76219c7-98a0-4832-8b36-314f51be2052 + Group + Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 215ee42c-ec8c-4de7-86f1-4b5a561eba9e + true + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 5468 + 13373 + 40 + 16 + + + 5488 + 13381 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 01b18334-33c4-4ddf-93c5-7139eb31af37 + true + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 5416 + 13339 + 144 + 20 + + 0 + 0 + 0 + + 5416.223 + 13339.37 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 361f9aa4-30a2-49f7-8574-73abb3c98a5e + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 5791 + 14195 + 251 + 20 + + + 5791.796 + 14195.26 + + + + + + + + + + a50fcd4a-cf42-4c3f-8616-022761e6cc93 + Deconstruct Vector + + + + + Deconstruct a vector into its component parts. + true + 357048ec-5c88-4cb9-8f5c-81a5f5abfff8 + true + Deconstruct Vector + Deconstruct Vector + + + + + + 19798 + 9290 + 138 + 64 + + + 19851 + 9322 + + + + + + Input vector + 3296ba5e-a8d8-4a7f-8511-7b8085fd68c5 + true + Vector + Vector + false + bfccd18e-cb91-484e-8a45-84b5da37edcf + 1 + + + + + + 19800 + 9292 + 36 + 60 + + + 19819.5 + 9322 + + + + + + + + Vector {x} component + 02a8d5d4-3b27-406d-b433-63b674456bf8 + true + X component + X component + false + 0 + + + + + + 19866 + 9292 + 68 + 20 + + + 19901.5 + 9302 + + + + + + + + Vector {y} component + 6480ffbb-0295-4563-807f-ec1cb13433ab + true + Y component + Y component + false + 0 + + + + + + 19866 + 9312 + 68 + 20 + + + 19901.5 + 9322 + + + + + + + + Vector {z} component + cec671fc-4c4e-486f-aab2-6b1489f96f4c + true + Z component + Z component + false + 0 + + + + + + 19866 + 9332 + 68 + 20 + + + 19901.5 + 9342 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 7cc5932e-b5d0-4767-b86c-09db982220c7 + true + Vector XYZ + Vector XYZ + + + + + + 19798 + 9190 + 155 + 64 + + + 19899 + 9222 + + + + + + Vector {x} component + e53a0d2c-57bc-477e-a4ac-eabad4189717 + true + X component + X component + false + 02a8d5d4-3b27-406d-b433-63b674456bf8 + 1 + + + + + + 19800 + 9192 + 84 + 20 + + + 19851.5 + 9202 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector {y} component + 68cf04a2-d5aa-49bf-9465-895fba0e2eda + X+2.5 + true + Y component + Y component + false + 6480ffbb-0295-4563-807f-ec1cb13433ab + 1 + + + + + + 19800 + 9212 + 84 + 20 + + + 19851.5 + 9222 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector {z} component + 357b6cf5-9279-4ef5-9eec-3caae1c7c68a + true + Z component + Z component + false + cec671fc-4c4e-486f-aab2-6b1489f96f4c + 1 + + + + + + 19800 + 9232 + 84 + 20 + + + 19851.5 + 9242 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + e24f66c2-f6ca-429a-95a4-deeccf7adc0a + true + Vector + Vector + false + 0 + + + + + + 19914 + 9192 + 37 + 30 + + + 19934 + 9207 + + + + + + + + Vector length + 53750491-b0f5-4cce-8cd7-5e24da19ee8c + true + Length + Length + false + 0 + + + + + + 19914 + 9222 + 37 + 30 + + + 19934 + 9237 + + + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 5476751a-871d-4a7c-9271-5478d5934e96 + true + Vector XYZ + Vector XYZ + + + + + + 6243 + 9334 + 139 + 64 + + + 6328 + 9366 + + + + + + Vector {x} component + ec22f95b-fd68-4863-a589-e2293bcdd4eb + true + X component + X component + false + 0 + + + + + + 6245 + 9336 + 68 + 20 + + + 6280.5 + 9346 + + + + + + 1 + + + + + 1 + {0} + + + + + 5 + + + + + + + + + + + Vector {y} component + ec1c4557-a37b-450f-a1e8-4bbc030bcba0 + true + Y component + Y component + false + 0 + + + + + + 6245 + 9356 + 68 + 20 + + + 6280.5 + 9366 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5 + + + + + + + + + + + Vector {z} component + 61b3a814-9635-4ed3-8f53-2dd61c7942e8 + true + Z component + Z component + false + 0 + + + + + + 6245 + 9376 + 68 + 20 + + + 6280.5 + 9386 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + f419d345-faef-4d1f-a829-4cf7dcadf807 + true + Vector + Vector + false + 0 + + + + + + 6343 + 9336 + 37 + 30 + + + 6363 + 9351 + + + + + + + + Vector length + b7ae4ab2-2633-46ff-8b74-d6f9dd1a5bb1 + true + Length + Length + false + 0 + + + + + + 6343 + 9366 + 37 + 30 + + + 6363 + 9381 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + accb7566-1c4f-472e-95ae-bf5b9b0e62fb + fe8fda7a-61a0-4712-ad3e-8e26eaf5a221 + 653b9b1f-4388-4601-9964-cb0f37000c42 + dfe2545b-c3c0-46a7-addc-20709cae7a4d + 7101556a-3ae8-4013-a010-ecff577fe9b9 + 56e8a40e-11a7-4931-84ec-68eda6076c5e + 6 + 6b04179c-632b-4a3b-baeb-e136a51b22d7 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e7a31dff-afeb-40fa-b036-b653642deef5 + a9ee02a4-ee90-4535-afb9-ca755021c649 + 8f9ac206-3302-42a9-823b-a1ffca70e8d7 + 35a0ec62-d1fc-46f1-8e13-f29c8db088ee + ede7512c-0e4c-496a-9ce9-d90c4d5f79ec + cc894fc0-8bbd-412d-940a-f668520c58e1 + 8e3a4850-a313-4154-af71-83211f5ab3d7 + b00e752e-39e5-47b6-aefa-c67d9f62d516 + ed31987d-e608-464e-ae29-c6ee653c5144 + 0a337e19-c2fd-4ed7-a876-d23f94c816ca + e73b58fe-8eba-4f41-be14-bf8baf440316 + a4d9840e-68f6-415f-acba-7d808a83ebcd + e5bcf49e-bc3b-406e-8ae7-ee4f982c139a + 6e6d9687-23d8-4aa0-937e-15a27770bdf3 + c224342c-801f-4459-9224-44879ddf539f + 13a34976-62c7-405b-9081-13598ea4fef8 + 14d86f04-d57c-405e-9934-faa2a0359aae + 74341fee-fd1a-4963-833b-ea12e30114f7 + 34768c89-7693-4842-b84d-e4ba975d624c + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 152e67d0-a077-408a-ae94-36f4b0baccba + abb3172f-9fe8-43d9-81ae-6681dc89a32a + e4aec249-cfaf-4604-8644-19109b45a59d + 88da7dd8-48a3-442c-b0fe-a2283162f1a8 + 3f8a7473-ad12-405b-8893-ae8b1f21e4a1 + a51bfa4f-4375-4769-990a-a88b58714f3a + d73207e8-cffe-4689-9165-3f2f493c2334 + 037cd549-441a-4d1d-bda2-c859f4f5de54 + d3f62d39-d3b6-4eda-9fda-e54910bad6d8 + 6ef3dd47-35c9-4a57-84e7-9e7cdb582fd6 + a352dd57-ca14-43a7-bdf0-c74f0212a36c + 10dfccba-b58f-42f8-a31f-68b35f0b5128 + 6147e27d-d278-4100-bd0c-2d9bf58f804b + 19fcc16d-49a9-4381-afd9-07d700c4d873 + 4ba9af09-5608-439b-abb2-0972c2c3aac1 + f239b077-0be7-44f3-80e9-7c5fec9c1cf4 + 78a25c84-d10a-4ec1-9371-11d33679bb8d + 1d9bc771-2e15-4b94-a341-e87b0877df92 + b4343695-12cd-4656-b416-0a59bc755dc7 + 610dfbfd-76bc-4ae1-b235-8480bf3d07bc + 38bcc71c-4564-474e-b422-b9edfd11ec76 + 04684392-c231-4803-96a2-0b45d4eceeff + 04965399-0049-4a69-96f7-cd6e227acae9 + 78143443-bf79-4a8c-8ab6-357fb7242d83 + 8fe7bbce-0836-4790-b068-eb14beedc8e6 + 35dbe435-c549-4a59-a6e6-2791d1611515 + 1b7a9e9e-38d9-42ad-974f-a2fe4ede79ac + 6f2328a6-1197-4fad-88b8-fe947c5630c5 + 157f3ccd-a904-49ed-ab92-b91ac0a128b3 + 2ad9750f-95e1-4da5-8ff7-e3d2fc4b9d28 + f2b68385-5c09-4829-a4df-6ad0d978d896 + 5494d448-a9bd-4b32-86e1-470ecb156672 + 211da4c9-6ce1-4ffa-a619-50942fe2ea47 + 0837d549-965a-4c9e-9064-4edc1c2772c6 + e8c07d05-d369-4254-b811-1f30c9c5ef96 + 32e80d34-20c3-4524-aeab-e61fe36a3f90 + 5945a555-b422-4b9c-a4a1-5ee679a7de49 + ac728063-c096-41a7-9b68-e71ad04383f6 + afe3b516-b00d-403d-9a6a-4859e35e5cb0 + 1f6fe439-c332-4e07-a762-280f166f72fc + d4ee0d3f-fb2e-4f6d-b04c-9eb8d93f8221 + 203013c3-86ac-4a38-a910-e737d2189433 + 2f56db63-146f-405e-b3c3-c44caed0f203 + 16366958-9805-4b42-a54b-9f5d58291fee + 5ae063e1-5715-4087-b7ea-26de32862c2b + 88b8ffb1-067f-4ad4-ae02-6871e4a07719 + bde10973-4f64-4daf-87dd-d7e70ef59615 + f1db56f7-3181-47e5-9ebd-1808819c1a93 + b2a2f048-d933-4b9a-802e-81a5e9054879 + fc350524-ba4b-42e1-b3be-b2e6eb1e659e + c0eece22-6db9-450a-84da-b6446c00f6e7 + ebd5302f-d62d-47d8-bd9f-a5c55eb9d9e2 + 5e8d1927-3e40-48e5-b130-19494db5d000 + a7804f21-ef86-4385-9b58-89ada0927d45 + bd253782-5888-4882-b26c-d089e5f118eb + 57eb5ebf-a05f-4bb4-9967-b7b3c1687c8c + 2102b6f6-7762-401d-b96b-e1b63393697b + bdda6eac-8b5e-4083-a014-e412699ab434 + 51c29661-5f00-4270-8e5d-51bb166711f7 + 92fba1b4-6fcd-49c0-9172-b5cd7ee1712b + ce5697fc-79fa-4cd1-9822-346f09145cf9 + 289362ef-c456-475f-a4a5-7610e305e8d9 + 34abd1c9-c536-44ad-8046-d4107bdabe6c + 83 + 82eee8da-134f-46e3-a068-067290c81692 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a9ee02a4-ee90-4535-afb9-ca755021c649 + 8f9ac206-3302-42a9-823b-a1ffca70e8d7 + 35a0ec62-d1fc-46f1-8e13-f29c8db088ee + ede7512c-0e4c-496a-9ce9-d90c4d5f79ec + cc894fc0-8bbd-412d-940a-f668520c58e1 + 8e3a4850-a313-4154-af71-83211f5ab3d7 + b00e752e-39e5-47b6-aefa-c67d9f62d516 + ed31987d-e608-464e-ae29-c6ee653c5144 + 0a337e19-c2fd-4ed7-a876-d23f94c816ca + e73b58fe-8eba-4f41-be14-bf8baf440316 + a4d9840e-68f6-415f-acba-7d808a83ebcd + e5bcf49e-bc3b-406e-8ae7-ee4f982c139a + 6e6d9687-23d8-4aa0-937e-15a27770bdf3 + c224342c-801f-4459-9224-44879ddf539f + 13a34976-62c7-405b-9081-13598ea4fef8 + 14d86f04-d57c-405e-9934-faa2a0359aae + 74341fee-fd1a-4963-833b-ea12e30114f7 + 34768c89-7693-4842-b84d-e4ba975d624c + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 152e67d0-a077-408a-ae94-36f4b0baccba + abb3172f-9fe8-43d9-81ae-6681dc89a32a + e4aec249-cfaf-4604-8644-19109b45a59d + 88da7dd8-48a3-442c-b0fe-a2283162f1a8 + 3f8a7473-ad12-405b-8893-ae8b1f21e4a1 + a51bfa4f-4375-4769-990a-a88b58714f3a + d73207e8-cffe-4689-9165-3f2f493c2334 + 037cd549-441a-4d1d-bda2-c859f4f5de54 + d3f62d39-d3b6-4eda-9fda-e54910bad6d8 + 6ef3dd47-35c9-4a57-84e7-9e7cdb582fd6 + a352dd57-ca14-43a7-bdf0-c74f0212a36c + 10dfccba-b58f-42f8-a31f-68b35f0b5128 + 6147e27d-d278-4100-bd0c-2d9bf58f804b + 19fcc16d-49a9-4381-afd9-07d700c4d873 + 4ba9af09-5608-439b-abb2-0972c2c3aac1 + f239b077-0be7-44f3-80e9-7c5fec9c1cf4 + 78a25c84-d10a-4ec1-9371-11d33679bb8d + 1d9bc771-2e15-4b94-a341-e87b0877df92 + b4343695-12cd-4656-b416-0a59bc755dc7 + 610dfbfd-76bc-4ae1-b235-8480bf3d07bc + 38bcc71c-4564-474e-b422-b9edfd11ec76 + 04684392-c231-4803-96a2-0b45d4eceeff + 04965399-0049-4a69-96f7-cd6e227acae9 + 78143443-bf79-4a8c-8ab6-357fb7242d83 + 8fe7bbce-0836-4790-b068-eb14beedc8e6 + 35dbe435-c549-4a59-a6e6-2791d1611515 + 1b7a9e9e-38d9-42ad-974f-a2fe4ede79ac + 6f2328a6-1197-4fad-88b8-fe947c5630c5 + 157f3ccd-a904-49ed-ab92-b91ac0a128b3 + 2ad9750f-95e1-4da5-8ff7-e3d2fc4b9d28 + f2b68385-5c09-4829-a4df-6ad0d978d896 + 5494d448-a9bd-4b32-86e1-470ecb156672 + 211da4c9-6ce1-4ffa-a619-50942fe2ea47 + 0837d549-965a-4c9e-9064-4edc1c2772c6 + e8c07d05-d369-4254-b811-1f30c9c5ef96 + 32e80d34-20c3-4524-aeab-e61fe36a3f90 + 5945a555-b422-4b9c-a4a1-5ee679a7de49 + ac728063-c096-41a7-9b68-e71ad04383f6 + afe3b516-b00d-403d-9a6a-4859e35e5cb0 + 1f6fe439-c332-4e07-a762-280f166f72fc + d4ee0d3f-fb2e-4f6d-b04c-9eb8d93f8221 + 203013c3-86ac-4a38-a910-e737d2189433 + 2f56db63-146f-405e-b3c3-c44caed0f203 + 16366958-9805-4b42-a54b-9f5d58291fee + 5ae063e1-5715-4087-b7ea-26de32862c2b + 88b8ffb1-067f-4ad4-ae02-6871e4a07719 + bde10973-4f64-4daf-87dd-d7e70ef59615 + f1db56f7-3181-47e5-9ebd-1808819c1a93 + b2a2f048-d933-4b9a-802e-81a5e9054879 + fc350524-ba4b-42e1-b3be-b2e6eb1e659e + c0eece22-6db9-450a-84da-b6446c00f6e7 + ebd5302f-d62d-47d8-bd9f-a5c55eb9d9e2 + 5e8d1927-3e40-48e5-b130-19494db5d000 + a7804f21-ef86-4385-9b58-89ada0927d45 + bd253782-5888-4882-b26c-d089e5f118eb + 57eb5ebf-a05f-4bb4-9967-b7b3c1687c8c + 2102b6f6-7762-401d-b96b-e1b63393697b + bdda6eac-8b5e-4083-a014-e412699ab434 + 51c29661-5f00-4270-8e5d-51bb166711f7 + 92fba1b4-6fcd-49c0-9172-b5cd7ee1712b + 79 + e7a31dff-afeb-40fa-b036-b653642deef5 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + bdda6eac-8b5e-4083-a014-e412699ab434 + 1 + a9ee02a4-ee90-4535-afb9-ca755021c649 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 35a0ec62-d1fc-46f1-8e13-f29c8db088ee + 1 + 8f9ac206-3302-42a9-823b-a1ffca70e8d7 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ede7512c-0e4c-496a-9ce9-d90c4d5f79ec + 1 + 35a0ec62-d1fc-46f1-8e13-f29c8db088ee + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + cc894fc0-8bbd-412d-940a-f668520c58e1 + 1 + ede7512c-0e4c-496a-9ce9-d90c4d5f79ec + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 8e3a4850-a313-4154-af71-83211f5ab3d7 + 1 + cc894fc0-8bbd-412d-940a-f668520c58e1 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + b00e752e-39e5-47b6-aefa-c67d9f62d516 + 1 + 8e3a4850-a313-4154-af71-83211f5ab3d7 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 0a337e19-c2fd-4ed7-a876-d23f94c816ca + 1 + b00e752e-39e5-47b6-aefa-c67d9f62d516 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ed31987d-e608-464e-ae29-c6ee653c5144 + true + Curve + Curve + false + 0 + + + + + + 7523 + 13126 + 50 + 24 + + + 7548.904 + 13138.12 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ed31987d-e608-464e-ae29-c6ee653c5144 + 1 + 0a337e19-c2fd-4ed7-a876-d23f94c816ca + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6ef3dd47-35c9-4a57-84e7-9e7cdb582fd6 + 1 + e73b58fe-8eba-4f41-be14-bf8baf440316 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e5bcf49e-bc3b-406e-8ae7-ee4f982c139a + 6e6d9687-23d8-4aa0-937e-15a27770bdf3 + c224342c-801f-4459-9224-44879ddf539f + 13a34976-62c7-405b-9081-13598ea4fef8 + 14d86f04-d57c-405e-9934-faa2a0359aae + 74341fee-fd1a-4963-833b-ea12e30114f7 + 34768c89-7693-4842-b84d-e4ba975d624c + bade2dc2-5919-4723-bde3-ebdd9bc0713a + abb3172f-9fe8-43d9-81ae-6681dc89a32a + 152e67d0-a077-408a-ae94-36f4b0baccba + e73b58fe-8eba-4f41-be14-bf8baf440316 + 0a337e19-c2fd-4ed7-a876-d23f94c816ca + bde10973-4f64-4daf-87dd-d7e70ef59615 + f1db56f7-3181-47e5-9ebd-1808819c1a93 + b2a2f048-d933-4b9a-802e-81a5e9054879 + fc350524-ba4b-42e1-b3be-b2e6eb1e659e + c0eece22-6db9-450a-84da-b6446c00f6e7 + ebd5302f-d62d-47d8-bd9f-a5c55eb9d9e2 + 16366958-9805-4b42-a54b-9f5d58291fee + 5ae063e1-5715-4087-b7ea-26de32862c2b + 20 + a4d9840e-68f6-415f-acba-7d808a83ebcd + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + e5bcf49e-bc3b-406e-8ae7-ee4f982c139a + true + Duplicate Data + Duplicate Data + + + + + + 7500 + 14291 + 104 + 64 + + + 7559 + 14323 + + + + + + 1 + Data to duplicate + e3a263dd-5db5-469b-ba22-9bf0f44ec284 + true + Data + Data + false + e9108fb0-4e98-43b0-a1c1-8a485719f55c + 1 + + + + + + 7502 + 14293 + 42 + 20 + + + 7524.5 + 14303 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 2022e79f-2a6d-4de3-9260-7b14b2988cee + true + Number + Number + false + 88b8ffb1-067f-4ad4-ae02-6871e4a07719 + 1 + + + + + + 7502 + 14313 + 42 + 20 + + + 7524.5 + 14323 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 45eb365c-8a47-4713-9b6c-9de57def39d3 + true + Order + Order + false + 0 + + + + + + 7502 + 14333 + 42 + 20 + + + 7524.5 + 14343 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 04e568bc-2825-44be-8bb2-c80be2325618 + true + Data + Data + false + 0 + + + + + + 7574 + 14293 + 28 + 60 + + + 7589.5 + 14323 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 6e6d9687-23d8-4aa0-937e-15a27770bdf3 + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 7486 + 12363 + 116 + 44 + + + 7547 + 12385 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 106e3e26-c600-4028-975f-e60c7c14929c + true + Forward + Forward + true + 1 + true + 04e568bc-2825-44be-8bb2-c80be2325618 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 7488 + 12365 + 44 + 20 + + + 7511.5 + 12375 + + + + + + + + 1 + false + Script Variable Left + 3c10fff7-4280-4b4d-8f8a-679cf3eff2fb + true + Left + Left + true + 1 + true + 9fb6c367-789d-4429-b55c-b390791391fd + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 7488 + 12385 + 44 + 20 + + + 7511.5 + 12395 + + + + + + + + Print, Reflect and Error streams + 624bbaad-671f-40ce-912d-5aa674047f10 + true + Output + Output + false + 0 + + + + + + 7562 + 12365 + 38 + 20 + + + 7582.5 + 12375 + + + + + + + + Output parameter Points + 1a7f5de6-38f3-4d31-8db7-4a12c24c79d7 + true + Points + Points + false + 0 + + + + + + 7562 + 12385 + 38 + 20 + + + 7582.5 + 12395 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 13a34976-62c7-405b-9081-13598ea4fef8 + true + Series + Series + + + + + + 7497 + 13620 + 101 + 64 + + + 7547 + 13652 + + + + + + First number in the series + 8bd6dfff-e116-4ba0-a22d-b49212795f53 + true + Start + Start + false + 0 + + + + + + 7499 + 13622 + 33 + 20 + + + 7517 + 13632 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 5faf684f-5c2a-4fd9-b082-8eb64393bf0b + true + Step + Step + false + 2102b6f6-7762-401d-b96b-e1b63393697b + 1 + + + + + + 7499 + 13642 + 33 + 20 + + + 7517 + 13652 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 6f1800e8-5094-4255-9e85-d9725a39d41e + true + Count + Count + false + 88b8ffb1-067f-4ad4-ae02-6871e4a07719 + 1 + + + + + + 7499 + 13662 + 33 + 20 + + + 7517 + 13672 + + + + + + + + 1 + Series of numbers + 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 + true + Series + Series + false + 0 + + + + + + 7562 + 13622 + 34 + 60 + + + 7580.5 + 13652 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 14d86f04-d57c-405e-9934-faa2a0359aae + true + Number Slider + + false + 0 + + + + + + 7487 + 14568 + 150 + 20 + + + 7487.202 + 14568.28 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 74341fee-fd1a-4963-833b-ea12e30114f7 + true + Radians + Radians + + + + + + 7486 + 13837 + 120 + 28 + + + 7547 + 13851 + + + + + + Angle in degrees + f3bd733b-bd95-4a9e-b809-6984d636270f + true + Degrees + Degrees + false + 73264b8a-92e1-4ec9-82b0-0fb1b2df3af9 + 1 + + + + + + 7488 + 13839 + 44 + 24 + + + 7511.5 + 13851 + + + + + + + + Angle in radians + 2e500c78-c54a-4ee9-9dc5-2a16260d83ce + true + Radians + Radians + false + 0 + + + + + + 7562 + 13839 + 42 + 24 + + + 7584.5 + 13851 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 34768c89-7693-4842-b84d-e4ba975d624c + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 7422 + 14145 + 251 + 20 + + + 7422.296 + 14145.24 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 152e67d0-a077-408a-ae94-36f4b0baccba + true + Interpolate (t) + Interpolate (t) + + + + + + 7472 + 11598 + 144 + 84 + + + 7558 + 11640 + + + + + + 1 + Interpolation points + 4591a82d-76a3-465a-ad51-80e3a4b7ba10 + true + Vertices + Vertices + false + 653b9b1f-4388-4601-9964-cb0f37000c42 + 1 + + + + + + 7474 + 11600 + 69 + 20 + + + 7510 + 11610 + + + + + + + + Tangent at start of curve + 22986d70-80df-454b-a4b4-f542cdce32ce + true + Tangent Start + Tangent Start + false + 0 + + + + + + 7474 + 11620 + 69 + 20 + + + 7510 + 11630 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 247e312b-0de9-4177-b247-9dbf2e294a90 + true + Tangent End + Tangent End + false + 0 + + + + + + 7474 + 11640 + 69 + 20 + + + 7510 + 11650 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 9e62185b-e960-4d19-900b-515104b23602 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 7474 + 11660 + 69 + 20 + + + 7510 + 11670 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce + true + Curve + Curve + false + 0 + + + + + + 7573 + 11600 + 41 + 26 + + + 7595 + 11613.33 + + + + + + + + Curve length + 8548a258-2385-49d4-b635-20f3a4a3fd64 + true + Length + Length + false + 0 + + + + + + 7573 + 11626 + 41 + 27 + + + 7595 + 11640 + + + + + + + + Curve domain + 17bfc63b-8a02-4224-84ae-1d5008aa0990 + true + Domain + Domain + false + 0 + + + + + + 7573 + 11653 + 41 + 27 + + + 7595 + 11666.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e5bcf49e-bc3b-406e-8ae7-ee4f982c139a + 6e6d9687-23d8-4aa0-937e-15a27770bdf3 + c224342c-801f-4459-9224-44879ddf539f + 13a34976-62c7-405b-9081-13598ea4fef8 + 14d86f04-d57c-405e-9934-faa2a0359aae + 74341fee-fd1a-4963-833b-ea12e30114f7 + 34768c89-7693-4842-b84d-e4ba975d624c + bade2dc2-5919-4723-bde3-ebdd9bc0713a + a7804f21-ef86-4385-9b58-89ada0927d45 + 19fcc16d-49a9-4381-afd9-07d700c4d873 + 2f56db63-146f-405e-b3c3-c44caed0f203 + 5e8d1927-3e40-48e5-b130-19494db5d000 + bd253782-5888-4882-b26c-d089e5f118eb + dbc0f284-69fa-415b-9bb8-94c62d74b2d5 + f582e4af-ec7c-4482-af00-9cefb7455e43 + 2ac3b344-e8c4-43f0-b9bd-40e4f55f130c + 16 + abb3172f-9fe8-43d9-81ae-6681dc89a32a + Group + + + + + + + + + + + 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 + e4aec249-cfaf-4604-8644-19109b45a59d + true + Evaluate Length + Evaluate Length + + + + + + 7472 + 11430 + 144 + 64 + + + 7546 + 11462 + + + + + + Curve to evaluate + 864892a7-28b1-457e-a96f-58d0b6768c51 + true + Curve + Curve + false + 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce + 1 + + + + + + 7474 + 11432 + 57 + 20 + + + 7504 + 11442 + + + + + + + + Length factor for curve evaluation + a8f816e9-7173-4858-b62f-2bca011ec39f + true + Length + Length + false + 0 + + + + + + 7474 + 11452 + 57 + 20 + + + 7504 + 11462 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + eedf45f9-57da-40f3-8633-f863bd02947b + true + Normalized + Normalized + false + 0 + + + + + + 7474 + 11472 + 57 + 20 + + + 7504 + 11482 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 19a2408d-1ef1-431f-afe2-3e6fd4d3f492 + true + Point + Point + false + 0 + + + + + + 7561 + 11432 + 53 + 20 + + + 7589 + 11442 + + + + + + + + Tangent vector at the specified length + 98ca8695-b0c5-4236-a503-faf06329e2f1 + true + Tangent + Tangent + false + 0 + + + + + + 7561 + 11452 + 53 + 20 + + + 7589 + 11462 + + + + + + + + Curve parameter at the specified length + 85e2222a-f72c-455b-9f7d-ad9174d12ced + true + Parameter + Parameter + false + 0 + + + + + + 7561 + 11472 + 53 + 20 + + + 7589 + 11482 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 88da7dd8-48a3-442c-b0fe-a2283162f1a8 + true + Mirror + Mirror + + + + + + 7475 + 11368 + 138 + 44 + + + 7543 + 11390 + + + + + + Base geometry + 7e98a09c-5499-419a-b48e-28b274c49a40 + true + Geometry + Geometry + true + 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce + 1 + + + + + + 7477 + 11370 + 51 + 20 + + + 7504 + 11380 + + + + + + + + Mirror plane + a5998f59-8108-48ed-b93c-8b823b73f96f + true + Plane + Plane + false + 56aba84a-d5fd-49e5-bf0b-31f24d888335 + 1 + + + + + + 7477 + 11390 + 51 + 20 + + + 7504 + 11400 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 279ff27c-0e38-4bd1-ab73-d0f2790603a9 + true + Geometry + Geometry + false + 0 + + + + + + 7558 + 11370 + 53 + 20 + + + 7586 + 11380 + + + + + + + + Transformation data + 22d28a0d-510a-4c97-a170-cb359301b85c + true + Transform + Transform + false + 0 + + + + + + 7558 + 11390 + 53 + 20 + + + 7586 + 11400 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 3f8a7473-ad12-405b-8893-ae8b1f21e4a1 + true + Line SDL + Line SDL + + + + + + 7491 + 11514 + 106 + 64 + + + 7555 + 11546 + + + + + + Line start point + 3d4b817f-c67c-4580-b892-a1486475a39c + true + Start + Start + false + 19a2408d-1ef1-431f-afe2-3e6fd4d3f492 + 1 + + + + + + 7493 + 11516 + 47 + 20 + + + 7518 + 11526 + + + + + + + + Line tangent (direction) + 936a4b72-6ef5-4a8b-8b90-7ac9aa2337e0 + true + Direction + Direction + false + 98ca8695-b0c5-4236-a503-faf06329e2f1 + 1 + + + + + + 7493 + 11536 + 47 + 20 + + + 7518 + 11546 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 94072402-a3c4-461a-a39a-1163a08ac70b + true + Length + Length + false + 0 + + + + + + 7493 + 11556 + 47 + 20 + + + 7518 + 11566 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 56aba84a-d5fd-49e5-bf0b-31f24d888335 + true + Line + Line + false + 0 + + + + + + 7570 + 11516 + 25 + 60 + + + 7584 + 11546 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + a51bfa4f-4375-4769-990a-a88b58714f3a + true + Join Curves + Join Curves + + + + + + 7485 + 11306 + 118 + 44 + + + 7548 + 11328 + + + + + + 1 + Curves to join + 400027b4-9a0d-4bb8-a5e5-721d23960873 + true + Curves + Curves + false + 1c039c5a-d3c7-4c49-a2ec-4c96a3fc43ce + 279ff27c-0e38-4bd1-ab73-d0f2790603a9 + 2 + + + + + + 7487 + 11308 + 46 + 20 + + + 7511.5 + 11318 + + + + + + + + Preserve direction of input curves + f764d3f3-be14-4355-8960-34f2dde1e276 + true + Preserve + Preserve + false + 0 + + + + + + 7487 + 11328 + 46 + 20 + + + 7511.5 + 11338 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 + true + Curves + Curves + false + 0 + + + + + + 7563 + 11308 + 38 + 40 + + + 7583.5 + 11328 + + + + + + + + + + + + 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 + d73207e8-cffe-4689-9165-3f2f493c2334 + true + Evaluate Length + Evaluate Length + + + + + + 7472 + 11222 + 144 + 64 + + + 7546 + 11254 + + + + + + Curve to evaluate + 19d63261-381e-42f5-9ee8-ec3e0edbd60e + true + Curve + Curve + false + 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 + 1 + + + + + + 7474 + 11224 + 57 + 20 + + + 7504 + 11234 + + + + + + + + Length factor for curve evaluation + 78f25b48-fe55-4bb4-8676-1db9d6cb7ece + true + Length + Length + false + 0 + + + + + + 7474 + 11244 + 57 + 20 + + + 7504 + 11254 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 4bd50774-ced2-4190-95e3-e15a7d9865eb + true + Normalized + Normalized + false + 0 + + + + + + 7474 + 11264 + 57 + 20 + + + 7504 + 11274 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 6c5691fe-b064-4cd5-a1a2-56215bb0e129 + true + Point + Point + false + 0 + + + + + + 7561 + 11224 + 53 + 20 + + + 7589 + 11234 + + + + + + + + Tangent vector at the specified length + ace258e5-519d-4272-beeb-13d7696b185f + true + Tangent + Tangent + false + 0 + + + + + + 7561 + 11244 + 53 + 20 + + + 7589 + 11254 + + + + + + + + Curve parameter at the specified length + b5806fa6-398f-4cf4-88c4-78d36b0e1362 + true + Parameter + Parameter + false + 0 + + + + + + 7561 + 11264 + 53 + 20 + + + 7589 + 11274 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 037cd549-441a-4d1d-bda2-c859f4f5de54 + true + Rotate + Rotate + + + + + + 7475 + 11139 + 138 + 64 + + + 7543 + 11171 + + + + + + Base geometry + 78522879-98b3-432f-aa05-0398091bdea5 + true + Geometry + Geometry + true + 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 + 1 + + + + + + 7477 + 11141 + 51 + 20 + + + 7504 + 11151 + + + + + + + + Rotation angle in radians + ac9a0cd7-2476-40ce-a2b8-27e1cd46363f + true + Angle + Angle + false + 0 + false + + + + + + 7477 + 11161 + 51 + 20 + + + 7504 + 11171 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 2b4b9912-63ef-4b46-802c-5a2d388bc9eb + true + Plane + Plane + false + 6c5691fe-b064-4cd5-a1a2-56215bb0e129 + 1 + + + + + + 7477 + 11181 + 51 + 20 + + + 7504 + 11191 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + d1c1a2ba-3617-429d-bd4e-427409fd3815 + true + Geometry + Geometry + false + 0 + + + + + + 7558 + 11141 + 53 + 30 + + + 7586 + 11156 + + + + + + + + Transformation data + 034f35ca-41d8-43a0-95d6-b20888c9c10a + true + Transform + Transform + false + 0 + + + + + + 7558 + 11171 + 53 + 30 + + + 7586 + 11186 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + d3f62d39-d3b6-4eda-9fda-e54910bad6d8 + true + Join Curves + Join Curves + + + + + + 7485 + 11076 + 118 + 44 + + + 7548 + 11098 + + + + + + 1 + Curves to join + 344c7316-9b7c-4145-b1f2-0ee64f841c6d + true + Curves + Curves + false + 5f6c3928-ff01-4443-b4b9-a6964a9b5be9 + d1c1a2ba-3617-429d-bd4e-427409fd3815 + 2 + + + + + + 7487 + 11078 + 46 + 20 + + + 7511.5 + 11088 + + + + + + + + Preserve direction of input curves + f3859b6b-7f02-4f66-8f5e-595257ce68b6 + true + Preserve + Preserve + false + 0 + + + + + + 7487 + 11098 + 46 + 20 + + + 7511.5 + 11108 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 86449467-1510-4ece-8e14-83b5355ce74e + true + Curves + Curves + false + 0 + + + + + + 7563 + 11078 + 38 + 40 + + + 7583.5 + 11098 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 152e67d0-a077-408a-ae94-36f4b0baccba + e4aec249-cfaf-4604-8644-19109b45a59d + 88da7dd8-48a3-442c-b0fe-a2283162f1a8 + 3f8a7473-ad12-405b-8893-ae8b1f21e4a1 + a51bfa4f-4375-4769-990a-a88b58714f3a + d73207e8-cffe-4689-9165-3f2f493c2334 + 037cd549-441a-4d1d-bda2-c859f4f5de54 + d3f62d39-d3b6-4eda-9fda-e54910bad6d8 + 10dfccba-b58f-42f8-a31f-68b35f0b5128 + accb7566-1c4f-472e-95ae-bf5b9b0e62fb + fe8fda7a-61a0-4712-ad3e-8e26eaf5a221 + 653b9b1f-4388-4601-9964-cb0f37000c42 + dfe2545b-c3c0-46a7-addc-20709cae7a4d + 56e8a40e-11a7-4931-84ec-68eda6076c5e + 7101556a-3ae8-4013-a010-ecff577fe9b9 + 15 + 6ef3dd47-35c9-4a57-84e7-9e7cdb582fd6 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a352dd57-ca14-43a7-bdf0-c74f0212a36c + true + Panel + + false + 0 + 78143443-bf79-4a8c-8ab6-357fb7242d83 + 1 + Double click to edit panel content… + + + + + + 7475 + 13711 + 145 + 20 + + 0 + 0 + 0 + + 7475.325 + 13711.46 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 10dfccba-b58f-42f8-a31f-68b35f0b5128 + true + Curve + Curve + false + 86449467-1510-4ece-8e14-83b5355ce74e + 1 + + + + + + 7523 + 11039 + 50 + 24 + + + 7548.904 + 11051.04 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 10dfccba-b58f-42f8-a31f-68b35f0b5128 + 1 + 6147e27d-d278-4100-bd0c-2d9bf58f804b + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 19fcc16d-49a9-4381-afd9-07d700c4d873 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 7328 + 13919 + 439 + 20 + + 0 + 0 + 0 + + 7328.886 + 13919.55 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 4ba9af09-5608-439b-abb2-0972c2c3aac1 + true + Evaluate Length + Evaluate Length + + + + + + 7472 + 10950 + 144 + 64 + + + 7546 + 10982 + + + + + + Curve to evaluate + db52062f-afe5-499b-8743-ea16d9dbd725 + true + Curve + Curve + false + 86449467-1510-4ece-8e14-83b5355ce74e + 1 + + + + + + 7474 + 10952 + 57 + 20 + + + 7504 + 10962 + + + + + + + + Length factor for curve evaluation + 4db536a5-0a95-42f7-bfdf-69bc94e2270a + true + Length + Length + false + 0 + + + + + + 7474 + 10972 + 57 + 20 + + + 7504 + 10982 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 7668b981-3ee7-4536-90c6-d1d6fc18eda8 + true + Normalized + Normalized + false + 0 + + + + + + 7474 + 10992 + 57 + 20 + + + 7504 + 11002 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + c45727d9-9652-45f2-b8a3-0f2ff6c71d4f + true + Point + Point + false + 0 + + + + + + 7561 + 10952 + 53 + 20 + + + 7589 + 10962 + + + + + + + + Tangent vector at the specified length + 29924098-f00e-4497-9d52-82f2d8c9d457 + true + Tangent + Tangent + false + 0 + + + + + + 7561 + 10972 + 53 + 20 + + + 7589 + 10982 + + + + + + + + Curve parameter at the specified length + 7a9f0a25-3d37-4cc1-8860-32f72acd4937 + true + Parameter + Parameter + false + 0 + + + + + + 7561 + 10992 + 53 + 20 + + + 7589 + 11002 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + f239b077-0be7-44f3-80e9-7c5fec9c1cf4 + true + Expression + Expression + + + + + + 7447 + 10728 + 194 + 28 + + + 7547 + 10742 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 67f40f1f-3a7f-4d93-824c-045af7db3f3b + true + Variable O + O + true + 7cf59001-1478-4b32-93da-0b3ec82ce6c9 + 1 + + + + + + 7449 + 10730 + 14 + 24 + + + 7457.5 + 10742 + + + + + + + + Result of expression + c69a8903-0631-4c09-8993-ece5764d020a + true + Result + + false + 0 + + + + + + 7630 + 10730 + 9 + 24 + + + 7636 + 10742 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 78a25c84-d10a-4ec1-9371-11d33679bb8d + true + Deconstruct + Deconstruct + + + + + + 7478 + 10862 + 132 + 64 + + + 7525 + 10894 + + + + + + Input point + e9d79ec2-a2b1-43c9-a6ef-e196dff932cc + true + Point + Point + false + c45727d9-9652-45f2-b8a3-0f2ff6c71d4f + 1 + + + + + + 7480 + 10864 + 30 + 60 + + + 7496.5 + 10894 + + + + + + + + Point {x} component + 7cf59001-1478-4b32-93da-0b3ec82ce6c9 + true + X component + X component + false + 0 + + + + + + 7540 + 10864 + 68 + 20 + + + 7575.5 + 10874 + + + + + + + + Point {y} component + e2587423-7fc1-4e29-8b3d-d6975ffbfc44 + true + Y component + Y component + false + 0 + + + + + + 7540 + 10884 + 68 + 20 + + + 7575.5 + 10894 + + + + + + + + Point {z} component + ad1e1483-8922-4c0c-8f49-bf1affc11d9b + true + Z component + Z component + false + 0 + + + + + + 7540 + 10904 + 68 + 20 + + + 7575.5 + 10914 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1d9bc771-2e15-4b94-a341-e87b0877df92 + true + Panel + + false + 0 + c69a8903-0631-4c09-8993-ece5764d020a + 1 + Double click to edit panel content… + + + + + + 7467 + 10704 + 160 + 20 + + 0 + 0 + 0 + + 7467.674 + 10704.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b4343695-12cd-4656-b416-0a59bc755dc7 + true + Expression + Expression + + + + + + 7447 + 10642 + 194 + 28 + + + 7547 + 10656 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 248ad927-5d01-496a-bf47-5b58cb9883c1 + true + Variable O + O + true + e2587423-7fc1-4e29-8b3d-d6975ffbfc44 + 1 + + + + + + 7449 + 10644 + 14 + 24 + + + 7457.5 + 10656 + + + + + + + + Result of expression + bb0bcfa5-250a-411a-9caf-ecc8f7b569b4 + true + Result + + false + 0 + + + + + + 7630 + 10644 + 9 + 24 + + + 7636 + 10656 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 610dfbfd-76bc-4ae1-b235-8480bf3d07bc + true + Panel + + false + 0 + bb0bcfa5-250a-411a-9caf-ecc8f7b569b4 + 1 + Double click to edit panel content… + + + + + + 7467 + 10616 + 160 + 20 + + 0 + 0 + 0 + + 7467.674 + 10616.19 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 38bcc71c-4564-474e-b422-b9edfd11ec76 + true + Division + Division + + + + + + 7503 + 10540 + 82 + 44 + + + 7534 + 10562 + + + + + + Item to divide (dividend) + 002843b8-1aeb-4c80-983d-7824d5601781 + true + A + A + false + 1d9bc771-2e15-4b94-a341-e87b0877df92 + 1 + + + + + + 7505 + 10542 + 14 + 20 + + + 7513.5 + 10552 + + + + + + + + Item to divide with (divisor) + 4bcf65f3-db93-4356-9e70-85d19dc8e368 + true + B + B + false + 610dfbfd-76bc-4ae1-b235-8480bf3d07bc + 1 + + + + + + 7505 + 10562 + 14 + 20 + + + 7513.5 + 10572 + + + + + + + + The result of the Division + b80b96b0-52fb-4029-a310-f7797ea530e1 + true + Result + Result + false + 0 + + + + + + 7549 + 10542 + 34 + 40 + + + 7567.5 + 10562 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 04684392-c231-4803-96a2-0b45d4eceeff + true + Panel + + false + 0 + 78143443-bf79-4a8c-8ab6-357fb7242d83 + 1 + Double click to edit panel content… + + + + + + 7467 + 10468 + 160 + 20 + + 0 + 0 + 0 + + 7467.914 + 10468.68 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 04965399-0049-4a69-96f7-cd6e227acae9 + true + Expression + Expression + + + + + + 7447 + 10493 + 194 + 28 + + + 7547 + 10507 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 69ca5661-0ed8-4c13-8737-2947ea5a6fad + true + Variable O + O + true + b80b96b0-52fb-4029-a310-f7797ea530e1 + 1 + + + + + + 7449 + 10495 + 14 + 24 + + + 7457.5 + 10507 + + + + + + + + Result of expression + 924b61c6-1db0-46ef-a68e-b5dffce525cb + true + Result + + false + 0 + + + + + + 7630 + 10495 + 9 + 24 + + + 7636 + 10507 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 78143443-bf79-4a8c-8ab6-357fb7242d83 + true + Relay + + false + 924b61c6-1db0-46ef-a68e-b5dffce525cb + 1 + + + + + + 7524 + 10418 + 40 + 16 + + + 7544 + 10426 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 8fe7bbce-0836-4790-b068-eb14beedc8e6 + true + Addition + Addition + + + + + + 7503 + 10355 + 82 + 44 + + + 7534 + 10377 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 823200d7-0516-438c-9c01-4f3d8a3251e7 + true + A + A + true + 610dfbfd-76bc-4ae1-b235-8480bf3d07bc + 1 + + + + + + 7505 + 10357 + 14 + 20 + + + 7513.5 + 10367 + + + + + + + + Second item for addition + 3c4dcf86-3ac0-4a44-bafa-81400fd44800 + true + B + B + true + 1d9bc771-2e15-4b94-a341-e87b0877df92 + 1 + + + + + + 7505 + 10377 + 14 + 20 + + + 7513.5 + 10387 + + + + + + + + Result of addition + 2703236f-c04a-4075-8124-52cdfec5854e + true + Result + Result + false + 0 + + + + + + 7549 + 10357 + 34 + 40 + + + 7567.5 + 10377 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 35dbe435-c549-4a59-a6e6-2791d1611515 + true + Division + Division + + + + + + 7503 + 10205 + 82 + 44 + + + 7534 + 10227 + + + + + + Item to divide (dividend) + 08cd7422-6498-4bc2-a6ee-6c0bb15e4d5a + true + A + A + false + 157f3ccd-a904-49ed-ab92-b91ac0a128b3 + 1 + + + + + + 7505 + 10207 + 14 + 20 + + + 7513.5 + 10217 + + + + + + + + Item to divide with (divisor) + 4af1bed2-6df8-421f-8a72-4c007a673027 + true + B + B + false + 0 + + + + + + 7505 + 10227 + 14 + 20 + + + 7513.5 + 10237 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 956cc589-b6f3-4664-855a-0538ee3fabdf + true + Result + Result + false + 0 + + + + + + 7549 + 10207 + 34 + 40 + + + 7567.5 + 10227 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1b7a9e9e-38d9-42ad-974f-a2fe4ede79ac + true + Expression + Expression + + + + + + 7447 + 10157 + 194 + 28 + + + 7547 + 10171 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3239cb9b-da3a-4ff0-9524-2af031f2c3d5 + true + Variable O + O + true + 956cc589-b6f3-4664-855a-0538ee3fabdf + 1 + + + + + + 7449 + 10159 + 14 + 24 + + + 7457.5 + 10171 + + + + + + + + Result of expression + 6cf1d172-594f-4b44-8332-11d6a47375aa + true + Result + + false + 0 + + + + + + 7630 + 10159 + 9 + 24 + + + 7636 + 10171 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6f2328a6-1197-4fad-88b8-fe947c5630c5 + true + Panel + + false + 0 + 6cf1d172-594f-4b44-8332-11d6a47375aa + 1 + Double click to edit panel content… + + + + + + 7467 + 10132 + 160 + 20 + + 0 + 0 + 0 + + 7467.674 + 10132.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 157f3ccd-a904-49ed-ab92-b91ac0a128b3 + true + Panel + + false + 0 + 00bbf7ce-5d6e-4aa3-ab60-66750ab27aa1 + 1 + Double click to edit panel content… + + + + + + 7467 + 10284 + 160 + 20 + + 0 + 0 + 0 + + 7467.674 + 10284.45 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 2ad9750f-95e1-4da5-8ff7-e3d2fc4b9d28 + true + Expression + Expression + + + + + + 7447 + 10308 + 194 + 28 + + + 7547 + 10322 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + ec194f59-87b8-4adb-8203-205f9021d77c + true + Variable O + O + true + 2703236f-c04a-4075-8124-52cdfec5854e + 1 + + + + + + 7449 + 10310 + 14 + 24 + + + 7457.5 + 10322 + + + + + + + + Result of expression + 00bbf7ce-5d6e-4aa3-ab60-66750ab27aa1 + true + Result + + false + 0 + + + + + + 7630 + 10310 + 9 + 24 + + + 7636 + 10322 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + f2b68385-5c09-4829-a4df-6ad0d978d896 + true + Scale + Scale + + + + + + 7467 + 10034 + 154 + 64 + + + 7551 + 10066 + + + + + + Base geometry + 7fb32e9e-7e44-4c5d-9d6d-817aa34f2341 + true + Geometry + Geometry + true + 10dfccba-b58f-42f8-a31f-68b35f0b5128 + 1 + + + + + + 7469 + 10036 + 67 + 20 + + + 7512 + 10046 + + + + + + + + Center of scaling + 48d2d4b3-2014-4a46-afb7-205e6cabfb63 + true + Center + Center + false + 0 + + + + + + 7469 + 10056 + 67 + 20 + + + 7512 + 10066 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + ae3ce625-5e79-4a0b-96f4-3c1c370ba334 + 1/X + true + Factor + Factor + false + 6f2328a6-1197-4fad-88b8-fe947c5630c5 + 1 + + + + + + 7469 + 10076 + 67 + 20 + + + 7512 + 10086 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + e1002a7b-90bf-4236-84b5-44ee63cc2881 + true + Geometry + Geometry + false + 0 + + + + + + 7566 + 10036 + 53 + 30 + + + 7594 + 10051 + + + + + + + + Transformation data + 06873b5f-aee3-48e4-b8f0-7a5a8123938c + true + Transform + Transform + false + 0 + + + + + + 7566 + 10066 + 53 + 30 + + + 7594 + 10081 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 5494d448-a9bd-4b32-86e1-470ecb156672 + true + Curve + Curve + false + e1002a7b-90bf-4236-84b5-44ee63cc2881 + 1 + + + + + + 7521 + 9438 + 50 + 24 + + + 7546.654 + 9450.042 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 211da4c9-6ce1-4ffa-a619-50942fe2ea47 + true + Expression + Expression + + + + + + 7447 + 10815 + 194 + 28 + + + 7547 + 10829 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 283fa460-f5bd-4f52-a61c-da3517f2abae + true + Variable O + O + true + ad1e1483-8922-4c0c-8f49-bf1affc11d9b + 1 + + + + + + 7449 + 10817 + 14 + 24 + + + 7457.5 + 10829 + + + + + + + + Result of expression + 87cecad4-c03d-431d-b2ca-a857bf731f5d + true + Result + + false + 0 + + + + + + 7630 + 10817 + 9 + 24 + + + 7636 + 10829 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0837d549-965a-4c9e-9064-4edc1c2772c6 + true + Panel + + false + 0 + 87cecad4-c03d-431d-b2ca-a857bf731f5d + 1 + Double click to edit panel content… + + + + + + 7468 + 10790 + 160 + 20 + + 0 + 0 + 0 + + 7468.544 + 10790.39 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + e8c07d05-d369-4254-b811-1f30c9c5ef96 + true + Evaluate Length + Evaluate Length + + + + + + 7472 + 9824 + 144 + 64 + + + 7546 + 9856 + + + + + + Curve to evaluate + a67b6611-847a-42e5-9773-7122bbc5a32a + true + Curve + Curve + false + e1002a7b-90bf-4236-84b5-44ee63cc2881 + 1 + + + + + + 7474 + 9826 + 57 + 20 + + + 7504 + 9836 + + + + + + + + Length factor for curve evaluation + c1ec3f7b-d5ac-44cd-9db5-6d41bc71d6be + true + Length + Length + false + 0 + + + + + + 7474 + 9846 + 57 + 20 + + + 7504 + 9856 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + a31a6e08-17ec-4f4c-9c9b-42ffc0e29aed + true + Normalized + Normalized + false + 0 + + + + + + 7474 + 9866 + 57 + 20 + + + 7504 + 9876 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + be65b05f-37fc-4121-b745-2151f44dfb4f + true + Point + Point + false + 0 + + + + + + 7561 + 9826 + 53 + 20 + + + 7589 + 9836 + + + + + + + + Tangent vector at the specified length + e40d3e65-1f56-421c-b71e-095aa0bc8130 + true + Tangent + Tangent + false + 0 + + + + + + 7561 + 9846 + 53 + 20 + + + 7589 + 9856 + + + + + + + + Curve parameter at the specified length + 5a66186e-5337-461c-8305-a95585464884 + true + Parameter + Parameter + false + 0 + + + + + + 7561 + 9866 + 53 + 20 + + + 7589 + 9876 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 32e80d34-20c3-4524-aeab-e61fe36a3f90 + true + Expression + Expression + + + + + + 7447 + 9607 + 194 + 28 + + + 7547 + 9621 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2ad359b4-8500-4ef7-8081-b4ba973deb08 + true + Variable O + O + true + 9eba3d88-8a63-4552-aec0-5149ad24f8ea + 1 + + + + + + 7449 + 9609 + 14 + 24 + + + 7457.5 + 9621 + + + + + + + + Result of expression + 261632eb-a174-47e1-8130-a97e79b5d3fc + true + Result + + false + 0 + + + + + + 7630 + 9609 + 9 + 24 + + + 7636 + 9621 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 5945a555-b422-4b9c-a4a1-5ee679a7de49 + true + Deconstruct + Deconstruct + + + + + + 7478 + 9741 + 132 + 64 + + + 7525 + 9773 + + + + + + Input point + 62f80c5e-6384-4db1-a090-23257662161b + true + Point + Point + false + be65b05f-37fc-4121-b745-2151f44dfb4f + 1 + + + + + + 7480 + 9743 + 30 + 60 + + + 7496.5 + 9773 + + + + + + + + Point {x} component + 9eba3d88-8a63-4552-aec0-5149ad24f8ea + true + X component + X component + false + 0 + + + + + + 7540 + 9743 + 68 + 20 + + + 7575.5 + 9753 + + + + + + + + Point {y} component + e0d9b1ae-3321-4281-b572-8a83b7412e09 + true + Y component + Y component + false + 0 + + + + + + 7540 + 9763 + 68 + 20 + + + 7575.5 + 9773 + + + + + + + + Point {z} component + d85a06fa-27ff-4935-8e84-1338352118e9 + true + Z component + Z component + false + 0 + + + + + + 7540 + 9783 + 68 + 20 + + + 7575.5 + 9793 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ac728063-c096-41a7-9b68-e71ad04383f6 + true + Panel + + false + 0 + 261632eb-a174-47e1-8130-a97e79b5d3fc + 1 + Double click to edit panel content… + + + + + + 7467 + 9577 + 160 + 20 + + 0 + 0 + 0 + + 7467.924 + 9577.962 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + afe3b516-b00d-403d-9a6a-4859e35e5cb0 + true + Expression + Expression + + + + + + 7447 + 9521 + 194 + 28 + + + 7547 + 9535 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + a2aac36d-007e-4f37-9ea3-9df71af43073 + true + Variable O + O + true + e0d9b1ae-3321-4281-b572-8a83b7412e09 + 1 + + + + + + 7449 + 9523 + 14 + 24 + + + 7457.5 + 9535 + + + + + + + + Result of expression + 67d9f50c-864c-4ff9-87c0-c697b83c89ad + true + Result + + false + 0 + + + + + + 7630 + 9523 + 9 + 24 + + + 7636 + 9535 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1f6fe439-c332-4e07-a762-280f166f72fc + true + Panel + + false + 0 + 67d9f50c-864c-4ff9-87c0-c697b83c89ad + 1 + Double click to edit panel content… + + + + + + 7467 + 9492 + 160 + 20 + + 0 + 0 + 0 + + 7467.936 + 9492.333 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d4ee0d3f-fb2e-4f6d-b04c-9eb8d93f8221 + true + Expression + Expression + + + + + + 7447 + 9693 + 194 + 28 + + + 7547 + 9707 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 50a89f62-c4f4-426c-a88f-2c46b325d60c + true + Variable O + O + true + d85a06fa-27ff-4935-8e84-1338352118e9 + 1 + + + + + + 7449 + 9695 + 14 + 24 + + + 7457.5 + 9707 + + + + + + + + Result of expression + 225865a7-8c6f-4066-a8a0-71558bfcf515 + true + Result + + false + 0 + + + + + + 7630 + 9695 + 9 + 24 + + + 7636 + 9707 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 203013c3-86ac-4a38-a910-e737d2189433 + true + Panel + + false + 0 + 225865a7-8c6f-4066-a8a0-71558bfcf515 + 1 + Double click to edit panel content… + + + + + + 7467 + 9664 + 160 + 20 + + 0 + 0 + 0 + + 7467.674 + 9664.173 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2f56db63-146f-405e-b3c3-c44caed0f203 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 7366 + 13998 + 379 + 104 + + 0 + 0 + 0 + + 7366.33 + 13998.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 16366958-9805-4b42-a54b-9f5d58291fee + true + Panel + + false + 0 + 8b325d0a-58f0-42c0-a1b6-7bf3107f6d6b + 1 + Double click to edit panel content… + + + + + + 7379 + 12027 + 337 + 276 + + 0 + 0 + 0 + + 7379.865 + 12027.96 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5ae063e1-5715-4087-b7ea-26de32862c2b + true + Expression + Expression + + + + + + 7447 + 12315 + 194 + 28 + + + 7547 + 12329 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 6c812f22-cf07-4628-86a0-9fd562b56201 + true + Variable O + O + true + 1a7f5de6-38f3-4d31-8db7-4a12c24c79d7 + 1 + + + + + + 7449 + 12317 + 14 + 24 + + + 7457.5 + 12329 + + + + + + + + Result of expression + 8b325d0a-58f0-42c0-a1b6-7bf3107f6d6b + true + Result + + false + 0 + + + + + + 7630 + 12317 + 9 + 24 + + + 7636 + 12329 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 88b8ffb1-067f-4ad4-ae02-6871e4a07719 + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 7537 + 14526 + 50 + 24 + + + 7562.255 + 14538.57 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + bde10973-4f64-4daf-87dd-d7e70ef59615 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 7375 + 12597 + 160 + 224 + + + 7443 + 12709 + + + + + + 1 + One or multiple graph curves to graph map values with + b9135103-354b-462a-987e-0b7805936c91 + true + Curves + Curves + false + 620f4604-c9b2-4225-ab41-aaf06f6c632a + 1 + + + + + + 7377 + 12599 + 51 + 27 + + + 7404 + 12612.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 431efbc9-cf4a-4ca2-a719-b47d0cca7834 + true + Rectangle + Rectangle + false + cd5062c1-61ba-40e7-bc08-0ca8b6df2254 + 1 + + + + + + 7377 + 12626 + 51 + 28 + + + 7404 + 12640.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 727f04cf-92e4-4ac6-8e5e-68bde4e9f02a + true + Values + Values + false + 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 + 1 + + + + + + 7377 + 12654 + 51 + 27 + + + 7404 + 12667.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + f1f89f04-68a9-4e96-9e77-146d28cbe839 + true + X Axis + X Axis + true + 0 + + + + + + 7377 + 12681 + 51 + 28 + + + 7404 + 12695.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 78d4774e-f302-420f-ba03-07b37356019f + true + Y Axis + Y Axis + true + 0 + + + + + + 7377 + 12709 + 51 + 27 + + + 7404 + 12722.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + b31b9dd8-22b0-4844-b067-8bcace4fb10c + true + Flip + Flip + false + 0 + + + + + + 7377 + 12736 + 51 + 28 + + + 7404 + 12750.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + f7c60b43-f11a-4183-b4e9-18f50a795e75 + true + Snap + Snap + false + 0 + + + + + + 7377 + 12764 + 51 + 27 + + + 7404 + 12777.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + f1b3dfb7-82ab-4f35-b8e9-350ec3a05e0d + true + Text Size + Text Size + false + 0 + + + + + + 7377 + 12791 + 51 + 28 + + + 7404 + 12805.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 749b8b54-b38e-490b-86d6-0135fb7658d1 + true + Mapped + Mapped + false + 0 + + + + + + 7458 + 12599 + 75 + 20 + + + 7497 + 12609 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 8dc92799-241a-45de-908a-586408029cc2 + true + Graph Curves + Graph Curves + false + 0 + + + + + + 7458 + 12619 + 75 + 20 + + + 7497 + 12629 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 0cb90479-7814-4040-858e-089f941fc548 + true + Graph Points + Graph Points + false + 0 + + + + + + 7458 + 12639 + 75 + 20 + + + 7497 + 12649 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 9468e129-8994-4b59-b943-f3c4671e9266 + true + Value Lines + Value Lines + false + 0 + + + + + + 7458 + 12659 + 75 + 20 + + + 7497 + 12669 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + c83182f9-5eb6-418a-9deb-a687a5a6600d + true + Value Points + Value Points + false + 0 + + + + + + 7458 + 12679 + 75 + 20 + + + 7497 + 12689 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 5865a8c1-b707-4a10-a53b-727facfdbd27 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 7458 + 12699 + 75 + 20 + + + 7497 + 12709 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 6cadb3c3-7944-46a8-8aac-56528131a29e + true + Mapped Points + Mapped Points + false + 0 + + + + + + 7458 + 12719 + 75 + 20 + + + 7497 + 12729 + + + + + + + + The graph boundary background as a surface + 6ce3ffae-5663-49f5-9e29-70aa40d33d7e + true + Boundary + Boundary + false + 0 + + + + + + 7458 + 12739 + 75 + 20 + + + 7497 + 12749 + + + + + + + + 1 + The graph labels as curve outlines + 8b44dc8d-2938-4ad6-916a-5974e712b904 + true + Labels + Labels + false + 0 + + + + + + 7458 + 12759 + 75 + 20 + + + 7497 + 12769 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + fd226bed-9da9-41a0-8e58-de7792a107eb + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 7458 + 12779 + 75 + 20 + + + 7497 + 12789 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + d5e4a6a9-3e45-49c1-b1e4-84d3903e7e04 + true + Intersected + Intersected + false + 0 + + + + + + 7458 + 12799 + 75 + 20 + + + 7497 + 12809 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + f1db56f7-3181-47e5-9ebd-1808819c1a93 + true + End Points + End Points + + + + + + 7496 + 13022 + 96 + 44 + + + 7546 + 13044 + + + + + + Curve to evaluate + 6c04a5d0-01f6-4331-9cc4-d14b5cd21a9d + true + Curve + Curve + false + 620f4604-c9b2-4225-ab41-aaf06f6c632a + 1 + + + + + + 7498 + 13024 + 33 + 40 + + + 7516 + 13044 + + + + + + + + Curve start point + 2b5ed4c8-213e-4697-a381-3918ac9dbfbb + true + Start + Start + false + 0 + + + + + + 7561 + 13024 + 29 + 20 + + + 7577 + 13034 + + + + + + + + Curve end point + 90f707ef-2045-4ac5-989e-65bc04910535 + true + End + End + false + 0 + + + + + + 7561 + 13044 + 29 + 20 + + + 7577 + 13054 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + b2a2f048-d933-4b9a-802e-81a5e9054879 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 7481 + 12920 + 126 + 84 + + + 7539 + 12962 + + + + + + Rectangle base plane + 96feecab-6ceb-4211-8e03-3c6f6d7ad1bb + true + Plane + Plane + false + 0 + + + + + + 7483 + 12922 + 41 + 20 + + + 7505 + 12932 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 8884988e-e986-43c7-b6d0-09a307ff3b93 + true + Point A + Point A + false + 2b5ed4c8-213e-4697-a381-3918ac9dbfbb + 1 + + + + + + 7483 + 12942 + 41 + 20 + + + 7505 + 12952 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 0b20b7af-14e2-4cdd-95ec-59b516ba7deb + true + Point B + Point B + false + 90f707ef-2045-4ac5-989e-65bc04910535 + 1 + + + + + + 7483 + 12962 + 41 + 20 + + + 7505 + 12972 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 284ad67c-88a6-4977-8d59-fa10fbcc728b + true + Radius + Radius + false + 0 + + + + + + 7483 + 12982 + 41 + 20 + + + 7505 + 12992 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + cd5062c1-61ba-40e7-bc08-0ca8b6df2254 + true + Rectangle + Rectangle + false + 0 + + + + + + 7554 + 12922 + 51 + 40 + + + 7581 + 12942 + + + + + + + + Length of rectangle curve + 1704d891-c56a-4edd-a448-c40633072f39 + true + Length + Length + false + 0 + + + + + + 7554 + 12962 + 51 + 40 + + + 7581 + 12982 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + fc350524-ba4b-42e1-b3be-b2e6eb1e659e + true + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 7535 + 12717 + 126 + 104 + + + 7602 + 12769 + + + + + + External curve as a graph + 39a567f2-e6ca-44e3-a4d0-bd4ff9b1af56 + true + Curve + Curve + false + 620f4604-c9b2-4225-ab41-aaf06f6c632a + 1 + + + + + + 7537 + 12719 + 50 + 20 + + + 7563.5 + 12729 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + e05f3b49-4b57-44be-8304-d9752afb3129 + true + Boundary + Boundary + true + cd5062c1-61ba-40e7-bc08-0ca8b6df2254 + 1 + + + + + + 7537 + 12739 + 50 + 20 + + + 7563.5 + 12749 + + + + + + + + 1 + List of input numbers + 231a71f6-2ca9-4149-b62b-d1905f2bb6e2 + true + Numbers + Numbers + false + 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 + 1 + + + + + + 7537 + 12759 + 50 + 20 + + + 7563.5 + 12769 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + b16456ab-4d82-4226-93e1-16cda0318deb + true + Input + Input + true + e797e490-c7b9-4597-930b-c8696eeb879e + 1 + + + + + + 7537 + 12779 + 50 + 20 + + + 7563.5 + 12789 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 335554e0-2b77-4e9a-9da3-6ac7303318f3 + true + Output + Output + true + e797e490-c7b9-4597-930b-c8696eeb879e + 1 + + + + + + 7537 + 12799 + 50 + 20 + + + 7563.5 + 12809 + + + + + + + + 1 + Output Numbers + 55233cdb-263e-4f06-8f12-88194a7dc032 + true + Number + Number + false + 0 + + + + + + 7617 + 12719 + 42 + 100 + + + 7639.5 + 12769 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + c0eece22-6db9-450a-84da-b6446c00f6e7 + true + Stream Filter + Stream Filter + + + + + + 7510 + 12514 + 89 + 64 + + + 7555 + 12546 + + + + + + 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 + c3900b5d-eedd-4dc1-9dc6-b2ecca19523f + true + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 7512 + 12516 + 28 + 20 + + + 7527.5 + 12526 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + ff17ea2d-1547-4060-be01-e1f56ce0678b + true + false + Stream 0 + 0 + true + 749b8b54-b38e-490b-86d6-0135fb7658d1 + 1 + + + + + + 7512 + 12536 + 28 + 20 + + + 7527.5 + 12546 + + + + + + + + 2 + Input stream at index 1 + e321a03c-647a-4cbd-9296-2143d405dba1 + true + false + Stream 1 + 1 + true + 55233cdb-263e-4f06-8f12-88194a7dc032 + 1 + + + + + + 7512 + 12556 + 28 + 20 + + + 7527.5 + 12566 + + + + + + + + 2 + Filtered stream + 9fb6c367-789d-4429-b55c-b390791391fd + true + false + Stream + S(1) + false + 0 + + + + + + 7570 + 12516 + 27 + 60 + + + 7585 + 12546 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + ebd5302f-d62d-47d8-bd9f-a5c55eb9d9e2 + true + Number Slider + + false + 0 + + + + + + 7478 + 12439 + 150 + 20 + + + 7478.294 + 12439.56 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5e8d1927-3e40-48e5-b130-19494db5d000 + true + Panel + + false + 1 + 8f364de1-b7e7-4578-aab1-55dfe4fa0dd1 + 1 + Double click to edit panel content… + + + + + + 7458 + 13214 + 185 + 271 + + 0 + 0 + 0 + + 7458.365 + 13214.82 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + a7804f21-ef86-4385-9b58-89ada0927d45 + true + Bounds + Bounds + + + + + + 7485 + 13161 + 122 + 28 + + + 7549 + 13175 + + + + + + 1 + Numbers to include in Bounds + 00ec7155-9f58-4f96-bb4a-df1e7b52cb44 + true + Numbers + Numbers + false + 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 + 1 + + + + + + 7487 + 13163 + 47 + 24 + + + 7512 + 13175 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + e797e490-c7b9-4597-930b-c8696eeb879e + true + Domain + Domain + false + 0 + + + + + + 7564 + 13163 + 41 + 24 + + + 7586 + 13175 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + bd253782-5888-4882-b26c-d089e5f118eb + true + Expression + Expression + + + + + + 7447 + 13575 + 194 + 28 + + + 7547 + 13589 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d4f23f43-91dd-4f7f-9a50-a0f5e7cdcc05 + true + Variable O + O + true + 0ad6ebd3-9bff-422b-b1c8-620ae7f18fd1 + 1 + + + + + + 7449 + 13577 + 14 + 24 + + + 7457.5 + 13589 + + + + + + + + Result of expression + 8f364de1-b7e7-4578-aab1-55dfe4fa0dd1 + true + Result + + false + 0 + + + + + + 7630 + 13577 + 9 + 24 + + + 7636 + 13589 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 57eb5ebf-a05f-4bb4-9967-b7b3c1687c8c + true + Expression + Expression + + + + + + 7361 + 13789 + 367 + 28 + + + 7547 + 13803 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 72e0a842-1f26-4d8a-9230-90678f4e51e4 + true + Variable O + O + true + 2e500c78-c54a-4ee9-9dc5-2a16260d83ce + 1 + + + + + + 7363 + 13791 + 14 + 24 + + + 7371.5 + 13803 + + + + + + + + Result of expression + ce276144-033b-4828-84de-119527b4e8a7 + true + Result + + false + 0 + + + + + + 7717 + 13791 + 9 + 24 + + + 7723 + 13803 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2102b6f6-7762-401d-b96b-e1b63393697b + true + Panel + + false + 0 + ce276144-033b-4828-84de-119527b4e8a7 + 1 + Double click to edit panel content… + + + + + + 7458 + 13751 + 179 + 20 + + 0 + 0 + 0 + + 7458.504 + 13751.68 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + bdda6eac-8b5e-4083-a014-e412699ab434 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 51c29661-5f00-4270-8e5d-51bb166711f7 + true + Scale + Scale + + + + + + 7467 + 9949 + 154 + 64 + + + 7551 + 9981 + + + + + + Base geometry + 4954fbcf-ce99-483a-927c-4260a5d275b8 + true + Geometry + Geometry + true + 653b9b1f-4388-4601-9964-cb0f37000c42 + 1 + + + + + + 7469 + 9951 + 67 + 20 + + + 7512 + 9961 + + + + + + + + Center of scaling + 718f7a66-71a9-4e17-8fb8-90910579c5c7 + true + Center + Center + false + 0 + + + + + + 7469 + 9971 + 67 + 20 + + + 7512 + 9981 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 6af61342-b613-4e04-9efa-e5c467207810 + 1/X + true + Factor + Factor + false + 6f2328a6-1197-4fad-88b8-fe947c5630c5 + 1 + + + + + + 7469 + 9991 + 67 + 20 + + + 7512 + 10001 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 760de91d-5d97-4083-aa56-7dd74c45bd70 + true + Geometry + Geometry + false + 0 + + + + + + 7566 + 9951 + 53 + 30 + + + 7594 + 9966 + + + + + + + + Transformation data + a2505763-ea80-48aa-9643-dd62f69a75fc + true + Transform + Transform + false + 0 + + + + + + 7566 + 9981 + 53 + 30 + + + 7594 + 9996 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 92fba1b4-6fcd-49c0-9172-b5cd7ee1712b + true + Point + Point + false + 760de91d-5d97-4083-aa56-7dd74c45bd70 + 1 + + + + + + 7522 + 9916 + 50 + 24 + + + 7547.654 + 9928.212 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + ce5697fc-79fa-4cd1-9822-346f09145cf9 + true + Mirror + Mirror + + + + + + 7489 + 9309 + 138 + 44 + + + 7557 + 9331 + + + + + + Base geometry + febbf835-e2ea-4900-91ad-5006c61de3b7 + true + Geometry + Geometry + true + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + + + + + + 7491 + 9311 + 51 + 20 + + + 7518 + 9321 + + + + + + + + Mirror plane + 364d9328-2306-438c-bd7d-8b49fd8bf32e + true + Plane + Plane + false + 0 + + + + + + 7491 + 9331 + 51 + 20 + + + 7518 + 9341 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 5c69e156-6394-4c54-82c6-5cde48ae47cc + true + Geometry + Geometry + false + 0 + + + + + + 7572 + 9311 + 53 + 20 + + + 7600 + 9321 + + + + + + + + Transformation data + c3a2fa55-fe7c-47de-b6bc-f741c45a0b17 + true + Transform + Transform + false + 0 + + + + + + 7572 + 9331 + 53 + 20 + + + 7600 + 9341 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 289362ef-c456-475f-a4a5-7610e305e8d9 + true + Curve + Curve + false + 3b382b54-9bc9-4959-a883-d04a5002518d + 1 + + + + + + 7538 + 9207 + 50 + 24 + + + 7563.904 + 9219.222 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 620f4604-c9b2-4225-ab41-aaf06f6c632a + true + Relay + + false + 26d7535a-4156-4451-9c50-40afd7e85fd7 + 1 + + + + + + 7526 + 13089 + 40 + 16 + + + 7546 + 13097 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 879e5696-96c6-42cb-af24-fa0abdae663d + true + Curve + Curve + false + 654c0ab1-b14e-4de4-bed5-84f08c62833b + 1 + + + + + + 7092 + 13483 + 50 + 24 + + + 7117.403 + 13495.68 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 26d7535a-4156-4451-9c50-40afd7e85fd7 + true + Curve + Curve + false + 13b6e180-4b83-4157-8193-af265fe3ae92 + 1 + + + + + + 7091 + 13193 + 50 + 24 + + + 7116.5 + 13205.83 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 384b46ce-30e8-4d44-97a1-a03503d802b4 + true + Scale + Scale + + + + + + 7036 + 13228 + 154 + 64 + + + 7120 + 13260 + + + + + + Base geometry + 0694b910-5c39-4000-b6c5-861a755ce964 + true + Geometry + Geometry + true + 879e5696-96c6-42cb-af24-fa0abdae663d + 1 + + + + + + 7038 + 13230 + 67 + 20 + + + 7081 + 13240 + + + + + + + + Center of scaling + 376624b9-b0fa-4aec-9866-51a2413dda29 + true + Center + Center + false + 0 + + + + + + 7038 + 13250 + 67 + 20 + + + 7081 + 13260 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 307cbdab-010d-4c0c-8196-3ab04cd777e0 + 2^X + true + Factor + Factor + false + 4bbdaea1-5551-4ab2-911a-d23c202e61b0 + 1 + + + + + + 7038 + 13270 + 67 + 20 + + + 7081 + 13280 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 13b6e180-4b83-4157-8193-af265fe3ae92 + true + Geometry + Geometry + false + 0 + + + + + + 7135 + 13230 + 53 + 30 + + + 7163 + 13245 + + + + + + + + Transformation data + 5c6566e0-3b09-493c-989b-16204b0fdad8 + true + Transform + Transform + false + 0 + + + + + + 7135 + 13260 + 53 + 30 + + + 7163 + 13275 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 879e5696-96c6-42cb-af24-fa0abdae663d + 26d7535a-4156-4451-9c50-40afd7e85fd7 + 384b46ce-30e8-4d44-97a1-a03503d802b4 + 27899f96-8899-44d3-a06c-50d23c4c5623 + 4dc7bcc7-5910-4821-b3a9-9c406ad94215 + 7d19420a-9c9b-4759-80ad-6014ae313ab8 + 81158720-bb50-43f1-9088-66dce4c36f28 + d7b476c4-a7ee-4401-9e6e-7eec391f2b89 + 4bbdaea1-5551-4ab2-911a-d23c202e61b0 + 797bda74-90d7-46e9-ac0c-d7d7648f6440 + 22fd4b81-9e88-42b4-814a-e63ab43f594b + 11 + 04ceed38-ed46-46cb-9346-2fa1b74bcf17 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 34abd1c9-c536-44ad-8046-d4107bdabe6c + true + Move + Move + + + + + + 7489 + 9245 + 138 + 44 + + + 7557 + 9267 + + + + + + Base geometry + b484cdc5-ec24-4370-a67e-738d9cc791db + true + Geometry + Geometry + true + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + + + + + + 7491 + 9247 + 51 + 20 + + + 7518 + 9257 + + + + + + + + Translation vector + 86fa2a3a-b9eb-40af-8ffe-875a2280e76e + true + Motion + Motion + false + 0 + + + + + + 7491 + 9267 + 51 + 20 + + + 7518 + 9277 + + + + + + 1 + + + + + 1 + {0} + + + + + + 7.5 + 0 + 0 + + + + + + + + + + + + Translated geometry + 3b382b54-9bc9-4959-a883-d04a5002518d + true + Geometry + Geometry + false + 0 + + + + + + 7572 + 9247 + 53 + 20 + + + 7600 + 9257 + + + + + + + + Transformation data + 0bd32124-105b-419a-b729-013f3c3881cc + true + Transform + Transform + false + 0 + + + + + + 7572 + 9267 + 53 + 20 + + + 7600 + 9277 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 4dc7bcc7-5910-4821-b3a9-9c406ad94215 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 6989 + 13440 + 250 + 20 + + + 6989.229 + 13440.06 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7d19420a-9c9b-4759-80ad-6014ae313ab8 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 7048 + 13318 + 144 + 20 + + 0 + 0 + 0 + + 7048.967 + 13318.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 81158720-bb50-43f1-9088-66dce4c36f28 + true + Curve + Curve + false + 0 + + + + + + 7091 + 13150 + 50 + 24 + + + 7116.5 + 13162.83 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d7b476c4-a7ee-4401-9e6e-7eec391f2b89 + true + Curve + Curve + false + 0 + + + + + + 7095 + 13620 + 50 + 24 + + + 7120 + 13632.78 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fcbee14a-4d93-4cf2-b3db-3ad085292274 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 7328 + 13962 + 439 + 20 + + 0 + 0 + 0 + + 7328.886 + 13962.15 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 5b0dc039-c379-4b69-b183-c35d14dfb12a + true + End Points + End Points + + + + + + 7914 + 9940 + 96 + 44 + + + 7964 + 9962 + + + + + + Curve to evaluate + 21c6857a-2bd3-408a-acdc-43fe9720a5c1 + true + Curve + Curve + false + 86b4e4b6-71b5-4a82-8d28-6b0279fe4e92 + 1 + + + + + + 7916 + 9942 + 33 + 40 + + + 7934 + 9962 + + + + + + + + Curve start point + f36d4b80-4ba9-469a-911d-ecce3fc3735e + true + Start + Start + false + 0 + + + + + + 7979 + 9942 + 29 + 20 + + + 7995 + 9952 + + + + + + + + Curve end point + 5a98d27e-8c17-4c11-b77d-5566adc782f6 + true + End + End + false + 0 + + + + + + 7979 + 9962 + 29 + 20 + + + 7995 + 9972 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 6ef4a988-536b-4f39-beb0-56f227c59e41 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 7899 + 9837 + 126 + 84 + + + 7957 + 9879 + + + + + + Rectangle base plane + ffc942fb-fb6d-45a5-894c-025f4a62a69b + true + Plane + Plane + false + 0 + + + + + + 7901 + 9839 + 41 + 20 + + + 7923 + 9849 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + a7ba301c-c27d-46e2-98e5-f5fbc04314d1 + true + Point A + Point A + false + f36d4b80-4ba9-469a-911d-ecce3fc3735e + 1 + + + + + + 7901 + 9859 + 41 + 20 + + + 7923 + 9869 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + be8ade80-82dc-41d6-a354-14237df4856c + true + Point B + Point B + false + 5a98d27e-8c17-4c11-b77d-5566adc782f6 + 1 + + + + + + 7901 + 9879 + 41 + 20 + + + 7923 + 9889 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 16b7f1d7-87cd-4f97-b32d-f4947664234b + true + Radius + Radius + false + 0 + + + + + + 7901 + 9899 + 41 + 20 + + + 7923 + 9909 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 1eceb20d-1e58-45a1-82a8-324db5623b2f + true + Rectangle + Rectangle + false + 0 + + + + + + 7972 + 9839 + 51 + 40 + + + 7999 + 9859 + + + + + + + + Length of rectangle curve + 6894ffb6-08bf-4f64-96bb-54dc822f0167 + true + Length + Length + false + 0 + + + + + + 7972 + 9879 + 51 + 40 + + + 7999 + 9899 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + 34d1b0b8-7e06-4481-8b88-e5dc3e59deba + true + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 7891 + 9754 + 142 + 64 + + + 7959 + 9786 + + + + + + Rectangle to deconstruct + b0596a45-b198-4d45-9a01-aa7e51f8d16e + true + Rectangle + Rectangle + false + 1eceb20d-1e58-45a1-82a8-324db5623b2f + 1 + + + + + + 7893 + 9756 + 51 + 60 + + + 7920 + 9786 + + + + + + + + Base plane of rectangle + 5b80bcb2-007d-4951-81f5-936b7a4c8ce0 + true + Base Plane + Base Plane + false + 0 + + + + + + 7974 + 9756 + 57 + 20 + + + 8004 + 9766 + + + + + + + + Size interval along base plane X axis + d834c604-6ed5-424c-938b-87006d8709ac + true + X Interval + X Interval + false + 0 + + + + + + 7974 + 9776 + 57 + 20 + + + 8004 + 9786 + + + + + + + + Size interval along base plane Y axis + e3b6c265-94b2-40eb-a5ae-d6ade5062c54 + true + Y Interval + Y Interval + false + 0 + + + + + + 7974 + 9796 + 57 + 20 + + + 8004 + 9806 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + b512e8df-c804-43fa-80f5-c035b2e44c88 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 7910 + 9627 + 104 + 44 + + + 7968 + 9649 + + + + + + Base domain + e12dfecf-5c94-4290-bcf1-e79a8b8d931f + true + Domain + Domain + false + e3b6c265-94b2-40eb-a5ae-d6ade5062c54 + 1 + + + + + + 7912 + 9629 + 41 + 40 + + + 7934 + 9649 + + + + + + + + Start of domain + a32712df-acc1-4612-aae2-e8972fbc0c13 + true + Start + Start + false + 0 + + + + + + 7983 + 9629 + 29 + 20 + + + 7999 + 9639 + + + + + + + + End of domain + 3846c5ef-f7ac-4be0-8f98-7bbd1d85c72d + true + End + End + false + 0 + + + + + + 7983 + 9649 + 29 + 20 + + + 7999 + 9659 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + ff341083-07d1-4673-b7ef-ea33fa9113c2 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 7910 + 9689 + 104 + 44 + + + 7968 + 9711 + + + + + + Base domain + 52face86-c092-4a6a-8981-f5746caeb508 + true + Domain + Domain + false + d834c604-6ed5-424c-938b-87006d8709ac + 1 + + + + + + 7912 + 9691 + 41 + 40 + + + 7934 + 9711 + + + + + + + + Start of domain + 801fc7ee-0c00-4a12-b6e8-7c424fd809ab + true + Start + Start + false + 0 + + + + + + 7983 + 9691 + 29 + 20 + + + 7999 + 9701 + + + + + + + + End of domain + ba151bf0-3b2f-42b7-8bb1-e60c19f6f016 + true + End + End + false + 0 + + + + + + 7983 + 9711 + 29 + 20 + + + 7999 + 9721 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + ec0664dc-e2c7-4226-b0d4-35822abd6b61 + true + Scale NU + Scale NU + + + + + + 7885 + 9504 + 154 + 104 + + + 7969 + 9556 + + + + + + Base geometry + 3b5f720d-e677-4be9-93c8-d7e772a936fa + true + Geometry + Geometry + true + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + + + + + + 7887 + 9506 + 67 + 20 + + + 7930 + 9516 + + + + + + + + Base plane + b96a577d-6f3c-440d-a07c-594ffc43b82f + true + Plane + Plane + false + 0 + + + + + + 7887 + 9526 + 67 + 20 + + + 7930 + 9536 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 471f130f-7163-4b0c-a9fd-2cc441bbc2b5 + 1/X + true + Scale X + Scale X + false + ba151bf0-3b2f-42b7-8bb1-e60c19f6f016 + 1 + + + + + + 7887 + 9546 + 67 + 20 + + + 7930 + 9556 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + f34bfbdc-7c6d-4568-9fae-4875e068c889 + 1/X + true + Scale Y + Scale Y + false + 3846c5ef-f7ac-4be0-8f98-7bbd1d85c72d + 1 + + + + + + 7887 + 9566 + 67 + 20 + + + 7930 + 9576 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + a0d7b568-554b-4107-b7fa-24b37aa30afb + true + Scale Z + Scale Z + false + 0 + + + + + + 7887 + 9586 + 67 + 20 + + + 7930 + 9596 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + fb90415c-1b41-44c2-84d3-02937171eb06 + true + Geometry + Geometry + false + 0 + + + + + + 7984 + 9506 + 53 + 50 + + + 8012 + 9531 + + + + + + + + Transformation data + 1e389f63-658b-4bde-bb18-246e33882f38 + true + Transform + Transform + false + 0 + + + + + + 7984 + 9556 + 53 + 50 + + + 8012 + 9581 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5b0dc039-c379-4b69-b183-c35d14dfb12a + 6ef4a988-536b-4f39-beb0-56f227c59e41 + 34d1b0b8-7e06-4481-8b88-e5dc3e59deba + b512e8df-c804-43fa-80f5-c035b2e44c88 + ff341083-07d1-4673-b7ef-ea33fa9113c2 + ec0664dc-e2c7-4226-b0d4-35822abd6b61 + 86b4e4b6-71b5-4a82-8d28-6b0279fe4e92 + b09beea0-b303-4bd8-86ed-e165609c0970 + 26d0d500-b462-4c99-872b-9726e16594d3 + e9fafb6a-dcd6-496c-a636-30117cb488ef + 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d + 9e8d26b2-7e97-48ec-ae49-67a48ce8ebf7 + 12 + 5db88eb8-c00e-4933-a6bf-404c9e6b6bf8 + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 86b4e4b6-71b5-4a82-8d28-6b0279fe4e92 + true + Curve + Curve + false + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + + + + + + 7940 + 10013 + 50 + 24 + + + 7965.545 + 10025.43 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + b09beea0-b303-4bd8-86ed-e165609c0970 + true + Curve + Curve + false + fb90415c-1b41-44c2-84d3-02937171eb06 + 1 + + + + + + 7940 + 9451 + 50 + 24 + + + 7965.329 + 9463.678 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 26d0d500-b462-4c99-872b-9726e16594d3 + true + Move + Move + + + + + + 7891 + 9251 + 138 + 44 + + + 7959 + 9273 + + + + + + Base geometry + aad31805-b7c4-4dad-b9fd-3613cbb04142 + true + Geometry + Geometry + true + b09beea0-b303-4bd8-86ed-e165609c0970 + 1 + + + + + + 7893 + 9253 + 51 + 20 + + + 7920 + 9263 + + + + + + + + Translation vector + 1dfdf926-8087-497d-be92-6f601ca931c5 + true + Motion + Motion + false + 184eb17b-e291-4ca3-a3c1-560f57675d83 + 1 + + + + + + 7893 + 9273 + 51 + 20 + + + 7920 + 9283 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 7b99d806-1719-451d-92aa-49432beecc18 + true + Geometry + Geometry + false + 0 + + + + + + 7974 + 9253 + 53 + 20 + + + 8002 + 9263 + + + + + + + + Transformation data + 77a44bf2-d8be-423d-8647-1885d329d7f2 + true + Transform + Transform + false + 0 + + + + + + 7974 + 9273 + 53 + 20 + + + 8002 + 9283 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e9fafb6a-dcd6-496c-a636-30117cb488ef + true + Curve + Curve + false + 7b99d806-1719-451d-92aa-49432beecc18 + 1 + + + + + + 7937 + 9207 + 50 + 24 + + + 7962.66 + 9219.891 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 93165403-b153-4c9f-aa6c-af2b0dfc68a1 + true + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 7329 + 14123 + 439 + 22 + + 0 + 0 + 0 + + 7329.191 + 14123.11 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 8f0b6eae-1a0a-427d-bc2e-a6cd6fa9ecf4 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 7421 + 14273 + 251 + 20 + + + 7421.796 + 14273.51 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f1d26d4e-614c-44e1-a5e3-4264daf1c7ec + true + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 7328 + 14182 + 439 + 20 + + 0 + 0 + 0 + + 7328.636 + 14182.15 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + accb7566-1c4f-472e-95ae-bf5b9b0e62fb + true + Point + Point + false + fe8fda7a-61a0-4712-ad3e-8e26eaf5a221 + 1 + + + + + + 7544 + 11898 + 50 + 24 + + + 7569.611 + 11910.24 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fe8fda7a-61a0-4712-ad3e-8e26eaf5a221 + true + Relay + + false + 1a7f5de6-38f3-4d31-8db7-4a12c24c79d7 + 1 + + + + + + 7548 + 11945 + 40 + 16 + + + 7568 + 11953 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 653b9b1f-4388-4601-9964-cb0f37000c42 + true + Relay + + false + cf3b5cee-2d7d-43f1-bf8d-d5bf6e23c663 + 1 + + + + + + 7548 + 11722 + 40 + 16 + + + 7568 + 11730 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + dfe2545b-c3c0-46a7-addc-20709cae7a4d + true + Scale + Scale + + + + + + 7491 + 11758 + 154 + 64 + + + 7575 + 11790 + + + + + + Base geometry + c83d92e1-4911-4bb4-b076-76d374c7a22c + true + Geometry + Geometry + true + accb7566-1c4f-472e-95ae-bf5b9b0e62fb + 1 + + + + + + 7493 + 11760 + 67 + 20 + + + 7536 + 11770 + + + + + + + + Center of scaling + be49679d-77d6-4a82-a2b4-a5912884c691 + true + Center + Center + false + 0 + + + + + + 7493 + 11780 + 67 + 20 + + + 7536 + 11790 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 1186895b-b730-42f7-aab4-2274fa434fd2 + 2^X + true + Factor + Factor + false + 7101556a-3ae8-4013-a010-ecff577fe9b9 + 1 + + + + + + 7493 + 11800 + 67 + 20 + + + 7536 + 11810 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + cf3b5cee-2d7d-43f1-bf8d-d5bf6e23c663 + true + Geometry + Geometry + false + 0 + + + + + + 7590 + 11760 + 53 + 30 + + + 7618 + 11775 + + + + + + + + Transformation data + 2abb8b43-7a59-4444-a311-300dc7b8e056 + true + Transform + Transform + false + 0 + + + + + + 7590 + 11790 + 53 + 30 + + + 7618 + 11805 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 7101556a-3ae8-4013-a010-ecff577fe9b9 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 7449 + 11842 + 250 + 20 + + + 7449.391 + 11842.6 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + accb7566-1c4f-472e-95ae-bf5b9b0e62fb + 1 + 56e8a40e-11a7-4931-84ec-68eda6076c5e + Group + Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4bbdaea1-5551-4ab2-911a-d23c202e61b0 + true + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 7097 + 13406 + 40 + 16 + + + 7117 + 13414 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 797bda74-90d7-46e9-ac0c-d7d7648f6440 + true + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 7046 + 13369 + 144 + 20 + + 0 + 0 + 0 + + 7046.223 + 13369.37 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 5653c313-d529-43a0-bfca-d8e5d3a366c3 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 7421 + 14225 + 251 + 20 + + + 7421.796 + 14225.26 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 9e8d26b2-7e97-48ec-ae49-67a48ce8ebf7 + true + Vector XYZ + Vector XYZ + + + + + + 7891 + 9337 + 139 + 64 + + + 7976 + 9369 + + + + + + Vector {x} component + 81abd812-c99e-4e18-b6d3-42f829e562ef + true + X component + X component + false + 0 + + + + + + 7893 + 9339 + 68 + 20 + + + 7928.5 + 9349 + + + + + + 1 + + + + + 1 + {0} + + + + + 7.5 + + + + + + + + + + + Vector {y} component + 9cef1672-929f-4639-9fc5-0b549cc8f135 + true + Y component + Y component + false + 0 + + + + + + 7893 + 9359 + 68 + 20 + + + 7928.5 + 9369 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5 + + + + + + + + + + + Vector {z} component + a365c0e0-9e55-4524-a3b4-d67262f224d3 + true + Z component + Z component + false + 0 + + + + + + 7893 + 9379 + 68 + 20 + + + 7928.5 + 9389 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 184eb17b-e291-4ca3-a3c1-560f57675d83 + true + Vector + Vector + false + 0 + + + + + + 7991 + 9339 + 37 + 30 + + + 8011 + 9354 + + + + + + + + Vector length + 326befbc-5d30-41fe-a27d-2666691685f0 + true + Length + Length + false + 0 + + + + + + 7991 + 9369 + 37 + 30 + + + 8011 + 9384 + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 7df1562a-5592-4dee-b24d-499aa859f494 + Number + Number + false + b56666d6-9797-4a5c-90a4-d2e1b18ecfdc + 1 + + + + + + 11486 + 23554 + 50 + 24 + + + 11511.84 + 23566.8 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + b56666d6-9797-4a5c-90a4-d2e1b18ecfdc + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.00000212430 + + + + + + 11385 + 23601 + 251 + 20 + + + 11385.66 + 23601.24 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7df1562a-5592-4dee-b24d-499aa859f494 + b56666d6-9797-4a5c-90a4-d2e1b18ecfdc + cd2b1132-cbf4-4723-9453-261983046e3b + e48d37a4-31d8-475b-b2b4-409089413c61 + ca0b4c8e-f4b8-419c-846a-9f1a9863bf4b + d375b5ca-e8b1-4d1a-8abb-3fd34cb27870 + 7b693454-2db5-44a3-9c4a-cc11487e6907 + 3a650aef-6a0b-4f56-bc6c-8e2ab6306e69 + ffaefc29-5720-4d1d-8f74-3ff88cea009f + 4582f1fd-2c5d-4691-98fe-d8499b5fe9f4 + 10 + 470e5d54-1943-4d5a-a09a-6ad9e37a917e + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + bb7c6e56-db88-4b95-97d6-7f9c63deab58 + Relay + + false + 8381622f-1691-48ed-8659-5a932a2a725a + 1 + + + + + + 2876 + 12423 + 40 + 16 + + + 2896 + 12431 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + dc3d55d3-969a-4cf8-b13b-b7109ec1f5c7 + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 4323 + 13764 + 40 + 16 + + + 4343 + 13772 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2d9e9ed7-5b0d-4a60-8faf-5f95198768de + true + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 5901 + 13853 + 40 + 16 + + + 5921 + 13861 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 73264b8a-92e1-4ec9-82b0-0fb1b2df3af9 + true + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 7527 + 13883 + 40 + 16 + + + 7547 + 13891 + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 4fc4ca98-3632-4ea7-9a66-0d0a0417032f + Stream Filter + Stream Filter + + + + + + 3878 + 13415 + 89 + 64 + + + 3923 + 13447 + + + + + + 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 + 4ad0d972-c083-4e81-b648-501e0555e6fb + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 3880 + 13417 + 28 + 20 + + + 3895.5 + 13427 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 2f6757f9-2115-40dc-a3b8-fed2fb7cb880 + false + Stream 0 + 0 + true + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 1 + + + + + + 3880 + 13437 + 28 + 20 + + + 3895.5 + 13447 + + + + + + + + 2 + Input stream at index 1 + 45f0b560-e107-4da1-95b8-b8d765e00ee8 + false + Stream 1 + 1 + true + f32e469d-5411-4757-a641-2639d4f5739a + 1 + + + + + + 3880 + 13457 + 28 + 20 + + + 3895.5 + 13467 + + + + + + + + 2 + Filtered stream + 3255d013-8457-40e7-99eb-8125533f5f6e + false + Stream + S(1) + false + 0 + + + + + + 3938 + 13417 + 27 + 60 + + + 3953 + 13447 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + cd2b1132-cbf4-4723-9453-261983046e3b + Number Slider + + false + 0 + + + + + + 11436 + 23638 + 150 + 20 + + + 11436.02 + 23638.43 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 57d8cf5a-d653-4aa1-b5d2-37aa860a7191 + true + Stream Filter + Stream Filter + + + + + + 5450 + 13499 + 89 + 64 + + + 5495 + 13531 + + + + + + 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 + e921a3c1-c298-43af-af1d-60450de43d88 + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 5452 + 13501 + 28 + 20 + + + 5467.5 + 13511 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 8a5bfd21-afc6-4e24-a4be-8a04e9965fbf + true + false + Stream 0 + 0 + true + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + + + + + + 5452 + 13521 + 28 + 20 + + + 5467.5 + 13531 + + + + + + + + 2 + Input stream at index 1 + 95a27953-e6af-4547-973a-9ad61e9e3e29 + true + false + Stream 1 + 1 + true + 92872ee8-e7ec-4b2a-b425-fe4d823e6b35 + 1 + + + + + + 5452 + 13541 + 28 + 20 + + + 5467.5 + 13551 + + + + + + + + 2 + Filtered stream + 3a2182b2-50af-4963-b72c-d9b7f51dec82 + true + false + Stream + S(1) + false + 0 + + + + + + 5510 + 13501 + 27 + 60 + + + 5525 + 13531 + + + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 22fd4b81-9e88-42b4-814a-e63ab43f594b + true + Stream Filter + Stream Filter + + + + + + 7075 + 13535 + 89 + 64 + + + 7120 + 13567 + + + + + + 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 + eb98b8c6-65c3-4943-887f-73279d875c6d + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 7077 + 13537 + 28 + 20 + + + 7092.5 + 13547 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + f372417e-2c16-4eb2-b311-5330f544cc87 + true + false + Stream 0 + 0 + true + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + + + + + + 7077 + 13557 + 28 + 20 + + + 7092.5 + 13567 + + + + + + + + 2 + Input stream at index 1 + b1165c29-73a3-4e82-93cd-6078ceabf33c + true + false + Stream 1 + 1 + true + ffec4d71-4ff5-4e80-877f-78e4fee070d7 + 1 + + + + + + 7077 + 13577 + 28 + 20 + + + 7092.5 + 13587 + + + + + + + + 2 + Filtered stream + 654c0ab1-b14e-4de4-bed5-84f08c62833b + true + false + Stream + S(1) + false + 0 + + + + + + 7135 + 13537 + 27 + 60 + + + 7150 + 13567 + + + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 2838bbe3-f818-4f76-ae8b-6a38a11cfbd8 + true + Stream Filter + Stream Filter + + + + + + 19296 + 13458 + 89 + 64 + + + 19341 + 13490 + + + + + + 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 + 1d67c641-6b48-4b4c-9635-5e588d776d87 + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 19298 + 13460 + 28 + 20 + + + 19313.5 + 13470 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 6242a1ca-eab8-40ba-b1d5-645bbee476b3 + true + false + Stream 0 + 0 + true + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 1 + + + + + + 19298 + 13480 + 28 + 20 + + + 19313.5 + 13490 + + + + + + + + 2 + Input stream at index 1 + 742cf4a0-966c-4f7f-8069-3310cff9d408 + true + false + Stream 1 + 1 + true + 9cdccbe3-88c1-4358-b357-52199f288269 + 1 + + + + + + 19298 + 13500 + 28 + 20 + + + 19313.5 + 13510 + + + + + + + + 2 + Filtered stream + 791bd61f-9221-4811-b56f-f55006c9145e + true + false + Stream + S(1) + false + 0 + + + + + + 19356 + 13460 + 27 + 60 + + + 19371 + 13490 + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + c8993beb-b45b-4c31-9990-7eb86ffdc60d + 1208fa26-35cd-449c-8bab-d5024ce56926 + e9fa65ea-db30-4e31-abf4-2dd776fcae3e + 9acdadaa-96e4-4e3f-b354-95632380b4b1 + 993a4bbf-a82f-4209-b544-cec1a75b5c95 + 30884d74-7a79-4131-9e30-3d6188286538 + 6 + 5e2e255b-9ddc-4e75-b99f-a774482a0931 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d1981487-8ad8-40de-95d2-2dfd11bb02ca + 6ad47e04-c775-4a57-a73e-2ed7b095038c + f954a659-5062-447e-9158-d5051bfbdea3 + b53d1f77-608a-4c61-9559-4eb316076796 + ba14223b-9856-48cc-a64a-ea001a07bc7b + 4c4f6f4e-770b-4771-818a-433699bdebfa + a643dd61-7fdb-409d-903c-79805a46b9a4 + d37d7f72-8b27-495f-b2d9-2ad63b616116 + e4dc0d57-9ce6-4836-938f-9116521f833c + e050872a-8764-467a-a1e9-bb04d939de45 + 30b2c23f-8683-4fef-996c-03f6aa1e9afe + 219c0fa8-912a-49ba-8b85-0f746c3c66f9 + e7b831aa-68e9-44d9-8efc-496946509db9 + 6927ab14-0ec8-425e-a84f-02340f79d740 + c224342c-801f-4459-9224-44879ddf539f + 24c12657-9231-42d5-962e-3459238abf6b + 3aeaa679-c8fa-47a2-b9c3-1868572b291c + c227a8ff-262c-4247-b446-6a6a409dbb5b + 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 9dd91ab6-75a6-48ce-93cd-2b30e34153fb + 2355ed38-5d29-469d-a4c3-14ee6ab32283 + 84ce8d06-633a-4b85-9d58-99f099ae4242 + 80d375d4-8b07-4dee-8779-6702412242e0 + 44d495d1-0282-469c-bae8-1b7b114e82aa + 141df525-4941-4245-9dbb-7aa96ad0ef17 + 82650166-1a70-400b-ba95-f48c82cf522a + a04706b6-5974-46f2-8142-af0e5eb2e404 + 13ca4a8a-17a9-474d-8d12-e869ded133d6 + d64cd4a9-d31e-4b3c-906c-9e3339a4665b + 8313ef34-90a3-4468-9c25-12254136998b + 172ff63d-e54e-444f-834d-cfeef2a85dc7 + 307c6d55-e3a7-42a1-b0db-9f791b11eff0 + 4935389c-f07e-4524-8242-4a47ef4fb7f9 + 4613d0c7-efad-43cd-941c-5cf519f01adc + 803d6eef-8fc3-4891-b72a-0d1509b172b5 + ace18051-a13a-43c1-b49d-1eb9257a0199 + 83bcd048-d0fa-430f-8b3b-500b492ac590 + d7b860ab-9124-433b-ae6c-b3d14e797346 + f8da6e13-27a9-441f-82bb-751c752b32bf + c118a0fa-1192-4a02-bd3c-43ff79e6d313 + 720b6578-cc9c-48d0-9307-02714aaef24b + 9180f22d-6524-4aae-91d0-10a92e93f8c1 + 3c01166c-f0a6-4a88-93ac-c5c19c376a87 + 213a0814-ab74-42a4-9fdb-216c876eec66 + b226b6d8-5cd2-4cef-86d7-b36c65b97de6 + f67d9f4c-56da-41d5-8c82-7441814e2c85 + c611f570-ad63-4756-a6fb-1677ee1128e3 + 0a8930ac-b09d-4f87-b49c-2f40967ade30 + caced6a5-77f5-4a1f-87e5-7a507a1ae158 + 50f612ca-6a0a-47b4-8fc9-bad763a08dc9 + f85f3458-b345-4cb9-b89c-3dfad93a636a + 6b93d7d0-45fb-45a0-bea0-8005836d7e60 + 1d906e19-2e90-4b08-a90d-ac1b5243f4af + 9f1bed51-60ef-42bf-8096-04570ace019e + b7772b7e-c7ba-400e-91c0-2338ccd91e6b + d1624b40-e462-4048-8f8d-3f14c45083a9 + 90499343-ea4d-48db-8ecd-c73332b983b6 + 73fd317c-8b54-429b-91b1-65298c28a8ba + b45428d6-2c80-4814-993d-02f4893b26a6 + b6b196ef-2842-4803-b7c1-49fe08c11203 + cd0aa9c7-f698-4083-8c48-93e774e27f13 + 5d39145e-2afd-40c3-9f19-3be03cd8e940 + d92ee07f-096c-44bd-9f99-31909c8fc35b + 1f9c820d-c6a5-4943-b20d-bc4eaa2943a8 + ffab67ab-18ec-45a4-aa0f-a657ab7a28ad + da61e8d2-e7e5-424f-aba4-e696dcf5d685 + 44b8b5fa-fa61-4ad1-9bee-b17fe91ef637 + 697fad89-ed0c-4b19-a017-0f7aa40a3970 + 2e222f5d-dddb-46ef-a284-074cfd8fbb0d + 50873f75-0d1e-4717-8482-3b5d9a8fd067 + 3677150c-4996-4121-8acc-6eff251fa7ab + 0c583e97-0764-47e8-a8bd-7880cc07c232 + 46c776c4-7ca3-4b86-b1e5-54d4aaaa19b3 + 1c12ee8d-94ec-462b-a5bc-882f08df648a + 9aff4bc8-d0ea-4611-905e-7d68dfdef9d9 + f83e7873-fd7d-4508-923c-0a1ccf1f5173 + 627b51c5-9ba6-4062-990b-d2644fab7d08 + 8f563cb8-9910-4e8f-8b51-d6a1eb025af6 + b3d7308b-bd5a-4724-b108-23089d3defeb + 1d83bc70-a220-4c43-aab3-dfcbb61a9a4c + ac94063c-4ea8-4bd7-a1d9-331c5dae31b4 + 99ca1918-5b9f-48be-a244-7eba09c2a10c + 83 + fc459a7c-1cd5-42a1-ac87-0a9258ade1b4 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6ad47e04-c775-4a57-a73e-2ed7b095038c + f954a659-5062-447e-9158-d5051bfbdea3 + b53d1f77-608a-4c61-9559-4eb316076796 + ba14223b-9856-48cc-a64a-ea001a07bc7b + 4c4f6f4e-770b-4771-818a-433699bdebfa + a643dd61-7fdb-409d-903c-79805a46b9a4 + d37d7f72-8b27-495f-b2d9-2ad63b616116 + e4dc0d57-9ce6-4836-938f-9116521f833c + e050872a-8764-467a-a1e9-bb04d939de45 + 30b2c23f-8683-4fef-996c-03f6aa1e9afe + 219c0fa8-912a-49ba-8b85-0f746c3c66f9 + e7b831aa-68e9-44d9-8efc-496946509db9 + 6927ab14-0ec8-425e-a84f-02340f79d740 + c224342c-801f-4459-9224-44879ddf539f + 24c12657-9231-42d5-962e-3459238abf6b + 3aeaa679-c8fa-47a2-b9c3-1868572b291c + c227a8ff-262c-4247-b446-6a6a409dbb5b + 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 9dd91ab6-75a6-48ce-93cd-2b30e34153fb + 2355ed38-5d29-469d-a4c3-14ee6ab32283 + 84ce8d06-633a-4b85-9d58-99f099ae4242 + 80d375d4-8b07-4dee-8779-6702412242e0 + 44d495d1-0282-469c-bae8-1b7b114e82aa + 141df525-4941-4245-9dbb-7aa96ad0ef17 + 82650166-1a70-400b-ba95-f48c82cf522a + a04706b6-5974-46f2-8142-af0e5eb2e404 + 13ca4a8a-17a9-474d-8d12-e869ded133d6 + d64cd4a9-d31e-4b3c-906c-9e3339a4665b + 8313ef34-90a3-4468-9c25-12254136998b + 172ff63d-e54e-444f-834d-cfeef2a85dc7 + 307c6d55-e3a7-42a1-b0db-9f791b11eff0 + 4935389c-f07e-4524-8242-4a47ef4fb7f9 + 4613d0c7-efad-43cd-941c-5cf519f01adc + 803d6eef-8fc3-4891-b72a-0d1509b172b5 + ace18051-a13a-43c1-b49d-1eb9257a0199 + 83bcd048-d0fa-430f-8b3b-500b492ac590 + d7b860ab-9124-433b-ae6c-b3d14e797346 + f8da6e13-27a9-441f-82bb-751c752b32bf + c118a0fa-1192-4a02-bd3c-43ff79e6d313 + 720b6578-cc9c-48d0-9307-02714aaef24b + 9180f22d-6524-4aae-91d0-10a92e93f8c1 + 3c01166c-f0a6-4a88-93ac-c5c19c376a87 + 213a0814-ab74-42a4-9fdb-216c876eec66 + b226b6d8-5cd2-4cef-86d7-b36c65b97de6 + f67d9f4c-56da-41d5-8c82-7441814e2c85 + c611f570-ad63-4756-a6fb-1677ee1128e3 + 0a8930ac-b09d-4f87-b49c-2f40967ade30 + caced6a5-77f5-4a1f-87e5-7a507a1ae158 + 50f612ca-6a0a-47b4-8fc9-bad763a08dc9 + f85f3458-b345-4cb9-b89c-3dfad93a636a + 6b93d7d0-45fb-45a0-bea0-8005836d7e60 + 1d906e19-2e90-4b08-a90d-ac1b5243f4af + 9f1bed51-60ef-42bf-8096-04570ace019e + b7772b7e-c7ba-400e-91c0-2338ccd91e6b + d1624b40-e462-4048-8f8d-3f14c45083a9 + 90499343-ea4d-48db-8ecd-c73332b983b6 + 73fd317c-8b54-429b-91b1-65298c28a8ba + b45428d6-2c80-4814-993d-02f4893b26a6 + b6b196ef-2842-4803-b7c1-49fe08c11203 + cd0aa9c7-f698-4083-8c48-93e774e27f13 + 5d39145e-2afd-40c3-9f19-3be03cd8e940 + d92ee07f-096c-44bd-9f99-31909c8fc35b + 1f9c820d-c6a5-4943-b20d-bc4eaa2943a8 + ffab67ab-18ec-45a4-aa0f-a657ab7a28ad + da61e8d2-e7e5-424f-aba4-e696dcf5d685 + 44b8b5fa-fa61-4ad1-9bee-b17fe91ef637 + 697fad89-ed0c-4b19-a017-0f7aa40a3970 + 2e222f5d-dddb-46ef-a284-074cfd8fbb0d + 50873f75-0d1e-4717-8482-3b5d9a8fd067 + 3677150c-4996-4121-8acc-6eff251fa7ab + 0c583e97-0764-47e8-a8bd-7880cc07c232 + 46c776c4-7ca3-4b86-b1e5-54d4aaaa19b3 + 1c12ee8d-94ec-462b-a5bc-882f08df648a + 9aff4bc8-d0ea-4611-905e-7d68dfdef9d9 + f83e7873-fd7d-4508-923c-0a1ccf1f5173 + 627b51c5-9ba6-4062-990b-d2644fab7d08 + 8f563cb8-9910-4e8f-8b51-d6a1eb025af6 + b3d7308b-bd5a-4724-b108-23089d3defeb + 79 + d1981487-8ad8-40de-95d2-2dfd11bb02ca + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 627b51c5-9ba6-4062-990b-d2644fab7d08 + 1 + 6ad47e04-c775-4a57-a73e-2ed7b095038c + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + b53d1f77-608a-4c61-9559-4eb316076796 + 1 + f954a659-5062-447e-9158-d5051bfbdea3 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ba14223b-9856-48cc-a64a-ea001a07bc7b + 1 + b53d1f77-608a-4c61-9559-4eb316076796 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 4c4f6f4e-770b-4771-818a-433699bdebfa + 1 + ba14223b-9856-48cc-a64a-ea001a07bc7b + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + a643dd61-7fdb-409d-903c-79805a46b9a4 + 1 + 4c4f6f4e-770b-4771-818a-433699bdebfa + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d37d7f72-8b27-495f-b2d9-2ad63b616116 + 1 + a643dd61-7fdb-409d-903c-79805a46b9a4 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + e050872a-8764-467a-a1e9-bb04d939de45 + 1 + d37d7f72-8b27-495f-b2d9-2ad63b616116 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e4dc0d57-9ce6-4836-938f-9116521f833c + true + Curve + Curve + false + 0 + + + + + + 9271 + 13146 + 50 + 24 + + + 9296.593 + 13158.82 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + e4dc0d57-9ce6-4836-938f-9116521f833c + 1 + e050872a-8764-467a-a1e9-bb04d939de45 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d64cd4a9-d31e-4b3c-906c-9e3339a4665b + 1 + 30b2c23f-8683-4fef-996c-03f6aa1e9afe + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e7b831aa-68e9-44d9-8efc-496946509db9 + 6927ab14-0ec8-425e-a84f-02340f79d740 + c224342c-801f-4459-9224-44879ddf539f + 24c12657-9231-42d5-962e-3459238abf6b + 3aeaa679-c8fa-47a2-b9c3-1868572b291c + c227a8ff-262c-4247-b446-6a6a409dbb5b + 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 2355ed38-5d29-469d-a4c3-14ee6ab32283 + 9dd91ab6-75a6-48ce-93cd-2b30e34153fb + 30b2c23f-8683-4fef-996c-03f6aa1e9afe + e050872a-8764-467a-a1e9-bb04d939de45 + da61e8d2-e7e5-424f-aba4-e696dcf5d685 + 44b8b5fa-fa61-4ad1-9bee-b17fe91ef637 + 697fad89-ed0c-4b19-a017-0f7aa40a3970 + 2e222f5d-dddb-46ef-a284-074cfd8fbb0d + 50873f75-0d1e-4717-8482-3b5d9a8fd067 + 3677150c-4996-4121-8acc-6eff251fa7ab + d92ee07f-096c-44bd-9f99-31909c8fc35b + 1f9c820d-c6a5-4943-b20d-bc4eaa2943a8 + 20 + 219c0fa8-912a-49ba-8b85-0f746c3c66f9 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + e7b831aa-68e9-44d9-8efc-496946509db9 + true + Duplicate Data + Duplicate Data + + + + + + 9247 + 14311 + 104 + 64 + + + 9306 + 14343 + + + + + + 1 + Data to duplicate + 08cff85b-5fec-4c8d-91e5-4e501afd9597 + true + Data + Data + false + 0dab6791-f1ad-4881-a86b-223e0ea6c394 + 1 + + + + + + 9249 + 14313 + 42 + 20 + + + 9271.5 + 14323 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 14e90ae5-bb82-4f62-b045-c378083493de + true + Number + Number + false + ffab67ab-18ec-45a4-aa0f-a657ab7a28ad + 1 + + + + + + 9249 + 14333 + 42 + 20 + + + 9271.5 + 14343 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 2d5721cc-8e70-48f7-b33b-b4afde2d293a + true + Order + Order + false + 0 + + + + + + 9249 + 14353 + 42 + 20 + + + 9271.5 + 14363 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 8bbc29ac-fcbc-4437-9601-bc9f55f32ca9 + true + Data + Data + false + 0 + + + + + + 9321 + 14313 + 28 + 60 + + + 9336.5 + 14343 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 6927ab14-0ec8-425e-a84f-02340f79d740 + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 9233 + 12383 + 116 + 44 + + + 9294 + 12405 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 9587f9b7-7dd9-4ecd-be26-d2a39b149705 + true + Forward + Forward + true + 1 + true + 8bbc29ac-fcbc-4437-9601-bc9f55f32ca9 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 9235 + 12385 + 44 + 20 + + + 9258.5 + 12395 + + + + + + + + 1 + false + Script Variable Left + 1a79516e-2dea-41d2-ace4-6fcbb289194d + true + Left + Left + true + 1 + true + ac57a99a-70b3-4c0f-a385-602f9f11134c + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 9235 + 12405 + 44 + 20 + + + 9258.5 + 12415 + + + + + + + + Print, Reflect and Error streams + 307e8f4c-863a-40b2-8a47-78f224ec8668 + true + Output + Output + false + 0 + + + + + + 9309 + 12385 + 38 + 20 + + + 9329.5 + 12395 + + + + + + + + Output parameter Points + 4ff605e6-a509-4af8-9890-63cf4e497a61 + true + Points + Points + false + 0 + + + + + + 9309 + 12405 + 38 + 20 + + + 9329.5 + 12415 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 24c12657-9231-42d5-962e-3459238abf6b + true + Series + Series + + + + + + 9244 + 13640 + 101 + 64 + + + 9294 + 13672 + + + + + + First number in the series + 0f237553-f061-4f77-b92e-17f1a1e75e85 + true + Start + Start + false + 0 + + + + + + 9246 + 13642 + 33 + 20 + + + 9264 + 13652 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 0dd83b16-14fe-451d-b087-c12c4b1989d5 + true + Step + Step + false + f83e7873-fd7d-4508-923c-0a1ccf1f5173 + 1 + + + + + + 9246 + 13662 + 33 + 20 + + + 9264 + 13672 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 23f160dc-5692-48fc-a5bf-c896c957f8f9 + true + Count + Count + false + ffab67ab-18ec-45a4-aa0f-a657ab7a28ad + 1 + + + + + + 9246 + 13682 + 33 + 20 + + + 9264 + 13692 + + + + + + + + 1 + Series of numbers + 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 + true + Series + Series + false + 0 + + + + + + 9309 + 13642 + 34 + 60 + + + 9327.5 + 13672 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 3aeaa679-c8fa-47a2-b9c3-1868572b291c + true + Number Slider + + false + 0 + + + + + + 9229 + 14490 + 150 + 20 + + + 9229.272 + 14490.67 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + c227a8ff-262c-4247-b446-6a6a409dbb5b + true + Radians + Radians + + + + + + 9233 + 13857 + 120 + 28 + + + 9294 + 13871 + + + + + + Angle in degrees + 695e0ed5-c343-4fa5-85c4-d24c3161d366 + true + Degrees + Degrees + false + 22d8d287-574a-486a-bb10-c3dd6f030770 + 1 + + + + + + 9235 + 13859 + 44 + 24 + + + 9258.5 + 13871 + + + + + + + + Angle in radians + 54f44873-8d34-4412-9dda-78426a1a8b25 + true + Radians + Radians + false + 0 + + + + + + 9309 + 13859 + 42 + 24 + + + 9331.5 + 13871 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 9169 + 14165 + 251 + 20 + + + 9169.984 + 14165.94 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 9dd91ab6-75a6-48ce-93cd-2b30e34153fb + true + Interpolate (t) + Interpolate (t) + + + + + + 9219 + 11618 + 144 + 84 + + + 9305 + 11660 + + + + + + 1 + Interpolation points + deb06cb6-2eec-4ec0-8320-05716a9ccf70 + true + Vertices + Vertices + false + e9fa65ea-db30-4e31-abf4-2dd776fcae3e + 1 + + + + + + 9221 + 11620 + 69 + 20 + + + 9257 + 11630 + + + + + + + + Tangent at start of curve + 920f550f-d7a1-4816-b13d-96e13367511a + true + Tangent Start + Tangent Start + false + 0 + + + + + + 9221 + 11640 + 69 + 20 + + + 9257 + 11650 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + e3e3a347-403b-441a-9fc3-765d2eba5ff9 + true + Tangent End + Tangent End + false + 0 + + + + + + 9221 + 11660 + 69 + 20 + + + 9257 + 11670 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 9ce86003-c292-40d4-97ed-e737c1291321 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 9221 + 11680 + 69 + 20 + + + 9257 + 11690 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 5995f820-88d6-4cba-b80c-7032b09c885b + true + Curve + Curve + false + 0 + + + + + + 9320 + 11620 + 41 + 26 + + + 9342 + 11633.33 + + + + + + + + Curve length + 7ae1e6b8-c28b-4554-a0b1-617baba0429b + true + Length + Length + false + 0 + + + + + + 9320 + 11646 + 41 + 27 + + + 9342 + 11660 + + + + + + + + Curve domain + db4d91a3-c62e-455e-8a3a-1de63b19e19f + true + Domain + Domain + false + 0 + + + + + + 9320 + 11673 + 41 + 27 + + + 9342 + 11686.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e7b831aa-68e9-44d9-8efc-496946509db9 + 6927ab14-0ec8-425e-a84f-02340f79d740 + c224342c-801f-4459-9224-44879ddf539f + 24c12657-9231-42d5-962e-3459238abf6b + 3aeaa679-c8fa-47a2-b9c3-1868572b291c + c227a8ff-262c-4247-b446-6a6a409dbb5b + 4230986a-8ed3-4a92-9e8a-4b00cb3dd536 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 46c776c4-7ca3-4b86-b1e5-54d4aaaa19b3 + 4935389c-f07e-4524-8242-4a47ef4fb7f9 + 5d39145e-2afd-40c3-9f19-3be03cd8e940 + 0c583e97-0764-47e8-a8bd-7880cc07c232 + 1c12ee8d-94ec-462b-a5bc-882f08df648a + 72d0b584-fd81-41fc-a990-23a44f9c78b4 + 14 + 2355ed38-5d29-469d-a4c3-14ee6ab32283 + Group + + + + + + + + + + + 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 + 84ce8d06-633a-4b85-9d58-99f099ae4242 + true + Evaluate Length + Evaluate Length + + + + + + 9219 + 11450 + 144 + 64 + + + 9293 + 11482 + + + + + + Curve to evaluate + 2b080345-87ac-4258-98d1-68c2c722a3e7 + true + Curve + Curve + false + 5995f820-88d6-4cba-b80c-7032b09c885b + 1 + + + + + + 9221 + 11452 + 57 + 20 + + + 9251 + 11462 + + + + + + + + Length factor for curve evaluation + b69dad12-f193-4f82-82ef-a1c6d9817151 + true + Length + Length + false + 0 + + + + + + 9221 + 11472 + 57 + 20 + + + 9251 + 11482 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 185fb470-ea10-4099-a0fe-cf906b73551f + true + Normalized + Normalized + false + 0 + + + + + + 9221 + 11492 + 57 + 20 + + + 9251 + 11502 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d8b4f148-6f8f-44ad-90f8-31160aef333d + true + Point + Point + false + 0 + + + + + + 9308 + 11452 + 53 + 20 + + + 9336 + 11462 + + + + + + + + Tangent vector at the specified length + 07963215-86f6-46e7-9525-20edcb638961 + true + Tangent + Tangent + false + 0 + + + + + + 9308 + 11472 + 53 + 20 + + + 9336 + 11482 + + + + + + + + Curve parameter at the specified length + c44627c1-2571-4098-b0bf-5ddbbe6ef12f + true + Parameter + Parameter + false + 0 + + + + + + 9308 + 11492 + 53 + 20 + + + 9336 + 11502 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 80d375d4-8b07-4dee-8779-6702412242e0 + true + Mirror + Mirror + + + + + + 9222 + 11388 + 138 + 44 + + + 9290 + 11410 + + + + + + Base geometry + 20db97e8-42c9-41b8-8e97-8e353a34e1da + true + Geometry + Geometry + true + 5995f820-88d6-4cba-b80c-7032b09c885b + 1 + + + + + + 9224 + 11390 + 51 + 20 + + + 9251 + 11400 + + + + + + + + Mirror plane + 6bd97404-9e59-4a2c-b843-e57c205c05c6 + true + Plane + Plane + false + d419dc03-8b47-43ec-b8a0-a1912ce27b2f + 1 + + + + + + 9224 + 11410 + 51 + 20 + + + 9251 + 11420 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 6bb971f2-985b-4626-b42d-f75c2de5d3b6 + true + Geometry + Geometry + false + 0 + + + + + + 9305 + 11390 + 53 + 20 + + + 9333 + 11400 + + + + + + + + Transformation data + f7d084d0-82bc-4c5a-ae2f-5aec5923b0ec + true + Transform + Transform + false + 0 + + + + + + 9305 + 11410 + 53 + 20 + + + 9333 + 11420 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 44d495d1-0282-469c-bae8-1b7b114e82aa + true + Line SDL + Line SDL + + + + + + 9238 + 11534 + 106 + 64 + + + 9302 + 11566 + + + + + + Line start point + b6df254a-1801-4774-8c18-f2bf68e75c7c + true + Start + Start + false + d8b4f148-6f8f-44ad-90f8-31160aef333d + 1 + + + + + + 9240 + 11536 + 47 + 20 + + + 9265 + 11546 + + + + + + + + Line tangent (direction) + 12d66a83-9833-4342-9a58-dc489fef3381 + true + Direction + Direction + false + 07963215-86f6-46e7-9525-20edcb638961 + 1 + + + + + + 9240 + 11556 + 47 + 20 + + + 9265 + 11566 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + fc369da7-1af3-4ff1-bd26-5fba1504a688 + true + Length + Length + false + 0 + + + + + + 9240 + 11576 + 47 + 20 + + + 9265 + 11586 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + d419dc03-8b47-43ec-b8a0-a1912ce27b2f + true + Line + Line + false + 0 + + + + + + 9317 + 11536 + 25 + 60 + + + 9331 + 11566 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 141df525-4941-4245-9dbb-7aa96ad0ef17 + true + Join Curves + Join Curves + + + + + + 9232 + 11326 + 118 + 44 + + + 9295 + 11348 + + + + + + 1 + Curves to join + 5adbecd7-2c15-423d-b710-5f3d506cdcdf + true + Curves + Curves + false + 5995f820-88d6-4cba-b80c-7032b09c885b + 6bb971f2-985b-4626-b42d-f75c2de5d3b6 + 2 + + + + + + 9234 + 11328 + 46 + 20 + + + 9258.5 + 11338 + + + + + + + + Preserve direction of input curves + 2a52dbf1-e00f-4e7a-8801-28fa7b489dca + true + Preserve + Preserve + false + 0 + + + + + + 9234 + 11348 + 46 + 20 + + + 9258.5 + 11358 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + f43c56d1-3f88-4554-ac88-2c9d52d60ce3 + true + Curves + Curves + false + 0 + + + + + + 9310 + 11328 + 38 + 40 + + + 9330.5 + 11348 + + + + + + + + + + + + 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 + 82650166-1a70-400b-ba95-f48c82cf522a + true + Evaluate Length + Evaluate Length + + + + + + 9219 + 11242 + 144 + 64 + + + 9293 + 11274 + + + + + + Curve to evaluate + 6dbf41b6-bc1d-4ded-b22a-6bbf69b92501 + true + Curve + Curve + false + f43c56d1-3f88-4554-ac88-2c9d52d60ce3 + 1 + + + + + + 9221 + 11244 + 57 + 20 + + + 9251 + 11254 + + + + + + + + Length factor for curve evaluation + db7e5307-e57e-4a9e-9882-0bba71bc010e + true + Length + Length + false + 0 + + + + + + 9221 + 11264 + 57 + 20 + + + 9251 + 11274 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + b502a490-fe40-4642-b9f4-3ea541f7d352 + true + Normalized + Normalized + false + 0 + + + + + + 9221 + 11284 + 57 + 20 + + + 9251 + 11294 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + af7fa660-384b-4638-94b8-7f96d03bbdfa + true + Point + Point + false + 0 + + + + + + 9308 + 11244 + 53 + 20 + + + 9336 + 11254 + + + + + + + + Tangent vector at the specified length + e00a0eb1-1934-4e05-a54f-71a6ad6deb6a + true + Tangent + Tangent + false + 0 + + + + + + 9308 + 11264 + 53 + 20 + + + 9336 + 11274 + + + + + + + + Curve parameter at the specified length + ecd463ee-9bdd-483a-b953-84ac6ae18ae3 + true + Parameter + Parameter + false + 0 + + + + + + 9308 + 11284 + 53 + 20 + + + 9336 + 11294 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + a04706b6-5974-46f2-8142-af0e5eb2e404 + true + Rotate + Rotate + + + + + + 9222 + 11159 + 138 + 64 + + + 9290 + 11191 + + + + + + Base geometry + f2e4711c-35ff-476a-8f95-68f9490f3f8b + true + Geometry + Geometry + true + f43c56d1-3f88-4554-ac88-2c9d52d60ce3 + 1 + + + + + + 9224 + 11161 + 51 + 20 + + + 9251 + 11171 + + + + + + + + Rotation angle in radians + b058f46c-fc27-4024-9778-97edb3ee873e + true + Angle + Angle + false + 0 + false + + + + + + 9224 + 11181 + 51 + 20 + + + 9251 + 11191 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 84a97add-29ad-4eaf-a223-307a04b535ec + true + Plane + Plane + false + af7fa660-384b-4638-94b8-7f96d03bbdfa + 1 + + + + + + 9224 + 11201 + 51 + 20 + + + 9251 + 11211 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + ea798e10-519f-4e29-b14b-b017599dacda + true + Geometry + Geometry + false + 0 + + + + + + 9305 + 11161 + 53 + 30 + + + 9333 + 11176 + + + + + + + + Transformation data + 6243ee3b-645d-493b-aad6-54cccde3003e + true + Transform + Transform + false + 0 + + + + + + 9305 + 11191 + 53 + 30 + + + 9333 + 11206 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 13ca4a8a-17a9-474d-8d12-e869ded133d6 + true + Join Curves + Join Curves + + + + + + 9232 + 11096 + 118 + 44 + + + 9295 + 11118 + + + + + + 1 + Curves to join + 379e054e-327a-408a-b768-11aeb7c8d88b + true + Curves + Curves + false + f43c56d1-3f88-4554-ac88-2c9d52d60ce3 + ea798e10-519f-4e29-b14b-b017599dacda + 2 + + + + + + 9234 + 11098 + 46 + 20 + + + 9258.5 + 11108 + + + + + + + + Preserve direction of input curves + 379fa5f7-0f0f-4702-97f5-1951f0d39c24 + true + Preserve + Preserve + false + 0 + + + + + + 9234 + 11118 + 46 + 20 + + + 9258.5 + 11128 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + cbdd2b86-77b6-4da7-ac7d-29a5d26dfeaa + true + Curves + Curves + false + 0 + + + + + + 9310 + 11098 + 38 + 40 + + + 9330.5 + 11118 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9dd91ab6-75a6-48ce-93cd-2b30e34153fb + 84ce8d06-633a-4b85-9d58-99f099ae4242 + 80d375d4-8b07-4dee-8779-6702412242e0 + 44d495d1-0282-469c-bae8-1b7b114e82aa + 141df525-4941-4245-9dbb-7aa96ad0ef17 + 82650166-1a70-400b-ba95-f48c82cf522a + a04706b6-5974-46f2-8142-af0e5eb2e404 + 13ca4a8a-17a9-474d-8d12-e869ded133d6 + 172ff63d-e54e-444f-834d-cfeef2a85dc7 + c8993beb-b45b-4c31-9990-7eb86ffdc60d + 1208fa26-35cd-449c-8bab-d5024ce56926 + e9fa65ea-db30-4e31-abf4-2dd776fcae3e + 9acdadaa-96e4-4e3f-b354-95632380b4b1 + 30884d74-7a79-4131-9e30-3d6188286538 + 993a4bbf-a82f-4209-b544-cec1a75b5c95 + 15 + d64cd4a9-d31e-4b3c-906c-9e3339a4665b + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8313ef34-90a3-4468-9c25-12254136998b + true + Panel + + false + 0 + 3c01166c-f0a6-4a88-93ac-c5c19c376a87 + 1 + Double click to edit panel content… + + + + + + 9223 + 13732 + 145 + 20 + + 0 + 0 + 0 + + 9223.014 + 13732.16 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 172ff63d-e54e-444f-834d-cfeef2a85dc7 + true + Curve + Curve + false + cbdd2b86-77b6-4da7-ac7d-29a5d26dfeaa + 1 + + + + + + 9271 + 11059 + 50 + 24 + + + 9296.593 + 11071.74 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 172ff63d-e54e-444f-834d-cfeef2a85dc7 + 1 + 307c6d55-e3a7-42a1-b0db-9f791b11eff0 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4935389c-f07e-4524-8242-4a47ef4fb7f9 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 9076 + 13940 + 439 + 20 + + 0 + 0 + 0 + + 9076.574 + 13940.25 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 4613d0c7-efad-43cd-941c-5cf519f01adc + true + Evaluate Length + Evaluate Length + + + + + + 9219 + 10970 + 144 + 64 + + + 9293 + 11002 + + + + + + Curve to evaluate + 1ac88282-f977-4d25-8900-d1d6ef298912 + true + Curve + Curve + false + cbdd2b86-77b6-4da7-ac7d-29a5d26dfeaa + 1 + + + + + + 9221 + 10972 + 57 + 20 + + + 9251 + 10982 + + + + + + + + Length factor for curve evaluation + eb6ed6e2-fa2d-4e88-829d-3c29000835f3 + true + Length + Length + false + 0 + + + + + + 9221 + 10992 + 57 + 20 + + + 9251 + 11002 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 1df8c5a7-83db-4347-ac42-38af50920b4a + true + Normalized + Normalized + false + 0 + + + + + + 9221 + 11012 + 57 + 20 + + + 9251 + 11022 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + ed65d188-a3f6-4c2f-8cc3-5d57e4df4a3c + true + Point + Point + false + 0 + + + + + + 9308 + 10972 + 53 + 20 + + + 9336 + 10982 + + + + + + + + Tangent vector at the specified length + 41a04ed1-42e0-4179-9cbc-186ba6a6d75c + true + Tangent + Tangent + false + 0 + + + + + + 9308 + 10992 + 53 + 20 + + + 9336 + 11002 + + + + + + + + Curve parameter at the specified length + 1e710b0c-83cc-4f68-b24d-eb671c22dd9a + true + Parameter + Parameter + false + 0 + + + + + + 9308 + 11012 + 53 + 20 + + + 9336 + 11022 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 803d6eef-8fc3-4891-b72a-0d1509b172b5 + true + Expression + Expression + + + + + + 9194 + 10748 + 194 + 28 + + + 9294 + 10762 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e484ee6e-5009-4533-a443-e56c691fe550 + true + Variable O + O + true + dcea8318-4462-4721-818c-6661172d9f46 + 1 + + + + + + 9196 + 10750 + 14 + 24 + + + 9204.5 + 10762 + + + + + + + + Result of expression + cf654097-b4ec-4b47-a624-e30607dcdd52 + true + Result + + false + 0 + + + + + + 9377 + 10750 + 9 + 24 + + + 9383 + 10762 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + ace18051-a13a-43c1-b49d-1eb9257a0199 + true + Deconstruct + Deconstruct + + + + + + 9225 + 10882 + 132 + 64 + + + 9272 + 10914 + + + + + + Input point + b8ff2131-7592-4744-b7e1-d57cc4ff9f66 + true + Point + Point + false + ed65d188-a3f6-4c2f-8cc3-5d57e4df4a3c + 1 + + + + + + 9227 + 10884 + 30 + 60 + + + 9243.5 + 10914 + + + + + + + + Point {x} component + dcea8318-4462-4721-818c-6661172d9f46 + true + X component + X component + false + 0 + + + + + + 9287 + 10884 + 68 + 20 + + + 9322.5 + 10894 + + + + + + + + Point {y} component + ecdf5289-9397-4cbd-9569-1f270b0025d4 + true + Y component + Y component + false + 0 + + + + + + 9287 + 10904 + 68 + 20 + + + 9322.5 + 10914 + + + + + + + + Point {z} component + 85a5b295-95b1-4c4c-8a9b-ee1d2f11543a + true + Z component + Z component + false + 0 + + + + + + 9287 + 10924 + 68 + 20 + + + 9322.5 + 10934 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 83bcd048-d0fa-430f-8b3b-500b492ac590 + true + Panel + + false + 0 + cf654097-b4ec-4b47-a624-e30607dcdd52 + 1 + Double click to edit panel content… + + + + + + 9215 + 10725 + 160 + 20 + + 0 + 0 + 0 + + 9215.362 + 10725.32 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d7b860ab-9124-433b-ae6c-b3d14e797346 + true + Expression + Expression + + + + + + 9194 + 10662 + 194 + 28 + + + 9294 + 10676 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f535c1ca-18d7-4c5b-9820-1a2c3a925fde + true + Variable O + O + true + ecdf5289-9397-4cbd-9569-1f270b0025d4 + 1 + + + + + + 9196 + 10664 + 14 + 24 + + + 9204.5 + 10676 + + + + + + + + Result of expression + bf298f6b-c168-4187-99d3-52b41d3381af + true + Result + + false + 0 + + + + + + 9377 + 10664 + 9 + 24 + + + 9383 + 10676 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f8da6e13-27a9-441f-82bb-751c752b32bf + true + Panel + + false + 0 + bf298f6b-c168-4187-99d3-52b41d3381af + 1 + Double click to edit panel content… + + + + + + 9215 + 10636 + 160 + 20 + + 0 + 0 + 0 + + 9215.362 + 10636.89 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + c118a0fa-1192-4a02-bd3c-43ff79e6d313 + true + Division + Division + + + + + + 9250 + 10560 + 82 + 44 + + + 9281 + 10582 + + + + + + Item to divide (dividend) + c9b48328-a28e-4154-99f2-bb9ae2bafa90 + true + A + A + false + 83bcd048-d0fa-430f-8b3b-500b492ac590 + 1 + + + + + + 9252 + 10562 + 14 + 20 + + + 9260.5 + 10572 + + + + + + + + Item to divide with (divisor) + e2078d84-29cd-49d0-9fbc-81a12cd552b1 + true + B + B + false + f8da6e13-27a9-441f-82bb-751c752b32bf + 1 + + + + + + 9252 + 10582 + 14 + 20 + + + 9260.5 + 10592 + + + + + + + + The result of the Division + 4707558e-4f6c-4d08-a9ce-774549099616 + true + Result + Result + false + 0 + + + + + + 9296 + 10562 + 34 + 40 + + + 9314.5 + 10582 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 720b6578-cc9c-48d0-9307-02714aaef24b + true + Panel + + false + 0 + 3c01166c-f0a6-4a88-93ac-c5c19c376a87 + 1 + Double click to edit panel content… + + + + + + 9215 + 10489 + 160 + 20 + + 0 + 0 + 0 + + 9215.603 + 10489.38 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9180f22d-6524-4aae-91d0-10a92e93f8c1 + true + Expression + Expression + + + + + + 9194 + 10513 + 194 + 28 + + + 9294 + 10527 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0a020148-b993-48dc-a739-ee780f114b00 + true + Variable O + O + true + 4707558e-4f6c-4d08-a9ce-774549099616 + 1 + + + + + + 9196 + 10515 + 14 + 24 + + + 9204.5 + 10527 + + + + + + + + Result of expression + e0df863f-0609-4335-b87e-3d667f2818ec + true + Result + + false + 0 + + + + + + 9377 + 10515 + 9 + 24 + + + 9383 + 10527 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3c01166c-f0a6-4a88-93ac-c5c19c376a87 + true + Relay + + false + e0df863f-0609-4335-b87e-3d667f2818ec + 1 + + + + + + 9271 + 10438 + 40 + 16 + + + 9291 + 10446 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 213a0814-ab74-42a4-9fdb-216c876eec66 + true + Addition + Addition + + + + + + 9250 + 10375 + 82 + 44 + + + 9281 + 10397 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 470c78c0-e34b-4999-8562-50933ca277ba + true + A + A + true + f8da6e13-27a9-441f-82bb-751c752b32bf + 1 + + + + + + 9252 + 10377 + 14 + 20 + + + 9260.5 + 10387 + + + + + + + + Second item for addition + be18d145-1140-4dd5-8eaf-2104492a0de0 + true + B + B + true + 83bcd048-d0fa-430f-8b3b-500b492ac590 + 1 + + + + + + 9252 + 10397 + 14 + 20 + + + 9260.5 + 10407 + + + + + + + + Result of addition + ef000462-7d92-4f67-ace9-64ae6584d4b8 + true + Result + Result + false + 0 + + + + + + 9296 + 10377 + 34 + 40 + + + 9314.5 + 10397 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + b226b6d8-5cd2-4cef-86d7-b36c65b97de6 + true + Division + Division + + + + + + 9250 + 10225 + 82 + 44 + + + 9281 + 10247 + + + + + + Item to divide (dividend) + f87413b3-9faf-46a5-a180-b288078b4b0c + true + A + A + false + 0a8930ac-b09d-4f87-b49c-2f40967ade30 + 1 + + + + + + 9252 + 10227 + 14 + 20 + + + 9260.5 + 10237 + + + + + + + + Item to divide with (divisor) + 3a96c9bf-8e51-4546-a673-2dc37842d689 + true + B + B + false + 0 + + + + + + 9252 + 10247 + 14 + 20 + + + 9260.5 + 10257 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 98d5a869-fbb0-44c3-8045-e5adad20d28f + true + Result + Result + false + 0 + + + + + + 9296 + 10227 + 34 + 40 + + + 9314.5 + 10247 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + f67d9f4c-56da-41d5-8c82-7441814e2c85 + true + Expression + Expression + + + + + + 9194 + 10177 + 194 + 28 + + + 9294 + 10191 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0efb9ff9-55fb-49cc-88ef-726a46de14c8 + true + Variable O + O + true + 98d5a869-fbb0-44c3-8045-e5adad20d28f + 1 + + + + + + 9196 + 10179 + 14 + 24 + + + 9204.5 + 10191 + + + + + + + + Result of expression + f9fc978a-007a-407e-90eb-b1a3f716c5d0 + true + Result + + false + 0 + + + + + + 9377 + 10179 + 9 + 24 + + + 9383 + 10191 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c611f570-ad63-4756-a6fb-1677ee1128e3 + true + Panel + + false + 0 + f9fc978a-007a-407e-90eb-b1a3f716c5d0 + 1 + Double click to edit panel content… + + + + + + 9215 + 10153 + 160 + 20 + + 0 + 0 + 0 + + 9215.362 + 10153.24 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0a8930ac-b09d-4f87-b49c-2f40967ade30 + true + Panel + + false + 0 + eb3b65ef-5abc-47ce-9d0e-2bc308f3f05c + 1 + Double click to edit panel content… + + + + + + 9215 + 10305 + 160 + 20 + + 0 + 0 + 0 + + 9215.362 + 10305.15 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + caced6a5-77f5-4a1f-87e5-7a507a1ae158 + true + Expression + Expression + + + + + + 9194 + 10328 + 194 + 28 + + + 9294 + 10342 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 5b018c75-fd8b-475b-a822-bdfbcb28840f + true + Variable O + O + true + ef000462-7d92-4f67-ace9-64ae6584d4b8 + 1 + + + + + + 9196 + 10330 + 14 + 24 + + + 9204.5 + 10342 + + + + + + + + Result of expression + eb3b65ef-5abc-47ce-9d0e-2bc308f3f05c + true + Result + + false + 0 + + + + + + 9377 + 10330 + 9 + 24 + + + 9383 + 10342 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 50f612ca-6a0a-47b4-8fc9-bad763a08dc9 + true + Scale + Scale + + + + + + 9214 + 10054 + 154 + 64 + + + 9298 + 10086 + + + + + + Base geometry + b351ce39-a5be-419b-bc41-725227d0ede9 + true + Geometry + Geometry + true + 172ff63d-e54e-444f-834d-cfeef2a85dc7 + 1 + + + + + + 9216 + 10056 + 67 + 20 + + + 9259 + 10066 + + + + + + + + Center of scaling + 4909aa96-7b9d-42d3-89ad-293af250bf2b + true + Center + Center + false + 0 + + + + + + 9216 + 10076 + 67 + 20 + + + 9259 + 10086 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + d7041b9b-f893-45bb-b4cd-390c4a3b2394 + 1/X + true + Factor + Factor + false + c611f570-ad63-4756-a6fb-1677ee1128e3 + 1 + + + + + + 9216 + 10096 + 67 + 20 + + + 9259 + 10106 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 41c38292-40ac-4837-a7e7-51adbae97a31 + true + Geometry + Geometry + false + 0 + + + + + + 9313 + 10056 + 53 + 30 + + + 9341 + 10071 + + + + + + + + Transformation data + b39227d0-da81-4913-bb64-c10b36e8ac12 + true + Transform + Transform + false + 0 + + + + + + 9313 + 10086 + 53 + 30 + + + 9341 + 10101 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + f85f3458-b345-4cb9-b89c-3dfad93a636a + true + Curve + Curve + false + 41c38292-40ac-4837-a7e7-51adbae97a31 + 1 + + + + + + 9269 + 9458 + 50 + 24 + + + 9294.343 + 9470.74 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 6b93d7d0-45fb-45a0-bea0-8005836d7e60 + true + Expression + Expression + + + + + + 9194 + 10835 + 194 + 28 + + + 9294 + 10849 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2b031595-0114-4b20-91c1-3ec9a6f640fb + true + Variable O + O + true + 85a5b295-95b1-4c4c-8a9b-ee1d2f11543a + 1 + + + + + + 9196 + 10837 + 14 + 24 + + + 9204.5 + 10849 + + + + + + + + Result of expression + e10d9ce4-f261-4302-84e8-f9f927880f20 + true + Result + + false + 0 + + + + + + 9377 + 10837 + 9 + 24 + + + 9383 + 10849 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1d906e19-2e90-4b08-a90d-ac1b5243f4af + true + Panel + + false + 0 + e10d9ce4-f261-4302-84e8-f9f927880f20 + 1 + Double click to edit panel content… + + + + + + 9216 + 10811 + 160 + 20 + + 0 + 0 + 0 + + 9216.232 + 10811.09 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 9f1bed51-60ef-42bf-8096-04570ace019e + true + Evaluate Length + Evaluate Length + + + + + + 9219 + 9844 + 144 + 64 + + + 9293 + 9876 + + + + + + Curve to evaluate + d680a6ea-4645-4671-b4f8-b93da93835cd + true + Curve + Curve + false + 41c38292-40ac-4837-a7e7-51adbae97a31 + 1 + + + + + + 9221 + 9846 + 57 + 20 + + + 9251 + 9856 + + + + + + + + Length factor for curve evaluation + 302ad02d-818c-458d-8b67-418dd83c5d66 + true + Length + Length + false + 0 + + + + + + 9221 + 9866 + 57 + 20 + + + 9251 + 9876 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 86cde452-4286-49b9-ae1d-dab4289d5298 + true + Normalized + Normalized + false + 0 + + + + + + 9221 + 9886 + 57 + 20 + + + 9251 + 9896 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d921b6dc-e6ef-4578-99ba-1ca29f3e0dcd + true + Point + Point + false + 0 + + + + + + 9308 + 9846 + 53 + 20 + + + 9336 + 9856 + + + + + + + + Tangent vector at the specified length + 3a3f618c-4c35-418f-860f-9749a6b87b59 + true + Tangent + Tangent + false + 0 + + + + + + 9308 + 9866 + 53 + 20 + + + 9336 + 9876 + + + + + + + + Curve parameter at the specified length + 311397ff-2d1b-45e5-a6ef-8fe2723ef4f4 + true + Parameter + Parameter + false + 0 + + + + + + 9308 + 9886 + 53 + 20 + + + 9336 + 9896 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b7772b7e-c7ba-400e-91c0-2338ccd91e6b + true + Expression + Expression + + + + + + 9194 + 9627 + 194 + 28 + + + 9294 + 9641 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c30eabfa-9866-4ee8-9efd-63f6e2783fd4 + true + Variable O + O + true + 393d33c6-b5e2-46bf-a025-6ffdd399b22f + 1 + + + + + + 9196 + 9629 + 14 + 24 + + + 9204.5 + 9641 + + + + + + + + Result of expression + 3646ed69-ade4-4608-bfc7-ad7554937824 + true + Result + + false + 0 + + + + + + 9377 + 9629 + 9 + 24 + + + 9383 + 9641 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + d1624b40-e462-4048-8f8d-3f14c45083a9 + true + Deconstruct + Deconstruct + + + + + + 9225 + 9761 + 132 + 64 + + + 9272 + 9793 + + + + + + Input point + 05935f3a-1dca-43b1-9f36-9153b01c5c7c + true + Point + Point + false + d921b6dc-e6ef-4578-99ba-1ca29f3e0dcd + 1 + + + + + + 9227 + 9763 + 30 + 60 + + + 9243.5 + 9793 + + + + + + + + Point {x} component + 393d33c6-b5e2-46bf-a025-6ffdd399b22f + true + X component + X component + false + 0 + + + + + + 9287 + 9763 + 68 + 20 + + + 9322.5 + 9773 + + + + + + + + Point {y} component + a5ab5605-3cf3-407d-89e8-886683c380ae + true + Y component + Y component + false + 0 + + + + + + 9287 + 9783 + 68 + 20 + + + 9322.5 + 9793 + + + + + + + + Point {z} component + 0a45fb63-5d3b-4bcd-8a4d-88c384ce2920 + true + Z component + Z component + false + 0 + + + + + + 9287 + 9803 + 68 + 20 + + + 9322.5 + 9813 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 90499343-ea4d-48db-8ecd-c73332b983b6 + true + Panel + + false + 0 + 3646ed69-ade4-4608-bfc7-ad7554937824 + 1 + Double click to edit panel content… + + + + + + 9215 + 9598 + 160 + 20 + + 0 + 0 + 0 + + 9215.612 + 9598.66 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 73fd317c-8b54-429b-91b1-65298c28a8ba + true + Expression + Expression + + + + + + 9194 + 9541 + 194 + 28 + + + 9294 + 9555 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3f8a4cad-6c7c-4149-a15b-67977b46355b + true + Variable O + O + true + a5ab5605-3cf3-407d-89e8-886683c380ae + 1 + + + + + + 9196 + 9543 + 14 + 24 + + + 9204.5 + 9555 + + + + + + + + Result of expression + ed594e86-224d-461d-ab93-50b60377f0d6 + true + Result + + false + 0 + + + + + + 9377 + 9543 + 9 + 24 + + + 9383 + 9555 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b45428d6-2c80-4814-993d-02f4893b26a6 + true + Panel + + false + 0 + ed594e86-224d-461d-ab93-50b60377f0d6 + 1 + Double click to edit panel content… + + + + + + 9215 + 9513 + 160 + 20 + + 0 + 0 + 0 + + 9215.624 + 9513.031 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b6b196ef-2842-4803-b7c1-49fe08c11203 + true + Expression + Expression + + + + + + 9194 + 9713 + 194 + 28 + + + 9294 + 9727 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3ad379ea-eb49-4406-98d0-14fbbfb9280f + true + Variable O + O + true + 0a45fb63-5d3b-4bcd-8a4d-88c384ce2920 + 1 + + + + + + 9196 + 9715 + 14 + 24 + + + 9204.5 + 9727 + + + + + + + + Result of expression + 61a94372-a0d6-4cc9-bcc5-027067de7991 + true + Result + + false + 0 + + + + + + 9377 + 9715 + 9 + 24 + + + 9383 + 9727 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cd0aa9c7-f698-4083-8c48-93e774e27f13 + true + Panel + + false + 0 + 61a94372-a0d6-4cc9-bcc5-027067de7991 + 1 + Double click to edit panel content… + + + + + + 9215 + 9684 + 160 + 20 + + 0 + 0 + 0 + + 9215.362 + 9684.871 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5d39145e-2afd-40c3-9f19-3be03cd8e940 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 9114 + 14019 + 379 + 104 + + 0 + 0 + 0 + + 9114.019 + 14019.32 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d92ee07f-096c-44bd-9f99-31909c8fc35b + true + Panel + + false + 0 + 9a33b66c-90bf-4d36-a63b-cc8307500888 + 1 + Double click to edit panel content… + + + + + + 9127 + 12048 + 337 + 276 + + 0 + 0 + 0 + + 9127.554 + 12048.66 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1f9c820d-c6a5-4943-b20d-bc4eaa2943a8 + true + Expression + Expression + + + + + + 9194 + 12335 + 194 + 28 + + + 9294 + 12349 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f8fe4245-b6ab-46b1-b821-a57301a4a126 + true + Variable O + O + true + 4ff605e6-a509-4af8-9890-63cf4e497a61 + 1 + + + + + + 9196 + 12337 + 14 + 24 + + + 9204.5 + 12349 + + + + + + + + Result of expression + 9a33b66c-90bf-4d36-a63b-cc8307500888 + true + Result + + false + 0 + + + + + + 9377 + 12337 + 9 + 24 + + + 9383 + 12349 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + ffab67ab-18ec-45a4-aa0f-a657ab7a28ad + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 9279 + 14448 + 50 + 24 + + + 9304.325 + 14460.96 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + da61e8d2-e7e5-424f-aba4-e696dcf5d685 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 9122 + 12617 + 160 + 224 + + + 9190 + 12729 + + + + + + 1 + One or multiple graph curves to graph map values with + e500bf0b-4708-4831-b576-9ec4fcdf09a4 + true + Curves + Curves + false + ee07fea5-e231-490f-8b21-7edc29afcd22 + 1 + + + + + + 9124 + 12619 + 51 + 27 + + + 9151 + 12632.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 55a5935f-b713-43c6-91df-16f2083e2821 + true + Rectangle + Rectangle + false + cc13e18e-fa92-4e6b-9ec0-8a53b47c25a9 + 1 + + + + + + 9124 + 12646 + 51 + 28 + + + 9151 + 12660.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 1b4f836c-242d-44ce-ad86-a170412ab8e5 + true + Values + Values + false + 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 + 1 + + + + + + 9124 + 12674 + 51 + 27 + + + 9151 + 12687.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 74369cc4-1797-4d03-94d9-95d8480376d4 + true + X Axis + X Axis + true + 0 + + + + + + 9124 + 12701 + 51 + 28 + + + 9151 + 12715.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 72475106-68d5-49e6-bb1e-db1dfeea3cc3 + true + Y Axis + Y Axis + true + 0 + + + + + + 9124 + 12729 + 51 + 27 + + + 9151 + 12742.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 59de63e5-079b-47b0-b047-c69e4a1d0848 + true + Flip + Flip + false + 0 + + + + + + 9124 + 12756 + 51 + 28 + + + 9151 + 12770.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 6d6c9fec-83ce-4043-a747-4e5f87f113a0 + true + Snap + Snap + false + 0 + + + + + + 9124 + 12784 + 51 + 27 + + + 9151 + 12797.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + e13af5cb-9565-4d31-81f5-821ca1729c78 + true + Text Size + Text Size + false + 0 + + + + + + 9124 + 12811 + 51 + 28 + + + 9151 + 12825.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 11ba84f1-b66b-4b32-b0b0-311544d960f6 + true + Mapped + Mapped + false + 0 + + + + + + 9205 + 12619 + 75 + 20 + + + 9244 + 12629 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 5b0ec43e-1db7-4e33-aaea-6133bac9ed2b + true + Graph Curves + Graph Curves + false + 0 + + + + + + 9205 + 12639 + 75 + 20 + + + 9244 + 12649 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + bace6a17-5de3-494a-af7a-9b0462e4511d + true + Graph Points + Graph Points + false + 0 + + + + + + 9205 + 12659 + 75 + 20 + + + 9244 + 12669 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 14eef7f8-6d08-41ab-b409-7b1150face2b + true + Value Lines + Value Lines + false + 0 + + + + + + 9205 + 12679 + 75 + 20 + + + 9244 + 12689 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + f6cd9617-d61b-4e3f-be7a-939ce1cc8723 + true + Value Points + Value Points + false + 0 + + + + + + 9205 + 12699 + 75 + 20 + + + 9244 + 12709 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 9d331249-3761-431e-84af-4cdfd4ebc593 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 9205 + 12719 + 75 + 20 + + + 9244 + 12729 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 0facdca8-f514-41af-adc2-de99863bde9f + true + Mapped Points + Mapped Points + false + 0 + + + + + + 9205 + 12739 + 75 + 20 + + + 9244 + 12749 + + + + + + + + The graph boundary background as a surface + 418c8682-e61a-4b7c-856b-d72426c55c16 + true + Boundary + Boundary + false + 0 + + + + + + 9205 + 12759 + 75 + 20 + + + 9244 + 12769 + + + + + + + + 1 + The graph labels as curve outlines + c6fc3a10-3122-4fa6-9c7d-193ff6e2bbd1 + true + Labels + Labels + false + 0 + + + + + + 9205 + 12779 + 75 + 20 + + + 9244 + 12789 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 6f1f68c4-6623-41e1-931d-82065930c133 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 9205 + 12799 + 75 + 20 + + + 9244 + 12809 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 788acccd-f8a5-4bf3-863c-63ea8171e9fb + true + Intersected + Intersected + false + 0 + + + + + + 9205 + 12819 + 75 + 20 + + + 9244 + 12829 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 44b8b5fa-fa61-4ad1-9bee-b17fe91ef637 + true + End Points + End Points + + + + + + 9243 + 13042 + 96 + 44 + + + 9293 + 13064 + + + + + + Curve to evaluate + b3c86617-3d11-4c04-b39c-c9bcb9fb3bc1 + true + Curve + Curve + false + ee07fea5-e231-490f-8b21-7edc29afcd22 + 1 + + + + + + 9245 + 13044 + 33 + 40 + + + 9263 + 13064 + + + + + + + + Curve start point + 9c543a18-b693-40dc-af5a-2ac6f01a78b3 + true + Start + Start + false + 0 + + + + + + 9308 + 13044 + 29 + 20 + + + 9324 + 13054 + + + + + + + + Curve end point + 5dc904f7-c89d-4e04-921c-61b75435e58f + true + End + End + false + 0 + + + + + + 9308 + 13064 + 29 + 20 + + + 9324 + 13074 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 697fad89-ed0c-4b19-a017-0f7aa40a3970 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 9228 + 12940 + 126 + 84 + + + 9286 + 12982 + + + + + + Rectangle base plane + 9a53928f-96e5-467a-b224-5211cd437a17 + true + Plane + Plane + false + 0 + + + + + + 9230 + 12942 + 41 + 20 + + + 9252 + 12952 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + ef4f375a-26f7-4756-8f39-b94aeb7f2184 + true + Point A + Point A + false + 9c543a18-b693-40dc-af5a-2ac6f01a78b3 + 1 + + + + + + 9230 + 12962 + 41 + 20 + + + 9252 + 12972 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 8949fbf1-f53c-4e96-8f8a-6102f1d71e50 + true + Point B + Point B + false + 5dc904f7-c89d-4e04-921c-61b75435e58f + 1 + + + + + + 9230 + 12982 + 41 + 20 + + + 9252 + 12992 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + bbddf918-e457-4b94-8147-80acddcbe50a + true + Radius + Radius + false + 0 + + + + + + 9230 + 13002 + 41 + 20 + + + 9252 + 13012 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + cc13e18e-fa92-4e6b-9ec0-8a53b47c25a9 + true + Rectangle + Rectangle + false + 0 + + + + + + 9301 + 12942 + 51 + 40 + + + 9328 + 12962 + + + + + + + + Length of rectangle curve + 718c1de5-0921-4086-b353-a7041f0f57bd + true + Length + Length + false + 0 + + + + + + 9301 + 12982 + 51 + 40 + + + 9328 + 13002 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + 2e222f5d-dddb-46ef-a284-074cfd8fbb0d + true + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 9282 + 12737 + 126 + 104 + + + 9349 + 12789 + + + + + + External curve as a graph + 881d7006-f6cb-4f3a-a677-c3e4bc0319b2 + true + Curve + Curve + false + ee07fea5-e231-490f-8b21-7edc29afcd22 + 1 + + + + + + 9284 + 12739 + 50 + 20 + + + 9310.5 + 12749 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + a9e28367-1877-4d4d-b87f-06c9352bada3 + true + Boundary + Boundary + true + cc13e18e-fa92-4e6b-9ec0-8a53b47c25a9 + 1 + + + + + + 9284 + 12759 + 50 + 20 + + + 9310.5 + 12769 + + + + + + + + 1 + List of input numbers + 850f6c27-937c-4926-955a-d00baa2fee1c + true + Numbers + Numbers + false + 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 + 1 + + + + + + 9284 + 12779 + 50 + 20 + + + 9310.5 + 12789 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 80a9b4df-e97f-4beb-a513-2da538f7eca4 + true + Input + Input + true + fc0c07eb-e460-44e9-b49f-010dd7ee264b + 1 + + + + + + 9284 + 12799 + 50 + 20 + + + 9310.5 + 12809 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 9c5b55fa-986e-4b13-bcc4-260aae6360cb + true + Output + Output + true + fc0c07eb-e460-44e9-b49f-010dd7ee264b + 1 + + + + + + 9284 + 12819 + 50 + 20 + + + 9310.5 + 12829 + + + + + + + + 1 + Output Numbers + 42eb47e6-9c62-4d8d-994a-74cec8b44aff + true + Number + Number + false + 0 + + + + + + 9364 + 12739 + 42 + 100 + + + 9386.5 + 12789 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 50873f75-0d1e-4717-8482-3b5d9a8fd067 + true + Stream Filter + Stream Filter + + + + + + 9257 + 12534 + 89 + 64 + + + 9302 + 12566 + + + + + + 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 + 4826c6c3-aa93-440e-ba73-13f384dfd020 + true + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 9259 + 12536 + 28 + 20 + + + 9274.5 + 12546 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + a2411043-42f0-4534-ab40-3e6b341c4f0b + true + false + Stream 0 + 0 + true + 11ba84f1-b66b-4b32-b0b0-311544d960f6 + 1 + + + + + + 9259 + 12556 + 28 + 20 + + + 9274.5 + 12566 + + + + + + + + 2 + Input stream at index 1 + 9424b08d-dc64-482f-a05a-3054f070bc2d + true + false + Stream 1 + 1 + true + 42eb47e6-9c62-4d8d-994a-74cec8b44aff + 1 + + + + + + 9259 + 12576 + 28 + 20 + + + 9274.5 + 12586 + + + + + + + + 2 + Filtered stream + ac57a99a-70b3-4c0f-a385-602f9f11134c + true + false + Stream + S(1) + false + 0 + + + + + + 9317 + 12536 + 27 + 60 + + + 9332 + 12566 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 3677150c-4996-4121-8acc-6eff251fa7ab + true + Number Slider + + false + 0 + + + + + + 9225 + 12460 + 150 + 20 + + + 9225.982 + 12460.26 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0c583e97-0764-47e8-a8bd-7880cc07c232 + true + Panel + + false + 1 + b2bf7e4a-b211-4688-aafa-add547525897 + 1 + Double click to edit panel content… + + + + + + 9206 + 13235 + 185 + 271 + + 0 + 0 + 0 + + 9206.054 + 13235.52 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 46c776c4-7ca3-4b86-b1e5-54d4aaaa19b3 + true + Bounds + Bounds + + + + + + 9232 + 13181 + 122 + 28 + + + 9296 + 13195 + + + + + + 1 + Numbers to include in Bounds + 5b8c8460-0f3d-4383-9bcd-0c612c25b722 + true + Numbers + Numbers + false + 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 + 1 + + + + + + 9234 + 13183 + 47 + 24 + + + 9259 + 13195 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + fc0c07eb-e460-44e9-b49f-010dd7ee264b + true + Domain + Domain + false + 0 + + + + + + 9311 + 13183 + 41 + 24 + + + 9333 + 13195 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1c12ee8d-94ec-462b-a5bc-882f08df648a + true + Expression + Expression + + + + + + 9194 + 13595 + 194 + 28 + + + 9294 + 13609 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 502eaf4a-ffb6-4367-814a-a8314de27587 + true + Variable O + O + true + 7d00bba9-0c4c-4b11-92af-fad7f8f0ebc0 + 1 + + + + + + 9196 + 13597 + 14 + 24 + + + 9204.5 + 13609 + + + + + + + + Result of expression + b2bf7e4a-b211-4688-aafa-add547525897 + true + Result + + false + 0 + + + + + + 9377 + 13597 + 9 + 24 + + + 9383 + 13609 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 9aff4bc8-d0ea-4611-905e-7d68dfdef9d9 + true + Expression + Expression + + + + + + 9108 + 13809 + 367 + 28 + + + 9294 + 13823 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2fb28a62-6ce8-4b63-9e3c-e245db22aedb + true + Variable O + O + true + 54f44873-8d34-4412-9dda-78426a1a8b25 + 1 + + + + + + 9110 + 13811 + 14 + 24 + + + 9118.5 + 13823 + + + + + + + + Result of expression + 6227b81c-2695-495a-8438-386f2b55fd52 + true + Result + + false + 0 + + + + + + 9464 + 13811 + 9 + 24 + + + 9470 + 13823 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f83e7873-fd7d-4508-923c-0a1ccf1f5173 + true + Panel + + false + 0 + 6227b81c-2695-495a-8438-386f2b55fd52 + 1 + Double click to edit panel content… + + + + + + 9206 + 13772 + 179 + 20 + + 0 + 0 + 0 + + 9206.192 + 13772.38 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + 627b51c5-9ba6-4062-990b-d2644fab7d08 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 8f563cb8-9910-4e8f-8b51-d6a1eb025af6 + true + Scale + Scale + + + + + + 9214 + 9969 + 154 + 64 + + + 9298 + 10001 + + + + + + Base geometry + 646f1f5e-342f-4ad3-9a54-f48c6520ce0d + true + Geometry + Geometry + true + e9fa65ea-db30-4e31-abf4-2dd776fcae3e + 1 + + + + + + 9216 + 9971 + 67 + 20 + + + 9259 + 9981 + + + + + + + + Center of scaling + 7052e9ef-5fb6-457a-b78f-b878dbc09380 + true + Center + Center + false + 0 + + + + + + 9216 + 9991 + 67 + 20 + + + 9259 + 10001 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + f7e20aa0-3838-4b02-8245-26bd6357e10d + 1/X + true + Factor + Factor + false + c611f570-ad63-4756-a6fb-1677ee1128e3 + 1 + + + + + + 9216 + 10011 + 67 + 20 + + + 9259 + 10021 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + d9aad32e-b6d7-4e88-a1c2-a9e84f1fff68 + true + Geometry + Geometry + false + 0 + + + + + + 9313 + 9971 + 53 + 30 + + + 9341 + 9986 + + + + + + + + Transformation data + 060838a8-24a7-47ae-8b25-7b1c817a8dd8 + true + Transform + Transform + false + 0 + + + + + + 9313 + 10001 + 53 + 30 + + + 9341 + 10016 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + b3d7308b-bd5a-4724-b108-23089d3defeb + true + Point + Point + false + d9aad32e-b6d7-4e88-a1c2-a9e84f1fff68 + 1 + + + + + + 9270 + 9936 + 50 + 24 + + + 9295.343 + 9948.91 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 1d83bc70-a220-4c43-aab3-dfcbb61a9a4c + true + Mirror + Mirror + + + + + + 9236 + 9329 + 138 + 44 + + + 9304 + 9351 + + + + + + Base geometry + 6355b944-52b6-4c12-9965-f0d2ed3e99c7 + true + Geometry + Geometry + true + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + + + + + + 9238 + 9331 + 51 + 20 + + + 9265 + 9341 + + + + + + + + Mirror plane + 079c86ac-fc90-470b-a0c6-a815603df048 + true + Plane + Plane + false + 0 + + + + + + 9238 + 9351 + 51 + 20 + + + 9265 + 9361 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 49675102-ada8-4da0-a13c-ab8b29f23b51 + true + Geometry + Geometry + false + 0 + + + + + + 9319 + 9331 + 53 + 20 + + + 9347 + 9341 + + + + + + + + Transformation data + 7e331478-3c93-4f9d-8e1b-5aa5c2f60f97 + true + Transform + Transform + false + 0 + + + + + + 9319 + 9351 + 53 + 20 + + + 9347 + 9361 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ac94063c-4ea8-4bd7-a1d9-331c5dae31b4 + true + Curve + Curve + false + 700e1289-8912-478e-b981-8c721ed05a37 + 1 + + + + + + 9277 + 9228 + 50 + 24 + + + 9302.593 + 9240.92 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + ee07fea5-e231-490f-8b21-7edc29afcd22 + true + Relay + + false + e2c66b67-3d14-4ba5-bfb2-e25109ddbc91 + 1 + + + + + + 9273 + 13109 + 40 + 16 + + + 9293 + 13117 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d4ee5f33-f554-4034-b7f6-14fd100d6a47 + true + Curve + Curve + false + 3f7e3b9e-e49f-490c-9fac-9e238f044562 + 1 + + + + + + 8840 + 13504 + 50 + 24 + + + 8865.092 + 13516.38 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e2c66b67-3d14-4ba5-bfb2-e25109ddbc91 + true + Curve + Curve + false + ef592b8f-92d2-4a2c-a563-1977cd6aad47 + 1 + + + + + + 8839 + 13214 + 50 + 24 + + + 8864.188 + 13226.53 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + b7b2a002-a144-4b1e-a1c5-227412cac4b8 + true + Scale + Scale + + + + + + 8783 + 13248 + 154 + 64 + + + 8867 + 13280 + + + + + + Base geometry + dd31428e-0cd0-489c-abc3-9a74837b4489 + true + Geometry + Geometry + true + d4ee5f33-f554-4034-b7f6-14fd100d6a47 + 1 + + + + + + 8785 + 13250 + 67 + 20 + + + 8828 + 13260 + + + + + + + + Center of scaling + 7b7ec746-f76c-48dc-a649-b09da857e68e + true + Center + Center + false + 0 + + + + + + 8785 + 13270 + 67 + 20 + + + 8828 + 13280 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + a09c0f0d-0d69-4260-831a-9fd11ef119f9 + 2^X + true + Factor + Factor + false + 010c6158-cd42-4c79-868f-0276d9b2f3fa + 1 + + + + + + 8785 + 13290 + 67 + 20 + + + 8828 + 13300 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + ef592b8f-92d2-4a2c-a563-1977cd6aad47 + true + Geometry + Geometry + false + 0 + + + + + + 8882 + 13250 + 53 + 30 + + + 8910 + 13265 + + + + + + + + Transformation data + 3832caa9-5a38-418b-b7bf-5e1e9b40efeb + true + Transform + Transform + false + 0 + + + + + + 8882 + 13280 + 53 + 30 + + + 8910 + 13295 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d4ee5f33-f554-4034-b7f6-14fd100d6a47 + e2c66b67-3d14-4ba5-bfb2-e25109ddbc91 + b7b2a002-a144-4b1e-a1c5-227412cac4b8 + 27899f96-8899-44d3-a06c-50d23c4c5623 + 82fbeaaf-eadf-485f-82d0-b4fb6356a6b5 + 1f5227c9-0bd8-46a9-92eb-b4cc68012211 + f86306f1-c8d9-4880-859a-aabecea31011 + fe6da4e4-f011-449c-a16e-76977f2cf8e6 + 010c6158-cd42-4c79-868f-0276d9b2f3fa + 517de05e-10b8-4c63-a805-3bfd4a055d28 + 77810d07-6a5e-4230-97d8-292cb1c543b4 + 11 + e89ccdeb-a509-49db-a074-10e074a5cdfe + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 99ca1918-5b9f-48be-a244-7eba09c2a10c + true + Move + Move + + + + + + 9236 + 9265 + 138 + 44 + + + 9304 + 9287 + + + + + + Base geometry + cd198352-59ee-4d6e-94c5-12c6a4f5f2bc + true + Geometry + Geometry + true + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + + + + + + 9238 + 9267 + 51 + 20 + + + 9265 + 9277 + + + + + + + + Translation vector + 77d6f118-5300-4296-bb33-0a74b10fb2d3 + true + Motion + Motion + false + 0 + + + + + + 9238 + 9287 + 51 + 20 + + + 9265 + 9297 + + + + + + 1 + + + + + 1 + {0} + + + + + + 10 + 0 + 0 + + + + + + + + + + + + Translated geometry + 700e1289-8912-478e-b981-8c721ed05a37 + true + Geometry + Geometry + false + 0 + + + + + + 9319 + 9267 + 53 + 20 + + + 9347 + 9277 + + + + + + + + Transformation data + 1a7dadfe-a664-4d8b-8f99-7f79657960ba + true + Transform + Transform + false + 0 + + + + + + 9319 + 9287 + 53 + 20 + + + 9347 + 9297 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 82fbeaaf-eadf-485f-82d0-b4fb6356a6b5 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 8736 + 13460 + 250 + 20 + + + 8736.918 + 13460.76 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1f5227c9-0bd8-46a9-92eb-b4cc68012211 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 8796 + 13339 + 144 + 20 + + 0 + 0 + 0 + + 8796.655 + 13339.24 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + f86306f1-c8d9-4880-859a-aabecea31011 + true + Curve + Curve + false + 0 + + + + + + 8839 + 13171 + 50 + 24 + + + 8864.188 + 13183.53 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + fe6da4e4-f011-449c-a16e-76977f2cf8e6 + true + Curve + Curve + false + 0 + + + + + + 8842 + 13641 + 50 + 24 + + + 8867.688 + 13653.48 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 31d5333d-2f3d-4ecd-b423-21f29b7f4ae5 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 9076 + 13982 + 439 + 20 + + 0 + 0 + 0 + + 9076.574 + 13982.85 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + adc9af1f-6618-430b-878e-74d0382907f3 + true + End Points + End Points + + + + + + 9661 + 9960 + 96 + 44 + + + 9711 + 9982 + + + + + + Curve to evaluate + ac5b0219-e862-4b32-a338-c8d0d993eb88 + true + Curve + Curve + false + d8b30c72-4c75-49c2-9897-3a886d8b0b00 + 1 + + + + + + 9663 + 9962 + 33 + 40 + + + 9681 + 9982 + + + + + + + + Curve start point + 9bb167c2-4add-4cc1-829c-ff4cf603938f + true + Start + Start + false + 0 + + + + + + 9726 + 9962 + 29 + 20 + + + 9742 + 9972 + + + + + + + + Curve end point + 8e693133-5b75-4f5d-8672-b4970127c1c6 + true + End + End + false + 0 + + + + + + 9726 + 9982 + 29 + 20 + + + 9742 + 9992 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 617fc1e7-a4ed-4c98-92e0-dd4bc994a854 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 9646 + 9857 + 126 + 84 + + + 9704 + 9899 + + + + + + Rectangle base plane + 8aef71c0-ddae-407b-9a99-a4d1c46b3846 + true + Plane + Plane + false + 0 + + + + + + 9648 + 9859 + 41 + 20 + + + 9670 + 9869 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + e3c600f1-da43-4003-8817-1f6545f0e601 + true + Point A + Point A + false + 9bb167c2-4add-4cc1-829c-ff4cf603938f + 1 + + + + + + 9648 + 9879 + 41 + 20 + + + 9670 + 9889 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + d5510864-a7dd-4004-af81-705cf49a96c5 + true + Point B + Point B + false + 8e693133-5b75-4f5d-8672-b4970127c1c6 + 1 + + + + + + 9648 + 9899 + 41 + 20 + + + 9670 + 9909 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 257fb57a-99ac-44a6-9096-7340d07eec21 + true + Radius + Radius + false + 0 + + + + + + 9648 + 9919 + 41 + 20 + + + 9670 + 9929 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 0a67dc9b-4caf-41e3-8ade-bf99a13c8f62 + true + Rectangle + Rectangle + false + 0 + + + + + + 9719 + 9859 + 51 + 40 + + + 9746 + 9879 + + + + + + + + Length of rectangle curve + b663e79e-25f5-4c3a-a18e-cb62704c8d38 + true + Length + Length + false + 0 + + + + + + 9719 + 9899 + 51 + 40 + + + 9746 + 9919 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + ce9a1e3e-294a-4732-ad79-2b4d4d03cc71 + true + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 9638 + 9774 + 142 + 64 + + + 9706 + 9806 + + + + + + Rectangle to deconstruct + 881cc932-4b55-4452-a5b1-c797041d8c85 + true + Rectangle + Rectangle + false + 0a67dc9b-4caf-41e3-8ade-bf99a13c8f62 + 1 + + + + + + 9640 + 9776 + 51 + 60 + + + 9667 + 9806 + + + + + + + + Base plane of rectangle + 67f2178c-5451-46a6-a776-2ea1dab9a03d + true + Base Plane + Base Plane + false + 0 + + + + + + 9721 + 9776 + 57 + 20 + + + 9751 + 9786 + + + + + + + + Size interval along base plane X axis + 6d62cfa2-87e5-4e73-bf7c-59602111c661 + true + X Interval + X Interval + false + 0 + + + + + + 9721 + 9796 + 57 + 20 + + + 9751 + 9806 + + + + + + + + Size interval along base plane Y axis + 1ecfb5b4-2f1b-40ca-af51-1487bfd0beb5 + true + Y Interval + Y Interval + false + 0 + + + + + + 9721 + 9816 + 57 + 20 + + + 9751 + 9826 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 935baace-be97-4d0a-84b6-c4c250a58d8d + true + Deconstruct Domain + Deconstruct Domain + + + + + + 9657 + 9647 + 104 + 44 + + + 9715 + 9669 + + + + + + Base domain + efd1c6bf-d5e8-4a31-b5c6-8026a7d70e71 + true + Domain + Domain + false + 1ecfb5b4-2f1b-40ca-af51-1487bfd0beb5 + 1 + + + + + + 9659 + 9649 + 41 + 40 + + + 9681 + 9669 + + + + + + + + Start of domain + f2e8150c-64c1-488e-ac7c-b971c37bba17 + true + Start + Start + false + 0 + + + + + + 9730 + 9649 + 29 + 20 + + + 9746 + 9659 + + + + + + + + End of domain + 67759308-df73-4a46-bfce-1514a5076595 + true + End + End + false + 0 + + + + + + 9730 + 9669 + 29 + 20 + + + 9746 + 9679 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 272e3fd7-5edd-4507-a6ee-d1b778257c1a + true + Deconstruct Domain + Deconstruct Domain + + + + + + 9657 + 9709 + 104 + 44 + + + 9715 + 9731 + + + + + + Base domain + b868b8b1-3c97-4d7c-9272-4c1338de4bfe + true + Domain + Domain + false + 6d62cfa2-87e5-4e73-bf7c-59602111c661 + 1 + + + + + + 9659 + 9711 + 41 + 40 + + + 9681 + 9731 + + + + + + + + Start of domain + 9b9e285b-80b4-426d-9514-8da27385c283 + true + Start + Start + false + 0 + + + + + + 9730 + 9711 + 29 + 20 + + + 9746 + 9721 + + + + + + + + End of domain + 23b8cc44-9782-48ce-b7cc-7cd850f42c18 + true + End + End + false + 0 + + + + + + 9730 + 9731 + 29 + 20 + + + 9746 + 9741 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + 00528d7f-8c30-4e4b-8aa9-d51b29ddb452 + true + Scale NU + Scale NU + + + + + + 9632 + 9524 + 154 + 104 + + + 9716 + 9576 + + + + + + Base geometry + dff888e5-719f-4255-8e28-1c8659844b30 + true + Geometry + Geometry + true + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + + + + + + 9634 + 9526 + 67 + 20 + + + 9677 + 9536 + + + + + + + + Base plane + f9dcb013-c047-4a17-a9b0-276b6e2b6725 + true + Plane + Plane + false + 0 + + + + + + 9634 + 9546 + 67 + 20 + + + 9677 + 9556 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 8ccff032-89bd-455c-9090-1316d5432e0d + 1/X + true + Scale X + Scale X + false + 23b8cc44-9782-48ce-b7cc-7cd850f42c18 + 1 + + + + + + 9634 + 9566 + 67 + 20 + + + 9677 + 9576 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + 4520bdaa-e3ca-44ab-9c06-32625e92f692 + 1/X + true + Scale Y + Scale Y + false + 67759308-df73-4a46-bfce-1514a5076595 + 1 + + + + + + 9634 + 9586 + 67 + 20 + + + 9677 + 9596 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + 835ea717-dd6d-4d57-82da-9b6b833e9161 + true + Scale Z + Scale Z + false + 0 + + + + + + 9634 + 9606 + 67 + 20 + + + 9677 + 9616 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 7f310464-458a-4d8f-a25d-c26becc86f07 + true + Geometry + Geometry + false + 0 + + + + + + 9731 + 9526 + 53 + 50 + + + 9759 + 9551 + + + + + + + + Transformation data + 6f75b075-4ff9-444f-b539-a9ef0e076205 + true + Transform + Transform + false + 0 + + + + + + 9731 + 9576 + 53 + 50 + + + 9759 + 9601 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + adc9af1f-6618-430b-878e-74d0382907f3 + 617fc1e7-a4ed-4c98-92e0-dd4bc994a854 + ce9a1e3e-294a-4732-ad79-2b4d4d03cc71 + 935baace-be97-4d0a-84b6-c4c250a58d8d + 272e3fd7-5edd-4507-a6ee-d1b778257c1a + 00528d7f-8c30-4e4b-8aa9-d51b29ddb452 + d8b30c72-4c75-49c2-9897-3a886d8b0b00 + a907a344-b9c0-468b-a400-728beb37d17d + 2f0446bb-badd-4a2d-b2f7-3ecaffcea83e + d3694f49-88f8-4c69-a50e-2af49ddb9407 + 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d + 72d7ba69-f418-4938-9888-b4b9200c1976 + 12 + a035e05c-284c-4ac7-83d4-fe3f77d478dc + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d8b30c72-4c75-49c2-9897-3a886d8b0b00 + true + Curve + Curve + false + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + + + + + + 9688 + 10034 + 50 + 24 + + + 9713.233 + 10046.13 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + a907a344-b9c0-468b-a400-728beb37d17d + true + Curve + Curve + false + 7f310464-458a-4d8f-a25d-c26becc86f07 + 1 + + + + + + 9685 + 9482 + 50 + 24 + + + 9710.018 + 9494.376 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 2f0446bb-badd-4a2d-b2f7-3ecaffcea83e + true + Move + Move + + + + + + 9638 + 9271 + 138 + 44 + + + 9706 + 9293 + + + + + + Base geometry + d7dd5ec1-7f45-4309-93b8-cdbbbe8c7ae8 + true + Geometry + Geometry + true + a907a344-b9c0-468b-a400-728beb37d17d + 1 + + + + + + 9640 + 9273 + 51 + 20 + + + 9667 + 9283 + + + + + + + + Translation vector + 5c6631fb-0696-45e3-a6b9-de77990fb016 + true + Motion + Motion + false + 061ec223-6427-41e5-bb45-ff42561fac13 + 1 + + + + + + 9640 + 9293 + 51 + 20 + + + 9667 + 9303 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 275760ae-43fe-482e-8a87-497bb13078ef + true + Geometry + Geometry + false + 0 + + + + + + 9721 + 9273 + 53 + 20 + + + 9749 + 9283 + + + + + + + + Transformation data + a25178d3-0c97-492c-8e28-9683f2fb3800 + true + Transform + Transform + false + 0 + + + + + + 9721 + 9293 + 53 + 20 + + + 9749 + 9303 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d3694f49-88f8-4c69-a50e-2af49ddb9407 + true + Curve + Curve + false + 275760ae-43fe-482e-8a87-497bb13078ef + 1 + + + + + + 9685 + 9228 + 50 + 24 + + + 9710.349 + 9240.589 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9c3abe66-6178-41fc-9486-5a8a5127c817 + true + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 9076 + 14143 + 439 + 22 + + 0 + 0 + 0 + + 9076.879 + 14143.81 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 6a8fee44-2302-45df-b1b2-d84c0a567487 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 9169 + 14294 + 251 + 20 + + + 9169.484 + 14294.21 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cb3edda4-af7d-4284-a8c6-e088a6688f37 + true + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 9076 + 14202 + 439 + 20 + + 0 + 0 + 0 + + 9076.324 + 14202.85 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X + true + 72d0b584-fd81-41fc-a990-23a44f9c78b4 + true + Expression + + + + + + + 9267 + 14391 + 62 + 28 + + + 9301 + 14405 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + b13c2214-da95-44c6-a1f3-60ee94066955 + true + Variable X + X + true + ffab67ab-18ec-45a4-aa0f-a657ab7a28ad + 1 + + + + + + 9269 + 14393 + 14 + 24 + + + 9277.5 + 14405 + + + + + + + + Result of expression + 0dab6791-f1ad-4881-a86b-223e0ea6c394 + true + Result + + false + 0 + + + + + + 9318 + 14393 + 9 + 24 + + + 9324 + 14405 + + + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + c8993beb-b45b-4c31-9990-7eb86ffdc60d + true + Point + Point + false + 1208fa26-35cd-449c-8bab-d5024ce56926 + 1 + + + + + + 9292 + 11918 + 50 + 24 + + + 9317.3 + 11930.94 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 1208fa26-35cd-449c-8bab-d5024ce56926 + true + Relay + + false + 4ff605e6-a509-4af8-9890-63cf4e497a61 + 1 + + + + + + 9295 + 11965 + 40 + 16 + + + 9315 + 11973 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e9fa65ea-db30-4e31-abf4-2dd776fcae3e + true + Relay + + false + fe2c1b3f-3bda-479f-9ab6-83e2e178d9e7 + 1 + + + + + + 9295 + 11742 + 40 + 16 + + + 9315 + 11750 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 9acdadaa-96e4-4e3f-b354-95632380b4b1 + true + Scale + Scale + + + + + + 9238 + 11778 + 154 + 64 + + + 9322 + 11810 + + + + + + Base geometry + e5fdd253-0cf5-4ae6-9611-d7b0eae02c32 + true + Geometry + Geometry + true + c8993beb-b45b-4c31-9990-7eb86ffdc60d + 1 + + + + + + 9240 + 11780 + 67 + 20 + + + 9283 + 11790 + + + + + + + + Center of scaling + d8ae4010-44ab-4990-8935-08bf1a605baf + true + Center + Center + false + 0 + + + + + + 9240 + 11800 + 67 + 20 + + + 9283 + 11810 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 2703f972-737f-46b6-ad79-0d52eac2fbb2 + 2^X + true + Factor + Factor + false + 993a4bbf-a82f-4209-b544-cec1a75b5c95 + 1 + + + + + + 9240 + 11820 + 67 + 20 + + + 9283 + 11830 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + fe2c1b3f-3bda-479f-9ab6-83e2e178d9e7 + true + Geometry + Geometry + false + 0 + + + + + + 9337 + 11780 + 53 + 30 + + + 9365 + 11795 + + + + + + + + Transformation data + 2b888928-1ad5-4036-9283-5785e6b35b24 + true + Transform + Transform + false + 0 + + + + + + 9337 + 11810 + 53 + 30 + + + 9365 + 11825 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 993a4bbf-a82f-4209-b544-cec1a75b5c95 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 9197 + 11863 + 250 + 20 + + + 9197.079 + 11863.3 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c8993beb-b45b-4c31-9990-7eb86ffdc60d + 1 + 30884d74-7a79-4131-9e30-3d6188286538 + Group + Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 010c6158-cd42-4c79-868f-0276d9b2f3fa + true + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 8845 + 13423 + 40 + 16 + + + 8865 + 13431 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 517de05e-10b8-4c63-a805-3bfd4a055d28 + true + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 8793 + 13390 + 144 + 20 + + 0 + 0 + 0 + + 8793.912 + 13390.07 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 3108fcf8-bcd2-4ede-be7f-b826424c45a3 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 9169 + 14245 + 251 + 20 + + + 9169.484 + 14245.96 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 72d7ba69-f418-4938-9888-b4b9200c1976 + true + Vector XYZ + Vector XYZ + + + + + + 9638 + 9357 + 139 + 64 + + + 9723 + 9389 + + + + + + Vector {x} component + db523777-9cbd-4f02-acfd-bd8d8b9ccdd8 + true + X component + X component + false + 0 + + + + + + 9640 + 9359 + 68 + 20 + + + 9675.5 + 9369 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Vector {y} component + 07143fa2-c6c8-47a1-a84f-c8e0308f782b + true + Y component + Y component + false + 0 + + + + + + 9640 + 9379 + 68 + 20 + + + 9675.5 + 9389 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5 + + + + + + + + + + + Vector {z} component + 87691a0a-08c6-40eb-adc3-6ea410c7464d + true + Z component + Z component + false + 0 + + + + + + 9640 + 9399 + 68 + 20 + + + 9675.5 + 9409 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 061ec223-6427-41e5-bb45-ff42561fac13 + true + Vector + Vector + false + 0 + + + + + + 9738 + 9359 + 37 + 30 + + + 9758 + 9374 + + + + + + + + Vector length + b9bd2d66-f1e1-40ae-8ba4-3041ae4cea1a + true + Length + Length + false + 0 + + + + + + 9738 + 9389 + 37 + 30 + + + 9758 + 9404 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 22d8d287-574a-486a-bb10-c3dd6f030770 + true + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 9274 + 13903 + 40 + 16 + + + 9294 + 13911 + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 77810d07-6a5e-4230-97d8-292cb1c543b4 + true + Stream Filter + Stream Filter + + + + + + 8822 + 13555 + 89 + 64 + + + 8867 + 13587 + + + + + + 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 + fe40f09c-a6e0-4c98-b50a-2c5676661f2c + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 8824 + 13557 + 28 + 20 + + + 8839.5 + 13567 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 19c5bf70-ae47-423e-873a-ef0070300ef2 + true + false + Stream 0 + 0 + true + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + + + + + + 8824 + 13577 + 28 + 20 + + + 8839.5 + 13587 + + + + + + + + 2 + Input stream at index 1 + d60c5593-cb13-47c1-af94-d41c5d7a4bfa + true + false + Stream 1 + 1 + true + b09beea0-b303-4bd8-86ed-e165609c0970 + 1 + + + + + + 8824 + 13597 + 28 + 20 + + + 8839.5 + 13607 + + + + + + + + 2 + Filtered stream + 3f7e3b9e-e49f-490c-9fac-9e238f044562 + true + false + Stream + S(1) + false + 0 + + + + + + 8882 + 13557 + 27 + 60 + + + 8897 + 13587 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + c93e1bf6-0f3e-4135-b085-2deae15e75c6 + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 16.0000000000 + + + + + + 11386 + 23774 + 250 + 20 + + + 11386.75 + 23774.78 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + Relay + + false + 75f1723a-1115-4b28-b4c3-e710e5895f81 + 1 + + + + + + 11491 + 23685 + 40 + 16 + + + 11511 + 23693 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 75f1723a-1115-4b28-b4c3-e710e5895f81 + Number + Number + false + c93e1bf6-0f3e-4135-b085-2deae15e75c6 + 1 + + + + + + 11486 + 23732 + 50 + 24 + + + 11511.84 + 23744.15 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c93e1bf6-0f3e-4135-b085-2deae15e75c6 + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 75f1723a-1115-4b28-b4c3-e710e5895f81 + 3 + e48d37a4-31d8-475b-b2b4-409089413c61 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ddda4732-6250-4450-a11a-010b13680da0 + a3f6ca53-8639-4a50-8e51-9d73d0818a56 + c86ec8a3-9ea7-4981-9a9d-edda0165242c + 3fe7a6e2-d179-493c-a8f1-8105d057ade7 + 3b353169-95e9-4680-9cf6-3f909e1356e1 + 76aa88d4-0024-4f8d-bdda-fa012bf2b40c + 6 + a1587c9a-f3ec-4c84-9897-785b73d7cb38 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0115c254-9173-42fc-bf12-071a5eb0256a + 7d213a68-e09d-4328-8663-9c213a37e085 + a7307d35-ba82-4827-bbec-ff43d07462e9 + 39f238ce-fb8f-4df8-b2f2-934202f77966 + 438f4c39-f2d7-409a-b6df-acadf084676b + 51e947dc-647a-4275-a7bc-34d84f8c3e57 + 97d48673-4187-4fef-af36-5f353e9172b7 + becf9e3b-cad2-4c0e-a4dc-9cd9eb99aa22 + c03cf540-76a6-4eca-9036-4d3a467c372c + 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 + 85fe1e3c-2f5a-43ce-9ab4-9ce1b14da7c7 + 05264c8f-592a-476b-80f9-5b962afd2102 + 97fa5528-d1af-4dff-b66b-8510b1b0723d + 799111ff-a894-4037-975b-d2f9969e7e8e + c224342c-801f-4459-9224-44879ddf539f + 92d09aed-b1f5-40c3-998b-c15e31faa838 + eb7774ed-5951-4ab5-8a4e-422674d17722 + 42069a71-d151-4dbd-8337-e9a35f50d4ba + da98717c-d14f-48a8-9166-edd2eecf5c2e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef + dd14e3bf-8d3f-4586-aad2-35d0a0c949f7 + 04753d62-726c-4f0a-b953-215fae1965c1 + a16d2583-b304-4455-b1f8-443b2dfd903f + b43e97f9-9efd-409a-9c38-8aca960258ee + 55ea1684-66d4-4e70-bf7e-36f8da5eb144 + 3f6cea5e-c88f-465c-88bc-98d162d76cc7 + 266dea25-3691-42cd-9388-199752211091 + 560c22be-246f-444d-ae21-3eae4fdc2c5e + 07ce4975-8027-48f5-b1dd-799d75f55227 + 37e63a3e-af5a-41ef-8276-fb65806d30ae + 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 + 4db807a3-68da-4624-885c-4004466b221d + e8a97c6e-2791-4014-9d84-cc711e836f99 + aee43447-61a8-4e59-9956-72dcbac410de + b7b49fbf-17c8-43da-a6df-339d9a9a6557 + 4a0c4826-3100-4299-a630-853b544f4737 + 01016d06-2882-4690-9359-fd036cf1bc89 + d67a7210-fc04-4817-ba96-8ef643797ca8 + 39284689-e8f7-4167-8bbc-9ec3a75d5b77 + 088d3c70-70d6-4b21-9673-93bd3a7b5ae5 + f5a8249a-5963-48e9-993b-d937df7e5887 + c3e28a5d-c3ae-4a90-9942-c3881598e108 + 24a26a0a-2c77-42f7-817b-159896d7f078 + 72662119-790d-4cdb-be73-a81f3a3315d1 + 7f8c120c-673e-4ea2-b61b-045af5897f90 + e8a0fc04-4f1d-4ca3-9c5c-3c550e3067c1 + 27be3162-4c6a-4a59-a453-7ca65d602b63 + 2707a334-7398-47dd-a6d7-7e43f545bdd2 + 9a38140c-37fa-42cf-af9f-b387bb97fcbf + 8a747494-7e8b-40ea-bb93-fcb27e7ad93e + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 00279feb-16c9-400b-98c3-c230f7c5baf1 + b1d42c60-3f0c-4e7a-a12d-46dda6710889 + 6bd6aad8-5fb1-494e-b1b2-7a5af0b6be06 + d851c0fc-b58d-4fc4-8f66-48db18d0524d + f9a0ebd0-236d-434b-baa1-c89d9887e509 + bffd1539-4139-4b0c-b604-e7f7d7a49e27 + 78c6c476-3e5a-43d9-942a-e32a1bd8341c + 63da5a14-14d8-4b3a-bca3-90f33f5a6d2d + 0657fa7f-36d6-4ded-87c9-fa3214ed6a40 + b3400eb7-f424-4126-93fb-7a46f60c09de + 3f37173e-5d6c-40dd-8cc1-b846e92fd738 + 7a47c011-cbf4-4047-8c80-c1178ae035ab + 3ef9ab54-9776-4aed-aee8-f1a09b0b6701 + 3b1f7922-4b7e-4166-983c-75cb3eb8a170 + d8844e6a-8ed6-47e6-b71d-3e8759974784 + 2466d393-59b0-44a7-9bd6-a60e3db2a1c6 + dcf57667-d488-4173-a38b-e201d6714472 + a9982cc5-6f10-4b54-adef-fa826b701d03 + 58091a26-9398-4dc8-a07a-187aacb3aeba + 1dbe9a75-22aa-4f51-84fc-b8e986d66b5e + 7516f2d4-2a9b-4fdd-a932-aa5a77b81a08 + 3b6e3bdb-033f-4638-95fc-9a56faba2fdb + 618ef6f7-de00-4431-89c5-1f39302e094c + c110440b-e321-42a9-9db8-78497fbde38f + 756d2d51-d7f6-4402-9d75-aad4ee697736 + 5cc374f6-23ee-40c4-a583-270d25678efb + e44c5a2a-fb8d-4dcb-9a13-a9154875d3d5 + 8226fdbd-9d16-4960-baba-a79b21bec7dc + 34b91d1e-2f87-484a-b784-0cc6d1cd5f34 + 1cc4ce65-802a-413c-851c-f786e9032630 + bb3d5a6c-0b9d-4f22-8e71-bc35406b7647 + 83 + 830247f2-8a9a-4b01-90cf-3c751e89f2fe + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7d213a68-e09d-4328-8663-9c213a37e085 + a7307d35-ba82-4827-bbec-ff43d07462e9 + 39f238ce-fb8f-4df8-b2f2-934202f77966 + 438f4c39-f2d7-409a-b6df-acadf084676b + 51e947dc-647a-4275-a7bc-34d84f8c3e57 + 97d48673-4187-4fef-af36-5f353e9172b7 + becf9e3b-cad2-4c0e-a4dc-9cd9eb99aa22 + c03cf540-76a6-4eca-9036-4d3a467c372c + 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 + 85fe1e3c-2f5a-43ce-9ab4-9ce1b14da7c7 + 05264c8f-592a-476b-80f9-5b962afd2102 + 97fa5528-d1af-4dff-b66b-8510b1b0723d + 799111ff-a894-4037-975b-d2f9969e7e8e + c224342c-801f-4459-9224-44879ddf539f + 92d09aed-b1f5-40c3-998b-c15e31faa838 + eb7774ed-5951-4ab5-8a4e-422674d17722 + 42069a71-d151-4dbd-8337-e9a35f50d4ba + da98717c-d14f-48a8-9166-edd2eecf5c2e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef + dd14e3bf-8d3f-4586-aad2-35d0a0c949f7 + 04753d62-726c-4f0a-b953-215fae1965c1 + a16d2583-b304-4455-b1f8-443b2dfd903f + b43e97f9-9efd-409a-9c38-8aca960258ee + 55ea1684-66d4-4e70-bf7e-36f8da5eb144 + 3f6cea5e-c88f-465c-88bc-98d162d76cc7 + 266dea25-3691-42cd-9388-199752211091 + 560c22be-246f-444d-ae21-3eae4fdc2c5e + 07ce4975-8027-48f5-b1dd-799d75f55227 + 37e63a3e-af5a-41ef-8276-fb65806d30ae + 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 + 4db807a3-68da-4624-885c-4004466b221d + e8a97c6e-2791-4014-9d84-cc711e836f99 + aee43447-61a8-4e59-9956-72dcbac410de + b7b49fbf-17c8-43da-a6df-339d9a9a6557 + 4a0c4826-3100-4299-a630-853b544f4737 + 01016d06-2882-4690-9359-fd036cf1bc89 + d67a7210-fc04-4817-ba96-8ef643797ca8 + 39284689-e8f7-4167-8bbc-9ec3a75d5b77 + 088d3c70-70d6-4b21-9673-93bd3a7b5ae5 + f5a8249a-5963-48e9-993b-d937df7e5887 + c3e28a5d-c3ae-4a90-9942-c3881598e108 + 24a26a0a-2c77-42f7-817b-159896d7f078 + 72662119-790d-4cdb-be73-a81f3a3315d1 + 7f8c120c-673e-4ea2-b61b-045af5897f90 + e8a0fc04-4f1d-4ca3-9c5c-3c550e3067c1 + 27be3162-4c6a-4a59-a453-7ca65d602b63 + 2707a334-7398-47dd-a6d7-7e43f545bdd2 + 9a38140c-37fa-42cf-af9f-b387bb97fcbf + 8a747494-7e8b-40ea-bb93-fcb27e7ad93e + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 00279feb-16c9-400b-98c3-c230f7c5baf1 + b1d42c60-3f0c-4e7a-a12d-46dda6710889 + 6bd6aad8-5fb1-494e-b1b2-7a5af0b6be06 + d851c0fc-b58d-4fc4-8f66-48db18d0524d + f9a0ebd0-236d-434b-baa1-c89d9887e509 + bffd1539-4139-4b0c-b604-e7f7d7a49e27 + 78c6c476-3e5a-43d9-942a-e32a1bd8341c + 63da5a14-14d8-4b3a-bca3-90f33f5a6d2d + 0657fa7f-36d6-4ded-87c9-fa3214ed6a40 + b3400eb7-f424-4126-93fb-7a46f60c09de + 3f37173e-5d6c-40dd-8cc1-b846e92fd738 + 7a47c011-cbf4-4047-8c80-c1178ae035ab + 3ef9ab54-9776-4aed-aee8-f1a09b0b6701 + 3b1f7922-4b7e-4166-983c-75cb3eb8a170 + d8844e6a-8ed6-47e6-b71d-3e8759974784 + 2466d393-59b0-44a7-9bd6-a60e3db2a1c6 + dcf57667-d488-4173-a38b-e201d6714472 + a9982cc5-6f10-4b54-adef-fa826b701d03 + 58091a26-9398-4dc8-a07a-187aacb3aeba + 1dbe9a75-22aa-4f51-84fc-b8e986d66b5e + 7516f2d4-2a9b-4fdd-a932-aa5a77b81a08 + 3b6e3bdb-033f-4638-95fc-9a56faba2fdb + 618ef6f7-de00-4431-89c5-1f39302e094c + c110440b-e321-42a9-9db8-78497fbde38f + 756d2d51-d7f6-4402-9d75-aad4ee697736 + 5cc374f6-23ee-40c4-a583-270d25678efb + e44c5a2a-fb8d-4dcb-9a13-a9154875d3d5 + 8226fdbd-9d16-4960-baba-a79b21bec7dc + 79 + 0115c254-9173-42fc-bf12-071a5eb0256a + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5cc374f6-23ee-40c4-a583-270d25678efb + 1 + 7d213a68-e09d-4328-8663-9c213a37e085 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 39f238ce-fb8f-4df8-b2f2-934202f77966 + 1 + a7307d35-ba82-4827-bbec-ff43d07462e9 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 438f4c39-f2d7-409a-b6df-acadf084676b + 1 + 39f238ce-fb8f-4df8-b2f2-934202f77966 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 51e947dc-647a-4275-a7bc-34d84f8c3e57 + 1 + 438f4c39-f2d7-409a-b6df-acadf084676b + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 97d48673-4187-4fef-af36-5f353e9172b7 + 1 + 51e947dc-647a-4275-a7bc-34d84f8c3e57 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + becf9e3b-cad2-4c0e-a4dc-9cd9eb99aa22 + 1 + 97d48673-4187-4fef-af36-5f353e9172b7 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 + 1 + becf9e3b-cad2-4c0e-a4dc-9cd9eb99aa22 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c03cf540-76a6-4eca-9036-4d3a467c372c + true + Curve + Curve + false + 0 + + + + + + 11213 + 13162 + 50 + 24 + + + 11238.33 + 13174.48 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + c03cf540-76a6-4eca-9036-4d3a467c372c + 1 + 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 07ce4975-8027-48f5-b1dd-799d75f55227 + 1 + 85fe1e3c-2f5a-43ce-9ab4-9ce1b14da7c7 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 97fa5528-d1af-4dff-b66b-8510b1b0723d + 799111ff-a894-4037-975b-d2f9969e7e8e + c224342c-801f-4459-9224-44879ddf539f + 92d09aed-b1f5-40c3-998b-c15e31faa838 + eb7774ed-5951-4ab5-8a4e-422674d17722 + 42069a71-d151-4dbd-8337-e9a35f50d4ba + da98717c-d14f-48a8-9166-edd2eecf5c2e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + dd14e3bf-8d3f-4586-aad2-35d0a0c949f7 + eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef + 85fe1e3c-2f5a-43ce-9ab4-9ce1b14da7c7 + 8f0c38e7-275b-4512-9c33-0dc8fe13dce8 + d8844e6a-8ed6-47e6-b71d-3e8759974784 + 2466d393-59b0-44a7-9bd6-a60e3db2a1c6 + dcf57667-d488-4173-a38b-e201d6714472 + a9982cc5-6f10-4b54-adef-fa826b701d03 + 58091a26-9398-4dc8-a07a-187aacb3aeba + 1dbe9a75-22aa-4f51-84fc-b8e986d66b5e + 7a47c011-cbf4-4047-8c80-c1178ae035ab + 3ef9ab54-9776-4aed-aee8-f1a09b0b6701 + 20 + 05264c8f-592a-476b-80f9-5b962afd2102 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 97fa5528-d1af-4dff-b66b-8510b1b0723d + true + Duplicate Data + Duplicate Data + + + + + + 11188 + 14326 + 104 + 64 + + + 11247 + 14358 + + + + + + 1 + Data to duplicate + 273777b5-63c7-4554-8ade-40bc7c166f1e + true + Data + Data + false + d2af385a-c99b-412b-875e-b7f232cf85d5 + 1 + + + + + + 11190 + 14328 + 42 + 20 + + + 11212.5 + 14338 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 88b90c14-24ef-4b27-838f-c5e1dc1f3b01 + true + Number + Number + false + 3b1f7922-4b7e-4166-983c-75cb3eb8a170 + 1 + + + + + + 11190 + 14348 + 42 + 20 + + + 11212.5 + 14358 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 346ed1af-e879-4418-a63a-d4517ce4c44e + true + Order + Order + false + 0 + + + + + + 11190 + 14368 + 42 + 20 + + + 11212.5 + 14378 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + e85bb288-0b73-4631-9ca9-b495a29c7a2e + true + Data + Data + false + 0 + + + + + + 11262 + 14328 + 28 + 60 + + + 11277.5 + 14358 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 799111ff-a894-4037-975b-d2f9969e7e8e + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 11174 + 12398 + 116 + 44 + + + 11235 + 12420 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + b77c12a2-ec4f-4dca-80a6-898b8c983661 + true + Forward + Forward + true + 1 + true + e85bb288-0b73-4631-9ca9-b495a29c7a2e + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 11176 + 12400 + 44 + 20 + + + 11199.5 + 12410 + + + + + + + + 1 + false + Script Variable Left + 7c56eed6-933c-49e0-a940-33041919ee4e + true + Left + Left + true + 1 + true + 2051c393-183d-424b-8496-cd6a361d114b + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 11176 + 12420 + 44 + 20 + + + 11199.5 + 12430 + + + + + + + + Print, Reflect and Error streams + f23e7782-d952-4671-8ef8-5b08eb1e4790 + true + Output + Output + false + 0 + + + + + + 11250 + 12400 + 38 + 20 + + + 11270.5 + 12410 + + + + + + + + Output parameter Points + 6675e784-7e56-4b18-8b5b-3311ab42d31a + true + Points + Points + false + 0 + + + + + + 11250 + 12420 + 38 + 20 + + + 11270.5 + 12430 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 92d09aed-b1f5-40c3-998b-c15e31faa838 + true + Series + Series + + + + + + 11185 + 13655 + 101 + 64 + + + 11235 + 13687 + + + + + + First number in the series + 7ce218dd-2717-404e-9ac3-dfed36bf0bf1 + true + Start + Start + false + 0 + + + + + + 11187 + 13657 + 33 + 20 + + + 11205 + 13667 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + f7e99b0e-cf72-47db-acfd-b926c724caad + true + Step + Step + false + 756d2d51-d7f6-4402-9d75-aad4ee697736 + 1 + + + + + + 11187 + 13677 + 33 + 20 + + + 11205 + 13687 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + aa269e61-4b90-4db9-8c0c-2001ff3fc67c + true + Count + Count + false + 3b1f7922-4b7e-4166-983c-75cb3eb8a170 + 1 + + + + + + 11187 + 13697 + 33 + 20 + + + 11205 + 13707 + + + + + + + + 1 + Series of numbers + 3922bdee-0233-40b3-8d10-a0a0cd81b6ab + true + Series + Series + false + 0 + + + + + + 11250 + 13657 + 34 + 60 + + + 11268.5 + 13687 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + eb7774ed-5951-4ab5-8a4e-422674d17722 + true + Number Slider + + false + 0 + + + + + + 11171 + 14506 + 150 + 20 + + + 11171.01 + 14506.33 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 42069a71-d151-4dbd-8337-e9a35f50d4ba + true + Radians + Radians + + + + + + 11174 + 13872 + 120 + 28 + + + 11235 + 13886 + + + + + + Angle in degrees + 69a2b85d-c1c8-495f-a565-7cc67dd8b2e9 + true + Degrees + Degrees + false + cce1227a-54c9-49c2-b6fc-09416f38af63 + 1 + + + + + + 11176 + 13874 + 44 + 24 + + + 11199.5 + 13886 + + + + + + + + Angle in radians + 6ab8d1eb-c048-4e31-be0c-e13b590101c4 + true + Radians + Radians + false + 0 + + + + + + 11250 + 13874 + 42 + 24 + + + 11272.5 + 13886 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + da98717c-d14f-48a8-9166-edd2eecf5c2e + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 11111 + 14181 + 251 + 20 + + + 11111.72 + 14181.6 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef + true + Interpolate (t) + Interpolate (t) + + + + + + 11160 + 11633 + 144 + 84 + + + 11246 + 11675 + + + + + + 1 + Interpolation points + b69a07e8-dd90-4055-bd3d-d1f456cc5f2b + true + Vertices + Vertices + false + c86ec8a3-9ea7-4981-9a9d-edda0165242c + 1 + + + + + + 11162 + 11635 + 69 + 20 + + + 11198 + 11645 + + + + + + + + Tangent at start of curve + 1901724b-21a1-444a-b82f-9defb71de72e + true + Tangent Start + Tangent Start + false + 0 + + + + + + 11162 + 11655 + 69 + 20 + + + 11198 + 11665 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + aac5daa1-5440-4fad-a59c-70b69b4e7c2d + true + Tangent End + Tangent End + false + 0 + + + + + + 11162 + 11675 + 69 + 20 + + + 11198 + 11685 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + b3b5bae3-b7a6-41b7-9944-b7171388e0c2 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 11162 + 11695 + 69 + 20 + + + 11198 + 11705 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b + true + Curve + Curve + false + 0 + + + + + + 11261 + 11635 + 41 + 26 + + + 11283 + 11648.33 + + + + + + + + Curve length + e65f2032-b1f4-4d2f-90f9-86477a6e223c + true + Length + Length + false + 0 + + + + + + 11261 + 11661 + 41 + 27 + + + 11283 + 11675 + + + + + + + + Curve domain + ee33a623-0089-4e90-ac66-4f4e97759337 + true + Domain + Domain + false + 0 + + + + + + 11261 + 11688 + 41 + 27 + + + 11283 + 11701.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 97fa5528-d1af-4dff-b66b-8510b1b0723d + 799111ff-a894-4037-975b-d2f9969e7e8e + c224342c-801f-4459-9224-44879ddf539f + 92d09aed-b1f5-40c3-998b-c15e31faa838 + eb7774ed-5951-4ab5-8a4e-422674d17722 + 42069a71-d151-4dbd-8337-e9a35f50d4ba + da98717c-d14f-48a8-9166-edd2eecf5c2e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 3b6e3bdb-033f-4638-95fc-9a56faba2fdb + e8a97c6e-2791-4014-9d84-cc711e836f99 + 3f37173e-5d6c-40dd-8cc1-b846e92fd738 + 7516f2d4-2a9b-4fdd-a932-aa5a77b81a08 + 618ef6f7-de00-4431-89c5-1f39302e094c + b297a4bc-6ceb-462f-a794-9fe2bd6e73c9 + 14 + dd14e3bf-8d3f-4586-aad2-35d0a0c949f7 + Group + + + + + + + + + + + 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 + 04753d62-726c-4f0a-b953-215fae1965c1 + true + Evaluate Length + Evaluate Length + + + + + + 11160 + 11465 + 144 + 64 + + + 11234 + 11497 + + + + + + Curve to evaluate + 775bccae-e3db-45af-8fcd-154b93b7d840 + true + Curve + Curve + false + 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b + 1 + + + + + + 11162 + 11467 + 57 + 20 + + + 11192 + 11477 + + + + + + + + Length factor for curve evaluation + 0de78bc5-97dc-4c12-a0c3-7f5c0c6482ba + true + Length + Length + false + 0 + + + + + + 11162 + 11487 + 57 + 20 + + + 11192 + 11497 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 4a121bf2-472b-4f16-a175-55a930861cf6 + true + Normalized + Normalized + false + 0 + + + + + + 11162 + 11507 + 57 + 20 + + + 11192 + 11517 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + e5aee969-d839-4183-ba72-a80a5ff27f80 + true + Point + Point + false + 0 + + + + + + 11249 + 11467 + 53 + 20 + + + 11277 + 11477 + + + + + + + + Tangent vector at the specified length + f6381e3b-b9f3-4331-b1eb-a5fa1815abe8 + true + Tangent + Tangent + false + 0 + + + + + + 11249 + 11487 + 53 + 20 + + + 11277 + 11497 + + + + + + + + Curve parameter at the specified length + b5519545-829e-4294-ad3e-b418d2c391e7 + true + Parameter + Parameter + false + 0 + + + + + + 11249 + 11507 + 53 + 20 + + + 11277 + 11517 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + a16d2583-b304-4455-b1f8-443b2dfd903f + true + Mirror + Mirror + + + + + + 11163 + 11403 + 138 + 44 + + + 11231 + 11425 + + + + + + Base geometry + ef7bd927-8088-4452-b3f7-479883ea72df + true + Geometry + Geometry + true + 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b + 1 + + + + + + 11165 + 11405 + 51 + 20 + + + 11192 + 11415 + + + + + + + + Mirror plane + 0fb43728-5ecc-4d35-b3af-748c0b6c6ee7 + true + Plane + Plane + false + 274f6ef7-cbef-49b4-80aa-6ba6bc9745cf + 1 + + + + + + 11165 + 11425 + 51 + 20 + + + 11192 + 11435 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + d5aa6ccd-1694-4b45-a780-ad02d5bc37a0 + true + Geometry + Geometry + false + 0 + + + + + + 11246 + 11405 + 53 + 20 + + + 11274 + 11415 + + + + + + + + Transformation data + a1e8c81d-6797-4580-a27c-be2c36847f2f + true + Transform + Transform + false + 0 + + + + + + 11246 + 11425 + 53 + 20 + + + 11274 + 11435 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + b43e97f9-9efd-409a-9c38-8aca960258ee + true + Line SDL + Line SDL + + + + + + 11179 + 11549 + 106 + 64 + + + 11243 + 11581 + + + + + + Line start point + 2de69161-bd69-40dc-82ca-a93fb28ba0d3 + true + Start + Start + false + e5aee969-d839-4183-ba72-a80a5ff27f80 + 1 + + + + + + 11181 + 11551 + 47 + 20 + + + 11206 + 11561 + + + + + + + + Line tangent (direction) + c339d068-c71d-46ca-aea7-fd3f77dce50d + true + Direction + Direction + false + f6381e3b-b9f3-4331-b1eb-a5fa1815abe8 + 1 + + + + + + 11181 + 11571 + 47 + 20 + + + 11206 + 11581 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + b454c211-53ea-44fc-ac27-f6ac85273032 + true + Length + Length + false + 0 + + + + + + 11181 + 11591 + 47 + 20 + + + 11206 + 11601 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 274f6ef7-cbef-49b4-80aa-6ba6bc9745cf + true + Line + Line + false + 0 + + + + + + 11258 + 11551 + 25 + 60 + + + 11272 + 11581 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 55ea1684-66d4-4e70-bf7e-36f8da5eb144 + true + Join Curves + Join Curves + + + + + + 11173 + 11341 + 118 + 44 + + + 11236 + 11363 + + + + + + 1 + Curves to join + ea2f7eeb-6aa0-4c54-bc0a-e5734e9802bf + true + Curves + Curves + false + 50d574b8-2cc7-4eb6-8e9f-63004b4c4a6b + d5aa6ccd-1694-4b45-a780-ad02d5bc37a0 + 2 + + + + + + 11175 + 11343 + 46 + 20 + + + 11199.5 + 11353 + + + + + + + + Preserve direction of input curves + caaf36c7-0e3d-4a33-932e-82d1308223c5 + true + Preserve + Preserve + false + 0 + + + + + + 11175 + 11363 + 46 + 20 + + + 11199.5 + 11373 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 0c4fa04b-0df7-4c77-bcef-4f44e825b58e + true + Curves + Curves + false + 0 + + + + + + 11251 + 11343 + 38 + 40 + + + 11271.5 + 11363 + + + + + + + + + + + + 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 + 3f6cea5e-c88f-465c-88bc-98d162d76cc7 + true + Evaluate Length + Evaluate Length + + + + + + 11160 + 11257 + 144 + 64 + + + 11234 + 11289 + + + + + + Curve to evaluate + 28e20bff-7614-4269-a1a0-db7fa1b86b75 + true + Curve + Curve + false + 0c4fa04b-0df7-4c77-bcef-4f44e825b58e + 1 + + + + + + 11162 + 11259 + 57 + 20 + + + 11192 + 11269 + + + + + + + + Length factor for curve evaluation + 99a291e7-491e-404d-b96b-34eca24f583a + true + Length + Length + false + 0 + + + + + + 11162 + 11279 + 57 + 20 + + + 11192 + 11289 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 00385587-6b08-489d-8026-7cb66b324f45 + true + Normalized + Normalized + false + 0 + + + + + + 11162 + 11299 + 57 + 20 + + + 11192 + 11309 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 06379fb2-509d-4321-947c-f2c178e5f5cd + true + Point + Point + false + 0 + + + + + + 11249 + 11259 + 53 + 20 + + + 11277 + 11269 + + + + + + + + Tangent vector at the specified length + 428199f5-776f-43d7-85d6-a51ed6af6d4d + true + Tangent + Tangent + false + 0 + + + + + + 11249 + 11279 + 53 + 20 + + + 11277 + 11289 + + + + + + + + Curve parameter at the specified length + 9bd8189b-a8fc-4fe3-a55d-5635dc456164 + true + Parameter + Parameter + false + 0 + + + + + + 11249 + 11299 + 53 + 20 + + + 11277 + 11309 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 266dea25-3691-42cd-9388-199752211091 + true + Rotate + Rotate + + + + + + 11163 + 11174 + 138 + 64 + + + 11231 + 11206 + + + + + + Base geometry + 5f5d95ab-d319-4353-95f4-64c5e4272ee1 + true + Geometry + Geometry + true + 0c4fa04b-0df7-4c77-bcef-4f44e825b58e + 1 + + + + + + 11165 + 11176 + 51 + 20 + + + 11192 + 11186 + + + + + + + + Rotation angle in radians + b1111ec4-1375-4770-a4bc-23132c61cd3c + true + Angle + Angle + false + 0 + false + + + + + + 11165 + 11196 + 51 + 20 + + + 11192 + 11206 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 56fecd41-4f7c-4a5a-97fc-ec4c5c48396e + true + Plane + Plane + false + 06379fb2-509d-4321-947c-f2c178e5f5cd + 1 + + + + + + 11165 + 11216 + 51 + 20 + + + 11192 + 11226 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + e4cfb605-76bf-43cf-a3d3-ac904e0f3856 + true + Geometry + Geometry + false + 0 + + + + + + 11246 + 11176 + 53 + 30 + + + 11274 + 11191 + + + + + + + + Transformation data + 00e96f54-aa2b-4be4-8876-42f34a41e026 + true + Transform + Transform + false + 0 + + + + + + 11246 + 11206 + 53 + 30 + + + 11274 + 11221 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 560c22be-246f-444d-ae21-3eae4fdc2c5e + true + Join Curves + Join Curves + + + + + + 11173 + 11111 + 118 + 44 + + + 11236 + 11133 + + + + + + 1 + Curves to join + 4a044e93-4dd1-45dd-b514-5d042aad28b2 + true + Curves + Curves + false + 0c4fa04b-0df7-4c77-bcef-4f44e825b58e + e4cfb605-76bf-43cf-a3d3-ac904e0f3856 + 2 + + + + + + 11175 + 11113 + 46 + 20 + + + 11199.5 + 11123 + + + + + + + + Preserve direction of input curves + 6ea14958-538c-4716-b20b-4c5ee679d14f + true + Preserve + Preserve + false + 0 + + + + + + 11175 + 11133 + 46 + 20 + + + 11199.5 + 11143 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 91cd64d0-1038-4c7c-ab06-37f222bc885a + true + Curves + Curves + false + 0 + + + + + + 11251 + 11113 + 38 + 40 + + + 11271.5 + 11133 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + eaa6e43c-8b92-43bf-b10e-37fcfc2c2fef + 04753d62-726c-4f0a-b953-215fae1965c1 + a16d2583-b304-4455-b1f8-443b2dfd903f + b43e97f9-9efd-409a-9c38-8aca960258ee + 55ea1684-66d4-4e70-bf7e-36f8da5eb144 + 3f6cea5e-c88f-465c-88bc-98d162d76cc7 + 266dea25-3691-42cd-9388-199752211091 + 560c22be-246f-444d-ae21-3eae4fdc2c5e + 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 + ddda4732-6250-4450-a11a-010b13680da0 + a3f6ca53-8639-4a50-8e51-9d73d0818a56 + c86ec8a3-9ea7-4981-9a9d-edda0165242c + 3fe7a6e2-d179-493c-a8f1-8105d057ade7 + 76aa88d4-0024-4f8d-bdda-fa012bf2b40c + 3b353169-95e9-4680-9cf6-3f909e1356e1 + 15 + 07ce4975-8027-48f5-b1dd-799d75f55227 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 37e63a3e-af5a-41ef-8276-fb65806d30ae + true + Panel + + false + 0 + 24a26a0a-2c77-42f7-817b-159896d7f078 + 1 + Double click to edit panel content… + + + + + + 11164 + 13747 + 145 + 20 + + 0 + 0 + 0 + + 11164.75 + 13747.82 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 + true + Curve + Curve + false + 91cd64d0-1038-4c7c-ab06-37f222bc885a + 1 + + + + + + 11213 + 11075 + 50 + 24 + + + 11238.33 + 11087.4 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 + 1 + 4db807a3-68da-4624-885c-4004466b221d + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e8a97c6e-2791-4014-9d84-cc711e836f99 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 11018 + 13955 + 439 + 20 + + 0 + 0 + 0 + + 11018.31 + 13955.91 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + aee43447-61a8-4e59-9956-72dcbac410de + true + Evaluate Length + Evaluate Length + + + + + + 11160 + 10985 + 144 + 64 + + + 11234 + 11017 + + + + + + Curve to evaluate + c35d2e5d-281f-4483-b180-7bb189f7cff3 + true + Curve + Curve + false + 91cd64d0-1038-4c7c-ab06-37f222bc885a + 1 + + + + + + 11162 + 10987 + 57 + 20 + + + 11192 + 10997 + + + + + + + + Length factor for curve evaluation + 16c5614d-fbbf-44f4-8b42-6ce092f8aed7 + true + Length + Length + false + 0 + + + + + + 11162 + 11007 + 57 + 20 + + + 11192 + 11017 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 5d96f440-13d3-468b-8c2a-893764c36e3a + true + Normalized + Normalized + false + 0 + + + + + + 11162 + 11027 + 57 + 20 + + + 11192 + 11037 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 33a6e631-248f-4ae3-9fd3-be1c941ab1fa + true + Point + Point + false + 0 + + + + + + 11249 + 10987 + 53 + 20 + + + 11277 + 10997 + + + + + + + + Tangent vector at the specified length + 1d104ba0-077b-4838-b542-d50f9432e84c + true + Tangent + Tangent + false + 0 + + + + + + 11249 + 11007 + 53 + 20 + + + 11277 + 11017 + + + + + + + + Curve parameter at the specified length + 46d9c2a6-7e9b-49b2-b23b-fe64195fc4de + true + Parameter + Parameter + false + 0 + + + + + + 11249 + 11027 + 53 + 20 + + + 11277 + 11037 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b7b49fbf-17c8-43da-a6df-339d9a9a6557 + true + Expression + Expression + + + + + + 11135 + 10763 + 194 + 28 + + + 11235 + 10777 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + a1a826a3-3fc8-4a16-a628-cb6ead0fa8cf + true + Variable O + O + true + e1dc828c-fa8a-44bf-8a55-7cfe87d33a21 + 1 + + + + + + 11137 + 10765 + 14 + 24 + + + 11145.5 + 10777 + + + + + + + + Result of expression + 1c9a574f-b015-46e7-8efd-f3e721b77bc8 + true + Result + + false + 0 + + + + + + 11318 + 10765 + 9 + 24 + + + 11324 + 10777 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 4a0c4826-3100-4299-a630-853b544f4737 + true + Deconstruct + Deconstruct + + + + + + 11166 + 10897 + 132 + 64 + + + 11213 + 10929 + + + + + + Input point + d40f01bd-c2e6-4a47-9784-66bf3822a8d5 + true + Point + Point + false + 33a6e631-248f-4ae3-9fd3-be1c941ab1fa + 1 + + + + + + 11168 + 10899 + 30 + 60 + + + 11184.5 + 10929 + + + + + + + + Point {x} component + e1dc828c-fa8a-44bf-8a55-7cfe87d33a21 + true + X component + X component + false + 0 + + + + + + 11228 + 10899 + 68 + 20 + + + 11263.5 + 10909 + + + + + + + + Point {y} component + c5576664-3ee6-412c-b7d8-27c89d237814 + true + Y component + Y component + false + 0 + + + + + + 11228 + 10919 + 68 + 20 + + + 11263.5 + 10929 + + + + + + + + Point {z} component + 67160d2e-0586-4e44-a700-e8f407fb5b17 + true + Z component + Z component + false + 0 + + + + + + 11228 + 10939 + 68 + 20 + + + 11263.5 + 10949 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 01016d06-2882-4690-9359-fd036cf1bc89 + true + Panel + + false + 0 + 1c9a574f-b015-46e7-8efd-f3e721b77bc8 + 1 + Double click to edit panel content… + + + + + + 11157 + 10740 + 160 + 20 + + 0 + 0 + 0 + + 11157.1 + 10740.98 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d67a7210-fc04-4817-ba96-8ef643797ca8 + true + Expression + Expression + + + + + + 11135 + 10677 + 194 + 28 + + + 11235 + 10691 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d12fe67b-3e03-49a7-8f85-c4080243f152 + true + Variable O + O + true + c5576664-3ee6-412c-b7d8-27c89d237814 + 1 + + + + + + 11137 + 10679 + 14 + 24 + + + 11145.5 + 10691 + + + + + + + + Result of expression + f6bce4f4-0f8b-4c85-a75f-e2eee9818bc5 + true + Result + + false + 0 + + + + + + 11318 + 10679 + 9 + 24 + + + 11324 + 10691 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 39284689-e8f7-4167-8bbc-9ec3a75d5b77 + true + Panel + + false + 0 + f6bce4f4-0f8b-4c85-a75f-e2eee9818bc5 + 1 + Double click to edit panel content… + + + + + + 11157 + 10652 + 160 + 20 + + 0 + 0 + 0 + + 11157.1 + 10652.55 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 088d3c70-70d6-4b21-9673-93bd3a7b5ae5 + true + Division + Division + + + + + + 11191 + 10575 + 82 + 44 + + + 11222 + 10597 + + + + + + Item to divide (dividend) + 1c67cf6f-c35a-4f7e-bd40-9e30bcad3812 + true + A + A + false + 01016d06-2882-4690-9359-fd036cf1bc89 + 1 + + + + + + 11193 + 10577 + 14 + 20 + + + 11201.5 + 10587 + + + + + + + + Item to divide with (divisor) + 1f7bc369-e232-4f2d-b2ab-2d6ba04563f6 + true + B + B + false + 39284689-e8f7-4167-8bbc-9ec3a75d5b77 + 1 + + + + + + 11193 + 10597 + 14 + 20 + + + 11201.5 + 10607 + + + + + + + + The result of the Division + b2037863-c8f3-481e-aa69-d6a680f5ab5e + true + Result + Result + false + 0 + + + + + + 11237 + 10577 + 34 + 40 + + + 11255.5 + 10597 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f5a8249a-5963-48e9-993b-d937df7e5887 + true + Panel + + false + 0 + 24a26a0a-2c77-42f7-817b-159896d7f078 + 1 + Double click to edit panel content… + + + + + + 11157 + 10505 + 160 + 20 + + 0 + 0 + 0 + + 11157.34 + 10505.04 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + c3e28a5d-c3ae-4a90-9942-c3881598e108 + true + Expression + Expression + + + + + + 11135 + 10528 + 194 + 28 + + + 11235 + 10542 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 764d6eeb-86a3-4de2-b6ad-420891e006ff + true + Variable O + O + true + b2037863-c8f3-481e-aa69-d6a680f5ab5e + 1 + + + + + + 11137 + 10530 + 14 + 24 + + + 11145.5 + 10542 + + + + + + + + Result of expression + 33410658-a95f-4b96-bb5d-261751eac7df + true + Result + + false + 0 + + + + + + 11318 + 10530 + 9 + 24 + + + 11324 + 10542 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 24a26a0a-2c77-42f7-817b-159896d7f078 + true + Relay + + false + 33410658-a95f-4b96-bb5d-261751eac7df + 1 + + + + + + 11212 + 10453 + 40 + 16 + + + 11232 + 10461 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 72662119-790d-4cdb-be73-a81f3a3315d1 + true + Addition + Addition + + + + + + 11191 + 10390 + 82 + 44 + + + 11222 + 10412 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 4df43557-2f41-4567-9c05-9fac833005e5 + true + A + A + true + 39284689-e8f7-4167-8bbc-9ec3a75d5b77 + 1 + + + + + + 11193 + 10392 + 14 + 20 + + + 11201.5 + 10402 + + + + + + + + Second item for addition + b80c1e89-bb68-4318-a097-9f81474664d0 + true + B + B + true + 01016d06-2882-4690-9359-fd036cf1bc89 + 1 + + + + + + 11193 + 10412 + 14 + 20 + + + 11201.5 + 10422 + + + + + + + + Result of addition + ca6d6fa0-53ce-4ab1-a8e5-f46f9d03f3aa + true + Result + Result + false + 0 + + + + + + 11237 + 10392 + 34 + 40 + + + 11255.5 + 10412 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 7f8c120c-673e-4ea2-b61b-045af5897f90 + true + Division + Division + + + + + + 11191 + 10240 + 82 + 44 + + + 11222 + 10262 + + + + + + Item to divide (dividend) + c91a6bc9-f9f5-4ece-bb4d-a82000ac5ecb + true + A + A + false + 2707a334-7398-47dd-a6d7-7e43f545bdd2 + 1 + + + + + + 11193 + 10242 + 14 + 20 + + + 11201.5 + 10252 + + + + + + + + Item to divide with (divisor) + 6def653c-dbbc-42b1-a730-7b5e0abb9b09 + true + B + B + false + 0 + + + + + + 11193 + 10262 + 14 + 20 + + + 11201.5 + 10272 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 3351a659-8c71-4d12-8242-8eda33f88716 + true + Result + Result + false + 0 + + + + + + 11237 + 10242 + 34 + 40 + + + 11255.5 + 10262 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e8a0fc04-4f1d-4ca3-9c5c-3c550e3067c1 + true + Expression + Expression + + + + + + 11135 + 10192 + 194 + 28 + + + 11235 + 10206 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d6ec4727-0887-43cb-a6b3-11c5668a88a7 + true + Variable O + O + true + 3351a659-8c71-4d12-8242-8eda33f88716 + 1 + + + + + + 11137 + 10194 + 14 + 24 + + + 11145.5 + 10206 + + + + + + + + Result of expression + 05440660-bccc-4d90-b72d-63743fff90b3 + true + Result + + false + 0 + + + + + + 11318 + 10194 + 9 + 24 + + + 11324 + 10206 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 27be3162-4c6a-4a59-a453-7ca65d602b63 + true + Panel + + false + 0 + 05440660-bccc-4d90-b72d-63743fff90b3 + 1 + Double click to edit panel content… + + + + + + 11157 + 10168 + 160 + 20 + + 0 + 0 + 0 + + 11157.1 + 10168.9 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2707a334-7398-47dd-a6d7-7e43f545bdd2 + true + Panel + + false + 0 + 983c8c79-db3b-4bce-aa0c-7bfa4719504d + 1 + Double click to edit panel content… + + + + + + 11157 + 10320 + 160 + 20 + + 0 + 0 + 0 + + 11157.1 + 10320.81 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9a38140c-37fa-42cf-af9f-b387bb97fcbf + true + Expression + Expression + + + + + + 11135 + 10343 + 194 + 28 + + + 11235 + 10357 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 1bc04c67-160a-4f54-83bb-00ef75db4ae8 + true + Variable O + O + true + ca6d6fa0-53ce-4ab1-a8e5-f46f9d03f3aa + 1 + + + + + + 11137 + 10345 + 14 + 24 + + + 11145.5 + 10357 + + + + + + + + Result of expression + 983c8c79-db3b-4bce-aa0c-7bfa4719504d + true + Result + + false + 0 + + + + + + 11318 + 10345 + 9 + 24 + + + 11324 + 10357 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 8a747494-7e8b-40ea-bb93-fcb27e7ad93e + true + Scale + Scale + + + + + + 11155 + 10069 + 154 + 64 + + + 11239 + 10101 + + + + + + Base geometry + c670eb69-ecd3-45fc-98c6-8d9581221c4c + true + Geometry + Geometry + true + 3f5f29a7-3853-47be-bf24-5c7c84e0abc1 + 1 + + + + + + 11157 + 10071 + 67 + 20 + + + 11200 + 10081 + + + + + + + + Center of scaling + 0aa22b2b-f64f-4cad-a4ca-4cbb9755b5b9 + true + Center + Center + false + 0 + + + + + + 11157 + 10091 + 67 + 20 + + + 11200 + 10101 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 08b506dc-e2bb-4000-af9d-a205a7e704dc + 1/X + true + Factor + Factor + false + 27be3162-4c6a-4a59-a453-7ca65d602b63 + 1 + + + + + + 11157 + 10111 + 67 + 20 + + + 11200 + 10121 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + bde6c6ca-f117-4aa0-86ee-01922fc09cab + true + Geometry + Geometry + false + 0 + + + + + + 11254 + 10071 + 53 + 30 + + + 11282 + 10086 + + + + + + + + Transformation data + 4e1bd863-6204-495a-b4df-7c47c5e55b8d + true + Transform + Transform + false + 0 + + + + + + 11254 + 10101 + 53 + 30 + + + 11282 + 10116 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + true + Curve + Curve + false + bde6c6ca-f117-4aa0-86ee-01922fc09cab + 1 + + + + + + 11211 + 9474 + 50 + 24 + + + 11236.08 + 9486.403 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 00279feb-16c9-400b-98c3-c230f7c5baf1 + true + Expression + Expression + + + + + + 11135 + 10850 + 194 + 28 + + + 11235 + 10864 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + ce13476f-3ca3-4106-8fda-b9b5ee254933 + true + Variable O + O + true + 67160d2e-0586-4e44-a700-e8f407fb5b17 + 1 + + + + + + 11137 + 10852 + 14 + 24 + + + 11145.5 + 10864 + + + + + + + + Result of expression + 64c0dee1-edab-4cb8-b6f0-8530d517f81e + true + Result + + false + 0 + + + + + + 11318 + 10852 + 9 + 24 + + + 11324 + 10864 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b1d42c60-3f0c-4e7a-a12d-46dda6710889 + true + Panel + + false + 0 + 64c0dee1-edab-4cb8-b6f0-8530d517f81e + 1 + Double click to edit panel content… + + + + + + 11157 + 10826 + 160 + 20 + + 0 + 0 + 0 + + 11157.97 + 10826.75 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 6bd6aad8-5fb1-494e-b1b2-7a5af0b6be06 + true + Evaluate Length + Evaluate Length + + + + + + 11160 + 9859 + 144 + 64 + + + 11234 + 9891 + + + + + + Curve to evaluate + bb01f94d-f08c-4a1a-8f03-ec466ee8b2ff + true + Curve + Curve + false + bde6c6ca-f117-4aa0-86ee-01922fc09cab + 1 + + + + + + 11162 + 9861 + 57 + 20 + + + 11192 + 9871 + + + + + + + + Length factor for curve evaluation + 5906be9d-af5e-460f-8a3a-646c9db971b5 + true + Length + Length + false + 0 + + + + + + 11162 + 9881 + 57 + 20 + + + 11192 + 9891 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 94e159f2-b91f-45d7-a8a5-d6b136561de6 + true + Normalized + Normalized + false + 0 + + + + + + 11162 + 9901 + 57 + 20 + + + 11192 + 9911 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 4f64a082-0009-4f24-bd34-b5c9d81c162f + true + Point + Point + false + 0 + + + + + + 11249 + 9861 + 53 + 20 + + + 11277 + 9871 + + + + + + + + Tangent vector at the specified length + 98facd6e-0709-4eaf-a864-2ad12cc18e0f + true + Tangent + Tangent + false + 0 + + + + + + 11249 + 9881 + 53 + 20 + + + 11277 + 9891 + + + + + + + + Curve parameter at the specified length + 2f812334-cc74-4150-96e5-ce9a4af0b77a + true + Parameter + Parameter + false + 0 + + + + + + 11249 + 9901 + 53 + 20 + + + 11277 + 9911 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d851c0fc-b58d-4fc4-8f66-48db18d0524d + true + Expression + Expression + + + + + + 11135 + 9642 + 194 + 28 + + + 11235 + 9656 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + da8626a7-289a-4216-89b5-9cd4faeafdb2 + true + Variable O + O + true + f106ca36-4958-4730-9c3a-16d27a9e6ba2 + 1 + + + + + + 11137 + 9644 + 14 + 24 + + + 11145.5 + 9656 + + + + + + + + Result of expression + fde286bf-8706-4604-a243-711945aa0e03 + true + Result + + false + 0 + + + + + + 11318 + 9644 + 9 + 24 + + + 11324 + 9656 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + f9a0ebd0-236d-434b-baa1-c89d9887e509 + true + Deconstruct + Deconstruct + + + + + + 11166 + 9776 + 132 + 64 + + + 11213 + 9808 + + + + + + Input point + 14c7c4b5-498b-477b-b796-8a1810c846cd + true + Point + Point + false + 4f64a082-0009-4f24-bd34-b5c9d81c162f + 1 + + + + + + 11168 + 9778 + 30 + 60 + + + 11184.5 + 9808 + + + + + + + + Point {x} component + f106ca36-4958-4730-9c3a-16d27a9e6ba2 + true + X component + X component + false + 0 + + + + + + 11228 + 9778 + 68 + 20 + + + 11263.5 + 9788 + + + + + + + + Point {y} component + da117ace-1e49-4c90-912c-13c434ae0abe + true + Y component + Y component + false + 0 + + + + + + 11228 + 9798 + 68 + 20 + + + 11263.5 + 9808 + + + + + + + + Point {z} component + a8f56cd0-3e3d-441c-91f7-9ba4841af9f6 + true + Z component + Z component + false + 0 + + + + + + 11228 + 9818 + 68 + 20 + + + 11263.5 + 9828 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bffd1539-4139-4b0c-b604-e7f7d7a49e27 + true + Panel + + false + 0 + fde286bf-8706-4604-a243-711945aa0e03 + 1 + Double click to edit panel content… + + + + + + 11157 + 9614 + 160 + 20 + + 0 + 0 + 0 + + 11157.35 + 9614.323 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 78c6c476-3e5a-43d9-942a-e32a1bd8341c + true + Expression + Expression + + + + + + 11135 + 9556 + 194 + 28 + + + 11235 + 9570 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2ceccfe2-a118-4c78-ae08-7587d94200c7 + true + Variable O + O + true + da117ace-1e49-4c90-912c-13c434ae0abe + 1 + + + + + + 11137 + 9558 + 14 + 24 + + + 11145.5 + 9570 + + + + + + + + Result of expression + eee693b7-b735-48c0-b65d-155f23d220c2 + true + Result + + false + 0 + + + + + + 11318 + 9558 + 9 + 24 + + + 11324 + 9570 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 63da5a14-14d8-4b3a-bca3-90f33f5a6d2d + true + Panel + + false + 0 + eee693b7-b735-48c0-b65d-155f23d220c2 + 1 + Double click to edit panel content… + + + + + + 11157 + 9528 + 160 + 20 + + 0 + 0 + 0 + + 11157.36 + 9528.694 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0657fa7f-36d6-4ded-87c9-fa3214ed6a40 + true + Expression + Expression + + + + + + 11135 + 9728 + 194 + 28 + + + 11235 + 9742 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 26bcbf9a-efce-4209-a257-fefa3fd2854f + true + Variable O + O + true + a8f56cd0-3e3d-441c-91f7-9ba4841af9f6 + 1 + + + + + + 11137 + 9730 + 14 + 24 + + + 11145.5 + 9742 + + + + + + + + Result of expression + 02c03f94-be99-4a2e-93ba-14cbb61fd077 + true + Result + + false + 0 + + + + + + 11318 + 9730 + 9 + 24 + + + 11324 + 9742 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b3400eb7-f424-4126-93fb-7a46f60c09de + true + Panel + + false + 0 + 02c03f94-be99-4a2e-93ba-14cbb61fd077 + 1 + Double click to edit panel content… + + + + + + 11157 + 9700 + 160 + 20 + + 0 + 0 + 0 + + 11157.1 + 9700.534 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3f37173e-5d6c-40dd-8cc1-b846e92fd738 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 11055 + 14034 + 379 + 104 + + 0 + 0 + 0 + + 11055.75 + 14034.98 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7a47c011-cbf4-4047-8c80-c1178ae035ab + true + Panel + + false + 0 + 3fe1f684-3608-4a00-9ad9-228cad6ae6e1 + 1 + Double click to edit panel content… + + + + + + 11069 + 12064 + 337 + 276 + + 0 + 0 + 0 + + 11069.29 + 12064.32 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3ef9ab54-9776-4aed-aee8-f1a09b0b6701 + true + Expression + Expression + + + + + + 11135 + 12350 + 194 + 28 + + + 11235 + 12364 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f21a93cf-46b1-40df-9b70-8b7983777a6d + true + Variable O + O + true + 6675e784-7e56-4b18-8b5b-3311ab42d31a + 1 + + + + + + 11137 + 12352 + 14 + 24 + + + 11145.5 + 12364 + + + + + + + + Result of expression + 3fe1f684-3608-4a00-9ad9-228cad6ae6e1 + true + Result + + false + 0 + + + + + + 11318 + 12352 + 9 + 24 + + + 11324 + 12364 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 3b1f7922-4b7e-4166-983c-75cb3eb8a170 + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 11221 + 14464 + 50 + 24 + + + 11246.06 + 14476.62 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + d8844e6a-8ed6-47e6-b71d-3e8759974784 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 11063 + 12632 + 160 + 224 + + + 11131 + 12744 + + + + + + 1 + One or multiple graph curves to graph map values with + 594a3d94-9c3f-4828-94f3-c45c92d2fe0e + true + Curves + Curves + false + 91ecf790-e5af-4621-84ca-f762605af1ce + 1 + + + + + + 11065 + 12634 + 51 + 27 + + + 11092 + 12647.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 9f285f6d-85f4-4825-9e01-d0e658bd1c59 + true + Rectangle + Rectangle + false + a8323a2c-df86-4083-9419-bcdaeb198fd3 + 1 + + + + + + 11065 + 12661 + 51 + 28 + + + 11092 + 12675.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 3acbd6c4-0a53-4468-b1b3-9c4e050d18c9 + true + Values + Values + false + 3922bdee-0233-40b3-8d10-a0a0cd81b6ab + 1 + + + + + + 11065 + 12689 + 51 + 27 + + + 11092 + 12702.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 85853436-f2e0-4bc8-a888-56730895f082 + true + X Axis + X Axis + true + 0 + + + + + + 11065 + 12716 + 51 + 28 + + + 11092 + 12730.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 30dc4398-e211-48f2-9a14-2baa5dbbbe43 + true + Y Axis + Y Axis + true + 0 + + + + + + 11065 + 12744 + 51 + 27 + + + 11092 + 12757.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 3a04d29f-a474-416d-89c3-7137f1a55f0d + true + Flip + Flip + false + 0 + + + + + + 11065 + 12771 + 51 + 28 + + + 11092 + 12785.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 6560210d-563b-4bec-af0f-8bfbd836c8ff + true + Snap + Snap + false + 0 + + + + + + 11065 + 12799 + 51 + 27 + + + 11092 + 12812.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + 1c9d39d6-114a-4ba7-a756-90dcaf846baf + true + Text Size + Text Size + false + 0 + + + + + + 11065 + 12826 + 51 + 28 + + + 11092 + 12840.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 6a6c4b64-fb64-4f13-ace9-26e9ca1761c7 + true + Mapped + Mapped + false + 0 + + + + + + 11146 + 12634 + 75 + 20 + + + 11185 + 12644 + + + + + + + + 1 + The graph curves inside the boundary of the graph + a77e1434-5d83-43ab-945d-0088d9c945b7 + true + Graph Curves + Graph Curves + false + 0 + + + + + + 11146 + 12654 + 75 + 20 + + + 11185 + 12664 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 7646b16f-118b-4451-b12d-537d0100347d + true + Graph Points + Graph Points + false + 0 + + + + + + 11146 + 12674 + 75 + 20 + + + 11185 + 12684 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + f12c9b76-e686-490e-8e11-9537a6b01183 + true + Value Lines + Value Lines + false + 0 + + + + + + 11146 + 12694 + 75 + 20 + + + 11185 + 12704 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + 6f82499e-7996-40da-9994-5a725cb8acc7 + true + Value Points + Value Points + false + 0 + + + + + + 11146 + 12714 + 75 + 20 + + + 11185 + 12724 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 2e5e80c5-c3cf-4efe-950d-267f90dc6551 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 11146 + 12734 + 75 + 20 + + + 11185 + 12744 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 605a2c4b-c803-4cbd-8406-cd66665b2d7b + true + Mapped Points + Mapped Points + false + 0 + + + + + + 11146 + 12754 + 75 + 20 + + + 11185 + 12764 + + + + + + + + The graph boundary background as a surface + 85be56bb-8057-4d1e-94e3-1528d297d7ae + true + Boundary + Boundary + false + 0 + + + + + + 11146 + 12774 + 75 + 20 + + + 11185 + 12784 + + + + + + + + 1 + The graph labels as curve outlines + a28729d7-bdcb-42ca-bd78-e84d803c8d9c + true + Labels + Labels + false + 0 + + + + + + 11146 + 12794 + 75 + 20 + + + 11185 + 12804 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 83cb36aa-18bf-4f88-9c0b-3451d82e6340 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 11146 + 12814 + 75 + 20 + + + 11185 + 12824 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 7dadbf14-b025-4e90-9928-ee6e52c27a33 + true + Intersected + Intersected + false + 0 + + + + + + 11146 + 12834 + 75 + 20 + + + 11185 + 12844 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 2466d393-59b0-44a7-9bd6-a60e3db2a1c6 + true + End Points + End Points + + + + + + 11184 + 13057 + 96 + 44 + + + 11234 + 13079 + + + + + + Curve to evaluate + 62a6df5f-6c94-407e-9d19-74ca749acfaa + true + Curve + Curve + false + 91ecf790-e5af-4621-84ca-f762605af1ce + 1 + + + + + + 11186 + 13059 + 33 + 40 + + + 11204 + 13079 + + + + + + + + Curve start point + 86829735-b9f7-441a-b677-7ce0f5e64083 + true + Start + Start + false + 0 + + + + + + 11249 + 13059 + 29 + 20 + + + 11265 + 13069 + + + + + + + + Curve end point + 14acbc38-5dfa-4199-90f8-48d6adad767f + true + End + End + false + 0 + + + + + + 11249 + 13079 + 29 + 20 + + + 11265 + 13089 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + dcf57667-d488-4173-a38b-e201d6714472 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 11169 + 12955 + 126 + 84 + + + 11227 + 12997 + + + + + + Rectangle base plane + 641c5136-db4e-4577-bf79-2d440c526737 + true + Plane + Plane + false + 0 + + + + + + 11171 + 12957 + 41 + 20 + + + 11193 + 12967 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 1686037d-2630-43b5-9b9a-bad0c5d53286 + true + Point A + Point A + false + 86829735-b9f7-441a-b677-7ce0f5e64083 + 1 + + + + + + 11171 + 12977 + 41 + 20 + + + 11193 + 12987 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 984b8f08-218e-477d-bca6-819fc6263df1 + true + Point B + Point B + false + 14acbc38-5dfa-4199-90f8-48d6adad767f + 1 + + + + + + 11171 + 12997 + 41 + 20 + + + 11193 + 13007 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 30977456-c0d3-48cd-af14-5c1d26eef1fe + true + Radius + Radius + false + 0 + + + + + + 11171 + 13017 + 41 + 20 + + + 11193 + 13027 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + a8323a2c-df86-4083-9419-bcdaeb198fd3 + true + Rectangle + Rectangle + false + 0 + + + + + + 11242 + 12957 + 51 + 40 + + + 11269 + 12977 + + + + + + + + Length of rectangle curve + f48795e3-88e8-4352-9d49-2facf13e1cfe + true + Length + Length + false + 0 + + + + + + 11242 + 12997 + 51 + 40 + + + 11269 + 13017 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + a9982cc5-6f10-4b54-adef-fa826b701d03 + true + GraphMapper+ + GraphMapper+ + + + + + false + + + + + + 11223 + 12752 + 126 + 104 + + + 11290 + 12804 + + + + + + External curve as a graph + 50e85bbf-676e-48a4-9a9a-d53cc380e00a + true + Curve + Curve + false + 91ecf790-e5af-4621-84ca-f762605af1ce + 1 + + + + + + 11225 + 12754 + 50 + 20 + + + 11251.5 + 12764 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 5737f0e2-5420-43e9-b6c7-3fe5026ecb53 + true + Boundary + Boundary + true + a8323a2c-df86-4083-9419-bcdaeb198fd3 + 1 + + + + + + 11225 + 12774 + 50 + 20 + + + 11251.5 + 12784 + + + + + + + + 1 + List of input numbers + 5bb2da3b-945b-43d0-af45-3683558c7efd + true + Numbers + Numbers + false + 3922bdee-0233-40b3-8d10-a0a0cd81b6ab + 1 + + + + + + 11225 + 12794 + 50 + 20 + + + 11251.5 + 12804 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + b3621b92-ab0c-4520-8389-953f3e1ec57e + true + Input + Input + true + b2d86554-6d5a-40df-857d-3f276a1490bf + 1 + + + + + + 11225 + 12814 + 50 + 20 + + + 11251.5 + 12824 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + eb442e49-83e9-433c-9d67-e64a42d7c042 + true + Output + Output + true + b2d86554-6d5a-40df-857d-3f276a1490bf + 1 + + + + + + 11225 + 12834 + 50 + 20 + + + 11251.5 + 12844 + + + + + + + + 1 + Output Numbers + e73e1c89-3f0e-43b8-86ce-363f41a082a8 + true + Number + Number + false + 0 + + + + + + 11305 + 12754 + 42 + 100 + + + 11327.5 + 12804 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 58091a26-9398-4dc8-a07a-187aacb3aeba + true + Stream Filter + Stream Filter + + + + + + 11198 + 12549 + 89 + 64 + + + 11243 + 12581 + + + + + + 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 + 369fde68-9e9c-494e-97ad-4bf8558e4988 + true + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 11200 + 12551 + 28 + 20 + + + 11215.5 + 12561 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 148162ca-d89d-481a-a160-e7b6395f1ad8 + true + false + Stream 0 + 0 + true + 6a6c4b64-fb64-4f13-ace9-26e9ca1761c7 + 1 + + + + + + 11200 + 12571 + 28 + 20 + + + 11215.5 + 12581 + + + + + + + + 2 + Input stream at index 1 + 0b44b77d-d4c7-4a8e-91de-79f26e856dee + true + false + Stream 1 + 1 + true + e73e1c89-3f0e-43b8-86ce-363f41a082a8 + 1 + + + + + + 11200 + 12591 + 28 + 20 + + + 11215.5 + 12601 + + + + + + + + 2 + Filtered stream + 2051c393-183d-424b-8496-cd6a361d114b + true + false + Stream + S(1) + false + 0 + + + + + + 11258 + 12551 + 27 + 60 + + + 11273 + 12581 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 1dbe9a75-22aa-4f51-84fc-b8e986d66b5e + true + Number Slider + + false + 0 + + + + + + 11167 + 12475 + 150 + 20 + + + 11167.72 + 12475.92 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7516f2d4-2a9b-4fdd-a932-aa5a77b81a08 + true + Panel + + false + 1 + 2f490743-335b-4afb-999b-648b0c0321dc + 1 + Double click to edit panel content… + + + + + + 11147 + 13251 + 185 + 271 + + 0 + 0 + 0 + + 11147.79 + 13251.18 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 3b6e3bdb-033f-4638-95fc-9a56faba2fdb + true + Bounds + Bounds + + + + + + 11173 + 13196 + 122 + 28 + + + 11237 + 13210 + + + + + + 1 + Numbers to include in Bounds + 243dc841-6ca9-4c58-8b3b-9c8767758f1d + true + Numbers + Numbers + false + 3922bdee-0233-40b3-8d10-a0a0cd81b6ab + 1 + + + + + + 11175 + 13198 + 47 + 24 + + + 11200 + 13210 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + b2d86554-6d5a-40df-857d-3f276a1490bf + true + Domain + Domain + false + 0 + + + + + + 11252 + 13198 + 41 + 24 + + + 11274 + 13210 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 618ef6f7-de00-4431-89c5-1f39302e094c + true + Expression + Expression + + + + + + 11135 + 13610 + 194 + 28 + + + 11235 + 13624 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + fef473bd-3a59-452a-9eea-7e15005a33e8 + true + Variable O + O + true + 3922bdee-0233-40b3-8d10-a0a0cd81b6ab + 1 + + + + + + 11137 + 13612 + 14 + 24 + + + 11145.5 + 13624 + + + + + + + + Result of expression + 2f490743-335b-4afb-999b-648b0c0321dc + true + Result + + false + 0 + + + + + + 11318 + 13612 + 9 + 24 + + + 11324 + 13624 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + c110440b-e321-42a9-9db8-78497fbde38f + true + Expression + Expression + + + + + + 11049 + 13824 + 367 + 28 + + + 11235 + 13838 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + b2ee4e28-1066-473d-b0cc-a44fe277fe0b + true + Variable O + O + true + 6ab8d1eb-c048-4e31-be0c-e13b590101c4 + 1 + + + + + + 11051 + 13826 + 14 + 24 + + + 11059.5 + 13838 + + + + + + + + Result of expression + 6020af58-303f-436b-9517-098b1b794d32 + true + Result + + false + 0 + + + + + + 11405 + 13826 + 9 + 24 + + + 11411 + 13838 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 756d2d51-d7f6-4402-9d75-aad4ee697736 + true + Panel + + false + 0 + 6020af58-303f-436b-9517-098b1b794d32 + 1 + Double click to edit panel content… + + + + + + 11147 + 13788 + 179 + 20 + + 0 + 0 + 0 + + 11147.93 + 13788.04 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 1 + 5cc374f6-23ee-40c4-a583-270d25678efb + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + e44c5a2a-fb8d-4dcb-9a13-a9154875d3d5 + true + Scale + Scale + + + + + + 11155 + 9984 + 154 + 64 + + + 11239 + 10016 + + + + + + Base geometry + 40b6450c-315b-4af4-9848-f7d69edf18ec + true + Geometry + Geometry + true + c86ec8a3-9ea7-4981-9a9d-edda0165242c + 1 + + + + + + 11157 + 9986 + 67 + 20 + + + 11200 + 9996 + + + + + + + + Center of scaling + a6f4935b-75b0-449e-b343-ebf42df66b70 + true + Center + Center + false + 0 + + + + + + 11157 + 10006 + 67 + 20 + + + 11200 + 10016 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 4c896568-056a-413f-a0ca-7dd922440b37 + 1/X + true + Factor + Factor + false + 27be3162-4c6a-4a59-a453-7ca65d602b63 + 1 + + + + + + 11157 + 10026 + 67 + 20 + + + 11200 + 10036 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + d2804b4c-8099-4f0a-bfcb-694baa75298b + true + Geometry + Geometry + false + 0 + + + + + + 11254 + 9986 + 53 + 30 + + + 11282 + 10001 + + + + + + + + Transformation data + b06e23ab-8251-4f31-9933-dda5fbcf733c + true + Transform + Transform + false + 0 + + + + + + 11254 + 10016 + 53 + 30 + + + 11282 + 10031 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 8226fdbd-9d16-4960-baba-a79b21bec7dc + true + Point + Point + false + d2804b4c-8099-4f0a-bfcb-694baa75298b + 1 + + + + + + 11212 + 9952 + 50 + 24 + + + 11237.08 + 9964.573 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 34b91d1e-2f87-484a-b784-0cc6d1cd5f34 + true + Mirror + Mirror + + + + + + 11177 + 9344 + 138 + 44 + + + 11245 + 9366 + + + + + + Base geometry + 6361b086-f0a2-44e3-ae0d-669ebfe0344c + true + Geometry + Geometry + true + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 1 + + + + + + 11179 + 9346 + 51 + 20 + + + 11206 + 9356 + + + + + + + + Mirror plane + 0abf6ae3-65a8-469f-b08e-71ee93c1b223 + true + Plane + Plane + false + 0 + + + + + + 11179 + 9366 + 51 + 20 + + + 11206 + 9376 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 1720ec46-d40f-49d2-b2d0-e9948b8880a3 + true + Geometry + Geometry + false + 0 + + + + + + 11260 + 9346 + 53 + 20 + + + 11288 + 9356 + + + + + + + + Transformation data + 2fa45dd1-070c-45af-94bb-e3085f4f0cfa + true + Transform + Transform + false + 0 + + + + + + 11260 + 9366 + 53 + 20 + + + 11288 + 9376 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 1cc4ce65-802a-413c-851c-f786e9032630 + true + Curve + Curve + false + d62d3b97-2fc7-4a53-a83a-8db1af4b9e8d + 1 + + + + + + 11219 + 9244 + 50 + 24 + + + 11244.33 + 9256.583 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 91ecf790-e5af-4621-84ca-f762605af1ce + true + Relay + + false + 425e96e2-ca93-43ee-a9a8-cc741d2dde79 + 1 + + + + + + 11214 + 13124 + 40 + 16 + + + 11234 + 13132 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 4f6f562e-844a-4785-9b00-f3cc00756cdd + true + Curve + Curve + false + 5b6b9538-a868-4c4e-b7d8-a06492da7f4e + 1 + + + + + + 10781 + 13520 + 50 + 24 + + + 10806.83 + 13532.04 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 425e96e2-ca93-43ee-a9a8-cc741d2dde79 + true + Curve + Curve + false + 633601d5-81c8-4baf-a58a-77af1e1adaa1 + 1 + + + + + + 10780 + 13230 + 50 + 24 + + + 10805.92 + 13242.19 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 282cf104-8889-4a14-87b7-ede9957d162a + true + Scale + Scale + + + + + + 10724 + 13263 + 154 + 64 + + + 10808 + 13295 + + + + + + Base geometry + 4e675e34-e7be-4e03-b50d-c3c476248f6b + true + Geometry + Geometry + true + 4f6f562e-844a-4785-9b00-f3cc00756cdd + 1 + + + + + + 10726 + 13265 + 67 + 20 + + + 10769 + 13275 + + + + + + + + Center of scaling + 98d0e8e5-684a-4ad8-aaa2-73753b9cc0f9 + true + Center + Center + false + 0 + + + + + + 10726 + 13285 + 67 + 20 + + + 10769 + 13295 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 06dcca81-9e58-4598-985e-40e19f83f4be + 2^X + true + Factor + Factor + false + b8c8100f-cc98-44a5-ae31-2a5e6a66bb38 + 1 + + + + + + 10726 + 13305 + 67 + 20 + + + 10769 + 13315 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 633601d5-81c8-4baf-a58a-77af1e1adaa1 + true + Geometry + Geometry + false + 0 + + + + + + 10823 + 13265 + 53 + 30 + + + 10851 + 13280 + + + + + + + + Transformation data + 02e13c36-fe6f-446c-b187-8768b7406d68 + true + Transform + Transform + false + 0 + + + + + + 10823 + 13295 + 53 + 30 + + + 10851 + 13310 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 4f6f562e-844a-4785-9b00-f3cc00756cdd + 425e96e2-ca93-43ee-a9a8-cc741d2dde79 + 282cf104-8889-4a14-87b7-ede9957d162a + 27899f96-8899-44d3-a06c-50d23c4c5623 + 58050946-3b21-407b-95ec-906607ba8bb3 + f943ece7-8ce1-493e-97db-5983ea7ca29d + 3dcb2716-431d-4ad1-9502-00ff2db80844 + 59f1d794-a56f-4acf-8b88-3085592a69d6 + b8c8100f-cc98-44a5-ae31-2a5e6a66bb38 + f5c15749-9790-4708-adc4-cdf138ed172a + ddd3b180-869b-42de-8270-aaf94b69d469 + 11 + 3375a47c-b3cf-4534-99d0-3f03f44bc06d + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + bb3d5a6c-0b9d-4f22-8e71-bc35406b7647 + true + Move + Move + + + + + + 11177 + 9280 + 138 + 44 + + + 11245 + 9302 + + + + + + Base geometry + f599dd4a-c11a-402a-a621-5929cd9c8cfc + true + Geometry + Geometry + true + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 1 + + + + + + 11179 + 9282 + 51 + 20 + + + 11206 + 9292 + + + + + + + + Translation vector + 61fd2d7f-8e08-4d04-bc84-bbaf3b1fccb9 + true + Motion + Motion + false + 0 + + + + + + 11179 + 9302 + 51 + 20 + + + 11206 + 9312 + + + + + + 1 + + + + + 1 + {0} + + + + + + 12.5 + 0 + 0 + + + + + + + + + + + + Translated geometry + d62d3b97-2fc7-4a53-a83a-8db1af4b9e8d + true + Geometry + Geometry + false + 0 + + + + + + 11260 + 9282 + 53 + 20 + + + 11288 + 9292 + + + + + + + + Transformation data + 5125cc7f-7c94-475a-a96e-d8b3229bc094 + true + Transform + Transform + false + 0 + + + + + + 11260 + 9302 + 53 + 20 + + + 11288 + 9312 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 58050946-3b21-407b-95ec-906607ba8bb3 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 10678 + 13476 + 250 + 20 + + + 10678.65 + 13476.42 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f943ece7-8ce1-493e-97db-5983ea7ca29d + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 10738 + 13354 + 144 + 20 + + 0 + 0 + 0 + + 10738.39 + 13354.9 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 3dcb2716-431d-4ad1-9502-00ff2db80844 + true + Curve + Curve + false + 0 + + + + + + 10780 + 13187 + 50 + 24 + + + 10805.92 + 13199.19 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 59f1d794-a56f-4acf-8b88-3085592a69d6 + true + Curve + Curve + false + 0 + + + + + + 10784 + 13657 + 50 + 24 + + + 10809.42 + 13669.14 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 20d897f9-fb0e-4248-9473-759dae7f3985 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 11018 + 13998 + 439 + 20 + + 0 + 0 + 0 + + 11018.31 + 13998.51 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 4dd39426-4757-4d5a-9089-0bf8a32981e1 + true + End Points + End Points + + + + + + 11602 + 9975 + 96 + 44 + + + 11652 + 9997 + + + + + + Curve to evaluate + 33da532d-d945-4028-94bd-f87d9fb2fcbb + true + Curve + Curve + false + 0a11e65e-d83c-4f16-a8d6-0e449e303149 + 1 + + + + + + 11604 + 9977 + 33 + 40 + + + 11622 + 9997 + + + + + + + + Curve start point + a22bc393-c2be-48ba-a6ee-44cdb68d4f0c + true + Start + Start + false + 0 + + + + + + 11667 + 9977 + 29 + 20 + + + 11683 + 9987 + + + + + + + + Curve end point + 3979feb6-f9a4-4284-ac14-1d0be9680eda + true + End + End + false + 0 + + + + + + 11667 + 9997 + 29 + 20 + + + 11683 + 10007 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 0c51e735-7128-43bd-a415-e5cf097cbe5f + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 11587 + 9872 + 126 + 84 + + + 11645 + 9914 + + + + + + Rectangle base plane + 6a03ab59-c267-471c-894c-9bfac48b75fd + true + Plane + Plane + false + 0 + + + + + + 11589 + 9874 + 41 + 20 + + + 11611 + 9884 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + a9dbd128-4ed8-4b42-9e57-f97f15e054a1 + true + Point A + Point A + false + a22bc393-c2be-48ba-a6ee-44cdb68d4f0c + 1 + + + + + + 11589 + 9894 + 41 + 20 + + + 11611 + 9904 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 70e24acb-f96b-4837-b783-5f24edf22606 + true + Point B + Point B + false + 3979feb6-f9a4-4284-ac14-1d0be9680eda + 1 + + + + + + 11589 + 9914 + 41 + 20 + + + 11611 + 9924 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + bd9c22ee-43d8-46e3-82b6-2faa29915760 + true + Radius + Radius + false + 0 + + + + + + 11589 + 9934 + 41 + 20 + + + 11611 + 9944 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 6f273c1d-6e69-46b2-a6ab-de1c7535e6d1 + true + Rectangle + Rectangle + false + 0 + + + + + + 11660 + 9874 + 51 + 40 + + + 11687 + 9894 + + + + + + + + Length of rectangle curve + 3542c96f-3953-42de-b25a-2516636db1e2 + true + Length + Length + false + 0 + + + + + + 11660 + 9914 + 51 + 40 + + + 11687 + 9934 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + a066dc91-c5e2-4469-9d2e-78cc2ca94a15 + true + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 11579 + 9789 + 142 + 64 + + + 11647 + 9821 + + + + + + Rectangle to deconstruct + 50db75e4-2e34-4b7a-8f90-e4f787d42c7c + true + Rectangle + Rectangle + false + 6f273c1d-6e69-46b2-a6ab-de1c7535e6d1 + 1 + + + + + + 11581 + 9791 + 51 + 60 + + + 11608 + 9821 + + + + + + + + Base plane of rectangle + ab8df742-32a5-4270-a8dc-56b720357a38 + true + Base Plane + Base Plane + false + 0 + + + + + + 11662 + 9791 + 57 + 20 + + + 11692 + 9801 + + + + + + + + Size interval along base plane X axis + 1972b165-875a-49f9-a943-315f9b675010 + true + X Interval + X Interval + false + 0 + + + + + + 11662 + 9811 + 57 + 20 + + + 11692 + 9821 + + + + + + + + Size interval along base plane Y axis + 04548058-0b6c-42ec-b1a5-bb76ebd79c4c + true + Y Interval + Y Interval + false + 0 + + + + + + 11662 + 9831 + 57 + 20 + + + 11692 + 9841 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + d9bf0b46-bd1c-4601-802b-4bbb035268c6 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 11598 + 9662 + 104 + 44 + + + 11656 + 9684 + + + + + + Base domain + 930cfef6-afa7-4e23-82de-1554262c673e + true + Domain + Domain + false + 04548058-0b6c-42ec-b1a5-bb76ebd79c4c + 1 + + + + + + 11600 + 9664 + 41 + 40 + + + 11622 + 9684 + + + + + + + + Start of domain + 64bf01a2-6676-4b68-a901-fa8507e049ff + true + Start + Start + false + 0 + + + + + + 11671 + 9664 + 29 + 20 + + + 11687 + 9674 + + + + + + + + End of domain + bfb0a1f8-5ba6-4a76-abac-b03ed99f2d4d + true + End + End + false + 0 + + + + + + 11671 + 9684 + 29 + 20 + + + 11687 + 9694 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 3cf69b06-b52f-4502-82f2-4e60b42f8cc3 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 11598 + 9724 + 104 + 44 + + + 11656 + 9746 + + + + + + Base domain + 08045bf9-a622-4109-a2bb-a80fa8f97446 + true + Domain + Domain + false + 1972b165-875a-49f9-a943-315f9b675010 + 1 + + + + + + 11600 + 9726 + 41 + 40 + + + 11622 + 9746 + + + + + + + + Start of domain + dcc4500e-e314-4e30-a3ab-f9237223f920 + true + Start + Start + false + 0 + + + + + + 11671 + 9726 + 29 + 20 + + + 11687 + 9736 + + + + + + + + End of domain + d9fe0984-3aeb-476c-8612-cde1dca8df55 + true + End + End + false + 0 + + + + + + 11671 + 9746 + 29 + 20 + + + 11687 + 9756 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + 9f169e54-507b-4163-abda-cef3e216b751 + true + Scale NU + Scale NU + + + + + + 11573 + 9539 + 154 + 104 + + + 11657 + 9591 + + + + + + Base geometry + 61be92e4-3ba1-405d-85c9-c1daaec69c9c + true + Geometry + Geometry + true + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 1 + + + + + + 11575 + 9541 + 67 + 20 + + + 11618 + 9551 + + + + + + + + Base plane + ddf4be38-20d6-4410-aa34-25cfa964666d + true + Plane + Plane + false + 0 + + + + + + 11575 + 9561 + 67 + 20 + + + 11618 + 9571 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 1ae5b21a-0eea-4313-8a9a-77e65611333d + 1/X + true + Scale X + Scale X + false + d9fe0984-3aeb-476c-8612-cde1dca8df55 + 1 + + + + + + 11575 + 9581 + 67 + 20 + + + 11618 + 9591 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + 4dec546a-b7ae-470b-b03e-193ff9c206a9 + 1/X + true + Scale Y + Scale Y + false + bfb0a1f8-5ba6-4a76-abac-b03ed99f2d4d + 1 + + + + + + 11575 + 9601 + 67 + 20 + + + 11618 + 9611 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + 8be6b9b5-7e81-4b88-a285-6f43dee6a0eb + true + Scale Z + Scale Z + false + 0 + + + + + + 11575 + 9621 + 67 + 20 + + + 11618 + 9631 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + e73b8fb7-c602-4f45-8a35-c592c27aba49 + true + Geometry + Geometry + false + 0 + + + + + + 11672 + 9541 + 53 + 50 + + + 11700 + 9566 + + + + + + + + Transformation data + 50bdd865-f8fa-4f1b-958f-b28cfbc014cb + true + Transform + Transform + false + 0 + + + + + + 11672 + 9591 + 53 + 50 + + + 11700 + 9616 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 4dd39426-4757-4d5a-9089-0bf8a32981e1 + 0c51e735-7128-43bd-a415-e5cf097cbe5f + a066dc91-c5e2-4469-9d2e-78cc2ca94a15 + d9bf0b46-bd1c-4601-802b-4bbb035268c6 + 3cf69b06-b52f-4502-82f2-4e60b42f8cc3 + 9f169e54-507b-4163-abda-cef3e216b751 + 0a11e65e-d83c-4f16-a8d6-0e449e303149 + e27f66f6-779d-49ac-8cac-820afea61e6d + 95592e16-f781-4432-bf8c-7febd23536f6 + 4072dd5f-488b-48b1-bb99-6a919c99b6ec + 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d + d945ae52-67d3-4239-a1da-df27a7e00bb0 + 12 + d619f561-af55-42ce-8fa5-da99e4f5d54b + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 0a11e65e-d83c-4f16-a8d6-0e449e303149 + true + Curve + Curve + false + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 1 + + + + + + 11629 + 10049 + 50 + 24 + + + 11654.97 + 10061.79 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e27f66f6-779d-49ac-8cac-820afea61e6d + true + Curve + Curve + false + e73b8fb7-c602-4f45-8a35-c592c27aba49 + 1 + + + + + + 11626 + 9498 + 50 + 24 + + + 11651.75 + 9510.039 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 95592e16-f781-4432-bf8c-7febd23536f6 + true + Move + Move + + + + + + 11579 + 9286 + 138 + 44 + + + 11647 + 9308 + + + + + + Base geometry + cc8c4ccf-ae5b-404c-9e52-36d47e81ce2e + true + Geometry + Geometry + true + e27f66f6-779d-49ac-8cac-820afea61e6d + 1 + + + + + + 11581 + 9288 + 51 + 20 + + + 11608 + 9298 + + + + + + + + Translation vector + 706df9ce-e779-4517-a878-52f1ded82837 + true + Motion + Motion + false + 9ca69f5a-0f79-40d9-82b9-6cbb711d1b3a + 1 + + + + + + 11581 + 9308 + 51 + 20 + + + 11608 + 9318 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 2e9dd332-07b1-447a-9b85-e8b04e115eed + true + Geometry + Geometry + false + 0 + + + + + + 11662 + 9288 + 53 + 20 + + + 11690 + 9298 + + + + + + + + Transformation data + 6f3066a4-9efe-4ee0-9cea-09de2adc3ffe + true + Transform + Transform + false + 0 + + + + + + 11662 + 9308 + 53 + 20 + + + 11690 + 9318 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 4072dd5f-488b-48b1-bb99-6a919c99b6ec + true + Curve + Curve + false + 2e9dd332-07b1-447a-9b85-e8b04e115eed + 1 + + + + + + 11627 + 9244 + 50 + 24 + + + 11652.08 + 9256.252 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5d01f4d6-99bc-4ec4-9a50-725917d669e3 + true + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 11018 + 14159 + 439 + 22 + + 0 + 0 + 0 + + 11018.61 + 14159.47 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + b8e7a4d5-ee36-48ac-9821-b87d1a94d60e + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 11111 + 14309 + 251 + 20 + + + 11111.22 + 14309.87 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ccc605f7-a0f4-490d-99f2-72959d062d3e + true + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 11018 + 14218 + 439 + 20 + + 0 + 0 + 0 + + 11018.06 + 14218.51 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + 1/X + true + b297a4bc-6ceb-462f-a794-9fe2bd6e73c9 + true + Expression + + + + + + + 11200 + 14406 + 79 + 28 + + + 11242 + 14420 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 76e93742-5f4c-4be2-946a-398788bcf838 + true + Variable X + X + true + 3b1f7922-4b7e-4166-983c-75cb3eb8a170 + 1 + + + + + + 11202 + 14408 + 14 + 24 + + + 11210.5 + 14420 + + + + + + + + Result of expression + d2af385a-c99b-412b-875e-b7f232cf85d5 + true + Result + + false + 0 + + + + + + 11268 + 14408 + 9 + 24 + + + 11274 + 14420 + + + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + ddda4732-6250-4450-a11a-010b13680da0 + true + Point + Point + false + a3f6ca53-8639-4a50-8e51-9d73d0818a56 + 1 + + + + + + 11234 + 11934 + 50 + 24 + + + 11259.03 + 11946.6 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a3f6ca53-8639-4a50-8e51-9d73d0818a56 + true + Relay + + false + 6675e784-7e56-4b18-8b5b-3311ab42d31a + 1 + + + + + + 11236 + 11980 + 40 + 16 + + + 11256 + 11988 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c86ec8a3-9ea7-4981-9a9d-edda0165242c + true + Relay + + false + 4e4befa7-ccb1-48ef-9e67-abc3834e0b17 + 1 + + + + + + 11236 + 11757 + 40 + 16 + + + 11256 + 11765 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 3fe7a6e2-d179-493c-a8f1-8105d057ade7 + true + Scale + Scale + + + + + + 11179 + 11793 + 154 + 64 + + + 11263 + 11825 + + + + + + Base geometry + 5417c611-83be-43d3-8fd9-366ea9cb751e + true + Geometry + Geometry + true + ddda4732-6250-4450-a11a-010b13680da0 + 1 + + + + + + 11181 + 11795 + 67 + 20 + + + 11224 + 11805 + + + + + + + + Center of scaling + f9824b60-5218-440b-ab01-2cde20ad3c42 + true + Center + Center + false + 0 + + + + + + 11181 + 11815 + 67 + 20 + + + 11224 + 11825 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 93267293-0f36-4350-a95d-f341d0599433 + 2^X + true + Factor + Factor + false + 3b353169-95e9-4680-9cf6-3f909e1356e1 + 1 + + + + + + 11181 + 11835 + 67 + 20 + + + 11224 + 11845 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 4e4befa7-ccb1-48ef-9e67-abc3834e0b17 + true + Geometry + Geometry + false + 0 + + + + + + 11278 + 11795 + 53 + 30 + + + 11306 + 11810 + + + + + + + + Transformation data + 229aa8bc-ceb6-43a4-ab71-6909a68dcb75 + true + Transform + Transform + false + 0 + + + + + + 11278 + 11825 + 53 + 30 + + + 11306 + 11840 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 3b353169-95e9-4680-9cf6-3f909e1356e1 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 11138 + 11878 + 250 + 20 + + + 11138.81 + 11878.96 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ddda4732-6250-4450-a11a-010b13680da0 + 1 + 76aa88d4-0024-4f8d-bdda-fa012bf2b40c + Group + Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b8c8100f-cc98-44a5-ae31-2a5e6a66bb38 + true + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 10786 + 13438 + 40 + 16 + + + 10806 + 13446 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f5c15749-9790-4708-adc4-cdf138ed172a + true + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 10735 + 13405 + 144 + 20 + + 0 + 0 + 0 + + 10735.65 + 13405.73 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + b63432c2-001f-4537-b123-f27431ea6265 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 11111 + 14261 + 251 + 20 + + + 11111.22 + 14261.62 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + d945ae52-67d3-4239-a1da-df27a7e00bb0 + true + Vector XYZ + Vector XYZ + + + + + + 11579 + 9372 + 139 + 64 + + + 11664 + 9404 + + + + + + Vector {x} component + f0fff69f-4c96-457f-ad9e-97ba8ceeec1c + true + X component + X component + false + 0 + + + + + + 11581 + 9374 + 68 + 20 + + + 11616.5 + 9384 + + + + + + 1 + + + + + 1 + {0} + + + + + 12.5 + + + + + + + + + + + Vector {y} component + 820bca44-b6f4-4a8c-b906-c861fd0c8f70 + true + Y component + Y component + false + 0 + + + + + + 11581 + 9394 + 68 + 20 + + + 11616.5 + 9404 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5 + + + + + + + + + + + Vector {z} component + 0268fc89-40f6-4fa5-9c61-a3daa4174ff3 + true + Z component + Z component + false + 0 + + + + + + 11581 + 9414 + 68 + 20 + + + 11616.5 + 9424 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 9ca69f5a-0f79-40d9-82b9-6cbb711d1b3a + true + Vector + Vector + false + 0 + + + + + + 11679 + 9374 + 37 + 30 + + + 11699 + 9389 + + + + + + + + Vector length + e5c50b4f-8e3b-422e-8e7e-e801070425be + true + Length + Length + false + 0 + + + + + + 11679 + 9404 + 37 + 30 + + + 11699 + 9419 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + cce1227a-54c9-49c2-b6fc-09416f38af63 + true + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 11215 + 13918 + 40 + 16 + + + 11235 + 13926 + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + ddd3b180-869b-42de-8270-aaf94b69d469 + true + Stream Filter + Stream Filter + + + + + + 10763 + 13570 + 89 + 64 + + + 10808 + 13602 + + + + + + 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 + 7be4334c-9ed6-4334-aade-fae73a0784fc + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 10765 + 13572 + 28 + 20 + + + 10780.5 + 13582 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + e6fdcc75-b30f-473b-ade7-793f791caf49 + true + false + Stream 0 + 0 + true + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + + + + + + 10765 + 13592 + 28 + 20 + + + 10780.5 + 13602 + + + + + + + + 2 + Input stream at index 1 + e40c6cc5-5047-44d6-b748-b9131e5ebf7a + true + false + Stream 1 + 1 + true + a907a344-b9c0-468b-a400-728beb37d17d + 1 + + + + + + 10765 + 13612 + 28 + 20 + + + 10780.5 + 13622 + + + + + + + + 2 + Filtered stream + 5b6b9538-a868-4c4e-b7d8-a06492da7f4e + true + false + Stream + S(1) + false + 0 + + + + + + 10823 + 13572 + 27 + 60 + + + 10838 + 13602 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 0776aca5-6dbc-4612-8a96-4159a90a0763 + Number Slider + + false + 0 + + + + + + 11436 + 23964 + 150 + 20 + + + 11436.19 + 23964.84 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 57c04315-8443-4211-b8a3-ffe22027dbed + true + Relay + + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 19867 + 12459 + 40 + 16 + + + 19887 + 12467 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + Relay + + false + 0776aca5-6dbc-4612-8a96-4159a90a0763 + 1 + + + + + + 11491 + 23923 + 40 + 16 + + + 11511 + 23931 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0776aca5-6dbc-4612-8a96-4159a90a0763 + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 2 + ca0b4c8e-f4b8-419c-846a-9f1a9863bf4b + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 7b693454-2db5-44a3-9c4a-cc11487e6907 + Curve + Curve + false + 105dd2da-6e8a-4d38-bd7f-08d0903e13f6 + 1 + + + + + + 11486 + 24409 + 50 + 24 + + + 11511.16 + 24421.29 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 3a650aef-6a0b-4f56-bc6c-8e2ab6306e69 + Curve + Curve + false + 2b7f9a30-5371-4790-99c4-557f50f3e7cc + 1 + + + + + + 11486 + 24356 + 50 + 24 + + + 11511.71 + 24368.68 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 0578316c-418c-4e89-95a7-dc9ddb5ba462 + 8f66ad49-6028-4a1b-8324-63844d87d550 + eb58ff90-1679-4c1c-9aae-21704022ebf7 + 5c8b78b1-f658-485c-9d77-edfdca1b886d + 168c86e3-663d-475f-a603-92ce0e6c763d + 075789cc-fd97-4a29-a0a4-8c0e2f794e3d + 6 + 4b1ca85a-e669-4ea2-b90e-e27dc892b2ec + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6da43f5e-2344-42e0-8823-8ec75de07231 + 8c0c431d-bd00-4610-9b5a-9e3d0a053f8e + 8dbaf549-2671-4ad4-b5ac-536e6a2a8901 + 1721909e-d146-4830-8a60-c58544adb2ee + ed50920d-957d-4fe5-bb0b-7f68b819a4ed + f428a9fd-175d-4ca0-8447-213754536171 + a753d0e0-c4d3-445a-b1ae-6c5d03ee3391 + 977dbbfd-d9ff-4fdc-9076-714f69226b51 + 5009adea-3889-4444-a662-550d073a1b5e + 97d5ad31-67a5-4eec-b0d5-2775b37f1541 + 231950ad-fd20-44da-9934-dbdc3bb0bbe5 + c35ebd20-cda5-4150-8dbb-66ad350904e1 + 5e828d95-2fec-4583-aa06-a540b9e69323 + 915c57bd-c5d4-409f-8a53-59251156111f + c224342c-801f-4459-9224-44879ddf539f + cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 + 684f5a7a-2f03-46d6-a594-682e524e0f68 + 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 + 6860470d-e422-488a-9a4e-717f9040fa82 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + ca997e41-79d8-4e43-be24-c7b4c29481db + 40e37398-63c4-4a61-8694-7bd0ef83882c + 3efab561-d7ca-4b3f-8baa-e5c5274c459a + 162dd3b1-5741-4663-a444-3fa31148c1ee + 3aca04d1-98fe-4378-828f-c99301545001 + e67b0b22-5a9d-4a3c-a163-a804cde0e427 + 2a4d5012-04cc-4247-915e-1cbb81186d49 + 8fa6f59b-258e-48ca-b17f-63e7e3b21bde + 901e65d6-0c60-4242-bf8e-30887721e972 + 8901b2a5-394d-440a-854c-9cfa8fe88dd9 + 52850b18-b739-4fe3-b12a-324e456a1b0b + de53a182-560f-41aa-841e-a01c2e117edd + 8f5d54fc-e807-440d-a8ba-0e136be67037 + b42663bb-8528-4524-acb7-8ce856e76743 + 8a1219da-7568-4bee-a1d1-489d4d064c6c + 6b22260c-9522-4182-aec8-00efe0989f78 + def5db13-812d-4a84-8f70-2fee3b6ea2e9 + cd7bd7ef-5792-4acf-ac07-684674ce7147 + 73efbebe-da42-4797-91d5-a45230a418ca + f2a0f7a2-f430-40a1-926c-4afb69938381 + 9a36eaef-3e40-4f52-ac71-623ea3dd3e3d + bfb59471-3c40-4fc4-9451-b25199c0640b + 97373ad8-d4a7-40e1-b86f-3a8c7943c731 + 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 + b1c735ca-5069-476f-82db-a61298330b88 + 303287e2-db47-42d8-ab9a-cdb1cee3814b + 7f194e45-9fbb-4b38-aaab-583c59ceedee + 327f272f-5bf3-4638-9fd6-29b2a9e888a4 + a56987c9-5a0c-4c41-973e-58b2ff77fffc + 0b39b96b-83c9-44e7-9f1c-de7fc93311be + 4a8fc40f-d5bb-4256-90c9-d8031661ab5c + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 914c2f95-f40f-4ec9-92ad-a19618256d32 + efe35352-6dd4-4382-bc7d-4163c1e963ab + 040ab894-16a7-4940-82e1-b350e4dada1e + 1d37bbe6-c3d7-4338-8012-3e3131f52e93 + e6f0628a-91eb-498b-9037-e1eda68231cf + 4b56d016-6f27-482a-b82d-25e4243c057c + d46a4d3a-f49c-4ddb-a9e2-bef53b448819 + 7617170b-b3ea-4adf-ad17-80da8e4e2314 + 3776ba36-dc6a-43e9-921c-90277b55795c + 1fa63778-59d4-4004-a25a-c4b5189f889b + 8a6b5972-ad07-4ee8-9661-d79409b7ca0c + f5daa0a5-064f-48e0-9aea-0037c20fcd07 + 91586ac2-1724-49d2-9bce-dcebd4685515 + e1807893-da4a-4101-ac40-63126ea670f6 + 8b503ea6-0c14-46fc-ae0b-7ae4ce6243b8 + 4c64635c-1880-4b55-b09b-268462bf0344 + 9b61b62d-1781-425b-8b1f-b7e73ef765da + 1ea137c4-3571-4d3f-8ceb-c0cae1c5bf1e + 768840f7-01a4-42a5-840c-7347ebd0d7e0 + 51067a14-7237-490f-9fc3-040d29b665b0 + 144184ab-677d-47bc-a4a6-010cda1cf2cf + b3593429-13b3-486e-92c0-19c2f2f74760 + 5aeed1da-374b-4672-97ff-7c101c45c07b + 23855da3-6d8e-4093-a346-2efc4f3152ba + a90efd40-4b05-4533-9ad7-0796e67982a3 + 312d6dd1-da67-4e61-a386-22acf74b4c94 + 9b6b10be-ffa4-4ec6-aca8-19b2c677acf8 + e1daa472-99c5-415c-bbc5-9bbba42f5076 + 97652b8e-75f7-4d43-9462-ada2217bdd58 + 747334ba-25b6-4ffe-903e-79ffdb0809f9 + 8d228938-b7a0-485e-b640-49199a3a4d21 + 83 + d201e9d3-92fe-486a-acc8-f9e90220977c + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8c0c431d-bd00-4610-9b5a-9e3d0a053f8e + 8dbaf549-2671-4ad4-b5ac-536e6a2a8901 + 1721909e-d146-4830-8a60-c58544adb2ee + ed50920d-957d-4fe5-bb0b-7f68b819a4ed + f428a9fd-175d-4ca0-8447-213754536171 + a753d0e0-c4d3-445a-b1ae-6c5d03ee3391 + 977dbbfd-d9ff-4fdc-9076-714f69226b51 + 5009adea-3889-4444-a662-550d073a1b5e + 97d5ad31-67a5-4eec-b0d5-2775b37f1541 + 231950ad-fd20-44da-9934-dbdc3bb0bbe5 + c35ebd20-cda5-4150-8dbb-66ad350904e1 + 5e828d95-2fec-4583-aa06-a540b9e69323 + 915c57bd-c5d4-409f-8a53-59251156111f + c224342c-801f-4459-9224-44879ddf539f + cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 + 684f5a7a-2f03-46d6-a594-682e524e0f68 + 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 + 6860470d-e422-488a-9a4e-717f9040fa82 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + ca997e41-79d8-4e43-be24-c7b4c29481db + 40e37398-63c4-4a61-8694-7bd0ef83882c + 3efab561-d7ca-4b3f-8baa-e5c5274c459a + 162dd3b1-5741-4663-a444-3fa31148c1ee + 3aca04d1-98fe-4378-828f-c99301545001 + e67b0b22-5a9d-4a3c-a163-a804cde0e427 + 2a4d5012-04cc-4247-915e-1cbb81186d49 + 8fa6f59b-258e-48ca-b17f-63e7e3b21bde + 901e65d6-0c60-4242-bf8e-30887721e972 + 8901b2a5-394d-440a-854c-9cfa8fe88dd9 + 52850b18-b739-4fe3-b12a-324e456a1b0b + de53a182-560f-41aa-841e-a01c2e117edd + 8f5d54fc-e807-440d-a8ba-0e136be67037 + b42663bb-8528-4524-acb7-8ce856e76743 + 8a1219da-7568-4bee-a1d1-489d4d064c6c + 6b22260c-9522-4182-aec8-00efe0989f78 + def5db13-812d-4a84-8f70-2fee3b6ea2e9 + cd7bd7ef-5792-4acf-ac07-684674ce7147 + 73efbebe-da42-4797-91d5-a45230a418ca + f2a0f7a2-f430-40a1-926c-4afb69938381 + 9a36eaef-3e40-4f52-ac71-623ea3dd3e3d + bfb59471-3c40-4fc4-9451-b25199c0640b + 97373ad8-d4a7-40e1-b86f-3a8c7943c731 + 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 + b1c735ca-5069-476f-82db-a61298330b88 + 303287e2-db47-42d8-ab9a-cdb1cee3814b + 7f194e45-9fbb-4b38-aaab-583c59ceedee + 327f272f-5bf3-4638-9fd6-29b2a9e888a4 + a56987c9-5a0c-4c41-973e-58b2ff77fffc + 0b39b96b-83c9-44e7-9f1c-de7fc93311be + 4a8fc40f-d5bb-4256-90c9-d8031661ab5c + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 914c2f95-f40f-4ec9-92ad-a19618256d32 + efe35352-6dd4-4382-bc7d-4163c1e963ab + 040ab894-16a7-4940-82e1-b350e4dada1e + 1d37bbe6-c3d7-4338-8012-3e3131f52e93 + e6f0628a-91eb-498b-9037-e1eda68231cf + 4b56d016-6f27-482a-b82d-25e4243c057c + d46a4d3a-f49c-4ddb-a9e2-bef53b448819 + 7617170b-b3ea-4adf-ad17-80da8e4e2314 + 3776ba36-dc6a-43e9-921c-90277b55795c + 1fa63778-59d4-4004-a25a-c4b5189f889b + 8a6b5972-ad07-4ee8-9661-d79409b7ca0c + f5daa0a5-064f-48e0-9aea-0037c20fcd07 + 91586ac2-1724-49d2-9bce-dcebd4685515 + e1807893-da4a-4101-ac40-63126ea670f6 + 8b503ea6-0c14-46fc-ae0b-7ae4ce6243b8 + 4c64635c-1880-4b55-b09b-268462bf0344 + 9b61b62d-1781-425b-8b1f-b7e73ef765da + 1ea137c4-3571-4d3f-8ceb-c0cae1c5bf1e + 768840f7-01a4-42a5-840c-7347ebd0d7e0 + 51067a14-7237-490f-9fc3-040d29b665b0 + 144184ab-677d-47bc-a4a6-010cda1cf2cf + b3593429-13b3-486e-92c0-19c2f2f74760 + 5aeed1da-374b-4672-97ff-7c101c45c07b + 23855da3-6d8e-4093-a346-2efc4f3152ba + a90efd40-4b05-4533-9ad7-0796e67982a3 + 312d6dd1-da67-4e61-a386-22acf74b4c94 + 9b6b10be-ffa4-4ec6-aca8-19b2c677acf8 + e1daa472-99c5-415c-bbc5-9bbba42f5076 + 79 + 6da43f5e-2344-42e0-8823-8ec75de07231 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 312d6dd1-da67-4e61-a386-22acf74b4c94 + 1 + 8c0c431d-bd00-4610-9b5a-9e3d0a053f8e + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 1721909e-d146-4830-8a60-c58544adb2ee + 1 + 8dbaf549-2671-4ad4-b5ac-536e6a2a8901 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ed50920d-957d-4fe5-bb0b-7f68b819a4ed + 1 + 1721909e-d146-4830-8a60-c58544adb2ee + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + f428a9fd-175d-4ca0-8447-213754536171 + 1 + ed50920d-957d-4fe5-bb0b-7f68b819a4ed + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + a753d0e0-c4d3-445a-b1ae-6c5d03ee3391 + 1 + f428a9fd-175d-4ca0-8447-213754536171 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 977dbbfd-d9ff-4fdc-9076-714f69226b51 + 1 + a753d0e0-c4d3-445a-b1ae-6c5d03ee3391 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 97d5ad31-67a5-4eec-b0d5-2775b37f1541 + 1 + 977dbbfd-d9ff-4fdc-9076-714f69226b51 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 5009adea-3889-4444-a662-550d073a1b5e + true + Curve + Curve + false + 0 + + + + + + 13009 + 13184 + 50 + 24 + + + 13034.4 + 13196.67 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + pNlxXI3n4/j/I0kIaSGJNUJIO1polq6DRks4aCTJYSEkZy20hLOEEA5akuRIKmk0CyE5s0YjxEKscRBCOGuNEL726fU+9+/3eT++f33PHz27X9e57+s+97nPfe4eyZrIZLJ37x//+u/Dyuz9j0njQ+eELxi+YP78BeEujhNnRnwzZ0H4kEGu/T9xdev/ibvH+1/k8v4ujsMXhkUujJg5JHzmwsiI6WEujsqFM8LmfDVq5rf+C+bNDB8yYICbm0f/mZ8O+mrQgAEDPpE3+3cWu//ZuOvImQvmz4yM+NZVuSDs2+ELIxbNNH8/2HxR42Qtp0d8FTpn0cxPQua3WKCeGR6+MGLGN+Yh0yOn//skS0tLs3/307qXTOb23i0NraxaNH3/S9t/f1wxt5SZvVpuJvvt/S//Pl6/M5PZ8voM5dfGjHz4e7uT92TWK5p0M+b80ye+4f34Jp5rbS773w+j+K/U2E/+79Lsv56jVDSqwlBUK/7dwTcys//awU7tDgSPa1Xe7uTbxh30tf+24787+CvPtW7KE//d0abW/w87+1/r/u+Hlm3pMBvzMB8LsBD1eAqL8TSW4FksxQtYhpfwMv6O5XgFr+I1rMDreAP/wEr8E2/iLTQ0qkHZbZZRdodllN1lGWVVLKPsHssou88yyh6wjLJqllH2kGWUPWIZZY9ZRlkNyyh7wjLKnrKMsmcs43/OIQVqUP+fc+svxlGDepTVMo4a1KPsb8ZRg3qU1TGOGtSj7B/GUYN6lD1nHDWoR9kLxlGDepTVM44a1KPsJeOoQT3KXjGOGtSj7DXjqEE9yhoYRw3qUfaGcdSgHmVvGUcN6lH2jnHUoP7df64div/56YgKVKEGdahHA8qasD4qUIUa1KEeDSgzY31UoAo1qEM9GlDWlPVRgSrUoA71aECZOeujAlWoQR3q0YCyZqyPClShBnWoRwPKLFgfFahCDepQjwaUNWd9VKAKNahDPRpQZsn6qEAValCHejSgrAXrowJVqEEd6tGAspasjwpUoQZ1qEcDylqxPipQhRrUoR4NKLNifVSgCjWoQz0aUNaa9VGBKtSgDvVoQFkb1kcFqlCDOtSjAWVtWR8VqEIN6lCPBpRZN2qNjihHBSpRhWrUoBZ1mId6LEMDGlHWjvnREeWoQCWqUI0a1KIO81CPZWhAI8psmB8dUY4KVKIK1ahBLeowD/VYhgY0ouwD5kdHlKMClahCNWpQizrMQz2WoQGNKLNlfnREOSpQiSpUowa1qMM81GMZGtCIsvbMj44oRwUqUYVq1KAWdZiHeixDAxpR1oH50RHlqEAlqlCNGtSiDvNQj2VoQCPKOjI/OqIcFahEFapRg1rUYR7qsQwNaESZHfOjI8pRgUpUoRo1qEUd5qEey9CARpR1Yn50RDkqUIkqVKMGtajDPNRjGRrQiDJ75kdHlKMClahCNWpQizrMQz2WoQGNKOvM/OiIclSgElWoRg1qUYd5qMcyNKARZQ7Mj44oRwUqUYVq1KAWdZiHeixDAxpR1oX50RHlqEAlqlCNGtSiDvNQj2VoQCPKujI/OqIcFahEFapRg1rUYR7qsQwNaETZh8yPjihHBSpRhWrUoBZ1mId6LEMDGlHm2KglWqMdOqIzytEDFeiDSgxAFYaiGqNQg/GoxWTUYTbmYQHqsQTLsAINWI1GrEfZR41aojXaoSM6oxw9UIE+qMQAVGEoqjEKNRiPWkxGHWZjHhagHkuwDCvQgNVoxHqUdWvUEq3RDh3RGeXogQr0QSUGoApDUY1RqMF41GIy6jAb87AA9ViCZViBBqxGI9ajrHujlmiNduiIzihHD1SgDyoxAFUYimqMQg3GoxaTUYfZmIcFqMcSLMMKNGA1GrEeZU6NWqI12qEjOqMcPVCBPqjEAFRhKKoxCjUYj1pMRh1mYx4WoB5LsAwr0IDVaMR6lPVo1BKt0Q4d0Rnl6IEK9EElBqAKQ1GNUajBeNRiMuowG/OwAPVYgmVYgQasRiPWo6xno5ZojXboiM4oRw9UoA8qMQBVGIpqjEINxqMWk1GH2ZiHBajHEizDCjRgNRqxHmW9GrVEa7RDR3RGOXqgAn1QiQGowlBUYxRqMB61mIw6zMY8LEA9lmAZVqABq9GI9ShzbtQSrdEOHdEZ5eiBCvRBJQagCkNRjVGowXjUYjLqMBvzsAD1WIJlWIEGrEYj1qOsd6OWaI126IjOKEcPVKAPKjEAVRiKaoxCDcajFpNRh9mYhwWoxxIswwo0YDUasR5lfRq1RGu0Q0d0Rjl6oAJ9UIkBqMJQVGMUajAetZiMOszGPCxAPZZgGVagAavRiPUo69uoJVqjHTqiM8rRAxXog0oMQBWGohqjUIPxqMVk1GE25mEB6rEEy7ACDViNRqxHmUujlmiNduiIzihHD1SgDyoxAFUYimqMQg3GoxaTUYfZmIcFqMcSLMMKNGA1GrEeZf0atURrtENHdEY5eqACfVCJAajCUFRjFGowHrWYjDrMxjwsQD2WYBlWoAGr0Yj1KHNt1BKt0Q4d0Rnl6IEK9EElBqAKQ1GNUajBeNRiMuowG/OwAPVYgmVYgQasRiPWo+zjRi3RGu3QEZ1Rjh6oQB9UYgCqMBTVGIUajEctJqMOszEPC1CPJViGFWjAajRiPcrkjZqjJVqhNdqiHTqgIzqhM7qgHN3RAz1Rgd7og36oRH8MwCBUYQiGYhiqMRKjMAY1GIfxmIBaTMRkTEUdZmA25mIe5mMBFqIei7EES7EMy7ECK9GAVViNNWjEOqzHBpT1b9QcLdEKrdEW7dABHdEJndEF5eiOHuiJCvRGH/RDJfpjAAahCkMwFMNQjZEYhTGowTiMxwTUYiImYyrqMAOzMRfzMB8LsBD1WIwlWIplWI4VWIkGrMJqrEEj1mE9NqDMrVFztEQrtEZbtEMHdEQndEYXlKM7eqAnKtAbfdAPleiPARiEKgzBUAxDNUZiFMagBuMwHhNQi4mYjKmowwzMxlzMw3wswELUYzGWYCmWYTlWYCUasAqrsQaNWIf12ICyTxo1R0u0Qmu0RTt0QEd0Qmd0QTm6owd6ogK90Qf9UIn+GIBBqMIQDMUwVGMkRmEMajAO4zEBtZiIyZiKOszAbMzFPMzHAixEPRZjCZZiGZZjBVaiAauwGmvQiHVYjw0oc2/UHC3RCq3RFu3QAR3RCZ3RBeXojh7oiQr0Rh/0QyX6YwAGoQpDMBTDUI2RGIUxqME4jMcE1GIiJmMq6jADszEX8zAfC7AQ9ViMJViKZViOFViJBqzCaqxBI9ZhPTagbECj5miJVmiNtmiHDuiITuiMLihHd/RAT1SgN/qgHyrRHwMwCFUYgqEYhmqMxCiMQQ3GYTwmoBYTMRlTUYcZmI25mIf5WICFqMdiLMFSLMNyrMBKNGAVVmMNGrEO67EBZQMbNUdLtEJrtEU7dEBHdEJndEE5uqMHeqICvdEH/VCJ/hiAQajCEAzFMFRjJEZhDGowDuMxAbWYiMmYijrMwGzMxTzMxwIsRD0WYwmWYhmWYwVWogGrsBpr0Ih1WI8NKBvUqDlaohVaoy3aoQM6ohM6owvK0R090BMV6I0+6IdK9McADEIVhmAohqEaIzEKY1CDcRiPCajFREzGVNRhBmZjLuZhPhZgIeqxGEuwFMuwHCuwEg1YhdVYg0asw3psQJlHo+ZoiVZojbZohw7oiE7ojC4oR3f0QE9UoDf6oB8q0R8DMAhVGIKhGIZqjMQojEENxmE8JqAWEzEZU1GHGZiNuZiH+ViAhajHYizBUizDcqzASjRgFVZjDRqxDuuxAWWfNmqOlmiF1miLduiAjuiEzuiCcnRHD/REBXqjD/qhEv0xAINQhSEYimGoxkiMwhjUYBzGYwJqMRGTMRV1mIHZmIt5mI8FWIh6LMYSLMUyLMcKrEQDVmE11qAR67AeG1A2uFFztEQrtEZbtEMHdEQndEYXlKM7eqAnKtAbfdAPleiPARiEKgzBUAxDNUZiFMagBuMwHhNQi4mYjKmowwzMxlzMw3wswELUYzGWYCmWYTlWYCUasAqrsQaNWIf12ICyzxo1R0u0Qmu0RTt0QEd0Qmd0QTm6owd6ogK90Qf9UIn+GIBBqMIQDMUwVGMkRmEMajAO4zEBtZiIyZiKOszAbMzFPMzHAixEPRZjCZZiGZZjBVaiAauwGmvQiHVYjw0o82zUHC3RCq3RFu3QAR3RCZ3RBeXojh7oiQr0Rh/0QyX6YwAGoQpDMBTDUI2RGIUxqME4jMcE1GIiJmMq6jADszEX8zAfC7AQ9ViMJViKZViOFViJBqzCaqxBI9ZhPTagbEij5miJVmiNtmiHDuiITuiMLihHd/RAT1SgN/qgHyrRHwMwCFUYgqEYhmqMxCiMQQ3GYTwmoBYTMRlTUYcZmI25mIf5WICFqMdiLMFSLMNyrMBKNGAVVmMNGrEO67EBZV6NmqMlWqE12qIdOqAjOqEzuqAc3dEDPVGB3uiDfqhEfwzAIFRhCIZiGKoxEqMwBjUYh/GYgFpMxGRMRR1mYDbmYh7mYwEWoh6LsQRLsQzLsQIr0YBVWI01aMQ6rMcGlIlGzdESrdAabdEOHdARndAZXVCO7uiBnqhAb/RBP1SiPwZgEKowBEMxDNUYiVEYgxqMw3hMQC0mYjKmog4zMBtzMQ/zsQALUY/FWIKlWIblWIGVaMAqrMYaNGId1mMDyhSNmqE5WqAltkQrbIPWaIO22AHt0B4dsCs6Yjd0wp7ojH3QBV1Rjm7ojgPRAwejJ3qhAoehN45AH/RFPxyDShyP/jgRAzAQgzAYVTgDQ3AWhuJcDMNwVGMERuIijMJojMFlqMFYjMNVGI9rMQE3oBY3YyImYTKmYCqmoQ7TMQMzMRtzMBf3Yx4exHw8jAV4DAuxCPV4CovxNJbgWSzFC1iGl7Ecr2IF3sBKvIkGvINVeB+r8RHW4FM0Yi3W4XOsx1fYgG9RNrRRMzRHC7TElmiFbdAabdAWO6Ad2qMDdkVH7IZO2BOdsQ+6oCvK0Q3dcSB64GD0RC9U4DD0xhHog77oh2NQiePRHydiAAZiEAajCmdgCM7CUJyLYRiOaozASFyEURiNMbgMNRiLcbgK43EtJuAG1OJmTMQkTMYUTMU01GE6ZmAmZmMO5uJ+zMODmI+HsQCPYSEWoR5PYTGexhI8i6V4AcvwMpbjVazAG1iJN9GAd7AK72M1PsIafIpGrMU6fI71+Aob8C2+/+L7H8zQHC3QEluiFbZBa7RBW+yAdmiPDtgVHbEbOmFPdMY+6IKuKEc3dMeB6IGD0RO9UIHD0BtHoA/6oh+OQSWOR3+ciAEYiEEYjCqcgSE4C0NxLoZhOKoxAiNxEUZhNMbgMtRgLMbhKozHtZiAG1CLmzERkzAZUzAV01CH6ZiBmZiNOZiL+zEPD2I+HsYCPIaFWIR6PIXFeBpL8CyW4gUsw8tYjlexAm9gJd5EA97BKryP1fgIa/ApGrEW6/A51uMrbMC3KBveqBmaowVaYku0wjZojTZoix3QDu3RAbuiI3ZDJ+yJztgHXdAV5eiG7jgQPXAweqIXKnAYeuMI9EFf9MMxqMTx6I8TMQADMQiDUYUzMARnYSjOxTAMRzVGYCQuwiiMxhhchhqMxThchfG4FhNwA2pxMyZiEiZjCqZiGuowHTMwE7MxB3NxP+bhQczHw1iAx7AQi1CPp7AYT2MJnsVSvIBleBnL8SpW4A2sxJtowDtYhfexGh9hDT5FI9ZiHT7HenyFDfgW3//B+z+YoTlaoCW2RCtsg9Zog7bYAe3QHh2wKzpiN3TCnuiMfdAFXVGObuiOA9EDB6MneqECh6E3jkAf9EU/HINKHI/+OBEDMBCDMBhVOANDcBaG4lwMw3BUYwRG4iKMwmiMwWWowViMw1UYj2sxATegFjdjIiZhMqZgKqahDtMxAzMxG3MwF/djHh7EfDyMBXgMC7EI9XgKi/E0luBZLMULWIaXsRyvYgXewEq8iQa8g1V4H6vxEdbgUzRiLdbhc6zHV9iAb1H2eaNmaI4WaIkt0QrboDXaoC12QDu0Rwfsio7YDZ2wJzpjH3RBV5SjG7rjQPTAweiJXqjAYeiNI9AHfdEPx6ASx6M/TsQADMQgDEYVzsAQnIWhOBfDMBzVGIGRuAijMBpjcBlqMBbjcBXG41pMwA2oxc2YiEmYjCmYimmow3TMwEzMxhzMxf2YhwcxHw9jAR7DQixCPZ7CYjyNJXgWS/ECluFlLMerWIE3sBJvogHvYBXex2p8hDX4FI1Yi3X4HOvxFTbgW5SNaNQMzdECLbElWmEbtEYbtMUOaIf26IBd0RG7oRP2RGfsgy7oinJ0Q3cciB44GD3RCxU4DL1xBPqgL/rhGFTiePTHiRiAgRiEwajCGRiCszAU52IYhqMaIzASF2EURmMMLkMNxmIcrsJ4XIsJuAG1uBkTMQmTMQVTMQ11mI4ZmInZmIO5uB/z8CDm42EswGNYiEWox1NYjKexBM9iKV7AMryM5XgVK/AGVuJNNOAdrML7WI2PsAafohFrsQ6fYz2+wgZ8i7KRjZqhOVqgJbZEK2yD1miDttgB7dAeHbArOmI3dMKe6Ix90AVdUY5u6I4D0QMHoyd6oQKHoTeOQB/0RT8cg0ocj/44EQMwEIMwGFU4A0NwFobiXAzDcFRjBEbiIozCaIzBZajBWIzDVRiPazEBN6AWN2MiJmEypmAqpqEO0zEDMzEbczAX92MeHsR8PIwFeAwLsQj1eAqL8TSW4FksxQtYhpexHK9iBd7ASryJBryDVXgfq/ER1uBTNGIt1uFzrMdX2IBvUebTqBmaowVaYku0wjZojTZoix3QDu3RAbuiI3ZDJ+yJztgHXdAV5eiG7jgQPXAweqIXKnAYeuMI9EFf9MMxqMTx6I8TMQADMQiDUYUzMARnYSjOxTAMRzVGYCQuwiiMxhhchhqMxThchfG4FhNwA2pxMyZiEiZjCqZiGuowHTMwE7MxB3NxP+bhQczHw1iAx7AQi1CPp7AYT2MJnsVSvIBleBnL8SpW4A2sxJtowDtYhfexGh9hDT5FI9ZiHT7HenyFDfgWZV80aobmaIGW2BKtsA1aow3aYge0Q3t0wK7oiN3QCXuiM/ZBF3RFObqhOw5EDxyMnuiFChyG3jgCfdAX/XAMKnE8+uNEDMBADMJgVOEMDMFZGIpzMQzDUY0RGImLMAqjMQaXoQZjMQ5XYTyuxQTcgFrcjImYhMmYgqmYhjpMxwzMxGzMwVzcj3l4EPPxMBbgMSzEItTjKSzG01iCZ7EUL2AZXsZyvIoVeAMr8SYa8A5W4X2sxkdYg0/RiLVYh8+xHl9hA75FmW+jZmiOFmiJLdEK26A12qAtdkA7tEcH7IqO2A2dsCc6Yx90QVeUoxu640D0wMHoiV6owGHojSPQB33RD8egEsejP07EAAzEIAxGFc7AEJyFoTgXwzAc1RiBkbgIozAaY3AZajAW43AVxuNaTMANqMXNmIhJmIwpmIppqMN0zMBMzMYczMX9mIcHMR8PYwEew0IsQj2ewmI8jSV4FkvxApbhZSzHq1iBN7ASb6IB72AV3sdqfIQ1+BSNWIt1+Bzr8RU24FuUjWrUDM3RAi2xJVphG7RGG7TFDmiH9uiAXdERu6ET9kRn7IMu6IpydEN3HIgeOBg90QsVOAy9cQT6oC/64RhU4nj0x4kYgIEYhMGowhkYgrMwFOdiGIajGiMwEhdhFEZjDC5DDcZiHK7CeFyLCbgBtbgZEzEJkzEFUzENdZiOGZiJ2ZiDubgf8/Ag5uNhLMBjWIhFqMdTWIynsQTPYilewDK8jOV4FSvwBlbiTTTgHazC+1iNj7AGn6IRa7EOn2M9vsIGfIsyv0bN0Bwt0BJbohW2QWu0QVvsgHZojw7YFR2xGzphT3TGPuiCrihHN3THgeiBg9ETvVCBw9AbR6AP+qIfjkEljkd/nIgBGIhBGIwqnIEhOAtDcS6GYTiqMQIjcRFGYTTG4DLUYCzG4SqMx7WYgBtQi5sxEZMwGVMwFdNQh+mYgZmYjTmYi/sxDw9iPh7GAjyGhViEejyFxXgaS/AsluIFLMPLWI5XsQJvYCXeRAPewSq8j9X4CGvwKRqxFuvwOdbjK2zAtygb3agZmqMFWmJLtMI2aI02aIsd0A7t0QG7oiN2Qyfsic7YB13QFeXohu44ED1wMHqiFypwGHrjCPRBX/TDMajE8eiPEzEAAzEIg1GFMzAEZ2EozsUwDEc1RmAkLsIojMYYXIYajMU4XIXxuBYTcANqcTMmYhImYwqmYhrqMB0zMBOzMQdzcT/m4UHMx8NYgMewEItQj6ewGE9jCZ7FUryAZXgZy/EqVuANrMSbaMA7WIX3sRofYQ0+RSPWYh0+x3p8hQ34FmVjGjVDc7RAS2yJVtgGrdEGbbED2qE9OmBXdMRu6IQ90Rn7oAu6ohzd0B0HogcORk/0QgUOQ28cgT7oi344BpU4Hv1xIgZgIAZhMKpwBobgLAzFuRiG4ajGCIzERRiF0RiDy1CDsRiHqzAe12ICbkAtbsZETMJkTMFUTEMdpmMGZmI25mAu7sc8PIj5eBgL8BgWYhHq8RQW42kswbNYihewDC9jOV7FCryBlXgTDXgHq/A+VuMjrMGnaMRarMPnWI+vsAHfomxso2ZojhZoiS3RCtugNdqgLXZAO7RHB+yKjtgNnbAnOmMfdEFXlKMbuuNA9MDB6IleqMBh6I0j0Ad90Q/HoBLHoz9OxAAMxCAMRhXOwBCchaE4F8MwHNUYgZG4CKMwGmNwGWowFuNwFcbjWkzADajFzZiISZiMKZiKaajDdMzATMzGHMzF/ZiHBzEfD2MBHsNCLEI9nsJiPI0leBZL8QKW4WUsx6tYgTewEm+iAe9gFd7HanyENfgUjViLdfgc6/EVNuBblCn/y6bWsv/r48Tv8o9HPG4i/ndPHfLbiIcGe/Gy1bsdbgrNif9/7yPq/JclBqhTh/ynN33a4Z/9zu5io9PyZx6LTpn6157/Pn+wWLN+0RG/XRWmvrh4SOmmUoVYbX4r5vwXD039dPW/2/EW3w2yljUPf27q+1oYu5TGjRQJHwd3H9DBzOs/3anHv9v3FV28W/RZ7t3K1Bd4pC+wGDJGHLh5b4Xzug9MvYXu33mVomLovQ5tjPamfq1zjkoXPV64jek7PfHNR6b+IuHf/fEX02LmrQqY18vUPzbGrjlx9UshX9GmcMHVfqZeOPTZ+/2cJIpvn/vo9V43U3ddOuXgDbfJYtRvrh/HNQw09fk7zrzf/0Axw/l2z+lPPjP1Pamf/PFiQ5DoOPI3W+0vClMfELnz/esKFsOjX+7r9Wi4qR91aGXe/vE0MaPT5DlFC0aaes2Iz96/XpXo304xdfvkUabe/5a6w7bd00X9FxbJzX4Ya+pW4zPfH4cZokd5k/bpg8ab+oNtf+RkjftKWFmUtLt42d/Ut+VZvz8+IaJJ9ne+P+RMMvWwjZ+Lw+9ChH9G4EjDz4Gm7vBx9PvjNlPcu71M26pzsKmfWr3/9+IfZonrH7WeNKdSZepXtXfeH8/ZwtXfJbHmwgxT7ze0Q+jvU0JFed3B4dPvh5j6/Q1fvD/Oc8SjJ4d7d3KabeqLFsQ03G4xVyT3HNNy1po5pq69tv/98Z8r0mI37N3WMczUux03aI1H5omWd9afa1YWbupftbZ5/76EiYXW/e3fXleb+n79sB7vZs4XU9ZZ+8+eEWHqG09HvH+/wkXHUeqFD5pEmnpB2/SjrW0XCN+BU1S9ji40dbOEsqbtHy8Qp+SVzy/GLzb13u3f9WwzXS06dX5rv/brb019Ulj79++vWmy+fG7/22+WmLrNsL5ft/f4WuTIlYlXtUtNfWaC4v37/rVo2irph2Mly039huLL4w5tI8S8Tv5Pe7f5ztSX+M95fz5EiK+PlXzXY0SsqZ87HtPM6X6EWODnGpuRsMLUf5m78f158o3YLV+ren07ztSv+O8a2/fEN2LRr7fXLxuxSpo37GDdfudIMXLW4CWxx1abes89p7a5JUYKxbxt26Z4rZE+L88ueR1+Fyk69zYPDL681tQvexrufjpvoXhmXN7v1qIEUy9f+iT+xNWF4kFbm5VuLhtMXZX+st/QYYtE14snL+XWbjT1Q9vM35+Hi0T6pyOHjbunNfVvxreJ8um0WHyWNrS5+41Npr75WIf35+di8dfBcUbnis3S9k92OTXWuFhcsHk1IPDWFlOPGt199u9TokT7iSesa58lmnqpspfVpDNRYrBN16P2LZOk7ef3/vGG27ci9Xra7Lf9tpq671d9JganfSsWfHbK/8yUZFM/MaL369stosXGX1oe3bllm6k/H9lTN3NhtBj96lXpj1dSTH3w2I8+f2iIFr4h7X/r1S3V1Nt42z8K81sivoitvNf32x2m/knrdhuNR5aIv8ouT6m+kWbqO7TN3CO7x4jJISd+/KW7TroO/PSi4sWGGHEifF/KtltSfzP5wdIlr2KE38k681a7dpn6xdnl3d7NXCo81t2w6heaLh2Hk0VnYi8tFT2bpV2wHbDb1G2HZ4ZZDFkmOk3VzLrWPMPUlb+vbbc2e5kQ+lPGNQapT1aGHW5tu1z8HZC5ZujJPdLnepvvlE3Ll4uoMWGjP8jINPVjCT1k7R8vFy+Lvwyw3Zhl6ndXLBvv11cjvvxz9+nJmmxTX/ZNtVOb6Rphfmhrfv3ivab+V6zyxcUkjXgxM8LLYlGOqa/Zefi3TaUaEWqxULM1ep+ptz9snzrB7DtRnG1I+nllrqk/OhgT3t7jO7FkyvMd27b+YOp/fFepuDb/O3HL+cWP7nn7TX14m8EfbNv9nXjdwelZ1sUDpl477Pt7gde/E4c/uOVhviTP1Ie2fHrEoW2sSOzbdN+hdj+a+svR3mtvescKz4tdK2v3ST30xdYgXXSsGBc1PvD0Fwel8/NZteuMvFjxeEfRT4MfS93QZVATp/uxYln+ikWB2p+kz+/c2N/vdV4hTvY7JZd/mm/q3ifO7skat0JsiUpRn74n9fOv20bNWb1CPJX1K+6VdMjUI6zG+/Y9sUL8/HHK0WDfw6b+Q7nW4UntCvHnXLNbC82OmHrAp6VP9zvHiRu2q04tLpL6xa7mP6uD48TrhM9rw5cVSNe3UI8tbolxotPH0xtmDjsqfd5fhc6s+y1ORE14GT675THpe+rw94MOv4sTxWNcK5ZelXqnZUUtogasFNe+djz9U+ZxU1/xyd0/Pp23UuS1MJ7+YEmhqXc50nT/a91KMWbaidDsCSdMvenDDzUnrq4Um49kfxojLzL1/OxB45dbrRJdJ1w+s63dSVNvdsXXaeiwVWJweOCuVi+k3ttv8nOzqFVivE7eJ1ytl64nj2eUFP+wSvy2bMWgdQ+kvkM7O2XV3VXi4MND4o7qZ1Pv0HF2mE+n1aL0n2troiqlXhQ43avl2NUi8NDLoAmBp6TXO3CidWncatHUo68s6obU98Z9fmf9sdWiZG3MscdBv0j3CV0/zh9rXC3qjry5/NNtqf/0p82qdj3jhexMkfZKaLH0vbzNOOn3KfEivvDi4Im1Uh/Up6T395vixcAUhd1ny36Vrieztr2eeCZeZAV/pF5jddrUp3UPOW/3Jl581Sx2zYgdUo8e5LzzhtsaUbQqYt9i+RlTb7L4njo1dI04fc2sS7fTUn94aPuw4LQ1wv3RsB6jgktMfeoZX1vH8jXCN3dYq/p6qZ9fWnvvdou14pylTQfXpN9M/UnO5iO7xVpx5b4+oXbAWVM/8GHfNTMXrhW3ek877Fsh9eG5xwN77VsrVv/YcP2zpeek+wRHb5eHhrUiZfJer3NOpab+8xfFb3I6rBN/vIzs+/aC1N1ffHYxzG+dsJi14MH1JedNPeafHJ1r7DqRMz/76Fd9L5j6Y+t2EcYj60T7yo8f6v6Uuqx9+PCDT9aJ3lHtTyRtvihdT0p/to3sniA8Yt29evQok96XJlb3B0xOEDM+7HJEFSv1NjF+R15sSBDu6tIw2W2p65qtiD9anCAejjlr1nzoJen+eeaByUteJYhRW9IcFqdLffb0S32GyNeLDJtLUyc0uyy9j/rq129nrhc/7Xw4J22O1O99/k+pfvt6kdZSXRV4UequR57viL20XtxyrFGvG/i7qbe6VhPu3XyDGPjDvYNuO6V+a/Y1YTFkg9i1uGr0hBblpv5h38PWJREbxLDP1feeRUo97Hb87TXZG8TkCusure5IPcZ37MFRNzeI/sbRyVnKK6bet0eLFa1tN4rWXxx4dUYv9fkfH55w8YuN4qPUwgfhblel63bPiU6blm8UETvfmO3cI/Vnv1bXjT+0UVxv9upZoP016Xv5t/m/2j7eKO4u+3T8Hq3UTy+s9Z1nrRWlh4ef11hWmPrO2p6f+PXViqkTdebG76S+YZB/534jtMJodm37Pw1Sn+oY3bTNdK2YELxgYOK31019fHzy46dLtCLX4q/FF15IfZjvgd8vJmlFXNLdplmLb5j6akXR8bwftWJDxoWlji+l/tr7192bSrVC/8una4bE/GHq5v2L10U80IqOK3J/kzWpNPWVfx77ZoLZJpE6f/+dsNVSr+62d4p7l03iy5ZnFse1/dPUO17fMLy9xybRsXKpi+82qWuuzev7fPwmsWl6YIbe6aZ0Pv8jPrg2f5Po2b4q9tGPUne1bPX6SPwmYQhLn3dWccvUz94vvZO8e5NQ3nAw++qS1EfPWnn226JNYuTMJ5F/9DeYetoU94OB1zcJy9/7f1W1ROpdt1/f9lndJjE2dOeO86el/lN95HcObTeLXeUvFybb3Db1vJEWc9703iza/2ruNWKa1J8Frlfe9N4svKtWjKzIlfpx85YeJ6dtFn43BleNfS31Ox1iPtRFbxaFfk9m7ve9Y+rbZty1+O77zSL2ZnDXf1KkrisQT6fnbRZ/fzxhWo8aqX/4UHtl2LnNIv3m+miF111TP/rL1cLu9zeLpSsv/zxyk9RXd2yXYd5ki9hSWLXK857UbX8S6+513iJcO8V3dhxcJZ2HITMiTg/cIg7001z6e6PUr9RHTc4at0VsXqN9VXBf6tOHrFDEh20RyqMx1Wqve6bu/1bTa87qLWLWCMsnDlulHtE8oo1v+hYx6MjzyUVGqdd0n/hPnxNbxAcbW303cdR9U5/XtV9lq4otosWYlvn3M6X+Wv/8VE3tFmH+9WFvddMH0v3GlYN7z7dOFGlf/x5Xp5L6we7TtfudE0WX006nI09KvfPCJos3Dk8UYbfnB9Z2rTb1tpu2TFUHJ4o3bhFbwpdL/Wevjt7jvk0Uv/f859Qjg9SLvBP6uCUmCv8exwaHDn9o6mZzaq0/OJAoZmyJ86vOlHq9+osXf/+WKHpe7ugb1uqR9P370aY/y6sSRVcxaOU/aqmrvX775dC7RCFzzxy78prUT677a2+S/ffioIXzawfx2NQ/L22hXTzgezGgheb6iSypzzjVblGA8nuxY83XnnPa1Ujv78ctgj6d9714eenkQscYqf965dlQ+1Xfi/HOrteqHkj9UOSvvV7rvhfrLyw/eMT/ianHl65pXXn8ezHVLGpyyimpr0v1/Lvw6vfC+831Lhv6PzX1ybv/rNjx1/didl3ouMRdUn+TFla0zCpJbLOr/ny/zTPp/tnv4e5pvZLEkCT70X/GSX37nAlrFMOShPv3vxR0q5d6+I854R9NTRKzHSY8EQON0vt16+kEs6gkce/iMLPXaqmrDnz46d3NSaJ9hI338FypR97w7Fr8Q5JIWr97Sqdqqa+0H9F0T0mSyMy59tdSp79MfZbzZ9Ur7yYJy7HaA19Pl/qows7nZ71NElZv9w/5J03qR9c/+HFkp60i2qP95y3+lHrihLQkZ/etQhuTEb6/c62ptygWS1qM3SrqP/f66l6g1NMSz017NGerONy6+Nz+FKm7Rw/1Phe3Vbj7dhzX6g+pP3Xe5Zy7c6vosqBT6uvOf0ufX/9HVuuPbRULnuz7UjNV6m4HHP6af2WrmPJJXs+UnVLPfDzoyhjjVuGX27zgiztSdz7+2dGPWyWLS/otBzf2qJM+1xd67bDumSx0VwecDJsj9VVXXmv+UiSLJcqLq27/IPXS5UdCLk9JFkM2DD34tFbqj5YE+vy0KFkU1Mx/lOjxj/T8xVV9Ezcli59/HVBRvkzq+Y5ftl2Ymyxs1NFOB36Ves/uubVfnkkW40SXKKfWz029ts/DKwPvJIuXK94tGfCl1AfebXW045tkMXmd2fU7O6Q+5vkHqfUdt4nlO5t79Hsg9Tutmyy/7rZNeDU3Dm3f/4V0f3X58vRjo7eJdhY7dm5fIvWVT+K9t4duEw6Vz17qT0tdNOveK2bFNtHp9G8vV9rUm/oFva7F1LRtIvhNK5/HwVKXn25SM+ToNnHkyNb1f+2Tevaxzy90Ld8mInqN+WbbS6kfHRaW9+7pNjF2iXX63ZEvTb2X2cLNhhYpIuzmyVNlSVJ/uX1a5M9OKWJI1JBl0+9Lff7BvhPTRYpYGzZ3adLAV6Zu9aBi0IrAFDH5j15z1KulvunGrE4hC1PEfcPER88qpP7a5corb22K2Pp9xd72fV9L9xVLu1f22JcijK03KO8slXrS3HEnLE6niPjAgNUTL0n96abgtAeGFPF6td2LiB4N0n2m1nd5yesUcTvtgI9HtNQHmrVX7e2wXfy6+61T1kWp74o9oVjbf7tovvW+u77HG1P3zh3+0Ty/7eJRpM9HcTFSv2uX1cRv9nbxzYBmW/7+XerLpj+47RK7XcwufePW1uWtdF/a1fxU6x3bxcDeH+Rci5N6zv2GXU+PbBcNA3vuGn1T6kPGXfru4uXtQlXZ8eevPd6Zetnfmul5T7aLna9LDnpvkbrqq1ZDN1mmitAI+w/PPJV6d3e1Y0T3VGFMWHQtpofM9H+Sb1/ufzfeK1V439WufDpB6n99fubmJ5NThWOG39OCWKmP21dwwjYyVVgPsJ9V+aPUVx6LTf1nw/vtvJwzdPJtqWc17bHk6t5UoRmXW/5xO+n/M2/b75x8pDhVdEwdF6kaKvVmGuOg5FupwuB+NvLx11KfdNGuw7evUsVnC1f1uZQudb22Y93k9jvE25+eP2xXLnU3Zc2lwfId4uvP1zXf38zM1H9NTjrQedQOMWZJ/rU9g6R+uq79+oaZO0Ruxp39L+dIffuTOXP/1OwQzdqsur03VepXW20eWbR9h+jdpG3x4YtS73NtvdPOwzuE+69PchybNjX16KtBTTSXdght2uZHDwZKvXjj2z9VNTvE7Qvzr1nNk7pzfMSxoc3TRPPvn/26cafUnwwvSOrWLU3Y9Itv+XW51JePuBjRdEia8CzLepnXwtzUv7I5MqZqUpq4m1/0YKyQ+pDeC/r8GpEmotsM6T1modQNrV40y1yfJja13mKTu0/qvQaPub0qO00cuiWvn3NH6h9+Elk4+5c08d2BVa7xnZqZ+v3I0K0+N9PE6gzzls3HSf1YTJ+I3i/TxKi79rfux0u97vRRv5a2O4XX+k/NnH+WeouL7Xs9dt0pftKXnTn7Uupr23o1Kf1ip6hIVsZddLMwdTsztz9yQ3a+v7/tnTAwTOqLP/wrf/3ynUKWePYTWabUl96K3hCeslNM/TPjootB6vZHL8wee2inaGbnnF9o39zUx3arUcjLdoqXY4oH5H0p9YHay53aPd4pytc8zG6+SerfHVe8rDfTiT9Lm8/4pVTqL5xiZs6x1on7dhsP3bW0NPXsIdsvXe+iE6p5z16Efi5136IdQ3z76oRbUfLSCbFSt522Yu8xD50obf46ZfdJqV+6Nqp93xE60e6zVRmT30j9zK3nmu0TdGLUyJynCz9rYepl/eJqWk3XCVe7a+frv5W6d9Tfk2LCdUL/fUzSnQKpN13o/UvNEp2YntFyxyf1Uv/2+iLXqWt04pDTXwNqBrU09U2Ba7edT9KJ5L93HrKKkvqp3GXmXhk60e/RKvX3BVJvEjdhwf4fdeKHP9sfX/VS6pe2WN7oelInVu8sfGgY3MrUP964w3tjqU54vHmkzIiReoazzYF313XiS73155eKpD7YZlYn9QOdWLh/h31oEytTX/YmeYWhTid6r2nSc4631DXbc54ozXYJsza5x8tXS/1yasqkn9vuEnOfW8n3nZN6/I+hP/fvskscerHlWk3b1qb+2Rrbvul9dol2v+RZpPhLvcnvOxJtPHaJsGa/t/tpm9Qjhpi/jf18l4ibPXe0xy2pZy8aOfvv8bvEL+vvt+7To430uXaZXfaVapcYaXckK36e1H1bffVp+fxdoiJ91AL/g1IP1Q9O916yS1wu/uDo+pdS3/viSctD8buEQ7vl192HtjX1fUEx3/RI2iXkHd44+a6R+rKUe398v3uX+Gfqm2fnL0k9f0pvb4sfd4n7hxePVLW2NnWV78jcRUW7xJCvPurbzk3qLayF7YNzu0SbiE/Ov5wo9RNfWsdMur5LfLDz3iT7GKnLio/dPXN/l8javeCfiF1Sv2TmNcqjbpc4PbBFWdMzUs87uu1gdpN0IWv9qN35Gqlv3Xi+U6e26SK64ot7F2zamfrffa5r1jiki4c+qsgWn0o9v3/hg5e900V8q5kPY6ZJfdgXi8bMHZQubM5tDO+9SuoxHZofuuGdLn792M617Q9SLxwS3nnU+HQx7taA8a7lUr86Y993x6elixsxjs1Wv5b6B72LHvSdny6eZbf9ulN3G+n680nm6NTo9/vT5DP9PV+pR3X/6ier+HTR8NENh5oIqW/aXme39Pt08Tbd6UeX7VLXeQYue5KeLjbZj8/K+kXqfllb7k7Ne/+6HFJ6T62RetYSnc+FE+nC3sN9xuj2H5i652TND17n3m+nYdKSKC+pW95yszlQkS621XnuvDlb6vH7jiz68P77/c+2r1++Serbg9r8sfHvdPFkh3Ne0HGp79k4UMia7BYxk9L+irwn9YW3P96tbrNbfPDlT/dL2tpK9y1PX1rc7rxb5H6w82jAYKkbxyXOHdd7t1C13pboNFPq0Vlvz/88cLfwP1qxy0Ur9Y1rPPq7ee8WJ9d93+rr41IfvHloYvq43eLWPxYNf92X+uvATi9spu0WtTNDdhywaS9d92JOTl4Rtlt8PPJepxwvqddu/KTw7293i1+a/Lz99lypB7ks7Bqyerc488p19MStUvd8uEJTnrhbDEmcFWBZLPWRU6fd8U7fLZr12/nghVHqaV2bex868H4/Ha179OjawdTPn4re0+PEbjGxxDhYO0rqF24etUg6u1uURkVN+PRbqbdrXjzbomK3mBN3M9kxS+pzLyaXLLq3WzQfHDhgxBWpf3huUO8HtbvFuHvdJuQ07WjqdxN0aybJMkTChQUOo92kXpZ5+eGZ1hlCPzjquOt0qS/MOf+FR+cMsX7eN4FjtVI/47xpb7ZzhnDbmdz9wEmpf3TQoUWngRki3vrDoWOeSX3y1QWha4ZniHfPh/zp8qGdqac6rT3zUpkh1qxy6TZqrNQT+s7rOTc4Q6Q++2jw3uVSH/itzcob8zKEy7Qvx47Mk7rl9uV3fb/NENlv36zrcVvqd7scHHp8VYa4+/d4e2+bTtLzN+zd2TcxQ3Sdvs5p93CpOy2e+Wb7rgzxIuRm+bCFUvcJuRdodSBDzLFf8WX3LKnX3XIuiCnMEAXJeWXe16XePPLj9k9+yxDL/96hzmplb+qle+u/nnotQ2gHx04b5SX1Zy3iLpyvyhBNoxPPyL+W+mqHS328ajNEl2Otfp+UIfVWc26t2v8uQ0x61zVXf03qQYv23+naeo/w9W22dF6rzqZedHaI10b7PeLI1n8WBAipX3mcsO1drz1CZeh5YPU3Uj8QvL1uwYA94tNOZSEvs6R+Mit0rGHYHuHwifPxHyqlfs63bq9SuUc0vP8zJaOdg6l3ODfE/Oepe0T+UX3tzRFS77vPO7j/vD3Cvi7cOShG6i3mWxbsitojHuVkZTkclLrl5vh2Nqv2iN+O7UpxrJa6IaV4buyWPaJHw5a+oV27mPqPzQt/qdXtEcrhh+L+9pf680nhDl/t3yMmqzzLTq2T+pqWf0T+fnyP6PyhyuPqKanv3dHk/PDf9og+Iyc96PdK6k823HbKv7pHFG8PaH62f1dTHz8lOsapao+48UfKqZw5Uu+3/NzviX/tEU1O+Q8v2yX1TxaV92n2bo8INj/x0+AbUv/2eOJ3C60yxSH/ll6PbD40dfVvrSrudcoUfqpvrG6NkvqdTp+6TuyVKR5edP2i00qpv+3hEHfaPVNUjPym67YiqQ+flX994LBMUTx78eHgeqmnjG/ycdbYTDHvXkGXAZ0cTX3QDLO4jlMzxc8rSh9PHSj1o62OVKyemyl+v7bpxt4JUm/9a9d+9Yszhbuz0zu7r6Ue1/TT70JXZorOR9PC922Q+onPml2p2JwpVKUOXtNzpX78dqzzF7pMEbHraOzgs1K/GvrjkqM/ZIrghdpxg6qlfnK49kLv45miMLbw5CSLj6TjWdX1o5SSTFHQZPKd7U5SX1AY9E3Lq5nC3Pm7C02HS3205xe/Rt/NFDeclds2Tpd67/K7HR4bM8Vz99uThEbqs/7uGzrlbaZIiB774Qc7pf6z5UdHz7XKEn49Dpu3KpL6qNhTLTw7ZYmgYHmXXn9Kffb5toG5PbPEKL/rS2c3SP3KRMscB/csYf9B6WelnbtJ99tr971MGJolepV3D/vyM6kPKq/3eTMmS4j9r7s3nSJ1v7RnW+cHZYmYE+FRV6Klfm/8xvt/zskS0zsnLytNkXr4lGvuYxZniWM3N4+qPib1BMczsUVxWSKjc3Sd8x//n+23DC5z3Zwl1t8N3bDhtdTfLt/eZefOLNH982jXTg7dTV1ZvWxu2x+yxJd+vz0s8ZT6oL3Njyw/liUmmH19ZcdUqTf0GtDUeCZLrJifYJG8TOqDf7MYq7qSJZZuGrj5yE6p3zAuSSm7kyVaLFi7vkEv9fZmifcUxvfH03x369l3pL542hj5j2+yxJlR23u9aOpk6pfn5kR/1CpbDPXaYMztIfVxK7OKN9lli5tlSUvjR0o9pO3nbcx6Zgvz5xfvrpkj9UuhsZMiPskW8h3+Hj+uk/ouY7DujiJb3DsotG9/kPqgZjeqx4/JFrmOubKIMqkPMP9b/suUbOF4Pj+t1d9S3+y7N+qTOdni9PbI5efa95Duo9wbTu5elC16zLco+NFD6vldHlvYxmWLE11XTi2aIvXrqoWj4zZli2drW638a5nUuwWkbKlLyxa2a/KHj0qXel3Q5Oshudki+EnK/nO/St2y5MeuV45miwfx129EPJR68F/pX31+Jluk9F73p6J1T+n1yl2yD5W/P84pZ88N6C/1Xn/41fS4ky3mpR88Nu5LqTfzMZcnPcsWGovgk4nfSv2vc+O+sXiTLXasfvD07Q6pjzvufnhRy73iwN05wdpTUr82J7f+fse9YsyVd92+eCD1iD4Fgyf12Cuuf1A8rrdVL1OfOXZSzBm3vcJvwqV38v5S79tnzYlBir1imvewYaqJUk9oNfpt1ui9IjSxv+uRJVLfMjzdy27KXhH05GjFgF1ST/oofll86F5x8Z9/Jlaelrpj3ZsT9Qv3iodKWVFOjdTbt2j6JnTFXhGc9ne3XTbOpr7qh6TPrmv3ikXRj1JOekj9z34F336RtlfULn032GKa1A9fmXXk6L69orPXaLuFK6X+z7Nddb2P7hU/+T0daZUr9eLTof1TTu8VNYPe3Dx3Werrdh+b37J8r5i/NrH2p5dSr72QtDf69l7hfe7C1mLH3tJ9mrah6tHTveLW0tN334yU+lr54w+nNOwVrbslPZ62QOoT6qYHnmuRI158ElD8KEnqDz5SJX7WMUfYufRakVYk9X5vq87vc8oRbsu7DFlyX+rjzz+zcHDLEZPSvmz+XZs+0v3S5eUiQeSIa88fPj8wUOrtxiUubvDLEUNq6xwtp0l9wFqXA2GBOWL4c23KmtVS9z458n7l7BxRHVIR5Z4n9R3yew6jF+aIT1PvlVlel/qfXcwnnIjNEcufXz5iYdZXuo79uju+nzZHWJ89Nsy1r9R3zfrlxI4dOWLmnCOrlvtLfcWQGbWt9+WItt3vJr9aKnXL1ct7LivIEUlDAzbszJL682X2gU9/zRGprfrHhF+S+nCV2/rg33PEyV9WL579WuquM0+fvGDIEZuzF32/toeLqXc5c+Uvr6c5Ir2u4+NrY6VeUjSt+4HXOWLWzZXrx0ZL3TLuK/8PW+wT3sk3Nv2VIfXnow1xGzvsE0uU8tZFF6X+cPyV/Hfd94m+/XfZHnol9bklQ6sW9N8nfFUjT1zt0c/UP73r9IHBa5/Y+c7z/zBdn+Fcf1EAwDMiKVJIhOzICKGIQ0mUQoRIZabIlswyi6wIGYlC9t7zt0gKKSmZlYhIRnb5e9X5v/089znfe+8599z73Sugh673wVdNVzsPKsRTNJJ80Ic+nHYkXMiD/k239Y5mo6vvjkw5eDUPBB+s6zF0o3O+OP4yzS0PdH4qmFFtksQ+xmH/e0dAHnQKHrsnKI4ep0jH5x+VBy+PHv7uYox+04xFeyYlDxaOHIqZDEJXKQq/aZ6bB9VcuskPStCjzTzSuqrygGYgk8NiEF0t7s1LteY8MHLT4b3EKPXPjQISZkvebnz3nQ0l+DA6je4rTv7hPBj9vpm71xq9br/dsZipPKhP0VAxjkVnlb95jXo1D7reHVOmIaL3p/2IctmSDzsdWKU+/fzf+AdtFV/Y8sHp2fWHDkwH//kPiZ195wTywSepkzdECL3hMXGddDAfDm/WoJQdReem+yggq5IPl9pMwhf10ZvvG5x8djoftDqSAvTs0DPPyV/fdSEf1mdjSogB6J98fcIDbfKBm+ONgGYSeo6UcOGcaz6Mcg59HSlBjw6V6bT0zwfpHu21hJfoB/PTpt9F5oMDf5aH+Wf0i1WOzOop+ZD63uOK2jI6a1uqZHlOPpwjnyUqsEj/81BqiTOCVfmQWV+VoS6Kvtlvj91DSj5ANLDZqqHvuWB5j/ZtPmhudeV+egHdqogh020oH+znB1/MOqO3JzMSRybzoYttB69JGPqpw7b9Biv5wCsbK/HxKfrOVJ5FCn0B3GD6/ce+Dv3mNwkWObYCOHWVlMTRjb4gFCeWyV8AZSt3mfom0RVv6h9nO1gALIFvLcs3y2D8yaumwcoFcLhaMjODB907pcvl96kCuKQjOpCngB6VHBVqbVwAe1fPsrfpoiespT15b10AVnbipuvX0One0laccC2AyDNnK08HottK1L6suFMAitpqMkUp6P68hAGhyAK4xhzTK1qJLl7NNhOXXAAXj7ZX1nWiO9LV0tDlFECu++1uq3F0D458tpuVBSBvKqcsRCP7zyNXJ4RHyQXAHua9urYX/UC9u4JhVwGUpAzumZRHH7U+fbJlsAAyxH48ndVFd6exM5SfLIDmVon0HXbodanvrLKWC4CbQZZXIxi9VDXIhZ2+ECa87orEPkH3m/G+HcJaCI9yqyiLNejW1TX3F/gKoYZPl8qtG701+WiCjVQhMFwdGKOfRpdOp3nac7QQzP/+CChjOIT3Rfv2fI1ThdBou2XgpiD6CwGTikqjQpAXbNp0DtCzn481CFsXws+8lCV1E/Rhk4rmeJdCOHBLolPHHT1dhfSa7s5GnL9/Il2i0cX0t7+7GVEIV4uTjhXkoX9KiPs4mlQIPH+j5tdb0BUZTQYMszfmqX+96PoX9IHcC59bKgohnbPSd+oPeohr7Ig8uRDEatav3dsjh/eXOd1Y1ptCyIp556ckh27iUPKdfbAQLOgbW+j00O/FxY6H/CiEULfT2hP26KTOvPGFpULQOLSFc/Qeujbb8ncbuiJ49PiO4krG/+KYeY317CqCG7Rq1cJE9JlUyW8afEUQWfP+sd0AOncn65dKySJI2frqd+syesOXA4PCR4tg97GCNhV2+X+e1O7SG69VBFrPt4i0y6DHBHx/R2dUBGf9rrG56aBnzN1vv2lVBMxbLqbJ2qN/ZrnYMupcBAoB9m8ZQ9Ed2o0aDW8XgbyISOVaJvoDNr+KlvAiOCLJYUhHRn/2sT1PPqkIhF+9qt8/jL6NViM96/nGuiQ75i3/oJsEfYtjryiCkeC8LdWcCvh+PpEXGkIqgvWVaWqhw+i7pON9FjqLILxc5GfuefRZ6UwHm4Ei6H0/2K3liv7k4IfLPRNF8NIvnUj1AH2d9YCuxlIRjL5abXxbiL79aydvH3UxnOnx/FD/Gn0TG+fuWIZiyCl7zkaYQP8VM7f99I5iOH6TJah/y2F8h3eY0tLsLoYB8eMSO0XQaxXPrdRyF8PrL61c5ifQb5zsmXYRLIbRJ5ImLy3Rm63HRsQOFIOH7aa5UwHom+mCe79Ib8xTue3XtzT0+YTC9qTDxfCci+PSxo8EvtvDLInnoBhk/rifsB1ELzjzrHyrRjEwf3Qs0fmDXnr2xnOSdjE0pj7I19175J/3rhISvfSLQUT1qpqdEnoc6fF9GZNiiHru4/XEBL2PmcZ34koxJNabWUx5oovq/rrx9GoxyFvG05xPRA+etrpk4lAMRd6ltj3V6F4Xrpzd6V4MCV+UU5w/onMuf1Zu8y6GNidKtvAS+p/D4+IBAcVwdbXr0e/div9cNdCdSzF0Y7z+7M1BBfQwtRCG2ahiuH+y5MxnI3SaAc7FnPhi8ElLEvnrgW7cKDNi/rgY4gUVmeUeoZPOtL/Zk1EMW+O5mEOq0Rdnx+u7cotBsKxNeuYj+iG2e9mhJcVgIf/O/+YyujrX81i16mIw7CEwsHMq/XNLOw2/5cZiyD3B292piG5jZ21b0lwMwrJeP56ZosffoTl37XUxPNYyM4nxQW9n3qfE964YfkoZHEh+jH7Jt1agt7cYNoVO2DY2ogtKvGV8MFwMVXN53GtD6P4BNnOaY8WwtlXQwIDq6D8/N3zz06afxVBsPcj+gh99Uw41sXq+GJLibZwM1NHtVBieO60WQ4C4pt2aNTotdVj4fuoS2FHKtLPpLnqJQZDz8JYSeFtwwjElB/1b/OL5R8wlcOjprYiHr9DD9389osteAuHbZT2eT6FzXdPg3sJdAlPXNim8Z1b+54FV+zYRBEpAW8L+A7cMuqKL8xcPsRJwfkll6W+ALr+oQJGSLoH3edoj6zfRJ5+5Zo4plMBL5Y/WiYnoxu8FQp6olIDuiNTsmXr06bGTNkYnSuDApqFY7iH0HIWhE8zaJdA25XR+C7UK9jHeccEX50rg7GZnNSYh9J+rVjS3L5RAQNJ1CylN9Amhc5/lr2zMc+07yc4OfXKxqPGnTQkYe3jcIEeiO7/yTc66UQL5uun28qXotsu1HpfcSoD91Uwb5T267icbfXbvEjATnI9xWEZnb7kj2eFfAkNxsp2y3PDPZVi3MITcK4FbBkphrGrocVxrX5SjSiAoOr5jhzV6kczF+t9xJTDo/iZrfyi6U5FIXEFKCfQdcOO+WIB+bMzshvWzElB4v005rwt9l9Rfde7cEuCOFtrBvoCu3ke/931xCbDWZeie3a76z4ngNRteVQKCHf6+T3jRx4sMWtUbS8AqdDr2rzR6ol/84zXKxr65yCbaqaMf/KviUv6qBG5uj40ZNUQPvnNGw/5tCXz9pB/seO1/8Q2JewR7S6D+Qt1NOh902beJk31DJWBNx2yfF4mec6ynMXZ0Y59NHl6/lI7OteQefXqqBDo6oj14y9HJarfMaeZLwPaD1qOfLejXHfql61ZKwHuM9u2rXnSN1+lUrlSlYOtIL1Y1ib4t58UbsS2lwDsQn1m8jv5D78yTL0ylwJ+ypFW9U+2fx+6SuZHEVgrubC57O4TQhRTdFc/tLYWyIk3+2cPoqizs9FsFSmGsg3hFUBt908iud0TRUqjt5h+wuoy+sHYj1fNgKSjuK0kpc0GXyRK4Jq1QCjRMpRk7QtDlRQ/JjiuXgtDS9RXvRPTNnalraeqlcECe79nvfHT2YYtm49OlwMLNmeFLQDfNuB2x41wpnFhPombtRlexnDdoNS6FHPFxcvUY+jNLAtedy6UQMqs1ZbeKPvzjy2cFm1IIT6YOkmA+9s871EyfT9uXwpCjccQffvSy3P32z11LYb48mqlfHt3Q7tTBy16lUFTwa9vLU+hTL5rm2P1L4UxSQwTlEvoB2nuVHXdLwab6aHyHC7q85dNbIZGl8P1Y2YGxEPRSESZFlbhS4HKx0WdK/t98YttWfieXQoJ38k71InTi957agqelcCwmweEeGf37VRkv65xS0Bt9Yt/3Af2RXv9h7uJSUM9cZlGeRG/59m6hu7IUepfHLQs2Hf/n7yw5ysMbSmHftsqr4mzoSVtznNQppXCR6hl/rSi6PUew+FpbKexe+51oqILO/CpvrKxrI797599S6aNXXd771O7jxvz9vrytu4rOuavHVGCoFAaO0j0J8kE/z/eRte9bKSg7Zhy9+ACdtoWvPWZyI1+i1CXHstAlj5YGnZorhXo/K6rDdegmjfeUqFdKwdNnh+zRN+iuIRkzNZvKQEHq9Gmdb+jf22mfO9OXAWfaBR3nFfTw9mxTUaYy8Hx/R/0pszrmqyGK+TNrGVS93XzwiyD63p5q0iOuMjB+JLFbWhF96YyAuy5/GcwKKK9H6qDPmnYIbxEtAzknz6lVK3Q++ZoPTVJlMOAmMubhhc608+tdD/kyKBMOn6GORq8RPK0gpVwGER6TLI8z0SOf/vo2erwMjhtGnNGoQ3dtehubeqoMagvLcv6+QS8v/KVqqFcGr69lHGgZRd/zTGtqu3EZmN7I+Jiyhv6+o/9R86UyUElZqgjYeeKf37fMOe5rXQbqPd9aPfajG8cUTh2yLwPppWJ2HxX0+vs/4iddyqChLzUjygC95PZlyPAsg2CjeY/S6+hpjxnGTO+UARcsxI3cQTdlHY/YdbcM5izGaYQT0KV2/pF9FVEG1tE7X9wsQO+kqPcGPCyD/AeVIz1kdPMLTb6KyWUwLMFpofEJ3WfNjm82fSP+/gD15l/ofJ+0KDnZZVByXPaBPr0GnjtuYxvzojKoVHI5M8ONfmo2jn5PZRk4vwr0Sz2E/tefOvtNfRnw5OaLmp5GT11IOXmPXAbk+9IGIhboFzytRqGtDGT4jGhoPNFbZYyDFt+UweJui6M/o9B/nfLgK/pQBracCbTjWeia44QGm8EyiOpUNJ9rQC89dOgCz7cyONL3wGj7e3Q//Tdz73+UwejA8KT8JLqV3cOIiNkyILnZCzvRnMT7K/228InlMqg44slQw4meyPmgcW29DLTIp5NZZNB9Vl6cL6crh6qM/Z89tdBzrAQm7baXQ/8Ng+GZK+hL3k/9BVjLQTFvV6rnLfQiC3X2Ps5yGPuWy8sSje6ruCU3hq8cMp9dul79HN1PcOroqf3lQLZxDXRsQj+qNttBJVUOAoUSTvIf0DOL2a/UyJXD8d9dctun0XfHXPjldLQcBMszeufoNDFftLW39x8vhwuXJ65M8KCnCikwDWuVw/zVsTe/5NF9d71JTtAthxilYUl6HXTqH4H7dYzK4Yz6njsSV9EftuqV010qh7rvPS8tb6OztR6GRqtyGL9vxpKbgE6gPfzS3a4cLkfMmG4qRj+WePachEs57ND6UGjTil76xPvTyK1yuLpbn3lgGD1MutE85XY5SJ3JCbBcRi+5yvZdP6Qc0pR4mFZYtP65m8mdG4wR5WBycKEyTQw9nO/vDCm2HPTd3QOMjqOzdke4eyWVw6jusDvPRfS4e5JL0unl0LzZO/63G/qywZDn+PNyWHgbOt4fgR5/9slKWmE5dM/punVnoYuH3fAyriiHzWmsR/ub0Pu5tJaZ68vBk3GPxvxH9IO7pT1ekMrByeZpwt5ZdK4owXm/l+VgPjAvd57xFJ67OH4n+TflwJhoIJwqiO6iLPZjqqccrjdudlhURm+KV7TOHCiHHAftneZG6Dal5wYvjpSD/At7jj4ndIM0Z0PWHxv1/Dk32DoMfcAxvv3VTDk0vDt1eVMGer0U4XjgUjk4FEXn5jWg7/o5Va24Xg6vAgj2Vz+gX67mkZjdXAE7jXnyZGfQHyTrpeVsq4AHcj+v72A8jffas+Cd5rsqgMLtVvJHEF1moCaQg7MCxJnnA1dV0G+cm5rr3FcBDrSlYwwX0NmZeC3vilTAgfmZz/td0Zk5z3apSG7E6Vr0MI5AT7ztqbJwqAL4wuiLHj1HNzyZllugVAH9DNbh40R0PU8im/WxCtirYMB2uh/9197+23u1KqBgnkOnYQGd4cj093c6FaDCt6iiyqKN77R3y7r3DSsgNEFm4t0B9LLZlapjZhVwSJLZ8JYGelfSDPeKZQW0VL25K2GO7vymP6DkegU0UtcFzXmjayXUjdo6V4BPL8u5tnh0n9lwrX23KkCDes/vkpL/+YhO3ge/CpADVtfc1+gHHGm2RQVXgObZk11lY+iU2Cw7jfAKODP+m7WD+sw//3HucNufmAoYbbY8vsyN/ii/SqQisQLC47rN5Y6gH0oTCLJPqwDnzeHuAQbobuLeQwLPKyCtsT1w2BE9SKfhSF/BRl6sBx7o3EfvpxuPiSmvgKzkvxmdWeiXdP5MaNVtrHfNjXSFhK4ttKxGRaqAPN6gaepBdNWgvoTq1grwTXSUrlxGV7n6bNKxswL2LHtFeLGd/eePW3VURXoqwPvl+BZdaXTOp0Mxg/0VoPtgPVv+DPrbSb2RuK8V8PXtuovkNXTF9MxDZyYqQGCbpL1CMPqBqt5A2pmN81LZnqiXjv5RaKqrbrECTp3kp/JtQO/+Osjj+rcCNkk5Pq/pRWcaK7gutrkSJnoXH9Av/G+84IWKz4yV8LFovdlmpw7W24Ohv492VgIra5vmB0l0Rn7Vk7p7KsHROon3wmn0b62ekfT7KuHw3zKdyavoQp73uxuFN/yQyWB0EPqIoNuemxKVUGj85o1GOnpKg4yZxKFK0Kq+IM7UiC54qOXJiGIlHEg+sjD6CT3/lsTnZLWN+auXyXYtohO9rvLpa1YC7wqtu81W3X9+RtT1yladSuhxVmWe4kCPdtFJJZ6vBJsMCTsfEfSD6qufbl2shHNiDvdZ5dF577uzH7SshObEZy4V6uiVsg26Y9cqITbEUeCyPnq6aFdoqtPGPgS4prFYoE8ZFRPPe1TCGy69yddO6EvZF5a2+VUCz3AOw4Pb6IF0ryUoQZVw5wLvqlkketYFOgvv+5Uwx6xPln2M/jqMPk4mphJ2hY5a7cxHb/bvaBl/VAnbNb2/LNeilwiZLKY9qYSC9lKViZfodGY5wsZZlaD3SNLn60f0zO11BswFG3UlEP342xh60d5I/5aySlgev5X5awG9zIGvwLe2EqLMw+Jp6fT++b0x1w+HiBt5X7d25WNDt7ketGnyxYbLFaicFETv79Xb/6yjEo67Uq26y6K37+47a/J+I4/CtHkFx9DdN/O6sfRXgkONod5PPXT7wL2PWr9UQszDpF8K5uhxzm9rb49XQii38/0wJ/TDRdAv/6sSwqq8BUdvo//gtFybWqgEDbJp46ko9JQYJa7MP5XwObXUtDoV/cHci8MXaatgUxbfumQhuiUn/fldjFVQLH0qr7ABnfbromMbSxXcfNRuodCOXrM/MdSfowpOS57Z/7Ifna9lPP0wbxWEqV//azmJLhr3vXpaqAo2i7WM0a+hczk+7MgSr4JpMeqxcsZz/zxCfPKLmWwVfIlu+nudC9098+dvVsUqGH76RFrsADp7SRL9a9Uq0Mk8HjCriE4jPL078GTVRv/RniOfQpf6NCGseLYKem5fvJtqgv7pafihGYMquP9ul1rAdfQ4g3eq2aZVMMjEKuDoha5Fbjh92aIKlm3/SlmHocuRTp1nv1YFJuxu162S0L8IeJq1O1ZBlyb7e/vc/42vPWkVdLMKgqRCXPxq0S0MK64p+VbB+wWrE4lt6NOthBuzgVUQ2qqv2/AJvfKzrVNOWBUkvZqLm5hAH3LMd77yoArOCY5y8K2i/1ALc979qApU5l/1XWHU/+d5QlROHalVcMBE43MOF7rid+YbwZlVIOCycGDtADqzYYXt0fyNOjnv22h0FP2H4i+LudIqyOD0Sa7XRh8xbzLNrakC+/exzWJm6GZxfPrmhCpoireGpzfQdz5h0+J4UQWt9jGMAn7oVJpJyp3tVfDBok68IBI92LjwYEh3FXj7+2eqPkHXeKTLr9xXBVc6gm8NFKErddzeOf+5Cq5rX8sOJKA/JyhS5X2vgrjV1wqyXej75O78NJ+uAtZePdHJz+ixv85+4lioArGhR7cLZ9FFqjIpnWsb52XzcWUvGoN/fl07sCCEphrWYcZKhxVd3HX0ofLWapi6o74sIYQeNtXuNb+jGnoqB9bY5NF/+xy+nLe7Gu63m7nQn0QX+yJ4zIKnGv4UWF+kNkaXG3ggsEeoGgRV4hvorqHbS/jRvDlQDUzm0Y9YvdC9Hnz/HCJTDW8W5qcP3Ec/9aKzUflINUT3W7Vop6CLhsskzUM1eEze4fEoQE9OYXbL06iGyj/jK7mN6L7l1toWZ6rBf0T10vdO9OVIWYE9BtWwxUX4tNRn9DujHkudJtVwx02JcnsWvctN+nWIeTWwV+173Utz/p9vmruUqmxbDT+pPKyV2dAv7Fl3mHeoBmHOoZhcYfR7T3ao5LlvrJe4bMh3GP3m0RhGC59qmKi6Wp6uhW6VFfCBI7Aa7KpfFhwwRX8bM5zeGVoNoj6EE0326DGVuddDoqthvnrS76IfekPzkLRyQjW48k2b0kSj17n6Lc49rgZVa9uhsnR0RdfgutyManh1cJnRoQxd9uacr3leNThIHBuRbkafknihwlFaDaZUI9fXe9BnTq3/6aiuhiSd2097vqNz+CbVBTdt7Gd1eUTVCnqwa4LH0ZZquPtBUOrpNsN/ntQ/Lz33uhq8TzqFxvOg77Ipmch5Vw26qQpPHh5E/1r/Kv3Kp2o46MjlmnIMXS/imNHuz9Ww+1Q9faEB+ngAK2PHWDXU1NVefmmD7qup2hD0sxqen6ny/XkLXeoe5YbS72rgDTlnxX0f3eTHk72zqxvf/S7ObvgYvZyz62U2dQ08mRuNe1SEvr/R0P0yQw1MCfKNjhDRf/tI8bLvqAGD394MSt3oCX8uvHjNXgMvPiVQJ4+iD37rvhHIXQNjJ9m6aZfR335K3akoWAOM+Q/v3GI0wnfFncqKX2I1oOBauXWBG93Km9PouXQNsNFxufseRL9z4+WC2eEaoGmzIDEdR9dYJj5khRpY3Cf5O+c8+j4CtfSrEzWQeI17h44terNF2Ct/7RoQWn/D9tcLXczfyOqwfg34HBnfUhWBHlFru/rzQg1w3qCb9ExDdymoj868UgO7frQSNcrQUxb1BC9erYHtVF3h3C3oe+RFKnc61IDmcqPO34/oCpuVNF661UAUp+z28R/o9zeFd9/2rgHV7PYXA3/Rf5I4zOUDauDoF8mAfhZjPL+jQz8m79XAEu2iyjdB9DDaYbdnUTVgodWyaUkBnVKxe+1CfA38GjnaxnoanSkm2H/H4xpIZVh9rHQJPfbg/s0vntXAp29pfvbO6DUif0N8c2sgIaPD4XkQusx2OvpDJTVw+Iag82QC+rS7SvBEVQ08tjx2TykPnWchkyq9cWPfslsrHzaiH+FT8jFqroGTRkbri13ov0LX5re/roFbYZFW1t/QT5C+21He1oCEEdN4/xL6VdO/w169NWDZeTPq0rYL/7z3m5KB9HANeFHZmkzwouvPPGkeG60BmSV/7Tuy6O+2icqlTtVARq2V7b6T6Ikt758azNeAjnZxcZsJOnd+BhPj6kbdFtDuv+2Azn/q4S0iVS1MfaTqUg5AzxJ/NuyxpRaCW08W0sWjfx/s1JBkroV4p5uk3hx0yx8ceSNstXCMJLGjqgH9Y5/P9uS9tTCSuz0ptQtd/cjKDT2BWpBirbSI/ob+9X7Ua3qxWmAZabEPX0aXNFUSbTxYCw1rQ7Ux203w3SWxFuimUAvZR9N1nvGhz4a+6RdTqQUfv1yJRjn0lPlK2c/qtSCSmGz0VQtdb7bgXsLpWiBeZn2z8xL6C7ryvjPnauFZenmitgv6ZPkLcdoLtXBKbG9VdAj6tN+Yd+3lWrAhTogNJaHDKMtLJ5ta6BEjLCoUoQfYnWAVuVELicJH9yWT0dMj75gNuNbCB6e/WVs+otd1EDNivWphkJgVeWcSXS6XfkLLvxaYOrp7qalM/3l2qq7Epnu18PvE/vtRbOg/9yc7VEbWgmiPaqawGDpn87cC+7hasBBpFGtVQb/9U/IHf0otWA8Cj5s+ei6vu3Dv01rYmmIdIGaLfvFt5eWonFqQ/9Nx4YcPevrt2fgTxRvrSuJ6XvkAveiJ8OvVylr4yvDDPjwLfUuu3npJQy3o9PUX2Nehm7C5HLSl1MK+lGh7ozfo8UYhl3le1YLa+8w87W/ow9/Cw7u7aqGKsf6G9gr6s0NBVWEfa+ESwaXCkPniP3eruj6sOlQL/E7Xgu0E0WU+q9AvftvIYywMhx1BHxVYP1AwWQsKaQ9by8+iD/3KOWs5Vwvzm7eojVuip1YrO+5ZqYVc6SPa+z3RByaqIzo31cGb+y8mnSPRHy7syQ2mr4P2W+eEWp6h/9K6TFFiqoMeY88lwRp0g3N3+2dY64DtXp9tZAf6VZ/o2edcdeByicOTegR9WtaT7hJ/HZClOg/4L6NvHwEOVtE6eHb6SeBWZrN/vrLwRaRNqg6C/ogEpgqiH+m5IndHvg6Sw7dIKCui+0xUqcor18FfpeHAUR30ouRRrcnjdeBw6mxYkjX6ku4P3aen6uDO7MyxC97oBU6U88Z6dXD/+vVi/gfoV644GTMZ18HDEcP3C1no3UFTxpRLdeAYaVj+vh596zFFIy/rjXk+2KLb9BZdatVA/6B9HWjt2pZX9h29bOfRM6MudXDl0KbW0r/o+yem1FM86+AWS1BOPeulf+7wxVbx3J06aCPJn+sSQw8xzZPYcrcO1C5WUX6poheXl/E0RtSB1VQGDZcR+gXtO9vdHtaBqX8qi+4NdKk7zCuiyXUwx3N8JioQfWvB5ZGh9DoIb5XO/JSIviDp+Douuw74fRgOHixGVzE/Wnq6qA40Za89jG5B101tjqOqrAPmr9Pdq/3oX4HBo6q+DuR8js47z6G/TN1seINcB98mpuZnGS5jP9lVIyPQVgdj7M96/fah887zbe99Uwc3v65ksCmgqz9S+Rb5oQ5MpB5eqDqDrnZ+e536YB10dW9fsbRCH78dHrkyUgdJOXShXN7oeva1l4t/1MGgHzfD4AP0qhtxkjazdXCGb8YnLxs9qodrlWu5DhaM940FNqH7LZ1u7lqvg8vjWqeu9qBfEhSMuEtXD04PtuWcn0I/lPv0nPL2eiAE0wSKUF/554d7m9nmdtXDM7rJkpzt6J/W7/dkc9bDhECUhfQe9EK7uYeX+OqhQ/ZofKMg+t1rK7qs++tBIezYWb2D6EYnnmxtk6yHslsz98eV0M+fGibelqsH37OPdO+eRO8h1d2UO1oPHsYhj8X00a8vSYn+OFYPIp+3ur27hP5KVqk3Tase6g66v/e/jj5a3xdiqFsPf8JZyXI30d9+YpbZZlQPl48cVpn2Rx989/4T0aweft6U0iyMQPedOuDvYVUP54O0vrgkol+w3yEkYVcP/Y/fb1fORD/50L/li3M9WP/hf72tBP1stq/1o1sb/ukOz5d69NQJauqzt+th/poKXUMrelwKcwpNSD0UDeYGPe5GJ/1Nl60Jr4ceW7bkwGH0r7rVrQ6x9SAh337KcfJ/6+rSNRVMqgcWF764K0vor5uu/ehNqwfbE+beRrTm/3zCiMoz6nk95PT0/dXfgV7Qw0Z7orAeOrWG9xnuRS/0yAxfKd+IQ2j4YrYfvcG9cGdxXT14XyCfsDuETtkqFW9Nqoc0adXTfqr/+66j0G6ul/UwaxE4H6+N7jsQFfemsx7oNvcfqzBGnw+zZwnpqYcl8USFXiv0mcKaMKWBerCYYuimdkZXv+1ONfO1HowNfffI+P7vuwdT3bMm6sHO/RjD1VD0zUvSY6Yz9ZBxPjsjPQ79K72UIctSPQSu/5n8nI5OGxtLavlbD1SeMV9FCtHpX5mJ+2xugODm8lDXWnTS8P1Y6W0N8Otb2TClBZ2fdu/S6M4GCP84OM71Dt3IaptJyp4GYE0Myro1hJ4mZVqjt68BSvbN7+77gX4nlo6dXqQBlq194PgS+r36bU71Eg0wctGep4TWAs9vj90L50MN8GFhZ6UgC7rdNv69IkoNkMrfRJ/Kja53T8KhX60BbF43sXKLobu4hjc80GyAhgHLwXR5dLWFo1tP6jRAjPKKtfhx9BOHlQ3WzjeA3Juu/Hod9ONX7ieXXGwAXY8j5ecuou98KDRsY9kAEyx3fH/aojcsMfDvvd4AZj7zDNHu6F6l8uZdTg1gFf3NRCEAPWEk53GIRwPQCz11HolEjysx/6Dk1wCZTJ46Ccnoe5UuMs0ENcBPnprfOtno0+kJx7LuN8BXwRJrpgp0WrqdbqYxDfBusijtLRHdNeTl0x2JDWCgSpud0oF+S62+o/lJA+iNrvnY96G7G3xf9MraqJOn3/cd+44+13ea52BBA+QpsMdx/0ZPmxtR+1bWAIctuz/9pbLEe7OyxCKptgGiPzvPfWNCX1QuvqNDbIAFO+Xht1zoVc8Gk2lbG2CoOvhp8370znXF8pqOBtjik6jUKIeeeY380uF9A1javMivP4ZOXHTvF+hvAEHhS4sEHfS3TbqTH780QI5N/t5XF9ELevSWI8YbIO7NJp6+a+gndD1ojv9qgFKG3LVfN9GLoWnr0kID0FUs1GwLQpeqEmEu+NMARBc5I8kH6DythTssaBvh+HD5+/Op6NSB55h3MzbC3kdk+cA8dN/FHYyvWRrhr3Sxd2U1+oVD32n8ORqh69jLzOlmdJ+TPctyvI3w8KJZpeQ79CXl3skJoUa4yVRX6DqMPicw3f9EvBGaRw5GN079b99o2dsMZBthxnb7ReZV9O6J0+UMio1wl+/JLpstVv+8cSgyuVG1EQ7FHKomsaGLT/bfdj3ZCI1Ke08LCaD/2X3IfP/ZRqBLyWiPOIjOez0GBgwagVpyr9qaMnre99+cMaaNQLrWleV0Gr3n0cU5DYtGuELZuemHMfqKH6V11bYR2Islz9rZoN9NPZBc7NgIfCmuMTOu6HtXoq5b32yEjnmpDl9/dNvYaXlO30bwFSil3hGFftxOc1NnYCPERGpKZ6egZ/o/agkMawS3RDVTjVz0pPcDoYcfNEJyxg//iSr0S9bsp6YSGsF7e1zWw2Z0NUlV+qepjRAuGd6m/g49V/wC0TCzEU5e5p1eGUY/dPHyLcb8jXXNp7BV/UQPqNIVJ5Q2QqiKPniuoVsdPjDgVtMIs+HRN9S2Wv/zpg+TYaKERqgVe5bOzIGeGhErN9jSCEpXevu/CqHz63EPxLQ3AsXFf1+jLPpdjnv+J7sbITFj/EaqGrpEbxf/2qdGGDl0pSVIBz327hKh+HMjvLgse8DZDP3k7hVT6++NoHWp5LGlHfpm7+65PdONcNlmP+9FT/RHGcH3On43wvfc0WKTu+gTQYycgWuNkG6qaHA5Dp1+m1W2Ak0TyGU6b73+DH2naITsJEMTCJd86vYqQVdvC6pL29EEXzLJ5Q+a0Ff7NVXP726C/CyvvMJ29KIzH4gMPE2Q9e5MbVcf+ji9pGqjYBO80rr/ZWUc3WThVJ3LgSb4xe8vJLaE3kwtLisi0wT17r5Bl+lscP7snc/7DjdB3vmOTcms6DwcMnuioQmY3hGT+/nROX6du6uu0QQ0q5mGgtLo4kFSs0vaTeD2oVXGBdATapovFOg3wW7HW9ItZ9Ab3HY1mps0gVMztcG+i+h7E9l52c2bgPypIvnOdXRgaPdpu9oEPPlDDGO30HuzDn3wc2gCfdmOJ/p30Z+fOy0p694Eszadl1ri0KMnmQLGvJvgrKK0JmSg++r7vk0OaAKHx2pmjaXo/tYPeXVDm4Df9+yT40T0lnW9a7TRTfCNlMnc2Ynu/besqDq+CeYM4oquDKJTKVfP2j9ugsPsdneWJtGb4i7K8GU0ge6oW2D8Krr8l1SH97lNcD99U63i1qsYZ9XneWhJE3zfd1HoGwd6Z9V8v3J1E7Aovm+JE0G/Pk3DPNvYBMZNNU+05dFzPbKVs5qboPa2UQnDCfQQoWFbk9dN8Eljbe21PjpDe3Y007smWO7/HRhvga6ttqmC1NsE1PQxJ22c0cMMRt7fHG6CWyE8WkfvoDN+PDcnNtYE/nvGQzmi0A+maG0fmmqCPi9gXH2Mfs2pRSB2vgmGzB07vuajawi8kD+5uhE/oKX7bd3/4hAFn/3ZRIADETG8rW3oCgVCOUa0BGCS4ism96I/UrIuKKEnwEsWwt3m7+gUvS9FjIwEiO6rf96+iF7cnVxszUQAXilrln46238+lB1d1MRCgBd5dC2/2NBNS5vy97ARwGjqZwujEHptt0i2KwcBhMLt2CQOoXPMvUhv5yIAC3dbqcFxdN5fqYkivARwlDZOCziHTlWYF+XPTwBhI8uhSnP0m0xTgX1CBAjmOOI844ROmTW/KSdKAKs1YSOZO+gVSgxXo8QJsC3EK8YzCv3py8/nx6UIAHL+gi9S0W19Jo4dlyXAoZB7TFyF6A6y/JKP5QkQMTOg596AntN+d/fiEQLYTXZMv3+NHibKua6rTACt79njR/vRuYQ+juSqEoBbv0Y198f/9vkxoZVWnQBKCWcWuFfRp5ze5l46ubEurjLGR1uv/fMBr233q08RgHhMIYCDE/19wo1rO88S4I29iOkTUXSvZ/Mn7PUI4P37TYL4EXQ6z7R9LQYEYJDzP0LQRJecc1zmNSYA651gNRNj9COT5m88TQmQJHKgZOUq+qSye+a7SwSYuNUUmu6BnkrMviVhQYDnDVGvz95FF9Jd1bprvVGfSuNe1AnoX4l2ez7bbsSX2xNfn4VO+Lk0qmhPgIJxe17fSnTxwvTSh44EGI2R5lBvQef6YOXz04UAzrbl/iw96EyqauqaNwlQ8/iY2bdv6PRNclufehLA30I0v+k3eoyoWseqDwHqvlQ4pm2+jv3NwCL6/B0CZGjI5dxlQxdje6RbFEiA8tL5C+5C6DMqn5kY7hIg7aRa4DU59NrMo68swghgyG8rbHUCvWhvTnB9BAGWTSvVrc+j370ppML+gADfGDyH7K3R3YKL5x0fEiBL+c+ilzu6IpdWzsuEjTi00VFRwejcDD9NBZIJ8Oqa3/PcOPRR3tRtvqkEEHdhU3ud+T+XMq7rSSeAzb6nZvMV6HNbuGwPZhLgvYvzX/4W9Gte33aGZRNgu9UbQeMedFH9yrqveQSommB8GzuKnmwebqFcRIDMZSf6ngX0XFcb+oRSAjTd1m7hobfDe8rweO6vio34tj+YHXajj3/gO32qhgCFiUnfyCLo4eRNE8/qCTC4mKW57zB68bfBkD9NhI0+bKYYqIn+iaGOz4i8Uf9lW+snjdHZVmNri1sIME5a7bh4Df1XoK3e1jYCfLTydXvniX7bQWHUsp0AV2z7C3TD0I2D1m81vCEAW6K1T3cSemJkE8PubgKENlp/vpSH/vX8zUdOHwhwOkV0cLoO/cJTfqG2TwRYnfnjevc1+nMlcpHAIAEkvaUyhAbQF78bHvb9TACP6a1ObVPoq079jT0jBLhMPfDR/e//9jPx3PGD3wngZjk7JMJs/889RaubQ38QQKwxIWSYF318hFHj608CzNXs6XhyEH0hWptydJYAIiuUKms19JGZW6rxvwnAyTOqLnMO3edVVO30EgHWCS9vbrZEp/0cJaO1RoDfnvVnh1zRtX97ZD9dJwBj/9aOpiD0Z20ae9eoiSB8k2ohKw59mH814jwdETjfTb54mIV+vin2TyEDEWI995wIrULvvcJst2X7xvjJdw5BreidL+x7zHcQgSvHViOkF52pPBfqdhGhXUywPXIC/e/IiyzW3UTQGDtHm7qK7r2HzOjASQQnXbWpsm03sG8wJzu84CbCpm6l0Dfc6MdDznbu4yOCX19k75wk+tCRfgkvQSIovQ4Z4lZFLxw7FvZOhAj69E4pZ/XQ+bT9R8QPECFvPJ4lxAJdUCD+aIgkEb6+OqlKcUWX2H8nZkiaCPbUnaIMweiS7Cqjh+U2fOBWp0E8eurzDoWYw0R4nf1A5vlzdIf4g3d/KG3kJd/aYFMNOk+KRbc6EOGTmJr8lbb/xXG25E09RoRpS6felj50l05p28UTRJCMATg0hR5543WhrhYRqCZXbLP/orvSyMzlaBMh4tlPI4EdDvg+1zSXo9ElQuKozfZMPvRts8buF/WJkDpYFCYhi65StbuswpAIZcVsXfXq6LJnUn4ymRDhse/I53OG6D9sv4nYmhGh1Ny2cfoq+kTjzCXiFSL8cZu6GuuJfpCGEMtpRQTmV01DyvfRlcbPtrheJYKI6wGR6RT0HYKPF15fJwLDLR94XoguY5MjKOxABN7hv6I2BPQMcxfd285EOF/wd+zAW/TPLxY8P7oRQW7ghdfSV/Q5Lbl06VtEaLbN+vrqN7rhI/GWMG8i5KuPCmTRO2L9W/Z9/+pHBDrzd0fv7kFPvKDKoBywUbc5NVKOB9BXxExE4oOJoLz52x8zZfSiYJHj0/eIMGWYnq2vg161+/lFzXAi1PkoSuuao0dFfnBNj9o4X7prj/Rd0eUSqu6txBChIEvms1kwuvDgiWT9eCIE6IoyOiagmzL75+UnEuHVHnGOuzno2j1XazY/JsL6yxCGrDr0xYElyqU0IqwJBA+/akdvfyPTUfWMCByjLqlLQ+itxqzvdzzfyFdbsrr4LLoxb0rvtVwieJCErstSO/1z5/bWPlIBEbK+2ogYMKKHMCb2cZUQ4Q5PlcktVnR/f8Zet3IiZGvU06Zxo7/r4eluryKCncRe4VfC6JalXa+F64jwIt2naVkKPaWWn3y7kQhmToFdB46g28TtqPpIJEKwZc9F82Po3N8Ts6WbiSBznMsi6TR6gVFDQlgrETa/X/zcY4B+455n0NdXRFDvZxlgv4QOPO0ORzs3+sAeZgOTq+i36isN494SwVA77mS6E/rvzXJHf74nwjepU9U/PNFpHmvwnuwlgonfu6wjgeieAhPrT/qJwD/ds+t+OPpTRZ7BpSEinFFYWR+KQz8d+LlG7+tGnTB8tTv8BL36sUxs7igRtrArGD/MRi8T3XGdZoIIjVtTmudK/jf/llsqF6eIwB1bVW5Yh/5ip92Oil9EkDKWEm6goH/M/za0fX6j/2zK4RTp+F++ZMbybRaJkHawLebhB/RHqg4eTStEoAk7HLX5M/p+N0/g+EsEgfzEHV4T6IrX6Dc7U5FgWjZ29+wculcde+tLWhJ8q2vLuPEHnZYu6x7/FhLs6P9WPUnnjOO/lml4M5KAVizMwHEH+uyUCnU3EwkmDpvd+r0Hna7pRJ34ThLYJtIK3RZAb5pucQ5mI0F5r5DpNgn0Mg6i0CAHCe4F23A9lkcf6pL5IL+XBCLC9jbSquivSzlDonhJoH+s/+hLLXS3cx4y3/lJcP7SxSdW+uh6J0/2qwqTYGb1QSSNGbqRSGhgoigJ3JL4GbNs/reuu0r7Z8VJ8LSyjE3bCX3734ttpw6SgNg2UfjbE30Lz+S1Z7IkiD5748PTQPRm7zG6NXkSnKoajtKPQH+ceybdQJEE6R4TH+kT0E2VuY8UKJOgYV2qrCkN3bDFoGOzGgk0Gwx5vXPRz3yYvXJJnQSnuWh5FMvR71It/Ko8SQLTgIGitQb0+vcX/ZhPk8De+N570gt0vhEhBtuzJJjclBsV3oV+rV7nAUGPBBX9Y4MX+tArpz6y7zlPApZTY2Sxb+hFdIREZ+ON8RlnYP0n+o04Gs42UxI0niDofVhCvyfyNIH/MglqAkdWS6ld/jnjqaSd3hYkeFR6WSVmG3pA6ETYO2sSFAp82OPOjj7m/GCT+DUSEIR+RZruQ6+LjHANsifBd1rd1BNi6D+vD3ztdyRB2dYUTdlD6BPRt/XkXEmw6usZKaiCHhfmUh9xkwTbn0U47dFEP/25XHDUkwQhdb7TLOfQR7hPhKn4ksCObpqR6SJ6fivfVPwdEuwkhLRst0G3u6Z1ZjqQBNL8E7wsTujmd2tzT94lQbdlIweHF/qxHNfNaWEkuFyTXcIfhK583tVsKYIEkQZnfxyMRF/fUV2q+4AE16wMWo49Qn9irro55yEJDNmuHDd+il7/aut5qkckoHrAbumcj37pHdvTC8kkuPF3r3BkJfqOtcuTJakk+OHPEVFIQH/TOia79SkJdikXPnrbhs5cn3fLIpMEXWcDtVa60QlGubW12SQ49+5omtDQ/9bL/WV5Z/5GXxq5/dhgHP1mhJ68XREJ3iTMqN2dQ8/dv+hILiVBLLVCZMMf9OcOXVlclSR4Lvc7YJHe9Z+XDg5+cq0hQTx07ZPbiX57kXvb63oSSIo72d7ci66sEKEoSCCBH62HSZ0w+gOuAzY+ZBK87QhbpJFGT+BbiOxuIUFxpK6qrhL6YPNkuXgbCfrVb8ilnUB3DNr+Mah9Iy/TwR/mdNA7Phou9b8hgV4oiJw2QR9VfsEm100CBUYQyrJCF5U0OxjxYeO710Xf0jqiuwns1vz2iQRhSc8kr3qi8yXMXVQe3MhL2Dml9kD0ZaoZh7jPJKjf37ckH4mu1r/db2pko59f+nI14xF60WPNsBPfN/oS6/ZQtmfozg1PYh//IIGG5CazsIL/zbOUJen3TxJERF4Zoa5G/zWT8vjMLAmUWd/x3iahG85CauZvEkQlrzGvv0Y32b+c/GeJBF/++FcEfEB33/Ii/vwaCVpZtrBs/YIeS5cdWbBOgpFcWYG4SfTd8UmBm2nIwJSUMymwiP5B9LG7GR0ZRAqYHCqp3P45z6FCqwoGMmgU0Wdrb0MvEn6tu307GSJtjySPsqPXuPw+Yr1jY3yqpmYQH/rovf37GnaR4c3OT0VC4uhGvZY0bLvJ8CQ45m2bPHrSu8yv9pxk0CxjL3FVQ68enSRQuMlw/Tyj9j5tdEF/heS9fGQg8bNlvDFEf78jyMVNkAwcnR9rgszRhWi6NF6LkOEU42rEUXv0H5S9HIIHyKASvI9v6Sa6O8l61FuSDItjU65V/ui3ruaWvJMmg3Mf/V2vcHRx3nHPA3JkoNDuMlVLQJc22AeBh8lAQ1f+i/Ep+mOns1R9SmQw8IvS/JSPvjrgTJABMvQxnLLMr0I/tTnUJ+wYGVrU7qkFkP43/myM3JcTZDhe//OraTv6FH/4jyNaZAjaxn/6yEd03+9uqQ+0yVBBavHg/IruRHf67LgOGbbZ+19fn0Kn/bptVVWfDHkxCwLfl/6X36/VGY8MydDU0JbRTeP+zxUczpz+dYEMV52fTlGY0CNGW3+eNCNDrST/evUe9Kli0agnV8jQ6vqzt1gQvf2gg/iiJRke1OX55Uuhc7582HL2KhlY/P5O5SmiS/Ynm2VdJ4PUwfv7i06gf3rlP/PnBhnIxxckK3XRzZbVA847k+GhyAgV0RT9WvNX5gI3Mpw/uZzeaYPOH30xifYWGQoZPzF/cUbnrSngu+hNBp5PYtpLPuiWT95nlvmRYS9btNHOe/+Ln/5WmDFgox72FsocjEXn4n6WYRFMBsbTooN6qejdjid4a++RwWQ108QjB/3yQlU8SzgZpgNas9PK0Ve2LW+9FkWGskNyL9ub0PWY6X0IMWQwvxJd/7cNPdR4eHx3PBmSzvkFyvagHzgeaOCYuFGHBs947D+jK4n+rGtJIcPNgmeR2ZPo+6149/GkkSH+iUD390X0j9ps/u7PyKBm92JanObmP09U6hh8nUWGM2dkv7gxoUvd0zwimEsG69uM+YQ96O2hAdHeBWSgOzx/ZocQOnuC18jbYjL45T5otTyIvpdOSk6snAzjdPf21imhW4qnBvhXkUHcy/sU+0n0gUstrz/WkuGvxA5993PoUzOZuw42kqFfc0L+oxm69RElo7tEMjD8LFhQuYYeei8oYZBChhjl9ZgcN3Q6mTvdcq1kOGkQsI3jDjrVPXGmiFdkaDjdZxl2H31L/131kQ4yqCsWJm5KQOe+He2h9JYM8zJPCr2eohcQ1Z/HvCdD2olzz5YK0B/OPX03/pEM7/3sbnnVoPNb5ayp9m/kdyxSclMz+g4LQ/5HQ2SoC7nSEvoGPUwpW336CxkOXApS3d2PLqry2FJjlAzJN1IfZ4+hz1fK3n48vnEeS84NKs+hW8xeS5ifJAOR7wTNh7/oxkdV8k//IkNP+Z7tbls9/rnIcGHD0zkyPL/otsbKjv5wf+2r5YWNPr9luauGD/3l5Us9uitkqHp6OtJCAv1aZ+LA8z8b9wXrDhnmI+jehOuf/26iwJ7jEw1N6ui+3p2fz9NSQIvZT8ZNF11fs2Uwn54CvkaO0eIX0c85nPlIw0iB8AXzj9+voqsesuwwYaLAGHl5a44r+snhzcQSFgpkxH7af+M2+tZq2eItbBRwl8+WkbuPHrPpR/JlDgrkeNKJUiWgG/4VDarkooC4SOK2rqfoyr9/2m7npcDtzbSDGYXoj/YfPmXFTwHih4nHPrXoYn00++uEKJBuNqNt3ILOoaNLvVOUAlf1634ovEWnauHqtRWnwKjzpBfXIPr3O1b5TVIUiHbYv0o9gX6CsN+HXZYC+qs7b/z8jf6TbKN5Q54CdS06XQNUt/AeebWXhXKEAh+9A/Z3bUd/w6rVw6lMgeOks66te9C/DY4nOKtSgF/FuJQshL5u8+d863EK7I0+NkqSRued8N/Be5ICFudLmFuU0XMz3F+4n6JAloimVLsWuufbHq/XZzbiPM498fE8ekvhMzEBPQq4afroj5mjH3P71ONpQIGv1VcurNxApzbzvP3GiAK7vFaNWLzQQ5/6CYqYUkCU9ZeOeAg6xfd7s+8lCrxm/KJ2OgZ9l0iFZbc5BZi/uEk6pKJL93z5I2ZNgTus2uxxuejGJMeH/rYb8+dmXGmqROfhNxH5aEcBY5fzn36S0O8eSKuUdKQA+92OKr5OdCZW1WPBLht10rYn1rgPPXDH4bY+dwrUZn+yjx1DP3w+5KyMJwXCQstPvJ1Df88m2nnPhwLJXad42DZ5/nOfYB7todsU+PFZddF0G3pJj1WzXCAF3uxW7MriQL+qtKIYHkIBlvbe/N+C6Esj/flfQjf2zYgcpimNLkrLyHUkggL3tibZPVFGF3kZEBwVTQGBQ1S6K1roMZbHJr/FUqCPN+XwBcP/fZdaU+doAgVOsTEJ11ugc3Q/KIxJooC18QqHgCO6Jx3P1vHHFHAQpd0Z6Y3+qmXCHNIpQNfcwfLnLnqd2kJFXMbGfKz+cDg9RDd9pkI3+ZwCNEdl94+l/W/+u0nnjuVRQN1vl6pFATpdq1/yo0IKNBmrmX+uQdcadhn+WbLRT35fDrdqQc8OTeE7UUEBb++dpB9v0TWmli8lV1NgZdsatccQeq5s6KOZOgpIvGzSoZtEfx2k2XGyiQJ2rzblJC6h02+R35RKooDyAQtm6c1eeK+N6EjON2/U7VpI4GsW9GPw0PjUSwpo6uyks+dBpwOq22mvKTAh9TyB+QC6/Za49IVOCsxkfT9cpYD+sekMQfvdRp+s8ZywUEffGyra97SHAqlX/+Tv1EO/fld4dql3Yz5F7P4tZujXBo5t1hmgAITZXvW7js5Z4MOaOUyBoKm4K4oe6NO73/KufqUA9yu1GyuB6I0qaiJ6Yxvnl4U5sjEavVmtVez5BAUic9LIIY/Ri1Stxf5MUWDOK5FJPxc90IRdWH9mo86vpjgKVKFXF/Ry58xTgHJWe2yRjH7QuIBlfZECZVu1b755gy7sEUV1fpUCcS4q3AUD6GdF/KZy/26clwst/RET6KVBHu83UTdDc2RIhcsieleuZ43h5mYoGeDLNqX1xn5SHpCYv6UZyNuVKjRZ0Lnro92ptzVD3Be3gSM86Gp96WeMmZvhLZcLn9QBdOoD5XyFO5tBw/29//7D6F/JzTM07M3wKkttXegEekNDd8OFPc1gaHUhSeQcer/UUHDR3maYMGvSl7iMPnXwq9bmfc2QCOziCvboNB8GGUwFmiG4ZJPgCU/0RwpvmouFm6HPiO+oUQh6xNUKXzqxZvj0ltP9Riy6sHe49EWJZmhojOq8m4bOEqL/ueRgM7wv49fOKkC/nLwlgv5QM1zVuPmjtRY9uD3nkJnCxnrpJAqnX6BbSsp9LFVshrP+4w8536MrdGZ7bFHZ2DeVs2laX9Dz/2O6PuOpbMMAgJOV0EBpSSmEVEJG4zKLzCgzM6MSWYmiQpSRrBaKkKIhJCErnb0JpVBGRgshZfSeT+/l6//3/O5zPde6n9OwQMJFjwB/GmfZET/Rm8X1issNuXEmZSo8n0EXa3XfI2xMAPZqUsFP4Qj8nllxlO5iSoCAPjmTbVLoT/v07Z5bEIDh7LA8eBP6sPm/TmFrAiz+zbeoRhX9n8sNN9fDBDBZS1YQAnS7TYLdz+0JcFnD+JSdGfqbIjOHRUcI0Fgo//mRA3rYXx+Wqys3nyyB8/w+6Is22OpVeBAgXfTKPvcQ9HCF5SWLvAnw7LnlrtdR6IpS+SvdjhOAuObfEYVr6O+mZiMrThLAIVXrcUo2etXbjd2LAghAcburOFeEbl0mvtstmACunObWU5XoN2+RMypCCaAlH1ba/wa986rB0KKzBHC+u73WtRm952aUtlskAe6F3P3T2Y1eW3MxtuIiARq6j/q4fUcfnd3LWHSJALvFNwoN/EX39Khe6naZABd0zr8PXBj5vzt8G7GsSCBATbRUN88K9At3PyUsSibA+NLUlRkb0XvOXm50TSUAj9DVOGVV9Mno3l/PMwhwMfqJImkvelLl2IZFtwgwlJ2xwMcMvWtlualrFgG8ffuWiTiixxXKBj6/SwDBf3vty33QY1whTTiPe77nvjbX0+jb9IVKXO4TwKsgO2lpDPohszBS+UMCzLzuPUdIQRc/l/Jh4WMCWDXUFpy/iz5KNf/qXEKAbbfoQrsfo3/SfDpZVkYACf2y+7NV6HK1JbNCLwhgVLr0QhMJPfiwFY9zFQFK3sZnXG1Ff/f36lzpK+573az/4tSLTin0nhJsIMCDLpvQraPoUtbvvjs1ESD36qCBwD/02fFPXc+I3DmNkrH6JHoe98nl8zQBKgGOZmRm1a9GN/33tNyRQYAXmdPy+ZvRFx0KuFnCJkCoV99Ywk504XMNofxvCbCicfJfqCG6z/E7Bx3aCfDw9FsLH2v0fAmBzU87CNC7T+aTkxv6Pb+JPwu6CCA7Hvb8kD96zomTJLvPBPDQiqEfjEA3mPVJedxHAB1q92abBPQUqS+HeAcJ8MlpO9X+FvqP4j5J268EkMlaUepRiC790J1d/IN7vqp6V8Dz+XlwvPxvlAD3m5SsY16jT+UwtQ9NEODMWJZYJntePsOrBx5OEWDOQXFZRRd6V9ja1Nlpbj+nhji//YYucHVMw/ofASJUZH79/ot+LU+nrXABEWJrqM0ywhf+96H7Y4HTAkRwIK6cNZVCb4teKWwlTIT3LcVBEXLoVzYVZxWIEsHTS1a9VA39wun7in+WEOHb7/X6w3roxa4Ly80liMDhM76jYIVuRWdr5q0gguCs1r7jLuirCmYqJ1cRYcT6+p6Sk+hirHg1U2kiBAXMxfw5i56hHlqcs54IgzXLVxvHo4fW1K8d30gEpZsRPFk30dtNPBOMFYgQ7fpWc+w+ui7B/Ve2EhGK/OoazJ+jp4i/sBtVIULb8o9ZT16jL13hWmmkSoT7D5iUZRx0t3JH8Ux1Isj6a5qe7UaPYRQe+6FJhMaSyvUD3+fFs0+vWn8XEY4/HTlgP4O+nnez0M29RChp0ev3Frj4v5/utLf8qseNc2ghO18U3eEVJw2MiCCntu5LjwT6vcgUTroxEXr3NytsWoMez5MuMmhKBMPa09d9ZNGLNrbr7rbk1lfeYdsTRfSJN46BKdZE4JNkTIxvR3/duOZO32EipEnKDu3VQq+blHqj5UAElecPhRMBfQ7MvyQdIcLtiFK79/vQv4VV8X12JYLRRFKLogX64QjHtRpHibAvPzEy4jC666at2+O9ieAsPHeYcwT9+oEd0HmcCF8fqDtv9kRvJXmaqPoRYXrmQnqUL7pPSJNFbAARdC5t//MxCL1XwczyfTARfr+4kaxzFt2sauaAyhlunkX5DmVGzcvPXLNe1Fki2EwRTGauoN9g0tVaI4nw8vu2ALcUdKPZgfWKUUTYcCSVRLyJ7ucqKxx5iQj/nulYbctB7yKHf2NfJsIRu4hFmYXz8i/6jbopkQidlYWTgk/R786GFoQlE4GotWh5aAW6nd/KcHoqEX7u+e018Ap9swrTeP11IjA21w05vkEvEbshEXKLCMfsS3LZNPS+Lr/3pCwiuCquSTRuQV8TYJO5Joeb/4mDRa870PlSDG1P5RGhZXnB9N4e9AeiINZ0nwjBXe7RtUPooeW69SuKuHnL+7Bn7yi68sH9J088JoJ8ufvWxql5/VNqJVlXQoQ3zoaH9vFE/e877jlWLisnguaPlhKGEHrrkMdhrxfc+X3ipme3BF3I1ufHyyoikHt0hHtXoB8q8YoWrSVCD6dMKHAd+qM6p2VuDdy5frVyD688uqnZ/qzyJiJU97wqSldBb5ORXy9EIsKziz/NN2ug7+eZzHGkEoGfw6NUvxv9V/nz1U8ZRMgX0dtrb4iexOOWwsshwgJvnsRfpugyjyZ4Dr8lgrjEtaWpNuhiYcEnH7YTwdRgD2u7E/pa5fbm6Q4iFG9yIjV7oHteXqdu2UWEgh6tP6En0F0s96fkfSaCRqG8l3QQeoeh5cBEHxHeXg8RIYaj8ymqa5sMEiG8NehbQBS6/atfsdlfiZAaF7hwXTz667pExs8fRBAjN7gyUtCDf/5ZYjBGBMsXz8bO30JfILbb/MYEd359Uxt35KI7tFrGDk1x53SujD74AL1RQO3l7hkidMV4Sd4rQf/o2Nt/7R8RHiz+c8upEv1uisvi3gUk0Hla67iyHv2oR57qTkESNJ3ic2wnonMSHlvGC5Pgk/Pqm7eY6GNNZ499FCVB7kVr8SNt6PKkRRHblpIgqnOatqELfZO5Y0K0BAmCzni/Geqf976LfdJbV5Cg2aJnuvw7ukLj1pubV5PA270+6OIEuqN0yfVz0lwvNle0nEWveNefzFxPggDZTpn1AtH/e/lDdvSGTSSIr6+1/SWKvkbfLzBEgQSKp4FJlpznDlWOJCUSbFIvi8tdi77lXtne1VtJ8HzY6+LZTegqDFtpP1USxF0qrrHdgm58LX+yXp0EWcMsLQ11dLHbN6jiWiRw4pOfWr4b3TZL5bbXLhJcL5v5M2WA7rrP2+PlXhKEvM/f22WKXmGyV15EnwQxtr5Egg26yaHyPmcjEhQJ5KeWOKHbSDbdeWZMgu0NmblZR9GDNX0P8pmR4OWRvF/xvuipJ4r+HbYkwd4S4cSzwejTDucePrQmwcr49T5+59AtSrtMpw+T4M/LnVc8YtAvrOEMmTuQoHdR9g+HRPRefavo3CMk0DTOzbRJR5fkOCz/5UqCfM30JMss9JWnvuYZHSXBjjtv3pjno+8mLFC+5U0CLZ1LBhaP0Leeu/Nk+DgJjjI2CB8sRx/VrFLa40eCR+Lfl9vWoLfds8m7FkACtyaNE85N6GkuJyR7gkkgecNU0IeGriwxfVH9DAnK9p4fDmpB/3OUbzDuLAlO+ktLRX2Y14fjF03eR5KgqiUsKbUX3eVY4H3lKBIcW/3pQMFXdHv35unISySI/ppnXfUL3S3qnhn7Mglcvy8tYE+jnz7+8aZsIrffmsJhmC8G56v6YmdIMgnWLFGRExRFrxVPkialkoDH/+zhTZLoT8Vn7FZdJ0HFuVK24Vp0fXtmku8tbh3ZG276bELfHMXzqjaLBKF8a4qStqCfUUrpX5LD7efCb4LP1dFTR84Ke+Rx+/PAl2edu9GVT9UpPL9PAttIuwfCRuhH9Ox1BYtIcIFybVjTHD2Gd5+N/WMS7K7sOnvsMLqrSaxbcQk3Tlq6fZYz+kSpxLGZMhIsSJiLYXuhV7T8OG7xggR2gf6zQv7oB/dJeudWcc+Z20HQC0Vvy406MvaKu68eZ32IPI9eHK5ubthAgtix37qv4tDjvJW0bjSRINXw5sRMMrr/jJv0IJEEryQpf+AmOpPVOqNNJcEs56N5bA66eUhcWyKDBKcHN4zRH6ALRAYUd7JJENE48GXFM3TDiNSwbW9JkNgUueXoS3Qi34BuVDsJrKzVmkob0JMK/PlaOrj7nGn3aAEFffSHXMOmLhIE39DpP8xBfxC06EzoZxJM8CsHPnqP/rhu1WZyHwn8g8Is+XrQbd0PtqwaJIGletBF52F0y8GnYb5fSbD1jg9/9Rh6+qdtK2t/kOD1zIMPK6fRw9o4pYvHSDCUEy14lu/S/37rcJqR2wQJbrP3xXaKoE8M+reUTpHgR6uBvYEkestqLye+GRJsGCdfeLQWvTkkqPPQPxJcPik3s1wOve9ChkPhAjKkRj5kRKugm78hs34LkIHqcW98VAO9gCKqayJMhveHXAOP7kVnrXApzhQlw9l4VcP2fegSO6oXf1tChktqPn7mluhTuev89kiQoTPa8jvBDt178AoheQUZ4gu03+i6oSclTUp9WkWGm69DxmqPzcvDUi9PVWkyqPBbhe0JRD83xSmOXk+G81dX29aHox8g6Hxt2UiG9gsbkwyi0TumsuXkFMhw4U/VamoCOp/kpEOoEhn6l6sssElH77lhcIWkQga/7zT9riz0EZ6YZytVyZB2vf+jbwH6KLu0+bg6Gd6tp7CnH6PPXmL8qNYkw5u7hHXJFegRmS38orvI8HONEkm2Dl0puVHSeS8Zhu8ZUauI6Ms/Zqx7qkcGW02fzTYs9Ox/B2T/GZKB0935+Uc7ul/wZxkrYzLMZE1NJn1Cjy89LHXPlAwXjwseUxlCN1K7v3DMggx/9W012KPouoGMX/rWZFi2XtP19F/0oF7au/TDZPCY+N2/li/2f1/Pe7eyz54MCc8HKEQR9C5dvRSNI2RYa3ZYJFgS/cbKco84VzI8eXCteIM0+vnZka3tHmQglPQ/aJabd77n1LiCNxl6TQr54raiH2ogPg87zu0H+/V1uzTR98c6+FNOkuFfdV77L0A/Kfd0w+oAMtDMI6yeGqOnib9mnggmg9Lw9Gbfg+jttWmna0K57+sd4K7kiJ59U3qF6FkyPLi++e9XD/T7S9yeHYkkw3Lj4F8lvuh/MuwMn1wkw6sDOeahIegj13mbZ2PIcMtneiFEou+66ORgcZkMV7za5BbFoXMaPDruJpDBaeGFgvZk9KkmycM/r5KBudQw9sFNdKsJfwqkkuH07hByeC56fb2/ZkoGGTqMXPwtitAjri7L+XST+759VmfkytAlyYd4VLPIYE/P7J2rRrd9p+EUdZfbt08Tyjua0P3ky0o498ggr3Nq4CV9XvyrSLMb7pNhcuXNC7db0fVXBRkFPeTm/5dVREQXemvCs7jXj8hwwu9rp/sA+lDLhUbxEjLsVKwoMBlBV3fonPAoI8Pomxm22h/00vPEjeUVZGj+sPTo+gVx6A+0TPmqyNAnoOu0RASds1P1pM0rMqx4966KRxJ96uqTuPx6bj/3KV4YX4vusfhR5q/XZEh6GfVoWA49c6XCQwMidw982gq9W9EDRGVK0ilkmO67oNOliS5mklLSSyeD6oGmOx900bu2hBWpscmgl7b/+AcT9AfL32bHtJChaZfTnU5r9FC3e/EtbWTY9tpMp8cJveB456mNHWQovXNCd8hz3vlJsZbBnWRwNOB7NuaHvlzu5uamT2QY2OQVPxeKfj1pybR4HxnGn3XRRS+iD639RvQYIMNb67qz0vHoE1uVksqGyVAUZJ2+PQ39y2rSgQU/yGB2emjFviz0HVoNC6xHyXDsFUfApQD9Xqf483vjZHAudHALe4Ju4f7KZfQ3GUyTWfLXX6Anr6xeoDdNhlX0KIfn9eir7YVzU+bI4Pa8bqqVjD4Y/GDnJ14KnLv1lv8vB313fSpxmwAFzhOXnV//Ab0siWB5YSEFtOPfeJr0oW/cqtvMFKGA8uZdVSHf0d+Mz5mvW0KBWwNN5/Im0Req/nvtJ04Br4VPHjf/Q6/csVe1djkFDMiGZgLCl/F+N666JbqKG4/7e0cdcfSfjX5/nNZSYKNI1bvANehRX+1tHslQYGhKlfhoE/pV8bDCv7IU0HJK2ziogu4cQx4zkaeAjOvmUXlN9DPx+7VuK1LAc6v+tmO66K9OjYUObqGA/0+Vrkcm6JYXiU81t1PAgqA9N2qNfo+/sTtOjQJkVvk1nSPofkbdwm07KaChPJwW64XemLBORU6HAnkjSgtb/NGH1kSYhOyhQJXGm5+yYehJMOHSpEsBmij/gdNR6Nd2XfYTN6TAm0taUtQE9M2Ht51238/93aISuw0Z6B3s4dPPDnDjj64UOXdnXpxjL079M6fAB8m7au2F6H9mUjwsDlLAyKOUpfEM/dOOUIs7hyiQeAw+3ahCp7ceVftmRwFL2Rtef1+jV8jbLdvlRIHXcXxubnT0di/zwXgXCjyNb2WRW9EJzQYv37lTIHyNY4VaN7r1Y80oBS8KiCt2L703iJ61Xd4g9BgFBLLLepaOoYvfEZ1740uBY46yyjHT6B5bB0slTlGgd1/E8G/+K/97yvoXLh5BFCjVXbzh1GL0nqfB/KWnKXBjozxrUAr9u8S6/H9hFPhMWjbhuQH9anyZjkUEBQIXyKT3KqH3G2+lZV+gQHFBVpGnOvrJhORDX6MpcCaiVWtwD3pbLLtNO44CpodW6/nvR5cPGj14JZ4CCr8qX09aoRfH/iC0JVEgcu1MbZQj+p+JNzvkUihgk6KutsQTfeR34K3gdAooiZTI5vihV9ePTTbeoMCcUVWS6hl08kVDi6WZ3HMmcwOJF9E5fp53Xe5w55RZznFOQO9+aTnwOJcC/efgye90dO10PsXpfAokF6fyZ9xBD1OJPGrygAKXeafadzxAP1NZdeNmMQWeb2pQePsM3cPtxev+JxQIeK45fqYa/Z5twIBaKQVizR/vWfcG/Repjz/6OQV04n35SQx0m89L17ArKaA7+9o4qB19MWtUcV0NBep38Yis/4xe+uqS6sk6CuxrCTBlD6OvbCWqVjdSoNvCY1HM+Lw49SuUFhIoMKYha6w1N68uKuZrbckU8BCd4x8Rise5bkgULKBR4IS1gV7xMnRpWf+hUSYFGi7BrPca9N7w0TfQzN1Xa3W15eXQfX+I377aSoGp5LSJga3osfdZXh/eUWCXxaUdj7XQjd5sUlb8SIFQssdIkD76slNLhkK7uX147Ny23WboVyhJOW96uPFkrBkRskW/O3nbQvwL9x4pTdnR5ooev1J90nWIAqekN/8uPI7eYGV/48k3bt01tu09G4wu1sC3bfonBSYO/hKyikQPiVNrMP5FgUukxkObL6ObNvWZ3JikwNGBgU18qehy1yXpvX8oIPSvLOxTJvrQqoZ9qrMUOGgfYNVQgF7l31d1nocKztp+j/OeovM8Oy9H56NCcd9k0uWX6MF/EuNXCVHh3y3HMf/X6CLewl+8F1EhIrX/oz0dXXDpuM5zMSpECfSbGbWh/1hqcoV3GRWomwv11T+hJ0YJMC0kqXBIObRObhh9PFxeNFuKCj7aeQ2rxtHPLyvSH1pNhVvnzpgsnUOnuCQE7lxHhdcrDByEFyb873VnSLdiNlCBZ4v1CL84emSg80v2JipUvRtdzLcW/aKbCVt6MxVSd56q4JNHD7O/8umEMhUCnaT6BLeje5yUGqrcSoXzDppZojroF57+GuLfQYUNsPaDpCG63fbVvQc1qDCzQqJAxgK9dMGVt3e1qPBj4NjkFnv0fA2duq+7qLCk4kTzbo95cb5TydUCKpRHemlZnkQf+uN6NlafCu57Cjd7hqK/eMAwazaiwsev4fnnLqKv+BksJWNCBclIlaLrCeh+Hy07fM2osPOzmE5ZBrrvOZfrLy2pkM5/zJZzF12oPdtYwIYKNawrc2MP0c/+ERo/aMuNR6F2h1Q5+t5v2TfvOlDh1LeDv/bUoq9+aa/29QgVRqfTdX1I6Eu8tEiablTYvI29Op2Dfvyvls2lo1QIdbKJbvyAXn3erp3tTQVv6xNnxvrRW3+n2EifoELJZ/e/ciPo9BM9pON+VFBoiRM58hdd4KOx+osAKpC+yT3K4E/83yUtG28tCKHCs5HE96zF6ANE4wmLM1RYdUfgptgq9CyjjyZZZ6lw9HF3r/lG9Hx62I2BSCoItHo3pKigPz6y5oNaFBWuUwa2tGmiP5hokLp4iQpErRLFdfrolBveZvTLVHBkCFceM0NP3iscvjKRCru3GrZW2KKXD9+/45nMfX6u+JKAO7r6Le3qZ6lUIH9MINj5ojsaNDJnMqhwz3P7rcen0R8OaH8wvsXtH5XBGb6L8/JwIbc7I4sKJyhzv5wT0OUExz58ukuFr+SGyOoM9OfByuwteVSYfnE2c1UOukyjyauw+9z9szr8wLkidKMvJrlvHlIhOGxhcnf5vPg7NkcsfUwFusVpr3116BbpvZZHSqiQsUqUU0JG3y50Zs3DMu7+sVrFWdOCXqb0qetXBRVyvIe8EjrRp0fXZEIVFRbQydemB9ADrRTME19x6/6Nz/LUGPoLrX+/2+q5e2PrQH7/DHpFdm6mbBMV8ifrkl2EkrBP/BZq+BOpAAXtSzqWoXOy1EhVFCqw0yIV7NeiC0jJHBRgcOd61WzrO3l0FSap2YpNhd6kvDVHVNFDSpTMslu487ireurzLvTDDw1rB9qo8DIgxe/EPvSY++Lyah3c/IQEnp2wQh9LS40738nd8/FFMjFO6F1OdV2UT1S48vOSs4Q3+pvh61uX91Eh+7OlemEAur3i8lC3ASp8vmFbsOsceg6PdsWjYe7+1+9/0hKL/tZ+7uvkd+6cShgf9E9BD1jlsVp/lAqL1GnJIlnouxXdda+Oc/NDq/Z+dB9d3X/K+d1vKljNerw3f4aezdgUvHGaW9+BJQNj1ei/lHsv+M9RwS9fLCWTgM7vt/1SFS8Nfhs/fGvIRmcGC1/kF6BB65ByxWgHerqsb7DlQhqoZfSp3uuflzdHa5dMERostF5najOCHjpbo9u/mAY7FOV4F07Py9twwert4jRwW2N0qF7gKu43nkXfzi6ngaI81TB8KbqvzOBzwkoaDOvztGisQe/buPv00rU0+OKt9m9cDt3i6wIVJxnuOTEllBfb0XsPan+8L0uDrEsNO87tQt+h9jF6RI57vk2Zjv4+dN4Tg+t3KdKgqJX9WeQgui3b8UXsFhqsG/bZ/M4JPQS2G7C30SDEr2nxA2/0z9e8SKvVaHBDc9v1sEB0n9u/9b120kBz7e8aswh0IbXeihJtGnwY9o7ZeBldUE1u/d/dNCD7U7/OpKL3+1dHGerSQOSU38S7bPSTNTkdyQY0CHyalVv5AP32N47S+300SPqa+/1WGfrTVvOgjQdoUPaJ/DGiFl3ZZGmpnzkNJgxc/Y+S0RkrVwxUWtFAllSSZ9aCnrH8iOSCQzSgSwme1epCf7WkW8vMjts/3U/G5YfQiW1Zh2440sDh9Zj4ynF0D+1rPp+caTDlvr5V5B96ksCLQCV3GlxwjN61YFEyzvtCseAQT24fGnrum5ZEL12c6lvnQ4PQsmWTkzLorN69Tgt9abBPo+3AhBJ6s7WEvrU/DZ7YzRpOaqAPyomszw6kwc3c5r4/uugR8hsn+kNokJZ2T4nHDF1f2r5xWxgN3j2qWCFshy7TXHgp/BwN7LwdiyQ90PVERaHpPA1SND/0yPqhC6VdGhGN5tY9JaZJLQx9jaLYbdtYGjC67pruj0F3v5GnlXuFBhsSws45J6OP3tFjDSXSoG/SySb0NroK38ARtWs0YF/KaEktQC+/cu1zRBoNTK/5zZSUoFuPaDoTr9PA2G8Hk12NrjD9kbXkNg08AreajBPQo4+f03bI5sY/9NhvNQd9/O+SzLwcGhiu/7PL4CP6Pv+bo1/zaLDT0eW5/wB6YtRiXY1CGqS/U2jPHkOfGQ2MPV/E3QPtuQWMWfRtEXWNpMfc81MkpXmFr/3v7z6MjC99RgNHDaaupiT6JE1AxrGcBj6TK5cGyKBTBP9C/gsaqMxB4iMl9AYjqt23KhosCE4uG9JAv6EX7K1RS4PXoZZxSnroGmWjvucbaNAszxT0N0OnWegfIzXRQC77sPpzO3QCw91pKYkGm75uXzLrgf6mz8zIgUoDzsZHN4390QuNeeTzGDS4c3AJ80Y4etqTsNlhNg2izj0sG7iE3kYso6m9pcFkfqPRrhT0JfsfpUS0c+edfP9yaha62CcXM0IHDYZ6c8KGC+edo0+dE+uiAWHo78p9ZeivZIYf2H7m7lUq7/GCWnRd+Zr9OX002Br875gABX2DgE7XwAANflL2rjr+Ft3xxFHf7V9p0F+66CyrG30jn/rPsB80MBN+mqj1FX3s3MPjjaPcuSgKtiiYRA+6WNshPEEDULdxF+ZN+d/jak7pW09xfzfBeLxREN25vSY3c5oGo3vh0zlRdPPIuxM9c1wvPyKnKY7++7CknvICOlibEpt+SaFvFV4dEyxABznPezWl0ug8ex/X1Cykg6aThFjgRvSaTNIwnygd/iTovVRVRO9/c2yp2RI63DU9WPtrK7q2e9KWDHE6/B3zWVupjl4lsQ0+LqdD5tvi1nM66DcvmBtvWkWHSj0Y0tNFN9zft//kWjqoxx+wE96Hflx0ZM9zGToU/R6VaTZF/3HKT2lGlg5W7Y4G2QfRR5c5iBnK02FlQHGjjx06ObXkS6IiHa4LCWapO6OLJvu9aNlCB8HPaawFR9FjC65FrNnOzeeeUNfmY+h7gsS1j6rRQdSp9UC+P3po+tjX4p10OBbamno6BL04f8v1MW06GFGy1E3OoqftqVXX2UMH+URztXUX0cWnc6lRutw8jC5JHo+d1w+n39pSDOigs3WhET0RnWN46P3S/dz8BDnZ309FX8grbW1/gA4p37aSL9xE79BVbswxp0MB6UGG0x30g5nn5Aes6KCl8rVWKx/9Zd6i6K2H6KBvuM5Qqgg9/sfbltN2dDio6q3w++m8fl7WvqbWkVv3FYM+756j59wVc+R3ocOABEWgphp9TuF0sqk7He7v28qb0zAvflhUleZJh4+U3Y6XiOiOIZT3733ooPxi1TJfOjrTrmRkvS8dWBuG5Wya0U+GvZz18adD9vqWW7vfoUd7fuYpCaTDv6Y/xxW60K8Wyf+dCOH66pjbEn3o+95eGtodxq3LjgwF3mH0uwFTzJhzdOBIWEuO/ER/LXy+mHqeOy+kz66fJtCXKolHLIumwy/rY4uap9E3OJUa2MfSofHlIkkCb+r/Tpez5825QofYP98jqoTQpcT5KvoT6XBYQtOoRAzd8MFTly3X6NDMK+JXKIHO8bWbC0qjw4665PG7q9AD+v+kV12ngxoMfLglg85/O02G5zYdlMK1N2bIoVcuWndvXzY3fudiaooy+qfaWyuv5tBh9qNLc7IqupjGv9iWPG5f9Z7TSdZEFxkzH1pVSIetTvJ81/agt56O0ncrokPvlpgtqQbo93VvpBY+psP4nsoXGSboQ5wrbd9K6HA2cODebUt004eHl6mV02HtQ60fOYfRc/X+6IW/oINQAyvrgdO8910TcKy+ig5fMzjFz9zRXz17cUmglg4LeI6uqfFBP3iecsO0gXvOu4ffiX7op+cK7qY2cffqKGnD22D09Y+MstuJdLCT7q/sCUcPnH1wTZpKhwfKcs/GLsyrux857CiDG8/g40X8cegNwfl2RWw6HJe5R1qRhL42TmPLzxY69/+g/IBSGnr36nOT6u10uC3pcVz3FrrBg4AXZzvoYOoUZmF3F70sR/xkQycddion3zhVgN5yxllK8DMdxPTJevHF6LF55i9N++iw0MnUquAZOjO12yJ1gA70rbtfN7xA561c8qFtmA6Xgutvdr1CT43uOLL2Bx0oH/+wZ1+j7/Lc/dZ9lA5la5b6r6Ogd1JV9R6Mc5/vkj+ly0K/s6ky/9tvOixu9nh7tBWd0UWeVp2mw8zdwTtXPqBPeR01OTNHh5BvH2lPP6O/l4tJesXLgE4XT5e2AXT/+E0EXgEG/LuZf/jfd/SPfw1+7VvIgDWa9aWK4+jRvZ0rkkQY8OXdh6DDf9GnH/3YxlnMgAipdbejedL+92WvgvauEGdAUELxplJB9Maz3vpOyxlQT7y//LMour4FcVfuSga0uKifFJdAn81KVupfw4DzPWc3G61CTyPXLFaSYcCi7jsHwmXQ2zUPDPrLMkCmu7H5qRx6i9nOynI5BnBOiDT2K6MTj0ecm9rMgHyhnOXrdqDLjqzU2LOFAWe07rHttNCv6S7si9rGgJzInWNpe9GHqvddIe5gAPVQzFmWIfreOvYGkZ0MWK79+LiYKXrHw7xnltoMmM5rrTc7iL7t3Uv1jN0McFy4KfKqHfrIwyVP3wEDwj/W3GM5z8tPaP5aaQMG/L3WqCLhiR54J+Ci+z5uvVIcNtifQE8MDX5/34QBdw48jLgbMC8ep4cKw2YMGJRrhi+h6PyFIr5brRgwdGX6xLZI9PHHt/ODbBiwrt14LjwGnUSy4LywZYBXYNcfQjw6xUxh/K8DA35XfHKWSEE/nyojCs4M8OQJUfK4gX5zWG1VjBsDMoteuZZlows+dltDOsqAbqHuWb589M+b88RFfBjA9P/Hb1eEHlE+PmdxggFu2/RPPypBd7pz6FOaHwM+3KRZ8L5AV9Ose9EWwIBPv+pT7V/Nyz9bJXp1CAOOJhnsLX2NXlGVo+9yhgFPHpw9JEJBp8LSqXtnGXAkPv6tNwu99tm5vP5IBtgGZdQ1taLvcejSU4xiQEduvbjsR3SdWPW2k5cYcM5qGyeqB5114azrs8sMEKsW+tsziH4g/XHnrwQGNEr4XTX6ia4uTLLSTGaAaGpMYtEE+m4l4suzqQwo9zg1vngG3WJv4fK6DAaQXhwin16Qjnsg6agP7y0G3HtpJ9S1EF3J6e8TwywG9KVkl+5fgl7/03vo8l0GRHntJ5UtR/+bfH8V7R4DHjlEGMusRa+NKNu7+D53X1111bgqiy49E29/8CG3XjLLk2c2o3tZbvbJeMTNv1Kjtd829GUv40+0P2VAFvFyTLcGOiO02GN1GQO0ha+ut9mNfoYWZ+lcwQB7gQlFsj76xonVqrkvGSBE683Za4K+ZMdRod4a7h7wiYx+YYn+ot6pWa6em8/+fs42W/RXHTxpx15z94C5XnLxEfQ/dRb7HhEY0JZXXil/FP30A72f38kMMBhysyg4jh7MbE3aTufOo4yf9cYAdBs/IZlgFgOSDGaa8kPRG181369oZoCixY58uUj0S+NqG6ZaGbBAU23kYQx6nqlCqs577j4fk32kkoBuOvVwIuIjA8yD5N6Wp6B3b6uwqO9mgOl9F99dN+fVV944m7eXAdfPjAW8uYPuvMyly+ALAwKa+fstCtDnNvySjBtigHN2FamjGF0kkU+X/I0BS6rUVx0rRWdHJrouGmHAceHM95OV6ANKl4PNfjHggq+Y8OW6eXluHDuXPMmA29VlD1YS0GcCqWHsPwxQYT2peERDFzy+6IT4LLffzsuq6TajH3371PIQDxPCstXXt71Dv/6pXPEGHxN4poQi/brRdauWT7ULMuGuS4OJ4Bf0/fHs6lWLmFCQGRWX+w395dlPgU5iTMgIPqW2+xc69YWe9J2lTFj29InV+z/oY14jr7okmPBDxK3rDE/G/04oGbRaL8UEGbPij1JC6NI18u/dVzOhSemZaZUY+o8nhYfzpZmwyv268hFJ9BNPPIl965mQeD8ygmcN+tfOI8rym7jv9Shpb+EGdL6jiZd8FJjAu+lLoPlmdH/Xb5yHSkyIefVkxeRW9OUT5ySGVZiwZL2QSq4G+lqjnSbKqkx4Prm8wnQ3OvGUVPBJdSbc6599OqWPfiNjTeoTTSZIX+tZ/cAEfWvz3vwfOky4njYwZWuFHrQvsmjbXibEJm03WWiH7r24JT9AjwmpKz6L1DijG+3bnVZqyIRTpLV6pzzRA4UrQsb2M2Fkh9DQJl/0+CBtUzVTJvAPN/F9DES3yiIsD7FgQv7Z0NSMMPSa7MNvnx9kwvdT+mkWF+blObk/buIQE4StTQUXxaFrxgeq7LRnwp7C59+JSejr8iZIoU5MeP/jnnFsOrrlTz/bShcmHHi0U8ooE70ktu3db3dunPY3HATvoRuHK1tqeXHz5t+3hPIA3abzWFXYMSakexnqXH2KrvcmQarKlwlPnr1/Z12Bfh+uHv/jz4TkBtLXVa/QzdxOlmgHMUGAb0dwz2t0hZ2bhsJPM+FDz65TjynobuxnK6rDuPkhLfx0ho1usGex1t9zTFgr9Ypg2D4vzgQtc50LTHDaEb5eogt97xtl27PRTLgddnSkpw+9Z7LXujqWCe+M7mo8/zovThVng79XuHPxy2wkbgy9KDBdQSeJCd5taeud/qCfZET/C7/GBKp+OnE7z/X/fYOJAq0qjQmOVwJ7hITQk79FJPy5zoQN41Yhn8TQ79Vd2KN9mwm72YciqiXRTxOU+8KymfDyaO7f62vQDwtGnn+Zw4SyMdufQbLo1bGnRKfymKBZl+V4UBH9wP5/VzULmeDAn7ZbdTt6s/lmvjNFTFDkcb4uronukvXF98Vjbn2HZLwm9qAvVt1JnihhwvDE7KP3hugGSyRWapQz4bPt6hP1pugXNcKdQl4wIW7XrZxCa/SYPM+08iom0FiZZtcc5uXtEOfV2Ctuv+02Cgx3Qw/YX9Oh2sCE6gfVYl4+6A/D1n0LaGKChPo6WWt/dPXeyZESIrdevOlPdU+jF0fpDv2gMMFzy+7y7RHoTea/36owmNDA3L1dNmZe/nWlnp9kM2Hpv0q55QnoHQez4x61MKGHzU4XTkXfGR5tNtzGhJJDxWf/3USfe0wQUOxgwsBNn47Ju+hve9zLfDqZ0FGgXP7z/ry8LbGxLvzEBHr0KoHhx+gLFK739/Vy94/GIXZ/OXrI2k0nNw4w4Uj9nGRvNfqOnul+92EmiEvvbvnciF56fKVN7nfu3j6wTaSHjJ6Xf7q8a4QJk3umX/Wy5vXJhSVC0uNMePT99eCXNvR93z+bO/1mwusDRclfO9FVOgYv3/7LhBoDztPRPvSPausr2meZ8K/J2eTP13n5/BLTupyXBa3lgS4LfqG/61oyZMPPghNT236I/kV/ItjwM1WIBaTgmqmVvDfw+9A4ZYi1iAWd/Jrn5Reiq1+NaBNbzAK/y4TzGkvQg2ovvjBdxgL5t/F/jVagP224FR8vyYKEhsJRO2n0nMgGS5IUC6bXgafvJvT1Hb8WCqxhQUndaeuLyugGNVsr9NexoNHX79WNHeg7BfwOXdzAAqmfxnlPtefFn1X8pXYTC6IWK/OTddEPu/X6Tiuw4FrSzp6e/ehNGhJ9WsosqN2cvPufBXrajIZl6FYWmOUckpC2RWdk7H9SrsoCh6LH3rud0Z90GsyNqLOAPfNyp7MnelaFvP5WLRYEm2XHXPBFX/v3a5jvLha07A83zw9CH7l8Le/hXhaYZgVlkMPRp3TE6vv1WLBkpNj+50V0wx9uTFkjFqz+ZpgpdQVdOCKO7WrMAs0dRx30rqE/qg0nZJuy4K/75hsnb6BXJ+588t6C2w9SlVa376B/q315eYU1C4jfVONJBegyyjOHbA6zYDS0Bn4/Qj9eNCOZYs+CKePQkM3l6BNiL0h0JxYcG7uk4FSNrqyyyU/YlQWx/4QdrjXOy3+HvsA+DxY4/1EQJpDRPw2KpUR7cePx4tWaYaGPKkaJ1R9jgTHpZb96Ozrb/1bktC8LDtwJED/VNa9ely0/aZ5iQdtR07rifvQBgzyNkCAWUNN9hwa+oc8FJkU+O83tk7xf6fLj6A+6hV9+C2PBzALBOu9p9OcOK/o3R7AgdyPB5+GCm//7tsdP+L0usCAwwCb1qzD63jzainvRLPh9sEVn+zJ0TcGTazpjWXBGxcczdCX6nXsJ4qviWTDoqbq4TgZdcs/GmUNJLOC1O6QlpIDum6v6LuUaC+Rcx3oObkXPTSstpKex4FyryuK7Guht7+/6LLzBAtZixeqvu9Htd02sNrzNgqdHBAd0DNGzzz1ruJDNAmuxwYxEU3RDF7p9TQ4LCn1Hmjqt0cUKDXsn81iwv14vRNURfVJyuduOQhZcNpu7H+eOLnpSm+VXxALHQ8YOncfQb/k+2V70mAVBkvrJGgHofC0nL/WVsGAdSczo2hn0Lrdgqkw5C3zyGZHD59GHml8tcHrBgrGP+Vr749D5vxiq3KjizldB2en7V+fVy1boAOcVC7rl1moIXEdndf2zF21gwZfEBWe8s9GX6ig57m/i5nnm8i5KPnr8hmjzaCILrmcyo1UeoQ+a86nVUrjzGDtlll6GLnCmaNEUnQUWHQqZf6vQP9kEvN3BZoFg6fkTRxvn1SXTJsWvhbt/ZGTqGGT0JB7LvQ/bWPBEU/m6Nht9g45LV897FoQtJPwsbEfnnY4IkO5kwY47i5nLu9GHJwrH7T6xgDmruD3uy7z++dh+Iq2XBd+3aq+Y+o7e4ibSQv/CghpVl4u+E+iyO/aoCA1z4+ev8f80g67Iczxc7zsL1HMDP9vy38J7Jzyh8twICwxn898xRdBrTO8MVPxiAW1xyCFjCfSWjXeERya5++oN3+Gm1ei0J7HSSn9ZECF6ugNk0ckZ1hs9Z7nzzhzqq1VET268IGbJw4bM0ZiQParosssMF3zjZUOGnVd8nRZ6oNj4zyt8bHjSXbJRTxfdJeFqm5wAG2K9Yg0I+9HdnRa/eC3IBr1GoaEDluhXbEKSXReyIYdkL9lsi+5vVOs6I8yGLpNMgqMLujHfgOJtETYwlv+Y6fNC/+jy85uGGBuoE6erA/zQoxTfPmxezIbKZzZzsyHom9XTnU8tZcOCRUXkpAh0M0slEVFxNuQ23lwlfQmd3/Rm6UMJNohm6I0+TUT/PdluZbScDYY6ZEv99Hl5kB0e/LyCDZzj5hrtmejC2bTw8yu58bwdu+eXh35ox1m+Nau5eVPsuC5QjK5Z/iu2cg0bDCTkluWUomt90+A9JM19XntCQqdqXl2K954eWccGc92Td9sa0NOqRXqS1rNBmfzoWQgZvX0wc7+iLBs2+rcekGSjr+Idvk/YyIZq2iK/inb0V8zJGXc5NnwP9ZOy70avWltvNifPhh0LZA7MfEHPq9C9nrmZDedndAXyfqCnHg1v26nEBs3RcWOTSfQ9I95LW5TZsOfYkeVjs+hfNwkZnFJhQ1//rRPZArdxXqh2/iLb2DAxTDM2FkPXK7JNe7CdDeXjK55NSKIfjuctMdjB7ZOIrNyCtfOe32H7pluNDQ5/zq4+vAldzte6+ZwGG6Y+tkkLbUGv+/vrnZQmG+7dYBdXq6FbP9B6V67FBlpqfOOpXej1O9exLXW4ddm50UPeAD3UP6/h6y42BA3WJXUdQD8j0VR0eQ8bfi48r3fLel78w5GJG4Gbh/GoizaO6FDJ9qrXZUOzwDeTpR7oX/ZUaTnps6EktfMO8zj6HT0N/t8G3DkaPhORHIiuH6tPTjNiwxfXj/2W4eiGtK5LW/ezQXb3lg7xKPRHrUI6VGM2zBCvOLRfQRfxrhnwOsAGN0MJzzsp6Kl7fl/lNWND+vi3P5630H+vrdpyx5wN+pKaa7bmoie8mWvSsmRD8Edx8tQD9C3jBJu3VmyIj77HQyhBP+gr+vGUNRtMtfgJaZXos4OsIyKH2NChfGS5Rz06WXlxW+FhNjy8TB3dQUL/OPpmv74dd+8FBTgKsNAnp0ZLO+3ZQFhyyvJ9G7rnXJpkuCMb3pwfYD/tQheuv39K8ggbfD/87Yr9gn7ot0JTiTMbvu6hhrv8QDc/KrXE1JXbP9Wh97Qm0ZPqAm2+uHHr4rHBVnIOXeeNekqUBxuOG3y9OSqQ+b8v2+ZCWOvJBpbXhDdbDN2j6utYpRf3HJZb07Pl6CLSH1ba+LCBGWPxJE0aPUJCSfPHMW6cF7o3hcqh1x1uM48/wQaeenUlJxV09+zOI5tOskFQ61StngZ6Ws4ez3o/NhzuKulS3IMuJDV+1PEUGy7ck0qWMEJfXD3nNBHABm8/Em3ODP0SOJmlBLFBS+nTza+H0N87C2koh7DhyKvosfdH0MVoPCuIp9lwjZ/9geKJ/mK30U+3M9x6dQ/a1JxEn/RpbpgOY4O2wg/HpyHosbyFCTfOssH/Gc9oXgT609paM9UINsiY6624fQl9v5WUED2SDRY0NjUlaV7eTj6r8r7ABo0J1uKEjHn1IsZ58kZx85Pq2nMpG52z+JZQdjQbjnrkGkUVoK/58zlv5yXu8wrlWhceo9/f6bGTE8sG26yXNeefo5eFrXjte5l7H53mMC+8QpcKmDESjGeD54l1QdFv0Pcylr3OTWBD/+aG+3F0dGndQzt3JXGfd24/nvQWXT+sMa/1KjcPzy7VpX9Ef7PJTijgGhtSCYP52X3oh8bFPRelssF576bVD76hb7s+9rIgjbs3Ku02lI+jy1f8EoAMNhRS8qsaZtBv80qavr/O7ZNFir0s/qz/PVLh4JXgm2wQFll495Moum3Lw1qx22yQc3AfHpNE1ypd+fVBJhsizx8mC0qj00/eXaqfzYZpHgGttXLoxqWaWz/eYcMLjxRtNRX0M4o9BqE53L29YSXDVAO97ELWwaX3uN8PVa/GvPagDzi72xXnseHG3bvFUUboaX6qhw0L2GBi1DV+1xy93k7YtOs+G36tyebUHkaXIHzRCnvAPefqlG6XM/pLZ9I68SI2GPNKGvB4owdTHs48KmbDgY7F7zb6o98sudJs9Jh7350R5jEJReer9MztfsIGtsammlPn0dXjdLzDS9hwzPeC8K04dIUmoU0SpWwIO7nra2MyergE9f3jMu5euhLm9v0GutnaC5f3PWeDi6jd8dU56K7Rm1Q+VXC/T+C3gMkD9MmhSmp4Jfe7yCt8Z3gJ+sjkTjeJKjYM1s3+La6cl3+znO+Pq9ngfqXApqsefU/yj6B9r7h1+XtVV4KMLu0iO9Jdy90nxh2NJmx0fxctr/B67r2ZX9Qe9Q69Z/vWZvFG7j7UXhtd8wn9eSiv5uPX3Htku3Xj5CD6C3ZJutEbNuwu8b2uNopu0r1zsIvA/e5qvTIX+AfdWT9DPYzEnccGykwpbzb2221C2DIKGxLjLVJ+CaMXxpCfF1O537GGmlU7xdFTcjIHDehs4OcrOHNuNbpPorZkJ4MNNZzntEZZ9NG+PM1QFhuqquIrhJXRo03eWi/hcM9p0NewUUNfYEvzetjMndP+fwfu7kLvK4wN0HvL/b+g8Hly2ABd9R1PcEcrt74XBLW1zdAjY3X8gtvZsPbztWXxh9AnTLa7ir5nw+O9dy52HEE3a+g2vt/BhvZLFnEqXuiM6H1Kez9yv7ezm2Sj/dCtlD342jvZcNB3re270+hgs/3tqW7u+Zyw9dvPo6elP81e+JkNlMdTUfFx6K2XOo7c62FDQWvN2b5k9A31pZI6fWzYsqFnkd7Ned6h+qa5n/sd6Ja4IycHfYmfva/vABuGXNtH5x6gVy7euIh/iDsvg/3Gbs/QQw5fy80e5np9m2bTS/Tt7ZlbNb6x4c59Sp1CI/oJRYPnjO9sGLDt6rxKQVf+HKvq/ZMbT5L69QkO+uJ0t8K5ETY4/f3a59KBbtjCFr85xoa4g5sYlB70GI23odvGuffa3lnznV/R15ofayZNsKH+2A2fgl/ow48T5Nx+s8H19JLVkjPo9gNaAVNTbNDhv+IVy3/nfz+aHFCW8pd7D5bKHJgSRc9S2/Zt8wwbSJKTpJPL0aWOBUk3znL33mul7h5p9LhXmvsc/rEh36TzmqM8+qbGCO9RHg5c3KnS0bIVvU4Azscv4IDHUp06C030p6sirm7g58Azx427aYD+OVE1o0qAA+UZCw+ZGKO3Dh9JOyjEgXRtYUGKFXram+nLQws5YN1gaH3AAb2yUOR01CIOsLM6tBju6H7rEhxWiXKAozNcdfAEesDLEI1SMQ58FkpvbQ9CF+WlLDRZwoGzx8cTXc+hr7x0qeXTUg50N6p0DsagL2AUXA8T58C2Uy6U4CR0greC5VJJDrjT7lvxXEfv/yDM83A5B3Zv2RicfAc96oXJQ5DigFPvxPZ1hehwsW9/+0oO7Ni7J6HkKbrD6/Yu/9Uc+Be78oJ+JfoNgQ1+gms5wPhXuKS9Ht2quXbsjjQHLnwT2u1HRj/x7NEpDRkOvLriyC/AQXdXGOylr+cAr1jdsbvv0bXqAiw9ZTmQ8uTgce0e9Nhp/bLpjRwIyVQXbBuel3+vI6LpchyI/hcLIb/QC6OqnZUUOODI77VccgY9tNWxsHEzt3/oI5cr+O/+70/6db7YK3GgPtT4pr0YetlOe+kRZW6e1yUazC5HDzF7ZnpZhQO/37cn5a9DDyvWDVy3jQPjNebBpgrorBbB5IrtHLjcLPJ7fBv6SlOePLMdHO4eVl2Zq4V+KU3pSa8aBwQbP7aZ6aE3K8eUnNXgwNJcFbVpE3TrW0JFyzQ5MNior/LIGr3bvuL2Qy0OnJHZRTjihD78PT4KdDhw+InG9BJP9JPt0W5tu7h963SQ9eYk+mjGnZ1+ezggK/VE79xp9PT77Xz8wIF3RB9rtfPoPFe2kjN1OXDeIpf3exy6X3VOjKo+B/ZePW358Bp6QfXmnWQDbj6dBXd73UKfFiB1uxhxQPNmIGnjPXS7VWEXJ/ZxYJdI22hvEbpqoPbKJGMO/LxsXXO/DD0pfuED2QMcGGkT2HS8Bn22s2dLlSkH4msXb9n6Bv3eEKHI0pwDeTOJLeP0eecrlEh/seBAj1X26trWeflcmn0lwooDCUEuvJe70DPXJwyLW3PPXz562Xpg3vmsUIMiGw4EDwU9lRlB/37DNR0OcyD89oLTP6bm5eGHXkerLQcu0es+1PHmYD9Yrll50p4DC+WIPSmL0MVVh8wWOHL3hp5mgqcEerdwUdgtJw5UVm9v1l6LPmFln7XVmTvv8pzqpXLo1yPGn79x4YCIlKbhkAp65oJzBEc3DpyWivJv2onuYz9EH3HnQOgzhnYOoH8d202LO8qBD167CiOM0Z/sC25Y68WB5ZWD5U4H0WtI8Y/LvDmwSWbcY7cjesVQ5DXjYxy4LxlRvu4oOkHG/HjXcQ6QhHPuLziJ/vTjuHaILwcsT57THgxBr0wL4l3kx90z97edYkXO+93ypvocf27+V3fsexmHvrG0P0QjgAMxyrcb8q6hf5luXU8L5OZTPfFj8i30K/xpTW7B3PvoKjMz4h76+l1SzpMhHEiOj5r2LUa3WHL0e2IoB4TPvJ47Uo6+fyQoZEMYBxxySwosX6GTzAzHXoRzYJ+pz3cDwrzz0996m53jwNoqoffaTPRtqhuaP0dw70H5Eh/VdvQjGQrqZ85zwJt+7rbSJ/QCxf4k0YscEO9K9JcbQr/mbPfxXhT3/MTZLxvG0Ldnn5PVjOGA79yPBeun0TUOWrrSL3FAbRt8XrIgF+MfYKW5x3Hz/KUvLUUQvYT699XkZW4+y8+sEBdB3+PJ6EyM54BXvuDJjCXo5uuMJtYncuBxfW66lCS6mYcr34skDkQsPXw1ayW69u1VC02TORCZtcNhvTR6pnIg36drHJDyNP59fwP6laijEyGpHDjue99nizz64wU/OoXTOXDwmX1xuRK6xorFtXczuPncFli/axv6N9nGNLUbHJjqmS18o4YufY3flXyTu8+bxNwttNAfNrRucL7N3Q+Eku/vdqP/W7vjw2gmB251jpl56qGvEJZKjMvmwPOZ/vMjRuiRQ1Gqa+5y75dlt2IiD6Dvkw1gluRw50t4pZOIJbqMVLe74T0OnGCECGTazHsvZfrXd3ncPbavNlrRHv1Ao/pJvwIOgCNPS9UR9Oe7VvTyFnJg+qvZ5AF3dIsZP6sbDzjQ+7H020cv9Eue2s+VijhAF9n74tQJdKvW04vri7nnH+ax4TuFvrtkvavNYw4Epgs13QxGP2KtWTjwhPv9dtdDUCUM3XZdZe+5Eu49aLpeuikC3TXojtTSUg4o+1sKOUah73gyoFdQxgHP9rk3o7HosirpHlrPOUA9vMc2IQFdyOpOOL2CA08rVtVsvIZuGcx32a2SO0eNeb9q09F//HqdMP6SA3dh4J/9LXS/re8vXanm7o3Jie7xbPTu8wan177igFFRZ3rqPfRe3X9Oz2o5ILbyyZpthehPWcLahvUccOYNPsMoRp+MdRN918C9TzfsfXCyBF2sjqfN9zUH9FSlH4k+RydyBq7/a+J+7w2ui3nyEv3qagmzdAIH/mO6vsOpbMMAgKMlWzKjsiIkKSRxK1kpSqISlUoZRWYaFCIjlYyIhCIyskJSQmRzdlYS2atkhPrev777/Pu7zvWcZ9zrbVk8vNWsHP3IlN/cpto2GNnwKXfqI3pcjuKTt5/b4BRb8PLoGnT3TIEdpvVtIGqetkWzgSlud6tVfWsg+u/bbYrdLeg9ZfeMPJvaQKVfYymAgm7lJ1bN3tIGsVdrUxW+oG/uYqgltBL1X3RiPakLXU6xJnEricgvh/LL13rRS95/Xagkt8FH9j2PpAfQP49KHbKktkFk1N3wphF06up78UO0NhhOTzlxdZIp3x3WddxgEPN2R+KS9G/05NMN/HztbaD86a5n6zxTHdgTr5Pa0QZq81cqb/5FX2t754x6VxuMsl/sU1yWjPVzdei1uu42uBDg09G+Cp015kXIyR5i7v1dmB7KhS5tQY2Y+NYG/EPyxlr86MLRQqH+34m8+PH9w6ggummG/XXB/jbgcZ/mTBJDJ/VU2r38Qcxp/A5bzDegbw+T19UabIMBvUMyK2XQI2ejBJqHiPMGl0y+lUeP91jRdXqkDYqsXke6bkEPPuSd8Gu0DZaUDTjkVJn2/2XgcNB4G6wLvGvVrY7+3tpiSWSyDcob7lyL0ULXlX379NUUUd+uHnA300UX8BdS1/nVBnLzw3tW66Nrvbevap0m8uKdy48qY3Rt2ZcGZ2faYL/S0Gk/U/SdbIwPv2fbYD7vfJ7WEfTPSb+U784T/aLgF33OCl3RaO6R2EIbHIxKprw5ybQf/e/jWYvEvFp0M93zDHrH1zyAv8Q+vWMOqdmjW5whuuY/Iq93/Gn57Yg+yj9ReZaVBEGGxbLFLuhRmsd+/2YjgRJ752EfD/S2DfESd5eTwLbBy2K3D3oeZ76W2EoSVH6P3sLiy/R7vUSzrFUk8E827Kr2Rz/Bc/y4zmoSHDePPxsajL4yr/dYKwcJwvckVBwKRxe8omFqx0WC0WLraeGH6CcfWWhOc5OgeeHH36/R6JonNcSCeEkgcfhAz8t49GjerklhfhLozsc9dktCH5/cW56xhjjv9m457efoBnr2flprSXBKSy6CPQN9q/E+jSZBEtBNAhoo2ejN+9r7bIVJIJ3A0pOcj97gLXt3UoQEJmeyG1yK0c9KS0v6i5FguCk2Qucd07nutuYKiJNgzZpmeZ6P6FwDCjteSJDgjLVtfPcn9KN+W3PUN5DgN8Xye249esqDDonPG0ngkv5pmX8L+tRxpYDjUiSYnCtZsKCg14lu6B6WJu5tTKdB/gv6Xp485RuyJBB/cd5tqQt9weOrB7cc8V6gNUXqRZcNS3/9VJ4EjxhNhhkD6L73VvZuVSABJUTR69Yo+v6SefaPiiRwdLS7cWwK/Zyhr6z5FhJMR9w6sW0GXcnrocZ3ZRLcWx3Fx7nAFLd+KuChQoLqocyn/f/QRZ8e271ClQR5u8nLPy5P+d8rOFdtjdlOAhrXOr3E1ejybJrCcmok0LF7cPwaD7rT25HpYnUSnNu7x+iYALruJfHPRjtJAK+1eDVE0HvNPz/4okl41r0cIQl0sdRRU0ctEhjt0N80K8m0TnQQ28JuEhTruXoxNqGrn370KkyHiEOyeNJbRfTLu/j2i+uSIOTLsWeJKuh9x/90Ze0hwZix6rXbaugbp00vaOuRoEqwWMl+FzrocP5o2keCdMXfxSaA3umsdMLWgARvvP+sU92HvrUwt2rckATe3ynHRI3RxwwjpfyMSfD9aORlVlN0e+s2L14TEtgX6NoMm6NfknSsSDpAgvauMRmKFdPvG4//22pKgojC9E/vTzLdT0Ti9gozEmisvQGZZ9CvPla1OXSYBH9pVyNj7NGFxIVu9JiT4Crl1fsAJ/R8Y/0HrhYkyPgmVX3FFf3i4fI4FksSLLWOpJz2RJ+0u/74gRUJDrmttT50Dd03+0b4xuPEeSMzR3X9mO7t1HvP1ydI4LBUZqUaiH72pbaF7kkSzPhYJsiEMK1fOCvXakMCvubgt8IR6D/zhyZPnSJBwjubfM5HTOu08OVOnCbBxIofASyP0evVHe387EhQfkF560wCurbgLw7ecySQT9xXOJqMfjzm5cun54m8sFUX6EtDN+kP1lK+QIK9dvwHOl+htypFVJVfJNax/m5LfY2+ObZE96AjUa/+lJq0FKErmi4v6HQigeBYypr6t0zxfP2ymPMlEqR9fVXw6QP6NsNpr4XLJEi81qtcWY0e2x75OdSVBNvOWQR+qGOKHxtDXjE3EswDb2F5M1M8z/KYZLiT4FfOxvfvyEzrt/y4vtOTBK5mMSnvGOgDnI3JtV7EucpvninvQo8nl72zvEoC5Yd9f973oq8+UNDY70PUzzOMyx8H0EPjc9s8rpNgd5V9efUo+tT37IZlN4m4NUj88XkKPePAq7eRvkTd8wkZbppBT5t7/lTyFgleDe6sIy+gX+B87P36Ngm2S5T6t7OkYh1Ov60PASR4mCgs3LuCySdt2ZsDSfB67EzQMAd6GPuWipNBJKiLeNH6ixfdlm/IeSSYBF7/Jn4vrUUv3PyA51oI8V5lpjPsYuhHPTe8YA8jQdTulra1G9BjBaJUYsNJ0DPne1dSBv2MzMhr2QgSOJ1zEtu6GV2qVnJT4X0SXJ9MDtZWRqeIqT3Y+5AEzzhVWg9sR/+rLTXRGkmC95LS0yd3opeY/th7KooEKxPu/rqkjZ7q6Bs2Fk2CFd8uNfvtRR/KGfh8PZaoMxY9gZGG6IY7NyysjiNBjdWYUNoB9EUpKanH8UR/N04JfHsY/XvomPamBCLfA7maWyzRj4T5mhYmEnXVTvNXvzX6LiAd2ZtEgl271KcXT6PzfOw/2PqMmGds+drW2qO3KrzZbZtCgqOS1JAtTuj8MbobR1NJwNP6cL2hK/roOv85nxckCH5z5P4ZT/SVVO9Pq9JJcF9CvvPGNfToL+uDo1+SQN9EfEWcH/qJPR7a0pkkWB2gzfEmED1J2nPw9Sui/66IGyGHoGvHrr+rk028C9/ujJ8RTPGQf0m8MYfos1+3662JYlon7NSL469JcOTVvVLVOPQ2jSmpgTwSzL605LJ4iq7WuCHao4B4F84ELa9UpriyGVxgLSLuYbmTYdxLdO9/hlb335DA8kPr1vJspnir0UoXLyGB+8X26W/56InVFSMZpSS4LBcds6oEPYubIqNRRoInkjyCyuXoKQVu5tXvSHDXx9z1aCX6yc9xHoffk4DdzOXlzVr0fTYGYd0fSCD14Up5WiO6aYBnjNNHov702ee2tqH/2y8TM1dJxD/V2neBhm5XbRZ6p5oEh1/aKMh1ogv8m3ZbU0MCzcs+BUe+oe/k4D+UVEuCx+rvRG//QPeffiapVEeCb9zbbXJH0Lc2Jg+U1JOgfmn4ZvckOmcSX4p+I1HHuKeu88ygO18bPkRqIoGprrkVLKDvcFKatm0h+v7jdXxXWJ7/7y03yWEjrSTgX3siLXUF+q73ncJXSSRYmysmRudAX9TQf7ycQsyxdo5OnHzosjOruR9Sib4sYxmvK4hutUzeS4JOAsnB4TQvMfQShwRyBoOYW56qPczegP5P9ZysejvxLmp6x/tl0N0v3nCq7CDB+tiN/yQU0LvX9L4w7SL6VFa7v9VW9MRdkZT2bhIsnvDte7gD/eFAyKx9DwlaA0VkmjTR1SVreH59I74jVr/ZsxrQ/cf1xPy+k4Ct9qy2wT50VksWMc5+EjjHKAsHGqM32cxxx/4gwWkz6ZZKU/RAzs0zUoNE/NeYnmezQLc4d5+UM0T0x8byL3uPo/9xlk/dNUICVtWbSoG26GWbpy7UjJLg2sc4m5qz6Bee/thoPk6CO/s2XlrtgH6qeUVz1wTx7rclrA9eRr/7zsTFYYq4N62ncpHu6LZORct//yRB6fZcEv0qelcnRNyaJuZbOZuT633RY9YMcnLNkGC8rbD6fAD6M+5XN2NnSfBvuJIz5y56cvOd71LzJBiRi9o2ew+98ainds4fEnBrqanvecT0vyleYZqLJOgl54uGP0ZfXxTUVL1E5HWSaCc9kWn/YSnLDv0jgZ6B102ZVPTVMrVbOljI4OlKXbrykukdb06Z2LOR4dlHPZuKbPTKR+ttp5aRYbS96QlvAfqR8ybnbqwgw+MTt0pPlaDvGfewXbWKDBydF968LkfPVHh8IJKdDNWzDyLZqpjiTShfWYKDDDZ67KZHP6MLZ31Y/pKTDNGH2wdfNqHzDpQ3q3KTYU++wNklEtO7f8wIL+chw+GfFe/MGejzO27pGPGRgfRk/PfLLnQ5LZ0+Ej9xLrUMHpbv6D2NPTdtBMjwZd/SymOD6E97z3EOriXDb+PZ7tdj6M4eteFuQmTIrkqN4fiFTvdZwbYkTIbgLbzK5+fQWYbXOQWLkmEDi8GLiiWmfCxb9Zl/HRnk8ywWxZe9+N8/9n0SSRAng0OB4fZr7OgHrY/YbFpPhvdeivsZ3Ohha7OjX28gg8BFrj0aAuimK1o/7pIkg/PUjHCsCPpfydJv1VJkaPeZbZ6VQL9ne/63qQwZAs+L2R+XRvfMaVtkyJIhSdC5q0wevWL5wqydHBlcBud2bFBGX2bR/WNUngz7NZucA7ajn464WuelQIao078DB3ei+72oSWJRIsO7gps3TXXQn4R+cgjdQoZ9d9wsi/TQvZTd5NZuJcNrmR5eCWOm9W/XMRJViH12kzLumKJruH++KadKhpeLljITR9BP/XISyttOhlufrvodP45eN/k6ZZcaGRg39pVV26L/OR4lVa1Ohktna+gq59DnxAViDu4kw+piDmqiA7q1nMISTZMM3vkSBZwu6HvsaVantcgQdo/T7ZoHuk3N2rSh3WTYeLOHf9gHfWB774CbDhmEC15GnvBDfxavJbEIZDC3dZ1uCET/1i9hcGcPGd5m6mnohKLfZgmy49Ejg/ZHZeu8++ijFFe32H1k+FSrfVo2Gl3gYIfnRgMy6H27YRAfj37VvNI5w5AMmVvmuPmeoW9ulrJSNSZDX13Zm6AX6KUv53eU7SfDUAtZ928m+uF6vZX7DpAh3fJAltdrpncX+1vfeJAMq9y2zU8UodNuyQYcNSPDvOp9Occy9Nrvb5S7D5HhdPoVjf4KpvjcnNtkb04G2fY++TM16Ek7OU9PHCGDNHl6oasBve13bb/3UTKox2a/tm5D32/Qa8tiRQYV+XWG7TSmvOOxarh7jAw9gcYfjneip6hKK/KfIMOKjH2i7d/Q5WP0fOOsyXD2nshR6wGmeBAvqpa0IUOGXJtb1yh6crrH3wxbMgQ4XnM7/RPdV8xPUfU0GR7qb7Tom0VPt2wzeXuGDOdeNAs7LKE7aF88tfcsGe66PywfZ0v737Nzde3rzxHxGeOh78mOTrtnddrcngzJUwG5i9zoX4szDrZfIIP9+YaFQAF0I+4dynYOZBBssVTgEUWXufSLddiRDNPsqlqP16Nzvun7fMWZDNuHLypLyzD9vmZ5wPwlMvw0WLU8dzP6huuHVG67EHE4KfJOayv67vzqVvYrZJAszLCs24GuZ2R77oEb0e9sPpGtdqGHioqNCHsQeVTovX0A0H+x/j6X5EmG2huNnt766IOdI22bvMmwzaclnt0E/cKdhW05V8kwciE8Jf4Q+ih14x21a2TwWs57b4sl+oOXxxreXSeDxqqzJz5ao/+gJS3fd5OoP7JRHJZn0Nfv+qXS4Eu8F39O4og9el+m2SHzW8T9X3sn4O+M7seab/flNhnkuBqcRd3Q8wSFL54OIPLUpf9lnjf6l/fXTw8EEvV2v/Dn/TfRKeROk8tBZODRda7v80cXUNRQ+B1MvNfERK7fXfT78cEL10PI8GQ6++q6CPTG2foPbGHEXDGUJ1PyCL1X+K9XSDjRL86tKjwah36+RUKSL4IMm+dKN00/Rb/7c9P7mPtkKNlBvfHoOfqshZCpxEMirtLOvdmeiT5fN9iaGknUVYY7mZKLbiXzxEAhigych3goXkXozuoKua+jydD5AEpEy9DFSJEcGrFkMFwncKu8Ap30ue1Y+WPi/p2jFO1qmN535HucXjwZdvxtfruqEb2Do6ap7gmRv4bNW3La0GtnPKbNEsnA8i4x8CgdfcJ3jJv2lLiHRqMPS53od9yUxE4+I+al/vautF507WfKor3JRNxeOdVzaBD9KG2S42Iqcc+MbzULY+gpvS4TY8/JoHzz0sP0X+jXI1/WuKeRoaCCW9dinmmf+bEP5tPJ4MfSTGL9hz7Du+ugXwYZBmJKjV8vT//fV3mFLy5/RQbujo7npzjQA16HPQ3NIvJlo24fLx+6f+iO7Xw5xJxQOrXqoyB6SnPA2+hcMpRNLfC6r0PnNfTasS6PmLvWOi7KSqIHl7MnP8sng7GDYdOXTej7FzRYNhWSIXZ7kn+EErpSHYv5qyIyXCi8Ib5PFT1o4lSMSjEZTDaPxP/RQN+rbt5UVEKGnMbfS3na6NRzlJldb8nwkZqu76iHrrP3+5qKMjJ4XOVykzZGXx19XVK/nAwx/coBXaboJtLxUvXviflkv5jPYwv03HwtIbMKMiy1fTlicQLdht1mkfyRDIUpVwX4T6OvHfpDOVZFhuc9rCXN59HFRNc866om9pN1a889J3S9k0k2djVkuCfN8vrAFfRJzyTugVoyrDsdtozbG33FZt7XTnVEHvls2d18A335zpF9k/VkWOs/dfyBP/qPcyqNHo1EHwnrPXnkLrr2lQ79+SYiHlI49YUj0DetH8q72UKG/jbvNZ2P0PcpWfKxtZFBd4Pqp+Q49AbrDWeCSGRwj9C3uZiE7uO85zkHhQwvNpS3b32B/lii9EsElQwNLanac5norMoBrAJ0MoQ8Xh708TXTfZ5MWBfLIOqA63BB2Bv09+dZ5de1k0Fi/+lay3fo19lzNyV1kGFc8EqFVCW6OWuKsHQXGfQr5JImatHbuOh/0rqJPFW9f7a8CX3dwP5WhR4yuJnnc4eT0Wkmf2JzvpFh+bKEROsvTPc58+2w6nfiu0zaSkDpKzpH8t+loj4yHHkwfnmpDz1q5cEEzR9k4Je69LplmCneeuqUygfIYJvTRU+ZRP80eCVXd4gMvqtM+r1m0Kvoe2Sqh4l6uPiBYbLIlF/26mGGo2T4cMwwX5LtJdaHAwf66seI76y+kStzq9BHdG9tNZ0g5s/zJcKt3OiLC83ObZNkUEssTn0pgP59u1qCxU8yPDCeFvQXRe95mltO/0V838n6XD65Af3Nz11tJ34T36fDh7I1ZNGL+8i0rhkyWO4PIgkooldt9m4+PUeGiVnp7kkVdCMvyZLv88T36bMdrc3q6Kq+LY/sF4h6NV75Mns3Ou/vm2eGFslwNeTLhXt70X/c2yzp/JfoU2sDuC8boVsuNJPG/5HhvEp9nJkpesCEo9cVVgrwXSvlUrVAlxL/wznNRgGDMGt7wRPobqo+j7yWU+Dcn7dp86fQ4Xsf1/wKClw60dvUfR69u1vz6vVVFFil1dlR7YSuRvWgLrFT4Lp8QeurK+j5npEytzgo8ObVlaxH3ujmLvfPs3FRwHi/lMuNm+iJrhcfB3JT4FRQi4h9APpzObHylbwUaOwOyDgUgs6zN5l8l48CLC3Gkrvvo/9z/tPBsYYCy1sUb8lHo2sclaKFC1Ag4siOGsEn6HNpgpU8ghT41nTp17Jk9LU8bUkPhCgw+Kp31a809H61wy5rRCggfSxx2fcs9ON1kSpRohQo0nz5g5yP3ucW+V1wHQUOFXLnfSpBD+k8cDdWnAL75Rl2Je/Rybnv14uup0D4T/7FV9VMcRvdlxa/gQKJzp9uPKtnigeNso3iksS5Rhf7olvRL+yG8EQpCqz7VLkjnMa0/oFLQ+tlKHBbX9I5oJMp3nj37nwmS4HUUqmw673oV5XeXpWUo8CIQ9tDj0H0USNSZoo8BWyfaNy6PI6+nTO4WVqBAtH3T1k6TKPXi1C/P1ekQH7gkbXn/6C/Eyodlt1CAa8iibdnWDL+94SMrd/TlCmw4fhnw1Mr0UM91ZrkVCgQlWpTbsOFvnt97cuX2yig8mlAzGYNer/BN8/N2ynwa9j1tI0I+qHIWzsyd1DgpM6yCNv16M0pyX0K6hTw6X+ZeloGXVtsT9ArDQqMszknn1VA54+3FlXSpEB7kWXwBRV0zaqxxKxdFJgQdT/qrI6+V31aYMtuCjgbNnC67UbXeOR0PVubAmuPOGRe3Yte5nOIsgUooGhqte2WEfqvu0nrc3SJdzdIenbXFP3xqaMnlPdS4IGBydxDC/SpJ5eDc/QowH/0/M6EE+h1HQMvlPUpcNVz9nT6afSb78qLcgwokJbO6VZgjz7XPvpG2YgCXIOvnCqc0bPJVzJyjIl339p7sNkNPXGv8T1lEwq8di8R6bqKfrzKxS7nAAXM03Y2jvqiz09+k1c2pcBAkfPFpUD0zfYJPdlmRH24ZzvGE4YuVP4kZMthCiitFbGWfIgedL9TOtucAruUU/N2xKJXeVnnKllQYLps9ZRRIno6p6BS1lEKQPxRUdtUpvv8sSJe0YqobykPFDwy0MOTFOYzjxF5mlktE5aL/q/Jz1jhBAXKAxdWpRYxOTtbWIY1EQ//dChlZejSA9nl8jYUOD7wOIT6Ef3hX79v6bYUqGcTkJ+sRV/s85jZdJoCrkLFuZzN6MlbQxZfnKHA396IjfIUpjh3L/0lc5YCMbLPr+m3o5/Yx9aZeo6oq7Es78/2oGeony6SsqdAwUT2sP8PpvftavFLvkCBqq9FLKmj6GcbD2ptdCDyQkiKpfon0/rRtIGnjhSI010c7J9Df15vf0fCmdjPctMy9n/oI0t/BBIuUUBhlaS30orM//1Uxf1HYi4UYBvyFT/MiV6WIrk8zpUCeoZXXnnxo5uqZZ8XdqPAtTJWmURh9NFVW0ui3SmQ0qEZVC2BvpSRuiDgSdTzXdKkUWl018xVKpFeFGg+X7tKSAH9U6zVUb6rFPg+tFVOVwV9JcsDpwgfou+Y2qs4qaM3uma7cV2ngKGQh3TsbnQt7yzH0BtEfa6yY6ney7TOs5Aj7L4UcGjTqp0yQnf03rMlyI8Cl9+yX91ohq4a0jq77DYFOn6R1hw6ynQ/p7cX3PanwLuJ1Nhb1uiDd+1P/QugQKj4nZX5Z9Dlwu0Xb9yhgFi/36m+C+i3preG/gmiQMbrxBThy+jXTT6wX71LAVLvQIuJB/o2Mf6rv0OI+txxYeDWNfT9Q5IMtzAKmMxuGnpzC/2P7rj8ZDgxJ0QoU8eCmN7lpZvjpQgK/JwJfiV7Dz395auE4fsU8L6929n2EXpLTfSHCw8psP7GUeHHcejdIVvIfZHEubZ1ZpGS0Ou8Xehnoigw9+OLEk8aOr/QscbuaApk9ljF7s9C/zz0Pc86lgIXbU6NBuejB3vz3mU8psCXx/OKNSXoV/XopkfjKTBWv9VyxQd0izaNlaQnFJiR43TS/4Ru/XxLjmkiBR72RDkGNaDbQZFBw1MKVErSLD63McWhTEOL4TMKtK5lbOZkoF+hORlXJ1Pg7NfUIdNu9A7qowLdVKJupO6NetSHzvsceMqfU0Dfr3zzl2H0xx+djmumEXXvnkTmhin0pJy10UXpRD72OwlemEVvGlb/uC2DAiJxeU65S0z5+7u5KzuTmPdKZ7Pmlr3639cd/DK8OYvoO4cNv+zlQD/haj74IpsCtQ4Zk/f40Jc61WmSuRQoXin364sQugdfQGHiawqs3FzXs0kCvSJ4e4BoPgUamh6Xekij23/Ytze6gOj7409vVm1GD95eMMVXRAG7W31KAiroVaeuPwx/Q9QBT7fas+rohz/ESbKXUIDy7vDBot3ok40cKQGlFPgDYe9X6TE5W8Oaf28psNQvt87aGF2xg+Z+7R3RFx6qnM01Q+dtUfj0u5yoS9I5Mcst0cOtqlZe+UCBbZ4ZRSdOoiuPJewcrSDi7ZRiRZ4dOit74YkLlRS4Ubz7zWoH9IwNKy71VlFA88CPWDsXpnO9Cnex+USBmmGV8+880QslDe0YNRRgPym7XvgG+oZ5Ff0jnykgfr6x0s0f3TbdQKS5jvi+qFU+0nIX/XtyYIdRAwUCdI+2KN1Hf2QzEFHVSIEDoUYaYdHov02dVHWaKdB7gj9s+An6mmGumpIWCkSeK6nfn4J+J+Wz8fY2CkweNZh59RLdZyS+PJtEgU9fqrh5ctGTNW5JylMoIBCryX+lCH3PvIdnCpUCQttes1DL0FVSPEvF6RTQMVTp1KxE/5TqOxbDoICuZ2Vq0mf06cvh/PztFJgyd7Fa2YKu7vFENqyDyEcPmL1ERY+Ufrl5RRcFVjhqBdA60J+P5kj4dRNzYIXTAvSi39PJYp3/SvTZf4xTmYPo/4ITqG7fKKCcHfZacAJdR+NG3GgvkS/7w8du/0YXemt40L6PmOePfBeaWEDvv7kw+bWfAnl745Rs2LJwnxOPAo8PEP303hvlRnb0hOvc7ORBYv9pehK7edGXRZy7fmCYAox5o7ksQfRTkdHdn0aI+vCr+cN6cXTSr4RtMEaB3Lku94dS6HwS3h4l4xS45+y7dsVmdLOrG9O3TVLgUXZJss9WdHuX6LrMKWLeEIpeN6GGnuFE6pD+RfSpv+v8z+9GX0EjdyVME/2o5Ci1cy/6hFBMi+AMsc+o/YJHjdEvxQjmRcxS4EMn295mM/S170z9V81ToPBLkLWRJfrKCW29W38o0NfcfabqJPpU9NdfcwsUUF1ccxTOogsKq0RdWaJAUqKi2jsHdF2GoszwXwpYjKiw7XJFr9NpSbVjoUKsqOK7Ei/0xFwhgQ5WKpCPSZ3deRN9+/2/V44so0IYdf1sSQD6/T0BFQ3LqeBYIn91Vyj6foXkv3orqbBlk9GPdw/Q/bIslN6tosJ7uLNHNxZ9UCHeeMdqKqyVGgypTkQvX3XZMouDCiY/rn4wfo7e+rzRXIaLCo+TobclE933bL5OAjcV9p/f99MyDz3n+TqxtbxUqNW5P9FdjN77eXl/GB8VwjXk2y+8RxdScUxatoYKO44K509Vo49pGhlfFyDOG3fO+0YD+m39J70/11JhmlVEgZ3EdD95p5wchaiQeVezPoqBbtH58Ps3YSp4S7dZSX1FT5FWNjkuSgWb6h+k1/3oX/pUUlrFqOB63F9LdxR96EbMoKE4FVobXz1s/YluYmS9/oMEFYqXO1HPzKPzp17XU99ABYfvtSun/6E3D/6yyt5IhT2G9bLBK7P/93yPCmsZKSJOOK6pruNGd03uMn0iTYUfy74qvRZAN68z3LZGljjvClZBAzF0JYMFtpBNxL11Dwx3bkQ/e2W66p8cEQ/HnuR4yKEPp2718NpMBWMt6dPcyuh66hkCYwpUyDcK/pe2A/32LZuUs0pUyIKW8D1a6HvajTa2b6HCRDsbe9ce9ML4C/cObSXO27b5io8RepzIm6EaFSo4UU0+C5mh78pUUdNWpYJqjCt30VF0rxdkl4LtxLu8T9K1OMm0/qkncZvVqDA/3XNm2g7955bA/CR1KmR0al2JdkAvPhf6VnAnFSzWllzWcEVffywzL0yTCl/VbU60e6E3WffEsmpRQapDdYfvTfTZSvlL3rupwBaluygViG7f47dtTJsKByfv5X8ORb+8srfPDqgwdk3KyuUh+mSQSTBDlwq5b1cMCz1GP1dQImK6lwqXVMHpw1P0uk7ZuCo9KkydprVffMF0D0fus2vqU4H7I2mnQBa6/sUp+xwDKgTUad15n4+u4GhUKG1EBc4xkQrHUvS0lw8mHxtT4Xz8lSHhCvQgt5p1PCZU2Ln7IGtNDbqi0A+1gANUUNIsWOXZhO7/bURn7iAV2n9lLspQ0NmlKOqXzKhAqtfqobaj18g8keg9RIUnIpfyg7+h26lr/7I0p0LadgP3XYPoLKlvihuOUMH2crPU+Di6zZtlTrpHqSAjzP0x5TfT+mUbuYssqaB7dbXpsUX0tX9XP918jArj9Po6nmU5eJ+1ZRJPjxP14eqxHTWr0RPsVMPXWFPheWzpPV8+9GMijkNBJ6nQ5vKbqiGMzqJ6Sm3Bhgot6gLcPyXQdea4XV1OEXV+vdj2bBl0kwK3uO+nqfDJgt/IQRF9NDMkz8qOCjrLWA5sUkX322RW0nCWWMdsTKdvJ/qA84dsOE/83rpnYyqgP62mPSywp8JHvZ4pOwP0TPeH5+QuUsFFajpP+iD6iw8jsk8ciPjhkj7TfwS9aOwblceJuGcBj3/pJ9Af7nX18HemgpneeLjTGfRAtkesM5eo8PfF49UqF9FtrxjcdHAh6gZc8/x9Gf0eKWig05UKPfzxrWWe6OwOh3QPuVHBUuSfWMANdDPvpOAqdyo0m7y2MAlADwDXcnVPou88K7y5NhTdaNmHbxleVGhaKRDT/QCdtOzutPhVKkQ6khIzYtHHbtf+vu9D/L5gPsrzKfrPcp9+tutU0Ku5f33vC/RPs/FVnjeoEHP7yWG+LPTvl+UeDN6kwt6P0sJf89EP260zsfajQtLJrY05peiv+Nynm25R4cumT65+FehCJQrhuv5E3RsfWX64Ft0iRmdNQQAVuvwy70o3o6cNZgbJ3qGC5rNVizMUprgacRqKDaLCozUcpxo60O933tzFcZcKR6NL8p71oofNdPrcCKFCaq/otNcQ+kXPO+njoVSIeL1jk+kk+v4o96rT4VQYes1rtGkWnX4vtYl0j8jfh3nH/y0x3UMCf82++0T9Wdho/WV5Lvad+dKsNw+I+STq3IFCTvSG7se35SOJ+rzkv+XBGnTRO5n74h9RgUry/+ssij4lM/KbM5oKQjmOH/ZvRD85Yxl9M4YKZ6X3uG6WQ1+2bVhqIpYKq6q4+Fcro/NzJT89HUeFdaKU5KEd6GbvvdlJ8VS4lp0o1aCFzunreFovgQp1y1wfZe9FV77tmVaYSAUiTKYfGKMrLEW1yyZRgTJhpO95CH2l3KfFmGdUqPQ+GXTCimn/29m42VOI+p8WWaxri37I0ojTJ5UK2kNTDLnz6E+qHs0OPadC8qtbw7zO6GE5PW0n0oh4PqI/OueGPm+sGN+QToWlPQbdvT7oBz+7HNqdQYXj1JCKpltM61hnTmdlEvOJvdCj0mD03Wr0IIksKvCa/DyaFoHuH/RzZUQ2FQ6QpVdHRaNz35rz+JtDxLlJXpZ/ArqEeX/r5ddE/Cw903VLRQ9WKhL7mkeFUMX5artM9Dydc+ZmBVTQEqrQtMhj2mfxuPeHQirMzi08NShBT/l0KGzrG6LPchRMa35A54gNCk8qpsJ6v5FdyjXozsfDr/OWUmFz4Ksr0k3oK3bZHvN7SwXPffOPRSnoqefnpCbKqLDmR/trvg70JHarDttyom+GWpay96KPm3rdbn5P1I1DbvmsQ+hc58wFdSqocNdsR8LCBDqv+0BM9kei/iSmeM3MoMembVspUUW84/6qPT+X0Lvkt5wNr6YCh2qzrzfb6/89Q5qWvfCJmNPmRI/OrEA3q5D/4VhLBa8/tameq9E/yklytX8m9q/R4fibC93Nv2yDcT2RLzmWmZ586J5zvzaWNBD155i23YwA+qW8Gl65JmJuV4mM9BZGD6ZsHY1upkK90jGteTH0kLuKb5a3EvvcG3ny+nr0ml9Fl9zbiHOd05tZkkRX2N2wppdEBUX/y+y3ZdHlgi+8OEQhPEzo0fLN6M3zQbIfqFTY7qQTc1cJ/V2J7KMtdCoYcA3xc6ugrx+E8ScMKmhYiq6M3I5e/KpNnaOdyAtlkpuwBjpjE935agcVBH2EjiXuQr9848CDH51UqBIaKpLWQe9v3pJs0U30ox8HwjP3oB/W9U6q/EoFiZp9Hdv00ff/lAlT+Ubcz31ySqkROsvK7eee9hL7X7fYu+cA+raERAWuPiqw6n58Um+Grk493e3TT9x/m2zTkSPoo61X/QZ+UCE6Rcm7yxKdlPON++ggFeT8GXEXTqBP3osNqRyiAr+OktpPG/Te8JifW0eo8CZZwfjmGXR6XbtR4igxz3jRqOzn0R/ZnQ7nGKfCC3/VjqiL6Bc9pMu9J6iQHbbnuKQz+m7xjR19k1QYOLLyUI4LeriX+Y/DP6nw+knABy13dPukN93vfxHxIPkuvc4L3TbfqFrxNxUMn+WzH7uGXlC/PPbxDFGfSQ69P26ib1w2YLlijgqirn07vG6js3qNLHObp0LCFlmWlXfQtbR5nnb/ocKp98r7Yu6iW7iZyJosEnWMvIxVLhzdVDkprniJCnSxdPWS+0xxFbJiQfofMVfsWddv/AhdJvGa8QMWGlRO2XF1xqDP+P0JXGSlwS7yrazL8eivjW9nX1xGg+ow70+sT5n2yc9ZRVlOgx/vja2ik9HFxh590l1Jgz7uP2c2v2B6l1/CRVmraNAmHNZf/hK9SvPRQ5HVNLjm8++beRZT/FNZrQM5aODVdNxqMBd9e8cp/klOGkhkJej7FqB7nMootOamQfir+qy1xeiKXu37anlokHjqR/irt+gdqhMfVfloMH38Z//e9+hJL78rPuWnwc/NU8XtH9Hlhwv8VwvQoPhkP5v7J/Sy1SdrPNbSQPFmWw1nHVOdEWXMfBWkwZhAybIXjeg9m2XWmgjT4Fz6k1KdVvT2A7vXvxGhQV6Z7yCDjJ4eKS4oKUaDN6SzD9zp6K6cH+fC1tFAyPlgHk8H+kCNbN2MOA2UV+iYZHajW1MMgs6sp4G46E5bg16mOr93o0rjBhq83agz3NuPrr8xp0ZdkgYJkeYTfkPoGtdHjZOlaCD23fuSxBi68Bl6KacMDXQCX58rm0QX+uoo5CVLA3r/X8rxafTfrKmnejbRwMHz/Pu5WXQO2vXo/fI0UHv6Y+PjBXTdC1PFhZtpsKMucFHjH7rgx3816xVpIGWz9zCDLe9/fzqeUnlXiQZn30tu8FmJfu0PLfPnFhpsMpO1F+NAHxmP9Tu5lQaGLmab3nGjv6d+061RocHpGymnbPnRD5e8Ht+qSoOKto1rWAXRU5JYQuK20+DS50bt5yLoO6OaeJepEfssftlrKI6+/alAgLM6DU78fMMyugHd+FNzL1WDBjsb52MfSKNX8C0ogyYNUqLcX6rJoXsHR114uYsGsnGbVDsU0Du3xobz76YBv6yg2m1l9D+8/xKvadPg1O09eXKq6Oe2fH7yXYeoD9PZac1q6Gb3xu8c0KVBUtVJQS9N9Os7Lp8s2kMDbpVDSxLa6LpyehvW69GA6hNqW6OLfs/BoTloHw08u7k1Xfah9/3tdJjQp4FoXGe4iBG6xXDclJUhDZJ7545XmqBHKSecrzAi8nrq3DNnM3RG09dP8vtpYPxH6rTwEfS/dafXPDShQZyyWlylJfoFmXUm8wdosOV9osnlE+jC3RyuZ0xpcIBm6y1my/S+s4q368xosJh8Tbz2DLrSlWu+2w7ToNf41y6P80zxtv/nhThzGhyfridJOqDT/O9rs1rQwP7Tsr4WZ3RlUdN/F48S+diddNnXFX2RUyG71ZIGJaeS3bZ4oB85vsFw5zEij85zTHZ6o3/5u7kp6TgNAjm6foRfR2+b14dV1jS4cGGdlbYf+gpDl8TLJ4n4iazVHfdH7+lNHqDa0MD16ffUpCD0M3VfJLRP0SAj8cqtw6HoQjNrdJ+fpsGXp+60ZRHoiueMTTntiDqWM/LizUP0Ezw+Rm5naRBL7xh3iGaKz/FE5S/naOAvaZAnEYc+8a+ARdeeBusjlcbaEtDLdhW/T7tAg49KD1OCnqG7PE69yO1AgzM/Pdu0nqMX83v+dXck6tu3Tp+pdHTSU7lb7U7E/c/UPkl/xRRvGsVjupdokKqoqWGbyxQ/5A2G6ZeJfuetekCwgKk+ONiEc7sS520tam98g94/4VTufoUGQ/KfegPfMv3exrD9ixsNWK/YndN+j34yfaQXPIg6H3v/1MxHpryosqC/8CT6S5ApJfcT+o4032JObxr0b06udKhDv7HvfMCVqzTguBCiINPEVGcil2vRfWjwV2o119dWdKOAY927r9OAS1fqQjwF/TOHzaWUGzRY95SmZclAf76OZ3CVLw0KxeRD13Sim7+8YHrJjwYsD0XMW76id6Scf0a6RYPPXzIehX9H/7a4rFvDn4i3hi7T/QNM9TxdZ1ViALFPzTcB7CNM8fmIX5ztDg2EZ3eo1o6js+dfFb8QRIO5NusTQT/RRX66sDcGE3kRq7SoP8O0vt6vryohRN9ckyG88g96TfTflOhQGqzhIGfVLKEfoN87/CeMBt/2ZZUFs+bjPDmTMGJ7jwYDd9T3Ga9Av/RN7kpVBA14ItwNOFejX7+j0Cv3gOiP685XNnGhf255phP+kIjbEa6SB3zoPNlBQZORRF974yxnsRY9ajWj1CKKBnI7gvhERNA12h4wSqKJOilq7d65Dt19IqtXPJYGe0XHzJI3oB8xk2fcekzUw+/aafbS6H4df0v64oj9y5p5Kcmhb/NVumP0hAZKoVIVPxXQtSWzd2clEPWtrDSgVBl9bc6Nr7xPifVPCX28pYpewB17yT2JBiGiu64aqaMXyc/9oD0j+kL4pgy+XegHBp6Y7EqhAZ9l15Ev2uh623yfJKbSYPva01dT9qDPjsXTWF7Q4Ovp10LO+ujnl48vnk2jwT9yi7K6MbqQtTtPbToNRJZVVLAcRN/J2MSpkEHMybf9GxsOod85s/xXeCYNOL+KmMdaoFt1rqqZeEXMz5mBh88eQ0/csiXQPJu4B9fa+q0n0b9oum4pyiHqUklv+eIpdOX+xo/Cr4l9cjAU6s+imwvAnmt5NKgfecn/+AL6g/TKV535xHt1WbrZO6G3BR5hhUIaHLP9fkDNhSl+7o3tSS6iAWPULHm5O/pYavilZcU00Fr21IXihR6aoRR4voQ4l2hL8fNr6G/86u7UltLAKK3Px9MX3WTVKbfNZUTdEO8pMvBnivONQ8Zh72iwebTSSSSIKa6yznKNldNgMDDiyXAIumZIfanpBxocMd+nX34PXSxW1Px1BZHv5f0XHzxEzy08QOWvpMGwssfKc9HozhWn9NyriHtbPSWxMw7d8rFpAqWaBu9f2+RyJaILign2qNXQwDug7O23Z+jfpHJ5YmtpoPGVU7f4Ofr9+yLyc59pULr+ENx7iR62+6DS8XoamMSHlJzNQu9cYbzubQPRv9JLX+16jS5Zu+q3WBMNXOK/iawpZHpf6zul15tpsLuKjWW4GH0+sfxiZwsNQl3Xn6ksY7rni1ls2m002DeutvvJB/SF6IPBiSQadN7Z/9CjCn37v4SZJTIxR/nanDatRU++GXPIlkqDZeKuGfIN6PzDatHvaTRYlRzgvKwFfUrcu3o9gwbtB+IyuklMdWn8aLfvFxrcOJl/+i0NPUStube7nbhnjtaHMe3ofPUdbTqdxPdjxK/d7t3oSf7XXj3tIvJ0w3q7Q73oj9XSXP5208By/BCr8g+m+yk5sd62h/j9lntiXMPo53ofFZd/I+rVakr28Bg6S/BBLYnvNKDlbCqrm2K6h+sBGTf6aOBsELQ34zd6dtQ2ts5+Yk6b+aUXMo++Pu2IvtYAMVd/d/3gsIQeE9DvFj9IzOdb/xbuZy3434Hle+j8EA2yZhNklFagT40b3js2QgOBE6Y8PKvROaT4rhWPEt8vrgJuk1zokU4ah4XGaVBzeMyMzIe+MbF0jecEMV8JdKW/WYs+ERz5njxJfP/WfveJF0H/vFhuofqTBiv82Gp8xdHXNWpQH/yiwQaDXeFnN6IPf1qAiWkayMuHNxrJoJNKV0QfnCHm/y3zQcry6DzehymvZon52dq/bK0Suntj+9LqeeI+38g7LmxFd7ybyH/xDw2qdMYie7ejs/hE89YsEPXqZ6tavQY61en9rPQSEYeNFPN8LfTNymvrb/8l6kDt/FA8oLeFRwZ9/UeD3C+6CwF66AYWalu0WenwbCYz6JIhevihufJ4Njps5dMMtzJBtzpI3zm3jA62gqOce83QewSbE4+uoEPaz+oVW44w3YMnYzR/JR2mH1b7iFihH1H7KcvHTocX7SMXlluj128UNr60mg7ReVqtk7boEqx6lvUcdGCZL8zvskOPT7pyUI6LDpkPjvE22KPLfnqqHMhNh6Kjcj9KHNH37KqZ7+GhwycpKY30y0zxVvs9R5uPDn0txmwxbujbt/86GM9PhyjVJMM7XuhCBpO0mTV0+CAhvcrzGnpiDc34yFo61J+h6Z73ZTrv9ZS0XEE6XG8snT7qj26rYDbGKUwHkc3NUoZB6L5xDImLInQw0F3bsDMUXSBi185qUTpIMsLHFCKYvMl198Z1xHsV7gyViETnW+etcEOcDmejRZL5YtB1dxuzMSTosHHXFtXl8egXp3urtm+gg4qtt/ZcIvrvlbou9zfSofntbOVoMvqg+snlI5J0SFyZW/ntBXqfwfYAA2niXX4n7qZnoEvPV4wky9DBVfOTSlM2+k1eVp0lWTq03ZJNqspDtzeZ8DkmRwexqx+C3xYx5fWl4KQCeSIe6h4N55Wi12h8yuFRoEOKWGptRjn6Nofn6Q6KdAjmH1+f8hFdpHJjaLUSHWLNPCfjP6H/ZVW33KBM3KeH5u6oOiYf+Mp5bSsdVolrsUU0oTNUxV5RVOiw59u1vXfb0L8+69m+VZUOF6znF/2p6JyTymkh2+lgv6F4m+8X9KEuFra+HXS496Gwx6cLPVvO3FBHnQ6PG36u9vrGVK9C13s91qBDauuVbLd+9Gcfz0T83EmHzcdVG1yG0HeHCj84sIsOPGM7zl4aQ49N0rqepkXEOf81T6cpprr3rs6MRZvYvzEbm+NvpnhLLOc+oUOHiLXN7A7z6GF/1hCvRIcrk10hF5fQL9z/pM+9hw4dVqp3LrIW/u82gm0f7PfS4V9lw5+LK9DL9LdJV+gRdSY9c9hhNfqVL99cRPXpMOrdYuHEjb46pPuFmwEdxp/v0rzEj/6aS/pTgyEd+BNGY10E0RXFXzXJGNPB+nO/q5soOuOy24eb+4l3j9xU7SmBXlXmEU8zocORU7kPfSTR75Rm2249SIfeyFtfbsqi260X5bprSgebe/FP/DejKz/LT+kxo0Nc1hI9eAu6/bSnlOZhom6YZEbc24Yu22ob9tCcqBtVzz48UkMXGbzYNXSEiAeHb47xmuhxk/dF9h6lw8WHzg+StdEfJ7bsjrekg2/YXpWMPejPU6T3/7SiA/3F2f15+uhD+cG6+4/T4aNia3epMfrO27MbUk7Q4fv5u2OVB9HnPlwenLemg1Z8uFfjYfQdkkNxh23osIGry4d2FD3S0m5Hhi0dYNFntuc4+nF+WjHLaaKevDw7MWKD7symK3PsDB1iDsSfmT2Dbt7+xCfXjg60jetNl9mjKxn3F688R4fz1hOFvI7oxX+Fv9qcJ+5/K0+M+GV0q8ytE4X2dJBtvja12Q2dY0FukPMike/n1Wo1vNAvJi3W2TkQfWqDjrDBNfQ3+hlRpY508N4U/c3CF73+yWYjPmc6ZCXt2nTOH32DmU+f/SU6XMtR7ncPQidxRTmUX6aDv/uV9YGhTO9425Mu4EqHAq5lpKgI9ObjosqOV+hwMPr7vxeR6I57rl+qcKNDj6zAy+IYdJa+mGghDzqYUB7W18Uz7XP0QpqzJx0qC05d6HyKnrhyOKnSiw5llBu+Eyno4x0i/iJX6cCuP8S7LB2dLjR54LIPsQ7vi3XCr9BXnXFiqb5GBzPt18mKuUy/PxuUIHqDDg5kjhTdAvRdn3dLutykAxe1UNyyGL1WPTSi2pcOgXtz+J3L0HOsHPtEbxH1R3T2lv8H9DoSQ8rlNh0KLe47xlWhh5i1GVf708Fn1Kv5dS3TPj3NjosG0kGHlp31uQF9esj08OU7dKhavmPFtxamPLJo2FYVRAehi6sZ82R0QeuKP8J36XB/bIusAAOdnLI5yzmEDrV+yaNKnejibWwGH0Pp8HLlOWXDHqb6E2r4WTCcDicveA6f6UPf4/FL1fEeUScDqRtvDqLnbmMLeh9B9H3twLbHo0zr2Lt8XPOADi4utxcLJ9E73qj32z+kQ+N0Y3LbNPpk9ZGpt5F0YHth/3F8Dj1+e2U/TxQd+i1MrbmWmPb/4malXTTRv2gBLgqsRf/7wbLbwW9iiPicX/nXaAV6rnD9Do7HdGgIoa+8uBr9jLV5vU0cUVcP/w4J5kaXlhMyyounwxuR08Hp/OhW6/hzlicQ80aK8L9aQXQWhs6iVSIRV3nrpgZF0asX41VfPaUDY5mzDcd69GF5ycN/k4i5yJJ9n5IU+rGFRqvDyXTIPjP53HQTevSaeIPnKcTvu6RvXVFAp3AFSsym0sH5Rgo1ShmdGhzUafyCqAOTTi9KVNEFJBMDEtKI/jLoN9Gpjh7lWbVmIp0OczzdBaxa6PxSv0P2ZNAhgDvo5yZA76zcMvQokw58od6vDuihD/66qPLjFR3+yOV3uxmikw+lnNqZTdxDsFp4nAk6yYPqFZpDBz9D1sIKM/SqP0uenbl0WGAVtBw8gi53U9hGOY8Oj8xc3fiOoYvHSCjdyqdDy6c1qzVPol/4yvm9rYDoU7MLonan0S/97LotXUSHYx6KL8LOoe+8eJ/d8w0dPtc9yyy6iH7lyzrvmmI6KPpbK/Q4o1/s9m0SLqWDsKy1DOcVdF7eQk6Ht8T/aiQ9VvdEn2Ar3va2jA5btOSC7XzQTQ8HAGc5HXJyf05E3ESff7BW7eR7Otjxs5LLbqO7HrNfk/2BDn+/HFYZusN0n9oe9KUKIg5v9a0SDkXvpWkGmlbSofxqyXH9CPTlpfkiSVVEndzRJOsRib7Xpz1qopoOTySlnFNj0A2ysuaghg7nst4okePR7X7I7HtQS4cw7dALy5LQA8t0vHs+00FNK0F8Ryr6/g+/H6rUE+dlHzU5n47eF6gfdauBDl4rfX7HvELXStrs29pIB73IvaJ1ueifnyWabWwm4nalUfFCAXr+ukR21xbiO/Hd3RblEvTKZOmMD63E/Mm+3M7uHbp9tdI2XhIdtmuXXo6pQM9ZW/jMlkwH+cz03/XV6Ieki2azKXTQTmie+fcZPeWWovoSlQ5Xbba4qTUx+bs1Jw/Q6cCqVnXBqQ19zt7e4QmDmAMv3KcnU9G7eaRsh78Q9U3t4UfGF3QjvT27NDuI+a27VpavG70i8sNScCcdqp+qLjfqRb8R9vglrYsOQTmtJ2/9YIq3stpdsl/poLsveWvpMHpZrlGhew8dLB+l3vg5zpTvv4UEK7/RYX8jTU/pF9P6Yso2fN/pQBbfdcd+Fn1ZZki4bR/x/ZvbqJu8gH5HRTY1q58OStn3vDr/oedpLj7784PIi103Noksf4PxcIgjyGiQDuI+sYcs2NHXs5qYxwzRwTOke/oBFzoLtXRF3zAdqMGHBJr50OmW5s+2jdJhdcToK05B9Pt8fFJ+Y3SYz897byyKXh42Hto4TocSjiSTuxLoCYeH2kUn6XAzrcC8VhKdY2SB/8IUHV5EjZNXbkKP6JFUKfxJ1PMe0xYDBXTTt5ZqrNN02PWIvC9YGV2SJUbS9Dcd1uRf3/FZFf2qZsd0/Azxfapr8HS1BrrLmGTuwCxRH7RV/U200FtSzh/aMU98j6Tr9NwD9JmvyYxbf4g5xNuxpFUPfUGBZNi0QMyfaYUca43Qw1f/TBRdooORnDjd6gA6J+tS+/m/dJgYTZJIOITuFjP+N+8fMc/363T3WKA7mlau/svCgIKlWZFNx9GNst0XjNkY0CRR3+Rkg/5b/S85ehkD1JUKF/POoAu72Dz6tpwBu7mKXsydRx9ghGtuWcmAnU8bPoMjuuVscM3VVQwo/DBzPvgy+siB/buq2RlgbKJ2s8UN/Yd1SxQvBwNyRIJ4RLzRxdLW0E5wMqB0cUD0zHV0gWzevy+4GGBZdzwp0w99ceoj1xQ3AyIOtj+dDkBP/i3DtpuXAcFHL4rAXfQ7O3d0B/ExwDuTjSs0HL1q18izNn4GlKx56UN9gC53Q3+/uAAD3hy2OiMZzZQXN3Ta7dcyYFqOt+pSHPqn0rZDeYIMEDjS/PRtIlNeFPzJXhBiQM29R9OrUtDLBgun9EUYQL5vU300jWmftIV1D0QZIMmjyPM8kylP/9QrtYsx4PnbP20/c9C1yRIyMuIMcNjXwLu3AP1R5wTrZQkGPLB6UvuwGD3+0e6a4vUMME10mP9Whp7i8c+VdSMDJst2vFCtQM9Z2M5mIsmAesuF+oBqdPvnVJ8oKeJdeN45Uj+jiw5/pXdJM4DrlmegXBNTvhuaisvJEu9isEnkWhtTvmiIG7puYoDzfKNsE5Up39X0j5XKEb7lYvbGdvTxkmozts0MsPKYyfHoRt+tHbPFRIEBf096KdT1oqtrFU09UiTO6/5jw/oB9HpFiYROJQZo6urfdx9BfxBcpySrzIBa44dX6ybQK2qKUi9tJc4lUNexYRrd8EwXyxsVBiiKj5R4zaEXNGvt+7uNAea9v3mbF5neK6jxksF2BpR9HeiRZS3+3xv+ht6M2MGAorAPir4r0Edz3NxpasQ7nrg+SVuN3srlZ7ZegwF55aJbVXjQT0S84rffyQBf6biBkDXoghm/SrM1GeA5OyvaJ4S+jWRu9Ps/tusDLsfvAfw+yRYJUcqeZSQz60RklKgQKikjM5HVQFZIyihkJ2VmREgZZZdZyX3dZlYpkl1GPffzfD/P7/T6P4/Xy+v9/X7cct3nOudc5+qtEnoHut3s31j20GXXk/v2VYk360Z8jGwqe3yLQQ1X99Oso9oDQn60lD3N/J5Ten+V8N6iE2vfTvYLLZyX6Vlq+rzTFic6yF4y9UPw+AEq0bqy6ZCaXWS/Ptdn6f6BKjH04JL707uXG4f472NyrTTr/cCOBzctZP8VNb1+p8EqcXnU+uGt+8uudzLtwgJrldj7d6jm3VJ2Q1t9q6QhKvG36HHcG2vZQ/Ktz1QcphnPhZ22WdnIvuuPU/Whw1Ui5MGo4uiRshsXDRocaqMScy37ZGmPln1rr+qeWbYq0bvqx/bTxsneefB+L0M7lXjg5l5yy0X2O2squ0waqRL1V0UONHGX/c2Mbp1jR2n2mdgtlTdOLTf+k9rlFdirxLjS4QOLZsheTXkW1MVRJTolXi129JLdZ8CImotHq4SH9td2F+aXu/5qCxcmj1GJt9WfZxgtlj1v58gbFZ1UYnfR8p8r/GUf76n6bT1OJVY8U23NXS57tLqGfsh4lfArfHd0xGrZj7q/1n80QSUWDIrpc3ad7F+mT/jXwEVz/SX1rRtvlP2ci9edCa6aedi6a9rKzbI/OWzgv2/i//3v/ruVHyH72wtOem/dVGJjFx/huFP2RsUtw9q5q4Ru181myXvLXf8j3y+zPVQi/+OYXa2jZe9/crTF6cma7nlledgh2cv+nJz2Y4pKfDiS/rzkmOxhzdf6WkxTieMJSxKmnJJ9xfrH85Z6avaf4OtVHp6VvfGebSNTpqvErjZxj/okym5/44Ze5Zkq0X+lmf7hS7InzZyYNHSWSkSG22bVT5X9+A/nYSGzNfutfVnNlTdlr3c/MfnBHJVocMT60uc02Xc6+zSoN1cl5q1vluf6oNz1V17tONZbJUqeBYfczSy3jsxzF0XOU4meG1Yd7aOSfeHwHcufzVeJ/UuqDTz2TPbp8VvmNF2gEvFBDR0b58j++OEjS4+Fmv1z64nnG97JPq+mfcnBRZp17Z+e8/eD7JG3am7PXawSvg1mu3kVyu4x85+Bia9KxPQMHfvqa7lxHtd85Ww/lah0tvMth1+yz/w5/8EJf5W4ON7u9I0/snc8/KnilwCVeP89t75FhQtynT4KMei6TCV22v3+clxbdt1sG/2Fy1XiYYdVQ5tXl/1WozbF5wJVwt8hsNE2HdmD/upfKV6huf7ln91r6sl+/43BrN6rNPuP9/1WK/RlTzcz+eu/WiWOvTR0/2Uou9Ngq/mX1mieU6sy9L2ayl66ctK90iDNPlnn2+B3LWX/MXypjuU6lbjS1a/QpZ3sbUrDzVes1zwv9k7VfdxB9tb/DvRNDVaJKr/jj43oIrvF4QOmlUJUYv4nt6s3u8vu4BZWZrVRJRoaz7Sz7C27/sopF1aHqkRTkwdjLvaX/dFc47E3wjTzJD4ku5uV7CFrE1SVN6vEAfv9D08Okf1z23aW1ltUos6+qoNMbWV3PekdErRV8706XzU7NEr2t/7Bl26Ga/aTiFvbWo6RfVCBd2aVbSqRPbHxov3jZX8/oel96+2a+9Uw8b7xRNk/tt0cF7RDJVRD9u7f5SF7s5Mp825GavalhbcLDDxlrzjiuGGVXSrRr0X3UztmyZ7kant48G6VuHQv51NDb9nb99tjuGaPShR+Sz+4fYHsL6x3zru+V3OO0vmS1dBX9jrZ/eMq7decwzfbLduxVPZTg4PuDYxSiX9FOfsNVso+vmhWxooDmvPk7sN9dwXJPsmsIOlqtEq0qLjf3niD7BfdytaXHVSJNWtvvNwXVu77qqL79o9VCett+rktwmX/8DUzM+CQZv/ftMkzdofsHapvGJl0WCWOZpu5m+yR/bDP9ZMlR1Riyo3vmSeiys3/YP/vPY9pnqfnlCtdY2W/GXvMeNFxlbCt+LxV4lHZ3ZuOMj0bpxKPi/9oiZOyt7WdYvz1hOb95VPXCTfOyD589ZtvnU+pxNaOK01sL8ie3OTOiTmnVcJT661PZnK5cZ6va3csXiXcz4zt4Zwi+5ass4/yzqjEqtVP5r25Ibvl7tMWbRJUYt+5yW1mp8me1kQraPI5zXlmbbHjj/uyh52OOrf/vEoEddn6e1mm7DFHNqQ/v6D5vh/NDKuryu0DzknXDS9q3hc+3o/f+kz2ZUYdDjglqURFj5nXm+TI/look8OTVUInoMLIo+9kzzK4XP3RJZUwmhrq0CO/3Hr593irzhWVeDGo7oPUQtlthZHW8Kua/VAEXR/5rdw87xIyOihFJbYtzjd//kv2462bb0hNVQnzGn0MZ/2Vfe/c7JjSa5rzjN5Cv5IKifL8MOnQwd43VMLtSITjusqyW9mErV10UyUOv46MaVhD9iaB6+3ib2nm4cNl3odqy35g1OaST7c18ydwwNme9WTfr3NgXfs0lehS9sL7dkPZY6ue/zMlXXNedRwdO95I9sLQdIf9dzXnw1V7Rxc0k33mN/XGp/c062LTRf+lrWW/vPrVcf0HKvFsSUxjXRPZLbc8OWn/UCU69nLpFt1J9r8zk7aFPNLsVzef3ujRVfZ417XutzJUIsqg+cO0nrI/vtBDVytLJa61aO/o1lf24LTrB/o+1uxjD4vsvlvKHveqg8HibM17UJ2F19YPlj196Eyf0080+9jN+FNNh8tuMmrJ6QKVSox4Fqt/zk72FCuHzNZqlUjpYvfD1lH2Pt7fVG5PNc/T2Bjbt06yFzd3So18plnv9Y8aBbjIXjtmSVjmc818Gztuan132YcMdrTUeakSW0Rcm7ip5e6v3ess61ea81h0zCTrmbLfq9F8RGCOSkwe2b/eKy/Zu92scSTxtUp00F3Q389H9p9pO/O+vlGJR3FWr+svkX3K5Ls1O7xTifWfjpSeDJA9SNmpN/W95ry0OXqrzQrZGy6u+G9Pruac5tQxKneN7CFr/qRl56lE439WbVcHy17dbnVAnXzNc9PibevmYbLPM9hed2iBSny7WmPP5a2yjzbrHBz4UXP+sT4b4rJD9hL1kPcXPqnEAN/n33/vlt3D/VnrL4UqkVtp1ePIqHLrpWbe0PZFKvEnNKqTRazs2s2mjXT/ohnnK90rKEdlT3tvbxH5VbOP9ew73Pek7NNjY6s8+qYSsyJO1zI8W+76Y9zOV/uhEicWbBmSdEH21iZLbCx/as4Dc57+drkk+zK/gtTFvzTnsfrr25SlyG727KzxyWLN+9Sf7WlRN2WPCn/g/L5EJfJOa+cOSpe9KK/HUuM/KhGdku6f90D2r8bvV4z+q7nvZz6sC8kqNx+WqGZs+Kd5T6/pXLuLIvvvPtW7p5aqhJONUa3s57L3j/N5U1ymWY9f2q/0fy376Tr1FnauqIh5voHezXNlT419/WGqliL6TjB6cqtA9vUJzwfsrqSIvdV+J3gVyZ67rCwgQ1sRj3800NH/IbvnYKtd1aoo4nPY7GeXSmR3tDm4u39VRRwZ8LvltFLZj2YYr1hQTRGB85Pe1K508X+9hfGxoUerK+J80PHGF6rKbjZ7yLeXNRQx9OWddPdasn+vUBjYoJYi8pU632vWlX2M0c4vw3UUUf+RX/i5BrLnl1oPDqytiJLGVePcDWWv8OGzf0IdzfXUPt1Pp6nshw03ReTrKpr3tQXWiS1l35HZYktTPUW8bD/y1tR2so9zjJ43up4iuuf3uarXUXY9pVa39fUVYbaiZ5erXWQ/Hz1BudRAEZPM+xt69Sh3nV/Wun/VV4ROf1t/oz6y19LadLdNI0X0yXEdnS5k76rnZehsoIioMXNj/AbJ3nmSsU2YoSLiHwV4mQyTPbR95MRrjRURsW7lSfUI2Tcdezb6l5Ei2h0NmL7BQfbuLd90NG2iiIqTPSP7OpXr9w59mNhUETOf9R9Y6Cz7n3et121ppoipfcs89k+S/eKRcdVvNlfEvpiDfxymym4/us+ckhaKCO5pWqvKTNk9mt8506GVZn7WDgtP9JJ9sO2/Z26tNZ8feDd8jo/sOrqZeVvaKOLbhxe1WiyRPejQ4Cc32iriuP61v9kBsvcbMepwcTvNuD1ZMCVkhexz+xQ6m5ooYnqvIquBQbI3PW741dVUEcMGdNlVHCy7lvJw5qYOihj4q+vMk2Gyr/tT82ZqR0X8c/5+alq47O9sb1X60UkR2XO85jaJlL20cmnLtmaa9dV2b0z2Htn93Y61Gd9FESdXLHcMOyB74ua0mhvMNZ+fW9t36CHZH2aNzUzuqgiHN9b6Wsdl3zPJZmlhN0UU3mllmnxK9mOzo6s366EIg9oHzy9KkH2E2YQl9j0V8WHb1aQuF2UPeT3zzspeiug0dFHPT5dlb3/x4d8zFooYrZVicuRauXX0KUjvXW9FBB3YHTH1tuzWZ9bV0O+rCG+tykta3Cu3ri0fvbXup1lfxT8evXwk+/a7zlGL+ysiwWlW9J5s2XOCW1oeFopw/Dbpo/NT2Z+faZmistTsD0EZxw1fyX5ynlOr6gM196Vx8lvlrexOzS/OsLBSRO7aRuGRH8qNv01qJ+1Birja48C46x/L3ccXtiEzNH3m6rv3xxfK/qB0cUnZcq3A//f/fy/XqvCvgtb/899/yrQq1Kcb1D050b5mVt0rpRV0V1VsUTTc0LfhX82f3+CzupX4oLbmdyXdCv/HryLxfxb6lf+zVP7f3x1l+f9rRdTCSqiNlbEKVsVqWB1rYE2shTpYG+ugLtZFPayH9bEB6mNDbIQGaIiN0QiNsQk2xWbYHFtgS2yFrbENtsV22B5N0BQ7YEfshJ3RDLugOXbFbtgde2BP7IUW2Bv7YF/sh/1RoCUOwIFohYNwMFrjEByKw3A42qAtjkA7HImj0B4d0BFH4xgci044DsfjBHRGF3TFieiGk9AdPXAyTsGpOA09cTrOwJk4C2fjHPTCueiN83A++uACXIiLcDEuQV/0Q38MwKW4DJdjIK7AlbgKV+MaDMK1uA7XYzBuwBDciKEYhptwM27BrRiOEbgNt+MOjMSduAt34x7ci/twP0bhAYzGgxiDsXgID+MRPIrH8DjG4Qk8iafwNMbjGTyLCXgOz+MFTMSLmITJeAkv4xW8iimYitfwOt7Am3gLb+MdTMN0vIv38D4+wIf4CDMwE7PwMWbjE1Shgmp8is/wOb7Al/gKc/A1vsG3+A7fYy7m4QfMxwL8iJ+wED9jEX7Br/gNv+MP/Im/sBhL8Df+wb/4D0uxDCvY/2dF1MJKqI2VsQpWxWpYHWtgTayFOlgb66Au1kU9rIf1sQHqY0NshAZoiI3RCI2xCTbFZtgcW2BLbIWtsQ22xXbYHk3QFDtgR+yEndEMu6A5dsVu2B17YE/shRbYG/tgX+yH/VGgJQ7AgWiFg3AwWuMQHIrDcDjaoC2OQDsciaPQHh3QEUfjGByLTjgOx+MEdEYXdMWJ6IaT0B09cDJOwak4DT1xOs7AmTgLZ+Mc9MK56I3zcD764AJciItwMS5BX/RDfwzApbgMl2MgrsCVuApX4xoMwrW4DtdjMG7AENyIoRiGm3AzbsGtGI4RuA234w6MxJ24C3fjHtyL+3A/RuEBjMaDGIOxeAgP4xE8isfwOMbhCTyJp/A0xuMZPIsJeA7P4wVMxIuYhMl4CS/jFbyKKZiK1/A63sCbeAtv4x1Mw3S8i/fwPj7Ah/gIMzATs/AxZuMTVKGCanyKz/A5vsCX+Apz8DW+wbf4Dt9jLubhB8zHAvyIn7AQP2MRfsGv+A2/4w/8ib+wGEvwN/7Bv/gPS7EMKzj8Z0XUwkqojZWxClbFalgda2BNrIU6WBvroC7WRT2sh/WxAepjQ2yEBmiIjdEIjbEJNsVm2BxbYEtsha2xDbbFdtgeTdAUO2BH7ISd0Qy7oDl2xW7YHXtgT+yFFtgb+2Bf7If9UaAlDsCBaIWDcDBa4xAcisNwONqgLY5AOxyJo9AeHdARR+MYHItOOA7H4wR0Rhd0xYnohpPQHT1wMk7BqTgNPXE6zsCZOAtn4xz0wrnojfNwPvrgAlyIi3AxLkFf9EN/DMCluAyXYyCuwJW4ClfjGgzCtbgO12MwbsAQ3IihGIabcDNuwa0YjhG4DbfjDozEnbgLd+Me3Iv7cD9G4QGMxoMYg7F4CA/jETyKx/A4xuEJPImn8DTG4xk8iwl4Ds/jBUzEi5iEyXgJL+MVvIopmIrX8DrewJt4C2/jHUzDdLyL9/A+PsCH+AgzMBOz8DFm4xNUoYJqfIrP8Dm+wJf4CnPwNb7Bt/gO32Mu5uEHzMcC/IifsBA/YxF+wa/4Db/jD/yJv7AYS/A3/sG/+A9LsQwrOP5nRdTCSqiNlbEKVsVqWB1rYE2shTpYG+ugLtZFPayH9bEB6mNDbIQGaIiN0QiNsQk2xWbYHFtgS2yFrbENtsV22B5N0BQ7YEfshJ3RDLugOXbFbtgde2BP7IUW2Bv7YF/sh/1RoCUOwIFohYNwMFrjEByKw3A42qAtjkA7HImj0B4d0BFH4xgci044DsfjBHRGF3TFieiGk9AdPXAyTsGpOA09cTrOwJk4C2fjHPTCueiN83A++uACXIiLcDEuQV/0Q38MwKW4DJdjIK7AlbgKV+MaDMK1uA7XYzBuwBDciKEYhptwM27BrRiOEbgNt+MOjMSduAt34x7ci/twP0bhAYzGgxiDsXgID+MRPIrH8DjG4Qk8iafwNMbjGTyLCXgOz+MFTMSLmITJeAkv4xW8iimYitfwOt7Am3gLb+MdTMN0vIv38D4+wIf4CDMwE7PwMWbjE1Shgmp8is/wOb7Al/gKc/A1vsG3+A7fYy7m4QfMxwL8iJ+wED9jEX7Br/gNv+MP/Im/sBhL8Df+wb/4D0uxDCuM/s+KqIWVUBsrYxWsitWwOtbAmlgLdbA21kFdrIt6WA/rYwPUx4bYCA3QEBujERpjE2yKzbA5tsCW2ApbYxtsi+2wPZqgKXbAjtgJO6MZdkFz7IrdsDv2wJ7YCy2wN/bBvtgP+6NASxyAA9EKB+FgtMYhOBSH4XC0QVscgXY4EkehPTqgI47GMTgWnXAcjscJ6Iwu6IoT0Q0noTt64GScglNxGnridJyBM3EWzsY56IVz0Rvn4Xz0wQW4EBfhYlyCvuiH/hiAS3EZLsdAXIErcRWuxjUYhGtxHa7HYNyAIbgRQzEMN+Fm3IJbMRwjcBtuxx0YiTtxF+7GPbgX9+F+jMIDGI0HMQZj8RAexiN4FI/hcYzDE3gST+FpjMczeBYT8ByexwuYiBcxCZPxEl7GK3gVUzAVr+F1vIE38RbexjuYhul4F+/hfXyAD/ERZmAmZuFjzMYnqEIF1fgUn+FzfIEv8RXm4Gt8g2/xHb7HXMzDD5iPBfgRP2EhfsYi/IJf8Rt+xx/4E39hMZbgb/yDf/EflmIZVhjznxVRCyuhNlbGKlgVq2F1rIE1sRbqYG2sg7pYF/WwHtbHBqiPDbERGqAhNkYjNMYm2BSbYXNsgS2xFbbGNtgW22F7NEFT7IAdsRN2RjPsgubYFbthd+yBPbEXWmBv7IN9sR/2R4GWOAAHohUOwsFojUNwKA7D4WiDtjgC7XAkjkJ7dEBHHI1jcCw64TgcjxPQGV3QFSeiG05Cd/TAyTgFp+I09MTpOANn4iycjXPQC+eiN87D+eiDC3AhLsLFuAR90Q/9MQCX4jJcjoG4AlfiKlyNazAI1+I6XI/BuAFDcCOGYhhuws24BbdiOEbgNtyOOzASd+Iu3I17cC/uw/0YhQcwGg9iDMbiITyMR/AoHsPjGIcn8CSewtMYj2fwLCbgOTyPFzARL2ISJuMlvIxX8CqmYCpew+t4A2/iLbyNdzAN0/Eu3sP7+AAf4iPMwEzMwseYjU9QhQqq8Sk+w+f4Al/iK8zB1/gG3+I7fI+5mIcfMB8L8CN+wkL8jEX4Bb/iN/yOP/An/sJiLMHf+Af/4j8sxTKsMPY/K6IWVkJtrIxVsCpWw+pYA2tiLdTB2lgHdbEu6mE9rI8NUB8bYiM0QENsjEZojE2wKTbD5tgCW2IrbI1tsC22w/ZogqbYATtiJ+yMZtgFzbErdsPu2AN7Yi+0wN7YB/tiP+yPAi1xAA5EKxyEg9Eah+BQHIbD0QZtcQTa4UgchfbogI44GsfgWHTCcTgeJ6AzuqArTkQ3nITu6IGTcQpOxWnoidNxBs7EWTgb56AXzkVvnIfz0QcX4EJchItxCfqiH/pjAC7FZbgcA3EFrsRVuBrXYBCuxXW4HoNxA4bgRgzFMNyEm3ELbsVwjMBtuB13YCTuxF24G/fgXtyH+zEKD2A0HsQYjMVDeBiP4FE8hscxDk/gSTyFpzEez+BZTMBzeB4vYCJexCRMxkt4Ga/gVUzBVLyG1/EG3sRbeBvvYBqm4128h/fxAT7ER5iBmZiFjzEbn6AKFVTjU3yGz/EFvsRXmIOv8Q2+xXf4HnMxDz9gPhbgR/yEhfgZi/ALfsVv+B1/4E/8hcVYgr/xD/7Ff1iKZVjB6T8rohZWQm2sjFWwKlbD6lgDa2It1MHaWAd1sS7qYT2sjw1QHxtiIzRAQ2yMRmiMTbApNsPm2AJbYitsjW2wLbbD9miCptgBO2In7Ixm2AXNsSt2w+7YA3tiL7TA3tgH+2I/7I8CLXEADkQrHISD0RqH4FAchsPRBm1xBNrhSByF9uiAjjgax+BYdMJxOB4noDO6oCtORDechO7ogZNxCk7FaeiJ03EGzsRZOBvnoBfORW+ch/PRBxfgQlyEi3EJ+qIf+mMALsVluBwDcQWuxFW4GtdgEK7Fdbgeg3EDhuBGDMUw3ISbcQtuxXCMwG24HXdgJO7EXbgb9+Be3If7MQoPYDQexBiMxUN4GI/gUTyGxzEOT+BJPIWnMR7P4FlMwHN4Hi9gIl7EJEzGS3gZr+BVTMFUvIbX8QbexFt4G+9gGqbjXbyH9/EBPsRHmIGZmIWPMRufoAoVVONTfIbP8QW+xFeYg6/xDb7Fd/geczEPP2A+FuBH/ISF+BmL8At+xW/4HX/gT/yFxViCv/EP/sV/WIplWGHcf1ZELayE2lgZq2BVrIbVsQbWxFqog7WxDupiXdTDelgfG6A+NsRGaICG2BiN0BibYFNshs2xBbbEVtga22BbbIft0QRNsQN2xE7YGc2wC5pjV+yG3bEH9sReaIG9sQ/2xX7YHwVa4gAciFY4CAejNQ7BoTgMh6MN2uIItMOROArt0QEdcTSOwbHohONwPE5AZ3RBV5yIbjgJ3dEDJ+MUnIrT0BOn4wycibNwNs5BL5yL3jgP56MPLsCFuAgX4xL0RT/0xwBcistwOQbiClyJq3A1rsEgXIvrcD0G4wYMwY0YimG4CTfjFtyK4RiB23A77sBI3Im7cDfuwb24D/djFB7AaDyIMRiLh/AwHsGjeAyPYxyewJN4Ck9jPJ7Bs5iA5/A8XsBEvIhJmIyX8DJewauYgql4Da/jDbyJt/A23sE0TMe7eA/v4wN8iI8wAzMxCx9jNj5BFSqoxqf4DJ/jC3yJrzAHX+MbfIvv8D3mYh5+wHwswI/4CQvxMxbhF/yK3/A7/sCf+AuLsQR/4x/8i/+wFMuwwvj/rIhaWAm1sTJWwapYDatjDayJtVAHa2Md1MW6qIf1sD42QH1siI3QAA2xMRqhMTbBptgMm2MLbImtsDW2wbbYDtujCZpiB+yInbAzmmEXNMeu2A27Yw/sib3QAntjH+yL/bA/CrTEATgQrXAQDkZrHIJDcRgORxu0xRFohyNxFNqjAzriaByDY9EJx+F4nIDO6IKuOBHdcBK6owdOxik4FaehJ07HGTgTZ+FsnINeOBe9cR7ORx9cgAtxES7GJeiLfuiPAbgUl+FyDMQVuBJX4Wpcg0G4FtfhegzGDRiCGzEUw3ATbsYtuBXDMQK34XbcgZG4E3fhbtyDe3Ef7scoPIDReBBjMBYP4WE8gkfxGB7HODyBJ/EUnsZ4PINnMQHP4Xm8gIl4EZMwGS/hZbyCVzEFU/EaXscbeBNv4W28g2mYjnfxHt7HB/gQH2EGZmIWPsZsfIIqVFCNT/EZPscX+BJfYQ6+xjf4Ft/he8zFPPyA+ViAH/ETFuJnLMIv+BW/4Xf8gT/xFxZjCf7GP/gX/2EplmGFCf9ZEbWwEmpjZayCVbEaVscaWBNroQ7Wxjqoi3VRD+thfWyA+tgQG6EBGmJjNEJjbIJNsRk2xxbYEltha2yDbbEdtkcTNMUO2BE7YWc0wy5ojl2xG3bHHtgTe6EF9sY+2Bf7YX8UaIkDcCBa4SAcjNY4BIfiMByONmiLI9AOR+IotEcHdMTROAbHohOOw/E4AZ3RBV1xIrrhJHRHD5yMU3AqTkNPnI4zcCbOwtk4B71wLnrjPJyPPrgAF+IiXIxL0Bf90B8DcCkuw+UYiCtwJa7C1bgGg3AtrsP1GIwbMAQ3YiiG4SbcjFtwK4ZjBG7D7bgDI3En7sLduAf34j7cj1F4AKPxIMZgLB7Cw3gEj+IxPI5xeAJP4ik8jfF4Bs9iAp7D83gBE/EiJmEyXsLLeAWvYgqm4jW8jjfwJt7C23gH0zAd7+I9vI8P8CE+wgzMxCx8jNn4BFWooBqf4jN8ji/wJb7CHHyNb/AtvsP3mIt5+AHzsQA/4icsxM9YhF/wK37D7/gDf+IvLMYS/I1/8C/+w1IswwrO/1kRtbASamNlrIJVsRpWxxpYE2uhDtbGOqiLdVEP62F9bID62BAboQEaYmM0QmNsgk2xGTbHFtgSW2FrbINtsR22RxM0xQ7YETthZzTDLmiOXbEbdsce2BN7oQX2xj7YF/thfxRoiQNwIFrhIByM1jgEh+IwHI42aIsj0A5H4ii0Rwd0xNE4BseiE47D8TgBndEFXXEiuuEkdEcPnIxTcCpOQ0+cjjNwJs7C2TgHvXAueuM8nI8+uAAX4iJcjEvQF/3QHwNwKS7D5RiIK3AlrsLVuAaDcC2uw/UYjBswBDdiKIbhJtyMW3ArhmMEbsPtuAMjcSfuwt24B/fiPtyPUXgAo/EgxmAsHsLDeASP4jE8jnF4Ak/iKTyN8XgGz2ICnsPzeAET8SImYTJewst4Ba9iCqbiNbyON/Am3sLbeAfTMB3v4j28jw/wIT7CDMzELHyM2fgEVaigGp/iM3yOL/AlvsIcfI1v8C2+w/eYi3n4AfOxAD/iJyzEz1iEX/ArfsPv+AN/4i8sxhL8jX/wL/7DUizDCi7/WRG1sBJqY2WsglWxGlbHGlgTa6EO1sY6qIt1UQ/rYX1sgPrYEBuhARpiYzRCY2yCTbEZNscW2BJbYWtsg22xHbZHEzTFDtgRO2FnNMMuaI5dsRt2xx7YE3uhBfbGPtgX+2F/FGiJA3AgWuEgHIzWOASH4jAcjjZoiyPQDkfiKLRHB3TE0TgGx6ITjsPxOAGd0QVdcSK64SR0Rw+cjFNwKk5DT5yOM3AmzsLZOAe9cC564zycjz64ABfiIlyMS9AX/dAfA3ApLsPlGIgrcCWuwtW4BoNwLa7D9RiMGzAEN2IohuEm3IxbcCuGYwRuw+24AyNxJ+7C3bgH9+I+3I9ReACj8SDGYCwewsN4BI/iMTyOcXgCT+IpPI3xeAbPYgKew/N4ARPxIiZhMl7Cy3gFr2IKpuI1vI438Cbewtt4B9MwHe/iPbyPD/AhPsIMzMQsfIzZ+ARVqKAan+IzfI4v8CW+whx8jW/wLb7D95iLefgB87EAP+InLMTPWIRf8Ct+w+/4A3/iLyzGEvyNf/Av/sNSLMMKrv9ZEbWwEmpjZayCVbEaVscaWBNroQ7Wxjqoi3VRD+thfWyA+tgQG6EBGmJjNEJjbIJNsRk2xxbYEltha2yDbbEdtkcTNMUO2BE7YWc0wy5ojl2xG3bHHtgTe6EF9sY+2Bf7YX8UaIkDcCBa4SAcjNY4BIfiMByONmiLI9AOR+IotEcHdMTROAbHohOOw/E4AZ3RBV1xIrrhJHRHD5yMU3AqTkNPnI4zcCbOwtk4B71wLnrjPJyPPrgAF+IiXIxL0Bf90B8DcCkuw+UYiCtwJa7C1bgGg3AtrsP1GIwbMAQ3YiiG4SbcjFtwK4ZjBG7D7bgDI3En7sLduAf34j7cj1F4AKPxIMZgLB7Cw3gEj+IxPI5xeAJP4ik8jfF4Bs9iAp7D83gBE/EiJmEyXsLLeAWvYgqm4jW8jjfwJt7C23gH0zAd7+I9vI8P8CE+wgzMxCx8jNn4BFWooBqf4jN8ji/wJb7CHHyNb/AtvsP3mIt5+AHzsQA/4icsxM9YhF/wK37D7/gDf+IvLMYS/I1/8C/+w1IswwoT/7MiamEl1MbKWAWrYjWsjjWwJtZCHayNdVAX66Ie1sP62AD1sSE2QgM0xMZohMbYBJtiM2yOLbAltsLW2AbbYjtsjyZoih2wI3bCzmiGXdAcu2I37I49sCf2QgvsjX2wL/bD/ijQEgfgQLTCQTgYrXEIDsVhOBxt0BZHoB2OxFFojw7oiKNxDI5FJxyH43ECOqMLuuJEdMNJ6I4eOBmn4FSchp44HWfgTJyFs3EOeuFc9MZ5OB99cAEuxEW4GJegL/qhPwbgUlyGyzEQV+BKXIWrcQ0G4Vpch+sxGDdgCG7EUAzDTbgZt+BWDMcI3IbbcQdG4k7chbtxD+7Ffbgfo/AARuNBjMFYPISH8QgexWN4HOPwBJ7EU3ga4/EMnsUEPIfn8QIm4kVMwmS8hJfxCl7FFEzFa3gdb+BNvIW38Q6mYTrexXt4Hx/gQ3yEGZiJWfgYs/EJqlBBNT7FZ/gcX+BLfIU5+Brf4Ft8h+8xF/PwA+ZjAX7ET1iIn7EIv+BX/Ibf8Qf+xF9YjCX4G//gX/yHpViGFdz+syJqYSXUxspYBatiNayONbAm1kIdrI11UBfroh7Ww/rYAPWxITZCAzTExmiExtgEm2IzbI4tsCW2wtbYBttiO2yPJmiKHbAjdsLOaIZd0By7Yjfsjj2wJ/ZCC+yNfbAv9sP+KNASB+BAtMJBOBitcQgOxWE4HG3QFkegHY7EUWiPDuiIo3EMjkUnHIfjcQI6owu64kR0w0nojh44GafgVJyGnjgdZ+BMnIWzcQ564Vz0xnk4H31wAS7ERbgYl6Av+qE/BuBSXIbLMRBX4EpchatxDQbhWlyH6zEYN2AIbsRQDMNNuBm34FYMxwjchttxB0biTtyFu3EP7sV9uB+j8ABG40GMwVg8hIfxCB7FY3gc4/AEnsRTeBrj8QyexQQ8h+fxAibiRUzCZLyEl/EKXsUUTMVreB1v4E28hbfxDqZhOt7Fe3gfH+BDfIQZmIlZ+Biz8QmqUEE1PsVn+Bxf4Et8hTn4Gt/gW3yH7zEX8/AD5mMBfsRPWIifsQi/4Ff8ht/xB/7EX1iMJfgb/+Bf/IelWIYVJv1/rKSr+bovbENmDFLEzNV3748vvCgq8GvU/Ccf7mu6XsbPQZ8/y171RcnOyMGKOOjXcLzhN9krljwMumOtiAEWB7ye/pJ98MT00SVDFLHBbN6f3X9l73AtV7v9MEX4Zc0rm1gx6X+9nknr7eOGKyL63ia/5lVkv71iZc11Noro9Pfi7Lc1ZJ9ypdT9vK0i3pk/f3yojuxuT3bsfD9CEZOGvU2YVV/2mVdGJjQYqYjxDS/VMjOQ/fucFvGDRini4cLR6u/Gslur62z2sVdEWv/tTS62kN3vr77DAQdF2I+YryxvK/uaez1+PHRUxPqlGTWsO8jeYYiXX9loRVw5fjC+VhfZa05Jzuk4VhFGiY8fZnaXPbxpM1MXJ0XUW+kwdVfvcp9ftGNs8DhFVM2r6j1ZyB48pdWUC+MVMf3u6yLTQbJX/JDq+H6CIl7WfZj7fajsnbV8Wtd3UUTxruTRl0fIfuJkV2WAqyJWj4zouc5B9vdfKs2dO1ERVnpDNjk4yd4o7fX73W6KqJF+eaKxi+xjej+wTJukuS/uHw7kTZJ91eDbAb/cFZF+5YzL2amyu36+u7PVZEXk368REjhT9nl9n+20n6KIxX5PzUbMld3Y/EfAsqmKSDqhZ2O4QPYd2foDjk1TRKPxe9S5S2TPNbPMfeKpiLrTp79MWCr7u6Hec7VnKMI0fdL41Stlt2wbq5jNVISJj89Qx7WyL3r8qrXrLEVctt94vEWI7E9dm45eP1sRN8bvWvN1U7n7mD5pSsIczbpYHpyZGlHuOk0Ojs3xUkTX80O2bd0p++m1eSY63pp5+OvKvSn7ZF9a1CGn1zxFOPV65dvjoOzTfbx9p8xXRMt5ETurHZH9bNP4b2E+ikjYdbfz0zjZfSp/GZm0QBH74udbnIiXfX33DqHvFypiz+kF51ecl/1oiseJuosV4RZx5ciY5HLrK3nrqb5LFFHBxVLXJEV2LYvL4Z6+muvUfptfekP2JJucCVv8FHE0dLtFVlq59VL9r9Ylf0V0+Dvk75EHsndap7MxN0ARliNfmwdmye7won5J3WWKWLDB8flYRfZJLesO6btcEeMS1v3p+EL2bXMrLp4WqIgzGV4bK7+RXfvZ23WbVihicv7XLc9zy62jlRcDLq5UhLu2Vq1zH2VXLV3h8HaVItTt1xeHfpF9/odeNWqvUcSPKQvHTf8pe3TOy+ieQYqwSDljOvCP7JtWLWzqvlazfm26zDeqkPy/bvKpOCB4nWbe6j41/aUtu3m/Gcln1iuiY9O94zKqy959643nz4IV0X2dZ3Fcbdm319HJqRyiCOHSqmZwPdmDMvvf7LRREb5xKZumNZK9QsUJG51CFdEvrMN6K2PZn1x07REYprlOfYfvzVrIHt1qWMrhTYqY5dQ0o7SN7FkejTs92qyI3jNXtHhuKnvMzsyAki2KmDht6rskM9mbfvWOax6uiCdTLhju6i670aavV4ZFKKJouWeqX2/ZB+x2OjtvmyK+Zbg9myBkryL2BUduV8RCv9DpfQbJfirq9sCUHYpoHP5qmtEw2e0KM57lRSriZH+rJ/9GyH5t5KVxurs092tndOJLB9kvfwk613O3IpRbhTqpTrInVuj8c+IeRdz9UDfroEu58Tx6tmHQXs3zq+XvmuvcZT/auGHjuH2KyIsMT5g1Tfa9q8dUyNqvCK/59x+OnCV7SP25t35HKaJ1VrhrN2/Zf/zx8G4erQiz3Cxng4Wyt51t9mfIQUXcyfJPL/WVve/2bE+vGEWsvbXo+Ntlsjc+NfpceKwicvLjS9NWye6bf+T9xUOKuD3LOPX0Otmz/R4XvzqsiCZLon/u2Ch74Lbsj1WOKqK+MN8duEX2TT7HUzscU0RJ0bn46dtl/zR0rJ/Dcc3+cKVJb/vdsg+3y6y3JE4RGc/GmveOkr11couwPScUYbvUdlfLWNnT060+pp5UhOrxxwU6x2Qfdb67ad4pzT5j1PrKr5Oy70j8ZaMTr4he61/7vj5b7vO119uZn1FE7dF6MfcSy43zlzxzp7OK+HcuyjLxsux3ovRL/BM06+LTUtuYa7K/dK4btf+cIsaYh9/efFt2XTeVyY3zirC+/ujssnuyVyuYue3DBUV45rSsOztD9q6Wt9/oXFRE4J3Fz8c/kT1z32c98yTNc/DSRYOhz2QvtHnVcmyyItaUKTd65Mg+dm2kvt+l/3u9pOa0fi/74QjDgj2XFeEa4DGnQYHstkkeUSlXFBE0IHZ65SLZffrNs3h3VRF2M/wzf3yX3dBj8JlqqZr72+dB3PuScuvR+0XtDtcUcU8r7NeTUtlvn+hjO/K6IuZUO3zqTqVLch1Nc5k1/4YiTuyoqiRVk/3fKzE74qYiFlXY5X1CR/ZAz3d2F25pxj905OIoPdn/DLKt9/S2Ih5t0vsU3lD2T9d9Ev/dUcTs8Y8erTOSfV9X5wHN0hWRYuHbemlz2Vu9qHhs4F3NvFr9K3deG9nH6Xn+nHJPEaWhFgaeprK/bBLccu19RVyI65DoYiZ7O8eZ5kceKCK15+VbDt1l9yyr0jL9oWa+rXk6aFhv2XctcPvx8ZEisgvnmVkK2Tdq+xypnamIKQ+8gnsOkj294gBhlqUI/5VXHDoPkz3uyu1z9o81564p9uvb2snuuKW6rk+25nySVbdTM0fZD93Xsgl/onm+dym0NBgn+5i0M54JKkWMepqZoucqu/K08bRsRREu3U6dquUh+9wJva1/qRWxfJ+3TlVP2ZvurV2t0TNFNFihpao4W/YLZduP9XquiKX9HXX/ecv+QPXYbPwLRezsP+pc8ULZU1bd2u77UhH9P7y/891P9njn2a8iXyni2iFtmy/LZQ9NvlbjYo5mPr/dZlG4WnbtSvf01a8VMaHmhoiC9bJvDlmr/fuN5n1n/f2JH0Jln3f+a6bBO0X8TbeLyN0q+9HXOmss3mu+r1VJr/c7ZK/hpWo4PlczbpOShr3bI3vzi/YhS/I06z185a23B2S3aef7evsHRRQ69I1/e0j2aEM7w/P5mvWim1393XHZdb8/6JpdoIjggf3uvzste99GpZ1+fFTEoEluZe/Pyb6j4EnN+oWKeJDTfk9ekuxOmS5p5p8189Yy+FD+Vdl9u4fMtC9SROyvOU0+3ZD94pKpH+d+0ZwnV6ZWLEqT/aB23sjQr4owcFto/+2B7MsG1Is4/k3zXllzgc6vLNmdd7xPSvuuGYeqx7v/UWSv6+N+Pe+H5rydVSOt7IXsPfuuOlHll2a9f1+apv1W9g5uNn6tihURlf+1R40PsusPTWw7sETzHOnrVEe3sNy8nXz3nNtvzfz33uGo/032Fs1Wt136RxHvdQ5WMi6W3b3gpe/Ov5rn427Ppq3+yX6328u48/8UcenQw1hTrcv/6xNmr7iWVaqI04l3I7tWlf2W1s2LX8oUMdRtWHGfWrJvnnF8a+2KajGmTbfUQXVlL9PrZmeqpRYle/x+jdCXveF8l/whldRi8dgaO5way37gd6vpU7TVYmfOw2j3ZrJ3ar7xVmBlteiTkWQ4u7XstZ3Dq+2pohbHki/8XWQi++gmvU0Tq6rFxB4Jw1Z2ll2Vs7Tz42pq0SF7b8XQbrKbG7s1+FJdLVp1m9xqp4XsqUOfP6tVUy1SPnw+Hdtf9oPPf61pV0stIjabHz1jJXvSmBO6g3TU4vStRjopQ2U/ZlphqVtttRjRfpP6/gjZ1eqPaX511KLumCC95w6ye7/0+R2hqxZJ+XlnC5xkH38uvObpumqxeUNMym8X2S2f25Wm66nFb+VIrxoeskdkRGW8r6cW13zfGBh6yh7UYOO6ig3UQlvXcqrJbNkrt9FtZqSv6VZxhn3myX5ztUlkj4ZqEXmxUW/bRbL3PfP026hGarG3qfc1V3/Z93RtaTbLQC28jKLOzQ2U/dW6CnZrDNXigEtkvZVrZE/u4TNiX2O1aLvRWh0eLPvRFL9OiUZqYeGyrcbhMNlfn9D/kmGsFk6+iw4mhcvuvto64mMTtZgXkXXoQaTsL29Xb1ylmWZeeeyt/3av7EqlSSubNlcL1/CU/OJo2ddeGpreq4VabHhpalL7iOx5y679sG+pFl1/p2W0PCH72UcPKs5qpRYvd4W8tTgj+0zLOZ9XtVaLnksnuo26ILvV2F2Xd7fRXOe4Tlael2Tvs2/83IS2aqHkfQhblip7rcOHKt5vpxaWBcsGb7tVbt6Wrl74vr1mvhk/nXziruxvO39JKzVRi2DxMf/mI9mN7xZUbNhBLbbU3a9+mS37Vo8Fhp07qsW9MW/NS57KfnVVcP0hnTTz/EHsN72ccuN2tWPRxM5qcdbqsVHH97I/OuYat8hMLVoucT0xpEB21ycGtqFd1MKuW8fDHkWyF2a7340xV4tCS/May37Ifr5/906XuqqFwfQJWZG/y6276K3zsrqpRbOFW6ucK5N9yq6AbQXd1eJxt/T9GdpX/tc9kj/v1uqpFj0Wfj7wubrst/Z8XG3QSy1uVi6spVNH9oAn8+3MLDTz7fzZFyb1ZW+htbLEurdaHHXu0miYgezNzhsEufbRjM9N+0TPJrKHb7L47tNXLS7drZQa1FJ2l/Y5VsH9NOMwqLt5bDvZ6xnrLtzfXy0ytLOq3+woe91qN9eeE2pRM/fe0Pfmss9eqxVw11Itut3Q/Vyll+w/et2wfz1ALd74Bf9t20/2fkk61YsHqsW/t+3mDRsoe1jc0yidQWpxNUexnTVE9q8nOxm1HKwZz1Ebwjbayt5xcpUlvazVok09U4tT9rJfne6RMGKIWtSpeWhY5ljZ8z0GZnkMVQtro09XfzrLHvM9JmvxMLVQmRbsNXQv11NCzoUMV4t2zcLe9J8m+0Svn75RNppxyLkZOnmW7P/2vW5yzlazLzkF7l/nLfusv6Ni0kaoxVSvI41OLJR9hMkAnZd2ajGkrtmvTD/ZtR/Fj/02Ui0WdNTq+3u57Md3xKyoaq8W20/r5DZbI7uRiUFoYwfNuttoWTwkWPZ3nXQCOjtqrvPMurlzw2R3sl9hYzVaLebUz7LdHi77kr4L/44doxYfY3Q3XYmUvebuvNCZYzXPBdcOFnl7y90vo6day5w0+6dZg6F1D8reZ5btuM3jND+nUWJy7yOyV+rRN+zgeLVYU6fK9iknZN9ievTQ+Qlq4V4nPzv0jOwOfyKi0pzV4mt9x4DEC+XW0ZiygOcualFg3Hnt20uy781/Z1Hkqha+7Wf/qnNN9t2zh6m03DTzoVfx3T63ZT+6sf24BpPUIt4mper0e7JnVAhKbOuuFts8Ew6FZ8j+2HfiXwsPtZi2KfV4yhPZO8XFN7OdrBYOd7P1Pz8rt45GrWwzcYpaxLR49c7otezzG93T8Z6qFh677xrY5Jab58lbsldM04ynVXC878dy/XtG4FZPzTmhVdVTh7/IvnHJxlox0zX7/PAueqqfsm+tkOp7bobm/HPzp6rq33L3y9r79q2ZamGU2UJrd4Wr/+vXtXcUq2apxYd/lYd3qyR7p5+9auTPVov3Hxtfv1tZ9mXZDv9+z1GLakedvadWk72Fx7tHNeeqRT3LZLvSGrL3GVu01shbc38vdnPbriP7IW+fph3nafbP1slRZrqyl8z12tFvvlrobhymn6Ynu3+9nK8jfNTicllm8uQGsps3Tu80cYFaTNngEPGvoeyPh3Sw9Vqo2X/6J+/bbij7kwnaNssWqUV++2rPuhjLPknf0TR0sVrccuk4/G5T2R37Nfq0Z4larM5rkT+thewDtzpuivNVi5wXL5Mqti43Ps+0G1zyU4tRDs5XdreVveYLU/+7/mpRNibke08T2aNdb6c+DdCci/7NcM7sIHtic3VB/lK16DWx4JtXZ9kXfpn0s2SZWuwJqXq5hrnsCeEur6sFqsXPvQmJsd1kr51192TDFWpRfOzj+4E9ZU9fcnpim5VqUTU9evBLC9kLbWt87rZKsy/Vz3js31d2k8ZPJlmt1jzH93ttbyRkLzrR8Kz9GrWYvN47OGGA7G5Z6XluQZqf/+H+CYdBso8c9610zlq1WK4O1C6yln1EtdCf/uvUYq7v0g0bh8m+J37Xg/Xr1cLqdZKVqa3s3doYBW8P1swT864d79jJftW8TpuYDZrzapB6iKe97AcOL4iOD9H00sNbK4+W/cs4W62rG9ViUmKE7sGxsi9usG3gvVDNeszefnngeNnPnLKfog5TC/PFsXtynGV/+m+ZZ+4mtfBPvhAXOFH27IfGtt83q8Xu2zcKm7qXmz+lHfUqbtV838vXJ12ZLPtc55OJOuGacU45XsltmuyTL0cNNIzQzIefC56UTi83z/9px7XZphazVtR/tneW7F2/qIrNt6vFr3Ur6wqvcuPpbdxG7NC8v3Q9t/ilt+y5ozO62USqhc+h2NqBPrJHLv7Vymmn5nvp2GQ3WyT7x/iQnx67ND9/4877KUtkf5iz+YjXbrXo7RDyy8Nf9ncvq/T326MWzqsb2msvk33F+oIza/Zq9oGRXZ/GBJbbH5JEzc371KL2i+yIIatkbzC60qDd+zXr3bUk8MMa2bt36THxUJRaNP+9efeGdbK3MVeNjz+gWac52/M6bpA9qceHHpei1aKzldbUhxtlX9R0xo9bB9XCeMTtuj6bZA+95xSREaMWYZ1zChtslT2/RYL+81i1aN140N8LEeX+Xa0VvrmHNPNkQJ6Fyw7ZQ+ySLn05rNlnMq8fKtspe+OPk9/8OaJ5HlV+NDh6T7nxueKXX/mY5rlWQ7v+kP2yNztRllHnuFq46I/RKzgge429X3cbxKnF+IlJlmExsmstchza8oRadGrUaV/Xw7IHGLd43OGkZr37HeyoOir7/oCJVj1OqcXzpAYfA+LKzduAalvFabV4Ut9X3fyU7AWVm10fGq8W6ks3im/Gl5uflWKy7c+oxdiir9azE8rNh0nb0yacVYtx739dr3tB9gvVfu2bnKA576nT55+/KHtE7rWxs89pzqvVp41yvST7kvx/hQvOq4XpiUuula6WG4eyg9OXXlCLJVXSdh5JlT22XuK1NYmafXjkyqqjbsg+pmHvCqEX1cL+zvPon7dkzyxp22RbklpcPJ05d0+a7OuOrTTem6wWfYc5zxp0T/aNxsNLYy6pRdTDWdsKHsgeN2DZ1bjLmnPg+r9FWzJkd63RdErCFc18SND27/1Y9lszO3xIvqoW6Tv8u71+Um5/Gxs78nqKWjRdNM44WC37vdSQ7empajF0y5bu5s9lb3Xw5dWMa5r5Y958qfplufVVtDdduf5/MWHf8Vi97wPAExlFRHYRSRoiSqKP26pIJSRFKZtkryQZESEzpQiZZZUiJURkS0aRc84jo4wQGYXwu3//fK/n3/freR3nXPd1XwN+z6TF6cB+8OHkxpJvH3rQDX7Bh7u+g0tlmQcP1eLnjDo7dQ6Bn1m23jdRh9//woKb7yhd30ntqpmpx3lYmpctOQ6eFFSksNjQg75o+6399At8MXPpNkNTDyo5Y5fk/Ru8dflFBUtzDxLYbX5h6yy4S1hnJ0dLD5riNTvR8ge8X9O8medjDxq/dOGK1wLdOe48nynYiude45OlYkvgGQffXxT91IPST+060LwCbup0d1GiDe/FsT/7PVdX/c8rGtuv7mzvQRFOt8rF1oBv0/HtkunAfV9xuraZBTxvMo5/f2cPmvxvx4rXWnDOMr6DSp/x79tFrbdy0D2/YM0h9KUHiWt9XPzICd7eeGmLZhfeE3/vqrzGTfccHqkfWt24/kvKvpTkBR8PM7lz4msPWqXY3tnODx6qsMir34PnSV+2bX5C4PlCLP5nCFxXj7ek79oM3nHIr8mY7EGt/zbqdYuCi6Zb/DWlcD3/0bU7WBzc7HQRswUN73FmHAfktoHznnWZs+7tQVfq85x6t4Obv3pYd/lbD4pzz/8SsRNc+KrsNce+HiRbxXxFSRr8XZbcetd+PL+xPZcZlgH3Ov74pscAvr+5qWL35MAF3a/3XB3sQTGrP6lp7gffvqOG+/r3HpTtsD/69wHwRq+ru/1+4O/SqWd/rAROXHmwPXAI75uLfiW6/4F/5d3OFDzcg45TBtHLCHzSX+x9yAiuh/rK9/PVwefLQs3CRvEeVy7dfP4wuMvX8/0RP/E84y8uw65Fd14/HmlGjeG+s8RV+fYYONesTmjMOD7Hh5M37E+Ah/HZ5MdN4HtU+tpe+BS42IVfL+N/4XOsuXSrSR88mxhMvD/Zg1pEvn30MQR/kHnU6sEU/r3MnsO7z4JvaeXnSvzdg4ovqo+QxuDrHQyTkqZ7kDz/xrd3LoD33MUtaQbfr3cPS1UugT89L3guZRbXz+qWoV/m4EeJlNupc3iOjchQf2wFvlPqbuLjP7j+hPI16duCe5jMRab97UG64sIBTPbgI3dqLdLne1BO3VPLVw7gi91MQhkLPSj1xxsPW2fwmjOFhRmLuG6MqxcJuYEziTfvzPyH96YTh7a0eIBLnTEMzlzqQbfdH73xuwquynmiKnO5Bx3+fMFfzgec7fJLWuZKD9rb5+7+3Rd88GYolbmKQMNre+IT/Ony7VpzeSYDgb5+CBrUuUl3Xg5+fpmrCbTr1pVLK8HgD30ei2cyEqitMpTtZSj42xq57AwmAoX8/NRrHQ7+yk6eI2MNgSqvHxoQigTvCk8/nc5MoIaf73lao8GFTtz0TWMhUNZzE5ebceCbPrWHPGYl0B7N5cUD98AlFWPdUtkINCKa9nIsga5OPq1STVlLILUKlYTHieDPj5r9erSOQKceNj09kwy+pOjil8ROICZZ1eF1j8Fn0qYmH3Jg/xdnUJVO9555/RoP1hOo1afip2cWeLKP5tX7nARKli55vvsp+NmD/JHxXARyj/ZI688Fr+QwCY7bQCBxianKhAK6+yvGZRrDTaB9dmLsuoXgzSkKAlE8BFrTt3RzTRF4RuHHlxEbCVTKcUOq7BV4fGC3bBgvgQ64Pph3fUP3Piqno0L4CCQTe/TPjjLwExvUW4P4CbTxt59YXwW4u1TaZIAA/j2/0tWEKnDvQvfpG4IE8g9xWMQDA+RPz5suHyECfWvYkMtSRxfPdpdHV4UJ1GMlEvKuAfxvQ5KmxyYCdQ+ERXk1g0/8Umpx2UwgxpaTNTKt4G88jh9wFCGQRq7ZtuE28L6ItsDLogQyZnv7IrUTPNKm8Zn1FgLVuupfOdcFHq14oMJcjEAdbqL63D3gxvICBabiBEp4IGjZRIIzRzj4GW8l0JiLYlpQL/hJrwNyZyQI5Bvuxq7SDx6307NWbxuBijzep/0ZBP9C7Dh0QpJATZWbrAqH6PpOlX6c1nb8nkveBvaj4Ik8U00aUgSyr2hz2DYObsS25ofKDvy98cJFvb/AbxKRfQd3EmiAV1fy4W/wM9WRFft2EQh1WtScngV/ssDkK7ObQPpWepGcf+nO6+3Upp3SBPphyhnUuECXP+qGyRJ7CORmFJ8ZvET3vQ0yDKIyBLrwo+e36qr3/3OOyIDDgrIEyk/vsv+3Gryh+Zg9z14CGUrd5Hq9BtylOtyVQ45AKxyfv7mxgus+1zRhkSfQzl81pMw6cP12j20M+wgkZHOMaYwDnMVOtG0Be/+GC0ZPuMDTitRMZ/YTyCRi5rMlD/jsLNk8roDrnjurvxgfuJfj1KahA7he2UQb0gTA0SW/k98UCeTEHHQmURiccX2I2deDBBKb7Ak8KwIu+pb1TLsSgd59iOjhFQOPymXa3aSM74VUzIWOreATW30Gqg/hfHvbuy5GEvy63ZXrZf8RaLO48/eTO8B533fPFakQKGDl4Cj7bvBD7pX6+Qjn+d99Qk17wLnqtkZnqhLo/cuzHrf30sVzNeOzR2oEyvyStHh0H7iVo+mzeHUClbHO5zEfAD92WiHmjgY+rynL2x8OgmcvhZ0O1iSQonJ3dNAh8NKi8/PXDxOII/JYtQYCv1yT6+d+hECf7r7cwqgOrnT16pD9UfyeC2ufvtcE19lULWuhRaBee63zgUfBLZbCTYy1CTR+10JJ/Rh4n22Hjd4xAsVsPa2x+gRdHuY9MNTSIZBI7Qav97rgFfy9Eug4gahddz8H6oOv/E3/vP8EgSqYOkw1DMEdU4dtdp/EdYOhlpvpLHioaT4hrksgtk7LqRpjcOeg37KCpwjkvCd7IfgCOGXx2oZTD8enJmjP0Uvgsrorfmv0CUTTmo1gtQC3fFDnvYi93GWSt9EKnPPeBsMpAwIdnXFoCLcFd3hAbRg6TaDRW1bZJ+zpzv3vruekIYH6vn18xukILse6JNN+hkD/lT7ub3MGFxfVi6kzIlBn02d01w28LU6qs+wsgQxazevOeIJHlt/8W3iOQNv9VL0FvcGPzJgvZxkT6PE9a0PSBzwguvZ7ogmBGtuaTVJugF/5WVAQfZ5AkeOXI8wDwOtMN50LvkCgR9mKQ9uC6O61Jud3b1Mc5wrpKyO3wP/+DdF3vEgguyk14fzbdPH5cuux+SUCxa5ymHGOoLunB9nbz5gR6Gde1p99UXTx8RMYPGZOIMnXPyTmY+jyiimvS8WCQF8GJa6X36XLc6m6PDlLXCfnzi4F3Acv17psIWmF8/n5tSdHHtLVzw/xi4LWuF59DfBd9whcdUnbg8OGQOn7ra9/SgH/qhfyaZUtgU5EiGbGp4HPbD3JMYP9Q0bmH+NMurr6OXnXkB2B9I5Oum15Aq5S772r5zKB5g79EfyRA/7iYi97iz2BonVfjOTmgx9caW19dwXXGW3BAZfn4KvWHXd/4UAghT9bmRVfgtcPGSxkOBJog0Sj/nIx+PTCkNl9JwJ5P2JsqHkN7pPDmnvbmUA2e+ttw9+CL5x/9dnHhUD3Cjjl9CvAH3lP9Tm4EujBYJuEYBX4ftvS1otueN5IZ1b7Vg0uGbMhRc+dQEHlmbeya8HdL/zR1fDAecWYPevYAF6mcKV/nyeBVmuvjlRoBt8X4nxG0gv3ZbNnussfwZ+9Ycrjv0ogAbEspdo28AcHdwyweuO6dIF2MrITfM6VtjiPvWtMN+JMF7h1u8Tc6DUCDWb+/i3SAy714V8b4YP70aWKwCESfO0b66jm6wRaO5uj/LyXro9ssthT7ovz9r/nm737wW+Z/i7Iv0GgIe5aKfXvdPdrYuOGZD8cf73B8+uGwa/913Q60h/Pt52rSztH6eL2lvfajQAC1VwVVE0ep+uDPTP+joF4fhbe8stmku6+r7OzM71JoMnE9XV7p+nq/3tX+ZNBBFLtJusWZ+l+78Ld+18wgaqfB059+AsucUfrivQtXK+Y/2pEL4Lfuc1LbAoh0LHSfe+Ml8ErCe9d7KEEOv9M1mIbQ/X/3GDe48Ii9pL6AZlJRnDvs2tdRm8TyHH08La3zOBLTgesv4bhOjN/UuMWG7hqydKh+nD8e2Luth47uErWhdlXEQRi8do/v4kTPKTYKCrzDoHuv1wdM7wB/LDp2Nq7kQQy8j6jV7QRXElok21gFIG0CqWU/PnB31kMZTlH4zpz2EXnuBB4bfHJOtMYvF9skQoW2AzeFq7fcDwW/1768NCgKDiz+XSeUhyBZM9VuhSKg/MX73WVuovrW3SMxI1t4Hqr1wvyxeN4vn++ckwK/EFd6GPGezjPSV5GgV3gtjfT1k1hF2t9vee7NHhrkYkR7T6BQsNiAl/Igl8lioKaEgi0ZVXCsp88eIpXQdzrBwRiF69JO6EALrRWOyjzIYF0BjichA/Sne/G4DOxiQR6esDBYkQZXFvAYq1fEq5jPD1+JSrg9xIGUuwf4bxyOF4TrAZuIcDCfzYZz9VKZbKnNcE9hT86aaYQaNZF7IP4UfBtkgdzZFNxnNndA6a0wS+Wa9Vueozr9uo8q8rj4FnWS9WsaQQ6d6LKJUoXnPuJUfoMdtbh3ExTfbr4s561/JZOoIwWC4Y9huDZ61eYmzMIdHrhW9CSEfiI+onwkkwCrbMXlm0xpstDaY2ptCy8j29ex/joAri/UZ9iZDaeA7meLF25BO5wTMrc+wmB2jVGRf+zAHePFnCwfIrzp6TBjsMa3LjoxTndHLxfX1EhKFtwR7U/25VyCaRrqepeYA+eUP2jSyIP51ta3T4/R/CzdQF2nPn4Xuxq3nTKBbz0az05j/3A6iO7xdzBzUPL9g4W4L1mt7TFb0/wcLMLth+fEciv0Luq2pvuXk/n+r9+jue3+1uPxl8HF2x9ci2tkEDm38VnrP3o8jbw9JmIF/jvZjrVKwaCP0l5xuP5EufnN4aatcHgb1+VvrhYhOe01LYfZAh4yTlPee1iAnFNfZF9FgbeJTQQL/eKQDdobGkBd8CnIhh6hEtwnfEwVzodDX5Zo32F6TXug9Xd85Jx4AfaDVkmsEd2WX6bjwcfbImY/PIGn2/l8nhzAnh0k9fbd6U4b6OSxVMTwYcu8ds+eYv75ulDN9ySwfdIXJmLLiOQlPinVUcfgyvkeVp7l+N8W6efI5QBbhN94LVZBa7n4qXXJrLo4mD77Kf2Ozxn+q5yff8U/GULbZVcJT6vvZuj7+WBu56t/SNYhfcmA9bPl5+BZ6ZZf2J4T6CN/96oohd0536kMmwEe7vazg6eYvBJWodkWzXeR/7TixguAT/IkpbxugbXMbbtV8pL6fLQZBdT6gcCeb5Ld40tp6urXs6HQ2oJVHDtXYpNJfibeRdbxzoCaRu5Th+qBi++IetgWI/vi2uRA3ct+HxGnsGhBrynjPiuH66nq2PrhoS3NhLoRU/t5/ImcB69bx/Ymgh03DqkOu4j+Ha+B3qT2FFeSZddG/iaxQ3vvjQTKLdFl1u1k+59UnXWl7cQ6PbYUTe+LvD2J0dQ+kf8XbsSFsa+gt8sZtS/3Yr3tQLFJ9UkndvdPOL0Cfffh2LXH/aCC9jWbjJsI1AOj46nSz/4ZsOWTqV2AvGp5d/T+g7+tzPBcUsHzmdtVUp0GDw9Ysfomk4CbTX8p/1nFDxNzP/oT+zeEV/Jj+Pg65Qe3fr0mUAygp/isybp6t71gOziL3jv2NbtfmMa/Ei0dM7DLgKFUSPeZ+bAOTenRfp1Eyj5ylLGnnnwvU29py2/Eohn1bo55n9090hj6J9WD54rPqx16F2mq28yb25JEwQ6OTbD9pqhBvrRwTO/N5AEskivao5mAt+77h2aw24kbFdsxwJue2rGsYfC5xU8UK2+Fvxh0ZxfBY1Ayzw7/gpzgM8P1Lqm9RKocn6v/iwnuG641dFb3wj08PJc20du8F9GHUt2fQTSTHT0esILXvSH696JfjxXVMWqBwqA8wqKcu0dINAwt4n8eWHwNfbL9hsHCXSr7p22ggjd7x89e/pn8P//3/gmmEsM3OiifEPPdwL1KKGh0a3gLuZhjeU/8P5y5ZjjB0nwOKPi/NQhAin/aBdK3QHuM1nkenOYQKKDn8au7Qb37L0taD2C55a0Q4OGMuDGXfvStEZxHTNdz7BXDvxO+Cv2XT8JdNdQRYN9P/jKM85zHGM4H+pqcoYOgO+ZVw35hX1l+sGBaiXwbZt07reNE8he+NVI8n/g3h/33H45QSBTvw1V11TBj9eOnY//hfcp84zyMxp051UazO01SSAJFpteuSPgpWYLT89O4bx6oSfJqQ1u6K6zVek3rmNPzsf+1AF3y/G+ITyN67CM/9b6k+ATZcFv/2EPiSz6mqEHLm/l3EPN4Pxk/10UcBp8/wUlomKWQIVTssWmRuAeFwfLU+YIlBdi16NsDL4s6RTo/wfvEQJ3JQQvgFs6EVJmf3E9n3gSN3cR/OPMjkK1eQJNnUnd3mkO3u9mIiy+gOPwyPVboRU48dTZZvUirv+cAhVRtnRxPn05vh+78GJopYM9OJucdub7f7jPPi8f0nEEN2dYfz9tCfd9vwL5nS7gPwLeXA5cJlD+a4MMVndwX7fjW8xXCHS4IPPgkCf443t1JWqrSPTpRdL0B2/wE3m79ooxkKhfcG97xnVwTk/viFWrSTR0wOTzTT/wP8WFDb3Yt5rzLJkHgmfu+TxcwUiiqgk9bfVg8P/SB0ceMZHozT7OUrFQunvU9a35+hoSzYRr6DKE092XqMYYE2YSSZ0YYu27A74pOk1RiYVEY22/f1RGg6cl21UJsJLorbvpSGoc+Df/Lbv/YB+NFucKuAeuuFR39TMbiR4FHjAxewAe1XMp++VaEk1lxTeqJYEbfPtZErOORLUm+03FU8ADvtjlOLGT6PvKej7GNPB7wcSNExwk+vdb6PdABnjyK7X9u9aTKCRe73dNNvgu+UctrJz4PbVy+bJy6O7Lh4mjP7BbOm25GJIPXnXgQEY1F4k4rjxtsn0Oft/Qqz91A4lG0lTOH3sJHj76bPUNbhI1XO3m2v0KvPt9H5MJD4kuGjiNcLwBV8nlGDmwkURHHyx+//UWnNVl37ONvCSaLvRgbq+gq6v9Z4ymsOet+XKsqIouns0efS18JEpf2vjyXg14yErMiRx+/J6Mu5B3HfipY3mJtwRIZHaT65dJIzh5/UOTuSCJaEPl71Va6OJpQ6NUhEg0/2hXqdgn8LvEnzYhYRJp8eh/Zuqg+64c7idz2De/2rFx+DN4VqbMpfZNJPo4m+PZ1A1+PlV3IX8ziezUP/4rIMC9HNw8b4uQaJk9IiuWRlf/vyV2WoqSyLSOdPPsA+9sadiouoVE+oOvLY0H6eoG27KCsBiJ7LsEvFWGwMftDirPYd/DO/tcfBQ8t/q6WJs4zhPuI+ws43R5Ml4/krsV398jTOE/f4Hnl4vcvSWB75GUlPSn3+B/1/ltMdtGohd7cn4XzdKd4/PRSGVJEhl1BBIP/oKLBZr38m4nUXtUztCNRXAJk6ENk9hzaIL8lsvg9huvSTZK4TgoN9hpM3z4n3eFCG/O2EGig+KFvXuYwFuimmd9d5LIg6vx6kYW8AMskc+NdpFIKIh9/wIb+K2GSyf27ibRtn/OG7+xgxe8ONy8VppExn9/8dVygm9P+U96ELvzfMChPG7wCXtt5/I9OH/8RYNjeemeP2cXf08G5+GGqsmrAuAzm1KTnGRJ9Ev6ot9FYfDq8rFgrb0k+mH8W/aICDjj61N6YnIkUt/stkZaDFz1Z/PyPPa/C1//8UiA3ztgHtkuTyLymij/oiR4ku+GVbn7SHRP4tDp/h3gzsmEwc39JHrlL1XUsBu80KfqtokCiXIFKIVCGfDQP9WP5Q+QqMZTn0yQA0+YGUhcp0iivZIBGf77wdefEb86gJ3hpVmUrSL4gxU/hbcHSSSZM5Z0Shnc9vPSl1glEl1+INSiqAK+pyzp3GVlEgVxDoqKqdGdy4MLFWqHSLSSqBbPpgnOrK+2RvA/Ep1q3SX9+wg4e4vWnknstUqJQz3a4LOT7gfrVEiU4BxaU32cLv6ZtZLJiERdjGPVebrgfz+pzLmrksgttOJ7vD648AVato4aiQ7H/d3hZwi+Ty5LWVydRKtKY6Ntz4JHHLxf+Bf7obhgQX0T8LHzL9haNfDzXzXUKJuCZ976q5GpSaLJt0ax28zAgx5fvuRzmESLh6QCOS3BexLYLuodIdHTDvm789bg3me/oO1HcR0WcqsfsAMvam5bvYT9RQFN5OMV8Iv9/7LbtXA+7HK6/9oJvPXWWZkn2iRyl9ksl+4K3pv9PcH3GInun+2buOMB3i+fOaivQ6IrR4parl4FfyGYwC11nESKDyI/WviA52i9E1/CLvLbdurkDfDHz4V520+QSGJaWUEpAHxOrWAk6ySJ9qFVj7YFgfuPe6X66JKI61rBtg0hdPciw/vgqVMkstJCn/7dBt96rqhIQo9E73Vzk4YjwD2XpLjnsUcr/AzrjAK3D+rWa9HHdSbjz8PKWHCzvmq3xwY4DqoNzXnx4HKsY14ep0nEU3x2y4ME8IPjeqbahiQKz02OD04E1w+ek9x8BveXj3G7XZPBuz/0tE1iv98o+930MXhaxoppjRGJfHUc3+lkgK8VsP54/yyJlpY13ypmg4/wcW6xP0eiq3H53dty6OpJwqKBijGJdr9O5efJBx++u/vyBhN8Xpv5r656TvddTOnmg9ifuLEtjL8A1+m9+F/JeVxXHZwfEcV0eStquXD7AolEyzXNG16D51c8f3DelESJfH5aJW/B+UuOCMtcxPPMHoFTmRXgsYzb/Rgu4f7+htU7rgrcLkX/Qwd2Wyft6oAacJtbjeOZZiSSZu7Y41wH3lYU9dfLnEQnFJLfmjaCe2xP/65tgefD1+l2J1ro/i6xpljYEve7o6TioU/gPz++th7H3pekumNXB3jVStlChRWOv3uDktAX8PYrPC7R1jifI5wc2L6CG/OWN5jZkKgjZVfVX4Kurs6XMsnb4rrhOLd/mEZXDwXWizPZ4XnpVX1TVx+4kVuJ2GfsTAcTA+sG6frmuteMWZfx/PbK2rhkCFxhgKve055Etya3GmSPgpcvvnc8eoVEMjlNV+6Pg7Odbf3D74DrfPaZ7JBJcKVFBYth7Pa55auvToP/Hl54/tqRRN+uz9+wnQM/uW1TX6gTiR72rd50bh78R1Hi9Fln3HdS279q/wNvTro2LOWC60mg2WulFfD4/jfv/mL3131Ssmt17f/8eISxd70riT63pXRtWgPunXqBN8ENz3WdqgLrWcElJGvibNxxnRQL8l5ZC94oETWj4EGi7hDzxUkOcNuMdweYPfE5dnQ+6ucC98w/c+EzdrH2jkudPOAjWoZWGV4kmjU4q1nLBy7tX6brdpVE+VImWq8F6fzCnU3q3ri+iX2+krMJ/MRofRPXNTxvcL4rTBIFd5RzvtCLvffDBv4ocfBR1aC2fB8SnReoTQrYBn5fjFnq+nUSqRKd6u5S4DXf5i4d8yXRwoACm80ucBRudF3gBu6nrN9/ndsDrrNnx7Uf2Mkt3XPH94LndF0xLvLD78/EJqK6D/xu/NbNgf44z8OdreQPgFd4nnyvG0CiwBiWFkklcOOwCe3NgbifTtaeFvoPnOMbU9Eo9u+B2f84VMEXQmJXvb5JohLJtBoGDfB3sQkywUEkIl4/y5s9DO66QUBNP5hEcfwNRSNa4Gm83PtFb5GIT3yIpHTAjQpD1o1h93y9elv7SXDBP941r0NIlPp2451aPXByfuRicCiuzxx8vG9Pg29u6ab0bpOoInql7JkReH3QURWRMLyv7WgMyjAGV99/IGAU+2yp45UHF+jOffpJ1qtwHP9dP9wiL4Gndz4qCIwg0UbzHYk3LcBfTfA9OHmHRF819/ZftQafNOK1ForEdb5sTsvRDnzj9oe8P7BrFLq2WlwBv+CWlV0Yhfd3jmSPc07gfqeVN/lG4z5V5qKs6wqe3X/OTSsGz/lPf2w57EF3HxUY83liSVRQObtN+So4l51iAw370q/7x/b6gDPcXah7Gofr3rbayO036PKk7dhT97skGj7l/XtzAHiS8k4HFI/rs1mOx8Yg8PfjD3jW3sP9S1tfYF0IuCpjYlIndpEFux6GMLq/m7CHNeU+7l/Wo2//RoBb1xuesUvA9yuguexXFPiRwg0h8g9IdE2VjfoRCz7tZPFwCftUwoNNtHjwfeLHo+sekkguwNPncwLdc34028Yk4vo2mTDfnAje2/Njq0kSiQR65+/VJIPvFE2sknhEojVHYg3KHoPXto+qTWDXETWRKcoAb+PtyihJJlGj1YmdedngX1jNRv1T8D7Ca66ZkQNONd/mPpaK56idsb5J+eAXb+pv5nmM8yHty+e7z8FPnSxbS2L/eF3qxJ2X4AKn6nsy0vAeWuI/EPwKPDbX645DOom0T3cn3HgDzhPUJK6Qgc/FQMrBq4wu/ks1D5exe7yyu+T8DrxO2Wq2NpNEygHxrnbvwScs8uWisvDzSzLSzT+Ar05M1jfKJtHZC9HTJvV094hZyVD0CYk4vfXMDZvAvzf7Kw1h/83V9+vkR/DTG91XP3uK98fdiklabeA/GXnzPXPwPe3QtVHvBBertlRSySWRA5eY3qEuujh7W+asycP3bizjnEIP+PVTvEvN2M1cO/1lKbpzdLoqdzefRIUFT2p3fqN7PkPUMZMCnA8FQru2DYDv2GN8WPwZidhvbC0Q/QHOJ0aIj2C/LF2mKzQCHsnEM/DsOYmSmyhO3jHwLEbGW56FJGK1C5jg/EXXd7Tz1v33Au9rfKk/1/6mqxuMXO6ML0n0fEiOhXkW3Om8zLsG7DITcmoMf8FZA9eNRxWR6LbKgwf/FsCDHmcuGRbj+WHclOvvEnjh8PKk8Cs8x27wzZxeVfc/7wgWqOvDPv1u7OwvRvBH2dN+2SX4+Ruyd/5kBlfwjRF2eI3nSZFMoSE2cFWF6Qdyb/BzVnqlBtjBq1cLLf7B7vnplGEvJ/hhHhZUXorzNncyheAGL0t4axX4Fp9L3mvWbl7wiBpFp6NlJNo++TiqUwA8ut7PhL2cRBbxmfvahMEFumJ2tmG/XVr2p0UE/Ju4Mxlfge+v37fuRjFw4V5hF+N3JNrBtLa7TgLcAd0bFqkk0avLcrM128HHvL6pD2DX+awv+34n+NbyRb/sKtwvbCxvv5MGZ9UcSbF/T6IMzUurymXB16rnpMlU4zknFsWXyoOzjKPQaezHvRaPvlYAP+GTe6qkhkSXBO8IvDoInrp1YvHaBxKVpY4zFx0Cl9vMFqZSSyIWBT6eFwg8O2VpgaGORNTqVf89VwfnHWg++QH7m70ZQQWHwVdvuRocWk+i1ROLI3la4LZRq1J0GrBbrnLI1QEvuGyTuL6RREOVORw5J8Gf/8y/1oa9VW6m6YkeeMnxz4fuNuF7Ovw5O/s0eEA9re9MM4m8ubUfZxmBKz5sshNsIdHMtyOvM43BfZaSOgnsncH1YxkXwA32nBZP/kiiPPk6lYxL4Bp2v/UvteL7LnKoIN2CLs9/XrUW/4T3IO8tyunW4GFTw+cHsX+45vA9zQ6co1RDIauNRFlnN+WnXQFfDgz7bdOO9+5jkrFpTuDrwitidnSQiDkk6G6aK/ipDX08P7E7askWpXmAmxpOX83rxPelXnwq7Sr4nvtzlQ6fcTxVDXXSfcBl+Md+7vmC9/GJyvfpN8CV+D7P/8J+m/2iUUYAePLnF6PPu0gU81WKLTMInPv+rQqXbhJdj+PvzgwBf5+k5yH3lUQR3hI1WWF093oHL+c0dqpJqyX7Dni6X3v4yx4SBTX5Tj+JpvvegbCfbgS+v6VlCjlx4PsS0J59JM5zYvle7j3wx/1TBjPY97v+tzH/AbgJS/r5Igrva9UuBQVJ4JE6p7XcaSQa3Rhv9TwFnJph5t/XS6K6vNSDL9LA9bXL6qexh7bf2VmUCW4X5XHh5Te8x300VHz1hO7c1+/77NqH6+3IlPnrXPA49nkZuX4SSTqa5JQW0MWt/YPDFPb12eHrywvBm58kRj4fINHebz5R74ro4tPlE+s0iPdr623S70vAz2fbeO/5TiLZkIChmlJwR/NLGuPY9WJuV9SVg9vr20zm/iDRf50KLxor6e5pla//5SH8/NTA9y3V4H8WMqalhkn084j1r0+14B7aNO0h7PuFCMXOBvCGvztvZo7geujQk9zVDP7vdESKxSjed+5eECNawW/mMKaI/STRl4ELlbR2cM0jsQG92Ne/6PTp/0x3jh4Hjz4aI1GU4VuDH93gorcWfhmP4366bZ3WKAG+pfaLj8AEnqN8ys9O0MAlg1pHP2Mvft4U/LsPXJ7zx6G4X3i/FpFpnRukq0uvhF1PTZLonFjfvsUh8NBGlzCOKRI92Ei8WhkFn3w4EtyIPc6Qz5BpAjzlapBlyG8SqalHcLJNgRcWaUhqTuM59qDCD44Z8JepUk2rZkgkmMjxlfsPeELkPoNy7G/q1g3zL4BXfLKt8J4l0Z8tO3k2L4HPvKllV5gjkT6bubH4qnrIk0e6Kr+xyw3mlW9nBP/0kcmg4A/el3mZ/pNmBpdKGzp2+S/+Xkazbjk28An7+W2S87he8ZRHKbKDrw5QHuzD7pW3wUKFE7xY4VnwowV8jgpn9TW5wSv6DdeeW8T1RyjswjFecA1C1nXjPxKpvE8NOiUA/tFTrbwV+4GE+LozwuBn2W//DFvCdZXVXPKCCPiRadalw8skkrqxkmohBm518/3UqhUS/bKxOXBZAnxoY0nDW+xZ8nEjztvB3VYNB3muopDXqeslXjvBN6Sc2bqXgUJuezY9viENvu8YU+ZP7CkqV7KCZem+1+Q3W9ZqCn3+bVUXIQ8+Ky2uf4mRQiPlq5nuKoBHCMf7CjFRKIjn0PnEg+ApfscjOrHr2a77lHYIvLBY+0bkGgrV7718MQeBvxCMNNBiptD5H3prX6iD/2ERZl/NQiHjpbef3hwGV6emst9iZ/n1+EWVFnjZHM92D1YKBexbetagQ/ecwsDbe9go9OVoXX3bSfBfV1DrEPZ/6fP/vuqBs9zS+Zu6lkItNXeO958GZz//hMl4HYXYt/uWjBqB7z1pNMPNTiEbrar/po3BBcrO1TVh98g26F28AF69ptA3iINChdXSSUxm4Onhpvz/rafQzc3a7hyWdHEusLg7i11OIcWGzwa8vLVqJp+TQrNROzxFL4P3nrqmaM1Foen8vhQpB/B/cZEXRTZQaPPGqsG9zuCRiyt2X7B7Ha3SVHYDdx1tNYrkplBDC/FO0xP8Z/WK1BEenCfSa8+c9AbP+RlNLWHX+HWY5ex18MoPQR7FGymU+jC0w8wPPPcVOXmFF8ftTVOpfSD4ia0PdSX4KPTzM2u5RzD4b+eKGAJ7oM/BHr9Q8KNrdEpi+SlkoGDEHRYOfvmIWqW2AIWuxZlY3Y0E//IwLW+VIIV+b1HtSI6hu0d2ztdLsGc5LJs8vUsXf8E8GUchCtmxRa+8vE/3HG6jWglhCk0GTZRXPAS3L3dVJbB/c+G53/AIvD5gVXLMJgqVmv8N60wF76pn6D26mUILo/ce9KaDDyx6MS5j/5s8/H40i+5+BVmuKxKh0ATPEPPcU3Dxlvo5O1EKcX8Lt2LIB59EWR9Et1DI+eEnGvtz8JGjy16fsbMSBa4CL8FNTrVzhItR6I3SFjGJV3Txr9kaoiqO42wgMirzBrx2w8zALPagd2ktymXgp9M1JXK34jwUym46+g782g8+rUsSFBJdvW3Q4D24n9YVXd5tFHLi5uO/9AGc88ARpUbsWqNullfqwQ9uyWL1k6QQTUqx+WoT3Tm63imV306hc47nTwZ/BL+ftKQ7jL3epGc0pg18kONvfZIUhbbF5T5O7gRf3n9jm94OCumWNLjmdtH1l6AYqzU7KbTuyh7T1z3gYvbyt99g5zrTYfGBArc9ZxXtsItC40IvbrZ/A1+slPIR200hebOa8t4BcBceP+3P2A9+YuQe/wHe/N5uMVSaQlZcl/0XRsCvqI1GH9qD861xkpV1HFxo9eq1k9i7n8bk8k7SfZfXC+t0GQoZnj1iu3Ua/CnfUtYZWQrpBLKivXPga/UHGtn2Uiips00GzYP7JFu3l2FftZSodOIf+Evn0HInOQrtz7l00WQFvPW/YxHi8hSqChdMtlvdAPOkT77KZ+xy+pVzXmvABVNedobsw+dbcNLuFiu4i6jpSaX9FJI8XTF7dx34areC3DHsMrOsSenrwXu4ssaSFSgkfUTq/IsN4DbORzboHaAQ/z9ehaqN4NfZYgQZFXG/a27a8YkfXP90yJpi7F5OGgd6hcB9GnZ+tj5IoVuJnqYTm8H/9l0PFVCi0Du2iylLW8DF+P1EG7G/cpubZ5cAL+2Xe+ijTKHhOAXHTdvBv1U8+Lv7EIWKtwn+27UTXESyWImG3fH7/XRlaXCDuFuXov6jEIrOs9SRBW8K4LysqoL78uApZCIPvtdBz2gKe0bqDXl7BfCothNSaYhCu4Jl1HwO0j1/FzOlr0qh5/oXbMMPgZ/44+PBqEYhhiaGp4kI/NmL51MvsZc952PMUwdfR2TqWapTyKcu3rPsMN3zJ87Hb9SgUEHHVcYWLfDey11lNdjfPHzzlNIBt2zlq3fXxHHr17ObOAk+/3BTicRhXLfdlNVX9Ojy6sTo7U7sJhud93EZgidaBagGHcHnFTmCxM7SnYvlQI/8UQr55j22lDMB52nacG4Au5NibJqGKXiq4Pq3sVo4zstF86fNwN+1fV2lro3rTyPjZWtL8F0enjunsJvYX532sqHL51vfD6Qeo1B4Afu925fBq29J7dDVoVCuRaleogP4sQXV5SXsHCY+kvnO4N0WsiV5x3EdsNLe+M4NnOXoXwOTE/genRERbvOk+/32h51sJym0uDytNOAN/jSM/+Br7Mr7atxmr4Pvn3EJsNalUHlj6AcWf/BHIzn5G09RSDZBWVboJvj5yery99g13b683H0L/GRkRaGzHs4HeYNT6DZ4oXbSbRF9XP8Lc9foR9Dl/1PTw83YOWq/dlhGgcfJs3z3NqDQ2uNdpV6xdHnifN92+2kK2Yskl4bFg+sOcX3qxI4EpToeJYBf3uIhHGhIoWhBJ6bCRLrzyvhwTOYMhVSWrpysSQa3W2Q0JbFzpwsXdj0GP/tsr+FtI3zuo+67f2aAh2qfklU4i+tnsWvlcjb4uIHZr37s/w2sd+DOBf9y1jo26hyeB4w05CQLwH/3XxI8ZEyhG3NsXEqF4Md99YOGsW9MP898soiu3r481HHXhEKD6vt5zUvAa7jEmNXO4/tbdueQZyl4uxjD5nHsZrMXr4eVgy+50vgfXKDQjy+ZncmV4DtiSuc0TSlkrn3u8MtqunNhu/9mEruPgvvHulq6+mzncSnpIoXI0EknsgH8HzL6efQShZZ21e+YaqY7LyEV42nsp9hnF9d8Ag8P2ZWfbIbzmd/lh1AHeBWf2KC2Oe47SgojMl/ArYy2rMxgP2StwnT4K7j6153LKRYUenb75gFjEvzWbvW+Y5a4799bCXTqBS/us3kyi13WN+9HUD94ye1HBqlWFOrdG2T+8Dt4S/Fg/zFrCrVm+889GwaP/6NyZhZ7bEdi2oef4Kx9+fkpNhTKyWm1JibAbzDJj2jb4nhu5dOYmgLPn2llncF+dr/dAZZZ8Meat9iT7fA83P1eY/Nfur4QYjRz9DLeg9ZstpVfBJ/SO1w5hX2sxCVDexlc8YCec6I9hdRHSv9eZGj8n4s2X2c6fAXHOf63pScT+M3MhusT2DVKuUciWMCTzx78et8BzzOneYPT14Kv9mkRVHOk0FvzGcVSDvDUtBCVUewVg0+Z2rjAq6zsjsY5UaitR2Z4iAd8vYn7vkPO+O8e8R9Y5gMPFcxZ8x272o74OV4h8AhF9rd3XPBcfctWTHozeIdu0mkFV1wfLGYsNLeAO/8xaadhl6mWqzDZCv6p7vi+EDcKheZtlnWTBK8853xNxp1CbJLP3oTtADc7Up/Rhd3wQJ9x2m7w/dvPvPTzwPvdcD5PqQw4zz3hrO2eFLLQ5BxskwOXkxbybcX+z2ClaWQ/+JYQA0UvL7xfiF9tYjgI/kGloUvkKoViyt36BQ+BW/+6blKLvUd2jEsO0cV/n3O1gzeFasKIM8fUwa/kZHDyXsP50KNcZH4YfNO4sGoZdgEZlh0+WuDnH3SdtvCh0MqDA8VxOuB7j389sfY6hSJ3153NOwm+mCa+qxD7qflnPB/0wD2Vi8eMfClUxDP2nToN/uJlbOwyduZoj9Y5I/DNOWWbMm9QKOzmkU+cJuC+5fvCdfwodInp3LCUKfh0xD9qCvu9Hdn86mbgsyW8vAn+uM6s22VqYgl+jhYgqxKA55Aq2lt3G/Ajqeqyg9hTbMpkIy+DaySf2xgWiM+Fr6Is2wF8t3c9KXMTx+EndbHKGVyxPfr2Z+zdDHxChBvd+xwrEvIJopCS16WfM57gOsH7orcE4zjblXSsvwZ+bSvP6AfsZvMbO6R8wYXr9aTsb1HI47DbiLo/uAjf72NcIRQ67NTMd+EmeOvzWb1i7G8ShEy8boG3KJv+ZxxKocxBo1cxt+ny1kSaYwV7tecNqbwI8KkXllXpt/Fz3EILa6PAeYfXGGuFUYiTwVmvL5buvFK4u8awKx+WYf0XDx5yI0IxJpxCcTaVn/kegPft9LixP4JC56M3l+5NAo8/9vHJV+zvhlWLj6eAMwU9KPG9Q6FPDyXqbNLAh3y7c8QiKXSz7f2vwEzwE70RgR+wv3vNK5P8hK6+6b5WsYuikLYvf/CbXPAEz/O97NEU6jj+fqqzAPzkv2uWz7FPGXJ5TBaC77nN+9EgBudb/eJ69mLw5Q/Sm/5gJztuvNv+GvyLyYeTD2MpZJoTd0vjLfi2GcrqvzgK9fvus7xYAf5a0dvsG/awAJOzPlXgOR0Jajfv4j4ystrifg24m5MKs2Q8hRRHJYJe1oETr+yf1WNnLn37trURnNlQ/D/7exRyjqpiG2sBd5y1eMZxH+8XabKOrG3gvRpyzM+xl+xkHJHoBPcbi1TTT6DQHXP5a2pd4HWJPmYz2BmC3oqZ9oCHL89b3XtAoTON8b3XKLp8q1qnq/iQQqUuZS/vfwN3jXuxqQe7csmO5KIB8MEtkx99EnG/7u5KbvtB9/4CtVabkyh0mreqeGKEro9IKfRVYI/P6+1fNw6+YZW62qVHuO/0SkvumATffvJnMEMyrhsTmX5HpsG138s/S8POIqL+y2KOLk/YN5drpFCI9fk/94B5uvpDPnk2iF12pJUr5R/4z/7uW8GpFCpc/+p92Qp4+6cCdcnHFMqzfhrWs7oJ6ozR7oFa7JsUM2z/rgF/sN3A1iaNQqONqef52MCrpiXaWdIp9NPmgfU+dvAeh/QtT7A3ng29pc8Jbqz1yUArA/fNYZsyZ25wboV8+2HsSWZyrFG84GKjyrahmRTy39Bvly8AziBwQ1sqi0JbD7v0NQmDe7t5cNZj/3Ssx3FUBDzv+dZSm2wKJbrwc7OJg68LCtNmeYLnLratTdu3gZum5ZZnYX9i8efBESnw8spQviNP8f7VFnnDahd44t2tp79jP581cDVoD/jrDl/PoBwK2eyfDE3fC75z3wPfrbkUOt5RUPB+H118rnjZvcce9FlwtO8AOKu8kJJZHoUux+5SZlAGV0M3f61gVzSjPd6iAm6vVXQ7OZ9CQg93i6iqgaswP2P9r4BCIve4nl/UBK+U9bhCYD/wLMjI7yi4gT9rsfczCh1Rvbkx5Rh4ev7lfv7n+N5lMg9VnAB/5fJophi7iBJbK+0U+LfgtJ8GhRTacyG4edkAvDHdp24K+8MrHr0iRuAuwTtDo15QqL2ugwUZg4t+fy4t/RLvfa0PD1+8QHfuvlyvG7H7DtQk+F0Cd2TT2W5bRKG9NscZUi3ANTXNfdYU4/wp3+VXaQ0eN2JUlIZ9r/YF7j47ut8XS7ejV/j3zkQpgwN4rMX3ThJ76v3Uq+LO4GyF/mXeJbhvSmbraLiBhxsz3OZ7jfP55oi8pSf40c12Si+xl/Ob7w32Bn//6s0n3TcUUji+TjPrOnjr4IzOGHax8F77Oj/wu1ab8kJLcT6jr0+GA8HD/uydkniL4/P59wLbLXCvcweEq7A3vpE033Ub/OqxPTsvlOG5wtiJdjwC/M9tAZF57L7b6pwco8Bfdv2Zu1tOIalwKb7oWLr8n24pkq2gUP7inbbCeHCr5CSjZuy+w1OPOxLALydY9dq8o1BT9cmQ2UTw+rSdxxkrKfRlVUoAfwr4xxvjj5KxZ/FQ0QfT6OrGxLPOg1UU2u/CWGySCf7ihdtkJ/bLUewTvk/AP0QqTTm9x/n8/bdyai74hCZz19pqPGeOPE9+XwC+PqH7cSZ2Fj41vu+F4Od1Xuqp1uA9a+BRGksx+AXxhB892O2bqzR2vgbv+xZ6yeMDhYSPZ88ffwu+QSfkHWct7lM0rRqnCnDzbfGMOdhPMzxOj62iy9t9Rbs16/A+vjfnfnENeMV/P5Ro2A//Mk3trgPXYJbec7Ue1403b8oXG8G7DMKYuRtwveIq/iXyEdxnbKU6F7uZp46Ceht48L0o68ONeL518Iqx6qTLQwHlCRp2F295httddH3kIJPJ1SYKiYtcC87rAe+uHMvb0Iznom+HRT5R4ITH3EAO9oijMU3T38Bvbdm6SrMFf9fXM3f4B8FX33ZnoLB3bI6xUB6iyxOvsSGPjxT6/Ujp5MVR8OLiiJfrW/GcNnDixM1xuvu1zsgyG7vJ1Q+XsifBQzROLKBPuI8MJ4Y2TdN9r6SLRzd2k8qmml9z4As3aj47t+G8jdDl3bhAlz/82sJs7XiuI8WuKS6Bu79ZdeQxdsP//ps+v6r5fy60d9zwYAeFjqom+Qcwgqtrc+m0Ye/2OCiexQzu1WK/za4T9y8nzu5GNvC42wzfV32mkEOlQNovdvBK7Y7bCdjvLOr6b+Sie05PP4/sFzz3Fj9zPcgD7s0qd7MO+62bct6mfOA9qe+7TLvw+yy2x90UBP/nfG/DHHbf4vD3TzaBhx55Jnunm0KBWkZrPoqC+/5av1/iK4Ven5A9Py0OLqpUIvIW+6TphjoBSfC1s0/H9Xoo1MA3e1hlB13cfg0/Hsb+letLt8Vu8Jt/PJT9CArdHynwuy0DXkXpl/KSFDJWuab0TA78kUuASB5283w5ts/7wffeZLRVp/C88bn954IiOK2/51439tdGhv1bDoGfNmPLdaThPb2jaOwIAo9tjc5g6qWQ09jPtQ7q4APLrjcfYv+iMXso7jBdnCsLj8p+w/uUb1PgGy1w46GTUx+wl6nYkb064Hc1j/ub9FFo2+4GbWZdcMbc3JlJ7AZj3xt364M7jjuevNVPIUfJ0osGhuBDtPt3hAdwngSqsl47C96mL/XiOfbnT91qUk3Av2wSLzs8iOfMwyfv1pmCj3OF5PZgP8XQ5DVhBn6O8Zy/03cKqYQOOvJagefVP1Bi+kEhppB470O24OX7dXoSsPPldt+3sAd/Kep0UXoI95G0Jw1hjuCrz7M0VmE32ryK84ULuFUlr9CZYQoNNn61+eoO/kM8SXcUu8t52c5VV8G7ziVdvjGCf39z2UDKB/yrsoA99yiFNsyoDOneAO9I2aCXhT3t0tgdrwDwlfNhm5R+4jp8g0ErJYju+ceCWlqwq6725q0LAd+pxmBpNobnkPQTcxNh4OsEGL/NYBcXuDbKF0mXh9nhaqHjFLokOD+lEgN+rCEpVHiCQr8ufmC3uQt+xFCxuAD7m8yvSlH3wXm2XapT+0WhB5my10segitz873rxI6EP3zqfQQeM2eSZDOJz7c6RpH1MbhCnvzFBeyHTWJeymbQ/Z4jheXOFK4njyvUzmWDn51NiRf9jfdZw40DATngt1QU2V5gn1O4cz8nH9yyxs5ccxr3KRaJix3Pwf3NFR5/wR4f2nHw30vwNzMpH2xnKGTne2/7thJwGaMnrQvY457aSJ0sBde31nsXMUuhyja1Q17l4ORy0l2ROZwnb0UtUivBG5YidJ9jZ5T+l9RQDW6runVS7Q+eb8fbRn7Xgh/PMPPswL6qNlF7UyO4Hsuxfsu/eI66cbrscAt48lGa/Bz26r45NadP4KkaW+xD5nF/KfXtSeigO8eeDaECC/i7OgaC338Bnx0pCnuKPXNhq+bYV7p+ob/OTWmRQhP/FHn5KLr6PM2n1oS98cnmefQNPDrv64zJPwqFtzT/shsAn7xgGDmG3UpZbT7uB13dHg7n8F2ikGW1B2/FCN3f3eXnyrGM+84BK83hMbp+wba3/BH25Mtrb3FPgstapI9Lr1DIWfZSz6FpcEGhbsYK7HcvmKnZzNE5V9vKiVU0lFzH+jZmHvzk9ug+Cnuvpt7Rsn90fUed/6kDAw0V5+3/8WMF/KCG7Zkl7Ie7nt/fwNjyP4/nCB6JWE1DKY/KTQ4xgzsGOZlvYqSh8q9n5GzYwHXCd1TlYney9hKOZQdfWFO8RpkJu6gQfzkneFQ3j2wjdrO+g9uGucGth46qnltDQxW32w7z8IFL8BsoDGOfmCOuqgiCFx8/wO3FTEN7WU9X2G0CP+ow17GGhYZKHu3jixcFP2sa63MXe0jCVf9KcfCsNRxsW1lpKLpHaOnnNnAlbdvrhdgfH+GL4N8BbsGZ9Rmx0ZBbpZW0xm7wVyr1Gz9iv7ubqc9RBnx9xaeD59fiv+s8lvVQji4O7lWao9jTXQX9aveDp2kn7b+6joakhG7Z/VYE/ythwc7MTkMyutLWIofAQyf4G+KwNy6weRxDdM+PLLMX46ChDmb+e57q4NHj+jMF2Dea6jakHQY/PUOaH1pPQ6pj+etbtcDHw8+XNGD/+kjaelEH/NmjjqkznDRkfKmhdbsu+AEeTe5B7Czi13VO64PbfXkm4MJFQxLtql/9DcFt2wTWLGMvu8TtnX8WPHvCvytsA/6uip87e0zAvwiMRvFz09BOWt0E80Xw30pn9mRgTyp8XCNvDr5fte6FLA8Nvd3tnnfJClxqI9pcjp1RUynrji14TNo7B+2NNPR9bKKw1B7cv+tYxmfsiZvvtA45gh9P6a8046Uh3RbOlY2u4Hd+hFaPY2eZcVFV9wAXfYjyvPnwfQwriHO6Ci6dzeqzhh/HJ7zyb5IPOP/id5kY7Mu/0pwab4DH3vzauEmAhrqKTv39EwAeuee7zhPsm77UxG4LBlcbXftSXpCGJPUWVAxCwXdmHl/1DvtOibF//uHgLCfz5I8J0RA6Gd9cEAne17HrxGfsxq2T+WQM+PK2luOXhGno3JP51LXx4L/kY+V+Yp/tyclUTAAPGr++7LGJhj7arby1TgTvVo96vmozDV08+3vgbjLd+0s0aYVj58i9sbn6MfilQLk6XhEa4rVJsZ3KABc6WbcrFfvDWN0Pok/A714N99wpiu/dvjD5k7l0933aP7sIO7fhsZfXC8BLnz2tUNlCQ4X/wjRzC8FZU1nK6rFL7D869LUI/NyrpBR9MRqaYb2WyPoaXPL7ZTsSe+RNEbMDb8FlRd0FrcVp6FChjKJ1BbiHUemzX9h3pDzZEl9Fd78C0G7vrTRkahIkVFMDzhi9Jmq1BA21z5Rvm64DT/Va3x2O/bjPKXXxJvDNu8+z8G6jIf8VBWe9j+ANjyc3JWNfjL3yzL8N/FBLi8B2SRrapzW28qwTXDt9duEZdne5QrPeLnB2wcvVittpaN7qVed6Arx/q7RrFfaWP3NnVWh0deCNKssxKRr6seQw4dAHHtCaFdiOfXMUX/yjQXCD82aDxjtw/Kt/Hm8ZAtc447p7AHvUi2HepVG6fvSSMLbfieuYJ+vk7glwmyspTtPYT+88Qpyfousvnu8u++yiIeXhpK6IGXDDxv+OM+7GfaGZ5XvZH7rnm27aGI49cCaAcXwBPGH3hffc0vi++zLLb16m63e7Vhs9xP77VrTbCYaPMI8ZcLSL7aGhTzLCH3yZwIuS/eWfYq9PeLy9gAV8lMnUR1aGhg4MiCTS1oKX+WU/LcF+Ym+kKOd68BzWixUqsjivskaL0AZw9we33nzA/sFKxsR540e6PNmSeHwvDf25a8T9mB98qFTaogO7xznTnjYh8HOqhRuM5Wio76vKy9Ui4MoleVnfsD/5byZJXgw8Rkhc3EYe15987/uWEuCZVjxB49gf6TWmxW8HZ7wb2Oy2j4b4DPsqaneCuz12WZzHHtX/5ucfaXCGsH4u//009G2b7o4de8EXtLvYmRVwX9BJ8jLeBz5O6f0K/38PSPoSfoDufdRPv95wAOfJ3LEj5Urgch7fbO5j/9qdVjvxH/h3179LmxRpyO9citEWNXCdg8nX0rBfeKo8r6cJvq+2g9p+kIYsF1xzbx4Ff8mfuD0fu5WfqmPxMXDe3XNGcko0xHMlRW3oBN37Mww5lmBnmg3bJqgHvj7B6cohZdy/dJcFdU6DB4/HnKrCrvBiRsTXiO57GU4JHzmE76+B3b5nxuCrOnObG7EvXDEy7rsAbmmZban7Hw0JK5RG85jRxeGF5kAHdpmRiK7DluCf3gVr4QKAqMrGPVdtwF+FX7lLYi/863gv5zK4Lf9i7SVEQ1wt7uspB/ApC/lvg9g1fLrucbqAZ7jyf7NVpSF7tVgZdXdw9sNPa8ewx5imdrt7gf8hR+Oc1WjoHvdSTPY1cOdDtKMz2A8mp5v0+IJXWwX3e6nTkJhG1H6OAPBrJv0Wi9irNd6KqgaBX9zyp+mGBg3dHBAXcgsB9y75ILRaE/cp6yqJrDDwDRKnTgVjF+GORV/vgOfZJVxhPUxDG3ZHX2aPoTvfiFSncOxo8VUmuguuFHX53PojOH/qGKZc74O7ev3dEYN93Vf741kPwQ9qH+/jOUpDz7wnS74+Atdms/W7hz1+Okye4zF4WtkJJkEtGvobo/BONQPcz3bFKRH7p9QJY/dscGNuv/ebtWmI36GA+UkO+Ni7j4sp/8ekfYdj9b4BALdChESolC0aJGVkHNlp2EUSki0ZGSWr0EAkI0WyiZCsiIhCEVmRvK+yIopCyeh3f//53effz3Wu8z7nee71XIBHaXq8HHiMvt13ZouwHoXo8957i+MJ+kHVMeFM8GCDaSeNUtL+bClZL34Y8lE0xdS3Ap2H5/hoDri0pophfhX6+X3dDyWPUIgkmpZT1Br0zwFSGvngHI+V/Ljq0XsW7Vt3HaUQbikxGTqNpDgsClIuBLcTb6D4N6Hz5V66I30M+n7KO8niN+huk+bvi8GNzAtDR9rQ9YMEFmT0IX+fWP7ge0+qq+fbaJ+Cty5/cDrajW7XYDcna0AhSuL55kI+oN8MnWwrBU/t2Xyr/CP65ueWt/YbUghT3o/y3wbRs73q95eDe5cbzgp8Rl8p5W2UM6IQFzkCqkxG0HfcPKNYAf4y6MSdG+PoHisZ8fLG0AftPvnXTpLOfROlrwK8XYDpwq9p9IyvG+gVTGD/2bv8JWZJddJHk7sS/Gms0h3LOfSItgvrFEyhD7IpV8X+Rv+4mPWtAtziS/tM01/0b4wfn8gfpxADXj/lVlZIcULDZVUBHiKeGrmXth1/95fRL7kTFMLd6v2sAwO61Lf7buXg6aGh9ilM6H/nfnTsN6MQv5afTnayoEduNdxcBr5hj0UgMzs6vWe93j5zChEb7i2kyole8U/9zFPwEafVLi9udMXuD9Z7T8L8pjkbn8eLfmolRPsJ+ELwIQfqZnTJGxpceyyg/0bQ6W7chj4etq2pEPzHe16Fw0LoW+g2ntl9CvKlLlQ+RBQ9eJ3kSD64cpOmdsV2dI7SU0d3WML5mhifnd6BTstckpILztiff1tECr2Bd2eP+GkKMf7q0DtzGdLzv1p+ZYIfiJLYHLMPPT0vZlHYCs4rTcP7tTz6m8MhYw/Bb/omUJcPoL+fSKnaZg1z4xV+c1lVdOO4r97J4LaK7z87HUQXPmXLt9mGQhznLL74UBP9kNH69ETwqZBSwQ866FzXZzdsPANzL/3HXrbD6Awca11iwTnZ+ZM1j6H3/jF7xGFLIbT5fdz9DdHDTgx3RIKfyx02LjFBP6jyiLL2LOS7lLX2xAl0/+dFXeHgFpLjOoIWpPePzxfR21GILN4LZidOk+KkM9ArGHzCh87vlg169a0j21bAOV5HZb86S4q3PTbFF+1hn0M5R5Yd0J+9rZVcAB+XvbFnnwt6jJfDTU8HCpFjMhPh4oauomzZ+R3c20l9Id2DdL4H0mldHCnEpflL5z9eIJ1LiALfOHjD5fjfnH7oI+LCPLZOFEImNOrWIX9SPBA2SxTw4Nun94UEopcM/W466UwhjHcyTFSGoHsIfPXvBefov1gwE4p+kXMfr5EL5KNIdaDEdfT7rYNJbeBBsQ1W1hHow/bj9Idc4T775Jb+3Vvo8QtGpo3gV1j4jnXcRpeJFb5FnIN6JWlhwRyP7mxgVlgFfvm+sa/aXXRZ3YWy/W6w/unlNL/76KUxq5nF4P6PjQaKH6AbHvTy33meQmxyMRCZSENP8ziumA0uUT57USiLFD+KjyiC7jBvCOylmueiTxe7u9wHH1BgM47NR1eYyadu9KAQz+ICe94Uog9ynFaKAb/5OsSevoQUDxI3Alk8KUTYmQ2MymXoGsbSeaHgrSs7Sy9Uom/LM6peBTeQeuP+uBo9UGO+1M8L6s/Nr0pjtaS6qrQp4Sc4f/6VjQIv0R0L6k67XoA5YXvcyolX6G8Lp9nHwKOT+OZimknPW6ZnW3lDvt9nXWx5S9rnziGxfvCpJsd19O3otpL5kUY+FOJg9U4p5U5Svb1MP/AWnGODwWnvHvTasW/rtXwpxLzT++TCPvTRq/ZSteD2NvkT4wPo1ue9ZeX9KMTjxH5NISr6XONmwWLwpYIThSe/oGc8NJuTuEghtNSFxONGSb5NpjgN/NyiTEHbV3Qbi2zjzZdgLvUOU2OaQg/3qqLEgn834x1W+4E+dfW8Ias/3HMPDd+59BM9N68p/yq42rcRo9J59DV0r6aXwLeM8gp+/4N+7ZET74XLED+Dvkvbl9HH6iokpsA/X6YZtfmHzm37ROhsANxHyo5/P0rbgXFYZEb3CXyTpMrsJB16cUPRG+NACrHRTWbpGgM614vKS2/BhU7KrBNjRN9Z571BIwjqcMMB0ZdM6MujX29XgU8GHdawWoteq8+9KBMM+2Nv47TMgj7C/1cnDzxe/1JC0jp0znPJgYIhFOIOZ9wbOXZ0YeuV5ERwlrCCNd0c6Lt4BDLYr1CIwCv1Oh6c6BeL6G+HgX//0hHDzoUeduSx/TL4s6C+oXxu9LXs20S9rsL9aG+v/CEe9B/cZi0T4By9TfFjvOgnr1getw6F+qOZ//fqJvQM3z1ve8FZzQPthbagH+fp2n40DPryD9X+Wn50+WAd1wbw318mjU5tQ1f7EH1XMZxCJK4P7loUQE9XKSwoAh8yWT6ZKETa557MXLFrFGI50nJinwj6npfekffBbyakBXaKoreIiZhxXqcQMfqvN7uLo0eJFLFeAw9IaKlhk0CvpGzJWQaX1ctzyJdEr77kssPzBtxnD9nyHdpJirctD+PHwUO959vHdqGvG6n+euom3GsKLG+FSqFrLdaJdIIPdiQZC+8hxVvQE22dCOhfL3ME6mTQ99+LNnwObnwm7KelLDr3eUtNmUgKwX1nT+vSPvQc4a0C2eBFcjkFSXLobB87Pm+OohAt0uN35BXQY6ouRUaDe9t8D+lRRH8ywS/AcItC7Cmq8vFSQpeIepbkBz68fMiTUwX98xuj5SnwIal7F4pU0f80T2rbRMM8IJkXcFQNvenx1Ys94GJdF6K+HUTvSBWIOxRDIXauX8q4oYHe86ouoQacpkmxfrsWeoO2U4jMbYhDitToK22SH9pikgUuodzHcVYXfcdCH/umWIi3ZtmDdHroEV6ZTyLBGV2Iiw8Pk+J8IkiZ5g70BdbFCtWj6M7B54q8wMtjT698OobObH2eZRzcaeLcIX8D9P7ia0dPxsGctiiavMkI3f1+pV8buF5+yHyFMfptXYZItXgKcX4yxPS4KbrsZ9drT8HXpok8nzuOfvXWnLN4AoUQrjoreceMdC4XU+SSwCWFNFJkTqIPtjpNsiZSiL/1z3k7LNBVnliEB4IPXm+/62aJvmrgzTILfvXMRUE2K/TDvZU+tncpBJNyZWG+NfoVF4m3PeCzdDc19M6gKyq9ZtJNgjjPmqJ8tUXf6x63qwpcgpMSfM0O3WV/vOKuexTi7v5TkuIO6Kzlb6QegJfT2vU1OqJ7bZVft/4+hdhqtxBl64wul/jpfQh4tz67Hp0rOp9+TdAv8CMlj9alnUNn9xjYaJdMIc4GtPQQ59E1JRXjesEt0x2zKO7oGzP7/uqkwP1oQ7h/gCf6evbnh56BS9cLmPFfQF+4Mxq84wGFyE2VVar2Rq85c+LhfXDttBeiJ33Rr+dw5a5LpRB2z+q5F/3Qn0bz3w0Abx2QZ717Cb1R94L7d/DcZQFm+cukfkGzVcbqIfSd9X6svQHoL0f4PraDx65T3egdhF4n4uyilgb3lLHzYtwhpPd/2zBaDP41llX56RV0Y5eNOkLpFOLUWg5zo1B0sfdet2+D86j5XZ4NQxc6sqeRNoNCSElpZcdcQ7diPUr1ABd/69UrfQNdWrX1y2fwMXY6tvab6Czcxe8MMylE4+z0IbdI9IfP/6bXgwe67o9iu4Xe7VBoJZNFIQi/3t6CaPQSrTaGNPB49nbxI7fRQ8LNY9dnwz1CcmvAt1j0spOmzMHgZxtq+2/Gof/8+dL+B/iGD0+UdySQ4io48/HpHFin1VxWSyJpDpFd/tQGvtU8dKNTEilfVFrnlHMpxI4XVhHM99En2nnm88HtboUy5SaT+iM/ZXBzHoXIb5i5ofMAPdRUtOgGuM6p9A3jqaS8KPjm+Af8u2liWngaOr2xHKvDIwpRU9gmJ56BrnuZMaEHnLDT6HyViR578vRazXzIC78FL7ts0v4LqtmVgPuNj2xZk4tuT1uYJ1gA83zJujeZeegr0o96b4Hz9LsEauajP6PKTS2DnzxFozhSgL5V8/ik82OoeyrNi1cLSf0ihuV9H3j35fo6kWJS3C6aPtQupBCaWyejGp6Q5rqSA2al4IWCaja2T0n7OVP1R6iIQlTeqD9AX4buP94XEg3uZuG6OaMcvfNtwq9l8ENJqjQalehJnQtHnYvhHHXkpr48Q3+3ZynmA7i5kyHlSjVp/tmS/VzzCYW4xXCrV7gG3ad5seMJ+NDWye6XtaT+4vqnbVsJheipsu0/U4d+SzXzaQS45ec/w3Qv0YO9/oX8AW9PzJlLbyCt/+A6RbunFOLbyDlWjVfo7dTWvvfg/e2HJIZfk+rYVQ0b1VIKscta8fDVZvS5s56dj8ApKQcuiLxBz35msYu3jEKY3j6c0fAWnecZ7fmr4BYazn22baR13rO/9wN8e00cF0M7ul58ZKFFOYU4wdxiktlByqPP3vlN4DNSa5I1O9GTy0Rvy1ZQCFslnYmRLnSq3n2rVPAbClHKYT3otP0DPKyVFCJNpide7ANpvr37tdwH/MTerfOv+tCt6xuIL+BV2rYn7T+iv488/+ToM6jn/lmvGD+h35D9zvoM/NOnz3I5g+gJ3w/qi1ZBPffjKdShkubn367+0eCvTx3c+XUIvTfcI+Yv+NcE68LrX0h15oPhLbtqClG631NecgQ9S2i9dwc4v+6F1y2j6HEPCzWVnlMI98GzFs7jpL4fJb2SBX5hjfoCywRp7hWNf7C+hkLodqxNzJ9Ef5HyWcIfPOBYlcqRKdLcu583eRR87W3Dyalp9FwxhT/6tTD/5LUlR/1An87TVqkCZ87bZSo1i26youki+gLWme7K1f4TXdVi/5Vb4Py5ER/Oz6Gr/9t05Q84Y9u1tPUL6AJi885n6ijEPVErjye/SXMpc4tyK3jGSw4do0V007HE3/vrIT6rE4V//SXF7V/b+6ngViLz9HHLpLgNlpZY+xL2n0P8275V0r6VL6d4grfFS/T1/EPf0Ne2PAB++e3fNz6073FuF8nS1GqgELRN9xp46dFNu0O9C8HpUhlfVjKg60qej+ZtpBARzsqvzRnRnazsY4PBeQ8e6PjLhO5W6ho4AX7xwCr1/lr0A/ahxkavYN4+Hz6vzIreX1LEWQ1u8LtjPWUd+rW+mUqR1xTiytSATBA7ev5GvUOR4ByOWWaC69E/5ta8nAPvv7ozrJ4T/UPHUTHLJpgHTrpWnOFCj2lddn8FXrPG/gf9RvRtA61Zu5spxIM0nt1ZPOhNSnUN8eCmhy67a/Oh00r1v1kBf8UX/2x8E7rL7KZquxboC7usmG9sQe98FRrXBn7lYd+pHVvRpb9tObH/DdSH2H/lb7ehZ6V9pksBFxHs5DkniB4m2ZfI8Bbuv/bHLrMLox9roOVxBT8X5jleJIL+qMg6oAtc456ymaEYuqv077YDrTAPNz5691McPeFqE1M6+IJItV6cBClOprt2rG2D+bbPpXX/DnS6wm3y7uAztNXGH3aiCzE92vUB/GF99pDfbnS7A36squ9gHxR2e22WRs+5EdGVCS5w/Qjr8z3oP+XGQlnbKYRzJ12e5V5079CbAp7gNYrHjvyTRY8rvZTRB943tGv+4X70nrXP1hMdFOLzZHKGujz6j9c6Dlngdv7JJ0YU0BukJHNY38OcUC7JGX4A/XSoVYcHOG+desd2ZfQ/LNNfPoCfqRmNa1EhrX9NN0Wlk0JYd623ciHQByp5GjPAH25/KcV2EN3ZoSJ2bReF2DT0m75InXTuppV658FFRYopBproik1bprrBr/FO1P7UQq+nGfE50A3fNfIwM04H/Yo217dUcMMnPdFyh9BZBvN11/RQiIPZYcF9euhca4ujncFvfSv0uXQEPYRDuK4dfDlP35P/GLrDfoaP+3opxFMWe69affTFF2aDSeBq8jMXrQ3RH84JvVkFv2c+FUZnjD7Jd+ah7QcKsSXZLDHTBP2W5xbrZvAwSdlC7ePoHjoGa3f3UYiVXZfefD1Bev8gXfJt8A2dO6dumpPi2X8/3wL4M01trt0W6DP2kwEn+6HPPmki2k+h/xsTaasFD9Ys9PA4ja6gPrJG5CPs/84/uVzW6Jde7Ja4Bj5+J2O0zAa9I4tu3zfw2/mF281sSfVT2U5Sf4BCUB/ynv97Fr3kzQnmp+A30z9VJ9uji9391MHziUJUUJfYCEd0v6n5K5fAv1/zsvvshB7Okb2NAs7/9uDLqy7oRod+ZBwchHtK/1lR8XPo7F+6NmSBc418jGh2Q+cQPu7CTIH78pb0P87u6H2Gfo9dwGlKKp3ZPEnxU6Xc/w6c0sf/pcgL/U5G1ncZKtTbl62njbzRzU+UTceBL6S9HprzQb++za33NzjtI2bHRD90T/XO3JNDFEKV/fac4iX06HUjZ2vAb9OdDv/kjx70OotF8DPMG9XntgYFkNe56d4V8A3nap8JBZHyS0adaxSc/ugxi8Zg0j74CPnofIH6GbOFzuEKOrXz2cs88OJzooVrQ9G5Y9kWWYcpRMxmB6uCMHTN1W2b3MA/t33eqH8NXfbMjHAHeHlt7PvZ6+jNzKE8e0fgHirqFxt3k7R+lU+/7oDzyceYyUeiG+gtVc2DP5fqF/kYRVqn/7DLiVEKsVHTcO5yNPqRrYmMz8DFixdaBG6jH77EF7F5DOb/gqbMl7Ho5RSnRX/waM+XoXZx6LEJUYaD4LPKo07MCehrv4fdUR2HOq8tZZKfSMpfGdMXqeCbWu5rHEtC13680k3zFfKRdpfC7D30HYUh3Tbg53cMysQlo08FD9e8BG8MfrxH/gHp3D3FbotMUIhetfv7PqaS8rr90LFQ8LScTJWANFLejRnNj4AH/Gw6LJhBep5eI1xrkkJIW9FbNWSiB3jz02aD9+809bXPRh+//tmO8RuFYEmsjlubiy4YGVdqD15A3VdRkIcu0yY//RqcW+sFRT8f/ei9No7tUxRikdGc9VcBeutBM/5r4H52NCoJheh7NnzcMA7OkfbUS7GY9LsnTX9pT8Nc+te96NMT9HOOrTXZ4AFP5WaCnpLmxsiDnozf4b7PRi8nUoa+lbtivT04j1538Oty9C/60kmvwE8V5HY4VaK/uVXAKvaDQvzyCRRjq0J3FJRxDAXfNG0cVFyNfsHkReEwuJvRdopxDfr7S+ZU9RmYfyYXDv6uJdW3Ydq/aeDbluoe3asj9XFK1SrNLORj01U+1Zfog8/Dp63AP8WrRHxuIOXLO4fXteAK+VN0Ya/Q62ytb2z9SSFqj0YHSTShL7R5yl0Gb2kQoW1tRh+2TGv7CM5nknvt/Bv0lLPfjyn+ohCdWlu4uFrRz8ieqkoE9x+6lFHehh6/ZZpjAZzG9ZXCyXZSf3fL0DeZoxBFexY7VzpI81tgyMUScGVfbs+0TvRvyTei1s/DvfL6Rh6tbvTnW2oj3MAzCv/Wfu1B33VU6EIreO/el66RH0j7fLVMe8cChYi1chbY048uzxlAfx3cP2i2t+sjae7SvfRoFDxh0PSO7yd0/oAiJY3fMP+/ijfZQiHlL41AxUNwnytFm19QSfPt9rf8q+ByNmmjZz6T5m2NcleLPxRiR6FTGeMw+r3cL9mV4JrljDcfjaDrPzJ6u3GRQgy99rE9Noa+M5n5oyf4892VB3+Ok+aB94xd7eCLCi2iCRPo11L1y3f9hflEPnfdgW+k+mA2evUGOKOv8eLgFHqE0RulMXBm3ZbJkO+kuW6IhqK+RCHeLDJ9FpshzecnIpxTwS0/sX1qmUUfZXX9vAQuq9Y/cO4XqQ4bZambLVMIYR/HIc559PZgxVul4Gfan02ULaBrfdvRuH6FQkSmvP1t/ocU/+P+I67gaXuTWVYXSfXnjdSPZvB/Q5LC6UvoNRNaI6KrFMJxyVNVewVd735DQzA4fY+31eQqKW73PYr6BG5WvyfsFk3n/51z3fJBhX8QD9zpRXvp0A18q4fugCsLN1N66dGft046/QB/TaRt8F+DXnImclCPhkowvtx5WIAJvSw6XSkb/Nyq3fUGZnSPR9KhtLRUolPv2BsHFvTitXIVp8DdVr6sX7cO3Z6hsrsCnOoqfKqYDT1vtuLTBjoqITTDUmDCQVqPhEL7OfA4yj2axfXoQzRKBc3gf6I7zFM2oD97/9JLhJ5K+J56VHGQG536871YIHhcsvjmsY3oos+dX/aBy+VphNzkRfcKiz4ky0AlCgb+TUltQv+crV4dBZ4SZW7ZtRk9xy+c9ys4/yb9Tl9+9G3GlqfV11CJpD7KYf5t6M23WqKTwUfEmd7UCaAfCm3LXwDfZ/X6iJ0QukOkS4kBI5UQGNzcvVYEnY0mO+MR+L1lOutCUfSjCkFBDExUgmFzwIyROPrxW4tap8G5Yq+F/d6OHmDB+7sCfLxeUCBZEl1t8WMsJzOVoGHSqVHbia5Ur73JBVzxxR+r0V3oUmyWNxvBB3T3Md2UQl+RExzbupZKhNH9KZHaQzrfu7G7fMFVD6vbdsmge0eWW3aAu1zh5POTRY93vXVRkoVK9DKdfc+/Hz3sDn/wFfAsJYXoejn0fgtbjwFwx8BIQ3sF0j4L2h3dxwpxLmPFx3oAvUhJlDsK/F1p4XCREjrL2oxXo+AeLhefmqigXxoetlFdRyWWymuuLaqia4hPfE0ApyxetH6ght62q+zkD/AfCQUqGuroaUZ6FTpsVOL0rLHAVw10l1+PVlPB613d1kRpoS859+/5A8567u8PGR3S727sO2rATiUSji9QenVJ534szzQXnPeWdae/Hrqrp74uDQeVyPaTfyN4hJQvg61iZuA1/hdfvzqKvmta5HsRuOKKaJOzPvrM8vE0pvVU4pitQiuHIfq0kyNhBZ7MXdJTaoTOdPtkczm4oF/MsLkJ+sF2aWV2Tiqxf/79/KopelPI5D078Lu/LqzLPEFa55qokefgTgO+2w+Zo/+t3LSJewOVkNjYr/39JHrGn1gFF/CStYnOd06hRwovqb8EPyRcHKtwGv16nInCJi4qEdks/GLQCv1mQRqfO/hl++kfV2xIdax5ZPg1uL89u5iELakO6Aje28pNJQ7Lhp5uO4uuHn5c6QI4u8LRZE979LiRG01vwLWGHCi8jqT4rHuuKrSRSnQndorWOKEbX5x96Au++ibi/BkXdJtzO763gduP3a5lOoc+sOQkLspDJdhODHM+dkMfu1py6BK42c1AJyN39JazjGYd/z3/3ebVbw/0iRUHQ3Fe2LeZCLEUL/T2wv79l8Hj/v29oe5NqrcfLNd0gnfdfPxz3Ae9vHfhxXY+KqFJm24V5Yd+ni3HLgA8prO3Y+8l9NMD7gud4GVuetp9/uhPHh73lNhEJfi0l14EBKBX1pzsDwC/3DKuIhKEPhobtLMLfI0ze11zMCnegpscJTZTCZmkc9puV9B5vu67HQA+2kz/nisU/aHkm8xOcBuXdqtnYehW2Tcytm+hEjq/3v08fY3UB194R10Gj++iuclwA32qJ+bMe/CiIFuxRzdJ9erwoLA4P5Uwdplv1I9E/xls+e4SeApLmeN8FHpoH5ddOzhH58P196PRnz6lGxfZSiXC5Sqeq90m7eeFXSZ+4CqPF1zHYkn17fKdglbw7nxLocg4dDGpAzOC2+C8cif7ZRLQ734TFvAG/8qXnPAhEV2G10CxBfzyBfcTAUnojlyNqlsFqATPXnt+kfvog+oh0h7gMi3+o83J6HrMN1lfgWc+KSpxe4Ae8Xqok0+QSmTY0oRyPySdy9C1MFfw1ydczavSSP4sRKQOnJbp517rDPQ3pR0FXEJQDyej1zNmkfrjfl8hB3CHy5o/87PRZVN9Q6rAT8ix9xnmkuqDaXcrmzDESey3+t956MrPo+ltwD+tGyhKyUffLl8gVgp+XmAgTeMxuu6OXbJMIlRCTHsycaKQFM+LnLtOgk8tM8ZGF6OXrrVe/xictU46Zn8J6Vxq+Yb+ge9cZxs78JRUBy6r3jcSpRJGp1PvhpShb8rrOpgFPio7nL69gjRv5H7s+g2ezbL7SVsl+i2KqaGeGJWotPZv8Koi9esnOlXJ4PdKW/s3PUdXDC9h/wG+M0xg7kUNKT7r7x47KE4l8gw9N9i/QD/RsnzxDvjjpIZ96+rRk+k+x4yCywxyWpS8ROft0rkjv51KRCRbhJk1ovs/lA25Ae5tlvp09RV6Ukf2yQHw5dsDo5lNpDxtyRDYLQF95w07/+EWUt7N7OoIBOcOlT8++4bUTx9runaAp6uZxCW2oovYTf8SkqQSb67Y9qq8Qw8PlHTwAvdts+UfaUcXsl561Qj+M8PY/uZ79BR3u/U8O6jE0A2Z0j1d6K94nLUdwNXpl9d86Ea/+ozVsRLcP+6JRUAv6dxfHPFeuxPq9kuDMpE+9PkYabeT4M2cfRve9JPqXly5UT74BWbtC+4DpLllz4jwMrjorqR+nkH0je+qKEd2UQkW+g71Ggr6hm7l8BTwF1wTRbZDpPN95LrpO/ju0S+CLF/Q6yqP3FXdDfG2Wh1fPEzKCwcqXTR417gn+4lR0lyxbbs5FfyFBGPEyhgpT7XE70tLwVx36AJr5ldSHdOiNgeBN3RVR+tNoh8ON/nSDv5Cf4B39hv6AY/r4wLSVOKgzvuMxGn0VLeAvvPggprJsqo/SHV7fH/ZC/B7HQeaRmZIfVCzNIBjD5VQ880/HfETff/3vzJW4GsaphZl5tCzj63rLAQ/QKzc7ZtHr3o3abkKfs13QCnoN3r3h7s9R2Ugnn+HfRFbRL/QxaeYAv73yFJk6190+Z3nrk+Ba9EfUPJaRv+oe7dBaS+V+JejNr1pFX1fQvLkTfD0ZraMun/oKgGXV/rBWX6lnnKg7cJzcTywLCFLJVzL5jex06O/qusb8wU3f8A2UMqA3jhrXvMa/JXyWKoFI7q7XV3Qxn1UYlEg0JGOGd04nF3qLPiDD1378taic7/Qbi4Br/o1ymDAiu5zyeUY7X4qUczwtG9hHbq5SFCdPviB+4rFKezoNaKh2x6A++r6RWiuJ/nEZccp8E8p55y/caJHD7o8OCBHJZR38x2N5UK/7mJcdx285bqPrOJG9K3/9r/rBWfTuLZ1iAe9n56nWVSeSsx812W9xofuOjr/2BO8QqBqefdm9GSOvqA6cDqn/tnuLegG32tV2BUg/k9nTfpvRb8xXTBuAe4Vzz8uLIBudzEzIA88O01lvEUQXWg1598CuB8f0zd3YXSer8/OaSpSCdNo35+8ouhlGZ+aboOvSY5aqRVDj0vZwE4FL+zWWWe/Hd1S/bTargOwzvbMbWyS6AOr9acvgmuIZuwr3YE+R6g5vQZXdzp4zGIXer7ngBWXEpU4IxfoQieFLsiQoG4NHi1iFpknTTovG0/Ox+C8LW3FBjLoR/94ti6C338x2Pd7L3rH/nte2spUQvhhOEPqPvSca5OMd8CZGJpkteXQAyzsw6ngdGEp9tPy6PwC63/uVKESO2qYU+IU0e3VJg/5gU9pM31QUiLtz+7fUY3g3DWJ3MPKpPgxUaxdrwpxVVVpelMV/aPw04+nwCMHHO/JqKFPMTkM54IrVGd/6TuIXudxom8OnHnBXSpYA/3Lu/BnagSVuCXxOmC7FvrfqN/hkeAVPzI73mmjN28tUOsDf/eVdbuPLvqu6ewxETUq4fNkMXirHulcXCb9zoM/GXelNB5Gr2C8+LsKvFfyLOF6FF1U2vQM40G4V/JQMrj00UuMQ54ZgnMd7WetNkBvGf63nAye6Wrie8YI/fuxrl1fwTdtPDa21gS9mmFVV1Yd4mSs0eyJKfr0hSuGgeBXQiremZ1AN+Ow1W4Bbw4X1aUxJ71fI307twaViE1keZVzEr38ivr8aXAXU0ct/VOk81LSLsoDlz+j3LJgiZ5ELTKdA1e0DjN4YIVuSAn5qqoJ9fbnwQEtG3T/3FqHG+APqtydps+gZxU6dnWB61quX4o7i37F5srObVqQjwECMcr26L0y7O6O4B9eJEuMOKCHxrCnlYALNYc3RjihR34Pq10G11D6ZCvrQqr/NT7N2tpUwqD2PuOAK7r4ueHaGPDKhYaCK27oiu7v0j6Cq940Pr7DnZRf8gc8RHUgvwQO0Xd6kOrAPsndbuBRFhlPL3qR6nN/Sk8FeMaYtYOQN8kT7znT6sJc5BC8rcUHvWFIaEoPPCWMpt/dD/2FuNzJOPDpr9QEvkuk+BzoLx0Ez1bcalbnj/7Wg2NZ/BDcBwUr+B0D0JUs+qXdwVm1C0Y4gtBPsRwweAb+03ipqCIY/cGsrCWdHuzPr/RAqyukfb7acvwwuFl7mgFTKHrr3hXlOHCp2wtiRWGkOuP5nmMQfGw4dfX4NXTTUt12scNQHzyTP65eR3d2tfN3Aw/9Ovks+ya6I9sO7grwm7M3ko9FovuxJCX9Ay9V9LuyEIXe11vKqnsE5sZzpS4PotFHR4OcY8BjFFXMtG+jb8hfLusD332YU/d7LCmPknZ/FzxKJRr1pZUS4tCFxTdyOYHvnI+XUU1Ad2soE30CHjOhsXMsEb1wlFNkEdxvQF7iVhJpnTS72A8eoxJNF90l5O6T6tt1xrHr4CVeUzspyaRz/JnxqAP8nd+jveEP0CnFjKf49KkEvWKestRDdFVFmb9W4Alnxw/1ppH6yD+xsBxw8QLbk4EZpD57cXz5O3h2Hb+beBZpnZv8bOQMqISdMWfYu2xSPTn+sSQAnIVHLdUnFz0+c/1sI3hcVc7zbY9I/cVvK/86Qypx+pf24Ot8dHkd+n3G4Dxe/LTnH6NLhTcq3ANvnhKX4C0izTOPbHd8Bu/msjN6UYyeIjnMLGFEJebv9wQ5lKAP+ml1u4EfVPQt5igl7QNbVGQZuOBD3ZGKMlLcnn4uswx+Ikx3i3UF+kVqT4O6MezzA29T5mekvGb6pH4DPCH1XWxxFXr3kfeF7eCfCaMus+foL0UrmXhMoJ7s/8dDW4v+aM2do6fAr+zvtsx7gV5rdzY4HXzXn/Ycw3rS/Fkt9fAruMy+2bnFl+htl+cKpEyhH6XJaaU3kuJQsDL7Anj5woO7eq/Rb2+9HFUFfmha4sfPJvTtk+o2NMepxCmVLt37LejKK+zC2uDdqclZGm/Ri9u+tEeA/2i7umaqlVTnO+uc34OrhVxzjHtH2ocr+T95TkD+emW/U+5ATzXNcjgFHmNFlR99j27xsrglDfz8vz2ZUV2keqLWwTcOrs1+j0uuB/2fNqPpLjMqYaWzKZzSiz5x1DTQA/yU/eOl8D700tYXceXgB7abXpD+iC6gpHt3CVxXm2PmwwA6LefsdTVzKrEn+KNb8CC65uvn9mHgc7fLZiSo6LOdj2XegE8opHq/HyLlXdHrCfaTVKJ+b8LKxS/oLF1ro43Bg1WSrguPoC+WXxS6Cx7Om8PzdhTdpIsv7RP4taDaHK9x0tz7cIJNyALmqH0UJf4J0nye+N3BDnxlnqGrcRJ9354dRXngsVdlzp2bIn3vyIPhafCTKWdYeL6T3r9Tf83eU7B++sRHtT9IdSlIhdsHPNS37ajDLPo3c9f1VeCVzxjmOH6hf9pLWVwBb41QSqmcI53X1fiOg5ZU4mqR+yGbBXTb13FxYeDzY+l/1v4hnaMXRasF/O5cx6OSRfSTa7xH1p2GOn9/0cpiCX1y7qS7AXhfyhY+hhV0ruexE3fA19Xt7ypYRb/fvc3gA3jCK+3bpjTd/3erStrMzVZUIt7zqNEqLbrBZ5VRS/DQCF2eHHp0/5YerjRw2R65Qf016DTf3kqPgDdw8+b8YUTfXCesuN2aSpRxfPVKY0bnafgk7QzeF5GroceCbum2zPUY3ET/BM8vVvRzyqGjP8BzBX99u8+G3pfjk7nXhkrkv77UqMmBfmRnr4E3eDjzdOr0evSIg1mTFeCVj3UDEzaQ3m835vEXnD8w0orgRh/mTB5TPkMlBg9WaHzdiP6rvlk3CDygvmnHbV705zNud+vB+1495z6wCd190+0eelsqwccXTzu8Gd28QoZGG7wpRH82gh99QMuY7zr489bJ4X3b0F3U/mx9Ay7ZYNc/KICeJCzCue4s9C/pF+/DhdCZHXtnj4L3fppvlRZB947krosGF01gftsnil7EOuT/Hpxh+8LbEHH0NBslMS47KqFvUdO+QwJdm0XyuQm46r9TvV2S6KUh+WoJ4IbULurlnegbNV+VfAB3bhacEtuNnt/mt2GTPdT5a+pL76TQ395rtjoJ3jApz+a3B31ke8W9++DOL/4JCe1Fvzir3fAJnNJ1V/GNLLrwhUv9Wx0gfhZoTbz2o0fvMhk8Df5wQdGDXx79WmLvu1Tw1XTi9isFUjzIMBQOgWu+5Sx1O4Ae50e9JOQI+0MU9fMqo2d+dd5/BtyonYeuXgV917/cwXTw9sM6u50J9DOKyV7D4FlhhAXXQVLccuv8FnGCe/Gx1Yjn6ugs7AWOZ8Gdfa68sNNEP5bR1pQJXtbxZp5dm7RvhoXco+Dc0r1SlTqkuEo00BdzphKMZzOcbQ6hx8+W+9qBO6jL5LEcRpeiDEdlgVunBE4+PULK64H+26Pgnro3pSyPoavb378q5kIlvHmNvRkN0GtXdtjagUdRPtQWGaLnCkTsyQJX8+RlNTdGV9Cr/TYCbpaz/iSdKXr50us4UVcqQWv8Mj//OHpYSc7Os+DlejtpTM3QN02fKc4A1zqrd2LVHH1Vckl4GLzHe9uTHAv0znHPq8LnqMRH02w2Q0v0w1mt723ARQeGXP+eRt/3mYU9Dbz9U+u7DGvSPm/eozAEbrLXSfboGdK5tKsaCLjBvP209N6CLSkvghWPnwa3UChkeGiH/ilfWC8F3DHJxOOQA+n5juWdn8CdirKHfjqS6rzbm6XN56mEh3GGUbIzuinDrWfm4LOnDzVpuaLTb9CzuwuenZ+o+uMc+hQP7b9e8CyuqMq759ELYsvCN7pDnHtI7Ff3QJ9ncF42BndJdSz95ol+c1rQOhZ81e+IXPwFdM3WT086wM/1d1ap+qBzCz2cZfegEq7Jfw9+9UVfcjkncBSc8cHLt7cvonPu1lGKAE+okjRT8ke/MiKt1QLe9k5qfOQyetSGHSpMnlSiuKLD71YgaZ3yCiJa4DFG7GwKweifu079vgK+LWAs43MIOofjvWd14EYbzVQirqJnXfjltAoeuGjTvy8M/eglZ2ZlL4hDZno/Sjh63SJt/EXwFMEDm65fJ9VDr+ccFeCdQow1MjfRTZyS/ebAA77Z2Q5EoBtaZLbLXIC5yNJsXVgU+rs3vdznwQ3MPlVIRaNPKsjpFoAffT5j1xdD6kfir5wmwD2c43iuxKKPbQy/KO5NJf5ovG7ZGYduf83f1xbcfUdYUE88evtyju1D8Mp/7fJBiegZv9lUB8HXZGf9lEhC910sYtzsQyUG/jEUd94jnfvVmJrj4NwzU+cvJ5PWz1dy5g54v/mpveIPSPl+gHehHTxP0Oh3eyqpLzu99F3nSyVMJdpqL6aR3iNRPq4LvmTSel0kAz3275xWGDh3xDHTtkz0W9YhsfXg9kVGor7Z6BsGLdtWwNfmfJgXzEV3+Bm5oOgHeXriU8ubPNLvCnOy+4BrZls9vJCPvm52iqsEPP+i9cVtj0nnSxVm/g6+UjFo0lxImt/cyyYlL0Je6/Tu9Swm9WXxnGo78Kj1h7j4S9CVw/5eSgOXWNy38OopeiV7icQguMvE3YHzZejrtTsa+S5BHWvxathUga5YeELfBHxPSOPjhkr0g2/0mqPBHyzeuHeuCl1ra4H0W/CYLQ03eJ+j++0IDGP0h/tLh5t/fQ36Nu+GloPgp2gjz7u8QL8dHLh8Gbz07ib7jfXoKh1PtlaChwbzWL14iZ46brX7F7hZRshJp0b0Q3oRO6UuUwm2KXMzrtfoFH85PifwVq0HZjVNpLiiOfsrA5w7+aiFQwspf0/y1FDASz/aW3O+RS/jMPDeFAB9YfqrQ3Ur+mg6F78JeHd9p4fdO/Tjd22f3AK/oSESyNGBvuWC+v4WcBrr/shn70l1vqokhz4Q5hmGuRTbLvRTP8qZVcG3Cng+YetBt040NPMDD00xaqroRW+VC0soAd/hFke16SPNb0YmDVPgVUFyf1k/otefq6eIB1EJqXp53vIBUh1gb/9qHfRfvUqUsx5Ef1oZ9PkeuOZtYzMWKmn+me1p7g76777scrl0CF1HpfsBezCVuHOKmn76C7qaUICtLrhKUsFb5hHS88JdPFfAj2V3LpSMotu86qusBl+4YCBqOU6aN6JjDs2DVyyImjBNkOKBcaVZKgTu41v1w59MkvpIoaC8IzjXQFuVxRSpjrGt3kkD1xR+OLvmO6kf5SVSP4KXjTbuKP6Brso4s4n7yn9/J1KyPzlLytNHazWOgv98TJvJ8AudlX/8ZDj4hyTekcI59BnqTZsX4Ds6/MXNF9AFLv8+/gec0NrtQv8H3dlHWknmKpWont5R8ngRvdhkP7szeFyt19KJJVKdT2btSAdnecyoQ7dC+q6e0uAB8IrCL3EFq6R9uyoryB1KJS4/Yxw9TtPzf3+2+2bhEfDoBg95Wjr0uyerd4aB+zQIR+bTo8vFtCTWgNMV8w2brkH/aVLxcx7cPNhImYYJXUn6mrJUGJWY2dme+IgZPS5Lydse/NqjqHkTFvRo1Q/JD8Dl5yJN/7Gi9wafetoLbknbWpHHhi7wq62SPZxKFL05xG/CgS7FL/VYG1zq0Jqrq+vRh68ExQSC7/ZZ+Za7AV2isPFMOfjhwzInjLnRl0VpRL+DX3qZ2riyEd3ZbV+32DUq8bdHZ18uL3o851kvy2v/7YNEttEm9ML427Tx4D7P1TavbEb/E/IisBU8OCw6JocfvcVyZpL+OpX41cu11mgbemixuLYS+L2C1qvLAugZtHYxnuB36J7R5AihF/Q9bskD1+r5EGQoQjqXGvqfQ+CuQhK0y6Lov+Wc1vLdoBLsI7mh2eLoqW1DHPrg4ZvNWQwl0FeZz60JB/d+KR+7JIk+575+8jl4d78Gf/ZO9HNRbTW/wMdPX8412I3uNpYdvOMm1A2DIbklKXQGhtS9NuDPC9yasvagG7lVdiWCR3uJnzTYix75eN72HbhiJuOPv7Lo84fMhxkioK6qsodn7SfFw9tRQyXwW+rKAgby6M+rU4o8wF8UR1f9VSB9V9rV5RzwzhtMZlkH0HmY7ilQIv6bY9N/6yujV3gN23JHwjwcYp30VwU9xP1MoB64YDqhkkWQ4jZ80/VgcPZ9xLD+QfRwFdaQcvD1iqcj/qqjOwgccJoCf/r0/v4sTfSq0lw14Sgq0Zu98FlfGz0g3JzJDDx9o1vMXx3S81v1a6LA79DTHsw6hB5DH3mmAdz5QuEv/cPou+o3/P4Dru7qnfv3CHobdfSS1C3Ilx8mVlnH0Ou/Mn23BW+gO8JnYIBuZ+dvkAS+Nd+8668h+g6qevo78K7pyzFZxqT6QLUepo+mEkEdpfoGpugiMx+4FMFZzGk4l46j37j3SNYNPCfqdHeWGSkOHQfUM8AHLrxLMjhJqkvDrgf7wP026tssWaC3xttIs8XA/cWHuiPbkpS/zM/XqYPnpgYuGFihMzYF9vuA297d2bhkjb5kXhCfD97mOHon+wz6yGGdg0Pgypvy7QzPoo+JG33ivk0l9Ev8FZft0GW82+0PgS8oH+fIcSDlS339UAC460vFcUMn9NK4nXol4ApHxOqXndEfXuLIGAPfO8KbkuOKrrhy/tvmWLgfxa33N3JDp83RF9EHv+7AbrFyHv063RO9q+CcjutVcj1IeX0vwaYCXDBto5CxF/rZRTrHb+Bs27YyrV4gnfujP5YCd+B3J8V+5PqQ4lD+koYx+OkN0v3Gfug+u27yXQOfSZN/tXoRvZlr52AVeHWW6tM8f/Sbfla3v4Mn7NDIMAlAfzUquV84Du7XKprx/wLR741FNpuCm02p3XgUjL6fMeLwDXBXTYUg0yvo3e3itc/Bx40lfWlC0RvfnRGcAReR5PLID0O3vnXQUySeStR0zrkev4bOfe/V0+PgOVZtzrQ30M0DZkdugPNT7zsX3ESvbmhaUwP+0NrK9UQkaT1/9HhmwJnmeNzpbqHr5QbwiCTA/TGv3vtxNPoHyzOMx8H1bp8OMLuNfjBrafT6f/58Kpz+DroNy5Gy6v/eo+QSWxiHvmXT8QvfwbkE+1PNE9BtLflFhBKpRIv//iKGu+hqtmn1xuD+1kF1RUnoDeXj+uHgp4fKuk7eR2cfmW2rBJ9h6/u6JgXd2Pel0jfwpaWRf8UP0LuWLZK23qUSSTUDfKceog/Q1I/pg0vaV8sypZPynWNO5Aq4xdqrBiUZ6Jzlvw1KwXdUy5y3zEKXDH53bgz8Y/TraOYc9OS/ly7xJVGJ5ftqJU9z0ZlK/vnogbvMPeg9/Qh9vayV7WVww8Kh5bUF6OdZkolCcCEqg1jZY/SpxkrWIfCkZBZ96yJ0ix8VTZz3qMTL5ZlLrE/QH/Ake2mA/9xYkVtegp7f5MDhDf521aLPphQ9KHrr/WxwuXeUtWzl6NJLL3j6wF3uq6pUVpDmtETDK2vvU4nJgEuets9IdeZn9+AB8KtRt/PYq9Hf3j0i6Qp++MuVL8+ek57nrT6bAp4dd3SrXS2637JwzDvwgzUz5uvrSHNsd3j+P3Bub5e71fXoH3dPlO9JphJnep732TegW8YfKbEBr/k9vHnDK9L67z5NiQX/M089XfOaNCe8ErzYAK40WZTp2Iwu/yhBcy75v/9zM5rieoMe0cVLI5YC/Wtb8/4Xb0lzYHt2vin4WBx7iHMbuu8ubZ1wcG9XsXcb29Hf+/7pLAfnr2fdWt+BXkTUHRsHryqsO+faic634WEV7wOon4YadbzdpHwMuMejC055Fcvd0INOYS854weeLFHo7PaBVCdNJx7kgjckxL3c1I9+hqr+tg88b7cW/6uP6I8O1I8zp8I+sLzwdf+EXjdvP6cAHnSEtmcLhRT/qXKzjuCR61n3NVHRFxr3Uu6CJ3oPxHl+JuXFgmV1M7jtPY/fW4fRR+uqrv8BZ37QatEygs5Velhb4iGV+JT6rf7CGLrWaa65E+ARL9okBb+SzvEYd+w18FV+zztvJ9BLNhgKVoB79X1Y9flGmisOtD4YA3fasOoiPE2KW5PrbDxpVKLk2/DHtu/okz+uuWqBW4ddP3xxhtQH77dVXwDvovlWI/oTfdOYxVIGeFkQy96OX+jiVvt3doEviozl+M+jP4k/dZguHeoPR4DA9t/oM3zdFjLgFLt3dzv/oIv5PThlDd6j288V+Bc9Xb32aPR/PpAcI7lMqsNMctK14GrqfBw9K6R5+Dgz7TR4fapedPA/9Mcv5Bu2ZEC/4JPl3EXb+3+/8P61tx745o6OuA906ENbKvkugpd9E958lQE9Soq9IAf8W7REmhQj+q6kt9K94J2fhyQ/MqH7ffuZwZAJ8xXj4dKwtehKZeHMsuChovZqMqzoeuE3LG3AJ61l3n1ahx7+fSU9GlzxS77ldXb00YCxvhrwhXfd32XXo1s3av37Bj59ND+Eyom+xmgbz+YsKrEvXIonggt9stxzqy64RKplgdxG9H1XtTb6gLvXyWt+4UHn1UlayQBf4nw+GMWH3hHr3vsefLV6wk9xM3rhQlvqP/DlsRcbR7egs9CXmu/OhrpRrVIasxVdV1eMwQL8iO0ZE2UB9E/HRVOvgzMz7V4YF0TXefF0Rzl4TEdy0h1h0jo39GYPg7dNFKsSoujD1CguzhwqMXvZcXRSDP34s0F3VfALpS+jErajC0g317qA81XXyqtLotN26q/cBR+rthie3oH+Zq/vrtfge7/cjUnahW70Re3IL/BYc29CSwr9ikfRKcFciKujMz9mpEnx4PHK8ii4zTfm9GQZ9ALPMP1L4E6na011ZdHLGH/K5IA/6+JgnduHHljLtqYb3NRvuT5VDn33zoFmmjwqEXLx6qXDCui/Bk8F7AZvZ8jc91sRndMxXvgk+EZdy5l0JfSuk9cqw8E9PAofH1NBj9bZTzwF1ytKcP2riv7oRVo5Ffzono27s9XQE0zat617RCXOi0j+MFRH70ys81UAn654X7KiQTrHzX71Z8H1trL75Wmh25z/sxQDbnB1UNVUB31WXHN7DfiGzQQT7SF0ostSYwL8K+fe9wV66MyMugYb8+G77pclmx0h7YPhmmMHwRPHm50YjqHv0b6rfA78+nYXhWJ9dC1fev4k8MrI+8ynDNEP+ByaagQf1jX/yGSMvrbH9fEMOOutjMdPTdDLxdyt+AuoxOVbF69YHUfX/2tKpwv++vJHM1Yz9LkRwQQv8LqIV3sqzNHbfLs2p4Jf/67IYmuBzq7lHvMGPKRPbpTdEn2RsrgwD24eUF1fdRq9/4PnMaHHVIKGsynV3hqd6eVgwhHw4iazoA1n0L9Kq3T4go/2nLeutUWffnrnbzq4ozurhrMdeuzQ8MZ34OqtO7bzOJDqm+4e4UXwxm1t6146on8L8BcQLaQSN1Jmf51zJsUnVzObPrhrYOKnTa7oDcl80xfB7/yuef3qHKkv5J+vyfzveeJsicd59LzO9sB28IzIG6lbPdBls5Rk/oLL8Oy+1eKJPlFW1i1aRCWMuI4Fel8g5WmimpM+eET1t/NCPqQ6P0j5fhE8TXuNbZsvuuXmO3aZ4DlTSScuXkRX/2zV9g58ZjT3qJg/qW680hFfBOdykdF6fxk90fyou0gxlfhVulc1IBDdRMYr/yh42XK+gmQweiW1+oMveKN/8r6eEFJe/JGcTwPvdKHfG3IV/TZbHX0reDfj0J7dYehFT4PpF8AZr8nI9IejvwpwmxN4Av1O/PfesOvo2v8ieg+BawvtkZO5SXrP24E8L/DtTwYODEagh/lYu6WAUzgX1W5EoZ+6wy/aBE4XdE13fzR6T9mGtzPgbvvCDT/HkOqPh5bt5hIqoek2ZxEVi256smJKA3zC8b2DYhypLtG7OJwDZ7Xh9x6NR/9Ia9uVAH73TvfV24mk8/qatqcOvEll8Y5KEvqU3o6gCXCOlBtZE/fQG2tWazc8pRKyP0Ir45NJ3i00owS+33Oy9eADUh6JJGywA7c+++zLdCr6MeK0+C1wgmF2MSmN1L+qL++sAM+KidmgnYEuuXNOaAg8Xzdx189M9HmRprVrS2HedmHQfZCN/lDxzxcZcA3FD2f1ctHP09x8fBLccpb96kIe+tN1QU5XwQW6H6Wn55Pi4Wc/TwH4b6FHDcceo7PqpJR1gydsWTf2txD9T8pbrRXwBdqOtTnFpDkn0qFJrIxK6PPMSxmXoD/P8jpwDFzw3iXTf09J/Sjo5wMfcOl2q4D8MnS3wrG5B+BBvzOyT1SgP35tpNwEbmWq/Z7+GfoWS0XvH+CWO7VXiqrQPRhTUnnLqcSx5+k7Tj1H9zkRXE2AHzpsYc5ci/5vZLTZATx3y/kbpS/QxzQ6mqLB13kMVlnXk/rRWvXKCnDz6KzpdQ2kOtaico8KXlr1WuhZI6k+b359jqmCStyUVzth95qUF9GDe6XBr+tx3uJsJsXVi/CJ4+BpCoqva1rQnYjG24HgrDoV/5zekr434+7ObHDV6psHeNrQ5UIYK9rA/3ws8Xn5Dn3m3Pp98+BKU1Klbh2k+rlamc5fSSV09q/+3NyJ7tpCR68JnrMsINvUhd53ZsbEBVzkxp0LXj3okdahd2PB3wiZVQh8QF86Ud/2DHya7dzS2z70B5S8uSFwwfj3an4f0X/fUGNjfgbr/Bd6TfQT+p0f13ilwU/Ehbd3DJLm26wrXMfBu5N7+AKopLxTk6UNADew8bCV/IwudDx5KAO8eId5Uc8XdJGAuidvwPnVI5dDRkj5opd+YRb878zaw1JjpHM00ZTkq4J9Dn5/7+M4uphMXrsq+BrlL9/CJ0h9wbvLwQ7cyFVJVfYbOkflq9kI8OOnPt2mTpH61K0r50rAG483jkV8R1+4tW6gD/xu9k9lhRl0e337A//A2RPt40ZmSedrFxshVg31x0tgOuYX+l3HO+8Og2+7zq+jMo+eNO1C7wnuL2iZPrGAzh+xbcdd8DU3hlbj/6CbfXisXgt+kD37lPpf0lzqyH90BHxluaD6+xIpj3pcD7E8h+fT57bcX0GXfpomvwfc5vDlAJ1/6AZJNbzHwSe1NIZ+0XzAONzaMOEPXkLV1XxIh678ofRxGnibfWTeEQb0FYt42ybwWEm29Ytr0FPVHVinwe/7vPHNYkIvFdqdtaGGSrxMbhgyXIveEz2xRwFc9NtvvVUW9ByR1EJLcOEn9uWP1qF/9DLYdhXcTJVD5AQ7uggvTXAu+OMvMzH069E1M4u72sAPfmehKeZEZyw5u+kXeMCTU+6nuNCJD9sM+WqpBH3A6Gfmjejtjz5fUgF/mZZpUsaDfrehKOEMONU9qdmGD/1WZUTmNfBmpQYV9s3o+YJ+mQXgEiZCpVVb0OdifRPeg8+wPt3psBXdIzvy0gL44TLfTC4BdNWfzwy2vIC8S3fbVieIfpGNbpMaeJt4YpKrMLpetEPXWfD4uJmNm0TRR9mng26AqxKX7rwSQw8Tid9WCK50SXaD53bSes6eKeoE10raErtNEn3B8cTe3+DGMzJcb3eguzT75Gypg3jo8o733YUuu7mBXQ08MXGMT1QKvWJe1fEsOP3tqykd0qT3/Jx6eh28n/uISIAMeltO+2wBuIEf8UhSFt3q8YTQe/Cp9ZZ7e/ehl9xT0ZwHt92XWX1FDv000zuzTfVUolyBW1taAZ0pIsVKBVz4QsH7AUV0w5pCMxvw7Squp68roc/vZ9AMAw+ZNJrap4JeEPlQKA98b5eV/2dVdBXz8NlWcL9jsay31NB9ZSufzoB3PZ1IPqCOLvVUwZH7JdQNCzvpcQ10LXcWDgVw9mSGhjta6Fl0e3ItwHe3vz6hpkOKc7oC2SDwsSP501O66BxMIU/SwRfOPQlN0kPfnPdE6DW4TUQfv/YRdKdgtdAJcPtVgfKfR9F5xPb0r2uAe43gNYNUfdL3Sl8V3POfH2abOmyIziCvfNIY3K7/yfU/RugPui3DfcCtRS+IZ5mgqz+czEwCXww3fmV4HH3v3tGy5+AzFvp2qyfQK4UNnlHBtVbtGfPN0bezSBXRNVIJ+Zak3BMW6J+CQxLFwLX4xg8zWKIrCBz11AWX1jk2U3wa/VHAHcIFfObJu3hLa1Id23fiXxT4/5i672iq//8B4CUrM2VFSUgZkZVRNoVQSKGyKZERyY5EKqsQWUlFSIREiYxEWYkk4yJFRIps+T3f33N+n+f738e5531f47muc+71tuT0fgZb9Ce9yU8Liec85h4utSPdI4vNsY/gIzMDkXYO6Ms2jyf+go+OV+3dcBr9tPuli9xv4HPfZMlgxRl08fbeaSXwCfOqKKez6H+2vbU9Bb4zsl+J04X0nD9qdZfAWb+y/ag5h64zpM+dCd5bYZbk5oZ+PGLCsg6cxqdIZ4sHKe8CdyR9B1fz5FtsOI++x2Kulr4e5lLm1McXvEjn9txhSBR8/qGotYA36XwkPKf1wblSG9lbL6LvMhOYcwW/ddjnnb8vOnPzhYlY8KP8e0N2+aNbCLt/KgKPdqVS7AxAZ1/ZVNQBnp/c+zskiLTfMbvgWXBzmro8iWB0pqu26txvKaoBrGWOPSHogS4b/yqCq/GUCUSEotfJeKecAGe6WkuRDUNn9I6VDQS/8rw7bTAc/UaT3et08GvMiyejI9CvtP1ReQ2uMS64dd91dEVetcJBcIbiY/0jN9CXtA3Z1zVQVIPf3syIj0LfPrbNWQg89EaHnXoMOv295yXa4GK2fLsmY9G3UHP/dgRvf+I6kXwLvf6xJn8EOHNnXfHBePTLssoaOeBPFfj9ZxJI9VmW7vg78I/KwZr3EtElDz6wHAev1BlmMryDvpeGy5ypET53Vx7qWkxG96O3PbAb3IuqNDM7Ff3O2FVhQ3A2fwG3o+no+7RvLLiC74yK3b82A31DkWtVDLhC+irDk3voTe9kfQrBGdjdvljcJ8WtyIDgB/CUo/25dA/R1572rPkNLlKvH1CSRYpDvt8mG99RVKVayw1tHqGLjZ74LA1+9pOQAEsuurxV6WET8EaNqNkXeaR6u3XdC0/wK/5/3p/OR698qcUVD844apLJXoDO2xl4uoTwqULf6kJSHVj3NLcD3H2J3ti1iNSvKQMDM+A250+I8ZaQ+j7NBgaO9xRVrVfZNA3P0MeZ1YXlwF9oTQx4PUc/GOctZwqe7SH2ans5+kvJYvkL4NvzbZJbXqC7By6IJ4CHW8f4+FegJ3PqczwDP/u3+PiuSvTzCflTHeB3O1vkO6vQleL5q2bA9zpTuC9Xk+49PzuYvYmi6sf/bVGilpSPftpysuBzVpS+njpSHCYu95qAe8Q3V0fUo3entl70BB/dVZAl10A6T+FqmjjwuxGhkUON6PHNH8OLwJm36XnGvEeP2M2w9AH853GqE/ubSXk94Gj7G3zP3TzNHy2k+An5WbGhmaK63kZ79+029MKcNIY94EPrW7k029FXZwIOHQY/Tauzbuoj+u2VyEuu4AG1Bb9SO9E5LNuyosA1ntD06Xah73iqW/0YfJOs7vvZz6R58uZSy3vwmBrfF/e/oDfcGW0dA494ezv3SC96u/2muvUt0Eee3k1Z6UM3jwrK2wXuMREXlUshnf8T8fCD4Irj54OPD5L6si3/UUdw0c37vai/om/VOskRBq7zffLM02H06cmhxvvg76qvW1p+R09YKfWoAZfgZTVlHCXN2ww9TIPgQrb++mU/SPWwyChlFTyVtlXLYZw0/0dt3crXSlGt9VmvsnGCNAcqqt/aD/5vl6hC1SR62uGqRQvwyat7ZFym0N84Jx/zBT9Pu0Vy8x/0kV2dDxPB73H8FKufRhcSOD/6DPyDcIaI51/SXPHHk68DPCZPfhf/HHqmXN/BP+BZHEU7m+fRdcML7Te0UVS3drHs8ltE77k05SUBLmNrILJzmfScV3d99MHtRM6Jdaygf//y2u0suOPdcxIhq6S+c/6YRQS4uLyhtMTaz5iP2+0UssCH7Vjke6jQGUJ+rK8Dn07K3x9Bjd68+2fLIPiSrpimHC36n5pzV1fBe8bC9YboSN7jLrP1A0U171eVccx69APs8+1KH4jvG3ae2M+Ifp6O1tEMPG32rcMPJvS1Rmk/L4CzDyW432ZBD4587RgHLkitGqC5AT3S9HxHIThje03EFBt65cFnci3gKtX8t9M2oVf8u3F9HNzjoNkDPQ50Gc6Fdvp2uMcvZ4rnONE/iqyyCINXThnVPuBGP9aZoaIJbr1mU4cRD7pvyYCNNThzcN63f7zoNHbVPoHg6d955vO2or8J0A5NBt+WZ81ovg39RppbyHPwL1oB22i3o0vbaHh2gJuKnZMtFkC/Y/fa7De47idpPWsh9EdqP6VYPlJUC141WTMLo+vFN/wTBX9uruTzYie69+LxqoPgrQL+sadF0AVY0zztwe/cjM5hF0M/4prMGwI+zedVWy2Ovr7E+Hka+IKmWL+rBLpFQMOBF+BzvsULvHvQTe3+NX4CD1Ri4myUQmenmVObBjdYlZXxlkF/sVKSx9pBUT2jsdtIUA7d5YcSgzg4ddCMW9tedHP7Gyd1wOPEr8cEKqAXM+Rk2oO/bpgoEFUiuc/t3mDwc818H7r2oafrHWNIAy9/tmX6ijL6sy3jYuXgy8vfOaRV0XVuHFfvBK/lC1SkqKHnSqfr/Qbvvt1/KlKDFIcF1QeZOyFuBxlCFbXQtdLqFETAd/utzfmuja56J2erNjhPf3Vr3EH026qes9bgJdcOzanpoj8XF6oNAO9bSNs2qYfOs1IZmgRemlemk6KPrmJwQKEEPHFLynkdQ/S88oqBVnDWd1ppfw+jf+8XChwH/yb1rCHTCP2yeQgz3SeKKl/7+MxhE3Tu+o6bAuC/d41uXzmKrl69nUEF/GNJzuHcY+iZI2e9zcFdZySDjpuhf+ss+uQFnu3ol09tQdrvrmXRWPCk6xF9T0+gNwXoeuaBJ1DMWaxOoX91TSuo/0T8Dt6EKpMVennKImUQXIhX63y5NTpnhh31CrjP2pMPHW3RG7h7tnB3UVRPcct1b7JHz8i0E5EBVxtoYa52IOXdl1URQ/DG7l2arqfRd58q4nMC/xim4cvrhP7gbSDdFXBvB97ChrPob0vth9PBVxeKRi64oF976/SsHHy6jp5f0BW953aMXwc4i84W8zY3Up2s/izzC1yXZuJWoAdpPd8ODq7/TFFtCfJrFvVEl0+nXBYCXytfR//Zi3Se1zK5VcFDChu1wrxJfUE7LtMcnN/1eoi0D7rfuRJ+L/DRPzRVFF/01Lv0cdHg22r2rUT6o7f63Fp4BK5iJbZfKZCUF7ePHq0FnzXo8B8JQudNMLrfBy6zcW9FfDB6wsbI73PgG/ccWVG/jP4zj5ZvYzd8fhcTUP0Vim75r1ZXHNzkel5IahipPmfXOx0AX982Xqd7lVRPNNmCrMFZLg/Rz0WQ8t0jK9wPPGFHjMGD6+h0zRGh8eAMar9vGUWix8y88HoCznacvvtfFPquMFWLBvCQqY/bHsegK2/ZLDsE7nzL5LT5TXTF43pUy+CcteEFtHHosR876zi+wD2uPzdfHE+qtxKV/pLgQ2M0Gja3Seunpd2pC57x60gkSxL6pbmCeltw23SDrpd30IUzKi0CwAODlgScUkj1M032awJ4KJeFG2caek0Uu3UBuPzvMxW16ehDzDYfGsDvxO1k8MggPeflFvkh8O7wBDO+THSKrN7NJXArk6Ls9/fRabl+Uth7oN+FBM75PETvXaUWlABfTJ49KJyNzhaVaHEQfHLn1jsfH6Fbn8wKtwafeDo1FpyLHsYom+0L7lbjrizxGF1bQbPiFrjA19TYnnx0x+BPb/LAx9K8hiMK0F+GTNXWgQ8HzCnsfUpaz5e40j7wUww7or8WkfJrZ23aLHhf2/LX2BJ0WboQX9ZeqMMngpRUSknzEleb7i5wLtmcm+PPSXPgbBGLOvjo94AfSeXohhriDebgs//m1Q+8JD0/ScX7PHgz3daU6Qp0r9s/uW+AK0eNzmRUojP3KBTeJ5z3xGHD16Q5kFp4fwU4rYpX7lI1aU4oKK3oAP8XIkObU4vO4T8hNQFe55lke+wNuglNcwpNH9TzjMyqdW/Rd/w8vrgVXDPeaOvTBvSHzbEGe8HV+x74W75Dnz3ol2AIfpc+9QtjE7rSAme7Izj1g71K5c2kenXJad0lcENlr2THVnQDXy+RRPAY26NLmz6Q8uWKklYB+KbMTyer29HPqVaavAU/en2x0rUD3ViHyoxCvG9u1fYtn0jnrLzeaA6cMXZHWGMXqe696lRh7aeoXn0v9sO7Gz3e4ez2neBvxj8YCPWgS3Q2zquAGwRzFX/oRdfMna07Bt7Nvcx9qR9dLHQ6zBX8uPalS+ID6If+1ewLBx9PyPjePYhO/eL09zTwiWQrw6tfSfPw0eGwZ+Cjwy9LZb+hz7ns42kGv0v9bNvQd/SN99zuD4PT3dC7FjOKHhUTun0ZXHd9wPT+MdJ88sk3fhMF9rtB13JsHP0uh+myKDijzNPGxAnS/DPGZa4B/nVtiZz2L/TD03W55uC6rEaZf6bQbVstf7uDn524yprxB51l66h4BHiOhFmgwQz6uJ/dqbvgaQ7V44t/0ROvfrxcCr5pR63FoznSPDOolNYMTr/m1DvTBfQ/O1MfD4MXXotWWreEPjO/ULgE7mF6PK9wmRRX08dyNw5QVL/Plm6x/IfOVfosSQS8f21+NOOa7v88m8IdoAZ+gkFxbfladApL6NHj4DcfWHg5rkMPHprd7go+bs82uokG/fiC9/AVcOqBkyeradHF/tCkpoA/yd3/wZUevc05S6dogPj7eeGBLQzoW2hOjDWAz11+XtHIiD56UjiEMkD8rqaRzEVmdPaNjMyz4PpJQblCrOihtYzRTINQZwqVBdo3oG/dIEYtCH42KTr50kb0ptvOborgT0bcN+1mJz1ntrX1MLi67HDkFw50+RaLHY7gL9lHaSO40AcqWNwDwKe3BYTIbUYPspksuAU++vPu8hAP+sYTy8OPwNs3mvjEbkG/r7OPtQp8i0jCjDIfunJjvkQnuN1bB4/xbegT/sc0x8EvhNVNJm1Hf78qb7B2iKJqvFTockAQ/ef0UX0ucJlq0fFpIXTXuQK13eABblJn7wmje+QcEtUEb0yv+2G4C503R3S9OfjIyFenZRH02wmH+1zBP36NHssRQ2dmeZV1Bfy12Bvn47vRnz294JAMvsk8fIJaEr12W8DmQnArmna3oj3oXnPtNW/A3d9l/7GSRl/3OcCmB1xVg86bWRa9xDrg7xT4Eu3Uwgs5Uhzu6Qii/UpRXVdsE3RGHv3eSPgKL/jwwIl1nIroPkKJHlLgTmL9EbVK6FnhdD0HwC/vHmXx2I9+Nf+L4klw88u+CXwq6J4Km6I9wA++ubmlSRW9pb64Kxy86+aeB77q6ItzlZyp4PWhpuI7NdGtnOUPPQWnkV/zrEML3eX1tgv14EUH96hcPoAee9svvgd8u/G3t5I66KpRejlT4J/+8Bn36aLPaN4qphmG/lLf23v9ECmvLY4W84Bzn+U7o2CAbu8W90gS/JHf1+lvhuhCgsZxWuABCWLBcUfQZ9njPM3BN5nNMqkbozsMm+m6gnNaayZPmqBTSWWxh4KfPrRxV6opul1yYGci8Zwy21Ld4+j8rwdvQAFVtdKS1Z4zQ/+s3ilfDV4WHd7xwAJdpMqiuxO8Vs7c3vgk+osuL/cxcNPPeTOrp9ClxIRX/oF7cASF5Vuhq5h7XNr0jaJ6JLKV84QNesxa87md4Md67z6it0PvrqXY7wfnezipVGqP3qFK33AE3C38ZbOdI6kOcHTyO4Br8NPasJ1B7/yq4+YLXruxZabSCd3ykGNxFLjBv43XXJzRM8YlJ+6Bnw3t2MpzDv20/aMtpeBdGhuL37qih5i2q78Dv9z3XueCOylPLQtP9oOHz6yhCJwn5SO/9rk/4NIiTy+0eZLqvGKcJ+13qM9be5mCLqCP66a58YA/8Qh5IHYR3fSPg40EOH1jxv5uH9I5t//S0QDf8UaxEz5w4TlfUxY+Bq5Fr+8qG4CuUGa04ATeKdtFNxSILvxPoiYQ3Hviy72YS+jGS13BN8HnOo7tVw5BLz58WO4huFm0XtfYZXStlERKGXhjxbPzSVfQ6YKKLzWB56xLYjkQjv4v8SHHAHgE7e/c6avoe66535sGF3J6ffDeNfRHvzkF6UYoqq6tNN8Mb5DqoUdKMg94aN/ry8uRpNc/WkMvAV4o/5s/NxrdTF7XWR384uXbVcdj0dNeXaw7Cn7ZttCS5hZ6XE/0pjPgRQEq/4ri0C2kbpr5g2/wVku3TkDnsQqJiwb/Mv1MhSURfY7atu4euH9KOuVlEqmP1MqNl4BHbVwMdkpGL1VcpWsA7/n3VoArlVQP6at5esBtaOnf1KWR+vuHQMFJcM3W8tPn75LmE2kFgbWjFNXe1V4G/nvo35r+cLKDF6p4PGnORKdVL1y7E9xH2tvY/wH6qoTnkCI41+Xx2V1ZpDlEXqVcH/xeR1vKp2z0Wwubwq3AT37YoX4lB72ec07nPHjJtrHvUnnoayTH1oaBG57eGkV5jJ4w9KswEXz2cJVM1BPSnPaB4VgueH5I6xelQvS9acq/K8DTHxhcHn2KvjB8/XIr+A4bRdHbxeiRun/XD4G/t7rVrvkM3cT50tUZcD1dM//fpehlY2JLtD+IvnBd6G4Z+o4zK/abwe8Ei7Tov0BnuDJbJwZezS/rs/gS/Uv/Zl4VcK8juQKPXqEzbT57+gi4cfmNZtMqdO6PP3JswXfRfPZZV43um58y5AU+3Rct9LQG/anOZbar4JSJgjbLOnRN7Yy9d8C1KEqBTPWkOURz3igPPO+kpOiLt6S+ORxp9+oH8fkiqut0I7pNg7VzK7hvlkkYx3vS+cR4Ow2Cf264LFPbhL6rp+3UNPhWQZ4h9xb0g4fO69CMEf/nZfNNvjbS+oNPiXCBa+wOVmv6QIpD3oQ1IuBXZA2nfD+if3jF26IE7iEQmrGzkzRX0M7c1Affc5/PqPMTenIiv74lOKsdP1XoZ1JcbXiw7AYewxJRvOcLaZ2bQu6HgFsYmzr095DmZNUXanHguj1XuSL7SK/fa9zxANzh2LZ3ihSSJx2yLAUfdOcNHBkgzSG0Of1vwbd89t+TMETKU/5zpt3gjxTVhjWG0VcikmvGwFU0zyRNfUPXocgIL4O/y5zWTx9Bv1G3L5h5nKJqSTu0Vv8HelR3SRsfuNoWmecLY6S6VHWPaw845dZ3l+yf6Gs5aUzVwbu4lwVMJ9E3XRqMMAafOenZTTWFLpiiWGwHLs6iH1v4m5QXjBs6vMAzesIOWk6j33U7PR4Gft+Lf5XxL3q1k8bCbfCnEbzPy2fRjZLvr2SDe731djs9jy6TGTVfBl49ILWLY5F0PgLrxhrBU67oD9YsoV96Sdv+BVzGrj7ZfQX9NUtK4Tj4sPjdo3yr6EsVNWHL4HK3PrE0rfmCc9fpYCPmn1D/NV0afanQhZ982sQH/vyP1ZWd1OjUMg1NEuCdh5+qdtKgF98+HqAK7s5kvXSZDl3K76rAEfCJbufne9ajBwVZVFmD9zl1ePYzoKdpfTT2AP937s6eSCb0uHMzvSHgSkkvJhRZ0M8kvz51Czw7WT5vhBVd1EWpMxM8fOcGpwQ29O+h9prF4Jq/NXdqbkLPuaz+qBbcP7f92xQ7etT6jnUd4FM0FQ/SOdGzyvmODYPHla7a6XOjM8kK3Z0BD3VLE1zcjN67eaSfegLmqOH4r9m86DJMZzk4wGPffrtvuhV97+MCjR3gtc0x9uu2oa9PeeEoB+6Ye2vHU370Nt+oEG1wD7bJ75YC6KU/RONMwWme33vEJIT+40ZCigPx+sP5Z1/sQE9c25Z8AVw8ZsPuMzvRf4/3xoaBd4u+/8Uhgi7+szIwAVynq7eoVhT90n0fm4fg53W1vT3E0XcUM+1/Bh60l1ppmwS6RUUg8xvwcpPN/5ok0U9Zt3R2gN87dqXGTwrdTW1twjB4z4zW1V0y6J0r3IdmwBWGLfQ/yZJckXt+3STxu21v2K7sRX+ZsDZ1E7h3dFiXlAJ6e1HXXkHwtmd30iiK6Kel0xqkwZXpqOyj9qE3PztqpAHuoFgpuk8Z3bx/zQcjcJ51Lb9HVdCtDR4ctAE/zitVflsNXfmB+jN3cC3FkWAtDXTdKz2bg8Gl2Kd0/miif432uhADfsfuEFuGNrqLA2tDOrggZb7b4CD6gZwnbE/A76nMZy7poHcvHTV+Bc6opOuSo4ce+Y/6ehP41Wvjcsf10d8bV5f1gNt/61+lNkRfmxzZPwa+hVbwXdFh9PQLTksL4EYPnsdbG6FzXLVgXf+LovrRJ9WKxYSUL262PNzgCfs/iFYcJZ3/h9AtO8ErHpnOOh1Dlzao5tgLfstbpIbLDL3sylZabfAoK/3oN+bo3ptTJkzAD22ttPA8gT71eH+TLfG+TkE7t58i5fsAdaYHuOW/yJkWS1L9PDbrGgxenfCjOsAaffjJJpkY8HVjcTGituiBkVaTaeC3n9049dkO3Se2N+MxOFtxm1i4A7rjySi9l+DyabaLMqfRP930Gm8En5ZQbxw8g36yPT70M7iFoEtSzFn06KqpjSPgeXJfTyu7oNMuXb/zF9xwe5b8+DlS3gk7clFPwb3cK6G740Y6569XIjeC/z3P8vmAB7rQxx/z/OCJR4ofzZxH/5iYeFIS/M1spm+mF/q39tjnyuDPtvfpHfEmxY/w5/X6xOujbLb8u0jKL2l3EwvwgDnJyTxf9NnkE/FnwK/z6rw290fftSatyRu8sTTnFl0g+kZq+eUr4PvCjzo8C0J30hEXjANff1BHwS4Yvcf1kvo98IjSK4xsl0n73SxzvABc9tZ6SmUo+sKorv0r8MLET0UuYehcwfVn3oO/uzIeznMVXSE4z74b3IdL50RDBDrvjaXjI+BdzD8lva+jh2qUa/wFlxTuohaKJPURnRGhdb8pqpN86798iCLFs3LEvw3geaUhBZdi0EPepLfyge98rBa2+yZ6UfDuJHHwg5XaJ3puoeuzyZspgW99HCt1LZ4U/5srWXXAh2S308vfRl9RfFNpCv6ba65/OBH9GcdhB7vfxPcXNpbeuoO+xdBynQe41rhHlFoKOkPY36QgcOYTnA6TqehmJ7mEI8FlhVb3p6ajUy7U594Bp9CKc+hlkOYNT5qd2eBWtakTc/fQN819Si4BF+cxqn94n/T6TGXaGmJf73XumjxEv8+136kVXO9OqM/abNIcMt9R2wturLnWuOAResl3Bs4xcJYb1WKnctFdrwxYzYFXSNXRMD5GD/M0u0f9h6JaM08/UJZPqvOmF76wgefei3nhWIDu36zIuA181+TxBPan6EoBj2TEwbkzbNxrikhxSF1nogju7/v4kHsJqQ7QxTgfAPfdr7CTr5R0j8JM/ibgdnnU65qeo8/TqFy2Bi+KYKP4lpPmBO2dIefAqRItX+58Scr3iHcX/cB57owndlagd7iLOl4F/25U5hVaiV51V1c/HtzvSp2R1Gv0R89FRe+Bs86wSlKq0W9btK3mg9PZJzNF1aLHiCo3vwD/kWg3pvSGNGc2et56+4f4PzLODaP16A3d3oc7wA9bPM263UCK8xUd6kHwTHe5MK13pLm382fhBPhlizm7P+/Rb9I4mC6CK/TOamQ0k+qYRMlv2mmKqvQLGQHDVnS/6d6wTeB05flrl9vQC/8OsvGDe6XZD+a0o4d3vUkQBzcTN6s+3kHqp/tusCmCvxaNuEfzidR3amTDtMG7T82EFHeR+gjrmykj8MXrqbY23aQ54Y3KUUvw1IvBmqw96CNXHhScBbf5cVfoVS/64NQ81UXwjVmLNM79pPknT8UwlHiOZ+wI9wC65zGfmzHgbNw2jfWDpP4V/6gpBTzf3CXP6yupTtK1r2aDt/57GiXwDV3RaE60BHyhWcq97TtpbmHnNXxN7Ddq3DholNTXplWdmsBVaChy4mOk9cecCfgMvm2JcfOXcVLdi0y8Ogx+e+/55asT6B+ut16fAh8NYhuQ+0WaE3ZvCl8G90n5Uft1Cp2ay8GXfoai+slkMfvmH3SRH2/t2cEL3TQjVWfQDQ6o6PCD95fWuU/8RX/S9k5QHNzqd6Bpyhx6lKj7nDy48Yirku4CuujsnlpN8LU2idvmFklx3sl69TB4h/Ac9cNl9HxnVs0T4NZro8eM/6HzWUjPOYKblZ9og674n9tp+t8/D57MZV36ZC36m8afB4PAhb4lp55chx4bc234Gvi2ccZQBhr0jfJHfRPA2/8UOZXRoifZHqa9B/74TcwRR3p0z5LAG4/B1XdnyrMzoE+3DNKXgRtM/+CrYUR3OxoUVAv+aNCR1p0ZXWnE9GcL+LEa7smtrOi5Is7GX8CDrFY7329A31z5uvAbuEsoT6XvRvShA+Z0v8Ej552ydrKjn3KUP7YMfvHaRHQnB/pY5ak0ur/Qp9Y8vBjKhf7jT0vvRvAskVhrqc3ozx9EsfOBv295okvhIbl3qpYIuOfLNTJRW9APM/5zkQUffRG2ZR8f+gD1syhV8MQkZdof29A7aeqy9MA38u+aur0d/Vbh7jJTcJat2l+0BNGvZM9UW4M7nYiv+yOEzhHFW+cMzpvNUZAhjP503cNKb3CdpoY7hrvQG/LjnoaAKyTmX1kWQX+/eyw1Etyoo9YtVwx9l3BecCL49iOMJ8x2ox9V7D6ZCW7RFXqAVhK9bv1FqXzwtr27pUv2oI8rXv33HNx/Hx2frTS6tgtTXQ34xSI2hg2y6Ac1119uBl/rpD/7Sg7d1SZY4TN4sPjzIWd5dBknr5EhcJ93Rq2bFdE5V0aiJ8BvbdhS8VYJPaGqT2IePKWJI+fCfvQ9JmZvqWYpqleaVG4LqqA7WViYMYPb9t8O/aCKXn3x+yAX+Om2rR6X1ElusGonAD7t/tFytybpHIKy+8XBA6Of6/doke9l0EgePGeuUenaAVL8BBS+UgdX8GcQkddBfx3NKaAPvmHUh+ubLvqfMM5Lx8CVmDlo4w6hU9EUd1iDD5f3z6gZoAc9mRRwBjd71fl10hB9UajJ6QI4w8hCe+oR0nMYDXMugUfRHqrRM0bfve7i4DXwpPGGp/Mm6EyFuhvjwdc5et7LMkXfW9KwLx28RVvv5tHj6JpFs6cegbOdMAihMkev1//kU0S4d4BHoQW6pfDZyApwqdNdNpYn0e8PliTVE+f/75QxkyW69PbytDZiPSwbNF9YoT+66pvyBVzEYULmjA36w+fzN4fBjTv/CnHaob81UQyZBL8hKcJZZ0/Ku3/KTvPgtNpX6c47otOeWK9HNUdR5RhhXdh2hhRXjOmCTOCSIzVjzU7owUX//nKAj3Bm9Po7k+73z+7qbeALB7NbRM6h27tJhImAK+t/ft3lSqob76g0ZMCf/pUuDnNHn8/Kn9sP7sH5/KHMeVLdzpbKOgBeHWyfNOhJyhfXmwZHwP/R7rsRcwGd+27rhDn4E3+lIOWLpPPsmQy3A7/w1NZj3Af9b/1v7nPgm/2L7e/4ketVz31v8Ct54mYHA9BvyubvDAZ/ydFy6G8gqT4sn31wDXwiMlH1/iX0qBVOnjhw++EIGaMQdPae4ohU8Ohf93auXib1O3mtqYfgcyFDvPlX0D88e3ekANzETW/DiXD0gHnd3DLi3G50U6+PQDfJrFuuBtfMjVkovUbqs8eUdd7PEb9n6DJpfwPdt7Q0sgP8vJr7141R6AccZd71gR+3Tv78Ohp9H33pmhHwdR1jza6xpPNXVd8zBc7sblO75RYp/vO7zBbAd6//V/YuDj1l1t+Pap6iquj1+olPAvq7ij0JjOC7wx89EE5En8mcf8QOLshemtyRROq/hz492wpuPD0aezkZ/aRF00thcO4Ftat7UtHFPPpeSIL/XnwV2J+GziPDVKwA7tti5RV5F31O48QDdfCzusLOSvdI96vZHK0H/lCdzXY0E/1xl/15E/DtUfzmtx+gb88UOnwSfB3V0SNaWaT6qc26wwH8infewT/Z6OYOO2fOEa+vFlbNyEGvvO9W4Q2++vzNXsM80tx1fyzwEji7dITE8mN0VfoUhQjiObSuwrlPSHXAK/RnLPgjhot8ZoXov69l3bkDTs11n5O2CL3jJ61aJrgU1R+WkmLSOahmU3LB3e/b0dk+I+WX0HWf4nniewdzq6zP0YdVixgqwJ87PJl/VYauLCNwuw68V+7qb+cX6J/u9fI0g2vzXB7bXEGqAxLDSZ3g7WPpX9++Is0DAfs29IMHXurrvVBFip/d34K/g9sXKn8SrEa3+P51bBK80rSq9UMNuqOOkuEc+NhB28ZLdegrs2O5q+CnrIRrd9ejr0uYX0O/QFF95sX4quctqS+8cTiyATzLmu35tUbSekTl7nCDMy7LP5V/j55/xqmHH7x726W8b02kuXc7DZcIuNDD7w/jWtAl5xn0pcCFHVwz1NtIeRQT6KcILqHImfLrA6nv3LDKVAd/utiXkPaRVDeiimt1wdVC38Qe6kTnVQzoNwKPftx0Y+ET+kWpij/m4GeOTIdnf0Y/vtl7jS34Kx3Fy6Zf0J/EPaY7C57qlh64rhf9rKYt/XlinXcFfJ/2oYe8v0PlB1719I2XFYUUPy2msyHgZSFX3ZkH0SOmkr5eA8/4cdrl5RC69UeHdzfBt9Y5nnEaRj/NU5V7B3xmPNSe6zt67JnsK/fA6fZXWb8ZIcWh9XaznAXi95q4T3n+IM1pWZI7noLTV8eYbx9HT+zpGC8DN34sdKz1J/r6B5sev14gvg/VZRw4SeqzmZMODeDaW7MPi02hL/ie2dwGvtYiXr/7N7p7c2h9F3hgZbru1Wn0b6qa5yjgUcL1B+T+opt55TCPgAu4Mmh9nSXND8zl2ZPgRzyc1W/Oo8sWeO2bJeKB6YeK6iJ65lJ/wwq4Jm/o/oklUn+5vXiYZhHyyE9RKWUF/cb2d21M4PvomBR0V9GZ1Y8cYge3TFuUm1vT+59nJMZU8YKPbaaRfUiFrtdwfbcgeJW5mLQJNfomb60EUfAexXN71tKir9GqmpUCN098J1FAh87XuWKkCO55WHP3qfXonk1U2WrggapdYoyM6EzNbX8Pgo9rhYuWM6H/9T2rchj8kPIRkdMs6Hu924OPgRvRyu3i2IBOsWd8dQq8NlB2Zy0b+soo17Q9+LUQQ2GPTaRzeLgo4AL++NflHds40D8pl+p7Eu+b9UGomRO94KiBux94VqiSkD83ukpUTVQIOK/jK0ERHvRb17kfRoBvF7cQ7OJFr/plVBoDblCyQTBsK3qXlUf1bXDTvgEBmW3o04G+9WngNOHvBAb50QUnXN48ANePahaIEUAPPGJYmQcu0/5DQFkInfcQ/9Mi8F6ZbYLjO9DZgr+llYNH3TwneGcnuu+tjCuvwTPfdQgeFEF33nHU4S347cqjQn9FSfHQS6XWAk5lMCF0Xxz9qHkBeyd4kmn6DiMJ9GC1k197wEXKTguvSqJnyjI9HiLe96juznwp9M7P1a4/wNczau46IUOKh7ZLYlPgYS+PiqyXQ//+SmdoljjPA0Giz/eS1qm9LW5lkfg/qlViDgroD+lpVaiX4Dku3Ls3KaHP5a0OMYD/aYiQqN6HztHOcpltifh+zYY9bsro/Hx7ebnBRy8WSG1VRVeW8XnCBy4c6SDzXg09qqRr3w7wmLvScr4a6HLax2vFwDXiOOV3aqGbRSxoSYP76rApdmqT8m579WsF8KgMgX2hB9EfFRXuVQWfCtBTltIlxc/AuyxtcKmqCFWKHnqh/kY2ffB5nT71KH30gJRrF4zBmZcPau0zRM93k+kwAzd+0XDgx2F0F5eNu63AXzlY6SYaoQ/LigQ7gDsPMOprm6Cru/g1O4NHMrUYTh9Ff/yMnuM8uFvTQ6N7x9CNSj4d8wEPoIo7etgM3Ypx5FYQ+N6bCcdXzNHXWu5vvAKudiLfIu8EuuPh7oXr4IaaX06Zn0J/efm10E3wfeJbbOis0KVTZnQTwWfmz9s/s0Zf3OfjlEbET2T/aTtbdE16w9D74BvfWTqz2aPvv++TmAPeEz/tWuWAvqVw8WEBuEpb6vlzp0l52v7pyTPwJ1YW3rxO6IaPWYteglcIi/s1nkVnGMouqCbed/3GoIsu6Bc5M7PfgvuMMV7e4Yr+7uea5Gbwpiebwz+6oSvQvw3/CL5ead/1EA/0Bca5c93gmu7u0ZKepP2mxB2mgOfIld/q80I3ML8r9g083JUj8YY3yX9soRpf+t/vB6Yo+qAHTbJ8nAI/2ESXMeKLzsPkkz5L3OOLtAcJ/ujHv1nYL4P35h/I0QxE99j6QohqmaI6dIPqye8g9KzjSRQ68H2KH4ruBqOLyc/HM4OPJBc9N7iMrmHVq7UJ/F9CVsVSKPoOz4O/uMGLWfOrc8JI98W5P54P/NjEm/rjV9G1xytkhMD12X+/p7mGvpzQ1CwCznVW4kPxdXSf8nO2kuBHOgI/2USSzn8+87cs+GMFSg9rNClu51z9lcDnAowHX8WgU5l3rKqC81zt+u58E53ldWeQNjinsuvPzXHo29ouzOuBrwvj/PM2Ht1P/LnLEXB27ba5C7dJeeeT2mMKnmiXsiKYRJofju/SPgE+VX9xXfsd9G7nUznW4JmmDuuDU0h931yF3hFcbdaOVSKNVGfqmm2cwQNjPDl609G1DrOUuoPvoI/nvZ5B2m8aFY03OO/BN9sVMkn3a5Rv6A9uJkO36/t9dDpWtrhg8Nlic4n4h+j9vnvaw8D5CytkNbLR52VZmG6A87Hu2Tf1CD3l62O1WHCDsmL19Fz0jSKs7gngInEHdfQfk+LwkXxyMrjm1XHDxXzSfEIjUnWX8IC7po8K0PW/fut/AD5mbnfy2FP0mWH3hRziHunl7aiL0Qfzm1gKwJ+78pwtKkG3GVziKwHvu8DsYV2KXi2wVrQcPItmgw9LGel9OSiSleAmtAKXKsrRD59M2lMLrmCtGX72JWneSJEUbwCvWfKM4n5FqpNe2QLN4J7VxfH1laR6GEXF3g7+8w5VqtdrdMmrmmu6wAfPWd8XqEEXpj030kPci3Bzblst+rn8kMYB8Mg8naKgN+jm/FeyvoELj7SXi79Fl6e6GDQGvqbGufpLA6nPzp40+gWus2NTY8Q7dNYMhW0z4BqLDW17m0h9M5NpdB7cUDTq83AzeuS9nrwV8J50q4FbraQ4V310lmoF+ri62qjaB1If3H5BiA78/ZLE1GQ7es2oVjcjeNRzsfnUDvRmRZ5rG8AjLfeuOfQJ/fnzORkO8PIvhvQLXaQ5imagezM4G+eFDdndpP7+ttOPD7xw8RG3aQ86TUYPpyB4zfkx/nV96HXSM/k7wePPKIo87SfVE0EBNXHw4PoEKasB0pzMfqZ5D/g/71VF5iFSf89pMJUDT7L31nj5leThB7oVV4jf01jUc/pGyi/D4eMq4O33bphwjaC3PHjwQQN8pV7k5JtR9Hvi1w8cBLfq6LD3HEN3u5ZYegh8sSTy3Paf6NGWrduPgH81MfJunUA/cVg24ii4TqrApcBfpHlgteGHGbiL75oIsd+k+Yct9sAp8LxPY7Hdf0jzhkhkug24z93BO1dn0P3Hqn47gJtVDWfKzaKvn9+tdhZ8bPtM3tc50vP/fr7mCj5cxPrs5gKp7oXXtpwn7tdSvlJ1iZQvBlMsF8FNWJ3fTiyT+vukjZ4/+IOi3LaUf+i3mXhDLoFvkJ3t1l3T95+nH+IrDgV/ecng69xa9CJD14GrxLmFFP58uA59dznz+kjwLuFtsyY06OclVsVjwVct7qyupUMfMNLWjwf/zLBtfSE9+qf6Icck8BmBwo2WDOjP93wJSCXiKkZ/CxMT+pC0RHQGeInKzI4XzOgV7oPJD8AneLMlz7CiP4iazXwEHsvuoMjJhr4s7p71eIX4f3wSmnUb0Xf9OfKwEFyOicrgPDv69eCUuyXE/X4bOMbPiR7ub5xQBp4b/c66hQs9MNwnvAJc6G/l2YDNpP1qbfB8vUJ8zq30EuVFnzbfcqKO2FfB26DPW9D3Od1VaQD/3t8TEc6HzsaZurUJ/GbI4i1ZfvTudRzzrcQ6wwTThrajL3YytXwE9/p8LDtWEL1HMvxuF7j7mfinKjvQKSWhLj2EC/a+/CmM7k5PL0cBvzq3uz55F/pUM8fCEBEn7dfadETR3z8qKPsOXn//15dZMXTH/Z89x8DDzay+PdhNOn/xW6KTRD2kfP5lLInuzzvQ+xv81M6Ti2uk0N/k113/S6yH7wd1gTRpneEasgvgZcWXWE/Jon/VOdm9TORv5zYexr3o15LY/db8g88Xno1C5fLoTdyunNTgKv4BkqcV0Tedc35CB17Tq6DEsQ+9UYFVgxG8LfyfVu1+dIttJz+wgMecaT7soYK+p+7oyY3gCh4PLbapoZe8WxriAOeODXdoVkc3/mTisBk8ocTd3V8T/cJ1q69bwPlb7PxFtNFvXN9+ih9ct8kqvOsA+j/f1HZB8Px0+5thOuhKy+2aO8HXyJ1PldFDzyt5WygKTn8pInvwEPrrA4GbJcAzXbKLYgxI52w6GygF/mqi5ZXyYfSwMLl+WXDLP/8axo+Q4tlXWUkBPOmsfMcdY/SZjxtu7QNPOeBDOXiUVK8Ui76pgD/wrh77a4oeYCAkpwFOO75x9v5x0n6LnIK1wXfFu6w1Nke/yRz2Vgc81LaFac0J9Kw1vgz64NkHFLifnETPldTRPQwuI5UreNISnVXlb6gxeN9GIUkGa3St1ssvTMFdex8qldmgl4VP/zQDrwqSPOBoR8pHOj3ek+B1Y6+N2B3Qt89GaFuBB7JZnKpxRJ+bKXK2Je5rePGM+xn0lux3UQ7g3ib3vfjOom8uas87A85jZBLc5Iyu97z5jTO4cgtDpN859DaLyh5XcPWKxsRdbuj8atkTHuDpTLH3P7mj5zDcWPIC7yo8VXDlPPrgKRcaH/DIZOmX0l7o8n0GjP7gzi9Z3g5cID1fXJo5CFya5k979EXSOU/yMoaAlzv19u/3RfeuZ6a5Aj78pXlszA/9nRnDUjh4oV79bFIAKU502CeugQvlvaE6GIROpSjREwluO/me5e8l9A/NFm9iwO/QdvPcD0E/kZuadwuc7ftPYaNQdO7zs1EJ4Fsv0cmsXkH3aTjrkkS8b90u1fxwUpwfWT6QQsRz9pFDJyLQV57kb00HF9ty6fj66+jM4SFTGeCm7CV2z2+gJ/r6Vd0nzv/yLzeHKFJ+7U65ngV+3kIqYFMM+i/N70Y5RPxE+0ZUx5Ly3caS4zG444aGeLdb6OUitJ1PwO92bLm3NR49VnUg9in48+aL+e8T0LMP/NIpAW+e/Fzum4juNSS3UgrOIqZWv/MOultpaX45+OsL+e2dyegsjl4WFeCyNfyU0FRSf4n3WFcF3roueVwqnRTn3wsfVYMzSGyep9wlxcmKrF4d+FnZdOroe+imQWtG68GjGETY9t8n1WcmzsuNxD0+KN869gA9WM+Huwn808xh0aQs9Fe9Inkt4NemxvceeIRu6bhb6QM4+40ozZkc9P7rYW8+Euspkz2SmYdeOiFr8InIF5fBk0fy0U9Jq3z4TPSRlDinf0/QDy/fN+oBT1Q85P24EJ3m15mWPvBeJfpQiyL0+fyYgwNEvMW9i6EvQb/Xy/NqCPyAwq3U0mekeYaPWfIbuMRWqxz75+jruJzSRohz2CtVurEcvcBJin4MvMGXvvb1C9IcUn7G7Sd4xpfhVtcKdLs8to+T4IyG9b1bKtGtByVkfhPPaXj8410VustqTcw0+H3VpFmfanTanLbRv+BB2RHrdtaiPwyxUJkn9vU3cENnHXqDuF3sIvjKVp+tofXoPwwm+pfBn3JeFJVqIPWviCWRVfCIDj95SiM6e3Csx9pViuoT/VCtqPfoXJ+fPFsH7uQVa7SvGZ1e1nyWBny9eqbljxZ0G/lbMvTgv7PLnBPb0DPDTp5jAE9I/+ij3Y5+sObFfSbwizzTYdMfSXUvtuATC7gIG1fcvU70/HhlWrbV//3ufcbhLvQzHqelN4Gna7vkr3xG93sneYID/JNr2ou8L6R70bwTzLVK/L+59rfmvaT6cykrczO4/WOmTrp+9LsCFtW84DGP9YaeUUh1r7W0dyu44UDkL7tBUr0Sq5rZBl6q/HGZ7StpPV0X1guA/3ixleH1MPojnz4eIXBuQxcu1+/oPEXzu4TBr0xUCm0ZRT+y853MrlXi704c0u9+kOLB/+g+UXAHUXdVn3H0tSbJquLgj0ta9IUn0C8eSVeTAG8TkrLomCTVTy47lT3glh6Jpy9PofPqjytIg8/Grr2w5w/pHm8q7pEF1/Jzu9w/Tbqv60eE9oLTCA3GRP5Fb+6R5lBYJf6OdyxNaY40P+/6SqUEzhvfmjs6j664yX5iH7isjn7Z7UVSPKuVdSiD6yY1vdFaRg83GSpTBbf2P/Lxzwp69a/hO+rg0aNdAxmrpHm1rOaiJvjSJ9tJw7X9/3mfUZCxNvgX5d9Ly1ToVZY8ogfBXdhD1+dRo3++fOefDjitMTeXOS16ns2/Vj3CJwuF6OjRS9MPpeuD91L0pZ+tR/frC3UyJM5t209VO0aSV+dIHQFnuR9twMaMLjtZNWtExKed7IkqFnQRusYyE3Bps74z5zag9xS8vWgKXuBzzZt3I/q7G5Uyx8GbKhSuNG5C91Ep/GkGfnLL+M2LHOinne9mWoCrxWTc3cGFzlUabXoS3JnZPP8jNzpDTTCNJfjnaPaXITzo1dI+RVbgtxk/NkhuIZ1z3sWTNuBV/vGf+raih7aFrLMDD+gyG76xDf2m1p1se/C1XPx/FLejO+e91nEkni89tjoigH7r0eL30+A3BJ4z3xZCv0rRvexE7IsSzqsljN46XcjjvEp8T99c5M9O9LEI6UIX8KIMCfkMEfSTGh80XME9btNqG4qhZ9XGtLuBLysNGi+Lo+sWult5EPUzvNI6VwK9Kc/7x3lwes90V7M96AXmD9y9wFfmggNopdE9Ty3PXAC/y+J4vUQGPd0ixPsieG2BQZKtHHrhjNxfH/BjHfJZG+TRJVq3ePiB610QKqlUQE+OUhjzJ55/Y1ONixK678cb1oHgpzfQtPHsR9fX2twRBP5qeb6vQRn9duhXrWDwRt1f496qpPiUnSgKAa+ZGlkQUkfPWFLgCwUfHxui+6hBikP/xvAr4PFSAxwhWujFx+/9DAPnqaQISh5Ap5etPXwV/Pu1Qam+g6R7LJYqjAB3j/6mekMXvd/vF/N1cKU34waKh9AdxFfP3ADv2DlzYkQfndbFrjoSvKfgn1OCIbpaHx9XNPjcMUYfzSPoaYKyZ2PAKZw84b+NSPc19PBFLLjpD9H4uyboDa+86W+BCzcoZxqYkp5jlmMSBy6Rb1y4dAz94TG11HjiObecKnPM0K1PqAwlgEd5XG46boF+jCFrRyJ4l1baF5qTpPyl83NMAlehfTFafAp9zd+KB3eIOlbwedbGCr3yosdAMnj7vgXqDTbob6WTN6eCH33Au6nSFv1eo+KRNPCUr6rbXexJeUcxvpJO5MW0gySPI3o39+izu+C5rVHKDafR1bmXhzOI8/F4fsjbCf1GyE22TKLftQ+ZCzmT7mU+d9998G2/WM+0u6APbjtk9wD8zmsV72BX9NkUr4iH4O/U3a5IuKNTbRDNyyLmgXP3bvV6kN53m+v7bKKuKndmXPdE53TV/PEI/E8+Q4HCBfRddx9T54KHlKm/+u6NrnPs8dY8oi6Z+b2P90Ff2Kst+5ioexEl3Rp+6LXDvjr54A81pkam/EnPX2dg8QScK3T3bHog+lO5aqcCcH0tF2qDS+Rz6PYuBNcMebxxKRhd1SEx5Ck4g9wkf85l9CM5/64VgZdZSEkev4KeEsMWW0zk18QFZZpw9Psv2+NKwE+MvjxUfBV9qk0r4Rl4yYF1FjbXSPnleTa+lKgn6/TPsN5AP6d94OZz8Dqe296vIkn9d/zLjTJwgauDV5yj0bXWi10pB1fUkojbHEvqO+qKfi/AfQwC7r29SYpPBXrXl0Qepb8vuBCHfv5mslUF+HHpLZWCCaT+/uuP4SuibtO4Nn24jT4zu2l/JXFfG6u/XEoi1Su9NTurwEeOcvzYnUzqv9EvWF8Tc2nj2bmeFPT3DtqzhO9xrqa5noYu6XX/SzUxJ+zdzK5wl1TPT3VV1IA37Dgv8D0D/VDd19RacLm9TXviM9FZDd771RFut1NV4wEp31Nij70BL34UajD1EP2B0d499eCZVIMn0rPRg9mr6N4S+z2nelY/B33r1d19hH/+mu6zmEt6vsGVwgai3tqthj96TOpT6+tDGok4HLFOOPaEdG7Wf4+8I+LZpfY+dSFpHvjLzveemLcnhIuKnqK3Oe/8QfivMzdeWxeT8tpRsqgJ3LV7qoXlGSl/r0v6NhP73Xe8r6IUncNPVKUFfGNk5fjZMnSeboG1reAT9cKL3C/QBQ/x1hD+eDSG/u1L9GeenCFtRF+eWOC88ArdfJZT5QN4frv9DsEq0tzivW2B8F9xbTIfXpP6V6J0UTs4t4SyxqUa9NEVY6eP4K/Tco/srkPfqB/K1wEeTuG26nmDPrmj/gPhm6eunrv2lpR3knyhneAiTXP+8o2k/sgQLf2JmHPcz1z/9g599ST3AOHPu7uT4prQfzVU3egi6iG1frZ6C7rcn3C5z+Bhk5XPfrWinwhw7yO8Jk66Lu0D+jeGS6HdxBz+O6v90EfSuak/2/kF3It6y+BCB7pGLcc7wjsbb/7K/oS+Q/b+2R7wWBX6f6af0a/JW6/vJe7d6hIT9Rf0OffDWYQfEZ3jKeohxU+op3ofeGiKm4h1Hzoje+sXws8XjsqzUEhzb539+X6i3jraHqgYQE9VlKengGu96D16doi0Tk7dVMLv5By34x5GH1pJlRgAvyX10aP+G7plvFwV4X6HDwd7jaBvCeQwHCTiak1TtMAP0pxwQrWH8DAN3bS2MfTLH585DhHnvPFtXtBPdMUI/ynC285pvxCfRDfaGufzlZiTjesavvxCN9m7+o/wyQrNrojf6PXeNaHD4E/yar/tnUaXvkyh/QY+y6s1MzxDqhvLZhGEWzC+oYqbJdWrCCn67+C+Fw+wqc+jxzQ6hxM+d6ph268FUh+0Z1g3Quy3Qk8ibQndaok1iPCO2Ob9h1bQX0pfmiM88/ORQwv/SPNMvoXbKDH/3+wwz15D+c9pNjz8RnhrudkZUyp0qhVrix9E/Bv2ea+jRtfkvtlM+GVD27CnNOhHaBRUx4j1lI7EWdGhF502KyA8N+xcJvN69F9DM1vHwafLpgtfMqDH8Gy4QfhDQ78qJyZ03qLHs4RXaa1t4WJB5zFotv4JfuBORO8bVnT2GK9GwrX1Nox7sqHH8j7cM0Hs1zRpYfsmdM7bNrcJXy3np29jR5fIfLxI+B+vHM4gTnTbrxGnJok8vSK9Q5wbfe/KfCXhbSMvZb5sRpeOW+X7Bb41VVsjghd9SOduIOGzd1uP7N2K/r76yxfCk3+bWw3zoXvdK9k7BX4sZvjcLX70MzckbxLufdEtQE0AXUzQcIxw40eL1ycF0XWYNmn8JvKXP/xO6g50rbHgJMIL+9ge6e1Ez7NOniD8X39a6fwu9LWbbNX/gKcKiL7JEkVvffAljvA12aUfj4qj3y2n/UZ41lnNISoJ9LmZUdlp8A0ubVOFkuinFkNDCa/NObVqKUXyc1/aCDcUGGdmlkEP+j25ZYaIhw6fLS9l0Q+K1p0mXLOSVsxpL7rKy5NPCf/aH6/IpUCKz4MvFwhvkRXUeaOIPuA5pPaX6I+VT4957kNPGuoIJ3yPv5rDdmX0DPmE94RvcGr1bFVBD+EUZp0FX3/V8nKgGnqNwHUjwj9/nIgV00AfW629RbieYeDdbk30UKNP7YTv+sv05Ko2Kf5f1rLNEefwNrVC7iD6joHow4T71Yq//6pDOgd7pUjC741WdN/UQx8Za3hLeKqcwaiqPnoulzLVPBGHOX2zEwbojNF39hFepuFKk3oY/fbvAU/Cn61Z3aRnhP7hG0ce4QeGYgTmjUl1hmXfIOE23/mlso6i+7CYcC6AMzMVqR49hv73mrUe4QbGmoZUZuhqQo6BhIuVdZwsNEcfDXYsILxsv6Oz5Ql0V037AcLpKXO+TKfQLVltNyyCy6Rfi3hhia4aYatKuLkvb+IZa1I8GJ05R3iKW/5DTlv0GRbvZML5g1VL6uzQu+2i6wlnz/1Qc96BlEfTxb8Jz/5p94H/NGk9tj94l8BZD85SWs6gs5lIaRN+pSxiMuAsurNT9DnCNdV4V0RdSHmnsy6B8Ji+fMbuc6R9Jdx6SXhejBrPVTf0ht8qg4R/N/24S84DfQsVI+0yeKSko/zX8+jVTgsihP/iXdC+6YWu3sRkQPhpnsijqt7ogs0H3QjXF91mN3ER/Q9rfizhVIeKPFJ8SXVVQfUp4SP+2sG6/uguP9Z8INy24nP0XAC6+NuZX4RTGF3SHgaR7sVrK8sK+Hun1TyTYHTj24FihCd13nqx9jKpPrdw6RBeYSjcWBCK/r160o7wpx3lXafC0CU30Vwi/I+jwXfGq6T1OJ66Q/gamsGZ8gh0e8vFIsKtnnitO3Md3eZu/3vCb9vSb+SMJOVjE9Mw4Xu2p/LXRZHu69rVJcJf/pCUPB+DruFntPEfeOPLWmX+m+j31M/tInzy9nH9llukvAjtUya82m/cIiAefc/XB8aE9zlechK9je5GXe9I+FeLTT6fE9GLr2v6Ee5xLDs8/A562Gb+KMLFzPclyKagnztqeZfwl7at94dS0af71zwlvOG8XVFsOqnenmSoIXzNtbnXKhnoS+6B7YRvenij9ec99Miqk0OEP6vf1p98H713PPc34bcnin/qPEQ/f+fsmlXwC5t1lmaz0D87p7MQTqfXu/7hI/R4Wt0thDNecuc2ySWdG/M5EcLVy6h3rn1MimdB5r2En/2bJFeQjy78U0yD8EN7d2udKkC/ydhkQHiuX7Ux41PSfoWmzAg3qTG1KS9Cn+xJtiOclXnM7XQJKb8+tpwj/LFFUBBHKXpUYfRFwhdzN0bVPkfX4+gLJrx5JSvFoxz9ycOKa4T/Nd6Xu+0laa6g2XOLcIPc1rLmCvS4LsXk/61/nf1b/0p0ode99wj/bjnfKfIa/ZItbw7hlJeRw13V6KK28wWEe/Bsnw6rRS+09S4lPNDv2VrZN6R+RJdUQfhwj+6GoXp0pxmrGsIjVPr5YhvQ85va3hJ+OPP8bpV3pL4sM9FEOD8d3f6f79EfNz//QPiAS4pecjO6r7LMJ8IDPkqa67SidwnbfiG8T6nu9GwbutHug/2E/8o0837QTsrHmeFBwjMYJ64Yd6CXbVP59r/z8QqJW/MJ/Zmx6Sjhaf0cmU+6SPGwZ/c44e90cgtPdpP2daphgnCLYpUqhh50mUCRKcLV+D42l/WS1ilt8odwt2unex37SXWSX2eG8MGZpTH2AXSRnwyzhF+zjl2oGST1cfn0OcJtmoToid+5/38vzaZe+J8rlHNu+0auA2qLhIc8MNjR/B1dPsR0ifCKDUMy/qPo9NLa/8fGXUBnsSXa2p5AgkuwQCC4uxMIEhyCuzskeHB3d3d3d3d3d7fg7i6Bu4r9nrvqP/dnjO5nvLNpdpKqr2p19x7929lj9u1WzPn/wf2/P4cpccL+3T8vola5/srunSsc+Lc/rDG/kfP/N/k/e9K/lf84e8NDuUJyvbN79wrH/+0Psp7o8+C93SPeSfPX2dvMrj96/Ee716zY/t/+M9KHmYU+2/1R6WX/9lFdhq549cXuQW3P/tt9H/hsn/nN9Vxt+Ozfvq7CuqOlf9j98ZGv//Ziu4pd+fLT9XzI9+fffi3t9YeLf9s9XFHnn0MDWk9u86HKH7v/9ys0oMewc0s7/P1/d+dP++vaE+/1v/u3f/gB/9M/+4dXmML/99f+G17x2H1ir29YJdqV2Pv/yGtwuJTvyybqmeC3+deP8nu9IvAbPcw/Injpf/16H/C/F/b9/3vx/L//3sZF/v8c8D8djkaFp1ERaJQHjfKkURFpVCQaFZlGRaFRUWlUNBoVnUbFoFExaVQsGuVFo2LTqDg0Ki6Nikej4tMobxqVgEYlpFE+NCoRjUpMo3xpVBIalZRGJaNRyWlUChqVkkalolGpaVQaGpWWRqWjUelpVAYalZFGZaJRmWlUFhqVlUZlo1HZaVQOGpWTRuWiUblpVB4alZdG+dGofDQqP43yp1EFaFRBGlWIRhWmUQE0qgiNKkqjitGo4jSqBI0qSaNK0ajSNKoMjQqkUWVpVDkaVZ5GVaBRFWlUJRpVmUZVoVFVaVQ1GlWdRtWgUTVpVC0aVZtG1aFRdWlUPRpVn0Y1oFENaVQjGtWYRjWhUU1pVDMa1ZxGBdGoYBrVgka1pFGtaFRrGtWGRrWlUe1oVAiNak+jOtCojjSqE43qTKO60KiuNKobjepOo3rQqJ40qheN6k2j+tCovjSqH43qT6O58P81aiCNGkSjBtOoITRqKI0aRqOG06gRNGokjRpFo0bTqDE0aiyNGkejxtOoCTRqIo2aRKMm06gpNGoqjZpGo6bTqBk0aiaNmkWjZtOoOTRqLo2aR6Pm06gFNGohjVpEoxbTqCU0aimNWkajltOoFTRqJY1aRaNW06g1NGotjVpHo9bTqA00aiON2kSjNtOoLTRqK43aRqO206gdNGonjdpFo3bTqD00ai+N2kej9tOoAzTqII06RKMO06gjNOoojTpGo47TqBM06iSNOkWjTtOoMzTqLI06R6PO06gLNOoijbpEoy7TqCs06iqNukajrtOoGzTqJo26RaNu06g7NOoujbpHo+7TqFAa9YBGPaRRj2jUYxr1hEY9pVHPaNRzGvWCRr2kUa9o1Gsa9YZGvaVR72jUexr1gUZ9pFGfaNRnGvWFRn2lUd9o1Hca9YNG/aRRv2jUbxoVRqP+0Ki/NJoD33+NCkejwtOoCDTKg0Z50qiINCoSjYpMo6LQqKg0KhqNik6jYtComDQqFo3yolGxaVQcGhWXRsWjUfFplDeNSkCjEtIoHxqViEYlplG+NCoJjUpKo5LRqOQ0KgWNSkmjUtGo1DQqDY1KS6PS0aj0NCoDjcpIozLRqMw0KguNykqjstGo7DQqB43KSaNy0ajcNCoPjcpLo/xoVD4alZ9G+dOoAjSqII0qRKMK06gAGlWERhWlUcVoVHEaVYJGlaRRpWhUaRpVhkYF0qiyNKocjSpPoyrQqIo0qhKNqkyjqtCoqjSqGo2qTqNq0KiaNKoWjapNo+rQqLo0qh6Nqk+jGtCohjSqEY1qTKOa0KimNKoZjWpOo4JoVDCNakGjWtKoVjSqNY1qQ6Pa0qh2NCqERrWnUR1oVEca1YlGdaZRXWhUVxrVjUZ1p1E9aFRPGtWLRvWmUX1oVF8a1Y9G9afRXOj/GjWQRg2iUYNp1BAaNZRGDaNRw2nUCBo1kkaNolGjadQYGjWWRo2jUeNp1AQaNZFGTaJRk2nUFBo1lUZNo1HTadQMGjWTRs2iUbNp1BwaNZdGzaNR82nUAhq1kEYtolGLadQSGrWURi2jUctp1AoatZJGraJRq2nUGhq1lkato1HradQGGrWRRm2iUZtp1BYatZVGbaNR22nUDhq1k0btolG7adQeGrWXRu2jUftp1AEadZBGHaJRh2nUERp1lEYdo1HHadQJGnWSRp2iUadp1BkadZZGnaNR52nUBRp1kUZdolGXadQVGnWVRl2jUddp1A0adZNG3aJRt2nUHRp1l0bdo1H3aVQojXpAox7SqEc06jGNekKjntKoZzTqOY16QaNe0qhXNOo1jXpDo97SqHc06j2N+kCjPtKoTzTqM436QqO+0qhvNOo7jfpBo37SqF806jeNCqNRf2jUXxrNAe+/RoWjUeFpVAQa5UGjPGlURBoViUZFplFRaFRUGhWNRkWnUTFoVEwaFYtGedGo2DQqDo2KS6Pi0aj4NMqbRiWgUQlplA+NSkSjEtMoXxqVhEYlpVHJaFRyGpWCRqWkUaloVGoalYZGpaVR6WhUehqVgUZlpFGZaFRmGpWFRmWlUdloVHYalYNG5aRRuWhUbhqVh0blpVF+NCofjcpPo/xpVAEaVZBGFaJRhWlUAI0qQqOK0qhiNKo4jSpBo0rSqFI0qjSNKkOjAmlUWRpVjkaVp1EVaFRFGlWJRlWmUVVoVFUaVY1GVadRNWhUTRpVi0bVplF1aFRdGlWPRtWnUQ1oVEMa1YhGNaZRTWhUUxrVjEY1p1FBNCqYRrWgUS1pVCsa1ZpGtaFRbWlUOxoVQqPa06gONKojjepEozrTqC40qiuN6kajutOoHjSqJ43qRaN606g+NKovjepHo/rTaC7sf40aSKMG0ajBNGoIjRpKo4bRqOE0agSNGkmjRtGo0TRqDI0aS6PG0ajxNGoCjZpIoybRqMk0agqNmkqjptGo6TRqBo2aSaNm0ajZNGoOjZpLo+bRqPk0agGNWkijFtGoxTRqCY1aSqOW0ajlNGoFjVpJo1bRqNU0ag2NWkuj1tGo9TRqA43aSKM20ajNNGoLjdpKo7bRqO00ageN2kmjdtGo3TRqD43aS6P20aj9NOoAjTpIow7RqMM06giNOkqjjtGo4zTqBI06SaNO0ajTNOoMjTpLo87RqPM06gKNukijLtGoyzTqCo26SqOu0ajrNOoGjbpJo27RqNs06g6Nukuj7tGo+zQqlEY9oFEPadQjGvWYRj2hUU9p1DMa9ZxGvaBRL2nUKxr1mka9oVFvadQ7GvWeRn2gUR9p1Cca9ZlGfaFRX2nUNxr1nUb9oFE/adQvGvWbRoXRqD806i+N5kD3X6PC0ajwNCoCjfKgUZ40KiKNikSjItOoKDQqKo2KRqOi06gYNComjYpFo7xoVGwaFYdGxaVR8WhUfBrlTaMS0KiENMqHRiWiUYlplC+NSkKjktKoZDQqOY1KQaNS0qhUNCo1jUpDo9LSqHQ0Kj2NykCjMtKoTDQqM43KQqOy0qhsNCo7jcpBo3LSqFw0KjeNykOj8tIoPxqVj0blp1H+NKoAjSpIowrRqMI0KoBGFaFRRWlUMRpVnEaVoFElaVQpGlWaRpWhUYE0qiyNKkejytOoCjSqIo2qRKMq06gqNKoqjapGo6rTqBo0qiaNqkWjatOoOjSqLo2qR6Pq06gGNKohjWpEoxrTqCY0qimNakajmtOoIBoVTKNa0KiWNKoVjWpNo9rQqLY0qh2NCqFR7WlUBxrVkUZ1olGdaVQXGtWVRnWjUd1pVA8a1ZNG9aJRvWlUHxrVl0b1o1H9aTQX8r9GDaRRg2jUYBo1hEYNpVHDaNRwGjWCRo2kUaNo1GgaNYZGjaVR42jUeBo1gUZNpFGTaNRkGjWFRk2lUdNo1HQaNYNGzaRRs2jUbBo1h0bNpVHzaNR8GrWARi2kUYto1GIatYRGLaVRy2jUchq1gkatpFGraNRqGrWGRq2lUeto1HoatYFGbaRRm2jUZhq1hUZtpVHbaNR2GrWDRu2kUbto1G4atYdG7aVR+2jUfhp1gEYdpFGHaNRhGnWERh2lUcdo1HEadYJGnaRRp2jUaRp1hkadpVHnaNR5GnWBRl2kUZdo1GUadYVGXaVR12jUdRp1g0bdpFG3aNRtGnWHRt2lUfdo1H0aFUqjHtCohzTqEY16TKOe0KinNOoZjXpOo17QqJc06hWNek2j3tCotzTqHY16T6M+0KiPNOoTjfpMo77QqK806huN+k6jftConzTqF436TaPCaNQfGvWXRnOA+69R4WhUeBoVgUZ50ChPGhWRRkWiUZFpVBQaFZVGRaNR0WlUDBoVk0bFolFeNCo2jYpDo+LSqHg0Kj6N8qZRCWhUQhrlQ6MS0ajENMqXRiWhUUlpVDIalZxGpaBRKWlUKhqVmkaloVFpaVQ6GpWeRmWgURlpVCYalZlGZaFRWWlUNhqVnUbloFE5aVQuGpWbRuWhUXlplB+Nykej8tMofxpVgEYVpFGFaFRhGhVAo4rQqKI0qhiNKk6jStCokjSqFI0qTaPK0KhAGlWWRpWjUeVpVAUaVZFGVaJRlWlUFRpVlUZVo1HVaVQNGlWTRtWiUbVpVB0aVZdG1aNR9WlUAxrVkEY1olGNaVQTGtWURjWjUc1pVBCNCqZRLWhUSxrVika1plFtaFRbGtWORoXQqPY0qgON6kijOtGozjSqC43qSqO60ajuNKoHjepJo3rRqN40qg+N6kuj+tGo/jSaC/dfowbSqEE0ajCNGkKjhtKoYTRqOI0aQaNG0qhRNGo0jRpDo8bSqHE0ajyNmkCjJtKoSTRqMo2aQqOm0qhpNGo6jZpBo2bSqFk0ajaNmkOj5tKoeTRqPo1aQKMW0qhFNGoxjVpCo5bSqGU0ajmNWkGjVtKoVTRqNY1aQ6PW0qh1NGo9jdpAozbSqE00ajON2kKjttKobTRqO43aQaN20qhdNGo3jdpDo/bSqH00aj+NOkCjDtKoQzTqMI06QqOO0qhjNOo4jTpBo07SqFM06jSNOkOjztKoczTqPI26QKMu0qhLNOoyjbpCo67SqGs06jqNukGjbtKoWzTqNo26Q6Pu0qh7NOo+jQqlUQ9o1EMa9YhGPaZRT2jUUxr1jEY9p1EvaNRLGvWKRr2mUW9o1Fsa9Y5GvadRH2jURxr1iUZ9plFfaNRXGvWNRn2nUT9o1E8a9YtG/aZRYTTqD436S6M5sP3XqHA0KjyNikCjPGiUJ42KSKMi0ajINCoKjYpKo6LRqOg0KgaNikmjYtEoLxoVm0bFoVFxaVQ8GhWfRnnTqAQ0KiGN8qFRiWhUYhrlS6OS0KikNCoZjUpOo1LQqJQ0KhWNSk2j0tCotDQqHY1KT6My0KiMNCoTjcpMo7LQqKw0KhuNyk6jctConDQqF43KTaPy0Ki8NMqPRuWjUflplD+NKkCjCtKoQjSqMI0KoFFFaFRRGlWMRhWnUSVoVEkaVYpGlaZRZWhUII0qS6PK0ajyNKoCjapIoyrRqMo0qgqNqkqjqtGo6jSqBo2qSaNq0ajaNKoOjapLo+rRqPo0qgGNakijGtGoxjSqCY1qSqOa0ajmNCqIRgXTqBY0qiWNakWjWtOoNjSqLY1qR6NCaFR7GtWBRnWkUZ1oVGca1YVGdaVR3WhUdxrVg0b1pFG9aFRvGtWHRvWlUf1oVH8azYX6r1EDadQgGjWYRg2hUUNp1DAaNZxGjaBRI2nUKBo1mkaNoVFjadQ4GjWeRk2gURNp1CQaNZlGTaFRU2nUNBo1nUbNoFEzadQsGjWbRs2hUXNp1DwaNZ9GLaBRC2nUIhq1mEYtoVFLadQyGrWcRq2gUStp1CoatZpGraFRa2nUOhq1nkZtoFEbadQmGrWZRm2hUVtp1DYatZ1G7aBRO2nULhq1m0btoVF7adQ+GrWfRh2gUQdp1CEadZhGHaFRR2nUMRp1nEadoFEnadQpGnWaRp2hUWdp1DkadZ5GXaBRF2nUJRp1mUZdoVFXadQ1GnWdRt2gUTdp1C0adZtG3aFRd2nUPRp1n0aF0qgHNOohjXpEox7TqCc06imNekajntOoFzTqJY16RaNe06g3NOotjXpHo97TqA806iON+kSjPtOoLzTqK436RqO+06gfNOonjfpFo37TqDAa9YdG/aXRHND+a1Q4GhWeRkWgUR40ypNGRaRRkWhUZBoVhUZFpVHRaFR0GhWDRsWkUbFolBeNik2j4tCouDQqHo2KT6O8aVQCGpWQRvnQqEQ0KjGN8qVRSWhUUhqVjEYlp1EpaFRKGpWKRqWmUWloVFoalY5GpadRGWhURhqViUZlplFZaFRWGpWNRmWnUTloVE4alYtG5aZReWhUXhrlR6Py0aj8NMqfRhWgUQVpVCEaVZhGBdCoIjSqKI0qRqOK06gSNKokjSpFo0rTqDI0KpBGlaVR5WhUeRpVgUZVpFGVaFRlGlWFRlWlUdVoVHUaVYNG1aRRtWhUbRpVh0bVpVH1aFR9GtWARjWkUY1oVGMa1YRGNaVRzWhUcxoVRKOCaVQLGtWSRrWiUa1pVBsa1ZZGtaNRITSqPY3qQKM60qhONKozjepCo7rSqG40qjuN6kGjetKoXjSqN43qQ6P60qh+NKo/jebC/NeogTRqEI0aTKOG0KihNGoYjRpOo0bQqJE0ahSNGk2jxtCosTRqHI0aT6Mm0KiJNGoSjZpMo6bQqKk0ahqNmk6jZtComTRqFo2aTaPm0Ki5NGoejZpPoxbQqIU0ahGNWkyjltCopTRqGY1aTqNW0KiVNGoVjVpNo9bQqLU0ah2NWk+jNtCojTRqE43aTKO20KitNGobjdpOo3bQqJ00aheN2k2j9tCovTRqH43aT6MO0KiDNOoQjTpMo47QqKM06hiNOk6jTtCokzTqFI06TaPO0KizNOocjTpPoy7QqIs06hKNukyjrtCoqzTqGo26TqNu0KibNOoWjbpNo+7QqLs06h6Nuk+jQmnUAxr1kEY9olGPadQTGvWURj2jUc9p1Asa9ZJGvaJRr2nUGxr1lka9o1HvadQHGvWRRn2iUZ9p1Bca9ZVGfaNR32nUDxr1k0b9olG/aVQYjfpDo/7SaA5k/zUqHI0KT6Mi0CgPGuVJoyLSqEg0KjKNikKjotKoaDQqOo2KQaNi0qhYNMqLRsWmUXFoVFwaFY9GxadR3jQqAY1KSKN8aFQiGpWYRvnSqCQ0KimNSkajktOoFDQqJY1KRaNS06g0NCotjUpHo9LTqAw0KiONykSjMtOoLDQqK43KRqOy06gcNConjcpFo3LTqDw0Ki+N8qNR+WhUfhrlT6MK0KiCNKoQjSpMowJoVBEaVZRGFaNRxWlUCRpVkkaVolGlaVQZGhVIo8rSqHI0qjyNqkCjKtKoSjSqMo2qQqOq0qhqNKo6japBo2rSqFo0qjaNqkOj6tKoejSqPo1qQKMa0qhGNKoxjWpCo5rSqGY0qjmNCqJRwTSqBY1qSaNa0ajWNKoNjWpLo9rRqBAa1Z5GdaBRHWlUJxrVmUZ1oVFdaVQ3GtWdRvWgUT1pVC8a1ZtG9aFRfWlUPxrVn0ZzIf5r1EAaNYhGDaZRQ2jUUBo1jEYNp1EjaNRIGjWKRo2mUWNo1FgaNY5GjadRE2jURBo1iUZNplFTaNRUGjWNRk2nUTNo1EwaNYtGzaZRc2jUXBo1j0bNp1ELaNRCGrWIRi2mUUto1FIatYxGLadRK2jUShq1ikatplFraNRaGrWORq2nURto1EYatYlGbaZRW2jUVhq1jUZtp1E7aNROGrWLRu2mUXto1F4atY9G7adRB2jUQRp1iEYdplFHaNRRGnWMRh2nUSdo1EkadYpGnaZRZ2jUWRp1jkadp1EXaNRFGnWJRl2mUVdo1FUadY1GXadRN2jUTRp1i0bdplF3aNRdGnWPRt2nUaE06gGNekijHtGoxzTqCY16SqOe0ajnNOoFjXpJo17RqNc06g2Nekuj3tGo9zTqA436SKM+0ajPNOoLjfpKo77RqO806geN+kmjftGo3zQqjEb9oVF/aTQHsP/HCF7iV2jAn7/Or/sB+v/8Cg04tCfh2tLG/1nC+v73+wLzlo103bUPevTf75/cdkrMdeHsPm6ux7/97qJ78YeGt/uyytH/7elupk9SP4Ldzwb6/Ns7xOqcOpeH3WPeyfxv31lyb6aonna/UrvMvz1cn0i5Hrj237Hb/dvLbKrivyOi3UvUmfNvH/t8dtHxkezeYcD1f/v5pE/LBEe2e6mbycI5e4wa2SsXimL3EVu7/dtLju5VK15Uu/8Kvvtv737wSMNXrr15QI3wzr7gW8zgQ9HsPmzC/X/73ix12s2Mbvc0a/pGcPazzRZ36RDD7p6Ps3v822e+6V06pt1fjfz5b9953m9w0lh2n/Xutqezj/McNOqLa78efC2is5cqcGbiGS+7Bxd9FcnZ73Xwnrk4tt2jXUwcxdmrLGu8oFccu49s0Sqqs8+8vWp5lbh2X1rzajRn3+D1ZV36eHZP/b5xDGcfXzJg21/XfmJojFjOnrXXyL3X4tu9Vqs7Xs4+fN3lI2u97T7l9bk4//6ch0nODElg9+JNnsZz9iLeLS/XS2j3jD6pE/z7OQRuupXTx+5Rg0f6OHtIn98PoiSy+8qZCXyd/dq6Ui9CXftpzwtJnX1X6IT32xPbPffvzSmcPXqc29/G+dp9xbkjqZ39QLE0f4OSuK7XuQjpnf1op/YRCyW1+4GKnTI5e6xFO2PES2b3N/NjZ3P20RcixH/l2vPGe5TT2TP8qeB7KLndG4Y9y+vsNzLOSDUzhd3Tr01RwNkH13yYsUNKu9frOjHA2RMOzJyzdCq771yer4SzD1zVLX/S1HaPNC1hoLOvuHSgyBfXHmVSzorO3u1H1DJn0rieD2+GV3P2K0lrVFqc1u5+P33qOPvKYvNr9kpn99dRXjb89/U3f9GgSnrX/Rnyo7mzBw7NFZQ+g91b9gxs8+85s7hv27+ufVuf2x2dvceB452vZbR7vFMbejj7z1uxe6/NZPfSm0/1d/YSn+oNGpLZ7nFGZRzu7LmiLBtZL4vd/RdcHOfsi33fT8iZ1fX9lj44zdm7ZPGfESWb3ddf/DnP2fsVGDI/1LUPm9B/ubPPKnVu2fbsdj95tfKGf8+NignXjcth90Kf2u909pbVmm4Nyul6rvrfO+Tsx6qv2VMwl+vzFTbnjLOPqfr1cNzcdm8xbu21f5+j8kVOv3TtgYVjP3D2ucVGXTqYx+7ZGp189e/zmPvKzRl57X6/2PWvzu6TMumD9n529y1QMHw4syeP1vJ5qXx2Xz3zRwxnD3638V2S/HavtMErkbNvPvfr62fXfu7CoLTOfm5FyT+n/e3+snyVXM7er+94z8UFXPdDt75FnH1o+ZvRexW0e/T5kSs6+9L4qeJVKeR6Tib8XM/ZF9xomzh9YddzMnfR1s6ec+q2lH9d+7CSH3o4u085ZbwWYPfWczxHOHusn4E51haxe9nR/ac7+9mFk/MNKWr3Z80aL3f2aMXuBtQr5vp89Vi53dn73kpbOmdxu4f41D/h7Ddad6gYpYTr5z+z501nP/1xZ41Q156sXIRXzh6pU4QG20va/WO/n7+dPd/z8s3HlXJdr+GNY4V3vp4a09oElbZ74615Uzp7+h33OxUsY/ch9frlcXa/2Bl6xQ10fb+n8wU6+51GnQa+dO3da7Zo4Ox7Fu8ecbCs3S9UjNbJ2bvd8Zgwo5zdE0ZMO9zZV0epOL19ebvHPbdjjrN/zjh9XqkKruvy/cgmZ38bELo0SUW757pe7qSz5yiTYe1n1x66u2Kos1cp3mnL6Up2r/z93Ddnf5x99+5Fle1e5t7ZWBHM3svL43DPKnYfs798emdf9KD8qcpVXdflTfmizv588dSL6aq53uO7z9d19hs1793449oP97jWxdm//UgberW63e/1aDre2c+Oaf9sTQ27J4jRdZWz34654+3gmnbPMzzWMWdf3F9f69ay+898uR7++zrvlQnLUdvumbo8+OPs1TJN9IhSx/V9jUrs62H27EE3o4W69tCzD/M7+7rRKeJur+t6T43PV9vZi85rlWhcPbt3S5m0u7PXm7MxRVB9uxe+PmWas7ce+iN9wQau97LmbXP2m7WLZo/b0O7z3/pfd/Y43iP9Xrr2/Z/bfnf2XnsuFD7YyPW8ap4nkadzX5VLWGpGY7tvGTe1oLMHH2pUoX0Tu3sdG9fI2VckX169VFO7R66fcrCzTw96Wy9JM9fnYlGV5c4+ZkKeZp9d+52XSc44+50FfVqfbm73osNHfHD221MPd1wUZPcqJycliGj26yFRe/YMtvvF8IULO7tvpioDKrdwfe6Gjg5y9q8npw9P19Lu2Rf3Gevsq8veG/fHtc9YG2ebs/dbk3ra1VZ27/+14n1n3/C29dw1re2+6nzOKJHM3t9r45LBbex+d9T+XM6eNva31XXb2v12z68Nnf3Ou4Kbc7RzPQ/f3hjl7FdXD9oVOcTu5f1bbnf24iVOHLzv2kuuX/rY2avtiHFyW3u7J5o/KU5k5/MbqdqFsR3sPr5e9qLOHiH7jOvNO7rOCXkHdHD2dznu3ivQye5BAwcvcHbv6Cmfxunseu+MK3DR2SfvDX7zwrW/WLcyfBTnPVJy9ecDXez+Jff53M7+d9G7X9O7us4znda2cHbvq7kitO/muv93lJzt7LdvdY9aqrvdO9eZed7Z623eHTtJD9fzedlKj6hmn9fgb8LPrn3Hx+7+zr7mRrHkp3vafcQ4z47OPiTVsHSLetk97ZlqK5w9Q6GTWXv2tnvtsGahzj4ldfS8lfu4njOd/XyimX3vjYqF0vV13ScDz1d19hm1J5b449rDumcZ6+zeiy+Xu9rP9R5ZWfWEs6fZHr/amv52XxRcxCO62ddOrlV38ADX8zb89yLOPsVvZpO6A13n5LO9+jn77oW3WuYYZPd8iU/tcfbwFxN3iDzY7t8LPPvl7EWP1O9+37V/GHi5QAznOd9rbr9tQ1zv38IT+jh7hI93h44davc5R5Luc/Z0GZOObT7M7teaD1BM5/yTouGUAsPtXqvjtuLO/ura3NlxRtj9UYFDw53dO/DuoheuPcB76RlnP9HNd9WBkXbPUrVxnFjO99uw3sbpo+zeqeiX2s6+4u/MHSGjXc+HPEELnL1o7Rv7S46xe8yBG587e54W3sd9x7qez11u5/ByPkeZqp/75NpzNnvc29nvLJp49dQ41/N27tljzn7jzLk7C8e73iNdZ8SJbfajy6M97jHB9V4rXKqRsxfKWeZVpYmu51XpG2uc/VrrIR/TTrJ7gceVfjl76soHfoS59jdB68rGMfu20F+6OtnujZJ+meXs8RL7RV4zxe7VGqV57exHwjrGGjzV7mN7FSkc1+xlhq/xrjvN7pcOlp7o7Em2PU2SY7rdnwwr+MTZd49InibyDNfnK3Fy/3jO/R9WJ/N91z7g4qfxzp4y7uRc22bafeLPHU+d/ejx0/5jZ9m97/MOheOb/aWPR7Hms13vlze+0539Q6SCgQXm2P1rnX3vnb3AhM6V48x1nWMH1iznbfakG1fVeuHao255uszZP7Z80PDAPLtvL9EhQgLnHLgtQfD0+Xa/PORzY2dfPq1Cu5AFdk9zrMt+Z/eNMrhLyYWu82fdj0kTOvdhtB29fRe57s/JIf2dffic14M+ufYvh16GOvuXnclHnVps913+LYv7OM+HptUnLlziuk/KP1/m7KUnD5/RY6nrnFO2bbREZh9Wbtf8Sstcz9uhXzo4e5SRr5elXW73ZZWGXnf2j4FJ14W59vS/fAMSm73BmEpbr6xwXcebe5c7e5OKA/asXmn3jgVbxfZ1zhvjNhwetMp13uiavI+z9w0MPVVntd2zXn/8zNnX9ot1Kfsa15+/aXv1JGZfkqnwzUhr7d6jzqxDzt6sYtvQe679VpJxOZI658/HM59tXWf3VlWmLHT2RG+OvR2z3u7PS66Lk8w5Nzb/9KXZBtd7s8LdIc4eXDZZmP9Gux/ZkfK7s5efXdYjzibXz+1W/7bJzT6qRtdoL1z7UI+vD5w9rNv8OAc2u+6TEcNqp3DOXWEnfKZvsXvp7TkvOPulpx+Sh2y1+/pHv8qkNPvl7InSl9xm9+SNHh1y9mI3i2bz3W73hr1fFkpl9gd3W+b95Nozjoqzy9nbFRxf6NQOuwfere+X2uxzPm4psXCn63N37NRWZ0/+52a5Hrtcn+vpDfKkca5L/T9VK+12XcdF3tuc/UK0lHXT7nE9J/N980tr9lJRSjYJc+21Vmu3sy+q2qLllb2u82GF3AHpzN7zyYj2q/fZPVaHyUecvf7+ld0G7bd7uqBk5dI7z9u7J/vWOWD3Nv1uXnL2zoVfDMl+0O7zYhyul8E5792LNCbSIbsPbn73ibOH7U4z+Z5rv3MlQ8eMZr93udisrYddf/6GlWHOvjdVo4Vjjrg+v2Uajs5kds+VvVY0O2p3//dlEmU2e8ImU9f7H7P732+tVzl7rcD122Ifd70XNh0tkMXsPo1O7H1+3P1zqHvO2TfODz2y/4Td7w/O2DSr2UMifz897aTrrxvg983Zp02LebndKdfv/zRwbDaztymd+laJ03af/ClamuzO+Sdh/geJz9g94YRre53dM2KF5x9de7bEj2rlMHv2mI3fnTzrOg88zfnJ2a9k6fR1wTm7pyhxfHxOs8dvOjis+3nX533owiy5zO61YrJHpQt27/370Blnv/97UbS0F+1+9WfmdrnNPqnBxjhhrr3SpdCYeczud3yfz5VLdl975f5GZ7+c93Ty1ZftvrFappp5zd5i5bV0g664zmMLj/xy9leJH2Stc9X1+2OuXeTnnLdHv8yT/Zrdc7x9Ujaf2cd//lgw0nXX+3dih8/OPrj6z+L3XHtYYMX5+c0ee4XKbb1h97OtBpTzd97Xrz2rjrlp9wnFIv9w9iZJotZpdsv1/kr7bHkBsx/LF6Ox/227/wpKWrug2aMViNUi9h3X+bb6+iiFnPdmcq+Q5669fLHZe5w997NYXfffdV3fQY86FDb7yFEx+0y7Z/dJQSPTBph9bqTog9vdt3vuwuPuOnuiepFHlQh1PZ8bfJpaxOwLBkaYmPiB3Yt776pU1Oynu4dN/+jac+58FLWY2bP6f5138qHreT6j43Fnr3P0zdIFj+y+3DNoaHHn+sZ/vKb7Y9f1qrq/RAnnvZz+5uaKT+xe6uJAz5JmX//9zK40T13vu8trjzv738H7D/527YlWlRhdynluH9tw4vIzu99eXrqy87/3DN2z4Pyq565zadId3mXMPqDp+GsDX7jOUQ2n33P2o1v63K390u6jdz9dHmj2petbPs72yvW5G7a8U1nnc1qp2quIr+1e0Ot24XJmbzih4Me7rn376kHRy5t9R0jqH1ve2L3sqvm3nX3z06ga89b1+xvkWlPBeS9/fhex2Tu770sQ0K+i2YtMuRzD/73rvZPxSJVKZk92aGu82B9c596nh9NWNnuuXtMSP3ftv+YFhDn7pB1dU+7/aPfPS/JdrWL2wJ7VMkz75LoPy25YV9X5vnZky97us90Phy4fWc15v3SM6lfii+u67EoeXN05Zy58VCjxV7vHSe9boobZlxXfXeKja2/TZ3aqmmZ/Um1iuZPf7P408gKPWmbPey6o6oLvrvszWaZnzt59Xb463X/YvVjswqdrm73P+yiNK/60+9LstzbUcZ5jE24Gp/nlev+e14y6Zv81Ynm73659SuHNA+o5+7XOXS7/tvuCCx9b1zf7ia6Fe68Ks3vs6wdqNnCeG00iDRr4x3UOWZy0REPnfptybkTtv3ZPNiJGrkZm3x5tyvhsemDvn2vjUjU2e8VDtaZFDGf3vfcXx29i9pubfebede3NvlaI0tQ5X92+uXhLeLu/bjPuj7N/yDNj1egIdveZFPylmfPz2Vt9Y1MPu6/cdf1Nc+f7bRdrR35Pu9f3e/QsyOx3ip3Y5xXR7h/rjHoU7Dw//foffebaM3Y5F9rC7JVK5z6zL5Ldj1zfcL+l875r9+zS1Mh2738tZ2gr5xy+dMbNtlHs7nuoxsPWzvPnZenQ4lHtXvt1oqdtzB6Q78vTRNHs/mnZ4FdtzV5w5II3H1z7muITP7Zzzs83Aj+fiG73YvFK/gpxzocpP/ycH8Pu3Vsv8Oxg9lRNpoXrHtPuEWcsid3R7NfH549cMZbdN7ytmqyTcx1X3oqZxsvuuQ+sydrZ7GdW9oz/27VXarg5oIvZE4z29r0c2+6HErWs2tXsk8tsTLkqjt3Llz4T3M3s2e4GZhgY13W98jzo093s14qHZqsdz+6z/FZM6WH21t275M0W3+535qVc19PshztFLBTR2+7Z9lY52ct5/mSfVvyua6/0OO/T3s65Yk2qslsS2P130GWPvs458P66yqMT2v3z5PRp+pn91FG/Wk197P51v1/p/mZfXmdfg/yJXPdzgfBtBph919Rizb0S2z1anZETBjrP2y5HWj9z7XNands+yHn+vy/ecZ+v3bPsvxQ62Oz1PA92n5rE7n1XT4821LlP1hTo1zap3QMHJM03zOyZQzcPKZ7M7pXHtwwebvZZszOMTpTc7hUzdp82wuzfb8yZ+MG1h19c7sRIs6+bFGPGiRR2T1/u2a9Rznv2cO9581PavV+XcjnGONe3+bMl3VLZ/WCHni3HOuecjpVXV0ht9/UTOy0cZ/bbj7ZtTJ3G7h4Z8t0Z73z92xLt+OXa+444nXCi2Sc87L3vUlq73wiXtdYk5/nf7NaRlensfvFp4+mTnedqzrynB6S3e5qRQTenOO+pwPEXa2Ww+wT/Qkmmmf3k4ifXs2a0+4XyL5pON3sX//z3PDPZfWHsNqtmmH1npFGP77j2/bcOf5rp/Bw8b7zcnNnuz398Ljzb7O+zpPowKovdrx74O3qO8/nq1eZbk6x2Lznwya25ztfzZENYvmyu58CY5Znmm/1Hy08RvLK7Phd5SvdbYHbvPzmjPnPtP84cvbTQeX7Oa++1L4fdTyxJnWGx2ZOWXOk9Nafdj8YMGrjEee+8vO/bNpfrOVN/xO2lZp8+Im6q4rnt7hc63m+52VP6lMiQKI/dU73qM3WFc86Z2jHbB9ee8XzlLyud59632XlO5LV75HvRzX80Cw34k+9wgfl+rudVq0271jjnlqrPinbL53r+HC6WfJ3zfi8cuUyF/K7vt+D+4eud89iXNBVT+9t9YPoMHzaY/XnHItV/ufZh1wfW3+Tcb2tq1b1UwO6HZ586udnsr+e2abyyoOs5cMwj/1azdyjSJ3hAIbtfWpVj1Tazfxkzsm2twnZPMLNqkh1m39hncqesAa73wqOWk3aa/WzkWT08i7iek7e7Rtlt9rYZ5/a749pnX+41aI9zrrg1Z8jmoq7r5dszbK/Zx8SZOWpUMbt/j9yp136zpzg9cUKT4nZ//yL4xwGzB4UNm5avhN2bx67T65BzLlrUY06sknaPdTEw7LDzedkUvOipa1/dy3/QUefnn67Kir2lXH9+o8xRjjvX/Yffuiml7T7jUvJJJ8x+N0XiLW3K2L1eap8kp8x+f8bPncUC3e8771Wnzd6x1rX9PmVd7/c1ifKfNXvxmuuOvnftQ4amPXXOuX/GDjp9vJzd3w0p0OCC85z8VvXivPJ2j/O77seLZp8zKtn1rhXsvqTgsJGXzT6vyPM75SvavcGMfSmvmv147LUPU1Vy/Zwbe+675jyXvrZ7/tO1Z3xer94Nszd/lvHtxcp2X9v/8M+bZl9159GnFVVcn6OehebcNvveczN+9K9q9wFpTwfcNfvLrYF/a1Zzvd9vtntyz+y9R331yFrd7jkepR0bavY1JeZH9azher9P+5b3odk33Cnudce1dy/+4OEjs28q+zj+5pp2L1ToyYQnZj8/bEDiUbXsHvOqR9Fnzjl8ZMIUTWrbfUH9op+em31t4Jq0+erYfVWaOctfmr3XgQKZY9W1+6OB3g1fm73fk2M5nrr2cIc3er913qcbKvjtrWf3Xf7tL74z+y2fCwWn1Hfd//6Vx30w+9uEFYu1aWD36/FqVvhk9i1Lj5cu1tDuyxINivnFOS9tL1jBp5Hr+Tz36sWvZm9aem3V96696vsq07+bfVs5n9rHG7s+j82+N/zpnPf2DGgwr4nduwWeSv/b7HMnPmratanr+fzpxOcwszc6VLRl+WZ23735y6G/Zm9Wana7VM3tPu52lcnhwoUGpI//vtNP135iz72gCGZPmbZIj4tBdk+ycq6/p9l3dRjdd0Ww6z75OD52JLNXen1xUP8Wdn/1YtvLyGb3mxB3RM2Wdj/7IO6xqGbfXa3y2CytXF9/phWLo5s9cdYRkzxa2z2ST9fBMc0+xnv39Nuu/cSv3kFeZvf3eDFnUxvXezbNvsA4Zi/1NvaikW1dn8fnBbPHM/ux03mWN27nOodM/ZHQ2+xHJldf4xdi97j9vkRIaPZihUI2xmxv92+fc3zwMXve/YO2PXHtTcttCE1s9tFek3bv6eD6XFzueCmJ2VOnn3Ngcke7T73b/Vgys1/9veBo606u88yew3tSmL3t0AWninZ2fV4O1dyayuwrd8w6n7CL6/oG5NyQxvk6x46/8s61vxpWa206sz/60e/msa6u99SL42symD3Ll5b35naze9adQ9ZlMvu2rhUedenuOoeUHr8pSzjn7xvJ/LxcD9f98/T5jmxmXxLq+SZlT9fz7dmkgznM/nf7zQ8/XPvUOePO5DL7kLfLv17oZXevWndv5jH7pF4dfi3vbffjLQe88DN7v6q51L+P3Vul6vkrfzjn7y9971Gzr92X3zgRq6DZo+9fHiVLP7tnv9UhbWGzJy9SJ6ZHf7tv7dkpoIjZvz7xiHvbtT+KfL5uMbOvWbYqwaYBdm97c3iPEmav3qOs78iBdv9bcN6MUmb/Uvlx8saD7F52aNzdZZz7Nm2PNH6D7f4rwov7Zc0e5Z1nxphDXO/lqMkjVTB71QVjsz5x7eVf7cxeybm+2WPl2jPUdQ7/tr1+FbOvmDLKb/Iwu7cYkHh0NbOXOfy3QOvhrufMjSe7a5j91saQIkVH2H1n5YTvajk/t5rXSyQcafcyBbakrmv2gUvzB75z7etf7Kpf3+znpk6tcGyU3WeuzTK9odn7+76qMne03TfdiHGlsdnjZ/Ov2WWM67m9p37cZmYPf3hQ3XJjXe+11YlrBJl909kjDVOOs3vol3IzWzh/fgk1++Hae759e7+V2ff55mlxYbzd5z31zNDW7FvKNWuzfILdw7JN6hJi9rnHRrXvN9HuRX2nHupg9mWDVneuMcnu8cNixe3sXN8uR7tnnmz31Kk9gruafdGkG70jTHGdHx512t3d7DsuPO5/y7XPH90gbi+z50v9cvDGqXZv1P5ouz5m9xn0fPiIaXb3DF19qp/Zi96/P7rRdLv7Z4uTcaDZJ2S/MD7vDLuvWPdj9GCzX2+9c3KMma7zw/pm74ea/e6g2dMfu/bLQ6rUGmH2uu26zd49y+6P+x05MMrsf5KWnT9ptuv3v9ubeazZ24zxXtxqjus+zBAwe7zzfa26vazIXLu/6RMYfZLZ37aduSrBPLu3LHiv/xSzxzhZad1b1950558v08weefOfjUfn231wyTUhM81eItmyrXMW2L1TzucvZps9SfhSOzsvtPuNi5tbzDP7w0r39pRdZPe6Xb2eLzD7ld8hB1Isdl2XkL+tF5s9U9i3w99de6VYg94vNbtXyZ7Hzy9xnVdXzuyxwrnuJz6eWrbUdc4fWzrCarN/6t38XN9lrr9uzLET1jqf92rnLlZfbvdsfdsk32D2O0WzX820wnV+y/R40yaz1y846kb4la5zVJvvpbeavVXeO7dvuvac41be3+5c91Rp729Y5TqvPvnec5fZ239v8XD4arvHPvzMe69zXZYvfNJwjd379Oi+bb/ZI6S9/DzPWru3rrWy9iHnuRT8+1X0dXbvv7Ff2BGzd6yf5N0j197wxvclx83+6leej7vW231lEp9Kp8I5/71TqS8TN7ju88uhv86Y/Z5Hxe8tN7rev2WrrD7vvKdqVPgVsMl1/rnSpsElsw/zLfHHe7PdLxzOEeeq2XNWzBnurWs/3GrJyetm73I3gcfRLXZ/n+Do4Ftm77v3c8Q5W+3+I9nUInfN3vnBiSidt9m93+X4CnW+34JTopfdbveUQ8ocemj2QQdrxkqxw3XfDs46/InzfG7mFee7ay+R6mTF52a/Fv9gvPM7XeeQrT4+r8z+8VTLBMt22b3BqBRP35j9RtdIifrudp9DHmx9b/ZqUeb6Vt9j93al6o/45Jw3emRIlmmv67pcmNjgq/Ne3rImRfh9ruv7eHCeH865ZVPa1Ddde5Yrubx+m71xs+lpN+y3e+kPi978cT6/u/6kH37A7tXHXjobLrz5vKysn6nhQbt/+nF4g4fZ76XcmCXPIbsfGNFjWqTwznn7d7boh+1eZ/SHflHN3nhAoZyP3Hu17K1jmH13ma65dx1xfV8589b2MnuGoMV5Jx61e4ReHoFxzX73+PF8LY+53u+95xT0NvuPpg/9A467zp8j/+b0MfuM9J8Kep+w+5HPWTP7mv1Q1J+F37j2XzEzp09m9q6/vhY5ctL1/MnwPW1Ksy94/aLY7FOu6zVtSvo0Zk934VKJTqft/nF5+CzpzX5/+sZSgWfs3mRd8dyZzD4xz7Ayyc/a/d6v2oWzmv3LrMplv7n28A+Ll8vh/Hx2epU/d87uwZs86+U2+5DBxyosPW/3Rfvmt/Mze+iLjpX6XLB7hdpxB/ubvda9OFWqXXSdcy40mV3I7A2rrqya8ZLdK/cas62I2Zv55ake7rLdry+dcqW42Q/021bjhmvPuLT3l1JmP+aTpdb6K3a/f7KYT1mz7/gxo/awq3YfG/QqoILZT8b6WafBNbufPNmtVWWzJ6tQuV7u63bPUObp1Gpmv7podv1oN1zv95wFjtY0+7dwdxo8dO3Lb3b7Vsfsg+rFbrTzpt3fjp+VuYHZgxYUaDzhlt1XL1vevLHZhx2s26TFbbt3bD9/fjOzb18f0rTwHdd7s8Dgu8FmP1ive7P4d+0e1KB60tZmb7CtS/PXrn1nmnhN25k974bgoMP3XPfD08MrOpj9Vf4KwbPuu55j75t/7Gz2qCXSt+gYavcv074X7m72BPu/tSjzwO4eGQeM62X2obN3t0z20PXe+fU7tK/Z95zs3Oqra+/foEPegWaP45+89dlHdo++8Pa4IWa/fOdA6yWPXeeHBEVeDjd7gUU12vR+4jr/x51fZrTZe/a616bqU9d58smPlePMvrZGvbYZnrmeD/erxJxk9hepzrTVc7vXrLai61Sz57yavd11165Jf+7PMHvfOiPbrXvhOoe/qVFhjtk3L7jabuhL13th2/q9852/7qz4IfVfuT6nATFyLDZ7Pr/AkFyvXeeNW+2XL3Oeb8EdQqK+sfvB6zeSrzL7Y+/RIQ9ce8jIwLlrzV47/8yQHW/tHrHoYd+NZv+1Z1bI+Hd2j1e59PwtZq82cXxI8Hu7J498PfUOs19f2j2k0Ae7b9/Vee1us799UTUk3kfXfbIzaf79Zn9fPkXIK9e+osbN44fMnmnfw3aHPrnOtw+W1Dlm9puZp7eb+dnu2dcOenvS7OlHFG7X4YvdB0brMuys2fPvv9G29Fe7T6jQK8VFsyc5GNQ26Te7Pzkybf8V5/PY50mbL67d8/Cpxjecn8+DWm3OfHed52cm8Lxj9pF397Re/MPux2b2W3Pf7AGN47Xu9dP1uYsfrtYjs5eo3bBVlV+u51WDBR7PzF5ly6yW6X/b/euRBltfOtex2ckWf137rdn+rd6aPWm1l8HXwlw/h9z5kn80e5TOYUFr/7i+zvu1bn0xe6WN4YOG/HWdz9/Nmv7D7E1+/2hWTw/tfbUlfO0ws88v9qhpznB2zzpoQuJwEcxzoNO+JlHC2z14RcmHHma/13N041DX7tsz1ZrIZq9Zumyj7RHsfrlkpp7Rzf7mxM8G4zzsHqNxw0Avs29/Pad+kKfdS/vs841n9v0LstcrGNHuEQ6X+5TA7GGXttaJG8nuB9ZFPpvY7PU6Zq790rX/yvJ1ZTKzb2k1pebByHbPPSn+qFRmv7ryTfUZUez+PHPLdunM3itZvmrto9p9SqV31TKZvcqOzlVKRbP7jnJrCmUz+68mCyoliW73M50WZMxldo+o+yp8du2VvM8m8jP7u7lnyp2OYfc9w3PFLGD2rNHOBC6KafdxCa96BJg9ZcCe0j1j2T0g0eY/xcyeNN3ckpW97F7u3rlfpczeYkNI8XSx7Z5+W4bfZc2e/UT2on9ce/VPR/5WNPv8eo8KX41j9xLPFkasZvZTtYYVXBPX7p0eHfSq5VyvlT7+g+PZvWb+tEnrmb1h4bl+dePbvYX/hayNzL40fOw8ObztnijfwWLNnK/zUZeckRO4fv6Df9ZpYfY2Z09ku+/aS7Xv26WN2duujZ5lW0K7ryxXblJ7s8fpUCTjWB+7D2sdtLmz2b+Ha56ueSK7V0ly9np3s6+u1D11gcR277d18N/eZl9csleKOL52HzhkVMYBZq90oW3SF6797O2HtYeYPcqdiokPJHHd59HHjRph9mQ1kiecntTunq3G7h9j9jPpHsQLSWb3a0Uffptg9oAiE2OXTG73rc/H5ppq9qmjssf0TWH3eOsndppp9tsf90X95NqbPH27Za7ZvYIKRjqV0vX5Cl32c6Fz/5xdEWFhKrsPfbOr+DLnPvT2UI/Uds/fOPOEVWYvlbXi74pp7D5t5O/768z+5M+w72nS2j3S7sy5Npu9T5d1n3+79rCS+0ZuN/uqXkfeX05n99Demx7tdj6/v0+8XpXe7knWRS16wOyfn+5+PjCD3VNkPbHwiNn/ppr7uHZGu1er8NrzpNn7zm8bmi2T3ZM16NHurNn3lMh4J+L/Yeq+46n83z+Ay4wGkSJ7R1KIKBwjK5uMsopQZmYK2YkQMj+FyN5EiKiMlJBVGXFEVmVkltHv8v3j937/+3zcj/vc531f7+t63RyHMPL5Eqcv3eCb2/2fv2IuFN+h8gncqdalt/I4tg4WKTWD4MKWa533RZCHWPQcHwVXH3J8b3UCufvkrZxx8DdMH1ukTyK3V43lnga/S8r1mk4UeU8Pc+ZPcLdgy/opzPcPHuRbBDe8e7+6QQy7XyXBhSs7/XMlqyJBHPl/GXYSf8Gn6guLHU8hryB/82YbfKwlPU9JAuvngvEGZOSw7zYCnh6RRO5xeXSKCnxNVSdtEfNvG1n+e8E3E2hS2k4j/6o5eeQAeE9XxcN0KeRNWVm1jOAto6rRXtLIVy+MmR4Bpyt7d0/rDFb/Jam7OMCHhaSCec8if002VMADrnzmod8G5oez/zM+Cn6hbfBmjwxy8YmvVMfBSRv3u+XLIveiz6kTBT+9+4RjgBx2fwOX3STBP0SdtTUmIB8OfH/8LHiY9KnLIvLIq20EfxLAuVaYLlEoIBe4Q19yDlymYMZgGPNQ1jB3dXA3xRytZ4rIhePuyWiDK+Vqq0YoYfVzkonaAFzgzTf5K+ewPqB2esAY3N/X6oyUMnI14akiM/DUxg5xWhXkwcKCIVd21t+D9/gk5g3/bVvYgvOH2vK/VEWu3XZN1gGcOPCQI14NeRjldY4bO+tpVsTkoI68MYeEwhP8/nLpAcXz2Nz5e3LuFrhtZBoNswZyP/2NwTvg7nu9yRYwzyW50h4M7mMus9mqieUHI+vGe+BS134sp2ohP55FVh0FbsgY+stDG1tPGaWKOPDrWtSTGjpYPnHhKU8C31q/OcKti9X/g+xnj8FDSbo//cG8++f72oyd69c82PVRD3nqQHxTDvhKs8LbXH3kIznk3YXgXvoXG+8YIJ/IZvlWBn7466VqwwvI/woMrVbt7CNNlVJhQ+TX75yjrQMXi2DJJTNC7v/X5Ngr8GrfwbRBzIN/MWu0gN/aG5xYbozln7x7zu/B9bkYo++ZYOfxy0noAt/7NCbU8iLWt196vOoDv3JrxVfyEvL0muW5AfDV+0oe+0yRP3gtwDUKbvXmtsME5qyCtMYT4ILkj6zqzJBHyBfFzIA3SmVdjDPH+vNFks65nfVXTdS9boF5817aZfD3h11V5S2Rt/f0GPwB74g5JXf4MpYrPhk83gavTyGemsNcgjN2moyCSChj9jzWcgXrb7sipajBq9YWuR5bYXXSrhy5H/zNEWMmd2vk6l2N4wzgDdez9p+/itzMYkOOGdyvfYCcywbrh+/+pLKDN/Gv/V3DnMa6noQXXN5qc6HTFjm7zzk7QfDEqzOT2XZYjrJ+2C0CrnewYdj3GvKfjgWEU+C/jG/3GFzHctRMRLk0eD8je5uQPXIWQUkBArjVqfyXuxzwflX85Bz4YArLsy+Ye0r/ZjsPfkPYM6/UEblcEUW6Dvj5nqrUu05YPxSY4TEEv+n6Nc7cGTnjVmrRJfCV+R9hp1yQx/jxSV8GfyY+5rvnBnKTvwHvbCh2Pqf30vUb5lnN5eYO4Ocy/W1rXTE/XrtyAzwl+ahpjBvy+3eTY73Aj/2o1rFzx+qQU0/UFzza//g5OQ9sv2tO9AWCK50Nl2L0xPK2mYFvGHgNWbvwT8yXnqQLRIGrNfzmbPJCfszh/ac4cIIuCeN/N5Fb7+0PTwbvTVva7eqNvK3/lXwauNCDD5uqt7C8yvRg4ym4CeX9BfbbyFv5FF7kg5vPiEysYF6p/cW3FPwoW83nDz7Ib04YKlWBJ9zlb3/qi/y0VN2+OnBnmtsNt/2w3PWIevgVuGNURbneHWwuWCiWtIKLLndlHfVHvthjG/IBXJ+nJ+kf5oLnvS16wLX/1UR8CsDqkNFb5gt4vGOIX3Eg8h8hduwjO/tI59SNkCDktbOq5BPghpFtVqbBWM5POjI3s3N+KgVDsRDkA8PEoXnwB1mpqtShyB32PO5YAedXG5EmYn7HQ6tpA5zhE6lw9V1svlxfrd9FSSQoiu1hjw5DnnQm+QUVeIT8Gq3NPeSD0qfq94E/m2jdJROOnLam/TUDuDPp7SX6COR6lJfbmcEt/ei+z2D+wvP3Fw5weumIT6/uY/VjHDLLB76LeeptUiTmm4dIhMETSQRqnaOwPFlVyCwGLtCrXqAcjdVPn9JpKfAVd51HrA+w/FxANJEDP9F6OnIJ8wdhwXfO7RxfROr3PgZ55MvjeefBtfaUOWXEIjdPJfbrgp9sJlh4xyE/6J1KZQwe9KJcW+chluvSbGTNwQ90UxD447H+Y3XmpjV42uzZE1uYyx5kq7oO3jNjwNGXgPwoBe2aC/i5ci3awkTkSncPyHqB+/AI/gtMQp4yzRfmC/6de3LOJBnbF35a/UHg32JDRk6kIOdPCBcIB3+pT95J+R9yl8Ahvwfgxao2L79izvrw3JcE8E/6uUWVj5CLsrRKPgbXNHr/6P5j5DX2V1IywWlOdUZYpWJ5r+cwST74346KW9JpWJ/JmrUvBV+j8L5Gl46c8+TQQBX465dsxlOYJ76d1awH3/P5qXLDE+RRdUea34C7itOcSsjA8oC5I+EduF+lLrdjJnLyLWJDF3j22Zt0Sk+RB/68pfhppx4K/LaZs7C85yv1fnjnesasfy5gvrzFZjQOrtAkOPg2G/n462OTM+C/T3S9TctBrshsfXsBfHb3hSrPXOT7DVvo18AFT9RkauZhddJqULoFnhq88YAnH+u3L2l1yamIBM4pNr+/mOdE/l2mAb95hsO+uwDLG8GMaQfADS3+GeUVYrlx+YoGE7iJeIOSfxFWzyJjm+zge/8zPWlUjNwrJL6CD3za7TPr8RLk8ip+jsLg2mmi1OSlyOlaHguJg0dvXl8ZxLxPb/mnNPiEU8BYeRny27Khz+R3rr/Ho+NeOfLfX3TvqIKb0ajWWlYg5/M00dIGj1tZzZJ8hnyXdSqnITiFR0jMvkqszpc4103Bo2zmfSYwv3RzotcKfD7/tF1dFZbnCTPProMPcprrxz1HTkg9mXwD/Ee+pez1aqzexuoCboLn8RKOytcgnzSNdLoDfvfGBv3hWuQNFk8tQsGnHOO3fmHudob0QiQ4/R/q6eYXWA4nFGg9BFdcNu15VIfVYeNjjf/A/5ONqHerx3L1niGtDHD+yvgc9ZfIndxtL+TtrL+kTwxnA/I4NXnLUvDaLNnba5i3D113fg5+a3jIurMR+arfROBLcGK9oVb2K2wO+penNIOn8BZK+r5GHirWU9UOLvV7iMPgDdbHJlU/9YArkE/vFmpC/u8nw8YAOIt01yJJM7bfE0/zjoHzusQOfsb80KlKvWnwRyEiTSUtyJ0P3Q+eB68wzikMbcVycvTL2lXw4Nb1h2ZvsRz1U3N5C/xgKZ+veBvWB4LOiFPsJhKM54Wv0rxDLvUkzGsv+FGb/ZpjmPckSjQwgOvNvROveY/lyWplGhbw0GuWLA/akXfo1V7iBrcq7yS1/YC8qTq2VBDcM+fwrEwHtk+lP+4WBRfnO9PN0InlvaNetlLgWzSSNbOYL/SFtBHA2ST2pL/uQl78YEtEFbwroDY0+SPysPyxFO2d87fLO7p0I1d2F6M2AjdZfKKv0oPlWNlFX3NwqY8DUmy9yO0ucqxcBa8694N9GXPNww2ujuBPjvWTt/chp2/r/O0O/uxK0mxGPzZP6/W9fcDjm0Q/en/C5pGyBmkweP/xrCqdz1j9VNTGRIAv+M79x/8F+X9G6Txx4JpRdAFbmL8I2HqRAn72LI1N3wByhqB+o4zdO7+/HlIvHERuVnh0LQ+8hBgsEjSE/LzW+qMycKcYMoaLw9h9qVFWrtm983mJS2snviIfkqVfagT/vhI2RDmCfOy4ZfZbcDPryMavmOsMHDfrAtd3s3taOYq8N8b/8Gdw122msPtE5MzZhp9HwDXGn9hbjSH/YFv+aBLccnNbS/oblg/546/OgTPyiYvSjSPnlvgnugreJCV7cApzxvElsm3wLHq2tZcTmAe6D1JQQw6J6hmI/47NL0v/qn3gMaHm9Q6T2L7rYkpgBC/pe5mmOIW9Ly6FW2zgXEZLAczTWB/L+XOFD7xxYstqAXP5EiWd4+DKpl/PvZ1BPhPOqSABfjE+lj9tFuvbEbGnd75fMtb+yG7PH8hP/UsSUwa/VnNzRuMn8j1nJMS0ds5vkv+e+xdy3vv2kobgPrylhX8wP6wkTTDfOX7tXuTHOeQ+FZmaNuDtBZJOufNYnxfMs3ACZ2Ou0bqzgM2RP+c9PcElWfeJGC5i+8U9MsYPfCNKYr/wb+R/vzuVhYLLqInOkS4hP/50oS8KvJKXpHMAc+kNxu0EcMqtjOKyZeSFcqPH0sBfFxyKCltBvq9ByyIH3IzKwtFiFev/76wSSsDP/rypIbGG1VsFR/dz8AKxq0J715FLvgs90Ag+9oybehzzcvNEo7fg/9SeTdX+Qf7qlf6TLnDadsbWmL/IpxTr5z6DUzGcz7LbwHLRqT4FInjrH50guU3kdyYfpUyDHzQRuMy4hfxn3sHVBfBMyo+yPzF3+UAw/gN+YESdpWkbeVAG+8tdNETC+PP49ZR/yJ94VwjQgEdeL+u/QTKO6jNzM5Ee/Grn4wrVXciHnbdpWMDLXl58wE6KfFKkNpgHPJV2ymEF889iIruEwc89Pqf2gQw5R7tF8CmanXzrxvuUHPlJNU0aWfCiFheS2xTIff6uJSiDi9DLDutSIncWs+bXBp9eH6gWoELuJf+gzgg8RE/l4Tbm/zz8DC3B45YCnft3I3fjPLFsB/7geaR6ETVy6YfZSTfAR1xteYNpkL9g+0a4Bd61uf/fxT3ITekmfwaCp4jcHTi5F3lgXUVaBLjlSPszqn3Io1zUDR+CC42PRo1gTvQtpHsMvsDwxq5qP7b+4oMfs8CjVd0UImkxn/iUUAzefmHhiDUdcjlipuVz8Iv0MsvSB5CbeRFEGsG7jQw76OiRx6wV72oDr14/mzOFuXjl/MBH8Jud83caGJAnb1JUD4DbltwwTjiI/DDX7+Rv4C3ODSccGZGTuFX573zvbf33L1RKh5DnEvQclsHNZhpHmQ9j1znYaroFnqnjXr2AuWPcYT3KPUSCy9zv6LdMyHlqzmnQgsc9krNNY0be9UjnPBP4G2EjWc8jyGuipLW5wB/dlD6oyYKcb4TMWAg8X296lpsVucXX0qvi4GYxVq//YJ47JHdTBnw/dV7SRzbkSoIV0crgFLE1TrnsyD0O7SnUBrffeqh0hwP5raXzH4zBDXnOMBtyIo+jc/99Gbz5c8HcMS7kGy9D2OzB0+a/N5FyI/+lEajlDl5O+JE8gHkWjX2QL3jd4xdOZTzIjc7L14eCXxwyUAzjRX7GlGIjGpz54/NDFnzIg6NeyCXv2fk7/fHZU/zIbUSvhGWAlx4faNgjgJwu6W9fAbgAITnuG+ZV++8JVIKTmXDa1h5FHjBN4/8S3FjTVTpGEPljj5ChVnDehYi9dkLIT5OtynwE1z3sNCp7DOsDE5efDoAXJxyuOCiMnf9a6/5x8N9yESE/MPcdFfD/Cf56stnozXFsn6bcXV4Bz7789miKCPK+yXHnf+B0AbF/XU4gdz2sMLd7L9QJE88HlZPIg3zS3ejBOzd9UtlEsXqzJtlkAY8heey8jLkbu00EH3j1ahChXQx5yFYn2wlw+YqTdJni2PG6hOdS4Acos4nep5Dr21UbKIKvNo+W6Uggl4yTWtUAz35NDOCXRC7K1ZxquHfn78JydbcwN7hqet4S/E3DKc6+08gLC/9tXAPnvxo2XyCFXFm1osINXDY2vSFQGrlwmIezL7gqk1+UyRnkdnWqJ+6CO7ZzmJ04i/WNU8dXHoC/8A0TopRBvinP/2rne7EFt5+tD2NuLnYq5il4Cld26zNZ5PwmJjbF4N01l+Ij5LD6J40nVIMHJ/RduUJA/jNgmv01uFI4/QkpeeQTPMZk7eAPbQ5u7ldALnV27Gcf+PDGQNt3zMcO3RsaAXdgs06oV0TeT6nVNQ1+61HplYdKyGlMRdt+gwuoNh63P4fdX2vJ1k1w38XYP/LKyLddzN9R7iMSbBwEWg6rIE/7mNtNB14X6h8zhzmh/9DoEXDZA/+Ztqgi/9BRuMgLHjfixf9YDZvLNNeoT4CrNzAuuqkj1xvU5JcG/xLgVad+HjljtKmaEnjqanIopwbyK54JLlrgX+d9ddYwP0TceGQM3irDzdypiZyBPabjCrhL8b1vWVrYOvsbkDuC9x4oK/TRxs5voCrvBf5JOtlDXwerq1nHwABw5RV5WUFdbF7Et7yNAO9jKKAg0UPu8ESfIQGc1aa34xPmBy0Zr6aDZ9bUJxTrI5/noH2RD9711cY8xAB5p5gCYyX48tNOXtMLyO9MFXk2gGsMrv4QNUTeEWUw1Aa+pDNSsdsI2++ekiq9O+fpDbk1irnznNHzr+AEiVnCc2PkWmrPj02DFyjup4wyQT7bY5jze9/O58kX2q0vIqcckeTf2qmTx7GxZy4hv1x7qZBqP9T53QWjA6bY3Kx8I0EP/stoH+s05u85brSwgvMNTxEbzJDrnr96SQDcZ8I/O8EcOVnIk2VRcBa5/uuOFliuYOWPlwGnr546rmSJvNV6VWrne+1N2aoXmS8jl8mnH9cD75FTqlrAvFjGN84MXHbmvvfbK8ibnU6p2oGrz8acTbNCfiJSZpcbeCSt/raHNXY9UwmvfMF9+bteaVxFntOlEBoGHrBJFcxtg+3Hhwo6ceAjFpvn/mCuEpLIngreeqSI8qMtcvYFhaVccJ2tQ205dthcEFDuqAD37JUJ97uG/I93RtFLcDZ7tvMXriOXkDCJbQNnjK6hOWaP9Y1Ce59e8D1797fvckCuemzQfgT8vzK2+18wVyPPs5wBl1ebOl/qiPWlu/0Xl8GvptvT3HVCfoTk6sV/4IZBue/MnJFTv7lgQUML/fNl6j1xF2yfsuRfYwTXZNVSpbmBvMTUypsT/IZDFcUY5l49gVHHwBO8PjVVuyKX79qdJwkeQV0WGO2G5diM9bcK4BQLCgQbd6xvJ+v/0gR/snJ/86wH8gZyJiYT8JHvUbX0nsj/O3VezRpcIFLVawbzxZuzfs7gbc9qxF55YXmb/W/NLfANgbG5xJvIV7xu/wkB//LsVYGTN/LIbkdCDLgVt7HtuVtYfvDriXgEHiSXxcVyGznT+6KhHHCq3tzhRcxnKbdEK8BzC64ktfkgvxDcHPUSfPNBt166L/JX0eTzbeDhWmt7vPywdfNuMOwDf17c06J5B5vXMUuvR8E/3rb25/FHvsybLf4DnNY/X+ov5up3+wpWwe+HZC1+DEB+lyxYgJQO+rDhhYLcQORUP8vz94Hz19VY3QlCzvvASpQZ/K9/9xHDYOSnZBIbeME9ndJ6joUgj1DU1jsJflKLI4I0FLn34v2Zs+D50wYKA5jrJOuGqYKrU8usl95FbnI3VcgA/KL355K7Ydgcp/HotQDf+4/PxvweNh89+wPtwb1tBVhOhWO58WCThBf445tDH2kikEtLyc0H7px/Q+HuGOY3T6iVRIHffnHpbM19rP+rf3NLAS/141uIjkSe2r9PNhs8Yl9mlk0U8i3uD3vLwcPEPprIRCMfDGD/Vg++u6p0L8MD5PZylC/bwPXN5V/NYD5SEJLaR/e/52X3VzHIrzM+CiaCfyZ48CfFYnmy47zLT3AWmsMDTnFY/+FKuLwOfuaI/f1zD7F+eMXHmPwAkbB+2kmWJR7556FtAzrwTSHO+UXM1YmcRqzgfS+CnrQlYPX88pv5UfDlkni99ETkF5uUHU6BV3caknolIReT17gjD2481lKhmYzcOng5UXPndYsnrHhSkFMMK1aZgJdulNP/xfx4yumBq+DmscfffPwP+S/qPlJX8K8Sxq65j7Cc6ccs5gc+VSrCeecxck9FartwcNbWZ50XUpEb5mVlJID/k5v0PZaG/N/Wz7EM8A1iixBpOvJbceMCJeCWbvpfvmDeWhnu/gL8cu390NInyCefEZtbwQ/7uordzUD+ZWSGpRc8OIBs1CwTeUpIjvcoeHikwn3xp8i5lg8P/QBfsjl2miYLuY0vQWkd3Lnn1Tci5uaO7OXk9PC8k7Qrujob+Rr9c94D9Dt95pdUdA5y7kaqNDbwSIWQ8au5WF5tPMgmBE5d3hJ1Ng/5V+uRDElwp+jy0/T5yGX/2ggrgb9NUx2bxvxjd1G9DjhVblhEYwG2H6Ur9c123NFVPLEQ+YEAv7lr4IEV5MOORch9l6ljPMEPERRClIqxvvr90ukgcO1P/MJHSrD5nuk6EQ0eK1PVu4D5/ls6SY/AxSR/3n5bipyjdkUnD9w6rJ0rrQw7T7nN/ipw2WX9No9y5D9Ln/S8Bm+UD3LWqMDmJnne407wjpMXD3I/w+ph09dxCFzk3ufadcwzpzkVp8GjaLYsuiqRnz6UwLYC7ufzjiynCttHfYPbuxiIBPc0mTzf51j/dF36vh+8TdJI06AauaMssYcF/CXVoQXBGixnhma2HAX36vN5SFKLrXPK2QYJ8HXLMMnPmNu+LapXBBd3khoofoGc32LtlQ74WkO0T0gddnwRa7sZ+J/DEWym9ci7SdiHroP3nxFqFH2J5Z+CzQUv8N2zzpd3NyCvWq3dGwK+MmW8axRzNwljkVjwidWJjKpG5MTKfsM0cLIBRsXIV1jObJIMLgS31J0ds3qN9asyn+c14HPsVoHSb5ArvsuebwEPp/TjpGtCbmb+XKR35/i2M42TmO+vK3EngjcIPDJ/2YzlopMxDb/A/SZSNx62YH1+nxntBnjiK8UU+1Zsv6cz2O4+SCRc8guXVHiLPO5UzRtG8LUh197DbcjPsmrw8YCHpG64zGH+OKsj6iT4vyD+vS3vkIuwKmzKgitp/c599B67nu6cGxrgB19aKLm1Y3menuSHCTjzQ4cRtQ/Iy0S0HWzBRx4w3eLowF7XPW7RHbzL3YZhFfOVE51+geCK//SKP3Qi56kgpXsA7vD7q8rTLuTRaqJ5j8Ht9lETb33E+qSCqUoBuDhdr7duN/KsH4Gz1eAVL84eEOhBvi8hJ74FvOCDYv4W5iKR78/1gr+lmJbv60VuyTH/lwgez3fsS0EflsceM1bPgYf+2OMS2I+cYEC4tXlw5+8OIihMPmH5JMZJgYYRngvssh+JfEYu9DSDlgl89T9zUYovyC8PDI/zgVe4VrQOYe4WyNkgDs5T8NS0YgB7vzNOaQrgtGSiC/cGsfx2uTVEB5z37KUQyyHs/OLHXM3BF+k4mCSHkVuUp1o7gE8p+hfu/Yrt36McZrfALR/clhvHvGCy7FIYeGwlXXftCLYvzlywTAB/fEPBOmYUebYrjf1T8IDAvSu2ROTlg323y8G5sl3vyo4hz2mqjG0EV025cfjgN8xvF5Z0gKexUOfNYt6r9aJ7CLxy5ozU63Hk5+9/+zsDvvmKoi1pApt3gXxC6+DvLa4bO39H7uUXYkl5CHJLgM3kuUksJ3SSPDoI3vjtjwfLFPa6rx8Nc4OTKvGT/cZ8I9uIV3THLWZj2qaxud8m5kYAD1lQZk+fQe7sLdqqBS5aLVXoOYu8hfQCpxl4kvOb05o/kA9VPQqwB+fu/dbE/RN50Sj1lDc4f0aKzh/MxTvTDcLAB+MnB7t+IbfrsmhNAL9g/84mZw75GVE1QhZ47FeFBd95LA8rmDdUgLsU6Nw2WEDup52u9Bq8NPI3mdAi8qZs2q4u8DWCUBTJb2w9E0ovj4B3+q8yfsb8kEPA+k/wdCrjtOIlbG56BCdugFfHafCHLGNzk+TFGZrDRILKcG/xpRXknGZ835nALdPnT4muYu+rvzVBAHw9Ma2Oag3Lt7XpmpLgP/2ICiOY+xuXUyuDL++velu5juXqzc0PBuBl5Kxa9/9guWglONEK/AkzY8+Vv8gp41RtXcGP7n5iJLWBPIxdXSYAPCaifnD/JnLmmXCmBzv/V8/U3uI75j6EPRup4CHi+WN1W8itXDrHi8D3dnpfjdtGHtTa11MHfm3iy+S1f1hfiuNoew+ucfLdNQLJxP/7Ca6ypgFwLQf1WcZdyOlfhbVMg09oX3T4iflQfW7HGrhL/PqPN6TYeWwODFMyEQlCK/yOKWTIiyhbFxjBTwtN/HAhR/5rrnUPH3jCzxMOKhTIIx0Yj59i2vneJOpZVkrkbO8rLiiBt2y6XlvCXNTkSZA+OFW93eQ7KuTG1qPPr4D7/5i1frIbOZO06+IN8MdKG0QvauSb/MZiAeBlvsnmWjTIQ2/H3XoA/lP7zQDPHuQSgbxv08Dt3LwN/2J+995+lhJwpvQXHz/uRb74Vc/zJfhg5D2N3H3If3bO938Av7401uK3H/l03ozMMLhVRCvhAi1yg1r5gh/gytSStUJ0yJO0Vtk2wG8KnBTbdQA5y7M9yTTM8Jz4uLLgM+ZKp4OYjoA/Z2/iLqFH7iRgmi4Ivmxj+l8IA/KVj0nC0uBfj/odMD2Ir4P0KzVwefaj90QZkQeEKlwyAX+/abpNdQj50WPlf+3A9/kweYxgfqsxPOMm+G0d85nKw8gbHnzQDgO3PSlkcZ8JuczMbdIk8N19d3quMGPXw5xYnwPuvXBJReoI8llHDr/n4KVnG2r3syB/KMp0rhU8wiFP+Dvm1yoDD3wCb5FgTq9jRZ6maP79OzipLt2BODbkVoJFjSvgr12igq6xIx+vcnlCcQSeL87HLMlxIFeVyA9jBBdJYLrKyIm8YvmiJx+4OgV/3w/M1RSCr0uA1+nUKL3hQs59jf+qMriTYFdFMjdys+fnbAzBhVTtuVx4kNPcGnW0Ac8wD3+gzItcdmvttie4GZfwFgsfcvKYBw9CwTtU9O1/Y379Tm5BArhK0ManNn7kbowKH7LB18MElNIFkHNlmi9X7fieTyWeR5G7u25zt4LLvKE8oimI/OpHXpNP4CkWtSHcQth93NPzcBL8XfyvuXXM/9yg+rQKbsP01KTrGHJ/zVZ2KhYiYebxwOtsYez+/qB1Pgxe1h8j5Hsc+X//fW8SAP/j2RanL4J8PUeNUwr828mAv0dPYPfd/EywGrhDbfWVf5g/o6n/aQLu+ca5rf8k8qaNTrPr4M3bWSJFotj79fPovQW+wXkpPkgMu87hYt0I8PShqD8m4shTbHz7/gM/OEawOHEKeaPNmEUhePa4yxsKCeSPBUfm68BvJrDxD2O+uOUe9gE8IU8tvEISuc+JLL6vO+vWufDj3mnk8zQ33v8Cl33BqG0phZz06xfPbXA51upSCWnk1r9HBWhZiYRbOX10e89g+zrpLpED3JzG2fUb5i+YO9NPgkv/CequOYv8b3O1jQK4DC+D6AMZ5OyT58T0wW/KsMfYyCJ//c6Lwhp85PfTubNyWJ+p1x51B5dff6pJT0A+TNPZGAKuv8VWMI25167VnATw3IoDVI3yyHt/vo3PAa9uu2OdoICdn1k5vBq8b/5qo4Mi8h+9ziFt4BJfmo4oKiHPv6ZydwD8t+gjT6ZzyIV4O6JnwUmLZ7vmMJ/SJ0/bAJf7Uy7YooxcV+HXs71sRIJF60LQIxXkfWfDP7KBbzTlDLmqYnM8emBJBDwmo1dcTQ35h7ujbPLgN/ffvM+ujpzqxmNtPfDZ2phvy5jPJB64awVOZcAp3X4eO4+qfLM7eNs9vgcZGliddAlSh4LT0DyZuKmJ/Kt314VE8IjQB9LaWtj6xIrl5oJP5i9F8WpjucLmAkkt+H98H8b+Yn5MQfLye3DKXCaJbh1sf90YaB0Ctx3+EparizyOQDj1C3zIfe+gnx42l/9ey9sGt2Z5duyCPvKsOWMeOnY4PuCDr5AB8knbfdlc4JT6Jh0kF5CPlEYcFwcPkjFi+4x5OWN3/Tnwzl8tjsWGyO9MjOkbgWsw5NYFGyG/cq1h3g78zKU/1JeMkXv+snt4C7zWpd74pAny9sZR2fvg7SQLWZQXsX57TGD+Mbj2i4eLw5h7+xJyS8DJ1HNln11CTtwWtH0Ffv+iUHi4KfLi7aljPeB2yax9lmbYfXx7e30cfK3cj13SHJsXOePtK+A++lrX9logPzfJk0PFAX2M/375N8yv9MqEMYM3fZH8W2OJvKD2hMsxcJtDuooPLiOn+L5lLgveEPEp3OYKlgMz8gx0wO3H3n08a4Xc94yo7hXwXy2Ch+mtsX20mWzgDv50fMVsGvNcsTHzUPAP349nNlzFjhfc45IEfu9m92S8DXJmYaawfI7/fe+9kIMt8vd3qXPqwGNXLjor2CHnDSW2d4D7nZYrP3wNqyu3tPVRcLHKyKVfmL9/dE74N7joIWWJ5utYXtXosyXnhP5DZef1nz3ytx3aeYfATcV/P7/hgM1956qFo+BjipOrKo7Io7yp5c+CWxIVJdmckF+S0kzUAn9WReW5hLnSnztLluBJjqeevXNGPkb51NgNPKekbSHdBbueoto3IeAmfM3HvW5g+Vmy+VQSOOVtfntNV+y+zzcV54PPGs5nc7shr+V5cbwe/IgV+9g65qfY8yo7OXc+1/eMpcsdebLQA8UxcLbSYsNsD+SX4298XgL3Vdj3wMcT+WaOljslF8yL3O63el7Yvi4WOMQM/vXe338CN5E7L/9rPAaeFx12ehtzhtbPN+TAey57O/d5Ixd2LjuqB+6U+yGr4BZyRqn7U9bgjjQhgwG3kfO7XC/2An8smkZr7IO8zELzdjh4efORc8d9ke/Sl9B+DC7h8OcmmR+2v+L5BEvBkz5IFw5gftCVfc8bcL6Yoa+ld5CbiHMt94FTm4/Q3vXH8gn/iYkpcO1BBQWzAOQ3E9SH/u6sTwmFm1gg8pp214F93Ds/FxLM3B2E/MLB/BFO8K/rRd0jmLu9WJgVB/epe0BSFYxcnPr8tgr4K5dukfshWO7SeM50CXy+ztXsSijyPR2SZ5zAj6ncCD99F7nmlw9WAeA3Kz9U7QvD9lHNrbiH4BVFd8fGMX9ZI/cuB/xxX+reF/ewfMjDRvUCvLf7wOmYcKwOlQ9pdoD3q3+7bBuB3MnuWDIRfGNsf4TMfeQJ/eY/lsCDCEkV9JHIUwdLlKl4iIRAKp/BacydX3PkHgFfGKnd1RiF5bS+cloR8Bx7g6MJ0cj/Wdr6K4Ab6ahqOzzA8l6x3OoF8HjRBHeFGOSSu2U8roH3VMkkH45FTl5n+ceH53/fH1j/C/NyusLQB+DOEkmjTXHY3L/AwfwUnOqWOul/D7G81/Xy2XNw5nkD3hvxyOM7wwzfgzuefa6skoBc/dGd7a/ghbtu2LImIr8f8LRkEfzS94C7vzHf/W7NhoIX+lv4dHZbEnKbRl9eZvCguJzmtGTkqiXis8LglpkvvnmkINcgslXLg98y4yXR+A859ROZ+xfAi63HWbke4fs31vYa+ItLa1JrmG/+ZlX3BZeesLzQ8Ri5CsuYWAx4Viary9NUbB9tjPBkgetLHQ+/lYZ838hh1hpwb9XYTJ105AH7olg+gAu5qdXxPcHmbB+Bmwh+8ZJ+7wbmb31FTy6Df84ome3OwPadnrXybj4iQWfWbFdeJpbHHn+6wgqu3W92+M5T5O/yIkNPgsuRlwhfyMJy7Ku7ZefAbZl0FYSykXMfb/1mAj5XoWhIkoN8S1qT1Qn8s0fotU+Yk4keMQ8EJ/t32KcoF/ltM9HsBHDx338ig/Kw/UL5cDl/5/h5oTSTfOQ5t+Q1GnZeN6GgRKQAedu/M/k9O+83zLuBvBD5yfHg/VN8O3+PE98xiDmFM6vPBrjQ+62hsiLkDrMU87T8REK+aeXM3WLk/pkK9rzghdXVq2YlyC8SP/6UAh/1oyITL8Xqaq7SSwu8U+vpfuoy5GmM81RW4OOtEcyjmLNlBDzxAr967yVPVTnyiEF7+fvgXqJnj9+vwObXntKpdPAjV8gkrzxDTu+vnVgJLvacUe50JfJDd85rvgP37nJV3leFvF8/i3oEPFzjsOY45hKq5p2/wYfbKPRrn2P7ItvrPyoBIuHtdxnjB9XI9Z4vOrGC+8nXm9rUYP22uUtNFJz2ZrDl2VrkR4/QH1MBdxCIszrwArkZyYuDpuCX5qeuTmHO9rqN4gZ4uGOI7cs67Dw5hO0QcB8ZO7uH9chP/+HYTgGP33xgd/0ltn/JHChKwRnPb9sSGrD8Rsd9sBmc9U25DWMjciM7FaEB8KxdBdY/MD9lMKA6Bx6SPXn59SssX7ENO5IdJRI8ztuZJ71GbkGrm8IEThl17KLTG+TdbpIdx8ELqcUvKDVhuS42ZrcSeLGZnzZzM3K+SksNE3Apbhq1ecz38GUnOIEbrn6Rb2lBbnvcaioI/LvHjNSjVuSFh5Llk3fOL332pOtb5MpCahnF4KrEDn7VNqxuy92pm8BPkWewsr3D6mqV5dYX8Db5ygNLmNMoKC78ApcWpaJ89x75x6EpZzLBnd83pfxJa0f+nHb/ChP41xT7nx4fsH3E/zxIBPy96u2R8x3I914bO3wOfA9jWxdnJ3Z/2WMrL4LzPzZ4tYo5Q3yriQv4nZusZR+6kAfTBZOHguspcKdnfkR+6+vb6v/AGx5ejfLuRs58LtGtDPzF7vHb2j1Y3oiaP9UKzn4m1Y63F/kX0v7tIfD/XscZ/MWc75fqx0XwV1JNch/7sDmeoJ5PJUQkrEuJCOb0Ix8/NxTOBh5l2kvv+wm5+bltV3HwTOmKDb3PyKeHn11RBz/j+H5c4As2j4y3TCzBxSJZ2rcw39wcMvYEVxbLLu8dwHL1IT2L++A0a7ZJ+YPIw36aO2aAr7hd9vUfQq7TRhZUDW4kF3vZcBh59G+l9A7wi4vrSse+Ij9cydE8Dk7Fm8S/awR5pWHywh9wVWeH3Z8xF+Is5aU7BvPFznOmaBS5lJnNZX7wi3mV74KIyBP165/KgCu/PZpvMoZ8TaNqTh982bQ7TOQbcspYPYXr4IlbxTbk48iv28c98geXU2pQHMT8NeetrQTw3qZdHGUTyLM3Ke2KwLkOef8N/Y68QEX2yxvwdx85+00nkZuqsukNgGtFbJSITiEnqOZ1z4NTD1Ddo5pG/jl69CKlMDwXGChf/or5I9vmGVbw79HPTj+bwXLjIZNAcfA93Pr7w2eR35h+xHke3C2Tc8LiB5bneWLfXgZvzmavPfUT+X46aa+bwjvf66sRRfML+fJqvHC08M7/m8u9TMTcjDNnNgv8eZKo+PM55LF9TmV14Ld9Z8gj55EPm/7y6wE36ezsv7KA7YttPoMZcC7usezTi8jzyJlPkhyH55G9nJ77fiNPfv724GHwf1z3lcYx9zAT3yUCvmuN60DtEtYn5cxXzoG3ckx8jV7GcmmWyqIpuP3J7vyrK1jO+bSw7AY+Xj/tcWYV629s5iQR4FQXhQh0a1jeex3JkAEenJywexLz+t2BIjXg3/YLddetIx+SOavXBR6uM5Uc+we5VXa9zyR4/a8PlnZ/sXwYQVmyBZ7kO8gnu4HcXvzI9EERmHcPaH/QbyKvnV4XFAbfXeNQOo053e+n7krgvBFzbg1b2FxIYm25BL6YlCQRv41ckPMquxv4gLvt2vV/yO/2+fiHg7OXXaohkHz/f2ffvDr9BHxkxN2bcRfy0hHOizXgDHHlp39g/quprLsLPN6UYfUVKfKwJUb9KXDajuRniWTIBar0BrfBD3gr3HAkR+6ka2N/6ASRQDq3V1iRAvnSXn1SEXCeV38nD1Mi1xZjzlQGT/CnyfiF+Z7d9erm4Novz15qokJe1n/2jwc4H000fcpu5HXfUsoiwd+tkrx3pkae6/XZJQu8mSE+4BwN8okvK5L14P6LKpJH9iD/qrtK0Qcuxcn8Yx7zVb7B4R/gdCdp0lv2Io9Kz6wjO0kk/C1j1n+0D/kauV4mC/gHMVVy1/3IQ1MnY8TBxZXjqlRokfuWXQ3TAK+++deGlQ45Z+iHUGvwhov+jL8xL7TiiPQBv3ubs/ntAeQ6MRb/PQQXvP7VNZUe+RnD+2WF4I8rq9jdGZDHrOd0NoGX/ch7r3YQudvriuUhcNrU557sjMiXV0u5l8EJxiMcy5gfJaab7BUlEp7kcbx7dwj54ebgRF7wGxy3XdMPI2+eMRuWAW9W/8XkyYSdJ1lYyBD8fpV343lm7PoPLfs7gScssNhwHsHuY0Hl11Dwu/c+Ua9ivj/VRSkNfIwmr7idBXmCOH/5c3BSihjdDFbkelUD/F3gHOTRv73YkDNcv581Ba6VkPFQkx350wQZIRIxyJ/K78W5OZA3Bc5VM4GbZ1D1rmF+0iNTSxS8UOKiawcn8v+eXfyhDj4Q3bD/KRdW53cZY63AZaRPF3pzI2c89VnOB3z36zcq2jzIr5E+WX4IrlZxeYyHF7m8lGtFEfh4Mp3PH8yFWDW9W8CTSXoYuviw110WVRkBp/DMKsziR66/m5d1DTw1MEzxtgDyiFSev7TiREJF+e0vOkeRt/0VJR4V3/meBz8nPkHk3ra6nQrg/XkPdm1gvskf0HwJvC20LP6jEPKKoDdv3MFJKkb5c44h/9HI9C4S/EANa42PMLbveEM+Z4Nf57ZT0zuO/Mg6xVwDuK5Pw2d+EeRx/ul7v4DPaHLbbmKeuEtffBFcjCtuqfsEcqNmdiuaU3A9QfsCck8i/7OPKoUHnPLPwz1+osjTePd+kQHvouVL1BdDfln7BIcR+CudVxxHxbF+2O3q7ALOrGiTt4W521Jfyz3wZReGk72nkHf9vciXCa5i9f55ngRyy+OkUXXgAxnhMnckkR/s7tzsA79Yrfva4DTyoWOvPebAlY9xKAtKYesQPLhMJQH9LXT57Tbm3OysflzgJTof1fukkRsohO07C+5CV/E+/wzWP8XYci6AC+mmnPc/i/yj1KiKM3h6Yui7CzLYuiV3zoeBOzl4qQrJIj+U/PNJBjiNkUPzP8y/+565VAfe9tVavl8O+bPIWpZ+8J5wy7oCAnK2fQ7f58CPjZlLBMhjc0RJt3q3JJHwzN6ixFABOYuXfSw3OFcxxF9F5C0zL9xlwClPXE0lUUIuNaFoYQTe5XWN4RPmPwrI9G6AN9I43Ss8h9334G2NCPC1G66bAcrYPqo4pZMF7nzC08VIBbvOO7mXGsBX2m+OHVNF7i9s4vwF/MwHb/1dasitd6lF/N553aqbbz5hXqboXbL3NOTYfR6iRerIcyRmB/nBv110Sg88j/wORzqtAngbu/VeYw3kdsrJmqbgwWMXvIU1sfn481OsJ/gnfsXxXVpYf75kNvoA/LK7kNZnzEl7BSUKwJM09j0v0sbm42P5h83gH8Rn2YJ0kAdvZPwZARcqexVirIvtdwmda3/An52LmRXWQy4ZrT7KIEUkKHqa6JDqI3+nEWchAh7TwvTsM+Z1FUKTauBCtR8Ziw2Qz1Ed9LIGv9XrfzPoAnbfY3T23wFvSOL7YmyI3D5mpCQZnDH89enjRsi1tN4YPwN3ETJIJDVGnr5nc3cn+OPtgaXPmDPTRb2ZBle4Z6hbbIL8erpXCJk0kTCs3lIYdBG7nu1abXbwdy1HKU0uIedxNeGSBpe442953BT5axmDTQPpnc+VtVWTmmHzLrtw1Bn8YRE57RfMNRes2sPBefnFbIrNkctcud2YBe41rvsiyAL5jMxSXSP4ms3l/SaWyBvfdr4aBP8lcvnK8cvIeVX2d66A+zTqPCO9gtxjs2Kc7gzMr2QR8i+YU55o2CUMznh206DYCutX3KJHVcHTBGoyg6yxOjyyz9gKvHrkyoLxVeQUpgbRfuD1xHWZ4zbIpQUpOpPBvxX73iO1Rf65jedQJbhk68+ez5hv+ZXZdoE/yVdjLbbD6i2yqHEWfPTzg6tB15CrSzNzUZ4lEiI+vi40vo787tu1CC7wgwwji8L2yAN81LdkwJvYJyRJHbC8kULrbQJe59Z7+zPmIVc1NtzB16IKXxY5Irfi2r77AFx13uFfoBPyfAZBlkJwU8aD8sbOyEX8O6pbwSvvPPUXdkH+Mven2Tfw8nzmhl03sP7ZHUazDR5y0GvjE+ZkhCevmGXgeV+25nSRK3JBidP+EuBNGaNugW7IJda0VPTAuxt/FBm5I29v+87oBE7KOPz9mAfyoF//ft0Df81exrbLE+vDeamdWTI7P+e3u/AJ82i5V9WvwKfP7Yoo9EI+vXgtfxjcztSvIeAm8huUKU/XwXOODC0aemM5s1Ev56AskaDzj5n32C3kNZfjy0+Cj4dKG5LcxvrScasWTfAXQtKh/ZhbXasfuwZOac9UWeCDPMwwizJUdmcdPo35+2J5+DTLqQzwrVz3/YZ+2BzU57Z/Ca6UNictdAfrAzMv8gbAJdlVr/7D3FRucn4FXP6pb1SfP/KbCdkEejkiITMvuio/AOvzon+TRMBv5fsO3wlEnmf4ff08eBWnCumFIOx+nbtmZQfOFT7LLxiMfEEhpC8Y3NL8+vltzHfHnNF5Aj5z+I1jbwjyv66RPfXg9OLLUXmh2PwS8rEYAKcQ/Ffsdxf52CbV0gr4G/dvH/TDsPd17FQMPQGeT6NSZwXuYXX+h0TyBPjw3AmqLcwb8lwmNMA96FO4e8KxHOUb+OgauLbrF5ncCOTCNadNQ8EzQ34Z+t5HrpP6kCcTPLjls5NeJPJh58TlBvDPRYkh/FFYrnNR6BwCt3wm+N8G5mZjCWXr4JV6MSUfo7FcQZXwiFEe8iHJ+9fZD7D14ZF/IAZuevpT7+0Y5B+8k+/rgDO6VE7oxCLnUE+PcQS347i6zBuHfOWTYVo4ONerCdK/mKdcfVmZAz7dJkHX9RB7v6c+9zaBy5QbsWbFI9e/l7VBBHdZUBG4lYDlw0x+4W3wki0KUe1E5L9bLGxYFIiEbZ2H0jxJyPvEtXOlwM9YzMmvYx4lsrpoCH4w/ZBqRzJyvnVjZXfwQ+F7NDNTkD/p8ciIAc+K+6Bz8z/kS/+0KEvAl0Qv6ms+Qn7gzYR7OzjT1zIDrsdYPVw6MzsNvk7da7CK+cm9utcpFYkEfZFG/fZUrD4PCyzygNc3eug+SUNe3fgqUAE8S3xJ0zMd6z/K7CyW4Lr/pNXOP0HePCv/0hd8MElNkSMDufmi4LX/wCXd2M8uYz763yBLDfgJsjqxd5nIx49e+NIPbtvIJpj2FPn6cFLqEvgFFhV29ywsJ6znOBxQIhLU74vTq2VjfexlkOIJcPvg7+RsOVgdOgpzaynt/NzDdHUR8y+q2TQO4BTD8ZOtuciNY+Y27int/H+Q2P5HechvhVGv5oAfbdJpupGP/L7z2noz+LDwx1LlAqzO79aSj4Of7zvw6Egh1gcO6DHvOgd9TPhg6DzmtTqNkhzgGnmfnJqLsPsSRGEuC+7xwsQwpRh5xA/eSFPwgP6Us84lyNXa2Ztvgfc6pHAqlWJ1ZbVMngyeP29EzlSGnWcpR/s5+IHe7smfmJM2nM7oA18Oo257XY78HFne5u9zO98LtJWbWIH1MfI/lw8oEwkbwsV3HZ4hT94l3HkCnIuE6ap8JZbrZBTPaYO32svKM1Yh37ci0+QITjrCyjKLeZwjm8Z98Jb3VcsNz7HrH58Yygf/kkHV8bAa6w//xXu2gX/qPZB1rQa7vz3HmabAJbp7b8nWIjdsL2+iUCESCDRa2vQvsJzfyuXNC84478s1hTknmb+EEnjpvNVSXR3ygTfvN66AD/tsN8XUIy9WpmwP2Dk/mc5Dm5dYnbeLPU0HN1wxuHKmATltol5IA7jL670itI3Iz05YO38Ff/7J+8845rWr9lc2wfmzkppqXmG5d981cxZVeN5JvhYZ9Rqrw+tmVmfAK7h/GFi9we77efUbF8E3ytiPnG5C7jV/IswbvK2cdHRPM/KRlAO5SeBqDxMziZifDZ/veg7u3zRwtaoFeejW+12fwNXL2vkiWpEXSGbLrIAbvnX4bvEWebiHf8BBNXiO9qp9Kt6GfHv1Uof4jgtVXt79Dnn/lhSPAXiorinrV8w/th0JcgNXMSr5VP4ee92kXbOx4Ofzih7cbUdOXzB3qRxc/ZmhqukH7HjCeN9H8O7xvK0THVjdJhONF8AVc7IryDuRv/89NU6rTiT02WrYDmBu++Cv9wnwpNgUppIu5JeKmQ/rgDvEPXgX9BH5oUiVBmfwA/3Ct4y7ke9yCHKOBmdouSEg3IPcPbxToAR8qONSH0kvlp/5hWc7wJ9emvXvx5w36HHVL3C/T+xCBX1Yfx7kjNh3HuZI0VrPnX4sb9x4YXccfETF47bBJ+RcgfbaWuA1dPGcRz9jdaIpJucEruRh1LKJuSc9w+ko8JahF9e6v2B5mG6/dDG4dvkrmpwBLJ+H8Z7rOL/z94N2hbcHkZ+vNDb5Bb6hVXJeZwj5/s95nvs0oH9Ox0/zDCM3EWF+fBz8adKR0HXMN9bz27XA3zXLcXZ8Rf7C04zcGXzrC8mLjBEsb4yLqkSDC8te1vcaRW4fcCy2BPzQJbOZ80TkJffPf+8EN0xevsMxhvy5UoziPLjR5aMMy5jvn9rKo9UkEsyOrGW3fUMuUxnPdBLcX+Ty6dRxLP/PGMbqgheTW791nUA+36LI4ApeQP7PUOU7cqUws7RYcNpE8fEjk1g9O2aJVYCrcZK4zGP+XwXLxx7wxzRX/zRNIRdKafJaAueptwhKnsbym3kq/0EtWM9H89ROM8j5CQWjp8CN6A7FKMwi/3r7R4YhuGVA98FDP5Cf0LFy8to5Xp8reRbzo39pFZPAfX6SH2n8ibyldoWjBvxnpc9/D39h97f9INUA+MMDoczX5pA/c3Ze+wN+6hpnksw8tn9HyRaPaBMJ19m1GA4sYP3B/NPSWfAnKTTR3zE34J36ZwZ+hGBC9WIRuar7acY74L/dJfyjfyPPDGsTTwenT81YsVpCTpn+yPQVOIHjsf3pZawe1sojx8DpLHlH9qwgV+/Y+5ZUh0hYeCWtS8T8jGUxDS84d/7Qq8pV5Bdn442VwV/4UJ8MX0POUNRcbAue9/hNqvk68ndjsvvugRe4UNKI/UHe3bbLKx/8gkmfB+VfbF+nHZh+D07/4tjIIOZL6c7WP8F51/eolG4gD6A5Mr1PF+rK06MoeBO5Iguj1wlwm4SrB0y2sP1Le2WfHrjMiyEP4W2sz/P8K3YDf6Yy8InkH/KKhAXjeHDxVLPT/ZivZkjueQ6+zmGTmE8yiXJdaM/bz+D0or+X/HYhN/BrifoDbidGpqtPipyvlc6cRQ/maWhSAT8Z8s7HVRKy4CGRJWQbmO+RqzpsCS6bp2raRY48bpKOLBCc6YxV+VMK5DS979YywbmfblF4UyKnkx9baQaXOcd8UZMKuaS9ydYkONudygLO3cj/RZ3cT61PJOiVd/5dxnxyyv7oMXAJOTv1d9TIjSt3a2qB/wvxS0ylQf78xJ5bLuDV3+m+ue5BbpToXhoLfuYVp7DKXuTBvErzz8DPehR5HNmH3OeQj9QncLkrz+rmMHfJY72/Dp42eWpX037kYYcEp44YEAnh1ieVk2iRf32coSkLTn46O8yBDrn/zbA6S/DJxrg2wgHkN74NiQeBD5itUx2kR57N/KQqC/yKY7/yNOZ7LvbLvwX/qCkYVM+APGDYt38GXMdsqT7mIPL+0ST3vRdg/q6LrV5lRN6TJsByAlwlYOq49CHkJw2Pf9ADl9Slu7rvMPI0uYK7HuC8rUXJY5g3JqafTwI3J9S3VzEhP5qyn+kFOBWz3FY4M3KrwPW5YfCDZaLHLY4g/xlh0fUPXPdKoqkYC/LTiwq13IZEwsVwh3uUrMjz5p8WKYM/DSl7Noh5yuvQ/GvgHqVXv5awYfWQOV16H3zSJowimB05Z0dHYwn4FBmTsDEHciE/yYFucJnvjHrHOJGn/+LZXAb3sQnw+Id54sWko0xGRMJ+olFiLxdyrs1Yi7PgYmXJz3O5kSvRMaZZgG+dVO734UG++JFrKhBc/6Xpbx1e5Ey3aqWzwedKh/bx8iGPVfqa0AZubt0ssI65qEP0xg9wMjFG+Q/8yOuFOu1pjWH9vTqMngggn6lPHRcD/y/8p4PHUeRXzbZtjMDdW1391QSRf1BaXLwFrnPXLJZVCHlV8c2wVPBK7qKMBcyz++L4X4OvL1uWNR9DzrCk1DUBrmF082WyMLbvlCIDd5sQCYXpi22Ox7F1IHGSFQb/IdjZIy+C/Ir1FKku+DOtvUMHTyCPyd3sdgf3sy4cm8b8G2VJQRJ4YlPBZP1J5EF1m5F14Hyt1LMxosjj/814j4IfaXr746oYcsF9N53JLkLepp/4ISWOXJ0920kAXHKPxezeU8jnHD29NMCvUUhMETGnFp+55wLOanLtW6UE8psFu7IfgttdWhu6J4l8375X76t3zm891mt2GvnDeL6/Q+Dn3vG9PymFvOm2uDjJJdi/400N5NLINf7MevKCS1PVlX/BvF1d640aeP19mqdFZ7B+km3K5ARe01oeF3AW+W+Vw96x4Hv2lwVckMH2o23gWBW4XTW501FZ5NJyjy4MguszlRpvYn6SyrZ7G5z7bon8RzmsX/39ZsxjSiRQGJEezSJg/USfYVoVfH04f5+3PPIjquuBjuAdLlmLGgrIeekf8sWCH7Ne7OVQRP7k50RPFXjYnpjKJczTaOfDB8FPvPR/+FYJ29eVFef/gct/aLzx6BzmDKKMvGZEQlGkjqaLMvK7Ng4zauBS+iL8SirIhSes3jqB+9ww3T6kinz8LVNpHPjomU99s5g7qUc/qQbPJE/Lb1BD7pvR/GgY/BNnhW+cOvLa3S+f7DKH3P7tgLbteeQN1d6l/OBzj+rZzmggZ5xaf6sBzvCk/Mc+TeSELrnZG+ACCgvVY5gX52kcSgS/1H0zqEoL+ZtCTs068NJMVY1wbeSf6RrvE8HXKS3pzXWQi9Md7aewIBLGdF5+PqmL9YdvZkePgX/rvPKIXA/rJw0Wobrgav0a5l8wpx4R+ekJLlF5m61IH8tL3p1mj8D/q/815G+APLxF7vMrcBlCVrLBBeSZWwGmk+DPI1MNBAyx400SZ/ZYEgluK1/2bmDOsj8gUBS86J1hc6cRcgEjAo8xuOdFhtuZxth9vNbf6Qtetkwn4mWCPMtXKSQTnOGHFlH9ItYP30cotYHzRb6LYbuE3D68aO8cuJJAMGERc9bF/FGGy/Bcv+f2z2ZT5GTSIfXS4Dz3ipOSzZBHJ8s8tQSv/sGq4GiOnEO172Eo+J+Qt9MECywH+mpGF4JbZRZFM1hi/cc5J64bXCquXWwK80XD8Sdr4P9l8vS/uIxc7zp5LdsVmNdclZ7RV5B3jNIMKYHfM/M9aGWF3G1hjdIe/HqGT7mENXKFng8yMeB+suWa1Fex/VUf4fscfMOPdXIY88PfxVqHwX+V1vuV2SAfCG5lJrMiEkQ5YxlCbJFLdancFAR3Y0nJNbZDvrBVOaIDLjnXK33sGvICFXpdL/APE/LvtzGnJFq2PwY31xg16bmO5W2SdN0m8GGnku/Z9si7Rz6OzoAfTi6+ccsBucT/MXXf8Vh3bxzAZZQdWYWshlFmIaO+tmwhSqIiM0pECJEVmSEjSUWyRyQjFJWRSvbqvm2VTVTS73r++Z3z7/vl9XXu7znXdX1O9dxP6c/rLLYkIodj6Jf+JSz/F7HyyoP/kVYIEnBFvsqwp+UsuOmRpq0rmM9THLwZYvvf3xPdiHznhtzgjbhqPvgByfOM6ZeRK90WZewE16hwv+N2BXlfhAB5HfyecSG9mjuWQ9bZGvjtYF/02MI5riLXZaJ5pgUutPBoywzmbJsr6a7goRFnfGs9kLtTTKQkgntbKy/GemLr0e3JrAFPrdGwt72G7Rdra8ko+LkZj345L6w/RzW20V0kEdulW3TpvZFnzdYtSIG/GVSvHsbc1K2B/xT4eZkx4dLryJvUWk8Fguf459wN8UF+7eFQeg644Nbovxa+yHtq16c/gEuyJ1884If8+Ad+lVVwyoWGtk3M+baZZvHak4h0MqNU5w3kGZl3GTXAP0v5JGT7I99oGw1yAT++j2b5egCWixpVt9wF99lackI/EPnE89LIavBCHp8i/ptY/Q4e4hsF38y3oVvG3M65pYbOgUSc2bxw4W0Qcq1kD1tp8KDTwS9Tg5FzJh7iOA1OQV3H7HoL+eMU+s83wZU0dlxQCcHmSN+v5Fzw8+eCytlCsXVGUDp8Ar/xgI5qCvO54X2q6+DWGnnG1WHIzzBe3CfgSCJK7124Hx2OvOR4I9tx8Llh6clzEcht3ykxXgG3tuKSOHwb+UBtN3MKON+pHZ7bIrG+fTaOpwGcl1OoagBz++FLMtPgOwc1fxdGYfty5ZIpixPcH7/fUAy6g9xKPy7gCDj7nbfXzaKxHPK4v/wceD6FUIVwDPKuPJ3lCHDH6Jj535ivJZGVS8H5vBhEOmKxek95FNcP7rN5zzorDnnxVPTcFmcS8cPp0F3PeOQrFU/MxcCb/gw1aycgD5Wffm8Czr129yf3XeQ7Hp7W9APvf2Cxbw7zY3t+tz0Gb5QVNmlMxM7tSqtVO/jZzS3+iUnIS7U/rK2AMytNZTskY33JiDJjtwvcoyV62hXvIa9TcdHXAlff1bHIlILczYBu62XwlGMd7GTMdZ4Nt9wDL/zaLfs8FXl4+My9BvCVo+Nm4WnI9XkkrsyAl6Wtu1umIy+/V2Cy4xKcZ/kd0eL3sZwjaU8ogb8xlcqhyEDuyWklZwf+Utqk7gvmpQGx8tHg9qzenTkPkJulb1GvBBc+9GDCJxP5/szyU1/BxXrf/tR/iOXD2pzrtK5wHo4u0AhkYXNBeOiRNHhp9i62ZcyrWE72Wrr+9/95UeN7+wj5r/wdnCHg+b5OwqmPkXsc4LQpBGe0j5G49ASbU43nynrAu41LDhHZyJ8/XN5O4UYipn065HbkYOv/89Fb1O2/P9ealp/AfC/V2owJeETQhlzVU+RD35zsb4D/GKI/HJWL/NK46Gw2uNaVHZLWz5CTBY8EfASP89khIp2HzYXupF2/wKPk6Pmp87E6ldKoF7pMIjrH19l6MVe9qHFZH7ytcXhrXgHytOx7ol7g+fRVazcKkUvuIeYywQM2wiaNirA+s125rgWcp0vni1Ax8ur7scnL4OId/+pWMR/8o+i7+wqJOCicm/O+BHm8NeGoDW7PoxadXopc72fGOXfw5cl2d7cy5A4rFrbp4A3N2maq5ViujnS70gweuVx6mP058tnp0fB58KF8erYpzF+rVj7b5Q75U+zE/MsKLIc0z3Srg9s8C2m5U4ntb04Aoxt4jd2TLJsXyF+xeRmkgP9MLvaWqUIeRnxOeQ1e4putR/MS69uW8XM/wE/qhu7uw5wu6YUh11USsV/FcDavGqtTAc2XquCHk/9V+9cg/3RQSeIS+JmwlDDjWuRS39MKk8ENdXca76nD+mTURflG8Ds8AVw/Mb9P3G/7Dm5/qGXo/Svk0XIqzpwekK9a1zPT67HznGXCpgquwsN43q0B+dPirrcu4EtWlAKqjciNE96FJIM/fj8wxPYaywM+Bw0awSuTE+9NYp6dSC3wA/zMPwnjl2+wecR+4i+nJ4lIUny29U4T8hQRtglV8EM3KWusm5EzbNHvvQQ+sE3RVfot8vQPG1/uga/RGu2mfoec8dX+wdfgndUqbT2Y76Bs+zEL7m3G7P3sPXKjlm+0u65B7mV8IXCjBbm5erikBnggt+J7w1bkuZlZ5y6Dsz9PdhVsQ17JpHQ/DXxwezvLCuYjtWajzeA/bftL37YjvzI0L7MIfnqyzjj1A/L8dKYYXi+YR+3XZ106kNeIFi9rgzfo00Uc+4i8tqLb1gO8Kt1NgPUTVr9uwSMPwAfmnlaOYV50q9K2FXyf33Pdys/Ib+3xWF4Fd752dyiiEzmL/8toQW8SobND49KZL8h56yNlDMBlwpp/iXcht9k5Tb4ObkfDFUrRjfzGi870J+Czb+SZv2BO16Z37hN4yer+pOwe5BFBZpIb4BYdY7uu9yJ3opujFbkO97gg1/u6fdg643fNmoILqL3h3d2PvFWrbzAQPF99PG0e8+5TB7rzwZeqPnK+HkBuvcrW3wte3hUSlziIPFj37hSVD4m43kJJ6zCEXDcsj0IK/EHLcX+FYSy39FjutQI32ma+wDCCPNUp2yQCPOy56PkRzEcuRUU99/nve3HffCz5ilydmfkjCfzmXkHlWyTkfn4Su5l8Yb7oquecJCMXGZ29pgCenC3CLDKK9e3LBv0Xwf0cPnn8xpzNxFA7Aby1QaG3fQz50crF+lfgB0Ztj2SOI69oOaL+HZxtw+Ce+wTy5pd7P3P5kYj3x9aW1SexflJe6aQBfm7A2pBzCnnQ+DyjO3jt5q2cacwdfT5XZ4DHDV7cqJ5GfiHTyqMV/PxDKuPoGey83UqQWwP3v2GVZfMNm48mntR7b5AIhszLC9LfsX0/QjVsDL4ip3yU+gfyfluVBn/wjauN4T2Y//p3sCgPvDRo82PuLPJ2hdacXnC3+CUOvznsPR/dlUftD+f/0/3TBvNYvzrCUyUNfufSRhr/AtYHzD9/sgYvu8sysIh5wRvllSjwKx59nE2LyGMLrIVegksqmJ5IXkKudfTImUlwkR03bzsuI5/Lan3AFkAibA9Y1yuuII/byjWrAv689McS4yryPff4tNzAX38W2/sV87jA0Wfp4JRVXKalP7H9/W67s+W/58SVBd5aQ35g25P4n+Cz4b+fnVzH3tvfxxx7A0lETMvcZ+FfyIX/2D05Aa4dFLP2C/N3YtNHA8GTBvq4238j31clMVoA/o7ig9KDP9h6OhTiB8D/8DlbXtlAnpVKr0d7E3LOuWIvtb/IT2k82i4HTppLj2PfRL72a8tXW/CeVYncScwzJ8RexoObZDrUVf3D8oAM34N6cH8OzU+RFFP/d0GG4ehZcN3gtySrLcj70xwjeIIgj23/PidBifwU4+toHfDCydLfFFTIz0Z+y/AGPyLNTf0F8xRirCobXH/nHoZsauTZ5oUjX8Bnm9q2e9MgZ/qts50ymESM27Dt0NmKXNesWlcK/CPrL1aebcjrYv/FWYPvorqxfRbz6h7u0Tvgv8+k09fTIr9pynSsBtxPw5wqng65slTfkxnwK+P5vy7QI6e9d4Nz5y0SEWybPnuYAfm30j8JWuACM3u+bmVE3pdnzn0NPOa+Rkcf5uX5MQWPwYeebFTnMWGfa+SJTif4jIhe9g1m5KcvpS1ShEBdGElGG25HHhl45YkkeNOx3KsCLMjdVUUuWIOf3F1xcgnzpMHXYtHgh1hPyjWxIrfzVt2sAVdVCWdP3oH86LHsoW/gsp90FxzYkDudnm/eFUoiEiYftCiwIxdaEqg+Dl6QG/yQgQNbp7TSS2/wLKVVz2HMn6sQb3LAzzWtahVzIs88LtHXDZ7jcIsziAu57FW6deowErGpkzFmshO54eRnocPgjbFqRXt3IS/9EHHKFpzj7FWvn5gzn5BMTQBf6j6g/J4bOU3q2/FG8F18bv9SeZALdBgpLYLznz7S4MKL7e/O9vsC4TDf824HHN2NPD5Lmc4YnEX2vOJ2PuQP4h7dDATfz/tqmYT5UeZ/lMXgl4Mz88r4kd9TM40bAb8VSW0TIoC8+eRDEeYI6CfmP1jMBZG3X55qOwruTmfeICyEPL1K1NcVPKRJxfUX5ttPOR7KAP/4LJ+rbQ/yxWtP1trBlweS6u/vRf5L4evbDfAzPpt2bvuQt7Ttyjp4G/J5zvg2lf3IF0xOhlmBFwRr57IKI5/+meB1B9xbcr/WGObcX7+414KrfggkPxfB+o/Mrus/wINumPqGiSJ32GV3mzeSRHiefchySgw5XK6y9cGF4y4+ET2A/I7S9g83wH0OP5L9g7lqs/u/AvAdzieb2g8ipwgYUR4GdzAOMH4gjvzpHfNQpigSUb+Vd+CyBPbzOwf7joJLFIifV5VE3qDlKu8GftembGKHFFYXBHPWA/B04pnDOObfReo5PoK/c2adqpDG+qpoUNK/qP/uKTO24TLItR1OCkjdgX3nkRk5dQj5H9qjlefA54amT4odRv7isIJFPHjoeaa2P5hns+hRvQavfPvg6AdZ5AOvPaqXwD+J3i98IIf1JffnN/ZEk4jvT6l5rsgjZ1Fj1jUDXz7bG6p6BKsXy2ChUPBMR7a5HQrIvcisWyvBr46/MB3H/P6fupVJ8PrZN5UVisgnO8LnuGLgfvdQjitcCfnwzSvLx8GZdm2/dkoZ+U85Hypf8Iqr+p9EjyKP43zMlw++r2VW5A/m6xrzGkPgpfJLAe3HkNtOWXsxxcLc7D/VmUFgzxdaLjsGfq1FYM9lFWzfeQt/Xwa3FNJxV1FFXvUr2iALvHLzUy2rGvJ3I8n5neBfr7+gGcO8duE9O3Uc9L28P3rP1ZGbmu27LQtOWXw/NlQDuZxEIa0DePGD1E/mmtg6H52/mwIee3eRWUQLOVuvumjrf8/Peaz7C/P1ObPWP+B7loputWpjfYA52Us8nkSsRu+oTj+O3OIMrYQN+KG7H2Yv6WD9bb1gIQ78CvdXvmO6yJvoQl+9Bt+mrGWwXQ/5bHn8vRVwIRZKHxLmOdxdfvsTSMTLItZHpfpY/zlv4HIKPEbS832wAfKdhZsXI8Fl80R+mBoiVxOYcakFp5eTYNpnhHxshMl/Dlzx260DPzG/yeiWKnCXRLwaFtF+Z4w8vJ2+0QT8jDDvuZQTyE+qTSyHgGcNW3k5mSCXjN+UfgG+yvnttqIpVr9DFn4z4DdnXqcxmCF/qbX0kSeRRCi7TOYOYR613CFpCL5Qavq88CTyEpr5tJvg0l/o6gLMkVM9NGUtB7ce3/bGyAK5/sTfhAnwJ7/13wqcQk6sz/HvTCIRFAf63i5i7vVHuEoXXD4yt+n1aeS+rHln/MFHDtbV37VEXm/lRV8CflKYo8ruDDbf/0U3jYK3RRcXylph9cW7dJsj+b9/Pxb1cOtZ7Px0P7Y8Dn5p7mlcL+Z6+k/k/MAXt1MH5FojT3i8srsIXPzHA0cfG+Tb/iaxkMENkr2Ndc8hv+V7m5n9HrhgtCzPeeSfjn7i0gZfyhzh+oH5A0eXg77gn/e6rNVeQB7Ba6VfCK73Wror2hY5h99jbxJ4dKR0kbUd8spstSK2FMhRsU6hkhex+V6nuKAFzj/Wd5rCHjtv43eO+oK3JAcc+Iz5QSXF5ELwuZrTv7MckH8YVf9NAn9l6/T2qiPyyxt5Tuyp8H4yC2LVnZBv5l4Z1wbfGihkzu6MnWe6ZGc/8D621l0TmMse490oAqdyezRQ4YLlWEfq1FHw0oy8lLBLyA/kGqlyppGI4TKyqYUr8lN8/1Z0wI/XaTGKuGH7/p3tuT94cHtf4zrm4pKxAaXgP+aTPVsuI3ekv2o2AV4od3Nv2hXkXBl1srvS4f5efPezszu2zm0eQgbgg06f/JSuIv/neJc7CDzdQ3YPowdy3lF+vgpw08HGd0OYuyfsEp8Blyj2dCr0xOZsapD27vuwj3/1aQOuIU/kOu16AnyqU+eJoRd2bg9kPQgFZz3mfJTfG7nYquXgS/CfeoVf5jGvvRu+Zw68jm6HQ8N15Hf3i3gLZZAI85B7a3E+yEfbj/aYgwe+Vw4974v8fXaLShR44ygFi4wfVl+f2ivrwa9+Hb1HeQO5lcvxIyvgVa1k3i+YdycdbRZ5QCJulGw8eOyP3Met8OxZ8ID7MnyeAcjX2FK3JICrpAWnaQQiH3+ypfQtOFfFdzaOm1g/IaZd/oDvWb8UOYH5KqWhjFQmiTB0o9msCMLWw3iY+iL4CaHnbmHBWK7wSyenghfyXR8yv4X8imtoawd4qauxtnAIchuK5VdUD+GeuEu5eA3zcyYTr46Azx9QZH8fitw86GyrK/jbIh2vlDDkdPlW5Ef/PSffqdsxHKvf2TGqPvBTB1KlFSKwvHdxRZopC/KqfG8k3W3kAtKxLmrg9X1C5H7Mx10rSrzBB7j8DudFIt+i4LilEFzj70iIbxTWf4pzz46Ca8YbdOrewepr3ruZ6xHMl8FmXp5obB/Ze48YgO+d0LL7jnmi8rsXweCRzz/m1sQgtwvRUasCTz9h8y0qFvlzWpu+WfCUNysiVnHIlSZpffc8JhFxrLF2B+OR31M4Lnwa/IyaeMYG5sb8fKQY8Cyrjs72BGzfy6OeNIF/sXenybiLPJAtwfM3uLgDh6xrIpYDLWWMpZ5ArrB9ef5oEnLpbFd5e3CDC1ZRTMnYHNyuKXYfPNTxb+kw5pYVL0U6wTv90rsL72E5sKxdhjabRLhkyf70T0F+bU/g8WPgxiOtbIap2Pvf0+nkCW4qbynBl4Y89MPb5Dxw5tJRzTnMqY9ZfySBTxnZWr5Kx/JPXCobVw7ca3YOusTcR8751cfWAPw2k46vdQY297Uo6m+Bcx0uCJV4gOUQkvj+anDjWKqYTczvtlClLoDfFTK825GJzS+eW1zCT0nE9sXIpAcPsfyzVJB1FvzF36pEtyzkKQ7B8ongJnq9ccceIS9Ppu5vBXcaGr/N/Bhbf9rhsC25JOJ0OSlwBHO1O2zEEXDtzparRU+QZ4U/oroMLqSUeSEgG3lQzuiXbPCn8zZGhjnI+ai6i4fArRbpFfieIk964XuP7RmJSFTN5J/DfHG4K1IX3JXMQ/UqF/meuPHbQeCdnwPHop9h9Tidl1gF7sHW2nA2D7nBP5H8efCenF9p4vnIi+dtPuzPIxFqd5iu/sX8Rafxn7PgH99Qa30oQD7UuHE4CdzGYIQzoxB5QI+dbzt4pkjq+KUi5BOikW1U+ZDDTx4uVi7Gc5eriBL4wOciL8YS5A8XWeKvgos+2KY0hDlDiidNHnhb1dGN/FIs15FTQ8ngTgLG1X5lWB1NBrHuKiARl78cvaZXjvxXvfgzY3DeTzTiPM+Rh4U90I8Av8b+lPwN82yT7j/14AYPBO5WV2DzQvlL5Rr4MRd31chK5PvPpvpLFpKI8uspP06/wM5Vu4ixA/jXN4mJolVYrs4KlsgEr9e5qPAL8z+rT3f2gvNuoxt8/xL5NCmVeXsRiYhaD/BJqcb6le9pFm1wZ+637I41yOf7p3YHgk85DhfI1yJ35dKSfwG+/PWN6rY6bL7oXrOaL/rve6iuf+nBnC/SK1q4GOpa7vf5nFfI+ed0W23AfzIen71Wj+XY6OUdKeAVv85d02xA/ibQ3eET+PM19d/sjdjPDza/oy0hEc+2LPiNY76/avGQKjjXDrvf5a+RKx/8me8Drrcn89qtN1g9GnZJloGfkXw4a9KE9TG56Ppv4Aek7C8INWM5YV3wzJ5SEmHPv/BlEfPVwruUVuDhP5XVGt9ic9NlrCIR/FORXmHcO2x+ae+49gFcX5WH49x75B6nBFW2lkG+zcnzkWzB5tdzVi4CnK1vfWATcy338V/e4Jc/UCt0tCL//SRtugR8T+CHuxltWM68KDs2Ay4zceL7pXbkU+8qZoTK4TysxRHKH7B6GeXdOANuX3g7jqED+bFWF+4k8LBNxZEBzAcSH2t0lP/3/faPRfI+Yv3Notl323PIvYZvLvt8Qn5euLNWBTxOKaX8+Gfk8bva6H3Bt2QKrnB1It+uXmpXDu582Vp6CvNXVaGtP8BnHxm4VH5Bbh+ro7y/AnKL5FxWaBfWrwb/vrQBf0tPdJt1Iz9e9lg9Ffy0GEGztwebL8LK/Z3gN27NSi9jvmH03pexkkToMOiced2LvI3QEdECf1xpHBTfh1yCoYEcCC7nS/XkXD9yxbfiT1+C++meeyM5gPxbyN3ry+DlPPZfNzHnO7N0UvwFiZghs61/GMTqwkqPcABfj3NkyhhCzpGReTgLPIDXlv/SMDaXpRZkB8GnvSkllEaQ84oeU+eogntusqYC/Vfkt9IjrYzAGVwOqPZjHpvWE3QbPGa6TDOXhPySwp7yN+B3tgxqeZORC0e5L/wFt899pKE1irzq0WuFIy8hH36kJTjGsD6cwBV7FZzbkVFuHPMCN/eFAvAcuwLR8nGsnx//fHYK3LNyalfwBDZfZI70ClaTiG7Duq0nJpE7qzy1sgKf5Du4wD+F1e8t/rlk8FiuQz1zmP9mehT1GTxY9HNV3TRWp0uSsow1JEJZkyblzgzyR2qt37TAt5zp8DjzDfljlqsFQeATlgf0xb4jV3AT8a0FbzjMI/gLcx7XOdM1cLm++0vvfmD1y9esIFML96DDxQ3Js8gFkwoPuIIHKpyIujiHnUNyrmgueGx3kMnheeQ27FWHxsDL1whOqgUszxNDOnx18HljIns+Y97tyXnpNPj5iHN3Hy5iz29ySEus++/7xBr0Ly8h7zz2uesjOIQNymPLyCNWTXkYXsFcYOetYFzB5tr6gqsWePYku90g5nWnn7UHgQs13N2et4pcXSRAvg48PObei+s/kc94XilaB68/xm+lvYZ8zihI+nA9ifCtE/3LsY7cu6W04TK47FpF2jjm0YuUVvngh/teHy7/hVyg7xrVFHi4vlFb0G8sX0UzvBBqIBF0KpbWxn+wuuZv9rIGP/NgdJZvAzu3Dx+rpYHPmkz5zGIuwpfL3QO+fNyBsvYv1p9zv2yyNpIId5fz4ZGbWJ43FJ43AJfO7qI9/Q9bP/+T77fBm0n1YcIU0//3WjG9lWbwWFqhLT8x/xuwm47yNZyrrb+9m7YgP3iAV+wYuHiz1vcESuR0x45b+IKXiG87c54KufLbR3GV4K9FFd9JUiM36jzYswRe+WhEchPzoitTwpJvoH8GLSe202Be/CXUBfxSsffPtK3IwzKW5p+C17M7mzltw55/XNN+HJwtraVInhY506v2aYEmEvFEOIlmKx3yh4yR3mfBg7LbTnVh3qkasCMN3O+PS+4jeuSGLnkve8DFWa+tXGFAnpO83ZWtmURQdUwoE4zI9T8XHTQGF9lVF8TEhDxN5Pb6HfC0/l+vBzFvf5b5qQWc52caRR4zcsoLy8+3viUR8iczFa9vR65qHZqtDn58mMZdiwX5lXzzRzfBnT0/PGZnRW5t7phfBx5Fsdo5ivkLl5qG3+BWDn6bJTuQs64bj8q/A4+x2R/Ihnx8mxjLNfBPlg91DdiR336qrVv27r/v8VB24eFArjaWFzcPvvv6oYgZzCXfmY0dfA99O+FW1gtO5BY2WmrO4EcmDrwI5UKe/eJm4VPwh2YHWkx3Ip8cpN43Af6s6Wav4C7kbb1fcoVaSAT/rgOj85hPVc4dOQeeICs6U8eNvCLEvDsD/Oxfnx9RPMhj9BkDBsGfmvL+OM2LvGwX66FdrSTCmmf7tPBu5OprF1fMwRXkT5BWMddeYHidCF59m9z1hg/50+3U9zvBRVdfNcfzI5c4ZxTM0kYiHpyZLrMRQB79Y87TEHzpgdV9cUHk5vVjHnfAOx5yB//B/N+oRGAreKaaoF2LEHLy+c/JtO0kIuviZbV7e5DLa7VXa4F3faPafXEv8j1pAt9DwGnKh5dl9iF/4vBR+A34+wd/3lLsR/6oqv/Klg/Qb2OskjswH0tWeUuAa1z4d/6+MHJ2RhqRAHCO36OiziLIXwuKJNeCP5XdOicvityGnMfyB9x/xaGIRgz5UbOYewodJGKMY5vLF8wTb30Ruw7+4/ronqwDyAOu+7VWgvturPe5HUT+UyncaxVcKlAnUlkc+WDPmsThjzAfv3bK00sgnz/RsXwVPPfPXXIv5j0VDM2l4NmlUeHZksi5GEofLYBrfq0S9ZBCzmNZf0fyE/SBC9zvVaSx85Avf8sNPJyr+AKzDPLArTxhheDFQ9d+DWLO5+mc9AM8JMb1zrND2Hn4s7/0wGfI53RJPN6Hka9nn+h3Bh8W+56jIYu8wec7Ux64ZIebxA455EsBq4Yz4O8/8pV9xZyx7sp9kU4ScYvht3ShPHIXJeufDuBbz/4r9D2C/MSWequn4A2Z4vuPK2DnhCPx4yT4t6JbaRyKyPfeHDHc/4VEhF6kYBjDfFMrc+Ai+OkHj7xLlJAruvdezQb/fciJ5K+M/BZNBNcEeCOFqabeUeSO9GXv93ZBbhyxztl5DLllmHmYHbhgbhTVJOZ5gV7GT8Ct5fqsygnkkRs7hMfBaW3Vy26qIN9BJU6/t5tEOGxrpzJUxdaZ2vzLFvzOxpUTPGrIB5qGVx+Dn+CRTp/GvCjKa3MM3EKZgVyhjtx0OY5tbw+JoD+yKXRLA+s/WyRk7Xr++94D2vPGmsi/VxvaPgFnEhBL362FPGjfSsY4uEDtuc/fMD+oxT+xtxdyYEI+VZU2dh4EPx+5CC7qSycTehx5TR19ajZ4sq6PlYkOcgO+DzST4AkDv4L5dbH1H98VuL+PRLRSRGb/wPyUygK1A3jtXZGml3rIW+hN7z0Fz3PqGgnTR76SryY3DZ526s6qqQHybSINZJF+EnFRzohW0BA5x632VCfwR308XHOYb290tM4Dr2ZfFKwxQv5+IknyO3hv/QeRCGPs966YMR0cgPxWVHLg5AnkYks5a5fA31emiAmZIP9KujNXCD6SH7JvHvNLTduW5sAjLnjw1poip3+4k1JqkEQMFNluv22G5RavBj538Co7s82TJ7H61YOrLnirhcaMkDl2fgT7/ZfBb56R+TSP+Zk/eg2Hh0jETvXd5bUWyG0HT2/3Ak8gUyXcPoWdqyYqlxfgNXQTl8xPYz9fpftlHXxvTL36Hkvkv15KHlccJhESqgmcC5iLtZW3+IH/XjkzUXsG+dpsr0UduLcfT8ltK2zO7s1Y2gS3yPnoZX4W+afL1GkqIySCT9tbYY819vOdzIbB4EySrOvzmPMZ1DE3gctJ3i+rtUH+jswyRPOVRFzZyeV0+xzykHj6Sm3wUzU3eczPI/c9m3//NrjldG+L0AXkhVorsW3gjy/zeM5jvs1wMpaJBHlSUJe71hbLjZ7B943Aq9sv1EbYId9X3VIRD96pamd58iLynQJ1g1/A3xkZrAjaYzkh5ywzJ5lElDXzRs5h/sGgwOAUuPfVzzw1DsgpOPNS08Dr9zo/C3dELv7PYmkInCJ/QsbMCZuzdC8s+EfhPvJFrUrAGdvfQ+9bzoNzXbqpMIs5XeCd40/A69QyKl+6IF+doe6aBP+1N0Uy7BLy/Z4yl0THSMQ+0uUnJq5Y3uPlZL0EflF1Dwe/G9afx0peF43999/PlgZ9xzz6LVXQIvgD0Z3fXlxGbt+8Xf/wONSjjoVhyBVsv0a693iDO6m5Fhm7Y+tntaCtBo/9eop+91Usn59J/LUBzjK788IM5v+qY9aICRIRJldQUeGBXEtSm/IWuGU4K02wJza/Kl7tegv+Mk/b2PAa9v4Nfh6lm4T+6WJwj9sLy+1Lc2764OWJggOTmF948qwgFjxx4fXOcm/kX2yE1zrBw3SkTAOvI78j5GTIOQW52snxtp4P8sWZy2WnwRu4nWu4fLH1lyvvyQCP3n94ZgzzPL9PD0ngHubNO0r8kAupHDywdxr6swfvkRs3kEf9NX7tAC6tfeT0cX/kOSWEfT54WyqXF3sANjfNf3HOg9MffhlDwtzgW0CXzAyJUBvheVwQiPy50+cHXuDx546VX7+JPPjT4rVq8JFg/nqNIOTd3OTTm+A9jK/esgQjz9Z4qKv2jUTMN+9sHcK8XUfqeBi40zWJltxbyKn2J5i0gh8f/fvGMwT5SNdbJ+bvsO9fQqtVQrF8eOJjtAm47PbmAsYw5ERKwatkcDmr6rQ+zPUe22wMgIfctAt5Eo7NKbcZLf4fJIJB7bXTlQisLy3rPrAFD7Tv1FW+jfV5iVDKXPDz5XeFaSORn9+V6vEDfHGWmqILc57i8EWpWRJBDO7tyozCz8mJG9fA+VSWHrvcQS7VtM5WDS5GdrksH42dc3n/qk3wluA4OaoY5HYEyUl9jkQIz1j/6sBcs0tIJGLuvz+H6X6RFovcYUFzuR28mG3F3T4OuWu0bhvrPIngtqkSlonHzv8T6RJz8AZ/wf6/mG9IbmSlg1fISIS1JGDnViT/IQm8U2VYIukuNtfCiIJ9C9CfncW/nEtEXqle3eQM3n11t8fBJOTLp3i/FYOf4ilgXsf80yt73lVwhf192W+SsTzgmnZGcZFEKJ18eCT2HvJE66qngeCTTlTvLFOQH7vdSNEMHrWP4sT+VOS0k5X29EskQkUnqWcRcwrX1H4j8OmkRou6NOz8cDqfTgIXbr/VFZGOvZ8+0ckB8MsFA/pm95E7F/YHCixDzvnZ1MCfga0/0ne/PfhzF1Wp75i/dGQayAf3bjVMr3yAXO7Y3bRF8Ped37cEZyL3pGRylF8hEZvqXHYGD5E7Ffip+YMfHv7YuDML+YIMSfQN+Imz7DzjmL+8o8RHt0oiNoLHLhc/wuZFSQy/EXgeo3KD72Os7hIHxJPA71XxMmo9wfqthIDOIHiTRogpazbyH9fOuQv+JBF/3dyThzCfsLmf4wD+aWW062kO8vDRrulC8Ht3e5k9nmL7u0x/ZAXcg9ZQ41gu8oIIIlFxjUTosWheo3uG5YR7Hn9vgn90qMnqwryNPdfjHfi1tuKWzDysvn4O/2RaJxE31gRmnfORi0hzhpuBTz1lYpQrwOZd9Ym96eARKZ77txRifTI0voMMPhdiptyO+ZHbPaEiv0iEj0iBwb0i5FVVgrqXwXWO+VpeKEZeS+vJUwmuF1R3QbwEy1euHb82wGUKPO3XMZcclJ5Q/w3vx+fBxTel2PM1M4cjwU8+VjgXU4Z8/SHX2GfwoTEN89PlWD8npa/u/EMi+ldeae99jtxw/SDHOXBybM7hecwvDLapPgU/6fabt7oCm8v+Pn5z4JY6LylCK5F3fZJ7LbsBv7ef/NXoBXKrFmpOf/C4vqvV3FXYek6PezWBL/51jpvA3M2zZ5zhL8w1ypbzJS+xfWccsjEFj8mIkvCrxt4D28+pNPCc8NKfmjVYPvHf5z8KLnRdoZqlFjv/ii78Ypskwna/kM8g5u+Pvu9wB4/VcT6UU4dc1udo1Evw5BSWmSuvsH440ma25R+JONjKlqZUj9WjtecBHfDPiVe1tjYgP/1Dfns8+LuiA3OfMF/25qLoB+fqOBqf3oj5EtumAAWZSM19Kmn/Guv/hhJ0TuDkZYcWqTfIlfwcBEvBzS/6W//BXM65QesX+O6yybnmJuS/GRR9VLeQiX2xj3zjmrH+eaK76jb43tLiLWfeYn1A9C5NJ3h6O2PIvnfIVcM8bbgpyURbUtWWBcwrzX3fXgB/3VDqW/0eOU1UtmI++Mkta3MhLch/7lirWQbnZgi3NmrF5unIZV1lKjLhGX+uZVcbcukhlskQ8GjtYMlxzC02BmI+gJuSvsUVtSPvF/+owUlNJgKYU2evf8D6hs3cNhvw2yFRmuod2NwPUuh7Cl630pDC9BF5ws3SigVwQdYjU72Y9+hbPFSgIRMxUfNSjz4hd+w6kBIMnsoxee3SZ+SPaaQy2sAfn+OulOtE3tBhV8y+lUz0745apPiCvGN3W8dZ8P2bciJtmNeRbP/kgKuU8VomdSE3pZGSXQB/+k0x3KYbubyP1A2FbWQiwyKuWLQH+bio/adgcPFnPF+WMX9B3SndDi4WO7hY14t89KfnQw5aMiHxsoMhog+516wRrw14Ss+ygEk/8rPdttm54LHJOtK8A1geSy9VWgKnyu1QnsSc5aDiVyU6MpHzMki9ZBA7tx6bsaHgqz7nNX2HkLvY/DP4CC5775KaxjA2XwaO7tpFTyZc67MUmUeQ3/xcvXgB/MrDf+J9mHNKefcWgHdPhfA++oqcbdSj9Sf4LzWprZdIyNm/lLaqMJAJGhuK77Jk5NFz0n2R4OTp5dZ/mH/gX13qAteMpstpGcXy4YkNbn5GMpG7Tty4O4Z8/5Xjxk7ger1JBmfHkQteHEgoB1fopuMWnkCex1M++hdc+UEaeQFz04AvxHEmMjE/rPWkehL5bW/lvATwPILpQsgU9t4W5wSHwRPcfnAbTiO/1/M9R5gZnGOsg2sG+R2WwwpXwS2/zvuTMde5/b6vFvyCF6tI/jfkAWJ5odu2k4mZEK0Pnt+xvjHcT5iArz6Pdj32A7nJnVPbMsCNSiZoaWeR3+UXHpoCjxEwyPyMecxNrVcyLGSCtvi1VPocdv5TXhT6g49Sa9bZzSM3N/LLew++2dqpIbGAPD4m4TkbK5lgyXN+t4a5w7HNNmvwSF0GzcZFrC9p1y88A882K6+LXELOH98jtArueOW8tNkylmOpNS+o7IB60WR/uHsF+dUIhuIo8Pd+rXRTmPvRHKDrBdevDnYrWcXmzoUnV4TYyIRarlKHz0+sP0dcn3AFj/uxLKK+huUQq1yHl+DD4nkBjOvIg98dXqNmJxOZO85+7MY8oZgv0RicVpWBJ/MX8jd/7I/dB99tU37e8TfypgTmn1PgGTvMHkv/wd7DGc6aQxzQ57f8+PobczmlwOhA8NGPPlxNG8g1dum6toGz793Qif6L3HrQ25KLk0xEPHL3Nt/E3psD3Ulb8Nn5vkz+f8g1H/+zKgZ/VgJTE3MfzzNX/4CvRHiTSylm/u+3GnYnaXPB++ct+O27BXnFJe3mu+DT2z8wa1AiV7bupySB99L072aiQr7Tt8vg4E4yMZXVIdyD+b5shZzr4AfDCw5mUiPf1UTH2AwefMr9oCMN8sAazUDWXTCnqniEpbcir7089+8seKFOHu9vzHc0U8fkgfMU8TC92YY8MfO26Bp4S7jbehQt8kNj/p3q3GTi2vWsETM65JUeoxFx4I8Ey+t30yOvO1ylPwyevPdR+iTmr+ko+MR4yIS9kOvVYgbk7D3VG17g4zU7NK4zIh+5MTP9BrwkPp5FlQm5IPnOKAsvzCON6V46Zmw9E9kzZ8FDPDjSOjE3cpXdzAN/Vs9lkb4dubelssA6uPH7WWY7FuSxsTVGmrvJxNrB5MaDrMg/z5XfSQAfu7P98irmJpb7e7+C84ef4nq1A/l6OZukOB+ZuFF9uTqMDfnt4RuJvuBxzaanjNiRZ1Rd2PYe/JUW1SIXB/Kn+9+Gc/BD7hq6EULCfJ42l8MWvHRP/Y5nnMhTVehKS8DZa96nu3Mhv1/07fQmeAuRwq+4E3nrIQMWfQEywWB08AHlLuQfSqS7UsG/ht7iasN879bU7ClwtqD7UXe5ke9nDwmRFSTDPfTa7zM8yKlrlq/cAs+UY7bby4u8aWDa+TP4ZVG79z8w1zC1u8ovRCbunPASrtiNXInaIdwVPFNXPcifD7nsh8VnNeDcJS3dmvzIU6JpBuj2kAm53bT7mAWQZ+59zHUKfOHgX7cezK3c2y7kgG/3fVr+QBB5tUlgzQo4XybNsr0Qcr+n9YLqe8nEJTlOcck9yOUNo5PiwTkHes+vYW69b4aTBP5zj058/V7kcgxd2RL7YB8LHWvC92Hnf9hQzR+8gkWWZLQfuY6f5Y82cJnJgn9cwsjVG9cec++Hc/iuYxcJ8yvRwk5O4Er6qRK5Isi1674pVYHTMTMcuyKKnEdCjXebMPSrJ0LHj4ghZ6mToDcHL88d0ac4gPUr7VKabHCv0qP67zGXeNbKvAL+yvyYVtxB5D31fvvURcjED8mviqfEsX1xaNZJAJfq4hMTkEBOupHrRwb3HvjDNo156+C+GilR8H7P9WJJ5DbnjtHeBC9xiOj1lkJ+Y3LpwkdwWx7ZUkIaeaeORhufGMyjSJ/QbTLIv188pOoGLqZnZvYR872cjU114E+W3uy+dwh5mezcSaYDZMKB8x3Z+jDyrMyaFSvwRD2rh/tlsX4iIZZVAM4mHHx6DvPfdYpnNsDTjsozVcohfyY8J6R/kEzc2+Nb4y+P7buW5no6uI6rjp3mEeT/llUGv4NXFD3exqSA9Q360TYlcTLxwC88uwvzNTvR1ijwew7LR+8rYu9nkKtnEHyJZvKTrRJyNp2i+QMScL+bOWt9QBk5f9gs5w1wqpzTk0uYH7rUo9cOrv6h17H6KHLbLqcYXknot4s9E0HHkCffyx25BG6ac/KsDoE8Muauch24yQ2TjywqyL/EH8hlkiITZTTtSn2Y9/u4C1qDb3xpeJSpinyQzz63CPzGdUlqBzXkP07RH/0Hrh7CeU5CHXs//6y/GknDvSbCs3IV8+rvdrEPwfvZj2+r00DessxrsAj+rDrWJEQTecx8+E41GTLRSqeboqeF1WNlzmICuFTCtb4d2si38fv2jYHHjbGwDWBeTUH14fAhMuEUzX086zhyXhm1j6Hgf/nivR11kDfcPvK1B/yMsEeWpC5W1yOTG8KHYQ7K1jf/xFyHxlDEB9yj12O8Tg+5f7fb+VZwofuxf0P0kSfs1c3lkYX3ycrKqm+AXOs9aeMS+OXmn3xshsgPJB+yeQWeq0kID2D+xFb943Y5MpHOPyOaZYR8lobV4Dx4GGlpv6Mxcg6TjL4ycHuOM3ySJ5BT7J5xp5YnE1v1BFh+Yu6ktLrTHHyFSXWj1gR5X9DrD0/Bg77VjN4yRf686UTcL/CWS7FvdM2QS/c9Pqd3hEwUCFQ/YD2J/HTcy2MZ4B3xip59mDM23hWbB8/Q266RaY7879FDe1UVyIRuvxyzvQWWJwdSDtwF72gu7jx4Cssnzs0qE+CT6dfjlzGvbXhpK69IJnZNxupWn0auWuKVeBu8WGLl701L5KsMfzsHwav/Pc7XPoM8PMeAX0IJ7jVjGabMVsi9TJx8boIbXCCtdmG+a9SY3AnevdU5If0sNn+FaSz2KZOJT6cVRC9YI19YCRvwBhcf168WsUG+xNPr0gqeJfFYcx5zdbef9LuPwn2/UbGt4hxyy7qJF5fBA/bt0LtxHnnoQPbV1+BSo8LNaheQjyXLK3Ecg3tBoK8CnS12Ht6kszqCc4fS5n7EfETqy2o1uIrvJ5ZkO+TDxSNTTATM98lPHlYXsf7DUj91DjzEiPazkD1ymr3XVsvBZY9eE5nBPOzlFtZtKnC/k+X0LXbA9ivroqIl+OSrmeZrjsgX87LcC8F5bOYYlJ2QC+dUVlKoQr2nC+lTOiPXvJBNZwbO+ick7D3mwUVuzk/B87aw18S4IJ86zdb/G3zgcMeM2SUs3x5KPGmoBu95V9kOHlfkV+mWvmaByx+GKsa8NU/8+iq4G92iyVM35MUT2nw66nB+dus4u15Grh+h2nkf/P1yk9+hK1gePseTuACexmIb/gvzK8o9thoasC9rgtH17sgdZq6qpoD/E6OIDr2K/OfhpYM/wCckNsL0PJBf/GG2X0WTTDSGsvuxeiL/OJQungguWqbt1Iu5wJd3atPgN+QST2RcQ77zfv9FZS0yMZS4fsjWC/lx6s7kOHAZIw8WUW/knH2l3ePgElOUU3OYV4/5CClow9wZyX7x/DqWe5fF/KPBiyosg319kPt0Nk+Qwd3m+LVVfLH5a6BnJXcc+gndCs1WP+QlErWkSPCOsO5XbZgHqO3y+ApuPPXaPf4G8lJTW7bDOvDe8qr5LPyRHxNPb4wAdz1R08wbgNV1aqP/MHiM5Rv7Uczt7Hq1ZXThHqr5eUtuIDbXLIb5w8GpEsaSXW8i51buohkCD3y1vu9QEHZ+hmt/SemRCZLO9uJ1zJ/RpPwJBc8t2yfzKhh5o789wyA4v7di8a1bWA7cLioqpQ+5gkN/v04IctkQklko+C6G0/eYQ7H+lh0dMwBO32ND2YX5XiXpHkkDmEfL1g6pYVge3t5+IBS8jGT21joced2MdewAuB+3Cv/eCCyv3v1GIWVIJhJ281+dwdyg6/LNUHA3+4VXRbexnOw5zzQIbuheRuMZiVxR2fmZlBHcv6pttRSisLm2RDIJA/9WSxm0iTnlOTP6IfB/K9EVb+4g36HX/FHamEy8HaYaj4hGLud3+HE4+LmlC4yGMchdXjwKGQbPLnwmwRaLPOgti+ehE2RCM7JHtw9zzsuB7rfBsymnz2XEYfXuPX/jK/jfuKErF+KRn8o5nyxrAs8pLvMVTsD6f2NPXRS4Qq9jwA/Mw2KMlsngNsF//UrvIk/80i53xJRMUIhd9vBKRE5nbhQRAy6pXWunlIRcebB3ahy8zmTMiCIZuZmIw0klMzKh3zx6uBlzPcrNT/HgClwv2SLvIf8mnmE5DV7UYPfDMAXrk5c1l46dhP6mMP6KLRX7vHfW7iWBF/2SjerDvEP7ud4PcNvrp05kpGH7Yn+DSd2cTPw5qMt6IR3rk/nGw6ngvjF0bfvvY/NiULpmATyfLSngO+b9VQJPtS3IhMCh7wdKMrD8v40v6wG4uC39F88HWP6JEnu2Cr64a9FDIRP5BI12vf4pOJ8fMpg3Mc9X9Bx7DD6/xPz49UPkbD/KOP6Aq1CoS4dnYXU6RGVucppMeDofean3CDl7h8OTZ+DhObOKLI+xPB/8lWKLJZlQFD1f2YX5g1oXl1PgbA7xB1KfIP+nzDReDH6m60ba2Wzkzs1NztvOkAnhCUEqoRys/3Pd/WcNrs8UeHESc8nl648qwZ0bEhrznmJ5idsb8hOZGHU/w3U5F/kjg5gd9uBfE3vtDz1DLmNQ/7UO3PA+Tcka5h799DUcZ8nE1O+xpZo85LfK3J+4gu/Z4y55Mx+5YcpKejO4enj+RY0C5HG6iVm7raHPp8Yn0RYi74k4UXENnK1NsL4dc98d4r0fwPljLEfjipDn5ghv228Dc8RU8Z9ZMZZ7qdU0A8CPRddz7CpBbv7tRnwPuEn+9L5hzI9w9X+XOEcmnvM9l8wqxea4joVZOHi3hcChi2XYXCDWW7+Cf3t7QEq0HHt+Za3RkfNkYm6wa/8s5ouXskfjwB9t5eYqfY7lZ4HyWzPg8ZW/KK5VYPsSMymjdoFMUJ+5On6kEvllT5WFNHBW2+DGDcypYxtrlsFjjoqkNLxArpbunKRvSyZ4T19wDKlC3ntS2T8bXGCvpMzxl1je85P32ARvYoxeZahG3v7OytvCjkys3/Qt+4j53bWC2yXgHnOrjndrsDn+ViSP7iLMndd/d1rUItde+NR3AXzFOe41dx12rqRyOGrBtc0KLo5gfkrt2TkOezJx9bsR5aNXWM4hD7x0A2fO8Em5WI88552S4Htw925hEdEG5K9L2pMFHcjEK4rTpT8w/20ew+0H3hPJcLikEesPnkEFXeAuX4+WeLxGvqUpR1/CkUzMOM3tk3+DfHlz83c4eEQST9JvzHW/Rr4gg2t9ePO3rgl5Gp9esJITmRj3m7AJasbej5fKmSTweYbAGo23WE7OdFGbBy+bimGhfYflVdMP8jrOUF8+bDZtmF/WtVd6DO4rxvA05j3yiKPyBn/BN+w8p0+0YJ9rQsXVwoVMiCUY7OFoRc7061Z6KbgsT5JFH+bPpbf0MVwiE4xOOqHpbcjfar0Usgd3HHcssG5HPjZf4NcA/nZ1sV3wA/Lr40Oj3K5k4hLN2OQ45g2DOqeugV/wU/z9tAPbxzsrgx/Bvep/bnX5iNVd0bCrmBuZUFXgZJL4hJx3jYY5FJzX+B7jIuZhu91qv4KLulynef4Zmy+9nD6Kl6EvLb5Y8+pEzjBEoZEErqxjNqbwBTkt6eDuBfDz/XrvNzB3S02n1rtCJn5ty8ip78Jyb53B72xwSiWtgOBu5MyUGpsU7jB3+jSNNHuwnMATyGL1n2um7aLtRc5T/0/qBbjRlOpwK+a6WW9tdlyFHLhHKS26D3mSV9d9V/DX1iHGxv3IFZZFp9+DP/7LQ8E2gFyr7Z3qXg8ykWRH8awb88SyomeB4I1rknopg8jbrL7yD4IL8DybtBxCbuVv+UTOk0w4yTj77R5GHv5OQD4BfHeWOx0J89NzMn2z4Lda6+IejSDPexIfrnONTDxhNWC9+BWbgxlHNbPBzft3RwmTkB+IlGfd4gX3mhCJzRnM6flufrcCv+3p71xARv6OfmdXFfgdRrpPbqPYXKCkaGP3hs9V9FFCegzLq5VHPl0BX6v+GLaMeVzv67F28KDEbX0V48gFd2bSiF4nE1vuXxO6PoH8pUiHbCj4VZmd9oqTyCWqjT3J4A+qZh9tYM7nL9x41Af6f+xK36sp5CuCprxp4IKcB2iDppFPneoK/Qk+URgrpT6D9b3P+X9NfMmEUqWACc035BvKA7eKwVtjhi69wzxC59xORj8ysZncePP2d2zuPD1W4whOK9ERrfcDm1/UXpeawUfKKBKZZpHbsG47KHQD6ijE4u5HzKlvLP0KAM+l+BwVP4flw+UjPYPg9mEu/qbzmO8bbDjiTyaiPPY5ciwgl2rof5kE/m3fX71ezBWuyjYuge/+syCSuoicZmauxygAzpvxv03LJWy/Orf+KQA/fmt/B+8ylicH/MXpA+G8Ldglj2DuXWLm5gB+fqXK4uEK1g//RdU1gZO+C+y4sIr8zrW9PEI3yQTHofTmPT+RG7ziCw8Ep9y//+oE5lZhfluGwT0FGrieriH/4qMUqRgE/dzfodJxHXmKho1gCvhiKreh2C/k1glTb1fB3T72jnzH/CFzt69pMJk47ZPhWPgbebadyNFS8DNLTt/d/mDznRhl2n6LTJATlRykNpDT6VLNXgIXqmEZWsT8h8SdgVbwnfVTOuV/sXWm+PeIhEC/+v2qxHMTuY50HykMfOltIovcP+RbH9//NQ6e5+/gtIZ51r02AfVQMtHgLVtTRfENzamqi+ZZ4CzMf2l8tyDPKXZJ+wcun1qro0SJ/Om+kR9nw6Du3K+GbWBe8qbOoBbcbZ63to4KeYQMQx13OJlIda7+FkCNvIb7naIPeK+izg4VGuRP9i697QXPffFOZstW5Pbrd87LRZAJgyOH9V9j/uNoCn0S+Ge2aOtb25Av3Gd/vQxOk/XJSYMW81rKCJPbZCJA7q8rDR1yBU1bq1LwdDFWl7eYDw/JESyRkBO+0J8Pp0f+SixA6jI4bfi00XEG5MHdClId4ItpufJ0jMjTbzkfE4+Ce5ydzs5WzDUHWc7cAb+i0LIYyYQ8JFg87Du4utv+Jj1m5CL8jfW6d8jEtIVNLON25K3m7dvywOd0r5p+wPx9h5E1XTSZeJZ+liWGBbnJQf03juAyD/jfGrIiP8X+Wu49uGNOpef2HcjTDpRVCcfAedsmyPsJ80zO3Trh4IqcZ2vj2JBX+lBNT4J77nU6eYId+a/1i0lasWQiJVR9ipUDud4RzRM54LZ3vrl3Ym4xmMWzNY5MWEVZrSZwIo8PvbFyEby96567KRe2jwPdg83gb6rTJtl2Yp/3RtHnffGQc2JtzbowL2be1hMK7v54oTpxF/KJQ6TpCfD9OircJ7mx9cQo0mslkImLn42vcvAgl2jgVMwB3x0t8KYb87Mu165vvUsmtn0oZEzmRf5A2qLZHjyd/NPQfDdyr+e1Au/A+Xl+3+bkQy6dlBMpnEgm0loq6nowH/PkoIoAH1IW+ZbMj9xxhS5yGty7yWi7hQByp+ch/DpJML+KxcS5BJGfOBn25hn4msEL9V7MT3lv96JPJhNjs8sm94SQ+1YLyLuAK4+MWFrsQR70qnprO7ivq9cZrr3YvguNjB+8Rya6ZqrMejFXDI/6HA1ukPVE694+5Bcj37TPgeeT5aUt9iO3bgvrMUohE37rV9i5hJH3THfPlYCzHTJc6MFcLaiUY0cq5JmRD03JIsjHZbj1PMAbtefizUWR16ezxHaBn6sptOAUw/rS6SSybBqZ6Ayl5+zBXIT+mdo9cN1lyg9JB5A/09UvWwdvMkq6cfIgds6rAqUs0yEnTNbv5RBH/m9eva4G3J86qLkL82sxqad23ycTccs91okSyA9KBVEGgmv/q18wlUTu4P6nmgR+46qiH5sUcqk52mC1DDLx8Z7GZifmp9XyLJ5k/PfvM4d8EqSR36AjKW19QCYOCG2ZOyGD/M9InoQjuAlPiSXrIczPMki1gnfPTdV/wtxNkFLlYCaZkJrM2R13GDldU6x1DHi+7ncPI1nkOqTnUQvgxhfLXzPLIb/KcvWdyUO4Fwf8pevAPHbuHWsFuDjpnU60PHJP9hfOXFkwlz+zBOsfQV7Fo9LpA56d1lPGoIC8OsP2+BD4yi2uoVbMHx0S+nDsEZn42/X5721FrK69bpzLApfrptqpo4TV9eZVSurHMPfb8sVolZGT7LaW24NTUryXfYe5nar81RZwuypzhbCjWL0f3Kpy8AmZuK9kLqt5DDlnnQdvLPiWT02i1AQ2l6NublsCL695yPkG86OS4ltOZpOJexrTf4JUkG8c86WrArcqSe1XUcXmxQlHAZ4cyNsa5cX/MD+xuaYZAL5D61DAKzXk9IOivmTwY7+5NP3VkYsHbNZqPCUTtdk21MoayF/6ezHngnNF09b+xtzzcoIbQy7cs1ZYLr3URP592mTYDdxXwJv9uhbyy4FVlp3g/mYKFXLayLnev5mUfQbns+uk4Srmry2uBaWCXxxr/Vp+HDnrmw9if8Fnm5Kdrupgz3/wYfRcHpkYrXnxXUoX+7wB1541gW9jOGg/j3nPanOASD78/MpiX6Ee8ujU+gt3wBtrtmlc0kdetHHh5AJ4dZbLUzED5IFlJeZmBZB/pnmoZjCnM3xmXwV+oJPT4qkhct4LBqG8hWSiONPy8UUj5PpBGWU3wc8nTEztMUb+82ja3Di43PeKvaOYy4tpKOgUkYkf31pOPzyBfKU3PaEQnKaTP9zaBHlfX9Zv1mKYI6SKAl5T5MavzN29wA0tIlsHMI/fVfNzANzuWjopxQx5kt/HSKKETBT5Ts2Zn8T28Vqi+BPwqJxLq+zmyO8n03+lLYX3cER0pRNzlysyma7g/m483+MskMclMLp1gh+JUB0wPIV86E6qnnwZ3L/epDYynkY+Odcvfx+81EYoqxXzrcc7ZLaUk4nXqf3XIyyxPiDsrWwP/rW47rjWGeQfeLrN2sCffm1nobbC+nz5tJ/UczLhZU/zuRHzcwFlpUn/edDF24FnkfPTHfr5GzzR9bvCUWusP4w665yrgHuBQ9Lob8xN7lnmN4O/yT9/q8oG+70VlLz/Y9NMoHL69v//KWVMksyzBoWIzOFEKmOKBslUSJKhhEJIkkQUokGmMidTqRQpZWgwZR47j7moJImG/77rvn+/vddv/e9ad73W63Wfb/d5ztln789Z9/ZNLpb2r7HqsmY+7z55C6L3sN7QaFaCsTPv2Qs3Gvxm/dHuLUMrhH5OfUau01V2XtjlXj3vwnumnex5k/UXe7QHeiwQ9o3cfv16pxRLuzYcPGawUJhzSgdV7WQ9YYa22mehN7Wtyv/Jepl11rK4RbzHb/e+PDO1WLpzftVtZ1fhOWp78dR11n1PDunYfbFwjmw7e04njT2nqxsveC30eYsW3tjBuqnNh7hIN2FdjX79vpz1a6sL3tov4d0zsk1rh2vs3OycqaHlLuwbjVpYZ7B+eEPayIdCX6WSfUg7vVhq9zBtduhS3m17j/obzPp7mxtrJnvwPqBqzaJy1n2G5W5vuox3i+pV7+wziqWOaQXhOUI/kmzslsH67dZF+7Ys571RenKD9nV2bq55FiqtEOau3XXxO1g37/50c63QH6U1dapgvc6s0D11pfD3bz3vNvNGsXSo8/Upazx5HzpkecV11pu9Oa5n7MV7n313H+lmsved635/yoT+0q0kayfrt6snZp1bJazzkUU3K1kvyGi8dYm3cG7u3np/1s1iiSwvjdZbzfvgstqSm6wb3p1UJgs95N3o9gZZxdJn38KDh9fwfveTpc0e1oNCTUbOXsv7ix2do6pZ1xu153EHH2EetkmtmJvNnver9xY+EfrXGz1n5rL+aMjX72G+wn+vk12B4S12/pZ8XW61jvfxp21t9rO+pkXe5+brec837PGhlvUheTtm3hZ69LKUwIU57P1xbu+bARt4/1HadWg+6/7VsT1N/YTncYBNlXFusfT7XplvrdBfpk7PjmZ9e4sO91I28p6krn2k0e1iqVtpW83Vm3iPvJgVspT1BYc/2wzcLJxTuoO2PWa9wCEk+LvQHb977ja5w+YHy4aU0/68bwvZcvI467lHxr5ftIX3BVsWFra4Wyxp77du6BkgzIczOqh4sz7Gvk+7t0LvuSV2wmvWvdoW6ERtFeai0Oro8ffYe02jYX3tA3nv+Fe7/hzrrtNdDTS3Cc+Xhc6KtnnFUsZAx+6FQi+t/PPDj3W7Ry1b7gji3TfgmN8n1lcs3PLTfDvvM1b37Dwtn63zDkn3lYJ5j5i45vZV1qu6xMVlCL375qNbehQUSzeOTfX03cH7joPHpwSznvM8cciQEOGc1fTT/cm6/o87FeVCN/fo39KpkO0zrQ/En9vJ+wHdlEa3WHf36mDjtktYV+mdmhneL5ZWjZn8SzuU98kX7LtGsK4TZ7j7ndCHbfQwbWA96GFGz+jdwtwVN9vL7QE7l3/VnLXfw/vpI70vP2TdYeR7Q80w3seUFyibPCyWkh8sP1kg9Fka1s5xrJ/8cLxDcDjvn/3OF7Z8VCxpHffzH7+X951JXyetZT1x+N/iBqEnGSs/fc965cP2I6/tE5477z8rJj1m78XRRcFr9gvrqjK/wxXWpcz+DwdGCOeC4eYHXYvY55fpaHwXeptDmgeCWJ9ZcNni1AHeHTK2elSwPkntlfeCg8J6bvbM2ulJsdTZ7mBUt0jhd/1rNj6H9bRHX6++EPq0Vt0sBjwtlp4nFuTvi+L9XkYbh0jWq9uNezEtWrjv/iVrGj0rlmYNMn/TPIb35Y/j45ex3rLfk+c5Qr9kaKZ4xvpHw/K8zYd4N212a8C452xOdt6XbBLLu+o7/ZBzrBuV3zj4W+iJvb2q2r0olgY38vS6eJj3M05HlvuzviY73szjCO+9Ky//LmH9guNstd5HeW/lmrDL/iXbT36E5xcLXaPfLuObrD8/bbk15hjvB9NnfOn7qljqecXH2OE47w9Clc5FsN5miM7L1nG8n+h4YKPS62LJxnaCT77Qsx9rzfd4/Z//PUvRMiie93Dj9dbPWNdqURk19oSwbhPvTRv3hj2n5au71wo9Ib3R3ATWlVu7RyefFJ7fh3rrO7z9z/xcoO55iveRCwafDGB9QHSsb9/Twtz4qZ/8g3U/m1evPgrd66FGv1nv2Pn1yn/IkTO8Bxx4vzWH9eI5e7bNOsv7xoSYUqP3bP9pULmvdY73wCDzBTGsP1e8Ub8v9HWRr740KS6WpgzsaBGcwHud/Ty/Vaz3UUvyNjvPu4fxwx7vWK8/mBhVJ/QvRwc+niQXS11rG6dcTeR9Slv/fcmsH3dMzfe8wLsxZS7spSiWvJ/cet73Iu9/in6YhbI+Zm/v1x+FfkVVfdBf1r2S3z09fIl3E5VuA1w//Of/p1pyx/GysN7GdTd5xPrj1AmX2lzh/Y6Rpv2Yj8XSg3dV4QVCHzS2etMZ1p//LncPShLmhw+FKe0+FUuWPYePHJsszIE7IimAdVP/u/RP6PXHHRzKWE8Yfvz6lau8dzvaLMPpc7E0fkn2quUpwn2pSBx4h/Utg/V76Kfynq4yOWnwFzYnX7ufXSz0ppNeWR5lPbN7ytzoNOG+GDl/bfm1WDrm/67c9pqwD+u9iVzH+mel8evU03kfHT3N8TPrVZmKv7eFvrA2pbftN7bPvE338s8Qzs2Ujqo3WS9eX1A88jrvWqO8KgxLiqWVV9tM+CX0e1VZpVGs613cFZ9wg/dl09Wqm5QWS7bbR/x1zeS97LqVxmrWm81ua9HjprAOT+4YLrOuP7l78AuhN1qXuWLad/ae7m2XHZ7Fu8HR8qR01n9VJf2anM27XXDnFn1+FEsWP8Z0Vb0lzJ+xY1ccYH38+h+jrgu92eQFskpZsXQ5LWvG2hxhv/q3eaEX69r3Up2Ncnlv2zG66h3rX3Mfun4VenKrS/unlrPrUNh0wbHbwrw3MXf8Ndav1862d7ojzNUDnisbVLD9cEW+qdZd3g0Nv9yPYD1knF2vAqEXn/l9VuVnsbQ2vOpv4D1h3tZUOeDFer/1Z++NyePdKF8j7D3rmzusDqsWevjYrlFWlcVS423W0y7k8/78pcGldNb13pmoLCngfRQNe9HnV7GkIg250LOQ95SO5q0iWd+fOXLGS6HXhdraNqkqlvZunPQ9/D7vG24vOrWadf+9LhsnP+DduY9viw+sn+vo31jlIe/7uu32m/6bfZ++cYHpQk9rfqo+k/X84rv/vB8Jz6/drdAB1ez+OpS7GT4W5q6FHwxjWf8X17bgo9DtDjV9rfaHzT8fhunHFvHu7jowcj3r2YZ26+yf8H5RZ96ib6zHRC3NVn/K+5DR4aaONWyuMPNtdFvoN7Ty+txhXdV0w8hNz3h/2qq5zrC/xZLaaS+3Yc+F6xk+rd8J1sdFzNpVJvSFSjFmbf+x+ar7oNMnX/C++0bZkq2s33KqvjbvpXBeG00+XMn6fZdTOe1f8V5x9bzCpbZYCphslntf6ONSOg17xPqVfrkZQa95t9y3O3JsHXt/6TrgnPRGuF/nW7a4yPqDQRvCqoWe4LY/pEd9sWS19eyyxLe8q+j27ryH9dW9r5kufifs/+OzUxtYVxl0unn397y/MHBfvKKhWNqWuirvqdATB3fRecf6pMcdAkKLeR+b+6LMimRp2b6IgRYy7y2l4/eus/6odcnTOqFbNfhc6a8kS3rztVYlKYT50NUpIZb1t3s1Gi/7IMwPTyYlqSvL0tCbb3brfORd86xl/kbWh9f6arwWurrF9J8/WE+aqQja+4n3SNWlvec1kqVx39r/nvSZ96kTwpfe/0+/1dZJ+Qvv/h53rksqsvS+5mVyqtDNH7TseYF1zdhFzTy/8r7ooUt4D1VZCsu+PF3/G++uBbc1w1j/sCE7/J3Qg3uOPqbUWJZmvw6/G1HCe26fbFMv1tV/da+eWsr7E/NZP2TWXz5x66z6nfde95XPzmgiS+57lw5NF/rzXhlrbrE+ZIzehFU/hPsbE2wzpKkseX6OsO5TJlzng24mJ1jXO3JtWrHQv3vOGty+mSzp+IabHyzn3S1g3qjtrDds6ThoWgXvpO8zo4b1doVWbRv/5H1EWpyve3NZinQ3KksX+ox9H8+/Yt3bLf3GqkrhOmuYVE5pIUuuz8q39fnFe1ZQvMV11n/n5o0vFvpQW93TA9RkaYXF5JoDVbzfLkzrdJT1bwuXxVn95t3W2jVas6UsWQ40slCt5n31QP2+W1k3Tgt7e03ofvfYUct6F/U9y7z+CJ9fVb52sbosjTcxqNSv4V13a/XgF6xfnOa04p3Qm9q2U5rcSpYMHXXk/X95nzly6ut01h0WbZk85Z9w/obG5PbXkKVQ/1VnlWt5vxyvknmE9fq0KqVUoec/C7yj2VqWors1mbaijvfF63q838p679T4cN163p0URY2rWdc7cD//ldAHux0ftUSTXbdbW+rCGngfPnen/yvWw6wydCZQCf/7nfY8mdpGlmokv3H1QvepOD88k/VncZn2V5R4fz3s65lBWux7bg90dlfmPX2s1C+e9ZDfd116NOL9r8vF9PZtZelyTcisp0IfUCbN3sH6u5i7E3aq8H5+REnzOtaTvm02HKfK+9b9l++saCdLB78nNv0jdE+7yP0y6ymJti8TGvP+Ky/G0669LLUxWXZsQRPex0y+PvsO60sjq+d3bCp03Xp7kw6yZFVU0fa+0A+cnT3/POttqhxvbm3Ge/yAlz49O8rSK5X+C0Y2591Pee2RfazvVfP4Vyb0Um/jZ006ydJ3Lc0d8S14X/OsVdf1rC/V69bKSY13+3VqXj9Yt5kYukOjJe8BCQZPnTvLUnLg/NococdnLp74hHVPRfjC9eq8aze6nTehiyz1c9fONmrFe/tblnPSWZ/eU6PDJ6HPmP6tbkBXWeqh4bAgWoP3BbXnE46zHjX6d5x1a963a0R4tO/G7vuFkteqmrynvT48MoT1HSuGtLgm9ITz+e0bWP+7+eGAlW14z33cRWVVd1lqVJIxSVeLd73IPQ2fWD90+Y/TS6HHTdZv7tRDloLfb1qwuy3v+cM+aN9nfcpaG+fx7Xj/ePrWFLOesmTit9SuRuhfv9/depV17+o86Xx73ndO+5XXt5fMjvCVPRZ04H1Yp/G9jrCuN3tmdfuOvKtHpgZpacvS/Wmbb+UL/UM7u9rtrHe+9ynIvxPvk9+221zHevv7wWOHduY9aESDppeOLB1zWVzxTej7vNSTPrE+d7vfgcNdeNd5PN7VSVeW0szuGdt25f1Y3DG9B6yXHpic27Qb732N9H+P15Olf0ENVhlCP3j9SVEq6xfafSjw7M77qoNns/r3lqUTFtXj9HrwrtT4zI3jrI/qNOz8S6GPnPYwr4O+LMXuPdpqd0/eC6/1/LyL9Zwrgxeb9RLW597o1o0MZGnlph9XqoVu20Wa7MO6flX+n7PavBvHqu37zvqE9oWD5uvwPnGeSqlLH7bvfSpz0dLl/XG83oznrNctNAq+I/Scq6vuTu3LzovwXfEb9Hi/+7LEKpv1ZitUU4x68y7Z7lYM78fu77/9mR+EPmrJ3KDzrO8bPvrGQX3eQ+Y6jtQxZNdHt+byFAPez/lsro1kfcnN27HUh/dn/x4XtOrP/o7ayU1XhF7d1/Z8IOu1qvvt3foKz9EUpdh/rJ88t1u7Sz/erY++ivEcwPaThn2f7gv9u4fizGfWP9ceOxxgyPv4nx3uzDGSJf/jV62G9Rfu16oNvx6zvrziQeU3oV8xVjeaNFCWzn8oDY0dwPurVYXrMllvtr5Zj+lGvD9dnVE0dJAsaV3SOak6kPfKda9GJ7DeN2iUTqrQjW7pJ2sby9K6aqsDHoOE7xkePzqK9aoGR+phLKxb3elFGoNlyemQ07zHQp9yvf+6INaH5ttc2TZYWD8xJgPqWX+5fWTDiCHC9a/3qfQeIktu99uYfhe6t+7n3BLW70a/WnNkKO+1VttOuwxl59rX3cdnDBP21TT76Besn7jSP7fxcN67xs+MsR4mS+XVSW9Thd7Daue526yfPK/93WME7/LPirwxw2Xp3OPVFd1H8v7mQfDfJNZPO58peST0Ubq2ww1HyFKHGTdeBZrwXtzPJjCOdZNjl24OH8X7PB3/4s4jZanXxC2HSoSuNOHDlL2sHx3bb0XsaN6zH6+73dxEllwCzw+1GSOcU43Mbbawfr9lk1+NJOF3aZp9q2Fdr8j4ZLLQR5isDvccJUseDwdZLzHlfXnqq4lfWV9er1TWeazw3N1eo+E8WpYKZxwOKBS6Itbi03PWf9xtqu4/Tvj8usl51mNkSdlxVKixGe/l4YE37rDerGaYyiehW/SqyjKVZKngaM2Kg+N5H+cc9SSFdXnSpoeTzHmP2b662shUluJKcvXrhJ7xYJv+adbN1xeuTrTg/aZnoVvPsWyeKd+b4mzJ+/rjU1IiWb82rm1Fmwm8exxSaq85TpaKF1t3zxV6fsT3rTtYD7Q3M/OZKMxFuRrKjcxk6Y5K6ew+k4R1vmBp6HrWo9wmeLwWuv7xOoNfrKeutfcMncz7ovTbRR7jZelUby0P0ym8H/1wN/Qj6xnLNs3+KXRzG5WZc83Z+SVFjIubKnz/YWuNnrEes8e+m72VcP7m9epgbSFLTR2ulzWZxvtAsyat7rL+bFtecqrQtzzUaTvOUpYctTasWmrNe9aZ9X2usX68skC3qw3v25TVpg2eIEtHOtwoKBR6Z7WnWxJYr1kzdenm6bxv/vsiR2+iLA1UXls/cIYw51CHDkdYD04YEaQQem/rPb4dJ8lSR4+9qvttheers9m3cNYzjbb4WtjxPnO/kbvaZFky+NFIUS101R8zawJZz49oN+60Pe9tHNIPNLD+rUtKxCwH3ucrOZn7TpGl/V6f3reYybtv1yHKlayfCj7cI0PoR19NKvSYys7ZGcV2yx15z1sac/oT665Zpzd3n8V7dJ3BvvlWsnQ79/eRB0JfnFm56yXrVTa5yf5OvA9X1ETYTpOlLNt2WYNmC+fmvlGJhaw/v/EhSyH0gEbpTydYs+clYEDqvjm8B87xaZnN+oI9v+LM5wrP1wPPGaNt2Lp6OnDbb6FP2nHq1FXWo8d/nH1yHu83rnZpOWi6LO3MUzOYOV/YJwMLN59j3WHWiW9NnYX9p+f1Rr1nsHP/feLRVKG3Ty7Zf5R1gym9rdxdeF+x0mFYF1u2b+xqXt5pAe+f1it9iWB9eZhDUJ7QnzX6drK1Hbv+lmpaGxYK84lx67U7WTeL1Yvot4j3P4PX2jWxZ3PalriWb4RuZdzFbAvruxUB63a5CvdlJpnWsZ6bkPV69GLeWxdqT/FxYHNC4dzBP4R+J2Pb4krWXQbb+8e68X7N2iB8+Uz2+Xsnsq2WCJ9PbJH/lfUDm6z+1Qt9c6P+bRc5sn1+zGT9RHfee3rvWfae9SZVUZPmLRXWlYHxE6dZsrQ21MSllQfvuye3m/KM9U7VfVbcELqV0shH053Yuuq02HPFMt5fesYuLmS98cfvbt2XC/t/tpnapNnsfW1sht19oed17ZOZw/rdTo+HbVohzMPxNgFj58jShtmGrQas5L2ff5pdButGFXdfvRX6qycLh42YK0sbs08cCvXkveCOtX4S6/czbtqO8RLu+8aN+gPnyZL9vQ5KP4Tu0+XHsATWWz4+fezQKmHfyDlsbzCf7ds3vUZM9ea9Knbv1njWu232zKkV+ri8uzd7OrPrWX3c4txq3psuH6cey7py66YZTmuE5/RM3ZJOLuy5TorWb7GW95XH/hVFsB5aODs4Tej1PqOmtVnAnnezie+W+PD+flrm892sL6if26ejL++3JgR5qi2UJbVP0e53hK4aGNYxmPVKue7w2nW8n9d990B1EZs/X2+5p7ee9w2TVx7Ywvq2a/rfngj9WTvzZQ2sD3f9Xr91A+/PT86ZvsGVPb+3CpsO9uPdsluaRQ3rG9PvNVEIPTpy1qQ1i2Xp65B3/8I28l4zXJpTybpm++YfTTfxPrSz26aVbrK02GJidpnQi+Y+ufCd9V5noiJiN/PeuFdQhfsSdu7r186d6s/72S1+Y7+wfvrE0i61QreLTTmyyJ3NLc0/F57ZwvuY8OGtFKxvG+mxxjGAd9v1dTvnL2X7fKcazaZbeR+0pkmnt0v/s3+GxCULvcdh+2QnD1natbln30WBvLfVLHF+wXre/ZQTbbbxnvztVheHZbIU7jKtfZbQZ47/8KmI9e5dFRtWBglz74iJmdOXy9IWheezbtt5n/6p8tQD1g9E1ugVCP3qgg9HrFbIUnNtn6Xrg4V9OL/TqXzWpy4oiTPYIewPIw5cn7SSzcOjbR4/E7p2juOHO6z333/yd2AI7822u3S09JSl9Cml6oN38t4o+uKcHNabWXbtIgt9WzvLi2ZesrTddXi3Pbt4P6eprZXF+rZdJm3HhPJudtJ8m+kq9jzG6iiVCj235HyTG6wbr6sojtzNu2P13IOjvWXJp9GRq5Z7hPXz3m54OuuenftvqRJ60vW9n0euZu+/xyPHHg/jvf/JDidSWd+94X2VdTjvnS58WDV8Dfu9QXS4XuiNyqqtr7J+Mb561Lm9vHf3nT566FpZ+p2cfd9xn7CuFvwansR6cbSLQ5P9vBtlvTEb7MPu4+BHj68IvfK0+tzLrDd31jB3iRCuZ/+goEG+7P2aOp9tdYB3/wWWmRdZr68sU80Quv7saU0HrpMl94677NwP8r6s7+F5F1hfZl0e2T6S91LF0NwB62VJxaf941tCrzjQblQi6z+Xk5JXFO9ejmNu9t8gS0VtTmt3j+Zda+R5u/Osq5m3MskXuu5k1xpDP/Z+8d7I0jdGOC8OuZ5LYL1rTosJeoeE525c4nLDjbJ07/6h0Y+F3m+iqWkC66vefui9OZb38KyOPQ03yVJQ4dvGhod5V79u0jqB9fF+wS9fCP3fpBMahptl6dJt+di2I8Ic6OPYPYH1hB1f5hkfFa6Prd1oQ39Zen3sYOv3Qq//EemewPrV0vKrO4/xfsi290nDLbIUML5s+ojjwry9t+5nAut228Lkj0JvkdrFqn+ALLUJfeIaHifM/4+2ppxnfemw1Hdj4nn/VjJk0ICtbF3NGTm1ROizNY2uJbKe+do+8cAJYZ+0WTXDKJA917vVGo8/yfvepIa/F1hvZ+1oUy5034lPLg7cxub2vyPDYk4Jc1qHX2svsd7aLTFnwmnejQ1nTzUOYvuA95Ufv4TeL7zloCusT/5jqXb0jPB3bJrqDdnO9snCxd2mnuU9zXuKQTLr1g9b69YI3Uf1pcmwYFnyemHWI/4c7+lqF+eksB6V+a+VTYJwTu19GDpihyz9nTfsV63QA46a3E9j/eCeX/mnzvO+XSrrNipEliz6DoyyTeS9zepSvwzWzzYtcaILwnqbaFw6ZqcsDVHqoXlO6J1uZS/JZL3394J0h4u8e5Qc+j12lyzti/vp1OiS8Lzn3AzPZn1WQ0jZeaHfchwwxjyUzclPDqyddZn3I+c+/cllPaCuzS/VK7z/zP6cNWG3LF2eVr/wotAL4wbF3GP9xTHbe7OThPlnxu2tU/bIkqJAS6dpMu/3n8RvKGQ99OQor8tCX9m/MMA6jJ3Xje9dmXuV9whn06hHrN/LTCtplsL7aa/aG7bhsvTxnFr7JKGnL1Suesr6pSMZQ+en8h48cvoIx71sH/PMm9QiTbjvv0t2vmJ9wW/jGclCPxB1v2zOPnauNaqa5nyN96P6dc7vWf+1TG2sWrow/x/1Vrjsl6UlLXz0rgr9TJOh3h9Z33JhCLlkCPvkrLFabhHsPXGgWaHadeHvR0Vkf2O988LYPVeFbn1nyJZlB2TJubO5pcsN3g0V3azLWX/Sd8hPtUzhun2zMVx1kP2uJR5hV4W++01hx9+sZ538ouNyk/fbafvb+kay75l28pxaFu8HN5/oUcv6H++T+leFrmyoZLIpSpamnfl40Dmb90sZ8QuVo9m5bDi/rsUt4foM2HcokPUlD7Xsk4VetDn/Y9MY9t7npnR8fg7vJeesRu9k3TlH+0PzXN5DLnSKa3WIneNpvh2ThH4uyKjTXtafdlAym3eb9++Gew63i5WleZevzm92h/fI2BGDo1hf6hTtdVnoR4r6Pe96WJbWyKd95tzlPebekpCjrOd1LPZqco/3h+vKp+oekaWQR2OcLwrd4F1m99Osn3iTaeaUJ8xLFS/J8Cj7ni0WdVLN533UmTEVF1hPNDT4eF7o7RqVlg8+Jkt72rSIm1kgzJ+/5IYU1k/vauqgXCjsh2u0u40+LksNS7vXnxX6+s0Jk2+y7rxxaqTdfWEfaO6/3TxOlrz37dFvEPpQtdiiu6yf8ft09tQD3uPWqxhZxcvSxGZTtac/5H3XtCtRj1h3a5wV+k/obTcmaDmckKUvZmY/4h7x3ryu7NAr1rfvKRxr9Zj3dzfXD51/kr1PpTkHVwv9wk3rtx9Ybxr299aRIt7HVSzfv+SULHkUR/ya+IT3hvFPnX6w/tN3cIdKof+7sG3gqtPse+o/HBDzlPcy/c3t/vynp7mbmD/jXTqS1dzvDFs/dfUjfwj9ZzMrdeWzbN6+HtL/wHPhfJnZq2cQ62p56u1MXwjn+0bJTO0cm+vKAiu+CH3H8njvMNYH1/zIDHsprJOOtkntEtj79RXLrSNfCef1ysmqMawnl+4yUQj92MKQhT3Py9KgFTc+hbwW1v+nNo9PsB7Y5GXg4De8L/r8wbpfoiyt9n/V4Y3Qf9vVv7nIevypm4cD3wrrqtf8dcMuyNK6CTs69X8nXB+T5noZrA/pZxz8VOgt99S+H3eR3fduaSUb3/PevtWws3dYX1HSZVzvYuE6nEjdanVJljbNdtx5X+jG47cuK2L98Khl99bKvO98ErFo1mVZ6mlvX9tdwftFywqP96wPWKXZ647QXYP2BrhekaWbcw6brPwgrE9/v9OlrB9793dCh4/CudYj8a1XEvueWb0mZQp9wnR97RrWo+9rSW6feH9LX9dsSpYllweFvTU+876vfcUL1auy9HyXlUqK0Nv4m07ZyfrbB2FF877wfqL3swLNFHYfXSIONvnK+/iqK3MjWbdrPss6UehBj1/Ud09l9yvs5T/7b7yfP2t+/gTr0zLbRtcL/YjrHw/DNDb/zG3W/0QJ759KK0ZeYX2d8eUrU0uF66k3qIPJNTbPN2k9oEroz/+lqGSxfuxoj0Mx34U+YxtNTJeluXff1Zv94P1B26gWD1jPMJ9iWyL0IP1fug4Z7Pu/WXAovIz3pV77pr1l/ZWDzssR5cI5/mLd9kXXZen7upDmxUKPMjv5oJT10S0P9N9eIZw7+zvqe9+QJXoy3mLAT97jkx6G/mPd9GC4zVOhmwfdVwnIZPtzl43WfpW865Rp7mh+k73f6aua6fzivf/D6G7hN//znq5rkCf0vxruWR2zZGnjt9fKXlW83wzzW32U9SV9DR50+M37vKFPhxlks/mwadOwG0K3L17V7CLrb8zXmrtWC3OUt/234bfYeXTK+7vaH973P/J7mcl6QFXd9stCb/v664sJOew9pVyjw6wa3hd7RX15wLrunLNR9Jf3sWt2N3bMlSV1ytM4KfRGd+4YF7OeFrNs3dR/wvlrabFyyW22L/3e86xS6HJRk/QK1hc9HKQfVSvst1Yt26+7I0s1ZdYepnXC9dln7698V5bWt/16/JPQv25V/N3B+i2VmsKd9bzH1l0OaHOP/d7NG78PauA95fXtzjGsD5u8tuG50JMbumXr5LH3/d7FKpuo9H97qlmqbwLrx56m1uko8b4tMEIami9Lvp0bvt4TetDRZK0brIdcPX93pTLvt1d1rLEsYO8RHrkx7Ozm++qz66UPWD/9z2xButCXnD5R5ljI3jf1dLu6qPDeLvuBkoL1nwmL7zVR5f1Awyhtj/uy1GJGs6UJQu8zomRGFetBT5s0TG/M+8WJr/ZufCBLtX/mb/sj9uYtFU0esvfldZpKsU14n2a3eWwY66ZdOq0wa8q7g/KQxE6PZGn+odUPvgh96Lc+/eJYb329l25oM94bPjinGD6WpZZjui8zbs67y70XM66yXvza7dRzoad6htebFsnSV8e6p34teP97MSTlHutO3i//9FLjPds5x9/2CfueJXUt7wjd1kGa9Zb1FX6L2i1ryfsut5qxbk9l6dBXdU1Ndd4r3CuH/2Td8kc1XRX6aWNDacMz9nxN7KZwasX7xgMnbBs/lyWrtE0ppMH7C/d5vntYf1LX0T9e6Pf8HRI6vWDvuY++jZrUmnelC6Hlcay3qCor+SH0h3dUzAa8lKXX2r1D92rybng4NS6V9T+dQ7WHt+E9QTWh7fhXbP1H9Tr3Wug7Ct/uL2R99Wy5t78W74fzrHQdX8tSTLe8CN22wjosrM1WsB516OWfu0JvfOqL5/I37D1uv7rV8na8jzDQHFDDem72wgjN9rw79/L9F/CW7f+Klw+ThR64oOsz9Xfs+bqwnJw68D4pvf5mJOszP3ft1SD06n9d0nXey1JXs09Dj3fkfU3F2pxE1hduyhlj2Yn36UtbvR1ZzH6vQ+qIEqEnD1Oo5rLuuu1G792deV+pUznKRpalfrefNDXuwvuP+jEBr1nfXlTz+qnQx+3Lfb5YIUsdlhjErevKe5eLwaMrWTeXXOZ268Z7Yc/tFzd+kCWH1sdaZAl96qWbg5t/ZN8/8tPZRd15799/6O39rM8KM5Sa9eA9bv5Ht56fZOnvJe+cc0IP1rrfMYH191dTx1j35N1Gq/LF8M9snnf8e6ZS6O372Jy+xXqN9eDmB3rxvrf71yDrL+z3OiyaPVKb9+7X01a/Zr2FXsjRN0JPLszxcvvKzpHVx19s1hGeo47NN/1iPa/urIqOLu8t3YKiNn9j87DPsV63hf558+gctRL23MVsNXbX472mb7+Gg6xH9LIe1rK3sG8YzZigW8rWYZZy/wtCf2t76chF1ssGR7WfoS88d/MmNh3zXZbsjbR+VQldr32HTfdY3+KxPPugAe87TbupOvyQpatHTgSa9OF91FGnKAXralvTRr4Vepv6+2NWlsmSZ8FJeXNf3vd0Xv+zlvWzxh5+2v14v58xOym4nM1dy1Rb5Ao99JR3ULsKWXps5BniZsh738NZbsdZ9xmcUN+8P+/HFlo4Gv2UJcf+VxcmCH33tYaZGay7F+3MmDaA94GuPxZPqmRzy+u+zX4K3VlPc9sz1pvXhlnuM+L9UIb75YW/2Hvfl3SfoQN5ryutLqtg/ZDDmZjnQh+9OtVkU5Us1dU5XF43iPekdokRar/Z/rAnO72LMe/zwp5TFOvXb31LuS70x3FD1vWulqWdVnkn5w/m3VIjVzmJ9ZOyS7DyEGHdhgdHjfvDzoUhiXPihN7n26axD1h/8jdBx2Io772enKqeU8PeHz/PfvtZ6P1bq2SUsJ6XkLojeBjvsU5hYb5/ZSlHOcug73DeF3tar27yj80Dkauu5Qtdq9VYt/2sj9DNl5aP4P1puYu7di2b5x3vJrcaybvPo6T1F1lf8sWtx0WhL1kxIkaqY+sw8NSG6Sa8J275nlfAep4iMK9S6FW5D5vPrmfvO0n1avtH8b7598eZ31gfc05j7NDRvA/LM0j2aWDvm+tTFz8Tekx9TK8mpJDaFv3e7DOG90cTpdj9rN9xy93ZUeI9apGGgY6SQlIt0Q1JE/q05hrZl1h3UWuzwcmU97Ky0R5jlRXSuI0h82qF3qYwUucB658qdg45NFb4XU7apXMbKaSFHdrWjx7Hu7v1y6zvrJ851jP1rdA/OF8/tUFFIW0Ye8F1kxnvay3uH2qhqpB846837jFe+F2X1Y5Fsa65aVJkptBN561JMmiskMI22nRzNuf9fF2L5ymsd7J9uF/JQngezQqaTWiikE4l3m44KnSzj6mTnrHebOyg2eMshfkk4mGUa1P2e6+qn5WFPri51t8q1m9lzyrdMoH34srNboHNFNLvNlo9tCfy/ke1wyet5gopwWG4RbbQz/987hXHevnonLkLJvH+cmm2+uAWCunI6pQljSYL96XXs9Rs1j0TWi0+LvR/d9p4z1BTSJV779ibTeH9rLrvaAXroc/eD1cI3TKucbtVLRXSRj37lgFTeb86Ir1OWV0hveqvV9TLSpijNkb+Cmd9b6zVriyhp/aM/durlUJapl0w3GUa770f3W11mXXVpYefKlkL59SYLoPNNBTS017ZrkeFfrDN/sWPWe/zZ8hXUxvedWjwmQWtFVL/g1Vz3gu9/MKff5Wsv0psuLVpOu93Hsmzt2oqJPVSm27dZwjrVvNnvlYbhbSq5uuS60J/0klvSjzr+7bmnJxjy/u5gxtfDtFSSI9GyM9qhf506L+1uawvzBn9N9qOd4Mj0ToObRWS8+Mn6ib2vHfaNO/9Z9bPtzrV9qXQU/0szvq0U0it9S6p+zrwfsncOrBZe4WknVVR034m71M2b1gexfqc3QufJQt96dN7rn07KKQmI5qetHMUzrXykcvTWbdwf+n2S+hFa/K3Tu2okLoXPu+ydxbv3zU2nXnLuksrpeyBTrwbuU5/t6KTQsp9bu30QOjBXS20lTorpAdFOR+Xz+Z9yxvHNeGsf0iY49JyjvCcTtn1XLuLQhqt3u7hWaH7t3o/MYn18sOlAyfN5f14vs09i64K6Yvau61fhB6jLzs+Z72i/tvdbfOE8+72nj9Luimk+O7qSrrzea+0mnPiH+sbO1j0yRa6hbPlgl3dFdKT8D3mzs68Ox6zGtC9h0LKH1YyvUHofZO8ml9kfdWFGdMPufBuN+ryr3E92XMaf9vMZAHvTV+2+lHEulrm+N4vhN7OaPtv114KyerUndo1C3n/9K6zeg3rBY1tbmkt4n3DjnuDQ7TZOgx45XdJ6D4P9rp31VFIq28vMrB25V1j+trERNYv+37P/S70zonejcbpKqS541bahyzmXTUoxLWI9W53S57pu/H+zOfac1c9heSXNGdyrtCNtVVm1bD+7Hz2hQVLeJ+ps+hbSG+F5Da7c1Mld2H9d3ob3E2fnSOLXGxihf796PLhF1m3XRmx02SpsO/NbPfbzIA9XzpJqc+FHvyqKOsp623005+v9uB9eO7p2CV9FNK7nqe/ai7jPfPKvuBa1jun+JYmCn3fuP0Bu/sqpL97+hZPWc57dvOzO3v1U0iB09NvfxX6z5NP4pJYP37M4Mi2FcJ8e0Urf4KhQmrZ29NdeyXvpXcXK79mfVHgHr1MoatuKbRc0V8htV8QWDTbk/e01RNilAew827RVO8aoV8Y/aRhP+sXBn5SjfAS1qGXt5eBkUK66TE1eNAq3hvO6P5KZz342ub6QqEf3/Rlq/VAhZST5bdoqTfvPYLSdT6wrtx73PUmq3nvNvPo47WDFNLVnXlN44T+YntEWAtjhWRwsL256Rre9ROj5x5mfd137VWvhb5h/oWRxoMVUqLRj3Cftby/G1ike5v1w6recVo+wnW+2riH0xCFpKRx+eQFoZdvszQoY92l8lTMFF/eEwZFjA0YqpAGzZgR8EXo+61+urUfxr7/o0SnreuEzy9zOnyWdY226bo91guf7/XwgzRcIY3JWF18TeibGqaPKGK93fKXoQ4bhPk54n2M2wiFNO3eZ8NKoQ/28W1Vx/pa7+jroX68LxraNSxspEL6o15p2mejMJc65/XUM2HrYVTplRyhuwcH3Exj/d+hrZ2cNwnrfIz5ymmjFNKhp6metULv30qj/wfWnwUFpx3YLJzvIYq/PqMV0rwZFb8G+Qvn4NgbT1uOUUjZL3/0KBR62vVjN4+x7nVj05glW4R9NWzXtWGSQrp07OhUlQDh907YdCuf9ZO6060OC33a8rWvnU0V0oyvoaYjtwr7yZ7VjapZ3xNqp/NE6F9NfEfsHMvm2OTjNSsChev8z39jz3HsetLazObbeO81a/ejZNb7qBf4xAt9k+LIkClmbH/edLyXaRDvD3omnyxm3e9XdcZLofc9XKi/drxCmt7yzqTV23k3+fg1Rc1cIeUtaX23VbBwPf2azDzG+pnTD4efEbpeuV7j4RYKKcijcdT4HbxPzrXMLmD9hU1C6Vuh3wxasnuBpUL6+SfbyDdEmJfSQ9xrWFdRmuDaZifvV74l2O6ewNZJs2G7EoQ+JOr+VN2JbH1eCI233CXcX5tyu2us39o3JbFY6Ob7Wy2zmaSQbtstP7M+lPf5pf32fmY9Mqwiou1u3ne9srzjN1khHfz02DtR7J/nqWlNUUi1PzXHT9wjfM993vPOsP7a9pyKQugVroE3TacqJL0zh5I3hPF+uzhs0DPWL+z54NgunHeb7ZGXllkppJ4nNv5IFPqYN9FjVaaxeXL7Eu+Je4X5zeXguyjWbz4+ViIL/VdU6M6B1gopRk/fdsM+3tWabJxwh/XkrtUJbfcL85u+a5t5NmxutG9Zc17oXzZafK9ifZOH25AJEcJ6C+n2dOd0hZRVp7qgWOhpBd8LtGew+fyEwn/dAd7/3rpclMZ6rXJDWJuDvA8tX/HNxlYhXUu023tO6P8Kerb6yvqrCR8DzSOF/eH1nXGb7RSSq/vZJW+FPjpyYWB7e4U09UL8mLVRwrnm/+vpedZtkx+qaETz/kbTZ5iFg0LS6WCYfkroje/+OPGG9fGeSQvHxvA+qcdM3dUz2fk7x63+hdCt912+pOaokB6vMQv2OsS71RGaFsf6Ecfxqi1ihTnkxpi/JrMUks8RN6/jQv/tvuzKY9YnfUp4YHJY+L3ddvotdVJIK3Ja9ygS+hvrKLtGsxXS9xdh8z2OCPcl4MCoaNafpPQNVznKe61GwCDjOez51XhzJUbozy20Qg6ynq7r3F75mLDO97wYkce65wq93MFCV+k+Or9hk/Lm/72vm5SpjpT/e88alEkLvWPrxLk2LYpa36gnjQClXuWTOvm2r2X/eQ4+q9Hof/4g+3cjDfo//yqX/m9Bv/F/i+r//rNupv8/bv4fV4KDpAwHqREcJBU4SKpwkBrDQWoCB6kpHKRmcJCaw0FqAQdJDQ5SSzhI6nCQWsFB0oCD1BoOkiYcpDZwkLTgILWFg9QODlJ7OEgd4CB1hIPUCQ5SZzhIXeAgdYWD1A0OUnc4SD3gIPWEg9QLDpI2HCQdOEi6cJD04CD1hoOkDwfJAA5SHzhIfeEg9YODZAgHqT8cpAFwkIzgIA2EgzQIDpIxHKTBcJCGwEEaCgdpGByk4XCQRsBBGgkHyQQO0ig4SKPhII2BgyTBQTKFgzQWDtI4OEhmcJDGw0Eyh4NkAQfJEg7SBDhIE+EgTYKDNBkO0hQ4SFPhIFnBQZoGB8kaDpINHKTpcJBmwEGyhYNkBwfJHg6SAxykmXCQHOEgzYKD5AQHaTYcpDlwkObCQZoHB2k+HCRnOEgucJAWwEFaCAdpERwkVzhIi+EgucFBWgIHyR0O0lI4SB5wkJbBQVoOB2kFHKSVcJA84SB5wUFaBQfJGw7SajhIa+AgrYWD5AMHyRcO0jo4SOvhIG2Ag+QHB2kjHKRNcJBd+P86SP5wkLbAQQqAg7QVDlIgHKRtcJCC4CBth4MUDAdpBxykEDhIO+Eg7YKDFAoHaTccpD1wkMLgIIXDQdoLB2kfHKT9cJAi4CAdgIN0EA5SJBykKDhI0XCQYuAgHYKDFAsH6TAcpCNwkI7CQToGB+k4HKQ4OEjxcJBOwEE6CQfpFByk03CQzsBBOgsH6RwcpAQ4SOfhICXCQboAB+kiHKRLcJAuw0G6AgcpCQ5SMhykq3CQUuAgpcJBSoODdA0OUjocpAw4SNfhIN2Ag5QJB+kmHKQsOEjZcJBuwUHKgYOUCwfpNhykO3CQ7sJBugcHKQ8OUj4cpAI4SIVwkO7DQXoAB+khHKRHcJAew0EqgoP0BA7SUzhIz+AgPYeD9AIO0ks4SK/gIL2Gg/QGDtJbOEjv4CC9h4NUDAdJhoOkgIP0AQ7SRzhIn+AgfYaD9AUO0lc4SN/gIJXAQSqFg/QdDtIPOEhlcJDK4SBVwEH6CQepEg7SLzhIVXCQfsNBqoaD9AcOUg0cpL9wkP7BQaqFg1QHB6keDlIDHGQD138dJCU4SMpwkBrBQVKBg6QKB6kxHKQmcJCawkFqBgepORykFnCQ1OAgtYSDpA4HqRUcJA04SK3hIGnCQWoDB0kLDlJbOEjt4CC1h4PUAQ5SRzhIneAgdYaD1AUOUlc4SN3gIHWHg9QDDlJPOEi94CBpw0HSgYOkCwdJDw5SbzhI+nCQDOAg9YGD1BcOUj84SIZwkPrDQRoAB8kIDtJAOEiD4CAZw0EaDAdpCBykoXCQhsFBGg4HaQQcpJFwkEzgII2CgzQaDtIYOEgSHCRTOEhj4SCNg4NkBgdpPBwkczhIFnCQLOEgTYCDNBEO0iQ4SJPhIE2BgzQVDpIVHKRpcJCs4SDZwEGaDgdpBhwkWzhIdnCQ7OEgOcBBmgkHyREO0iw4SE5wkGbDQZoDB2kuHKR5cJDmw0FyhoPkAgdpARykhXCQFsFBcoWDtBgOkhscpCVwkNzhIC2Fg+QBB2kZHKTlcJBWwEFaCQfJEw6SFxykVXCQvOEgrYaDtAYO0lo4SD5wkHzhIK2Dg7QeDtIGOEh+cJA2wkHaBAfZhf6vg+QPB2kLHKQAOEhb4SAFwkHaBgcpCA7SdjhIwXCQdsBBCoGDtBMO0i44SKFwkHbDQdoDBykMDlI4HKS9cJD2wUHaDwcpAg7SAThIB+EgRcJBioKDFA0HKQYO0iE4SLFwkA7DQToCB+koHKRjcJCOw0GKg4MUDwfpBBykk3CQTsFBOg0H6QwcpLNwkM7BQUqAg3QeDlIiHKQLcJAuwkG6BAfpMhykK3CQkuAgJcNBugoHKQUOUiocpDQ4SNfgIKXDQcqAg3QdDtINOEiZcJBuwkHKgoOUDQfpFhykHDhIuXCQbsNBugMH6S4cpHtwkPLgIOXDQSqAg1QIB+k+HKQHcJAewkF6BAfpMRykIjhIT+AgPYWD9AwO0nM4SC/gIL2Eg/QKDtJrOEhv4CC9hYP0Dg7SezhIxXCQZDhICjhIH+AgfYSD9AkO0mc4SF/gIH2Fg/QNDlIJHKRSOEjf4SD9gINUBgepHA5SBRykn3CQKuEg/YKDVAUH6TccpGo4SH/gINXAQfoLB+kfHKRaOEh1cJDq4SA1wEE2YP3XQVKCg6QMB6kRHCQVOEiqcJAaw0FqAgepKRykZnCQmsNBagEHSQ0OUks4SOpwkFrBQdKAg9QaDpImHKQ2cJC04CC1hYPUDg5SezhIHeAgdYSD1AkOUmc4SF3gIHWFg9QNDlJ3OEg94CD1hIPUCw6SNhwkHThIunCQ9OAg9YaDpA8HyQAOUh84SH3hIPWDg2QIB6k/HKQBcJCM4CANhIM0CA6SMRykwXCQhsBBGgoHaRgcpOFwkEbAQRoJB8kEDtIoOEij4SCNgYMkwUEyhYM0Fg7SODhIZnCQxsNBMoeDZAEHyRIO0gQ4SBPhIE2CgzQZDtIUOEhT4SBZwUGaBgfJGg6SDRyk6XCQZsBBsoWDZAcHyR4OkgMcpJlwkBzhIM2Cg+QEB2k2HKQ5cJDmwkGaBwdpPhwkZzhILnCQFsBBWggHaREcJFc4SIvhILnBQVoCB8kdDtJSOEgecJCWwUFaDgdpBRyklXCQPOEgecFBWgUHyRsO0mo4SGvgIK2Fg+QDB8kXDtI6OEjr4SBtgIPkBwdpIxykTXCQXdj/Okj+cJC2wEEKgIO0FQ5SIBykbXCQguAgbYeDFAwHaQccpBA4SDvhIO2CgxQKB2k3HKQ9cJDC4CCFw0HaCwdpHxyk/XCQIuAgHYCDdBAOUiQcpCg4SNFwkGLgIB2CgxQLB+kwHKQjcJCOwkE6BgfpOBykODhI8XCQTsBBOgkH6RQcpNNwkM7AQToLB+kcHKQEOEjn4SAlwkG6AAfpIhykS3CQLsNBugIHKQkOUjIcpKtwkFLgIKXCQUqDg3QNDlI6HKQMOEjX4SDdgIOUCQfpJhykLDhI2XCQbsFByoGDlAsH6TYcpDtwkO7CQboHBykPDlI+HKQCOEiFcJDuw0F6AAfpIRykR3CQHsNBKoKD9AQO0lM4SM/gID2Hg/QCDtJLOEiv4CC9hoP0Bg7SWzhI7+AgvYeDVAwHSYaDpICD9AEO0kc4SJ/gIH2Gg/QFDtJXOEjf4CCVwEEqhYP0HQ7SDzhIZXCQyuEgVcBB+gkHqRIO0i84SFVwkH7DQaqGg/QHDlINHKS/cJD+wUGqhYNUBwepHg5SAxxkA9V/HSQlOEjKcJAawUFSgYOkCgepMRykJnCQmsJBagYHqTkcpBZwkNTgILWEg6QOB6kVHCQNOEit4SBpwkFqAwdJCw5SWzhI7eAgtYeD1AEOUkc4SJ3gIHWGg9QFDlJXOEjd4CB1h4PUAw5STzhIveAgacNB0oGDpAsHSQ8OUm84SPpwkAzgIPWBg9QXDlI/OEiGcJD6w0EaAAfJCA7SQDhIg+AgGcNBGgwHaQgcpKFwkIbBQRoOB2kEHKSRcJBM4CCNgoM0Gg7SGDhIEhwkUzhIY+EgjYODZAYHaTwcJHM4SBZwkCzhIE2AgzQRDtIkOEiT4SBNgYM0FQ6SFRykaXCQrOEg2cBBmg4HaQYcJFs4SHZwkOzhIDnAQZoJB8kRDtIsOEhOcJBmw0GaAwdpLhykeXCQ5sNBcoaD5AIHaQEcpIVwkBbBQXKFg7QYDpIbHKQlcJDc4SAthYPkAQdpGRyk5XCQVsBBWgkHyRMOkhccpFVwkLzhIK2Gg7QGDtJaOEg+cJB84SCtg4O0Hg7SBjhIfnCQNsJB2gQH2YX8r4PkDwdpCxykADhIW+EgBcJB2gYHKQgO0nY4SMFwkHbAQQqBg7QTDtIuOEihcJB2w0HaAwcpDA5SOBykvXCQ9sFB2g8HKQIO0gE4SAfhIEXCQYqCgxQNBykGDtIhOEixcJAOw0E6AgfpKBykY3CQjsNBioODFA8H6QQcpJNwkE7BQToNB+kMHKSzcJDOwUFKgIN0Hg5SIhykC3CQLsJBugQH6TIcpCtwkJLgICXDQboKBykFDlIqHKQ0OEjX4CClw0HKgIN0HQ7SDThImXCQbsJByoKDlA0H6RYcpBw4SLlwkG7DQboDB+kuHKR7cJDy4CDlw0EqgINUCAfpPhykB3CQHsJBegQH6TEcpCI4SE/gID2Fg/QMDtJzOEgv4CC9hIP0Cg7SazhIb+AgvYWD9A4O0ns4SMVwkGQ4SAo4SB/gIH2Eg/QJDtJnOEhf4CB9hYP0DQ5SCRykUjhI3+Eg/YCDVAYHqRwOUgUcpJ9wkCrhIP2Cg1QFB+k3HKRqOEh/4CDVwEH6CwfpHxykWjhIdXCQ6uEgNcBBNkD910FSgoOkDAepERwkFThIqnCQGsNBagIHqSkcpGZwkJrDQWoBB0kNDlJLOEjqcJBawUHSgIPUGg6SJhykNnCQtOAgtYWD1A4OUns4SB3gIHWEg9QJDlJnOEhd4CB1hYPUDQ5SdzhIPeAg9YSD1AsOkjYcJB04SLpwkPTgIPWGg6QPB8kADlIfOEh94SD1g4NkCAepPxykAXCQjOAgDYSDNAgOkjEcpMFwkIbAQRoKB2kYHKThcJBGwEEaCQfJBA7SKDhIo+EgjYGDJMFBMoWDNBYO0jg4SGZwkMbDQTKHg2QBB8kSDtIEOEgT4SBNgoM0GQ7SFDhIU+EgWcFBmgYHyRoOkg0cpOlwkGbAQbKFg2QHB8keDpIDHKSZcJAc4SDNgoPkBAdpNhykOXCQ5sJBmgcHaT4cJGc4SC5wkBbAQVoIB2kRHCRXOEiL4SC5wUFaAgfJHQ7SUjhIHnCQlsFBWg4HaQUcpJVwkDzhIHnBQVoFB8kbDtJqOEhr4CCthYPkAwfJFw7SOjhI6+EgbYCD5AcHaSMcpE1wkF24/zpI/nCQtsBBCoCDtBUOUiAcpG1wkILgIG2HgxQMB2kHHKQQOEg74SDtgoMUCgdpNxykPXCQwuAghcNB2gsHaR8cpP1wkCLgIB2Ag3QQDlIkHKQoOEjRcJBi4CAdgoMUCwfpMBykI3CQjsJBOgYH6TgcpDg4SPFwkE7AQToJB+kUHKTTcJDOwEE6CwfpHBykBDhI5+EgJcJBugAH6SIcpEtwkC7DQboCBykJDlIyHKSrcJBS4CClwkFKg4N0DQ5SOhykDDhI1+Eg3YCDlAkH6SYcpCw4SNlwkG7BQcqBg5QLB+k2HKQ7cJDuwkG6BwcpDw5SPhykAjhIhXCQ7sNBegAH6SEcpEdwkB7DQSqCg/QEDtJTOEjP4CA9h4P0Ag7SSzhIr+AgvYaD9AYO0ls4SO/gIL2Hg1QMB0mGg6SAg/QBDtJHOEif4CB9hoP0BQ7SVzhI3+AglcBBKoWD9B0O0g84SGVwkMrhIFXAQfoJB6kSDtIvOEhVcJB+w0GqhoP0Bw5SDRykv3CQ/sFBqoWDVAcHqR4OUgP8/5Fd51E5tf3//9+VIaJE5sxTiSiFKAdFmSWziKgoigzJVMpccplDZEqaNJhL5iKUyNBIOPcuhEpFZPgdn3W/1ncfa/3uf57r9VjXuu6u89zn3sdG+YHpfxslNWyU1LFR0sBGqR42SvWxUWqAjVJDbJQ0sVFqhI1SY2yUtLBRaoKNUlNslLSxUdLBRqkZNkq62Cg1x0apBTZKetgotcRGqRU2Sq2xUWqDjVJbbJTaYaPUHhslfWyUOmCj1BEbpU7YKHXGRqkLNkpdsVHqho1Sd2yUemCj1BMbpV7YKBlgo2SIjVJvbJSMsFHqg41SX2yUjLFR6oeNUn9slEywUTLFRmkANkpm2CiZY6M0EBulQdgoDcZGyQIbpSHYKA3FRskSGyUrbJSGYaPEsFEajo3SCGyUrLFRssFGaSQ2SqOwUbLFRskOG6XR2CiNwUZpLDZK47BRGo+N0gRslCZiozQJGyV7bJQmY6PkgI3SFGyUpmKjNA0bpenYKM3ARmkmNkqzsFGajY2SIzZKc7BRmouNkhM2SvOwUZqPjZIzNkoLsFFaiI2SCzZKrtgouWGjtAgbpcXYKLljo+SBjdISbJSWYqPkiY2SFzZKy7BRWo6Nkjc2SiuwUVqJjdIqbJRWY6Pkg43SGmyUfLFRWouN0jpslNZjo7QBG6WN2Cj5YaPkj43yD+p/G6UAbJQCsVHajI3SFmyUtmKjtA0bpe3YKO3ARmknNkpB2CgFY6O0CxulEGyUdmOj9B82SnuwUdqLjdI+bJT2Y6N0ABulg9goHcJGKRQbpcPYKB3BRukoNkph2Cgdw0bpODZK4dgoncBG6SQ2SqewUTqNjdIZbJQisFE6i41SJDZK57BRisJGKRobpRhslGKxUYrDRuk8Nkrx2CglYKOUiI1SEjZKF7BRuoiN0iVslC5jo3QFG6Wr2Chdw0YpGRulFGyUrmOjlIqN0g1slG5io3QLG6Xb2CjdwUbpLjZK97BRSsNGKR0bpfvYKD3ARikDG6WH2Cg9wkbpMTZKmdgoZWGj9AQbpWxslJ5io/QMG6UcbJSeY6P0Ahull9govcJGKRcbpTxslPKxUSrARqkQG6UibJReY6P0BhulYmyU3mKj9A4bpffYKKmwUZKwUZKxUSrBRqkUG6UP2Ch9xEbpEzZKZdgofcZG6Qs2Sl+xUSrHRqkCG6VKbJS+YaNUhY1SNTZKNdgofcdG6Qc2SrXYKP3ERukXNkp12Cj9xkbpDzZKf7FR+oeN8gPS/zZKatgoqWOjpIGNUj1slOpjo9QAG6WG2ChpYqPUCBulxtgoaWGj1AQbpabYKGljo6SDjVIzbJR0sVFqjo1SC2yU9LBRaomNUitslFpjo9QGG6W22Ci1w0apPTZK+tgodcBGqSM2Sp2wUeqMjVIXbJS6YqPUDRul7tgo9cBGqSc2Sr2wUTLARskQG6Xe2CgZYaPUBxulvtgoGWOj1A8bpf7YKJlgo2SKjdIAbJTMsFEyx0ZpIDZKg7BRGoyNkgU2SkOwURqKjZIlNkpW2CgNw0aJYaM0HBulEdgoWWOjZION0khslEZho2SLjZIdNkqjsVEag43SWGyUxmGjNB4bpQnYKE3ERmkSNkr22ChNxkbJARulKdgoTcVGaRo2StOxUZqBjdJMbJRmYaM0GxslR2yU5mCjNBcbJSdslOZhozQfGyVnbJQWYKO0EBslF2yUXLFRcsNGaRE2SouxUXLHRskDG6Ul2CgtxUbJExslL2yUlmGjtBwbJW9slFZgo7QSG6VV2CitxkbJBxulNdgo+WKjtBYbpXXYKK3HRmkDNkobsVHyw0bJHxvlH8z/NkoB2CgFYqO0GRulLdgobcVGaRs2StuxUdqBjdJObJSCsFEKxkZpFzZKIdgo7cZG6T9slPZgo7QXG6V92Cjtx0bpADZKB7FROoSNUig2SoexUTqCjdJRbJTCsFE6ho3ScWyUwrFROoGN0klslE5ho3QaG6Uz2ChFYKN0FhulSGyUzmGjFIWNUjQ2SjHYKMVioxSHjdJ5bJTisVFKwEYpERulJGyULmCjdBEbpUvYKF3GRukKNkpXsVG6ho1SMjZKKdgoXcdGKRUbpRvYKN3ERukWNkq3sVG6g43SXWyU7mGjlIaNUjo2SvexUXqAjVIGNkoPsVF6hI3SY2yUMrFRysJG6Qk2StnYKD3FRukZNko52Cg9x0bpBTZKL7FReoWNUi42SnnYKOVjo1SAjVIhNkpF2Ci9xkbpDTZKxdgovcVG6R02Su+xUVJhoyRhoyRjo1SCjVIpNkofsFH6iI3SJ2yUyrBR+oyN0hdslL5io1SOjVIFNkqV2Ch9w0apChulamyUarBR+o6N0g9slGqxUfqJjdIvbJTqsFH6jY3SH2yU/mKj9A8b5Qei/22U1LBRUsdGSQMbpXrYKNXHRqkBNkoNsVHSxEapETZKjbFR0sJGqQk2Sk2xUdLGRkkHG6Vm2CjpYqPUHBulFtgo6WGj1BIbpVbYKLXGRqkNNkptsVFqh41Se2yU9LFR6oCNUkdslDpho9QZG6Uu2Ch1xUapGzZK3bFR6oGNUk9slHpho2SAjZIhNkq9sVEywkapDzZKfbFRMsZGqR82Sv2xUTLBRskUG6UB2CiZYaNkjo3SQGyUBmGjNBgbJQtslIZgozQUGyVLbJSssFEaho0Sw0ZpODZKI7BRssZGyQYbpZHYKI3CRskWGyU7bJRGY6M0BhulsdgojcNGaTw2ShOwUZqIjdIkbJTssVGajI2SAzZKU7BRmoqN0jRslKZjozQDG6WZ2CjNwkZpNjZKjtgozcFGaS42Sk7YKM3DRmk+NkrO2CgtwEZpITZKLtgouWKj5IaN0iJslBZjo+SOjZIHNkpLsFFaio2SJzZKXtgoLcNGaTk2St7YKK3ARmklNkqrsFFajY2SDzZKa7BR8sVGaS02SuuwUVqPjdIGbJQ2YqPkh42SPzbKP4j/bZQCsFEKxEZpMzZKW7BR2oqN0jZslLZjo7QDG6Wd2CgFYaMUjI3SLmyUQrBR2o2N0n/YKO3BRmkvNkr7sFHaj43SAWyUDmKjdAgbpVBslA5jo3QEG6Wj2CiFYaN0DBul49gohWOjdAIbpZPYKJ3CRuk0NkpnsFGKwEbpLDZKkdgoncNGKQobpWhslGKwUYrFRikOG6Xz2CjFY6OUgI1SIjZKSdgoXcBG6SI2SpewUbqMjdIVbJSuYqN0DRulZGyUUrBRuo6NUio2SjewUbqJjdItbJRuY6N0Bxulu9go3cNGKQ0bpXRslO5jo/QAG6UMbJQeYqP0CBulx9goZWKjlIWN0hNslLKxUXqKjdIzbJRysFF6jo3SC2yUXmKj9AobpVxslPKwUcrHRqkAG6VCbJSKsFF6jY3SG2yUirFReouN0jtslN5jo6TCRknCRknGRqkEG6VSbJQ+YKP0ERulT9golWGj9BkbpS/YKH3FRqkcG6UKbJQqsVH6ho1SFTZK1dgo1WCj9B0bpR/YKNVio/QTG6Vf2CjVYaP0GxulP9go/cVG6R82yg9A/79qNOOP0T35Fo/nqpj3sp73zU5/ZoT/WReEf/jDvWdy2apFgk8t7zpuoZOKqZVvyMoU3MDuhWcdd78Ni++5nFFct6fXif3zVKxzgmvMb8H/G/K12Gi+ih14tzLwQITil9o69Evj3vDgvnF9ziq+bV5oyBxnFXs3/E79NMHnRF7/Vc09ad6/RMdIxfvsTPUJWaBi55eMn1Al+KfToWo9F6rYxeJzBUHnFE/ePTbsJvfagbqzukYpnl+aYzPDRcW6fNmekSx49BjjunLuQ/20DCdHK540afadHa4qdtstbN0HwQ8fnHqoixv/7+026IZ/jOLdrrZbl8Jdw/RNRatY4fO3j1k6ZZGKPdDZ0zJecLU/5PWZu8bQ8Uaj4hQPmaXvt3WxitmYNjctEtxS/dexju78e1n1znDlecX994c+usq9VUBy88bxildEf2sw2UPFXuQe+XxS8NHvNR0+ca+sDbg6KEFx5/zc2M1LVKyRq/fKJ4Jb9pmr12GpihkcX9TZNVHxn2sOBV/hfrury806wV/PCtC19+Tf1xq3CfuSFJ+0rH3kR+6DOnplGVxQPG/agjGbvVSsyZF1w24J3i12Sp3+MhUbtyT45LSLiqs3/XL9CnfvNierygR3a9sn2H65ii3vfm1Q4CXFXb203T9xD2/xfGmby4oPjtk7bYu3il3zqNgXL/qSi/YdV6hYWbxOzMgrin+Y5D37GvcM1/4XCgQv+Z6xwmGlio1t6RC7/Krw+fy9euQz91c2qw42uKa4VkPL7G2rVMzS99DyY4J3j3do0WW1il2wuGZpmqy4z/6frte55+nk/3wg+NTpxg+m+ajY1cDac3NTFB9w6OvACu5327WyqxI87tugy0FrVCxnvknujuuKb9LStO7hq2J934yZ2TFV8eBNc17f4u6vP+/RRcFfVppun71WxYrOLu875obiW//tYDXc79TzC3gj+IcxcxrsWadiemnb7q+8qbiXd0xh7/Uq1mtZ0G/NW4rHtvK+lc49fu+ObuGCzyg4nzR/g4o9vLpp6IDbio+f63Shjrua14qRGYLvGr7pzqGNKmY9Yu6wuXcUH9pDt9jEj3+/N4cbfhP8RJy2Vhb3K6v062+/q3gvX59Ri/1V7GlF+bP294Tfi6Htbo1NKnb/Tsp/iYJrLFgvh3Pf77Nh2Kg0xeV7LcYNCVCxQ+Fmb/IFb1DZ5NZL7ocfvvfySld8R7DLCO9AFXu0fVuF+n3FE8zb5DTZzL9f904LQwX/sLeHdxR3fzp/3+iB4nesgzqO3KJi7q+N298W/Msnm4Ji7vb7IuZPzVDcrq99xPqtKrY4qWnoB8Ez4+I2tN7G//ks95sbHioe1mTGwovctddee9XskeJ/y8fPnLRdxbRG/yyOENzpV7BjGfeOT4wKBj8W7g/Zup7bd6hYwIlJ6ZmCb25etKvbThV7ae9yan6m4q8WfUi5xb3HGnevasHtVpr9cAxSseJzTn12ZClel3djRC33N742he2fKG5hFXj0QLCKOW5qvT5B8FUj/dVMdqnYn6kFWjbZilvtv+CTxf15SHDIK8EnPmn7yz1ExSbc7U0eTxXfcvRCcIPdKjYy6OrCP4KXHFtndIb7z40m1/Y8U/zIumX57D8Vaz7w8J9uOcL9PG/3wSLux8aVDbgq+Jy5r+at3cM/55m9Hcc+V9z3vM3gVnv5c61m6srXgtdb9qLjRe7uNzw2LH+h+Hu7bS3s96mY1bglPhovFe/0ZnqrL9zTLaY7HxK8LNemV9B+FVvd3cjK8JXiRwvH2vY6oGLdzn1slCp4zH/uK9O46zrtfTAxV/HrR4/HOx9UMZXcxeed4AfPSD/+co8sPNpyVZ7we5xsOenYIf67KKo72yBf8YCxpy9ZhPJzzvaRvY4IXjxQzyCXe63vqiNGBYqfuvFf9KrDKvbePvj3DcHHbmtu0fyIin09v8PevlDxnYOPvkrgvrXf0oPvBe+7oXvghKP8ul1t/nhVkeL9f8YPLePeurNU2eC18PudMUhjZ5iKfcxe0+iI4BXsel7PYypW3aNC1+iN8HuZPTg1jXvUvfFaNwQPnhR3fsFxfh2ODamZWKy4SYbeeQpXsTNzk56+FdzQc1lKOPdr4deOrXgrnB9Kk19anuDXT9LpWfXeKT7rbeXfAu5qg5c1PCR4U7WWA9eeVDHn3A6Rvd4r3qqq8/rWp/jvaEC8ebLg2vNbPLnMfUNFpytjVcJ9qfKj8dTTKnbz4opeRYK3czh9/Bv39V0jd3pKwudsNKTd3jP8enufXPRX8MG9EiL6RahY1pHznffIwn2p4q/lE+7NyjdN61IiXA8mvVRLz6pY750D1l8Q/OrBHqFakSrmpZO+16ZU8dr7P2bGcN9raH7kheCnlocZjDnHz6v+m/e6flC80Eq7wQfu41IS1n0X/HP+hMptUfw+EJg8dftHxe0rZnzqEc2v/00nO7X5pPixPr0r07i/nOdSGCX44SF367vE8PPYw3o7LMoUN7rfwUAjVsUmLwro8Uhwj/VDZp7mbijnX5z9Wbh+GrQ6NCKOPwe/NB1QJnhFi/h3b7mb9+1wZv0X4TxmT0M3nVexppMa1mvyVfHsRY1Pd4pXsYJ/j6cdE/xFw0etbnF3/exxuE+54gavLY84JfD78B3V41TBaw/MN/zLPbfvwIrxFYrvKTJ9cDxRxUa9ca7/WvAlzkkrrJJUbFOAm5ZnpeJdn+UbveZud99G/Y/g/vnR3zZc4Oclx58fd31TfJlBpwf6F1VsSuW2u/pVijdeOig6lbvGoM/BcYKHOFQcnnOJP+9eG9haVgu/0yC7Q7+5dztgWflY8KZ3h5w6dlnFJjXtFeJYo/jkqAfJlldUrP6v0rZlgmt+Lisu4t6hiX/ouu/Cc8rybIuNV/l9r6asfuMfirceXTm1wzUVi3E3dj0ieM3NrDM3uKe0s71sUKv4dPvB5JSsYnNSTb9fFVwVa+zxl7u9enUvu5+KewbEvwtP4b/TkzvHvhL8y6bLbuy6ivUZXzXX9ZdwDpw94mcx9+3J/RdUCx5wc9KRTakq1jZ8xIzNdcI5du4b2y43+PtUQg+r5r+F50jpJ7W73BtFFLU4JXgb7ZWPFtxUsU8mboX9/iieGrDqpMYt/r00u7v/puDHqj5vjuCeUFNuOeGv4j/0ClaNuq1iLkfLXxUKbh5qsbKEu9GV284e/xT/aNTIf/sdft9TW/i6VvBHW2wPG9zl73dmr8Zspy//z29NKb/5kPvGRu3OtVRTPHusWpXHPf7fZWFcc0bwAfrrzJqkqdjEjc3NTNUVt1s3Y/N57gf33F94W/CDrUOLJ6bz51HfsVsmaiieGTlwTAV3A53jB4sETy8YcHvvff65VdwM9ain+Ba3XSMHPFCx0N0JQbWCD/5j9eoFd6cIL69t9YW/08F2tU+GimV/rbPWa6D49zZnurR5yN8Les/QPC24YX2HwmTuL1puutmvoeKnH9mfdnykYks8fVxvCD6jw3GfP9yvlFv8Gaup+Ioks5knHvPvxfHR1jzB2dCWdiMy+fudV69/ro2Ev3+ZpY2K+5iP9u5VgpN61PitWfy9Ncg2bVNjxZ2jpi3s9UTFqIVmM20txae0ttn+kLuz9cHxYYJXa3hdW5LNz2P5X9YaNFF8d7cX35s+VbHMI7qHLwt+wGildSJ3r5F0zrqp4mefjQ5zeMZ/j2HJkdmCb3/soFbD/fl8q9A52or3zt69KjRHxZbNCPb9KHj8vl/VFs9VzNj6zFgfHeHvz9wfWMTdS9rSVKOZ4sGmMzv4v+D3f7X+d/4TvHL9qPQuL/l7nFOEq76u4rbzZq1L4+59692vKMHX799ruegVfz/9ULrJvLni57LLtBrnqpjZySs/7giu/dj1Qxz3TrET5k1soXh7qz/PJuWpWFh23NUCwRe/Tsj4xr3+i+e0SE/xKwvXZx7MV7FW/neHVAleuX3u68EFKlYe6uvq31JxU/WpdYXcm5TUbNJqpXhK0Jye/oX8OjEZEhIqeFX+KqeuRSr2esSooG6tFfeJOnomnbvH21a+CYLXS3hcs/i1ipW+jJ8+tI3iQZH1pzV5o2JxZU16PhC842jbOwncV5f1L3Foq7jGhOAhU4pVbNaJdqFvBD/jlXP7O/enzx4O9min+FG3tlOPvlWxxAnDHtcIfu7r3Gqrd/x6eLNmYkB7xZNvHz/1jvu7iT53m+grXnrolePW9yqWusSi12HBVxs16GaoUjEdtTsbunVQPGdw7x+Z3EMKm9yLFzx07fC85ZKKjc7Q/2XRUfGdUbb39WQVO3+goku64Ec3DblzjfsO7R1D7Dsp/i617cM5JSrWoJ7KplDwyDbvX1Opil20URvm1lnxOZP2/ovg7nvsvUGl4Cf1exiP+aBix19vq7ehi3B/sAxz/8I9/dWXpw26Kt7OozJp70cV+z6j9e69grss6NFw4Cf+nDLRsNTvpviCd2buBdznmiUVRAq+80yHPL8yFVth0sXDpLvwe3F9PaXbZ35O++Xw6brg9SXvogfcn863dbTtoXjXojzvpV9UrO+gutSngn9r3ExP96uK/Z7krePYU/Gsvi3vXeY+wC/KQRbcQL3Eb3Y5f18+eHLbsl7CfWPUJrt/3DctnhX7U3DTK+/0IypUbFpmzu3NBsLvTlfz3+hK/js62ORBU0Ph/tmq8ssX7itCG9wMFTwk8OjHfd9ULDrq9tkuvRW/qaf+bVCVilmED/GLFfx0cI+Gr7nXm7jKztxIcb1IdcPAan4O3O2pdkvwDt1CZ/Sq4fdh855xo/sI94E7b/dlcv/XLtwuR/DPI14XeH/nz+uWL5879lU8fEFQv9Y/+Pvmn0f2suA3VPKeVO6JMf43vYwV77f1y1/nWv6+X/NNv1Zw9YYn1jb8yc//V7ovDegn3DcMa+k89xf39eIa9xfuM3HfDzj8UrFFdK9ov+BNHA6b13L/YNnvr76JcD/JL3h/vI5fh9NnNYsUfGq91GM2v1WsocGIFv1MFd+132LhR+4Dd5U0uCb4qtGTB/73R8XWOI0pGz5A8a0StTL/y32d++2Hgs8xtFUv5D4q1Xabg5nij/I61m36x3/v9M6yUPD7l3ZQL5LYqG6DpYXmwvXvH9A8i/t89fEbPgs+pK6ByUo1ibVcr19/9UDFAz+1mtNWXWKWS6L9/ghev1nC/lvcdZK+fdg6SPHDxlm5rhoS0zeqtdEerPjoRssMmtST2ORryf8dEnzkwn1bL3CvGzQos6OF4hX/zMpn1pdY6s7lPyMFzz891fUf90Mhrq37DVH8mk556dkGEvvYrVXPq4Kvb6y+ZnxDibn3DezBhgq/rxnBzau4GwdHt3wgeJeUHSlHNCV2ruOu7xMthX//jx9ewxtJLPyhYcYrwQ+8eNWvlLulV2CQk5Xi/i27/QlpLLF65QetSgT39i94ZaYlsWxjl3eew4RzS+6v1ELuBc2+rK4RvJcqICGwicSSffvXbWDC73eRZ7xhU4nNGmvsXW+44n97X09+yr2+R0lusOB3vi1+tkZbYi6pM/u1GKG47tZVNR11JLa659Y1RwXvGlXY4z73AyFLErtYKz6z67EFns0k5pOrVRAl+IiUi7F6uhLr+8m1up+NcP8f2FktlXvPuLX/rgg+x6l4wcLmEutRz67OaqTie2q/Pm3cQmLj87NK0wTfkjl+3AXubVtop48bJdw/T31/NktPYk5HGu7PEZ19clFrKTH7qSmTZ9kKf79Xj3rR3H369FR7K3hUzdkE+1b8c2487pSbnXCeP+6+qJb7zDwD0y+Cd+rnZXSytcTK/G5dXDla+L5WJNXZtZGYxwftnr8ED+tnklfOveO/Vjs3jRGeX/3Lboe2ldiV87lFDcYK14PV68usncT6F9t3CRF8duf6V0u5f/ALnN5inOLDTs9P+6+9xEJ9l244Inj2ri+vB+lLbMI17f2dxiv+Ojpa4y33Fb3dj54V3OnePvMdHST2+Pr6fUYTFPc7E7myf0eJrZpluz5J8P/0VDfyuJdWZEwdNFHxVu9G6QV0kljFMo1ONwTPeJ7pY9hZYrfSavKtJwnf79XV8jPuOa9PbM0QfNaMYfPXdZGYZoxa14n2iu/w617atavEjrRpn/BccN/aHusec9dt+7nPrMnC97hneNtV3STmGLYq7I3go1usSNPvLrFr/136tdBBcWnctfXp3NNLYsd+FPxhA13m1UNiK/fODvaaoviEZuu0W/fk/78Bt1OrBP9mVvnxFveR516/8Z2q+NIRq54t7iUxre9JlX8EP6Gulq5rwD+feVY1gdOEc92og2kp3LVz/T82nK74oVzjpwsNJaY+ae2TXYJrbXtc2qS3xP6lGEbozlB8b0d3rSvcU7X3ehwS/IdX/aHzjCQ2cVhCl/YzFR84KtxHsw+/bodteXhCcJ9lJjeTuFepN1vQfZbiLVNTdR378uszwKEsSvBDP6286xlLbHniONe+sxW//P1C0Xnus7fUZScJPiWw7dQZ/SSWUeVsNNBReP4uWZZL/SU2pMZvTYrg4QEX3GK4B/o7XBo2R3E68FZtqonEnu0sendX8GkrfkT94R6l1YHs5iru9bna8Zwp//t/t9B5LPjEnFftJg+Q2J1pd7QnOQnnuuqj8i/uado9/uUIPqsrS40wk9iLzuzt9HmKr+h7J3yiucT6bNW5UCD4gJKOIbXcnc0PrXKaL1znHaZvPz1QYnONnvd6L/i+CJeQ8YMk5up8/7Grs/A5jB994jv3ZjnL5n8U3KD0b+rJwfz565stL12gePGobSVjLfh9YJLsWCF4+JCi9jXcm09JurtyofD3h/6dc2KIxAz8B7T7Ifgh47LoMUP58+7pkgXrXBRfnXNCvZr7eOvZYX8Ej5/WblG4pcR+5/xN2+QqnCuCZ+aOtuL/Xf6zijXcFN8wauaUKu6DRnl82ib40JmtC48Pk9iyriYljRYJ99tD+71GM4ktahmfs0twwxePmlZxf6r/LkFnseLHpJRrx4dLLH7Qo437BFeFOS8bPUJic1zdLVu6C+fhJ6kmVdz3nL1ZFir4hkmP/h23ltjU2ofB7TyEc0L19vzRNhJr4BSsf1xwzX1VN6u4z81VD++0RPGk340Tw0dKzM21f7PTgoc1yowbM0piWxvprey+VPF/IWaXq7mvSj9/P1LwcfOsH56wlZh12J/Ghp6Kt5lS9WGsncSmhWgMjxXcjI3S+859cfgt175ewv3np/m4U6MltvuZyYYEwZfPvBcyfozE+vWevdlkmeLtTMsKf3DXjBu8/qLg3efGmp8Zy89djlkLzZcrPj5RLWziOIk1sWxjdVXwdeqftX5xnzulbUMLb8Vf9l684+x4iVlEPr2TIngErWo2eQL/9wwZ5mm5QnF3x6YRv7nv01vQ6Kbguc1NbaImSkw11PIQWync5/8Wf5kySWJLr2S2uCP4lB96Ef+4fwpqEWi9SvErL564xtrzc9TtZu/uCe62TGvAjMkSW+eU1n/UasXrnczQ0nDgz/2lxt73BXdh9SriuVtXTTxt56N4cM/U4tlT+Pf+q0dahuDxxl8LGkzl/3zwxVdj1gjfo8nhdxe4747/kf9I8IsNr1U5TeP3Q89vWeN8Fa8OHqerNZ0/93POXMgU/Euo/ZCr3HeXau2YsFZ4ntZP91o4g/89V3pPfCL4x4TIeJ2ZElsylupPWiecQ5ZX/bzOfUr8rrhswa26RdsvniWx01+yR9qvV7zj6fQLerMlpqf3KOup4PszbDvf4X6t73q7yRsU/+Td+4inI38e2aqSngketdarQ7s5EtuwVL2pw0bF119vdv4+93mxeTNzBLdroTN65VyJka7bQQc/4Tw8d9HXTk4SaxEbczdH8MmrW5/M5B6+PfKtg79wPQ/uMHftPP5cvjyrPEfw5ECfHj3n83PRiLSvDpuE56lJl5853JdalbzJETy4S/s8f2f+fV25dcshQPh++y+422cB/75u2O/NEfzdkOqr+dznLDgyxSFQ8f6dsq9tWyix/EtHGuQI/i2lIm2AC39vSp8cM3mzcJ/8PL3oLfegyDvDngmutfff3xBXfm5Z/PGe/RbFf23/0GeoGz//6D+0eCr4ngQdtw/c972Yf3LSVuF7LFkRc3CRxF6eSfzxRHC1Js1+WS+W2MZj19jEbYL/k6ZWcF/7zNc3S/Dq8PKU4+789z698tT47Yovety3zzgPiWVadU19LLi+y/GoWu4xx7QejN0h3IfHWPaPXCKxN9vO330o+ITZmvemLOXvp800E0bvVHyE77/5ap78vjGp/a4Hgntt7tQ4gfvTmaWzbIOE8/wct5tzvCQ2dsTSNumCB0vPNjZeJrHenWIe2AQrvvX3vNHXuJ/VPLXoruCPt2p3dFsuscF6k2uH71L8rXPh3xbeEkuZmbL2luC+K9I+3eHu8KWozCpEuN6OPHi3bIXE1ny8NjFV8O/X3qs6rJTYT5eJp4fsVnz4xRaVj7nXrDleck3wpx4zG61bJbHCIZHtB/2n+Iy78X0MVvPn8v3FIy4LnnRMz/EV9/QB8owBexSvKdp+YIuPxEYdaz8vSXA3twb5pmskFtu2yYx+e4Xfr/5ug3fc1e9fYecFL36vv/k/X/65XW/f1mif4p7HEz9YrZXY6JZDVVGCD+hvN+sz949f9MJ77lfc2//Ni6Pr+PUwP3pMhOBhy1Y5jlnPf3c7a+UuBxSfLjf48oN7zBb1lScE903fvzNyg8Ruez6o0D+oeLOaNibTNkos2tlu3lHBp846oNLw4+e0jYE3Wx8S7hu5GqcucK997at9UPCiaa7uzv4SMzzVe1LzUOF5nXzFstkmfn6WQjf9J/jnDzXtbnGv9+D26SaHhXP7o871vAIkttDt7OWdgm+yMa/VD+TPqXejkhscUfzRUJMfj7n3mHn6/GbB7x9prrZ+s8R6fUzZR0eFz2FkbsveWyQWcOm/xRsFb91to3k+94kFnfv9ErxxB/X5O7by63CdV4lPmHC/autycNA2fv6/6ru7SvAwtVMvS7h3TGS9lh8TftepVzof2s7v59vvJX4WfLnJGZ9RO/hzbW49I/fjig8a65JbzT19mvohWfC6rz+sI3ZKrHrvjUrncMW3a85JnhIksetmA4e9Efyt/+4hGsH8/OO8dP3sE4qbDwu5f4F7+yHzo18JXtFn+twFu/jzVKWb4XBS8Wjz0r+6IfzzDAjIfSJ4P+thsXe4mwxKyB17SnF/y1kLvHdLrFvvsIz7gmdpD+ze5T/+fu03Ksb6tOKbz+RUPOU+e3b8hpuCm8l9MjbtkZjZ+5dsyBnFE29ax/Tfy/9+y9Sqy4LXtmse+pZ7993Oh00ihPO5fHj3nn0SS/ib3ve84JLmyz3D90vM69LHiwZnhc/TO+14BfeFrzJ7Rwj+o7Hr5ZMHJPY6eNm+TpHC53DnUq79Qf68+P3s01HB3TYl1VM7xP9+++oBrc4prm4+yzKJu3XCK8+9gh97HO3nHCqxgdZrDzeJUlzD5NRj3cMS+2xSdHG74IMdrLrd5X7o3L9b6tGKL9PfsHXFEYklZqpSNwrefKPjt65HJdbw8Y6YWsFTnPPdn3O/nPl1x8oY4d9/rapsc5jEev5uOfOr4P95RfmaHZNY6y1/W7vHCs/BFTU6Mvf//ovKUAn+8mJe0sHjEisdo+fhFCf8fjvZO9mG8+v8zYjfeYJHnZ3V8gf3zutM/KecV3yFWdWrcyckNny06luW4Auvtzsz86TELq2eMWN0vOKlhk/WNjrF32f77Y67K/ixZVqOKdx9T2//Zpmg+OwNT22XnJbY+t82hlcF7z68vZX+Gf69LLlnb5IoXFexH62yuN/Xb+AeK3ijeIsxfhESC2VNVvRIEn53Fo3m9TvLryv1V0tOCB5qNd3/LXfTAwunt70gfP5xHWP2RvJzVPfLJvsFn+Ezv9j6nMS2vH/0p8lFxd1D2naq5n78b0TKNsFbqOzcz0ZJrCzKZjFdUtzU/eON6dH8fq57rsE6wV/o/tbXjJFYpEf2wSrBrbI3bkvm3kFKbel5Wfgd7V/6yyNWYrkJy7aVCL7a4b6vfpzEjv0rLZ13RbgP/Nmh9oS7X/2eQ/IFr7fzwgH/8xJ7X2W40eGq4k6lw01N4vn39acq8bHgs5uYFrznbjVty8uR1xQ/W7Z514EE/j0aF366IXjPtWZjbBMllpVaWzEwWThvRI1oVsu9jdnr0gTBnZdFv4tOktjejB3ZBinCdXXb/YbjBYklx9edOyX4iH2bzjS9yL+v9gO9210Xnst5ZftvcQ+1GWy0X3DbHdG7vS/x8+cc9VdaqYq7hF7d3+0yf74fO+C9RfCBdS3OvOTua1H+57fga6NTU7df4fdh9+brV99QvP3hhLcWV/nfv+Dvhy+C29z4pP2Ze+Cci3ZuNxUfo7PULvyaxCx3m4S+ETx5i0mQfTK/X/Vbmzv9lvD561nkqqfw63lNkGa24B0ubzK+zP16uGtvu9vC+d+pwZ5F1/l70+vGVrcEr26QUdc2VWJNPdcNH3RH8d+R97wzud/aesksQXCdgT8q/W5ITN85uW2vu4qbxM3fYHJTYjcH7ywPF/w/tb/NJO57bLtfaXVP8X3GWQmHbvHfb1qQ527Bc40yZ465ze/zX1JbNkhT3PhbrdZv7ud+p8RvFDxs3eSH8Xf4eaDP1sE1gs+5+XyP812J/bna/uLSdOG8dGXjAr17/H2t0K+jJPjduROGPeCu/zx+neN9xUvihndflyaxuwWxD3IEnx4+Ta9vOr9P9vOpP/aB4pP7BGm/5d6+qbbZHcFnTC5qvv8+P08mrZwyOEPxpppju9g+kNi72ecWJgg+Y9wzi5/cS0dFu/R8qPj4VsvnxGVITC1p7fTjgpu7dN8576HEdha0sdB7JNzf+n++1fwRf46obW8SLHj3Nel0n/ujhWlP1R4rnjEgftzaxxK7MOLZVl/BTy+IONknU2JuBeeNygXXpMh/xdyve86+65opnCs0kxbvz5LYk6G5Y4oEf+57r9D2icQab+1+1yFL8U8TCmf+4t4ryNrooeDVW74Xn8+WWNddJlvZE8UntW/h7fyUn+czK7MvC75Hu1+Tls8k1n/XZq0+2YpvnDM6KYN7StPSQacFb6Uxd/6GHP7eul9/Wpuniu+nJW37P5fYeafuC3cLPn3K8iIVd/uLf53rPRPOFb88okNfSKzBi9jJ6wR3r5q5adxL/t9Vr49pheAHhw12/sd98nZ/Dbcc4TosaDD+4iuJrTwVmV4ouPuDu8MX5fLr8NAp38nPhfNPPQ/WPo//7mKX6z8QvHrPL7ts7uY99JIsXyie6bli9uZ8iVmM3jXwguBqYdk+gwr4e+js/LheLxXXa9vseBn3yyfrWhwX/PIHk6wThfz6ca5a0vyVcN5oPKDh1CL+XqO6fWm74CGbdMdpvubviUtdvv4W3GLc48Op3I1HvmmzIlfx+UudKpa/kVhaorFZqeB35YzJPYr57/rntOFz8hSfmax5I5970KKpVs8En/ixvenutxJzHdHbyDZfONf5UpL1O34ezs5tdF3w5osvWfzgPsdxbn6/AuG+nWqeGfteYvl9rh+JEPzkmsDF81US8wipHNu2UHHH44e1W0r8/fo+fQkRvKS/z82H3C92+eivXqS4yrytr58ssXYfYzTWCG6c6D90QInEKtxsfcsEzz1zTvMD93T5+ut5rxXv0vK/4mOlEvNO1DJ7IfhOTbPbkz9IrFXzgetHv1H8XuCBmAYf+f/v9KEXUwVP3BEffp27SUb7ov7Fwrmi06Zjyz/x94VLuTURgs8f3zCiRxk/h7gto7ZvFa/Ts75cwH1QH1XdLsHr+xs//e8zv/4nD/hA7xRftedR9cgvEhvZbX76KtEn6XX7xd2n3H3/B8Fd7jZyTPgqsTCNyQ5z3iv+ujzqmEs5fx8/31L9qeBxb8pL21bw++rQa6dtVIrnHCyyzOZe8Huw2VXBd+l7hm2plNhMdvhKb0lxu3UnNIZ84+cch1eG4YLHXfFeXc793NaqEF1ZuJ/kv6uIqOL3Z4OK91sEb1b2ZfXsan7/Cc40qBV8SdX+es1q+Pvynx3zlpQo3rXu2bF07rOe9tj+RvCyxpHD1n/n9+epZ05MLhW+RyPtT/1/SOx2gVp0muD73DRPlPyfXxpxZtAH4d+Ttm/usVp+fzZbuDtGcFv72B4OPyW2K8bNo8NHxd2a2/9o+It/Dh7jB+0RfExL/5wb3Cfd16tR/6R4x4UDr66s48+FZrfPrBZ8fINVZw1/S6ze8Yk2HwRf0Wjg8WLu1jdvP59dpviCNevCD/7hz4WMVtOyBO/lyKLH/ZXYNu3JD9hn4Xq7HXhD7R8/B8rLel8Q3DPJuvAq9/unVvp1/yKc24duVPcimT0KnXPvkOB5i/sP6K4mszP6Rj81vyr+yna2ZwH30K3FndYLvuBdbeIedZmZGKwb9EXwfyMb/7XVkNm42XVsXrniy/x2Tf3Dvc57ocUzwSOPbrx0sZ7MItMvdLOpUPxZZGEHj/oy+x778e8lwccnRuzp3EBm+es1H/esVDwl7VWTXO47dunsOCz4u8pl+0IayizQ/J9542+KPx7l1WWkJv/nn+S+WC/4lSfZyb+4xyQccfkiuF7YPsekRjIbaDJKdqoSzoHJlxosbiyzjNiC6U8Fb2hhdr2jlsyG+s5OHlEtnFsMdNa+5H6tPK3JRcGDQm2G72ois7gl7SZ3r1Hc9WB2M5umMksb5bjtoOClJkmffnL/k7s9rsF3xWljSVaitswObjh5b43gBds8UxbpyEx399nHHwTPmzcysWMz/ncuCk2b9UN4rrVxT3jJvdtCn/hHgmfcyb+6S1dmPV5b7xxaK9wHlh54aNNcZgX9/0yNE7x771DpF3eDlLO6HX4qXqH1VvNCC5kNeml5K0TwU908B7rrycznzd25fwVvu9nSs3NLmR02HfzF65fiSy3Hn8/lfsT4uGex4GXOR7/vbiWz5H7f3kyqU7xDgx5jbFvLbOP+QSNuC3596KeIP9yTrnoe6P9b8dSWHxpdbiMz118H8k4KPvqcvu/StjL7mny+qe4fxdM1tpV3ayezsqnXBgQIfn9Y1+WF3If0vjy2UvBOS8t/7msvM/UjEQ7Of4Xv5UTZrrH6Moun7eOeCW70Vc9QvYPMKm/PMR/xT/G9S9yfJHO/YdGzWZLgF/uUbvDuKLOJj1WFnenr/3Nf211mhp349/jq4OE9gv/Kml7zlnv965a2pKb4zryRtw53ltnPgjxpmeCJ66fus+8iM/tQj1XFghtnbfbS7Cqz45O/VU9UV/zP+6dTbnO/umS5203Bxz63sPbtJrPrdnJGXw3F119KtejfXWZNRk/WPy54v+MzhnzgPin70vwm9RQfEqE58mQPmXkNb3ZoveDn3mZNn9lTZkf/Lkz9JHiq+9kVzXrJbJRn4vNZ9RWvnB4SmsHdsKKmMEPwn7c2p28ykBkrM3s5qIHit1K3/R5sKLOHdz1vRQq+wPWAZSX38YUnj7ZsKPydOTFbo3vLbP+RJ25bBM9vn5HrbCSz6AU/ulUJruH4ybRdH5m9CWuf46ypeEqUTmgO94cxQ72fCm7ScWC94L4yG1kzQ401UjzvheM6G2OZebxbHnhecIcSv5913I+/3FbdvrHiG5ceD7jUT2YBg4/OCBJ8ScDl5p79ZabmHRtbK7g7S4/rYSIz25KUCjct4bq6/WjSG+53/2X0fCl4Xue0ukOmMuvZ49UEmyaK165NSJw0QGZLb753TRLcrzTIS9NMZlkDyr06NVU8Z8tU8zvcH3ypWxwi+HbPxvXXmctMf1qjqXWCr7wR89p0oMye5bTu766t+NE9A26VcTd62uvPK8GZxpnoiEH8fnLF4vpIHcVzTX4cmztYZnYVEzwuCK5nYXyklYXMSktcGndupnihuW14NveKev5hIYKPG2UVt2OIzGouHetQJ3jKFt17I4bK7LnzzT2LdRW/pnvn/S/uUT5S9UvBGzUeq3XJUmYvnXTG2jRXPC44xtLTSma/trI9iYK/vPTWp+cwmdHM1Q86tFC85syn5GLuOiOSyoMEj1lzv/4RJrM956s0awXPnbhitsNwmZk1tmrhqqf47tGfr2qNkNmneyHaOYJ32GLaMZ27ZFfya1hLxRt0sQnxs+a/Uw27vFjBGzH9+oNtZHbHJTGyTSvFW/29vrWS+9T8rm5bBXf066wTO1Jme7PDW30TfNhbu1Muo2RWfbn7NafWis8c2d+yo63MRtRdGvtY8A2Pc4tzuftq2z8Z1Ebx5EOWu/bayeyt03frCMEnP5gzYtxomf1zjIpq1lbxG34D/9Ubw39fq93+bRD86psH6Te5P2xvYvdR8J6NdA76jpVZ5k3NTdPaKd63c2NP03EyM8/+En1HcCPbqxM+c8+78Tatb3vFk47rDYocz393de+eHhF815jOhvMn8HPar8qs+vqK316a163dRH7/N9JN9RZ8Z++hvV5wf/SPhb0W3DHSdsDuSfy5+clvyZgOir/T+Gk32l5mLZ2e9Lks+D83e1f1yfx7yTQu7txR8RdVY4NTuVP0ycBdgl94UpLs4yCzzW7dW9cK3lO/a2X/Kfx78U05trCTcN1SXf8y7v4OC1tkC97h9LK1Z6fKbN3iTuuHdFb8WXe/R/OmySzYuPz5WcE3xXfv3m66zFq3fd5Bt4viT1yct73gnnbs8cwNgh/3NK3cPUNmq4zzt5QK/vvrQZcxM2U22eb3KYeuwnWoE/RWYxa/nu3NE28I/qm6ietN7h6ZWxIMugnPqfv633xn83Nan7IT+wWPi726fYCjzGaULA74K3jZo8IeX7n39f47xb274kXjtmdGzZGZm01c6xeC95x+bf3CuTL78nxF5rAeiofpeg7o6CSz8iMOK6IFnxh5piqPe16T8Y30egr3W8vZqfvnyWxKxLy9foI//L07ZOJ8fk7IC2n8UfAsneGLGjnzc0Xn3FVTeim+JXzJmDTuN74PfXpD8DY5Omb+C/h1m5Oqb2CgeMXz3r2GLOTXVZ/Zs/cJHpGV0rWGe7Kf3s7fgjf4eKNnoovMBlh/jnIzFD4He9MBS1z5uaviXfJTwUf2bTW6pxu/Hup9vz6kt+KqmEWu77iHfTdIiBD8YlX34GOL+P3Zev1+bSPFz5qOT56xmN8PF3xZ7Ct48b7C8ubu/JyW49/vveC32DPjJ9w1mgwoHddH8TcuRj47PWS2MrjhnsuCaxl/SB+5RGZjMv8YduorfF8P6nekpfyfH9vq8g7BP80J9LvOvU3gZJNvgk9vP6fUx1NmEeUJ4Y7Gio/ut3emqZfMbumY/kkT/Fx6p5wv3KfNyxtv3E/xI1oNpkYvk1mQ45mQUMHXGFu/cVnOn9cB+29Rf+H845izvLO3zC5Oin7vLnjwnUtaRdxNbOTvOYIfCCmND10hs0UFdr+Hmgjnw6+LZ09Zyb/3/c++RQj+UneQts6q/zsnBBY0NVV8cC/7R4+4r1w056KP4Gzuhd3bVsus2N9pY7HgjVSOjtY+Mlt8Zefg0QMUry4d2/8v95igN1Ki4P+FbWyaskZm2zbMDWxrpnh032/fVvvy97ImDXUDBR/xJPKtyVr+70ku3PNJ8NDzR1594S7XL1KbYq54l98ZL6LX8fcgb02X64Lv+mRa6LpeZq83Ol/tNlC4z0e//NhlA3/viCutCxa80COB3nAP2xhmUi344Hk3Ox3dyO+3qzbOnDNIcbdrZDfdj7+/N9+9PE3w/lGrfJr7y8y7IGttn8HC/WR+m/gn3F0nWq06IHhxi09fgjbJbHRl0bzfgq+uLjW3C+DvobbnLV0sFG9o3mybRiC/Hz6Nb5wp+EZN5ze3uOu0eP9wwBDFv5/KG7Zhs8wW7LNbFyb4Q7PV5wZv4ddVTnF7jaGK76g2a1PDPWV6bLyH4H/0Wu1N2iqzFRExpjmCGz1q1dxrm8z0hr85Z2Gp+ITR5mG9t/P38Xhb7VOC591b1qeUe/fVkqumlfC78E5LP7ODn6PaXotfJnjrbSaL5u/k12fnux9eCf504OVmHYL4+aGZht6wYYr/vTbhbj73+cvX9z8ruIn1z/WHgvk5JN1oWBOm+CDNK1ZTdvHPOVTPaqXgTUcENmwWws+fSwb2LRC8puuc/EzuGY/2ao8Yrvh8acTFnbtl5jS017tzglOqyUHb/2TWe9SPCO0RwjnqraG/xh5+3liuPnu14Od3Gnjf5v7bZgwVCT7oq9GSjXv5v39MZqi1teLSKFPPIfv4e6Xmrs7Rgm/NsFjzg3t2451HdWwU7xg/fOel/fz3lXevvo/gH4xHnfE+wO9XdZYLigSft3lUuvFBmX3+XZ1gPVK4z0isvIz7LrfPX6MEtwky7RJ9iF9vd7t10hml+M349o5uoTILPxo2fLXg34N+Hut2WGaX106dUij41pmPSt5yn/xp4owRtooPnLxrcPgRmc1aEzz+nODaCVb7HI/y94jYxgOa2iluH1dU1SZMZjtaZDVeKbj35kVzX3GPs3j+PE/wHsuKnuw/JrNhMR12Dxut+IwYi9GTj8vMoTLOIkJwo+UbH2qH899jWMCrRmOE817dWYdM7tvNjrksE9x9Z5Jq5wl+Th7zR/VC8CFTwzfYnZRZ7OKzU4eMVdz3sEeH+qf4ebjDwSsnBPfYp3f/Lvc33zMb1R8n/H79jvpsOs0/54AJEz1EP/LLeNgZ/v87rvWWbMFndB5QXsfdROodazZe8U721leTI2R2Om/HvSOCW7r13L7mrMxqr5pk/RV8/MnXTuaRMmur2zNj4QTFO1u6Davi3nml26UMwe+vudkj6ZzMvDyr9vadqHjAXklvWZTM9v2XNX+f4M8fvNLqGy0zZ/eazj8EXzFrf+My7iVBS3IcJwnf+9Y2utExMnPf0n/1bcGPBrl0WhQrM8+SkY162CueGLXavEccP/+MiN69U/ABncZOUXHv1cup/lfBa/u+9T11XmaNDFw8HSYr3rzlwMh58fw5+/L6/SuCP9AbW9ghQWaad1112zuI5+d2bYq4J/otmOAv+KT5Z+ccTZTZ++MX1qkEz+n7MWpmEr/Ok6YfsZsinFtaS79bXZCZ34RJ0bGCj3Q6MPMld3uN4zE6U4XvcWTt9f0XZbbcbfjxlYLra2n3crgkM4PGQwJyBf9e/fxIs8syqwoImj50mvDPjxytl819t7NphxOC6w51PxRyhd83LE1fqk8XzkX65p3HX+W/l6ggPzfB44xikhpfk1npIMu2jwQPiL0/9iH33Zvszvadofjm4h1l25Nl1rz1+a57BXfUKt9vmyKznXs891YLXrrih0396zIbFbizcsZMxa1nn6y7x/1ZgJrNdcFv1/+QEpjK/3u7v9racZbin5MzA0bckNl5Nc2UAMF3XR9vTzdlNjA+tFgS/PQkt563uKvf2frdbrZwfrjeup7fLX6efJrzN0bwcSPnfbS8zd9rVvnXNnUUnr/9hr6q415qvUu1XPAFadGPUu7ILOv5z1vPBT9qF31/7V2ZHb2ZETJwjuK//w16NPiezDqE/Rx/RPAOZlNf/uA+Xy3kT53gD3r/Lr2SJrNTOzefcJqruJqRsbpPuswcM1+b3hG88YYP3czvy2zkgmNXuzkpPsvVcEI1d1vpVt9tgp8xLt948QH/vspGH/wg+NNOg6+syOC/U93BX8fOE/79AerfTR7y99bykMHnBT9/dLxVJfdLncat0pmv+JTLersSH8mseujyU96CP2k76/2yxzL7782fW88FN9RtM7xfJv++TldnmzsrHitNOvv1/7zLtGehgj9//Vc3Pktmgd87pf0UfKZtt22eT2R29sa0KMcFwnNz8XW1vtkye6L7Y+MNwQND0rd85n5od71RnRYqfpWG68Q9lVlOtt+fTYJ7NTE8teQZf655u517L/imOr8hRjky+6uTaj3SRTiHtB1e+Il7kt2m7LOCWyR6bI55LrPply9OaOiq+MUmf0w9Xsgst2b6jcWC91lX89HwpcxmR3p0fCR4+EiHqI/cmUv5ciM3xa2u6XpFv5JZuyz50i7BV3cxHeqeK7PrfhM/fRG8LDNJxzCP339a99adtEj4vTf8r+wD95Nmaw0TBZ/SMeNJVL7MDq+2HKC7WPEkJ8fkxQUyu+u7yniF4Iat7GINCmVW73WX9s8F37JvZ8QH7n4jRv0c4K74nS5dzkYVyWzLqOKMA4K3b97k/OLXMju3o2JnjeANL4xONXjD7w8xay2neyhuZv8y5wP3g+PWv70i+LahiRVRxdy1vq9uvUTxrvdyW7q/lZl+8KffawR3GTjW2vAd/717zFqdJ/gbqb7PR+7bx9kUD16q+MKOjZKi38ts3pOoIUcE/2HqUOWu4p/ngaDtPwV/t6LYsrcks6fsY/osT8UPGyeEfOIe6Z1ekyx43pVbcozM36MzO7Vu56V4yBydUUtKZDapstZwneDvlh+LNSrl55zNk40LBB8yyrXtZ+7pPXp3H7JMcVOjxbvjPshs6brNWkcFP73qTGPPj/zv6e4k/RQ8bGXL3X0/8ffoBynxs5YL99t1qW2+cq/X8KhHsuBBhYdi4sv4+9e2363beiue9vG0zbLP/H748f0VX8Gb1r5R9fsis4UvJtjlCX5o1pjgCu5ny6weDlqheJbzW4ukr/x6eH7RMlTwaS6ny73LZWZuknjqu+DNLofEmVbw96DoAbXTVireKurk8iruL98OG35Z8Ot784deqpTZ2o05a/VWCZ///YHaq7/JLLl7ecRKwaeEXSk1r+J//4aDd3IE13adkfGd+4be97NNVite49s68Wq1zIa/DMjeI/iWPjXhvjUy69Tt4e1ywV1efj1g8Z1/jynHzkz0Ee5LD9X3/eKubfNnzXnBfzr1O3T9h8yaLiyzarJG8b6fV5zaUCsz3buLajwET3rw+KLVT/57b7gy/KHg00cPzvrLfVZhUwsDX8V7pl/5cuuXzGzkwenbBHc9OKplQJ3MfLKqrWXB9zRT2Vj/ltlES+sLNmsVn787ZK3GH/5cLujS4rTg991srqRxn2l/wJXWKV5eqf5r61+ZjbE7Gu0k+LAdj0ba/ZPZ3MVmxamCTws8fEiTSljtnIUN2q8XrjeLJeUPuV9+0qvTWsF964+YFKxWwtwWBRrmCl46vM2V8eolrPmzlT3MNyheNLK8m7ZGCau5/Lv5fsE7Lkk7nM3d/3aHbxWCRzQ9pLe3XgmbGZZ7d+JGwbctCHWoX8KcKntvjRN8T3+DLnoNStgJzzYWjf2E68pNTnrJ3eX6yTeLBFcPPDwmtGEJM9qWtjpd8KBi9mGmZgk7vXbL367+wrklPz+kXaMSljjine8mwT9lugwp4r4yqFB6LXgHveIvxxuXsMG0ynroJuG8rWUXNU+rhG2bFLv3sODndMLcuzQpYa17BObUCH55Q76Jivvrvj/rTQlQfH0CqZ1tyr+vVrqGiYK/q6eT66ZdwtJCHg1rGqh4ywL1SwY6JSyL9bT1EHzF/8d0fcdz+X5/AE8qikT1sVdGCJWMSuWSkZTMJETISEQkiajsKGUTirSksmVv0rAaqOxxD4mMVCjf6/fP733+fT7ej9vtvq5zzuvc+JI4hr37iwR6BTzxUlzgM04CdbG/kpEIYrjZ0lYvNy4CzQetXXUNeJ3fE9ft6/H3n/j9oRf4piNLLtPYTyxcj1UNBnm+Q8GzcAOB/hyv1UoEvnRa7Yr3RgJ5F98jZ4AreYjH7vqPQEz1kpcNQxher9v/fB77iq1Hlz8Hzm98rq2Cm0Dcj2V9V4cyvJf++CuAh0Br+p4NOwAfP8cmtZ+XQAOB3Wp1wG111lsx8xGoTTsnUjgM9LcWMrkRu1aXwhtf4H9PRfSG8ePzIm3mO4H7u/yWOiRAIDfpfYKK4WBea2+/xC5IoEXdV9tuAe8z2t7Rir3h75LSN+CeM3PbooUIpPKTlNW5znDvyMB4E2ECzQxe2ZgJvMOvg4lbhEAfLjRP/AP+ZPOQVzf2Xru6MosIkJMn8ifuiBLIxNLNpxi4n7KGu9UmAj3kapFaH8nwAeuoORExfF67+pvPAo9viQ8ewp4Z+NDyNfD+kWN8D8UJpJgpOiBxA+Q01vZCJwkCOR8xOnYV+JmUpWNbJAn0UmlX1VfgFstHlsaxN7B38uy8yfC9GX45OZvxc67LnooB7tPT4OApRaAC693p34Hn8FaJKUsTaEh9WdvBKIZXlzkQv7A7j1ydzAReJVWWWyZDoMm/5UxLwBcbSq/5byHQEY38lRa3GL7yt525uiyBbjnaLxQCT91cuJNZjkBzIh+G1t0GdVScLdiEfUZ8qfwM8BccB1mvyxNITpoObQT+KS5s/vBW/P2HojVFo0EfyDk9w7GNQIOs81O+wCua6OkO7FlGYjGfgIerr/4Tt51Ae8+zSWyPAe8Z3LjyuAKBkETx4wjgMfOCfAI7cB8TEBcaBb5zDYdiH3YBTpNgFAv6iUCiSYYigXaWHuhNBj6TUOxrr0Qg3dZ/UrPAX4+ceSKljL/zqsv2+nEM/3g2v2cM+z/+6pgnwJlTInleqBDoQl1z/vJ4kBM+zR732EmgqKLkhhPAK0LH05V2ESj/2Y7mYuBHeD0mf2H3s4mr5Exg+LrZq1rluwlUcr36wRngfMH86QGqBDo1WOjfALxkx97lGnsIVCh64aBwIqjTMyNnVu7F/YeJaaUP8P8SuL40Y1/cY17QATxWtM7gxj5cj5EBJrJJDJe6MPvWQA33vSyP0WDg+5ce6W9A+BwNFJ37gN/c0t3Vid1sV0PfzmSGT9mFOt1RJxAhLHkgGvjNjbl/rfbjeq88dm8MeEm2yZ1NGgSKaDMf07zD8DXx7vtGsRev2yaVBlxv33LyiSae77u7TOeAR3KtSXTVIpALq4m3QQrDV10JObJdm0AKuzLDnwBXnfFcM4u9Irj5BlMq6JNf21teHiDQ5qf1gRbAhx6lJfrp4N/bx58pAH6urssJHcTz65yaFnsawydS/dWYdXGdRlavcwA+/+CmwCvsFh58LZXAz+quWoo4hPt5v95l7rsMt/wzSukfJtDaWAshd+CcErKf1+sR6ImuZu4r4Bt3f2zrxD5Sw6Iseo/hMk/63905QqCE4ifZPsAPDx5ut9YnUCO1eWMH8GdHeb6IGeDn/xfkJpPO8BpP9TEC+8OFyrJrwLc9a1yWbUggU/Pu35+B93s8FHI3IlDQ9/fSOzLAfFTqU1c0JpD0xReHIoC/cHQ78wu7W5GL9RDwMp+jd8pNcF5yYrNXvc/wLz1R7VeO4vo6EmUZA5xnpeBaLVMCRW7+qTUGPPfUvAHrMQK9y1cX1chkuIiLdPI77Jb5Ht+TgQtGPaBumxHo+mj4syngceismulxPMfZw6x0HzA8f/rqHT5zPAcp12UZwLv4+xZ7scep7on/DTxTNsjhvgWBltVPCxg+BDkwye2joyWBTmrGxT0GXt95V1f2BIHE/UWX/gH3Nl/fOIl9TCHJ8tgjhl+Pf3Wg0IpAgeKLWc+BVy9VtPpY499vODK24jHoS2unTuw7SSDjxkjBE8BzdthNMdkQiG++RL0AODvBcaMJ+zuvT8fWPAE5IfWnXKQtgeR/D1rbAu9/t/GjgR2BJHX6j5cANx4/c23jKQJ1SrRqrctieJDHnNJn7DeP5og5Al/+oWgizZ5Ar5KDpiuAp4Q9fmHnQKDtJYcLNzxluOGqN15SjgR6fJ719Bng9k0C+8exK94uW1sLf49SNuQ5EWjje7uHPNkMb6QOjF84jef+X6ZtbsDzVYXeqjrjOdiV9LQBuPpzwdwl7LUS0rwCzxjeXqKZ0nAG7y9ZuRc9gP/7dPvGdRecE+QUX78Cnu6/PFjflUAXPXLZhZ+D95FOvLbhLIEeqMloeAEvMzwS0o39kfld5zfAmdzFb6W5EcgmnDNI9AXIaX957tm54759+2qUN/CyCzJFUucI5L97MvId/L3xsY5x7LEHrfzEchh+b23aTJ4HPpfgtyd8gO8UWxS46Emg8ULV7a3Al7F5Htp7nkB/72X/FM8FfUzzbwCTF74na0WeXwL+Rju1tAl7fX38sTbgeVFH5iMv4D0uknNaIo/ht5LX7TfyJlCe7O0rvsBdhwZucl/E+4Xrf0ttwINGqwe+Yt/PnXFOMh/McZHs3Rk+BPr8Q/GjL3Af9owkx0sE+tLQKtMOfFYm/a+sL+7DFp4ekgUMH519dHoKe7OfSLYv8KdjBZ+L/Qh07UdnZxvw/vBGw8uXCaQWmDwrUcjwY0e+tOz3J9DReacVvsBFin8YsgQQyEBMc1Ub8Cv7Wb68wz5aLzsvXsTwhbOCzjFXCPTridiAD3Cjsq3/zK4S6E6KdEkL8HMP9yYLXSMQh6NaoFgxw6NfaKkOY695b692ETi/qfbgk0CcY5+ljr8FnsO7L8otiEABlcQN0ZcM335py36lYPz+HZoiF4AXzrHN/8E+kF+Y+Rp4NNdASXUIgULkVfmFS0D9HnroHxJKoDr2T4GewCs2WRw8HIb3LMHQ3ibg7bx/ebnCCURJ6W8RKGX4u9wbk53Yixbknd2Bi7mwvEu9juvl1OY79cCDXru8sIsgUJ/crkqeMoZ3HilJkI4k0FZx+/cuwNV8vwVPYE/ekP25GjhfB/OlwhsEYn279sOGcoYvfVzy9L1JoCTum1VOwKtZ+zzVo3AurZdJLQduP5nqs+oWrvd7Iy7rKkA9su8Jfoc992KV/Cng+UPF8TG38XnxlwwWA4+e43h+PJpAyqbvw9ZUMrzp7f43wjG4P8+tFbUGfpU48n0Ee/Y7l6d5wCXeKnBnxxKI59H45pVVDDf9903LI45Al42i448Dn1jhd2lnPM7JaRZz2cCX2/cW/MXeZa6ruwR8OJ1rtj6BQOym1lHG1Qzn3c+tGpFIoErrO40PgTu+oUMMk3BfPfBv4jfwN3URXdzJONd9jVijV8Nw39xfW3uxy06q894DTvFtu5F5h0Bihpt4p4FXh2ybdE4hkEib3BrtWoaP+P4y256K88Be+4lE4N5XQ5rmsAs4NzeMAW8T6latTCOQj6TFzX114Dt/+V4YdBf3fw3+g7eBH1drVDp0D+fV6NU/h4BbdZwo40zH32dEOk65HsxrgQLtLuxr2S5JhgPf9qipMy2DQA7d80++AJf5E3/W/j7ub0I5wvINoA+niayRzSRQ2POE0CvAJwTtcH7C39k8f6ADuNayE0dLHhBo9exyeYlGhut3sC2/8pBAVQbXXbyBj/KdK9J+RCANdCC1GTiPfZgb+2MCucerVvM3gX6iaij/AfshSaePrsCLNr+eSn5CIKa6d1+rgNsW/ii3ySLQtJrrJ85X4DlujZFST3HudT9QawfcpF/bdgJ7q9SJe4XAlWPP7S3Kxnvonhfuq5oZfvk/LaHLzwgkEbBvx3Hgq6ermDWfEyi+YQ2ZBfxXYf/k6hd4Pg5xRy0ATxp7MNiOnX5uJ3XkNcMviaz9nJhDIK75ify7wO0GuDutc3G+Ta3Y/gP4sbKabsk8An10fpe+/w3Do1RXD45jf7lThDkW+LWJiYmCfLxnfS0yGwHec+rccr8CPL+2RN9VfsvwSOkbAhqFeG+dz+sKBf7ijbrq6iICfd/Ex9wNPLP7hnU79n3er0Rl3oHcMugWnlhMoKGWyu2+wBM8R19av8T9fGlxx1vg7oKT45IlBJobCJESbAF1dDZC6jv2l7rmHGeBK80VORWW4vvD6UNWAj+mfe65XxmBlNiH8zlaGb7528vfGuUE0tyYcu4k8I6LkbprKgjEsixDNBd4mR99rwM71+OfdcvaGB4Y1r6QVInz/GCymRFwZjlkZVOF809oVF8G8CPzig1S1bj/uH00mwb+LOj59knsXh6u9RrtDM82f3q/uIZAjqfNNsUCZ+GQ4Q+oxfNdNsFjGHjZDulE7ToCvYmVKVTsADnB/BHf2noC9V9aTwcBV+S+n/ER+3ixEedH4OzzfNtSGwgkJ0HJSLxnuFMSe92pRgKtSulU9gJuG+xjIdtEoHU/hZQagOsanfg9jf0fW7XExg8gD8QUp5S9IlBZaRmLPXCnnhCtwGaci7q5eguAO9Q1T+u+JhCzRuMD5o8MH+v2f8T1Bu8pHZ+sTYC7FGae/IzdykaLLRN4Ir1LOOMtgQ6/4Xo6Ddxi7d6h0+9wPqTV9mh8YviHwuzs7S0E2nDnXVU0cNsLob6/scsVlysNAr8z8ka/phXva3xr07Z3Mtwg6aJ0eBuB0u/V/roCPHRzJIthO76fEl+02oCHSa4Y5+kgkFCQWbBwF8NbZQc/9WO3TlItPgt8fbto4+P3BJJSD/5SAXx/Vm2p+wcCtR9TnmLrZni4fl3Bzo8E6i7Rn7cArme2qWAJ+6RGx88s4Jste1+++oTnRUfl8G/gP6dma291EqhY478Gnc8Mry9w7DDrItAtz+6EBOD9uxQIkW4ClauxnhgF/o7PZBmFvSj44QalL+D+TL4Ryf1MIFGxvMpA4HrGiVo+X3AOn5W16AC+uqfYTf0r3gu+cNMiX8F8l5S+y9pDoKY8zzNuwKNf0+/bsQceV++rAD5gM8+e3Iv7w/OrWmw9DJ8MOa5n20egjCilNHPgHB+WR8v0433/6wnqMfDmoV9fprA7eM5LzgEfNVDZUjaA96wdHMe0ehl+sqgiIHAQ70cLST4xwM+/uN59aIhApc9Sbg4Av9WZsnPDMIFUJXnit/Yx3Ob1VMpX7PNa7LcuA38jFrHywQjOXd/8/N4AHw845eU6SqCvfxwtePsZLuJ7mVIiCKRg0CrrCHwm94PtX+yK7/InC4Cr1DgNNJIEsjP67xHTAKhTrZ32URT+DtVz+gbAj/Sofz9G433kl9lYKvCv4kF+ImMEMvu822cM+P7SRQ4Ku61O2u+dgww/q/rsce433D/FglxCgAdq39a+NE6gFXrj7e+B9/k8pvZ/J9Dzh5+lRYcYLnD+x+01E7iuufTOnwXO8sFZ7QN293NauWXAc3aun0qZxHnpYX0/yzDIw+rUE/sfBMqJecNkCvzSjTEH+SkC6fBbcN8H3lHOIz2HvUf4vNAkcH03t8mqaZw/g7h59o4wnF/re3nYDM4PMtrM14En98bcNJwl0N65pcFPwE9/tbLn+4n34rc6BWKjDD/Rp6c+hP3gDaGL7sCvh1lvyp4j0FvBQPkK4Mo+0SxevwjkbOPdyUqAPGw0Mr33N84DqgsepsCNik2HV/7Bf/c217L7wC/ojHS3Yr+iVXZ1Arj/46gPifN4L9szN6NKMvy9j8kHmwXcny2azMOA81grdMss4t+HyOZ/AC41v3loGntdxua/IhT4/Y8dU+V/8fePLVF1Ba4ybLIy5B/eX9DQmRLgay6GC+sv4f008sHNFTTIFQZte3mWkejliWWZhsDXc0rZDGCPTJp7mgrc2yoqPIuJRHclwh9SwMe+Mhd7LidRKVEUozQG7uH2UGoPM4leNVz1vAp8+N8G0ZUrSNT/gNZ6B9z2e/aJVuy7z06t5v3G8KF0vbuJK0m0Z0Vy7Sngc1WzIzarSORqOOiSA/zk9/vbt7CQyG/XW9YF4Jvem16bwa6ZaZZ0YJzhbhvYuypYSVR5MYw/BniFWYNC6GoScaRZ3uoFnq/tH22whkSB8x/npL+D7x+sPMfLRqKIi7OGXsAdy76dHMJevVCWVg088dbd1mx2EvW5yfSumWC4ebaexoW1JGotUV93DLhX0WyZGgeJEmqZlDKAT5jG72Jdh7+Dx9nD48CXlOTLO7Bn5Qab7pxkuOBCmUYKJz4Xp4PGgcDnDPe12XOR6NyV0v0twD368222rifRmYFucd4foG8Y8P/6hT37/OPfdsDXHPaMqd1AooNim2ueA9/oV7ojciOJrnwy9f0NPPX6RNfR/0hU5L1TSnMK5HBRzkBhbhJ5Tr5tugncdUxQgcLuKLPRvBu4S/SG0TweEjlzcPWJTTP8aM10mh8viS6E15ueBc4pVmqpzYff/5pczUvgtbYOwuv4SXR0RE9o+QzDm7bMjXZj77kjeVYPeL70mfz7AiTqvvUyJwH4MZaaIFdBEi09Zx4dAF7qOWeuIkSiHQNr1srOgnPhYVdeJkwiD65WqQvA/6QvbXyD/ZucvnI18BWVbX9iRbAL3VBe/ZPhMrx+w1aiJKLawqVNgEedXPZeahOJ/Ldqc6QBv61u3TiF/YxkHUEAf306trJcjEQx6cvyt8+BfBJ6tyxEnEQrbzCd8wV+/EBAhYEEib5/aBRtAL5oplDPJ0mi+/b6DWt/Mdzdubh1+P98S6qFGXAnGfb+55tJFLY+dzgdePsBhdmLUiQSWB15cgz4x3MSHBrSJNJZkG9V/A367bEROXYZEvF1Jm/zB273xN2wE/ur0LagJuDH/2v0Sd9CoqfzbW/W/WF45ZHhh2dkSbRfJHWFOfDPTK+7lORItH1ISeE+cMkhL44l7GoKKYbfgFvcG9V9LU8ii/k2O6V5hjuM8UXEbsV1LfvRyR+4hxdnm9U2EkkVPDnZBLxn4hWv9HYSuVzRP7RuAeQKNuQ0jX0koEnqOPALfl5lFQr4vqVz/U4HfnXKcX3YDhJJvt9eTgN/JvKfu5EiiR4zS3rsWATvU+LfLqBEonfik3x+wK+73VMhsLduul1UD3x01icjV5lErN9Ztdj/MvzpP1YuPxUS/fGyaDwKfA/SD9Heic8xK2R3GvAdZ3T+rdtFoopLkemjwO0UZ/y+YD/Q6Tov/w+ci77hvwe7SfTrxRYdb+jnrELcVUm0fLYxtAr44BE+LtU9JGqOR6Wrlhj+5E5gxoq9JKoLTurTBy7InqTShj0hr2MuAbij2fH25H0kYl87ztQPnFKoc7NXIxFbOLW0ednk//suo49c2xCJHm5o/uEGXN7lZukf7GszIj8WA+9QHndoUCdRyial7H/ATztNct/aj98/tM7rABPD3Yvj35lrkEipbqdCFPDUz72hEpoketAYN/AJeE9Yk/Yk9oXAL4FCyxlu7qO/ukwLf+fx1bwOwN3tvDqCtUmUNyOe/gx4xV+VuwYHSBQdKSMwC3zt8nh3fh0SHX8kcH0PM8PdpG5qj2LPUFmgA4GLbRYWzT1Ioi3bXu97A/xh8YElX10SvQ8MDeZawfAn0SuHtQ+RKFVCqeo4cKFz5m85D5Mol+XD2D3gkmz7S75iNxexX0MCFxMsz3qkR6IVJynBrSvB80803fM4QiLtMhuxC8AjQm3v7NXH91+ilb8C+DuTyGQWA5xDYhRWMa9ieH6ARtp77Bq/Ikd0gRfWhjxMM8TP1+krug08tMsk/7QR7lfeMr5dwDn9susVjXF/8HVTEGZhuLdT5Od/2H9qv/hqD5zn+PTMaxMSfWqlfbKBB7L2r48/SqI7q8VWTwO/rmSoYmOK+8Y3sxu7WBm+LUnLWvYYifJP31h+BXjBZFnEHHbjizUujcAjf+WV15rhucz+8xXbaoY7uUpP3ThOIm8hWR5j4NvYhGSPm+O+nX7KPAk4U3SUs7gFidZH3IvqA7673O/ZBPYDHf3FEmvA83WGZ0otce5ykXx/BvjRmXoUcoJEmQYeA7nAl/sL3ja0IpHW+YbBOeAv7n8bEbDGObBFpHMvG8Nfi21XI7HHmQRXBgJfKqdS8k/iHPh3OrEZuIr8xn/+Nvgca10dONgZHqacZ69ri/9u4rTkUeC6cVVtG+1IJHIh5HMycLbVe9AA9ljjzVf7gd82kSzIPkUiZqlOPsm1DO9SvCx70Z5EE3T8ozPAuc+oPdFwING/GMfNucAri8/IcDiSaI5PN/kncK8vSy8+Y6/xVltS5WA4b8LirodOOD9k6By/Crz+6clX507j949xeNAIvPGzlMVeZxJt3Z88vGYdwx+PmEyxnMF98vHwf4bAZW4O3fiAXadCe088cO3493L3XPC9vVRj8gW4XLVYxxlXEn3pOnpShJPhh1o6LqmcJRFTO7O1PfB9gX2bl7vhPmPZapAFfCRdp7sFe4xnkdIEcINxtqhkdxLFrytjV+Ri+BupLQcdzpGoRLa36yLwbu6MVQoe+D1rRBIqgCv7u79exL70KlCHaT3DPwjH3W72JFHLHpZxbeAD1WtPxJ3Hc4H7RVAE8GqJr7I2XiQaNvThaAPOsX5hSfYCnheE440NGxiepufa/Qt7ZofvXzPgAcnyRfXeJApmL7JNBT5TuS/h1kUSTUZzlw4Av3Qlxc/SB/eBE+nMkhsZ3pyp7SB1Cdedk8l+Z+BvfqiazGCXfrHd8znwB3K+2tW+JBKV3Z0wBfyl0PK9kX4kWvx89rnyfwyPj+hQMbtMIoXitpeXgK9TJZXF/XE/Lz9ZVAlcemb/7knsMqPCj5i4Gb7Jf0C9PAD3520cEdrAz96r1Qu7QqJDCVttrwOv3DRywuQqnnf/XZNtAT779oCHyDWcw7NW0Zw8DN/hSF3/hv24QU3yUeCtJa8evQzEe83ynH1JwI/eGH4VFESi3uoPH78Cj8xS/W4QTCKT4G0nRXgZ7vH5LbdgCN7f9ep77ICrjcZrUdjZuW8feQTcOiHRuzAU/93ehDwauE9x27OrYSSSS+9mledj+Jl1+0i9cDxPLY+ZnAN+2KVPku86rse1XNEFwJ3i8k+PYn+fv7puDvgB05KcvAh8z3X3E7v5wbn7TMz7R+J6aS/5exm4z2uTQ4du4L6k5cFaA3xyPZnGfRPfhwcuq5gFQA4RffxzCPvsxJNf2sDjK2OMcqJIZLRpS084cJXiJ3l+t0iUpPqj4C1wm07yv4O38f61ezGAQ5DhZmP6ARujcV4SNNhnBDy5qmdsADvvMD0RC/yLyG3L5zEk6opsie0EvvKrU/ulWJyHuRdk+YQYvr/STvdAHJ7XV8+/tAROxF5pWh+Pc8i7nSp3gUfJVer0Y6+dO/hkAPjSUf6W7AQStS97slZcGNyHr/HHfBJJ9Jc2dXQAHnZz64hWEt5f8k3yHwPXUx2+wJVMonPm96do4Lty89n6sI/2a0jIiYC8WpXy8OkdEn3WVjnkBlxbMU3zYgqul0j/U7nAO/qKRjVTcT7P4zs3Ddzy9kgkZxqJDEvZzimJgrzHI63Siz3k/tFT3sAfaV0ZybpLIl+3n7olwG+RVIL3PRIpC0+KzwNvbj91RDOdRAP5GlN7NjF8qn2ChTODRGXyU3n+wAdLwpt6sMvfXnCoBv7IfPv1rPt4H/lqt5ZJjOHhwSMG3pkkYlkv/UQD+Eq2B/yaD0j0QUlPJRh4e9VZet1DvEcfaH/ZCPyLh3pFD/YUnSI5FnGGa87xx2Y9wvW+ZzHuIHBX4cWz3o/xfJF49OM6cKJiSE/zCe7zKwrRW+ABD1q2cWbh79y3OZBdguFKT8q5e7GjwqWXR4AfSMlmevqURLLX0WAUcHGj1B/e2SSaOUn+bQPunXZjWPMZnpt7fq/lkmS46FG/L5zPSSQscp7LGLiKrtOnXuwf1pqzxgJnNzL4+PQFiVazZU9/AL5ZfUfXxRx8vvxn2jduZrjWN44+rVycc9QSM0yBn5AaobjySERdVnRMAJ78OvdXH/a5LiTcBfzU4/NrnuXjHHK08jWPFMNNE2Q3XSrAf/fns9PHge937dpzoJBEj6rXLSQBV1y6YLGhiERPXxJXPwM/K7nKfwB77uCOeT5php8uCs18XkwiTY2fjhbAP4XMtfi+xO/Tt/XVHeBpZ48u6pSQqKN0gP8r8H7Ne1v/KyVRwBc2OwEZhv/o/2Q/hH2Ddl6qJXBbvl93c8rwvfrX8SYF+Owrpt7L5STKZncf/wr8Uf2s8KEKEhl4XWcS3MLw5yOt9jyVJBLfI7bmBHBP5lsvRrDXO6quSgWe+FtxMa8Kz83F9z+/Av+VWnHkSjWJzjN/7xaQZXj6a6lMvRoSmV69nmMJvMfMa5GvFt/zS1mXUoDLbMowJ7HH/zyy8yvwfUvPygrrcN+Yv0jxy4E6fZcgElhPosYo6ZsWwB/aWoUbNJBoWamN5B3gl+4szQo24r53ZVPeZ+AbjC47jGEXHHPZzicP+rDN+88vm0j07J965nHgv+8vMw55heulIWN1EvDLsytbjZtxfWncOtUFXGX74BHR13i+X1uTx72V4W0K0R3fsauFbpw2Bb7p00bz8jckWmXxYnM8cI25MyPhb/GcZf6s/xG4r0fM+WPvSNQfGX9mwzaG64tHrJJowffqz8glY+AXKcO0KeztR5svRwMfThvdWd1KoqGH6ufbgZeJ6nTeaCMROatvtW47w831vXws2vE+e2hWVR/4sRWuwtIdeP96ocB+E7ifqHzzT+ziMqwdb4G3XC2+UP8e9+EGn+trFBgezMwiFf2BRFfDgpV1ga8PE+qx/oj308tyn8KAC479jpP7hOdstsfpJuCBbElG89jThU0nV+wAOeHNH67mThLt7ety1gQ+tlKoM76LRGMz813XgJelLbt7qptE/M7Vu2uAB3tkOit8JpGVzuZb/4DvtF2xewm7edL27r2KDJ/XE2Nv+UKirw79G/2Ab/lvcejOV3yfSxW1S4Fb37ldebqHREJ3tzr/An6ysi9FpRffB8GOq8pKDFc4Oeq/oo9ET9QFb5wHzm6beeo99nMbuCLzgNs84DmS3k+itnu5/pPAP63Zr+o2QCKzHwun5JVB3/YWlt07SKLidbP7XIA3Nr8QWTOE5zLrHbYs4OkjP3i6sesRE+8I4MeeDW94NIzfp2DmmoQKwzOWh27wGiGRrl/WFjvgZ990cmuMkohbl+vVPeD9xEchToJEitJyZr3ATfdcke7DziOx8IV/J/hu2R9VnpH4XA5eMT4O/BX/x4O+FJ4L6aWV8cAjzl62PkiTqHVXtuAH4INh7y5yj5GoUtDUnXMXOHf9+rgR7F7HS4qOAN/68GRR/jcSCfz+NBkBPNMj/fPVcRKNs+QINQPPSApmMvhOogNxWmjlboafX1ojLzRBooysxKMawOMjd5z4hv3m0SyrK8CLxeajSidx/snwtagA/uqpTWPYDxItpLEf/gN8ZLXDkukUiXYcs9mmogrm7OZV+ySmSeTQ5c1yHvgnQiNgGnveVqMPOcAXFPjra2bwd3b+ETMOvH0igu3WLJ6ncaYHZPaAOloRZ2b1E+81Vde+OwD3t1B6LDuH62vmQvh94BbdZ+b/YJ/ar8jTD/ybg4pR8y8SPX9Zliywl+HoW3x2wm8S+dit5TwOPMYwfLXDHzwfDeV844CfCGB3UZzHfou3ux24rtWmdqYF/P7yH2TW7mP43s7GXe3Ya3dbuesCN3j/+8HdRbzv1L58EgK8XbV049m/OA98HP5UC1znz8rwPf9IxHRtaO4vcLdfvf9WL5Fo/6dCNlU1kPNF1C91Yz83YLnRG3iLheyvR8soFJ7XzZkP/EbcXZ8LTBS6YybHNAF8zcukv5rLKdQ5aDYqgxjO9Zw3dD0zhcJOnqh0AJ5pK7R+EPvGAdXrGcB/Vj/MyFlBoQXP2YO9wC8W5CoFrKRQr1TEIq86w99K7Xurt4pC7hx/M48Cf8N6yEGAhUKhKvroNvAQjc7lY9g5cwNa3wJHtQOZJawU+i/ylhHLfvB3PU4fDFtNofKua80awHuR6w/TNRTa/+iYYgBwc75vKRJsFFrOsi6mFDjrt+FDM9i91zwbmQWO7pv+rWWnkGztVtntGgwPlUMFt9dSqH1PkoML8LSL91xPclBoSyQd+wj4ZY8LMlvXUUigRrx4ELgeaw29iP3eN513gpoMP7cl4PlbTgq1Cpt1mgEPaHrhdYeLQj1njD/GANd+a4ic11OIZ1C1qQV4s9Sptbs2UGg4husZqxb4v96O9K3aSKGm6K4QTeD8Dz8WfMJuOXnTJAD43wcKNx78h71S+b9S4PVl807nuSmUvLb9zQxw/86tOho8FGKetvLaqg3uOfVOhouXQumXB7icgfMOflg3gD2u+nhmJnCZPI0/L/goxNvySroPeIQuL+HPj+//y633eQ+AuZ9i0qknQCHj6Kh1JsBHE2deCwhSaOVZ6txN4OXbf9WMYT9gta/pFfAkM6vyUiFcL15R65brMNzjn0RpuDCFYpt69PYCP8dzpMxMhEJuDjIB3sBn4z5WbRalkK/9hcxc4DHOZU0/sQ921laMAecO/9vRsIlCRNu6NxIHGX5tOHUgVoxClJ3NW2vgK90Tp+3EKXQys7AmCfhG4XGWHRIUGniw9ul74HojyaJMkhTa4Ocaxq7L8KCie3vbsTfsfn/8APDmkEXLe5vxPZ9FwleBW+rmBLhJUUixprirFHjRbPGDfdK4vnJ3hszA519e38ouQyGX7vrN8odAnv9UM/8V+8sjJyocge/6WbMlewuFdCSWH0gHHtLOZe0rS6Gkc8X1n4FzWeXH6cpRCOn4Km84DObm7YxWXnkKTVTop+gB/2vTx0ZhdyWUfoYAd2tw0nu5lUJp3fKa1cA18vbeDt1GoYAnqiG/gTMLn+gy3U4hCZcT5Qp6DPdhatwkqUChauW40TPAk4293WexpwgNMz8AHsfqXlO/A9/zXYe4e4G/43+xMVaRQoV33ghyH2H416s7XO2UKLTC0oHHAPitHQtNCsoUKo0SWBUOfEyKRZJJBdfp4QmqBvhmc9PQduwRj/uq/wDPrxoZu7eTQiEl3yN26DN8m1GhsfsuXL9xgodcgPusrq9U202h1caufzOBJw6sk+NQpdAqlr4HPcA/tiWn9WKff+2p/p8BmDvtJ9c/30MhqzzZ9iPA83tsIi7vpVDdh9VHQ4ET31NW6u2jUJcOx7sq4Ef/rQsWUMN1IaG66xfwQ6wVK79h33M1KmmbIZj7q+5FlCEKWXuyf3cCvnrm5foIdQr1cRUppwP3er3yrvl+CvVfuO7ZDfxFcJicjAaFnhRFZHIaMZxNdG/Vb+zRVGnzQeA8iWImzZoU4tjMO3QVeOzo7m+JWhR6EfJosgT4eZZroU7aeA6KOE79AD70e05i5wHcb9ccJ6WNQZ8vvtO0SodC+tb+HTbARfe6uHRiJxW7cpKAHw5z2vDoIO579x0D24HXxEVVXdDF9VUvp8tqAs7Ftt9V+xCFjj/fskId+PVvx4X/O0yhi5dsCy4CH9o2/34E+yr198dygN+Sq4so1KPQdb6ACQJ4fH+OdvARXC/Cjr7CRxmuqFPHfFSfQjNOkfOmwDttfzeIG+Bz5Jh0uwlcYqvR9Rns1VtiuhqA/3r61rDekEJ8nReUFoFbdzkKxBpR6IpMSoiiKcPv5W+i7YwptEmN+e0Z4Nv2LpTuMMH9Sj5nxX3gFeenby4/ir8/Z/qOz8ClzVc5vMeet6zrKOcxkN/GlXHkoNBfHlMXHeDyW68Keh6j0Fd3Ae8A4NHCI4v7zSjELiZ7oQj4mSqbAa7jFDp9MOT0OPD7HD+bBrEPLm4xFDcDc5MzPTfPnEKXzYXkLID3NNikXbOg0Akfq8XbwF/Kq9w0ssS56/x4zSvgD/RErm46geeUw9tL/4DHiwt4T2E/7LywWfk4w58XSrvXWlHIIcm/2QW4znIdl2hrCrWtNbG+D/wHx4UzticptHvkMtUN3KU3z1XBBvdzlUXHdeYMzzm36MFkSyFtkfeftYGTb018O7BXlS6pXwbuPV0ckmGH569oaGo+8O+kRJzHKQqNujuOU8C5c1Mf7ren0J/ajO0iFgyf1Bcq43Kg0KUdu51NgWc3P+wYxP6+Rz4hEvjzTcrjeY64D/dcfVkLPM76zepAJwrtO6LY8gu4XLD9FuPTFHpw6ECXvCXow4nL9cWccZ7/UfbpFPD8tEyvaezvLGKak4Frpx64W3cG55aHLTltwNuTxt7EuOB5N342cuUJ8HeTo+btXCkko+dluQe4VaaCvOJZCj0fGBTxAJ5Z+d6O2Y1Cjk0vux8Bd5s4l/IBex3fr5Ae4I572boy3Smk+ytdar0Vw0+9SP/P6xzea/yKK3WAex3ebqblQaEz9bsO+gP/wl+astGTQsHfpF/lA18noTo8gv09Z7gqBbzELV++6DyFDhqa3ReyZnjZ8k1+IV4U+teU+M8YuAQV/Nb0AoX4Yw4ZhANHUr3Cm73xvGg9F1cJPLhZ+sIc9ow7bK3TwB9+dGxtuojfZ73gotRJ8PujCVsSfSj082imsBXwXUbF150uUehxwH3lGOAcHxu/7fTFueU5//5XwIOIekNWP7xfLLHvXwR+JCanpBv7zRhfZQUbhhsNholnXaaQXbC9sCPwF72Hoy/5U0h65u3CHeC50fNMhwIoxPo3r6UN+BeW2Av8VyikVsMTt8IW1N2hjeNj2Pks/+nvBl7l4O9QfhU/Z9zx31ng1061DEZewzkk2vj+fegGzLYnAvE9PFOn2gX8gLLwsFwQhe7HvXzFZsfwSFGh03+xF2xT1FUHvk9oabIlmELKFirVXsCv7qz3vRuCz1exTiYL+BO/06zuofi+fe4K7wW+f+57EgrD+6arTw/XKYazFhrLcYZT6MOahxIHgH+vja8bwO7y0drWFziPfLFl3nXs1KOYF8D7lhf8uhaB+5hjQMkQ8DbDyATjSHyOZ4n33Pagz0io7RK/gfu80MDgIeCnbrzpmcG+lOA6GgBcLGFbcMNNnDN/3+jNB77f0HVrfBTOCXYabwjgRq+vfHW4RaGEnzez+R0Yvp7TOVLlNoU62s9d0wfupyilxhJNodqN44cDgb/UKJ3pwv5wcBlbMXCxI8LPnsRQ6KNZbhUNXM/O1OlSLIWKEhcchRwZvhBtJXkojkKva4eZjYBvHlcm+OMplDXnHB8M/PfV3qxv2JeO3RIoAd5uY3KuIoFCt5lNE74B35+asPtmIoUUhCpWijgxnFPr0UrrJFy/DY3OxsCVna993JpMIW+B83UhwPsFpR4tYd+l0biuFLjruQTf9js4P1hUGo0DP3eh1SgjBc/T4BPhIqcZXrCvVdYzFT9/OLPAGLj81zhWzTQK2STGfQgBzmazidpwl0Jb67ZRJcDz+jzfjGC/FOI99Q14rnN4TtE9Cv1efmZS2Bl8nw22iaHp+H6eYBsyAr72x8I1swxcXwWWr4OBx3Idd5e+j899y4mHL4E3RHqd/IM9ZXit9xhwRU9D4zeZOLcv89wjdIbhWd1jOikPcP7MvP7TAPimDxrqrg8pFDRh+iAQ+KsLZnv2PaJQ+IpunSLg/z5K7eZ4jHMgC9cACdxiZcHufux5/MvP8rswPF3g997cJ3hPOflsQg94i9ycxrUsChnMczpcAb5W/9lh46cU8mRXaM8DXhfHZyaeTSGt0rXbR4AHcO9zmMX+UvxJMLcrw1fT/3k3PqNQqxtT60HgVmKZ1xOe4/tcyc/uB/xB9/A9pxc4byv+VHsOXF2sq2RXDp7jM9GO/cAb/rv8cXUu7m+bpgO5zjJ89nXH9Bfs5f3ccZrAX5t2bXiWh/uAMdOdC8DPtUfu9M/H/fNuftxj4NpGE1b6BXgvGJUN/gy8Z/JvqEghhbj03E6zuYEcXl+a/wO76pzv/n3Ao0ZFB2uL8P1hMVnnDvyt6471scV4z3rwqyMd+BrP79r2Lym0csr5+nvgX9caXVYuwc6VrbzCneHLzE8UrSqlEC1d0akM3N2VY6oLO6vVXVcn4Ia2jtuyyijU3GH8Kwn4guGpc77lFMrO/uL9BjiT6YrCwxUU0ly389sCcJGwg/OClRTaucn5qPw5hh9k2qY5gV17lWe+NfAHvcVR1VV4ng4br7wNPEKlv+d2NYVYetmP1AIP3PxY3q4G5yXejOvTwPWa115TrMW/L+csF/dgeLfK+q4VdTgH0icGjwI/eLNgWyd21tehiyHAfxA/Ih7X4z3oyi32l8AtT76mfBooxKvgw0UBV1+/V/dQI4VsV2iw8Xky/IbAwWcCTbhOhSf+6AK3Thzn+o5d8qF/ry9wtvvSvlWvKDRROVWUDXzD8YWRW804D0cdDuoBvq3zlLHtawqJ77uhvfY8+L9229bteEMhi8nCxX3AL92dVlrxFvfht01P3IBzivM8/YSd+Ved7j3gN0daNj1+R6HipKf9bcAzl3Gn+rTgvNcZcGaZF8N3xk/wHmql0IYu9bHtwO1qjiUJtFHoQs2UtS1wl/Qj/N+xq5XGNEcDbzd5f7eqHe+JpIRUHXC1P8OStzsoZHY+y3caeFLOtRzb9/j31zbVi10AOST+6R7FDxSqVI1aZgI85K3VmxUfcR9r+LEjCHin+x3LTuzrDhyyKAAeef/k5ONPFEokUryHgfsHPQu51EkhiRYibIM3wyt2XBU+3EWhEVG5KE3gYe2fSwW7KcS9+uz188CN/UvMJrBzPH96KRN4tbnA7+rPuP8oEdYfgD8IZUqJ/oLrvUl0N/NFcH8kz6if+or35QhLVkXgW48dpZR6KDT5OPGdHXDfPdUxq3opZK/TGRID/OZcFurGrnCbV6kO+K6sDZNZfXi+Pz3ZNQXc78JCul8/3oMqn7lv8mH4LX8b0yMDFKqZWvbXEHj38H52kUE8B92trlwFPvHmbuMP7K7W9XM5wNNMva/VDVFIilQ81Q+8/9ErFDeM9xGF3AaOSwwfHYxe5jiC57vjbgE14OxbPtbvHKXQjxftjmeB0/dvXl9NUOjIjouPU4HvO1dp9BV7Dt/W3rfAlxXbCT4ncR67OceyAPx40mU6gKKQ9csOqS2+DL+7Z02pIY33vuqavebArRvWRIqNUcirteFAOHBjM/+Ts9h71vZrvwTuwmer0vSNQnGPOFUJ4K+3Fa1LGsffudZC/D8/hldV+3xz/o77ZHgVkxbwdxNPX++ZoNBpiX2fPIE/GTr0dO0khSKrutIygO+pNbvZj93r6i3LduApue2eeT9wvo114FgC/l9XoUXQFM5LmyyL5S+D3GvJrG06TaHDRz1MTgD3OFWuIDWD+6Fp1mgE8D7uHtE/2DfqrzhbCtw/1X7921kKzZ0OokngUQJHV6X9xPO0TcqS25/hQeVZi25zOCc8m67VAr7igf1P9V94fsmMCp0HTiwG/Vj/m0Lq55a5ZwDfOrFqYgR7YbZ2URtwvvTx78V/8L1aWfzjL3CuPUo/wudxH84y3iQXAHIp2TNrsYDrpUZQxwJ4U+vogtwi7qsX/rMLB27Ep79yCfujmX2excCv/tjI1fEX9x+HxIsjwAv9d4tk/qNQ76yY5/orYG6OlW27sITnSMugrTrwZzZJGjrLaHSS/9MBN+DSazrM+JhoxLLqn2gqcGEue/dv2B+XW/14DXzknuH1yuU0snT8WfgLOPNg/MNbzDQ6ptDkJnkVzIulHQ22K2j0WadDyAS4s6TUqOJKGql84qm7CvxlgAfrqlU0+rQixfIF8HMqXFu7sSssPzH2FTiXz8pjT1lo9P63pdvqaww/5H7k6mVW/D4bU0kV4Is61DP91TRyuyp0zB743q2fvoquodGX04Ol0fA5+hvWzmB3/0Otrwae8jFDvZGNRpzWyrbjwDu/X/FOZKfRy7pXD/gCGd7a9OyF81r8HJOM3gPAb92Qovdw0Mhobz2bF/AjrpOSHOtoFJW1dVsGcM9YZocB7HavRnRagd/ZdupRPieNxOsI0wX4fLe1Y8FcNFJsUjaXDmK4fgDTdrP1NFq57IORKfDlN9V8ZDbQSCK1GgUCX/O6vm4Bu/SrRbEc4LM2t9e1bqRRxfPIha/ArwZlWqf/R6N7l8++Zg0Gff7kYo4nN41SbTJvKAN3k7jDrM1Do/jQrdp2wDWYLpvz8NLIX4BzJgr4PcmMPBq7mZ5uQjlwlVpW9go+Gu068HUrBfwbc/7pKH4a6aq8qtgYwvAPQqmvbARoVKvLob4fuBJqklYUpNG353klZ4EHJW27sVIIf+fb+ZvvAHey6Jrqwv5JaH1EE/DSogrzp8I0CgzuGJoGHvC1r/6yCI3Kpqa2i4QyfHJx73YDURqJxnp5HQbuc7jz7qZNNLJPsHh+EXjO76x1s9j1ZR5+zQRuq/IysEmMRoWXTJfagIeq/P2VJE4jvyJX3kXgh2X93F0kaJS+ZnyzdBiYpzrb6X2SNJJ5/HHLUeAmFQIOnJtppFwqJXEVeH/l3uEh7BNuxPpnwNMCYk4VSdEobo7rVxfwxwqCRJg0jS4GZLczh4P7uebzGQsZGs0qFd7bBpxzb/OU3BYaXTsob28J/M485buE/R7JIxwGvOWS6qr3sjQaUr/Qkg+86Ht57AM5Gk0GHvDsAx4X4Sp+UZ5Gl3tusK+5zvDPwYeLdLfSyPCybqoycEmu47qC22ikFe2/yRa4jn10/wT2/Ye2pN4AjgrmLtZup5FmpyF7CXA1xbD1cQo0Mraf9hgG/ohPI8dxB41uiHO2cEQwnCV1s/5uRXxPNLOFVIGL/1CcZFOi0cHphlMOwMcOO8f0YT9mY33vNvAro40785Rp9KTCp70cuOLMwf4gFRrlqPz3iwAemj0Vfmwnrou/ShvWRzJcTrtaSWYXjX7s/yyxDzjLr9yhBex2O5jlTgOX/N0Y07qbRtP/CqRjgb+58lcrQ5VGjl3j/FXAnRuP/Tm/h0bR314sp4HfX9aRc2AvjSxcFvo33GD4QWeX03z7aFQc+iFfDbjFTknxcezPzu7ycwa+NvNvf5Ua7ieGsrvjgFeNzNyNRjT6av18vAo4szKLjb06jc69ro6ngSe/UxHfuR//vzWnlDbeZPj5kWvUag0asXrdaVYDnltE5vRgb93oYOwM/MElp0s5mjSS/9DQEQv8rfMy7UAtGuX1lx2oAt5dnbfeVJtGP88czKOAZxX5DkkdoNH9h25cG6IYbhBiUTiP3admq9M+4KzOhuEtOjRC49fznYBrplhapx/Ec9z82kw08HvH/FTO6+L3VOXeUgF87NMLzgOHaLSnSvcYAVz86M9x3sN4bvII+XDeYrgXu/7bb9jfXoi+pQpcTbUku0qPRglsT1LtgbPxKUZFH6FR/mq7e1HAk0cqPe31aXQ2oyaxBPj7bjPznQa4b69oDBmCrrBMY40hrt9T55zZbzN8WLZYrhf7kR/1GirArzFf4ss1wufVU8NlA9zkpw5rkDHuzxanO68DV1IT+2NqgufjnfLbBcDlBFjGpY/SKLGtXL0XuOfrnwML2Ou3nCFWRYP5GPq9q9WURgJ9r65tB15y63t7xjEaxQp0rrcAvkH851svMxqJ/ZeQHAT8YgDza53jOOcssnI/B75qgKeZ3xyf74rt4Z3AuUMVXn/Hfugk+48l4DI5Bu9qLGjkonbviEwMw6eTPTpiLWkU+ZFONwZuEpLQ7XiCRiuOfqf9gJ/IrRzcbUUj7cmn0g+BH7EgxtmtadTcLW7VCjyhbt18P3ZBTfOwX8A/Su9eXXCSRt02eo9FYxne9c6WP9SGRln2/yp0gSdPhMub2+LzvXau2RP4gdbnGnJ2NIqgM1+nAN/zrM18Cfue9uSaBuD/mr97vj9Fo8OnTZ5/B37EgSXqoT2u05GOW9xxIEfVCWT7OOC68+E+jYAbiW55c9gRz+tjYiqngTvUKnwTdqLR7fy5P7eBVxAKHNPY91fHFZQC/9Mho9h4mkYcuX/thoD/aOC1SHKmkV7JDla2eIZnMP0LdDlDIxs25UxF4Gpvup+rudCoumel0gngErZPvnC50mj85KOyYOCjrK6rR7H7NvPsfA5cdYW4aslZGq0+ZJn1Cfj6hHeukW44t/B6cv0DHsJ0OsPaHfdJJyv3zQkgV1yf7VI4h/2McL0+8ERPD86VHjifmBazXwR+dKn3UDf2kyc2690DTp/fHZbtifthgfu1V8BtNgY1BpynEdOt2GeTwEmJspXGXjRKEott4Ulk+CDdqyN5AZ/LffcRBLz/8ffI39jFNbdMOQFPz6Q63nrTKGVXw8wt4JxirXz3LuLv8FJt/CXwI6fTTnn64PecufOlHz6n3DRH+xKN1ol9qWJJArnUdm6R15dGvBf/Jm0DnnYvQG8cu5HUKmcz4A3l39Oq/fDcdPq59QrwfwsaUzGXaUS5vBt7BNz/kf8BR3+81zjfSG0FnsmUlrY7gEZ34lW05oAvmaTPsV+hkavEu0GhZIYbj4QaDWDnO6x/QRt4yB+DFwVX8V6gVvXPFXjxl3n2sGs0Wq4kFBAHXL4t9KxFIL63Nq4z5cBPCc+0yQfRqP/3M+th4IvrkBJTMM4DOwaq19xhePs35zsfsUtrsvDsAN77x3P5kxAahZ8UtzcHfjzQ3NUvFO8XlcqPrwK/2yLYrR9Go+xoNPAY+B6JCm2xcBqdWK+xrg34RKtK0U/sPV5qSnPA73Hf2Pz6Oo0aJ5QNhFIYbq9VnpwagfeUIhkbLeBhGfUc5yJxPlzid3IB7nPxQYjmDZzTmNjsY4D3rLP6x32TRkXT88dKgV8rHPcZw97CMo4GgDvlGP+sjKLR5ov9wiypDC89FHU++haN6rw7Z+SBf2i/O2N/m0a5e99XHQW+90bQhV3R+N4ufbjiBzz71Z4/bDG4rmd7VO4DZ25tCujH/tloYrgZuNmY+KqCWDwX9FeHTQInnYxvhcbRSG7TNlHuNIZvijHit4jHc2rJJmcv8PuFoo/lE2j0SyRd6RRwBYFqZaZEGh0t/Z5zHXgzl1zTR+zrlh/elAs8csTx+JMkGjVtLw3vBN7a7zbul4z36Mu7iUXgXIaagQZ3aDTK37Jb/C74fwOH+cRTaNSheSFIF3hgnX7BHPYKecV6d+Dx1sH6b1Lxua9j/RMP3Dsz6FtaGo12iP6UqAAe0Xc4wuMuzr0JCweGgDtY9WzRvkcj9qeCJ1nvMfzVWaUW3nT83aLNz24FnmZl4jGOfSaowOMo8BV+u3hqMmjUVyLr6gtcZ+NwVex9Grk71Z9IB95z0fi0UyaNFpv8NJuAO82GbNjzAO9rHMdEx4GXd1+u4XiI90dvkxmudJB7z6u4D2GPUr5QsRP4t435IsWPcH8LqvCzAm7ANtlx/TGNbiVuUQgCHvFoPMTqCY26smp6ngA3UXm6RyGLRiNTVwJagd9cIzWz4imNvB47c88CP3je7lk3dsvlVx7wZTC8tsbS6Vk2jbxVa6URcHvN9RJXn9HoaZhCpj3w14dDhkye4zy/qWNDBPDiLYX3pV7g/2t/hm8OcAGFu/YL2L8JZXZ9BC6UqyHdloNz9WTXlnngK/+kf7+fi/vepLqXyH3wfaxKCr3zaLT3aH+BFvAHW8P9D+Xj/dSskHYG3l217qBwAc4J22v/uwV8/KT+xmnsNC/LrkLgXPaaQ42FNFI/GGb4Gfh9oYm85CKcw39pnPwHXKb/SNDZYrzvW++xF89kuNWC7bH9L/E+WOxx8iBw0UYZ2f9KcE7eRRqeBR586wETjb1DIG1XDPBXzzs+V5TS6OKdOO6XwI3O5xbcLqNR73jr2FfglYrqt+zLcd8+fKRo2QNQ7xpXXXdV4Hn0g9NbEvjFWffD7JU0stogIH8I+IdUDrkB7J+/u35xA65w25KjsArftxKWgFjgq8SPTYdV4/n4fJynBPifrL9dljW4760UetIDvOeSUfW2Wryn/E7eyvSQ4c9IwyfMdXi+1NpnSwJPPLgQ04XdPjlA+BDwmSmDK9n1NFpbSoW5AT+wW//slQacuywekDHANb1+njBppJFicf6+l8Abf2vpSzXhfW3VfxFfgX8R3Lt/AfvukHfvloCXq3xRbntFozMuX1ZKPAJ9OFVYLrOZRj+mkfJB4AkPWSUuvqZRmOk/C1fgQ48ThQ6/odHcO+6Lt+Hv59/wirzF/Tw24nohfP5sxn8z2IsGLWK6gVd+F9j46h2NOqfDoxeBj+zdtTGlhUbOy7jDRB8z/PPuuf/cW3Ee1mI+rwXcaa8pn2Yb3l/+GJmeBh6YelSYp51GbseZt94Afjh/RuIb9rRU3r85wDd0KshXd9CIXIqp+wDcxIZjZ+x73A8rzgf8Ap6fFa7h9IFGY+wV2wWegD7Alm6w5yONzGXPflYDfrjXxHrdJxodNA73sQOecynTbRi7QgUHRyjwyN1RV1924nybyXQnC7i994a4yC4a/adpJ9gCfOz6jqyT3TTS+KQQ/wP4QstYteJnGr2L81ixMYvhGal7ulm+4L2+QuzMTuCchhLTX7GToQeaLIBnazxYm/uVRmzb+ngDgC9vK9sS3EOj8skx2wzgbw2cdI/34rpmdstoAD4lkuUs10cjp0enu0jgQXeuRC7rx/vF+h5mtqegz/OPvfiI/X3g681bgXMvkh+eDOD5uGOHuhFw3js+85cHafTYisfQC3iEYYqY0RCuRzXfY4nALf0M9CSHaXSM84RJGfCH3nEX/2B/xVF1oBf4i7vOD1pGaLThQsb2ZdlgPhq0vs8Yxf0kgIVLHPhvona5N4HvueMUqQ08vUZT6RBJI+RsU3Qa+JfdJk7CFI2sa00vRQJvzplMmcbe+vS94gvgJVd43zfRNJK17R5pBy7O0rI6ZQz3E9HTN2aA52aya7p/o1GAeNAW7mcM31bQ6a85TqPpR1uqdwFPi91SxvOdRseJk4csgUtksvz+hj1KSOKdP3A+9bM7ayZodCXcRysd+EKzhU/cJI02nbIuqAN+IbWt7PQPPC/oTt5R4LZ8b//tncK5wmzYi+U5w2vu6mlxTdMokA5+JQO8IdIkchS779cKTj3g9aj/Q+kMjZ443zB0A67DPykUNUsj3fbZ0NvAl3wDne1+4vtz+FdBPvDXtUnFKnN4H+SN/x8T9h3P5dfGATx7FippyCiRVZGSUYeIzLJDCfVDVEjKyMhIRjIjkYwiIbNQRhQpKaGMZIbugQaR9Zznr65/36/79XXf51znOp/L5w7gBYZyLFx/vqNl9/c/ZoAPXNUz68fenJjDuKHwn9c/G31QOvsd0bVCnCrA+44z/g2b+45+y+xlPwF89FWa4fG/ODdumFzwh79jUZG9ax7v1wvd8XvAfT2MFpgXvqNdp3Tf1APX93Ey68b+WWkycwR40ruFxwWLOC8FKV9gfQzyRutK7qCl78jDR3bfduBsAylnzJfxfGHT/FsH+Fv7rNdSKwik78yT6wJct1Jcchm77JcVxjeA1x8Si2xnINCDqbs/C4GnON+ZyGEk0LMRIvwDcLuISJMrTAQKmP4m8BN4L9vvyqPMBOK0jU1dUwTe/1CH6DYWAoXbTQjsAZ6XIx05h11WcSncHLhpzNz0O1YC7RGq/3kZuPmp/faZbAQiTFSMbwPXCJl5f4mdQNn8LrlVwPvMxZAeB4Ea7hlP9wJfhRofC3MSqEz+175F4JP3ekV/Y59iN/QQKv7nNQOnEl9zEWjW9nQ2Ak7b23CmcRPouJdiiy1w7qg3ge4rCVQe9Zq4CnykLmf20CoCPepdvyIL+EmHafeNPASiMiW5XwJPHCyhJrAriCys+gb8TVK/UwMvgXRjY9lZS/65y4TPaBIfgRgVyFlx4Gv0Qv47u5pA+7Q4B7SBB62Z/6a2hkCfWKaqnYDnFHx15F9LoNaitLhw4OkBO8jv2EVD19rkAX84+d21hp9AXXVmIm+B7znNOxO3jkDsmfbdJPBejQw/RwECtTuohnOXgrqavsOqup5ApwxGdsoCL+9fjuHdgPcl3vqdAfCpMy2C37BXeWXZnQduOr8ir3IjgXiVq6lo4EfnU/dFbyKQ1rq884+BB7Slv7YXJFC9nsvYe+CZ39itFDfjv7ue0WIKeE76Z4pLiEA6z12rectAPTtyXR3AfvRi+UY54OP3s9aVCxMoIaDjvBHw9vr0gnARAhUKtla6A2eQWD5kI0ogzYis+Vjge1Re9MtvIRAzm7lCCXBrp28+bFvx+W0bPfUReISAi8AX7D+2W0T8BM5UYlReJEagUr3cnNXl/1whI9k0dBuBmr16n8kDLzZE05biBOKf/NFoDFxZ7FDSDgkCXaep1xeAV0U+VGbaTiCR0ncv4oBrT7r0f8b+1T+xuAS4SGVkaL4kgT7ePJT8EXi+CbvsVSkCbdjW7/kTeKDkYKeZNIF6/E7prn4C1uE+f6CUDIHUu9v55YFvlb8vvYw98pJclxFwQvlmV7ssgRYT/GLdgU9ItV/L3UGgcY9K9Vjgcefc9vrtxH3GeHS8CLjTeYcxo10ESnZjCfsAXOp22W1xOXx+V64XnAL+3NLKYB77D0fhXJ6n/1xW0ILxgzyBTOoEpXcCL9PPq8jeTSDSjO++IfByCxM3bwX8vNMS/3nglQ+NJA33EGiH4je/G8C9H2cPb9lLIEnGpi/5wNs79dL/YF/BcV++BfjHcK3jLYoE8ogMDCCBP9yXsDFjH4FMm60aOCv++ZMjCj2eSgTyYtyzJAk8QFX8jq4yPl+XeHfpwOfPnjkhrIL7icPEMSfgioaLIr+xX+f94BUGnOnI4LfXqgRaKH9y8wFwvb61+Wn7CRR2KyvtFXBHxySPCwcIdOBnUuYI8C5rJ1VtRKBDHIl3mSr/uY5kGKugGr4vNqXGbgF+88CvtinsE2cKfdWB53Hm332lTiBWhXfHbYHXLhSdTTlIIOOqOYUA4FtDGFRdNQgktn8P813gR3jTuDU1CdS3EPjmOXCCN/jr+kMEGlb6GtYLf3+6pJjGnqtgqPoXePMOmWv1WgTKkf04tr7qn2+XmbBO0iaQw38uEYrAJWxm5c8exvsruEnMHLjSHl0udR0CucQPlV0EviA6PMKvi+uWs0E1Hvi+xPpaAntxQ/WzYuBflsfu1OoRyHGpXe4DcMZ2Y+8EfQK9n2dNnwBOBzAeO2OA+/mCBdPKZ/+c02tG8YAhgebVX9tIA6dldmxYcwS/P7dlsQ5wM96H82PYudO45h2BSyU49D8/SqCnCoMq14D7Szm8jDUi0IW1vR7ZwCMP5eQ5GBPosN/fzHrgpRaScSomuH6K1JoHgIe0kz68prgOJwpHl4CXS0+c/oZdzltrXvD5P9/SvvNolRl+/1h2NhXgn1SLVG+aEyjEa4bDEvhy73mp0xa4z7vyMV8GPrvVZYPSMQJJVFhNJwDXup7NscqSQMfi2/tKgCdc2Tg/hD3toF/1B+BPLrbQT60IZMVmmTABPG+kcjDKGtf5Vid77up/nqw29MnuOIE2fn4kIQX8/YLmu70nCCT837YRbeCvbwy+5LIh0L1Vn5L+Ay7m9LR6ALsyf+3BYOCFKxqflp8k0I2qwZF7wK1buEsjbAmkrYb8a4BrqEU+PmlHIMHxrlVfgBe0qRUo2BPo3a/Ht+aAs83I5HOcItCW+6/4BWpAzt9yJP8rdmr/pigF4JytDwpKT+N8u6Jkzgi41bndRdf/I9BJ2UgbV+Djl36XnnDAuYgttyoKOGH7vULekUDubRyr8oC/yuCrZXMi0PaW4mNNwFcUnW38gp1bOSNlBPhRxr+txWdwfj7R3c5QC/oVT2XXNWcC5V+2ZhYG3mD4cNjahUAFb7fLqALnV3wzuessgU7fOahnCbwPbVpkOUcgDsk8u0vAkwbucPVi//rE1jUe+PcYvU1F53GdhzleLAKe+VpSJtQV1+GXWrd3wJ8u7zlg5Ybzz6zzaQK4bqGr0U53AmUIOR9hqwP5U//Tf8wXCHQ3pkZODPh2kzO+3dhFY89wqQO/orw9rtAD/7792S8ngB/3XZ0XfBHnDe3X2T7Ai6IlGo55EmhrsP/pJODhtEOf7CUCIYuYTWXAt/B9mGW8TKAPrMvNH4D3XLDn78J+reOtKw18f9Tm3QVeuD6ZZrk5X/zzv59WGAd54/XpDMkQB062cF2w8CEQU7SHrAZw/vH98TK+BPrj+qroJPB7mbfKGa4QaFWNr/QV4F8v8Xd/wr77WVJaMnDd/srFR34EMs/byFYO/Jp58Nar/rg+W1mc2oBbW7jrmgfge9nZqo4GXnM8+IJ0IIGyXmzg5awH532w4s6KqzinrTtkIQ78uR1fYyd23YK+xIPAGY9F/cgLwnnv9chbG+CyapJCgcEEupxnPecDfDZxTM8shEB3kjSEkoBrdjb6SIUSqOljmnIpcEGfxrxl7FrpLobvgReuGO3tuEagM2qFliTwY9/EVuWFESh6zuE4WwOo/+wg9YDrOA+vSjLfClzg2ZKnaTiB3F6gwwj4g/vJjyQjCLTGwl7OGvj+wSNDS9ivrF6x+jLwRWLrxo5IvF+KG4k44DJqa00eRhHoNXtJZSFwFRuRG/43CNT55nXgG+B19dqvTaLxvVl3Eo0C9yHDmSVv4lyxw2ua4eU/NzAfVV/Crn5sTdZm4DpXjwe2x+A6D5Q/rAQ8kyBrc2MJZEZ9GjEF/oQ3YYV/HN6XrwzebsDZL5geNIknkPedMuYo4Jo3ZEK3J+B502EqLAe4yuCm5kXsfiFPGBuAk5ToqvZEnDP3sXt+BX5x5wHT3FsEetI4+nUOuNB2tzt+STiHe5io8b/65zbmT4eNkwm0fPXI7V3AXyutkd1+m0Diil++6wEXNA6+vIj95ae/co7ADwqzNXxMIdBcdr57EHBt0bs8uXfw/PjtZ24acNsu7RN+qQT60tf6uQL495dM+cZp+Hc+qC+1A3d0bJuXuEugcCYDwUngwWpF+ovYeyp/yHE2/nPetvS7H9Nx7t0nh7YBZ09J/5Fzj0BrG7g11YBfF3x8yC+DQC/uhqpZA+/pfpdinIlzHU+awiXgLibzUxJZBDpuZSoSC/wjp+LhRez7G/KZ8oE3Xw289zGbQL3ROV8bge9R/jyXc59AjQxaxYPARZ8om/o9wPOybbjvAvDqy3mPjXMINDJ5Yb9A0z+3ZxDn3p5LIJvfTH/kgEd35p9ZxF5csj9XHzhx6cDrjw8JFO8qauQIHDn1SOTm4fdxLfpxFXioTOB1v0cE4pklw1OBd2jtJIzzCaRh0LnhKfBzymP62wsItKfsXEYb8OqInKJF7K/dn4hQwPWeufK3F+LvelOUxPr6n3ceQb65j/F5YbZhFQUu18I/5FdEoKBTtWdVgDuW/dQxKcbzkcynN2bA06M6S7aX4Nx+P0vEDbhEd7XgEna3NZLnI4BfEXoU1l5KoFtVjqXZwPcOpv7KLSNQ4IDtVA3wzQ/ibP3LCWT5hn9bN/CNPyNbTZ4QyLA6zOgXcKR7fb/kUwKlLj31XNn8z1/uDitYwh7QnhMrAZxd4bpQRwWBDl49dl8deMyHiJiHlQTaa/C2yBo4281opoAqvO9XGMo8gaPpuMumz3AfNlsovAl8V3gSJfkc7/um6oyHwGc/3LFfxq607lBUA/CvxundHdW4f4Ynnu8Drp+YYZRXg+vh+ePDf4C3C2W+Cagl0MDPhI18b8C9dumeplkdgfQ8tEakgO/dklor9QLfg8Gv7msC//0wQWVFPYHGHdectAEemxBe0Ynd1lGO1wu4zRmfvY8aCLSzSaQyFnj7Y4fywJcEYn83ZPkIePSkwR7zVzg31nj9fAn8aNHOJ9KNuF8NDgd9Bc7sw7WPoYlATle2cc0Cr+wYqPqEfWvHgUi+t+AePPz4QP5rAn3fIcckDVzc5lLD1WYCpX9cvKAJvDJtj47FG/z+LA96TgDniKHey7wlUCS3tPJl4N+qUywYW/C+74iOjQF+oAgNfMaeXvxh4CHwnVM9Zwre4XXr/SXRAHyW9ezvoFYCMf+cdfgCfMnvZ8Cx93juVhlMmwb+7us57h0f/j/nFrSsagE5rbTvNlMbnqMDbX9JAC8MUd/ejX2E7S+fOvBbfclPCz8SiK3Xd7sVcFp7WDukHdet2theD+BLBiLdlh0EMvDbvz8K+B6fIy47OwnE2B2gch+4pIXbEvMnAoXefixXAzzWNSiuB/tellbhz8ANDEMlij7j+dT+C8sUcDt/r+rQLgI9+tM7zP4O5NgIa1Prbvw+XK2VosAdlmWpXT0E6hguDVMGvslxMoS1l0C1TdEGJsCfGKQLfcF+a/Ek11ng0wf2VxZ/wfX/dvuLEOAvGl+bhvUR6Ig3cT4NuLi7+o/jX/Fco/9g7RPgJm8eRMv3E+h95ImSVuD3bGZl2AfwHOrPd3gMeETVnpY+7FbODZ3LwIudbc6WDhKIuHXRen3rP++fd18ZPoTPka549y7gC39dH9sM45zZ0m2oA1xo2sJYYQTnBPuY53bAvS9LznB8w/O1md4WH+BneEZS+rE3fOcKjAPuoRumVj6K19mxvTMPuOqT1WMRY//vY1lbG4BHD4RG244TaFTlyple4CcsBvbu/U6gT8K2Ob+A1+aKDnAReB7kONrH9f6fT9rrRAxiv3HAgEsM+JG1FnuekgQ6x2YppwrcTk93MIrCOSrv4hFT4B23tkTb0wR67Jrx31ngXqH9KvsmCGSaNuARAlztQSCxchLPoT67fVKBa11nSRnGfvXIHa8y4G+rzulWThHIx36DawtwuXcV89E/CMQyX3hiBDjLkdGC0z/xHGR7QnMBfu/7aVvlX/ic9mzbuvbDP3/VP7qW9zeBRB5z/JUGHrCqsvkb9o0SnM0awJUpl4Bn0wSyCN8eYw18D8fyntgZfI9sdjjiAbxn2p12+IPrXOolayTwooMv76vOEujnH40nmcCdA6dtVs8RqOjd6Ikq4F8Qy4Zx7Fy/ChbbgC/x/Wqv/kug2Mcpid+BT4TV3Iyfx/WgW7iNoe2fT8k76p9ZIJAnN1GwHvjZbIoDLRKIT/XIjl3AiXOGr9cu4fcX7X+gDVxENCqMwN7PdEfgJPCBI/e165ZxzpcOCbwEXDzqNvutFSTq6L8zeAP4SienNy4MJKp0Gla+D7zHk++GOiOJJlYej3oOfFo74agAE4k0Bdg+tcP3dJtaS2NPbPkmQAJ3DN7WU89Momeec0aMH/+5xurd95JZSJRqpRGyAfilovWO51lJtKXhZeEu4EI/OndospFI/Y9/mzZwX0fnPxvYSTR1wIOyAf7nQWfdJPYdQ5nLnsA3aghEvuIg0QpJHq4bwBPf7zC/w0kiD+vKVdnAlQY2bXHnIlHSi0zOZ8CX2L9OaHGTKDyrZakN+HLfxeeCK0nkoLOPHAce8Ks/4id2s/nR98vA+/qErF6vIlEQQ0/+unZw78vJSd3lweuQvTpIFnho8Lp5D14SnZWOO6IJXMeptUWHj0SZ/Zb81sDHLh5LF15N4v7j0u4O3PtA2YVp7FOTjeHXgStbDWq9XUOih1/O70sHfuNE/6aMtSSKFjjdXw78d1/Bj0v8eD2/5/i3AN/grv9afx2JTt9WWTcM/E1+VfoWARJJuIs8mAM+LT57eRZ7bYXFDt4OcF94Mhu1rsffVTFUKA5cYWe/VPYGEplW1kvsB973PYzFZyOJjjHNJZsAl1ZdGjiyiUT7+68xOgOvf65evU0Q123iudOBwB0ZjVPmsc+dL6y5BZwre4dX22YSsZfp8hUAr9j32TxHiERnCjSONwC/b6G310+YRI1ZKTgA/3OJ5Ih1JiIkau8/2jsJ/Glswp/toiTSyXPkYe0E9dzr1L2EfVRvQEUQ+INVbM87tpDIdeVzW3ngD1+cT8/bSqLHigt+h4Fz3kgPDhQj0eU1mfE2wH+z33Yy30aitO+FGReBV7yzMpQRJxEjk1huBPAWjxEFRgkSXc9lzLkH/GX8HsEu7Ou26t99AvxEowFz4XYS3XvGEN0C3D1bhg6WJNGmZ2KXhoCzNLV9spQiUbDzE/NZ4AeaVF/slCZR1+qKnas+/fNTB87ls8iQaNuiFIMY8IFX9sm92L0u8L5VAq75RzC0WJZEI8/O3DgC/ODZOxfCdpAodMu+w/8BL6jpsz2xk0Q+k1fmfYAHXR8+snsXiQgXpZwY4N2n8hGHHIkYBs/rPQD+i1Dc1Y/9Z5LQ+DPgeypCRcvlSTTdrePXBnyLQ+KayN0k0p76wTkGv/emA6udAolkxdbHLgB/1To7t3cPiX7VVPOs/vzPFWv1Jrj3kmiMY+SaBPC38zbDQ9htDaNmVIE/EZbvrlDE90LnUxtj4MaNL99H7yORyXfHWkfgGyLXNZ1Wwn3yY9p6P+APOSRqlZXx+/RYOccBb+ybfsqrgvdR715ZDvCjWUHFo9jrz7v+eQ7cdKbl0XNV/L03muU/Ap+90PEgbj+uq6nHDmPAI8qTM50OkCh7aGv8AnBvqw3pBxCJ3uSLV/B1/fPjS2apa9VIlJtc2SkOfGi/YQqBvWeyj1QB/r2c4XadOj4XCwl/jwJ3ZnJLvnWQRE2sAwwOwEMakpPPapCo07KOwRe4Z7zv7YOaJBo6oPj3JvAs3vV31h8iUcbyITIbeHzXubQJ7J3f6I5K4FPXr9x7qUUiNZVdT1uBB9VqZKdokyhfZ1XcMHDFjQ25bodJ9N0q/L9Z4FsU/xZo6ZCouSJTbmU3eM+y8VJBXRJtL7CeEQV+bVd01U/s41fLS/cCb9EhXrzWIxEVWHxGD/jI3YXmu/okEv59dL0t8OutLz9eNCCR57bE2ovAUy4f/KJrSKJBm4CT4cAFlTxHRY6QyI7gnU0DLldy/McM9hk+vfAS4MJBswstR0l0X3jnmibgJocPc2QZkcj/RE1iL3DzbL113sYkiuP/yzsF/NMeRrEjJiT6GzscwtzzzzNTXeS3mZLoveCVH+uBP/YKU5/HvnfFK3NZ4LzOZkZtZiSyuFZbpg58kbfTLsccf9fcWS5z4C0rWT38LEgUktVq5Qx8YcV4iMkx/D6t3zL9gW+P9EmStMT9p7F0OA44n0F13jL23o9Km3OAJ409rum0ItFH5H3kGfC6eaP2R9Yk2mPh4fMeeJFU1vjV4zjPnJK8Owy8kD9ryeIEiSILU6v+AJewMeLfYUMixeDW91y94H68XyDDfJJEVdJ1fcLAO2881ezB7v/zwshu4GEV508U2ZLoh+j4sDbwgqaPl67ZkSiMWfSLNXDrE8Mxx+1J9HRE6J0r8Feb7j2SP4XP78rhJ8HAD91nb2I/jc9F0/nbScCNUgWHv2L/fbLh4iPg17J6l8v+I1GJ8NDhWuDpJw5tjnTAf9eohb8duN85SxU7RxIlqwX3jgLffEnAStEJ1+1e9pS/wLM2BnivPINzacBxo1VfQN0u3bw9jL389FWGLcBjX+pUVTqTyFnOK28P8G+8+b03XXBu33VQXwf4n2tPFv87S6KFRwOjx+HvvHESUT1HIv1JUx834HcD6jVWn8f1pnmPNQS4tG6D4zj2pj8NkUnAXVqdo2pccd0av+B4BPxhUUVxghuJltNvB9YAP5aY/9nZnUSrpA2n2oDziGotqV0g0c0DA8e+AfefDdkm4EEi+21GVbPA/eqcDGjsTlKZa7n7/jmj0A/Phoskik3ucBQGLv1kc/ptT9z3qr6XygOX2THx2vUSiVi/DM0eAn5K2v7Xoct4HtF+sdcSuL6Jt5CgF4m8ta+dOwv8ut5u3Z/YiyV2pwUAb6+8eem1N74f5ZtfxQHn04zOuutDIr0ynbH7wA/E7Gi76EuilplyhkrgQZpuy7pXSBR1iIe/Bbgom8kOUT+c50lz0X7g/v6fTvzBrq0QLf4TPm/098Y7f3yOnJ+IsXwFOXxbTU1WAL7fuz9sWg98OlN0yjuQRA9avnJJA+92Fdty9Co+R9GDv/cDd9zdaCoehHOmS8+no8CbE1ivL2BfLHhTfAq4ocq3Zx+DSWSYURp6Cbhdq91UbgjODzG3jMOBx0/7bgsIxfdR08X1qcDjju22NrtGorbYI58Lgcukh8VKh5GIVNp+8wVwc3ev1wzXSRTDtUKtA/iWyywrurALG3d9HwVee2zHvsJwPAdZlkTNAQ+q+ekWEkGiuy43t3P3//PBo8Z5VpEk+q/TrVoIuGuF/siuKBK9HbTQkwP+LW1QiO0GiQ59OfRRAzh/Hq9VH3YzXlVjc+Bzod2JpdE49zarvHUCntOj8jH8Ju7DJlr7fYEfM1LksY0h0ea547k3gDvGv9XfG4v7M+tV7nvA9XRnI7jjSJTVVHqmBHi6cHXzEHb3sJnal8CFqzdwVMaTqC5Wl+cz8KyWlTo3E/D7yBdbfAcuNZsc/l8iPkdl0rfngb/7XvVG5Ra+j04/a185AHKsngf36iQSrb9hxyYCPOj1C8Nx7D0+wgrywM9yPoitSSaRgveMpSZwyefCnQm38VzQPuZlDvzy9R0bXFJIVPDpd4wTcPmNH0+o38Hz5juhTB/gxwU5swRSSVTI5JgfBXy18qdxGvvVV62P7wJPENq782UaiXJsLPKLgKt7Sl5KuYvn0I2MmfXAU74/rnZLx/uu9SGmA/h+iWYW7Xv4fMk0eI0C/9590XBzBs7zG75YzgIPLihJ+oX9lqWgAufgP2c3DBpsziSRyL5QNkHgSY7D0veySGTEsL5DFrjHg85Ll7JJJMTw6TYCvvDkWL3+fRJdC647ZgS8+NDZVVsf4JzQ0cV7CrjCMo/1HHYFNZH6i8A1YzRy3+eQKHx18tlrwF/dZ525n0ui1CR13mTgpdQxzSsP8TpvEip4CFxutXK8cR6JDIgdGs+AX2l4OLT9ET7XRz0/tgCfLciRX8YucPun1VfgWwN2B3fmk8iKL/fLJPDUEf2ORwUkWs2SZMEwBJ6P+rUtqJBEZ+vq3q4GfnurhNexxyS6c1NcSQz47LGxNzuKSNRR05y+B/ipnt1CLMUkMk55tKwFfL0594Ve7Obn3x07Bvyij1tjcQmJRMN2PToD/Pf0yU3XS/G9v+vTjA9wxcs9bjZlJNpdUasSBfxPfn+jQjmJ1p6Z8E4DvkbLdTPXE5xbbp4qLgQe/uP6xUHsct4iQ7XA3WxkWp4+JdEWd3HuNuCMqpZi0RUkknp5aecQ8HtKPH6nK/E5qlmt/wt4HavhJ+UqvC8F83bMw6DejPl38T0jUXuvvDs/cK7W0xFj2E2TKr3Fgb+RUP1W/Rzvl0ysryJwKd47agnVOLeMVl06DPyw4tVU5xr8nmv2uVgCtzCYmFWrJdH1JQ5LZ+D5jENmAnX4e6fl1HyB17IdL6WxB2sUi0QBF115nO/lCxLt3xv+NxX4tYZB15R6EvVvePauAHh9L9Xq1kAiZpXDKTXAX7H67dB+ifPeqJzte+CZ07HRm1+RCDl5Cw8AD7WUnvyFPWWlSNcU8BfDh4++acR1skUigmEE/N1DRPG9JhLxTN/csxr4OjmetZdfkyjog3XPFuBnLJ5eMmgmETdjlNdu4Nech7q3vsHzzidRXk3gVoIx+/9iRylCGabACaG6jA9v8b2ZEiz9H3A7sQusOS0kStxq/NgTOFP/fRe/dyS6HRQpcw24MoN1m0kriVSY5bJuAY/YH6so9Z5EutMaa3KAx2sdvrviA+4zma+uPAUu+D6A5TN2Vsun/U3AWSMUzxW04ff8b6NqF3ADKdfO4I/4PddOxY4D5z8lfsCqHc87pUqDs8Bvjx3P2dWB9/fmrCTHt3++12U1H1snPo+/Zc9uAP5fhpZvH/aUnb05ksBf7p/7VvoJ99tohj4l4Ky/JY0iPpPo64lMLl3gLF5dz2278PNEzW4r4JV+zJKK3SRKuHrMzBm4XGVB4soefE+5urn5AM/62s44gr2OkT00AvjJzEtuVb0kmr4mEp8CvL0i8WvMFxJl6jxLyQMe82mXgWMfnluTuu9UAdcs0n6+/yuJntRcufUGePnfbum1/XgfuR5E9AB/7zx2h8D+9I25FwH8Trkr94sBEm3SjTn5F/iBmAt+SYN43z+ZqHGOgj7zeHLi3BCu2+rMjRuBK70ZtdUcxvur5z8hCdwzwaJ94wiJXFrHnikBP/pSXesH9rXxA0E6wMN47lc2fcPz1OgZDUvgf6Svyt4dJVH9utBFJ+DJ7zszLo7hecRtd7EX8NCizHV64yQKVbtkcx34z5CxSNHvJPrUYciSDFyBKZthFru/T839HOA1g58vtxIkeu3fiJ4CF/0cNJFNkoh9p1N7I3COlOz/fCk8Z3Vl234CfnhQtc+IJtGz135j34C/PKVntn2CRMP6vx2ngYd3vX+3hN2xhGOIeQzU4UyzVuckifK1as3WAk/zVKp7NEUifot1DVuB3+IWUg76QSI+OV6p3cDFPC6XHfuJ+9KWwoiDwL/ZHtq58xeJLl/+MWIEPOlGWB7L7/+vQ+8+O+BriveLf8HuFXrumhvwI8GOmSXTJGLszn0XANz+ObNw+AyJRhujV90EHriWP/XkH5wDU0V07gKf00jesHcWz305J/0KgCszRSdxz5FocI/Bo+fAP3DO8A9jd08gPr4F7rTmQ0LlX7wOfEq/e4A3dW5aGzNPIpM5JR4CeDtnd7zDAonep0xsnQMe7cK2dv8ivtc0jsmzj//zjcUPEtYskYhGXsoCwIsTnvAT2Fu/HlEVB172fm9S3TJ+z3MDinuAJ22S2JC0gkJXlKRlNYH/kgu7c46BQmkxcoImwL1bzIU0GSkUXPeb2R74UnZixkYmCn1bd2nMDfh5T41tP7B7DT5pCADe+efkwyZmCs2cq7gdDdxmlJC9y0IhEc4rZ9KAH5kfLrnISqGnTEy784Fz/dDdp8dGIf9cw5kq4KuDhGtE2SmEtGxLm4GznLHTnMX+UkrJuQv4PVvet60cFPqS1bNxDHjlVhnj+5wUOr586NU08MPnyrp9uSi0PvLKGebvoN/O5toZc1NoLCGAbQ1wuUAOYvtKCuU6H00XBc5W13lhGbuq1dSuXcCPeKxc6FxFoavFts8PAI8xKwrN56GQbU2mugHwc1tqeIJ5KdTQ+rTOGnhe4t4USz4K3dqVoeQMfJvLhm27VlPojZxtvhfwLhuHItY1FDIWmVkfBvyLzGbVPuxbdU8HJAI/E7v/delaCu1bfNSfBfzd4SbTCH4K3QxrVSoB7s1TNWi7jkISiu9u1AFfzOB3VRSgEJPVw95W4PPPuxdWrqeQ9IHTW/uAo82skSPYc+WWT5PAcwJSNjzbQKHrQb735oArZNzKjd1IoV7/nk42AuRh9FfRaROFyi5uZlkHXGfdq6YDghSSKjm0Qwy43ciMBf9mClmEmhrJA3/icHOcxH5MVe+8GvA+q2jveiEKGWyTDjUEHuD/i/O2MIUso6cTjwM/dbMm1VWEQpmvHt1zBn5Ob3KHlijelw1H7nsBT3cLfSG4hULJnweyrgFfVx1o+gt7uqF9agLwVZMDY81bsbd0RGcC73l53/eeGIWa05V8i4BPLrTyXN6G33NdnF0N8C9mx7MNxCkU4d+v3gJcP9pASUwC9w3xrYI9wNn/y2z9i739uM3UGPBfyVan27ZTyM01rmYaOM93z785khSqza+7xkSC+ln7O8ZfikKcp4jDfMBdejokzKTxdw3wsggD3/dXoFZahkLvPfY8kwFuurvanFGWQlPOli7KwPUPvZzowm651p//MPC3kzJhj3dQ6L+a7Eoz4Mk/Z4Sv7aSQ69NWi1PA41ZuqTy+i0I9BouTbsCfryg03i1HIY4PckH+wHdGpVAc8hSyjzq3Kgq4qNvYtQHsBm3FCbeBj5xNEH26m0JK9PLaHODEwYznNxQolLDD8mYZ8OqSlcdO76HQh+Eapnrgy1e6fynvxX/XWv7Ce+C+9swxfIoUqh8u6/kCnEMsWmYc+9m32vsJ4A+CLjXX7MP905a6/Qe4I6p2SFTC/edn1hQzBe7fTfbMZ5UptPG9q/pq4OpdpzMPqlBoUtMoShg4r+IrtQ2qFLqXqdMmA/ziXFD/JPaqvVa8yvD5wTT/xv0UenskREcb+L3H/EJpB/A+qjZfMQW+KE5UeyAKCelJ5dkB38CxyUZXjUJRb3LbzgPnXJ+7JKJOIR0OrV++wGf4Y9P/YP9txsQTDlzyVada60EKyS4Pit0CzjLuOZStQaEkk2GFLOBs6u4hvpoU6spgR0XA38Y1iRsfws/vM9Gohr9zz6t5uxaFghxeqr8Bfl065Owy9kM+J5Q/w3We/c7zSZtC8fXCsiPA9zQ/LM0/TKHN0dwbfwCPsmuwCNahUIr0NoYl4FdD9i5Y6lLo1XfnIU76n7tPM2bs0qOQtUB/tQDwtsvbtdj08b3JFBwvBlz+/QOyD3v1vMUpOeCo1i+2zIBCfEdPyh4A/oKrQDHSEJ8vw5QfusDTvBS+2h2h0IAWZ5EF8NbmNaH7juK6ulbkdBr42QZdGR4jCnWfiN7kDrxIsrv9G/bzG++/9gM+Xlfj+9wYrzPXjGsEcD+D+a3xJhQiA4L4koD/iY9uOWNKobBGvYIs6Me8PNXMcD3sMNEoAr7PrkJIwJxCdSwp7c+Bx7kbvqaxi6SK2jQDnzFUvvDSgkLyauRQJ3CPGl/BO8fwfac2azcEfGfo6iZ3Swqx0Tq9E8BdnZbcD1tRKCN+0HAe+E1ZtFnYGtdbcN1ztgmQu1I6Xk9j7+MaF1sL/KJHzcWW4/h8+VqGiQD3DVgQyTpBIXHRdSMywMeCo99521BIQF9YRQl4utZFn6MncX/TuxR1CPqNAgkJWwpdOyfYZQScSVi5cxH7EsMaIRvgy3UbgjvscE6wsLZxBj6spC/3yB7nhOqZ5EvABY629V89hZ8PGn0XBFz0TW70sdMU4p2RXowGnnH+4/6d/1GozeG1+B3gRsyGNIsDhWa3VuvmwPc03pT2BfudK1xnSoHnCikblDpS6F1t2dVa4NpyeYvhThTKVq1KeAuc08il0PYMhfYf3Jz5GbjUIb+Tis44zwj3PxyGf7ezn3eVC4W2izHkTwJneR1XP4K94m5I7jzwhm+JF5+dpVDkV+d0tkmwbtPj4nHnKPRavjxmDXDxushup/MUSiROXxEGfo7bPwq54ro187WXBp6fWYvWueHnX8wdVAQ+o3v0F4VdLGBwswbwy+925jS4U4ihb/cvQ+CeP09Yp1zAeVjqZ70VcKOgHh53Dwr5PNl8wwF4yKH7L7Uv4vr58NToAvAHzDXeQp54Lmh6wesP/NR1sZ3T2N1I1TfhwMNud428vUSh1ggp/0TgP1b0pGReppDgdKRMBvD7YduNvL0odN/bvjMfePlMA9tRbwoVOT72qgBuJpBfI+5DoZBVF9e9BP6+ZMBzEfvF6uLC98Aj4uxkO3zxfddwRr0XOEvgjm95V3AfcEtrHQXepamddtUP1+caQ/OfwCvyHpkd86eQ98KVrkXgHr7Wq3YGUKjcW9qMY+qfTwWaN7EE4jzTa9WyFrhsaGrgF+xtrtwHRIAfNpZVLr1KoXNh6nnSwC+VsP8OD6LQAfd5XkXgjG47Cm2DKfTwisqFg8AtzO46KYZQaM0cY6sB8BmZY1tXhVJodI+JmCVw3xfWX0ewRwbJep4GntqXe/vZNQp57IivcwUuoY/M4sLwd4WHsvoCZ+4S4jtzHffnQRbta8D36Gu/Q+EU4r7OHxQLvMujInxdBIVOvy1/mgpcZOMFLRq72vzYWA5wG86LTC8jcS5yLFhdCvwvT01dShTOmTZs+2qAe84c8Xe/ge/NXX8smoGfCZdUPRyN7x1Z/wsdwGMSdP8K3aTQ0ey0sH7gxcMlFdPY00bMkwjgVQftL7fEUGh6/6OMaeAP/Y7tzYql0MjynQcrfvzzFNvEae84/Ly31AMu4LVP15cfjcd9ad7i3jrgp48MXZRIwHN9x7ZEUeC/fv1QWMIeaZoYIgOcdNee7kjEc8qbnPOKwAcSh8of3aIQc5iNyUHgETINl4KS8P3eVSVvALyY8buiZTLOCTw13MeA7/tmMrfzNu6HvmcG7YGLZjA9Y02h0LJLTdE54H5Ms1f6sFvsqvHxAh7UvQuV3cH34HpnFAzcY6qAITL1//NIw9IN4OX8ri/t0vB9F/e2Ihn4i3UXw/bdpZBRQ/C5LOA7XjzX5UnH+dycFiwEnj10eNUo9n2pHE0VcN0Or//4/B6uw+FulwbgIy+kbsVnUGje9yRXK3z/TYFWzpkUelx+534X8O6t64XVsyikMHBTeRg438OfwwLZOGfq7X9DA3fx5nk4gf2u1n3TWeCap86ff3WfQn9Em7sZf/5z7j08CqkP8LmWzbNcCdy0+sfchRzcJ5/qdAgAr3nDX6eTS6FYvoc6W4BzyPheE3lIIa+I5koZ4FxFogZ/sO+6kC+mCLx8G8fa1jwKBa43iVCHv3Ncrjf7EX7+XQ2hB3zXlpRM33wK8QxMHTIHflxbw9m4gELEPeKOLfChFBl5yUKct08WUM7ApSizv8vYe1yU93kCr+Csrf/0GOcu/nj/AOCSjY6RBUX4nOZX1IYDl544YhpSjHN4YP58PPAY48ubrUtwLh10lb8LfF9D36hcKYXGhZlP5wIX5Q0uYi/D+xXhHFMC/BSHo08/9nH37KfPgUsEhGs+KadQ/rbS7ka4nurEqhtPcJ6ZTpr5ANxFNLz71FMKycmbruoFXj/xX7ZyBYVqpL6LfAOu4RPoyleJ7/edx3ZMAk9J6FIex74iJnPvHPCQVedZa6vwvJbarMT0659/rlD7mPgM96XsVsWVwENOH7179jmFJOdKdgkAjx9KdcYDFtr8/bKYKPCtzOKKG2so1PhSaI00cOcUkukH9o1fchcUgD+7RH9oqsXzS4DA4AHgvs7Sd+/W4Zy56FJ3GLiM9n0Xzxd47svJSTEGfvqrlZJ+Pc7n7966HgfewaDPtrWBQoy13cgB+KFgr8457AtvP3K6we9SGMj68BLP45oVH7yBPx0LupDzikIfvSJjg4HXn7dV92/E/bDCwOAG8O47XrxmTRQyNl3BnARcVf1tv/RrCuXdyS6/B/yg3LHHjM0UavmqYp8H3OqAcEA39qZzTRxlwNlVRI4UvcF1lXw4vxr4xJyVcNhbCkU8rtNpAl5j8H7yRAvOLYxyQx+Aa3P41Sm8w/fIYIpnD/Dzy6diuVrxvZC6zDQCfBdTiP0Qdt8Q2xs08IyxL7sr3+O6Gq/h+wN8MuA8S8wHCkltEIxd8fufH0vf99mhjULuDt5cnMBVN6g83P8R9xmRrsA1wLleePqubaeQX5LSD0HgR53HDUjs1zelHxcHXjgeJ1LfgXP4AkfDTuC9PJ6/kjspZBfpK6YEPKc0utH1E4UCBKYDDwJfyOm/rfWZQro/LnfpAf9U53hucxeFaCcWaTP4Ph/F1X9jT26962UDPL5IkP9tN163C4deOAIf26nzPaMH96Xsv8zuwO+L5Vd79eL6L6/V8AGucepQ3JEvFLKcTvQLBm5Qt9ZRvA/PX2X+JVHA7Xg3qi5iZzroO5QIXGW7GV/HVwq5TEatTAf+8Mur0bx+CgVzl+/OBZ7IePb51QFcV99/mxYD/3teO+7YIIWefTJwrwI+NWPhtHMI3/tiL643AM90TTvAOozP6Zajd1qAmxUK8Pdh7xJdyO0Efup6I1k6QiHtC43FX4EfaH9YH/GNQjtPF5WPAT93+sVtu1Fct9rPyqaAR/OtdN83RqG4c+OFc8BPFEUd5hmnUOY2pWzGaVDP69RERrGb1xUmcAE/uFFi9vl3Ci3e0A1cC1wpVv1DPEGhsa8rHTcDv210M9eZxDmH6e9hceDhcrxX1Sl83vV4xXcC12F7abmexvmf3XhJEfiOh3nyk9gzw+va1IDfpxu4GicoVCt84p4OcPlHPN9SJym0ZZOkszFw94obNR5T2Fu27bQGzkPtT9b9gft5sOnkKeAdgiIXRH/icxrzJO8s8HRRBf1Z7P6aBnaewP9r8xZ//4tCWZMb1vgD38X0Y8WD3xTSGNpcdw24aPTt3ivTuP7PWjndBO6q4/HEZAb3pf4PXMnAz3L7x0r9wfdaZFDePeA+hZVnGWZxnq9103wIXIBN/HAX9ph3qd3FwD/Q9Vsfz+E6Z2F3rgJurByzHPoX38tPS6frgVu+vNF7fJ5C/QoZV94Crzr17OnuBQpJvGtbagduN7U+gXORQgJtWle+AD9y8IHbIPYtsQzTI8BT5E4ZVCzhOeUE0xkauMetI1I3lylkE2bQNQ18k44Lm8MKGvnaDB5cAk6LPhlRZaDRzd11uawz/9x6bmf9GkYa8VmQHDzAyZyudAJ74IbTDgLAlViL/F4w0cjirXSNMPAZqtw6mZlGAtUafNuBTyoQSq4sNNqPCk7uAr78RH+9FiuNDDLPPNwHfLN+34wgG42a9vpMqAE3fXen8xd2eYOBHTrAG9ZcL3vDTqM1e9OcjYBnzmbEZ3DQaEq9JMMS+AGz7xe8OGlk+kKkww74LKON8REuGr1kJhicgev2LsuJc9Pow3Ee6QvAXzxt5VvEzrwx7ogPcOYLb360r6QRFeXhGgS8efhnW94qGq1nLY+IAD44ql1ylYdGGz5ZZMQB323WHHeMl0ZBBidKU4BXsl/22MlHo2/PG+sygYf0HjVlXU2jnouJzXnAK3LM9/Rh//XqzbsS4Ena19eVraHRmxVO76qAn0v89idiLY3+eJ5/XQ882+V8tx0/jdZe6q95A7wqe8uzfetoVGP0vOgjcLSJMY1HgEZxlqx3e4D3PeQOGMUu/bXm2hDwo9IH7arX00hm15gzAfy8T6ZGwgYa7b0XqPsT1skFWXGXjTQa94/a9he4FT3EfnATjb4Lci8w/AH5oameXC9Ioy9vVrRyAB/vaWmdxO7Q7XKHD/hdJoaSxs00krtteHoD8FLBk4lpQjQatcrbLgo8mmHM66Iw/i7XwPHtwPNvJB/XE6FRofjHrF3As1I91LaI0kjw4z2rfcDXc3qJzWHfUk9zqwFvLb7P/mELjVy1q6q0gce7LlAPttKorITt9BHgRsJX2vzEaHTP9DO7BXC2NLEnpttoRPhJPbQB/urldIq0OI0OBTAecgBedmEygFGCRqcf2n45B5wnmO+/buxL+lqunsC3f7TWLdpOo9aqssUrwJ1VW3eGSdIoXKMgLAS43l0nfhspfF4U5VZGAbftkJpXkKZR8bh6dDxwnWdrB7lkaJT0YIDzDvDXO8WbhrBb1q8KzgT+YNXJgkpZGlVFvZt5CPytQm18zA4aeZoLORQD3xmg5eO4k0ZGboxtFcAH3/y2PbCLRqukfRXrgDNON2vzy9HI7XP47SbgLT2vdlDY9zfu/NMKPNxynL9BnkYqh88f/QQ81VBu8fZuGu0q1LrfB9w76d6ImwKu88NV0yPAC/j2tmjvwfV25o06BfxTyo9Sob00enXSK/wX8Fze9jvT2AP9XrX8BU4c7QluUaSR7JpSLsbZf+6rxHY2ax+Nbrkf1OIArp9raeqjRKOY7xev8AK3921TNVLG7/lWr1AAeG/M+W3bVfD6nHndKwR8qHHXqmXsS6spZnHgtfMCfzpVafTfhgpJWeCvVooN5O+nkfc7WV0F4P/1mjYHH6DR6kBDBxXgmzXySqwQjdiDNvkfBB66VSxVTg3fI2K3YnWAa1rXh7Kr0+js09p7R4Fvag5x7cd+M+r2Iwvg3Xoulk8O4nv2t1iJDXCHek+NGxo04lA7VfYf8Odc2bKnNXGfrzMrOQucYp0RUDlEo6hXi488gK+Pd2FcrUUjtYzjGT7AL99kpsexC2R7xF0FbtZb97lWm0YzQpoB14GvNb9Xf+swjers3zveBL6tP7PgnA6Nc+w6/VvAV5m/TtbUpVH29U0yacDdU3hDNunRKJq7ny0b+Fykr+tP7Iup9v15wM9xclg369OoKyKnpBh45nSF1j0DGq2UeHy1AniYbKT8ZUMahdT76NcC3xgXIGR4BNd5IdeaRuBuTLc4tx2l0aTyqc4W4EV2rTPz2Gsqg+Lbga+7sX34oxGNrvu6GPQA//Ff9vuHxjQ60CbENAj8fov680ATfO9z3S0bA56XseKhhSmNdl8h7CaAX381kLjDDOciDxauaeBf1w8FsZjTaM/Bqcfz8LxcYXb7gv2FUv5Rxjlwfj9onyi1oNGPPGWaHfjaP490I47R6NloaigPcO4Pu/bZWdJo04GODeuA16h+2rbPikacjEMPBYHvF0pdw2ON+0Bw056twIvNghhGsV9Zc61aErjVy+uTz4/TaJ5RWH0X8CC9x33xJ3C9ZcbX7QV+o2X6rbMNjdw1v6nsB/57+/Eq9ZM0ctzHX6oB3+fgUO56Wxr1vRcT1wXO8TcsaRJ7mzV/4lHgzPIG1xrtaHRYdnzZHPjMWznPNHsaaSXedTgBvPThntMXT9GoZUSp+RTw7QXHTPRO02jo7DMJZ+DGFSkHt/yH69xfLMgNuHrBvNwc9s/Ol7ouAd983lf0gwPOq0ElUn7AN/Zt4MtxxH1MoMcrGHjol08r/J1o9Nx7oj4ceJVhyZTpGRp1/p1ijwG+Y13+gLQzrhNySPcWcFv+lx8YXWgUkfbqeipwesffum7sqnYp9ZnA/Q8ZFhedxfd+mP1sLvBWlbqMsHM4J9gLSz2G9fD7SJzNebyPBz9alMN9MVkM2uOKc4jXlavP4O8ovfbgdqPRIzPhnBfw+aii08PYlaSfv24C3iXzxKzKHZ9rXdPRd8Adl7u0Yi/Q6A7T9+V24Iuj6/c5eWDP9eXvgd/b6CmJLtJII2KlxADw9KDJjes8aVQwl64wCvzmYig3jX1SW+EABVx/k9JSwyUaiTW+1fgJ3LOWfSrlMs6HrxwPzcLz9e73oLsX7g+3ODSWgJOSi+2HvfH5iixRZf4L7ounoo3CPjgP/z4lzwnczdq+Ygb7tq3CYrzAH8/W5L3zpZGZ0ze+dcDzPBTTsq/gnMZfMb8JeGDR25u+fngO8k0eFAXuHO8bZOxPo2EirEECeNEKbU/JAFxv5WEZssDzv8g6rQikEbfsbd/dwN9x7bL+jP1xRrWREvD4CwaGhVdpNHh6ZisCfnM6VD00iEaNTZo/NYGf8e5WOB6M+/CmvOe6wD8PaW/fHUIjvWKJ4KPAM9a1beIMpZFiT80hc+AP5i7yDGL3GnNjPg68w203U8U1PC9IoVo74DJ23H+iw2iU+kvqkiPwusfLxH/XadSRsEfyHPCn6iv7VcNpxHXStusCcO0FhfY1Ebj+s/KDvYA/e3mpicAuW7pJ2h+4a+DHZy8iaXSxv7A1GHj72sNFyVE08vB2PB8O3MHxc7brDZxjP2px3gRedSLwtlY0jaxUDDMTgF/sOxi9+SaN7rME7E0Brt8iFPwbu2tQT2M6cA7etV5vY3BOY7Q3uQ88PHrLucxY3D+71n3JA14mq2vvHYfzg8lf2yK4v+0RFkfj8T42rhwqB77NYURfIgH3yavGJ58BT3trfnAJ+/Cn5q464JLEoGJnIo1G1nkaNgLnyw2Vzb+Fc128Wd1b4IWk+tbgJBo9TD27ow3W1Z11G6yScR2GPEv+BLw6jYlH7jaNplM1lnuBq3azs7Cn0Eh0L6v9IPCrCuLzX7FnZjC/GAWufsv6R/kdGpXvUhOk4O98yx2LSqVRskKVxw/gOuyrvp5Kw+uz5NE0A9xwNKJD+S6NmvvPCywAP+gg/JYvHedtyfxTDPP/XN717Ytx7PKysvmswBXGoytq79GoX+XXFBdwn4ozj29l0Ojrg2U5PuCoyfrBuUxcb7UmruuAd86fTtPMwvfgp6ncTcBT94cmbMrG9XOg66sIcPaLzyN/YrfR5uITB373Gmdw830azR6MRNLAfx539bn3gEb+QZbOu4DnfyXcL+fg+cjicuwe4Nd+XTljmItz9erRMmXg2sHb7LY9xH2VJacDAW/xHDm2gD3x6rMpTeBMpZVH2/NoxNIlxqELfGzL/cN5j2i00Wpk8xHg4QUP1K7m00jYcn6HKXBOlZp9xwpoZCfuomoJPLmU3LWz8P9z0x4tG7j+yzskWR/je8HNSv8UfB+266J92JNivhg6AU8smdlQVkSj9obnBueAPyR8VkcW/z//LBy+ALwxaS2XfQk+Rw9T1S4DD85sYFIqxflz+a7CFeCRv8IWeMpoFFTAvO0qfH8Pu+lR7CUs7/muAb/IdXSiuhznYcvlvxHAF7NMxhKe0OjS3K2Bm8CFxc8OuDzFc7piUn0C8C6f290HK2iE/mPIuA1cKbL344ZKvL/tn3zvArdVk2+Zwv6kfb1JFvDA4LRXTVU00nn6WjwX+Of9m2vvPsP55/3YTD7wZ8eKKzyf4/U8d7mhGHh0tWWJfjW+L4a9op4Arzdbl7+15v/9ijZ6Bryfc+z+X+zaKZ/W1AG/3Pg2va2WRlv893x8CXz3hZe3c+to9NKf60Yz8KY/H+IDXuA+QFtqtsL1VPtxw7we94FNW2Y/As9T3HZdtgH3Z6v/cj8Dr3p1Noj5JT4vC2JmX4Bv7Wy60ot9u5H90gDwySN7L5e8ohHrI6Hsb8CVRSrcwxtppGJtrUUAl9llcNa2CX9X6YZvE7BunacdFF/TSJDZOvAX7AMVRXarmvH6p4usnwWexBxw/Bv2959c8heACyrbWjx/QyP9+f37GRb+uYCGqXH8Wxqdskl+wwJ8Nae1gXMLnveNrphyAs/zvnhY/R2NJraRPauA37hyT2N9K86TsqMn1gD3Wfx6YBJ7QsX5PgHg+8d2Kje+p1HkhmuWgsDLxeL3pH3AfzdD9qMI8PZ77HIX22j0KsNBexvwOK0YGb2PuN5c5CslgTMySG3f0k4jHqM4iR3ANZ51bp3D3p8ZFicPPMg2XvhDB43yStb83Qt8xRf7TTmduJ+3KdqoAOfcoCng/4lGA0bTNQj+XSbFNWafaSQUYiCoCdw0VIVHpotGjFXqlw7DvxtpxMXUjec4zfYWfeDrGbzZerA7XWISMQJe0VbMVNyD1yG93dUMOM/3+eWwXrxuqw89twT+Rd5iweYLjaaELVlsgE+kNMzu6aNR2gY+PXvgW1eqT3N/xXPK0fM3HIA7e77/MYz9sMCFFmfgNbXnJ6r6aSRRs5ndFbh8lxAZO0CjuVsX1DyA9+f1jzkN0kjql7vnZeAzW4tH0ND//y+0OccX+OOd8YPrhmnk5+vZGQDcuir0K409QPfKihC4zkXXe1+O4LljSH77deAsS3e67nzD/ScxRT8KOHWztvPCKM75ZWXnYoDHG//6qDNGo4qYoMgE4Anyih9ExmnEf4XlQTLwJMHId3+wDzcdqE4Fbrk48ab1O84nr3a23QOe8cL+9X2CRrmN3YPZwA+bj766QuJzIXhgMhe4Qq53gwlFo8r1NnP5wE9mC76QonHdcqusKAbeqvi+hmECzxc6n5jKgScfiX3ehb1UVI65Eu5Ll33V40ka1X7TZ6gG3lenUXFtCueQMan5OuBtv3c/OfGDRupeLT9ewjq0312m8JNGhd/lv70GPj+tXsL1C+/vjZOdLXBf7p4sGsKuXWZS/wF4gXZUYeVvXP9FvPkdwEMGmvJjpmm0rj0prgu4pPnqR44zNHpzjvD8AlznlsvDA39oxPSRw3wAeFZ0ew7/LL4fjf7IjwBnkNV9QGH/q1rGPQ4cnXyf3TCH8+eo+jAJXHvNqayUvzT6kZ7xZBL4GkWWTPd5GklWdVz7BTy3ovze4QWc9659MfkDfMu1i+nCi7hOLKo2zwPPvKF+dwb7ez/XkSXgttWCae+WaMSmt5jDuAhyIBNravYyjRp4/3NiBf7YcDHFd8UEChHJ3cYJfDqKMcWYYQK1vm3qXwl8IJ//tiTjBNp6+tUtPuCTqXuTVzBNIHaVTF1+4IV6/yV9xr6ccXJ+PfCqnIxbhcwT6AaxlCsIvCadTAxlmUBKDldNRIB7btFIPM46gUIdxv9uBf5AKDdhN9sEmlXdky4BXDJ4YwIn+wTaoHJGTRr40IGU+EHs50pCv+4A3qgmEV/BMYH8f0d6ywP/dPlF3E1OvA7Gfnx7gUu0O8U5cE2g70LWD5SAd6hvjtvPPYHM8sT37Qe+qvRr7NqVEyhVa7BRDTjfuoJYErv2oShjTeDiVtdj61dNoK9/tvdqA/9fO3f9VOUaN2pcEbu7JVTE7kZvAzsRRWxMbEHFRiwUE8FAsDuxxUBUBBRRxFZsRFFUnscOMM6958y879c5f8GZuT6/ec2atdd61p2zZ9g33iMgOL+h3h465dZJdMvWwwM8Chjq+zmH5K6i7740IqBdQUP5Twkb0kP0UqmTA8oVMlQz+0rPeon+Idg/4KvuyyqudO0jemxsWMC1wobKfuHT9f6i9xj+NmB7EUM16dC9lZvoXQZVCZxR1FDHCu07OlT0+bumBDoVM9SfcZmt3UWPr5IQaF/cULsP9F4yWvSij+uu+qt7c+uDH8eJ7rRvx6p7JQzVtVQ2F0/RfX1tVoeWNNTI924nJ4seNWDf6gWl9Hh4c77oNNGrlldr+pU21MeBFTxnip4W82xNnTJ6PGzzvzJb9NYNlq3NWdZQTpZZrOaJPmOYY9Bz3X/e9fH0Ff11ixzrTpbT82JU9kg/Ob/C769bYWWofPnX510mepFLR4OHWxtqU0mH3v6iX+kWHOJgY6g2D99tDBR9a4el6wvbGip42/6kNaI32+G34a3uVaJn2QaL3rZ7wMbI8nrerXRz2yD69OY7N62rYCjnPq7rN4sePCh684SKhsrvMfz2NtG9dxhb2toZysVucY5domf/U35b2UqGOhsf3WSvnI8Dhm3/ovudkyVHH5DrydFDO67aG6peg8VrD4ne8EPWXdsqG8ozpMiFo/LzZ3PfPb2Koco1iEg5IV+fcmtP96qGut13Qa7Toqu5HfZVqmYou75jqp4VfUNs3P4/uof6TupwXvQtoS6hd6vr9arGpmEXRd9rk3bwQA1DHdn9flaM6OWKrTg8v6ahBrR0C4wVfeasxkf71jJUUJf0HVfl+GlrHqtd21AZZc8evy56zuGHTuSoYyhry92RN0WfEDf95DPdNzqdvXpHdKuRXU+H1TVUHtfft+6Lfr9m9fDl9QyVbdSY+w9FH1i4WMSw+oaqeC974hPRl1rmPN+0gaEsP96+/1yOn69ZIws11PM6983byaK7388Tlar7kCmZ4lPk+rOxbMyFRoYqtWBoVKroto0aXQ5qbKh034yw96LfDel/ZXwTQ22Ov7LbFN3x5JKrbZoaaseBhDWfRN/oczG+jIOhdk7ON/er6BVSstz4rLvD1EWjfohu86TrrbhmhsqVzaFbhtynXLbf2drcUPsmVq/zR/RPbTLfn6YMdSrfgEKZ//xv37xhZGK3Foa6WfWamUX0yV0SH9m1NNTq0rPisomeqZPz09+6b645fltO0R8uuvf8TitDBZzePjWP6Ae+DUne31r/XrnLdcwveqUlP17NczTUFq+nJQuJnrt+0Js+bQz1q2NKShHR7d82f1erraHCHzc4Ulx0lw1mWvZ2hpox6+a0UqJ7N9/74anuj2aebFZW9BVRYz6faK/XvWpv/1qJvqxcw2/LOhgq6/PR521Fn9sq98+hHfU69qbJrIqiL7V9k9Gkk/5d1vZrYC/61SPxfwp2NlRNh+tpVUSfnhyeOVV3v6qrt1UX/ea+o5YXuhjq3YmDPWuJbpNxJHtQVz2uqllZ1hX93OXTucZ30/vvi5TD9UUvbBmXt013/TwrZe/XSH7f7S8KlHEylE/XuRZNRQ8NzlLks+6r97jsbiZ6RmK14nE9DDV3kV+HFqIXcB1YaquzodIcSqS2Et0/+7qy03oaanqp7AvbyN/rcaJ1t16GuurpYt1e9LVXylewczHUotXZT3UUfWuUV6Xfuve4U7pLF9FtzyVUudNbn0/mrX7WTfRvB2rX2O+q59HHiRN6yPGzYH3teX0MNXXiqV89RR/QMG/9Pn0NZbiMWNRbdOPMwka1+hnq0Afv/H1Fv2ORwyF7f0MNCsi0pr/oVbIEqKe671hiFh8ketnDNq1PDDBUpRqd1w0W/cXv022XDTTU0vjixYaJfuZ5n45DB+lxe8Y5YITo3ztn7trE7b9zVOZco0T/2OCwU8HBhlobZTNnjOgFV43o9Ub3gvPDPo8T/XKvCn3ODzHUiXsXhnmIvmpSav+1Q/W+WaDV7YlyXiedcBs3TJ8f5jZVXqLvCFw8zHG4oSrPPLhnqvxdvIeNLD1Cz+vuG/LPkL/7mrZjP+ne2ynb5Fmij0+o6XHF3VAxN9Luzpbj2dp68paR+lxh1bP+XNFTvItPmzpKnxNWNgmcL/qlR0VndR2tf5fJ2977it6uZuk5FccY6lWZ5Y5+8ncfV2nBL90TH2UELxE959ImfrfH6vOtxYf3y0R39e65bN84Q0Ukj27mL/rQxl4r5443VOYb45YGiN7x+IbVrhMM5VYy/d4q0Vskx62r6WGohQULWq8V3Sf874Zsnnp/z3V8xDrRu9ZpuvWJ7rd7vtwXIvovB++dxycaqmfr7e83iJ56I2bv0kmG6lzpU9XNos9JLnJwyGRDDe9xa+RW0WuNHn20sZehuhVrs3276LP7XgorMMVQYdGdHu0U/dNe+/DXurc59LrAHtErdA04f26qPldUKuW4T/Qwh0zRa6YZap3Py8kHRO89xit27HR9Ts7RfvtB0c8mfLjWeoY+bxRpm3BYrkuDJt4sNVOvq1+f/Tgq53uB9Lsfdc/yq5j1CdEnJi56GDtLj/MZ7x1Pyt/3UOlnm731OefiYPfTou9fdCJ5ymxDrbSbtihc9B59er3p4qPH//daOyNEz1Eq432FOYbquHD5hfOiPzu/62OG7vEV/RMj5XNr4frt1lw9/is1/BAl+phV+TP2zjPUmscLLS/J3yv02t858w3VMMinWKzoY339LV0X6PVqj61dnOgzC7rmrOmrz/9DPeteE/1vO7t82RYaqm+Jcc2vi97PKr3QE90nlCze7oZ8nstvFz++yFD9T3l0uSV6hyVHyyz10+eBtjOd7sh9KleQzZDFhppZrJHzPdFLZ5tr13iJXn+m7+nxQPSIiR5VCyw1VOsL8d0eit6r3fBar3W/0Gxvx8eiB84YVP/cMn1fa+3Q+qnolbMMarJmuaFG2/o1fi76o/tD1dgV+l5cbUX1F/LcYo5zbO2v18/j3axeih7XwrtDqZX/nUOu50uRn/NiQNePur+bm+vXa9Gbjt3vHBugz7Gjs71OFb1xvTjXzYH69cWjEt6JfqqgMWDKKn3vftgyLE306IxiQ7usNlQDywUhpuieqY4jK6zR99mUJbM+iv7y5tRxGboPu9O7/2fRHQ8cmnhrraFql3vf+KvosRPeT90bZKhCxToU/S76ocI1vOes0/eUvB7GD9Fb+0+e1zvYUEkuQ2LSRX+SeH5RjRBD1W9tE/JL9Htv8y/Pul6PnwoHx/4Rff3pYYGPdW/VOVezTH//t29pdi7o2AZDDc3TMLeF6IPHl9m4ZKPe98Pq388i+qjWPtsGb9Kv35B9a1bR2x1P2d1os6H25z84MrvoG071CM2/xVBFh1SpkVP0vO2jjqbo7vrK+2Mu0Tv2bXQqYqvel9/tPZpH9IKvj0Ss3qbP/zGHPPOJXjGlZtSY7YZyjFlZo4DoLt2OxrbaYajfDl1TC4o+p1Tj6yV36nvB7NSthUX3VdG3P+ju/HCoa1HRncKcEy/vMtTA7efyFBf9+ZTXTzft1vf0KhnnSohec7rPS689er5cLDWhlOhdTpR+23mv3l/OlitbRvSu5c+a5ffpcTUqx5WyovcMd/uarnt8mcSJVqLP98qZcXO/3u/sAkvZiF60Y1imvQcM5Z1Y74Kt6K1ru2ebE2qoywsvDq0g3798mTy9D+rz2xyHrHaih5S4W7DGIb2vFd+xo5Lo43MGFs96WM/HzektK4ve0OhR9rHuW9xbPqkix8/54uWPHTFUv6jpU6qJPtTruf2So4Z6n2Vn3hqin88RWmPwMX2vnxm9rabomSZ612t0XJ9XZyTWry16+F6nJvlPGOql86tLdURfvqdyixTdc/VJ7VVP9HLuWdtGhBlq26OUF/VFt3n6stPqk4YaUf3ZuIaid8sW6zTmlKHybrn9rZHoYx4c7N3qtB4nvjHeTURv2yV4QMkzhjJrhFk4iB42YNHQD7qHGLt8m4m+3mL6qMvh+p5SLDibEv1pvfETNp3V95rvy31biD45bYSXV4ShGicvtGglumvFoTM7n9P332q+3q1FD7w7ZG7583pfrrDkm6Podb4PX5Suu0+ZoHFt5TicP3b5zQuGej0i9EU70XNOmrJqT6ShqvW63quD6CvOzw/2uaifc+OMSx1FLzxk9WaXKD1Ph9Vv0Fn02857dlaP1ud8+9nbu4hebMX5/ZYxetzev5evm+hVcz088kj3rFEtpnUXfWzk95NHLxnqikPEMyfRm4SWOLf4sp5fa7u0cZbj57JDtFusob7ZfN7TU/R6OYbFNbyix3mtQ7lcRO8+esWNfHGGelhk/ujeoj9KCb/3SvcYK49YV9Hdp75/fPaqnkfbp1boK/riotbJq67pc8LHkNn9RE8645I6Ol7vL/0e3esveqnBK82W1/X3rduk+kDR32SO/1oiQa+3cafmDhI9a1CeX6bueSa53nETvUGpbhaXbxjq1OxSFYfI8em7Osemm/peoDJNHip6gVuP83ndMlSxbLkjh8nnnF6paOfben+v6JBnhOhtfniVLn9Hn0OM1b3cRV8ac8kmXfdqx4ptHCk/T/9S9jfv6n025uKLUfLzhHnU2HNPn/OnhNiNET02/ko9n/v6fUpuHjlW9GsbKjZ1eWAouz8394wTfULZBS2rJ+r779R6r8eLfqvDq3aWD/U95d7l8h6ily/Toesj3buNXz7QU/TgFYd6Hn2kv6//wqCJ8jmsL9Fv8WM9X5Yevz5J9JcOCwa7PTHUveMlLL3k+Bn3yb3hU30O6X+84RTRs1caOj7fM31vves3aqrow4bdm/xK91CPoOBpcr5YdZ559rk+h/skXZ4u+gXn6Lmrkgw1p+fILzNE357e3G/0C30ObFHdapbof/OdXdEyWY+ftbXbe4ved2nTNSVeGurTrikTZovuODpival7y+jfq33kOrOr5bZLrwyVs0XsqTmi128Su2djiu5j7z+cK/dTa6dDk1/r+1dItYx5oqc7Pz7R6Y1+DqWvlFwgeqeEUWdtUw11o9XBBr6iOyz/efGn7jaDnzgtFH2N39IrN97qc1ds7zGLRK981urG7neG6hVXbr6f6Am2Yfdmv9f3l1N1gxeLPu5k1ye90gzV9FVQ6BLRX09OTa5mGOrg1s4Xlope12Xh2yymoeKU881l8vzjUvHjQ927FAx9vlx0e49L34980Pu7ez9jheiPN4364/fRUH5rBqX7i+71JF9Wt0+GOvPujGWAPC9VCsvd8LNeZ86OzxsoetSUQYXyfdHrQJ9ZRVbJcXI5V8lXuu8q/Krkavn5i56yOvvVUMnN9pVdI3rvvu52q74ZanbleKu1oo8MLFF99He9ntt3sw4S/dCpq3Vb/jDUnaW1rdaJPjN2TpMSP/Xn2eVVJlh024iGLU3dt8aWKREiepbAD+0upRvKpY19ofXynNNqf9eNGYZKGReca4Po+eLce03+pe8vqz0zbxS9dAW7/p1+G2p9zqPfZK/QOWWI7R9DtbDu/3aT6Ieb7Rn1U/fIyp6PN4ve/ssYjxt/DfVs6qdrW0SfPab21N2ZTNW7f1L4VtHTNv3wnp3ZVO/t1d5t8ly0JHJBLwtTDayZd812+X0rL1taLYupRkd29tkh1/OproFZLE11p9Zf952imxPsgh/q3jehYrddoi/I/23zkaymOmtE1tst+iKny7v8spkq/PmdEntEv1w7JHRQdlOV+D4oQ/ZSB8Yfb5DDVIHzhz3eK+f7WcfwvDlN9e5+cvg+ud8NLHPxpe4v2jwL3i/PvSu+xobnMlVTK9cpB0Tf2u5GQmBuUx050c0pVPQTCw/cG5XHVLn6Xa5yUM7HdkuetMhrqiyDL1gckuu/76iXxfOZalBJh0TZk5p1fGfo/uRu04OHRT83ptqnmPymavHmwtwjos/NXeDnhgKmarftmvNR0TuX/Pp3UkFTHevlVuGYnNcBj7J1KmSqtj29P8u+dUJUXtvCprpoVog8Ls9dhw8U+al7ynTX5SdE79M9qPSNIqaa7FjSNUyeWzrNt91d1FRVt460OSnH20aPyrOLmepGUrtU2We0HlSrV3FTVXA9deiUXG8bd2tYrYSpXvUKn3xarv8zWzTPUtJUd6v1aHRG7lPZ67Z5qPupGrPTZU++b9f5SClTdQltER4uerW3pZ39SpvKJT1kxlnRdzYp1HdQGVOtdV/RKEKutzE5Bzcoa6qrbct8lb2en8XIvOVMdSa1zeFzog+c/Wv8S90rbMsz+rzcZ3d89wq3MtWVSE/bC6IP/vF5VqC1qcaFTEmU3cvr4/xRNqaK9y7jHyl6XIkPS1rYmupoxLDWF+W6+swMKF7eVPf3d/8m+5foD+sM3TOHJO2OEr3R5U+bYyqY6ktiCddo0Te++LprQ0VTjY34ni1G9LeF00Mn2Zmq1lqf47Kn9f57vGMl/f5hR9wuie69P+tZG3tTbR7vn/uy6J6580b90D2+YKkTsu+fXDQuobL+vT72GBArz+Evy93cVUXP04FNLa+IHuRS+YF3Vf36A3f2yl7lSr1nPauZqntV665xol9q1DKlanVThVa3+ij72G1d0yxqmKpy1tuBV0W3yjLgS6Lu87I0q3tNrmO9x2YcrmkqnxkDb8n+duMsC79aev6GN/KIl5/n1vKcg2qbanDJ+DzXRY//uLlAgzqmSnhZZo/sP38eLZ63rp53Eyq3ShD93utL5V7qPjrPl4eyrz71qGJ4PVOVyzN74g253436WC2wvqmiL8TmuCl6wPfs9UY1MFXZWXc3yt7Fzappi4amMv131r4lesqWhq2KNzLVzy5NomXfG9a9g6H7n+xret2Wr980untMY1NF5T/5SvZ0F9/eG5rodfLk1sl3RG/5eMvASU31ut3NxeKu6NbVIoZ3dDBV+ar3Vsie2fHhWJtmppq53rbUPdF72vyY9EN3t08OO2RfHllsZkJzUwXMtat+X3Q72wbzdilT3Qt5flz2bS1cFnu3+O85jG36QPSFpaau7NnSVJuOXr0g+4DQdUFVW5lqV8+/jomin/p2ZpNFa71uXM4RK3uNL092JuqeMCC1w0N5jt2eOfSwo6m8Rm6Lk/15Zrvji9qYam7j+h0fyfN23k7hA9ua6oTt9ljZV0V5XKzfTu+/XmltHote1jboSp72ej4uKHpR9gi7czeSdX+ypUyzJ3KdTHh1/0wHU3UtY3nyn14y37OAjqY62T6+5lO5j1s0TBnZyVSJU6fvlt1isVua6myq6Rk5yz0TffK+JV+KdTGVa8U5q2Q/NuxERpruTds9yf5c9OATzy1iuprq5VHbmbLnWJ8n14Zupip2xilN9pRCjQtO6q7X84NjBibJ81XpESU6Oun1+YXnddnXH1llZdPDVAt3DW/2Qu53dyLtfuju06X9ftmd5n6onuCs9zX70iWS5b4cZlV/V09TNV/ybL7saZ7dHLx7mWpZ1FpD9k1HfFr3dDGVt10r15dyHE463LFqbz0+LZMvyJ47LMnJwlWf3w7PsH8l1/kphfsk6n55Ri5/2aceb+N2uI9eT06s+iL7ybHT3Bf1NdWMY8X7pIieuHH/+IH9TOUYE3RW9pxtn3nV72+qnM2KWr2W7z+0sHeeAfp7jQ2YI3vvL+0WJOsesDNvkuxJ32YtPTNQj5PGS1u8Ed1l1NHAgEH6/DAz92bZv3d4EzzSTZ9zwv1/yZ4nqNxWNVjvX51K9kmV86Vrrz3Fhpjq8+y9x2WPmbDsUJru2Xe1zP9Wvs+PqLDooab6Vih5pOxFUzIi1g/T639x/0jZGzWqFzNxuN6vs7Yr+U70J+/HXuswwlSza+TxkN3dYtdta3c9r18+i5Hdceqzh991Lzk9qtR70V90KPni+khTVWt+arzsJ6c5p+4cZSoP3/ORsje1WPFh1mhT7d/ysHCa6O9exn53HqPne1Ku4bK3t7L8W2WsqQqGOJ2QPfGQymYxTq/bpQ9bGqLbr5mZN1H3GacqOcseFX+yyOHxpvoReXqL7E1cv5ReNMFUlkvc02S3q1u7/EAPfY8YUqexKbrtgPFV6nvq88CG0gtkj7+zv3aeiaYqsLTCddnj1qU2StbdnN21+AfRz++u1OLMJP3c4kIGye6aaUS7gMl6fJ7LtVv21lt3dB3ppedv6OY02RstTu6lppjqfGrfuh9FfxNmO6DYVFOVjm42TfbClYcMS9N914oOZ2Wf+nTrmOhpprJf7/NX9gd3kyaun67PA02TWn4S/Vde2xkTZ5iqeOSE+bKH+g6Z22GmqfLMrhYte0TT7X7Ws0yVLbqE5Wf5PjVe+n/X/dLL+q1lbz2wYtB1b1MVquM7V/bRsSM27Zytz0W/s5+X3Wnsnp2zfEzVP/h8huyJ7d8ecJ6jz2MuoQ2/yOfTv9rxKnP1OdDv1kTZR+weH555nqnmzK4VKnurSkcuPtDdallsiuxjHn2+cmi+fp4WG6y+in73YoObCxfo9bDugd6yT388/cEAXz2/PNNXyO5cKeJZvYX6vpPXL0b2Qdsyvc69SD/PPi4Zsm/v7Gi80H3prhG1volevqLf19N+pvJrd2aY7K+rXPu1crGpYpb3WCf73/4FLEcu0evk1VpXZZ95pmdutVTvU04uv2Uf0yq4ULFlpjroGV3ju+ipn5+UTNN93exZg2TPf93WJnq57ld8/GX/leBuv36FqSbsSDgne8KPAzUn+psq2W1cmuwH2n1q0GGlvjd171v6hxxX4Q2bWwfoe25MUHvZq/T0bvNd99UFK3nJXr5AVOfrgaayXZhzq+wPjBw9d64ylY1Xi2uy+5hd+81abSrnWvHfZO9WcM0Q5zV6n815xPqn3E+dH42qstZUI3qkdZC95wkbz8xBet3oP3+i7DkbjJz2QPfpMyaHyJ5056DPoXWmqvE7MlL2ygFfFy4M1uO/wbg3slcY7bBiQIipzk2bmi9drleD5q+pt15/36Iv6so+cULchtwb9PlwwEFX2d1DCu54ofu37U9myd77mev+0xtNZTT23CJ7cLMtR1duMlVHz9FRsi85/vq0+2ZTXV8f90p239Y1I5tv0eeN3KuyZ4hupE6JLbpVr7cFY+xlr7j7XMJ73T/9HdxB9tUzst2P2qbXPfsxo2TfPrTr05Dtplr0JMlP9ojBa1957tD7iMfl3bI7TX76vv1Ofb+oU/aS7DdC7L5Y7TLVRK+XybIfuDM+45vut5aWy/xLnqttTlpc3633kcvXysref87fnDv3mCp22ofGspf/2K7grL36nPNpSS/Z60xaWcJ5n6msF230kD1btkSrKvtN1WRR5aWy2+21qZT5gN7XHGvtlL1Y/9E1HuhuVejYuX8+T7lj9Q+FmsqzxbH7svuaGQ4LD5rquE2dD7KXTnB0HHBIj7fstXP8luv82eWd6h3W9zjHI1ayXz95r0fuI6aKsz/eQPYCF6z6vtB9evamXWTPdXfk4NNHTfWudruhsvf8dmTkymP6+fxMnCa7X/mMCe7H9bw48mW57K36O05tfkKfh/eu2ya7zZbls4uGmepYvcthssca93zf6z5jx9w42e+3s14eddJUGzteeSL7l32jVoecMlXStM0fZL9c/Nh6z9Omyj03a5Y/ov9c/mtb+zOmenr8VxHZ6+Vtu88qXD+3EQvtZLdf43/km+7+Kdsbyj6vYuKp+LN6Pi5yaS/75wjbCzsi9P67YbOr7HUGjr0885y+Z02eM1L2j1nDrvc4r9fDoelTZU85/vdu5QummnYm3yLZr43u8CRTpD4PXD23RvZBlVa9vK/7sNe5d8ju+vbxu4MX9Tx1+35E9unH7D77Rul7zeJ552WfM88jvX+0qYocO3hN9lq9z2SuF2OqWjW9E2XvVNsyZ+5Let/pZr6SfV2BrgVe6N5zRLZPsj/9ElT89GW9j0RH/Zb91ZOkcitj9byIsM/5V/RpV6vauV/R99wtDYrIPjjCq3rzOFOFRRrlZPc4dr5e0aumWuPZo7LsE0NzOrzXvb7F0LqyN97v3Drqmr4/xtg0k33tgY0dQ+JNFZlnZVvZBxx57eR5Xb9PlUPdZB92unaf9gl6Hk2Y4yr7nOiZblY3TNWlRtbBsi+9FeP+TfeZp5qPkr1fcv4J8Tf1+XlQDU/Z47/1mbLjlp6PXnenyR6eZ4f3zNv6Ht25/hzZLSsaC3rcMVVq/W6LZPdVjZZVvmuq9vMrrJDduv+8VZnu6fGwMGy17CdmXAu5r3tQQLb1stutL7bt4H19rv5WdKvsvSPc9vo+0OfGrCm7ZK+atO9w/0T9fQtNOyC7X7avJ+s+1PNoXPyRf96nujqf65Huo16Hye7da/GlJN3buF4Ol/317Nvxpx6bavuS8Rdkn7W37F3/J6a62+Np9D+f/6774xFPTbXFosQV2e9mPprc7JneF96ViZd9Us1fb4s8N1V+N+OG7B8GtP30TvdmR5bf+WdcLV/582KSnke1f92XXUU8zBTywlQutZs+kv1TWoUcnsmmupKl81PZHa0m5G//0lR10msmyW7vdLqY1av/5tebZNlXzs9S7pvuX4KnpPwzL8K6VIxP0c8h5dEb2c+lBlXb8dpUZzbpa6jo48u+qDvzjalGFa6d9s98dKrWtEeqPlevLW/KftN3SqvKb03VYManD//8d89c6JDpnake5d/8SfZuZi6n+7q77q3yRfbhFXq5Hnyvz+Hr1n6V/WCfzYN80/R9vMbLb/+MW//UEf0NUwWfK/JD9tPRdcfXNU1VKbjyT9k90729cn0w1dACFdJlb1MrdlaS7oWnZM2QvfaIQgv++7v2P0sn/Ns39F/q/8lUD5zn/ZK9xa1dgf/9XezpE6x/yz4wx8fgZl9MFXJh3z99UfOmW//7u7cWwbZ//vn8k333vNN9SsfF//RP+xIO/ff3JU/bPf+n10wqeTL4u6mW+9j//WfdKz7snMcP/fvuGvpPP9nlYEy7n/qeZQT+03/P/3GtXLqpKu8++U9ve6bVna+6fyh/+5++4sOyR9cyTFU7LOWf/sDu/ovtv0zV+9Dnf7rtAJu3M36bymNIxj997KoxH53+6PWhzN9/etiVEz/s9b/nWP/3rw//0x1av+7x3//v+fP339f/Xx/+n77Qp9KNvz4Wc/7nuf8ot0r+O3cmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMD///4P + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 5009adea-3889-4444-a662-550d073a1b5e + 1 + 97d5ad31-67a5-4eec-b0d5-2775b37f1541 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8901b2a5-394d-440a-854c-9cfa8fe88dd9 + 1 + 231950ad-fd20-44da-9934-dbdc3bb0bbe5 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5e828d95-2fec-4583-aa06-a540b9e69323 + 915c57bd-c5d4-409f-8a53-59251156111f + c224342c-801f-4459-9224-44879ddf539f + cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 + 684f5a7a-2f03-46d6-a594-682e524e0f68 + 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 + 6860470d-e422-488a-9a4e-717f9040fa82 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 40e37398-63c4-4a61-8694-7bd0ef83882c + ca997e41-79d8-4e43-be24-c7b4c29481db + 231950ad-fd20-44da-9934-dbdc3bb0bbe5 + 97d5ad31-67a5-4eec-b0d5-2775b37f1541 + 8b503ea6-0c14-46fc-ae0b-7ae4ce6243b8 + 4c64635c-1880-4b55-b09b-268462bf0344 + 9b61b62d-1781-425b-8b1f-b7e73ef765da + 1ea137c4-3571-4d3f-8ceb-c0cae1c5bf1e + 768840f7-01a4-42a5-840c-7347ebd0d7e0 + 51067a14-7237-490f-9fc3-040d29b665b0 + f5daa0a5-064f-48e0-9aea-0037c20fcd07 + 91586ac2-1724-49d2-9bce-dcebd4685515 + 20 + c35ebd20-cda5-4150-8dbb-66ad350904e1 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 5e828d95-2fec-4583-aa06-a540b9e69323 + true + Duplicate Data + Duplicate Data + + + + + + 12984 + 14348 + 104 + 64 + + + 13043 + 14380 + + + + + + 1 + Data to duplicate + e92f70ca-c0e6-4bba-9438-db807ff62bb9 + true + Data + Data + false + 1ed23266-44be-4f2c-ab56-029d13fee712 + 1 + + + + + + 12986 + 14350 + 42 + 20 + + + 13008.5 + 14360 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + a7eb5d05-d07c-4f59-bb6a-50db03df49dc + true + Number + Number + false + e1807893-da4a-4101-ac40-63126ea670f6 + 1 + + + + + + 12986 + 14370 + 42 + 20 + + + 13008.5 + 14380 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 5345db8a-3710-43f4-babd-61953aec8b20 + true + Order + Order + false + 0 + + + + + + 12986 + 14390 + 42 + 20 + + + 13008.5 + 14400 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 2ccc3f2c-8a84-41d1-a8e6-75b96b71ed13 + true + Data + Data + false + 0 + + + + + + 13058 + 14350 + 28 + 60 + + + 13073.5 + 14380 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 915c57bd-c5d4-409f-8a53-59251156111f + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 12970 + 12420 + 116 + 44 + + + 13031 + 12442 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + c523fe05-35af-4ca8-a83c-190f6a2bef35 + true + Forward + Forward + true + 1 + true + 2ccc3f2c-8a84-41d1-a8e6-75b96b71ed13 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 12972 + 12422 + 44 + 20 + + + 12995.5 + 12432 + + + + + + + + 1 + false + Script Variable Left + 0b7478e7-8000-4420-b738-a37d501ad798 + true + Left + Left + true + 1 + true + 6189ad75-b660-4906-90f1-9c39628bb5af + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 12972 + 12442 + 44 + 20 + + + 12995.5 + 12452 + + + + + + + + Print, Reflect and Error streams + 8e6c6b2c-0cb9-46fb-be7f-244ce0ecd1bf + true + Output + Output + false + 0 + + + + + + 13046 + 12422 + 38 + 20 + + + 13066.5 + 12432 + + + + + + + + Output parameter Points + 289c80b2-fb40-41f0-a44a-49aa726014ee + true + Points + Points + false + 0 + + + + + + 13046 + 12442 + 38 + 20 + + + 13066.5 + 12452 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 + true + Series + Series + + + + + + 12981 + 13677 + 101 + 64 + + + 13031 + 13709 + + + + + + First number in the series + 7d78119b-b332-410c-8097-92f63bc27f38 + true + Start + Start + false + 0 + + + + + + 12983 + 13679 + 33 + 20 + + + 13001 + 13689 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + cff07a07-5763-4059-957b-4419cf12f07e + true + Step + Step + false + a90efd40-4b05-4533-9ad7-0796e67982a3 + 1 + + + + + + 12983 + 13699 + 33 + 20 + + + 13001 + 13709 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 32a81621-6d75-432a-a48e-0fa68bf9c5f2 + true + Count + Count + false + e1807893-da4a-4101-ac40-63126ea670f6 + 1 + + + + + + 12983 + 13719 + 33 + 20 + + + 13001 + 13729 + + + + + + + + 1 + Series of numbers + 98be2f6b-4af9-4e29-9c36-c475f903d3e3 + true + Series + Series + false + 0 + + + + + + 13046 + 13679 + 34 + 60 + + + 13064.5 + 13709 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 684f5a7a-2f03-46d6-a594-682e524e0f68 + true + Number Slider + + false + 0 + + + + + + 12967 + 14528 + 150 + 20 + + + 12967.08 + 14528.52 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 + true + Radians + Radians + + + + + + 12970 + 13894 + 120 + 28 + + + 13031 + 13908 + + + + + + Angle in degrees + 78c3dfef-8f84-4da0-bb31-5fa61cec6042 + true + Degrees + Degrees + false + 51fb46f4-8bcd-456d-a842-67167d645345 + 1 + + + + + + 12972 + 13896 + 44 + 24 + + + 12995.5 + 13908 + + + + + + + + Angle in radians + 44c8431b-375d-4ef1-a714-25316eb80b9d + true + Radians + Radians + false + 0 + + + + + + 13046 + 13896 + 42 + 24 + + + 13068.5 + 13908 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 6860470d-e422-488a-9a4e-717f9040fa82 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 12907 + 14203 + 251 + 20 + + + 12907.79 + 14203.79 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + ca997e41-79d8-4e43-be24-c7b4c29481db + true + Interpolate (t) + Interpolate (t) + + + + + + 12956 + 11655 + 144 + 84 + + + 13042 + 11697 + + + + + + 1 + Interpolation points + 23e6a9a7-30af-407c-a61f-38ebfff57a34 + true + Vertices + Vertices + false + eb58ff90-1679-4c1c-9aae-21704022ebf7 + 1 + + + + + + 12958 + 11657 + 69 + 20 + + + 12994 + 11667 + + + + + + + + Tangent at start of curve + 503bdd70-d1a2-42cf-8f1e-a9d96d708e2c + true + Tangent Start + Tangent Start + false + 0 + + + + + + 12958 + 11677 + 69 + 20 + + + 12994 + 11687 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 5ffb5739-82a3-4864-a7f6-f07e9036f88f + true + Tangent End + Tangent End + false + 0 + + + + + + 12958 + 11697 + 69 + 20 + + + 12994 + 11707 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + ae4ca890-1a64-4982-9414-681b719b70ce + true + KnotStyle + KnotStyle + false + 0 + + + + + + 12958 + 11717 + 69 + 20 + + + 12994 + 11727 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 3a3ee721-95ca-4efb-a962-55fa8532ee66 + true + Curve + Curve + false + 0 + + + + + + 13057 + 11657 + 41 + 26 + + + 13079 + 11670.33 + + + + + + + + Curve length + 7c227b4a-73d5-435c-92e1-ad072b8582a9 + true + Length + Length + false + 0 + + + + + + 13057 + 11683 + 41 + 27 + + + 13079 + 11697 + + + + + + + + Curve domain + 158ea267-9386-4068-9931-002185bc0bbd + true + Domain + Domain + false + 0 + + + + + + 13057 + 11710 + 41 + 27 + + + 13079 + 11723.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5e828d95-2fec-4583-aa06-a540b9e69323 + 915c57bd-c5d4-409f-8a53-59251156111f + c224342c-801f-4459-9224-44879ddf539f + cb4cf7f1-0485-4abd-9d98-0d91e11a6dc0 + 684f5a7a-2f03-46d6-a594-682e524e0f68 + 44d150f7-853c-4c6a-b89d-7b5e1cafb1f8 + 6860470d-e422-488a-9a4e-717f9040fa82 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + b3593429-13b3-486e-92c0-19c2f2f74760 + b42663bb-8528-4524-acb7-8ce856e76743 + 8a6b5972-ad07-4ee8-9661-d79409b7ca0c + 144184ab-677d-47bc-a4a6-010cda1cf2cf + 5aeed1da-374b-4672-97ff-7c101c45c07b + 3cfc6172-94c3-4f48-80d3-443b91211fe6 + 14 + 40e37398-63c4-4a61-8694-7bd0ef83882c + Group + + + + + + + + + + + 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 + 3efab561-d7ca-4b3f-8baa-e5c5274c459a + true + Evaluate Length + Evaluate Length + + + + + + 12956 + 11487 + 144 + 64 + + + 13030 + 11519 + + + + + + Curve to evaluate + d2477878-81ef-4d37-baaa-7d5cf23b6da1 + true + Curve + Curve + false + 3a3ee721-95ca-4efb-a962-55fa8532ee66 + 1 + + + + + + 12958 + 11489 + 57 + 20 + + + 12988 + 11499 + + + + + + + + Length factor for curve evaluation + 7ed5afea-433c-40eb-bcc6-b5d581843d06 + true + Length + Length + false + 0 + + + + + + 12958 + 11509 + 57 + 20 + + + 12988 + 11519 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 7201e51f-b26e-423f-9fba-73ec4ae70e6c + true + Normalized + Normalized + false + 0 + + + + + + 12958 + 11529 + 57 + 20 + + + 12988 + 11539 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 758debfa-fe92-41da-a901-79a73078298b + true + Point + Point + false + 0 + + + + + + 13045 + 11489 + 53 + 20 + + + 13073 + 11499 + + + + + + + + Tangent vector at the specified length + 1852cc4b-9d66-40bc-95bc-86a6cefddca9 + true + Tangent + Tangent + false + 0 + + + + + + 13045 + 11509 + 53 + 20 + + + 13073 + 11519 + + + + + + + + Curve parameter at the specified length + b6879775-27c3-4466-bd13-323abcc3ebbd + true + Parameter + Parameter + false + 0 + + + + + + 13045 + 11529 + 53 + 20 + + + 13073 + 11539 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 162dd3b1-5741-4663-a444-3fa31148c1ee + true + Mirror + Mirror + + + + + + 12959 + 11425 + 138 + 44 + + + 13027 + 11447 + + + + + + Base geometry + e44a26a7-33d5-44f1-91e8-0dc8c5bf82de + true + Geometry + Geometry + true + 3a3ee721-95ca-4efb-a962-55fa8532ee66 + 1 + + + + + + 12961 + 11427 + 51 + 20 + + + 12988 + 11437 + + + + + + + + Mirror plane + 894ed388-d662-4d2d-903c-a5663d446167 + true + Plane + Plane + false + 8c9840aa-59e7-4981-bd26-0f71ea929815 + 1 + + + + + + 12961 + 11447 + 51 + 20 + + + 12988 + 11457 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 10573088-5312-4ed2-9e0a-1ddee1cfcb60 + true + Geometry + Geometry + false + 0 + + + + + + 13042 + 11427 + 53 + 20 + + + 13070 + 11437 + + + + + + + + Transformation data + f8d8c15e-e22c-4f61-a460-61a9c4b3a191 + true + Transform + Transform + false + 0 + + + + + + 13042 + 11447 + 53 + 20 + + + 13070 + 11457 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 3aca04d1-98fe-4378-828f-c99301545001 + true + Line SDL + Line SDL + + + + + + 12975 + 11571 + 106 + 64 + + + 13039 + 11603 + + + + + + Line start point + cca9d8b5-256a-4d58-84ed-8404b3d5f2a9 + true + Start + Start + false + 758debfa-fe92-41da-a901-79a73078298b + 1 + + + + + + 12977 + 11573 + 47 + 20 + + + 13002 + 11583 + + + + + + + + Line tangent (direction) + 7d47557b-7875-4150-938e-e26318b0555e + true + Direction + Direction + false + 1852cc4b-9d66-40bc-95bc-86a6cefddca9 + 1 + + + + + + 12977 + 11593 + 47 + 20 + + + 13002 + 11603 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 0e720524-d593-4583-a3d2-a0b9cbf1c95b + true + Length + Length + false + 0 + + + + + + 12977 + 11613 + 47 + 20 + + + 13002 + 11623 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 8c9840aa-59e7-4981-bd26-0f71ea929815 + true + Line + Line + false + 0 + + + + + + 13054 + 11573 + 25 + 60 + + + 13068 + 11603 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + e67b0b22-5a9d-4a3c-a163-a804cde0e427 + true + Join Curves + Join Curves + + + + + + 12969 + 11363 + 118 + 44 + + + 13032 + 11385 + + + + + + 1 + Curves to join + 6809fdce-e949-4d56-8d22-c02db78b9f74 + true + Curves + Curves + false + 3a3ee721-95ca-4efb-a962-55fa8532ee66 + 10573088-5312-4ed2-9e0a-1ddee1cfcb60 + 2 + + + + + + 12971 + 11365 + 46 + 20 + + + 12995.5 + 11375 + + + + + + + + Preserve direction of input curves + 549ef6ba-1e6a-4a71-b8b5-2951147d0334 + true + Preserve + Preserve + false + 0 + + + + + + 12971 + 11385 + 46 + 20 + + + 12995.5 + 11395 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + b8d28eb9-5e2d-4c20-a201-0922264cabdb + true + Curves + Curves + false + 0 + + + + + + 13047 + 11365 + 38 + 40 + + + 13067.5 + 11385 + + + + + + + + + + + + 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 + 2a4d5012-04cc-4247-915e-1cbb81186d49 + true + Evaluate Length + Evaluate Length + + + + + + 12956 + 11279 + 144 + 64 + + + 13030 + 11311 + + + + + + Curve to evaluate + 775abe75-fef3-49f5-a175-af17e68c65f7 + true + Curve + Curve + false + b8d28eb9-5e2d-4c20-a201-0922264cabdb + 1 + + + + + + 12958 + 11281 + 57 + 20 + + + 12988 + 11291 + + + + + + + + Length factor for curve evaluation + 6fbe65da-8c89-49d0-907d-3bc03de64fa3 + true + Length + Length + false + 0 + + + + + + 12958 + 11301 + 57 + 20 + + + 12988 + 11311 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 27dbc873-888b-416d-bdf0-07300dee60e0 + true + Normalized + Normalized + false + 0 + + + + + + 12958 + 11321 + 57 + 20 + + + 12988 + 11331 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 4b5ad99a-cac6-4c83-990e-81e53e373ef5 + true + Point + Point + false + 0 + + + + + + 13045 + 11281 + 53 + 20 + + + 13073 + 11291 + + + + + + + + Tangent vector at the specified length + 31e03db0-1f3b-4b17-93bb-4a2197d8c5fc + true + Tangent + Tangent + false + 0 + + + + + + 13045 + 11301 + 53 + 20 + + + 13073 + 11311 + + + + + + + + Curve parameter at the specified length + 27483c7f-a0cd-4267-8d77-4a24c3452651 + true + Parameter + Parameter + false + 0 + + + + + + 13045 + 11321 + 53 + 20 + + + 13073 + 11331 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 8fa6f59b-258e-48ca-b17f-63e7e3b21bde + true + Rotate + Rotate + + + + + + 12959 + 11196 + 138 + 64 + + + 13027 + 11228 + + + + + + Base geometry + ae08b325-9e4c-4d61-a92c-1e1c3cccd173 + true + Geometry + Geometry + true + b8d28eb9-5e2d-4c20-a201-0922264cabdb + 1 + + + + + + 12961 + 11198 + 51 + 20 + + + 12988 + 11208 + + + + + + + + Rotation angle in radians + bd980afc-cbb2-4120-a4a8-f5e3775c1a1f + true + Angle + Angle + false + 0 + false + + + + + + 12961 + 11218 + 51 + 20 + + + 12988 + 11228 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 8d62c37f-d323-463c-9e42-17446fe6d82b + true + Plane + Plane + false + 4b5ad99a-cac6-4c83-990e-81e53e373ef5 + 1 + + + + + + 12961 + 11238 + 51 + 20 + + + 12988 + 11248 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 3736436a-e189-4cc2-a479-2bca159b09e3 + true + Geometry + Geometry + false + 0 + + + + + + 13042 + 11198 + 53 + 30 + + + 13070 + 11213 + + + + + + + + Transformation data + a940d540-b7b2-4d4b-8411-5a1a9238e3f2 + true + Transform + Transform + false + 0 + + + + + + 13042 + 11228 + 53 + 30 + + + 13070 + 11243 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 901e65d6-0c60-4242-bf8e-30887721e972 + true + Join Curves + Join Curves + + + + + + 12969 + 11133 + 118 + 44 + + + 13032 + 11155 + + + + + + 1 + Curves to join + 07438174-d3d1-43b3-b5c2-8a5207e492a4 + true + Curves + Curves + false + b8d28eb9-5e2d-4c20-a201-0922264cabdb + 3736436a-e189-4cc2-a479-2bca159b09e3 + 2 + + + + + + 12971 + 11135 + 46 + 20 + + + 12995.5 + 11145 + + + + + + + + Preserve direction of input curves + 502ede0f-9893-4424-a570-00cbfec07094 + true + Preserve + Preserve + false + 0 + + + + + + 12971 + 11155 + 46 + 20 + + + 12995.5 + 11165 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 150163ee-a573-4863-a15e-d9bc2329fa38 + true + Curves + Curves + false + 0 + + + + + + 13047 + 11135 + 38 + 40 + + + 13067.5 + 11155 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ca997e41-79d8-4e43-be24-c7b4c29481db + 3efab561-d7ca-4b3f-8baa-e5c5274c459a + 162dd3b1-5741-4663-a444-3fa31148c1ee + 3aca04d1-98fe-4378-828f-c99301545001 + e67b0b22-5a9d-4a3c-a163-a804cde0e427 + 2a4d5012-04cc-4247-915e-1cbb81186d49 + 8fa6f59b-258e-48ca-b17f-63e7e3b21bde + 901e65d6-0c60-4242-bf8e-30887721e972 + de53a182-560f-41aa-841e-a01c2e117edd + 0578316c-418c-4e89-95a7-dc9ddb5ba462 + 8f66ad49-6028-4a1b-8324-63844d87d550 + eb58ff90-1679-4c1c-9aae-21704022ebf7 + 5c8b78b1-f658-485c-9d77-edfdca1b886d + 075789cc-fd97-4a29-a0a4-8c0e2f794e3d + 168c86e3-663d-475f-a603-92ce0e6c763d + 15 + 8901b2a5-394d-440a-854c-9cfa8fe88dd9 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 52850b18-b739-4fe3-b12a-324e456a1b0b + true + Panel + + false + 0 + 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 + 1 + Double click to edit panel content… + + + + + + 12960 + 13770 + 145 + 20 + + 0 + 0 + 0 + + 12960.82 + 13770.01 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + de53a182-560f-41aa-841e-a01c2e117edd + true + Curve + Curve + false + 150163ee-a573-4863-a15e-d9bc2329fa38 + 1 + + + + + + 13009 + 11097 + 50 + 24 + + + 13034.4 + 11109.59 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + de53a182-560f-41aa-841e-a01c2e117edd + 1 + 8f5d54fc-e807-440d-a8ba-0e136be67037 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b42663bb-8528-4524-acb7-8ce856e76743 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 12814 + 13978 + 439 + 20 + + 0 + 0 + 0 + + 12814.38 + 13978.1 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 8a1219da-7568-4bee-a1d1-489d4d064c6c + true + Evaluate Length + Evaluate Length + + + + + + 12956 + 11007 + 144 + 64 + + + 13030 + 11039 + + + + + + Curve to evaluate + 92d44959-bc71-4fbe-9ede-87e14178003a + true + Curve + Curve + false + 150163ee-a573-4863-a15e-d9bc2329fa38 + 1 + + + + + + 12958 + 11009 + 57 + 20 + + + 12988 + 11019 + + + + + + + + Length factor for curve evaluation + 6eabb20f-922f-416f-91d1-5ee044d75abf + true + Length + Length + false + 0 + + + + + + 12958 + 11029 + 57 + 20 + + + 12988 + 11039 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + d37207f7-c60c-405b-bac2-bab0dcf75e92 + true + Normalized + Normalized + false + 0 + + + + + + 12958 + 11049 + 57 + 20 + + + 12988 + 11059 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 715d3228-557a-47d7-ac3b-0fdca9781950 + true + Point + Point + false + 0 + + + + + + 13045 + 11009 + 53 + 20 + + + 13073 + 11019 + + + + + + + + Tangent vector at the specified length + 4a79a20c-af20-4909-b577-06371b74c968 + true + Tangent + Tangent + false + 0 + + + + + + 13045 + 11029 + 53 + 20 + + + 13073 + 11039 + + + + + + + + Curve parameter at the specified length + 21591b2d-05f9-467a-9470-000d1effa181 + true + Parameter + Parameter + false + 0 + + + + + + 13045 + 11049 + 53 + 20 + + + 13073 + 11059 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 6b22260c-9522-4182-aec8-00efe0989f78 + true + Expression + Expression + + + + + + 12931 + 10785 + 194 + 28 + + + 13031 + 10799 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 50d5f3c6-77d7-4801-a27c-888dddfbe5c9 + true + Variable O + O + true + 8fe7987c-d7bd-4159-826a-37cf4a5c75a1 + 1 + + + + + + 12933 + 10787 + 14 + 24 + + + 12941.5 + 10799 + + + + + + + + Result of expression + 3f710ea6-bcf4-4622-b73a-df8a80b5ad8c + true + Result + + false + 0 + + + + + + 13114 + 10787 + 9 + 24 + + + 13120 + 10799 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + def5db13-812d-4a84-8f70-2fee3b6ea2e9 + true + Deconstruct + Deconstruct + + + + + + 12962 + 10919 + 132 + 64 + + + 13009 + 10951 + + + + + + Input point + 4752f94f-cf52-4ba9-8a23-256842dde942 + true + Point + Point + false + 715d3228-557a-47d7-ac3b-0fdca9781950 + 1 + + + + + + 12964 + 10921 + 30 + 60 + + + 12980.5 + 10951 + + + + + + + + Point {x} component + 8fe7987c-d7bd-4159-826a-37cf4a5c75a1 + true + X component + X component + false + 0 + + + + + + 13024 + 10921 + 68 + 20 + + + 13059.5 + 10931 + + + + + + + + Point {y} component + b5ad2314-7b8e-4475-b419-38a96c6f62f1 + true + Y component + Y component + false + 0 + + + + + + 13024 + 10941 + 68 + 20 + + + 13059.5 + 10951 + + + + + + + + Point {z} component + 520abc33-a013-47ff-8b6e-5b5a88804d59 + true + Z component + Z component + false + 0 + + + + + + 13024 + 10961 + 68 + 20 + + + 13059.5 + 10971 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cd7bd7ef-5792-4acf-ac07-684674ce7147 + true + Panel + + false + 0 + 3f710ea6-bcf4-4622-b73a-df8a80b5ad8c + 1 + Double click to edit panel content… + + + + + + 12953 + 10763 + 160 + 20 + + 0 + 0 + 0 + + 12953.17 + 10763.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 73efbebe-da42-4797-91d5-a45230a418ca + true + Expression + Expression + + + + + + 12931 + 10699 + 194 + 28 + + + 13031 + 10713 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 71febe23-baa4-4e14-9826-3901f5e01a33 + true + Variable O + O + true + b5ad2314-7b8e-4475-b419-38a96c6f62f1 + 1 + + + + + + 12933 + 10701 + 14 + 24 + + + 12941.5 + 10713 + + + + + + + + Result of expression + 7adf1ac7-1db3-4ff8-bc2f-7412a52fc615 + true + Result + + false + 0 + + + + + + 13114 + 10701 + 9 + 24 + + + 13120 + 10713 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f2a0f7a2-f430-40a1-926c-4afb69938381 + true + Panel + + false + 0 + 7adf1ac7-1db3-4ff8-bc2f-7412a52fc615 + 1 + Double click to edit panel content… + + + + + + 12953 + 10674 + 160 + 20 + + 0 + 0 + 0 + + 12953.17 + 10674.74 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 9a36eaef-3e40-4f52-ac71-623ea3dd3e3d + true + Division + Division + + + + + + 12987 + 10597 + 82 + 44 + + + 13018 + 10619 + + + + + + Item to divide (dividend) + c9db6ae2-5901-4366-858e-b35c9bf6cea5 + true + A + A + false + cd7bd7ef-5792-4acf-ac07-684674ce7147 + 1 + + + + + + 12989 + 10599 + 14 + 20 + + + 12997.5 + 10609 + + + + + + + + Item to divide with (divisor) + 265eca45-c17f-4e71-8a16-5762218afba0 + true + B + B + false + f2a0f7a2-f430-40a1-926c-4afb69938381 + 1 + + + + + + 12989 + 10619 + 14 + 20 + + + 12997.5 + 10629 + + + + + + + + The result of the Division + 956be425-65f3-4c07-8bbd-8e4c895ff4fc + true + Result + Result + false + 0 + + + + + + 13033 + 10599 + 34 + 40 + + + 13051.5 + 10619 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bfb59471-3c40-4fc4-9451-b25199c0640b + true + Panel + + false + 0 + 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 + 1 + Double click to edit panel content… + + + + + + 12953 + 10527 + 160 + 20 + + 0 + 0 + 0 + + 12953.41 + 10527.23 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 97373ad8-d4a7-40e1-b86f-3a8c7943c731 + true + Expression + Expression + + + + + + 12931 + 10550 + 194 + 28 + + + 13031 + 10564 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e2614ba1-8eaf-4a93-8082-9c19bbbbece1 + true + Variable O + O + true + 956be425-65f3-4c07-8bbd-8e4c895ff4fc + 1 + + + + + + 12933 + 10552 + 14 + 24 + + + 12941.5 + 10564 + + + + + + + + Result of expression + bb3d53e4-9d35-4bb9-9aa0-c9ae07dd7e8f + true + Result + + false + 0 + + + + + + 13114 + 10552 + 9 + 24 + + + 13120 + 10564 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7e1231bb-6067-4c0c-8c9e-00b69d5bfb71 + true + Relay + + false + bb3d53e4-9d35-4bb9-9aa0-c9ae07dd7e8f + 1 + + + + + + 13008 + 10475 + 40 + 16 + + + 13028 + 10483 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + b1c735ca-5069-476f-82db-a61298330b88 + true + Addition + Addition + + + + + + 12987 + 10412 + 82 + 44 + + + 13018 + 10434 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 93867321-205d-454b-9dc2-5fe472b7c788 + true + A + A + true + f2a0f7a2-f430-40a1-926c-4afb69938381 + 1 + + + + + + 12989 + 10414 + 14 + 20 + + + 12997.5 + 10424 + + + + + + + + Second item for addition + 2f0d7698-26d2-4924-9a9b-51a8150ed2b7 + true + B + B + true + cd7bd7ef-5792-4acf-ac07-684674ce7147 + 1 + + + + + + 12989 + 10434 + 14 + 20 + + + 12997.5 + 10444 + + + + + + + + Result of addition + d49965a1-c8f3-47b1-9120-607fccae8e2a + true + Result + Result + false + 0 + + + + + + 13033 + 10414 + 34 + 40 + + + 13051.5 + 10434 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 303287e2-db47-42d8-ab9a-cdb1cee3814b + true + Division + Division + + + + + + 12987 + 10262 + 82 + 44 + + + 13018 + 10284 + + + + + + Item to divide (dividend) + f4c7c5d0-4ef1-4875-986f-5be9362db6ff + true + A + A + false + a56987c9-5a0c-4c41-973e-58b2ff77fffc + 1 + + + + + + 12989 + 10264 + 14 + 20 + + + 12997.5 + 10274 + + + + + + + + Item to divide with (divisor) + 98ad531e-020b-4c3a-9987-e936a76b9f47 + true + B + B + false + 0 + + + + + + 12989 + 10284 + 14 + 20 + + + 12997.5 + 10294 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + c16878d3-e56e-4251-a868-a8b484184ed1 + true + Result + Result + false + 0 + + + + + + 13033 + 10264 + 34 + 40 + + + 13051.5 + 10284 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 7f194e45-9fbb-4b38-aaab-583c59ceedee + true + Expression + Expression + + + + + + 12931 + 10214 + 194 + 28 + + + 13031 + 10228 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 03b5db73-054f-4b85-a5ac-03c865422ba3 + true + Variable O + O + true + c16878d3-e56e-4251-a868-a8b484184ed1 + 1 + + + + + + 12933 + 10216 + 14 + 24 + + + 12941.5 + 10228 + + + + + + + + Result of expression + 1775e30a-c9c5-4710-8acf-5dcff6d23ec2 + true + Result + + false + 0 + + + + + + 13114 + 10216 + 9 + 24 + + + 13120 + 10228 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 327f272f-5bf3-4638-9fd6-29b2a9e888a4 + true + Panel + + false + 0 + 1775e30a-c9c5-4710-8acf-5dcff6d23ec2 + 1 + Double click to edit panel content… + + + + + + 12953 + 10191 + 160 + 20 + + 0 + 0 + 0 + + 12953.17 + 10191.09 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a56987c9-5a0c-4c41-973e-58b2ff77fffc + true + Panel + + false + 0 + d5c4e6ab-45a8-4840-b839-07156ae94256 + 1 + Double click to edit panel content… + + + + + + 12953 + 10343 + 160 + 20 + + 0 + 0 + 0 + + 12953.17 + 10343 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0b39b96b-83c9-44e7-9f1c-de7fc93311be + true + Expression + Expression + + + + + + 12931 + 10365 + 194 + 28 + + + 13031 + 10379 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 6f4e7cd2-639b-47be-b218-d6a099329782 + true + Variable O + O + true + d49965a1-c8f3-47b1-9120-607fccae8e2a + 1 + + + + + + 12933 + 10367 + 14 + 24 + + + 12941.5 + 10379 + + + + + + + + Result of expression + d5c4e6ab-45a8-4840-b839-07156ae94256 + true + Result + + false + 0 + + + + + + 13114 + 10367 + 9 + 24 + + + 13120 + 10379 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 4a8fc40f-d5bb-4256-90c9-d8031661ab5c + true + Scale + Scale + + + + + + 12951 + 10091 + 154 + 64 + + + 13035 + 10123 + + + + + + Base geometry + 7b12511b-5e0b-4065-9c61-db0a2be5d2a9 + true + Geometry + Geometry + true + de53a182-560f-41aa-841e-a01c2e117edd + 1 + + + + + + 12953 + 10093 + 67 + 20 + + + 12996 + 10103 + + + + + + + + Center of scaling + 0dcb39c9-84ce-4eca-8404-273701f1ff83 + true + Center + Center + false + 0 + + + + + + 12953 + 10113 + 67 + 20 + + + 12996 + 10123 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 2872bc84-ab45-44e6-83de-f83ffb72a08c + 1/X + true + Factor + Factor + false + 327f272f-5bf3-4638-9fd6-29b2a9e888a4 + 1 + + + + + + 12953 + 10133 + 67 + 20 + + + 12996 + 10143 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 077a50c5-4230-4e9d-88e4-e384003c5ace + true + Geometry + Geometry + false + 0 + + + + + + 13050 + 10093 + 53 + 30 + + + 13078 + 10108 + + + + + + + + Transformation data + 08a246e1-8400-4e1a-8550-f8b7850481a1 + true + Transform + Transform + false + 0 + + + + + + 13050 + 10123 + 53 + 30 + + + 13078 + 10138 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + f95a37a7-02ee-4695-8d91-4a88e8f95efd + true + Curve + Curve + false + 077a50c5-4230-4e9d-88e4-e384003c5ace + 1 + + + + + + 13007 + 9496 + 50 + 24 + + + 13032.15 + 9508.595 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 914c2f95-f40f-4ec9-92ad-a19618256d32 + true + Expression + Expression + + + + + + 12931 + 10872 + 194 + 28 + + + 13031 + 10886 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 71787e88-c0ba-46bc-856a-d53b8248c2c1 + true + Variable O + O + true + 520abc33-a013-47ff-8b6e-5b5a88804d59 + 1 + + + + + + 12933 + 10874 + 14 + 24 + + + 12941.5 + 10886 + + + + + + + + Result of expression + 72601e6b-5f67-4904-97c5-3fded82a6c38 + true + Result + + false + 0 + + + + + + 13114 + 10874 + 9 + 24 + + + 13120 + 10886 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + efe35352-6dd4-4382-bc7d-4163c1e963ab + true + Panel + + false + 0 + 72601e6b-5f67-4904-97c5-3fded82a6c38 + 1 + Double click to edit panel content… + + + + + + 12954 + 10848 + 160 + 20 + + 0 + 0 + 0 + + 12954.04 + 10848.94 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 040ab894-16a7-4940-82e1-b350e4dada1e + true + Evaluate Length + Evaluate Length + + + + + + 12956 + 9881 + 144 + 64 + + + 13030 + 9913 + + + + + + Curve to evaluate + fe1f1e92-78c7-4aec-9c8d-0d84bc10a616 + true + Curve + Curve + false + 077a50c5-4230-4e9d-88e4-e384003c5ace + 1 + + + + + + 12958 + 9883 + 57 + 20 + + + 12988 + 9893 + + + + + + + + Length factor for curve evaluation + 48a8f31f-819c-4e7e-9876-4bc76d3cdcf5 + true + Length + Length + false + 0 + + + + + + 12958 + 9903 + 57 + 20 + + + 12988 + 9913 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 19f1a357-d0d7-47b1-b70f-288fc63b075a + true + Normalized + Normalized + false + 0 + + + + + + 12958 + 9923 + 57 + 20 + + + 12988 + 9933 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8ea6c37b-ebca-47a5-81d3-d9112b152f94 + true + Point + Point + false + 0 + + + + + + 13045 + 9883 + 53 + 20 + + + 13073 + 9893 + + + + + + + + Tangent vector at the specified length + baf59b17-4e50-4dc7-896d-2d351aa7c3de + true + Tangent + Tangent + false + 0 + + + + + + 13045 + 9903 + 53 + 20 + + + 13073 + 9913 + + + + + + + + Curve parameter at the specified length + 45140397-bf48-487a-af15-b64fbf8147c4 + true + Parameter + Parameter + false + 0 + + + + + + 13045 + 9923 + 53 + 20 + + + 13073 + 9933 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1d37bbe6-c3d7-4338-8012-3e3131f52e93 + true + Expression + Expression + + + + + + 12931 + 9664 + 194 + 28 + + + 13031 + 9678 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 07efa00c-d36a-4c23-b1b7-49e32afac917 + true + Variable O + O + true + aae1a44b-611d-4e45-a51c-14913f4e033e + 1 + + + + + + 12933 + 9666 + 14 + 24 + + + 12941.5 + 9678 + + + + + + + + Result of expression + eadfccdd-a030-46b9-8508-0eb804259e45 + true + Result + + false + 0 + + + + + + 13114 + 9666 + 9 + 24 + + + 13120 + 9678 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + e6f0628a-91eb-498b-9037-e1eda68231cf + true + Deconstruct + Deconstruct + + + + + + 12962 + 9798 + 132 + 64 + + + 13009 + 9830 + + + + + + Input point + 9597bb42-c042-4cbc-94c2-00d76d742c82 + true + Point + Point + false + 8ea6c37b-ebca-47a5-81d3-d9112b152f94 + 1 + + + + + + 12964 + 9800 + 30 + 60 + + + 12980.5 + 9830 + + + + + + + + Point {x} component + aae1a44b-611d-4e45-a51c-14913f4e033e + true + X component + X component + false + 0 + + + + + + 13024 + 9800 + 68 + 20 + + + 13059.5 + 9810 + + + + + + + + Point {y} component + dca7155e-ff8e-4ea6-afd4-b82528685abc + true + Y component + Y component + false + 0 + + + + + + 13024 + 9820 + 68 + 20 + + + 13059.5 + 9830 + + + + + + + + Point {z} component + 26c55cc9-9452-4f22-b056-70d7ed6a2056 + true + Z component + Z component + false + 0 + + + + + + 13024 + 9840 + 68 + 20 + + + 13059.5 + 9850 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4b56d016-6f27-482a-b82d-25e4243c057c + true + Panel + + false + 0 + eadfccdd-a030-46b9-8508-0eb804259e45 + 1 + Double click to edit panel content… + + + + + + 12953 + 9636 + 160 + 20 + + 0 + 0 + 0 + + 12953.42 + 9636.515 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d46a4d3a-f49c-4ddb-a9e2-bef53b448819 + true + Expression + Expression + + + + + + 12931 + 9578 + 194 + 28 + + + 13031 + 9592 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 741633ae-5b83-4e17-a86d-4d489c57326a + true + Variable O + O + true + dca7155e-ff8e-4ea6-afd4-b82528685abc + 1 + + + + + + 12933 + 9580 + 14 + 24 + + + 12941.5 + 9592 + + + + + + + + Result of expression + 65249239-7981-494a-9736-325a91f60c37 + true + Result + + false + 0 + + + + + + 13114 + 9580 + 9 + 24 + + + 13120 + 9592 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7617170b-b3ea-4adf-ad17-80da8e4e2314 + true + Panel + + false + 0 + 65249239-7981-494a-9736-325a91f60c37 + 1 + Double click to edit panel content… + + + + + + 12953 + 9550 + 160 + 20 + + 0 + 0 + 0 + + 12953.43 + 9550.886 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3776ba36-dc6a-43e9-921c-90277b55795c + true + Expression + Expression + + + + + + 12931 + 9750 + 194 + 28 + + + 13031 + 9764 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d066fed2-7520-461a-b2ac-63ac842c6cd6 + true + Variable O + O + true + 26c55cc9-9452-4f22-b056-70d7ed6a2056 + 1 + + + + + + 12933 + 9752 + 14 + 24 + + + 12941.5 + 9764 + + + + + + + + Result of expression + 534b85bd-7d4a-4962-ab07-c330e7c72309 + true + Result + + false + 0 + + + + + + 13114 + 9752 + 9 + 24 + + + 13120 + 9764 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1fa63778-59d4-4004-a25a-c4b5189f889b + true + Panel + + false + 0 + 534b85bd-7d4a-4962-ab07-c330e7c72309 + 1 + Double click to edit panel content… + + + + + + 12953 + 9722 + 160 + 20 + + 0 + 0 + 0 + + 12953.17 + 9722.726 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8a6b5972-ad07-4ee8-9661-d79409b7ca0c + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 12851 + 14057 + 379 + 104 + + 0 + 0 + 0 + + 12851.82 + 14057.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f5daa0a5-064f-48e0-9aea-0037c20fcd07 + true + Panel + + false + 0 + 04ab288d-4bc3-45cc-811c-d34b82758547 + 1 + Double click to edit panel content… + + + + + + 12865 + 12086 + 337 + 276 + + 0 + 0 + 0 + + 12865.36 + 12086.51 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 91586ac2-1724-49d2-9bce-dcebd4685515 + true + Expression + Expression + + + + + + 12931 + 12372 + 194 + 28 + + + 13031 + 12386 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 5f1b1897-931b-483b-8234-360fc55eaae5 + true + Variable O + O + true + 289c80b2-fb40-41f0-a44a-49aa726014ee + 1 + + + + + + 12933 + 12374 + 14 + 24 + + + 12941.5 + 12386 + + + + + + + + Result of expression + 04ab288d-4bc3-45cc-811c-d34b82758547 + true + Result + + false + 0 + + + + + + 13114 + 12374 + 9 + 24 + + + 13120 + 12386 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + e1807893-da4a-4101-ac40-63126ea670f6 + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 13017 + 14486 + 50 + 24 + + + 13042.13 + 14498.81 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 8b503ea6-0c14-46fc-ae0b-7ae4ce6243b8 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 12859 + 12654 + 160 + 224 + + + 12927 + 12766 + + + + + + 1 + One or multiple graph curves to graph map values with + 4fa2478f-9a4b-4db6-a9c5-6c966e7c1b99 + true + Curves + Curves + false + 3027a71a-4635-4cc1-9aba-822a13b39df3 + 1 + + + + + + 12861 + 12656 + 51 + 27 + + + 12888 + 12669.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 3618134e-6ba7-4135-8fa9-d436948736c1 + true + Rectangle + Rectangle + false + 68944cdf-1812-46bf-be46-c932116d0309 + 1 + + + + + + 12861 + 12683 + 51 + 28 + + + 12888 + 12697.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 9126aadf-36f9-4561-8d65-d475abea382e + true + Values + Values + false + 98be2f6b-4af9-4e29-9c36-c475f903d3e3 + 1 + + + + + + 12861 + 12711 + 51 + 27 + + + 12888 + 12724.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 36539248-d205-4d9b-a7c3-625f5c3fa7bc + true + X Axis + X Axis + true + 0 + + + + + + 12861 + 12738 + 51 + 28 + + + 12888 + 12752.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 41a698ce-1495-4ffd-8c5e-a916b63d54b5 + true + Y Axis + Y Axis + true + 0 + + + + + + 12861 + 12766 + 51 + 27 + + + 12888 + 12779.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 562b20f7-852f-4e99-ab09-2f2502382860 + true + Flip + Flip + false + 0 + + + + + + 12861 + 12793 + 51 + 28 + + + 12888 + 12807.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 33486982-4fe0-4253-8a92-0527cea238f1 + true + Snap + Snap + false + 0 + + + + + + 12861 + 12821 + 51 + 27 + + + 12888 + 12834.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + bf67c405-eeed-4f32-8536-364fb03db725 + true + Text Size + Text Size + false + 0 + + + + + + 12861 + 12848 + 51 + 28 + + + 12888 + 12862.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 518cbf2e-6b9d-4f2d-a75e-28adad0f2df6 + true + Mapped + Mapped + false + 0 + + + + + + 12942 + 12656 + 75 + 20 + + + 12981 + 12666 + + + + + + + + 1 + The graph curves inside the boundary of the graph + e8affc17-f22b-40ce-8576-8a5a594267cf + true + Graph Curves + Graph Curves + false + 0 + + + + + + 12942 + 12676 + 75 + 20 + + + 12981 + 12686 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + cc7226a1-29c8-4de8-8333-80bbb138e0ff + true + Graph Points + Graph Points + false + 0 + + + + + + 12942 + 12696 + 75 + 20 + + + 12981 + 12706 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 866a9ee6-6317-4d70-96d9-e90b45017f6f + true + Value Lines + Value Lines + false + 0 + + + + + + 12942 + 12716 + 75 + 20 + + + 12981 + 12726 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + cdaea439-a304-4d90-a26a-4f6980e63010 + true + Value Points + Value Points + false + 0 + + + + + + 12942 + 12736 + 75 + 20 + + + 12981 + 12746 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 0d61d1d2-95cb-4845-b017-5bfbed6f57c7 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 12942 + 12756 + 75 + 20 + + + 12981 + 12766 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 4bcfb30d-a242-4a55-8df2-eb08fbae1459 + true + Mapped Points + Mapped Points + false + 0 + + + + + + 12942 + 12776 + 75 + 20 + + + 12981 + 12786 + + + + + + + + The graph boundary background as a surface + dada0a1b-08ff-49d1-b385-8db382e67aea + true + Boundary + Boundary + false + 0 + + + + + + 12942 + 12796 + 75 + 20 + + + 12981 + 12806 + + + + + + + + 1 + The graph labels as curve outlines + ecf6f6ee-1e26-486e-b690-693b18a49777 + true + Labels + Labels + false + 0 + + + + + + 12942 + 12816 + 75 + 20 + + + 12981 + 12826 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + d3ad9950-3376-4d36-80c2-3b2264aa5310 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 12942 + 12836 + 75 + 20 + + + 12981 + 12846 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 90c1f607-9c53-4da6-9ee7-0469533595c9 + true + Intersected + Intersected + false + 0 + + + + + + 12942 + 12856 + 75 + 20 + + + 12981 + 12866 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 4c64635c-1880-4b55-b09b-268462bf0344 + true + End Points + End Points + + + + + + 12980 + 13079 + 96 + 44 + + + 13030 + 13101 + + + + + + Curve to evaluate + 95f50488-10f7-484e-a0b5-579560c31b6d + true + Curve + Curve + false + 3027a71a-4635-4cc1-9aba-822a13b39df3 + 1 + + + + + + 12982 + 13081 + 33 + 40 + + + 13000 + 13101 + + + + + + + + Curve start point + e11c1020-6f9c-4b4b-b32a-4e7432b556cf + true + Start + Start + false + 0 + + + + + + 13045 + 13081 + 29 + 20 + + + 13061 + 13091 + + + + + + + + Curve end point + 2c689e04-8b3e-4699-8fea-3eb858e728bf + true + End + End + false + 0 + + + + + + 13045 + 13101 + 29 + 20 + + + 13061 + 13111 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 9b61b62d-1781-425b-8b1f-b7e73ef765da + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 12965 + 12977 + 126 + 84 + + + 13023 + 13019 + + + + + + Rectangle base plane + 982cf8c4-70ac-40db-89f3-2daa0d84d1ab + true + Plane + Plane + false + 0 + + + + + + 12967 + 12979 + 41 + 20 + + + 12989 + 12989 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + f8ca0306-4b17-4e0d-9697-9012293db9f6 + true + Point A + Point A + false + e11c1020-6f9c-4b4b-b32a-4e7432b556cf + 1 + + + + + + 12967 + 12999 + 41 + 20 + + + 12989 + 13009 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + d3c6c181-fc2a-4099-9f2a-d101aaa517a2 + true + Point B + Point B + false + 2c689e04-8b3e-4699-8fea-3eb858e728bf + 1 + + + + + + 12967 + 13019 + 41 + 20 + + + 12989 + 13029 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + a6e773b1-e585-41a8-b6b1-ea7c545e47d6 + true + Radius + Radius + false + 0 + + + + + + 12967 + 13039 + 41 + 20 + + + 12989 + 13049 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 68944cdf-1812-46bf-be46-c932116d0309 + true + Rectangle + Rectangle + false + 0 + + + + + + 13038 + 12979 + 51 + 40 + + + 13065 + 12999 + + + + + + + + Length of rectangle curve + d7eee376-4b6d-4ae4-bd06-cbf1701d31bd + true + Length + Length + false + 0 + + + + + + 13038 + 13019 + 51 + 40 + + + 13065 + 13039 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + 1ea137c4-3571-4d3f-8ceb-c0cae1c5bf1e + true + GraphMapper+ + GraphMapper+ + + + + + false + + + + + + 13019 + 12774 + 126 + 104 + + + 13086 + 12826 + + + + + + External curve as a graph + 727ae7bf-1ec1-4fa3-af7b-826a268bfc10 + true + Curve + Curve + false + 3027a71a-4635-4cc1-9aba-822a13b39df3 + 1 + + + + + + 13021 + 12776 + 50 + 20 + + + 13047.5 + 12786 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 0a48afc8-ba4a-442b-beed-57dc057b2657 + true + Boundary + Boundary + true + 68944cdf-1812-46bf-be46-c932116d0309 + 1 + + + + + + 13021 + 12796 + 50 + 20 + + + 13047.5 + 12806 + + + + + + + + 1 + List of input numbers + 4f3be92b-5577-4566-91cc-27bde2850f1c + true + Numbers + Numbers + false + 98be2f6b-4af9-4e29-9c36-c475f903d3e3 + 1 + + + + + + 13021 + 12816 + 50 + 20 + + + 13047.5 + 12826 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + dcda5c9c-309a-4247-aff2-4ae45831d040 + true + Input + Input + true + 5edc401f-3895-4945-8c2d-f590f40a1157 + 1 + + + + + + 13021 + 12836 + 50 + 20 + + + 13047.5 + 12846 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + d0fd23bb-d708-4073-a255-18d81d1c881d + true + Output + Output + true + 5edc401f-3895-4945-8c2d-f590f40a1157 + 1 + + + + + + 13021 + 12856 + 50 + 20 + + + 13047.5 + 12866 + + + + + + + + 1 + Output Numbers + 7d7aedd9-db8c-4bd5-a81a-047f433df72b + true + Number + Number + false + 0 + + + + + + 13101 + 12776 + 42 + 100 + + + 13123.5 + 12826 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 768840f7-01a4-42a5-840c-7347ebd0d7e0 + true + Stream Filter + Stream Filter + + + + + + 12994 + 12571 + 89 + 64 + + + 13039 + 12603 + + + + + + 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 + 6166dc6f-defd-43f7-a6e8-44add2a6f2fb + true + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 12996 + 12573 + 28 + 20 + + + 13011.5 + 12583 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + f801da7c-5486-4556-8b59-d119b984defe + true + false + Stream 0 + 0 + true + 518cbf2e-6b9d-4f2d-a75e-28adad0f2df6 + 1 + + + + + + 12996 + 12593 + 28 + 20 + + + 13011.5 + 12603 + + + + + + + + 2 + Input stream at index 1 + df064dba-cba1-43ef-bf05-e7111d9d3d52 + true + false + Stream 1 + 1 + true + 7d7aedd9-db8c-4bd5-a81a-047f433df72b + 1 + + + + + + 12996 + 12613 + 28 + 20 + + + 13011.5 + 12623 + + + + + + + + 2 + Filtered stream + 6189ad75-b660-4906-90f1-9c39628bb5af + true + false + Stream + S(1) + false + 0 + + + + + + 13054 + 12573 + 27 + 60 + + + 13069 + 12603 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 51067a14-7237-490f-9fc3-040d29b665b0 + true + Number Slider + + false + 0 + + + + + + 12963 + 12498 + 150 + 20 + + + 12963.79 + 12498.11 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 144184ab-677d-47bc-a4a6-010cda1cf2cf + true + Panel + + false + 1 + 5271eaec-cd7c-467a-8c30-e25fb7c6c83b + 1 + Double click to edit panel content… + + + + + + 12943 + 13273 + 185 + 271 + + 0 + 0 + 0 + + 12943.86 + 13273.37 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + b3593429-13b3-486e-92c0-19c2f2f74760 + true + Bounds + Bounds + + + + + + 12969 + 13218 + 122 + 28 + + + 13033 + 13232 + + + + + + 1 + Numbers to include in Bounds + 0015b70c-dfd4-468d-87fb-99e014ee25cd + true + Numbers + Numbers + false + 98be2f6b-4af9-4e29-9c36-c475f903d3e3 + 1 + + + + + + 12971 + 13220 + 47 + 24 + + + 12996 + 13232 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 5edc401f-3895-4945-8c2d-f590f40a1157 + true + Domain + Domain + false + 0 + + + + + + 13048 + 13220 + 41 + 24 + + + 13070 + 13232 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5aeed1da-374b-4672-97ff-7c101c45c07b + true + Expression + Expression + + + + + + 12931 + 13632 + 194 + 28 + + + 13031 + 13646 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9010cb48-bd4e-4a63-b04d-a245bcfe5d68 + true + Variable O + O + true + 98be2f6b-4af9-4e29-9c36-c475f903d3e3 + 1 + + + + + + 12933 + 13634 + 14 + 24 + + + 12941.5 + 13646 + + + + + + + + Result of expression + 5271eaec-cd7c-467a-8c30-e25fb7c6c83b + true + Result + + false + 0 + + + + + + 13114 + 13634 + 9 + 24 + + + 13120 + 13646 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 23855da3-6d8e-4093-a346-2efc4f3152ba + true + Expression + Expression + + + + + + 12845 + 13846 + 367 + 28 + + + 13031 + 13860 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3490f8c4-21a5-4afc-9b8f-38a1eb01d3f8 + true + Variable O + O + true + 44c8431b-375d-4ef1-a714-25316eb80b9d + 1 + + + + + + 12847 + 13848 + 14 + 24 + + + 12855.5 + 13860 + + + + + + + + Result of expression + bfc88b33-1d04-47f5-9143-8f3eff449d38 + true + Result + + false + 0 + + + + + + 13201 + 13848 + 9 + 24 + + + 13207 + 13860 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a90efd40-4b05-4533-9ad7-0796e67982a3 + true + Panel + + false + 0 + bfc88b33-1d04-47f5-9143-8f3eff449d38 + 1 + Double click to edit panel content… + + + + + + 12944 + 13810 + 179 + 20 + + 0 + 0 + 0 + + 12944 + 13810.23 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 1 + 312d6dd1-da67-4e61-a386-22acf74b4c94 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 9b6b10be-ffa4-4ec6-aca8-19b2c677acf8 + true + Scale + Scale + + + + + + 12951 + 10006 + 154 + 64 + + + 13035 + 10038 + + + + + + Base geometry + 151d7a80-24c3-4048-aaff-b2b431f2f260 + true + Geometry + Geometry + true + eb58ff90-1679-4c1c-9aae-21704022ebf7 + 1 + + + + + + 12953 + 10008 + 67 + 20 + + + 12996 + 10018 + + + + + + + + Center of scaling + fb3bfa56-e1df-4bec-a349-63e71237122b + true + Center + Center + false + 0 + + + + + + 12953 + 10028 + 67 + 20 + + + 12996 + 10038 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 762b0b43-6a37-48c9-9c3b-7084c65d47c4 + 1/X + true + Factor + Factor + false + 327f272f-5bf3-4638-9fd6-29b2a9e888a4 + 1 + + + + + + 12953 + 10048 + 67 + 20 + + + 12996 + 10058 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 232f379d-252f-43e7-8245-c76be464da39 + true + Geometry + Geometry + false + 0 + + + + + + 13050 + 10008 + 53 + 30 + + + 13078 + 10023 + + + + + + + + Transformation data + a8d3607a-e20a-43d8-9b74-1234afcc0721 + true + Transform + Transform + false + 0 + + + + + + 13050 + 10038 + 53 + 30 + + + 13078 + 10053 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + e1daa472-99c5-415c-bbc5-9bbba42f5076 + true + Point + Point + false + 232f379d-252f-43e7-8245-c76be464da39 + 1 + + + + + + 13008 + 9974 + 50 + 24 + + + 13033.15 + 9986.765 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 97652b8e-75f7-4d43-9462-ada2217bdd58 + true + Mirror + Mirror + + + + + + 12973 + 9366 + 138 + 44 + + + 13041 + 9388 + + + + + + Base geometry + f903c06a-5a71-4ce6-b138-0714a8d77d1b + true + Geometry + Geometry + true + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 1 + + + + + + 12975 + 9368 + 51 + 20 + + + 13002 + 9378 + + + + + + + + Mirror plane + 4880345a-79b2-4766-b881-912a835b3dd5 + true + Plane + Plane + false + 0 + + + + + + 12975 + 9388 + 51 + 20 + + + 13002 + 9398 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 05f9e61f-ab36-4bed-901c-3dcb092b801f + true + Geometry + Geometry + false + 0 + + + + + + 13056 + 9368 + 53 + 20 + + + 13084 + 9378 + + + + + + + + Transformation data + ef4a0067-2b47-4214-b794-d1fb39d784d6 + true + Transform + Transform + false + 0 + + + + + + 13056 + 9388 + 53 + 20 + + + 13084 + 9398 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 747334ba-25b6-4ffe-903e-79ffdb0809f9 + true + Curve + Curve + false + abd700e0-7272-4b12-b976-f23f6bdd2508 + 1 + + + + + + 13015 + 9266 + 50 + 24 + + + 13040.4 + 9278.774 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3027a71a-4635-4cc1-9aba-822a13b39df3 + true + Relay + + false + fa545612-c892-4dae-8055-7d5d9ab87323 + 1 + + + + + + 13010 + 13146 + 40 + 16 + + + 13030 + 13154 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + aa106f7a-3487-4f92-8b56-9d1b2d731d37 + true + Curve + Curve + false + 4a97c3c7-cd33-4f5e-9662-be9289e039f1 + 1 + + + + + + 12577 + 13542 + 50 + 24 + + + 12602.9 + 13554.23 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + fa545612-c892-4dae-8055-7d5d9ab87323 + true + Curve + Curve + false + c5102d30-88f0-494f-bc0d-055251f20f9e + 1 + + + + + + 12576 + 13252 + 50 + 24 + + + 12601.99 + 13264.38 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 644c7fe6-867c-44c2-a4cd-9a264adfb17a + true + Scale + Scale + + + + + + 12520 + 13285 + 154 + 64 + + + 12604 + 13317 + + + + + + Base geometry + 3aa5f8d6-fb60-4c88-821e-8a448ca812ec + true + Geometry + Geometry + true + aa106f7a-3487-4f92-8b56-9d1b2d731d37 + 1 + + + + + + 12522 + 13287 + 67 + 20 + + + 12565 + 13297 + + + + + + + + Center of scaling + 85e4680e-9ecb-479f-8f5c-4c12b5b07b86 + true + Center + Center + false + 0 + + + + + + 12522 + 13307 + 67 + 20 + + + 12565 + 13317 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 45337971-a0e9-43c0-86a5-4a629481b09c + 2^X + true + Factor + Factor + false + 46863f08-1441-425a-b843-5656270cea96 + 1 + + + + + + 12522 + 13327 + 67 + 20 + + + 12565 + 13337 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + c5102d30-88f0-494f-bc0d-055251f20f9e + true + Geometry + Geometry + false + 0 + + + + + + 12619 + 13287 + 53 + 30 + + + 12647 + 13302 + + + + + + + + Transformation data + 4ea7fb01-d083-41b4-b9e0-8c54ef6353a3 + true + Transform + Transform + false + 0 + + + + + + 12619 + 13317 + 53 + 30 + + + 12647 + 13332 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + aa106f7a-3487-4f92-8b56-9d1b2d731d37 + fa545612-c892-4dae-8055-7d5d9ab87323 + 644c7fe6-867c-44c2-a4cd-9a264adfb17a + 27899f96-8899-44d3-a06c-50d23c4c5623 + cc7b31a5-0379-447c-8885-33d3b801e4fa + 99ef6a4a-9efd-4801-aafd-77544814a52a + 78283bb6-5ad0-4b08-b77f-6203ce2f82c7 + b73a0dce-7bd8-477e-bf1d-e09a65723038 + 46863f08-1441-425a-b843-5656270cea96 + 82d97c41-4d45-4a35-bf34-867ab61335e2 + a0c8b687-11e0-4ade-8843-7ea40892af01 + 11 + a1747f74-e54a-46ee-bcfe-18698c9d98c9 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 8d228938-b7a0-485e-b640-49199a3a4d21 + true + Move + Move + + + + + + 12973 + 9302 + 138 + 44 + + + 13041 + 9324 + + + + + + Base geometry + 6c9fd734-53d4-4db9-9f91-2a14aff09f43 + true + Geometry + Geometry + true + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 1 + + + + + + 12975 + 9304 + 51 + 20 + + + 13002 + 9314 + + + + + + + + Translation vector + 4e80f37a-6bb2-49da-8246-ec6315413ac0 + true + Motion + Motion + false + 0 + + + + + + 12975 + 9324 + 51 + 20 + + + 13002 + 9334 + + + + + + 1 + + + + + 1 + {0} + + + + + + 15 + 0 + 0 + + + + + + + + + + + + Translated geometry + abd700e0-7272-4b12-b976-f23f6bdd2508 + true + Geometry + Geometry + false + 0 + + + + + + 13056 + 9304 + 53 + 20 + + + 13084 + 9314 + + + + + + + + Transformation data + 0fa38cb0-8754-4806-92c6-a44649d55bc9 + true + Transform + Transform + false + 0 + + + + + + 13056 + 9324 + 53 + 20 + + + 13084 + 9334 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + cc7b31a5-0379-447c-8885-33d3b801e4fa + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 12474 + 13498 + 250 + 20 + + + 12474.72 + 13498.61 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 99ef6a4a-9efd-4801-aafd-77544814a52a + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 12534 + 13377 + 144 + 20 + + 0 + 0 + 0 + + 12534.46 + 13377.09 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 78283bb6-5ad0-4b08-b77f-6203ce2f82c7 + true + Curve + Curve + false + 0 + + + + + + 12576 + 13209 + 50 + 24 + + + 12601.99 + 13221.38 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + b73a0dce-7bd8-477e-bf1d-e09a65723038 + true + Curve + Curve + false + 0 + + + + + + 12580 + 13679 + 50 + 24 + + + 12605.49 + 13691.33 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + zNxXWBNr2/jtKCIoKmADK1hBUQFRAduFFTsoFqxgQayAFcRCrGAFK2IDK4hCQu8k9A6hKIhAIl1q6F2+sNb15PL/Pse78229bHg6v5nJTCaTe+6lHovRj8Fg9Ip++uz7GdJf9MuOLUeOWliusDx50tJilvJ2s9NnjlpaLNGeo6k1Z66m1jwd0W80NDRnKa84d+LsudNmSyzMzp09vf/ELGXDcwdOHD243uzCVsvjZhZL5s+fO1dH00xX+6D2/PnztTQk+46i+M+Lz9E3szxpdvb0hTmGlicurDh3+rzZANFKqfP/Hmzw/tMHjxw9b6Z16OQgSyszC4tzpw+cGXBo/9n9fRtJS0v37ztPORUGY67Ix90yQwZJiH4j2/fLtxsMRv9Ou/6MpBv/vqeu3v6Mkfj+BDm5m/R/Z8tzyhhy1/tNFnq2zHToFq1/iNvKDWD8zx8h/Ff6t3P+Z5H8r2009P5VD12DGur1nWCP8n+f4Bh51r7NMjnynD//nuC6sRcU+k4wDreVk8AN+05U4j8f2/+fk/2vff/nDxtfi4smojw0B81DC1ABWoyWouVoJVqF1qB18P++hwa0EW1Cm9EWtBVtQ9vRDrQT7UK70R70D9r7n2un98+vTJTRD5dRRn9cRhkSuIwyBuAyypDEZZQxEJdRhhQuowxpXEYZg3AZZQzGZZQhg8soYwguo4yhuIwyhuEyypDFZZQh9696KBPlogx5XI8yUS7KGI7rUSbKRRkjcD3KRLkoYySuR5koF2WMwvUoE+WijNG4HmWiXJShgOtRJspFGYq4HmWiXJQxBtejTJSLMsbiepSJclHGOFyPMlEuyhiP61EmykUZE3A9ykS5KGMirkeZKBdlKOF6lIlyUYbyvyqjeqgpykTdUC4qQBmTcH9UDzVFmagbykUFKGMy7o/qoaYoE3VDuagAZUzB/VE91BRlom4oFxWgjKm4P6qHmqJM1A3logKUMQ33R/VQU5SJuqFcVIAypuP+qB5qijJRN5SLClCGCu6P6qGmKBN1Q7moAGWo4v6oHmqKMlE3lIsKUMYM3B/VQ01RJuqGclEBypiJ+6N6qCnKRN1QLipAGWq4P6qHmqJM1A3logKUMQv3R/VQU5SJuqFcVIAyZuP+qB5qijJRN5SLClDGHNwf1UNNUSbqhnJRAcpQx/1RPdQUZaJuKBcVoOJJC/nf8wz6Odcy33XMtlX/Ne9QF/IsPvWagIPlJeWC5QqL/9Pn/tMtwfnXiVfMXfPC/9On+I/PDu+1BtexZvlbyrf8j+3t4NaGNzxPt1Pi7Sc+Wy6Z2HsdCjrb3q067STefuo/r2MP02cVVJ9je4u3n5nV6ubTexeSZl3Wnv0uVby9xj+v7whSxzh504KqxNuPs9/2Jq33Ieg660tK1Eov+X+P+xheuIW5Oy1TifhPn/RR/UR071NQUTG35vquEm8/7Z/zcQalk9Un3JceEm8/PWbQwqBeF/DqPGt2seSaePtZ/5znS/i54lOdk+tb8fazf5VIfe19DZrNm3R2nuKKt//3+rjCh/T+hSorCsT9RW/RMV6vGwQtCxs/paRW3Mf+877egso4vcyPSR20/bDUzOTed9DuWd75ukxiqXj7f97ve8iZJ59b6TRE3F0mhOjE9X4AmYTXu75eGSHuI/+5Dh9Bc/rz255uY8T90axPrpzeT1Bjs/jKtz3K4j7on+vjDr3Tezhnjk0V9+uLHg8M7fUAj4PHF6f9URX31ui+6/YZeufYy9spzRH3I+uYJ/17PYEXeEBzxG9Ncf+e2Xc9v4DanuEzNIbNF/elO0/mePd+hb0dEv3KruqI+0dB33X2Aiun3esY+ovFXeLIrkWfe73hwT7l9aoaeuJuWt93/VkgP7x24ZYjy8V9V9iUzEw7NszbrrLELG2luPf753Nhw9OnB14kmuqL+4flLwZk2PmA6pK5L0umrBP3Zbf6Pi8fWBUyw2GC4kZxz0+S00m184V5i+pyLJQMxd1yaN/n6As3hRYf4lI3i3uXof3xJDs/yPAVfI9/YiTuN570fb5+sFnnvtx0m23iLpnX8ybezh9WaEe2PLPeIe5XxvV97v4gMIuYmfZ4p7g37DubFWMXAAdsc4wupe0W953v+u6HAJBS2zjKeNo+cQ8pq5KMsgsECefgQYM3mYq73Iy++yQQUsev6tB02S/uxif260baBUF3v1NfLjcfEPeXrL77JwjYk/Y3rjY9JO7pjbknwuyCYcCOhW4VBWbi3jy/774KhpGXJ9mHHDMX9yEXNrkF24VAt8WiC6MHHxV3hfC++y0E8qS81hiHHaPz7I3NDrALhYTJLxPyrpwQ945lffdhKPx6MTOxYauFuGfcWCTlZxcGrtP0HvyZaCXuzxL67s8wuGpvun7mhFPirj/YdyHbLhzcBA4DZkw7Le6/NvTdt+Fw903KOxXtM+J+zFHVwssuAtLmLJI1Mjr71/3fdz9HQNuf33PzLpwT95kjXd962kXCw0tVrSWe58X98Pa++zwSZo0yWPm+3Frc7Z+P+uZuxwGjBTMHrJh9Qdzv5ffd/xy4v/GBkvCKrbjrDlt9Iwu4YJV43y7350VxH8fq+15w4erIRUOnr7ws7nUG/SZmcriw3tXDRzr4irh7C/u+L1zQON488/s4prjveRgelAFR4DrCvuHNL+rtmn3foyiItBs16ZzXVXG3y7LenM6Jgi3lqnMs7a7R/XC67/sVBROvrLv/fsd1cd88Qqs6FaKh4rKEn+qCG+L+3K/vexcNZ8YXjhg17qa4xxvV3UjhRMNNJ9OpdgNviXtRU4ro+xgNpXIKOy+3U//5+PPEZIgBo5zb06c32It7pFbf9zQGnOWX93MSOoj7zexDwYmcGDjVm7g3s/W2uGuc6fv+xoBnjjubMeCuuIcPV96SALHQm2BuMU/xHn3uvn3f61hYJPdI5rrWfXG33vyzOo4TC+NKWd39tz+g8VAYLPq+x8JB23WByXaO4u7p+OxmLMRB3Y1z222MncT94Zy+cSAO3A7d94xrpm6YtlkphhMHX6x9HuY9eSjuv4/3jQ9xYLlz+upwnUf0fR88NCQK4sHgo0b/SwLqbh5940Y8fG4dyZhy7zFdt9WJW7iceCiqVLANX/RE3FmlH0XjSTxsUrjiaVRP/fS16zWRkAB7JtxLafr0lMY95b5xJgHMnt1S8DjwTNyPRiy9FcFJgLQJvokXJzuLu/OuvvEnARo2GY2xLaf+uK1DKRwSYVac9wpv7+f0vp70jUuJUDVu0LUpF13EvUIjICSUkwiX6j4NK1v/QtyXpD0SjVeJsC4vdcof5Zc0rh61MgqBJPA+y+m60El9gWTfOJYEsiYxvIN5r8Q9x02tNoiTBJFzJxTGh74Wd63FfeNbEqjeld/t/fYNfV655bcCIRneSJTdmHbfVdynn+4b95IhdpxF8sulbuIePOSdcgAnGSb+el3cFkyd4W4nGg+T4Z7SVI+v89+Ke6/e3lA/SIGoqVOCOf7UWfkLReNkCpgtjWAtWPCO5hVnFbf6clJgVujIWQqh1KcN7Rs/U4Bbtj75sN57cS/5mF3LhlTIGnZTRS2J+salPqJxNRWGXC8WHN36Qdz3fX9gz+KkgpLTrceqxdRHWpwQjbepEHT9ccGJ0x/F3Upy3SRvSIOrX9R2Lpb8RPOQVyqicTgNNLad+vTqBfUBWpJhXzlpYJZ+a//jue7irpNULBqf06Dw0AOV6WnUpU24W79AOsw/7Pl01zEPcbdofi0at9NhinLPmgWDP4u7+e2LdZ856WAo8CiK/Eq9dcJO0XieDsebM5o6NnuK+zDfBQ4ekAHjPJ9Mq+2gHrRqpGicz4DhBmPk33z4QvdnXsMkd04GtGgwjYZv+UrP3+MZovE/A2xeV9826O8l7lVXvhdmKfFgYfHlzbsDqCfqrxI9F3jQuGGn/qLj3uJ+UM5/ZpYJD1aquUm3TGGJe1jeZNHzggeFyWfnPuBT57k9tM505YFfeLfGQAO2uLseYYieIzxYsVz1RSiL+jQNy1genwcd4zdNqZD3EfcDbYWi5wsPPpzpffHgHPWtkRvkeUqZMPZkWoZfPvWeG2Gi504maGmsddq5zFfct6yfuS/DJBMiSiS+XPtMfY+8i+h5lAmPvR/UaY7wE/fhuVJf0l0z4UaQ7YxjV6ifeXVe9JzKBLNpO2fOqaZ+bX9ZWxo/E4YqhXGYO/3pOTt9q+j5lQkbUjSDDyVRf1oVvTJNKQvaDDcVFywMEPcX3pqi51oWFH9/O6TGi/qS024PU02yQHA9QvLp5EBxvzVfVvS8y4LYK3Nf5T+nfrL9clGKaxaY1j18w5ELEndhaI3oOZgFDh0nfq6+Q13u8m61FH4WyCZsnXRGMpjuh6XJoudjFsRdzl+qf426IkPXJlkpGy6vdOwfzwgR926uu+i5mQ1Dlg9Y1Mikfv7q6Lgkk2xY+jo5ML1/KD33l90UPU+zoe7SmZX7blEf1a9ZPsk1G4qlnHzfy4SJ+2LuAdFzNhtaDvlkvH1E/feVzH2J/GxoDD1ybPe4cHGftERP9PzNhq8a+puzP1Lnd3p/SVDKgZaawi1D5kaI+/jgCaLncg68Gh25ZBCXetHZe+3xJjlglWMjSDWIFPcJml2i53UOLN/oOmjXL+o/ao6uinfNgTL3aHu/sxxxl/XIEz3Hc+CRZOjIugFcmg8c0H8Ux8+Byk3v9h03pC4YHyh6vufAnphi6exX1M99n8qPVfoGxq0xttOrqF9wfCx67n+DpRcfjDPXiRL3av3+s2JNvoFt2Z0tz+ypJ/VaieYD3+BUYj/7gFzqw4L4NjGu3+BO0CLleNVoeo6c3CSaJ3yDWauv3kyypR47JSIumv8NIqXGTYxKoz73h5po/vANPjlu3uw9KUbcu+6/GB6t9B3Wnzp569F56pOWDxLNK77DSL2gqZap1F1arE2iTL6DmaP141VTYmle7VEumm98h3eNrboKF6nf37XtK9f1O+j2XLYry6beLRMrmod8B4fl21J8ZseJe0j43A4O/zu0b4u7cdmBeviJt6L5yXeoSR49Yl0p9cHj5VZzlHIhbd6jQsVl8eL+LPmKaN6SC93Tmeur31A/aFP7KNIkFwTzZsRG91C3nLZHNJ8R9YZv3m57E8TdJzOZH+GaC8YN6advRVJXu6wrmufkQkj8Hutzyoni/l3FY1YEPxf2SiZOsbxO3TdztGj+kwveejv5Zyuoh9nevBCulAcyQ3bKO2xIonn+5GbRvCgPfnbKTvL0pa6XfCA+zCQPrrvFnysYk0zXxypTNF/KA1OnuPPK16gbjdYbEeaaB0V7t921rqYuGeYtmkflwfZXkWNLtqWIe8a+Caah/DyYz19771AUdZ9+90Tzqzz4FgL6PbNTxf3N+86vIUo/4DWn0tf7JfUXK4+K5l0/oPb6/QW2g9PE/W1pbkewyQ+Y+eK87n5b6t7XV4vmYz+A/bRmslk19bBJAauDXX9A2SCdXfZ708U9LnKKaJ72A2bdebs6iUc9bdejx0H8HyD4fMpg1qoMGj9bGKL52w843C386RNKPcjRUhColA9Og/0/eynyaL6qWiSa1+WDf4zjsKdbqZtwN8wONMmHLU3qPNmH1IfuCBPN9/JhXInOu4np1N/VzLANcM2H0IJNOtEymeI+4upz0TwwH4pnjF7dtZb6vpFSCf78fFg+Ussu2YH6tU/nRPPDfLhbttZZI5H6Oe3SEf5KP+FYxZ9lc6SzxF07YYto3vgTHh5snRu7hnrctihTP5Of8OV9zoSm29RHlqiL5pM/4XjDksCwFOqzLN94+br+hMvPvrMmDssW9/aOIaJ55k9wKlgeOX4z9avXL3b68H/CtqEqTwOfUOfIVInmnz/h/GmVypo86l8eGev7KBWA+7bKY9wJOXSfKyaI5qUF8JAxLFPzIPUrr+Y/YZsUQGn44vRln6nvUfogmq8WwIYcxdEN9dTz3Yb/YrkWwGWn1Xv0tL+Je43yVdE8tgDGLjq2VcOO+hPX+tksfgHkT1D1jUqgnjx+n2h+WwDm16bOaJH7Lu53nqfaeisVwjFfiZMpu6inD18kmvcWgnPbUc1VH6k/vfs5wcukEJ687JpxUEg9r7+iaD5cCCMr9wyevjhX3O/Z3Brp5VoIYdPn3nrgQD2opjn0K6cQlrxV2vz6G/U1Jgf3f+UXwsq3SRONpuSJ+2pepmj+XAi2Vjnv2KeovwU97y9KReBgXOoUyKW+z8tbNK8ugpnvX78yk/sh7ifGTOjyNCmCHy4fLkSaUs+6flc03y6C8luvf0b5UL9S06Hv6VoEb3xmnbeSyKfno9ER0Ty8COxOtHYnb6POCv7+5DO/CAwEb6ZkeVBXGb9KND8vgpOZya9vdVPPuuz3y0OJDw6c8Uq/DX/SeFU4STRv58OLt7C78yP10EVOczxM+NDve6RkWBf1385/ctzt+LDy08sstS0FNG9sPHHR3ZUPBfpKZzd+pv5+3U/RPJ8PB7f1vFPuVyjuU96uTfzE50NxZVvvx53U1W5U/upq5oPUWSuJSU+p72sJEv13AR9e62426valLm11Z1yvXX/mf5b/D/1DiP/+i49/j4QqoxqoHmqImqJWKBN1Qt1QNspFeagAFf7n+Jp4fFQZ1UD1UEPUFLVCmagT6oayUS7KQwWoEGXMxeOjyqgGqocaoqaoFcpEnVA3lI1yUR4qQIUoQwuPjyqjGqgeaoiaolYoE3VC3VA2ykV5qAAVoox5eHxUGdVA9VBD1BS1QpmoE+qGslEuykMFqBBlzMfjo8qoBqqHGqKmqBXKRJ1QN5SNclEeKkCFKGMBHh9VRjVQPdQQNUWtUCbqhLqhbJSL8lABKkQZ2nh8VBnVQPVQQ9QUtUKZqBPqhrJRLspDBagQZejg8VFlVAPVQw1RU9QKZaJOqBvKRrkoDxWgQpShi8dHlVENVA81RE1RK5SJOqFuKBvlojxUgApRxkI8PqqMaqB6qCFqilqhTNQJdUPZKBfloQJUiDIW4fFRZVQD1UMNUVPUCmWiTqgbyka5KA8VoEKUsRiPjyqjGqgeaoiaolYoE3VC3VA2ykV5qAAVoowleHxUGdVA9VBD1BS1QpmoE+qGslEuykMFqBBlLMXjo8qoBqqHGqKmqBXKRJ1QN5SNclEeKkCFKAPw+KgyqoHqoYaoKWqFMlEn1A1lo1yUhwpQISr+V5tk3zzjf5vY6PvFXFaVFIB6r+b7XB71aVMfD86WFcDOO4v5SUOK6A+sNiQXZikJYM3zW/uPmFNPONPPJ0tdAH/UauVDoqmPf6FzIwsEcFDN2yBsIl/cT3Esd2QZCCCha9QBi4vU40s+zcwyEcAT85/PMvOoj5Mq6sm0FMCnR3/Gnx4nEPeTM0ZlZtoJQK26LSVrHfXIdRs+ZDoKoGzZjSt3bKkPOn7dOtNVAN+2Z+U/96S+5U7oukyWAKoSZO178qk/9WiYkMkRwAPmsRnBMr/EPSdOtYGXIYDXO+SOJC6mPqjYJJbHF8DKGeq/Z1tQX9zzzJlXL4CLvOYtla7UDymkH+P1CmCzquP6tkzqtzQkl/Jkf4HEkFkXdg0oFveXaxbL85R+wYPtHVfltal/MTlTmqH+C6Bk6pDxx6h7nfMMyoBfMPp+QcSF19Q97vy6k2HwC1aqb1oyM5P60zeK+zJMfkHVB3eN2ZIl4m7tY6CZYfkLRiWNXnpNl/rGmFsDMux+wQDrJJkZFtRH50Tkpjv+gvjbtTDpPfXskmbPdNdfcKuAzTyWR53ZqHYlnfULdq1bdnbAsFJxn8w4uDmd8wvOe6dy61ZQ9x/yYmp6xi+oKGEOmWFLXVsxsy2N/wsK4+72+LKpf5ksnZJW/wss1MctvFdBXX4WvEnrFZ1n154j/hPLxN183vlTabLFMHig3Ry17dS/LvJamaZUDJtmsOYK71PnLytVSFMvBrbeuHES8dQH6o+rToViOKPScP/gH+pj1m+JTDUohgfB+zTltcvFfcKm2w9TTYoBMh5+kbGiPsyQeyjVshherw5+t+Uz9VrDNu1Uu2LI6OgNLyumHmE4RybVsRjaY565xY6vEPeLBmZFKa7FoM30bKrbTl1l4yufFFYxeA06uufQQ+rRa7NvpHCK4c4ixtWpqdTXrhpsnJJRDJnC11LqUpX0BwuwTC2FXwzhA6yeXV9OfaquzZ/k+mI4veVD9qQr1K01WZnJvaLrHHDEbFAo9SDV8g/JsiXwTqq6QbeVevnECTbJSiVweNpOJb+5v8VdYuTW9cnqJXDmt+DxWUvqw6TvTkyGEmiaw265/JW6dFdUQ5JBCfTPbK5K/01dWNMem2RSAsmeBWPMVapofCtUf55kWQKmzk9VV5tRv5N2+HiSXQnUnNoYcfw9db3w10uTHEvg06i5V3J/US/5nCOf5FoCTntPyd9WrqY/OHomU5bIKoFfU3UnME2ot15dHpzIKQH26iD98DfUj564cDcxowTmvxmjvaSIesI29r5EfgmcHvjgYf+JNeI+dmmFZmJ9CXjtWt4js4/6nmkTJRN7S6D53CHlnW+oO8psy0uQLYUzWpPf/i6i7iO8+yVBqRT0LD5Pi1CqpePmRF9JUC+FR/1Ut2abUk8N6ticAKVwMTElS+0d9XgXjWkJBqUw5020fnwJdR9b8/Z4k1KI3btw57tpdeJ+f9eblHjLUthRbOrFMaduqvvtTbxdKcyQOlQ1wZP6VIUhp+MdRefpfiowvIZ6YdPyVfGupZD+OijopXq9uN/OuKAYzyqF+riDT0JPU5/tya6O45TCt873jYqB1OOuV0TGZZTCc4VPNoEd1Dfvmfgojl8Knl3rDydNFIp7rtY2s7j6UngbapT8XY/61sH3dOJ6S2HxgquLJA5ST+BHy8TJloHsnup7m25S1/LvKIpVKgOvMZ8fBrtTf26v4RurXgYf9mSOX5ZMvW2n+c1YKIO7wy/2q6yhbqj2xjjWoAyaVCOGe8k20B+kdOWoxZqUwcn73lOc5lJvSJbpjbEsA4fZh6UebqO+2GV5VoxdGRS1djqxbKjfOHzhY4xjGfR8v/64+iX1pLlsmxjXMjgXplC8kkN96J/y9TGsMih4mGYQVkzdIHGCUgynDLj64axNAxvF/eHDrY3RGWUQnNyZ82cG9Zydd+Oi+WWwXdrtUcpG6qMnRT+Pri+D6XXRYf6nqO+paD8e3VsGCUdtp4Q+pf7xqzpEy5ZD1JHCVz9DqDdYHR4erVQOHnn9uxSLqK+Y97osSr0cRrj3kz/dv4k+l9bs4CgoB6cooU/5dOotQYPvRRmUg9+oCvb59dR32iwziTIpB/mHXYJJVtRjtW3mRlmWg86kVaMqn1DXafWWjLIrB45fvnJSCPVAv7I8rmM5zF+Q/T22iPpSq/Ffua7loP5s1eCfEs3inqVmZMdllQNErXkgM4P6mfLbW7iccmj/0DR/+ybqU9y407gZ5dA4Z29O6BnqfOO2dg5f9L42vFqs60LdW25OKqe+HAqqE5ZlRlK/k3DIldNbDs0drYHXSqnbXn55miNbAc8P6VluHNwi7pfmZq3iKFXAtjFhSzQ1qDuVS4/hqFdAhOSVltnbqYe6QE0kVMBhBbejKy5R71p/nhNpUAHli3ROnnpH3bDn66NIkwqIN92bHZRIPcqrxCzSsgI+nZluObqe+pq9Y3Uj7Spg2AHPEfdHtYp7lczmIZGOFeA8hvFk3GLqHiH2/AjXCsi0XxoTdYD6jcORvhEs0ft6cems3W3ql4a33IzgVABraabtVjb1xxFqOyMyKuD8AaPPernUk8wPzIrgV8DipjHZK/5QnyLv0hteXwHPihal7J3WJu6vQzKywnsrYPRw3qEHG6gv2T/wU7hsJRhcrD397Qx1hvSSC+FKlfBN6kvi3JfUq73ObAhXr4SlH5V0P0VT79riqRQOlTB62QFn9Srq2m2CxjCDSuhIvB2YLt9O89sXCvFhJpVwdqbX0eu61Gcu2eQSZlkJE41Krm/cT7286MaJMLtKuK2xIm/Wbeo8uzAIc6yEtewS3Uk+1KuUGoeHuVZCM+fnxZk/qGtxVMtDWZWgsHH5qTX9OsSdtdckJJRTCRtXzam1nUF9X9fTe6EZlTD9WWB01Gbqy5+nmoTyK2H+7MbY8bbUd8+T0AqtrwS59rb4u++oe2XoDgztFZ1nadHLYSnUtY9Z/QiR/Q3n+BGjPzZR75Jw/xqi9BtUcr8MNhjfKe7drwrtQtR/gzCYs27IKuo680cahcBvOHpazrPgJHX/1HXTQwx+w9QG/y7OM+pWB692BJv8Br/JscMDOdRPdASlBlv+hi/NW6MjK6l/fVDnGmz3G1y3Xin8Id8l7hpTpp0JdvwN0zV2aEstot4ZuHt1sOtvyDzb+m71IeqD1z0aE8z6DVpyZ5qc71M/VJBYE8T5DeX1JV2dgdQHWfRygjJ+g3U/U0dLAfWOP/MfB/F/w5W5f5gtg7rpejqeOBxU/xvuWn17f0+LeszE97pBvb9B+3N38ry91N28fgwJkq2CEcl3kmpvUc9YJCcIVKqCAO6z00Fs6luSVvsFqlcB21bb5WE+ddXtl28FQhU8L7sud2lAj7jvKPbbGWhQBRL1j76cn0O96GTVrECTKrh+4+KSq8bUOe3KjEDLKvB+vNXl5TXqndd2ZAfYVcHIwfMfxX2l/mTIg08BjlWw6ZtW15/v1O8+jb0Q4FoF9cXm7vr9/oh76YSuDQGsKrinXHnUVY36m4+aygEc0fu9mDJq4HbqEbOONPlnVIFUseqVi0zqy/zexPvzq2DoMoXzvZ7U1XS/ufjXV8GBW168h9+oX4mUOenfWwXPXPvvn8voFfdFK5br+ctWg57t7E7BTOpmCTYj/JWqoVlileXrbdS717HK/dSrYfVM08fmTOoS6WUhflANyflPdeEL9YuG4+/7GVTDKImeeVO/Uz+UtcXUz6Qa9q3ZPusugyH++5hYo9tafpbV4BlcGDZ4NPUXOZyBfnbVoL3WzddJjXrF1tYfvo7VkGU1o3P8MupeObO8fF2rYfmnAZdY26nXGx1k+rKqYZtpxKQ1J6izslyMfDnVkD2Kn1N+lXqdIW+6b0Y13FrScuWu81+vnz6w04dfDQs33R20wOuv11+/JM2nvhpCImftK4+mHpB4xs2ntxpSJM0Ov8qj3m+V5xkf2RpY8oIjY1xH/TtXsNpHqQZ+NCZojxnQT9znLVYY66NeA0dvDcrhj6E+IWhjLRtqIDBFNvmLOvVHmje4bIMauKd7WOLyKurPv4Q+ZpuItl/9/KjRburq0xoOsy1roPuoZvmcU9R3vFFZyLarAbWxEQdk7amPUtg3lO1YAzLp8YnNr6gfdXwiYLnWgHn3j358X+pbpVL8WKwaGDL+WltaIvX8K/3sWZwa4L5f9ziqiHp3i/YuVkYNbB7MiQxpph52wmI2i18Dt+OPHQwc3F/cx5R8YLDqa0DT4MexIGXqY3f+zPburYER455Fhi+gHpku7+4tWwvdbrPWxG+gPnDlGltvpVoI2KHakH2AekvwlY3e6rUgFTjyfZkN9QezA5S9oRa4cy/rdz2gnvm2usnLoBbcV9YmjPxIPWrU5AQvk1pwOCAcOjeMuslt4xdelrUwR2K4hFEmde/uBye97Grh4OtCJ+sK6izLOD0vx1podC9yc+2hfqi4a4SXay28d3EbnzJCQtwzts6t+MqqhZW/vWs7ZlBvjD8S+pVTC6+GPu1R0/trex3X+18zauHC5aL5+7dTP+L5zfQrvxY+sEYzXU5Q54wbMu9rfS1UjE2Ky7lG/du95VJfe2th6IKrwuEu1L16bPK/yNbBL+vk30Ys6mssWF5flOpg1g6Nl85x1D8XlTG/qNdB+LqldYU/qWduGr/1C9SBUZJd6vRG6tGRW1S+GNRBzlqm0mnpAeJ+Zc7tTk+TOvBfnsLjTKQu9YaT5mlZB91qNUmy86mbDm1187Srg1xri+b966nfuTTrrKdjHeh7F+oG7qduX31A39O1DvIl464PsaFuvMtlrCerDsaWscMOPaDem5hR+5lTB4NWzkiJ/ED9qvbAqM8ZdVDwIf7l2DDqBR8XP/nMr4MLGSWjbTKpjxp5xvxzfR1kVUVNz62gPuva54Wfe+ugbfdqX+0/1KcI+UM/y9bDBQ3+V5eRknQ+e0f/8lCqh9inWj+7Z1IPTNng76FeD1sfXmbvX0bdRve6vQfUw12P0yPjd1Bf4B6yy8OgHkpC457NtKDeMlI428OkHobFtcg53qAecG16Pw/LekhpNrrf9IL6GeGeHHe7ejjzbPwgYx/qc/c9dnd3rIfv64beDE+g3pCSZOvuWg/my5sYk4qos3UZm9xZ9XB9bMGlm83ULd0XTHLn1MPK2bHtvwcPpPFw1MnmTxn1UHH269lNk6jXXnuf8IlfD3u9nwh9tal/Ff548am+Hj5UXzqhsIn61VIPlc2d9RA34uRIyb3Uj++Ts/jUWw81KmaVFw9RLyhYVPh/9B9C/PdffPyDNCqHKqLKqCqqgeqgeuga1BA1Rk3RI6gVaoMyUQfUCX2OuqEeKBsNRrloIspD81ABWokK0fb/vP9l/yqNyqGKqDKqimqgOqgeugY1RI1RU/QIaoXaoEzUAXVCn6NuqAfKRoNRLpqI8tA8VIBWokK0HWUs/1dpVA5VRJVRVVQD1UH10DWoIWqMmqJHUCvUBmWiDqgT+hx1Qz1QNhqMctFElIfmoQK0EhWi7Shjxb9Ko3KoIqqMqqIaqA6qh65BDVFj1BQ9glqhNigTdUCd0OeoG+qBstFglIsmojw0DxWglagQbUcZK/9VGpVDFVFlVBXVQHVQPXQNaogao6boEdQKtUGZqAPqhD5H3VAPlI0Go1w0EeWheagArUSFaDvKWPWv0qgcqogqo6qoBqqD6qFrUEPUGDVFj6BWqA3KRB1QJ/Q56oZ6oGw0GOWiiSgPzUMFaCUqRNtRxup/lUblUEVUGVVFNVAdVA9dgxqixqgpegS1Qm1QJuqAOqHPUTfUA2WjwSgXTUR5aB4qQCtRIdqOMvT/VRqVQxVRZVQV1UB1UD10DWqIGqOm6BHUCrVBmagD6oQ+R91QD5SNBqNcNBHloXmoAK1EhWg7Kv7fVpF984z/bWIzs2ZR/uX+Qhi+eG9443Hqow6/V86WEoLWoY2HBLbUm18tHZwtKwTbt/MFKx9Sz8n+0ZSlIISG/Al7PrtT9xt8rjBLSQiPJw/MGxpJ/fEyuYQsFSFsnV9ndDqH+mmbL+wsdSGcGpqb8b2K+mbW6hdZ2kLoJxmxflE/KXHXLP91PQuEcCjEK8FVgbrchMsns/SFMHT3+RUD5lBvMFLckWUghKQ7OZwjK6nz7vjpZe0QQvOTAQvTdlFnRW2amWUihA3uO8I1T1F3av89IstcCNcjNyg/s6d+XP1mT6alEEaGPmvpfE1952HlikxrIexTqp6yz5/6ttdhvEw7IQiark/kJlPfn7M9NNNeCJJm0p7Kv6hflml8n+koBBNmeYhdG3XP5ffvZzoLodtTYn7hUGlxr7mgap3pKoR0mbeSulOpg0+Maaa7ECKOjRn1eCF1j8p96zJZQuhZK7mx2pD6dOVOrcwgITi9rXm2zJx62I6nEzI5os8lb3fB08vUzR01pDIThFAwpWhg5WPqsxJShLwMIUwZ2tur7Ul9cO/hfF6uECQGrvO5yaUuod0/lscXwo1b6wZkfqeuYPnai1chhPGS94rH1FLXd9dx5tUL4Uu7y3xTiUHi/oSfzeS1CaEtt7f8/Rjq/RQtj/F6hZA8Zq2gVJ36PcPBW3lSDSCc109mymrqOrc/LuHJNoCWm5/hvj3UJaL1VHgKDWCSVf3i2WnqjZ0/5XhKDbBo+fzsFAfqA+ZZd2aoNMCTw+NKet5Q1z05vDRDvQHmB87wnxVA/fEnr7QM7QYod69WN06hPlKwJigDGuCsbw0wf1EPG1PqlqHfAJ83BKd9aKN+18juToZBAxjU/oiOGzpY3K/dH3s2Y0cDaMgUSpdMof4+IWBvhkkDKEzYeLtbl3pDv836GeYNwHMJmD3ckPqRxTUaGZYNMLn9LX/KYepDrO3HZlg3wE/v1w6al6gX+UwekGHXALHz5g1f9OivXhNRm27fAO6MBjM9D+rDVHfmpjs2wKbbJieXRVI/ebCZm+7cALdWyQxfmkP9zxtHz3RX0fl/tVuyoIp6VP7MJ+nuDZCitebHDIaMuAeNjr+czmoAKyNhuuJo6oIt+83Tgxog7aqEtMQs6nqO3YbpnAb4On+oReUy6tkpzgvTExqgoOx5VeIO6q7SWlPTM0TXZ9Bc8w8nqb9blT40PbcB1o8+lGZ7nXrhtaNtafwGmHQjdOAGF+qbuQN+pVU0gEUSt1uBRZ3xxzU5rb4B/uzp71IUS71q0SL/tLYGeBEwOM41n7q87ffXab0NMGSd2bHdQupng0/Zp0k1gtLD16flBw6h+61tyKk02UZ43Q8SosZRb5nvsStNoRE2D/+2+YTmX9ufW7EyTakRBiys7pLTp37Gv2h2mkojXKsfwmLtoT6q+YJCmnojPP0ct3XNaertWqP6pWk3giTf7Xu+PfWJZ9lVqdAIbgNnTjR/Tf22//qcVP1GmO1cM7LWl7puS3lEqkEjXJA6++FEIvXZC665p+5ohI3p6wPLCqkftZ7wMNWkEU4f6NUybqJeGxxsm2reCP4Lx0rFSg8V95BOo0Oplo1QmKYyZsZE6mmL6zemWjdC0CM/I3st6rPs7min2jXCEMZat6I11L9FTZuUat8In+6dqZyzj3rygKjBqY6i68yKHGVzhvrQNXuaU5wbIbsoQD7Ugfqru22FKa6N0POwNK75NfULGY8SUtwb4SF8H6fqR/3jiDk+KaxGMN03uscokfok46QXKUGNoGGmYWRTSL3u1aEbKZxGSEtmST1tpC5T3HsyJaERGAOVB3hKDRP3Syovd6RkNMKz+0PmBo2nrndywbKU3EbYnse4GK5JfYdf5swUfiPI7HVIDFlNPbrjxMiUikawezRnAGs39et60n+S6xvhcv0VhVdW1F/av69IbmuE9KoBNcyb1AdnLM1M7m2ExV3rj+99QT1jdH5oslQTPHLmX9FkUa/bd+5DsmwTuCxYL9cTQ93cXe5BskITjDcYO4ibR11X+MU6WakJynbkbbGtpX5YV39/skoTRCbI5ar1l6XXv1a8Llm9CSxGGdjljKaelXp5XrJ2E8QGTZx/Vo36aIUxE5OhCRymyRQP1qMesN9fKlm/Ca59c7V8vpW631eDhiSDJriy9EjC+KPU5dur8pN2NMGq3Pos58vU01fcik0yaYL3o6MvDnr013k6TvJOMm8CkzPHvpz6RP1kQbhzkmUTrDx0dj0vlLrhDOOrSdZNMMH0+KppGdSfnm86lmTXBH6F+desSqgviX2wNcm+CTKMNtX6tFFfO3zm0iTHJnjzSjWoWVJO3CNM41SSnJvgwLUgaxk56k9YpvJJrk3w/NmY2RPGUs/809WZ6N4En56MTJ0xlfr5Tc6liawmqNO2WKs5h/r1N3PTE4OaIH9RjYuWDvX2urSgRE4TJO3e6quxnPo3OPo2MaEJphqdsFfdQH3iwwF3EzOaYFNhx9Bx26nzil3PJuY2gVdA9EJpU+q18xbtS+Q3gbvzvf7Co3+dp/13/cSKJni1dMKurDPUj+ef0kysb4JWs4ULWJepp84eOi6xrQkUkz7fvWVP/dVVjwGJvU1weIqmgfFD6j++rahLkGqG1RrPzk19Sf3WTH5ugmwzjP/ypqnqA/V3drZRCQrNYGAgF/nFm/qcb6O+JCg1g14eO+lwMPUZaj5PElSaYUe/1TLjo6k7X91wJUG9GdpvPrVOSfnr/eZVmCdoN8OtSWYS575RT1C/vjkBmuGIo+17RT71u/YTFyXoN4PE3ZcbAiupx/BDpiYYNENoxv2mjY3UT+psG5awoxkaFRXu87uoP3gobIs3aYbhk3uGHpeUF/cp1Xd/xZs3w6VPkseFw6jPXqWSEm/ZDM77W59bKlL3do32j7duhvhhT+9VTqL+qXPvm3i7ZrA86r5wtxr1kds77OPtm6F5VpNzwjzqXT5PTsU7NgNn5FKX2Uup7xymsTveuRnUCzZq3denrnk8ZWW8azN4L63cVW5I/Wri4Tnx7s3wqi1rgO4u6hum91eMZzWDSXT2tJsHqTvdeN0vPkjUd7F9k09QNyjRqY7jNEO37Ry3Qeep316ekxOX0Ayv+SNKltlRX/rOMjIuoxncV0y3OuNA/VR/GY+43GawO6C2+M1D6koHPz2M4zeDQ1vlougX1NfGLrsYV9EMKpFTD/HfU2+cVngorr4Zok99+NzylfoYB5tNcW3NEJY2u59kIPWIqhE6cb3NYHv/lslQDnXBRtakOKkWOHjibMiwROrXfNbJxMm2wPdpERKDMqm/H1XeHKvQAkvPTdfq/kF9pe3VolilFugedX5xZTF1M/74xFiVFjgXc2pkWjX1gauCfWLVW2CYLp/l2Uxd9YvRy1jtFpg194bE1R7qafL1N2KhBeYdmz7AcOBwug42dyxi9Vvg9qu7nxRkqbsIphnHGrTAwxsX+LkK1GPWRC2L3dECrMKA907K1K189qjFmrTA2oMDK5fNoO42tn1krHkLxPA03lZrUt984/GfGMsW0X+LdMbcX0jdvm5OZYx1C1QazlyluoL6sp3JmTF2LbAn/8aYsPXU7WLNwmLsW2CFLm/+6q3Ul2v0+xjj2AL9ZmQ9SNpD/farVw9inFug/ZDhmFVm1LcN0rGJcRW9Xw+55OCT1D+dz94f494Cc1h5T6eep3651GJ9DKsF5s6zOOVwhfqPLYPnxwS1wICmZ5tLb1EPi/o4MYbTAgPdFdV0HKlP01wmHZPQAm9lQhqvO1Mf/ragITqjBbQKlrxOcKXuIG/zMzq3BabnnFCS8KB+89qIuGh+CxR4y1gsYFOXbvb2jq5ogRAVweX9wX+9/uF1z6PrW2BKJ2vFDS71D3llV6PbWuDyLz3/N4nUI9ZfPR7d2wKzXYxj2Tzq+zjjt0VLtcKzgvAjoXl/nadW8NJo2VaYYK71LExAXdvDSDVaoRWmNV9d5l/51/0zoV4+WqkVRoOFyQchdc3Hd7qiVFrBQCKy9G479QuDppdFqbeCbveC+GOMEeK+nhmVHqXdCtplb9r1pKl/atsTHAWt4H0hzGqYHHUHy/a3Ufqt0Ht2y5RsBeqNFY/vRhm0wqNHMyQdlahXmKqfi9rRCin3B8osV6F+KD95X5RJKwybzJpRM4f60a2H10SZt0LE4N/b7i+g3p7eb26UZSuAhO2NaUupy617PS7KuhXa4lU8/VdRZ8XpSEbZtcI6+eCwhRup/1iWU8e1b4XXr4VeQVup34u0zOM6tsI2Fedzanuoxy+SieY6t0LW0VNSzw5SvxPy6QvXtRVslVcZtx2jnqe9/CnXvRUCB+btMThN3Tuw8AqX1QplufWD3lygPnTBhSPcoFY4abBlawmTenPAyC1cTiv4qsZpKDn8dd0WsBdxE1pBUWnYk82O1PcGrZ/GzWiFAXWNp22fUS/SqRjGzW2FfEPdaJfX1CtDr7Vz+K3Q09/9POsD9YtLJhZzKlrhO6ffzbAv1J9yQ1I49a0QvVy2OMKXus7KbQGctlaYqf/0WmAI9QOJwjec3lY447Bz90cu9VEb7zlwpNrgT9Sk/XcSqBtkqZzmyLaBBsvPwSydurxxzG6OQhtYynyLX/CN+q6ifas4Sm0w4dF6uT8/qauZdc7hqLSB25+CnWHF1K/VPFXkqLfBriEGzy1+Uzc9q9mfo90GfufNuQpC6nHdqdWR0AYyHdXxga1/3Vc3j3yL1G+D5E3v3Nb3UJ8kO4ATadAGm7QMl3+XGCnuCi6uHpE72kDiQJjb9sHUn05Z9CjSpA3WPvvMTpX7q3t/vxhp3gbX7woO6yhQn7jwtFmkZRuM6ZkW7DKBumr8UINI6zY4/glchFOoh2z5rBNp1wbFy5v+LJ5JPY2/cnKkfRsU3B9YdEWDuvlJgUykYxvELAe1wAXUr3ZdbIlwboOO8Qd/Fi+mrnxHgR/h2gb5udolA1ZQXz7GLzHCvQ3q5lzXHr+WernHJt8IVhsMLxycpmpAfYhu1cuIoDZguT55PnMbdf+kmzcjOG1gP7P8waTd1It2TbKMSGgD521xH4bup+5QE24ckdEGZ061pdcdpu53xXh5RG4bqCeu6B93gvpe+Wa1CH4bzF91TMvpNHX7D46jIiraYNa21TsMbahr6qj1hte3gXnkhgOSV6jvTI2vDG9rg9Ump9axrlNPuDFHfXhPG7RLzbWwsKc+cv+BrPDeNtgyUmPKhtvUN6/lsP+P/kOI//6Lj3+QRuVQRVQZVUU1UB1UD12DGqLGqCl6BLVCbVAm6oA6oc9RN9QDZaPBKBdNRHloHipAK1Eh2v6f97/2X6VROVQRVUZVUQ1UB9VD16CGqDFqih5BrVAblIk6oE7oc9QN9UDZaDDKRRNRHpqHCtBKVIi2o4x1/yqNyqGKqDKqimqgOqgeugY1RI1RU/QIaoXaoEzUAXVCn6NuqAfKRoNRLpqI8tA8VIBWokK0HWWs/1dpVA5VRJVRVVQD1UH10DWoIWqMmqJHUCvUBmWiDqgT+hx1Qz1QNhqMctFElIfmoQK0EhWi7Shjw79Ko3KoIqqMqqIaqA6qh65BDVFj1BQ9glqhNigTdUCd0OeoG+qBstFglIsmojw0DxWglagQbUcZG/9VGpVDFVFlVBXVQHVQPXQNaogao6boEdQKtUGZqAPqhD5H3VAPlI0Go1w0EeWheagArUSFaDvK2PSv0qgcqogqo6qoBqqD6qFrUEPUGDVFj6BWqA3KRB1QJ/Q56oZ6oGw0GOWiiSgPzUMFaCUqRNtRhsG/SqNyqCKqjKqiGqgOqoeuQQ1RY9QUPYJaoTYoE3VAndDnqBvqgbLRYJSLJqI8NA8VoJWoEG1HGYb/Zd8843+b2JgueXbOvH87fFGekzfjLvXJrT1h4VLtsO+zmcOvB9Sj77p8DJdth6db5hcdfUK9cNJ8x3CFdrDQmiJf4UL9VDDPJlypHRxOLlLb6Ur9ksGJA+Eq7XBv4SAd7gfqveVSG8LV2yFrts/y8Z7UW6+8nx+u3Q5Nu89sP8mivl8BlMKhHXJsHa74+VMHdr50uH47VOiqxdeFUL+/9nxjmEE7TI16qqPEob6hRL4gbIfouHv6/1oZS936sldcmEk7XDb4kmySRF1OcS0rzLwdNhUlM6zSqY/wK30eZtkOIRtfPjiXTf36Jua1MOt2OFi83c4q768JatW4E2F27VAq0C4yLaTucitoW5h9O+TdtwlcXUx96RQjCHMU9dlGIyZXUF/DrVMNc24HpmR/RlM19YC9d4aHubbDsZ0c+xAh9Vtd07pD3dthrkVcwLkW6kEuUWWhrHY47bDpqUrnX6+vszcjNKgd4mqeaGb8oa6T2x4cyhF1ftbTExKj6PXPP3kXmtAOwz4tT+uVoq4xWuNeaEY7LLwxscRhCPV5gSnnQnNF1yHSrVhKnvrT7eYmofx2cH8hkXtpFPUNbf3Xhla0w4Q9V1MqxlDf/fzN3ND6dijR35qyZiJ1ru7C8aFt7fDwXeAv18nUL/38JhnaKzp/dvGY2unU714+VR8i1QGjg4bbaahRr1Ua+iNEtgMmdzLHH1On7hbtER2i0AE3Is17XLSou5ut/Bqi1AHf1vSbzdWm3ikteBqi0gE+hfaBBYuov/560S5EvQP8ouZ/rAfq9w0VjoZod8B53VUDOlZQT2723RICHfD4trCoXZ/6VpdNi0P0O8C99ZRe/Xrq05dWTQsx6IBNcRLzCgyoLy+5KRuyowOUFwpiOUbUPRwmdQSbdECoy7I/Ljv+ev05EcXB5h0QpHqg+thu6qtyjFODLTuArXbJea4J9cu2zQHB1h2woiJpaMMB6h3KTq7Bdh0g7XZz56fD1IMS1G4H23fAqxe/b245Rj3EIuF0sGMHvBin8ablJPXuUQf3BDuLtjd/7OV4ijoz4s+qYNcOWBqzkaN8jvoKsxfqwe4dMPaMS5GHDfWVQxeMCWZ1QGoYe7TqJerXAzL7Bwd1QP2vtNNv7Kj37j1ZE8TpgAkz1f7IXP/r/AcO+h6U0AGNef1jrW5R92R94ARldMAgLceM1NvUvxvrfQ7K7YCeS4NnKd+nvrh/waMgfgcc7fIuPeZE/ecX60tBFR1Q2Rg4wOsxdfa2EYeD6jtglMce5/Jn1MN7vQ2C2jrgnkm+u8IL6n8+r9MN6u2A8r3Hlum9pn5+a/nkIKlOiKpYbWnqRl259+qQINlOCFzmudjm/d+vM6E1UKET9rPT/e0/UZfbFsIPVOqEPTZ1xQ8+UzdibEsKVOmEVUUrsu5/pR7/RegbqN4J/tMHPbjBon50x71Xgdqi7Z/ZTDrj+9f1kVC9FQid8PRUqvPOAOpLWDGWgfqdsLhnabd2MPUTu012Bhp0Qu7lwbuGhVFPkOpaHrijE/rrHA0viKC+2f/ZrECTTthh9XTOey51yf1zRwead4LV8aSw/THUS4am9wZYdkL1SbBUjKdeE3r0d4C16PqEa25NSKQ+8YhkdoBdJ1i+zD9nkULddtTb8AD7TvA2OMsfmk69J3rxpwDHTgidoPvqI++vccYqzzHAuRPU1x0Mmp9N/cLEsxcCXDvBY8zsxZHfqJ9KlT0Y4N4JXB5vPuT9Nc7YftkQwOqE4f4OrOB86umq+gsCgjpBV9rRf2Yhda3cYqUATidkyk80fMr/6367eWVQQEInnBtldb/9F3XzeWOb/DM6gbODY721lPr8koAC/9xO2DBh9djP5dSnPNoc78/vhCDPpczWyr+eF8tqWf4VnfBiZYn/4mrqh4QOLv71nfBQ3SLmYi11f9ep1/3bOkGHPSbIr/6v1zfgnvDv7YQZMsovSxuo+/zZvd1fqgsYN8NshzVT3+PdBv6yXWB8YPp+zda/xtV9j2f4K3RBasWLnRvbqcsMUx/hr9QF7TuNLA90Uh8amdztp9IF1j23vay6qc+yOFzup94FpaMvKNn8oW42sT/PT7sL8qt28WwYo2k8TH8d4gdd0BxxNOV0f+oqdrrv/fS7ICOHP+7wAOos9W/3/Ay6QPJsW+qWgdQNBVbn/XZ0wVxB1W8daeqDHg4x9TPpgoa9zZcVB1MvWOax1s+8Cwo0Nz1pkKEe17hCy8+yC5zc5urEDv2rv+eP97PuAo+6n2edZKkXbr040M+uCyJNb2zbLk998EAFoa99F1guOlw2agT1TUG+P3wdu2B7TJh6xkjq7kc2xfg6d8GwJRy4Npr6yLFVX31du0Cz1lNZXZG6c8rNZ77uXbBHMaTw2xjqsy5PYvqyukBNYuq18+Oof58TcdQ3qAu0G6eNkZ9A/ZHA2MiX0yUa/zu8Pk6kfuBR82LfhC6wqc9dP0+Z+oqVTtN9M7qg5FZ3T/gk6tqtanK+uV3QMe9tBkyhvtgjocOHL3q/Sxmp4VOpb9l1sMSnogueVRj90ZpO/cKQ3lSf+i7Ycu77qY8q1NmRLwJ92rpAZVa0pvwM6m1WC9x8ervAx3DzWuuZ1A2mZN32keqGOyqRMblq1AO+nTzjI9sNm1qWf507m/pMh0F7fRS64fmfMcMc5lD3WvhxtY9SN/R3uNycq059aa2eho9KN6h9dz82WfOv+8G1YIyPejd8mZ190Xwu9TtbbCR8tLtBKVtXy12L+krJkbVs6IbJMqNf/ZpHXSaY9Z2t3w0GY99FjV5AvejYei7boBuWrVJkrdamHjGh4jN7Rzc84flantKh7sG79pht0g2ljK/DnHWpu16feJlt3g2pY5c6By2k/nZB6GG2ZTeUH3g/MnsRde/f2wzZ1t2QPmH0o9+LqSe8atBl23XDJCfe2K4l1H8b3J/Ctu8G6z9DQqWA+miJGUPZjt1g6SV5UVaP+obA2FaWcze8+9V8ZPgy6nePmgpYrt3gxR/pKLeces747iSWezfMrHFtH7SC+nSesx+L1Q3+63nsP3/1q9e1XrOCuqFyuSC6biX1sgUZt1icbtg/evDC/FV/jSdVx6xYCd0QMthhUtRq6rGvB+5iZXTDvUNPbrzXp663+d0KVq7o/R45anF1DfWYAUtns/jdMHL3sqpda/8aB4J/jGZVdEMPc7uExjrqguPnGKz6buBNLIllrKduoyRf5d3WDdMvTFqY9ldXzP6a7d3bDa9y1ls83UA98taaCG+pHkg/9+rEzo3Ujy8s/eQt2wPb3m7UG7OJ+oQ6OydvBdH2L12ac/7q396Os/VW6oGcz6FP7hlQf7It6KC3Sg9IyFWr6RlS3zHIaKO3eg+0DDeLq/+rK0fULfDW7oHVbQdOvNxMvc7qjrI39MCjfkqzVmyhHjV1+mBv/R44ez5btuKv7pIX1eRl0AP2L0In2xtRP39vb6HXjh4w9x1mNWUr9e16HfFeJj3g3X+wRPhffXHzE7aXeQ90ZJSXG2776/7x0HjhZdkDJfv404v/6iP2pF73su4B6ebZ6ZbbqUvKHTnpZdcD/XKGVHb81TtjJHZ42f9/7dv/T9VVHMdxXBhOQl1oohNFQCGBcIZDM30T4vBLBE4ciAIGKGaiaRjIFyUxqUwZYpJfAE28n3s/9yKSJsI0TJ1MQvyGEqAg2gDRAiWliZ9zYq3tvu/6C9pej98+z52dfXbOD+fzw+dotGb2qS0ZYebek1ToV5zdP//2uEOvhJt7l8eMScV5/fM8WLg4k/eW2/bFhRrFHjxtkKw/zd2gmRSNjvTe0CcvMfe/Aoe0m0o0ipreFPkH6wNeGq6ZyjTy1NnWLY8wd7vjcypMlRoVby144xrrY+Jaj5iqNNpkXzv53aXsfHFI32m6qpFHfp3XUdb9ahySTPUaxcQ9drBdxtY/4+RyU4tGp/o3LYH1BJ+Q+aZ2jS6endZ2hfUvOx69berSaGJDa/OkSHMvOpjlaOrtf5+AL55uY/18iIuNSWoUHhDpeYf1+9aV3UYbQVGORXmTo9h+lUc0GocKmjh8D21l3T3h+QXjSEFBCfHe11kPGr+72DhO0JqE8A2O0eaeeMsrz+gmyGnJYft41vO/upxh9BZkvTFt7DHWL81csdroK+jEQNeCp6w/eWIVaiRB1cE38n2Wm/tY3cGZxkBBD/J+dk9kfUHENDdjsKDvnD3nl7KeOqRumDFMUJbP+3aPWVfPr3uhRgta8PqydNcPzb3pM9vf1HhB6VZ7j0aw/pqHckVdJ+jMbJ+cXazPavEvU5MEHXZav+Ac6xtymw+pWwRVNW1v6WJdF5jytZolqKa8JNwxxtwb+0YkqtmC5soJ5+eyPux4aaSaJ6ih28VtA+tz4oIC1UJBo24+2L2P9TSHh5NVRVBRZ+GwStZP1GwbrZYIGpG223if9UcZTtZqmaBBNc/WWseau8vUM78bKgU5jLNe6cr60odh9YYqQa3lvQf8Wd+T33POcFWQdm/wmGjWryzMVg31/fM3JD3ZxLrNqx57DC2CCtqS3XJZ96u4lG5oFxTxwdzLKuupa2PiDV2C6kOd7p9j/UdnEWLoFVQ6a0b6Lda7b+97xyAFZYbcPNrBuseOqa4GG0kPa53jX7C+kq7bGYZKShexNYPj2Lnfs6ZXP1LSHZfr90axflcZ1KofJ+n7zKISN9YdlhVV690kLY9xCPBhPXSY30m9t6S71vEGYj37YlO+3lfSiJLqznms/5KclKUnSU+UdPtFrNt42a/XB0r61KPiraWs+7cei9AHS1pUUBEYw/rmb+cH6MMkBV05/dEq1ivmtXnpoyXFnukuTGD9ufb5SH28pORJe5+tZ33KD44D9OskHTjRt3Ej62tXlncqSZJCL1p5JrOujl5cp2yRNEad4prCeltt91klS9KbUY1xqaw7Z36jKNmSLs8rsk1jPcrXPUfJkzR9dU8zH7//0YUUpVBSw8vHnbzXF0bHKYqkjpyydt7tQ/uClBJJdsbcDt6DB+X5KmWSPi4Nt+g7zkwZr1RKurZ5lUWv+qR2sFIlqdE/zqK/MmH1n7qr/eu8YoVFp4aBzbp6SSkjLXvqzsNVupb+dfO07GXvzSzVtUv6aaJl73n2635dl6SZ7pbdW03cpuuVdMvNspuS7lT3vZT/XpBk3zn/XJz8b88ZfnIi/xEi7PiuaP5sawUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPB/8Dc= + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b3bb8380-0f13-4616-b698-7ff28b0c2cbf + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 12814 + 14020 + 439 + 20 + + 0 + 0 + 0 + + 12814.38 + 14020.7 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 5d45b645-ad94-471b-acde-1fa0834367da + true + End Points + End Points + + + + + + 13398 + 9997 + 96 + 44 + + + 13448 + 10019 + + + + + + Curve to evaluate + bea86491-d999-44e0-82c5-70899a785d68 + true + Curve + Curve + false + 0941d520-fa4e-4f2a-883b-2b04f88285ca + 1 + + + + + + 13400 + 9999 + 33 + 40 + + + 13418 + 10019 + + + + + + + + Curve start point + 7bcd5a1b-72e3-4eaa-a089-2bb140a5a2c6 + true + Start + Start + false + 0 + + + + + + 13463 + 9999 + 29 + 20 + + + 13479 + 10009 + + + + + + + + Curve end point + acfea654-9953-45fb-bb89-52d91f8fd827 + true + End + End + false + 0 + + + + + + 13463 + 10019 + 29 + 20 + + + 13479 + 10029 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 83c93570-6862-4d5e-b9ce-88d9d5dc5e5a + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 13383 + 9894 + 126 + 84 + + + 13441 + 9936 + + + + + + Rectangle base plane + d7b0de37-a805-4cda-b55d-9ca2085f2d6c + true + Plane + Plane + false + 0 + + + + + + 13385 + 9896 + 41 + 20 + + + 13407 + 9906 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 8c4ba4bb-c076-4849-8cf5-b0dab35c4e32 + true + Point A + Point A + false + 7bcd5a1b-72e3-4eaa-a089-2bb140a5a2c6 + 1 + + + + + + 13385 + 9916 + 41 + 20 + + + 13407 + 9926 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 47b191da-1329-408c-9609-3c085b8a0469 + true + Point B + Point B + false + acfea654-9953-45fb-bb89-52d91f8fd827 + 1 + + + + + + 13385 + 9936 + 41 + 20 + + + 13407 + 9946 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 74603bcc-7055-4910-9b35-a68d5977884c + true + Radius + Radius + false + 0 + + + + + + 13385 + 9956 + 41 + 20 + + + 13407 + 9966 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + e68c2971-d028-4718-b084-023097ddcddd + true + Rectangle + Rectangle + false + 0 + + + + + + 13456 + 9896 + 51 + 40 + + + 13483 + 9916 + + + + + + + + Length of rectangle curve + 26a52d53-98da-47bc-84f0-c470a5ce3f17 + true + Length + Length + false + 0 + + + + + + 13456 + 9936 + 51 + 40 + + + 13483 + 9956 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + 75e8872e-b767-4df3-969c-d8d681c63c48 + true + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 13375 + 9811 + 142 + 64 + + + 13443 + 9843 + + + + + + Rectangle to deconstruct + 2e4b28d2-d659-4360-8273-1a2cba5c60b0 + true + Rectangle + Rectangle + false + e68c2971-d028-4718-b084-023097ddcddd + 1 + + + + + + 13377 + 9813 + 51 + 60 + + + 13404 + 9843 + + + + + + + + Base plane of rectangle + ef2d379f-46cc-496b-b054-a8257a497987 + true + Base Plane + Base Plane + false + 0 + + + + + + 13458 + 9813 + 57 + 20 + + + 13488 + 9823 + + + + + + + + Size interval along base plane X axis + 017a319a-e7f1-4d8c-882a-e80db6229d47 + true + X Interval + X Interval + false + 0 + + + + + + 13458 + 9833 + 57 + 20 + + + 13488 + 9843 + + + + + + + + Size interval along base plane Y axis + fb8bbb70-8d0e-4604-8af7-de0d83a01b81 + true + Y Interval + Y Interval + false + 0 + + + + + + 13458 + 9853 + 57 + 20 + + + 13488 + 9863 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 2531dcc1-1359-441d-bb5b-d61d41f0a1cd + true + Deconstruct Domain + Deconstruct Domain + + + + + + 13394 + 9684 + 104 + 44 + + + 13452 + 9706 + + + + + + Base domain + a34a2ee9-76d5-48d0-a24d-8887ec332439 + true + Domain + Domain + false + fb8bbb70-8d0e-4604-8af7-de0d83a01b81 + 1 + + + + + + 13396 + 9686 + 41 + 40 + + + 13418 + 9706 + + + + + + + + Start of domain + c4b60deb-578a-44bf-a5dd-4270e879a1d6 + true + Start + Start + false + 0 + + + + + + 13467 + 9686 + 29 + 20 + + + 13483 + 9696 + + + + + + + + End of domain + 94ba97e8-38eb-4947-b1e0-9679a0be2d38 + true + End + End + false + 0 + + + + + + 13467 + 9706 + 29 + 20 + + + 13483 + 9716 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 79ebff82-d12e-47e6-b942-5f8f29902a76 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 13394 + 9746 + 104 + 44 + + + 13452 + 9768 + + + + + + Base domain + 6ce14d8a-5956-41f7-8e23-600b4c8f7926 + true + Domain + Domain + false + 017a319a-e7f1-4d8c-882a-e80db6229d47 + 1 + + + + + + 13396 + 9748 + 41 + 40 + + + 13418 + 9768 + + + + + + + + Start of domain + c6664468-67db-4a0e-895a-653f70323b02 + true + Start + Start + false + 0 + + + + + + 13467 + 9748 + 29 + 20 + + + 13483 + 9758 + + + + + + + + End of domain + 5420f6ff-e48a-46c6-aadb-68801a9bd30b + true + End + End + false + 0 + + + + + + 13467 + 9768 + 29 + 20 + + + 13483 + 9778 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + 2175c2eb-8418-4d8e-b6f0-9592ea83f481 + true + Scale NU + Scale NU + + + + + + 13369 + 9561 + 154 + 104 + + + 13453 + 9613 + + + + + + Base geometry + 0f301306-541b-4b30-b7de-6e2d368eea73 + true + Geometry + Geometry + true + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 1 + + + + + + 13371 + 9563 + 67 + 20 + + + 13414 + 9573 + + + + + + + + Base plane + 3d8f26c1-6dd7-4cdc-93bb-314fa972e30d + true + Plane + Plane + false + 0 + + + + + + 13371 + 9583 + 67 + 20 + + + 13414 + 9593 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 0111317e-9c0c-4b0a-aba2-8d513f1bc969 + 1/X + true + Scale X + Scale X + false + 5420f6ff-e48a-46c6-aadb-68801a9bd30b + 1 + + + + + + 13371 + 9603 + 67 + 20 + + + 13414 + 9613 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + 06c60144-0dd1-4895-a6a6-2b7b1c80cdd5 + 1/X + true + Scale Y + Scale Y + false + 94ba97e8-38eb-4947-b1e0-9679a0be2d38 + 1 + + + + + + 13371 + 9623 + 67 + 20 + + + 13414 + 9633 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + ed4dc966-100b-4784-ae15-68391a3de3a3 + true + Scale Z + Scale Z + false + 0 + + + + + + 13371 + 9643 + 67 + 20 + + + 13414 + 9653 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 1954d808-6d58-46b1-8535-bf85ef84a145 + true + Geometry + Geometry + false + 0 + + + + + + 13468 + 9563 + 53 + 50 + + + 13496 + 9588 + + + + + + + + Transformation data + 28e6c0b7-12ff-499a-af5c-8bfa65081c4e + true + Transform + Transform + false + 0 + + + + + + 13468 + 9613 + 53 + 50 + + + 13496 + 9638 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5d45b645-ad94-471b-acde-1fa0834367da + 83c93570-6862-4d5e-b9ce-88d9d5dc5e5a + 75e8872e-b767-4df3-969c-d8d681c63c48 + 2531dcc1-1359-441d-bb5b-d61d41f0a1cd + 79ebff82-d12e-47e6-b942-5f8f29902a76 + 2175c2eb-8418-4d8e-b6f0-9592ea83f481 + 0941d520-fa4e-4f2a-883b-2b04f88285ca + 671e2d5b-7a1b-4857-abe3-e22c81a1e82b + 4d2995ec-f517-4033-9ba5-874c44f3de88 + 03630ecd-8960-4a8e-b53c-5a4eb650a12c + 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d + db0e5084-e41c-47ef-a124-40b8b11485f0 + 12 + 90333eee-8a77-4cc3-b90a-5c4f8fac5cd7 + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 0941d520-fa4e-4f2a-883b-2b04f88285ca + true + Curve + Curve + false + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 1 + + + + + + 13426 + 10071 + 50 + 24 + + + 13451.04 + 10083.98 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 671e2d5b-7a1b-4857-abe3-e22c81a1e82b + true + Curve + Curve + false + 1954d808-6d58-46b1-8535-bf85ef84a145 + 1 + + + + + + 13422 + 9520 + 50 + 24 + + + 13447.82 + 9532.23 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 4d2995ec-f517-4033-9ba5-874c44f3de88 + true + Move + Move + + + + + + 13375 + 9308 + 138 + 44 + + + 13443 + 9330 + + + + + + Base geometry + 6b550049-4a33-4f5f-a95f-2da7cf3604fc + true + Geometry + Geometry + true + 671e2d5b-7a1b-4857-abe3-e22c81a1e82b + 1 + + + + + + 13377 + 9310 + 51 + 20 + + + 13404 + 9320 + + + + + + + + Translation vector + c32c916a-86a8-4761-b919-7971eabaf253 + true + Motion + Motion + false + 75fa1694-2418-4355-bd94-daa9c1c93502 + 1 + + + + + + 13377 + 9330 + 51 + 20 + + + 13404 + 9340 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 88effb8b-28ee-43f0-9fe9-eb5ae117b933 + true + Geometry + Geometry + false + 0 + + + + + + 13458 + 9310 + 53 + 20 + + + 13486 + 9320 + + + + + + + + Transformation data + ed196765-c548-443d-8ea7-f26e0560b3a4 + true + Transform + Transform + false + 0 + + + + + + 13458 + 9330 + 53 + 20 + + + 13486 + 9340 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 03630ecd-8960-4a8e-b53c-5a4eb650a12c + true + Curve + Curve + false + 88effb8b-28ee-43f0-9fe9-eb5ae117b933 + 1 + + + + + + 13423 + 9266 + 50 + 24 + + + 13448.15 + 9278.443 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e116f652-78b8-4735-8f71-f6f1873d88b9 + true + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 12814 + 14181 + 439 + 22 + + 0 + 0 + 0 + + 12814.68 + 14181.66 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 21638327-81a0-4d48-9669-827f5c814dcd + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 12907 + 14332 + 251 + 20 + + + 12907.29 + 14332.06 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c710e993-fc29-41c9-b745-41d336c03101 + true + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 12814 + 14240 + 439 + 20 + + 0 + 0 + 0 + + 12814.13 + 14240.7 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + 1/X + true + 3cfc6172-94c3-4f48-80d3-443b91211fe6 + true + Expression + + + + + + + 12996 + 14428 + 79 + 28 + + + 13038 + 14442 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 040ef7fe-0aa1-4d4c-9b7b-b43a1ede4833 + true + Variable X + X + true + e1807893-da4a-4101-ac40-63126ea670f6 + 1 + + + + + + 12998 + 14430 + 14 + 24 + + + 13006.5 + 14442 + + + + + + + + Result of expression + 1ed23266-44be-4f2c-ab56-029d13fee712 + true + Result + + false + 0 + + + + + + 13064 + 14430 + 9 + 24 + + + 13070 + 14442 + + + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 0578316c-418c-4e89-95a7-dc9ddb5ba462 + true + Point + Point + false + 8f66ad49-6028-4a1b-8324-63844d87d550 + 1 + + + + + + 13030 + 11956 + 50 + 24 + + + 13055.1 + 11968.79 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8f66ad49-6028-4a1b-8324-63844d87d550 + true + Relay + + false + 289c80b2-fb40-41f0-a44a-49aa726014ee + 1 + + + + + + 13032 + 12002 + 40 + 16 + + + 13052 + 12010 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + eb58ff90-1679-4c1c-9aae-21704022ebf7 + true + Relay + + false + 154d3592-0b64-4bd2-bebb-2990c542e296 + 1 + + + + + + 13032 + 11779 + 40 + 16 + + + 13052 + 11787 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 5c8b78b1-f658-485c-9d77-edfdca1b886d + true + Scale + Scale + + + + + + 12975 + 11815 + 154 + 64 + + + 13059 + 11847 + + + + + + Base geometry + 29ec7256-9f87-44f9-90c1-3c9c3dc6c30d + true + Geometry + Geometry + true + 0578316c-418c-4e89-95a7-dc9ddb5ba462 + 1 + + + + + + 12977 + 11817 + 67 + 20 + + + 13020 + 11827 + + + + + + + + Center of scaling + 29e0f51a-a146-49e2-8cb6-4eea176bcf53 + true + Center + Center + false + 0 + + + + + + 12977 + 11837 + 67 + 20 + + + 13020 + 11847 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 8510b34c-ea08-44b7-8f15-7a44c2aca97d + 2^X + true + Factor + Factor + false + 168c86e3-663d-475f-a603-92ce0e6c763d + 1 + + + + + + 12977 + 11857 + 67 + 20 + + + 13020 + 11867 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 154d3592-0b64-4bd2-bebb-2990c542e296 + true + Geometry + Geometry + false + 0 + + + + + + 13074 + 11817 + 53 + 30 + + + 13102 + 11832 + + + + + + + + Transformation data + ca8ce563-2e65-4512-a5b2-b308a467d7cd + true + Transform + Transform + false + 0 + + + + + + 13074 + 11847 + 53 + 30 + + + 13102 + 11862 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 168c86e3-663d-475f-a603-92ce0e6c763d + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 12934 + 11901 + 250 + 20 + + + 12934.88 + 11901.15 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0578316c-418c-4e89-95a7-dc9ddb5ba462 + 1 + 075789cc-fd97-4a29-a0a4-8c0e2f794e3d + Group + Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 46863f08-1441-425a-b843-5656270cea96 + true + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 12582 + 13460 + 40 + 16 + + + 12602 + 13468 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 82d97c41-4d45-4a35-bf34-867ab61335e2 + true + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 12531 + 13427 + 144 + 20 + + 0 + 0 + 0 + + 12531.72 + 13427.92 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 44461c59-4231-44fb-af41-15485739b0a4 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 12907 + 14283 + 251 + 20 + + + 12907.29 + 14283.81 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + db0e5084-e41c-47ef-a124-40b8b11485f0 + true + Vector XYZ + Vector XYZ + + + + + + 13375 + 9394 + 139 + 64 + + + 13460 + 9426 + + + + + + Vector {x} component + 44d8e1d4-c30a-4ae3-9947-bb18aa5a074b + true + X component + X component + false + 0 + + + + + + 13377 + 9396 + 68 + 20 + + + 13412.5 + 9406 + + + + + + 1 + + + + + 1 + {0} + + + + + 15 + + + + + + + + + + + Vector {y} component + e1ad2051-fd27-4a5a-bd77-3e5c9b8e1422 + true + Y component + Y component + false + 0 + + + + + + 13377 + 9416 + 68 + 20 + + + 13412.5 + 9426 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5 + + + + + + + + + + + Vector {z} component + 64110c0f-432e-4628-8290-ae0d2f351e2a + true + Z component + Z component + false + 0 + + + + + + 13377 + 9436 + 68 + 20 + + + 13412.5 + 9446 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 75fa1694-2418-4355-bd94-daa9c1c93502 + true + Vector + Vector + false + 0 + + + + + + 13475 + 9396 + 37 + 30 + + + 13495 + 9411 + + + + + + + + Vector length + 343dcf47-3d5a-4447-9be6-b163cb974b1a + true + Length + Length + false + 0 + + + + + + 13475 + 9426 + 37 + 30 + + + 13495 + 9441 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 51fb46f4-8bcd-456d-a842-67167d645345 + true + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 13011 + 13940 + 40 + 16 + + + 13031 + 13948 + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + a0c8b687-11e0-4ade-8843-7ea40892af01 + true + Stream Filter + Stream Filter + + + + + + 12559 + 13592 + 89 + 64 + + + 12604 + 13624 + + + + + + 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 + 5035d548-b73e-4347-8465-2828fee7cdc5 + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 12561 + 13594 + 28 + 20 + + + 12576.5 + 13604 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 322e6766-034b-4bb5-8b6d-6d29acdefc82 + true + false + Stream 0 + 0 + true + 2dc50ba9-98d4-4298-9c9a-104e3f8814ef + 1 + + + + + + 12561 + 13614 + 28 + 20 + + + 12576.5 + 13624 + + + + + + + + 2 + Input stream at index 1 + 9bae5cba-31f0-427a-b3a3-9acf29609e74 + true + false + Stream 1 + 1 + true + e27f66f6-779d-49ac-8cac-820afea61e6d + 1 + + + + + + 12561 + 13634 + 28 + 20 + + + 12576.5 + 13644 + + + + + + + + 2 + Filtered stream + 4a97c3c7-cd33-4f5e-9662-be9289e039f1 + true + false + Stream + S(1) + false + 0 + + + + + + 12619 + 13594 + 27 + 60 + + + 12634 + 13624 + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 131ff6e2-f7c7-4eab-b513-44501fc0b6a5 + 7553f3fd-a0e1-4ee6-9ccc-33ae6881a31e + f1dc7722-f68a-4e76-a629-9d79f7fa672e + 77c71397-d676-43a5-855e-28a04de20cf2 + 3436aa80-e9b3-4e21-b285-fc7f29fd2145 + 9856b67b-38f1-47bf-a90e-f1d15176eaba + 6 + fdb6fac0-c6e4-4cf3-819d-1f92f07b0f34 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9c50d6d0-1e19-40e3-8dbc-e01c21b81851 + b8fd27da-bc6d-4e40-bbb2-1871cd7d2daa + fdb33a3a-2113-40b1-ad49-f5f252ed5ac6 + 9ab39316-2409-4104-bdd6-4ba2ce94ba64 + b3658bf9-9529-46b5-8d4f-717a295ba18c + 747151c3-da38-4a62-bc4f-33d162225eff + 1521f003-3352-4ede-8959-abd475784a0a + 32908eff-1176-4411-8f52-46144aa86dfe + 006526e6-183e-47bb-a061-5eb50a7adab5 + 30a50f70-7130-4fb3-9d08-0582ba85419a + f80376c0-536c-40be-ad10-f46d06389f61 + a43c918b-5705-4549-a9e5-dd8e1081058d + ae80dfe3-a313-4a88-92a6-a20ee6daf34f + adb121fb-0265-42e6-af4a-bbacd31ccdcd + c224342c-801f-4459-9224-44879ddf539f + becc2c8d-d4ff-402a-a84d-52b3646340a8 + af815646-47d5-42f6-83e4-d86113591719 + b2801c2b-375a-4163-b78d-13fa2985f2c7 + 4549efe2-6ef9-495b-b73e-d57b1d8658c3 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 154082cc-7a35-4674-b6aa-b500c958394e + aef0bf4e-e25c-416a-8bff-b54952ed560e + 42c88318-5a88-4cc1-ab28-b1d73dd652d7 + 4196cce7-460e-4004-a74b-b9b355653474 + 80dfd0f0-9792-40d9-85e6-db5ebe0eadf9 + dfa591dc-8a9d-4616-9e21-0f4563b802ca + 7344168c-2ee2-44a9-8393-8ce7cc783a0b + a5f32588-ab0c-44eb-ba85-0e5af9e5b1a5 + e6f94cd8-4e8c-4079-a97c-93a4146e6a65 + c9ada40f-5341-47fb-b6d4-6794a5dca0f2 + 52262361-49d9-4469-8e9c-3f68257aa8fc + 467170c3-a747-450d-9db5-691d3222c764 + a4271c84-25cd-4656-b57b-6e1b9075a8c3 + 48876b36-f626-482f-aaef-f2d6994b6eda + a063af2c-0f6d-470c-a90b-c1c4d076f24c + 344dd78f-bc3b-4f6d-af05-f16bc0412c5a + 473634ed-a08c-4654-828a-ef2745fb8393 + b23dda2d-4cf2-4cb6-b260-5f3522944c45 + 263a199d-3906-45d1-ac2e-72cea27641d2 + 23fe9e65-96db-4c54-ad7a-0de18adbab80 + 341fbc99-3289-4790-b610-401be29ac2fc + d93403d2-b922-4f1b-a7a6-577adea13116 + 8173c5fe-8e0e-41eb-86ac-aafc074e52c8 + 25a69c15-0d48-436c-8d7f-63db8b42c0e5 + b45a9237-ddd9-4d64-89db-ebf9da902659 + c2f1f768-86d4-4f76-ad79-7f2a0dcabb4e + e337558f-550d-4086-aca1-2c76451a8265 + 654488ab-cbd5-4b27-abbc-fae35a1fcba2 + 23ef0277-c564-455f-b452-6c0d11eebeb4 + 795a343d-f80f-4476-bb42-ab4376f9b364 + ebc157b3-3407-4a6d-a9bb-16a4b26b7bd8 + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 74b7e1ea-51ea-4a7d-8398-fc7c6c939177 + 40c04e3c-10b0-4be2-9dd0-3f635f9f1de3 + f85a97dc-e0c1-4b62-95b2-48635a76a174 + b86a47c6-d6e0-4be7-a164-efdb7df953fe + 344b3637-27e1-449a-9d39-59102c35d000 + 2f4f9882-5af2-4380-85c1-45ca9027d1e7 + a401d7aa-70bb-4793-b7e7-19d100ac7774 + 30d40215-0eb8-44b6-9b46-d57410a768d6 + 2e6664f3-e582-4617-821a-b355f412c58c + ffb917a4-f88a-44d8-8873-e633c1b77f79 + d7d14ac5-f97b-49bc-b1c5-f762228131a0 + b7a4989e-d29c-4763-b390-a6211a60c766 + 884d7e27-d1d4-4c46-9811-b5a25cb04385 + 8f60c651-4f0f-4481-9816-919bbdee7a7a + 437d0179-cf59-4b71-b44c-2f0819520383 + 97f21de3-e5ca-44d8-b46b-64b07047104c + 253cf695-782b-4de5-9fbb-cabcf3a053b2 + 97691683-4494-42b5-bac4-02ec9576c740 + df89b0dd-b37d-4dd1-b093-cce1b1dca103 + ff43fc76-5f3f-4cc4-84fb-7a68f99e8220 + 71563604-0f17-46fb-8b7b-3fdd0433bc46 + 41cbdf17-5670-4397-882a-c79b5a46405e + 3566668c-48cb-416c-9081-8c205676cb55 + 829f9269-b7d0-4fae-911e-33607d6d8974 + 13ee932b-d7c2-4da3-a838-3c1d3a1bf1d3 + 0153e69e-17b6-46d3-aabe-eea050991035 + 692b3785-26a1-4388-8495-da08f520e287 + bc35ec24-ae25-4161-a748-94c38b2e5b2f + 1e7adb91-c83d-4184-b2d9-5c5c37b7cd2f + e464e48a-068a-4ad2-882b-5575331b82f3 + 72156254-a964-41b6-b774-888d3598d1fa + 83 + b0fc41c7-9542-4a68-8869-bb215f97be67 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b8fd27da-bc6d-4e40-bbb2-1871cd7d2daa + fdb33a3a-2113-40b1-ad49-f5f252ed5ac6 + 9ab39316-2409-4104-bdd6-4ba2ce94ba64 + b3658bf9-9529-46b5-8d4f-717a295ba18c + 747151c3-da38-4a62-bc4f-33d162225eff + 1521f003-3352-4ede-8959-abd475784a0a + 32908eff-1176-4411-8f52-46144aa86dfe + 006526e6-183e-47bb-a061-5eb50a7adab5 + 30a50f70-7130-4fb3-9d08-0582ba85419a + f80376c0-536c-40be-ad10-f46d06389f61 + a43c918b-5705-4549-a9e5-dd8e1081058d + ae80dfe3-a313-4a88-92a6-a20ee6daf34f + adb121fb-0265-42e6-af4a-bbacd31ccdcd + c224342c-801f-4459-9224-44879ddf539f + becc2c8d-d4ff-402a-a84d-52b3646340a8 + af815646-47d5-42f6-83e4-d86113591719 + b2801c2b-375a-4163-b78d-13fa2985f2c7 + 4549efe2-6ef9-495b-b73e-d57b1d8658c3 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 154082cc-7a35-4674-b6aa-b500c958394e + aef0bf4e-e25c-416a-8bff-b54952ed560e + 42c88318-5a88-4cc1-ab28-b1d73dd652d7 + 4196cce7-460e-4004-a74b-b9b355653474 + 80dfd0f0-9792-40d9-85e6-db5ebe0eadf9 + dfa591dc-8a9d-4616-9e21-0f4563b802ca + 7344168c-2ee2-44a9-8393-8ce7cc783a0b + a5f32588-ab0c-44eb-ba85-0e5af9e5b1a5 + e6f94cd8-4e8c-4079-a97c-93a4146e6a65 + c9ada40f-5341-47fb-b6d4-6794a5dca0f2 + 52262361-49d9-4469-8e9c-3f68257aa8fc + 467170c3-a747-450d-9db5-691d3222c764 + a4271c84-25cd-4656-b57b-6e1b9075a8c3 + 48876b36-f626-482f-aaef-f2d6994b6eda + a063af2c-0f6d-470c-a90b-c1c4d076f24c + 344dd78f-bc3b-4f6d-af05-f16bc0412c5a + 473634ed-a08c-4654-828a-ef2745fb8393 + b23dda2d-4cf2-4cb6-b260-5f3522944c45 + 263a199d-3906-45d1-ac2e-72cea27641d2 + 23fe9e65-96db-4c54-ad7a-0de18adbab80 + 341fbc99-3289-4790-b610-401be29ac2fc + d93403d2-b922-4f1b-a7a6-577adea13116 + 8173c5fe-8e0e-41eb-86ac-aafc074e52c8 + 25a69c15-0d48-436c-8d7f-63db8b42c0e5 + b45a9237-ddd9-4d64-89db-ebf9da902659 + c2f1f768-86d4-4f76-ad79-7f2a0dcabb4e + e337558f-550d-4086-aca1-2c76451a8265 + 654488ab-cbd5-4b27-abbc-fae35a1fcba2 + 23ef0277-c564-455f-b452-6c0d11eebeb4 + 795a343d-f80f-4476-bb42-ab4376f9b364 + ebc157b3-3407-4a6d-a9bb-16a4b26b7bd8 + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 74b7e1ea-51ea-4a7d-8398-fc7c6c939177 + 40c04e3c-10b0-4be2-9dd0-3f635f9f1de3 + f85a97dc-e0c1-4b62-95b2-48635a76a174 + b86a47c6-d6e0-4be7-a164-efdb7df953fe + 344b3637-27e1-449a-9d39-59102c35d000 + 2f4f9882-5af2-4380-85c1-45ca9027d1e7 + a401d7aa-70bb-4793-b7e7-19d100ac7774 + 30d40215-0eb8-44b6-9b46-d57410a768d6 + 2e6664f3-e582-4617-821a-b355f412c58c + ffb917a4-f88a-44d8-8873-e633c1b77f79 + d7d14ac5-f97b-49bc-b1c5-f762228131a0 + b7a4989e-d29c-4763-b390-a6211a60c766 + 884d7e27-d1d4-4c46-9811-b5a25cb04385 + 8f60c651-4f0f-4481-9816-919bbdee7a7a + 437d0179-cf59-4b71-b44c-2f0819520383 + 97f21de3-e5ca-44d8-b46b-64b07047104c + 253cf695-782b-4de5-9fbb-cabcf3a053b2 + 97691683-4494-42b5-bac4-02ec9576c740 + df89b0dd-b37d-4dd1-b093-cce1b1dca103 + ff43fc76-5f3f-4cc4-84fb-7a68f99e8220 + 71563604-0f17-46fb-8b7b-3fdd0433bc46 + 41cbdf17-5670-4397-882a-c79b5a46405e + 3566668c-48cb-416c-9081-8c205676cb55 + 829f9269-b7d0-4fae-911e-33607d6d8974 + 13ee932b-d7c2-4da3-a838-3c1d3a1bf1d3 + 0153e69e-17b6-46d3-aabe-eea050991035 + 692b3785-26a1-4388-8495-da08f520e287 + bc35ec24-ae25-4161-a748-94c38b2e5b2f + 79 + 9c50d6d0-1e19-40e3-8dbc-e01c21b81851 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0153e69e-17b6-46d3-aabe-eea050991035 + 1 + b8fd27da-bc6d-4e40-bbb2-1871cd7d2daa + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 9ab39316-2409-4104-bdd6-4ba2ce94ba64 + 1 + fdb33a3a-2113-40b1-ad49-f5f252ed5ac6 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + b3658bf9-9529-46b5-8d4f-717a295ba18c + 1 + 9ab39316-2409-4104-bdd6-4ba2ce94ba64 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 747151c3-da38-4a62-bc4f-33d162225eff + 1 + b3658bf9-9529-46b5-8d4f-717a295ba18c + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 1521f003-3352-4ede-8959-abd475784a0a + 1 + 747151c3-da38-4a62-bc4f-33d162225eff + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 32908eff-1176-4411-8f52-46144aa86dfe + 1 + 1521f003-3352-4ede-8959-abd475784a0a + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 30a50f70-7130-4fb3-9d08-0582ba85419a + 1 + 32908eff-1176-4411-8f52-46144aa86dfe + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 006526e6-183e-47bb-a061-5eb50a7adab5 + true + Curve + Curve + false + 0 + + + + + + 14879 + 13154 + 50 + 24 + + + 14904.4 + 13166.67 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 006526e6-183e-47bb-a061-5eb50a7adab5 + 1 + 30a50f70-7130-4fb3-9d08-0582ba85419a + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c9ada40f-5341-47fb-b6d4-6794a5dca0f2 + 1 + f80376c0-536c-40be-ad10-f46d06389f61 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ae80dfe3-a313-4a88-92a6-a20ee6daf34f + adb121fb-0265-42e6-af4a-bbacd31ccdcd + c224342c-801f-4459-9224-44879ddf539f + becc2c8d-d4ff-402a-a84d-52b3646340a8 + af815646-47d5-42f6-83e4-d86113591719 + b2801c2b-375a-4163-b78d-13fa2985f2c7 + 4549efe2-6ef9-495b-b73e-d57b1d8658c3 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + aef0bf4e-e25c-416a-8bff-b54952ed560e + 154082cc-7a35-4674-b6aa-b500c958394e + f80376c0-536c-40be-ad10-f46d06389f61 + 30a50f70-7130-4fb3-9d08-0582ba85419a + 437d0179-cf59-4b71-b44c-2f0819520383 + 97f21de3-e5ca-44d8-b46b-64b07047104c + 253cf695-782b-4de5-9fbb-cabcf3a053b2 + 97691683-4494-42b5-bac4-02ec9576c740 + df89b0dd-b37d-4dd1-b093-cce1b1dca103 + ff43fc76-5f3f-4cc4-84fb-7a68f99e8220 + b7a4989e-d29c-4763-b390-a6211a60c766 + 884d7e27-d1d4-4c46-9811-b5a25cb04385 + 20 + a43c918b-5705-4549-a9e5-dd8e1081058d + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + ae80dfe3-a313-4a88-92a6-a20ee6daf34f + true + Duplicate Data + Duplicate Data + + + + + + 14854 + 14318 + 104 + 64 + + + 14913 + 14350 + + + + + + 1 + Data to duplicate + ff56df39-c0f4-4fe0-bd94-e574973cca5d + true + Data + Data + false + 9f0aa848-e2c9-40b8-8f03-e94966a7c223 + 1 + + + + + + 14856 + 14320 + 42 + 20 + + + 14878.5 + 14330 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 81375a2d-e09e-4195-ae81-c196552c9a85 + true + Number + Number + false + 8f60c651-4f0f-4481-9816-919bbdee7a7a + 1 + + + + + + 14856 + 14340 + 42 + 20 + + + 14878.5 + 14350 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 3ff9dcaf-5557-44fe-9703-6cc524b52949 + true + Order + Order + false + 0 + + + + + + 14856 + 14360 + 42 + 20 + + + 14878.5 + 14370 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + a3a04c49-57ed-4472-9661-4bb034dc3e70 + true + Data + Data + false + 0 + + + + + + 14928 + 14320 + 28 + 60 + + + 14943.5 + 14350 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + adb121fb-0265-42e6-af4a-bbacd31ccdcd + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 14840 + 12390 + 116 + 44 + + + 14901 + 12412 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 69a076bb-ad33-4627-92b2-59b6850314e0 + true + Forward + Forward + true + 1 + true + a3a04c49-57ed-4472-9661-4bb034dc3e70 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 14842 + 12392 + 44 + 20 + + + 14865.5 + 12402 + + + + + + + + 1 + false + Script Variable Left + 3535288e-d0d3-4353-ab12-57d2c3faf192 + true + Left + Left + true + 1 + true + 9af3e55d-34ce-45a8-a8db-6eaa07661438 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 14842 + 12412 + 44 + 20 + + + 14865.5 + 12422 + + + + + + + + Print, Reflect and Error streams + 39bcc335-5d73-44ba-baf2-2cb1d86a18f2 + true + Output + Output + false + 0 + + + + + + 14916 + 12392 + 38 + 20 + + + 14936.5 + 12402 + + + + + + + + Output parameter Points + 919d17fe-401d-4453-ae1a-4909779e11cd + true + Points + Points + false + 0 + + + + + + 14916 + 12412 + 38 + 20 + + + 14936.5 + 12422 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + becc2c8d-d4ff-402a-a84d-52b3646340a8 + true + Series + Series + + + + + + 14851 + 13647 + 101 + 64 + + + 14901 + 13679 + + + + + + First number in the series + 6f679c91-49e5-4c7e-8e98-48ec5b608074 + true + Start + Start + false + 0 + + + + + + 14853 + 13649 + 33 + 20 + + + 14871 + 13659 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 4a924eb0-7484-4ec3-ad5f-f266d7375d9c + true + Step + Step + false + 13ee932b-d7c2-4da3-a838-3c1d3a1bf1d3 + 1 + + + + + + 14853 + 13669 + 33 + 20 + + + 14871 + 13679 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 52969ee4-d7e9-42b8-bd21-5bef06c6a92d + true + Count + Count + false + 8f60c651-4f0f-4481-9816-919bbdee7a7a + 1 + + + + + + 14853 + 13689 + 33 + 20 + + + 14871 + 13699 + + + + + + + + 1 + Series of numbers + 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 + true + Series + Series + false + 0 + + + + + + 14916 + 13649 + 34 + 60 + + + 14934.5 + 13679 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + af815646-47d5-42f6-83e4-d86113591719 + true + Number Slider + + false + 0 + + + + + + 14837 + 14498 + 150 + 20 + + + 14837.08 + 14498.52 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + b2801c2b-375a-4163-b78d-13fa2985f2c7 + true + Radians + Radians + + + + + + 14840 + 13864 + 120 + 28 + + + 14901 + 13878 + + + + + + Angle in degrees + 92b402f2-e002-45e9-810a-7626997b23e1 + true + Degrees + Degrees + false + f75ec5b3-bb3a-4926-8ec3-92d810a33dfd + 1 + + + + + + 14842 + 13866 + 44 + 24 + + + 14865.5 + 13878 + + + + + + + + Angle in radians + edbce4e2-4993-4d29-83d2-ab63c7ae5f03 + true + Radians + Radians + false + 0 + + + + + + 14916 + 13866 + 42 + 24 + + + 14938.5 + 13878 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 4549efe2-6ef9-495b-b73e-d57b1d8658c3 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 14777 + 14173 + 251 + 20 + + + 14777.79 + 14173.79 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 154082cc-7a35-4674-b6aa-b500c958394e + true + Interpolate (t) + Interpolate (t) + + + + + + 14826 + 11625 + 144 + 84 + + + 14912 + 11667 + + + + + + 1 + Interpolation points + 085e3c55-9916-4643-b326-6cb8667b9e47 + true + Vertices + Vertices + false + f1dc7722-f68a-4e76-a629-9d79f7fa672e + 1 + + + + + + 14828 + 11627 + 69 + 20 + + + 14864 + 11637 + + + + + + + + Tangent at start of curve + 8db3fd17-eaec-45f0-b573-63fe670a9e68 + true + Tangent Start + Tangent Start + false + 0 + + + + + + 14828 + 11647 + 69 + 20 + + + 14864 + 11657 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + b15ea709-c33c-4332-b228-c91dd9a2a4e0 + true + Tangent End + Tangent End + false + 0 + + + + + + 14828 + 11667 + 69 + 20 + + + 14864 + 11677 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 25fa54c6-e614-4918-b44e-ebc08692e71b + true + KnotStyle + KnotStyle + false + 0 + + + + + + 14828 + 11687 + 69 + 20 + + + 14864 + 11697 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + d88503dc-2c62-4e69-ba78-bfe7342a61a8 + true + Curve + Curve + false + 0 + + + + + + 14927 + 11627 + 41 + 26 + + + 14949 + 11640.33 + + + + + + + + Curve length + c4907d9d-8775-4b32-a2ce-76123d79df21 + true + Length + Length + false + 0 + + + + + + 14927 + 11653 + 41 + 27 + + + 14949 + 11667 + + + + + + + + Curve domain + 71f2995a-ce7f-4af1-81b8-73fa005125ec + true + Domain + Domain + false + 0 + + + + + + 14927 + 11680 + 41 + 27 + + + 14949 + 11693.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ae80dfe3-a313-4a88-92a6-a20ee6daf34f + adb121fb-0265-42e6-af4a-bbacd31ccdcd + c224342c-801f-4459-9224-44879ddf539f + becc2c8d-d4ff-402a-a84d-52b3646340a8 + af815646-47d5-42f6-83e4-d86113591719 + b2801c2b-375a-4163-b78d-13fa2985f2c7 + 4549efe2-6ef9-495b-b73e-d57b1d8658c3 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 41cbdf17-5670-4397-882a-c79b5a46405e + 48876b36-f626-482f-aaef-f2d6994b6eda + d7d14ac5-f97b-49bc-b1c5-f762228131a0 + 71563604-0f17-46fb-8b7b-3fdd0433bc46 + 3566668c-48cb-416c-9081-8c205676cb55 + 02bd4f03-e28f-42f6-b942-16421ebb3bff + 14 + aef0bf4e-e25c-416a-8bff-b54952ed560e + Group + + + + + + + + + + + 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 + 42c88318-5a88-4cc1-ab28-b1d73dd652d7 + true + Evaluate Length + Evaluate Length + + + + + + 14826 + 11457 + 144 + 64 + + + 14900 + 11489 + + + + + + Curve to evaluate + 33834da1-79a1-4625-9ee2-434b9837cc8e + true + Curve + Curve + false + d88503dc-2c62-4e69-ba78-bfe7342a61a8 + 1 + + + + + + 14828 + 11459 + 57 + 20 + + + 14858 + 11469 + + + + + + + + Length factor for curve evaluation + 13819db4-e774-41e8-aea3-31f69fa0763e + true + Length + Length + false + 0 + + + + + + 14828 + 11479 + 57 + 20 + + + 14858 + 11489 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 23dd6840-78f7-4ead-9d69-9b71c7fefb30 + true + Normalized + Normalized + false + 0 + + + + + + 14828 + 11499 + 57 + 20 + + + 14858 + 11509 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d6d0f16c-54ac-4295-9b0f-a8266e615099 + true + Point + Point + false + 0 + + + + + + 14915 + 11459 + 53 + 20 + + + 14943 + 11469 + + + + + + + + Tangent vector at the specified length + 2ad407a9-024e-4895-aa40-d775a50bb83b + true + Tangent + Tangent + false + 0 + + + + + + 14915 + 11479 + 53 + 20 + + + 14943 + 11489 + + + + + + + + Curve parameter at the specified length + 9d363ecb-7b03-42c9-9b02-cc3181eb0e26 + true + Parameter + Parameter + false + 0 + + + + + + 14915 + 11499 + 53 + 20 + + + 14943 + 11509 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 4196cce7-460e-4004-a74b-b9b355653474 + true + Mirror + Mirror + + + + + + 14829 + 11395 + 138 + 44 + + + 14897 + 11417 + + + + + + Base geometry + 5bb21746-b4df-477e-a676-ff397612bb3a + true + Geometry + Geometry + true + d88503dc-2c62-4e69-ba78-bfe7342a61a8 + 1 + + + + + + 14831 + 11397 + 51 + 20 + + + 14858 + 11407 + + + + + + + + Mirror plane + 77ed8759-61eb-4004-be75-4ccdc65d405c + true + Plane + Plane + false + bf1fee78-eb88-4160-8a82-9bb93579c084 + 1 + + + + + + 14831 + 11417 + 51 + 20 + + + 14858 + 11427 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + ed1b0dbf-24bd-4ff7-be7a-d274b307f13c + true + Geometry + Geometry + false + 0 + + + + + + 14912 + 11397 + 53 + 20 + + + 14940 + 11407 + + + + + + + + Transformation data + 31077e74-b262-4964-9a7c-689960ca5f18 + true + Transform + Transform + false + 0 + + + + + + 14912 + 11417 + 53 + 20 + + + 14940 + 11427 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 80dfd0f0-9792-40d9-85e6-db5ebe0eadf9 + true + Line SDL + Line SDL + + + + + + 14845 + 11541 + 106 + 64 + + + 14909 + 11573 + + + + + + Line start point + 29623dbf-7241-4bd8-8f70-d96af2dd738b + true + Start + Start + false + d6d0f16c-54ac-4295-9b0f-a8266e615099 + 1 + + + + + + 14847 + 11543 + 47 + 20 + + + 14872 + 11553 + + + + + + + + Line tangent (direction) + 8f1b2f1d-da3b-4cfd-8602-da06e5c8228e + true + Direction + Direction + false + 2ad407a9-024e-4895-aa40-d775a50bb83b + 1 + + + + + + 14847 + 11563 + 47 + 20 + + + 14872 + 11573 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 5b3b7c31-b896-4f5d-b437-71dec5618fb0 + true + Length + Length + false + 0 + + + + + + 14847 + 11583 + 47 + 20 + + + 14872 + 11593 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + bf1fee78-eb88-4160-8a82-9bb93579c084 + true + Line + Line + false + 0 + + + + + + 14924 + 11543 + 25 + 60 + + + 14938 + 11573 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + dfa591dc-8a9d-4616-9e21-0f4563b802ca + true + Join Curves + Join Curves + + + + + + 14839 + 11333 + 118 + 44 + + + 14902 + 11355 + + + + + + 1 + Curves to join + 77af013e-d83a-4fb0-97fc-faa7334a94a1 + true + Curves + Curves + false + d88503dc-2c62-4e69-ba78-bfe7342a61a8 + ed1b0dbf-24bd-4ff7-be7a-d274b307f13c + 2 + + + + + + 14841 + 11335 + 46 + 20 + + + 14865.5 + 11345 + + + + + + + + Preserve direction of input curves + 311e7075-f1e3-46d4-bda6-fda956f786d3 + true + Preserve + Preserve + false + 0 + + + + + + 14841 + 11355 + 46 + 20 + + + 14865.5 + 11365 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 47b67870-e525-4da9-897b-54c917b48e9f + true + Curves + Curves + false + 0 + + + + + + 14917 + 11335 + 38 + 40 + + + 14937.5 + 11355 + + + + + + + + + + + + 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 + 7344168c-2ee2-44a9-8393-8ce7cc783a0b + true + Evaluate Length + Evaluate Length + + + + + + 14826 + 11249 + 144 + 64 + + + 14900 + 11281 + + + + + + Curve to evaluate + 5a0c67d5-c964-44a4-8505-1bad1ff54c7c + true + Curve + Curve + false + 47b67870-e525-4da9-897b-54c917b48e9f + 1 + + + + + + 14828 + 11251 + 57 + 20 + + + 14858 + 11261 + + + + + + + + Length factor for curve evaluation + d1070862-339a-4899-a8a5-3e1d8b215022 + true + Length + Length + false + 0 + + + + + + 14828 + 11271 + 57 + 20 + + + 14858 + 11281 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 5e8d2367-9f92-4f0e-a6dd-0b178aa7842c + true + Normalized + Normalized + false + 0 + + + + + + 14828 + 11291 + 57 + 20 + + + 14858 + 11301 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + eba5b44d-c31a-488b-a39f-da838bbae658 + true + Point + Point + false + 0 + + + + + + 14915 + 11251 + 53 + 20 + + + 14943 + 11261 + + + + + + + + Tangent vector at the specified length + d8a5c4cb-be3d-4378-9e69-68a1e9aed991 + true + Tangent + Tangent + false + 0 + + + + + + 14915 + 11271 + 53 + 20 + + + 14943 + 11281 + + + + + + + + Curve parameter at the specified length + c0f8f4a8-6c43-47dc-8342-8943fd30d622 + true + Parameter + Parameter + false + 0 + + + + + + 14915 + 11291 + 53 + 20 + + + 14943 + 11301 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + a5f32588-ab0c-44eb-ba85-0e5af9e5b1a5 + true + Rotate + Rotate + + + + + + 14829 + 11166 + 138 + 64 + + + 14897 + 11198 + + + + + + Base geometry + c31c5198-8d67-4cf3-8204-e7dd8487af42 + true + Geometry + Geometry + true + 47b67870-e525-4da9-897b-54c917b48e9f + 1 + + + + + + 14831 + 11168 + 51 + 20 + + + 14858 + 11178 + + + + + + + + Rotation angle in radians + 7ae0de57-d0da-4430-91e0-90b64394e8ee + true + Angle + Angle + false + 0 + false + + + + + + 14831 + 11188 + 51 + 20 + + + 14858 + 11198 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 4bd8f105-113c-492d-874e-6ef6b77ab63a + true + Plane + Plane + false + eba5b44d-c31a-488b-a39f-da838bbae658 + 1 + + + + + + 14831 + 11208 + 51 + 20 + + + 14858 + 11218 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 3c6a0a5e-d557-46d7-a37d-6f4a05aaf344 + true + Geometry + Geometry + false + 0 + + + + + + 14912 + 11168 + 53 + 30 + + + 14940 + 11183 + + + + + + + + Transformation data + 1eeeba5c-687e-4375-a8bd-b8e3c7ca7a42 + true + Transform + Transform + false + 0 + + + + + + 14912 + 11198 + 53 + 30 + + + 14940 + 11213 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + e6f94cd8-4e8c-4079-a97c-93a4146e6a65 + true + Join Curves + Join Curves + + + + + + 14839 + 11103 + 118 + 44 + + + 14902 + 11125 + + + + + + 1 + Curves to join + 7f4f8a8c-0c2d-45c2-a138-33c236f9518e + true + Curves + Curves + false + 47b67870-e525-4da9-897b-54c917b48e9f + 3c6a0a5e-d557-46d7-a37d-6f4a05aaf344 + 2 + + + + + + 14841 + 11105 + 46 + 20 + + + 14865.5 + 11115 + + + + + + + + Preserve direction of input curves + 43bd2df2-6a1a-46d6-97f1-a63cc39c765d + true + Preserve + Preserve + false + 0 + + + + + + 14841 + 11125 + 46 + 20 + + + 14865.5 + 11135 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 87270a07-9b0e-4060-b369-56cff5f3c0ff + true + Curves + Curves + false + 0 + + + + + + 14917 + 11105 + 38 + 40 + + + 14937.5 + 11125 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 154082cc-7a35-4674-b6aa-b500c958394e + 42c88318-5a88-4cc1-ab28-b1d73dd652d7 + 4196cce7-460e-4004-a74b-b9b355653474 + 80dfd0f0-9792-40d9-85e6-db5ebe0eadf9 + dfa591dc-8a9d-4616-9e21-0f4563b802ca + 7344168c-2ee2-44a9-8393-8ce7cc783a0b + a5f32588-ab0c-44eb-ba85-0e5af9e5b1a5 + e6f94cd8-4e8c-4079-a97c-93a4146e6a65 + 467170c3-a747-450d-9db5-691d3222c764 + 131ff6e2-f7c7-4eab-b513-44501fc0b6a5 + 7553f3fd-a0e1-4ee6-9ccc-33ae6881a31e + f1dc7722-f68a-4e76-a629-9d79f7fa672e + 77c71397-d676-43a5-855e-28a04de20cf2 + 9856b67b-38f1-47bf-a90e-f1d15176eaba + 3436aa80-e9b3-4e21-b285-fc7f29fd2145 + 15 + c9ada40f-5341-47fb-b6d4-6794a5dca0f2 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 52262361-49d9-4469-8e9c-3f68257aa8fc + true + Panel + + false + 0 + 25a69c15-0d48-436c-8d7f-63db8b42c0e5 + 1 + Double click to edit panel content… + + + + + + 14830 + 13740 + 145 + 20 + + 0 + 0 + 0 + + 14830.82 + 13740.01 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 467170c3-a747-450d-9db5-691d3222c764 + true + Curve + Curve + false + 87270a07-9b0e-4060-b369-56cff5f3c0ff + 1 + + + + + + 14879 + 11067 + 50 + 24 + + + 14904.4 + 11079.59 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 467170c3-a747-450d-9db5-691d3222c764 + 1 + a4271c84-25cd-4656-b57b-6e1b9075a8c3 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 48876b36-f626-482f-aaef-f2d6994b6eda + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 14684 + 13948 + 439 + 20 + + 0 + 0 + 0 + + 14684.38 + 13948.1 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + a063af2c-0f6d-470c-a90b-c1c4d076f24c + true + Evaluate Length + Evaluate Length + + + + + + 14826 + 10977 + 144 + 64 + + + 14900 + 11009 + + + + + + Curve to evaluate + 51767dcf-d676-42f1-b9c0-d3c9f2a7bda0 + true + Curve + Curve + false + 87270a07-9b0e-4060-b369-56cff5f3c0ff + 1 + + + + + + 14828 + 10979 + 57 + 20 + + + 14858 + 10989 + + + + + + + + Length factor for curve evaluation + b2c11a07-c2ca-439e-8a1b-e49ed1c18ecd + true + Length + Length + false + 0 + + + + + + 14828 + 10999 + 57 + 20 + + + 14858 + 11009 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 2721858a-7863-41ef-a05e-b6f3636b0b4b + true + Normalized + Normalized + false + 0 + + + + + + 14828 + 11019 + 57 + 20 + + + 14858 + 11029 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 3f610739-66f6-4133-aa9c-ed9c6305e3f4 + true + Point + Point + false + 0 + + + + + + 14915 + 10979 + 53 + 20 + + + 14943 + 10989 + + + + + + + + Tangent vector at the specified length + 64f79a76-8a3d-4d8b-be29-9fed7f53e215 + true + Tangent + Tangent + false + 0 + + + + + + 14915 + 10999 + 53 + 20 + + + 14943 + 11009 + + + + + + + + Curve parameter at the specified length + abcabf8e-24de-45a4-bde5-7bcd371a8b8c + true + Parameter + Parameter + false + 0 + + + + + + 14915 + 11019 + 53 + 20 + + + 14943 + 11029 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 344dd78f-bc3b-4f6d-af05-f16bc0412c5a + true + Expression + Expression + + + + + + 14801 + 10755 + 194 + 28 + + + 14901 + 10769 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4d535d2c-bbe2-4b57-b7a6-c3954af9f7f1 + true + Variable O + O + true + fe418519-b8ba-4dbb-9e0f-b12fa9206367 + 1 + + + + + + 14803 + 10757 + 14 + 24 + + + 14811.5 + 10769 + + + + + + + + Result of expression + ef3bfa83-b838-434e-993d-51b7f1b8af4a + true + Result + + false + 0 + + + + + + 14984 + 10757 + 9 + 24 + + + 14990 + 10769 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 473634ed-a08c-4654-828a-ef2745fb8393 + true + Deconstruct + Deconstruct + + + + + + 14832 + 10889 + 132 + 64 + + + 14879 + 10921 + + + + + + Input point + 49002525-a6ba-442c-aa90-5322377ababe + true + Point + Point + false + 3f610739-66f6-4133-aa9c-ed9c6305e3f4 + 1 + + + + + + 14834 + 10891 + 30 + 60 + + + 14850.5 + 10921 + + + + + + + + Point {x} component + fe418519-b8ba-4dbb-9e0f-b12fa9206367 + true + X component + X component + false + 0 + + + + + + 14894 + 10891 + 68 + 20 + + + 14929.5 + 10901 + + + + + + + + Point {y} component + 15db37b0-02fc-435e-bc25-46b85ad3378f + true + Y component + Y component + false + 0 + + + + + + 14894 + 10911 + 68 + 20 + + + 14929.5 + 10921 + + + + + + + + Point {z} component + 715c06e8-a74c-4ace-8ec0-decda66aca63 + true + Z component + Z component + false + 0 + + + + + + 14894 + 10931 + 68 + 20 + + + 14929.5 + 10941 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b23dda2d-4cf2-4cb6-b260-5f3522944c45 + true + Panel + + false + 0 + ef3bfa83-b838-434e-993d-51b7f1b8af4a + 1 + Double click to edit panel content… + + + + + + 14823 + 10733 + 160 + 20 + + 0 + 0 + 0 + + 14823.17 + 10733.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 263a199d-3906-45d1-ac2e-72cea27641d2 + true + Expression + Expression + + + + + + 14801 + 10669 + 194 + 28 + + + 14901 + 10683 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8be8b8d1-37d4-41a5-a697-99646f965bd8 + true + Variable O + O + true + 15db37b0-02fc-435e-bc25-46b85ad3378f + 1 + + + + + + 14803 + 10671 + 14 + 24 + + + 14811.5 + 10683 + + + + + + + + Result of expression + c175e21a-e0f7-451b-949c-6db2cffdd08e + true + Result + + false + 0 + + + + + + 14984 + 10671 + 9 + 24 + + + 14990 + 10683 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 23fe9e65-96db-4c54-ad7a-0de18adbab80 + true + Panel + + false + 0 + c175e21a-e0f7-451b-949c-6db2cffdd08e + 1 + Double click to edit panel content… + + + + + + 14823 + 10644 + 160 + 20 + + 0 + 0 + 0 + + 14823.17 + 10644.74 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 341fbc99-3289-4790-b610-401be29ac2fc + true + Division + Division + + + + + + 14857 + 10567 + 82 + 44 + + + 14888 + 10589 + + + + + + Item to divide (dividend) + 55d58eb0-9439-434f-ba94-ef2b826950d0 + true + A + A + false + b23dda2d-4cf2-4cb6-b260-5f3522944c45 + 1 + + + + + + 14859 + 10569 + 14 + 20 + + + 14867.5 + 10579 + + + + + + + + Item to divide with (divisor) + b9673105-b4e7-4687-99e8-7cdb06e86a62 + true + B + B + false + 23fe9e65-96db-4c54-ad7a-0de18adbab80 + 1 + + + + + + 14859 + 10589 + 14 + 20 + + + 14867.5 + 10599 + + + + + + + + The result of the Division + 8ce03f10-5eea-4434-9d47-53e91dfeff6b + true + Result + Result + false + 0 + + + + + + 14903 + 10569 + 34 + 40 + + + 14921.5 + 10589 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d93403d2-b922-4f1b-a7a6-577adea13116 + true + Panel + + false + 0 + 25a69c15-0d48-436c-8d7f-63db8b42c0e5 + 1 + Double click to edit panel content… + + + + + + 14823 + 10497 + 160 + 20 + + 0 + 0 + 0 + + 14823.41 + 10497.23 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 8173c5fe-8e0e-41eb-86ac-aafc074e52c8 + true + Expression + Expression + + + + + + 14801 + 10520 + 194 + 28 + + + 14901 + 10534 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2706512d-c871-45eb-b886-7e623129892c + true + Variable O + O + true + 8ce03f10-5eea-4434-9d47-53e91dfeff6b + 1 + + + + + + 14803 + 10522 + 14 + 24 + + + 14811.5 + 10534 + + + + + + + + Result of expression + 2fd16187-6c8d-4e2a-9b75-62f1c843c3d9 + true + Result + + false + 0 + + + + + + 14984 + 10522 + 9 + 24 + + + 14990 + 10534 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 25a69c15-0d48-436c-8d7f-63db8b42c0e5 + true + Relay + + false + 2fd16187-6c8d-4e2a-9b75-62f1c843c3d9 + 1 + + + + + + 14878 + 10445 + 40 + 16 + + + 14898 + 10453 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + b45a9237-ddd9-4d64-89db-ebf9da902659 + true + Addition + Addition + + + + + + 14857 + 10382 + 82 + 44 + + + 14888 + 10404 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 29569677-0635-4d33-91ad-54e05df56384 + true + A + A + true + 23fe9e65-96db-4c54-ad7a-0de18adbab80 + 1 + + + + + + 14859 + 10384 + 14 + 20 + + + 14867.5 + 10394 + + + + + + + + Second item for addition + bf00d645-32ea-405f-97eb-186f51929b17 + true + B + B + true + b23dda2d-4cf2-4cb6-b260-5f3522944c45 + 1 + + + + + + 14859 + 10404 + 14 + 20 + + + 14867.5 + 10414 + + + + + + + + Result of addition + 1a440a1e-7ce2-491e-a325-6b1e9ba51631 + true + Result + Result + false + 0 + + + + + + 14903 + 10384 + 34 + 40 + + + 14921.5 + 10404 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + c2f1f768-86d4-4f76-ad79-7f2a0dcabb4e + true + Division + Division + + + + + + 14857 + 10232 + 82 + 44 + + + 14888 + 10254 + + + + + + Item to divide (dividend) + bae49b4d-bd39-409a-b739-4ce6565848d6 + true + A + A + false + 23ef0277-c564-455f-b452-6c0d11eebeb4 + 1 + + + + + + 14859 + 10234 + 14 + 20 + + + 14867.5 + 10244 + + + + + + + + Item to divide with (divisor) + e5fc7fb6-2a9f-47a3-b0bb-dbe4c19a01e0 + true + B + B + false + 0 + + + + + + 14859 + 10254 + 14 + 20 + + + 14867.5 + 10264 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 988498e2-0181-4b2d-aa29-a1ed8e769a34 + true + Result + Result + false + 0 + + + + + + 14903 + 10234 + 34 + 40 + + + 14921.5 + 10254 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e337558f-550d-4086-aca1-2c76451a8265 + true + Expression + Expression + + + + + + 14801 + 10184 + 194 + 28 + + + 14901 + 10198 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + b651c8f0-b8a4-44eb-b8a6-34be29beb2e4 + true + Variable O + O + true + 988498e2-0181-4b2d-aa29-a1ed8e769a34 + 1 + + + + + + 14803 + 10186 + 14 + 24 + + + 14811.5 + 10198 + + + + + + + + Result of expression + cb0edf30-d7b3-4458-b148-680f9ec8ac8b + true + Result + + false + 0 + + + + + + 14984 + 10186 + 9 + 24 + + + 14990 + 10198 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 654488ab-cbd5-4b27-abbc-fae35a1fcba2 + true + Panel + + false + 0 + cb0edf30-d7b3-4458-b148-680f9ec8ac8b + 1 + Double click to edit panel content… + + + + + + 14823 + 10161 + 160 + 20 + + 0 + 0 + 0 + + 14823.17 + 10161.09 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 23ef0277-c564-455f-b452-6c0d11eebeb4 + true + Panel + + false + 0 + 7f9cea07-b71a-44e7-a917-7cd22db590d6 + 1 + Double click to edit panel content… + + + + + + 14823 + 10313 + 160 + 20 + + 0 + 0 + 0 + + 14823.17 + 10313 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 795a343d-f80f-4476-bb42-ab4376f9b364 + true + Expression + Expression + + + + + + 14801 + 10335 + 194 + 28 + + + 14901 + 10349 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e13712ef-ac2a-4493-b392-aaa38c07f7ff + true + Variable O + O + true + 1a440a1e-7ce2-491e-a325-6b1e9ba51631 + 1 + + + + + + 14803 + 10337 + 14 + 24 + + + 14811.5 + 10349 + + + + + + + + Result of expression + 7f9cea07-b71a-44e7-a917-7cd22db590d6 + true + Result + + false + 0 + + + + + + 14984 + 10337 + 9 + 24 + + + 14990 + 10349 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + ebc157b3-3407-4a6d-a9bb-16a4b26b7bd8 + true + Scale + Scale + + + + + + 14821 + 10061 + 154 + 64 + + + 14905 + 10093 + + + + + + Base geometry + 055448bf-029b-491d-bc2d-9352756ad499 + true + Geometry + Geometry + true + 467170c3-a747-450d-9db5-691d3222c764 + 1 + + + + + + 14823 + 10063 + 67 + 20 + + + 14866 + 10073 + + + + + + + + Center of scaling + 3351799c-de4a-48fc-b46b-beca7594cf16 + true + Center + Center + false + 0 + + + + + + 14823 + 10083 + 67 + 20 + + + 14866 + 10093 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 03a7d3e4-aec3-4f35-a051-6ab099c004d8 + 1/X + true + Factor + Factor + false + 654488ab-cbd5-4b27-abbc-fae35a1fcba2 + 1 + + + + + + 14823 + 10103 + 67 + 20 + + + 14866 + 10113 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + b13ecf53-af5d-4706-9a96-c01d1fd8e5c4 + true + Geometry + Geometry + false + 0 + + + + + + 14920 + 10063 + 53 + 30 + + + 14948 + 10078 + + + + + + + + Transformation data + 14951772-67bd-479c-95bc-e66cc81f3d91 + true + Transform + Transform + false + 0 + + + + + + 14920 + 10093 + 53 + 30 + + + 14948 + 10108 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 4a84cf0c-40ed-4abf-b243-4081436673d6 + true + Curve + Curve + false + b13ecf53-af5d-4706-9a96-c01d1fd8e5c4 + 1 + + + + + + 14877 + 9466 + 50 + 24 + + + 14902.15 + 9478.595 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 74b7e1ea-51ea-4a7d-8398-fc7c6c939177 + true + Expression + Expression + + + + + + 14801 + 10842 + 194 + 28 + + + 14901 + 10856 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3402099a-5604-48c6-ace1-aa1805d2264d + true + Variable O + O + true + 715c06e8-a74c-4ace-8ec0-decda66aca63 + 1 + + + + + + 14803 + 10844 + 14 + 24 + + + 14811.5 + 10856 + + + + + + + + Result of expression + c3425892-f54d-45dd-a2c2-ee8519282c24 + true + Result + + false + 0 + + + + + + 14984 + 10844 + 9 + 24 + + + 14990 + 10856 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 40c04e3c-10b0-4be2-9dd0-3f635f9f1de3 + true + Panel + + false + 0 + c3425892-f54d-45dd-a2c2-ee8519282c24 + 1 + Double click to edit panel content… + + + + + + 14824 + 10818 + 160 + 20 + + 0 + 0 + 0 + + 14824.04 + 10818.94 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + f85a97dc-e0c1-4b62-95b2-48635a76a174 + true + Evaluate Length + Evaluate Length + + + + + + 14826 + 9851 + 144 + 64 + + + 14900 + 9883 + + + + + + Curve to evaluate + bc4c2fd5-62b4-410b-921d-c8878ee23fb5 + true + Curve + Curve + false + b13ecf53-af5d-4706-9a96-c01d1fd8e5c4 + 1 + + + + + + 14828 + 9853 + 57 + 20 + + + 14858 + 9863 + + + + + + + + Length factor for curve evaluation + b9a7defe-45bb-4a63-ad99-d8d3bd5a932d + true + Length + Length + false + 0 + + + + + + 14828 + 9873 + 57 + 20 + + + 14858 + 9883 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 508da502-4a0c-442b-9a9b-96bc47ec62b7 + true + Normalized + Normalized + false + 0 + + + + + + 14828 + 9893 + 57 + 20 + + + 14858 + 9903 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d19c05dd-c3ed-4302-9a11-7c2e48000d42 + true + Point + Point + false + 0 + + + + + + 14915 + 9853 + 53 + 20 + + + 14943 + 9863 + + + + + + + + Tangent vector at the specified length + 74ad9335-188a-4a17-b0ec-855bd73b90a4 + true + Tangent + Tangent + false + 0 + + + + + + 14915 + 9873 + 53 + 20 + + + 14943 + 9883 + + + + + + + + Curve parameter at the specified length + fcb135e4-3513-47b8-a678-1bca5faf48f6 + true + Parameter + Parameter + false + 0 + + + + + + 14915 + 9893 + 53 + 20 + + + 14943 + 9903 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b86a47c6-d6e0-4be7-a164-efdb7df953fe + true + Expression + Expression + + + + + + 14801 + 9634 + 194 + 28 + + + 14901 + 9648 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 2b1ffdd0-8bf0-40c2-8138-4227099c3c4c + true + Variable O + O + true + 8c774309-a3c0-4537-b044-d3c962ad3f9a + 1 + + + + + + 14803 + 9636 + 14 + 24 + + + 14811.5 + 9648 + + + + + + + + Result of expression + 132196d4-f6f2-426c-ad82-5d5be077fb73 + true + Result + + false + 0 + + + + + + 14984 + 9636 + 9 + 24 + + + 14990 + 9648 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 344b3637-27e1-449a-9d39-59102c35d000 + true + Deconstruct + Deconstruct + + + + + + 14832 + 9768 + 132 + 64 + + + 14879 + 9800 + + + + + + Input point + 15f9fbae-9682-4a52-9d14-029998c2f56c + true + Point + Point + false + d19c05dd-c3ed-4302-9a11-7c2e48000d42 + 1 + + + + + + 14834 + 9770 + 30 + 60 + + + 14850.5 + 9800 + + + + + + + + Point {x} component + 8c774309-a3c0-4537-b044-d3c962ad3f9a + true + X component + X component + false + 0 + + + + + + 14894 + 9770 + 68 + 20 + + + 14929.5 + 9780 + + + + + + + + Point {y} component + 6f0fc5a4-0e48-443c-b0e5-e23d991367d9 + true + Y component + Y component + false + 0 + + + + + + 14894 + 9790 + 68 + 20 + + + 14929.5 + 9800 + + + + + + + + Point {z} component + 6ad55e59-0e47-4916-8e60-d659c7cec473 + true + Z component + Z component + false + 0 + + + + + + 14894 + 9810 + 68 + 20 + + + 14929.5 + 9820 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2f4f9882-5af2-4380-85c1-45ca9027d1e7 + true + Panel + + false + 0 + 132196d4-f6f2-426c-ad82-5d5be077fb73 + 1 + Double click to edit panel content… + + + + + + 14823 + 9606 + 160 + 20 + + 0 + 0 + 0 + + 14823.42 + 9606.515 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + a401d7aa-70bb-4793-b7e7-19d100ac7774 + true + Expression + Expression + + + + + + 14801 + 9548 + 194 + 28 + + + 14901 + 9562 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d3ba31e8-191d-4be9-832d-e78e90f3c447 + true + Variable O + O + true + 6f0fc5a4-0e48-443c-b0e5-e23d991367d9 + 1 + + + + + + 14803 + 9550 + 14 + 24 + + + 14811.5 + 9562 + + + + + + + + Result of expression + 7d51fb3f-2e80-4afb-a65b-f5d0ffb5853f + true + Result + + false + 0 + + + + + + 14984 + 9550 + 9 + 24 + + + 14990 + 9562 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 30d40215-0eb8-44b6-9b46-d57410a768d6 + true + Panel + + false + 0 + 7d51fb3f-2e80-4afb-a65b-f5d0ffb5853f + 1 + Double click to edit panel content… + + + + + + 14823 + 9520 + 160 + 20 + + 0 + 0 + 0 + + 14823.43 + 9520.886 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 2e6664f3-e582-4617-821a-b355f412c58c + true + Expression + Expression + + + + + + 14801 + 9720 + 194 + 28 + + + 14901 + 9734 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 77907fed-61ce-4caa-8d79-e0d0953a2da7 + true + Variable O + O + true + 6ad55e59-0e47-4916-8e60-d659c7cec473 + 1 + + + + + + 14803 + 9722 + 14 + 24 + + + 14811.5 + 9734 + + + + + + + + Result of expression + 201fbfb4-227d-41e5-a45c-775bddec7020 + true + Result + + false + 0 + + + + + + 14984 + 9722 + 9 + 24 + + + 14990 + 9734 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ffb917a4-f88a-44d8-8873-e633c1b77f79 + true + Panel + + false + 0 + 201fbfb4-227d-41e5-a45c-775bddec7020 + 1 + Double click to edit panel content… + + + + + + 14823 + 9692 + 160 + 20 + + 0 + 0 + 0 + + 14823.17 + 9692.726 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d7d14ac5-f97b-49bc-b1c5-f762228131a0 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 14721 + 14027 + 379 + 104 + + 0 + 0 + 0 + + 14721.82 + 14027.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b7a4989e-d29c-4763-b390-a6211a60c766 + true + Panel + + false + 0 + 7afce703-9842-424c-827f-d839a2dfbe66 + 1 + Double click to edit panel content… + + + + + + 14735 + 12056 + 337 + 276 + + 0 + 0 + 0 + + 14735.36 + 12056.51 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 884d7e27-d1d4-4c46-9811-b5a25cb04385 + true + Expression + Expression + + + + + + 14801 + 12342 + 194 + 28 + + + 14901 + 12356 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7d963206-7a6e-4354-8fe5-e7029702e895 + true + Variable O + O + true + 919d17fe-401d-4453-ae1a-4909779e11cd + 1 + + + + + + 14803 + 12344 + 14 + 24 + + + 14811.5 + 12356 + + + + + + + + Result of expression + 7afce703-9842-424c-827f-d839a2dfbe66 + true + Result + + false + 0 + + + + + + 14984 + 12344 + 9 + 24 + + + 14990 + 12356 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 8f60c651-4f0f-4481-9816-919bbdee7a7a + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 14887 + 14456 + 50 + 24 + + + 14912.13 + 14468.81 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 437d0179-cf59-4b71-b44c-2f0819520383 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 14729 + 12624 + 160 + 224 + + + 14797 + 12736 + + + + + + 1 + One or multiple graph curves to graph map values with + 4daca2fd-27bb-4ac1-8aa9-e2830cec2ce8 + true + Curves + Curves + false + 39788c96-aabd-4b09-9fae-b7021665100d + 1 + + + + + + 14731 + 12626 + 51 + 27 + + + 14758 + 12639.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + b43ebe47-43be-4c98-982d-3e604e305b5c + true + Rectangle + Rectangle + false + c3972cbb-3a21-452a-95bc-32b3ab14e480 + 1 + + + + + + 14731 + 12653 + 51 + 28 + + + 14758 + 12667.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 1680bbd0-27e6-4e4a-a308-47746113261c + true + Values + Values + false + 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 + 1 + + + + + + 14731 + 12681 + 51 + 27 + + + 14758 + 12694.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 327f73d2-f4ed-434b-a802-7511e568157b + true + X Axis + X Axis + true + 0 + + + + + + 14731 + 12708 + 51 + 28 + + + 14758 + 12722.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 40e391a0-fab1-4f8c-b01c-3a86edcb7331 + true + Y Axis + Y Axis + true + 0 + + + + + + 14731 + 12736 + 51 + 27 + + + 14758 + 12749.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 45c209b6-5d24-488c-86db-67e9d4aac2d8 + true + Flip + Flip + false + 0 + + + + + + 14731 + 12763 + 51 + 28 + + + 14758 + 12777.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 046456cd-7ab7-4d3f-be8b-d0558a0102bf + true + Snap + Snap + false + 0 + + + + + + 14731 + 12791 + 51 + 27 + + + 14758 + 12804.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + 4913e238-4b62-4792-8139-51e331323932 + true + Text Size + Text Size + false + 0 + + + + + + 14731 + 12818 + 51 + 28 + + + 14758 + 12832.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 51ebff00-4f28-45f1-a705-6137a5ec920e + true + Mapped + Mapped + false + 0 + + + + + + 14812 + 12626 + 75 + 20 + + + 14851 + 12636 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 8eced9e2-33a5-4caa-b2b0-6219a48e1255 + true + Graph Curves + Graph Curves + false + 0 + + + + + + 14812 + 12646 + 75 + 20 + + + 14851 + 12656 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 4bceeb7b-575b-4ceb-8faa-34268d674409 + true + Graph Points + Graph Points + false + 0 + + + + + + 14812 + 12666 + 75 + 20 + + + 14851 + 12676 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + e3fc6867-8531-4d87-a97f-b4c337aaa605 + true + Value Lines + Value Lines + false + 0 + + + + + + 14812 + 12686 + 75 + 20 + + + 14851 + 12696 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + 08be0919-1be5-4c30-bb99-77a014722e0e + true + Value Points + Value Points + false + 0 + + + + + + 14812 + 12706 + 75 + 20 + + + 14851 + 12716 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 2be29823-8e74-47d3-9bb5-197cc0156986 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 14812 + 12726 + 75 + 20 + + + 14851 + 12736 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 1316ccdc-8f6d-4ffc-8758-6a9f9d72df1c + true + Mapped Points + Mapped Points + false + 0 + + + + + + 14812 + 12746 + 75 + 20 + + + 14851 + 12756 + + + + + + + + The graph boundary background as a surface + 66e72179-b40b-4c77-821c-7710ac3d6fed + true + Boundary + Boundary + false + 0 + + + + + + 14812 + 12766 + 75 + 20 + + + 14851 + 12776 + + + + + + + + 1 + The graph labels as curve outlines + b979fe8b-19d4-4b4f-bbe3-487173c62ecb + true + Labels + Labels + false + 0 + + + + + + 14812 + 12786 + 75 + 20 + + + 14851 + 12796 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 804282b1-0c62-4c5e-8432-87024a61600e + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 14812 + 12806 + 75 + 20 + + + 14851 + 12816 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + ec267d25-f96f-4f6f-a88d-90917360037b + true + Intersected + Intersected + false + 0 + + + + + + 14812 + 12826 + 75 + 20 + + + 14851 + 12836 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 97f21de3-e5ca-44d8-b46b-64b07047104c + true + End Points + End Points + + + + + + 14850 + 13049 + 96 + 44 + + + 14900 + 13071 + + + + + + Curve to evaluate + 1eb0f09e-6088-4881-83d8-6107ba812fd5 + true + Curve + Curve + false + 39788c96-aabd-4b09-9fae-b7021665100d + 1 + + + + + + 14852 + 13051 + 33 + 40 + + + 14870 + 13071 + + + + + + + + Curve start point + 996880aa-b8a3-46fc-9974-f8a44a5d969f + true + Start + Start + false + 0 + + + + + + 14915 + 13051 + 29 + 20 + + + 14931 + 13061 + + + + + + + + Curve end point + b0de7bd5-364a-402f-8a3b-ba0234d43fcb + true + End + End + false + 0 + + + + + + 14915 + 13071 + 29 + 20 + + + 14931 + 13081 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 253cf695-782b-4de5-9fbb-cabcf3a053b2 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 14835 + 12947 + 126 + 84 + + + 14893 + 12989 + + + + + + Rectangle base plane + 9bd0e2d0-a43b-4537-a6be-291a181d0d91 + true + Plane + Plane + false + 0 + + + + + + 14837 + 12949 + 41 + 20 + + + 14859 + 12959 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 0670bb77-792e-4d60-b691-7578c90235ee + true + Point A + Point A + false + 996880aa-b8a3-46fc-9974-f8a44a5d969f + 1 + + + + + + 14837 + 12969 + 41 + 20 + + + 14859 + 12979 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 8bd66708-4e85-44e7-bbd4-15be8b822c63 + true + Point B + Point B + false + b0de7bd5-364a-402f-8a3b-ba0234d43fcb + 1 + + + + + + 14837 + 12989 + 41 + 20 + + + 14859 + 12999 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 17fa8c6a-5c86-4f19-8a79-1a70ab690d3f + true + Radius + Radius + false + 0 + + + + + + 14837 + 13009 + 41 + 20 + + + 14859 + 13019 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + c3972cbb-3a21-452a-95bc-32b3ab14e480 + true + Rectangle + Rectangle + false + 0 + + + + + + 14908 + 12949 + 51 + 40 + + + 14935 + 12969 + + + + + + + + Length of rectangle curve + 40cbc40d-63dc-4b88-a812-c44142f56e09 + true + Length + Length + false + 0 + + + + + + 14908 + 12989 + 51 + 40 + + + 14935 + 13009 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + 97691683-4494-42b5-bac4-02ec9576c740 + true + GraphMapper+ + GraphMapper+ + + + + + false + + + + + + 14889 + 12744 + 126 + 104 + + + 14956 + 12796 + + + + + + External curve as a graph + be0887a1-fa54-4d11-96aa-172cc99bfd38 + true + Curve + Curve + false + 39788c96-aabd-4b09-9fae-b7021665100d + 1 + + + + + + 14891 + 12746 + 50 + 20 + + + 14917.5 + 12756 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + a865eb98-223f-43f3-b579-ff4f181f7bbe + true + Boundary + Boundary + true + c3972cbb-3a21-452a-95bc-32b3ab14e480 + 1 + + + + + + 14891 + 12766 + 50 + 20 + + + 14917.5 + 12776 + + + + + + + + 1 + List of input numbers + a78c0fc2-9b92-46e3-9e16-f4d37af75e5d + true + Numbers + Numbers + false + 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 + 1 + + + + + + 14891 + 12786 + 50 + 20 + + + 14917.5 + 12796 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 0ae76062-5472-4f8b-8b7c-a1c9c58f5765 + true + Input + Input + true + fe3e5fc8-0f03-445e-b5de-af144f26b7ee + 1 + + + + + + 14891 + 12806 + 50 + 20 + + + 14917.5 + 12816 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + cfa22c6c-db44-442c-b7c3-e5379bc0e946 + true + Output + Output + true + fe3e5fc8-0f03-445e-b5de-af144f26b7ee + 1 + + + + + + 14891 + 12826 + 50 + 20 + + + 14917.5 + 12836 + + + + + + + + 1 + Output Numbers + d085702b-986e-44bc-9e0a-99cda6fcffa6 + true + Number + Number + false + 0 + + + + + + 14971 + 12746 + 42 + 100 + + + 14993.5 + 12796 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + df89b0dd-b37d-4dd1-b093-cce1b1dca103 + true + Stream Filter + Stream Filter + + + + + + 14864 + 12541 + 89 + 64 + + + 14909 + 12573 + + + + + + 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 + 3f328968-fae5-444c-964b-029441bfd16d + true + Gate + Gate + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 14866 + 12543 + 28 + 20 + + + 14881.5 + 12553 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + bdb43fd9-b49d-4458-b940-eabd27432783 + true + false + Stream 0 + 0 + true + 51ebff00-4f28-45f1-a705-6137a5ec920e + 1 + + + + + + 14866 + 12563 + 28 + 20 + + + 14881.5 + 12573 + + + + + + + + 2 + Input stream at index 1 + 79584586-bd5e-46c5-8b89-cd75776eedff + true + false + Stream 1 + 1 + true + d085702b-986e-44bc-9e0a-99cda6fcffa6 + 1 + + + + + + 14866 + 12583 + 28 + 20 + + + 14881.5 + 12593 + + + + + + + + 2 + Filtered stream + 9af3e55d-34ce-45a8-a8db-6eaa07661438 + true + false + Stream + S(1) + false + 0 + + + + + + 14924 + 12543 + 27 + 60 + + + 14939 + 12573 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + ff43fc76-5f3f-4cc4-84fb-7a68f99e8220 + true + Number Slider + + false + 0 + + + + + + 14833 + 12468 + 150 + 20 + + + 14833.79 + 12468.11 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 71563604-0f17-46fb-8b7b-3fdd0433bc46 + true + Panel + + false + 1 + 1633c81a-5d0e-4716-9f3f-3bd0dba726f8 + 1 + Double click to edit panel content… + + + + + + 14813 + 13243 + 185 + 271 + + 0 + 0 + 0 + + 14813.86 + 13243.37 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 41cbdf17-5670-4397-882a-c79b5a46405e + true + Bounds + Bounds + + + + + + 14839 + 13188 + 122 + 28 + + + 14903 + 13202 + + + + + + 1 + Numbers to include in Bounds + b2df8cb2-b69c-4a9b-a04a-eef046645962 + true + Numbers + Numbers + false + 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 + 1 + + + + + + 14841 + 13190 + 47 + 24 + + + 14866 + 13202 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + fe3e5fc8-0f03-445e-b5de-af144f26b7ee + true + Domain + Domain + false + 0 + + + + + + 14918 + 13190 + 41 + 24 + + + 14940 + 13202 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3566668c-48cb-416c-9081-8c205676cb55 + true + Expression + Expression + + + + + + 14801 + 13602 + 194 + 28 + + + 14901 + 13616 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f872cac5-2d98-4d6e-a563-a311f5ea871e + true + Variable O + O + true + 2a3fb0e2-1b6e-45ee-ac54-fc68cfba59e5 + 1 + + + + + + 14803 + 13604 + 14 + 24 + + + 14811.5 + 13616 + + + + + + + + Result of expression + 1633c81a-5d0e-4716-9f3f-3bd0dba726f8 + true + Result + + false + 0 + + + + + + 14984 + 13604 + 9 + 24 + + + 14990 + 13616 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 829f9269-b7d0-4fae-911e-33607d6d8974 + true + Expression + Expression + + + + + + 14715 + 13816 + 367 + 28 + + + 14901 + 13830 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4ad10f9e-ee45-4d3b-a404-4c54cf04638b + true + Variable O + O + true + edbce4e2-4993-4d29-83d2-ab63c7ae5f03 + 1 + + + + + + 14717 + 13818 + 14 + 24 + + + 14725.5 + 13830 + + + + + + + + Result of expression + 119e2cfe-1040-4089-9143-3e060c7430c4 + true + Result + + false + 0 + + + + + + 15071 + 13818 + 9 + 24 + + + 15077 + 13830 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 13ee932b-d7c2-4da3-a838-3c1d3a1bf1d3 + true + Panel + + false + 0 + 119e2cfe-1040-4089-9143-3e060c7430c4 + 1 + Double click to edit panel content… + + + + + + 14814 + 13780 + 179 + 20 + + 0 + 0 + 0 + + 14814 + 13780.23 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 1 + 0153e69e-17b6-46d3-aabe-eea050991035 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 692b3785-26a1-4388-8495-da08f520e287 + true + Scale + Scale + + + + + + 14821 + 9976 + 154 + 64 + + + 14905 + 10008 + + + + + + Base geometry + 3b9531fe-61d9-4022-885c-c48905321386 + true + Geometry + Geometry + true + f1dc7722-f68a-4e76-a629-9d79f7fa672e + 1 + + + + + + 14823 + 9978 + 67 + 20 + + + 14866 + 9988 + + + + + + + + Center of scaling + cf749370-c402-4cc6-bf22-29582f56547d + true + Center + Center + false + 0 + + + + + + 14823 + 9998 + 67 + 20 + + + 14866 + 10008 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 7d69fad2-48ca-4430-b99f-98ca97bf4399 + 1/X + true + Factor + Factor + false + 654488ab-cbd5-4b27-abbc-fae35a1fcba2 + 1 + + + + + + 14823 + 10018 + 67 + 20 + + + 14866 + 10028 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + ec263a25-cf9a-445a-a6b3-c27727742d4b + true + Geometry + Geometry + false + 0 + + + + + + 14920 + 9978 + 53 + 30 + + + 14948 + 9993 + + + + + + + + Transformation data + 9a54f3e6-3462-43c2-ac38-2776717a8d69 + true + Transform + Transform + false + 0 + + + + + + 14920 + 10008 + 53 + 30 + + + 14948 + 10023 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + bc35ec24-ae25-4161-a748-94c38b2e5b2f + true + Point + Point + false + ec263a25-cf9a-445a-a6b3-c27727742d4b + 1 + + + + + + 14878 + 9944 + 50 + 24 + + + 14903.15 + 9956.765 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 1e7adb91-c83d-4184-b2d9-5c5c37b7cd2f + true + Mirror + Mirror + + + + + + 14843 + 9336 + 138 + 44 + + + 14911 + 9358 + + + + + + Base geometry + 83249ca0-d1d9-4433-9a38-059aca0579cf + true + Geometry + Geometry + true + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 1 + + + + + + 14845 + 9338 + 51 + 20 + + + 14872 + 9348 + + + + + + + + Mirror plane + 0da48253-1251-4e8c-ae88-ddbb4fb49a4f + true + Plane + Plane + false + 0 + + + + + + 14845 + 9358 + 51 + 20 + + + 14872 + 9368 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 6775e49e-78be-4bb4-9389-0460dfffb47d + true + Geometry + Geometry + false + 0 + + + + + + 14926 + 9338 + 53 + 20 + + + 14954 + 9348 + + + + + + + + Transformation data + a7bf2d2e-ed7b-49b9-b0eb-c3d0dcd00376 + true + Transform + Transform + false + 0 + + + + + + 14926 + 9358 + 53 + 20 + + + 14954 + 9368 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e464e48a-068a-4ad2-882b-5575331b82f3 + true + Curve + Curve + false + 2accfed9-20fe-4fe7-a09a-0d2b73f49681 + 1 + + + + + + 14885 + 9236 + 50 + 24 + + + 14910.4 + 9248.774 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 39788c96-aabd-4b09-9fae-b7021665100d + true + Relay + + false + 30f1aeb6-04ea-4fe8-852c-5ed8dc024dc6 + 1 + + + + + + 14880 + 13116 + 40 + 16 + + + 14900 + 13124 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + b71595bd-e6c2-48f2-9231-dee5fcbf6dd4 + true + Curve + Curve + false + b8d85362-f01a-418f-bed8-eb23f9a2d815 + 1 + + + + + + 14447 + 13512 + 50 + 24 + + + 14472.9 + 13524.23 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 30f1aeb6-04ea-4fe8-852c-5ed8dc024dc6 + true + Curve + Curve + false + 97a11420-64a1-4355-8680-cc42c8625cb8 + 1 + + + + + + 14446 + 13222 + 50 + 24 + + + 14471.99 + 13234.38 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 401d7467-8f4c-4ce8-8405-e255f5960f0c + true + Scale + Scale + + + + + + 14390 + 13255 + 154 + 64 + + + 14474 + 13287 + + + + + + Base geometry + 95c87839-9e75-4f46-b0cc-26e586907b1d + true + Geometry + Geometry + true + b71595bd-e6c2-48f2-9231-dee5fcbf6dd4 + 1 + + + + + + 14392 + 13257 + 67 + 20 + + + 14435 + 13267 + + + + + + + + Center of scaling + 49ad0cdc-cdd2-4d4f-ac3b-e1d59da664a7 + true + Center + Center + false + 0 + + + + + + 14392 + 13277 + 67 + 20 + + + 14435 + 13287 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 1ed73718-340a-426f-b207-1ad96765fbd8 + 2^X + true + Factor + Factor + false + 75982fc8-fa2e-4674-8521-53f85dae61b7 + 1 + + + + + + 14392 + 13297 + 67 + 20 + + + 14435 + 13307 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 97a11420-64a1-4355-8680-cc42c8625cb8 + true + Geometry + Geometry + false + 0 + + + + + + 14489 + 13257 + 53 + 30 + + + 14517 + 13272 + + + + + + + + Transformation data + b3a60948-7fe9-4da7-8703-fb925de953e5 + true + Transform + Transform + false + 0 + + + + + + 14489 + 13287 + 53 + 30 + + + 14517 + 13302 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b71595bd-e6c2-48f2-9231-dee5fcbf6dd4 + 30f1aeb6-04ea-4fe8-852c-5ed8dc024dc6 + 401d7467-8f4c-4ce8-8405-e255f5960f0c + 27899f96-8899-44d3-a06c-50d23c4c5623 + d090fbd1-93ba-4c0f-aae1-29dc34717e7f + 053a3b78-8041-49d3-9e18-7c2f32b62bd8 + c87da551-603b-49bc-b814-b685bcd3e395 + 091239b6-a510-4e47-bf40-15534370a9fc + 75982fc8-fa2e-4674-8521-53f85dae61b7 + e699aaab-2bc6-4d1d-8873-dd539208c621 + 8520bb61-2a13-4c0a-89eb-863a393c064f + 11 + b85811c5-8969-4501-a97d-7f43b2611be6 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 72156254-a964-41b6-b774-888d3598d1fa + true + Move + Move + + + + + + 14843 + 9272 + 138 + 44 + + + 14911 + 9294 + + + + + + Base geometry + 669ab31c-363a-4f90-ac31-c21d2c5875d4 + true + Geometry + Geometry + true + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 1 + + + + + + 14845 + 9274 + 51 + 20 + + + 14872 + 9284 + + + + + + + + Translation vector + c7efb812-a534-4c19-9c5c-22f0bb98a157 + true + Motion + Motion + false + 0 + + + + + + 14845 + 9294 + 51 + 20 + + + 14872 + 9304 + + + + + + 1 + + + + + 1 + {0} + + + + + + 17.5 + 0 + 0 + + + + + + + + + + + + Translated geometry + 2accfed9-20fe-4fe7-a09a-0d2b73f49681 + true + Geometry + Geometry + false + 0 + + + + + + 14926 + 9274 + 53 + 20 + + + 14954 + 9284 + + + + + + + + Transformation data + 141d7349-5e01-4523-90cb-61cfab2ace34 + true + Transform + Transform + false + 0 + + + + + + 14926 + 9294 + 53 + 20 + + + 14954 + 9304 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + d090fbd1-93ba-4c0f-aae1-29dc34717e7f + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 14344 + 13468 + 250 + 20 + + + 14344.72 + 13468.61 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 053a3b78-8041-49d3-9e18-7c2f32b62bd8 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 14404 + 13347 + 144 + 20 + + 0 + 0 + 0 + + 14404.46 + 13347.09 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c87da551-603b-49bc-b814-b685bcd3e395 + true + Curve + Curve + false + 0 + + + + + + 14446 + 13179 + 50 + 24 + + + 14471.99 + 13191.38 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 091239b6-a510-4e47-bf40-15534370a9fc + true + Curve + Curve + false + 0 + + + + + + 14450 + 13649 + 50 + 24 + + + 14475.49 + 13661.33 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a3df510c-09a6-46f2-9917-2dae06f260dc + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 14684 + 13990 + 439 + 20 + + 0 + 0 + 0 + + 14684.38 + 13990.7 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + fd2ba8cc-bf96-4218-9514-39645e334859 + true + End Points + End Points + + + + + + 15268 + 9967 + 96 + 44 + + + 15318 + 9989 + + + + + + Curve to evaluate + 073ce65e-45e5-453e-a2a0-93516570e9af + true + Curve + Curve + false + 7c1faeaa-a31d-42ec-9777-daaf2068bcb8 + 1 + + + + + + 15270 + 9969 + 33 + 40 + + + 15288 + 9989 + + + + + + + + Curve start point + eb9cded9-b336-4de5-835c-df04b5134dd9 + true + Start + Start + false + 0 + + + + + + 15333 + 9969 + 29 + 20 + + + 15349 + 9979 + + + + + + + + Curve end point + 2fbdccd7-f07a-4a4b-9905-477279ebdabf + true + End + End + false + 0 + + + + + + 15333 + 9989 + 29 + 20 + + + 15349 + 9999 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + af194ecd-d002-477d-8e26-9c63739293d4 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 15253 + 9864 + 126 + 84 + + + 15311 + 9906 + + + + + + Rectangle base plane + 786053ab-b2f4-4a89-a23c-9fcb637b0f97 + true + Plane + Plane + false + 0 + + + + + + 15255 + 9866 + 41 + 20 + + + 15277 + 9876 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + cc3b9dda-2a77-441c-916d-24bd00aa6fb3 + true + Point A + Point A + false + eb9cded9-b336-4de5-835c-df04b5134dd9 + 1 + + + + + + 15255 + 9886 + 41 + 20 + + + 15277 + 9896 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 60c59750-e574-49d0-99ba-3300e47d596e + true + Point B + Point B + false + 2fbdccd7-f07a-4a4b-9905-477279ebdabf + 1 + + + + + + 15255 + 9906 + 41 + 20 + + + 15277 + 9916 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 10 + 5 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 4252f0f7-8ed9-4c3a-af84-3304fb628ed0 + true + Radius + Radius + false + 0 + + + + + + 15255 + 9926 + 41 + 20 + + + 15277 + 9936 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + eaa3b8e7-ad2c-40d0-a774-c7ae529b8623 + true + Rectangle + Rectangle + false + 0 + + + + + + 15326 + 9866 + 51 + 40 + + + 15353 + 9886 + + + + + + + + Length of rectangle curve + 9aa261e0-652b-4064-aa27-14bb088b0014 + true + Length + Length + false + 0 + + + + + + 15326 + 9906 + 51 + 40 + + + 15353 + 9926 + + + + + + + + + + + + e5c33a79-53d5-4f2b-9a97-d3d45c780edc + Deconstuct Rectangle + + + + + Retrieve the base plane and side intervals of a rectangle. + true + aab66b17-6468-479c-b7a0-d03e4a8780bb + true + Deconstuct Rectangle + Deconstuct Rectangle + + + + + + 15245 + 9781 + 142 + 64 + + + 15313 + 9813 + + + + + + Rectangle to deconstruct + f7502532-c2d8-4e1f-95ca-366697e5855c + true + Rectangle + Rectangle + false + eaa3b8e7-ad2c-40d0-a774-c7ae529b8623 + 1 + + + + + + 15247 + 9783 + 51 + 60 + + + 15274 + 9813 + + + + + + + + Base plane of rectangle + bef136bc-2dfc-43b7-b789-fe56a7de3bcd + true + Base Plane + Base Plane + false + 0 + + + + + + 15328 + 9783 + 57 + 20 + + + 15358 + 9793 + + + + + + + + Size interval along base plane X axis + f32c565a-b5e2-459d-a92e-cc99bfcb707f + true + X Interval + X Interval + false + 0 + + + + + + 15328 + 9803 + 57 + 20 + + + 15358 + 9813 + + + + + + + + Size interval along base plane Y axis + 14ec8ccf-9794-4186-8bbe-a2724170e7ee + true + Y Interval + Y Interval + false + 0 + + + + + + 15328 + 9823 + 57 + 20 + + + 15358 + 9833 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + cbd7d4de-a164-41e0-9457-03b5798d5e2f + true + Deconstruct Domain + Deconstruct Domain + + + + + + 15264 + 9654 + 104 + 44 + + + 15322 + 9676 + + + + + + Base domain + b991163d-1716-4a2e-af37-2f84b4ebdd37 + true + Domain + Domain + false + 14ec8ccf-9794-4186-8bbe-a2724170e7ee + 1 + + + + + + 15266 + 9656 + 41 + 40 + + + 15288 + 9676 + + + + + + + + Start of domain + c650db4e-b8c2-4afa-9b6f-4a0555dd57b8 + true + Start + Start + false + 0 + + + + + + 15337 + 9656 + 29 + 20 + + + 15353 + 9666 + + + + + + + + End of domain + 860f34a3-af3c-4c29-a3f6-51d786913642 + true + End + End + false + 0 + + + + + + 15337 + 9676 + 29 + 20 + + + 15353 + 9686 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + daa6a5fa-06cc-407b-b1aa-7c254a55b12e + true + Deconstruct Domain + Deconstruct Domain + + + + + + 15264 + 9716 + 104 + 44 + + + 15322 + 9738 + + + + + + Base domain + b10a06dd-aee7-42aa-a2b7-fca81c821403 + true + Domain + Domain + false + f32c565a-b5e2-459d-a92e-cc99bfcb707f + 1 + + + + + + 15266 + 9718 + 41 + 40 + + + 15288 + 9738 + + + + + + + + Start of domain + 48ef0500-bc98-42ab-baa8-c3dd85d5219a + true + Start + Start + false + 0 + + + + + + 15337 + 9718 + 29 + 20 + + + 15353 + 9728 + + + + + + + + End of domain + feb88bc5-ad3d-45e7-9b23-a9bec6dd8d6a + true + End + End + false + 0 + + + + + + 15337 + 9738 + 29 + 20 + + + 15353 + 9748 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + d7d7a5ba-4476-45fe-a520-a333d888593f + true + Scale NU + Scale NU + + + + + + 15239 + 9531 + 154 + 104 + + + 15323 + 9583 + + + + + + Base geometry + f098e72c-2e94-40b1-888d-61cb8b3cd04b + true + Geometry + Geometry + true + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 1 + + + + + + 15241 + 9533 + 67 + 20 + + + 15284 + 9543 + + + + + + + + Base plane + 12a2ddea-6385-498a-a432-6ca8279dc1dd + true + Plane + Plane + false + 0 + + + + + + 15241 + 9553 + 67 + 20 + + + 15284 + 9563 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + 1df6a8ef-db74-465c-bec5-e3073ba576f5 + 1/X + true + Scale X + Scale X + false + feb88bc5-ad3d-45e7-9b23-a9bec6dd8d6a + 1 + + + + + + 15241 + 9573 + 67 + 20 + + + 15284 + 9583 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + c2f8db1c-adea-4013-ab8a-2aba6a1f6f40 + 1/X + true + Scale Y + Scale Y + false + 860f34a3-af3c-4c29-a3f6-51d786913642 + 1 + + + + + + 15241 + 9593 + 67 + 20 + + + 15284 + 9603 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + 967d67fc-5a70-402d-9a19-03c62e441d53 + true + Scale Z + Scale Z + false + 0 + + + + + + 15241 + 9613 + 67 + 20 + + + 15284 + 9623 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 18f30baa-9a05-426f-b9c1-e54aeddd0461 + true + Geometry + Geometry + false + 0 + + + + + + 15338 + 9533 + 53 + 50 + + + 15366 + 9558 + + + + + + + + Transformation data + 2463acfb-4a46-4d0d-a2fb-99c16a27d7a3 + true + Transform + Transform + false + 0 + + + + + + 15338 + 9583 + 53 + 50 + + + 15366 + 9608 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + fd2ba8cc-bf96-4218-9514-39645e334859 + af194ecd-d002-477d-8e26-9c63739293d4 + aab66b17-6468-479c-b7a0-d03e4a8780bb + cbd7d4de-a164-41e0-9457-03b5798d5e2f + daa6a5fa-06cc-407b-b1aa-7c254a55b12e + d7d7a5ba-4476-45fe-a520-a333d888593f + 7c1faeaa-a31d-42ec-9777-daaf2068bcb8 + 9cdccbe3-88c1-4358-b357-52199f288269 + dff8e557-4997-4e11-b51b-771fd8a3ea77 + 8c30f270-d17e-4542-bcbc-8ff2320f35a6 + 5cf6e27c-da4b-4d95-8f2d-d8cffbb3165d + 792d6552-db97-41fd-9828-9246e372cd65 + 12 + 3910df5f-dfc5-47ca-80c9-3aafb9e5537c + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 7c1faeaa-a31d-42ec-9777-daaf2068bcb8 + true + Curve + Curve + false + 4a84cf0c-40ed-4abf-b243-4081436673d6 + 1 + + + + + + 15296 + 10041 + 50 + 24 + + + 15321.04 + 10053.98 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9cdccbe3-88c1-4358-b357-52199f288269 + true + Curve + Curve + false + 18f30baa-9a05-426f-b9c1-e54aeddd0461 + 1 + + + + + + 15292 + 9490 + 50 + 24 + + + 15317.82 + 9502.23 + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + dff8e557-4997-4e11-b51b-771fd8a3ea77 + true + Move + Move + + + + + + 15245 + 9278 + 138 + 44 + + + 15313 + 9300 + + + + + + Base geometry + bf1d551d-124e-4eaf-b3d5-a91375948002 + true + Geometry + Geometry + true + 9cdccbe3-88c1-4358-b357-52199f288269 + 1 + + + + + + 15247 + 9280 + 51 + 20 + + + 15274 + 9290 + + + + + + + + Translation vector + fe6febf5-f3f3-4701-b48c-c207b2bed3e4 + true + Motion + Motion + false + bfccd18e-cb91-484e-8a45-84b5da37edcf + 1 + + + + + + 15247 + 9300 + 51 + 20 + + + 15274 + 9310 + + + + + + 1 + + + + + 1 + {0} + + + + + + 5 + 1.5 + 0 + + + + + + + + + + + + Translated geometry + 95a6f769-c7b8-4c80-89bf-6857a334a92f + true + Geometry + Geometry + false + 0 + + + + + + 15328 + 9280 + 53 + 20 + + + 15356 + 9290 + + + + + + + + Transformation data + 24b87990-ce80-4b23-bd43-2dc1d747ba1d + true + Transform + Transform + false + 0 + + + + + + 15328 + 9300 + 53 + 20 + + + 15356 + 9310 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 8c30f270-d17e-4542-bcbc-8ff2320f35a6 + true + Curve + Curve + false + 95a6f769-c7b8-4c80-89bf-6857a334a92f + 1 + + + + + + 15293 + 9236 + 50 + 24 + + + 15318.15 + 9248.443 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d6f9f9a9-5843-47cf-9a34-30c7b60e9ab5 + true + Panel + + false + 0 + 0 + 0.00032220000 +0.00000220000 + + + + + + 14684 + 14151 + 439 + 22 + + 0 + 0 + 0 + + 14684.68 + 14151.66 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 6d00f775-cac7-4be0-817a-ba7895cf23e3 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 14777 + 14302 + 251 + 20 + + + 14777.29 + 14302.06 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 588d1c54-5e44-420c-80ce-3cb6c604d9d3 + true + Panel + + false + 0 + 0 + 0.00137956207*4*4*4*4 + + + + + + 14684 + 14210 + 439 + 20 + + 0 + 0 + 0 + + 14684.13 + 14210.7 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + 1/X + true + 02bd4f03-e28f-42f6-b942-16421ebb3bff + true + Expression + + + + + + + 14866 + 14398 + 79 + 28 + + + 14908 + 14412 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8ed25a35-8735-4d37-a6eb-c59414cdfe25 + true + Variable X + X + true + 8f60c651-4f0f-4481-9816-919bbdee7a7a + 1 + + + + + + 14868 + 14400 + 14 + 24 + + + 14876.5 + 14412 + + + + + + + + Result of expression + 9f0aa848-e2c9-40b8-8f03-e94966a7c223 + true + Result + + false + 0 + + + + + + 14934 + 14400 + 9 + 24 + + + 14940 + 14412 + + + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 131ff6e2-f7c7-4eab-b513-44501fc0b6a5 + true + Point + Point + false + 7553f3fd-a0e1-4ee6-9ccc-33ae6881a31e + 1 + + + + + + 14900 + 11926 + 50 + 24 + + + 14925.1 + 11938.79 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7553f3fd-a0e1-4ee6-9ccc-33ae6881a31e + true + Relay + + false + 919d17fe-401d-4453-ae1a-4909779e11cd + 1 + + + + + + 14902 + 11972 + 40 + 16 + + + 14922 + 11980 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f1dc7722-f68a-4e76-a629-9d79f7fa672e + true + Relay + + false + 80f9f68a-5096-4a38-9f2f-e140ed9a878f + 1 + + + + + + 14902 + 11749 + 40 + 16 + + + 14922 + 11757 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 77c71397-d676-43a5-855e-28a04de20cf2 + true + Scale + Scale + + + + + + 14845 + 11785 + 154 + 64 + + + 14929 + 11817 + + + + + + Base geometry + d084d26b-37c9-4ded-b103-7b444e105593 + true + Geometry + Geometry + true + 131ff6e2-f7c7-4eab-b513-44501fc0b6a5 + 1 + + + + + + 14847 + 11787 + 67 + 20 + + + 14890 + 11797 + + + + + + + + Center of scaling + f575e0ce-99bc-42de-8a92-546db54b6194 + true + Center + Center + false + 0 + + + + + + 14847 + 11807 + 67 + 20 + + + 14890 + 11817 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + bf7f76ea-813f-4c4d-bd61-9e7751b2c008 + 2^X + true + Factor + Factor + false + 3436aa80-e9b3-4e21-b285-fc7f29fd2145 + 1 + + + + + + 14847 + 11827 + 67 + 20 + + + 14890 + 11837 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 80f9f68a-5096-4a38-9f2f-e140ed9a878f + true + Geometry + Geometry + false + 0 + + + + + + 14944 + 11787 + 53 + 30 + + + 14972 + 11802 + + + + + + + + Transformation data + e7d608e6-cc1e-4082-a538-ed424ce3e59b + true + Transform + Transform + false + 0 + + + + + + 14944 + 11817 + 53 + 30 + + + 14972 + 11832 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 3436aa80-e9b3-4e21-b285-fc7f29fd2145 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 14804 + 11871 + 250 + 20 + + + 14804.88 + 11871.15 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 131ff6e2-f7c7-4eab-b513-44501fc0b6a5 + 1 + 9856b67b-38f1-47bf-a90e-f1d15176eaba + Group + Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 75982fc8-fa2e-4674-8521-53f85dae61b7 + true + Relay + + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 14452 + 13430 + 40 + 16 + + + 14472 + 13438 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e699aaab-2bc6-4d1d-8873-dd539208c621 + true + Panel + + false + 0 + 0 + 30.93121320041889709 + + + + + + + 14401 + 13397 + 144 + 20 + + 0 + 0 + 0 + + 14401.72 + 13397.92 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + e73919fc-84dd-4a74-a91b-f7dda75edbb4 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00000752430 + + + + + + 14777 + 14253 + 251 + 20 + + + 14777.29 + 14253.81 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 792d6552-db97-41fd-9828-9246e372cd65 + true + Vector XYZ + Vector XYZ + + + + + + 15245 + 9364 + 139 + 64 + + + 15330 + 9396 + + + + + + Vector {x} component + 522a8e14-7842-4b8b-a124-2227da4d6332 + true + X component + X component + false + 0 + + + + + + 15247 + 9366 + 68 + 20 + + + 15282.5 + 9376 + + + + + + 1 + + + + + 1 + {0} + + + + + 17.5 + + + + + + + + + + + Vector {y} component + bc579b19-55fb-4b9b-986d-574f59f43c18 + true + Y component + Y component + false + 0 + + + + + + 15247 + 9386 + 68 + 20 + + + 15282.5 + 9396 + + + + + + 1 + + + + + 1 + {0} + + + + + 1.5 + + + + + + + + + + + Vector {z} component + f0b28a02-f967-4c72-a404-6a902aee67b0 + true + Z component + Z component + false + 0 + + + + + + 15247 + 9406 + 68 + 20 + + + 15282.5 + 9416 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + bfccd18e-cb91-484e-8a45-84b5da37edcf + true + Vector + Vector + false + 0 + + + + + + 15345 + 9366 + 37 + 30 + + + 15365 + 9381 + + + + + + + + Vector length + 2c2b2b0b-7801-4885-aa6b-dc0a06d61271 + true + Length + Length + false + 0 + + + + + + 15345 + 9396 + 37 + 30 + + + 15365 + 9411 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f75ec5b3-bb3a-4926-8ec3-92d810a33dfd + true + Relay + + false + 7df1562a-5592-4dee-b24d-499aa859f494 + 1 + + + + + + 14881 + 13910 + 40 + 16 + + + 14901 + 13918 + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 8520bb61-2a13-4c0a-89eb-863a393c064f + true + Stream Filter + Stream Filter + + + + + + 14429 + 13562 + 89 + 64 + + + 14474 + 13594 + + + + + + 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 + ce839810-06f0-431b-b457-a851719257e7 + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 14431 + 13564 + 28 + 20 + + + 14446.5 + 13574 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 5452808c-c433-4f12-9350-2fa31fcb7812 + true + false + Stream 0 + 0 + true + f95a37a7-02ee-4695-8d91-4a88e8f95efd + 1 + + + + + + 14431 + 13584 + 28 + 20 + + + 14446.5 + 13594 + + + + + + + + 2 + Input stream at index 1 + 01229214-0b40-4251-8ecc-edce3f558836 + true + false + Stream 1 + 1 + true + 671e2d5b-7a1b-4857-abe3-e22c81a1e82b + 1 + + + + + + 14431 + 13604 + 28 + 20 + + + 14446.5 + 13614 + + + + + + + + 2 + Filtered stream + b8d85362-f01a-418f-bed8-eb23f9a2d815 + true + false + Stream + S(1) + false + 0 + + + + + + 14489 + 13564 + 27 + 60 + + + 14504 + 13594 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 9f90d66b-f35b-4ad5-b695-cf816409815b + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 4.0 + + + + + + 11386 + 24313 + 250 + 20 + + + 11386.12 + 24313.69 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fce57c1e-7c8c-442e-8c34-f03322b193c3 + Relay + + false + 9f90d66b-f35b-4ad5-b695-cf816409815b + 1 + + + + + + 11491 + 24270 + 40 + 16 + + + 11511 + 24278 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9f90d66b-f35b-4ad5-b695-cf816409815b + fce57c1e-7c8c-442e-8c34-f03322b193c3 + 2 + d375b5ca-e8b1-4d1a-8abb-3fd34cb27870 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + Relay + + false + 6abc685f-5524-48ad-89bb-61a1ce3c6e65 + 1 + + + + + + 11491 + 24045 + 40 + 16 + + + 11511 + 24053 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e8a6074e-3ec6-4ae5-a446-2f42cdae0977 + Panel + + false + 0 + e58101fd-fa11-4e34-b636-f46fa022581c + 1 + Double click to edit panel content… + + + + + + 11438 + 23999 + 145 + 20 + + 0 + 0 + 0 + + 11438.65 + 23999.86 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 6abc685f-5524-48ad-89bb-61a1ce3c6e65 + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.00549350440 + + + + + + 11386 + 24083 + 251 + 20 + + + 11386.05 + 24083.99 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e8a6074e-3ec6-4ae5-a446-2f42cdae0977 + 6abc685f-5524-48ad-89bb-61a1ce3c6e65 + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 9f05096a-c595-4115-8939-54713cb925f1 + 6c2d9e2d-29b0-4b0d-8c17-8fe4bfcaa494 + 5 + ffaefc29-5720-4d1d-8f74-3ff88cea009f + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 49e97076-47e9-42b3-94bb-22be4cbce56d + 82207b9e-ead4-4815-878a-17418dfbdd67 + 57f0799b-c461-420d-9597-c2d5f7fd5022 + 84df36e3-f442-4145-bdae-23bfd4a52f79 + 620f22e7-a506-41a5-9b65-8bfbd9795fb9 + 049dd7c6-38d9-418a-9ba6-928754ae8d1e + 6 + 93a5c9b6-045a-41b0-9723-f112e1472a5c + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1b21a041-d39c-47c7-91ce-6dc280e8829b + e389002a-311f-438a-a821-c71042c2315b + d6b26c61-1407-4b4c-9aa7-230b7881e37c + 80ab671d-6c63-4c2c-bfac-ab967e0adf89 + 3dab78bc-8b32-4959-a38a-fbb02c8789ea + 59d5b8d0-333b-439e-8a1d-51ba268e9534 + eb698e65-3136-4ee7-8e13-7352ec2f3b5f + 9812fbfd-aed6-419d-9f34-1da7c7a718e2 + 43ac5d38-56c2-46fa-a2d6-e12c566c33e1 + 057b9293-8565-4ad8-998b-f7b2a50eaa49 + f71571ba-c892-4b34-870f-d5235b415665 + 8c36d410-9355-4295-bda2-9b458f164ddd + b3aa422e-c362-4f2e-b1d3-3c89403ccf64 + cda437b6-b93c-42d1-bef0-8e3012936758 + c224342c-801f-4459-9224-44879ddf539f + 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 + f5c7b38e-4599-4446-8dac-ea4341bffb71 + 574fe67f-71ff-4715-8a12-17491f24eb76 + 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + c496ed8d-c088-49ad-b789-ec25be9f2ba1 + 5b6f0604-d611-43ab-af67-0856d76ac3be + 704efda2-f8e4-4bc0-b678-cc00abc69450 + 318cd1cf-1ac0-4b5a-8068-d487fd99f8c6 + cf714a6e-ed15-4548-b434-863030ede4e0 + 2499fa70-461f-479b-8b56-ad4993db7908 + cccade3e-3e98-4637-aaa4-80019f5bd038 + 8a57c746-396b-44ab-89cc-7a678067bda5 + 364f5e5b-ed41-41e8-8181-5a64c1e08977 + 5c1c03fa-558f-4518-bbfb-a2d6c0ac5e6a + b17ebcf6-affa-4588-a133-4cb8786d7e19 + 4c590110-8cd2-40ad-bad5-7b4469a3e74b + b739da44-a41c-46cb-81a6-fad678645491 + 1b9ca219-a0ff-454d-a6d6-f560bce27a62 + 7800477e-1d37-480e-aba9-a1193e61cf8c + ea6bbb6d-3db9-405a-bcc8-0efe6ff2247b + 358ac38f-9d6b-424a-ad12-df92ae478f93 + 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 + c00374a9-f84c-42f1-8b1e-ac4e020591c6 + 3ddf25ea-80bc-417e-82b8-a0703967cef9 + 9ee13f26-621a-4b0d-bea0-48c30bddfa77 + 423701a7-4f0f-4b22-9304-758f7fd9f28e + d6a382b9-baf6-4d56-ab80-3e464f766497 + 7921a184-12d7-40fd-9711-9245da6e5067 + a6a8d90f-9c19-4acd-9074-c068e4a57ec2 + 3f24efee-8a0e-43a8-ad3d-b3df67ffb742 + f12e086b-1939-469f-9138-3bceb2ef7e19 + af239c1d-f168-4f3a-b655-86c6944aecdf + c3c83424-c461-49c9-84d5-33b90eecd891 + 3d6bff94-3dcf-468c-ab7a-88eb4d735259 + 480817fe-986c-4186-8058-a77069fb10b1 + 42c15cbd-a73d-4764-821c-1e992d0e0f27 + af94bc05-d9dd-48b3-97ef-80f93e8b6b46 + 80dd7959-2379-4209-9410-4c269e87cd92 + 93219771-1c76-49bb-ad4c-5f15da0bf464 + 0627c16c-3122-4959-bd5d-5ee26688bbc2 + 369a09ad-1f6b-437c-8eee-98db33efecd1 + 7b3ac5e4-7d3e-411f-ab06-ecedd15cccf6 + f6012b3c-e64c-4ea6-9243-00c5921ebd97 + 7e6986d8-68a3-447c-b3e6-fe47e0a1edef + 77e51a7d-28dd-4808-a424-f91d4b5f2c67 + fdf97c38-5951-4b6e-8bf2-a6426505aae1 + bec3286d-af12-4a18-99aa-78e93c87da10 + 1475230a-606a-4e52-be6b-a158b83dc0a6 + 168eef93-c22e-4ce4-a776-afa80004bce9 + 174bb911-caba-47e2-9382-8b612bd7dc09 + de70ef17-0df8-4e32-8a5e-183c38885e43 + e7b46d59-0bd1-46cc-aeba-7d27258233c5 + 66f513a9-e72f-4150-a663-887f521eeb51 + b102c42a-7289-4b71-931b-b1642de830b9 + 0c798bb0-6521-4051-8591-1d492ce83833 + 0ec6fb34-30af-4d76-8b43-afd2c05731f6 + 3f8ed296-31ab-4200-9f35-a4baa7e1060d + 586e6fc0-8ddd-4ee9-b107-8d23319269a4 + 4a55cc4c-18d1-4cdb-bcfd-c00c4c7438d3 + 6eaeacef-ba51-4547-8e87-7709428d14fc + d619ce8e-8981-4dc1-9e8a-8001e77900c1 + fad5d6d1-c263-4c2e-8431-e4c7e882d53c + 6d76c8be-dfbc-4f36-9993-40d0efb27bb7 + b23a38dc-cf75-4ba3-b10b-2f6039f11554 + 504738e4-8406-47af-a2c7-a574221a7427 + 96935792-1ec1-4cd9-8dd4-9a092de6ad61 + ed3b2feb-3bad-4598-a465-c0ff584626b2 + a6af5b65-d9e5-4705-b850-f1e26fdaf68a + 2ea92ada-a4b2-4477-9fa9-52ac38de5ea1 + 85 + 7be526f5-79eb-4f1d-91ae-d8077f748f28 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e389002a-311f-438a-a821-c71042c2315b + d6b26c61-1407-4b4c-9aa7-230b7881e37c + 80ab671d-6c63-4c2c-bfac-ab967e0adf89 + 3dab78bc-8b32-4959-a38a-fbb02c8789ea + 59d5b8d0-333b-439e-8a1d-51ba268e9534 + eb698e65-3136-4ee7-8e13-7352ec2f3b5f + 9812fbfd-aed6-419d-9f34-1da7c7a718e2 + 43ac5d38-56c2-46fa-a2d6-e12c566c33e1 + 057b9293-8565-4ad8-998b-f7b2a50eaa49 + f71571ba-c892-4b34-870f-d5235b415665 + 8c36d410-9355-4295-bda2-9b458f164ddd + b3aa422e-c362-4f2e-b1d3-3c89403ccf64 + cda437b6-b93c-42d1-bef0-8e3012936758 + c224342c-801f-4459-9224-44879ddf539f + 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 + f5c7b38e-4599-4446-8dac-ea4341bffb71 + 574fe67f-71ff-4715-8a12-17491f24eb76 + 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + c496ed8d-c088-49ad-b789-ec25be9f2ba1 + 5b6f0604-d611-43ab-af67-0856d76ac3be + 704efda2-f8e4-4bc0-b678-cc00abc69450 + 318cd1cf-1ac0-4b5a-8068-d487fd99f8c6 + cf714a6e-ed15-4548-b434-863030ede4e0 + 2499fa70-461f-479b-8b56-ad4993db7908 + cccade3e-3e98-4637-aaa4-80019f5bd038 + 8a57c746-396b-44ab-89cc-7a678067bda5 + 364f5e5b-ed41-41e8-8181-5a64c1e08977 + 5c1c03fa-558f-4518-bbfb-a2d6c0ac5e6a + b17ebcf6-affa-4588-a133-4cb8786d7e19 + 4c590110-8cd2-40ad-bad5-7b4469a3e74b + b739da44-a41c-46cb-81a6-fad678645491 + 1b9ca219-a0ff-454d-a6d6-f560bce27a62 + 7800477e-1d37-480e-aba9-a1193e61cf8c + ea6bbb6d-3db9-405a-bcc8-0efe6ff2247b + 358ac38f-9d6b-424a-ad12-df92ae478f93 + 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 + c00374a9-f84c-42f1-8b1e-ac4e020591c6 + 3ddf25ea-80bc-417e-82b8-a0703967cef9 + 9ee13f26-621a-4b0d-bea0-48c30bddfa77 + 423701a7-4f0f-4b22-9304-758f7fd9f28e + d6a382b9-baf6-4d56-ab80-3e464f766497 + 7921a184-12d7-40fd-9711-9245da6e5067 + a6a8d90f-9c19-4acd-9074-c068e4a57ec2 + 3f24efee-8a0e-43a8-ad3d-b3df67ffb742 + f12e086b-1939-469f-9138-3bceb2ef7e19 + af239c1d-f168-4f3a-b655-86c6944aecdf + c3c83424-c461-49c9-84d5-33b90eecd891 + 3d6bff94-3dcf-468c-ab7a-88eb4d735259 + 480817fe-986c-4186-8058-a77069fb10b1 + 42c15cbd-a73d-4764-821c-1e992d0e0f27 + af94bc05-d9dd-48b3-97ef-80f93e8b6b46 + 80dd7959-2379-4209-9410-4c269e87cd92 + 93219771-1c76-49bb-ad4c-5f15da0bf464 + 0627c16c-3122-4959-bd5d-5ee26688bbc2 + 369a09ad-1f6b-437c-8eee-98db33efecd1 + 7b3ac5e4-7d3e-411f-ab06-ecedd15cccf6 + f6012b3c-e64c-4ea6-9243-00c5921ebd97 + 7e6986d8-68a3-447c-b3e6-fe47e0a1edef + 77e51a7d-28dd-4808-a424-f91d4b5f2c67 + fdf97c38-5951-4b6e-8bf2-a6426505aae1 + bec3286d-af12-4a18-99aa-78e93c87da10 + 1475230a-606a-4e52-be6b-a158b83dc0a6 + 168eef93-c22e-4ce4-a776-afa80004bce9 + 174bb911-caba-47e2-9382-8b612bd7dc09 + de70ef17-0df8-4e32-8a5e-183c38885e43 + e7b46d59-0bd1-46cc-aeba-7d27258233c5 + 66f513a9-e72f-4150-a663-887f521eeb51 + b102c42a-7289-4b71-931b-b1642de830b9 + 0c798bb0-6521-4051-8591-1d492ce83833 + 0ec6fb34-30af-4d76-8b43-afd2c05731f6 + 3f8ed296-31ab-4200-9f35-a4baa7e1060d + 586e6fc0-8ddd-4ee9-b107-8d23319269a4 + 4a55cc4c-18d1-4cdb-bcfd-c00c4c7438d3 + 6eaeacef-ba51-4547-8e87-7709428d14fc + d619ce8e-8981-4dc1-9e8a-8001e77900c1 + fad5d6d1-c263-4c2e-8431-e4c7e882d53c + 6d76c8be-dfbc-4f36-9993-40d0efb27bb7 + b23a38dc-cf75-4ba3-b10b-2f6039f11554 + 79 + 1b21a041-d39c-47c7-91ce-6dc280e8829b + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + fad5d6d1-c263-4c2e-8431-e4c7e882d53c + 1 + e389002a-311f-438a-a821-c71042c2315b + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 80ab671d-6c63-4c2c-bfac-ab967e0adf89 + 1 + d6b26c61-1407-4b4c-9aa7-230b7881e37c + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 3dab78bc-8b32-4959-a38a-fbb02c8789ea + 1 + 80ab671d-6c63-4c2c-bfac-ab967e0adf89 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 59d5b8d0-333b-439e-8a1d-51ba268e9534 + 1 + 3dab78bc-8b32-4959-a38a-fbb02c8789ea + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + eb698e65-3136-4ee7-8e13-7352ec2f3b5f + 1 + 59d5b8d0-333b-439e-8a1d-51ba268e9534 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 9812fbfd-aed6-419d-9f34-1da7c7a718e2 + 1 + eb698e65-3136-4ee7-8e13-7352ec2f3b5f + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 057b9293-8565-4ad8-998b-f7b2a50eaa49 + 1 + 9812fbfd-aed6-419d-9f34-1da7c7a718e2 + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 43ac5d38-56c2-46fa-a2d6-e12c566c33e1 + true + Curve + Curve + false + 0 + + + + + + 2989 + 21494 + 50 + 24 + + + 3014.946 + 21506.91 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 43ac5d38-56c2-46fa-a2d6-e12c566c33e1 + 1 + 057b9293-8565-4ad8-998b-f7b2a50eaa49 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5c1c03fa-558f-4518-bbfb-a2d6c0ac5e6a + 1 + f71571ba-c892-4b34-870f-d5235b415665 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b3aa422e-c362-4f2e-b1d3-3c89403ccf64 + cda437b6-b93c-42d1-bef0-8e3012936758 + c224342c-801f-4459-9224-44879ddf539f + 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 + f5c7b38e-4599-4446-8dac-ea4341bffb71 + 574fe67f-71ff-4715-8a12-17491f24eb76 + 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 5b6f0604-d611-43ab-af67-0856d76ac3be + c496ed8d-c088-49ad-b789-ec25be9f2ba1 + f71571ba-c892-4b34-870f-d5235b415665 + 057b9293-8565-4ad8-998b-f7b2a50eaa49 + de70ef17-0df8-4e32-8a5e-183c38885e43 + e7b46d59-0bd1-46cc-aeba-7d27258233c5 + 66f513a9-e72f-4150-a663-887f521eeb51 + b102c42a-7289-4b71-931b-b1642de830b9 + 0c798bb0-6521-4051-8591-1d492ce83833 + 0ec6fb34-30af-4d76-8b43-afd2c05731f6 + 1475230a-606a-4e52-be6b-a158b83dc0a6 + 168eef93-c22e-4ce4-a776-afa80004bce9 + 20 + 8c36d410-9355-4295-bda2-9b458f164ddd + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + b3aa422e-c362-4f2e-b1d3-3c89403ccf64 + true + Duplicate Data + Duplicate Data + + + + + + 2963 + 22658 + 104 + 64 + + + 3022 + 22690 + + + + + + 1 + Data to duplicate + 8774b7ce-e1a5-4125-9beb-fa2e3b636ca8 + true + Data + Data + false + a6780e5e-2b14-4d81-a790-7d4b02c7a358 + 1 + + + + + + 2965 + 22660 + 42 + 20 + + + 2987.5 + 22670 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + b9433302-4811-47ed-9a72-755d2a3bb9b8 + true + Number + Number + false + 174bb911-caba-47e2-9382-8b612bd7dc09 + 1 + + + + + + 2965 + 22680 + 42 + 20 + + + 2987.5 + 22690 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + f100e17b-5264-4645-9f98-0bcf69189c8d + true + Order + Order + false + 0 + + + + + + 2965 + 22700 + 42 + 20 + + + 2987.5 + 22710 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + cc6a2811-cc51-4e88-9810-d0a028d938b8 + true + Data + Data + false + 0 + + + + + + 3037 + 22660 + 28 + 60 + + + 3052.5 + 22690 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + cda437b6-b93c-42d1-bef0-8e3012936758 + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 2949 + 20730 + 116 + 44 + + + 3010 + 20752 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 9ae858ab-b5dc-4f5f-8d68-24ba948d2d04 + true + Forward + Forward + true + 1 + true + cc6a2811-cc51-4e88-9810-d0a028d938b8 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 2951 + 20732 + 44 + 20 + + + 2974.5 + 20742 + + + + + + + + 1 + false + Script Variable Left + 508b84dd-2069-43ce-a5e0-bc7312d82de8 + true + Left + Left + true + 1 + true + ce24876e-e2fe-44f8-bf9d-ba5699084a02 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 2951 + 20752 + 44 + 20 + + + 2974.5 + 20762 + + + + + + + + Print, Reflect and Error streams + 71686122-ab34-4e3f-854e-297570dbc306 + true + Output + Output + false + 0 + + + + + + 3025 + 20732 + 38 + 20 + + + 3045.5 + 20742 + + + + + + + + Output parameter Points + 0da3606f-e8e9-424b-b40d-9632eaf7af1a + true + Points + Points + false + 0 + + + + + + 3025 + 20752 + 38 + 20 + + + 3045.5 + 20762 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 + true + Series + Series + + + + + + 2960 + 21987 + 101 + 64 + + + 3010 + 22019 + + + + + + First number in the series + 01b26cd6-1fc7-4dc6-90d1-973aefd802a7 + true + Start + Start + false + 0 + + + + + + 2962 + 21989 + 33 + 20 + + + 2980 + 21999 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 08cd3c8f-d411-4cd9-99eb-0760225effb9 + true + Step + Step + false + d619ce8e-8981-4dc1-9e8a-8001e77900c1 + 1 + + + + + + 2962 + 22009 + 33 + 20 + + + 2980 + 22019 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + a98418a8-91ce-440c-a92c-df4e15306600 + true + Count + Count + false + 174bb911-caba-47e2-9382-8b612bd7dc09 + 1 + + + + + + 2962 + 22029 + 33 + 20 + + + 2980 + 22039 + + + + + + + + 1 + Series of numbers + a93ae73f-0686-4504-96a7-3e01e97bbf19 + true + Series + Series + false + 0 + + + + + + 3025 + 21989 + 34 + 60 + + + 3043.5 + 22019 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + f5c7b38e-4599-4446-8dac-ea4341bffb71 + true + Number Slider + + false + 0 + + + + + + 2953 + 22888 + 150 + 20 + + + 2953.697 + 22888.85 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 574fe67f-71ff-4715-8a12-17491f24eb76 + true + Radians + Radians + + + + + + 2949 + 22229 + 120 + 28 + + + 3010 + 22243 + + + + + + Angle in degrees + e5f275a9-3de0-436e-b23d-d175af4a615c + true + Degrees + Degrees + false + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 1 + + + + + + 2951 + 22231 + 44 + 24 + + + 2974.5 + 22243 + + + + + + + + Angle in radians + 24008995-0884-48c0-b4d6-45d04b80ced0 + true + Radians + Radians + false + 0 + + + + + + 3025 + 22231 + 42 + 24 + + + 3047.5 + 22243 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 2887 + 22593 + 251 + 20 + + + 2887.837 + 22593.75 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + c496ed8d-c088-49ad-b789-ec25be9f2ba1 + true + Interpolate (t) + Interpolate (t) + + + + + + 2935 + 19965 + 144 + 84 + + + 3021 + 20007 + + + + + + 1 + Interpolation points + eddf4b56-3dda-4284-ac4c-65e579f34f77 + true + Vertices + Vertices + false + 57f0799b-c461-420d-9597-c2d5f7fd5022 + 1 + + + + + + 2937 + 19967 + 69 + 20 + + + 2973 + 19977 + + + + + + + + Tangent at start of curve + 2bc72dfe-3590-41ef-bc21-b51f5edfb0f2 + true + Tangent Start + Tangent Start + false + 0 + + + + + + 2937 + 19987 + 69 + 20 + + + 2973 + 19997 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + c2f8297e-0bc7-4411-904b-ba2c9525f7d8 + true + Tangent End + Tangent End + false + 0 + + + + + + 2937 + 20007 + 69 + 20 + + + 2973 + 20017 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 6a697279-befd-4772-a215-35085422b2eb + true + KnotStyle + KnotStyle + false + 0 + + + + + + 2937 + 20027 + 69 + 20 + + + 2973 + 20037 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 4057c060-2b5d-4a2e-a040-65cb746604a2 + true + Curve + Curve + false + 0 + + + + + + 3036 + 19967 + 41 + 26 + + + 3058 + 19980.33 + + + + + + + + Curve length + dcc8e44c-96ed-4a3f-ba4f-7e82ac4a334a + true + Length + Length + false + 0 + + + + + + 3036 + 19993 + 41 + 27 + + + 3058 + 20007 + + + + + + + + Curve domain + b786e946-2d5e-4316-86df-409b89ad5be7 + true + Domain + Domain + false + 0 + + + + + + 3036 + 20020 + 41 + 27 + + + 3058 + 20033.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b3aa422e-c362-4f2e-b1d3-3c89403ccf64 + cda437b6-b93c-42d1-bef0-8e3012936758 + c224342c-801f-4459-9224-44879ddf539f + 0ed6d1b2-6112-44bc-bfc1-0290a4b8f9c7 + f5c7b38e-4599-4446-8dac-ea4341bffb71 + 574fe67f-71ff-4715-8a12-17491f24eb76 + 0ef2a3b3-6bf5-4d6b-8a75-f48a48cd3132 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 586e6fc0-8ddd-4ee9-b107-8d23319269a4 + 1b9ca219-a0ff-454d-a6d6-f560bce27a62 + bec3286d-af12-4a18-99aa-78e93c87da10 + 3f8ed296-31ab-4200-9f35-a4baa7e1060d + 4a55cc4c-18d1-4cdb-bcfd-c00c4c7438d3 + 93ff246b-28e0-41db-9a25-0de40ecb9d2f + 48d5ff4b-8301-46c0-b3f0-66a81897604e + c6c4d32d-3b3a-489c-bb54-cc0b46c307c4 + 16 + 5b6f0604-d611-43ab-af67-0856d76ac3be + Group + + + + + + + + + + + 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 + 704efda2-f8e4-4bc0-b678-cc00abc69450 + true + Evaluate Length + Evaluate Length + + + + + + 2935 + 19797 + 144 + 64 + + + 3009 + 19829 + + + + + + Curve to evaluate + 9aa87a62-76fc-4dbf-9d00-bc7349979c2d + true + Curve + Curve + false + 4057c060-2b5d-4a2e-a040-65cb746604a2 + 1 + + + + + + 2937 + 19799 + 57 + 20 + + + 2967 + 19809 + + + + + + + + Length factor for curve evaluation + 2037313d-fe7e-4663-86ef-ae10a43ba893 + true + Length + Length + false + 0 + + + + + + 2937 + 19819 + 57 + 20 + + + 2967 + 19829 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + d1a452c6-1d68-4f1d-b5fa-61a94be35bae + true + Normalized + Normalized + false + 0 + + + + + + 2937 + 19839 + 57 + 20 + + + 2967 + 19849 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d880bc64-38d7-413d-9d25-76974b3ae82a + true + Point + Point + false + 0 + + + + + + 3024 + 19799 + 53 + 20 + + + 3052 + 19809 + + + + + + + + Tangent vector at the specified length + db0923f3-c5d8-4ec6-9df6-4fe0c285d051 + true + Tangent + Tangent + false + 0 + + + + + + 3024 + 19819 + 53 + 20 + + + 3052 + 19829 + + + + + + + + Curve parameter at the specified length + e114d922-d3a2-4635-89a2-9fe1190b7c43 + true + Parameter + Parameter + false + 0 + + + + + + 3024 + 19839 + 53 + 20 + + + 3052 + 19849 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 318cd1cf-1ac0-4b5a-8068-d487fd99f8c6 + true + Mirror + Mirror + + + + + + 2938 + 19735 + 138 + 44 + + + 3006 + 19757 + + + + + + Base geometry + 99411a44-9673-4688-afa7-065a0d54ee52 + true + Geometry + Geometry + true + 4057c060-2b5d-4a2e-a040-65cb746604a2 + 1 + + + + + + 2940 + 19737 + 51 + 20 + + + 2967 + 19747 + + + + + + + + Mirror plane + dbe215d1-6837-4e0a-9d81-5b0987756dcc + true + Plane + Plane + false + 987f4116-c443-46cf-8c32-3e2d4082db60 + 1 + + + + + + 2940 + 19757 + 51 + 20 + + + 2967 + 19767 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 9ee71fee-eabb-4c01-9324-9acdaea4f5bc + true + Geometry + Geometry + false + 0 + + + + + + 3021 + 19737 + 53 + 20 + + + 3049 + 19747 + + + + + + + + Transformation data + aa36bbf2-4f39-45f1-9f58-56cb2dffcb20 + true + Transform + Transform + false + 0 + + + + + + 3021 + 19757 + 53 + 20 + + + 3049 + 19767 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + cf714a6e-ed15-4548-b434-863030ede4e0 + true + Line SDL + Line SDL + + + + + + 2954 + 19881 + 106 + 64 + + + 3018 + 19913 + + + + + + Line start point + 13c548d8-ab40-41d5-8ead-03a9fab9aef1 + true + Start + Start + false + d880bc64-38d7-413d-9d25-76974b3ae82a + 1 + + + + + + 2956 + 19883 + 47 + 20 + + + 2981 + 19893 + + + + + + + + Line tangent (direction) + a305711c-8af2-428a-a34a-121747b585c9 + true + Direction + Direction + false + db0923f3-c5d8-4ec6-9df6-4fe0c285d051 + 1 + + + + + + 2956 + 19903 + 47 + 20 + + + 2981 + 19913 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 0e78b25f-2e63-4916-8fcb-bf03df32ea1a + true + Length + Length + false + 0 + + + + + + 2956 + 19923 + 47 + 20 + + + 2981 + 19933 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 987f4116-c443-46cf-8c32-3e2d4082db60 + true + Line + Line + false + 0 + + + + + + 3033 + 19883 + 25 + 60 + + + 3047 + 19913 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 2499fa70-461f-479b-8b56-ad4993db7908 + true + Join Curves + Join Curves + + + + + + 2948 + 19673 + 118 + 44 + + + 3011 + 19695 + + + + + + 1 + Curves to join + 844a8a70-5f5a-480e-93bb-bac9b984096d + true + Curves + Curves + false + 4057c060-2b5d-4a2e-a040-65cb746604a2 + 9ee71fee-eabb-4c01-9324-9acdaea4f5bc + 2 + + + + + + 2950 + 19675 + 46 + 20 + + + 2974.5 + 19685 + + + + + + + + Preserve direction of input curves + 40cf51f3-98bf-4fc6-9200-8540e8a3d92e + true + Preserve + Preserve + false + 0 + + + + + + 2950 + 19695 + 46 + 20 + + + 2974.5 + 19705 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 61b9705a-3f7c-4316-baa3-1a8aae5849f5 + true + Curves + Curves + false + 0 + + + + + + 3026 + 19675 + 38 + 40 + + + 3046.5 + 19695 + + + + + + + + + + + + 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 + cccade3e-3e98-4637-aaa4-80019f5bd038 + true + Evaluate Length + Evaluate Length + + + + + + 2935 + 19589 + 144 + 64 + + + 3009 + 19621 + + + + + + Curve to evaluate + 46e56da7-1a6e-467d-b642-52465c709b5f + true + Curve + Curve + false + 61b9705a-3f7c-4316-baa3-1a8aae5849f5 + 1 + + + + + + 2937 + 19591 + 57 + 20 + + + 2967 + 19601 + + + + + + + + Length factor for curve evaluation + 5fa78312-2440-436a-a076-67c05ea6c000 + true + Length + Length + false + 0 + + + + + + 2937 + 19611 + 57 + 20 + + + 2967 + 19621 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + ad033806-4bce-405b-87f7-566945884a74 + true + Normalized + Normalized + false + 0 + + + + + + 2937 + 19631 + 57 + 20 + + + 2967 + 19641 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8a060934-75bb-4d51-aeb9-36c84b2731de + true + Point + Point + false + 0 + + + + + + 3024 + 19591 + 53 + 20 + + + 3052 + 19601 + + + + + + + + Tangent vector at the specified length + c2791d22-0cff-42d8-9c28-0bf471d7acea + true + Tangent + Tangent + false + 0 + + + + + + 3024 + 19611 + 53 + 20 + + + 3052 + 19621 + + + + + + + + Curve parameter at the specified length + fa0f3b17-cee9-42bf-a8c8-7ec464062731 + true + Parameter + Parameter + false + 0 + + + + + + 3024 + 19631 + 53 + 20 + + + 3052 + 19641 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 8a57c746-396b-44ab-89cc-7a678067bda5 + true + Rotate + Rotate + + + + + + 2938 + 19506 + 138 + 64 + + + 3006 + 19538 + + + + + + Base geometry + a028f1ef-cf43-45df-acf4-4a2a4d97f744 + true + Geometry + Geometry + true + 61b9705a-3f7c-4316-baa3-1a8aae5849f5 + 1 + + + + + + 2940 + 19508 + 51 + 20 + + + 2967 + 19518 + + + + + + + + Rotation angle in radians + 66ff8808-0356-4f97-8b08-e04e0d6e820f + true + Angle + Angle + false + 0 + false + + + + + + 2940 + 19528 + 51 + 20 + + + 2967 + 19538 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 88cd5b3b-a665-4937-815e-0d4e6b63cf3d + true + Plane + Plane + false + 8a060934-75bb-4d51-aeb9-36c84b2731de + 1 + + + + + + 2940 + 19548 + 51 + 20 + + + 2967 + 19558 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 3e104311-a7fe-4090-b1ce-61e3e6aac39e + true + Geometry + Geometry + false + 0 + + + + + + 3021 + 19508 + 53 + 30 + + + 3049 + 19523 + + + + + + + + Transformation data + b3021552-5159-4a70-9578-69b8dd8c1a4a + true + Transform + Transform + false + 0 + + + + + + 3021 + 19538 + 53 + 30 + + + 3049 + 19553 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 364f5e5b-ed41-41e8-8181-5a64c1e08977 + true + Join Curves + Join Curves + + + + + + 2948 + 19443 + 118 + 44 + + + 3011 + 19465 + + + + + + 1 + Curves to join + 319b601c-b779-4b2f-98ab-b5e42d69b0d4 + true + Curves + Curves + false + 61b9705a-3f7c-4316-baa3-1a8aae5849f5 + 3e104311-a7fe-4090-b1ce-61e3e6aac39e + 2 + + + + + + 2950 + 19445 + 46 + 20 + + + 2974.5 + 19455 + + + + + + + + Preserve direction of input curves + e35fd497-bebf-4ffa-a7f2-241a045f602b + true + Preserve + Preserve + false + 0 + + + + + + 2950 + 19465 + 46 + 20 + + + 2974.5 + 19475 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 9d28ddd1-1658-4a5f-95df-0eaad23ae026 + true + Curves + Curves + false + 0 + + + + + + 3026 + 19445 + 38 + 40 + + + 3046.5 + 19465 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c496ed8d-c088-49ad-b789-ec25be9f2ba1 + 704efda2-f8e4-4bc0-b678-cc00abc69450 + 318cd1cf-1ac0-4b5a-8068-d487fd99f8c6 + cf714a6e-ed15-4548-b434-863030ede4e0 + 2499fa70-461f-479b-8b56-ad4993db7908 + cccade3e-3e98-4637-aaa4-80019f5bd038 + 8a57c746-396b-44ab-89cc-7a678067bda5 + 364f5e5b-ed41-41e8-8181-5a64c1e08977 + 4c590110-8cd2-40ad-bad5-7b4469a3e74b + 49e97076-47e9-42b3-94bb-22be4cbce56d + 82207b9e-ead4-4815-878a-17418dfbdd67 + 57f0799b-c461-420d-9597-c2d5f7fd5022 + 84df36e3-f442-4145-bdae-23bfd4a52f79 + 049dd7c6-38d9-418a-9ba6-928754ae8d1e + 620f22e7-a506-41a5-9b65-8bfbd9795fb9 + 15 + 5c1c03fa-558f-4518-bbfb-a2d6c0ac5e6a + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b17ebcf6-affa-4588-a133-4cb8786d7e19 + true + Panel + + false + 0 + 7921a184-12d7-40fd-9711-9245da6e5067 + 1 + Double click to edit panel content… + + + + + + 2941 + 22080 + 145 + 20 + + 0 + 0 + 0 + + 2941.366 + 22080.26 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 4c590110-8cd2-40ad-bad5-7b4469a3e74b + true + Curve + Curve + false + 9d28ddd1-1658-4a5f-95df-0eaad23ae026 + 1 + + + + + + 2989 + 19407 + 50 + 24 + + + 3014.946 + 19419.82 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 4c590110-8cd2-40ad-bad5-7b4469a3e74b + 1 + b739da44-a41c-46cb-81a6-fad678645491 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1b9ca219-a0ff-454d-a6d6-f560bce27a62 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 2795 + 22316 + 439 + 20 + + 0 + 0 + 0 + + 2795.927 + 22316.94 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 7800477e-1d37-480e-aba9-a1193e61cf8c + true + Evaluate Length + Evaluate Length + + + + + + 2935 + 19317 + 144 + 64 + + + 3009 + 19349 + + + + + + Curve to evaluate + 141416a6-b721-4aef-a2e3-b0146546b0b5 + true + Curve + Curve + false + 9d28ddd1-1658-4a5f-95df-0eaad23ae026 + 1 + + + + + + 2937 + 19319 + 57 + 20 + + + 2967 + 19329 + + + + + + + + Length factor for curve evaluation + 6327b436-e0cb-4c5a-b798-43e55a32c1a2 + true + Length + Length + false + 0 + + + + + + 2937 + 19339 + 57 + 20 + + + 2967 + 19349 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 9f34607c-188d-4758-9808-3b208f60b372 + true + Normalized + Normalized + false + 0 + + + + + + 2937 + 19359 + 57 + 20 + + + 2967 + 19369 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + e513d9c0-bbdb-4b65-b0f9-8a5fc880f7d0 + true + Point + Point + false + 0 + + + + + + 3024 + 19319 + 53 + 20 + + + 3052 + 19329 + + + + + + + + Tangent vector at the specified length + 82639f4c-d46b-47a3-b9d1-cfbd7f16af04 + true + Tangent + Tangent + false + 0 + + + + + + 3024 + 19339 + 53 + 20 + + + 3052 + 19349 + + + + + + + + Curve parameter at the specified length + a73bdfc7-c389-4f65-903f-e01b47b3a4f5 + true + Parameter + Parameter + false + 0 + + + + + + 3024 + 19359 + 53 + 20 + + + 3052 + 19369 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + ea6bbb6d-3db9-405a-bcc8-0efe6ff2247b + true + Expression + Expression + + + + + + 2910 + 19095 + 194 + 28 + + + 3010 + 19109 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c73d1da7-2872-4a8f-912a-a13dde72e057 + true + Variable O + O + true + 2182d553-d440-43c8-a668-25e4e79e913b + 1 + + + + + + 2912 + 19097 + 14 + 24 + + + 2920.5 + 19109 + + + + + + + + Result of expression + 4e260858-464a-4ab4-b551-8904dd7f0048 + true + Result + + false + 0 + + + + + + 3093 + 19097 + 9 + 24 + + + 3099 + 19109 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 358ac38f-9d6b-424a-ad12-df92ae478f93 + true + Deconstruct + Deconstruct + + + + + + 2941 + 19229 + 132 + 64 + + + 2988 + 19261 + + + + + + Input point + 731b1aad-bb80-4e48-bed3-235140fdb3e6 + true + Point + Point + false + e513d9c0-bbdb-4b65-b0f9-8a5fc880f7d0 + 1 + + + + + + 2943 + 19231 + 30 + 60 + + + 2959.5 + 19261 + + + + + + + + Point {x} component + 2182d553-d440-43c8-a668-25e4e79e913b + true + X component + X component + false + 0 + + + + + + 3003 + 19231 + 68 + 20 + + + 3038.5 + 19241 + + + + + + + + Point {y} component + 55b8b94b-2800-4efd-bfc5-71c17213ab4e + true + Y component + Y component + false + 0 + + + + + + 3003 + 19251 + 68 + 20 + + + 3038.5 + 19261 + + + + + + + + Point {z} component + 57a7830b-1f16-4bfb-9084-4410e4813cd4 + true + Z component + Z component + false + 0 + + + + + + 3003 + 19271 + 68 + 20 + + + 3038.5 + 19281 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 + true + Panel + + false + 0 + 4e260858-464a-4ab4-b551-8904dd7f0048 + 1 + Double click to edit panel content… + + + + + + 2933 + 19073 + 160 + 20 + + 0 + 0 + 0 + + 2933.718 + 19073.4 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + c00374a9-f84c-42f1-8b1e-ac4e020591c6 + true + Expression + Expression + + + + + + 2910 + 19009 + 194 + 28 + + + 3010 + 19023 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e5cc2820-ca7d-45a6-b5c9-2223347a25ef + true + Variable O + O + true + 55b8b94b-2800-4efd-bfc5-71c17213ab4e + 1 + + + + + + 2912 + 19011 + 14 + 24 + + + 2920.5 + 19023 + + + + + + + + Result of expression + 752fbb44-e28e-4f0a-ada7-744cd24cbcb6 + true + Result + + false + 0 + + + + + + 3093 + 19011 + 9 + 24 + + + 3099 + 19023 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3ddf25ea-80bc-417e-82b8-a0703967cef9 + true + Panel + + false + 0 + 752fbb44-e28e-4f0a-ada7-744cd24cbcb6 + 1 + Double click to edit panel content… + + + + + + 2933 + 18984 + 160 + 20 + + 0 + 0 + 0 + + 2933.718 + 18984.97 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 9ee13f26-621a-4b0d-bea0-48c30bddfa77 + true + Division + Division + + + + + + 2966 + 18907 + 82 + 44 + + + 2997 + 18929 + + + + + + Item to divide (dividend) + bcd65c31-9194-4a6e-8a6a-598ae81fc66d + true + A + A + false + 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 + 1 + + + + + + 2968 + 18909 + 14 + 20 + + + 2976.5 + 18919 + + + + + + + + Item to divide with (divisor) + ccd5bfcb-8c45-4a34-92db-f1364b781317 + true + B + B + false + 3ddf25ea-80bc-417e-82b8-a0703967cef9 + 1 + + + + + + 2968 + 18929 + 14 + 20 + + + 2976.5 + 18939 + + + + + + + + The result of the Division + e475034f-ea3b-4607-8197-55baffcb48f9 + true + Result + Result + false + 0 + + + + + + 3012 + 18909 + 34 + 40 + + + 3030.5 + 18929 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 423701a7-4f0f-4b22-9304-758f7fd9f28e + true + Panel + + false + 0 + 7921a184-12d7-40fd-9711-9245da6e5067 + 1 + Double click to edit panel content… + + + + + + 2933 + 18837 + 160 + 20 + + 0 + 0 + 0 + + 2933.956 + 18837.46 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d6a382b9-baf6-4d56-ab80-3e464f766497 + true + Expression + Expression + + + + + + 2910 + 18860 + 194 + 28 + + + 3010 + 18874 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + effae4db-eb36-4b20-8840-0015529f405b + true + Variable O + O + true + e475034f-ea3b-4607-8197-55baffcb48f9 + 1 + + + + + + 2912 + 18862 + 14 + 24 + + + 2920.5 + 18874 + + + + + + + + Result of expression + dc97c662-4675-47d7-b039-00e74939e276 + true + Result + + false + 0 + + + + + + 3093 + 18862 + 9 + 24 + + + 3099 + 18874 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7921a184-12d7-40fd-9711-9245da6e5067 + true + Relay + + false + dc97c662-4675-47d7-b039-00e74939e276 + 1 + + + + + + 2987 + 18785 + 40 + 16 + + + 3007 + 18793 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + a6a8d90f-9c19-4acd-9074-c068e4a57ec2 + true + Addition + Addition + + + + + + 2966 + 18722 + 82 + 44 + + + 2997 + 18744 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 5b4e12c8-e7ce-4f9e-8b72-4a0e08357083 + true + A + A + true + 3ddf25ea-80bc-417e-82b8-a0703967cef9 + 1 + + + + + + 2968 + 18724 + 14 + 20 + + + 2976.5 + 18734 + + + + + + + + Second item for addition + a1afa5cf-defc-4950-b13e-c95c1b7a21e3 + true + B + B + true + 8e2bc44c-9d11-4369-97ef-3f00902f3bb8 + 1 + + + + + + 2968 + 18744 + 14 + 20 + + + 2976.5 + 18754 + + + + + + + + Result of addition + 5ac33d9f-fc1f-4b0d-a95f-8986745ec1ad + true + Result + Result + false + 0 + + + + + + 3012 + 18724 + 34 + 40 + + + 3030.5 + 18744 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 3f24efee-8a0e-43a8-ad3d-b3df67ffb742 + true + Division + Division + + + + + + 2966 + 18572 + 82 + 44 + + + 2997 + 18594 + + + + + + Item to divide (dividend) + 88cf22f4-dacc-44ba-812b-aea1e44040ae + true + A + A + false + c3c83424-c461-49c9-84d5-33b90eecd891 + 1 + + + + + + 2968 + 18574 + 14 + 20 + + + 2976.5 + 18584 + + + + + + + + Item to divide with (divisor) + eaa76c8a-a383-4bef-b7ee-87d421b60265 + true + B + B + false + 0 + + + + + + 2968 + 18594 + 14 + 20 + + + 2976.5 + 18604 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + d5f2f7ce-0d29-4225-9032-6452b60a4dee + true + Result + Result + false + 0 + + + + + + 3012 + 18574 + 34 + 40 + + + 3030.5 + 18594 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + f12e086b-1939-469f-9138-3bceb2ef7e19 + true + Expression + Expression + + + + + + 2910 + 18524 + 194 + 28 + + + 3010 + 18538 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e3c77d79-f32b-407b-b777-220f35335397 + true + Variable O + O + true + d5f2f7ce-0d29-4225-9032-6452b60a4dee + 1 + + + + + + 2912 + 18526 + 14 + 24 + + + 2920.5 + 18538 + + + + + + + + Result of expression + f1bd89b8-eb21-4492-bb9d-1395442f4fab + true + Result + + false + 0 + + + + + + 3093 + 18526 + 9 + 24 + + + 3099 + 18538 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + af239c1d-f168-4f3a-b655-86c6944aecdf + true + Panel + + false + 0 + f1bd89b8-eb21-4492-bb9d-1395442f4fab + 1 + Double click to edit panel content… + + + + + + 2933 + 18501 + 160 + 20 + + 0 + 0 + 0 + + 2933.718 + 18501.32 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c3c83424-c461-49c9-84d5-33b90eecd891 + true + Panel + + false + 0 + 0f7cfb7b-cd98-4245-881c-a772900d37d5 + 1 + Double click to edit panel content… + + + + + + 2933 + 18653 + 160 + 20 + + 0 + 0 + 0 + + 2933.718 + 18653.23 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3d6bff94-3dcf-468c-ab7a-88eb4d735259 + true + Expression + Expression + + + + + + 2910 + 18675 + 194 + 28 + + + 3010 + 18689 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8391baa9-5380-4698-9590-bd569935fe7c + true + Variable O + O + true + 5ac33d9f-fc1f-4b0d-a95f-8986745ec1ad + 1 + + + + + + 2912 + 18677 + 14 + 24 + + + 2920.5 + 18689 + + + + + + + + Result of expression + 0f7cfb7b-cd98-4245-881c-a772900d37d5 + true + Result + + false + 0 + + + + + + 3093 + 18677 + 9 + 24 + + + 3099 + 18689 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 480817fe-986c-4186-8058-a77069fb10b1 + true + Scale + Scale + + + + + + 2930 + 18401 + 154 + 64 + + + 3014 + 18433 + + + + + + Base geometry + a83d2e11-3831-4a92-bca7-2c450f18f7f7 + true + Geometry + Geometry + true + 4c590110-8cd2-40ad-bad5-7b4469a3e74b + 1 + + + + + + 2932 + 18403 + 67 + 20 + + + 2975 + 18413 + + + + + + + + Center of scaling + bb3c64f6-409f-4efd-80e8-551a6f4de83d + true + Center + Center + false + 0 + + + + + + 2932 + 18423 + 67 + 20 + + + 2975 + 18433 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + d8668115-f2c6-41f9-881c-12a4a058838d + 1/X + true + Factor + Factor + false + af239c1d-f168-4f3a-b655-86c6944aecdf + 1 + + + + + + 2932 + 18443 + 67 + 20 + + + 2975 + 18453 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 0b4365f6-06f0-4383-91e4-0b0895b1b9a2 + true + Geometry + Geometry + false + 0 + + + + + + 3029 + 18403 + 53 + 30 + + + 3057 + 18418 + + + + + + + + Transformation data + c7796223-bda6-47e5-81b1-ccd7d538b9bf + true + Transform + Transform + false + 0 + + + + + + 3029 + 18433 + 53 + 30 + + + 3057 + 18448 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 42c15cbd-a73d-4764-821c-1e992d0e0f27 + true + Curve + Curve + false + 0b4365f6-06f0-4383-91e4-0b0895b1b9a2 + 1 + + + + + + 2987 + 17806 + 50 + 24 + + + 3012.696 + 17818.82 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + af94bc05-d9dd-48b3-97ef-80f93e8b6b46 + true + Expression + Expression + + + + + + 2910 + 19182 + 194 + 28 + + + 3010 + 19196 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9b121662-9092-4892-a1b3-e29def25fdc6 + true + Variable O + O + true + 57a7830b-1f16-4bfb-9084-4410e4813cd4 + 1 + + + + + + 2912 + 19184 + 14 + 24 + + + 2920.5 + 19196 + + + + + + + + Result of expression + 2b2a4cd9-03cd-467f-bfa5-eb69f14cce20 + true + Result + + false + 0 + + + + + + 3093 + 19184 + 9 + 24 + + + 3099 + 19196 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 80dd7959-2379-4209-9410-4c269e87cd92 + true + Panel + + false + 0 + 2b2a4cd9-03cd-467f-bfa5-eb69f14cce20 + 1 + Double click to edit panel content… + + + + + + 2934 + 19159 + 160 + 20 + + 0 + 0 + 0 + + 2934.587 + 19159.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 93219771-1c76-49bb-ad4c-5f15da0bf464 + true + Evaluate Length + Evaluate Length + + + + + + 2935 + 18191 + 144 + 64 + + + 3009 + 18223 + + + + + + Curve to evaluate + 8b421b0f-a28f-4ea1-98e9-3c9261f9430f + true + Curve + Curve + false + 0b4365f6-06f0-4383-91e4-0b0895b1b9a2 + 1 + + + + + + 2937 + 18193 + 57 + 20 + + + 2967 + 18203 + + + + + + + + Length factor for curve evaluation + d54c5d17-20cb-426f-8dd2-b03203227af8 + true + Length + Length + false + 0 + + + + + + 2937 + 18213 + 57 + 20 + + + 2967 + 18223 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 681e4df5-920c-417c-9f2a-9683169343f7 + true + Normalized + Normalized + false + 0 + + + + + + 2937 + 18233 + 57 + 20 + + + 2967 + 18243 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 9f796daf-039e-467d-9fb5-9e5fa9eae965 + true + Point + Point + false + 0 + + + + + + 3024 + 18193 + 53 + 20 + + + 3052 + 18203 + + + + + + + + Tangent vector at the specified length + e6009b60-b726-4257-bf31-e9ab2e079175 + true + Tangent + Tangent + false + 0 + + + + + + 3024 + 18213 + 53 + 20 + + + 3052 + 18223 + + + + + + + + Curve parameter at the specified length + 05ad9317-302e-45b7-ac3e-e992bc303c41 + true + Parameter + Parameter + false + 0 + + + + + + 3024 + 18233 + 53 + 20 + + + 3052 + 18243 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0627c16c-3122-4959-bd5d-5ee26688bbc2 + true + Expression + Expression + + + + + + 2910 + 17974 + 194 + 28 + + + 3010 + 17988 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c097b315-1505-4c30-82d9-71e264b6c976 + true + Variable O + O + true + 2908c21f-c4de-417a-b8ce-a264e2bdcf87 + 1 + + + + + + 2912 + 17976 + 14 + 24 + + + 2920.5 + 17988 + + + + + + + + Result of expression + 6915573a-1d91-45df-a8f2-041107ce239c + true + Result + + false + 0 + + + + + + 3093 + 17976 + 9 + 24 + + + 3099 + 17988 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 369a09ad-1f6b-437c-8eee-98db33efecd1 + true + Deconstruct + Deconstruct + + + + + + 2941 + 18108 + 132 + 64 + + + 2988 + 18140 + + + + + + Input point + 9a77e0ca-42f7-490d-bfc9-1ef8b6a3a29b + true + Point + Point + false + 9f796daf-039e-467d-9fb5-9e5fa9eae965 + 1 + + + + + + 2943 + 18110 + 30 + 60 + + + 2959.5 + 18140 + + + + + + + + Point {x} component + 2908c21f-c4de-417a-b8ce-a264e2bdcf87 + true + X component + X component + false + 0 + + + + + + 3003 + 18110 + 68 + 20 + + + 3038.5 + 18120 + + + + + + + + Point {y} component + 3467649a-b248-4c01-89e9-bb35b330b1a7 + true + Y component + Y component + false + 0 + + + + + + 3003 + 18130 + 68 + 20 + + + 3038.5 + 18140 + + + + + + + + Point {z} component + 36fd5590-4142-49d3-a6e0-38bf0e13957a + true + Z component + Z component + false + 0 + + + + + + 3003 + 18150 + 68 + 20 + + + 3038.5 + 18160 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7b3ac5e4-7d3e-411f-ab06-ecedd15cccf6 + true + Panel + + false + 0 + 6915573a-1d91-45df-a8f2-041107ce239c + 1 + Double click to edit panel content… + + + + + + 2933 + 17946 + 160 + 20 + + 0 + 0 + 0 + + 2933.968 + 17946.75 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + f6012b3c-e64c-4ea6-9243-00c5921ebd97 + true + Expression + Expression + + + + + + 2910 + 17888 + 194 + 28 + + + 3010 + 17902 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 269096ad-667f-44c5-8e1f-569f2c60f1c3 + true + Variable O + O + true + 3467649a-b248-4c01-89e9-bb35b330b1a7 + 1 + + + + + + 2912 + 17890 + 14 + 24 + + + 2920.5 + 17902 + + + + + + + + Result of expression + cc12a092-0034-49f3-9db4-37f7927811d8 + true + Result + + false + 0 + + + + + + 3093 + 17890 + 9 + 24 + + + 3099 + 17902 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7e6986d8-68a3-447c-b3e6-fe47e0a1edef + true + Panel + + false + 0 + cc12a092-0034-49f3-9db4-37f7927811d8 + 1 + Double click to edit panel content… + + + + + + 2933 + 17861 + 160 + 20 + + 0 + 0 + 0 + + 2933.977 + 17861.12 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 77e51a7d-28dd-4808-a424-f91d4b5f2c67 + true + Expression + Expression + + + + + + 2910 + 18060 + 194 + 28 + + + 3010 + 18074 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 990c124f-1def-4414-9e8c-5345f592aaf5 + true + Variable O + O + true + 36fd5590-4142-49d3-a6e0-38bf0e13957a + 1 + + + + + + 2912 + 18062 + 14 + 24 + + + 2920.5 + 18074 + + + + + + + + Result of expression + bce8bd99-8675-4a6c-accf-b9295f09c088 + true + Result + + false + 0 + + + + + + 3093 + 18062 + 9 + 24 + + + 3099 + 18074 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fdf97c38-5951-4b6e-8bf2-a6426505aae1 + true + Panel + + false + 0 + bce8bd99-8675-4a6c-accf-b9295f09c088 + 1 + Double click to edit panel content… + + + + + + 2933 + 18032 + 160 + 20 + + 0 + 0 + 0 + + 2933.718 + 18032.96 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bec3286d-af12-4a18-99aa-78e93c87da10 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 2825 + 22387 + 379 + 104 + + 0 + 0 + 0 + + 2825.376 + 22387.41 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1475230a-606a-4e52-be6b-a158b83dc0a6 + true + Panel + + false + 0 + b0bd8f2d-9278-4244-8d90-3720a99f566b + 1 + Double click to edit panel content… + + + + + + 2845 + 20396 + 337 + 276 + + 0 + 0 + 0 + + 2845.907 + 20396.74 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 168eef93-c22e-4ce4-a776-afa80004bce9 + true + Expression + Expression + + + + + + 2910 + 20682 + 194 + 28 + + + 3010 + 20696 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d126cc00-ff9f-4ddf-94a1-809d717b1f85 + true + Variable O + O + true + 0da3606f-e8e9-424b-b40d-9632eaf7af1a + 1 + + + + + + 2912 + 20684 + 14 + 24 + + + 2920.5 + 20696 + + + + + + + + Result of expression + b0bd8f2d-9278-4244-8d90-3720a99f566b + true + Result + + false + 0 + + + + + + 3093 + 20684 + 9 + 24 + + + 3099 + 20696 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 174bb911-caba-47e2-9382-8b612bd7dc09 + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 3003 + 22847 + 50 + 24 + + + 3028.748 + 22859.14 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + de70ef17-0df8-4e32-8a5e-183c38885e43 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 2838 + 20964 + 160 + 224 + + + 2906 + 21076 + + + + + + 1 + One or multiple graph curves to graph map values with + 952368ff-63db-4b6b-bf77-47185a89071f + true + Curves + Curves + false + 0c9f5125-8b29-4eb0-a9b2-af2775c85491 + 1 + + + + + + 2840 + 20966 + 51 + 27 + + + 2867 + 20979.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 270fca9f-91d4-4d80-81cd-8513d3ad053c + true + Rectangle + Rectangle + false + cdde36fd-f665-45f1-b7ad-bc3424d13fdf + 1 + + + + + + 2840 + 20993 + 51 + 28 + + + 2867 + 21007.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 2fce7b6d-c52e-440e-a6bf-2616d7bd60d6 + true + Values + Values + false + a93ae73f-0686-4504-96a7-3e01e97bbf19 + 1 + + + + + + 2840 + 21021 + 51 + 27 + + + 2867 + 21034.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + c1221dc0-a076-4ada-8064-6a9be828ec53 + true + X Axis + X Axis + true + 0 + + + + + + 2840 + 21048 + 51 + 28 + + + 2867 + 21062.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 205b7edb-a4b0-4bd5-b8c6-9faf12885d09 + true + Y Axis + Y Axis + true + 0 + + + + + + 2840 + 21076 + 51 + 27 + + + 2867 + 21089.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + bc2a4497-d732-4a9d-af6e-60ab7e7de1ad + true + Flip + Flip + false + 0 + + + + + + 2840 + 21103 + 51 + 28 + + + 2867 + 21117.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 05196f6b-fb98-439e-b2c4-fe8e330ab6df + true + Snap + Snap + false + 0 + + + + + + 2840 + 21131 + 51 + 27 + + + 2867 + 21144.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + cd210256-106e-49b1-b487-5f831d2b6e23 + true + Text Size + Text Size + false + 0 + + + + + + 2840 + 21158 + 51 + 28 + + + 2867 + 21172.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 2239fee1-5b43-4790-aff8-c37f13433ac9 + true + Mapped + Mapped + false + 0 + + + + + + 2921 + 20966 + 75 + 20 + + + 2960 + 20976 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 13e18167-8ca0-4335-84c8-5fa02b1852ac + true + Graph Curves + Graph Curves + false + 0 + + + + + + 2921 + 20986 + 75 + 20 + + + 2960 + 20996 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + f76fc9ff-a44d-4a8b-8085-919384d75ff0 + true + Graph Points + Graph Points + false + 0 + + + + + + 2921 + 21006 + 75 + 20 + + + 2960 + 21016 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 83f0efd4-5908-4cdf-8bcc-26272227fa73 + true + Value Lines + Value Lines + false + 0 + + + + + + 2921 + 21026 + 75 + 20 + + + 2960 + 21036 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + 08acaf2e-3597-4682-93bc-ea6c7debd4a2 + true + Value Points + Value Points + false + 0 + + + + + + 2921 + 21046 + 75 + 20 + + + 2960 + 21056 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + f592770e-efdb-417a-8621-e034e074d187 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 2921 + 21066 + 75 + 20 + + + 2960 + 21076 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 91c64238-6095-4430-9437-2d02a573651d + true + Mapped Points + Mapped Points + false + 0 + + + + + + 2921 + 21086 + 75 + 20 + + + 2960 + 21096 + + + + + + + + The graph boundary background as a surface + c3a04758-4d94-4634-a580-71f7bc94596c + true + Boundary + Boundary + false + 0 + + + + + + 2921 + 21106 + 75 + 20 + + + 2960 + 21116 + + + + + + + + 1 + The graph labels as curve outlines + a6d1245f-2e42-4312-9071-2c582d290612 + true + Labels + Labels + false + 0 + + + + + + 2921 + 21126 + 75 + 20 + + + 2960 + 21136 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + bfceb5b8-559e-47c4-8ba8-bf9445bd86c3 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 2921 + 21146 + 75 + 20 + + + 2960 + 21156 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 544862d9-f3b5-4b56-8e13-c61695d12d90 + true + Intersected + Intersected + false + 0 + + + + + + 2921 + 21166 + 75 + 20 + + + 2960 + 21176 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + e7b46d59-0bd1-46cc-aeba-7d27258233c5 + true + End Points + End Points + + + + + + 2959 + 21389 + 96 + 44 + + + 3009 + 21411 + + + + + + Curve to evaluate + 67281c70-2be8-4324-8f3d-c5d1087b22cd + true + Curve + Curve + false + 0c9f5125-8b29-4eb0-a9b2-af2775c85491 + 1 + + + + + + 2961 + 21391 + 33 + 40 + + + 2979 + 21411 + + + + + + + + Curve start point + 0394e597-30a8-435c-b63b-e47af57f3096 + true + Start + Start + false + 0 + + + + + + 3024 + 21391 + 29 + 20 + + + 3040 + 21401 + + + + + + + + Curve end point + e6f25ff5-5ab9-4731-9acc-5223a00d2d7b + true + End + End + false + 0 + + + + + + 3024 + 21411 + 29 + 20 + + + 3040 + 21421 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 66f513a9-e72f-4150-a663-887f521eeb51 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 2949 + 21261 + 126 + 84 + + + 3007 + 21303 + + + + + + Rectangle base plane + 23bd9751-2de1-4670-bfe3-b09c43aa3cf7 + true + Plane + Plane + false + 0 + + + + + + 2951 + 21263 + 41 + 20 + + + 2973 + 21273 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 0eb544a2-2212-41a5-9449-1cabdbb4bd7a + true + Point A + Point A + false + 0394e597-30a8-435c-b63b-e47af57f3096 + 1 + + + + + + 2951 + 21283 + 41 + 20 + + + 2973 + 21293 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 9df1d5c9-af2c-4bd4-abd4-7b27626095f8 + true + Point B + Point B + false + e6f25ff5-5ab9-4731-9acc-5223a00d2d7b + 1 + + + + + + 2951 + 21303 + 41 + 20 + + + 2973 + 21313 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 0e7e3490-682b-4248-a568-047cef714c12 + true + Radius + Radius + false + 0 + + + + + + 2951 + 21323 + 41 + 20 + + + 2973 + 21333 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + cdde36fd-f665-45f1-b7ad-bc3424d13fdf + true + Rectangle + Rectangle + false + 0 + + + + + + 3022 + 21263 + 51 + 40 + + + 3049 + 21283 + + + + + + + + Length of rectangle curve + 5fe18674-4e73-467f-8e83-b7db3b4f0d69 + true + Length + Length + false + 0 + + + + + + 3022 + 21303 + 51 + 40 + + + 3049 + 21323 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + b102c42a-7289-4b71-931b-b1642de830b9 + true + GraphMapper+ + GraphMapper+ + + + + + false + + + + + + 2998 + 21084 + 126 + 104 + + + 3065 + 21136 + + + + + + External curve as a graph + 9690190c-b0a1-42b2-a022-0cc31adab0bc + true + Curve + Curve + false + 0c9f5125-8b29-4eb0-a9b2-af2775c85491 + 1 + + + + + + 3000 + 21086 + 50 + 20 + + + 3026.5 + 21096 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 618106b9-ed69-4cf7-aa3c-99353c5fc703 + true + Boundary + Boundary + true + cdde36fd-f665-45f1-b7ad-bc3424d13fdf + 1 + + + + + + 3000 + 21106 + 50 + 20 + + + 3026.5 + 21116 + + + + + + + + 1 + List of input numbers + e71bdd8f-4456-47a3-9e5e-d585ab11076a + true + Numbers + Numbers + false + a93ae73f-0686-4504-96a7-3e01e97bbf19 + 1 + + + + + + 3000 + 21126 + 50 + 20 + + + 3026.5 + 21136 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 8ba1ee43-0aa7-4ef9-b754-f03b1378d319 + true + Input + Input + true + 6bd7e3fb-0023-4354-a5a5-1a743d528e75 + 1 + + + + + + 3000 + 21146 + 50 + 20 + + + 3026.5 + 21156 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 770f829f-3345-4e55-839f-e17cda1d8b4e + true + Output + Output + true + 6bd7e3fb-0023-4354-a5a5-1a743d528e75 + 1 + + + + + + 3000 + 21166 + 50 + 20 + + + 3026.5 + 21176 + + + + + + + + 1 + Output Numbers + 514f261b-6618-4813-898a-47961f234d92 + true + Number + Number + false + 0 + + + + + + 3080 + 21086 + 42 + 100 + + + 3102.5 + 21136 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 0c798bb0-6521-4051-8591-1d492ce83833 + true + Stream Filter + Stream Filter + + + + + + 2973 + 20881 + 89 + 64 + + + 3018 + 20913 + + + + + + 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 + 4e587f82-acda-43fa-a488-a3a3b82b405b + true + Gate + Gate + false + 3ae0a9ca-46aa-4bac-8ff4-c39cfa9c4f33 + 1 + + + + + + 2975 + 20883 + 28 + 20 + + + 2990.5 + 20893 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 9805940f-43e0-4d74-934d-9be7c26667d3 + true + false + Stream 0 + 0 + true + 2239fee1-5b43-4790-aff8-c37f13433ac9 + 1 + + + + + + 2975 + 20903 + 28 + 20 + + + 2990.5 + 20913 + + + + + + + + 2 + Input stream at index 1 + 5b015aac-7e38-4b65-8423-2b8972668d5b + true + false + Stream 1 + 1 + true + 514f261b-6618-4813-898a-47961f234d92 + 1 + + + + + + 2975 + 20923 + 28 + 20 + + + 2990.5 + 20933 + + + + + + + + 2 + Filtered stream + ce24876e-e2fe-44f8-bf9d-ba5699084a02 + true + false + Stream + S(1) + false + 0 + + + + + + 3033 + 20883 + 27 + 60 + + + 3048 + 20913 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 0ec6fb34-30af-4d76-8b43-afd2c05731f6 + true + Number Slider + + false + 0 + + + + + + 2950 + 20801 + 150 + 20 + + + 2950.337 + 20801.34 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3f8ed296-31ab-4200-9f35-a4baa7e1060d + true + Panel + + false + 1 + 9aeeff2d-ec5e-4a40-bda8-fa5e35e2a8f0 + 1 + Double click to edit panel content… + + + + + + 2924 + 21583 + 185 + 271 + + 0 + 0 + 0 + + 2924.407 + 21583.61 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 586e6fc0-8ddd-4ee9-b107-8d23319269a4 + true + Bounds + Bounds + + + + + + 2948 + 21528 + 122 + 28 + + + 3012 + 21542 + + + + + + 1 + Numbers to include in Bounds + 2fed1945-4af3-48dd-94fc-2e1504aac266 + true + Numbers + Numbers + false + a93ae73f-0686-4504-96a7-3e01e97bbf19 + 1 + + + + + + 2950 + 21530 + 47 + 24 + + + 2975 + 21542 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 6bd7e3fb-0023-4354-a5a5-1a743d528e75 + true + Domain + Domain + false + 0 + + + + + + 3027 + 21530 + 41 + 24 + + + 3049 + 21542 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 4a55cc4c-18d1-4cdb-bcfd-c00c4c7438d3 + true + Expression + Expression + + + + + + 2910 + 21942 + 194 + 28 + + + 3010 + 21956 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + bbe2fe48-a916-4dec-9784-20d2a65a5fcb + true + Variable O + O + true + a93ae73f-0686-4504-96a7-3e01e97bbf19 + 1 + + + + + + 2912 + 21944 + 14 + 24 + + + 2920.5 + 21956 + + + + + + + + Result of expression + 9aeeff2d-ec5e-4a40-bda8-fa5e35e2a8f0 + true + Result + + false + 0 + + + + + + 3093 + 21944 + 9 + 24 + + + 3099 + 21956 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 6eaeacef-ba51-4547-8e87-7709428d14fc + true + Expression + Expression + + + + + + 2824 + 22174 + 367 + 28 + + + 3010 + 22188 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 04dd9f5c-3037-4dff-a45e-2fccd51dae01 + true + Variable O + O + true + 24008995-0884-48c0-b4d6-45d04b80ced0 + 1 + + + + + + 2826 + 22176 + 14 + 24 + + + 2834.5 + 22188 + + + + + + + + Result of expression + 58aad056-c1da-4a75-af65-bb65d045f59a + true + Result + + false + 0 + + + + + + 3180 + 22176 + 9 + 24 + + + 3186 + 22188 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d619ce8e-8981-4dc1-9e8a-8001e77900c1 + true + Panel + + false + 0 + 58aad056-c1da-4a75-af65-bb65d045f59a + 1 + Double click to edit panel content… + + + + + + 2924 + 22120 + 179 + 20 + + 0 + 0 + 0 + + 2924.546 + 22120.48 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 42c15cbd-a73d-4764-821c-1e992d0e0f27 + 1 + fad5d6d1-c263-4c2e-8431-e4c7e882d53c + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 6d76c8be-dfbc-4f36-9993-40d0efb27bb7 + true + Scale + Scale + + + + + + 2930 + 18316 + 154 + 64 + + + 3014 + 18348 + + + + + + Base geometry + f6bcc41f-a6ba-4e20-adc2-b4975eb95e6c + true + Geometry + Geometry + true + 57f0799b-c461-420d-9597-c2d5f7fd5022 + 1 + + + + + + 2932 + 18318 + 67 + 20 + + + 2975 + 18328 + + + + + + + + Center of scaling + 623703ef-e576-4148-803c-b45c47de2cb8 + true + Center + Center + false + 0 + + + + + + 2932 + 18338 + 67 + 20 + + + 2975 + 18348 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + e1e3f46f-b3ba-4d8b-b10c-bd5d8ec25d18 + 1/X + true + Factor + Factor + false + af239c1d-f168-4f3a-b655-86c6944aecdf + 1 + + + + + + 2932 + 18358 + 67 + 20 + + + 2975 + 18368 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 0e43fd06-3ba4-4339-bd65-d80fc37ce0d6 + true + Geometry + Geometry + false + 0 + + + + + + 3029 + 18318 + 53 + 30 + + + 3057 + 18333 + + + + + + + + Transformation data + d2a34327-3dc3-4e6b-b716-5d675c07727e + true + Transform + Transform + false + 0 + + + + + + 3029 + 18348 + 53 + 30 + + + 3057 + 18363 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + b23a38dc-cf75-4ba3-b10b-2f6039f11554 + true + Point + Point + false + 0e43fd06-3ba4-4339-bd65-d80fc37ce0d6 + 1 + + + + + + 2988 + 18285 + 50 + 24 + + + 3013.696 + 18297 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 504738e4-8406-47af-a2c7-a574221a7427 + true + Mirror + Mirror + + + + + + 2935 + 17516 + 138 + 44 + + + 3003 + 17538 + + + + + + Base geometry + c22ad9a2-5a96-44b0-92c7-bd61c819d9d1 + true + Geometry + Geometry + true + 42c15cbd-a73d-4764-821c-1e992d0e0f27 + 1 + + + + + + 2937 + 17518 + 51 + 20 + + + 2964 + 17528 + + + + + + + + Mirror plane + 26e24988-4a8d-4048-a036-5a408985967f + true + Plane + Plane + false + 0 + + + + + + 2937 + 17538 + 51 + 20 + + + 2964 + 17548 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 7cf5d232-688b-44d2-8f6c-398fbdc473da + true + Geometry + Geometry + false + 0 + + + + + + 3018 + 17518 + 53 + 20 + + + 3046 + 17528 + + + + + + + + Transformation data + e1c1a70c-e84b-4739-93c8-407c063ff7a2 + true + Transform + Transform + false + 0 + + + + + + 3018 + 17538 + 53 + 20 + + + 3046 + 17548 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 96935792-1ec1-4cd9-8dd4-9a092de6ad61 + true + Curve + Curve + false + c81335a0-ddbb-498e-893f-43a31d8cd505 + 1 + + + + + + 2987 + 17416 + 50 + 24 + + + 3012.946 + 17428 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0c9f5125-8b29-4eb0-a9b2-af2775c85491 + true + Relay + + false + 64f057b3-8d69-4683-a356-cc3a9ebba111 + 1 + + + + + + 2987 + 21460 + 40 + 16 + + + 3007 + 21468 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + f94da2bc-d071-4b7f-ad50-a3d8e7e6df46 + true + Curve + Curve + false + 270d3941-6706-46e2-8861-fe273a0f9203 + 1 + + + + + + 2580 + 21833 + 50 + 24 + + + 2605.027 + 21845.58 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 64f057b3-8d69-4683-a356-cc3a9ebba111 + true + Curve + Curve + false + 2037fc27-5784-4c4a-aab4-f217811a502f + 1 + + + + + + 2580 + 21551 + 50 + 24 + + + 2605.128 + 21563.91 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 12d1e858-5174-4c8d-9b86-79662978887b + true + Scale + Scale + + + + + + 2522 + 21584 + 154 + 64 + + + 2606 + 21616 + + + + + + Base geometry + 56937ea0-cb0e-47ea-8c68-08da8a6bbd6d + true + Geometry + Geometry + true + f94da2bc-d071-4b7f-ad50-a3d8e7e6df46 + 1 + + + + + + 2524 + 21586 + 67 + 20 + + + 2567 + 21596 + + + + + + + + Center of scaling + e6569b91-5924-4b8d-ba8d-789d515075e3 + true + Center + Center + false + 0 + + + + + + 2524 + 21606 + 67 + 20 + + + 2567 + 21616 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 7443f77e-93ec-466a-a46f-4d06d402715e + 2^X + true + Factor + Factor + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 2524 + 21626 + 67 + 20 + + + 2567 + 21636 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 2037fc27-5784-4c4a-aab4-f217811a502f + true + Geometry + Geometry + false + 0 + + + + + + 2621 + 21586 + 53 + 30 + + + 2649 + 21601 + + + + + + + + Transformation data + 709f4a97-2a2e-4b92-ab9d-5f8d5a9e0da9 + true + Transform + Transform + false + 0 + + + + + + 2621 + 21616 + 53 + 30 + + + 2649 + 21631 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f94da2bc-d071-4b7f-ad50-a3d8e7e6df46 + 64f057b3-8d69-4683-a356-cc3a9ebba111 + 12d1e858-5174-4c8d-9b86-79662978887b + 27899f96-8899-44d3-a06c-50d23c4c5623 + cc70bbb3-8e62-43a8-89b7-a04a7c23a69a + 1fbbe719-afab-43c1-8002-d88926fda48e + d635009e-7496-4f0a-b419-1c3bc7ea2e82 + 77caac64-a7e4-49bc-87b4-46dabf90784a + 446219ab-8ce4-4042-87a6-b6ea0e93f342 + 5d6229b2-80b9-413c-a2de-76a14008b61a + 10 + ac29e4de-75e7-4875-81a4-f6cdfbdeb31b + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + ed3b2feb-3bad-4598-a465-c0ff584626b2 + true + Move + Move + + + + + + 2935 + 17452 + 138 + 44 + + + 3003 + 17474 + + + + + + Base geometry + e8156acf-4650-4f02-9230-6edb7eec150f + true + Geometry + Geometry + true + 42c15cbd-a73d-4764-821c-1e992d0e0f27 + 1 + + + + + + 2937 + 17454 + 51 + 20 + + + 2964 + 17464 + + + + + + + + Translation vector + ad29c9fb-8135-416c-99c0-8fdcf995f3f9 + true + Motion + Motion + false + 73720f25-b486-4063-bf77-17ff68e76c9e + 1 + + + + + + 2937 + 17474 + 51 + 20 + + + 2964 + 17484 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 3 + 0 + + + + + + + + + + + + Translated geometry + c81335a0-ddbb-498e-893f-43a31d8cd505 + true + Geometry + Geometry + false + 0 + + + + + + 3018 + 17454 + 53 + 20 + + + 3046 + 17464 + + + + + + + + Transformation data + ecb1ed1b-9d26-478c-863d-b4c1c5c593f4 + true + Transform + Transform + false + 0 + + + + + + 3018 + 17474 + 53 + 20 + + + 3046 + 17484 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + cc70bbb3-8e62-43a8-89b7-a04a7c23a69a + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 30.9312132004 + + + + + + 2480 + 21777 + 250 + 20 + + + 2480.427 + 21777 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1fbbe719-afab-43c1-8002-d88926fda48e + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 2537 + 21676 + 144 + 20 + + 0 + 0 + 0 + + 2537.587 + 21676.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d635009e-7496-4f0a-b419-1c3bc7ea2e82 + true + Curve + Curve + false + 0 + + + + + + 2580 + 21508 + 50 + 24 + + + 2605.128 + 21520.91 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 77caac64-a7e4-49bc-87b4-46dabf90784a + true + Curve + Curve + false + 0 + + + + + + 2582 + 21965 + 50 + 24 + + + 2607.077 + 21977.75 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2480fc5c-66cb-4fcc-af50-79745d500b87 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 2794 + 22367 + 439 + 20 + + 0 + 0 + 0 + + 2794.927 + 22367.94 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 36d8d781-7249-499e-9200-c1eb0dc8215d + true + Panel + + false + 0 + b728aecf-c06e-47c6-90f5-cc6153fb8819 + 1 + 0.00032220000 +0.00000220000 + + + + + + 2795 + 22491 + 439 + 22 + + 0 + 0 + 0 + + 2795.237 + 22491.89 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + fd3cde6d-4956-45e7-b959-30385e85fb44 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 2887 + 22633 + 251 + 20 + + + 2887.837 + 22633.3 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a9574e45-69fb-4cab-b92c-3d617258bb91 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 2795 + 22613 + 439 + 20 + + 0 + 0 + 0 + + 2795.677 + 22613.46 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 49e97076-47e9-42b3-94bb-22be4cbce56d + true + Point + Point + false + 82207b9e-ead4-4815-878a-17418dfbdd67 + 1 + + + + + + 3010 + 20267 + 50 + 24 + + + 3035.657 + 20279.02 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 82207b9e-ead4-4815-878a-17418dfbdd67 + true + Relay + + false + 0da3606f-e8e9-424b-b40d-9632eaf7af1a + 1 + + + + + + 3011 + 20312 + 40 + 16 + + + 3031 + 20320 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 57f0799b-c461-420d-9597-c2d5f7fd5022 + true + Relay + + false + d8055d91-f89a-4e89-8a6b-f6d9bc26718d + 1 + + + + + + 3011 + 20089 + 40 + 16 + + + 3031 + 20097 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 84df36e3-f442-4145-bdae-23bfd4a52f79 + true + Scale + Scale + + + + + + 2954 + 20125 + 154 + 64 + + + 3038 + 20157 + + + + + + Base geometry + 5e664073-3d42-40b2-a9c8-1554fdf7420d + true + Geometry + Geometry + true + 49e97076-47e9-42b3-94bb-22be4cbce56d + 1 + + + + + + 2956 + 20127 + 67 + 20 + + + 2999 + 20137 + + + + + + + + Center of scaling + a3caabff-e975-4d5e-8c80-faf302d69885 + true + Center + Center + false + 0 + + + + + + 2956 + 20147 + 67 + 20 + + + 2999 + 20157 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 444912a7-cd00-454d-a0d9-fb1ba20ed45f + 2^X + true + Factor + Factor + false + 620f22e7-a506-41a5-9b65-8bfbd9795fb9 + 1 + + + + + + 2956 + 20167 + 67 + 20 + + + 2999 + 20177 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + d8055d91-f89a-4e89-8a6b-f6d9bc26718d + true + Geometry + Geometry + false + 0 + + + + + + 3053 + 20127 + 53 + 30 + + + 3081 + 20142 + + + + + + + + Transformation data + 982e0807-63a2-461f-80cd-22cb90d70f41 + true + Transform + Transform + false + 0 + + + + + + 3053 + 20157 + 53 + 30 + + + 3081 + 20172 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 620f22e7-a506-41a5-9b65-8bfbd9795fb9 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 2915 + 20211 + 250 + 20 + + + 2915.436 + 20211.38 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 49e97076-47e9-42b3-94bb-22be4cbce56d + 1 + 049dd7c6-38d9-418a-9ba6-928754ae8d1e + Group + Point + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + b728aecf-c06e-47c6-90f5-cc6153fb8819 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.02196259374 + + + + + + 2887 + 22533 + 251 + 20 + + + 2887.337 + 22533.61 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 5d6229b2-80b9-413c-a2de-76a14008b61a + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 2480 + 21738 + 250 + 20 + + + 2480.427 + 21738 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 2ea92ada-a4b2-4477-9fa9-52ac38de5ea1 + true + Vector XYZ + Vector XYZ + + + + + + 2934 + 17589 + 139 + 64 + + + 3019 + 17621 + + + + + + Vector {x} component + 60c54331-bc4b-4521-9929-be231313bc87 + true + X component + X component + false + 0 + + + + + + 2936 + 17591 + 68 + 20 + + + 2971.5 + 17601 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector {y} component + 16cbf773-aa5e-44f3-a305-63b696951888 + true + Y component + Y component + false + 0 + + + + + + 2936 + 17611 + 68 + 20 + + + 2971.5 + 17621 + + + + + + 1 + + + + + 1 + {0} + + + + + 4 + + + + + + + + + + + Vector {z} component + 1d4f19f4-7e41-4fec-810f-5de82b28ea5d + true + Z component + Z component + false + 0 + + + + + + 2936 + 17631 + 68 + 20 + + + 2971.5 + 17641 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 73720f25-b486-4063-bf77-17ff68e76c9e + true + Vector + Vector + false + 0 + + + + + + 3034 + 17591 + 37 + 30 + + + 3054 + 17606 + + + + + + + + Vector length + 66b39a2e-2bc8-4086-b038-0d7a860088a8 + true + Length + Length + false + 0 + + + + + + 3034 + 17621 + 37 + 30 + + + 3054 + 17636 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 446219ab-8ce4-4042-87a6-b6ea0e93f342 + true + Stream Filter + Stream Filter + + + + + + 2561 + 21877 + 89 + 64 + + + 2606 + 21909 + + + + + + 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 + ad79a5ac-d5b5-4e57-b88a-90bc2302e10d + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 2563 + 21879 + 28 + 20 + + + 2578.5 + 21889 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 995ebdca-a563-4dc7-a7a7-63ff65fa63fe + true + false + Stream 0 + 0 + true + 9e8a3a26-c196-4a8e-8854-2e1303fa393c + 1 + + + + + + 2563 + 21899 + 28 + 20 + + + 2578.5 + 21909 + + + + + + + + 2 + Input stream at index 1 + b1c28ded-1647-4af8-b659-aae008c0f448 + true + false + Stream 1 + 1 + true + f32e469d-5411-4757-a641-2639d4f5739a + 1 + + + + + + 2563 + 21919 + 28 + 20 + + + 2578.5 + 21929 + + + + + + + + 2 + Filtered stream + 270d3941-6706-46e2-8861-fe273a0f9203 + true + false + Stream + S(1) + false + 0 + + + + + + 2621 + 21879 + 27 + 60 + + + 2636 + 21909 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3ae0a9ca-46aa-4bac-8ff4-c39cfa9c4f33 + true + Relay + + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 2987 + 20858 + 40 + 16 + + + 3007 + 20866 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d478f100-725b-4409-a7b6-375d5771f6d1 + fe323d14-26b4-40ee-b6c3-d29c50862bda + 9d5c8bd8-8469-41e2-a537-e174f9e35067 + a41828e4-8b7d-4583-8576-6498debc414a + 93600863-543e-4c15-8ca0-9aa3a4c41133 + 65772831-622c-45f0-8b74-27794372ba84 + 6 + d6eb3725-69b0-4a96-ab78-573647865ce9 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9a9751c8-6b04-4028-a9b9-ab45a77adc44 + e86e1333-996d-426d-9d43-729770fc5d9e + 885f2e1d-5cb2-4ac3-99db-2afaa276d3c4 + d3fa259b-9cf3-4618-8cdb-49e372ea33af + fe3301eb-6cbd-42f9-87ee-9b4fda2fed9d + b8d31e82-7624-4e46-b20b-4eb86b4ba78d + fc31f1c6-d0ba-4d8e-a16b-59ed97dfcf5d + 6293ad42-b56a-42a9-b8a7-0b75bc77d29a + 1ada7be1-89a0-4450-87b9-20e93d1acfb8 + 56294286-d42f-4763-9849-2c890745dbc5 + 5fbe45e5-87d0-4cad-b63f-8bb82a20ee3e + ee3c2f43-73b5-472e-b7e2-0db184021600 + 0a3d7a60-480c-451b-8e1d-c334c9932d8e + 9a1c517e-848c-43b1-87fc-42a28832bfde + c224342c-801f-4459-9224-44879ddf539f + def91bd9-37fa-4802-a0b4-1ddfb4722e3f + 9283d059-2d52-4d86-9362-5e2baf255c27 + d5894a96-90d1-47d4-bf1e-1745cd1934d7 + d9a4a6e3-c722-410c-a790-c549c6d0ae5e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 + 71112fe7-1fea-47f3-b4e9-ce6884c9ceaf + 85eb4dac-c74b-4487-ab1d-eb90b550227a + fc0a1afb-e49c-47ae-9f34-e01642b1f260 + b290088f-51c3-499d-bcc6-651a21180fbd + f2e3277d-70ea-4bdf-b0f6-693524cbaf85 + 4751e2e0-6092-46cd-980b-641ed6e917ee + fd670389-bfb1-48e6-8095-f6f97722a9b1 + 15b697dd-03e3-4b13-9e3b-1e060efec5bf + f084951b-766e-437c-b35d-714be45ce7b8 + 6ecc5a11-8bbc-46bc-8596-6b233cd01831 + 14b8f8d0-45ef-4704-b912-0fcc8b135f3a + 22a118c7-1cad-4618-866c-28f67d88c518 + 87b2f042-29bd-4276-877e-cf779572385b + efdc0f6f-4347-4267-a362-b2066e677d13 + 7791abdb-7ea1-41c5-88d3-5918db40045b + 618f3f32-a03d-4629-a735-0977fcd7d620 + c6648f71-7936-4ce9-9b78-78e1d02360d7 + c69dda4c-1311-4376-8f47-855cae61799b + 2bd2f342-3868-46a8-b091-2121183f9fb7 + 48099344-617a-4929-a66f-fec7ab3d4afb + 9f7384eb-c649-4742-a327-81feb1906785 + 2ff3e964-219b-4094-a76a-34df9b871ee9 + e58101fd-fa11-4e34-b636-f46fa022581c + ffa4f3da-c167-439e-9439-fae140c43c5a + 7951e322-6f89-4c62-911e-43899993d21e + 3f879e60-3daa-43ef-a228-f571f145b353 + 04819f51-3ef5-4f05-a1c1-e17b9546ed74 + 61172d09-8902-4f10-b2c7-17cd51e5027a + b5b899a1-84ac-4fa0-a768-c850b12c7691 + 2af7f12d-42dd-4647-b3c5-2dad5de770bc + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + 04b0d7b0-300c-4f1c-9d7e-f41a0e83a4c4 + e00ce40b-ecb5-4c8d-8d68-8d5c0aa50486 + a974ac3e-f4af-48c9-999a-d2329a3ad1e9 + e02c8247-aa66-49e1-a7c0-f831f4113bf4 + 1a0ff00c-ad3d-44d5-b6b8-1e5e3c702bf9 + 50767aea-5e04-4ad8-a3bb-2273d2e0ca5f + b8cc5c94-5e89-4fcd-9fda-2686d818fc62 + 9afb0544-51e9-40c4-aecb-21aa4eeda4c8 + ae2cc63f-a8af-4018-a449-3d8f87e3e5e9 + c4b38ca4-f087-4d8f-8a27-cd0113925a13 + a5b7a28c-c714-4e04-a20c-a1672c48d88b + 3aad9ca7-1883-4a7e-8ae5-1fb4937b0b3f + 3c8cf81e-1720-4651-b4bb-d6e1fd8819ee + 18afda8e-f24e-4448-8fa3-5a49fbcb28ca + b5da1097-2a48-4cd6-a489-40cb2c221f47 + 07fc185b-285c-4d94-bbde-e0ed5aaf023f + 53979eb6-9c9b-437c-b4e7-4b6b9a1dab95 + af64ea04-5511-4bb8-816c-4ed0705490f6 + 4d9514a4-6cbd-4d54-af16-2f88e8f4d1d1 + 8d8e45b6-007c-4f16-8238-2801dae68966 + bd2898b9-73bb-4f3e-ad59-dd7a36b40460 + 6fa31a4c-4d12-4c66-a161-dba69c84582b + 40c4fee9-ed72-44e0-9487-c1b6d27ec5d7 + 21e86b7b-3b35-4a89-929c-c6381ca2343c + 0b19f101-19e4-47e9-a4d6-7abdb0a95380 + 0bb08cee-3279-44b7-bfd8-62b20eb39978 + 0db85545-2abc-408a-a205-3415624eb0b5 + 679891f5-4c19-4bdd-9087-054e9a29e795 + 66da5c64-2186-4036-af21-cc53ca0c7db4 + 8ad9374d-afcb-4796-84e7-8728425be2be + 3f13fe4e-bf76-447f-8707-32c517a7b1a2 + a6af5b65-d9e5-4705-b850-f1e26fdaf68a + 3311fde3-9c8c-4c18-b745-432105d58c63 + 85 + aa88b280-104b-485a-a623-7becc3d592e6 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e86e1333-996d-426d-9d43-729770fc5d9e + 885f2e1d-5cb2-4ac3-99db-2afaa276d3c4 + d3fa259b-9cf3-4618-8cdb-49e372ea33af + fe3301eb-6cbd-42f9-87ee-9b4fda2fed9d + b8d31e82-7624-4e46-b20b-4eb86b4ba78d + fc31f1c6-d0ba-4d8e-a16b-59ed97dfcf5d + 6293ad42-b56a-42a9-b8a7-0b75bc77d29a + 1ada7be1-89a0-4450-87b9-20e93d1acfb8 + 56294286-d42f-4763-9849-2c890745dbc5 + 5fbe45e5-87d0-4cad-b63f-8bb82a20ee3e + ee3c2f43-73b5-472e-b7e2-0db184021600 + 0a3d7a60-480c-451b-8e1d-c334c9932d8e + 9a1c517e-848c-43b1-87fc-42a28832bfde + c224342c-801f-4459-9224-44879ddf539f + def91bd9-37fa-4802-a0b4-1ddfb4722e3f + 9283d059-2d52-4d86-9362-5e2baf255c27 + d5894a96-90d1-47d4-bf1e-1745cd1934d7 + d9a4a6e3-c722-410c-a790-c549c6d0ae5e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 + 71112fe7-1fea-47f3-b4e9-ce6884c9ceaf + 85eb4dac-c74b-4487-ab1d-eb90b550227a + fc0a1afb-e49c-47ae-9f34-e01642b1f260 + b290088f-51c3-499d-bcc6-651a21180fbd + f2e3277d-70ea-4bdf-b0f6-693524cbaf85 + 4751e2e0-6092-46cd-980b-641ed6e917ee + fd670389-bfb1-48e6-8095-f6f97722a9b1 + 15b697dd-03e3-4b13-9e3b-1e060efec5bf + f084951b-766e-437c-b35d-714be45ce7b8 + 6ecc5a11-8bbc-46bc-8596-6b233cd01831 + 14b8f8d0-45ef-4704-b912-0fcc8b135f3a + 22a118c7-1cad-4618-866c-28f67d88c518 + 87b2f042-29bd-4276-877e-cf779572385b + efdc0f6f-4347-4267-a362-b2066e677d13 + 7791abdb-7ea1-41c5-88d3-5918db40045b + 618f3f32-a03d-4629-a735-0977fcd7d620 + c6648f71-7936-4ce9-9b78-78e1d02360d7 + c69dda4c-1311-4376-8f47-855cae61799b + 2bd2f342-3868-46a8-b091-2121183f9fb7 + 48099344-617a-4929-a66f-fec7ab3d4afb + 9f7384eb-c649-4742-a327-81feb1906785 + 2ff3e964-219b-4094-a76a-34df9b871ee9 + e58101fd-fa11-4e34-b636-f46fa022581c + ffa4f3da-c167-439e-9439-fae140c43c5a + 7951e322-6f89-4c62-911e-43899993d21e + 3f879e60-3daa-43ef-a228-f571f145b353 + 04819f51-3ef5-4f05-a1c1-e17b9546ed74 + 61172d09-8902-4f10-b2c7-17cd51e5027a + b5b899a1-84ac-4fa0-a768-c850b12c7691 + 2af7f12d-42dd-4647-b3c5-2dad5de770bc + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + 04b0d7b0-300c-4f1c-9d7e-f41a0e83a4c4 + e00ce40b-ecb5-4c8d-8d68-8d5c0aa50486 + a974ac3e-f4af-48c9-999a-d2329a3ad1e9 + e02c8247-aa66-49e1-a7c0-f831f4113bf4 + 1a0ff00c-ad3d-44d5-b6b8-1e5e3c702bf9 + 50767aea-5e04-4ad8-a3bb-2273d2e0ca5f + b8cc5c94-5e89-4fcd-9fda-2686d818fc62 + 9afb0544-51e9-40c4-aecb-21aa4eeda4c8 + ae2cc63f-a8af-4018-a449-3d8f87e3e5e9 + c4b38ca4-f087-4d8f-8a27-cd0113925a13 + a5b7a28c-c714-4e04-a20c-a1672c48d88b + 3aad9ca7-1883-4a7e-8ae5-1fb4937b0b3f + 3c8cf81e-1720-4651-b4bb-d6e1fd8819ee + 18afda8e-f24e-4448-8fa3-5a49fbcb28ca + b5da1097-2a48-4cd6-a489-40cb2c221f47 + 07fc185b-285c-4d94-bbde-e0ed5aaf023f + 53979eb6-9c9b-437c-b4e7-4b6b9a1dab95 + af64ea04-5511-4bb8-816c-4ed0705490f6 + 4d9514a4-6cbd-4d54-af16-2f88e8f4d1d1 + 8d8e45b6-007c-4f16-8238-2801dae68966 + bd2898b9-73bb-4f3e-ad59-dd7a36b40460 + 6fa31a4c-4d12-4c66-a161-dba69c84582b + 40c4fee9-ed72-44e0-9487-c1b6d27ec5d7 + 21e86b7b-3b35-4a89-929c-c6381ca2343c + 0b19f101-19e4-47e9-a4d6-7abdb0a95380 + 0bb08cee-3279-44b7-bfd8-62b20eb39978 + 0db85545-2abc-408a-a205-3415624eb0b5 + 679891f5-4c19-4bdd-9087-054e9a29e795 + 79 + 9a9751c8-6b04-4028-a9b9-ab45a77adc44 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0bb08cee-3279-44b7-bfd8-62b20eb39978 + 1 + e86e1333-996d-426d-9d43-729770fc5d9e + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + d3fa259b-9cf3-4618-8cdb-49e372ea33af + 1 + 885f2e1d-5cb2-4ac3-99db-2afaa276d3c4 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + fe3301eb-6cbd-42f9-87ee-9b4fda2fed9d + 1 + d3fa259b-9cf3-4618-8cdb-49e372ea33af + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + b8d31e82-7624-4e46-b20b-4eb86b4ba78d + 1 + fe3301eb-6cbd-42f9-87ee-9b4fda2fed9d + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + fc31f1c6-d0ba-4d8e-a16b-59ed97dfcf5d + 1 + b8d31e82-7624-4e46-b20b-4eb86b4ba78d + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 6293ad42-b56a-42a9-b8a7-0b75bc77d29a + 1 + fc31f1c6-d0ba-4d8e-a16b-59ed97dfcf5d + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 56294286-d42f-4763-9849-2c890745dbc5 + 1 + 6293ad42-b56a-42a9-b8a7-0b75bc77d29a + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 1ada7be1-89a0-4450-87b9-20e93d1acfb8 + Curve + Curve + false + 0 + + + + + + 4399 + 21496 + 50 + 24 + + + 4424.946 + 21508.43 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 1ada7be1-89a0-4450-87b9-20e93d1acfb8 + 1 + 56294286-d42f-4763-9849-2c890745dbc5 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f084951b-766e-437c-b35d-714be45ce7b8 + 1 + 5fbe45e5-87d0-4cad-b63f-8bb82a20ee3e + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0a3d7a60-480c-451b-8e1d-c334c9932d8e + 9a1c517e-848c-43b1-87fc-42a28832bfde + c224342c-801f-4459-9224-44879ddf539f + def91bd9-37fa-4802-a0b4-1ddfb4722e3f + 9283d059-2d52-4d86-9362-5e2baf255c27 + d5894a96-90d1-47d4-bf1e-1745cd1934d7 + d9a4a6e3-c722-410c-a790-c549c6d0ae5e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 71112fe7-1fea-47f3-b4e9-ce6884c9ceaf + e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 + 5fbe45e5-87d0-4cad-b63f-8bb82a20ee3e + 56294286-d42f-4763-9849-2c890745dbc5 + b5da1097-2a48-4cd6-a489-40cb2c221f47 + 07fc185b-285c-4d94-bbde-e0ed5aaf023f + 53979eb6-9c9b-437c-b4e7-4b6b9a1dab95 + af64ea04-5511-4bb8-816c-4ed0705490f6 + 4d9514a4-6cbd-4d54-af16-2f88e8f4d1d1 + 8d8e45b6-007c-4f16-8238-2801dae68966 + 3aad9ca7-1883-4a7e-8ae5-1fb4937b0b3f + 3c8cf81e-1720-4651-b4bb-d6e1fd8819ee + 20 + ee3c2f43-73b5-472e-b7e2-0db184021600 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 0a3d7a60-480c-451b-8e1d-c334c9932d8e + Duplicate Data + Duplicate Data + + + + + + 4373 + 22659 + 104 + 64 + + + 4432 + 22691 + + + + + + 1 + Data to duplicate + c1bcdb8b-a8de-42b8-bc97-b9013965a2b3 + Data + Data + false + 207d9cec-a4d2-425f-8c18-c1b9a6493af2 + 1 + + + + + + 4375 + 22661 + 42 + 20 + + + 4397.5 + 22671 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + f6dc3c10-a8b6-43ec-b7a4-49f7b5396cfc + Number + Number + false + 18afda8e-f24e-4448-8fa3-5a49fbcb28ca + 1 + + + + + + 4375 + 22681 + 42 + 20 + + + 4397.5 + 22691 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 34747507-1a6e-45b5-b4c3-d26c4929ffa2 + Order + Order + false + 0 + + + + + + 4375 + 22701 + 42 + 20 + + + 4397.5 + 22711 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 97811af2-0aca-4f54-8b25-1ba9649407a5 + Data + Data + false + 0 + + + + + + 4447 + 22661 + 28 + 60 + + + 4462.5 + 22691 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 9a1c517e-848c-43b1-87fc-42a28832bfde + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 4359 + 20731 + 116 + 44 + + + 4420 + 20753 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 347a5f6d-80d3-4e82-87b3-db3f0ff054cb + Forward + Forward + true + 1 + true + 97811af2-0aca-4f54-8b25-1ba9649407a5 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 4361 + 20733 + 44 + 20 + + + 4384.5 + 20743 + + + + + + + + 1 + false + Script Variable Left + bdf83768-9d65-4c4f-ac4e-ca87d3d0f4ce + Left + Left + true + 1 + true + 1c8ee915-ea01-475d-abde-9b8ca4ca0fea + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 4361 + 20753 + 44 + 20 + + + 4384.5 + 20763 + + + + + + + + Print, Reflect and Error streams + 8f55da05-d245-4a81-a63b-5cc4a12e6ea6 + Output + Output + false + 0 + + + + + + 4435 + 20733 + 38 + 20 + + + 4455.5 + 20743 + + + + + + + + Output parameter Points + 51d8b6ea-0964-4fcf-99d0-55c92d4e3230 + Points + Points + false + 0 + + + + + + 4435 + 20753 + 38 + 20 + + + 4455.5 + 20763 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + def91bd9-37fa-4802-a0b4-1ddfb4722e3f + Series + Series + + + + + + 4370 + 21988 + 101 + 64 + + + 4420 + 22020 + + + + + + First number in the series + 0f3c2dc1-bad6-429b-9a52-639d852042bd + Start + Start + false + 0 + + + + + + 4372 + 21990 + 33 + 20 + + + 4390 + 22000 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 7a306ee6-211e-4c63-a562-54892d2536c5 + Step + Step + false + 0b19f101-19e4-47e9-a4d6-7abdb0a95380 + 1 + + + + + + 4372 + 22010 + 33 + 20 + + + 4390 + 22020 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 4ddb0e87-a79a-4db0-8382-2c4d2586eeb4 + Count + Count + false + 18afda8e-f24e-4448-8fa3-5a49fbcb28ca + 1 + + + + + + 4372 + 22030 + 33 + 20 + + + 4390 + 22040 + + + + + + + + 1 + Series of numbers + b14d6bac-1c0b-4330-b6ec-6e130a31f993 + Series + Series + false + 0 + + + + + + 4435 + 21990 + 34 + 60 + + + 4453.5 + 22020 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 9283d059-2d52-4d86-9362-5e2baf255c27 + Number Slider + + false + 0 + + + + + + 4357 + 22887 + 150 + 20 + + + 4357.626 + 22887.28 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + d5894a96-90d1-47d4-bf1e-1745cd1934d7 + Radians + Radians + + + + + + 4366 + 22249 + 120 + 28 + + + 4427 + 22263 + + + + + + Angle in degrees + 07e0c639-e24e-4586-bcfb-7f132ff21eee + Degrees + Degrees + false + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 1 + + + + + + 4368 + 22251 + 44 + 24 + + + 4391.5 + 22263 + + + + + + + + Angle in radians + 4c6f9405-70bf-4366-aebe-2bfeb9080f3d + Radians + Radians + false + 0 + + + + + + 4442 + 22251 + 42 + 24 + + + 4464.5 + 22263 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + d9a4a6e3-c722-410c-a790-c549c6d0ae5e + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 4297 + 22595 + 251 + 20 + + + 4297.837 + 22595.27 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 + Interpolate (t) + Interpolate (t) + + + + + + 4345 + 19966 + 144 + 84 + + + 4431 + 20008 + + + + + + 1 + Interpolation points + 38e7180b-8c8a-44b2-9e59-518e36fdaced + Vertices + Vertices + false + 9d5c8bd8-8469-41e2-a537-e174f9e35067 + 1 + + + + + + 4347 + 19968 + 69 + 20 + + + 4383 + 19978 + + + + + + + + Tangent at start of curve + 70b98e12-800b-4e3b-bbd5-49bf7caa1c83 + Tangent Start + Tangent Start + false + 0 + + + + + + 4347 + 19988 + 69 + 20 + + + 4383 + 19998 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + b33ea881-bf00-452d-aa80-ee5f3c908ca5 + Tangent End + Tangent End + false + 0 + + + + + + 4347 + 20008 + 69 + 20 + + + 4383 + 20018 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + d99a5997-1b10-4cba-a065-5710f9120cd7 + KnotStyle + KnotStyle + false + 0 + + + + + + 4347 + 20028 + 69 + 20 + + + 4383 + 20038 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 999fd7e2-51af-4c75-9bed-a576dca901c6 + Curve + Curve + false + 0 + + + + + + 4446 + 19968 + 41 + 26 + + + 4468 + 19981.33 + + + + + + + + Curve length + 974706f3-32dd-43a9-9fe0-bdc976e1e316 + Length + Length + false + 0 + + + + + + 4446 + 19994 + 41 + 27 + + + 4468 + 20008 + + + + + + + + Curve domain + 37aa1cd7-8c57-46f6-b234-a862c6ca063a + Domain + Domain + false + 0 + + + + + + 4446 + 20021 + 41 + 27 + + + 4468 + 20034.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0a3d7a60-480c-451b-8e1d-c334c9932d8e + 9a1c517e-848c-43b1-87fc-42a28832bfde + c224342c-801f-4459-9224-44879ddf539f + def91bd9-37fa-4802-a0b4-1ddfb4722e3f + 9283d059-2d52-4d86-9362-5e2baf255c27 + d5894a96-90d1-47d4-bf1e-1745cd1934d7 + d9a4a6e3-c722-410c-a790-c549c6d0ae5e + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 6fa31a4c-4d12-4c66-a161-dba69c84582b + 87b2f042-29bd-4276-877e-cf779572385b + a5b7a28c-c714-4e04-a20c-a1672c48d88b + bd2898b9-73bb-4f3e-ad59-dd7a36b40460 + 40c4fee9-ed72-44e0-9487-c1b6d27ec5d7 + 0598e9e1-8220-4e81-af9f-441038d63c96 + 5627684b-fce3-4a31-aeeb-5e764ceff882 + c8207dde-4bfa-4fe8-8975-fa4b4e4ada74 + 16 + 71112fe7-1fea-47f3-b4e9-ce6884c9ceaf + Group + + + + + + + + + + + 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 + 85eb4dac-c74b-4487-ab1d-eb90b550227a + Evaluate Length + Evaluate Length + + + + + + 4345 + 19798 + 144 + 64 + + + 4419 + 19830 + + + + + + Curve to evaluate + 6cb975b7-2be7-4b12-adc6-ee80e2a19b78 + Curve + Curve + false + 999fd7e2-51af-4c75-9bed-a576dca901c6 + 1 + + + + + + 4347 + 19800 + 57 + 20 + + + 4377 + 19810 + + + + + + + + Length factor for curve evaluation + 1be9fca7-2617-4384-8091-20939534cc87 + Length + Length + false + 0 + + + + + + 4347 + 19820 + 57 + 20 + + + 4377 + 19830 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 19af5ffb-cd25-4608-a4c2-ca2b9b1a0389 + Normalized + Normalized + false + 0 + + + + + + 4347 + 19840 + 57 + 20 + + + 4377 + 19850 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + e629d262-ea3f-4304-ac40-fc5f3ba9690e + Point + Point + false + 0 + + + + + + 4434 + 19800 + 53 + 20 + + + 4462 + 19810 + + + + + + + + Tangent vector at the specified length + f404b052-c0c3-4baf-99d1-1724976e2a6d + Tangent + Tangent + false + 0 + + + + + + 4434 + 19820 + 53 + 20 + + + 4462 + 19830 + + + + + + + + Curve parameter at the specified length + 49cfd836-1d5c-4f4b-aafb-3497bfe0abc1 + Parameter + Parameter + false + 0 + + + + + + 4434 + 19840 + 53 + 20 + + + 4462 + 19850 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + fc0a1afb-e49c-47ae-9f34-e01642b1f260 + Mirror + Mirror + + + + + + 4348 + 19736 + 138 + 44 + + + 4416 + 19758 + + + + + + Base geometry + 9835bdbe-e1bc-4366-a386-e744318522d4 + Geometry + Geometry + true + 999fd7e2-51af-4c75-9bed-a576dca901c6 + 1 + + + + + + 4350 + 19738 + 51 + 20 + + + 4377 + 19748 + + + + + + + + Mirror plane + 570781c8-3192-44da-a80c-aa6338512118 + Plane + Plane + false + 9b8c9bd8-b093-4ee4-b444-c101a9496e02 + 1 + + + + + + 4350 + 19758 + 51 + 20 + + + 4377 + 19768 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 59f1e754-03a8-42eb-a33d-d187d51b98cc + Geometry + Geometry + false + 0 + + + + + + 4431 + 19738 + 53 + 20 + + + 4459 + 19748 + + + + + + + + Transformation data + ea2e2479-cef6-4642-8bb2-d9c621d72819 + Transform + Transform + false + 0 + + + + + + 4431 + 19758 + 53 + 20 + + + 4459 + 19768 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + b290088f-51c3-499d-bcc6-651a21180fbd + Line SDL + Line SDL + + + + + + 4364 + 19882 + 106 + 64 + + + 4428 + 19914 + + + + + + Line start point + 49f703c9-9b23-47a4-a3ca-f43d8574a657 + Start + Start + false + e629d262-ea3f-4304-ac40-fc5f3ba9690e + 1 + + + + + + 4366 + 19884 + 47 + 20 + + + 4391 + 19894 + + + + + + + + Line tangent (direction) + 345bd603-2311-43be-bf68-8220adab479b + Direction + Direction + false + f404b052-c0c3-4baf-99d1-1724976e2a6d + 1 + + + + + + 4366 + 19904 + 47 + 20 + + + 4391 + 19914 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 739cf427-bde4-49a8-9605-3a16991456d3 + Length + Length + false + 0 + + + + + + 4366 + 19924 + 47 + 20 + + + 4391 + 19934 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 9b8c9bd8-b093-4ee4-b444-c101a9496e02 + Line + Line + false + 0 + + + + + + 4443 + 19884 + 25 + 60 + + + 4457 + 19914 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + f2e3277d-70ea-4bdf-b0f6-693524cbaf85 + Join Curves + Join Curves + + + + + + 4358 + 19674 + 118 + 44 + + + 4421 + 19696 + + + + + + 1 + Curves to join + 0c38b4d6-8bfc-49e9-b6f6-09dcbe618d49 + Curves + Curves + false + 999fd7e2-51af-4c75-9bed-a576dca901c6 + 59f1e754-03a8-42eb-a33d-d187d51b98cc + 2 + + + + + + 4360 + 19676 + 46 + 20 + + + 4384.5 + 19686 + + + + + + + + Preserve direction of input curves + 946b2f20-d666-4aa8-821d-7868b8c74ba0 + Preserve + Preserve + false + 0 + + + + + + 4360 + 19696 + 46 + 20 + + + 4384.5 + 19706 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + dde4faf6-60a2-4e1e-abf7-3dd17012994e + Curves + Curves + false + 0 + + + + + + 4436 + 19676 + 38 + 40 + + + 4456.5 + 19696 + + + + + + + + + + + + 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 + 4751e2e0-6092-46cd-980b-641ed6e917ee + Evaluate Length + Evaluate Length + + + + + + 4345 + 19590 + 144 + 64 + + + 4419 + 19622 + + + + + + Curve to evaluate + 372750a2-aac5-4675-a32e-6a365c02c99b + Curve + Curve + false + dde4faf6-60a2-4e1e-abf7-3dd17012994e + 1 + + + + + + 4347 + 19592 + 57 + 20 + + + 4377 + 19602 + + + + + + + + Length factor for curve evaluation + 3da6d7f3-5930-4d92-b938-68fdeee2905b + Length + Length + false + 0 + + + + + + 4347 + 19612 + 57 + 20 + + + 4377 + 19622 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 83395691-83ae-4432-a928-794fcea824e2 + Normalized + Normalized + false + 0 + + + + + + 4347 + 19632 + 57 + 20 + + + 4377 + 19642 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 4e6c8214-fa2b-4fcb-9201-b38e47e15645 + Point + Point + false + 0 + + + + + + 4434 + 19592 + 53 + 20 + + + 4462 + 19602 + + + + + + + + Tangent vector at the specified length + 9b6b898b-0acb-4ba1-9bbf-7e4bbababa7b + Tangent + Tangent + false + 0 + + + + + + 4434 + 19612 + 53 + 20 + + + 4462 + 19622 + + + + + + + + Curve parameter at the specified length + d1a71204-a881-45ef-b6fc-b9dbb9cd14b0 + Parameter + Parameter + false + 0 + + + + + + 4434 + 19632 + 53 + 20 + + + 4462 + 19642 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + fd670389-bfb1-48e6-8095-f6f97722a9b1 + Rotate + Rotate + + + + + + 4348 + 19507 + 138 + 64 + + + 4416 + 19539 + + + + + + Base geometry + 215ad207-5b7b-4f27-b6b5-f92e88682ed0 + Geometry + Geometry + true + dde4faf6-60a2-4e1e-abf7-3dd17012994e + 1 + + + + + + 4350 + 19509 + 51 + 20 + + + 4377 + 19519 + + + + + + + + Rotation angle in radians + 69e2459f-cb1e-4c90-892e-0f846baa524a + Angle + Angle + false + 0 + false + + + + + + 4350 + 19529 + 51 + 20 + + + 4377 + 19539 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 25d4fea7-29a1-4b79-b46a-3f766ab20998 + Plane + Plane + false + 4e6c8214-fa2b-4fcb-9201-b38e47e15645 + 1 + + + + + + 4350 + 19549 + 51 + 20 + + + 4377 + 19559 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 586fb019-0eda-4995-80e1-91db7f614783 + Geometry + Geometry + false + 0 + + + + + + 4431 + 19509 + 53 + 30 + + + 4459 + 19524 + + + + + + + + Transformation data + 0773c6a2-c99f-4c5d-aa8c-bd50133c2241 + Transform + Transform + false + 0 + + + + + + 4431 + 19539 + 53 + 30 + + + 4459 + 19554 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 15b697dd-03e3-4b13-9e3b-1e060efec5bf + Join Curves + Join Curves + + + + + + 4358 + 19444 + 118 + 44 + + + 4421 + 19466 + + + + + + 1 + Curves to join + 65c295ee-1b46-4d0d-bab6-af50d820e4bf + Curves + Curves + false + dde4faf6-60a2-4e1e-abf7-3dd17012994e + 586fb019-0eda-4995-80e1-91db7f614783 + 2 + + + + + + 4360 + 19446 + 46 + 20 + + + 4384.5 + 19456 + + + + + + + + Preserve direction of input curves + 62d37571-300a-41a8-aa38-54495199b18a + Preserve + Preserve + false + 0 + + + + + + 4360 + 19466 + 46 + 20 + + + 4384.5 + 19476 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 586a061e-0e58-4e4d-8ab5-09851aa51eb8 + Curves + Curves + false + 0 + + + + + + 4436 + 19446 + 38 + 40 + + + 4456.5 + 19466 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e5d6d52d-2e6d-41ec-9c34-ca12be6a9777 + 85eb4dac-c74b-4487-ab1d-eb90b550227a + fc0a1afb-e49c-47ae-9f34-e01642b1f260 + b290088f-51c3-499d-bcc6-651a21180fbd + f2e3277d-70ea-4bdf-b0f6-693524cbaf85 + 4751e2e0-6092-46cd-980b-641ed6e917ee + fd670389-bfb1-48e6-8095-f6f97722a9b1 + 15b697dd-03e3-4b13-9e3b-1e060efec5bf + 14b8f8d0-45ef-4704-b912-0fcc8b135f3a + d478f100-725b-4409-a7b6-375d5771f6d1 + fe323d14-26b4-40ee-b6c3-d29c50862bda + 9d5c8bd8-8469-41e2-a537-e174f9e35067 + a41828e4-8b7d-4583-8576-6498debc414a + 65772831-622c-45f0-8b74-27794372ba84 + 93600863-543e-4c15-8ca0-9aa3a4c41133 + 15 + f084951b-766e-437c-b35d-714be45ce7b8 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6ecc5a11-8bbc-46bc-8596-6b233cd01831 + Panel + + false + 0 + e58101fd-fa11-4e34-b636-f46fa022581c + 1 + Double click to edit panel content… + + + + + + 4351 + 22081 + 145 + 20 + + 0 + 0 + 0 + + 4351.366 + 22081.78 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 14b8f8d0-45ef-4704-b912-0fcc8b135f3a + Curve + Curve + false + 586a061e-0e58-4e4d-8ab5-09851aa51eb8 + 1 + + + + + + 4399 + 19409 + 50 + 24 + + + 4424.946 + 19421.34 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 14b8f8d0-45ef-4704-b912-0fcc8b135f3a + 1 + 22a118c7-1cad-4618-866c-28f67d88c518 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 87b2f042-29bd-4276-877e-cf779572385b + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 4205 + 22318 + 439 + 20 + + 0 + 0 + 0 + + 4205.927 + 22318.46 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + efdc0f6f-4347-4267-a362-b2066e677d13 + Evaluate Length + Evaluate Length + + + + + + 4345 + 19318 + 144 + 64 + + + 4419 + 19350 + + + + + + Curve to evaluate + 5941985e-81a5-4c46-a0de-55adf4a0186a + Curve + Curve + false + 586a061e-0e58-4e4d-8ab5-09851aa51eb8 + 1 + + + + + + 4347 + 19320 + 57 + 20 + + + 4377 + 19330 + + + + + + + + Length factor for curve evaluation + 08da2794-9553-4af3-946c-da9c5067de76 + Length + Length + false + 0 + + + + + + 4347 + 19340 + 57 + 20 + + + 4377 + 19350 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 3f3939ae-2110-41e4-babc-49ba734ec842 + Normalized + Normalized + false + 0 + + + + + + 4347 + 19360 + 57 + 20 + + + 4377 + 19370 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 7f508137-51bc-436d-804f-01b08f71c261 + Point + Point + false + 0 + + + + + + 4434 + 19320 + 53 + 20 + + + 4462 + 19330 + + + + + + + + Tangent vector at the specified length + a39396f7-2236-4aaa-8de2-64928664165b + Tangent + Tangent + false + 0 + + + + + + 4434 + 19340 + 53 + 20 + + + 4462 + 19350 + + + + + + + + Curve parameter at the specified length + 78af0065-f39e-4d35-acf0-27b65c63c3ab + Parameter + Parameter + false + 0 + + + + + + 4434 + 19360 + 53 + 20 + + + 4462 + 19370 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 7791abdb-7ea1-41c5-88d3-5918db40045b + Expression + Expression + + + + + + 4320 + 19096 + 194 + 28 + + + 4420 + 19110 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0a4d58b6-009e-4804-8fa1-eb5b39975ed5 + Variable O + O + true + 72839dd2-6065-4a41-ada8-6a6c226009cf + 1 + + + + + + 4322 + 19098 + 14 + 24 + + + 4330.5 + 19110 + + + + + + + + Result of expression + 89cc53c7-a51f-442a-9d09-8f902e22b247 + Result + + false + 0 + + + + + + 4503 + 19098 + 9 + 24 + + + 4509 + 19110 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 618f3f32-a03d-4629-a735-0977fcd7d620 + Deconstruct + Deconstruct + + + + + + 4351 + 19230 + 132 + 64 + + + 4398 + 19262 + + + + + + Input point + 9163e150-b5e2-413f-8888-e91bd60706c3 + Point + Point + false + 7f508137-51bc-436d-804f-01b08f71c261 + 1 + + + + + + 4353 + 19232 + 30 + 60 + + + 4369.5 + 19262 + + + + + + + + Point {x} component + 72839dd2-6065-4a41-ada8-6a6c226009cf + X component + X component + false + 0 + + + + + + 4413 + 19232 + 68 + 20 + + + 4448.5 + 19242 + + + + + + + + Point {y} component + c0484107-28da-417a-856e-675f4c5b4cef + Y component + Y component + false + 0 + + + + + + 4413 + 19252 + 68 + 20 + + + 4448.5 + 19262 + + + + + + + + Point {z} component + bcbea2b7-9150-4d7b-8760-e44d277a4231 + Z component + Z component + false + 0 + + + + + + 4413 + 19272 + 68 + 20 + + + 4448.5 + 19282 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c6648f71-7936-4ce9-9b78-78e1d02360d7 + Panel + + false + 0 + 89cc53c7-a51f-442a-9d09-8f902e22b247 + 1 + Double click to edit panel content… + + + + + + 4343 + 19074 + 160 + 20 + + 0 + 0 + 0 + + 4343.718 + 19074.92 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + c69dda4c-1311-4376-8f47-855cae61799b + Expression + Expression + + + + + + 4320 + 19010 + 194 + 28 + + + 4420 + 19024 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7d96e1d9-cc7a-495f-a005-e8616f16f49e + Variable O + O + true + c0484107-28da-417a-856e-675f4c5b4cef + 1 + + + + + + 4322 + 19012 + 14 + 24 + + + 4330.5 + 19024 + + + + + + + + Result of expression + 8323ed63-598f-48fe-b695-18cdb4d332d7 + Result + + false + 0 + + + + + + 4503 + 19012 + 9 + 24 + + + 4509 + 19024 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2bd2f342-3868-46a8-b091-2121183f9fb7 + Panel + + false + 0 + 8323ed63-598f-48fe-b695-18cdb4d332d7 + 1 + Double click to edit panel content… + + + + + + 4343 + 18986 + 160 + 20 + + 0 + 0 + 0 + + 4343.718 + 18986.49 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 48099344-617a-4929-a66f-fec7ab3d4afb + Division + Division + + + + + + 4376 + 18908 + 82 + 44 + + + 4407 + 18930 + + + + + + Item to divide (dividend) + 834f7056-44e3-4c31-8146-9915598e7765 + A + A + false + c6648f71-7936-4ce9-9b78-78e1d02360d7 + 1 + + + + + + 4378 + 18910 + 14 + 20 + + + 4386.5 + 18920 + + + + + + + + Item to divide with (divisor) + f5b202bc-0d98-4b04-847f-ad22fac6521e + B + B + false + 2bd2f342-3868-46a8-b091-2121183f9fb7 + 1 + + + + + + 4378 + 18930 + 14 + 20 + + + 4386.5 + 18940 + + + + + + + + The result of the Division + 2198150d-8bac-45fd-aaf3-34e40c8ee272 + Result + Result + false + 0 + + + + + + 4422 + 18910 + 34 + 40 + + + 4440.5 + 18930 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9f7384eb-c649-4742-a327-81feb1906785 + Panel + + false + 0 + e58101fd-fa11-4e34-b636-f46fa022581c + 1 + Double click to edit panel content… + + + + + + 4343 + 18838 + 160 + 20 + + 0 + 0 + 0 + + 4343.956 + 18838.98 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 2ff3e964-219b-4094-a76a-34df9b871ee9 + Expression + Expression + + + + + + 4320 + 18861 + 194 + 28 + + + 4420 + 18875 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 16f75d72-2085-4ea1-a6b5-a73a735b9e39 + Variable O + O + true + 2198150d-8bac-45fd-aaf3-34e40c8ee272 + 1 + + + + + + 4322 + 18863 + 14 + 24 + + + 4330.5 + 18875 + + + + + + + + Result of expression + e950c6ca-b4d1-4407-87ad-6749815c647d + Result + + false + 0 + + + + + + 4503 + 18863 + 9 + 24 + + + 4509 + 18875 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e58101fd-fa11-4e34-b636-f46fa022581c + Relay + + false + e950c6ca-b4d1-4407-87ad-6749815c647d + 1 + + + + + + 4397 + 18786 + 40 + 16 + + + 4417 + 18794 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + ffa4f3da-c167-439e-9439-fae140c43c5a + Addition + Addition + + + + + + 4376 + 18723 + 82 + 44 + + + 4407 + 18745 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 325f0739-034c-43a1-8353-56eaad0a0ee3 + A + A + true + 2bd2f342-3868-46a8-b091-2121183f9fb7 + 1 + + + + + + 4378 + 18725 + 14 + 20 + + + 4386.5 + 18735 + + + + + + + + Second item for addition + ef45c4fb-32f8-4746-ac9d-4fa1d856bfde + B + B + true + c6648f71-7936-4ce9-9b78-78e1d02360d7 + 1 + + + + + + 4378 + 18745 + 14 + 20 + + + 4386.5 + 18755 + + + + + + + + Result of addition + f2a3644f-2c54-4945-959e-c0099d935b04 + Result + Result + false + 0 + + + + + + 4422 + 18725 + 34 + 40 + + + 4440.5 + 18745 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 7951e322-6f89-4c62-911e-43899993d21e + Division + Division + + + + + + 4376 + 18573 + 82 + 44 + + + 4407 + 18595 + + + + + + Item to divide (dividend) + 503711cc-6129-4a5e-8a86-3fb4b605ea3d + A + A + false + 61172d09-8902-4f10-b2c7-17cd51e5027a + 1 + + + + + + 4378 + 18575 + 14 + 20 + + + 4386.5 + 18585 + + + + + + + + Item to divide with (divisor) + 8352ca73-bbcb-4d3f-8e10-84039c6586ee + B + B + false + 0 + + + + + + 4378 + 18595 + 14 + 20 + + + 4386.5 + 18605 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 2dff2c6d-6bb5-4e30-8954-cf5ddb6f8c3d + Result + Result + false + 0 + + + + + + 4422 + 18575 + 34 + 40 + + + 4440.5 + 18595 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3f879e60-3daa-43ef-a228-f571f145b353 + Expression + Expression + + + + + + 4320 + 18525 + 194 + 28 + + + 4420 + 18539 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 06d03132-7d32-48b2-a272-050fe4c948d1 + Variable O + O + true + 2dff2c6d-6bb5-4e30-8954-cf5ddb6f8c3d + 1 + + + + + + 4322 + 18527 + 14 + 24 + + + 4330.5 + 18539 + + + + + + + + Result of expression + b9d22025-768f-4239-a254-21a4b342b0ab + Result + + false + 0 + + + + + + 4503 + 18527 + 9 + 24 + + + 4509 + 18539 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 04819f51-3ef5-4f05-a1c1-e17b9546ed74 + Panel + + false + 0 + b9d22025-768f-4239-a254-21a4b342b0ab + 1 + Double click to edit panel content… + + + + + + 4343 + 18502 + 160 + 20 + + 0 + 0 + 0 + + 4343.718 + 18502.84 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 61172d09-8902-4f10-b2c7-17cd51e5027a + Panel + + false + 0 + 243e112c-da2b-4083-8aef-daa7ad6f181d + 1 + Double click to edit panel content… + + + + + + 4343 + 18654 + 160 + 20 + + 0 + 0 + 0 + + 4343.718 + 18654.75 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b5b899a1-84ac-4fa0-a768-c850b12c7691 + Expression + Expression + + + + + + 4320 + 18676 + 194 + 28 + + + 4420 + 18690 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 0061d545-7c8d-4ed7-bb46-e911c516f81f + Variable O + O + true + f2a3644f-2c54-4945-959e-c0099d935b04 + 1 + + + + + + 4322 + 18678 + 14 + 24 + + + 4330.5 + 18690 + + + + + + + + Result of expression + 243e112c-da2b-4083-8aef-daa7ad6f181d + Result + + false + 0 + + + + + + 4503 + 18678 + 9 + 24 + + + 4509 + 18690 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 2af7f12d-42dd-4647-b3c5-2dad5de770bc + Scale + Scale + + + + + + 4340 + 18402 + 154 + 64 + + + 4424 + 18434 + + + + + + Base geometry + a9ca66e0-63ab-425c-80aa-b5b95987ad22 + Geometry + Geometry + true + 14b8f8d0-45ef-4704-b912-0fcc8b135f3a + 1 + + + + + + 4342 + 18404 + 67 + 20 + + + 4385 + 18414 + + + + + + + + Center of scaling + 9fc1dae6-7308-4e22-89e6-876dfd55105c + Center + Center + false + 0 + + + + + + 4342 + 18424 + 67 + 20 + + + 4385 + 18434 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 4b5bc2d7-e92d-48ad-a207-b2e611a6529d + 1/X + Factor + Factor + false + 04819f51-3ef5-4f05-a1c1-e17b9546ed74 + 1 + + + + + + 4342 + 18444 + 67 + 20 + + + 4385 + 18454 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + c18a9447-0b39-435b-b676-68a7105df1a8 + Geometry + Geometry + false + 0 + + + + + + 4439 + 18404 + 53 + 30 + + + 4467 + 18419 + + + + + + + + Transformation data + 49a166a2-ccf1-4ff1-a244-10a386b65633 + Transform + Transform + false + 0 + + + + + + 4439 + 18434 + 53 + 30 + + + 4467 + 18449 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + Curve + Curve + false + c18a9447-0b39-435b-b676-68a7105df1a8 + 1 + + + + + + 4397 + 17808 + 50 + 24 + + + 4422.696 + 17820.34 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 04b0d7b0-300c-4f1c-9d7e-f41a0e83a4c4 + Expression + Expression + + + + + + 4320 + 19183 + 194 + 28 + + + 4420 + 19197 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 77883f19-fe56-4d4d-bde0-a92cc9d7de9e + Variable O + O + true + bcbea2b7-9150-4d7b-8760-e44d277a4231 + 1 + + + + + + 4322 + 19185 + 14 + 24 + + + 4330.5 + 19197 + + + + + + + + Result of expression + 483d5366-ae6a-4605-a776-7dede05b6901 + Result + + false + 0 + + + + + + 4503 + 19185 + 9 + 24 + + + 4509 + 19197 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e00ce40b-ecb5-4c8d-8d68-8d5c0aa50486 + Panel + + false + 0 + 483d5366-ae6a-4605-a776-7dede05b6901 + 1 + Double click to edit panel content… + + + + + + 4344 + 19160 + 160 + 20 + + 0 + 0 + 0 + + 4344.587 + 19160.69 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + a974ac3e-f4af-48c9-999a-d2329a3ad1e9 + Evaluate Length + Evaluate Length + + + + + + 4345 + 18192 + 144 + 64 + + + 4419 + 18224 + + + + + + Curve to evaluate + dd279833-3dc1-413e-981b-5e9a800bc9d2 + Curve + Curve + false + c18a9447-0b39-435b-b676-68a7105df1a8 + 1 + + + + + + 4347 + 18194 + 57 + 20 + + + 4377 + 18204 + + + + + + + + Length factor for curve evaluation + dd8b46e3-c743-4944-8f9b-b0b58e2be9d5 + Length + Length + false + 0 + + + + + + 4347 + 18214 + 57 + 20 + + + 4377 + 18224 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 8440a143-7377-44df-86e5-61e64f094168 + Normalized + Normalized + false + 0 + + + + + + 4347 + 18234 + 57 + 20 + + + 4377 + 18244 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + fe53ee4f-7852-465c-9e75-6adfb08f36f3 + Point + Point + false + 0 + + + + + + 4434 + 18194 + 53 + 20 + + + 4462 + 18204 + + + + + + + + Tangent vector at the specified length + 5586620c-327a-4b28-bc99-fd697b7741b6 + Tangent + Tangent + false + 0 + + + + + + 4434 + 18214 + 53 + 20 + + + 4462 + 18224 + + + + + + + + Curve parameter at the specified length + d475793d-3403-4886-bbc9-be5a3a5bc02f + Parameter + Parameter + false + 0 + + + + + + 4434 + 18234 + 53 + 20 + + + 4462 + 18244 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e02c8247-aa66-49e1-a7c0-f831f4113bf4 + Expression + Expression + + + + + + 4320 + 17975 + 194 + 28 + + + 4420 + 17989 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + afdfc549-12af-4caa-9ef3-8f334263bdb0 + Variable O + O + true + 28cce138-70cc-4c36-9dfa-4b145f5db265 + 1 + + + + + + 4322 + 17977 + 14 + 24 + + + 4330.5 + 17989 + + + + + + + + Result of expression + c536b556-64cc-4442-9fd3-e85a35cf2d61 + Result + + false + 0 + + + + + + 4503 + 17977 + 9 + 24 + + + 4509 + 17989 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 1a0ff00c-ad3d-44d5-b6b8-1e5e3c702bf9 + Deconstruct + Deconstruct + + + + + + 4351 + 18109 + 132 + 64 + + + 4398 + 18141 + + + + + + Input point + 4c86603b-2073-4b92-952e-4b87446fc8b6 + Point + Point + false + fe53ee4f-7852-465c-9e75-6adfb08f36f3 + 1 + + + + + + 4353 + 18111 + 30 + 60 + + + 4369.5 + 18141 + + + + + + + + Point {x} component + 28cce138-70cc-4c36-9dfa-4b145f5db265 + X component + X component + false + 0 + + + + + + 4413 + 18111 + 68 + 20 + + + 4448.5 + 18121 + + + + + + + + Point {y} component + 9a781b7e-29b8-44d9-9773-564d5dceec9a + Y component + Y component + false + 0 + + + + + + 4413 + 18131 + 68 + 20 + + + 4448.5 + 18141 + + + + + + + + Point {z} component + 5045e85a-e4e7-4dd9-a35b-31d7bf04836a + Z component + Z component + false + 0 + + + + + + 4413 + 18151 + 68 + 20 + + + 4448.5 + 18161 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 50767aea-5e04-4ad8-a3bb-2273d2e0ca5f + Panel + + false + 0 + c536b556-64cc-4442-9fd3-e85a35cf2d61 + 1 + Double click to edit panel content… + + + + + + 4343 + 17948 + 160 + 20 + + 0 + 0 + 0 + + 4343.968 + 17948.27 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b8cc5c94-5e89-4fcd-9fda-2686d818fc62 + Expression + Expression + + + + + + 4320 + 17889 + 194 + 28 + + + 4420 + 17903 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7c1f36b0-fd47-4a10-89f9-68efeaa7f9dc + Variable O + O + true + 9a781b7e-29b8-44d9-9773-564d5dceec9a + 1 + + + + + + 4322 + 17891 + 14 + 24 + + + 4330.5 + 17903 + + + + + + + + Result of expression + 8c1ff02e-0f54-40ca-9c88-39f5aa70fd6f + Result + + false + 0 + + + + + + 4503 + 17891 + 9 + 24 + + + 4509 + 17903 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9afb0544-51e9-40c4-aecb-21aa4eeda4c8 + Panel + + false + 0 + 8c1ff02e-0f54-40ca-9c88-39f5aa70fd6f + 1 + Double click to edit panel content… + + + + + + 4343 + 17862 + 160 + 20 + + 0 + 0 + 0 + + 4343.977 + 17862.63 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + ae2cc63f-a8af-4018-a449-3d8f87e3e5e9 + Expression + Expression + + + + + + 4320 + 18061 + 194 + 28 + + + 4420 + 18075 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e92b7ff8-ba38-42ff-a010-8e658a3045ea + Variable O + O + true + 5045e85a-e4e7-4dd9-a35b-31d7bf04836a + 1 + + + + + + 4322 + 18063 + 14 + 24 + + + 4330.5 + 18075 + + + + + + + + Result of expression + 3b25a617-5555-442d-905a-92c1d04991ea + Result + + false + 0 + + + + + + 4503 + 18063 + 9 + 24 + + + 4509 + 18075 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c4b38ca4-f087-4d8f-8a27-cd0113925a13 + Panel + + false + 0 + 3b25a617-5555-442d-905a-92c1d04991ea + 1 + Double click to edit panel content… + + + + + + 4343 + 18034 + 160 + 20 + + 0 + 0 + 0 + + 4343.718 + 18034.48 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a5b7a28c-c714-4e04-a20c-a1672c48d88b + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 4235 + 22388 + 379 + 104 + + 0 + 0 + 0 + + 4235.376 + 22388.93 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3aad9ca7-1883-4a7e-8ae5-1fb4937b0b3f + Panel + + false + 0 + fed61f29-31a5-4bf4-b461-0ce2612cd45d + 1 + Double click to edit panel content… + + + + + + 4258 + 20355 + 337 + 276 + + 0 + 0 + 0 + + 4258.302 + 20355.15 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 3c8cf81e-1720-4651-b4bb-d6e1fd8819ee + Expression + Expression + + + + + + 4320 + 20683 + 194 + 28 + + + 4420 + 20697 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9dc7f913-1388-4bd4-aab1-9723c624155a + Variable O + O + true + 51d8b6ea-0964-4fcf-99d0-55c92d4e3230 + 1 + + + + + + 4322 + 20685 + 14 + 24 + + + 4330.5 + 20697 + + + + + + + + Result of expression + fed61f29-31a5-4bf4-b461-0ce2612cd45d + Result + + false + 0 + + + + + + 4503 + 20685 + 9 + 24 + + + 4509 + 20697 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 18afda8e-f24e-4448-8fa3-5a49fbcb28ca + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 4407 + 22842 + 50 + 24 + + + 4432.677 + 22854.57 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + b5da1097-2a48-4cd6-a489-40cb2c221f47 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 4248 + 20965 + 160 + 224 + + + 4316 + 21077 + + + + + + 1 + One or multiple graph curves to graph map values with + c353f87d-921f-4335-9048-59443bbe8b64 + true + Curves + Curves + false + 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 + 1 + + + + + + 4250 + 20967 + 51 + 27 + + + 4277 + 20980.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 722d8e97-5e40-408f-bf17-c77e9f95179e + true + Rectangle + Rectangle + false + 3bbb8a7c-3af9-4f7a-9069-f53d1ba35f7e + 1 + + + + + + 4250 + 20994 + 51 + 28 + + + 4277 + 21008.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + ed13e5d7-1597-4d27-9be2-6d7503b5b548 + true + Values + Values + false + b14d6bac-1c0b-4330-b6ec-6e130a31f993 + 1 + + + + + + 4250 + 21022 + 51 + 27 + + + 4277 + 21035.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 5970e511-af97-455b-af3d-670e79d407bf + true + X Axis + X Axis + true + 0 + + + + + + 4250 + 21049 + 51 + 28 + + + 4277 + 21063.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + eb5f99e2-849d-45bf-a3b3-f2721535a635 + true + Y Axis + Y Axis + true + 0 + + + + + + 4250 + 21077 + 51 + 27 + + + 4277 + 21090.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + cbaaaa58-f54d-48eb-9a32-6c3eb45cbbe8 + true + Flip + Flip + false + 0 + + + + + + 4250 + 21104 + 51 + 28 + + + 4277 + 21118.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 9e54350d-3902-4db4-b313-6ded2187557d + true + Snap + Snap + false + 0 + + + + + + 4250 + 21132 + 51 + 27 + + + 4277 + 21145.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + f6304eab-cb6c-4abe-8c2a-4e481963b5dc + true + Text Size + Text Size + false + 0 + + + + + + 4250 + 21159 + 51 + 28 + + + 4277 + 21173.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + bd492d30-dca1-4039-b3d0-425a96477167 + true + Mapped + Mapped + false + 0 + + + + + + 4331 + 20967 + 75 + 20 + + + 4370 + 20977 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 0a8976db-bd6e-4c7d-a597-b196b7853cdf + true + Graph Curves + Graph Curves + false + 0 + + + + + + 4331 + 20987 + 75 + 20 + + + 4370 + 20997 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 7b280276-0da1-4999-87cb-32a5f6fb94c4 + true + Graph Points + Graph Points + false + 0 + + + + + + 4331 + 21007 + 75 + 20 + + + 4370 + 21017 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 989ca79f-9660-492e-bb0f-3bc4165c6bb7 + true + Value Lines + Value Lines + false + 0 + + + + + + 4331 + 21027 + 75 + 20 + + + 4370 + 21037 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + ebecfed1-30c7-48ad-b18a-d973f8df9fc2 + true + Value Points + Value Points + false + 0 + + + + + + 4331 + 21047 + 75 + 20 + + + 4370 + 21057 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 3a045e5b-acee-42d1-9ef7-ef418ea2f4b8 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 4331 + 21067 + 75 + 20 + + + 4370 + 21077 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + aca1a47e-4a47-4dee-bbb2-7baafdd95c1a + true + Mapped Points + Mapped Points + false + 0 + + + + + + 4331 + 21087 + 75 + 20 + + + 4370 + 21097 + + + + + + + + The graph boundary background as a surface + b7c6e2be-54ab-49ca-bb20-243b2be2a073 + true + Boundary + Boundary + false + 0 + + + + + + 4331 + 21107 + 75 + 20 + + + 4370 + 21117 + + + + + + + + 1 + The graph labels as curve outlines + 4eefae75-6a08-4796-aed6-77d4e75e9fc2 + true + Labels + Labels + false + 0 + + + + + + 4331 + 21127 + 75 + 20 + + + 4370 + 21137 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + dc9ded47-5348-4465-ba7c-4634d719cc0f + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 4331 + 21147 + 75 + 20 + + + 4370 + 21157 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 532c1637-977d-4e3c-afc9-a2d915938796 + true + Intersected + Intersected + false + 0 + + + + + + 4331 + 21167 + 75 + 20 + + + 4370 + 21177 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 07fc185b-285c-4d94-bbde-e0ed5aaf023f + End Points + End Points + + + + + + 4369 + 21390 + 96 + 44 + + + 4419 + 21412 + + + + + + Curve to evaluate + 5366e069-f211-4031-99c5-efc512454244 + Curve + Curve + false + 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 + 1 + + + + + + 4371 + 21392 + 33 + 40 + + + 4389 + 21412 + + + + + + + + Curve start point + ef3276e3-0c7a-4745-994e-64817518ef67 + Start + Start + false + 0 + + + + + + 4434 + 21392 + 29 + 20 + + + 4450 + 21402 + + + + + + + + Curve end point + e47125e0-2b31-474f-abee-422b2663c658 + End + End + false + 0 + + + + + + 4434 + 21412 + 29 + 20 + + + 4450 + 21422 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 53979eb6-9c9b-437c-b4e7-4b6b9a1dab95 + Rectangle 2Pt + Rectangle 2Pt + + + + + + 4359 + 21262 + 126 + 84 + + + 4417 + 21304 + + + + + + Rectangle base plane + 9e3d896b-84b4-4c8f-ad5d-d97d2721b48d + Plane + Plane + false + 0 + + + + + + 4361 + 21264 + 41 + 20 + + + 4383 + 21274 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + f1cfce6c-3ccd-40bb-a8b2-f3c27ba8f69e + Point A + Point A + false + ef3276e3-0c7a-4745-994e-64817518ef67 + 1 + + + + + + 4361 + 21284 + 41 + 20 + + + 4383 + 21294 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + d0b86255-a647-4b03-bb74-ec072a357fb6 + Point B + Point B + false + e47125e0-2b31-474f-abee-422b2663c658 + 1 + + + + + + 4361 + 21304 + 41 + 20 + + + 4383 + 21314 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 50b44396-6f8c-404f-8188-a0519feed785 + Radius + Radius + false + 0 + + + + + + 4361 + 21324 + 41 + 20 + + + 4383 + 21334 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 3bbb8a7c-3af9-4f7a-9069-f53d1ba35f7e + Rectangle + Rectangle + false + 0 + + + + + + 4432 + 21264 + 51 + 40 + + + 4459 + 21284 + + + + + + + + Length of rectangle curve + 51e4e8b2-ded7-4d55-a227-11b51a58747b + Length + Length + false + 0 + + + + + + 4432 + 21304 + 51 + 40 + + + 4459 + 21324 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + af64ea04-5511-4bb8-816c-4ed0705490f6 + GraphMapper+ + GraphMapper+ + + + + + false + + + + + + 4408 + 21085 + 126 + 104 + + + 4475 + 21137 + + + + + + External curve as a graph + 0ae7e9fb-fe90-4515-9a55-c93fba510eed + Curve + Curve + false + 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 + 1 + + + + + + 4410 + 21087 + 50 + 20 + + + 4436.5 + 21097 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + a4350732-493f-4ada-9fe6-986ed71f92ce + Boundary + Boundary + true + 3bbb8a7c-3af9-4f7a-9069-f53d1ba35f7e + 1 + + + + + + 4410 + 21107 + 50 + 20 + + + 4436.5 + 21117 + + + + + + + + 1 + List of input numbers + 96a94da3-0a4b-454c-a776-c548877be3c0 + Numbers + Numbers + false + b14d6bac-1c0b-4330-b6ec-6e130a31f993 + 1 + + + + + + 4410 + 21127 + 50 + 20 + + + 4436.5 + 21137 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + eacf04ff-b544-4d60-8ba5-7fad0ba7b1ef + Input + Input + true + 4ae1fad1-a8cd-410a-bc5c-da70ee1ed3f3 + 1 + + + + + + 4410 + 21147 + 50 + 20 + + + 4436.5 + 21157 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 0830477e-1a1f-441e-ab85-6360eb93565d + Output + Output + true + 4ae1fad1-a8cd-410a-bc5c-da70ee1ed3f3 + 1 + + + + + + 4410 + 21167 + 50 + 20 + + + 4436.5 + 21177 + + + + + + + + 1 + Output Numbers + 660d2fb8-6f70-4754-820f-fbde3aa50d36 + Number + Number + false + 0 + + + + + + 4490 + 21087 + 42 + 100 + + + 4512.5 + 21137 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 4d9514a4-6cbd-4d54-af16-2f88e8f4d1d1 + Stream Filter + Stream Filter + + + + + + 4383 + 20882 + 89 + 64 + + + 4428 + 20914 + + + + + + 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 + cd76acc8-b8c5-4252-b918-5eabb6edded2 + Gate + Gate + false + b122e610-50d0-4981-a71c-d18f46995133 + 1 + + + + + + 4385 + 20884 + 28 + 20 + + + 4400.5 + 20894 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 2ffdeee5-b7dd-49ad-8582-14d033c7eae9 + false + Stream 0 + 0 + true + bd492d30-dca1-4039-b3d0-425a96477167 + 1 + + + + + + 4385 + 20904 + 28 + 20 + + + 4400.5 + 20914 + + + + + + + + 2 + Input stream at index 1 + d7e6a0c6-2276-494c-963e-d741f11ff180 + false + Stream 1 + 1 + true + 660d2fb8-6f70-4754-820f-fbde3aa50d36 + 1 + + + + + + 4385 + 20924 + 28 + 20 + + + 4400.5 + 20934 + + + + + + + + 2 + Filtered stream + 1c8ee915-ea01-475d-abde-9b8ca4ca0fea + false + Stream + S(1) + false + 0 + + + + + + 4443 + 20884 + 27 + 60 + + + 4458 + 20914 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 8d8e45b6-007c-4f16-8238-2801dae68966 + Number Slider + + false + 0 + + + + + + 4360 + 20802 + 150 + 20 + + + 4360.337 + 20802.86 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bd2898b9-73bb-4f3e-ad59-dd7a36b40460 + Panel + + false + 1 + 2153ab13-be79-4db5-9420-92768e8d4d61 + 1 + Double click to edit panel content… + + + + + + 4334 + 21585 + 185 + 271 + + 0 + 0 + 0 + + 4334.407 + 21585.13 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 6fa31a4c-4d12-4c66-a161-dba69c84582b + Bounds + Bounds + + + + + + 4358 + 21529 + 122 + 28 + + + 4422 + 21543 + + + + + + 1 + Numbers to include in Bounds + ed42cd40-1bfa-46e5-8c51-a3c57dd02098 + Numbers + Numbers + false + b14d6bac-1c0b-4330-b6ec-6e130a31f993 + 1 + + + + + + 4360 + 21531 + 47 + 24 + + + 4385 + 21543 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 4ae1fad1-a8cd-410a-bc5c-da70ee1ed3f3 + Domain + Domain + false + 0 + + + + + + 4437 + 21531 + 41 + 24 + + + 4459 + 21543 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 40c4fee9-ed72-44e0-9487-c1b6d27ec5d7 + Expression + Expression + + + + + + 4320 + 21943 + 194 + 28 + + + 4420 + 21957 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4591fe3d-df12-48cf-8991-4ebd23e1ec32 + Variable O + O + true + b14d6bac-1c0b-4330-b6ec-6e130a31f993 + 1 + + + + + + 4322 + 21945 + 14 + 24 + + + 4330.5 + 21957 + + + + + + + + Result of expression + 2153ab13-be79-4db5-9420-92768e8d4d61 + Result + + false + 0 + + + + + + 4503 + 21945 + 9 + 24 + + + 4509 + 21957 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 21e86b7b-3b35-4a89-929c-c6381ca2343c + Expression + Expression + + + + + + 4234 + 22175 + 367 + 28 + + + 4420 + 22189 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 90fa6b89-8772-4146-b311-8207343c62c1 + Variable O + O + true + 4c6f9405-70bf-4366-aebe-2bfeb9080f3d + 1 + + + + + + 4236 + 22177 + 14 + 24 + + + 4244.5 + 22189 + + + + + + + + Result of expression + 6ab62f94-3c0e-4e32-84f7-0cca2724b788 + Result + + false + 0 + + + + + + 4590 + 22177 + 9 + 24 + + + 4596 + 22189 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 0b19f101-19e4-47e9-a4d6-7abdb0a95380 + Panel + + false + 0 + 6ab62f94-3c0e-4e32-84f7-0cca2724b788 + 1 + Double click to edit panel content… + + + + + + 4334 + 22122 + 179 + 20 + + 0 + 0 + 0 + + 4334.546 + 22122 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + 1 + 0bb08cee-3279-44b7-bfd8-62b20eb39978 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 0db85545-2abc-408a-a205-3415624eb0b5 + Scale + Scale + + + + + + 4340 + 18317 + 154 + 64 + + + 4424 + 18349 + + + + + + Base geometry + f2516cb6-5b36-4ba6-87ce-51060c162060 + Geometry + Geometry + true + 9d5c8bd8-8469-41e2-a537-e174f9e35067 + 1 + + + + + + 4342 + 18319 + 67 + 20 + + + 4385 + 18329 + + + + + + + + Center of scaling + a60df7ee-99c0-46d3-8006-e26370ce3b50 + Center + Center + false + 0 + + + + + + 4342 + 18339 + 67 + 20 + + + 4385 + 18349 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 66deabc1-95f1-4c7f-8e9a-2f9a3bfc06ba + 1/X + Factor + Factor + false + 04819f51-3ef5-4f05-a1c1-e17b9546ed74 + 1 + + + + + + 4342 + 18359 + 67 + 20 + + + 4385 + 18369 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + bc389dea-b0db-4f2e-ba2d-93a1aa54799e + Geometry + Geometry + false + 0 + + + + + + 4439 + 18319 + 53 + 30 + + + 4467 + 18334 + + + + + + + + Transformation data + 02e447cf-54a1-4a63-b47c-b8ec1be0b97c + Transform + Transform + false + 0 + + + + + + 4439 + 18349 + 53 + 30 + + + 4467 + 18364 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 679891f5-4c19-4bdd-9087-054e9a29e795 + Point + Point + false + bc389dea-b0db-4f2e-ba2d-93a1aa54799e + 1 + + + + + + 4398 + 18286 + 50 + 24 + + + 4423.696 + 18298.52 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 66da5c64-2186-4036-af21-cc53ca0c7db4 + Mirror + Mirror + + + + + + 4345 + 17517 + 138 + 44 + + + 4413 + 17539 + + + + + + Base geometry + 1334df70-14a0-46d0-b8d4-e7d136d27641 + Geometry + Geometry + true + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + 1 + + + + + + 4347 + 17519 + 51 + 20 + + + 4374 + 17529 + + + + + + + + Mirror plane + cf272ea5-c7c7-47a9-8bc4-6f97adc7f127 + Plane + Plane + false + 0 + + + + + + 4347 + 17539 + 51 + 20 + + + 4374 + 17549 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 6feb001d-7a3e-44f2-a90e-d71df80aee16 + Geometry + Geometry + false + 0 + + + + + + 4428 + 17519 + 53 + 20 + + + 4456 + 17529 + + + + + + + + Transformation data + 75aee8e3-9ec3-4f78-be86-c0c281460dfb + Transform + Transform + false + 0 + + + + + + 4428 + 17539 + 53 + 20 + + + 4456 + 17549 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 8ad9374d-afcb-4796-84e7-8728425be2be + Curve + Curve + false + e7b08dab-5320-4d9e-8637-2e540e26033c + 1 + + + + + + 4397 + 17417 + 50 + 24 + + + 4422.946 + 17429.52 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 50ca04a9-32b7-4eb5-a363-9fa2561e1ef6 + Relay + + false + 53eb6504-a5e5-4e41-b7ea-9590066ead96 + 1 + + + + + + 4397 + 21461 + 40 + 16 + + + 4417 + 21469 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d4fb6675-704d-4dcb-baf8-4ffc6775329f + Curve + Curve + false + dffd15f8-5a2e-49d6-b7c5-dbccad851142 + 1 + + + + + + 3946 + 21844 + 50 + 24 + + + 3971.742 + 21856.46 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 53eb6504-a5e5-4e41-b7ea-9590066ead96 + Curve + Curve + false + 27f46d9d-3746-4c59-b237-9b1e7884c5c4 + 1 + + + + + + 3946 + 21562 + 50 + 24 + + + 3971.843 + 21574.79 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + e549f540-40ea-4cdd-a497-b3459a2e7f20 + Scale + Scale + + + + + + 3888 + 21594 + 154 + 64 + + + 3972 + 21626 + + + + + + Base geometry + 45ae7fff-51a7-45f4-aa83-475d9e681975 + Geometry + Geometry + true + d4fb6675-704d-4dcb-baf8-4ffc6775329f + 1 + + + + + + 3890 + 21596 + 67 + 20 + + + 3933 + 21606 + + + + + + + + Center of scaling + c385f527-6f52-46a4-94c7-37deaf578949 + Center + Center + false + 0 + + + + + + 3890 + 21616 + 67 + 20 + + + 3933 + 21626 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 7937a93f-7dcd-4f53-89a0-6c388d42c2f4 + 2^X + Factor + Factor + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 3890 + 21636 + 67 + 20 + + + 3933 + 21646 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 27f46d9d-3746-4c59-b237-9b1e7884c5c4 + Geometry + Geometry + false + 0 + + + + + + 3987 + 21596 + 53 + 30 + + + 4015 + 21611 + + + + + + + + Transformation data + 2a3d402c-e839-4663-a1b6-4ede7a4f2f7e + Transform + Transform + false + 0 + + + + + + 3987 + 21626 + 53 + 30 + + + 4015 + 21641 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d4fb6675-704d-4dcb-baf8-4ffc6775329f + 53eb6504-a5e5-4e41-b7ea-9590066ead96 + e549f540-40ea-4cdd-a497-b3459a2e7f20 + 27899f96-8899-44d3-a06c-50d23c4c5623 + cac810ab-41b2-4af2-aa25-4ad3cb752d7f + a18d0199-e56c-4b2e-b65e-b21bd75e936d + 0bc0a15b-7cb7-4bd5-9716-06b6d3f8e53c + 06e47af2-bee0-41e5-8c70-f2ada704afe3 + 187609a9-6152-4b0e-a953-efc45d58277b + a70553ad-edd5-4332-bbf9-dd3780725459 + 10 + 9704f814-34a4-47eb-ad71-18bb3f4c4f84 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 3f13fe4e-bf76-447f-8707-32c517a7b1a2 + Move + Move + + + + + + 4345 + 17453 + 138 + 44 + + + 4413 + 17475 + + + + + + Base geometry + cae1338b-7594-4178-902a-801425a843a1 + Geometry + Geometry + true + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + 1 + + + + + + 4347 + 17455 + 51 + 20 + + + 4374 + 17465 + + + + + + + + Translation vector + 01be6c91-b0cb-4f0c-bee0-0df48307b1b0 + Motion + Motion + false + 242f436c-d653-473d-8784-64dcc7e82383 + 1 + + + + + + 4347 + 17475 + 51 + 20 + + + 4374 + 17485 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 3 + 0 + + + + + + + + + + + + Translated geometry + e7b08dab-5320-4d9e-8637-2e540e26033c + Geometry + Geometry + false + 0 + + + + + + 4428 + 17455 + 53 + 20 + + + 4456 + 17465 + + + + + + + + Transformation data + cad668eb-d811-4583-9804-55cf4c398045 + Transform + Transform + false + 0 + + + + + + 4428 + 17475 + 53 + 20 + + + 4456 + 17485 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + cac810ab-41b2-4af2-aa25-4ad3cb752d7f + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 30.9312132004 + + + + + + 3847 + 21787 + 250 + 20 + + + 3847.142 + 21787.88 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a18d0199-e56c-4b2e-b65e-b21bd75e936d + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 3904 + 21687 + 144 + 20 + + 0 + 0 + 0 + + 3904.302 + 21687.5 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 0bc0a15b-7cb7-4bd5-9716-06b6d3f8e53c + Curve + Curve + false + 0 + + + + + + 3946 + 21519 + 50 + 24 + + + 3971.843 + 21531.79 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 06e47af2-bee0-41e5-8c70-f2ada704afe3 + Curve + Curve + false + 0 + + + + + + 3948 + 21976 + 50 + 24 + + + 3973.793 + 21988.63 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 597def04-13b6-4274-af8d-c0420b46bc88 + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 4204 + 22369 + 439 + 20 + + 0 + 0 + 0 + + 4204.927 + 22369.46 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 81a98e07-4b63-48be-8978-65191de8d614 + Panel + + false + 0 + c3885442-f319-4a9e-a76e-2d260013cca6 + 1 + 0.00032220000 +0.00000220000 + + + + + + 4205 + 22493 + 439 + 22 + + 0 + 0 + 0 + + 4205.237 + 22493.41 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 381ea5b7-81d9-4ad1-ba1b-48c7df275998 + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 4297 + 22634 + 251 + 20 + + + 4297.837 + 22634.82 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + a446bb6f-d943-45cd-9e46-1d4b429828c1 + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 4205 + 22614 + 439 + 20 + + 0 + 0 + 0 + + 4205.677 + 22614.98 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + d478f100-725b-4409-a7b6-375d5771f6d1 + Point + Point + false + fe323d14-26b4-40ee-b6c3-d29c50862bda + 1 + + + + + + 4420 + 20268 + 50 + 24 + + + 4445.657 + 20280.54 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fe323d14-26b4-40ee-b6c3-d29c50862bda + Relay + + false + 51d8b6ea-0964-4fcf-99d0-55c92d4e3230 + 1 + + + + + + 4421 + 20313 + 40 + 16 + + + 4441 + 20321 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 9d5c8bd8-8469-41e2-a537-e174f9e35067 + Relay + + false + 14a86aca-9611-48d7-86ab-d2b6d1cfbaf6 + 1 + + + + + + 4421 + 20090 + 40 + 16 + + + 4441 + 20098 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + a41828e4-8b7d-4583-8576-6498debc414a + Scale + Scale + + + + + + 4364 + 20126 + 154 + 64 + + + 4448 + 20158 + + + + + + Base geometry + 856af0c5-6153-415d-82c8-c010034641c1 + Geometry + Geometry + true + d478f100-725b-4409-a7b6-375d5771f6d1 + 1 + + + + + + 4366 + 20128 + 67 + 20 + + + 4409 + 20138 + + + + + + + + Center of scaling + ab950bf5-d868-4f6f-8c6c-da4f7062a957 + Center + Center + false + 0 + + + + + + 4366 + 20148 + 67 + 20 + + + 4409 + 20158 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 39c12bf7-7239-4251-b8b1-c42b96f5f6dd + 2^X + Factor + Factor + false + 93600863-543e-4c15-8ca0-9aa3a4c41133 + 1 + + + + + + 4366 + 20168 + 67 + 20 + + + 4409 + 20178 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 14a86aca-9611-48d7-86ab-d2b6d1cfbaf6 + Geometry + Geometry + false + 0 + + + + + + 4463 + 20128 + 53 + 30 + + + 4491 + 20143 + + + + + + + + Transformation data + ea200ac9-6178-409b-800b-9443ea669567 + Transform + Transform + false + 0 + + + + + + 4463 + 20158 + 53 + 30 + + + 4491 + 20173 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 93600863-543e-4c15-8ca0-9aa3a4c41133 + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 4325 + 20212 + 250 + 20 + + + 4325.436 + 20212.9 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d478f100-725b-4409-a7b6-375d5771f6d1 + 1 + 65772831-622c-45f0-8b74-27794372ba84 + Group + Point + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + c3885442-f319-4a9e-a76e-2d260013cca6 + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.02196259374 + + + + + + 4297 + 22535 + 251 + 20 + + + 4297.337 + 22535.13 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + a70553ad-edd5-4332-bbf9-dd3780725459 + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 3847 + 21743 + 250 + 20 + + + 3847.29 + 21743.09 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 3311fde3-9c8c-4c18-b745-432105d58c63 + Vector XYZ + Vector XYZ + + + + + + 4344 + 17590 + 139 + 64 + + + 4429 + 17622 + + + + + + Vector {x} component + e306c6df-fd8d-4c22-9e3c-ba49fb3154d9 + X component + X component + false + 0 + + + + + + 4346 + 17592 + 68 + 20 + + + 4381.5 + 17602 + + + + + + 1 + + + + + 1 + {0} + + + + + 2.5 + + + + + + + + + + + Vector {y} component + e57d3f72-e592-4a27-8b75-be7be7d188fe + Y component + Y component + false + 0 + + + + + + 4346 + 17612 + 68 + 20 + + + 4381.5 + 17622 + + + + + + 1 + + + + + 1 + {0} + + + + + 4 + + + + + + + + + + + Vector {z} component + 229d9a01-7702-4431-a27e-88aeaa39dbc6 + Z component + Z component + false + 0 + + + + + + 4346 + 17632 + 68 + 20 + + + 4381.5 + 17642 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + 242f436c-d653-473d-8784-64dcc7e82383 + Vector + Vector + false + 0 + + + + + + 4444 + 17592 + 37 + 30 + + + 4464 + 17607 + + + + + + + + Vector length + bd255dca-a63c-4337-967c-fb5f8c2bc898 + Length + Length + false + 0 + + + + + + 4444 + 17622 + 37 + 30 + + + 4464 + 17637 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 187609a9-6152-4b0e-a953-efc45d58277b + Stream Filter + Stream Filter + + + + + + 3927 + 21887 + 89 + 64 + + + 3972 + 21919 + + + + + + 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 + 1e3699a0-0e56-4e71-ae0f-701cf76d90df + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 3929 + 21889 + 28 + 20 + + + 3944.5 + 21899 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 6062bcea-f329-4945-be65-cda5e7c6e041 + false + Stream 0 + 0 + true + 63605c91-1a92-45da-9fec-1773e7cb4a87 + 1 + + + + + + 3929 + 21909 + 28 + 20 + + + 3944.5 + 21919 + + + + + + + + 2 + Input stream at index 1 + f31d7668-9af5-4816-9e34-2e1f00f731fe + false + Stream 1 + 1 + true + 92872ee8-e7ec-4b2a-b425-fe4d823e6b35 + 1 + + + + + + 3929 + 21929 + 28 + 20 + + + 3944.5 + 21939 + + + + + + + + 2 + Filtered stream + dffd15f8-5a2e-49d6-b7c5-dbccad851142 + false + Stream + S(1) + false + 0 + + + + + + 3987 + 21889 + 27 + 60 + + + 4002 + 21919 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b122e610-50d0-4981-a71c-d18f46995133 + Relay + + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 4397 + 20859 + 40 + 16 + + + 4417 + 20867 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 707cf740-02e9-4c63-8e3b-3db59c713c92 + a443a10c-cbaf-498b-a1e4-e539f45fe4fe + 8cb6586a-a146-45f7-b630-5c0b4f08febe + 6e9d3bc2-d3f1-44b3-993f-98f642a4acb6 + 599c60ab-44a9-4f44-970e-fc9c25ddd6e4 + 572e5b45-03cb-4ab7-ab9e-78dc75221447 + 6 + 877f24f5-6e93-4d5d-b5ac-3127be5f934e + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5149bfdc-bc6c-4002-a51d-9e0cb422878d + 6d3d60fa-876b-4e10-8b2b-599a9851cc29 + 1602a2d3-5c89-4234-9c81-ad819a0c2965 + 76b834e5-b41e-47e2-a1e2-5729ad631396 + 2a15a24d-33c6-4098-a594-3baf3658e281 + ed8877d0-a7bc-4244-bde8-989946c86c69 + 071a9171-9778-4faa-bf43-d6c3c2346f52 + cf07a7b7-0678-46af-b932-176e5a129a8e + 9bef6001-cd5c-4a87-86ca-d60ce0c8636d + 250166c2-181d-43f7-84d6-b431aeca7a29 + e8b5e115-8323-4ee9-86ab-acff863fc299 + dd0694b8-75ec-4cda-8bbb-4fb3895eacf0 + 10072ca4-1b88-402e-9519-4eb0075b3552 + ff61e05d-8499-42ec-88b0-655a6e7c02a5 + c224342c-801f-4459-9224-44879ddf539f + 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 + 9b0f3220-f524-4597-8004-73158c7fe09e + e2aa490f-5efe-4d5f-ae12-c6bea9692948 + 743cfa93-b14b-46d1-a2a2-404b0f0db21f + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 + 340eb253-1064-4693-a3de-5ffee5477fce + ac26602c-e82c-4bef-9524-454b72863af1 + f11ea47f-2a3f-487e-8d64-d49319b4ef03 + 2f644ecf-a9a9-4c3e-a587-89788beee78a + 7b8954c2-fa1f-4d7d-9348-0ac962ebb8d6 + 1a4d4b49-cdcb-401f-bab1-69d3c0e7709b + 1418861d-2e73-4275-8864-69218f9321f8 + 5ae7df34-6f59-4159-bf33-ff881937aaad + 2c0308e1-28bc-4c67-be3c-9b72627be6f1 + d7d9e988-3dfc-417d-97a3-4c58e3d2f7a5 + 2ef4538c-fc81-4634-8f8a-fec6097d3e04 + fe5a739c-c046-49a7-a451-c8e3f50b7946 + aaef31bd-73c8-416a-855d-34135f2666f7 + 31dbc3e1-b3f2-4620-bbd4-0d38954f90ba + fea4f0c2-1987-4792-a0be-9d1d82221862 + 7090ecc1-3531-4766-ac7c-8e9cef149444 + ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 + 1cf97464-a3ba-483d-aacd-1defeb8b996d + 037e692a-0274-48f5-9028-92e8dd01ecf9 + cf7d8f9e-103e-4278-9f94-cc9dc6040910 + 3c0320ca-76da-4a43-9f92-f5a24feaa3e8 + c15d0439-8785-451e-b33a-6060a8c82673 + d546a55d-2bc1-491a-a8e8-69a9ad7144ab + 9e0146c9-9465-464a-8c71-4c227b37e74b + c058f429-bb56-407b-8e90-66ad866517fe + 66ca720b-a535-4a17-9de8-eb1cb4ce99db + b81bdd29-15f2-48a9-a4f7-c1c02f788be1 + 27b5a25c-74ec-428b-a6e2-d679e706dae5 + e0ef5a92-0696-4a92-a1ff-b31e6ffc2105 + 009f818e-acd6-4a86-a0ba-7e464cb6d83e + 3f1947f1-3f92-4e10-b16a-63d868183413 + 2464e3ca-4c50-4e2b-a0b0-c68dbb7273fa + ae24fa51-d8c0-4afe-b40c-6e828df05168 + 4b84a47d-8707-4785-9e1f-8ecac64bab68 + b0aaa12f-bb5e-4257-afa2-7f461529d19d + b91be93c-2fa3-48dd-b1a3-b2e69034d78d + ad8fd811-5c9a-46f2-9fb7-8c44f5b74452 + fd69c204-0c56-441a-9cfb-4ac882600323 + 92e72eb1-7b34-42e4-a86f-53dfdd6ea022 + 8b88901b-aaba-44b8-81de-4fed9c5db99a + 8d5e42f0-3482-4f51-9626-68ebbefdbab9 + ee53f26e-b430-492a-a353-5d2c5665ee75 + 84ed4f5c-c495-4632-ab02-2d04a961e45f + 1cbb6b9c-ea74-47e7-9bc8-21aaf33383af + 5dd735ad-8c4e-4457-bd38-e14eee0646bf + 618a62fc-c364-493f-afdf-61708b13caf2 + 388543c4-041b-413c-9cc4-ed5a5ff34151 + 82348a3c-9eea-4fc0-9a5b-cb872f5abbc5 + a2fcf294-58d9-4486-bfa1-a9a3a8aa8dff + e2e195fd-49d3-456b-92fb-68c4f2184a19 + dfbd4830-30d1-4236-9600-fc514fa8836c + 77ee56bf-42ea-4de5-a9e1-55394398403b + 1a33f23c-ee59-41be-9968-ab9ba5ed2344 + 9daec4e9-6644-4eb9-a65b-8b9266447b5b + 5ab81b8c-dd2e-4b73-8d51-75bf39f3397d + dbdc7d7c-dfd1-447c-8b12-a2be4e23352d + 0d8169a8-cfe0-468d-a1be-f07fa24df9d8 + 76ca0f6d-8ba8-4ef0-8775-01969890a3b5 + c6c2efe1-f8cf-4896-bb6e-d683a17f3b5b + bfd16498-8d15-4c7a-8272-1642d47087b4 + 992f34c0-9384-4928-b69f-b6f1ae913f03 + a9c820c4-d23b-4376-8473-a53dcbb1a46c + a6af5b65-d9e5-4705-b850-f1e26fdaf68a + 57ee3ef1-7767-42d5-bc6f-455d29571ca3 + 85 + e77bc439-5ced-42b8-a694-b9a62bfcb688 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6d3d60fa-876b-4e10-8b2b-599a9851cc29 + 1602a2d3-5c89-4234-9c81-ad819a0c2965 + 76b834e5-b41e-47e2-a1e2-5729ad631396 + 2a15a24d-33c6-4098-a594-3baf3658e281 + ed8877d0-a7bc-4244-bde8-989946c86c69 + 071a9171-9778-4faa-bf43-d6c3c2346f52 + cf07a7b7-0678-46af-b932-176e5a129a8e + 9bef6001-cd5c-4a87-86ca-d60ce0c8636d + 250166c2-181d-43f7-84d6-b431aeca7a29 + e8b5e115-8323-4ee9-86ab-acff863fc299 + dd0694b8-75ec-4cda-8bbb-4fb3895eacf0 + 10072ca4-1b88-402e-9519-4eb0075b3552 + ff61e05d-8499-42ec-88b0-655a6e7c02a5 + c224342c-801f-4459-9224-44879ddf539f + 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 + 9b0f3220-f524-4597-8004-73158c7fe09e + e2aa490f-5efe-4d5f-ae12-c6bea9692948 + 743cfa93-b14b-46d1-a2a2-404b0f0db21f + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 + 340eb253-1064-4693-a3de-5ffee5477fce + ac26602c-e82c-4bef-9524-454b72863af1 + f11ea47f-2a3f-487e-8d64-d49319b4ef03 + 2f644ecf-a9a9-4c3e-a587-89788beee78a + 7b8954c2-fa1f-4d7d-9348-0ac962ebb8d6 + 1a4d4b49-cdcb-401f-bab1-69d3c0e7709b + 1418861d-2e73-4275-8864-69218f9321f8 + 5ae7df34-6f59-4159-bf33-ff881937aaad + 2c0308e1-28bc-4c67-be3c-9b72627be6f1 + d7d9e988-3dfc-417d-97a3-4c58e3d2f7a5 + 2ef4538c-fc81-4634-8f8a-fec6097d3e04 + fe5a739c-c046-49a7-a451-c8e3f50b7946 + aaef31bd-73c8-416a-855d-34135f2666f7 + 31dbc3e1-b3f2-4620-bbd4-0d38954f90ba + fea4f0c2-1987-4792-a0be-9d1d82221862 + 7090ecc1-3531-4766-ac7c-8e9cef149444 + ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 + 1cf97464-a3ba-483d-aacd-1defeb8b996d + 037e692a-0274-48f5-9028-92e8dd01ecf9 + cf7d8f9e-103e-4278-9f94-cc9dc6040910 + 3c0320ca-76da-4a43-9f92-f5a24feaa3e8 + c15d0439-8785-451e-b33a-6060a8c82673 + d546a55d-2bc1-491a-a8e8-69a9ad7144ab + 9e0146c9-9465-464a-8c71-4c227b37e74b + c058f429-bb56-407b-8e90-66ad866517fe + 66ca720b-a535-4a17-9de8-eb1cb4ce99db + b81bdd29-15f2-48a9-a4f7-c1c02f788be1 + 27b5a25c-74ec-428b-a6e2-d679e706dae5 + e0ef5a92-0696-4a92-a1ff-b31e6ffc2105 + 009f818e-acd6-4a86-a0ba-7e464cb6d83e + 3f1947f1-3f92-4e10-b16a-63d868183413 + 2464e3ca-4c50-4e2b-a0b0-c68dbb7273fa + ae24fa51-d8c0-4afe-b40c-6e828df05168 + 4b84a47d-8707-4785-9e1f-8ecac64bab68 + b0aaa12f-bb5e-4257-afa2-7f461529d19d + b91be93c-2fa3-48dd-b1a3-b2e69034d78d + ad8fd811-5c9a-46f2-9fb7-8c44f5b74452 + fd69c204-0c56-441a-9cfb-4ac882600323 + 92e72eb1-7b34-42e4-a86f-53dfdd6ea022 + 8b88901b-aaba-44b8-81de-4fed9c5db99a + 8d5e42f0-3482-4f51-9626-68ebbefdbab9 + ee53f26e-b430-492a-a353-5d2c5665ee75 + 84ed4f5c-c495-4632-ab02-2d04a961e45f + 1cbb6b9c-ea74-47e7-9bc8-21aaf33383af + 5dd735ad-8c4e-4457-bd38-e14eee0646bf + 618a62fc-c364-493f-afdf-61708b13caf2 + 388543c4-041b-413c-9cc4-ed5a5ff34151 + 82348a3c-9eea-4fc0-9a5b-cb872f5abbc5 + a2fcf294-58d9-4486-bfa1-a9a3a8aa8dff + e2e195fd-49d3-456b-92fb-68c4f2184a19 + dfbd4830-30d1-4236-9600-fc514fa8836c + 77ee56bf-42ea-4de5-a9e1-55394398403b + 1a33f23c-ee59-41be-9968-ab9ba5ed2344 + 9daec4e9-6644-4eb9-a65b-8b9266447b5b + 5ab81b8c-dd2e-4b73-8d51-75bf39f3397d + dbdc7d7c-dfd1-447c-8b12-a2be4e23352d + 0d8169a8-cfe0-468d-a1be-f07fa24df9d8 + 76ca0f6d-8ba8-4ef0-8775-01969890a3b5 + c6c2efe1-f8cf-4896-bb6e-d683a17f3b5b + 79 + 5149bfdc-bc6c-4002-a51d-9e0cb422878d + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0d8169a8-cfe0-468d-a1be-f07fa24df9d8 + 1 + 6d3d60fa-876b-4e10-8b2b-599a9851cc29 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 76b834e5-b41e-47e2-a1e2-5729ad631396 + 1 + 1602a2d3-5c89-4234-9c81-ad819a0c2965 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 2a15a24d-33c6-4098-a594-3baf3658e281 + 1 + 76b834e5-b41e-47e2-a1e2-5729ad631396 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ed8877d0-a7bc-4244-bde8-989946c86c69 + 1 + 2a15a24d-33c6-4098-a594-3baf3658e281 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 071a9171-9778-4faa-bf43-d6c3c2346f52 + 1 + ed8877d0-a7bc-4244-bde8-989946c86c69 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + cf07a7b7-0678-46af-b932-176e5a129a8e + 1 + 071a9171-9778-4faa-bf43-d6c3c2346f52 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 250166c2-181d-43f7-84d6-b431aeca7a29 + 1 + cf07a7b7-0678-46af-b932-176e5a129a8e + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9bef6001-cd5c-4a87-86ca-d60ce0c8636d + true + Curve + Curve + false + 0 + + + + + + 5914 + 21498 + 50 + 24 + + + 5939.49 + 21510.85 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 9bef6001-cd5c-4a87-86ca-d60ce0c8636d + 1 + 250166c2-181d-43f7-84d6-b431aeca7a29 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2c0308e1-28bc-4c67-be3c-9b72627be6f1 + 1 + e8b5e115-8323-4ee9-86ab-acff863fc299 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 10072ca4-1b88-402e-9519-4eb0075b3552 + ff61e05d-8499-42ec-88b0-655a6e7c02a5 + c224342c-801f-4459-9224-44879ddf539f + 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 + 9b0f3220-f524-4597-8004-73158c7fe09e + e2aa490f-5efe-4d5f-ae12-c6bea9692948 + 743cfa93-b14b-46d1-a2a2-404b0f0db21f + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 340eb253-1064-4693-a3de-5ffee5477fce + 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 + e8b5e115-8323-4ee9-86ab-acff863fc299 + 250166c2-181d-43f7-84d6-b431aeca7a29 + 618a62fc-c364-493f-afdf-61708b13caf2 + 388543c4-041b-413c-9cc4-ed5a5ff34151 + 82348a3c-9eea-4fc0-9a5b-cb872f5abbc5 + a2fcf294-58d9-4486-bfa1-a9a3a8aa8dff + e2e195fd-49d3-456b-92fb-68c4f2184a19 + dfbd4830-30d1-4236-9600-fc514fa8836c + 84ed4f5c-c495-4632-ab02-2d04a961e45f + 1cbb6b9c-ea74-47e7-9bc8-21aaf33383af + 20 + dd0694b8-75ec-4cda-8bbb-4fb3895eacf0 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 10072ca4-1b88-402e-9519-4eb0075b3552 + true + Duplicate Data + Duplicate Data + + + + + + 5887 + 22660 + 104 + 64 + + + 5946 + 22692 + + + + + + 1 + Data to duplicate + fb19da30-e146-4740-a7c2-6b7c4d922e65 + true + Data + Data + false + 8dbea2e7-8016-4f48-a111-3632d6f14e6e + 1 + + + + + + 5889 + 22662 + 42 + 20 + + + 5911.5 + 22672 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 7aa09ab9-610b-4b1b-83f1-5d8a488e0c6e + true + Number + Number + false + 5dd735ad-8c4e-4457-bd38-e14eee0646bf + 1 + + + + + + 5889 + 22682 + 42 + 20 + + + 5911.5 + 22692 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 4811e957-53a0-4847-b803-f4f5161085cf + true + Order + Order + false + 0 + + + + + + 5889 + 22702 + 42 + 20 + + + 5911.5 + 22712 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + ea12780c-201c-472a-bbf0-053f94cd1092 + true + Data + Data + false + 0 + + + + + + 5961 + 22662 + 28 + 60 + + + 5976.5 + 22692 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + ff61e05d-8499-42ec-88b0-655a6e7c02a5 + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 5873 + 20732 + 116 + 44 + + + 5934 + 20754 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 41c0b509-5d0b-4d35-a470-b1f1b8ab9ea0 + true + Forward + Forward + true + 1 + true + ea12780c-201c-472a-bbf0-053f94cd1092 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 5875 + 20734 + 44 + 20 + + + 5898.5 + 20744 + + + + + + + + 1 + false + Script Variable Left + 5a9c0544-ef18-4386-bafe-8b5f0cc05d61 + true + Left + Left + true + 1 + true + 565bff87-c1f3-423f-ab95-05c38319cd6c + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 5875 + 20754 + 44 + 20 + + + 5898.5 + 20764 + + + + + + + + Print, Reflect and Error streams + 383e0da6-9dca-4247-b671-a36bf30befdc + true + Output + Output + false + 0 + + + + + + 5949 + 20734 + 38 + 20 + + + 5969.5 + 20744 + + + + + + + + Output parameter Points + 161c150e-386f-40f3-875a-4b3bb95765a2 + true + Points + Points + false + 0 + + + + + + 5949 + 20754 + 38 + 20 + + + 5969.5 + 20764 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 + true + Series + Series + + + + + + 5884 + 21989 + 101 + 64 + + + 5934 + 22021 + + + + + + First number in the series + 7860ca71-d430-444a-b399-bb5d98b69a01 + true + Start + Start + false + 0 + + + + + + 5886 + 21991 + 33 + 20 + + + 5904 + 22001 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + eed548b6-b3a2-4f26-bbe4-2a7f2f918f2f + true + Step + Step + false + dbdc7d7c-dfd1-447c-8b12-a2be4e23352d + 1 + + + + + + 5886 + 22011 + 33 + 20 + + + 5904 + 22021 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 0b0c74f9-ecbb-47a0-9905-311b6d5f066c + true + Count + Count + false + 5dd735ad-8c4e-4457-bd38-e14eee0646bf + 1 + + + + + + 5886 + 22031 + 33 + 20 + + + 5904 + 22041 + + + + + + + + 1 + Series of numbers + e036b819-f3fa-49f8-bdc3-6d85e6bc4725 + true + Series + Series + false + 0 + + + + + + 5949 + 21991 + 34 + 60 + + + 5967.5 + 22021 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 9b0f3220-f524-4597-8004-73158c7fe09e + true + Number Slider + + false + 0 + + + + + + 5881 + 22886 + 150 + 20 + + + 5881.009 + 22886.01 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + e2aa490f-5efe-4d5f-ae12-c6bea9692948 + true + Radians + Radians + + + + + + 5834 + 22231 + 120 + 28 + + + 5895 + 22245 + + + + + + Angle in degrees + 8b0606a6-f486-491f-80ef-06b47d1f9a2d + true + Degrees + Degrees + false + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 1 + + + + + + 5836 + 22233 + 44 + 24 + + + 5859.5 + 22245 + + + + + + + + Angle in radians + c51817d3-3489-4bdf-baca-363dd1128013 + true + Radians + Radians + false + 0 + + + + + + 5910 + 22233 + 42 + 24 + + + 5932.5 + 22245 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 743cfa93-b14b-46d1-a2a2-404b0f0db21f + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 5812 + 22597 + 251 + 20 + + + 5812.381 + 22597.69 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 + true + Interpolate (t) + Interpolate (t) + + + + + + 5859 + 19967 + 144 + 84 + + + 5945 + 20009 + + + + + + 1 + Interpolation points + e5ebfcff-c93c-4298-8e26-a0568a88702f + true + Vertices + Vertices + false + 8cb6586a-a146-45f7-b630-5c0b4f08febe + 1 + + + + + + 5861 + 19969 + 69 + 20 + + + 5897 + 19979 + + + + + + + + Tangent at start of curve + 7967903d-9571-4a38-925c-b448f256c64d + true + Tangent Start + Tangent Start + false + 0 + + + + + + 5861 + 19989 + 69 + 20 + + + 5897 + 19999 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 9f9f2229-477f-4142-b339-994e535cbe18 + true + Tangent End + Tangent End + false + 0 + + + + + + 5861 + 20009 + 69 + 20 + + + 5897 + 20019 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + fdaf3e1c-31ed-423e-a68b-3a6130502ce1 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 5861 + 20029 + 69 + 20 + + + 5897 + 20039 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 215d6723-c234-40af-90d3-d7c02d4a9b30 + true + Curve + Curve + false + 0 + + + + + + 5960 + 19969 + 41 + 26 + + + 5982 + 19982.33 + + + + + + + + Curve length + e996e374-9cac-4b12-b02b-375aeec6d4a0 + true + Length + Length + false + 0 + + + + + + 5960 + 19995 + 41 + 27 + + + 5982 + 20009 + + + + + + + + Curve domain + 56470385-083d-4abd-9fe3-0da8c97fb9fb + true + Domain + Domain + false + 0 + + + + + + 5960 + 20022 + 41 + 27 + + + 5982 + 20035.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 10072ca4-1b88-402e-9519-4eb0075b3552 + ff61e05d-8499-42ec-88b0-655a6e7c02a5 + c224342c-801f-4459-9224-44879ddf539f + 9e8cc228-1ff8-49c4-9d11-42fc9d92ab08 + 9b0f3220-f524-4597-8004-73158c7fe09e + e2aa490f-5efe-4d5f-ae12-c6bea9692948 + 743cfa93-b14b-46d1-a2a2-404b0f0db21f + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 1a33f23c-ee59-41be-9968-ab9ba5ed2344 + aaef31bd-73c8-416a-855d-34135f2666f7 + ee53f26e-b430-492a-a353-5d2c5665ee75 + 77ee56bf-42ea-4de5-a9e1-55394398403b + 9daec4e9-6644-4eb9-a65b-8b9266447b5b + e89722ea-0b93-47ee-85d5-9f044bdbb649 + 5f7bf1f7-7ac1-4ce8-b2ff-bfe64aea7d55 + 32907c7d-0b14-4a93-8d8b-bcda3fc126b5 + 16 + 340eb253-1064-4693-a3de-5ffee5477fce + Group + + + + + + + + + + + 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 + ac26602c-e82c-4bef-9524-454b72863af1 + true + Evaluate Length + Evaluate Length + + + + + + 5859 + 19799 + 144 + 64 + + + 5933 + 19831 + + + + + + Curve to evaluate + 1ea0fa26-3bc4-4bdc-bcef-305bff45e01e + true + Curve + Curve + false + 215d6723-c234-40af-90d3-d7c02d4a9b30 + 1 + + + + + + 5861 + 19801 + 57 + 20 + + + 5891 + 19811 + + + + + + + + Length factor for curve evaluation + 0ba6df0b-3aad-4dc2-8fbd-0b9b5461f4c4 + true + Length + Length + false + 0 + + + + + + 5861 + 19821 + 57 + 20 + + + 5891 + 19831 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + bc494ee4-2a37-4cf5-9155-aed7e577c0cb + true + Normalized + Normalized + false + 0 + + + + + + 5861 + 19841 + 57 + 20 + + + 5891 + 19851 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + f8421ffc-03f8-457f-be30-396d4a563c11 + true + Point + Point + false + 0 + + + + + + 5948 + 19801 + 53 + 20 + + + 5976 + 19811 + + + + + + + + Tangent vector at the specified length + d4327f97-d104-49b5-a665-14febf21d1cb + true + Tangent + Tangent + false + 0 + + + + + + 5948 + 19821 + 53 + 20 + + + 5976 + 19831 + + + + + + + + Curve parameter at the specified length + bd37eac4-2fdc-4a37-8c90-9fc89c360537 + true + Parameter + Parameter + false + 0 + + + + + + 5948 + 19841 + 53 + 20 + + + 5976 + 19851 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + f11ea47f-2a3f-487e-8d64-d49319b4ef03 + true + Mirror + Mirror + + + + + + 5862 + 19737 + 138 + 44 + + + 5930 + 19759 + + + + + + Base geometry + 0b0e267f-50c2-46e3-a547-e213de0040ee + true + Geometry + Geometry + true + 215d6723-c234-40af-90d3-d7c02d4a9b30 + 1 + + + + + + 5864 + 19739 + 51 + 20 + + + 5891 + 19749 + + + + + + + + Mirror plane + 182f41c6-3900-4b33-8426-d59b645241ba + true + Plane + Plane + false + f3ab1c49-edf7-4c0e-bbb8-ebbafb2fca87 + 1 + + + + + + 5864 + 19759 + 51 + 20 + + + 5891 + 19769 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + ed4f8aba-2319-4a97-9ef9-4db96e350522 + true + Geometry + Geometry + false + 0 + + + + + + 5945 + 19739 + 53 + 20 + + + 5973 + 19749 + + + + + + + + Transformation data + c12c39c1-08b5-4f4a-ab32-47160c6eb15b + true + Transform + Transform + false + 0 + + + + + + 5945 + 19759 + 53 + 20 + + + 5973 + 19769 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 2f644ecf-a9a9-4c3e-a587-89788beee78a + true + Line SDL + Line SDL + + + + + + 5878 + 19883 + 106 + 64 + + + 5942 + 19915 + + + + + + Line start point + 6e2f9f46-f1fe-47fc-9c66-c13d55980f30 + true + Start + Start + false + f8421ffc-03f8-457f-be30-396d4a563c11 + 1 + + + + + + 5880 + 19885 + 47 + 20 + + + 5905 + 19895 + + + + + + + + Line tangent (direction) + 053e29e6-ea1b-419c-8a03-c214a1d318eb + true + Direction + Direction + false + d4327f97-d104-49b5-a665-14febf21d1cb + 1 + + + + + + 5880 + 19905 + 47 + 20 + + + 5905 + 19915 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 75bee7b4-76a2-480b-b13c-fa418683c2fa + true + Length + Length + false + 0 + + + + + + 5880 + 19925 + 47 + 20 + + + 5905 + 19935 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + f3ab1c49-edf7-4c0e-bbb8-ebbafb2fca87 + true + Line + Line + false + 0 + + + + + + 5957 + 19885 + 25 + 60 + + + 5971 + 19915 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 7b8954c2-fa1f-4d7d-9348-0ac962ebb8d6 + true + Join Curves + Join Curves + + + + + + 5872 + 19675 + 118 + 44 + + + 5935 + 19697 + + + + + + 1 + Curves to join + ccdd2b02-99c1-432c-b323-c828feeaaa68 + true + Curves + Curves + false + 215d6723-c234-40af-90d3-d7c02d4a9b30 + ed4f8aba-2319-4a97-9ef9-4db96e350522 + 2 + + + + + + 5874 + 19677 + 46 + 20 + + + 5898.5 + 19687 + + + + + + + + Preserve direction of input curves + d8f01d8d-9387-41db-b68e-b9dbc7655f66 + true + Preserve + Preserve + false + 0 + + + + + + 5874 + 19697 + 46 + 20 + + + 5898.5 + 19707 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 + true + Curves + Curves + false + 0 + + + + + + 5950 + 19677 + 38 + 40 + + + 5970.5 + 19697 + + + + + + + + + + + + 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 + 1a4d4b49-cdcb-401f-bab1-69d3c0e7709b + true + Evaluate Length + Evaluate Length + + + + + + 5859 + 19591 + 144 + 64 + + + 5933 + 19623 + + + + + + Curve to evaluate + e588df7e-9281-460c-8919-b325533ff874 + true + Curve + Curve + false + bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 + 1 + + + + + + 5861 + 19593 + 57 + 20 + + + 5891 + 19603 + + + + + + + + Length factor for curve evaluation + 20baaadf-0381-4733-8c76-d1cafe4b4336 + true + Length + Length + false + 0 + + + + + + 5861 + 19613 + 57 + 20 + + + 5891 + 19623 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 78c5d0e7-dfb4-4a4a-ba97-4237c7cf0a9e + true + Normalized + Normalized + false + 0 + + + + + + 5861 + 19633 + 57 + 20 + + + 5891 + 19643 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 7adddac8-2bcf-442a-ab1b-72f007518d68 + true + Point + Point + false + 0 + + + + + + 5948 + 19593 + 53 + 20 + + + 5976 + 19603 + + + + + + + + Tangent vector at the specified length + 133cc957-03a4-4b91-9155-e967d46f4a53 + true + Tangent + Tangent + false + 0 + + + + + + 5948 + 19613 + 53 + 20 + + + 5976 + 19623 + + + + + + + + Curve parameter at the specified length + f8b074c7-b0d9-411e-a8b4-4bf5621edeb2 + true + Parameter + Parameter + false + 0 + + + + + + 5948 + 19633 + 53 + 20 + + + 5976 + 19643 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 1418861d-2e73-4275-8864-69218f9321f8 + true + Rotate + Rotate + + + + + + 5862 + 19508 + 138 + 64 + + + 5930 + 19540 + + + + + + Base geometry + 3df26992-9941-4ded-80d5-f690cbefee29 + true + Geometry + Geometry + true + bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 + 1 + + + + + + 5864 + 19510 + 51 + 20 + + + 5891 + 19520 + + + + + + + + Rotation angle in radians + 9a6ef232-212c-4129-a4c3-26e13a562d33 + true + Angle + Angle + false + 0 + false + + + + + + 5864 + 19530 + 51 + 20 + + + 5891 + 19540 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 9ea241bf-558a-43c9-a093-87d7d249742b + true + Plane + Plane + false + 7adddac8-2bcf-442a-ab1b-72f007518d68 + 1 + + + + + + 5864 + 19550 + 51 + 20 + + + 5891 + 19560 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + ed83845b-f6de-46a4-a32f-237d297ea3ed + true + Geometry + Geometry + false + 0 + + + + + + 5945 + 19510 + 53 + 30 + + + 5973 + 19525 + + + + + + + + Transformation data + 76c8fecf-1675-4dc2-88aa-47d194544fd2 + true + Transform + Transform + false + 0 + + + + + + 5945 + 19540 + 53 + 30 + + + 5973 + 19555 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 5ae7df34-6f59-4159-bf33-ff881937aaad + true + Join Curves + Join Curves + + + + + + 5872 + 19445 + 118 + 44 + + + 5935 + 19467 + + + + + + 1 + Curves to join + c514cb69-9d5f-48aa-a000-8d16f5c086f1 + true + Curves + Curves + false + bd41d0fe-e0e8-4e3c-b316-50e3d5f1ff48 + ed83845b-f6de-46a4-a32f-237d297ea3ed + 2 + + + + + + 5874 + 19447 + 46 + 20 + + + 5898.5 + 19457 + + + + + + + + Preserve direction of input curves + 2f7143d6-5da4-424f-b4d6-37a01f38da24 + true + Preserve + Preserve + false + 0 + + + + + + 5874 + 19467 + 46 + 20 + + + 5898.5 + 19477 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + d1a174ae-96f5-4751-ae05-dd2514b98bec + true + Curves + Curves + false + 0 + + + + + + 5950 + 19447 + 38 + 40 + + + 5970.5 + 19467 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9ac39d0d-b7d7-4a16-9428-c35cd6e7c8b9 + ac26602c-e82c-4bef-9524-454b72863af1 + f11ea47f-2a3f-487e-8d64-d49319b4ef03 + 2f644ecf-a9a9-4c3e-a587-89788beee78a + 7b8954c2-fa1f-4d7d-9348-0ac962ebb8d6 + 1a4d4b49-cdcb-401f-bab1-69d3c0e7709b + 1418861d-2e73-4275-8864-69218f9321f8 + 5ae7df34-6f59-4159-bf33-ff881937aaad + 2ef4538c-fc81-4634-8f8a-fec6097d3e04 + 707cf740-02e9-4c63-8e3b-3db59c713c92 + a443a10c-cbaf-498b-a1e4-e539f45fe4fe + 8cb6586a-a146-45f7-b630-5c0b4f08febe + 6e9d3bc2-d3f1-44b3-993f-98f642a4acb6 + 572e5b45-03cb-4ab7-ab9e-78dc75221447 + 599c60ab-44a9-4f44-970e-fc9c25ddd6e4 + 15 + 2c0308e1-28bc-4c67-be3c-9b72627be6f1 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d7d9e988-3dfc-417d-97a3-4c58e3d2f7a5 + true + Panel + + false + 0 + d546a55d-2bc1-491a-a8e8-69a9ad7144ab + 1 + Double click to edit panel content… + + + + + + 5865 + 22084 + 145 + 20 + + 0 + 0 + 0 + + 5865.91 + 22084.2 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 2ef4538c-fc81-4634-8f8a-fec6097d3e04 + true + Curve + Curve + false + d1a174ae-96f5-4751-ae05-dd2514b98bec + 1 + + + + + + 5914 + 19411 + 50 + 24 + + + 5939.49 + 19423.76 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 2ef4538c-fc81-4634-8f8a-fec6097d3e04 + 1 + fe5a739c-c046-49a7-a451-c8e3f50b7946 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + aaef31bd-73c8-416a-855d-34135f2666f7 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 5720 + 22320 + 439 + 20 + + 0 + 0 + 0 + + 5720.471 + 22320.88 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 31dbc3e1-b3f2-4620-bbd4-0d38954f90ba + true + Evaluate Length + Evaluate Length + + + + + + 5859 + 19319 + 144 + 64 + + + 5933 + 19351 + + + + + + Curve to evaluate + 017b7074-512c-445c-b9fd-d1c12da25ce5 + true + Curve + Curve + false + d1a174ae-96f5-4751-ae05-dd2514b98bec + 1 + + + + + + 5861 + 19321 + 57 + 20 + + + 5891 + 19331 + + + + + + + + Length factor for curve evaluation + 3cd3a3c2-3846-48fc-ae1f-81d7a2deecd9 + true + Length + Length + false + 0 + + + + + + 5861 + 19341 + 57 + 20 + + + 5891 + 19351 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + fc6b20d6-2388-41ba-bed3-6a2fddbd762c + true + Normalized + Normalized + false + 0 + + + + + + 5861 + 19361 + 57 + 20 + + + 5891 + 19371 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 2000c00d-fa4d-437f-a942-43d585f5570d + true + Point + Point + false + 0 + + + + + + 5948 + 19321 + 53 + 20 + + + 5976 + 19331 + + + + + + + + Tangent vector at the specified length + bd70a4df-143a-4834-919b-f11f2167e570 + true + Tangent + Tangent + false + 0 + + + + + + 5948 + 19341 + 53 + 20 + + + 5976 + 19351 + + + + + + + + Curve parameter at the specified length + 90ef7c74-ca45-486e-bdbf-384f7afc392e + true + Parameter + Parameter + false + 0 + + + + + + 5948 + 19361 + 53 + 20 + + + 5976 + 19371 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + fea4f0c2-1987-4792-a0be-9d1d82221862 + true + Expression + Expression + + + + + + 5834 + 19097 + 194 + 28 + + + 5934 + 19111 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 68cb0590-7e31-4a16-9c10-13eb2931b64a + true + Variable O + O + true + f62c9084-a0c7-4e1e-ab21-230737cf544f + 1 + + + + + + 5836 + 19099 + 14 + 24 + + + 5844.5 + 19111 + + + + + + + + Result of expression + facbb8ab-a37e-476f-8b4f-3c8e6a3c9cea + true + Result + + false + 0 + + + + + + 6017 + 19099 + 9 + 24 + + + 6023 + 19111 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 7090ecc1-3531-4766-ac7c-8e9cef149444 + true + Deconstruct + Deconstruct + + + + + + 5865 + 19231 + 132 + 64 + + + 5912 + 19263 + + + + + + Input point + b879cbc7-6088-4a28-ae15-165a59ef0380 + true + Point + Point + false + 2000c00d-fa4d-437f-a942-43d585f5570d + 1 + + + + + + 5867 + 19233 + 30 + 60 + + + 5883.5 + 19263 + + + + + + + + Point {x} component + f62c9084-a0c7-4e1e-ab21-230737cf544f + true + X component + X component + false + 0 + + + + + + 5927 + 19233 + 68 + 20 + + + 5962.5 + 19243 + + + + + + + + Point {y} component + d1ae140f-fa3d-4384-9da2-de4f36727553 + true + Y component + Y component + false + 0 + + + + + + 5927 + 19253 + 68 + 20 + + + 5962.5 + 19263 + + + + + + + + Point {z} component + 974137a1-7b82-45c5-b52b-6c45ea81670c + true + Z component + Z component + false + 0 + + + + + + 5927 + 19273 + 68 + 20 + + + 5962.5 + 19283 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 + true + Panel + + false + 0 + facbb8ab-a37e-476f-8b4f-3c8e6a3c9cea + 1 + Double click to edit panel content… + + + + + + 5858 + 19077 + 160 + 20 + + 0 + 0 + 0 + + 5858.262 + 19077.34 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1cf97464-a3ba-483d-aacd-1defeb8b996d + true + Expression + Expression + + + + + + 5834 + 19011 + 194 + 28 + + + 5934 + 19025 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d17bf718-c6a2-403e-aa01-ee49e87e9689 + true + Variable O + O + true + d1ae140f-fa3d-4384-9da2-de4f36727553 + 1 + + + + + + 5836 + 19013 + 14 + 24 + + + 5844.5 + 19025 + + + + + + + + Result of expression + 6bfd1e1d-0caf-4d82-a8ec-46ae8e8448f5 + true + Result + + false + 0 + + + + + + 6017 + 19013 + 9 + 24 + + + 6023 + 19025 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 037e692a-0274-48f5-9028-92e8dd01ecf9 + true + Panel + + false + 0 + 6bfd1e1d-0caf-4d82-a8ec-46ae8e8448f5 + 1 + Double click to edit panel content… + + + + + + 5858 + 18988 + 160 + 20 + + 0 + 0 + 0 + + 5858.262 + 18988.91 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + cf7d8f9e-103e-4278-9f94-cc9dc6040910 + true + Division + Division + + + + + + 5890 + 18909 + 82 + 44 + + + 5921 + 18931 + + + + + + Item to divide (dividend) + 5fa4a655-41a0-4b66-ab1f-74ae7d40c047 + true + A + A + false + ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 + 1 + + + + + + 5892 + 18911 + 14 + 20 + + + 5900.5 + 18921 + + + + + + + + Item to divide with (divisor) + 8fbf2033-8129-46df-b9e7-38738ca9f147 + true + B + B + false + 037e692a-0274-48f5-9028-92e8dd01ecf9 + 1 + + + + + + 5892 + 18931 + 14 + 20 + + + 5900.5 + 18941 + + + + + + + + The result of the Division + 17fd6fac-4073-431e-a092-c23ce850f2ae + true + Result + Result + false + 0 + + + + + + 5936 + 18911 + 34 + 40 + + + 5954.5 + 18931 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3c0320ca-76da-4a43-9f92-f5a24feaa3e8 + true + Panel + + false + 0 + d546a55d-2bc1-491a-a8e8-69a9ad7144ab + 1 + Double click to edit panel content… + + + + + + 5858 + 18841 + 160 + 20 + + 0 + 0 + 0 + + 5858.5 + 18841.4 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + c15d0439-8785-451e-b33a-6060a8c82673 + true + Expression + Expression + + + + + + 5834 + 18862 + 194 + 28 + + + 5934 + 18876 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c78c4b76-dfa0-46de-a58d-6b685665b00a + true + Variable O + O + true + 17fd6fac-4073-431e-a092-c23ce850f2ae + 1 + + + + + + 5836 + 18864 + 14 + 24 + + + 5844.5 + 18876 + + + + + + + + Result of expression + c2198a85-46df-4ed2-a0f9-1d59313f2394 + true + Result + + false + 0 + + + + + + 6017 + 18864 + 9 + 24 + + + 6023 + 18876 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d546a55d-2bc1-491a-a8e8-69a9ad7144ab + true + Relay + + false + c2198a85-46df-4ed2-a0f9-1d59313f2394 + 1 + + + + + + 5911 + 18787 + 40 + 16 + + + 5931 + 18795 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 9e0146c9-9465-464a-8c71-4c227b37e74b + true + Addition + Addition + + + + + + 5890 + 18724 + 82 + 44 + + + 5921 + 18746 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + 3be91c3c-bbc0-4b43-9d9d-af482060c3f0 + true + A + A + true + 037e692a-0274-48f5-9028-92e8dd01ecf9 + 1 + + + + + + 5892 + 18726 + 14 + 20 + + + 5900.5 + 18736 + + + + + + + + Second item for addition + ae34d2b7-f589-4d31-a2b2-071a073dd5da + true + B + B + true + ffda0e6f-d8c1-4125-bb4d-7ef56ab60a72 + 1 + + + + + + 5892 + 18746 + 14 + 20 + + + 5900.5 + 18756 + + + + + + + + Result of addition + 0620b709-15fb-448a-9a29-14dffb29450e + true + Result + Result + false + 0 + + + + + + 5936 + 18726 + 34 + 40 + + + 5954.5 + 18746 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + c058f429-bb56-407b-8e90-66ad866517fe + true + Division + Division + + + + + + 5890 + 18574 + 82 + 44 + + + 5921 + 18596 + + + + + + Item to divide (dividend) + 54a16385-0409-4e5a-a467-5b96189d9782 + true + A + A + false + 27b5a25c-74ec-428b-a6e2-d679e706dae5 + 1 + + + + + + 5892 + 18576 + 14 + 20 + + + 5900.5 + 18586 + + + + + + + + Item to divide with (divisor) + 379e914e-8856-49a8-9166-d8574632e259 + true + B + B + false + 0 + + + + + + 5892 + 18596 + 14 + 20 + + + 5900.5 + 18606 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + f97c3e82-8700-4b97-a206-eb4190902091 + true + Result + Result + false + 0 + + + + + + 5936 + 18576 + 34 + 40 + + + 5954.5 + 18596 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 66ca720b-a535-4a17-9de8-eb1cb4ce99db + true + Expression + Expression + + + + + + 5834 + 18526 + 194 + 28 + + + 5934 + 18540 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 47aaedb0-ce00-426d-9a0b-7221bfc03eb7 + true + Variable O + O + true + f97c3e82-8700-4b97-a206-eb4190902091 + 1 + + + + + + 5836 + 18528 + 14 + 24 + + + 5844.5 + 18540 + + + + + + + + Result of expression + c80408c1-ec91-40f8-be07-d0484a71820f + true + Result + + false + 0 + + + + + + 6017 + 18528 + 9 + 24 + + + 6023 + 18540 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b81bdd29-15f2-48a9-a4f7-c1c02f788be1 + true + Panel + + false + 0 + c80408c1-ec91-40f8-be07-d0484a71820f + 1 + Double click to edit panel content… + + + + + + 5858 + 18505 + 160 + 20 + + 0 + 0 + 0 + + 5858.262 + 18505.26 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 27b5a25c-74ec-428b-a6e2-d679e706dae5 + true + Panel + + false + 0 + b9bf7219-694e-4068-8551-f2a66a378342 + 1 + Double click to edit panel content… + + + + + + 5858 + 18657 + 160 + 20 + + 0 + 0 + 0 + + 5858.262 + 18657.17 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e0ef5a92-0696-4a92-a1ff-b31e6ffc2105 + true + Expression + Expression + + + + + + 5834 + 18677 + 194 + 28 + + + 5934 + 18691 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c32e4b6a-971c-448c-aba2-64940b4081ec + true + Variable O + O + true + 0620b709-15fb-448a-9a29-14dffb29450e + 1 + + + + + + 5836 + 18679 + 14 + 24 + + + 5844.5 + 18691 + + + + + + + + Result of expression + b9bf7219-694e-4068-8551-f2a66a378342 + true + Result + + false + 0 + + + + + + 6017 + 18679 + 9 + 24 + + + 6023 + 18691 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 009f818e-acd6-4a86-a0ba-7e464cb6d83e + true + Scale + Scale + + + + + + 5854 + 18403 + 154 + 64 + + + 5938 + 18435 + + + + + + Base geometry + 72f9a58a-9d55-4c18-8317-ebad6b4b76c5 + true + Geometry + Geometry + true + 2ef4538c-fc81-4634-8f8a-fec6097d3e04 + 1 + + + + + + 5856 + 18405 + 67 + 20 + + + 5899 + 18415 + + + + + + + + Center of scaling + d2d9ad33-b7c4-440f-a15b-db1ce6bf96f3 + true + Center + Center + false + 0 + + + + + + 5856 + 18425 + 67 + 20 + + + 5899 + 18435 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 51dba270-8cbb-464c-b4c9-b52036498db9 + 1/X + true + Factor + Factor + false + b81bdd29-15f2-48a9-a4f7-c1c02f788be1 + 1 + + + + + + 5856 + 18445 + 67 + 20 + + + 5899 + 18455 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 184a3679-023f-40c3-b89e-5f6ed06d0ee7 + true + Geometry + Geometry + false + 0 + + + + + + 5953 + 18405 + 53 + 30 + + + 5981 + 18420 + + + + + + + + Transformation data + f39349a6-aeea-4426-a86a-0f0157430c23 + true + Transform + Transform + false + 0 + + + + + + 5953 + 18435 + 53 + 30 + + + 5981 + 18450 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 3f1947f1-3f92-4e10-b16a-63d868183413 + true + Curve + Curve + false + 184a3679-023f-40c3-b89e-5f6ed06d0ee7 + 1 + + + + + + 5912 + 17810 + 50 + 24 + + + 5937.24 + 17822.76 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 2464e3ca-4c50-4e2b-a0b0-c68dbb7273fa + true + Expression + Expression + + + + + + 5834 + 19184 + 194 + 28 + + + 5934 + 19198 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 85958977-75d3-4542-be7e-5fc030196914 + true + Variable O + O + true + 974137a1-7b82-45c5-b52b-6c45ea81670c + 1 + + + + + + 5836 + 19186 + 14 + 24 + + + 5844.5 + 19198 + + + + + + + + Result of expression + fa239440-cb23-4301-8d8d-299436021665 + true + Result + + false + 0 + + + + + + 6017 + 19186 + 9 + 24 + + + 6023 + 19198 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ae24fa51-d8c0-4afe-b40c-6e828df05168 + true + Panel + + false + 0 + fa239440-cb23-4301-8d8d-299436021665 + 1 + Double click to edit panel content… + + + + + + 5859 + 19163 + 160 + 20 + + 0 + 0 + 0 + + 5859.131 + 19163.11 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 4b84a47d-8707-4785-9e1f-8ecac64bab68 + true + Evaluate Length + Evaluate Length + + + + + + 5859 + 18193 + 144 + 64 + + + 5933 + 18225 + + + + + + Curve to evaluate + 04b11080-6967-43d9-9e84-196c7413903f + true + Curve + Curve + false + 184a3679-023f-40c3-b89e-5f6ed06d0ee7 + 1 + + + + + + 5861 + 18195 + 57 + 20 + + + 5891 + 18205 + + + + + + + + Length factor for curve evaluation + 737f6667-083c-4821-a33c-e6a4ae9d1dcf + true + Length + Length + false + 0 + + + + + + 5861 + 18215 + 57 + 20 + + + 5891 + 18225 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + f7110bcc-db11-4d80-b833-247e764b6c67 + true + Normalized + Normalized + false + 0 + + + + + + 5861 + 18235 + 57 + 20 + + + 5891 + 18245 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 0f7fa351-89e8-4acb-b60e-24fe08937ff7 + true + Point + Point + false + 0 + + + + + + 5948 + 18195 + 53 + 20 + + + 5976 + 18205 + + + + + + + + Tangent vector at the specified length + 56a66567-5d9b-48e4-a136-be460e1f71ea + true + Tangent + Tangent + false + 0 + + + + + + 5948 + 18215 + 53 + 20 + + + 5976 + 18225 + + + + + + + + Curve parameter at the specified length + 90f6a9cf-fa2a-4081-a32f-88917f002c13 + true + Parameter + Parameter + false + 0 + + + + + + 5948 + 18235 + 53 + 20 + + + 5976 + 18245 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + b0aaa12f-bb5e-4257-afa2-7f461529d19d + true + Expression + Expression + + + + + + 5834 + 17976 + 194 + 28 + + + 5934 + 17990 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 462070de-5d45-4b86-99c5-6d81ff4c0eb5 + true + Variable O + O + true + 1eaf5da9-96cc-46ee-8bb3-20b58ba1cf32 + 1 + + + + + + 5836 + 17978 + 14 + 24 + + + 5844.5 + 17990 + + + + + + + + Result of expression + 0044d138-c973-4e92-a9bb-b6c6ec670aca + true + Result + + false + 0 + + + + + + 6017 + 17978 + 9 + 24 + + + 6023 + 17990 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + b91be93c-2fa3-48dd-b1a3-b2e69034d78d + true + Deconstruct + Deconstruct + + + + + + 5865 + 18110 + 132 + 64 + + + 5912 + 18142 + + + + + + Input point + c615b5ea-29f7-465a-9632-bbd6af125c47 + true + Point + Point + false + 0f7fa351-89e8-4acb-b60e-24fe08937ff7 + 1 + + + + + + 5867 + 18112 + 30 + 60 + + + 5883.5 + 18142 + + + + + + + + Point {x} component + 1eaf5da9-96cc-46ee-8bb3-20b58ba1cf32 + true + X component + X component + false + 0 + + + + + + 5927 + 18112 + 68 + 20 + + + 5962.5 + 18122 + + + + + + + + Point {y} component + 544f07cd-40af-4581-aad0-0556691f2ea1 + true + Y component + Y component + false + 0 + + + + + + 5927 + 18132 + 68 + 20 + + + 5962.5 + 18142 + + + + + + + + Point {z} component + ccde3ec4-dcef-4019-8fb0-c8ea05cb3b2e + true + Z component + Z component + false + 0 + + + + + + 5927 + 18152 + 68 + 20 + + + 5962.5 + 18162 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ad8fd811-5c9a-46f2-9fb7-8c44f5b74452 + true + Panel + + false + 0 + 0044d138-c973-4e92-a9bb-b6c6ec670aca + 1 + Double click to edit panel content… + + + + + + 5858 + 17950 + 160 + 20 + + 0 + 0 + 0 + + 5858.512 + 17950.69 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + fd69c204-0c56-441a-9cfb-4ac882600323 + true + Expression + Expression + + + + + + 5834 + 17890 + 194 + 28 + + + 5934 + 17904 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 35de56ec-ff75-4d33-b5e5-2fca9f8ae3e2 + true + Variable O + O + true + 544f07cd-40af-4581-aad0-0556691f2ea1 + 1 + + + + + + 5836 + 17892 + 14 + 24 + + + 5844.5 + 17904 + + + + + + + + Result of expression + dfe38a25-7dd8-4fb5-acb0-9644a6f36a0c + true + Result + + false + 0 + + + + + + 6017 + 17892 + 9 + 24 + + + 6023 + 17904 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 92e72eb1-7b34-42e4-a86f-53dfdd6ea022 + true + Panel + + false + 0 + dfe38a25-7dd8-4fb5-acb0-9644a6f36a0c + 1 + Double click to edit panel content… + + + + + + 5858 + 17865 + 160 + 20 + + 0 + 0 + 0 + + 5858.521 + 17865.05 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 8b88901b-aaba-44b8-81de-4fed9c5db99a + true + Expression + Expression + + + + + + 5834 + 18062 + 194 + 28 + + + 5934 + 18076 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8c02de58-e46e-4c56-a3e6-c49c3b2d1a0a + true + Variable O + O + true + ccde3ec4-dcef-4019-8fb0-c8ea05cb3b2e + 1 + + + + + + 5836 + 18064 + 14 + 24 + + + 5844.5 + 18076 + + + + + + + + Result of expression + 1a3008c4-e9f4-4cfc-b1d8-1c63ea80af16 + true + Result + + false + 0 + + + + + + 6017 + 18064 + 9 + 24 + + + 6023 + 18076 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8d5e42f0-3482-4f51-9626-68ebbefdbab9 + true + Panel + + false + 0 + 1a3008c4-e9f4-4cfc-b1d8-1c63ea80af16 + 1 + Double click to edit panel content… + + + + + + 5858 + 18036 + 160 + 20 + + 0 + 0 + 0 + + 5858.262 + 18036.9 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ee53f26e-b430-492a-a353-5d2c5665ee75 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 5749 + 22391 + 379 + 104 + + 0 + 0 + 0 + + 5749.92 + 22391.35 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 84ed4f5c-c495-4632-ab02-2d04a961e45f + true + Panel + + false + 0 + 076e6bde-59eb-4495-954f-32cc722c01f7 + 1 + Double click to edit panel content… + + + + + + 5770 + 20400 + 337 + 276 + + 0 + 0 + 0 + + 5770.451 + 20400.68 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 1cbb6b9c-ea74-47e7-9bc8-21aaf33383af + true + Expression + Expression + + + + + + 5834 + 20684 + 194 + 28 + + + 5934 + 20698 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 14351e2d-a352-4dce-a30d-13f7b0c811f1 + true + Variable O + O + true + 161c150e-386f-40f3-875a-4b3bb95765a2 + 1 + + + + + + 5836 + 20686 + 14 + 24 + + + 5844.5 + 20698 + + + + + + + + Result of expression + 076e6bde-59eb-4495-954f-32cc722c01f7 + true + Result + + false + 0 + + + + + + 6017 + 20686 + 9 + 24 + + + 6023 + 20698 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 5dd735ad-8c4e-4457-bd38-e14eee0646bf + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 5930 + 22858 + 50 + 24 + + + 5955.176 + 22870.44 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 618a62fc-c364-493f-afdf-61708b13caf2 + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 5762 + 20966 + 160 + 224 + + + 5830 + 21078 + + + + + + 1 + One or multiple graph curves to graph map values with + 30b94f63-80e3-46eb-98e9-3c3e8b625162 + true + Curves + Curves + false + 624d5142-3538-43e0-9a46-2e1a2f57615b + 1 + + + + + + 5764 + 20968 + 51 + 27 + + + 5791 + 20981.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + 89e8bf0d-5a1b-4579-aa8b-c40c0b64c8ac + true + Rectangle + Rectangle + false + 23201971-5f33-4f3e-8662-ab5c2cd1851a + 1 + + + + + + 5764 + 20995 + 51 + 28 + + + 5791 + 21009.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 3ab6664c-ea47-49cd-94ae-ddc13814c381 + true + Values + Values + false + e036b819-f3fa-49f8-bdc3-6d85e6bc4725 + 1 + + + + + + 5764 + 21023 + 51 + 27 + + + 5791 + 21036.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + b55b9aa4-6a35-4151-a4f8-d6856280c28c + true + X Axis + X Axis + true + 0 + + + + + + 5764 + 21050 + 51 + 28 + + + 5791 + 21064.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 0e8b6341-5fbc-435e-b204-0111030a5334 + true + Y Axis + Y Axis + true + 0 + + + + + + 5764 + 21078 + 51 + 27 + + + 5791 + 21091.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + 15cc15a9-a0ac-42ba-8d51-6db59b75b64f + true + Flip + Flip + false + 0 + + + + + + 5764 + 21105 + 51 + 28 + + + 5791 + 21119.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + f811727c-4432-4bb5-98f9-0e6bfcbc5413 + true + Snap + Snap + false + 0 + + + + + + 5764 + 21133 + 51 + 27 + + + 5791 + 21146.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + 123f00a9-3a73-408e-8986-ac51296a0933 + true + Text Size + Text Size + false + 0 + + + + + + 5764 + 21160 + 51 + 28 + + + 5791 + 21174.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + cd26c477-21f3-4756-b42c-f25fb8559b0c + true + Mapped + Mapped + false + 0 + + + + + + 5845 + 20968 + 75 + 20 + + + 5884 + 20978 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 488e562d-f51b-431f-9cd4-32b75f4a4531 + true + Graph Curves + Graph Curves + false + 0 + + + + + + 5845 + 20988 + 75 + 20 + + + 5884 + 20998 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + f131d75e-82da-4322-a877-3cd4f19f3ab8 + true + Graph Points + Graph Points + false + 0 + + + + + + 5845 + 21008 + 75 + 20 + + + 5884 + 21018 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 2393337e-eb0e-4ca3-9f48-4951c23a8484 + true + Value Lines + Value Lines + false + 0 + + + + + + 5845 + 21028 + 75 + 20 + + + 5884 + 21038 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + f095fbac-7580-48bb-9033-b5757e4254f3 + true + Value Points + Value Points + false + 0 + + + + + + 5845 + 21048 + 75 + 20 + + + 5884 + 21058 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 3d548f04-039f-4143-bdb9-a6dddb1fff0b + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 5845 + 21068 + 75 + 20 + + + 5884 + 21078 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + d827530a-d295-41c2-9e5b-00a1805a190d + true + Mapped Points + Mapped Points + false + 0 + + + + + + 5845 + 21088 + 75 + 20 + + + 5884 + 21098 + + + + + + + + The graph boundary background as a surface + 3e91de9e-c0af-4a1d-936a-eda5f318c63b + true + Boundary + Boundary + false + 0 + + + + + + 5845 + 21108 + 75 + 20 + + + 5884 + 21118 + + + + + + + + 1 + The graph labels as curve outlines + b955bf99-0df6-4012-977f-ed05dd73e4c4 + true + Labels + Labels + false + 0 + + + + + + 5845 + 21128 + 75 + 20 + + + 5884 + 21138 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 15d407f3-3440-40ae-b4c5-790a7b029d62 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 5845 + 21148 + 75 + 20 + + + 5884 + 21158 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + c3d3d2b6-152e-4f14-b52a-36b6ccd4fec6 + true + Intersected + Intersected + false + 0 + + + + + + 5845 + 21168 + 75 + 20 + + + 5884 + 21178 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 388543c4-041b-413c-9cc4-ed5a5ff34151 + true + End Points + End Points + + + + + + 5883 + 21391 + 96 + 44 + + + 5933 + 21413 + + + + + + Curve to evaluate + 2520b0bf-c202-41d7-a18c-b1bc156b4196 + true + Curve + Curve + false + 624d5142-3538-43e0-9a46-2e1a2f57615b + 1 + + + + + + 5885 + 21393 + 33 + 40 + + + 5903 + 21413 + + + + + + + + Curve start point + ae385d39-43eb-4be6-b31f-5b4f6e27a106 + true + Start + Start + false + 0 + + + + + + 5948 + 21393 + 29 + 20 + + + 5964 + 21403 + + + + + + + + Curve end point + 317e52fb-06e3-4a76-8f15-76072e971ed0 + true + End + End + false + 0 + + + + + + 5948 + 21413 + 29 + 20 + + + 5964 + 21423 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 82348a3c-9eea-4fc0-9a5b-cb872f5abbc5 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 5873 + 21263 + 126 + 84 + + + 5931 + 21305 + + + + + + Rectangle base plane + deb3af6d-a95a-4920-b2f1-417300344b2a + true + Plane + Plane + false + 0 + + + + + + 5875 + 21265 + 41 + 20 + + + 5897 + 21275 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + b29a199f-8a2c-454e-93a1-57a6658caffa + true + Point A + Point A + false + ae385d39-43eb-4be6-b31f-5b4f6e27a106 + 1 + + + + + + 5875 + 21285 + 41 + 20 + + + 5897 + 21295 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 6009e3bd-33f7-4347-9862-b289fa84366d + true + Point B + Point B + false + 317e52fb-06e3-4a76-8f15-76072e971ed0 + 1 + + + + + + 5875 + 21305 + 41 + 20 + + + 5897 + 21315 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + e5da011e-edbf-421e-b1a2-e091044e4872 + true + Radius + Radius + false + 0 + + + + + + 5875 + 21325 + 41 + 20 + + + 5897 + 21335 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 23201971-5f33-4f3e-8662-ab5c2cd1851a + true + Rectangle + Rectangle + false + 0 + + + + + + 5946 + 21265 + 51 + 40 + + + 5973 + 21285 + + + + + + + + Length of rectangle curve + 69e5b0cf-7c4a-4dbc-96d3-fb8448932a87 + true + Length + Length + false + 0 + + + + + + 5946 + 21305 + 51 + 40 + + + 5973 + 21325 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + a2fcf294-58d9-4486-bfa1-a9a3a8aa8dff + true + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 5922 + 21086 + 126 + 104 + + + 5989 + 21138 + + + + + + External curve as a graph + da39b5ab-edbb-46ed-8a11-f79ba73d4723 + true + Curve + Curve + false + 624d5142-3538-43e0-9a46-2e1a2f57615b + 1 + + + + + + 5924 + 21088 + 50 + 20 + + + 5950.5 + 21098 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 3945667c-564a-4471-8a59-a307b926916d + true + Boundary + Boundary + true + 23201971-5f33-4f3e-8662-ab5c2cd1851a + 1 + + + + + + 5924 + 21108 + 50 + 20 + + + 5950.5 + 21118 + + + + + + + + 1 + List of input numbers + d184cb1e-a243-4ded-92f7-6aa511a1dec5 + true + Numbers + Numbers + false + e036b819-f3fa-49f8-bdc3-6d85e6bc4725 + 1 + + + + + + 5924 + 21128 + 50 + 20 + + + 5950.5 + 21138 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 66d1e029-7c05-47a6-8bcf-886e06184999 + true + Input + Input + true + a90de09f-63e5-4d06-84a3-2847e4c77a02 + 1 + + + + + + 5924 + 21148 + 50 + 20 + + + 5950.5 + 21158 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 6841fadc-0840-43f8-8bdc-551a45e2244a + true + Output + Output + true + a90de09f-63e5-4d06-84a3-2847e4c77a02 + 1 + + + + + + 5924 + 21168 + 50 + 20 + + + 5950.5 + 21178 + + + + + + + + 1 + Output Numbers + 318c3e92-4338-45ae-a12f-3900644e4fe3 + true + Number + Number + false + 0 + + + + + + 6004 + 21088 + 42 + 100 + + + 6026.5 + 21138 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + e2e195fd-49d3-456b-92fb-68c4f2184a19 + true + Stream Filter + Stream Filter + + + + + + 5897 + 20883 + 89 + 64 + + + 5942 + 20915 + + + + + + 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 + 8a76d2df-8165-40c8-afc5-cd90eb58936d + true + Gate + Gate + false + 96b65f86-5d49-47f7-858f-e222f23b0d11 + 1 + + + + + + 5899 + 20885 + 28 + 20 + + + 5914.5 + 20895 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 3cd42460-c6df-41bd-a61b-ae3ea1ac12e6 + true + false + Stream 0 + 0 + true + cd26c477-21f3-4756-b42c-f25fb8559b0c + 1 + + + + + + 5899 + 20905 + 28 + 20 + + + 5914.5 + 20915 + + + + + + + + 2 + Input stream at index 1 + 4364f945-e520-4930-becc-8433bdeb21df + true + false + Stream 1 + 1 + true + 318c3e92-4338-45ae-a12f-3900644e4fe3 + 1 + + + + + + 5899 + 20925 + 28 + 20 + + + 5914.5 + 20935 + + + + + + + + 2 + Filtered stream + 565bff87-c1f3-423f-ab95-05c38319cd6c + true + false + Stream + S(1) + false + 0 + + + + + + 5957 + 20885 + 27 + 60 + + + 5972 + 20915 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + dfbd4830-30d1-4236-9600-fc514fa8836c + true + Number Slider + + false + 0 + + + + + + 5874 + 20805 + 150 + 20 + + + 5874.881 + 20805.28 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 77ee56bf-42ea-4de5-a9e1-55394398403b + true + Panel + + false + 1 + 0b7df59e-e9c0-4d51-8e88-5dccef34a90b + 1 + Double click to edit panel content… + + + + + + 5848 + 21587 + 185 + 271 + + 0 + 0 + 0 + + 5848.951 + 21587.55 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 1a33f23c-ee59-41be-9968-ab9ba5ed2344 + true + Bounds + Bounds + + + + + + 5872 + 21530 + 122 + 28 + + + 5936 + 21544 + + + + + + 1 + Numbers to include in Bounds + 45c649d5-f023-4ca6-8f1e-e319ec8e5989 + true + Numbers + Numbers + false + e036b819-f3fa-49f8-bdc3-6d85e6bc4725 + 1 + + + + + + 5874 + 21532 + 47 + 24 + + + 5899 + 21544 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + a90de09f-63e5-4d06-84a3-2847e4c77a02 + true + Domain + Domain + false + 0 + + + + + + 5951 + 21532 + 41 + 24 + + + 5973 + 21544 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9daec4e9-6644-4eb9-a65b-8b9266447b5b + true + Expression + Expression + + + + + + 5834 + 21944 + 194 + 28 + + + 5934 + 21958 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + af57daa0-47ac-4c6e-8f04-590e904057a6 + true + Variable O + O + true + e036b819-f3fa-49f8-bdc3-6d85e6bc4725 + 1 + + + + + + 5836 + 21946 + 14 + 24 + + + 5844.5 + 21958 + + + + + + + + Result of expression + 0b7df59e-e9c0-4d51-8e88-5dccef34a90b + true + Result + + false + 0 + + + + + + 6017 + 21946 + 9 + 24 + + + 6023 + 21958 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 5ab81b8c-dd2e-4b73-8d51-75bf39f3397d + true + Expression + Expression + + + + + + 5748 + 22176 + 367 + 28 + + + 5934 + 22190 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 6823ae57-746b-4d1c-9908-4f2783f92320 + true + Variable O + O + true + c51817d3-3489-4bdf-baca-363dd1128013 + 1 + + + + + + 5750 + 22178 + 14 + 24 + + + 5758.5 + 22190 + + + + + + + + Result of expression + d7fd5e8b-1c9f-4987-a795-6ba9eb43583f + true + Result + + false + 0 + + + + + + 6104 + 22178 + 9 + 24 + + + 6110 + 22190 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + dbdc7d7c-dfd1-447c-8b12-a2be4e23352d + true + Panel + + false + 0 + d7fd5e8b-1c9f-4987-a795-6ba9eb43583f + 1 + Double click to edit panel content… + + + + + + 5849 + 22124 + 179 + 20 + + 0 + 0 + 0 + + 5849.09 + 22124.42 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 3f1947f1-3f92-4e10-b16a-63d868183413 + 1 + 0d8169a8-cfe0-468d-a1be-f07fa24df9d8 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 76ca0f6d-8ba8-4ef0-8775-01969890a3b5 + true + Scale + Scale + + + + + + 5854 + 18318 + 154 + 64 + + + 5938 + 18350 + + + + + + Base geometry + 65a67567-cd85-400b-8ed1-8bba38840797 + true + Geometry + Geometry + true + 8cb6586a-a146-45f7-b630-5c0b4f08febe + 1 + + + + + + 5856 + 18320 + 67 + 20 + + + 5899 + 18330 + + + + + + + + Center of scaling + 7e8c75c5-c6f1-4dc3-bc25-c99ae436fd9c + true + Center + Center + false + 0 + + + + + + 5856 + 18340 + 67 + 20 + + + 5899 + 18350 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 131ded55-107b-4eae-a6a0-837b3de9ca7e + 1/X + true + Factor + Factor + false + b81bdd29-15f2-48a9-a4f7-c1c02f788be1 + 1 + + + + + + 5856 + 18360 + 67 + 20 + + + 5899 + 18370 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 00032961-ed79-4d24-b422-b15ce9aa1b1d + true + Geometry + Geometry + false + 0 + + + + + + 5953 + 18320 + 53 + 30 + + + 5981 + 18335 + + + + + + + + Transformation data + 4004b560-b79e-4fcb-a5ff-94f5cc742896 + true + Transform + Transform + false + 0 + + + + + + 5953 + 18350 + 53 + 30 + + + 5981 + 18365 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + c6c2efe1-f8cf-4896-bb6e-d683a17f3b5b + true + Point + Point + false + 00032961-ed79-4d24-b422-b15ce9aa1b1d + 1 + + + + + + 5913 + 18288 + 50 + 24 + + + 5938.24 + 18300.94 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + bfd16498-8d15-4c7a-8272-1642d47087b4 + true + Mirror + Mirror + + + + + + 5859 + 17518 + 138 + 44 + + + 5927 + 17540 + + + + + + Base geometry + c735e74d-6fe6-4495-b999-ba4956ef5de0 + true + Geometry + Geometry + true + 3f1947f1-3f92-4e10-b16a-63d868183413 + 1 + + + + + + 5861 + 17520 + 51 + 20 + + + 5888 + 17530 + + + + + + + + Mirror plane + 71fa7d04-716a-415a-bd17-0d5df78c1287 + true + Plane + Plane + false + 0 + + + + + + 5861 + 17540 + 51 + 20 + + + 5888 + 17550 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 1e943a47-c054-4533-9090-32f464ea2477 + true + Geometry + Geometry + false + 0 + + + + + + 5942 + 17520 + 53 + 20 + + + 5970 + 17530 + + + + + + + + Transformation data + 461c84b6-1703-4d48-a5b0-e4b87d914786 + true + Transform + Transform + false + 0 + + + + + + 5942 + 17540 + 53 + 20 + + + 5970 + 17550 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 992f34c0-9384-4928-b69f-b6f1ae913f03 + true + Curve + Curve + false + cde8ca26-88e4-411a-8832-a0f9f2b8efd8 + 1 + + + + + + 5912 + 17419 + 50 + 24 + + + 5937.49 + 17431.94 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 624d5142-3538-43e0-9a46-2e1a2f57615b + true + Relay + + false + aa6adbaa-932b-42e7-99a8-17690d6af46c + 1 + + + + + + 5911 + 21462 + 40 + 16 + + + 5931 + 21470 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 797ad11f-349e-4536-9541-cc752a7f0661 + true + Curve + Curve + false + c035a839-8867-4a62-ac47-bf237dd115c4 + 1 + + + + + + 5461 + 21846 + 50 + 24 + + + 5486.286 + 21858.88 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + aa6adbaa-932b-42e7-99a8-17690d6af46c + true + Curve + Curve + false + 3abe96e1-be0e-4180-b824-17f6b49c4563 + 1 + + + + + + 5461 + 21565 + 50 + 24 + + + 5486.387 + 21577.21 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 423dd1e6-3a04-416e-b177-f9fcf9efba03 + true + Scale + Scale + + + + + + 5402 + 21595 + 154 + 64 + + + 5486 + 21627 + + + + + + Base geometry + 166ab929-4563-4e71-9a2d-685b0cd645e9 + true + Geometry + Geometry + true + 797ad11f-349e-4536-9541-cc752a7f0661 + 1 + + + + + + 5404 + 21597 + 67 + 20 + + + 5447 + 21607 + + + + + + + + Center of scaling + 82c8209f-62af-4ca6-a343-13139207abb3 + true + Center + Center + false + 0 + + + + + + 5404 + 21617 + 67 + 20 + + + 5447 + 21627 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 2cd173c0-7ce1-42f6-94f5-23af7e9368bb + 2^X + true + Factor + Factor + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 5404 + 21637 + 67 + 20 + + + 5447 + 21647 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 3abe96e1-be0e-4180-b824-17f6b49c4563 + true + Geometry + Geometry + false + 0 + + + + + + 5501 + 21597 + 53 + 30 + + + 5529 + 21612 + + + + + + + + Transformation data + 046226a4-d7f8-4d5d-b2bf-14cd7451e3b4 + true + Transform + Transform + false + 0 + + + + + + 5501 + 21627 + 53 + 30 + + + 5529 + 21642 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 797ad11f-349e-4536-9541-cc752a7f0661 + aa6adbaa-932b-42e7-99a8-17690d6af46c + 423dd1e6-3a04-416e-b177-f9fcf9efba03 + 27899f96-8899-44d3-a06c-50d23c4c5623 + 95f5eb60-9a7d-494e-b6d6-1f4e4545765b + 961a7622-509b-4acc-96e7-d08da2d19800 + b3aa515d-00b6-459e-9b0a-9eb604062316 + c0aa9751-62ad-49b3-9990-bd1901aec0b1 + 4d5a9053-ffac-48e1-8beb-ffdc31f04bbf + 2f2b26be-424b-4849-9820-1517475330af + 10 + ae01f5b0-72e5-4d2e-b986-97be69ba9e94 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + a9c820c4-d23b-4376-8473-a53dcbb1a46c + true + Move + Move + + + + + + 5859 + 17454 + 138 + 44 + + + 5927 + 17476 + + + + + + Base geometry + 5d20c475-88b4-4d34-8841-f7a822d159e7 + true + Geometry + Geometry + true + 3f1947f1-3f92-4e10-b16a-63d868183413 + 1 + + + + + + 5861 + 17456 + 51 + 20 + + + 5888 + 17466 + + + + + + + + Translation vector + 65c4ac1c-5e6c-44f5-9d50-8aae299a3151 + true + Motion + Motion + false + b753320c-2c8b-4e80-a4ab-50a7c4f3ace7 + 1 + + + + + + 5861 + 17476 + 51 + 20 + + + 5888 + 17486 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 3 + 0 + + + + + + + + + + + + Translated geometry + cde8ca26-88e4-411a-8832-a0f9f2b8efd8 + true + Geometry + Geometry + false + 0 + + + + + + 5942 + 17456 + 53 + 20 + + + 5970 + 17466 + + + + + + + + Transformation data + 78e5636c-a3e0-40c9-a6cb-964b294e54b0 + true + Transform + Transform + false + 0 + + + + + + 5942 + 17476 + 53 + 20 + + + 5970 + 17486 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 95f5eb60-9a7d-494e-b6d6-1f4e4545765b + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 30.9312132004 + + + + + + 5361 + 21790 + 250 + 20 + + + 5361.686 + 21790.3 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 961a7622-509b-4acc-96e7-d08da2d19800 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 5418 + 21689 + 144 + 20 + + 0 + 0 + 0 + + 5418.846 + 21689.92 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + b3aa515d-00b6-459e-9b0a-9eb604062316 + true + Curve + Curve + false + 0 + + + + + + 5461 + 21522 + 50 + 24 + + + 5486.387 + 21534.21 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c0aa9751-62ad-49b3-9990-bd1901aec0b1 + true + Curve + Curve + false + 0 + + + + + + 5463 + 21979 + 50 + 24 + + + 5488.337 + 21991.05 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 03d855b5-9f61-438b-9bf0-87ebcbf4876a + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 5719 + 22371 + 439 + 20 + + 0 + 0 + 0 + + 5719.471 + 22371.88 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 49ddde76-0dcc-4cc7-9494-fb215c32cc49 + true + Panel + + false + 0 + 12369739-5e43-4fc3-93e8-b5c72400ba82 + 1 + 0.00032220000 +0.00000220000 + + + + + + 5719 + 22495 + 439 + 22 + + 0 + 0 + 0 + + 5719.781 + 22495.83 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 92438a85-6a1b-44ff-ad43-09275b578055 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 5812 + 22637 + 251 + 20 + + + 5812.381 + 22637.24 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 357e6819-27fe-4f42-aeba-efcdd76e2002 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 5720 + 22617 + 439 + 20 + + 0 + 0 + 0 + + 5720.221 + 22617.4 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 707cf740-02e9-4c63-8e3b-3db59c713c92 + true + Point + Point + false + a443a10c-cbaf-498b-a1e4-e539f45fe4fe + 1 + + + + + + 5935 + 20270 + 50 + 24 + + + 5960.201 + 20282.96 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a443a10c-cbaf-498b-a1e4-e539f45fe4fe + true + Relay + + false + 161c150e-386f-40f3-875a-4b3bb95765a2 + 1 + + + + + + 5935 + 20314 + 40 + 16 + + + 5955 + 20322 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8cb6586a-a146-45f7-b630-5c0b4f08febe + true + Relay + + false + 8492e57a-ee14-4a00-ad41-35ac66770585 + 1 + + + + + + 5935 + 20091 + 40 + 16 + + + 5955 + 20099 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 6e9d3bc2-d3f1-44b3-993f-98f642a4acb6 + true + Scale + Scale + + + + + + 5878 + 20127 + 154 + 64 + + + 5962 + 20159 + + + + + + Base geometry + 6cba7fa1-614d-4c72-bed9-e66ee9c19bd5 + true + Geometry + Geometry + true + 707cf740-02e9-4c63-8e3b-3db59c713c92 + 1 + + + + + + 5880 + 20129 + 67 + 20 + + + 5923 + 20139 + + + + + + + + Center of scaling + 20ac9e84-cd47-4e07-89e4-1a517065dbb0 + true + Center + Center + false + 0 + + + + + + 5880 + 20149 + 67 + 20 + + + 5923 + 20159 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 4fe7a574-26bb-4cec-a971-cd70c37320e9 + 2^X + true + Factor + Factor + false + 599c60ab-44a9-4f44-970e-fc9c25ddd6e4 + 1 + + + + + + 5880 + 20169 + 67 + 20 + + + 5923 + 20179 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 8492e57a-ee14-4a00-ad41-35ac66770585 + true + Geometry + Geometry + false + 0 + + + + + + 5977 + 20129 + 53 + 30 + + + 6005 + 20144 + + + + + + + + Transformation data + 2b6f01d3-58a0-4bf5-bfbf-e12e48fff21a + true + Transform + Transform + false + 0 + + + + + + 5977 + 20159 + 53 + 30 + + + 6005 + 20174 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 599c60ab-44a9-4f44-970e-fc9c25ddd6e4 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 5839 + 20215 + 250 + 20 + + + 5839.98 + 20215.32 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 707cf740-02e9-4c63-8e3b-3db59c713c92 + 1 + 572e5b45-03cb-4ab7-ab9e-78dc75221447 + Group + Point + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 12369739-5e43-4fc3-93e8-b5c72400ba82 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.02196259374 + + + + + + 5811 + 22537 + 251 + 20 + + + 5811.881 + 22537.55 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 2f2b26be-424b-4849-9820-1517475330af + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 5361 + 21745 + 250 + 20 + + + 5361.834 + 21745.51 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 57ee3ef1-7767-42d5-bc6f-455d29571ca3 + true + Vector XYZ + Vector XYZ + + + + + + 5858 + 17591 + 139 + 64 + + + 5943 + 17623 + + + + + + Vector {x} component + 49c3af90-e637-457e-a10b-8e9c037d7e54 + true + X component + X component + false + 0 + + + + + + 5860 + 17593 + 68 + 20 + + + 5895.5 + 17603 + + + + + + 1 + + + + + 1 + {0} + + + + + 5 + + + + + + + + + + + Vector {y} component + 973b4fce-a6ba-4f56-aa82-7a0f2b6ba568 + true + Y component + Y component + false + 0 + + + + + + 5860 + 17613 + 68 + 20 + + + 5895.5 + 17623 + + + + + + 1 + + + + + 1 + {0} + + + + + 4 + + + + + + + + + + + Vector {z} component + e93e67b6-c10e-408a-99d4-5cb5ade28b0f + true + Z component + Z component + false + 0 + + + + + + 5860 + 17633 + 68 + 20 + + + 5895.5 + 17643 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + b753320c-2c8b-4e80-a4ab-50a7c4f3ace7 + true + Vector + Vector + false + 0 + + + + + + 5958 + 17593 + 37 + 30 + + + 5978 + 17608 + + + + + + + + Vector length + 0b45f341-9a1b-4551-b1a7-59177533af9f + true + Length + Length + false + 0 + + + + + + 5958 + 17623 + 37 + 30 + + + 5978 + 17638 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 4d5a9053-ffac-48e1-8beb-ffdc31f04bbf + true + Stream Filter + Stream Filter + + + + + + 5441 + 21888 + 89 + 64 + + + 5486 + 21920 + + + + + + 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 + 040aa4d7-2ee7-4a46-8da2-ca36bf2d99d4 + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 5443 + 21890 + 28 + 20 + + + 5458.5 + 21900 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 0d14be51-b37f-4b39-8144-4f0d9ab4d1a8 + true + false + Stream 0 + 0 + true + d4034eaa-4c6f-4be1-b330-6f528bb505ca + 1 + + + + + + 5443 + 21910 + 28 + 20 + + + 5458.5 + 21920 + + + + + + + + 2 + Input stream at index 1 + be5841a2-ca68-4af0-bf67-59eb01a3fb72 + true + false + Stream 1 + 1 + true + ffec4d71-4ff5-4e80-877f-78e4fee070d7 + 1 + + + + + + 5443 + 21930 + 28 + 20 + + + 5458.5 + 21940 + + + + + + + + 2 + Filtered stream + c035a839-8867-4a62-ac47-bf237dd115c4 + true + false + Stream + S(1) + false + 0 + + + + + + 5501 + 21890 + 27 + 60 + + + 5516 + 21920 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 96b65f86-5d49-47f7-858f-e222f23b0d11 + true + Relay + + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 5911 + 20860 + 40 + 16 + + + 5931 + 20868 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 44b37048-c31c-4e55-aa4a-0a740586d36f + 9a96a98b-9d42-4cd5-9284-e3ec69b5d0ba + 30001983-c314-4c6c-88d3-45dee8332dbb + 9f95dc08-d6f9-4d10-a5dd-ef1fc47e0022 + ddb6fc0a-d855-4568-a2d9-a2271d2cdc89 + c87e5f22-762f-485a-b818-05e9c603f0ea + 6 + 96fc153b-64eb-4726-a7da-bc834149e081 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7fd79caf-0e14-4808-88d4-342224a4e1e3 + 6d222cec-5efb-4cd1-a700-a3a04a704e6a + a1f3ac78-f4fe-4b00-bfda-3aee0db7bc60 + 0806a1f0-0c8a-4d08-8c3a-9148cca556a4 + acf248e9-58de-4927-b666-2e85b7bcd89b + e5536d41-c0e5-4c68-9efb-d6cb067ad353 + c23029ce-7c6c-4acb-8916-a300effb33da + 0f9763da-ce85-4edb-bd19-daa811d5ac2a + 1b52c30e-38eb-4b54-81c1-175c933929b5 + ce8a4e5b-9b06-4346-8eac-8abafe65eba2 + 96aeff2a-0486-418a-bb6f-efa7c70fc406 + 5b6edc87-710c-4778-b371-0572f76a6eea + 55e34e14-778f-4551-b0f6-e8048ee9ad94 + 9fb686ac-14c7-4630-8173-c477e863703d + c224342c-801f-4459-9224-44879ddf539f + 9c769439-ffcd-4cfb-950b-855f1c4a933b + 804efc16-4473-4cee-a45d-a43056b33935 + 8d4113ae-a157-4929-9f46-cd13f33c78ff + 9811c142-0f73-4ce7-a44a-409f6677caac + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 0d02c7f9-645d-4eff-aa8b-42044e536d9a + ca39bf69-1f22-4107-a155-1a412b05990d + 6dfa2e40-0b93-4d78-bfef-d1b0498ae063 + 6e32738f-b233-4380-b3f3-e003cdb73a30 + 5fc5e35b-f787-42c4-8dcc-f1adcf4ff668 + 46747f67-4428-487c-a7b2-b8d0cd6b7843 + 707358ec-acc2-4978-96df-dd2c5ef1712b + 3d2d5cc6-1866-4d03-aec5-a83e0a7fc247 + fc0a22ac-f8b8-4e1a-8cb9-411342529415 + a3a59315-e267-4aed-a39a-7268f8037e96 + 135c614d-28b6-42e1-a219-d63d1c92b406 + 1c683cd3-d178-40f6-af46-51830c911e87 + 828d389f-4f26-4fd5-9d27-1eab46d2dbc2 + b16c7be5-f1f6-4ee1-9aa3-eb466cc5a884 + f7b89038-5175-49ed-97f0-fee8f703ec8f + 88d97611-26d5-435e-85e1-fdc01e1ae443 + 36dbebc4-a3c4-4ff6-a03c-7eed77105921 + 235a8524-d28f-4b64-ac0c-a2c704f2e604 + 152ea8d2-dd91-4423-81d2-698f1b7be65a + 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 + 7cf7d828-280e-4457-ba22-1fc72d61b0c9 + 1b05147b-2872-4537-9a1b-888a55510d3d + 51fe0398-fd36-4ce9-85b2-6385fdf8b946 + c72da2af-8375-4f8b-a200-edaf292758da + 56cccad3-2219-440f-8577-8a25cce2f6f2 + 6630b57b-b7bb-4b55-956e-65c0add88eed + 59d3d0ec-df0f-4f6c-b8e0-9ff112c4c214 + 2e2e5360-9054-450f-b0d9-828af6d004a2 + 3c104a70-9abd-4da6-94c2-b50d2ed71e81 + e6da33ac-d80f-4c54-b680-eeeaba3ff614 + 421e1f40-1c39-41b5-9c1e-9d61ed50a5db + 7082e895-b111-4112-9e7a-5de8d7c7c95c + 9a13c0dc-bb24-4f72-9571-14bdd66675e2 + 52f49153-a197-410a-a02d-d440c32f4e97 + 6c787197-7373-48f6-b7b9-bd4e9712d98a + 6598a20f-173e-4b4d-b898-bc05449f7670 + d75a7971-0179-42aa-ac3f-88ee1bdbf459 + 728cb53a-2801-4767-9579-9c49d7aee2a0 + 8bf07c87-64b8-4f7d-aba2-4db12e7834d9 + ae6114a6-87aa-49b5-b01e-dc0db60731f7 + f83f0c0b-8580-47e9-9e4d-22fba721ab53 + 8f96ae32-b5d0-4ce8-bbff-8994e10e5d6d + ce4704df-7da3-42aa-b64f-e8f20157b818 + 1bdfd856-521c-417a-971c-0d51ccf78be5 + e3edc1b6-5051-47a2-b2b7-c3711c58cd4f + 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 + 7d55e7dc-f827-43b8-aa47-c9dd146598fd + dba667c8-74dc-4a1c-8c1d-1520ea051571 + 464914e0-2900-4dca-aa88-05c9526638e9 + 69873ce1-1baf-454a-99ee-7b63778fffc3 + 389fe958-f5ce-4018-a63d-256b87398808 + 69930a87-8a03-4408-ae2c-9567e94f0b7c + 6c3f0605-6ecc-4a04-a5cd-81072b39c4af + 0b55e68c-d601-4d71-a7f3-b1bff8c50ecb + 40543166-758e-4c68-bb76-3839522e6d80 + e5fb97f5-2ceb-41bd-94d3-482fef5e394a + 5c04e166-bc57-46dc-a33b-d120622015af + c6487f3a-957c-4dc0-9ad1-1c7e89785626 + 1a0699ec-728f-4d5c-ac63-16306667120b + 7c0a0934-8289-47a0-b3bb-55187a18e850 + ab7eae8f-fda2-4b10-b284-a3a367e7bbb5 + c82a47b4-09f2-4505-bf49-68485889f195 + dd3874b1-a64f-4b2a-a29b-12cb278e881e + a6af5b65-d9e5-4705-b850-f1e26fdaf68a + 480c272f-7843-426f-a04e-5a5346efaa51 + 85 + 7d0e08b0-16cd-4c96-afee-4f49fb3a16a0 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 6d222cec-5efb-4cd1-a700-a3a04a704e6a + a1f3ac78-f4fe-4b00-bfda-3aee0db7bc60 + 0806a1f0-0c8a-4d08-8c3a-9148cca556a4 + acf248e9-58de-4927-b666-2e85b7bcd89b + e5536d41-c0e5-4c68-9efb-d6cb067ad353 + c23029ce-7c6c-4acb-8916-a300effb33da + 0f9763da-ce85-4edb-bd19-daa811d5ac2a + 1b52c30e-38eb-4b54-81c1-175c933929b5 + ce8a4e5b-9b06-4346-8eac-8abafe65eba2 + 96aeff2a-0486-418a-bb6f-efa7c70fc406 + 5b6edc87-710c-4778-b371-0572f76a6eea + 55e34e14-778f-4551-b0f6-e8048ee9ad94 + 9fb686ac-14c7-4630-8173-c477e863703d + c224342c-801f-4459-9224-44879ddf539f + 9c769439-ffcd-4cfb-950b-855f1c4a933b + 804efc16-4473-4cee-a45d-a43056b33935 + 8d4113ae-a157-4929-9f46-cd13f33c78ff + 9811c142-0f73-4ce7-a44a-409f6677caac + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 0d02c7f9-645d-4eff-aa8b-42044e536d9a + ca39bf69-1f22-4107-a155-1a412b05990d + 6dfa2e40-0b93-4d78-bfef-d1b0498ae063 + 6e32738f-b233-4380-b3f3-e003cdb73a30 + 5fc5e35b-f787-42c4-8dcc-f1adcf4ff668 + 46747f67-4428-487c-a7b2-b8d0cd6b7843 + 707358ec-acc2-4978-96df-dd2c5ef1712b + 3d2d5cc6-1866-4d03-aec5-a83e0a7fc247 + fc0a22ac-f8b8-4e1a-8cb9-411342529415 + a3a59315-e267-4aed-a39a-7268f8037e96 + 135c614d-28b6-42e1-a219-d63d1c92b406 + 1c683cd3-d178-40f6-af46-51830c911e87 + 828d389f-4f26-4fd5-9d27-1eab46d2dbc2 + b16c7be5-f1f6-4ee1-9aa3-eb466cc5a884 + f7b89038-5175-49ed-97f0-fee8f703ec8f + 88d97611-26d5-435e-85e1-fdc01e1ae443 + 36dbebc4-a3c4-4ff6-a03c-7eed77105921 + 235a8524-d28f-4b64-ac0c-a2c704f2e604 + 152ea8d2-dd91-4423-81d2-698f1b7be65a + 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 + 7cf7d828-280e-4457-ba22-1fc72d61b0c9 + 1b05147b-2872-4537-9a1b-888a55510d3d + 51fe0398-fd36-4ce9-85b2-6385fdf8b946 + c72da2af-8375-4f8b-a200-edaf292758da + 56cccad3-2219-440f-8577-8a25cce2f6f2 + 6630b57b-b7bb-4b55-956e-65c0add88eed + 59d3d0ec-df0f-4f6c-b8e0-9ff112c4c214 + 2e2e5360-9054-450f-b0d9-828af6d004a2 + 3c104a70-9abd-4da6-94c2-b50d2ed71e81 + e6da33ac-d80f-4c54-b680-eeeaba3ff614 + 421e1f40-1c39-41b5-9c1e-9d61ed50a5db + 7082e895-b111-4112-9e7a-5de8d7c7c95c + 9a13c0dc-bb24-4f72-9571-14bdd66675e2 + 52f49153-a197-410a-a02d-d440c32f4e97 + 6c787197-7373-48f6-b7b9-bd4e9712d98a + 6598a20f-173e-4b4d-b898-bc05449f7670 + d75a7971-0179-42aa-ac3f-88ee1bdbf459 + 728cb53a-2801-4767-9579-9c49d7aee2a0 + 8bf07c87-64b8-4f7d-aba2-4db12e7834d9 + ae6114a6-87aa-49b5-b01e-dc0db60731f7 + f83f0c0b-8580-47e9-9e4d-22fba721ab53 + 8f96ae32-b5d0-4ce8-bbff-8994e10e5d6d + ce4704df-7da3-42aa-b64f-e8f20157b818 + 1bdfd856-521c-417a-971c-0d51ccf78be5 + e3edc1b6-5051-47a2-b2b7-c3711c58cd4f + 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 + 7d55e7dc-f827-43b8-aa47-c9dd146598fd + dba667c8-74dc-4a1c-8c1d-1520ea051571 + 464914e0-2900-4dca-aa88-05c9526638e9 + 69873ce1-1baf-454a-99ee-7b63778fffc3 + 389fe958-f5ce-4018-a63d-256b87398808 + 69930a87-8a03-4408-ae2c-9567e94f0b7c + 6c3f0605-6ecc-4a04-a5cd-81072b39c4af + 0b55e68c-d601-4d71-a7f3-b1bff8c50ecb + 40543166-758e-4c68-bb76-3839522e6d80 + e5fb97f5-2ceb-41bd-94d3-482fef5e394a + 5c04e166-bc57-46dc-a33b-d120622015af + c6487f3a-957c-4dc0-9ad1-1c7e89785626 + 1a0699ec-728f-4d5c-ac63-16306667120b + 7c0a0934-8289-47a0-b3bb-55187a18e850 + 79 + 7fd79caf-0e14-4808-88d4-342224a4e1e3 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c6487f3a-957c-4dc0-9ad1-1c7e89785626 + 1 + 6d222cec-5efb-4cd1-a700-a3a04a704e6a + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 0806a1f0-0c8a-4d08-8c3a-9148cca556a4 + 1 + a1f3ac78-f4fe-4b00-bfda-3aee0db7bc60 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + acf248e9-58de-4927-b666-2e85b7bcd89b + 1 + 0806a1f0-0c8a-4d08-8c3a-9148cca556a4 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + e5536d41-c0e5-4c68-9efb-d6cb067ad353 + 1 + acf248e9-58de-4927-b666-2e85b7bcd89b + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + c23029ce-7c6c-4acb-8916-a300effb33da + 1 + e5536d41-c0e5-4c68-9efb-d6cb067ad353 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 0f9763da-ce85-4edb-bd19-daa811d5ac2a + 1 + c23029ce-7c6c-4acb-8916-a300effb33da + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + ce8a4e5b-9b06-4346-8eac-8abafe65eba2 + 1 + 0f9763da-ce85-4edb-bd19-daa811d5ac2a + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 1b52c30e-38eb-4b54-81c1-175c933929b5 + true + Curve + Curve + false + 0 + + + + + + 7574 + 21483 + 50 + 24 + + + 7599.518 + 21495.56 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 1b52c30e-38eb-4b54-81c1-175c933929b5 + 1 + ce8a4e5b-9b06-4346-8eac-8abafe65eba2 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a3a59315-e267-4aed-a39a-7268f8037e96 + 1 + 96aeff2a-0486-418a-bb6f-efa7c70fc406 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 55e34e14-778f-4551-b0f6-e8048ee9ad94 + 9fb686ac-14c7-4630-8173-c477e863703d + c224342c-801f-4459-9224-44879ddf539f + 9c769439-ffcd-4cfb-950b-855f1c4a933b + 804efc16-4473-4cee-a45d-a43056b33935 + 8d4113ae-a157-4929-9f46-cd13f33c78ff + 9811c142-0f73-4ce7-a44a-409f6677caac + bade2dc2-5919-4723-bde3-ebdd9bc0713a + ca39bf69-1f22-4107-a155-1a412b05990d + 0d02c7f9-645d-4eff-aa8b-42044e536d9a + 96aeff2a-0486-418a-bb6f-efa7c70fc406 + ce8a4e5b-9b06-4346-8eac-8abafe65eba2 + 7d55e7dc-f827-43b8-aa47-c9dd146598fd + dba667c8-74dc-4a1c-8c1d-1520ea051571 + 464914e0-2900-4dca-aa88-05c9526638e9 + 69873ce1-1baf-454a-99ee-7b63778fffc3 + 389fe958-f5ce-4018-a63d-256b87398808 + 69930a87-8a03-4408-ae2c-9567e94f0b7c + 1bdfd856-521c-417a-971c-0d51ccf78be5 + e3edc1b6-5051-47a2-b2b7-c3711c58cd4f + 20 + 5b6edc87-710c-4778-b371-0572f76a6eea + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 55e34e14-778f-4551-b0f6-e8048ee9ad94 + true + Duplicate Data + Duplicate Data + + + + + + 7547 + 22644 + 104 + 64 + + + 7606 + 22676 + + + + + + 1 + Data to duplicate + d17191a3-8cf7-4cdd-9a7a-873b3116691a + true + Data + Data + false + 4e078a63-85c7-41a6-bd1b-5e79f349625e + 1 + + + + + + 7549 + 22646 + 42 + 20 + + + 7571.5 + 22656 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 496388b0-3050-4d70-aaa7-02b565d26119 + true + Number + Number + false + 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 + 1 + + + + + + 7549 + 22666 + 42 + 20 + + + 7571.5 + 22676 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + 8fd7f3a7-6472-4242-b534-9a1ac53f36fd + true + Order + Order + false + 0 + + + + + + 7549 + 22686 + 42 + 20 + + + 7571.5 + 22696 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 80a18b86-c32d-4785-80b8-babca5c987f7 + true + Data + Data + false + 0 + + + + + + 7621 + 22646 + 28 + 60 + + + 7636.5 + 22676 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 9fb686ac-14c7-4630-8173-c477e863703d + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 7533 + 20716 + 116 + 44 + + + 7594 + 20738 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 300daab0-1c47-4f24-8f1e-532a6ec99e8b + true + Forward + Forward + true + 1 + true + 80a18b86-c32d-4785-80b8-babca5c987f7 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 7535 + 20718 + 44 + 20 + + + 7558.5 + 20728 + + + + + + + + 1 + false + Script Variable Left + 17206028-4db8-439b-af7f-36a1883f5082 + true + Left + Left + true + 1 + true + f3d645b5-0fac-4f20-a9f1-779c44fc248e + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 7535 + 20738 + 44 + 20 + + + 7558.5 + 20748 + + + + + + + + Print, Reflect and Error streams + 9209a52b-7a61-4ae2-a1a0-1895279448b6 + true + Output + Output + false + 0 + + + + + + 7609 + 20718 + 38 + 20 + + + 7629.5 + 20728 + + + + + + + + Output parameter Points + a61bb92d-8752-43bd-b0f3-9fe07f3d2ca7 + true + Points + Points + false + 0 + + + + + + 7609 + 20738 + 38 + 20 + + + 7629.5 + 20748 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 9c769439-ffcd-4cfb-950b-855f1c4a933b + true + Series + Series + + + + + + 7544 + 21973 + 101 + 64 + + + 7594 + 22005 + + + + + + First number in the series + 430e00ef-58a6-434d-b801-e76da3120453 + true + Start + Start + false + 0 + + + + + + 7546 + 21975 + 33 + 20 + + + 7564 + 21985 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 6f766805-4bdd-4435-a0e9-674f281196e3 + true + Step + Step + false + 5c04e166-bc57-46dc-a33b-d120622015af + 1 + + + + + + 7546 + 21995 + 33 + 20 + + + 7564 + 22005 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 8cb48179-9b4e-4e9d-b902-6fbd008cb5e3 + true + Count + Count + false + 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 + 1 + + + + + + 7546 + 22015 + 33 + 20 + + + 7564 + 22025 + + + + + + + + 1 + Series of numbers + 9067d090-92be-43ef-b7ee-1948343ee84a + true + Series + Series + false + 0 + + + + + + 7609 + 21975 + 34 + 60 + + + 7627.5 + 22005 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 804efc16-4473-4cee-a45d-a43056b33935 + true + Number Slider + + false + 0 + + + + + + 7532 + 22916 + 150 + 20 + + + 7532.197 + 22916.72 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 8d4113ae-a157-4929-9f46-cd13f33c78ff + true + Radians + Radians + + + + + + 7494 + 22215 + 120 + 28 + + + 7555 + 22229 + + + + + + Angle in degrees + 7823d213-2a69-43a5-88aa-8605f015f541 + true + Degrees + Degrees + false + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 1 + + + + + + 7496 + 22217 + 44 + 24 + + + 7519.5 + 22229 + + + + + + + + Angle in radians + 637ed566-807c-46f7-812d-f13415712d2f + true + Radians + Radians + false + 0 + + + + + + 7570 + 22217 + 42 + 24 + + + 7592.5 + 22229 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 9811c142-0f73-4ce7-a44a-409f6677caac + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 7472 + 22582 + 251 + 20 + + + 7472.408 + 22582.4 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + 0d02c7f9-645d-4eff-aa8b-42044e536d9a + true + Interpolate (t) + Interpolate (t) + + + + + + 7519 + 19951 + 144 + 84 + + + 7605 + 19993 + + + + + + 1 + Interpolation points + 02d0d648-fe9d-4b52-921d-97151ed427b7 + true + Vertices + Vertices + false + 30001983-c314-4c6c-88d3-45dee8332dbb + 1 + + + + + + 7521 + 19953 + 69 + 20 + + + 7557 + 19963 + + + + + + + + Tangent at start of curve + 20888d93-d5e1-42f8-b897-38e8046f5339 + true + Tangent Start + Tangent Start + false + 0 + + + + + + 7521 + 19973 + 69 + 20 + + + 7557 + 19983 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + 3a74e7ac-076e-4e54-aadf-5813a78da55a + true + Tangent End + Tangent End + false + 0 + + + + + + 7521 + 19993 + 69 + 20 + + + 7557 + 20003 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + c87cd040-006c-4315-9e33-7fb11cedebb1 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 7521 + 20013 + 69 + 20 + + + 7557 + 20023 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 9508e098-ef16-4c0d-be88-998ab5655a4c + true + Curve + Curve + false + 0 + + + + + + 7620 + 19953 + 41 + 26 + + + 7642 + 19966.33 + + + + + + + + Curve length + 35103367-48f6-4e56-b271-03e19ec0e187 + true + Length + Length + false + 0 + + + + + + 7620 + 19979 + 41 + 27 + + + 7642 + 19993 + + + + + + + + Curve domain + 252af1a6-d359-4d5a-888b-c50e668843e5 + true + Domain + Domain + false + 0 + + + + + + 7620 + 20006 + 41 + 27 + + + 7642 + 20019.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 55e34e14-778f-4551-b0f6-e8048ee9ad94 + 9fb686ac-14c7-4630-8173-c477e863703d + c224342c-801f-4459-9224-44879ddf539f + 9c769439-ffcd-4cfb-950b-855f1c4a933b + 804efc16-4473-4cee-a45d-a43056b33935 + 8d4113ae-a157-4929-9f46-cd13f33c78ff + 9811c142-0f73-4ce7-a44a-409f6677caac + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 0b55e68c-d601-4d71-a7f3-b1bff8c50ecb + b16c7be5-f1f6-4ee1-9aa3-eb466cc5a884 + ce4704df-7da3-42aa-b64f-e8f20157b818 + 6c3f0605-6ecc-4a04-a5cd-81072b39c4af + 40543166-758e-4c68-bb76-3839522e6d80 + 1db267cd-0509-41e9-a6a8-e8deb71f75d9 + 928fca06-febb-4fb7-aab8-93abe69f5560 + d0d4ab4a-e13c-4e54-8bf2-fdfe06c9fb13 + 16 + ca39bf69-1f22-4107-a155-1a412b05990d + Group + + + + + + + + + + + 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 + 6dfa2e40-0b93-4d78-bfef-d1b0498ae063 + true + Evaluate Length + Evaluate Length + + + + + + 7519 + 19783 + 144 + 64 + + + 7593 + 19815 + + + + + + Curve to evaluate + 21b6b0f6-c220-4995-b9e1-0813c1ebbf75 + true + Curve + Curve + false + 9508e098-ef16-4c0d-be88-998ab5655a4c + 1 + + + + + + 7521 + 19785 + 57 + 20 + + + 7551 + 19795 + + + + + + + + Length factor for curve evaluation + 031fa92f-df30-4014-86eb-6b48f621f5f0 + true + Length + Length + false + 0 + + + + + + 7521 + 19805 + 57 + 20 + + + 7551 + 19815 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + c93fb2d4-f320-4885-a4b6-4f98c9d5e34c + true + Normalized + Normalized + false + 0 + + + + + + 7521 + 19825 + 57 + 20 + + + 7551 + 19835 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 94262e80-8dd0-445b-82f7-4d5a4ea30cbf + true + Point + Point + false + 0 + + + + + + 7608 + 19785 + 53 + 20 + + + 7636 + 19795 + + + + + + + + Tangent vector at the specified length + 2cef40e5-8774-4d3f-b736-e2af82b1227e + true + Tangent + Tangent + false + 0 + + + + + + 7608 + 19805 + 53 + 20 + + + 7636 + 19815 + + + + + + + + Curve parameter at the specified length + a3e21184-562d-4b3d-91ff-ad865b3f39be + true + Parameter + Parameter + false + 0 + + + + + + 7608 + 19825 + 53 + 20 + + + 7636 + 19835 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 6e32738f-b233-4380-b3f3-e003cdb73a30 + true + Mirror + Mirror + + + + + + 7522 + 19721 + 138 + 44 + + + 7590 + 19743 + + + + + + Base geometry + 297ad678-36e1-4063-84c9-bed9809f2ce0 + true + Geometry + Geometry + true + 9508e098-ef16-4c0d-be88-998ab5655a4c + 1 + + + + + + 7524 + 19723 + 51 + 20 + + + 7551 + 19733 + + + + + + + + Mirror plane + d484ee32-483a-4ae8-94bc-a2536ec9c7bc + true + Plane + Plane + false + 0ce9c9df-40ef-46cb-85ac-7aa25e06b6e7 + 1 + + + + + + 7524 + 19743 + 51 + 20 + + + 7551 + 19753 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + fbe59d4b-fa47-4c41-9d13-7c73982c69a3 + true + Geometry + Geometry + false + 0 + + + + + + 7605 + 19723 + 53 + 20 + + + 7633 + 19733 + + + + + + + + Transformation data + a93274d2-c194-4c7a-bdd7-20377a0b466f + true + Transform + Transform + false + 0 + + + + + + 7605 + 19743 + 53 + 20 + + + 7633 + 19753 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 5fc5e35b-f787-42c4-8dcc-f1adcf4ff668 + true + Line SDL + Line SDL + + + + + + 7538 + 19867 + 106 + 64 + + + 7602 + 19899 + + + + + + Line start point + 10035cb2-c576-4150-8c6d-4aa8f587483e + true + Start + Start + false + 94262e80-8dd0-445b-82f7-4d5a4ea30cbf + 1 + + + + + + 7540 + 19869 + 47 + 20 + + + 7565 + 19879 + + + + + + + + Line tangent (direction) + 09b2a66b-84d1-493d-9a42-8ba243246987 + true + Direction + Direction + false + 2cef40e5-8774-4d3f-b736-e2af82b1227e + 1 + + + + + + 7540 + 19889 + 47 + 20 + + + 7565 + 19899 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 6df394dc-5be4-4cee-93da-7367c2de9fe1 + true + Length + Length + false + 0 + + + + + + 7540 + 19909 + 47 + 20 + + + 7565 + 19919 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 0ce9c9df-40ef-46cb-85ac-7aa25e06b6e7 + true + Line + Line + false + 0 + + + + + + 7617 + 19869 + 25 + 60 + + + 7631 + 19899 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 46747f67-4428-487c-a7b2-b8d0cd6b7843 + true + Join Curves + Join Curves + + + + + + 7532 + 19659 + 118 + 44 + + + 7595 + 19681 + + + + + + 1 + Curves to join + 61ad25ea-4890-4bd5-afd5-4eeb9bb0a980 + true + Curves + Curves + false + 9508e098-ef16-4c0d-be88-998ab5655a4c + fbe59d4b-fa47-4c41-9d13-7c73982c69a3 + 2 + + + + + + 7534 + 19661 + 46 + 20 + + + 7558.5 + 19671 + + + + + + + + Preserve direction of input curves + bdc69664-512f-487b-bc67-6c635792a4ce + true + Preserve + Preserve + false + 0 + + + + + + 7534 + 19681 + 46 + 20 + + + 7558.5 + 19691 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d + true + Curves + Curves + false + 0 + + + + + + 7610 + 19661 + 38 + 40 + + + 7630.5 + 19681 + + + + + + + + + + + + 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 + 707358ec-acc2-4978-96df-dd2c5ef1712b + true + Evaluate Length + Evaluate Length + + + + + + 7519 + 19575 + 144 + 64 + + + 7593 + 19607 + + + + + + Curve to evaluate + 3011e852-77c3-4103-9629-d5df735bf5ba + true + Curve + Curve + false + 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d + 1 + + + + + + 7521 + 19577 + 57 + 20 + + + 7551 + 19587 + + + + + + + + Length factor for curve evaluation + d7b4a83c-18e8-4ca9-b6cc-c1ecb7f19d4e + true + Length + Length + false + 0 + + + + + + 7521 + 19597 + 57 + 20 + + + 7551 + 19607 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 6328dc9a-a51e-4f46-8273-06e986795e15 + true + Normalized + Normalized + false + 0 + + + + + + 7521 + 19617 + 57 + 20 + + + 7551 + 19627 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 934b8427-0c04-45cc-a176-c79b7fc8bb71 + true + Point + Point + false + 0 + + + + + + 7608 + 19577 + 53 + 20 + + + 7636 + 19587 + + + + + + + + Tangent vector at the specified length + a7220f23-ed00-4b0a-8711-458051494285 + true + Tangent + Tangent + false + 0 + + + + + + 7608 + 19597 + 53 + 20 + + + 7636 + 19607 + + + + + + + + Curve parameter at the specified length + deaf69f1-0aeb-4ff5-b784-c37d014b861e + true + Parameter + Parameter + false + 0 + + + + + + 7608 + 19617 + 53 + 20 + + + 7636 + 19627 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 3d2d5cc6-1866-4d03-aec5-a83e0a7fc247 + true + Rotate + Rotate + + + + + + 7522 + 19492 + 138 + 64 + + + 7590 + 19524 + + + + + + Base geometry + 8cdecb19-f747-4c6d-9d1e-3f6041fa3034 + true + Geometry + Geometry + true + 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d + 1 + + + + + + 7524 + 19494 + 51 + 20 + + + 7551 + 19504 + + + + + + + + Rotation angle in radians + eaa68737-e697-4c3f-bccd-d9e30813ac7d + true + Angle + Angle + false + 0 + false + + + + + + 7524 + 19514 + 51 + 20 + + + 7551 + 19524 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 7edece2a-d919-41e4-8de1-198a40ff22dc + true + Plane + Plane + false + 934b8427-0c04-45cc-a176-c79b7fc8bb71 + 1 + + + + + + 7524 + 19534 + 51 + 20 + + + 7551 + 19544 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 1182dc2a-aaea-4fbf-a1fe-ea8d4113798d + true + Geometry + Geometry + false + 0 + + + + + + 7605 + 19494 + 53 + 30 + + + 7633 + 19509 + + + + + + + + Transformation data + 0b0b1a8f-3821-458b-9d92-6bb2bc09d32a + true + Transform + Transform + false + 0 + + + + + + 7605 + 19524 + 53 + 30 + + + 7633 + 19539 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + fc0a22ac-f8b8-4e1a-8cb9-411342529415 + true + Join Curves + Join Curves + + + + + + 7532 + 19429 + 118 + 44 + + + 7595 + 19451 + + + + + + 1 + Curves to join + 178a5c6c-80ee-43e5-979d-a516d56935ab + true + Curves + Curves + false + 52e645aa-7d1e-49c8-8c8f-bea3e1732d5d + 1182dc2a-aaea-4fbf-a1fe-ea8d4113798d + 2 + + + + + + 7534 + 19431 + 46 + 20 + + + 7558.5 + 19441 + + + + + + + + Preserve direction of input curves + 4f5132ae-16fb-4c4a-9408-97658a62b936 + true + Preserve + Preserve + false + 0 + + + + + + 7534 + 19451 + 46 + 20 + + + 7558.5 + 19461 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 6fda1002-bf75-4295-91e2-57271e487305 + true + Curves + Curves + false + 0 + + + + + + 7610 + 19431 + 38 + 40 + + + 7630.5 + 19451 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 0d02c7f9-645d-4eff-aa8b-42044e536d9a + 6dfa2e40-0b93-4d78-bfef-d1b0498ae063 + 6e32738f-b233-4380-b3f3-e003cdb73a30 + 5fc5e35b-f787-42c4-8dcc-f1adcf4ff668 + 46747f67-4428-487c-a7b2-b8d0cd6b7843 + 707358ec-acc2-4978-96df-dd2c5ef1712b + 3d2d5cc6-1866-4d03-aec5-a83e0a7fc247 + fc0a22ac-f8b8-4e1a-8cb9-411342529415 + 1c683cd3-d178-40f6-af46-51830c911e87 + 44b37048-c31c-4e55-aa4a-0a740586d36f + 9a96a98b-9d42-4cd5-9284-e3ec69b5d0ba + 30001983-c314-4c6c-88d3-45dee8332dbb + 9f95dc08-d6f9-4d10-a5dd-ef1fc47e0022 + c87e5f22-762f-485a-b818-05e9c603f0ea + ddb6fc0a-d855-4568-a2d9-a2271d2cdc89 + 15 + a3a59315-e267-4aed-a39a-7268f8037e96 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 135c614d-28b6-42e1-a219-d63d1c92b406 + true + Panel + + false + 0 + c72da2af-8375-4f8b-a200-edaf292758da + 1 + Double click to edit panel content… + + + + + + 7525 + 22068 + 145 + 20 + + 0 + 0 + 0 + + 7525.938 + 22068.91 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 1c683cd3-d178-40f6-af46-51830c911e87 + true + Curve + Curve + false + 6fda1002-bf75-4295-91e2-57271e487305 + 1 + + + + + + 7574 + 19396 + 50 + 24 + + + 7599.518 + 19408.47 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1c683cd3-d178-40f6-af46-51830c911e87 + 1 + 828d389f-4f26-4fd5-9d27-1eab46d2dbc2 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b16c7be5-f1f6-4ee1-9aa3-eb466cc5a884 + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 7380 + 22305 + 439 + 20 + + 0 + 0 + 0 + + 7380.498 + 22305.6 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + f7b89038-5175-49ed-97f0-fee8f703ec8f + true + Evaluate Length + Evaluate Length + + + + + + 7519 + 19303 + 144 + 64 + + + 7593 + 19335 + + + + + + Curve to evaluate + 35af2178-0d51-4a1f-825d-b3d9ed5efab6 + true + Curve + Curve + false + 6fda1002-bf75-4295-91e2-57271e487305 + 1 + + + + + + 7521 + 19305 + 57 + 20 + + + 7551 + 19315 + + + + + + + + Length factor for curve evaluation + 7807ac5f-6891-46f7-b0d3-a191d9633399 + true + Length + Length + false + 0 + + + + + + 7521 + 19325 + 57 + 20 + + + 7551 + 19335 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 3058ccb8-c18f-4716-a520-7530b08fc5e9 + true + Normalized + Normalized + false + 0 + + + + + + 7521 + 19345 + 57 + 20 + + + 7551 + 19355 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + afdeb27a-cb06-4fce-8d04-973ffb5ced6d + true + Point + Point + false + 0 + + + + + + 7608 + 19305 + 53 + 20 + + + 7636 + 19315 + + + + + + + + Tangent vector at the specified length + 76a71cf1-cdcc-4cc9-b2be-8098b6eb2168 + true + Tangent + Tangent + false + 0 + + + + + + 7608 + 19325 + 53 + 20 + + + 7636 + 19335 + + + + + + + + Curve parameter at the specified length + 3f9b874e-df35-4fc1-85bc-8361293efd48 + true + Parameter + Parameter + false + 0 + + + + + + 7608 + 19345 + 53 + 20 + + + 7636 + 19355 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 88d97611-26d5-435e-85e1-fdc01e1ae443 + true + Expression + Expression + + + + + + 7494 + 19081 + 194 + 28 + + + 7594 + 19095 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 164d026b-9f2c-48ea-aadc-46f1f28f42ab + true + Variable O + O + true + 23fe09ff-a145-40b0-a164-7d25b3eab274 + 1 + + + + + + 7496 + 19083 + 14 + 24 + + + 7504.5 + 19095 + + + + + + + + Result of expression + d459a91c-bc84-49c4-ab09-1c25aee006d6 + true + Result + + false + 0 + + + + + + 7677 + 19083 + 9 + 24 + + + 7683 + 19095 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 36dbebc4-a3c4-4ff6-a03c-7eed77105921 + true + Deconstruct + Deconstruct + + + + + + 7525 + 19215 + 132 + 64 + + + 7572 + 19247 + + + + + + Input point + 31552fb1-ba2d-4773-95f2-16293e7e1b6e + true + Point + Point + false + afdeb27a-cb06-4fce-8d04-973ffb5ced6d + 1 + + + + + + 7527 + 19217 + 30 + 60 + + + 7543.5 + 19247 + + + + + + + + Point {x} component + 23fe09ff-a145-40b0-a164-7d25b3eab274 + true + X component + X component + false + 0 + + + + + + 7587 + 19217 + 68 + 20 + + + 7622.5 + 19227 + + + + + + + + Point {y} component + c76dbffb-3ad9-4777-b237-d91767fe372a + true + Y component + Y component + false + 0 + + + + + + 7587 + 19237 + 68 + 20 + + + 7622.5 + 19247 + + + + + + + + Point {z} component + d825a26e-1046-43c4-aa72-ec8009512657 + true + Z component + Z component + false + 0 + + + + + + 7587 + 19257 + 68 + 20 + + + 7622.5 + 19267 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 235a8524-d28f-4b64-ac0c-a2c704f2e604 + true + Panel + + false + 0 + d459a91c-bc84-49c4-ab09-1c25aee006d6 + 1 + Double click to edit panel content… + + + + + + 7518 + 19062 + 160 + 20 + + 0 + 0 + 0 + + 7518.289 + 19062.05 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 152ea8d2-dd91-4423-81d2-698f1b7be65a + true + Expression + Expression + + + + + + 7494 + 18995 + 194 + 28 + + + 7594 + 19009 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + ee77447c-d43a-4ecc-b02d-01a82efdf9e4 + true + Variable O + O + true + c76dbffb-3ad9-4777-b237-d91767fe372a + 1 + + + + + + 7496 + 18997 + 14 + 24 + + + 7504.5 + 19009 + + + + + + + + Result of expression + ac4cc66d-7dae-4cf6-a661-a1ec65427859 + true + Result + + false + 0 + + + + + + 7677 + 18997 + 9 + 24 + + + 7683 + 19009 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 + true + Panel + + false + 0 + ac4cc66d-7dae-4cf6-a661-a1ec65427859 + 1 + Double click to edit panel content… + + + + + + 7518 + 18973 + 160 + 20 + + 0 + 0 + 0 + + 7518.289 + 18973.63 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 7cf7d828-280e-4457-ba22-1fc72d61b0c9 + true + Division + Division + + + + + + 7550 + 18893 + 82 + 44 + + + 7581 + 18915 + + + + + + Item to divide (dividend) + 7e0dac2d-59c3-4ed8-85fc-83891c9743e8 + true + A + A + false + 235a8524-d28f-4b64-ac0c-a2c704f2e604 + 1 + + + + + + 7552 + 18895 + 14 + 20 + + + 7560.5 + 18905 + + + + + + + + Item to divide with (divisor) + 3eabd983-4c97-47f2-b6a8-c03868b2bd3b + true + B + B + false + 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 + 1 + + + + + + 7552 + 18915 + 14 + 20 + + + 7560.5 + 18925 + + + + + + + + The result of the Division + df8201ba-ce81-4d42-8a3c-95286d5a881c + true + Result + Result + false + 0 + + + + + + 7596 + 18895 + 34 + 40 + + + 7614.5 + 18915 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1b05147b-2872-4537-9a1b-888a55510d3d + true + Panel + + false + 0 + c72da2af-8375-4f8b-a200-edaf292758da + 1 + Double click to edit panel content… + + + + + + 7518 + 18826 + 160 + 20 + + 0 + 0 + 0 + + 7518.527 + 18826.12 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 51fe0398-fd36-4ce9-85b2-6385fdf8b946 + true + Expression + Expression + + + + + + 7494 + 18846 + 194 + 28 + + + 7594 + 18860 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f372874c-f8d1-4176-831a-a15011ca750e + true + Variable O + O + true + df8201ba-ce81-4d42-8a3c-95286d5a881c + 1 + + + + + + 7496 + 18848 + 14 + 24 + + + 7504.5 + 18860 + + + + + + + + Result of expression + 0b7c9268-5511-409e-a1e0-df53778058fd + true + Result + + false + 0 + + + + + + 7677 + 18848 + 9 + 24 + + + 7683 + 18860 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c72da2af-8375-4f8b-a200-edaf292758da + true + Relay + + false + 0b7c9268-5511-409e-a1e0-df53778058fd + 1 + + + + + + 7571 + 18771 + 40 + 16 + + + 7591 + 18779 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 56cccad3-2219-440f-8577-8a25cce2f6f2 + true + Addition + Addition + + + + + + 7550 + 18708 + 82 + 44 + + + 7581 + 18730 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + e9a280bc-b029-4e39-b507-bb08a166b4c0 + true + A + A + true + 7658cd8b-a1b4-4e74-a5f0-4701d8468b92 + 1 + + + + + + 7552 + 18710 + 14 + 20 + + + 7560.5 + 18720 + + + + + + + + Second item for addition + 41071ba3-f34a-4bb7-bb6e-fdf43b31056b + true + B + B + true + 235a8524-d28f-4b64-ac0c-a2c704f2e604 + 1 + + + + + + 7552 + 18730 + 14 + 20 + + + 7560.5 + 18740 + + + + + + + + Result of addition + 9c043701-2a90-4a63-9cef-403638fe3802 + true + Result + Result + false + 0 + + + + + + 7596 + 18710 + 34 + 40 + + + 7614.5 + 18730 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 6630b57b-b7bb-4b55-956e-65c0add88eed + true + Division + Division + + + + + + 7550 + 18558 + 82 + 44 + + + 7581 + 18580 + + + + + + Item to divide (dividend) + ec124671-51c1-4da6-8abc-521102851a7b + true + A + A + false + 3c104a70-9abd-4da6-94c2-b50d2ed71e81 + 1 + + + + + + 7552 + 18560 + 14 + 20 + + + 7560.5 + 18570 + + + + + + + + Item to divide with (divisor) + 42484507-1d9b-48a8-8c25-96ac0939b2e2 + true + B + B + false + 0 + + + + + + 7552 + 18580 + 14 + 20 + + + 7560.5 + 18590 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + 911cfeb2-6a07-49cc-a933-bb0786740e72 + true + Result + Result + false + 0 + + + + + + 7596 + 18560 + 34 + 40 + + + 7614.5 + 18580 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 59d3d0ec-df0f-4f6c-b8e0-9ff112c4c214 + true + Expression + Expression + + + + + + 7494 + 18510 + 194 + 28 + + + 7594 + 18524 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7279fd2f-28fe-41f7-8502-60affce70d57 + true + Variable O + O + true + 911cfeb2-6a07-49cc-a933-bb0786740e72 + 1 + + + + + + 7496 + 18512 + 14 + 24 + + + 7504.5 + 18524 + + + + + + + + Result of expression + bf59cde7-344a-4f58-bbe4-9b2580c56796 + true + Result + + false + 0 + + + + + + 7677 + 18512 + 9 + 24 + + + 7683 + 18524 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 2e2e5360-9054-450f-b0d9-828af6d004a2 + true + Panel + + false + 0 + bf59cde7-344a-4f58-bbe4-9b2580c56796 + 1 + Double click to edit panel content… + + + + + + 7518 + 18489 + 160 + 20 + + 0 + 0 + 0 + + 7518.289 + 18489.97 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3c104a70-9abd-4da6-94c2-b50d2ed71e81 + true + Panel + + false + 0 + f4e0f3a1-e1f8-431f-84a9-4d78e4bc8f8b + 1 + Double click to edit panel content… + + + + + + 7518 + 18641 + 160 + 20 + + 0 + 0 + 0 + + 7518.289 + 18641.88 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e6da33ac-d80f-4c54-b680-eeeaba3ff614 + true + Expression + Expression + + + + + + 7494 + 18661 + 194 + 28 + + + 7594 + 18675 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + a6328d19-9311-48e2-8c98-8e81db0e6c07 + true + Variable O + O + true + 9c043701-2a90-4a63-9cef-403638fe3802 + 1 + + + + + + 7496 + 18663 + 14 + 24 + + + 7504.5 + 18675 + + + + + + + + Result of expression + f4e0f3a1-e1f8-431f-84a9-4d78e4bc8f8b + true + Result + + false + 0 + + + + + + 7677 + 18663 + 9 + 24 + + + 7683 + 18675 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 421e1f40-1c39-41b5-9c1e-9d61ed50a5db + true + Scale + Scale + + + + + + 7514 + 18387 + 154 + 64 + + + 7598 + 18419 + + + + + + Base geometry + 753f0a2f-fe50-45cd-afcb-b9c4fbcc38c3 + true + Geometry + Geometry + true + 1c683cd3-d178-40f6-af46-51830c911e87 + 1 + + + + + + 7516 + 18389 + 67 + 20 + + + 7559 + 18399 + + + + + + + + Center of scaling + eedce016-66e6-411c-8961-84bb286f2a5c + true + Center + Center + false + 0 + + + + + + 7516 + 18409 + 67 + 20 + + + 7559 + 18419 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 39471cdf-88cf-4030-bd4e-190a6f77e3fb + 1/X + true + Factor + Factor + false + 2e2e5360-9054-450f-b0d9-828af6d004a2 + 1 + + + + + + 7516 + 18429 + 67 + 20 + + + 7559 + 18439 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 59788862-a115-4256-a5f1-2c1ae9fd45bf + true + Geometry + Geometry + false + 0 + + + + + + 7613 + 18389 + 53 + 30 + + + 7641 + 18404 + + + + + + + + Transformation data + f5640de2-0d2f-4a1a-940f-d4ac31e6f717 + true + Transform + Transform + false + 0 + + + + + + 7613 + 18419 + 53 + 30 + + + 7641 + 18434 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 7082e895-b111-4112-9e7a-5de8d7c7c95c + true + Curve + Curve + false + 59788862-a115-4256-a5f1-2c1ae9fd45bf + 1 + + + + + + 7572 + 17795 + 50 + 24 + + + 7597.268 + 17807.47 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 9a13c0dc-bb24-4f72-9571-14bdd66675e2 + true + Expression + Expression + + + + + + 7494 + 19168 + 194 + 28 + + + 7594 + 19182 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 038349da-4897-4e80-989c-41c774aa0843 + true + Variable O + O + true + d825a26e-1046-43c4-aa72-ec8009512657 + 1 + + + + + + 7496 + 19170 + 14 + 24 + + + 7504.5 + 19182 + + + + + + + + Result of expression + 96dbc9e9-a90a-4927-9815-5d217f633697 + true + Result + + false + 0 + + + + + + 7677 + 19170 + 9 + 24 + + + 7683 + 19182 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 52f49153-a197-410a-a02d-d440c32f4e97 + true + Panel + + false + 0 + 96dbc9e9-a90a-4927-9815-5d217f633697 + 1 + Double click to edit panel content… + + + + + + 7519 + 19147 + 160 + 20 + + 0 + 0 + 0 + + 7519.158 + 19147.82 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 6c787197-7373-48f6-b7b9-bd4e9712d98a + true + Evaluate Length + Evaluate Length + + + + + + 7519 + 18177 + 144 + 64 + + + 7593 + 18209 + + + + + + Curve to evaluate + 4a06683b-84e6-4ce8-b99f-6e87affe5e54 + true + Curve + Curve + false + 59788862-a115-4256-a5f1-2c1ae9fd45bf + 1 + + + + + + 7521 + 18179 + 57 + 20 + + + 7551 + 18189 + + + + + + + + Length factor for curve evaluation + 646f9e67-d82f-4303-97bd-13b8d7a6549a + true + Length + Length + false + 0 + + + + + + 7521 + 18199 + 57 + 20 + + + 7551 + 18209 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + cf5edd30-b60b-4687-91f0-8350199a19c3 + true + Normalized + Normalized + false + 0 + + + + + + 7521 + 18219 + 57 + 20 + + + 7551 + 18229 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + d158ff9d-7623-445c-b059-6258d9873e6c + true + Point + Point + false + 0 + + + + + + 7608 + 18179 + 53 + 20 + + + 7636 + 18189 + + + + + + + + Tangent vector at the specified length + 289d42f7-11bd-45d9-8e36-43f6212646e7 + true + Tangent + Tangent + false + 0 + + + + + + 7608 + 18199 + 53 + 20 + + + 7636 + 18209 + + + + + + + + Curve parameter at the specified length + 5d16361b-f464-420e-9706-0a866da381f8 + true + Parameter + Parameter + false + 0 + + + + + + 7608 + 18219 + 53 + 20 + + + 7636 + 18229 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 6598a20f-173e-4b4d-b898-bc05449f7670 + true + Expression + Expression + + + + + + 7494 + 17960 + 194 + 28 + + + 7594 + 17974 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 43341800-f14c-4adb-901e-69667ac91f0f + true + Variable O + O + true + 303beb65-d916-4a32-80ee-54ecb0c01173 + 1 + + + + + + 7496 + 17962 + 14 + 24 + + + 7504.5 + 17974 + + + + + + + + Result of expression + c0e5fd91-ab85-4934-8739-5c6d2ab5fbd7 + true + Result + + false + 0 + + + + + + 7677 + 17962 + 9 + 24 + + + 7683 + 17974 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + d75a7971-0179-42aa-ac3f-88ee1bdbf459 + true + Deconstruct + Deconstruct + + + + + + 7525 + 18094 + 132 + 64 + + + 7572 + 18126 + + + + + + Input point + b347279b-39f8-4150-b21e-06923c9928f7 + true + Point + Point + false + d158ff9d-7623-445c-b059-6258d9873e6c + 1 + + + + + + 7527 + 18096 + 30 + 60 + + + 7543.5 + 18126 + + + + + + + + Point {x} component + 303beb65-d916-4a32-80ee-54ecb0c01173 + true + X component + X component + false + 0 + + + + + + 7587 + 18096 + 68 + 20 + + + 7622.5 + 18106 + + + + + + + + Point {y} component + 1871c037-74d8-425d-97d1-e0b523c62524 + true + Y component + Y component + false + 0 + + + + + + 7587 + 18116 + 68 + 20 + + + 7622.5 + 18126 + + + + + + + + Point {z} component + ac1a1dd9-a6f1-42fc-8ed8-1f1dc751a6cf + true + Z component + Z component + false + 0 + + + + + + 7587 + 18136 + 68 + 20 + + + 7622.5 + 18146 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 728cb53a-2801-4767-9579-9c49d7aee2a0 + true + Panel + + false + 0 + c0e5fd91-ab85-4934-8739-5c6d2ab5fbd7 + 1 + Double click to edit panel content… + + + + + + 7518 + 17935 + 160 + 20 + + 0 + 0 + 0 + + 7518.539 + 17935.4 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 8bf07c87-64b8-4f7d-aba2-4db12e7834d9 + true + Expression + Expression + + + + + + 7494 + 17874 + 194 + 28 + + + 7594 + 17888 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 29d58b74-5f3b-4041-a997-b60382bd9fec + true + Variable O + O + true + 1871c037-74d8-425d-97d1-e0b523c62524 + 1 + + + + + + 7496 + 17876 + 14 + 24 + + + 7504.5 + 17888 + + + + + + + + Result of expression + d7bce812-39f3-4d48-b8fc-0c073a6a9af3 + true + Result + + false + 0 + + + + + + 7677 + 17876 + 9 + 24 + + + 7683 + 17888 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ae6114a6-87aa-49b5-b01e-dc0db60731f7 + true + Panel + + false + 0 + d7bce812-39f3-4d48-b8fc-0c073a6a9af3 + 1 + Double click to edit panel content… + + + + + + 7518 + 17849 + 160 + 20 + + 0 + 0 + 0 + + 7518.549 + 17849.77 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + f83f0c0b-8580-47e9-9e4d-22fba721ab53 + true + Expression + Expression + + + + + + 7494 + 18046 + 194 + 28 + + + 7594 + 18060 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 1602e22c-9254-40c0-aabc-302a3b843656 + true + Variable O + O + true + ac1a1dd9-a6f1-42fc-8ed8-1f1dc751a6cf + 1 + + + + + + 7496 + 18048 + 14 + 24 + + + 7504.5 + 18060 + + + + + + + + Result of expression + c0844f1a-890d-48a5-b4bd-ab8b6f4f6568 + true + Result + + false + 0 + + + + + + 7677 + 18048 + 9 + 24 + + + 7683 + 18060 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8f96ae32-b5d0-4ce8-bbff-8994e10e5d6d + true + Panel + + false + 0 + c0844f1a-890d-48a5-b4bd-ab8b6f4f6568 + 1 + Double click to edit panel content… + + + + + + 7518 + 18021 + 160 + 20 + + 0 + 0 + 0 + + 7518.289 + 18021.62 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ce4704df-7da3-42aa-b64f-e8f20157b818 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 7409 + 22376 + 379 + 104 + + 0 + 0 + 0 + + 7409.947 + 22376.06 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1bdfd856-521c-417a-971c-0d51ccf78be5 + true + Panel + + false + 0 + fda4edfd-fd26-4b31-ae4f-131c5263e87b + 1 + Double click to edit panel content… + + + + + + 7430 + 20385 + 337 + 276 + + 0 + 0 + 0 + + 7430.479 + 20385.39 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e3edc1b6-5051-47a2-b2b7-c3711c58cd4f + true + Expression + Expression + + + + + + 7494 + 20668 + 194 + 28 + + + 7594 + 20682 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 3c6507cd-fbe9-41e6-8ede-85eabab1b06b + true + Variable O + O + true + a61bb92d-8752-43bd-b0f3-9fe07f3d2ca7 + 1 + + + + + + 7496 + 20670 + 14 + 24 + + + 7504.5 + 20682 + + + + + + + + Result of expression + fda4edfd-fd26-4b31-ae4f-131c5263e87b + true + Result + + false + 0 + + + + + + 7677 + 20670 + 9 + 24 + + + 7683 + 20682 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 7582 + 22875 + 50 + 24 + + + 7607.248 + 22887.02 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 7d55e7dc-f827-43b8-aa47-c9dd146598fd + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 7422 + 20950 + 160 + 224 + + + 7490 + 21062 + + + + + + 1 + One or multiple graph curves to graph map values with + 03ef97c0-2b10-4607-b2f8-501154796b25 + true + Curves + Curves + false + a5b887d8-746e-4a70-9ef8-8936bfedafae + 1 + + + + + + 7424 + 20952 + 51 + 27 + + + 7451 + 20965.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + f5644fd1-9e73-4c6c-979c-aa4b22aee85a + true + Rectangle + Rectangle + false + dde8bb55-a063-41c2-9ee4-6e8ac92a8032 + 1 + + + + + + 7424 + 20979 + 51 + 28 + + + 7451 + 20993.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + 24bd7645-3816-403f-bb6b-b43c729bf530 + true + Values + Values + false + 9067d090-92be-43ef-b7ee-1948343ee84a + 1 + + + + + + 7424 + 21007 + 51 + 27 + + + 7451 + 21020.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 10846f42-7201-45f6-a4da-55ed6a0973d0 + true + X Axis + X Axis + true + 0 + + + + + + 7424 + 21034 + 51 + 28 + + + 7451 + 21048.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 589f176f-9a8c-4cef-8d5f-99d03d7deb93 + true + Y Axis + Y Axis + true + 0 + + + + + + 7424 + 21062 + 51 + 27 + + + 7451 + 21075.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + b48f3723-e0d3-4efd-a6e0-13cfdf65a74a + true + Flip + Flip + false + 0 + + + + + + 7424 + 21089 + 51 + 28 + + + 7451 + 21103.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + 206d2a25-9cfe-4493-a5b9-0c343b61c334 + true + Snap + Snap + false + 0 + + + + + + 7424 + 21117 + 51 + 27 + + + 7451 + 21130.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + 5c5d9b17-3ce7-4526-be19-428d0d33e982 + true + Text Size + Text Size + false + 0 + + + + + + 7424 + 21144 + 51 + 28 + + + 7451 + 21158.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + cecb00b6-8035-4ef8-996e-9b223f6c361d + true + Mapped + Mapped + false + 0 + + + + + + 7505 + 20952 + 75 + 20 + + + 7544 + 20962 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 14c46740-3e52-4641-a50c-c6ee71f200bf + true + Graph Curves + Graph Curves + false + 0 + + + + + + 7505 + 20972 + 75 + 20 + + + 7544 + 20982 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + e0437c01-a11d-4c84-8a4e-aefffd5f5703 + true + Graph Points + Graph Points + false + 0 + + + + + + 7505 + 20992 + 75 + 20 + + + 7544 + 21002 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + 92e7dd7c-3de7-4a37-bb3c-89c5e7027a82 + true + Value Lines + Value Lines + false + 0 + + + + + + 7505 + 21012 + 75 + 20 + + + 7544 + 21022 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + b5806344-b199-44ae-adfc-a00aa48deec5 + true + Value Points + Value Points + false + 0 + + + + + + 7505 + 21032 + 75 + 20 + + + 7544 + 21042 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + e34ba579-7cd5-488e-9cb3-2f02ca16d714 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 7505 + 21052 + 75 + 20 + + + 7544 + 21062 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + 30e7f18d-9dbf-49ef-825b-ad58d84ee6bc + true + Mapped Points + Mapped Points + false + 0 + + + + + + 7505 + 21072 + 75 + 20 + + + 7544 + 21082 + + + + + + + + The graph boundary background as a surface + 4387d49f-0230-4385-9795-983189e2dbb9 + true + Boundary + Boundary + false + 0 + + + + + + 7505 + 21092 + 75 + 20 + + + 7544 + 21102 + + + + + + + + 1 + The graph labels as curve outlines + fce90d81-fdc5-47bb-b481-cca9c1e4f9df + true + Labels + Labels + false + 0 + + + + + + 7505 + 21112 + 75 + 20 + + + 7544 + 21122 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + bcfbe363-6402-451f-86c0-3a50c4bdfff2 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 7505 + 21132 + 75 + 20 + + + 7544 + 21142 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 330a5a37-f9d9-422f-a3d0-711593704cff + true + Intersected + Intersected + false + 0 + + + + + + 7505 + 21152 + 75 + 20 + + + 7544 + 21162 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + dba667c8-74dc-4a1c-8c1d-1520ea051571 + true + End Points + End Points + + + + + + 7543 + 21375 + 96 + 44 + + + 7593 + 21397 + + + + + + Curve to evaluate + d50bb5c3-7eb4-4033-8bf0-e71f9c817ecb + true + Curve + Curve + false + a5b887d8-746e-4a70-9ef8-8936bfedafae + 1 + + + + + + 7545 + 21377 + 33 + 40 + + + 7563 + 21397 + + + + + + + + Curve start point + a3cf7f15-c35c-4958-a4fb-60f39818ec7c + true + Start + Start + false + 0 + + + + + + 7608 + 21377 + 29 + 20 + + + 7624 + 21387 + + + + + + + + Curve end point + 61bae804-51f8-4a41-97c9-81b80c560ab5 + true + End + End + false + 0 + + + + + + 7608 + 21397 + 29 + 20 + + + 7624 + 21407 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 464914e0-2900-4dca-aa88-05c9526638e9 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 7533 + 21247 + 126 + 84 + + + 7591 + 21289 + + + + + + Rectangle base plane + 9bceac1a-793e-4b63-a008-d5874c65a4f7 + true + Plane + Plane + false + 0 + + + + + + 7535 + 21249 + 41 + 20 + + + 7557 + 21259 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 23405188-ff32-4c02-b2ff-ad84da00c7d7 + true + Point A + Point A + false + a3cf7f15-c35c-4958-a4fb-60f39818ec7c + 1 + + + + + + 7535 + 21269 + 41 + 20 + + + 7557 + 21279 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 44ee55c5-4700-4c7e-8871-f779dcd3f27d + true + Point B + Point B + false + 61bae804-51f8-4a41-97c9-81b80c560ab5 + 1 + + + + + + 7535 + 21289 + 41 + 20 + + + 7557 + 21299 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 12f2185c-7a34-423f-a82b-16ad009c01a6 + true + Radius + Radius + false + 0 + + + + + + 7535 + 21309 + 41 + 20 + + + 7557 + 21319 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + dde8bb55-a063-41c2-9ee4-6e8ac92a8032 + true + Rectangle + Rectangle + false + 0 + + + + + + 7606 + 21249 + 51 + 40 + + + 7633 + 21269 + + + + + + + + Length of rectangle curve + 286e6a6e-c183-499a-9460-f9abc11bf2fc + true + Length + Length + false + 0 + + + + + + 7606 + 21289 + 51 + 40 + + + 7633 + 21309 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + 69873ce1-1baf-454a-99ee-7b63778fffc3 + true + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 7582 + 21070 + 126 + 104 + + + 7649 + 21122 + + + + + + External curve as a graph + e3b67a48-8111-4e2a-98a6-2739ce26a10c + true + Curve + Curve + false + a5b887d8-746e-4a70-9ef8-8936bfedafae + 1 + + + + + + 7584 + 21072 + 50 + 20 + + + 7610.5 + 21082 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 1977b298-e616-44b0-9ea0-6fe0bb14759b + true + Boundary + Boundary + true + dde8bb55-a063-41c2-9ee4-6e8ac92a8032 + 1 + + + + + + 7584 + 21092 + 50 + 20 + + + 7610.5 + 21102 + + + + + + + + 1 + List of input numbers + 6876b9a3-df56-4a29-975f-07ac85234d39 + true + Numbers + Numbers + false + 9067d090-92be-43ef-b7ee-1948343ee84a + 1 + + + + + + 7584 + 21112 + 50 + 20 + + + 7610.5 + 21122 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 4fbda31f-b42e-47b3-a05d-ff6f28de6fbb + true + Input + Input + true + 1e5255b4-ca0a-4711-90ae-f0766891699b + 1 + + + + + + 7584 + 21132 + 50 + 20 + + + 7610.5 + 21142 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 2c8f194b-f7a9-4b01-a381-7714146e35f7 + true + Output + Output + true + 1e5255b4-ca0a-4711-90ae-f0766891699b + 1 + + + + + + 7584 + 21152 + 50 + 20 + + + 7610.5 + 21162 + + + + + + + + 1 + Output Numbers + e0c9fb70-227d-4b96-97e4-784cdd542951 + true + Number + Number + false + 0 + + + + + + 7664 + 21072 + 42 + 100 + + + 7686.5 + 21122 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 389fe958-f5ce-4018-a63d-256b87398808 + true + Stream Filter + Stream Filter + + + + + + 7557 + 20867 + 89 + 64 + + + 7602 + 20899 + + + + + + 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 + 24a713ea-7dc6-40d0-a72d-51d02742226c + true + Gate + Gate + false + 106a93b0-0601-48d7-b498-a6b907cb491a + 1 + + + + + + 7559 + 20869 + 28 + 20 + + + 7574.5 + 20879 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 69c38839-7eea-451d-80a8-f92b7e2dde1e + true + false + Stream 0 + 0 + true + cecb00b6-8035-4ef8-996e-9b223f6c361d + 1 + + + + + + 7559 + 20889 + 28 + 20 + + + 7574.5 + 20899 + + + + + + + + 2 + Input stream at index 1 + a261929b-b801-4c46-b48e-84d5cc21f24f + true + false + Stream 1 + 1 + true + e0c9fb70-227d-4b96-97e4-784cdd542951 + 1 + + + + + + 7559 + 20909 + 28 + 20 + + + 7574.5 + 20919 + + + + + + + + 2 + Filtered stream + f3d645b5-0fac-4f20-a9f1-779c44fc248e + true + false + Stream + S(1) + false + 0 + + + + + + 7617 + 20869 + 27 + 60 + + + 7632 + 20899 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 69930a87-8a03-4408-ae2c-9567e94f0b7c + true + Number Slider + + false + 0 + + + + + + 7534 + 20789 + 150 + 20 + + + 7534.908 + 20789.99 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6c3f0605-6ecc-4a04-a5cd-81072b39c4af + true + Panel + + false + 1 + ea6ce031-2da6-4f84-b7a5-56e154d99385 + 1 + Double click to edit panel content… + + + + + + 7508 + 21572 + 185 + 271 + + 0 + 0 + 0 + + 7508.979 + 21572.27 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 0b55e68c-d601-4d71-a7f3-b1bff8c50ecb + true + Bounds + Bounds + + + + + + 7532 + 21514 + 122 + 28 + + + 7596 + 21528 + + + + + + 1 + Numbers to include in Bounds + 66480d3d-7d34-44f8-ae28-f780cca89bb8 + true + Numbers + Numbers + false + 9067d090-92be-43ef-b7ee-1948343ee84a + 1 + + + + + + 7534 + 21516 + 47 + 24 + + + 7559 + 21528 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 1e5255b4-ca0a-4711-90ae-f0766891699b + true + Domain + Domain + false + 0 + + + + + + 7611 + 21516 + 41 + 24 + + + 7633 + 21528 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 40543166-758e-4c68-bb76-3839522e6d80 + true + Expression + Expression + + + + + + 7494 + 21928 + 194 + 28 + + + 7594 + 21942 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f388a59f-eeaa-4f9f-a5ba-638cee1380db + true + Variable O + O + true + 9067d090-92be-43ef-b7ee-1948343ee84a + 1 + + + + + + 7496 + 21930 + 14 + 24 + + + 7504.5 + 21942 + + + + + + + + Result of expression + ea6ce031-2da6-4f84-b7a5-56e154d99385 + true + Result + + false + 0 + + + + + + 7677 + 21930 + 9 + 24 + + + 7683 + 21942 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + e5fb97f5-2ceb-41bd-94d3-482fef5e394a + true + Expression + Expression + + + + + + 7408 + 22160 + 367 + 28 + + + 7594 + 22174 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e497c6fc-03b0-41cf-94e6-a2f6e711b397 + true + Variable O + O + true + 637ed566-807c-46f7-812d-f13415712d2f + 1 + + + + + + 7410 + 22162 + 14 + 24 + + + 7418.5 + 22174 + + + + + + + + Result of expression + 491f1856-dea3-47a7-98e8-1f38d63f7688 + true + Result + + false + 0 + + + + + + 7764 + 22162 + 9 + 24 + + + 7770 + 22174 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 5c04e166-bc57-46dc-a33b-d120622015af + true + Panel + + false + 0 + 491f1856-dea3-47a7-98e8-1f38d63f7688 + 1 + Double click to edit panel content… + + + + + + 7509 + 22109 + 179 + 20 + + 0 + 0 + 0 + + 7509.117 + 22109.13 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7082e895-b111-4112-9e7a-5de8d7c7c95c + 1 + c6487f3a-957c-4dc0-9ad1-1c7e89785626 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 1a0699ec-728f-4d5c-ac63-16306667120b + true + Scale + Scale + + + + + + 7514 + 18302 + 154 + 64 + + + 7598 + 18334 + + + + + + Base geometry + d1bbec8e-dc1e-4fbe-9f3c-5dedabd1ac21 + true + Geometry + Geometry + true + 30001983-c314-4c6c-88d3-45dee8332dbb + 1 + + + + + + 7516 + 18304 + 67 + 20 + + + 7559 + 18314 + + + + + + + + Center of scaling + 1bcdeef3-6e3c-4b0d-ac53-75fd34403efd + true + Center + Center + false + 0 + + + + + + 7516 + 18324 + 67 + 20 + + + 7559 + 18334 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + e9f28d44-9a1b-4493-887a-a41ac09cfa8f + 1/X + true + Factor + Factor + false + 2e2e5360-9054-450f-b0d9-828af6d004a2 + 1 + + + + + + 7516 + 18344 + 67 + 20 + + + 7559 + 18354 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + aa10e8f5-5ad6-4906-8d82-a67597ae045a + true + Geometry + Geometry + false + 0 + + + + + + 7613 + 18304 + 53 + 30 + + + 7641 + 18319 + + + + + + + + Transformation data + 4790e0c1-d97f-479d-b527-17a9caa9c539 + true + Transform + Transform + false + 0 + + + + + + 7613 + 18334 + 53 + 30 + + + 7641 + 18349 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 7c0a0934-8289-47a0-b3bb-55187a18e850 + true + Point + Point + false + aa10e8f5-5ad6-4906-8d82-a67597ae045a + 1 + + + + + + 7573 + 18273 + 50 + 24 + + + 7598.268 + 18285.65 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + ab7eae8f-fda2-4b10-b284-a3a367e7bbb5 + true + Mirror + Mirror + + + + + + 7519 + 17502 + 138 + 44 + + + 7587 + 17524 + + + + + + Base geometry + a4702bed-c268-4ea2-97a6-f6a3346e2cc3 + true + Geometry + Geometry + true + 7082e895-b111-4112-9e7a-5de8d7c7c95c + 1 + + + + + + 7521 + 17504 + 51 + 20 + + + 7548 + 17514 + + + + + + + + Mirror plane + 91377831-431c-42d0-a726-a1ae118e65d9 + true + Plane + Plane + false + 0 + + + + + + 7521 + 17524 + 51 + 20 + + + 7548 + 17534 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 5739075c-340c-4c72-ae5a-0f65a773f9f8 + true + Geometry + Geometry + false + 0 + + + + + + 7602 + 17504 + 53 + 20 + + + 7630 + 17514 + + + + + + + + Transformation data + 66838ca7-4628-40cf-89b2-f0d29bd82b8d + true + Transform + Transform + false + 0 + + + + + + 7602 + 17524 + 53 + 20 + + + 7630 + 17534 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c82a47b4-09f2-4505-bf49-68485889f195 + true + Curve + Curve + false + eb6cdc92-153b-407b-a04c-3de1dc55eb93 + 1 + + + + + + 7572 + 17404 + 50 + 24 + + + 7597.518 + 17416.65 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a5b887d8-746e-4a70-9ef8-8936bfedafae + true + Relay + + false + 1c443774-20bf-43a6-bfdd-0965796750c4 + 1 + + + + + + 7571 + 21446 + 40 + 16 + + + 7591 + 21454 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9df09ad9-dcf8-427e-b9df-be18605e028e + true + Curve + Curve + false + 07c1ea70-9f34-4cb2-9732-c0811f7a89a4 + 1 + + + + + + 7121 + 21831 + 50 + 24 + + + 7146.313 + 21843.6 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 1c443774-20bf-43a6-bfdd-0965796750c4 + true + Curve + Curve + false + 3fdd8382-a423-4413-b749-ed0066a0de11 + 1 + + + + + + 7121 + 21549 + 50 + 24 + + + 7146.414 + 21561.93 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 932ae951-9b07-48f7-b357-e5d8f9d2f9a9 + true + Scale + Scale + + + + + + 7062 + 21579 + 154 + 64 + + + 7146 + 21611 + + + + + + Base geometry + 99f37123-363c-4829-9d14-c91c8f0f022b + true + Geometry + Geometry + true + 9df09ad9-dcf8-427e-b9df-be18605e028e + 1 + + + + + + 7064 + 21581 + 67 + 20 + + + 7107 + 21591 + + + + + + + + Center of scaling + 8b31dc17-2efa-4eff-93cc-b12744ce0b61 + true + Center + Center + false + 0 + + + + + + 7064 + 21601 + 67 + 20 + + + 7107 + 21611 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + b9b3f36d-25f0-45bd-bb89-db9fb4b19f4f + 2^X + true + Factor + Factor + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 7064 + 21621 + 67 + 20 + + + 7107 + 21631 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + 3fdd8382-a423-4413-b749-ed0066a0de11 + true + Geometry + Geometry + false + 0 + + + + + + 7161 + 21581 + 53 + 30 + + + 7189 + 21596 + + + + + + + + Transformation data + 6e6b47bf-3832-429f-9bde-baaeb49a203e + true + Transform + Transform + false + 0 + + + + + + 7161 + 21611 + 53 + 30 + + + 7189 + 21626 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9df09ad9-dcf8-427e-b9df-be18605e028e + 1c443774-20bf-43a6-bfdd-0965796750c4 + 932ae951-9b07-48f7-b357-e5d8f9d2f9a9 + 27899f96-8899-44d3-a06c-50d23c4c5623 + 9f1cdcbb-80df-41d8-af5b-78cf23360689 + e2cb120f-5b44-48a4-b3b6-aa9cb7214f81 + f543f7a5-c350-4099-80ea-5df138f96ddc + 2a6c9856-3283-42b9-ad0d-b196a81f7300 + 9e0ce62b-127c-4d18-bb00-e332cc94cdd6 + 2a8104db-2b14-4f9d-818b-f57b27a43158 + 10 + 6ecf204f-19ca-4f1b-8a1f-9c37f1b6643c + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + dd3874b1-a64f-4b2a-a29b-12cb278e881e + true + Move + Move + + + + + + 7519 + 17438 + 138 + 44 + + + 7587 + 17460 + + + + + + Base geometry + ef3b6713-0301-41ea-8e69-85385924a914 + true + Geometry + Geometry + true + 7082e895-b111-4112-9e7a-5de8d7c7c95c + 1 + + + + + + 7521 + 17440 + 51 + 20 + + + 7548 + 17450 + + + + + + + + Translation vector + e0139871-b442-4ee7-8ec2-2994830bfb01 + true + Motion + Motion + false + c662a3f5-c686-480e-a9f6-c0e87c370038 + 1 + + + + + + 7521 + 17460 + 51 + 20 + + + 7548 + 17470 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 3 + 0 + + + + + + + + + + + + Translated geometry + eb6cdc92-153b-407b-a04c-3de1dc55eb93 + true + Geometry + Geometry + false + 0 + + + + + + 7602 + 17440 + 53 + 20 + + + 7630 + 17450 + + + + + + + + Transformation data + f156a45f-a667-464c-a0ac-4bc67b275a41 + true + Transform + Transform + false + 0 + + + + + + 7602 + 17460 + 53 + 20 + + + 7630 + 17470 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 9f1cdcbb-80df-41d8-af5b-78cf23360689 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 30.9312132004 + + + + + + 7021 + 21775 + 250 + 20 + + + 7021.713 + 21775.02 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e2cb120f-5b44-48a4-b3b6-aa9cb7214f81 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 7078 + 21674 + 144 + 20 + + 0 + 0 + 0 + + 7078.873 + 21674.63 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + f543f7a5-c350-4099-80ea-5df138f96ddc + true + Curve + Curve + false + 0 + + + + + + 7121 + 21506 + 50 + 24 + + + 7146.414 + 21518.93 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + zNx7PBR9/PD/dahURCpJJR1JJaTSSftGKJESodRGoRNCJSUrKqmkkiixRVJKiwoJ6xRyPp9Z57N0UFLyW9f1vubT/f0+7n9+f93+6HnNa2Z2Z2dmZz6XBY2PRqON8r7GHPsS5uf9s2eXzRFbOw27EyfsbJfLGB92cDxiZ7tprYLSKgVlpVUqqrz/UFRUWi6jceq40ymHw5tsD59ycjh4fLmMwSmL40csdQ+f3W137LDtptWrlZVVlQ6vW2u5dvXq1asUx409i+Q/D66gfdjuxGEnh7MKBnbHz2qccjh9WJA3c8Lpf59s0kEHS5sjpw+vOnRiop39YVvbUw4WjoKHDjodHFtISEiIf2w7xWRpNGWed35PFp4owPsP0bF/yj1pNP5hN35ajue/r+nXKD9tOr4+blmlvnZX6dSUNpqYB9+CgeeD8l6/efNv4bJigrT/+TWw+X+lf3vK/yzj/tcyivR/paM6qAF9bANHZP73Bs6a+mr/zsllU1P+/LuB26TOzhzbwExcVkwAFxzbUIH/Dtv/n439X+v+zy82PhYHzUaL0DK0Cq1DuWgz2oq2o51oN9qL9m/+P1/DZ/QL+hX9hg6i39Ef6BD6Ex1Gf6G/0RH0Dzr6376j//MvE6Xx4TRK48dplCaA0yhNEKdR2jicRmnjcRqlTcBplCaE0yhtIk6jtEk4jdIm4zRKE8ZplCaC0yhtCk6jNFGcRmli/0pHmSgHpU3F+SgT5aA0cZyPMlEOSpuG81EmykFp03E+ykQ5KG0GzkeZKAelSeB8lIlyUNpMnI8yUQ5Kk8T5KBPloLRZOB9lohyUJoXzUSbKQWmzcT7KRDkobQ7OR5koB6XNxfkoE+WgNGmcjzJRDkqbh/NRJspBaTL/KoPSUQbKRFkoB+WitPm4PkpHGSgTZaEclIvSFuD6KB1loEyUhXJQLkpbiOujdJSBMlEWykG5KG0Rro/SUQbKRFkoB+WitMW4PkpHGSgTZaEclIvSluD6KB1loEyUhXJQLkqTxfVROspAmSgL5aBclCaH66N0lIEyURbKQbkobSmuj9JRBspEWSgH5aI0eVwfpaMMlImyUA7KRWnLcH2UjjJQJspCOSgXpS3H9VE6ykCZKAvloFyUtgLXR+koA2WiLJSDclGaAq6P0lEGykRZKAflorSVuD5KRxkoE2WhHJSLUoMW4v8eZ5Cvfc6iAmXGKvA/u7fKPUG1i/ogfWvS4sAV49X+6zf+6fthWO0Ird16YfJ/3dr6pEdUkxV03ZW0FR6n/j+Wt4WffOJTfAoY1PKVzIY0q6mOsPozw8dlnxu1vM0/j3MaBtnBeRHqD6nlf+oJan6PdgHuo/iFTdsTqeWv/fP4F6D4bb//W+dqankfkbvN6kvdIWZ5rGdn+g+1//N5PUALNGebL5egxlXzvsmGev/0hPNTft6WZqtQ47Aj/2zPZTjyUTPVRM+QWp5d886yJMcLLq6bUWXM70At/+uf7fSG2l7advd8X2p59VS9RVL3r8MV5dH3cWavqOX/3T8+sP3MUUudLx+p3m1o/0VxtS8sZMuZtF2oI8v/87puweME9skt/p1UV8xKKNk99zbE61fcdRr6QvXSf17vHXi5neZ3dOMvqp9aLxDrPM4Ppm5JHNXz56f/16f9sx/8wLu+LUzZTojqr19uvxPUdxf27i7ZHbhKlOr6/+wff4grHh4/+8w0qvfI+Dtyyu+BWUzVq4aymVS/+M9+C4AzU7ZWn4yfQ/WZfo2GrUmBYMJnuf/etPlUf/bP/rwPwVbKOWunLaL66glLVYTCH0D9Yr2tWeayVOdwxvZzEGg3cIe/DMpTXcPFYfpyn4dQ9lB62LpBgeoZq8b2fzC4azyI7rquRPVNfYnfdpwOgRjX5UtPlq+iusk/x4UFVYtrP8tsW0P1KeyL3eteseCaVUrgjl5VqicLjx2vR5B35HOUYdIGqh898rRGN/QRpJheTfFIViP7/8PYcXwMGuzC5Q+G6FSPXZD30fzeY5hX9mTcwUh1qhu4jR3fULi0wjBazVmT6m21A+/sroXCxeKW040HtKjuqDp23MNgcbnlw34LHar/8psR6e4WBhf0Go/NvLiN6s6fx86HMHi4w2LpuOTtVO/XW//gjuMT8BkYmmM5cwfV9z0fO0+eAPtxpZZtlgHVE8cfuPbEOhxuRusc9BHfRfUZlmPnTzjYvjJytz5hSHVGise5uL1PoTjcc9uOqt1UD5k9dl49hc2P9zIeGBpTvehMxLGcHRGg9oJh9ahxD9UHS8fOtwgwKpxFiztvSvWJivl7azWegbCESLHSsr1UF7k+dh4+gzZvznnrnn1UH+34rNu39jkcUn0X/jJpP9VbNMbOz+dwbTr95/KdDKrHhEhsHF0WCe9X5fE1bT9I9eO/5HjnbSRMdMtInrvLguyHPRuWT5V5AbG/evimHLSk+uOYsfP5BdBejXtYd/YQ1SWnMOYsnP4SlgeXHXwddJgcryNj5/lLcCuYvYCTY0X1pAxP4dVCUbB2S/AreT4bqnfNGzv/o+D2hHl10hpHqP7d5dlvrd9RUCN18GzWzaPk9ZaPvS9ewTZPWdMdHceo/lqxoNdk4BXM37par2nrCaqzt4y9X9gQYasnGxFnS46Lw1nb1Q5smOgauM9a0p7qS1lj7yM2GDnv7k6pIX1r/jUrtV42VC5LWPz18Umq7xn2472/omGl1LMzEicdqL5DNni/tlU0DGeO27p5iyPVlXePve+ioTaaze8xz4nqI0y2sQE3GmwZ10R+jJIe+3Ls/RgDRrvPlLDbT5HHr0nTNzWLAQUx43eZpaepXjJ+7H0aAwESExV0s85QfcOqci2LshhQ7D7pb5zqTPWrB8bev7EQIOKwbyT1LNUTrnWoHdOPhSMCPZ27c1yonh839r6OBR395DCHynNUT2v5ucYpOxYK7POHjvWep3qg6Nj7/TUE9P3UMxa6QHWdDcIrXdVfg672YhHtZW5Ur7Mauw68hk3MgMJn8kyy/29Ly15+/xra9Nze6qSTfitp7PrwGrry4z55H3Cnekyn4ryba97Ag9SYledGSY+aNnbdeANburnyi0IvUt1dTWNmAPsNrJ0Ye9d3mwfV5Y+MXU/eQFJj4KLcQdKf3jESfST/FuRWjr/eEOZJ9cGk/bzrzFtIi7dhlu+5RHXJTusJz8PeQsMm5bfvplym+njxsevPW8hwK20KyCE9c4PLaIx0HKRsTopz8bpCdYPDY9elOFiymdF7VNeLbI/P9R+JAXGwbvMKFSfxq1TPjrvLu17FgR7fXY1H9aRHc4M/ZYjHw3MtocLfL7ypfmDi2HUsHsKKfnjfYl6jepFSdEf+9XhwYZQtO2pynerjzMaub/FwOW6K1S2VG1T/7Z7eWDE+Acbfm9k/dYYP2f/P8njXvQTYyTng/P0n6TLF5ZWNzAR4/m1PwtaWm1TXHWrgXQ8TIMolXvmajS/VleZ1FnYOJ0B96o2A2CbSc7eMXSffwUXFQzYLzW9RXfr4cNZnp3egLev0u7GG9Pm3BXjXz3eQN/57VL/ZbaqXxQlzhvvfQeLKBTW760lXrZ/Bu64mQgy/UtVMiztU1+KfFy9wJBH2cs0ENnWR/mfJ2PU2EUyXVr3JcfCjOkNXiS3ckgj6ak1b0/+Qbmm3nncdfg9tblGzVt64S/UpdzQiZpi/h7f6zm7i0v5UN367nXd9fg9Ok8+UO0STrlZtxJKufA+vJVpOGWnfo3rar/2863YSLCj+9i6lkfT6uTYBsjuTYP+D1j9vXQKo7rf5JO96ngRTKrof0CUDqV7NcPFVzE2C4qbNvQfjSX/t7sG7zieD/rw522T23qf6nMfXvdZtSYYFn+JE3WkPqC6Sdpd3/U+GoWjde1cjSPduCmaqpyTD4WzRDZsNg6h+kxbBuy8kg+SdjUZPaQ+pPn1etLPuuhR44TCJnsUmXWrTO979IgUys6KNwiyDqR5ilm6/OzYF+L8eHdCYFUJ11pk83n0kBfiMbI9GFpM+6ePR11ESHFCVHZ5ir8Wi+ugeO979hQMDIfdjHJ+Q/rLNUTHWkAMjGSp6LeMeUX2GozPvvsMB9ofWa6nWpK+gub6I8+WAYfmH2VNzSR+57s67H3Fg0/wfz8pWPqa666zLcu/zOZBQc6tlij/pL5548+5THJipHHsqbYT0G0o3wziTUuHZnjMiX6xCyf5JusO7f6VC4rnhPaxi0g10AmQytVMhuMCEv2hTGNVVSoN497VUeMSMSvCIJP2d+aOgHM9UmJY2c1my1BOqd3c84d3vUkEjnS1w8Rrp708+lyxITQXX13cHikdIV/wVxbsPpoL4h+Zg9slwqm/xjPUr+ZMKBnKvE2U6SP8uHM+7P6aBx+Ql3xbtf0qWv/terHJDGgyH7B5MqSB9xdxU3n0zDQQl9h3/ZhBB9VdhmddrndOg56HJ+Mw80j8s+8i7n6aBgI2Vvcq2Z1S3iykQ4r5JA9+wR3u25JD+SrWUd59Ng06PJUeGtz6nuktypWfrlzTYuWbqLuM80ss16nj333SQ6nVN2WsQSfZPNpfWtTIdfMu99otUkC6n18a7L6cDbaF+3QnzF1SfV9x1vu94OsQIdre5tZMeuLufd79Oh8HnznJaJ19S3b/yy9DnZ+kgoSWxM32E9OlmP3j38XQwH98oPHwtiupT6n45fW/nLT/nk1Df7FdUv2JO493fM+B6nMWX4Jekn24Q/Dy8MAOuCC7bcFWGTfW6/RN59/0MsGN9kVl8jPS3DSInRhkZEK4t4R72lnSB/eK88UAG7BRfFCMkEE31lDqJLoHgDPCTfD7J0ID0drPZvHECrzusafIMJv1M1bzDQrUZcFp1z/WQPtJPGi3ijR8ywPzifYuwTTFULyiWaxKWzAQ7G593fj6k++qt4I0rMqGYP7X7JJf0yGwl86lGmRB2hLN106pYcrw01vDGG5kg/EZKYegy6X/er6+ecTsTlEfM+0NrSV+6ZjNvHJIJKmaSTaD0murPozSMpAozYV1r5b7SK6S7LNHhjU8y4WCsfLxpI+kPH24vlhb+AKWNwVsr1r6hutD0nbxxywdgu6dZb7tF+vurRnoLt34AqeiFR+J6SI//Y8obz3wA1csGYdLab6n+1WF/juzlD7BoVqWdeyjp9u0WvHHOBxC+uGVBEy2O7AdT6y3L0z/AxOql4psPkC6Ve4w3/vkAGmvE/YOSSdfYaJ+qSMuCiujrgr+k46nOeuHEGxdlQael7Ou9TNKXzDm7afWmLAg6ZP8rpZn0Jm9X3ngpC0TyBhWXaiVQPXXIPWGdSxYcjtkSGfCc9KzDl3njqCzefb+fIyr2juqfir1Xq8Vlwfp9rtk3T5O+ftNN3vgqC37tcJeUaiA96OmdaPVvWbBgodcEtlYi1SWnBvDGXdlQ0Devdxeb9Odng1ZoK2XD/OyKOYKz31Ndv4nFG49lw9qP6wcyLpP+R/vJM13bbFglXPPe/yvpcS+f8cZp2bAmXL3a5WAS1V3EoxYbRGaDKZs/yKGI9E2nY3jjt2xIVY/Y60ZPpjqt+u2j3Z3ZcP1Uqu3jaNI56xN547ocKGXULatfmEL10w9S5pouzoHEOVe6FO+RPu9XOm+8lwPRXFm3wnEcqr83zQ40t8gB+1UWDD866epxebxxYA5E3k5I7zhHOnta8QyLkBw4OenU7o9xpI+zK+eND3OgJLw2aeM30tfmVN+yqsuBakeVyM1KqVTXWtDAGzfmQKDrh6xSW9IVXZpFjs36CLOLqpJ/viC9q6idN578CA5nYjbE9JDusqTnqp3xR4hwu981Ip9G9UKXT7xx5kfI+1bpWH+U9E/5X8c53fkI/c3Rl3ZGkl42b0jje/RHkDS2+2jWS/oZ+9/uzkUfYa/Znr6fK9KpXpJC441LP0LaL3bgSnvSO0TG/TkvkgtmWukuv2NIf2E2kTdezYWVWuUbDn4nfX64iIv7tlwwmqDgtX99BtU3DEzljWNzIf/u9MmDF0j/rSrx/dKVXIgaKbRbnEG6OVOKN77NBZru04MDEzOpbvJB2sE7IxcKrjZdMzYgvXvSQt64NxfkPmQGmtwjXUxftt+HLw8khB+s+dFAesbNZbzxcB5EWEeIrJL9QLancOXRO2p50NKq8lHYnvSkKSq8cXIe1Ny8MvNSAulDuqrt987lgb9TBytIIIvq0Vc28sbPeSAT8mDqbn3S61LpFkHxecCc3TP9RSDp54c1eePqPCgZnGP8pI10d6WtDazBPPi8zplJV86m+mcrPd54Ox88vmlsvuBG+vv7O82eKOeD4cqsTQfySe/JM+KNw/Oh/I+ObOvsHKofGTGteGaXD292iD0VOUa62vL9vPF5Pvx+fMim7h3p+0wtdkW9yIdJBtckdk7+SPV0TyveuD0fwjjF+47vI/1o1NGCmK58uKFm3a4QRbpehS1vPF8Acu49+wNpuVS3/u2wLW5JAex8Zmb/wpD0GJkzvHF+AZzLKPho85R0eY1zHxItC0A248aEwl+k3xK4cF/cuQAydt8Uu6SSR3VnSzfe/xcUwPqZn91+G5C+33pn0qgbP/O/6f+HfhDif3/w8e8zoTKoIkpHDVAGao8yUV+UhbJRDlqEctGB/54fv5kshsqgiigdNUAZqD3KRH1RFspGOWgRykUH/vsmtjI+PyqDKqJ01ABloPYoE/VFWSgb5aBFKBcdQGn4TXMxVAZVROmoAcpA7VEm6ouyUDbKQYtQLjrw3zfrVfD5URlUEaWjBigDtUeZqC/KQtkoBy1CuegASluNz4/KoIooHTVAGag9ykR9URbKRjloEcpFB1AafjghhsqgiigdNUAZqD3KRH1RFspGOWgRykUH/vtQZC0+PyqDKqJ01ABloPYoE/VFWSgb5aBFKBcdQGn4IYwYKoMqonTUAGWg9igT9UVZKBvloEUoFx3478Ofdfj8qAyqiNJRA5SB2qNM1BdloWyUgxahXHQApa3H50dlUEWUjhqgDNQeZaK+KAtloxy0COWiAygNP+wSQ2VQRZSOGqAM1B5lor4oC2WjHLQI5aID/33IthGfH5VBFVE6aoAyUHuUifqiLJSNctAilIsOoLRN+PyoDKqI0lEDlIHao0zUF2WhbJSDFqFcdACl4YeKYqgMqojSUQOUgdqjTNQXZaFslIMWoVx04L8PMzfj86MyqCJKRw1QBmqPMlFflIWyUQ5ahHLRAZT6qU3i2Djj/zaw2ZvOtD1yvQBeVu/65HiC9MsXPdQ5rAJo2VUV+iCcdKuQK0z1lALoabIU4B8h3fzdteSM+gLQMlq/RXx3PtWdSm/+1vpdAIcTZxTlRpIe2n1nfY5UIXDG131dIVhA9e7Re8666wrhgMSt8armpOtMC3qbv6cQupTv7ut6S3rCIta3HacLgSGesA2mFlKdrhKmXOJXCNN0Xy3efJz0Uoiw3x1bCEaXlNWbs0g/q/ciqqK4EJazXIenixdRfcUedq/JQCF4aR/M8aaT7rzS7O6JCUUQFCWjusuO9H3K+15HSRTBXgPJz0eDSddV2V/6aXER+ISHBZflk75+NeOL4uoikFy2oMdnhHTF1RZTHTSLQMCkjxm4opjqi1UOKcYaFoHMU4tJ38xJX6BsteObRRF4325QCvYhfe5KG9vVDkUw3S/p0b2Uv/qyozdOuxdB8uJ9gtwB0ucsOf4izrcIzqVKCJ5ZUEKWl7HNHQopgqVNW3X37f6rz7LvXveqCCr+7PS8eZl06akOE88lF4Gl3zVTsYS/upCT3Pv8IsibbXiqoYf0OX9OaY/UFcGPKeMu/pQupfrsr2es1HqLoLNjZOnBXaRLdJy95ParCNxk7s+ccZl0sZpzYZxJxZCovGZw+jvSx+e5pvNJFYNHgMIJRj/pv9+7NasvLYby3MalPxaUUb3/hTufp2oxhGmFl1ftIb3ugYdMpnYxVF1skBp3g/SMq5c2j99TDPuHW0PPpZH+8vSV/dpWxbBVVmL2xiHSb1pcdfU6VQwWHgXyWgrlVLfVuxaU41kM8V5HXQMPka6z9kbiJL9iUIrWSlr9gPQ5MjdrdEOL4cPpFD+pEtL7Jtz6eT2mGI4ZKkVpT6yg+rv+25IFqcUgmjoU+55OunuZ31rR4mIIXedgcNaZdM0Ef2MDbjEsXTu8wpVN+mhQwKlbn4rh1Kq+71mdpMe53fcr+VMMtyKeGpnOr6T60YNBsdOmlICT2OVvimakS6oHl+yeWwIT2lpd9e+QnjKf9fnu8hJQZckEReeRbkl7LFa5oQQE39/9aTq+iup8DaErJXVLwCSGRdemk37/3RN9U7MSWDnycPZZF9JX+j89cf9ICZyR6Fb59Jr0ZPtn12udS2Cpc9OaZ59I37otMnKOVwksC+LmhstXUz1/wcuP5vdK4PRvjeCOw6QbDEd1BYeXwLRpNibHHpFeUMQW4r4pgTLTZ2FK9aRrh8fIzs8sgdRth1asn1VD9USX11oWZSWQdmAwyNOI9JX6bw+HtpRAo3jCQ7HbpN+Xifds/VICPfWTa+oLSB//JSF0MX8pjKzf9rtnci3V7dIS06ymlsLX0KKo9VtJL7+V1PRUphQ+3v71IOcy6WsYKbSulaVwxF3WNiCD9IAVqfPkN5dCZRe7MJy/jurff6apHdMvhR9bvh39RifdODPD/IV5KeSJ6ncz3UiPufnhfN/xUoBUqSHdZNJFTLMfKJwvBXrZWzWjEdKPzf/4zu5aKdSmXbAJ2lhP9Q+dudXs+6XQPb5w3vzzpC98lT/0+Vkp2EoJirYkks50Kpy5KqEUjM+4cJt+kc5VLV7jlF0Kj+75qM3d2EB1+F1i9KayFDYMBpX6nSc9NLnM6Xt7KYhN4t+mk0T6ZGbFnbXfS0HOQGr72j+kn6ZXxTiPK4NjoO55cHMj1VtHq4sTppdB8Z6KoA9M0vck1w4MLyyDnSKr6FZppBeeqxfduKoMek+YCcvwc6mup9qo4KpeBtHS+zqXLiS9+CtXL3lnGXwt337VQJP0fVHNx0cZZfC8yCzjzmHS+61br9HtyyBf97Xt18ukX5Vpf+7uVgYHPK+Y20WQvqKqIyfNpwyM4/itJnwkvcanq1MguAwi5+82T+wh/bZmz4QtL8tgL+255DWRJqrv/tm75PL7MjD3VT5xeiXpC172b8nK5b2uKXMUXXeS/vvAwCGh2jIwiPdbE+JIevPULx5bu8tg5cePRnV3Sa9M+/rY+2cZGLn3WqjEk17nMJiaK1QOMVJyq57WkP5p/g+usGQ5aJRGPlAZIX1a0dConmw5TOh8crJuXjPVtV2HpW+uKYfBu5reweqk+yz9valoSzkISb1953KY9I6ykX1TjcpBLVquyt6L9N1uo+d2HSqHGwEf45iRpJfJ8T2448h7fOGPCs8LSD9azP+u7GI5HNc1Eu/7TLrEWcHqGbfLYcD3/tqtM1qoXj1v/JDxo3I4L5XtmKxK+uvMCTMD2OUwabFw0PZ9pD8/OnFNdUo5POjzu/TVjfS4KZONpArLYW6077jYUNKbo4Wd9jaUQ+CLFZ+9s0hfvHvKnaC+cqDNvT/3XA/pVwZFY+p/l4PRZkGGh2gr1cf7Ty2WFq4AH4P7N0JXkR66etrAgdkVEH7D+1ztHtIZZdNFH8lXwP1VAqPy50nf7CCh0LyuAo64KffdYpG+SVRSb+HWChgXpTVbLJN0i8hZxw+ZVMCp3yf2P+ki/anW7GtPrCvg+dOKazuntFFdvGnO8/bTFfCkN8p5+irSw1ykc2QvV8ABocXDfXtIPzBNptPmbgVUrbVuqz9POj1y/oTnYbztiQ8VbX1E+jb1hUt6YiugNVNIn5ZF+oWqRVuWp1eAQ3DGKeVe0rknlhw6UVIBzy6M2+cytZ3qJ/jlPKKaKuBy6M/yyjWky/svffxpoAIEthXGb9tH+vSly1IVaZUw59Xr6hJ30hUTl3NPilZCoWiViP1T0s9tVxiNka4E8WfW8gvySR+pWyn9bUUldMbdEuz6Qjr7uNKm1ZsqQeus58kMyQ6qB/xS3nd6eyUsk7fVeq1GetxVlXNxeyvh9gRXk/hDpE+Zueb+0NFKcNZvPF/kTXpw6NqEdS6VUL0h3es3m3TrleuqXK5WwkvhPTs3VpJ+4t36H4kBlTA4kh15c4T0V5obJUaeVsLz7donvi/sJPuhYNNqtbhKyFpNO2a/jfRPxpt3u32oBN3v811G7En/3EB35JRXwsrcGruH90hXsVK/zddWCQ6fTeYbJJOe0KsRrf6tEkTCP1rOaCP9ssOWIg+BKvi9eL9w3+Quqvv/0PqUIV4Fm6JgoEKZ9E/ndKaMX1AF+edCW0tMSb81unWFtlIVPMmNTuYyST9/UXe7F70K0mruG9IiSH8tqHcsZ0cVzGu/7qxUSLrqZX3vSQeqIEn+Lb/Td9KFJxg807WtgjttmllZc7uprnBlZ/Z11yoINrR+sHwL6Y/HG3bkX6+Cxmjd3Y+Pk3700u7xokFVoLtJJkvOj/RLAsaLDSKroFV5Wk5KIunfmXs0b72rgkeFu1Zat5CePGJiWZJTBR4GIoXSk3uo3njW7OK0al7/Yu/arky62eDeR7s7eY/zJVI02Yx0JXtzzt0fVVBxo9fsyUXSLbv3N1aMrwYZvoMqQc9J/27J+DNTohrOXV178nEJ6V11B+eaLq6GVsvg9rhh0jcZWW68r1INe/LTj9Qt6KX617xDe2s1qqGAv6JQVJd0MU0rlzmG1aADAv07HUm/9c460NyiGtIyzwY+fkD6ecUj8cEnq2FdvvVTvgzSC58crWxkVkOY369e217SfaSOf5fxrYZJppabu6f3Uf2dz4kZFiHVYL4n39FxE+m7+O1UQqOqgZVnfWCSFel7T9kbtiZVQ94gozLKh/SyjpMOi/OrgSvawWbEkZ5m6njLqq4aqvbIpc7jkr4w14n9tKca2JMM63uE+qn+a8Ppws7hajh0+G5NhhLpui/O9C+dVANfwub6PDcjXXzOWZFjs2rAZLxUfpAH6XuuuSx/IVcDtz7EH3/wgnTJ4XO6fWtr4N4COfXw8r+Wt3E9qqBdAyf2+C9I+kP69IoLV+2Ma2DiY6WWRtlPVN+twYxgH64B281yplN2ki7Jds/67FQDd49HmOq4kH5wjke7smcNnLPiJtwIJV3Ry3Oc050amHf0j35DHuleXy8tevO4BlxfK/av+0760f1XNL5H14B26q41RaIDVK/M9rJYm1oDz70yC70WkV6q7O3uXFQD7QUTorTWkW4edI2V0FgDZ2PYiRP1SXcedyNluL8GGnfuaSm2IH2RrU/Dhj81EJh7WzTkDOlWFTdHzovUwhK1YfmT10nfrHZrTvKcWuDPXiSj84j0l09ubxhdVgtRV55VL3xLepywnxl9Qy2EP5inLphL+l7Hu2fdt9XC0QXSml2NpAdV+wekmdaCy/qNH0u+kX5+c0CcwJFa2Mk/NYUz8TPVR8ICKzSda8E+YJVIrDTp8yY9GLx0pRaMZ28IebaK9DbboOlZ/rXg9iz5QJgO6btKH64SCq+FYweN1oWak269NmTX1je1EHjQXyLcgfRFD1gnvTNqwStbsvnFFdKv/3nkm1taC7GvHS/HBZH++GDoK+GWWgjWVOvPjCbdKiOsQO9LLaT7iwpWfSC9dkl4nw9fHYTmXIjpqyWd7+pT4SKxOkj8taB1/GfS67sjlk2VqYPrunc8Fo7/QnXb7c+37VpZB3cqrc5pzCb97cvII3fU6kAvWeWtlSLp8VNeepXp1cFGaT/pG1tIP20X9XSGeR3UzJgT8taM9IHCVx+Mj9dBZLrlghY70uUVo9vunauDZVr8d8Qvkb7YN0aw2rsOqhJ9ajXvk978KXah1P06UNJgtZ99Rbrljjfqe5/VwZvh/ODoDNIjo94eDIqvg2baq/6eatITReKZ9Vl1sM6phiP3ifS7xxNCpCvrQNmxY9Ra8CvVN+S+Sz7QXgcH55zwfzaL9Kil7+tZg3Xw9Qa/XZ8C6QNXkn43CdZDQIea0ypN0se1J89eOL0erDQSfM+Zkt6rwVl/aGE9aBYJvcq0Jf3Zo1TTJ8r14GSXkTDVk/SNo2nO7VAPExd5PjgQSPrTfRn3ZHfWg2VcrdqrKNI/JWS+tWHUQ3+crQ8tg/SpM7PKn9nVw43qJ06G1aRPc8r+1n2hHjROZdY97Sd9sChn2nKfepgh3xA1IvCN6vErcpVPPKyH7uqvDbtnkX7QO29n1It6kJpxUuWlAukd7fn2nxLrwcBOee4ETdKdNQpvKubWwwVOWyDDlHRBVlHUyZp6yJW4seqdLem3fxfnx3TVw6ODDpnTPEmfb1ra+3WoHlaVHzM9EUj6yzdlk1cLNYBBdEXvhyjSN4hXyJ+e2QDuadZMmQzSc2wrt8YtaYA6//5pLtWkG+dW2QytboAzS52flvaT3ipbc2XdlgboGKVtWCE4SHVHz9pwl90NkC7kXXB5Fumj3LrMRMsGmC04zYKrQPqNTQ2tvx0aYKZA0OA6TdJ7Fzfqy7k2gOWL7S9P7SJ99v1GAbWLDTCPb/HVO6ak3+KXKv9/9Ach/vcHH/8ghIqhkqgMKocqoqooHdVBDVATlIHaoPaoM8pEvVBfNABloREoG41HOWg2WoRWoVy0Ex1Aqd+eg38VQsVQSVQGlUMVUVWUjuqgBqgJykBtUHvUGWWiXqgvGoCy0AiUjcajHDQbLUKrUC7aiQ6gQyhN/V+FUDFUEpVB5VBFVBWlozqoAWqCMlAb1B51RpmoF+qLBqAsNAJlo/EoB81Gi9AqlIt2ogPoEErT+FchVAyVRGVQOVQRVUXpqA5qgJqgDNQGtUedUSbqhfqiASgLjUDZaDzKQbPRIrQK5aKd6AA6hNLwt0KFUDFUEpVB5VBFVBWlozqoAWqCMlAb1B7977dRmagX6osGoCw0AmWj8SgHzUaL0CqUi3aiA+jQf78Nu+VfhVAxVBKVQeVQRVQVpaM6qAFqgjJQG9QedUaZqBfqiwagLDQCZaPxKAfNRovQKpSLdqID6BBKw9/+FULFUElUBpVDFVFVlI7qoAaoCcpAbVB71Bllol6oLxqAstAIlI3Goxw0Gy1Cq1Au2okOoEP//daz9r8KoWKoJCqDyqGKqCpKR3VQA9QEZaA2qD3qjDJRL9QXDUBZaATKRuNRDpqNFqFVKBftRAfQIZT6s1XEsXHG/21gs3UKN97wSgPUGI0cimaQHvGdu8DtVgPIjr6c02dL+mrDZuCwGmDBnzVsLU/SM161MPjYDXDuZ4oGK5B0A+E2N/WUBjDm31r5M4r0Rpv2YI+CBsiqKj5qmEH68cyOpIx63sDs2N4/L6pJH5rfVTeurwGSNjffGv+J9CsXun9p/W6AfgPHxQzB71SfXtsj5TW5ESavaIhPmEV62Nq+dTlSjfCQVbl92krSlfz6TSbJN4Jjz/uG45qkJw98OqO7rhE4cMj5gynp+nqf/a/rNELf7ZmD8+xIL3325U3+nkZY3FdVf9aTdNfx38qmWDfCbjnjVSWBpIPl4NcdpxtBruqY5dJXpC/kfBe/dakRhq97rnbLIH3R3CGlEr9GiJYLe1haTbqWy0+DaWGNYLCt1mPJJ9JvVg7b7Y5thNpttqVnBH9Q/afKb5+7aY2wuiHzdNYs0m/cHnlZUdwIH29fMpmxkvStA3/yZjY1wk8lsDyoSbqSPq3XZKARqpN93SNNSdd8wTf5/mgjhEtNDv5q+1e/xHf3xAQubHPSDl3nSbqrysVFU0S5UN9Wd841kPTiFv7XURJcEL5pIZ4SRfqmOx4aO6S5MM7HbuefdNIz1QVLPy3mwj6+Bws3VJNu88XTwncFF65OOO94qp90+cfjviiu5oJIyrNlLwWGqD5x12X34o1csNJKXNMsSfoE/glTHTS5MO29ttt0BdIXxFxhiW/ngp9a+ycNDdIZFkKKsYZcsOxd4WhvQnqK+NUUw71cEGh98zXwBOn09Ik7vllw4bPGjH2ci6S3OHo3+B3lQqR8i3/LPdJfLJpsu9qBCzFv3/oIvCQ9sPzaSPlZLlwcL6sgk0Z61GXhG6fdufBANffAukrSO9bemDPzKhfOHVs/ZUcv6Vu7RF7E+XKBlTR50UG+n1Qvv++zwSSAC956FdfsJEi/ul00dyiEC2/XKSm6LCPd+s9Ns8CnXAhjxf5i0kk/yRbrXveKC6Wsb1UeRqRHWNw6W/OWCykm12IuHiVdeIb4xHPJXOhsn+Lo6kZ6UNbtgNkfuFBwRGKckx/p5i7T5N7nc6FvVNXQ6hnpeiv84vaVcyEjS0RndzLpJ7jTtUfquFDWuKxgUynpKXfuVjxs5UKAlXzRgk7SNbUlrNR6ueDrwlIVGCH917D/YMNXLmxav/hLw9RhqndGzbzk9osLszJ2dLxZQvpEy4DpMgJN8GRNHL/XBtIPzJwVxpnUBAfYXxSMDEjvzQ1cdVC8CTJ3BBrPPUx6NFMqnU+qCfasUj/EPUv6q9UPdj2e3wR3znqqB/uQ3t49u1l9aRN8p/+oNQ4lfQ8r6GSLYhPQIpRmT4onnd94Lp+nahMo5H/sjssjvWdysO8iOm/5QtPVjCbSRdOkZTK1m+Br7qk2/u+k2zuHvDq8owmuNL9pC5n0i+pTV8psHr+nCdYpRcusnUf6QBurIHw/b/mKP8zsVaSLPpy/X9uqCb4MrP5sqEO63e7HfR0nmmAwuG9v9T7SxYUXunqdagLx0feRJidJH0wPFV7qytufKzfkFl8ife75RUE5nk1wbcdomOZ90q+qPFl29HoTtJ9nLYyOIn193+LESX5NsKvijdLMdNIVw8O3RT5oAn2XioTTlaSfOCBboxvaBCZXAsMLe0j/LBlxpPd5E/TP9m+eT/tN9aQSuZ/XY5rA19jS5MR00suuP/Na8a4J4o0CvkTLkb5KW16yILUJetfmPfi0kfR6vsintjlN8Gi2v9qSnaQXv1+2VrS4Cczn3cg0Okz6NOcXH15VNUHgQZ3ZF86S/mjVCmMDbhNU0g7Ih9wg/fynl20DHU1we7ZNffwj0sMjFU7d+tQE24uGpXPfkC5j80pQ+UcTMDdFVZfnkN61SNGv5E8TRLnPGqqqJ52/mb3QcXwzGCaWHir7TPqJEKXYaVOaoV/IaVL2uBGqLzOPUX89oxl+e90qjZ1F+sbZq0p2z22GEdP05/dWkB5SHXtwcFEz2N5nuTgC6SYBKp/vLm+GfBvOCm0j0q32vGGuUWmGgJaEKPEjpH+UWCNWuaEZdixd1Fl+nnTPirchZzSawc7EP8PXl/S7/mtXSuo2g9PNpwoaYaSPGMcnx+9qhsbefrG+ONLTZq7TNzVrBoWbAsY+uaTXVyXU/zzYDPV+5zuXNJK+6/76E/ePNMPxOZ9j3n4hfeG+xN/rTzbDHs2hkE3j/1B9h/TG67XOzTBv2dL7ibNIr+a+n32e2Qz0T1LXFVeQnhS6KXKOVzOsfXWIEUQnnc86eX3SzWa4dPUh36gh6aHymz+a32uG8KB9ZibWpD/uTzH9E9wMkhPWGUW4kM4fS+8KDm8Gs46cuv4bpGecSXXeHNUMXXvDa5c9Ir1to7oQ900zaHgc3njgNelW/On3mEnN0HkuuMsri/Tt2Rqy8zObweBQZ35EDel+PhlvU/OaQWBvTWlyH+mbjbZoWZTxjteFye0faaNU15/zoZy/rhnk+sQ/5U0jPb1F63BoSzPcz7xSnbGE9IeRWd80epph6xI+35h1pNc56ni2fmmGtyskRu5uJ91jY860S8PNYDxsPtnuAOm3xm0LXczfAq+e2z3Z5ED6uMKPyh8mtsAm8+Y3fJdIbw3QTbOa2gLnFPVkE++RLm+Zt3PCrBboUtduPfKc9NoVek1PZVpAMNa6UiSJ9O9D+fY6ci2gF7KlJ7yQ9PMZ+rSulS2wcYnzpNXNpB/zLbx5dW0LGFr5z4v/Rnr2PoN58ptbQCjlwaQAARr1l+puLS2O+qjVAt+3/DxaIEx61vedasf0W0Blz8olozNIP5pRkj/ZuAX4L15Vkp9H+vnbhuYvzFvgoZHhxR1ypP9ilPVuP9wCmgerROyUSO9ZaXS+73gLqKocyvFaT/rW0fLJPk4t8MZc/XmQBumShcYPFM63wO/jyU+ebyd9T0ilfKFHC2z7vDA6xoh0IXuTd3bXWqDxbHLq6/2ky0P1VrE7LTB0tzqPbU16irhZNft+C1SVcbLC7UnPbK2x2fm4BeIzU576nyWdHrd36POzFqj/Md+CeZH0Fd51V25HtwBzWLnX8hrpvubmM1cltEDzPrUN4Ef6YaWG8FJOC2yJuqkp+ZB09rgDa5yyecu7Oox0PiH9ZE1j5vSiFvhlprw3Nor08FcMozeVLVBYJmV4Jo703ZeaWo0aecfF5UyNCof0M3stnL63t8Dj2jvtPdmkiym3CNzrb4G5VxKPBxWTvnDioTtrv7eAvvB6C60a0l9yWxdUjbSAw7DZ+65m0l/FH45xHtcKH7lH7C/3/LX/b7XDLJFW8NOPcZzzjfS5R62LE6a3wuRSt8TI36R7a3QyzOa0guPI3E0q4/jIfph7ZGB4YSsImVf1vREhveRHl9uDZa0w0X04TVGC9JclR0U3rmqF10OF0WHSpAtE9QTXrW+FrYZhr6bKkl5x9biCq3orTJBJjz6zkvSFVn1Jc7e1wrL+My8r1pLeq26rl7yzFQa3TwlQoJOuLPOpbr9pKzzOLbZy0yF9cMTu+CiD97p+iojmGJCuUjfwK8SmFcIOT7k82ZT0T+9OXqPbt4JTiHSq1kHS5e5/kWo60wqL13i/cTlCOves43N3t1b4HB9k8vQk6TPMvq1bcKUVpOIeheSdJT1n/amcNJ9WqE9pdet2J3149ncTS/9WOGMR3U/zJj1y5HSnQDBvPygYNoneJr2m8ceZsCetoBIzQ2/mfdK905wnbHnZCsWumrIzH5Me9+Snf9vrVlCXWXZY9Dnph6+6LLn8vhXS5Wb8Ho0m/e6JX2+WZLTCvSX6TZ0JpMOu81uyclvhR8T8SR9TSbdfO1JmXcrbP5trj4XmkD5v7oVDQrWtwHD+8MupmPQdAqNfI5pbobVF4ZVaNemjXW4eW7t5+1OMcY7WRLpSMW1a9+dWyPR5YvSuk/SWePfH3j9bgdW7bdXxAdJnPuJXXsbXBikJDyZKDJFecNUjNVeoDQ5easmPGyVd0FFw53GxNkhvOHFq5wR+qiftu8QVlmwDWaPLg81TSB/SGm//cl4bfDjjrHFcgvRYpSujerJt0Fp+c3ffXNK/zBG62a/QBkl/ZkpbLSb9tdBV6Ztr2sDXfd/diuWk//g2MWqlWhsE9kW8UlMhPbHJe1PRljaYVaJjEbyBdIHCyfn2em1gkHzl8aA66QXvr++batQGLhB9WHMb6VKRIr3R+9qgrFvskfdO0rsCfc7tOtQGIVu/bM02IX3DVdHJX4+1gWQfy2jkAOlTzvrev+PYBhcO2SQstSbd6shUeZVzbSC22e+oni3pdLPbCWUX22CKsP1+m1Ok39edtvWUdxtEm2l7u5wn/ewmv6oZt9tg3bvDLR4epNeunGHzNrANuhMkDnh6k568wP+H8aM24F3Mv5y7RfoiiZlXfkS0QUzF/jtHA0gXnhQgEcBuAy3xG2sMQkg/80cyXDW+DX7Kny9eHk76oa+Bq6tT2kCIfcaU9pL00k6pzLNZbRCrmJv+MZb0jIYHu6UK22DNxrRx19+Rrlo+p/VdBW//H4yYrplK+oq8h457G9ogQzGn7UsW6WHp0gK/29pgm6q9bUAB6UGJIbeD+togbEJXqEo56TNfyyzYNNgGogpu57JqSRd/+Si6/ncbZK+/0G3QTPrN8AVwQbAdRJOU2os6Sb/BCi2SFm6HBZptltqfSBd5sIiRMq0d6AdaTV4P/rU//Z98OjC7HZ48dHk38zfp128tcaMtbIc7Pl9dT/ILkH7j6ZRH8u2gmXo/IFWIdGFvuWBQbodfGYmjE0RJF7nybEXzunb4JPc4QnPGX4/jKZ90EdrB+nyg15nZpN+4GLl94dZ2eKjf58eaT/pE9+V16QbtkK/QlZYiS7oQ8+WxQybtsP5F1YTyFaR7uCn8EmS0g7TxBFPuKtIvuL3yfmLdDu8TOZFN60gfdFOU0rJrB73jBoNVm0nvY0Y/az/dDtN+8C37sIX0AxeV11250A7be2TUn+mSvsMzNlv2cjsoVA2tvLiT9PeXVUyyb/Du8XrlXQZ7SA+/+qbD5m475FbxHZ5hTvrkG2vOTHzYDrbCH/0LLUjv9Y0b/zysHYbtzjq52ZC+9a6q/7YX7TDwcu/XRbaky9xPWNwT2w7vPiUKcRxJdwhZ/+ZaYjvE0jueGZwlXe1Jouby9HawebIwr+LCX/szcmNZ3kfedu4tPrTLk3T1mCTLEyXtQEvvt0m/SrpLgtpXkZp2+Hyuo2DpTdI1jmyOWNjYDh6lK7e9v036ptSUi1FN7RD5aXGqhx/pmqK3l/0/+oMQ//uDj38QQsVQSVQGlUMVUVWUjuqgBqgJykBtUHvUGWWiXqgvGoCy0AiUjcajHDQbLUKrUC7aiQ6gQ/+9/q3/KoSKoZKoDCqHKqKqKB3VQQ1QE5SB2qD2qDPKRL1QXzQAZaERKBuNRzloNlqEVqFctBMdQIdQGv5ZYyFUDJVEZVA5VBFVRemoDmqAmqAM1Aa1R51RJuqF+qIBKAuNQNloPMpBs9EitArlop3oADr0359z1v1XIVQMlURlUDlUEVVF6agOaoCaoAzUBrVHnVEm6oX6ogEoC41A2Wg8ykGz0SK0CuWinegAOoTS8M9XC6FiqCQqg8qhiqgqSkd1UAPUBGWgNqg96owyUS/UFw1AWWgEykbjUQ6ajRahVSgX7UQH0KH//my33r8KoWKoJCqDyqGKqCpKR3VQA9QEZaA2qD3qjDJRL9QXDUBZaATKRuNRDpqNFqFVKBftRAfQIZSm/69CqBgqicqgcqgiqorSUR3UADVBGagNao86o0zUC/VFA1AWGoGy0XiUg2ajRWgVykU70QF0CKXhn2kXQsVQSVQGlUMVUVWUjuqgBqgJykBtUHvUGWWiXqgvGoCy0AiUjcajHDQbLUKrUC7aiQ6gQ//9eXqD/+XYOOP/NrBZM4tuvq61HUomz1HV9SfdIIcuvqOrHeoXvQioCCS9vzj10aeBdqic7vx7TgjpfLXqSr5D7eBtPC/NJIx0r9Z0jiKtA0S2rvl69RnpzH5Ng+IJHbD2RvJ9dhTp3UOZjSdFO2BG2570vFjS0wW07cRndoD09vdnGuL/GqCKZv+Jke6A/rfBaW1JpHOktvoYLumARb9jo5rTSOcu+Tj324oOUD7J1irPIv34Kt2Xfqs7QN5H525S3l8DbHrextWbOqAiVfHJg2LS3+np5ZVrdgDTda67XQXp5/YW7D29vQPSlNJXraslPezIjh6J3R1gvaMia6iRdAXnIpe4vR2wQnuyTlQr6XOv7JxkYsl73qsSKaZdf22nf0ng0NEOmO/1Yu2vPtLnhBsuDXTogOIY9/e3v5Au/7Ysfp1LB4S5bDOR+UH6vQ9GOjXuHWBukDgj7BfpjMqKSperHfA+zGt0Lk2Q6p6de6xn3+qAi51WMj6CpAsMV31PDOgAu+uTPL4JkV432ezyPlYHaPLJKe8UIV1YunbGyFPe/olzVA2bSvptxX1PHr7qgOcyj1l9M0g/qVGvohbH254X1qdWSJH+yHh/RkNyByTkOadaSpO+5GijoduHDrD8fPWm7wLSR1wZLfMKOuDstR3dsUv+Wv52kwOnvAOSJ1+oy5cnPSTcgv9gfQcMNOfYNyiQbp3YcouvrQNK3Dui25RJP190aP7j3g5YbHrtecsa0pva2tjq3zogovrI4ar1pN/8ZUVv+dUBc53W9qWrkX51amehh0AnaAVGbA9XJz1P9siBRZM7oTnhpI+bFummat39GeKdEKOlnbRjG+krjY5dOCzVCWfY9S0S+qRvO94rMn5BJwxadwmX7yQ90uPEw/ClndBZL63hbUS64YP+5dpKnTDdQ/nWGlPS1WLt3neodsL67Cq+mn2kH80d0PWid4Kk9IcQJwbpNS0na+V0OsFxMOrU+EOkX/v95WjOjk4QStH2uWlN+rkZTsNH9nRCUI/mN9FjpL9QGLw66UAn9PWYxVyxJX22zulZkVadkKSoVvr9JOnZB39E6Np2Qr586EHzU6Szzzmr9p7qhIZtajaJzqSX3f2Zdd21E9h8GZ/FzpO+iu2yZ8WlThjP6RTa7/bXcfn4qz3/eieEfGfEP7741/nTdv60rV8nbJJomtR4ifRntD/jRIM64dHNuZOnXSW9e7bb3VehnXC99GO62nXSLdbSFhtEdkLKroebLW6SPtXQ/fVATCcMu2696nqb9K+2/Jq33nUC7YNHpO9d0idd8yhVSuuEWw9o0Q8CSN/9VNCyJKcTTtg5hQU/IL04/dIXh+JO2BNzxzcwmPQL3PEXp1V3gmi5OPP6I9LNR65Mfc3tBGOdcNczYaSfkJr4aHcn73id5/cze/rXcVzrrTj4qRP8W2rzVz8nfZbRZM7dH50g3te+euJL0l87XN+xZrQTZCZVVZS9+ut95yvSWDG+Cy5FWiYGxJBuH+Vje2ZKF4yAWv/uN6T75on+mSnRBXpqc1wmxv91fnb73oif2wWrp8YcefuO9J0TxeeaLu6CM8teZ+1NIn1A9s6Ln8u7oHikIvhnCulxWtM33lfpAqGfBT9vppH+9PDd3PUbu6D2hkGLdCbpyZ4Se2s1ukBkhZhVeNZf16vQe93ndLtgn3ba9SUfST+YLukyx7ALvPVmW4Tk/XX+NAdOTDLrAjN24YBYIen3+WcHmlt0wXXuHY1zxaTbLgiS+3OkC5r15xxuKCX9kPrc+OCTXTDn+FzG+grSXS2CtTef7YJfEbqbb1aRnnBxXmUjswvg9F6R+hrSZ4ayrJheXfBKk698YT3pd9Pnf5fx7YJxlz6zLBtJX936+FLqvS6YEME9F9RE+jfBRTMsQrrAUdrDvqCF9NLFT8L4n3aBsOmNqz/b/jpvtZaohEZ1wZ3s2OK5naT3Wj9N13jbBTn1zw03dP91/b8qZ9ia1AV2E2WldvX+dV49f9bsmdkFWu/rVlr0k/4pV95hcX4XiFozQ44NkO7WF8n3oawLbrh8cLT9QvpS0RW3rOq6wM3aMu7oN9L7FaNkJrR2QUTw5FOM76QX7lrJftrTBVm+jnE7hkjPcWJv1vnaBSFRO66qDpNe769U2DncBQM2uwelfpM+MSFm/1X+bnBVXDP+xwjpO2pX9S+d1A3jTz/7kDf61/tx5LXrx6ndoPfcAoL4xpFv3MmsETk2qxvE1STcDwuQ/kI9Lmjy/G6QeOzsKzeOdP3DqstfyHXDHG01l7bxpI/3SkjcrtgNbQ9nbw0SIr3s+XrdvrXdoDgzc4LeJNLj8hNrbmzuBs7CT5wfk0l/NbDxqIJ2Nxir6LsFiZD+flryzwL9bnid4K+3QZT02jWbr9oZd8P9Ra5rysRIFzPjSIrt74actjea1uKkG7tCBPtwNwjaDl78Nu2v52Wlrd15ohsmKwz8OjeDdKkMjazPTt0Q4m/2bkSC9ICODOPb57vhomRX9llJ0pdM1mpX9uyGU4sMlAdmkZ6lkHWq9Fo3rFumyXdwNulndumMc7rTDTcfnqXnzSFd9XSO3/QH3bC+N2xYSZr0ife3LXrzuBt+XnFZf3se6V1JubFGz7vBpylqUp8M6VVN2zW+R3dD4pHvp9QX/NXHFZT4J3QD3Bp35fZC0tuW7rBYm9oNTdm+OvWLSKfpF32uzO6Gfe7bMxcsIX2pw05356JucFjWN8FSlvQD/iVis6q6oXOt7OxgOdIfvzNkJTR2w/mZryaWLSX9a0PZSrOObvi8fl2D4DLSDQSMU4b7u0Fomkuo4nLSE2Qr9R985+1/sSWH9qwgXWG7ScOGP90wL+yz/FmFv46vffWJunE98FjtFr//StLX3zUbOS/SA3kGCYMvFUkvSai9PndGDxzQlRZNVSLdsWHfnOQ5PSAV4mRaqEz6PIGGyP2LeiDlvX1j1SrSK2UPbBhd1gPiM7Ii61VIv7ed+zFkVQ8USS7PqV9NusXJg2b0DT2QrLpbvXoN6av9m7u46j3woO3r/KK1pE9NtDzrvq0H5H1THNJUSf/R2Cq0YFcPLHt2bDN73V/HV9AqIM20B/Y/enE7cP1f76OlHbKWB3vAq2vNmQsbSK/Rt4kTONIDNl+Sf+zfSDrXsUsrzJ73epf/lN6wifRPAUcrNJ17QH/i/R/iaqSPS+453ObWA1VDRtfb/+rzW44PXrrSA9LHmzrebCZdS6jfc8nNHuCWDkx3p5N+coXd9Cx/XmepSusA6Y92DYRaB/dAo8aJKZPV/9r+MydXCYX3QPAKjYGcv7rkwy9pES97oKnAtsBTg3TzNMddW9/0gFVAWOwGTdLDO741db3vgU/DAc/7/+qDwqdPemf0wGZrWvLDLaTrKv+gLcvrAQn9m0M6WqQ/2ePsm1vaA6tlhg8N/NUFXX/OO17bA+b6gyJ+2qQfeezySrilB3ZuXf1nlc5f52fWL7WX3T1Q7G5LL/qrb+47X6D3pQdCbIwabbaSHiP+x7z/Zw+ctw1uG/mry6q69fnw9YKc4B/zm9v+ep+a01xXTuwFq/tyhnN1/zpeHu7CRWK98ONRSeHTv3poBH+QvWQvBF9jNyhsJ12+wGPZVJlekMw+7R3zV4/9KpgYLfv/tW/331yfcRzHVZpMpSnxTYsl5KaSEiLHu0ZpfKX6ElOtQ0vTrahFizOVuyg3TWUqK0Y1RGGcbq20blbJTcSKxRld10dUm24c6+zsnO/13f6CnfN6/PZ5nutc1+fz+eG6fvl8GFlcb2yx8VR2F9mehYunMUp/m/RbodDvOms09c5iNLZ+fq65XNmDguLWpjkzCr9aaX1M6G/iNV/NcGO0wfFI0mgvZU8vTIir9WRUnXe8Okbo0+u09MMVjBx3Rnc+E/rd13u/113OKNWqs99/kbKHGo20Kw1iFD8pVfuK0Me67bvms45RW/00c1Nv4fwKGeXz5xZGq85uVcQKfXVKSntGJKOqKQZH24WuXaYTbh/D6HbJvVG0WNnPN6epNyYwmlMmP3dI6CGDddO3pzJ6kOeW0S308ZO/MR53mNHyV+svz12i7L946pVUZDNKlm13ThN6zJaDcz/NZ2QZMV7WKnSHQ7KaN0WM+hKHB1gtVfZnFw6v+racUcnF/g/ChZ7/xKDH6RIjoz0nXCuFHvR+VnRLNaMBr3ODBoRuaD1h1M47jHSSnyxyUSh7s+Lo0QkNjMad6ZgTJfTMSKNpF39l1Gi+6X6l0P2ysy+s7GA0Yq3t+D+EblA9Ua4mMdrxqGviVB9hfna85dhLRu39H/cGCv2Ijsl66mekaduXniH0Vfa5b1vVOZ16Wa77s9BNVpjt/Xo4p4Qix6g+oXfF5BkYj+G0tn5ms4mvcB7lm5+qMuCk+WCZnbfQw++cnB1kzMnSNCAzQuhOLy1vqFty2j/9uc53Qh9i8INfjg2n11/U5FUL/abL1E7X2Zws5hWseSr0tM8Lv+wgTq0Wjv4jlgn73l7rYbHunNpSpyROEbpp8ZkMM29O7KnDUA+hdzfYmF1fxulK7pj7wUL/sb+kNPgzTpNmhg7ECH2Xsa2bZjCnWnWNA1lC93IvrcvfyCk9PvbIOaHLNtqtXrjt3Twz8kxvCb09vfxF105ObqEf2rcKvajCYVfiHk6VZZktL4S+43HFaKtkTq5hDR9p+Cm7+3tOx28d4JSjv1tbX+i6Vudt1mdxytT1O2Mm9FZv5ysjcjg9faihM0voBdsuehec5qRodnWaJ/SILJdW+VlOqbHVs72EPr/q8qbuSk5JctL3F/rozrlq+6s4bche8yhQ6I9H/rTP+iYn8+fS4XXiujNdDe/VcPI8nagIE9f1v1awuYmTQ0CvLFJcN3q+s04bp8BBDb3RQh+Te/12cScnw7Lurt3i8950X76kh9OM0q7hCeK6PTfY8z5OxSfSApOEHqnnsSNdTaJxPgte7RP6gjm3tWyHSdQZodaUIr7nQHlmnbZElhMrtNKE3hZ3x2KrnkRlQy6dFHthwaKKsYYSldQZR4v9q9p77mWmEtmdTk4U+yevFzf6TpXIIjoqTuz6RrXBfbYSNfp5x4u93VXRd3DOu/sxlKn04pD6WAdXiWytJ6v0qBRfvSYPicpNJ6l0j7IHuRFLJcpxNFHpsha/WQYBEm3uUR3fMfjh1cpAiZYMVR1fMjlAERAi0cCA6vhoecuTt6ESrRukOl4etiIsK0IizX91S/uV5iVR0j8/SAr74d8/Tv63H0qr+V38EMK3KHmleK2lBgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8H/wFw== + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 2a6c9856-3283-42b9-ad0d-b196a81f7300 + true + Curve + Curve + false + 0 + + + + + + 7123 + 21963 + 50 + 24 + + + 7148.364 + 21975.77 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9d2d4e65-876f-43a9-8908-b4890697e12b + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 7379 + 22356 + 439 + 20 + + 0 + 0 + 0 + + 7379.498 + 22356.6 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ef7e30c0-eb5a-49f7-8900-fd7057e65dd6 + true + Panel + + false + 0 + 8d817556-0832-443c-be60-e7ab66e4da64 + 1 + 0.00032220000 +0.00000220000 + + + + + + 7379 + 22480 + 439 + 22 + + 0 + 0 + 0 + + 7379.809 + 22480.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + ff242935-ffcc-4ea6-9bd3-48e1bb088415 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 7472 + 22621 + 251 + 20 + + + 7472.408 + 22621.96 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c6f55555-4ed5-4ecc-95a8-aa541d445714 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 7380 + 22602 + 439 + 20 + + 0 + 0 + 0 + + 7380.248 + 22602.12 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 44b37048-c31c-4e55-aa4a-0a740586d36f + true + Point + Point + false + 9a96a98b-9d42-4cd5-9284-e3ec69b5d0ba + 1 + + + + + + 7595 + 20255 + 50 + 24 + + + 7620.229 + 20267.68 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 9a96a98b-9d42-4cd5-9284-e3ec69b5d0ba + true + Relay + + false + a61bb92d-8752-43bd-b0f3-9fe07f3d2ca7 + 1 + + + + + + 7595 + 20298 + 40 + 16 + + + 7615 + 20306 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 30001983-c314-4c6c-88d3-45dee8332dbb + true + Relay + + false + eab696e2-c4e3-4ce2-8816-2f67db84bbc0 + 1 + + + + + + 7595 + 20075 + 40 + 16 + + + 7615 + 20083 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 9f95dc08-d6f9-4d10-a5dd-ef1fc47e0022 + true + Scale + Scale + + + + + + 7538 + 20111 + 154 + 64 + + + 7622 + 20143 + + + + + + Base geometry + c258f749-5dca-4794-8a90-569d0f6fe12d + true + Geometry + Geometry + true + 44b37048-c31c-4e55-aa4a-0a740586d36f + 1 + + + + + + 7540 + 20113 + 67 + 20 + + + 7583 + 20123 + + + + + + + + Center of scaling + ecca6d47-7eba-496e-a8c9-fa3038220daf + true + Center + Center + false + 0 + + + + + + 7540 + 20133 + 67 + 20 + + + 7583 + 20143 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + a5d635d8-75b8-4734-ae2f-be4c2572b02c + 2^X + true + Factor + Factor + false + ddb6fc0a-d855-4568-a2d9-a2271d2cdc89 + 1 + + + + + + 7540 + 20153 + 67 + 20 + + + 7583 + 20163 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + eab696e2-c4e3-4ce2-8816-2f67db84bbc0 + true + Geometry + Geometry + false + 0 + + + + + + 7637 + 20113 + 53 + 30 + + + 7665 + 20128 + + + + + + + + Transformation data + 7473926d-4375-48df-88e8-32f22d663cf8 + true + Transform + Transform + false + 0 + + + + + + 7637 + 20143 + 53 + 30 + + + 7665 + 20158 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + ddb6fc0a-d855-4568-a2d9-a2271d2cdc89 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 7500 + 20200 + 250 + 20 + + + 7500.008 + 20200.04 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 44b37048-c31c-4e55-aa4a-0a740586d36f + 1 + c87e5f22-762f-485a-b818-05e9c603f0ea + Group + Point + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 8d817556-0832-443c-be60-e7ab66e4da64 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.02196259374 + + + + + + 7471 + 22522 + 251 + 20 + + + 7471.908 + 22522.27 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 2a8104db-2b14-4f9d-818b-f57b27a43158 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 7021 + 21730 + 250 + 20 + + + 7021.861 + 21730.22 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 480c272f-7843-426f-a04e-5a5346efaa51 + true + Vector XYZ + Vector XYZ + + + + + + 7518 + 17575 + 139 + 64 + + + 7603 + 17607 + + + + + + Vector {x} component + 5eeddf17-5605-4187-93dc-d5d5fadafba9 + true + X component + X component + false + 0 + + + + + + 7520 + 17577 + 68 + 20 + + + 7555.5 + 17587 + + + + + + 1 + + + + + 1 + {0} + + + + + 7.5 + + + + + + + + + + + Vector {y} component + 45bafb6b-be67-4a00-af45-fb58b57c015f + true + Y component + Y component + false + 0 + + + + + + 7520 + 17597 + 68 + 20 + + + 7555.5 + 17607 + + + + + + 1 + + + + + 1 + {0} + + + + + 4 + + + + + + + + + + + Vector {z} component + 65ab5509-1800-42dd-9467-31e90422db1a + true + Z component + Z component + false + 0 + + + + + + 7520 + 17617 + 68 + 20 + + + 7555.5 + 17627 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + c662a3f5-c686-480e-a9f6-c0e87c370038 + true + Vector + Vector + false + 0 + + + + + + 7618 + 17577 + 37 + 30 + + + 7638 + 17592 + + + + + + + + Vector length + 07a8e585-f594-4e1f-a6c6-89b80802af7f + true + Length + Length + false + 0 + + + + + + 7618 + 17607 + 37 + 30 + + + 7638 + 17622 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 9e0ce62b-127c-4d18-bb00-e332cc94cdd6 + true + Stream Filter + Stream Filter + + + + + + 7101 + 21872 + 89 + 64 + + + 7146 + 21904 + + + + + + 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 + 4a06d7ae-7dae-4bfb-980a-7b072ad2e86f + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 7103 + 21874 + 28 + 20 + + + 7118.5 + 21884 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + b24f515f-c478-4697-87a6-9b0dfab933a7 + true + false + Stream 0 + 0 + true + 5494d448-a9bd-4b32-86e1-470ecb156672 + 1 + + + + + + 7103 + 21894 + 28 + 20 + + + 7118.5 + 21904 + + + + + + + + 2 + Input stream at index 1 + 03c23076-caed-430e-ae23-020b5b65651f + true + false + Stream 1 + 1 + true + b09beea0-b303-4bd8-86ed-e165609c0970 + 1 + + + + + + 7103 + 21914 + 28 + 20 + + + 7118.5 + 21924 + + + + + + + + 2 + Filtered stream + 07c1ea70-9f34-4cb2-9732-c0811f7a89a4 + true + false + Stream + S(1) + false + 0 + + + + + + 7161 + 21874 + 27 + 60 + + + 7176 + 21904 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 106a93b0-0601-48d7-b498-a6b907cb491a + true + Relay + + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 7571 + 20844 + 40 + 16 + + + 7591 + 20852 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d + 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b + d2c8396a-8532-419d-8481-bdd10c5ce58a + db1b8d5e-412a-4412-9349-bb9ad1eae269 + 57ec1eb2-bdf2-4ae4-9b47-059230205343 + 5c9b2941-e7bb-44a7-8d6a-1ff9d33be17e + 6 + e7fb6ba5-e63b-42da-a6dc-00266123c4e9 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 78ba8d97-20e4-48d4-b488-06cd19be5bd4 + 8b43278d-a015-4bf3-ae9b-67056074812e + 91b3a261-507f-4dc7-b340-12fe35761068 + 02751fe1-3a98-426e-afcf-5ecbb995108d + 68e44c45-f8e9-41a0-a756-15b1e702a860 + 96560ed6-d048-4e65-bec7-90a53c6e70d9 + cbcdbd2d-d103-4cb5-9042-187b4284dd51 + 332103c5-7760-411a-9ded-39aee3a6955b + c1fa8501-0e6f-4710-aef6-6ae81d7fcd46 + 49ff4401-8150-494a-bb82-f23540526c63 + cd022c50-d05a-419d-9381-0a403bcafbf3 + e13e30a7-17a6-462e-a483-e43c92ba2d20 + 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb + 1039284a-7fb8-4f65-8a63-a8b8847c847e + c224342c-801f-4459-9224-44879ddf539f + d7213532-5e84-4452-8be6-de7278fd0d5b + 170e89e6-0823-483d-b6da-8a61c53027b7 + 82b9d602-bf3a-4de6-b944-fe2247c951ab + 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + eb2a842f-a395-41a0-a667-f7168a1b8090 + 777a1d64-6482-4221-8c26-8ff31e84f24a + 1d617850-f3e5-4787-bd84-3281835cabb5 + 6d717f7d-ebf6-4079-9aa3-f85139a8884f + ab070339-75ac-48af-8207-0ca30bf14d26 + 38b3604b-77db-495a-8a08-a39707d7a30c + 1e27447a-66be-4102-a4b5-8b1390997178 + fb7a1f8d-54ee-4990-b936-573b815e4ff1 + 97c40c85-0b82-4dae-888c-d721101ac522 + dbd93ad4-4190-4668-8af3-d07c04c66dc6 + 13560c87-2332-4330-a49f-82b99b1436c4 + cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 + 49609cea-1a70-45c3-80dc-ea251ad00f53 + bf597752-e6d4-4ce1-83f3-62cfda6b3f4f + beb59961-19f0-428e-9f46-fe2528ab7890 + 0304cf48-a7fc-4bcc-8650-66449de2135a + a8d21499-77ba-4cb5-b537-1b492d0b072d + 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab + 5ba680bf-5f36-48f2-b02f-fc20f272de3d + 3b2adea6-57f3-403d-b72b-1544d3bf2abf + 551339a5-7ce0-4224-9324-ed0296881b78 + fac3ba7c-9c82-400d-8c85-ee5c865de4a4 + a8da2956-af99-4098-8c44-b5ecafad51ab + af9d671f-3736-4822-8551-abf4f79f917b + 4850df6e-1289-45cc-bc62-0c065424321f + 7cc36c08-4a10-44c0-9661-d1009f358693 + 0dae7229-a981-46e0-bb9d-860d9430cf7b + 3f846370-657a-4b9d-ad02-96c4d9f2915e + 4a4f4785-005f-4c36-abe9-497bfc357b48 + 55787898-278b-4394-8fb9-e372fd6c279e + 16241c5b-95ba-488a-8cb8-302f94aab8b1 + adf83129-215a-4938-be3d-47d1a82da650 + 8b2e8ccc-1d3f-4467-8a7d-76db9d271482 + f57c4b4a-115b-43b2-994f-2217561c619c + 48c1450b-113e-4f0e-883e-18eca0eec5a3 + 02fbeae1-9aa8-46e0-9d9c-664e1e333613 + 1853c135-e40d-42f1-b137-d067d992777d + ea44be3b-6a32-40ae-8c3e-f3a93a5747b7 + e2c05755-5629-4a6c-b861-546e7afab9ab + 48de1dbe-2eec-4842-ac37-4b7870464e31 + d49af78f-71dd-4c54-8395-8dbfc64b7443 + b32cfad3-c586-46bc-b8b7-c18cda99cc37 + 3fe78e12-dc17-4eef-876e-a7218b28ee25 + cae291b5-909f-42aa-82b4-b311788dad66 + d6a65cf3-3c57-4aab-8be1-8f4ffb307b50 + 29b40471-71d6-4c88-b1ed-616dd8d46c9b + 57ca2b82-e6ca-4f33-9af0-b056547d4b2c + 5449d956-2675-4285-951d-b70810171010 + 67fedd6d-2205-4e18-9171-cbde1d5c2e46 + 340f190e-6016-465d-ac0f-373367888e16 + a08ec1bc-7d44-4b5f-86b0-78148107593e + 348dcc14-62a3-4d82-9951-97beb79884ee + 175ce8c8-265b-4672-b747-2e617bce8bae + 27ce5316-f16d-488a-a1b9-8aa96103f1a7 + 4cffdb4a-a1ed-49d7-ac90-5f7a82c4f4d0 + 7f7a3dbe-41bb-4147-86f8-d889f01d5876 + f6a9ded4-3b5b-4b16-90c6-185afd448198 + 43753d2c-fbd3-4f99-8b7e-646c3b4a63f0 + beb8b866-28da-4aab-b549-e1451e63528b + 09967293-5e47-4acc-bdd9-021303a75163 + 2fc80a44-8804-4877-b49b-3501b0d8d6f4 + 9fc3eda7-d22b-4858-9e35-874868e02c53 + add20bae-e52c-49ee-bb21-e5508403ec1c + a6af5b65-d9e5-4705-b850-f1e26fdaf68a + 11f7fad5-5c45-4475-b82b-a3f9574c63cf + 85 + 79e4112a-ea9e-4e33-b1f4-b2c7ebbb6c1f + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8b43278d-a015-4bf3-ae9b-67056074812e + 91b3a261-507f-4dc7-b340-12fe35761068 + 02751fe1-3a98-426e-afcf-5ecbb995108d + 68e44c45-f8e9-41a0-a756-15b1e702a860 + 96560ed6-d048-4e65-bec7-90a53c6e70d9 + cbcdbd2d-d103-4cb5-9042-187b4284dd51 + 332103c5-7760-411a-9ded-39aee3a6955b + c1fa8501-0e6f-4710-aef6-6ae81d7fcd46 + 49ff4401-8150-494a-bb82-f23540526c63 + cd022c50-d05a-419d-9381-0a403bcafbf3 + e13e30a7-17a6-462e-a483-e43c92ba2d20 + 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb + 1039284a-7fb8-4f65-8a63-a8b8847c847e + c224342c-801f-4459-9224-44879ddf539f + d7213532-5e84-4452-8be6-de7278fd0d5b + 170e89e6-0823-483d-b6da-8a61c53027b7 + 82b9d602-bf3a-4de6-b944-fe2247c951ab + 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + eb2a842f-a395-41a0-a667-f7168a1b8090 + 777a1d64-6482-4221-8c26-8ff31e84f24a + 1d617850-f3e5-4787-bd84-3281835cabb5 + 6d717f7d-ebf6-4079-9aa3-f85139a8884f + ab070339-75ac-48af-8207-0ca30bf14d26 + 38b3604b-77db-495a-8a08-a39707d7a30c + 1e27447a-66be-4102-a4b5-8b1390997178 + fb7a1f8d-54ee-4990-b936-573b815e4ff1 + 97c40c85-0b82-4dae-888c-d721101ac522 + dbd93ad4-4190-4668-8af3-d07c04c66dc6 + 13560c87-2332-4330-a49f-82b99b1436c4 + cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 + 49609cea-1a70-45c3-80dc-ea251ad00f53 + bf597752-e6d4-4ce1-83f3-62cfda6b3f4f + beb59961-19f0-428e-9f46-fe2528ab7890 + 0304cf48-a7fc-4bcc-8650-66449de2135a + a8d21499-77ba-4cb5-b537-1b492d0b072d + 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab + 5ba680bf-5f36-48f2-b02f-fc20f272de3d + 3b2adea6-57f3-403d-b72b-1544d3bf2abf + 551339a5-7ce0-4224-9324-ed0296881b78 + fac3ba7c-9c82-400d-8c85-ee5c865de4a4 + a8da2956-af99-4098-8c44-b5ecafad51ab + af9d671f-3736-4822-8551-abf4f79f917b + 4850df6e-1289-45cc-bc62-0c065424321f + 7cc36c08-4a10-44c0-9661-d1009f358693 + 0dae7229-a981-46e0-bb9d-860d9430cf7b + 3f846370-657a-4b9d-ad02-96c4d9f2915e + 4a4f4785-005f-4c36-abe9-497bfc357b48 + 55787898-278b-4394-8fb9-e372fd6c279e + 16241c5b-95ba-488a-8cb8-302f94aab8b1 + adf83129-215a-4938-be3d-47d1a82da650 + 8b2e8ccc-1d3f-4467-8a7d-76db9d271482 + f57c4b4a-115b-43b2-994f-2217561c619c + 48c1450b-113e-4f0e-883e-18eca0eec5a3 + 02fbeae1-9aa8-46e0-9d9c-664e1e333613 + 1853c135-e40d-42f1-b137-d067d992777d + ea44be3b-6a32-40ae-8c3e-f3a93a5747b7 + e2c05755-5629-4a6c-b861-546e7afab9ab + 48de1dbe-2eec-4842-ac37-4b7870464e31 + d49af78f-71dd-4c54-8395-8dbfc64b7443 + b32cfad3-c586-46bc-b8b7-c18cda99cc37 + 3fe78e12-dc17-4eef-876e-a7218b28ee25 + cae291b5-909f-42aa-82b4-b311788dad66 + d6a65cf3-3c57-4aab-8be1-8f4ffb307b50 + 29b40471-71d6-4c88-b1ed-616dd8d46c9b + 57ca2b82-e6ca-4f33-9af0-b056547d4b2c + 5449d956-2675-4285-951d-b70810171010 + 67fedd6d-2205-4e18-9171-cbde1d5c2e46 + 340f190e-6016-465d-ac0f-373367888e16 + a08ec1bc-7d44-4b5f-86b0-78148107593e + 348dcc14-62a3-4d82-9951-97beb79884ee + 175ce8c8-265b-4672-b747-2e617bce8bae + 27ce5316-f16d-488a-a1b9-8aa96103f1a7 + 4cffdb4a-a1ed-49d7-ac90-5f7a82c4f4d0 + 7f7a3dbe-41bb-4147-86f8-d889f01d5876 + f6a9ded4-3b5b-4b16-90c6-185afd448198 + 43753d2c-fbd3-4f99-8b7e-646c3b4a63f0 + beb8b866-28da-4aab-b549-e1451e63528b + 09967293-5e47-4acc-bdd9-021303a75163 + 79 + 78ba8d97-20e4-48d4-b488-06cd19be5bd4 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 43753d2c-fbd3-4f99-8b7e-646c3b4a63f0 + 1 + 8b43278d-a015-4bf3-ae9b-67056074812e + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 02751fe1-3a98-426e-afcf-5ecbb995108d + 1 + 91b3a261-507f-4dc7-b340-12fe35761068 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 68e44c45-f8e9-41a0-a756-15b1e702a860 + 1 + 02751fe1-3a98-426e-afcf-5ecbb995108d + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 96560ed6-d048-4e65-bec7-90a53c6e70d9 + 1 + 68e44c45-f8e9-41a0-a756-15b1e702a860 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + cbcdbd2d-d103-4cb5-9042-187b4284dd51 + 1 + 96560ed6-d048-4e65-bec7-90a53c6e70d9 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 332103c5-7760-411a-9ded-39aee3a6955b + 1 + cbcdbd2d-d103-4cb5-9042-187b4284dd51 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 49ff4401-8150-494a-bb82-f23540526c63 + 1 + 332103c5-7760-411a-9ded-39aee3a6955b + Group + Group + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c1fa8501-0e6f-4710-aef6-6ae81d7fcd46 + true + Curve + Curve + false + 0 + + + + + + 9252 + 21577 + 50 + 24 + + + 9277.684 + 21589.01 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + c1fa8501-0e6f-4710-aef6-6ae81d7fcd46 + 1 + 49ff4401-8150-494a-bb82-f23540526c63 + Group + Curve + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + dbd93ad4-4190-4668-8af3-d07c04c66dc6 + 1 + cd022c50-d05a-419d-9381-0a403bcafbf3 + Group + Group + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb + 1039284a-7fb8-4f65-8a63-a8b8847c847e + c224342c-801f-4459-9224-44879ddf539f + d7213532-5e84-4452-8be6-de7278fd0d5b + 170e89e6-0823-483d-b6da-8a61c53027b7 + 82b9d602-bf3a-4de6-b944-fe2247c951ab + 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 777a1d64-6482-4221-8c26-8ff31e84f24a + eb2a842f-a395-41a0-a667-f7168a1b8090 + cd022c50-d05a-419d-9381-0a403bcafbf3 + 49ff4401-8150-494a-bb82-f23540526c63 + 57ca2b82-e6ca-4f33-9af0-b056547d4b2c + 5449d956-2675-4285-951d-b70810171010 + 67fedd6d-2205-4e18-9171-cbde1d5c2e46 + 340f190e-6016-465d-ac0f-373367888e16 + a08ec1bc-7d44-4b5f-86b0-78148107593e + 348dcc14-62a3-4d82-9951-97beb79884ee + cae291b5-909f-42aa-82b4-b311788dad66 + d6a65cf3-3c57-4aab-8be1-8f4ffb307b50 + 20 + e13e30a7-17a6-462e-a483-e43c92ba2d20 + Group + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb + true + Duplicate Data + Duplicate Data + + + + + + 9225 + 22737 + 104 + 64 + + + 9284 + 22769 + + + + + + 1 + Data to duplicate + 0a3ed188-e985-452e-9ff5-cd0a32dae120 + true + Data + Data + false + 3441c199-dcc1-4b33-934b-cfbae9c4275e + 1 + + + + + + 9227 + 22739 + 42 + 20 + + + 9249.5 + 22749 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 1 + + + + + + + + + + + Number of duplicates + 39ec433b-0285-4cb6-b72b-ae0de8502430 + true + Number + Number + false + 29b40471-71d6-4c88-b1ed-616dd8d46c9b + 1 + + + + + + 9227 + 22759 + 42 + 20 + + + 9249.5 + 22769 + + + + + + 1 + + + + + 1 + {0} + + + + + 500 + + + + + + + + + + + Retain list order + e98f6c79-061f-423b-b564-c00fe80a78e0 + true + Order + Order + false + 0 + + + + + + 9227 + 22779 + 42 + 20 + + + 9249.5 + 22789 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 33b9cd87-5f23-4af9-99be-03484f0d3cd1 + true + Data + Data + false + 0 + + + + + + 9299 + 22739 + 28 + 60 + + + 9314.5 + 22769 + + + + + + + + + + + + fb6aba99-fead-4e42-b5d8-c6de5ff90ea6 + DotNET VB Script (LEGACY) + + + + + A VB.NET scriptable component + true + 1039284a-7fb8-4f65-8a63-a8b8847c847e + true + DotNET VB Script (LEGACY) + Turtle + 0 + Dim i As Integer + Dim dir As New On3dVector(1, 0, 0) + Dim pos As New On3dVector(0, 0, 0) + Dim axis As New On3dVector(0, 0, 1) + Dim pnts As New List(Of On3dVector) + + pnts.Add(pos) + + For i = 0 To Forward.Count() - 1 + Dim P As New On3dVector + dir.Rotate(Left(i), axis) + P = dir * Forward(i) + pnts(i) + pnts.Add(P) + Next + + Points = pnts + + + + + + 9211 + 20809 + 116 + 44 + + + 9272 + 20831 + + + + + + 1 + 1 + 2 + Script Variable Forward + Script Variable Left + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + true + true + Forward + Left + true + true + + + + + 2 + Print, Reflect and Error streams + Output parameter Points + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + true + true + Output + Points + false + false + + + + + 1 + false + Script Variable Forward + 12d5745b-b37e-43c0-843a-56929a8c4807 + true + Forward + Forward + true + 1 + true + 33b9cd87-5f23-4af9-99be-03484f0d3cd1 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 9213 + 20811 + 44 + 20 + + + 9236.5 + 20821 + + + + + + + + 1 + false + Script Variable Left + 7e6b428e-4fb4-49f8-8d14-87f691d21b7f + true + Left + Left + true + 1 + true + 42c35aa7-cdbc-4be6-97e3-313e6cf9e229 + 1 + 8e991e99-5fb8-41e1-928d-1bba8fb9f7d7 + + + + + + 9213 + 20831 + 44 + 20 + + + 9236.5 + 20841 + + + + + + + + Print, Reflect and Error streams + 3192b03b-e4b1-411f-ab6c-4012a9b71cda + true + Output + Output + false + 0 + + + + + + 9287 + 20811 + 38 + 20 + + + 9307.5 + 20821 + + + + + + + + Output parameter Points + 981930d9-4b2a-4b10-8210-cbef51e1dcc0 + true + Points + Points + false + 0 + + + + + + 9287 + 20831 + 38 + 20 + + + 9307.5 + 20841 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + d7213532-5e84-4452-8be6-de7278fd0d5b + true + Series + Series + + + + + + 9222 + 22066 + 101 + 64 + + + 9272 + 22098 + + + + + + First number in the series + 48bcc301-5606-4043-b5aa-9d1fe2b346de + true + Start + Start + false + 0 + + + + + + 9224 + 22068 + 33 + 20 + + + 9242 + 22078 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + bec12e81-b467-4fbe-b8d1-513264384ecc + true + Step + Step + false + f6a9ded4-3b5b-4b16-90c6-185afd448198 + 1 + + + + + + 9224 + 22088 + 33 + 20 + + + 9242 + 22098 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 83ada186-9e38-4809-8b20-5b3656b3f1bd + true + Count + Count + false + 29b40471-71d6-4c88-b1ed-616dd8d46c9b + 1 + + + + + + 9224 + 22108 + 33 + 20 + + + 9242 + 22118 + + + + + + + + 1 + Series of numbers + 5cd2669e-4aec-471a-b8a7-2754c45d0366 + true + Series + Series + false + 0 + + + + + + 9287 + 22068 + 34 + 60 + + + 9305.5 + 22098 + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 170e89e6-0823-483d-b6da-8a61c53027b7 + true + Number Slider + + false + 0 + + + + + + 9210 + 22920 + 150 + 20 + + + 9210.363 + 22920.86 + + + + + + 0 + 1 + 0 + 65536 + 0 + 0 + 256 + + + + + + + + + a4cd2751-414d-42ec-8916-476ebf62d7fe + Radians + + + + + Convert an angle specified in degrees to radians + true + 82b9d602-bf3a-4de6-b944-fe2247c951ab + true + Radians + Radians + + + + + + 9172 + 22308 + 120 + 28 + + + 9233 + 22322 + + + + + + Angle in degrees + 7787b94f-a008-46ca-84c7-30f149dcfd14 + true + Degrees + Degrees + false + 03a6dc84-f1f0-401e-ab4c-5cd21e8e5b00 + 1 + + + + + + 9174 + 22310 + 44 + 24 + + + 9197.5 + 22322 + + + + + + + + Angle in radians + 0c73dfab-a73a-4c0b-8a5f-cfa5642dea2e + true + Radians + Radians + false + 0 + + + + + + 9248 + 22310 + 42 + 24 + + + 9270.5 + 22322 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00140149998 + + + + + + 9150 + 22675 + 251 + 20 + + + 9150.574 + 22675.85 + + + + + + + + + + 75eb156d-d023-42f9-a85e-2f2456b8bcce + Interpolate (t) + + + + + Create an interpolated curve through a set of points with tangents. + true + eb2a842f-a395-41a0-a667-f7168a1b8090 + true + Interpolate (t) + Interpolate (t) + + + + + + 9197 + 20044 + 144 + 84 + + + 9283 + 20086 + + + + + + 1 + Interpolation points + 8c946e43-ae5a-4866-a8c3-b9235c87365d + true + Vertices + Vertices + false + d2c8396a-8532-419d-8481-bdd10c5ce58a + 1 + + + + + + 9199 + 20046 + 69 + 20 + + + 9235 + 20056 + + + + + + + + Tangent at start of curve + 8655a585-24a4-4608-a2a0-fed84f02f2df + true + Tangent Start + Tangent Start + false + 0 + + + + + + 9199 + 20066 + 69 + 20 + + + 9235 + 20076 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0.0625 + 0 + 0 + + + + + + + + + + + + Tangent at end of curve + ce08e837-a42b-4294-97ce-29210331a9e3 + true + Tangent End + Tangent End + false + 0 + + + + + + 9199 + 20086 + 69 + 20 + + + 9235 + 20096 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 9953718f-457b-45fc-afce-079d4f6df2f1 + true + KnotStyle + KnotStyle + false + 0 + + + + + + 9199 + 20106 + 69 + 20 + + + 9235 + 20116 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 785870ed-7168-4194-a6cb-1315975c5831 + true + Curve + Curve + false + 0 + + + + + + 9298 + 20046 + 41 + 26 + + + 9320 + 20059.33 + + + + + + + + Curve length + d999d374-f05d-4786-a492-dae5e85f1fcd + true + Length + Length + false + 0 + + + + + + 9298 + 20072 + 41 + 27 + + + 9320 + 20086 + + + + + + + + Curve domain + 54a99784-cfb0-47d5-888b-0f1b05f937cb + true + Domain + Domain + false + 0 + + + + + + 9298 + 20099 + 41 + 27 + + + 9320 + 20112.67 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 058ad49d-69a3-48ec-ba62-11bd3a0cd5eb + 1039284a-7fb8-4f65-8a63-a8b8847c847e + c224342c-801f-4459-9224-44879ddf539f + d7213532-5e84-4452-8be6-de7278fd0d5b + 170e89e6-0823-483d-b6da-8a61c53027b7 + 82b9d602-bf3a-4de6-b944-fe2247c951ab + 1286c6f1-4f75-44ec-b334-7880fb5f8dd6 + bade2dc2-5919-4723-bde3-ebdd9bc0713a + 27ce5316-f16d-488a-a1b9-8aa96103f1a7 + bf597752-e6d4-4ce1-83f3-62cfda6b3f4f + 3fe78e12-dc17-4eef-876e-a7218b28ee25 + 175ce8c8-265b-4672-b747-2e617bce8bae + 4cffdb4a-a1ed-49d7-ac90-5f7a82c4f4d0 + 4d684f21-0b75-4a95-80eb-e6ed0eb1ba49 + 14 + 777a1d64-6482-4221-8c26-8ff31e84f24a + Group + + + + + + + + + + + 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 + 1d617850-f3e5-4787-bd84-3281835cabb5 + true + Evaluate Length + Evaluate Length + + + + + + 9197 + 19876 + 144 + 64 + + + 9271 + 19908 + + + + + + Curve to evaluate + 9ab92278-21d1-47db-9bd2-e5db6b7df77d + true + Curve + Curve + false + 785870ed-7168-4194-a6cb-1315975c5831 + 1 + + + + + + 9199 + 19878 + 57 + 20 + + + 9229 + 19888 + + + + + + + + Length factor for curve evaluation + faaf8c2d-63fb-466d-9428-5b9c24f3a42e + true + Length + Length + false + 0 + + + + + + 9199 + 19898 + 57 + 20 + + + 9229 + 19908 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 9fe530b0-b1e8-4c75-b77c-713304da3b8e + true + Normalized + Normalized + false + 0 + + + + + + 9199 + 19918 + 57 + 20 + + + 9229 + 19928 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + f60adb7d-32a2-4956-8da7-e1cb3cc7d50e + true + Point + Point + false + 0 + + + + + + 9286 + 19878 + 53 + 20 + + + 9314 + 19888 + + + + + + + + Tangent vector at the specified length + 64338788-525b-45bb-a662-c0cad4655f9c + true + Tangent + Tangent + false + 0 + + + + + + 9286 + 19898 + 53 + 20 + + + 9314 + 19908 + + + + + + + + Curve parameter at the specified length + 07540a67-cca8-4a1c-8c78-62c7b479d5a7 + true + Parameter + Parameter + false + 0 + + + + + + 9286 + 19918 + 53 + 20 + + + 9314 + 19928 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 6d717f7d-ebf6-4079-9aa3-f85139a8884f + true + Mirror + Mirror + + + + + + 9200 + 19814 + 138 + 44 + + + 9268 + 19836 + + + + + + Base geometry + 37a0c615-9a90-4a7a-929b-78e101e9fba7 + true + Geometry + Geometry + true + 785870ed-7168-4194-a6cb-1315975c5831 + 1 + + + + + + 9202 + 19816 + 51 + 20 + + + 9229 + 19826 + + + + + + + + Mirror plane + d27da496-947e-4073-9b75-31a080cc851f + true + Plane + Plane + false + 5b9a01c4-a772-4fcb-af6b-04c554cc4a6d + 1 + + + + + + 9202 + 19836 + 51 + 20 + + + 9229 + 19846 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + f32e5621-6a5e-4367-8e01-4bbe59d960a7 + true + Geometry + Geometry + false + 0 + + + + + + 9283 + 19816 + 53 + 20 + + + 9311 + 19826 + + + + + + + + Transformation data + 903da1f0-6758-4a70-892c-ba182ae90c1b + true + Transform + Transform + false + 0 + + + + + + 9283 + 19836 + 53 + 20 + + + 9311 + 19846 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + ab070339-75ac-48af-8207-0ca30bf14d26 + true + Line SDL + Line SDL + + + + + + 9216 + 19960 + 106 + 64 + + + 9280 + 19992 + + + + + + Line start point + b53c4623-b816-49c4-837b-0d51a03f84b5 + true + Start + Start + false + f60adb7d-32a2-4956-8da7-e1cb3cc7d50e + 1 + + + + + + 9218 + 19962 + 47 + 20 + + + 9243 + 19972 + + + + + + + + Line tangent (direction) + 6282e896-3d03-462c-ad96-71c24e5e8035 + true + Direction + Direction + false + 64338788-525b-45bb-a662-c0cad4655f9c + 1 + + + + + + 9218 + 19982 + 47 + 20 + + + 9243 + 19992 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 251cd52b-2e63-48f0-adb5-543e38cb6186 + true + Length + Length + false + 0 + + + + + + 9218 + 20002 + 47 + 20 + + + 9243 + 20012 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 5b9a01c4-a772-4fcb-af6b-04c554cc4a6d + true + Line + Line + false + 0 + + + + + + 9295 + 19962 + 25 + 60 + + + 9309 + 19992 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 38b3604b-77db-495a-8a08-a39707d7a30c + true + Join Curves + Join Curves + + + + + + 9210 + 19752 + 118 + 44 + + + 9273 + 19774 + + + + + + 1 + Curves to join + 67a544fa-5ce7-4172-99e4-4674816ea679 + true + Curves + Curves + false + 785870ed-7168-4194-a6cb-1315975c5831 + f32e5621-6a5e-4367-8e01-4bbe59d960a7 + 2 + + + + + + 9212 + 19754 + 46 + 20 + + + 9236.5 + 19764 + + + + + + + + Preserve direction of input curves + a164235e-7a15-48e0-a8bf-17f5da2e14c4 + true + Preserve + Preserve + false + 0 + + + + + + 9212 + 19774 + 46 + 20 + + + 9236.5 + 19784 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 56734868-78d6-417f-8d03-973fbd89d392 + true + Curves + Curves + false + 0 + + + + + + 9288 + 19754 + 38 + 40 + + + 9308.5 + 19774 + + + + + + + + + + + + 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 + 1e27447a-66be-4102-a4b5-8b1390997178 + true + Evaluate Length + Evaluate Length + + + + + + 9197 + 19668 + 144 + 64 + + + 9271 + 19700 + + + + + + Curve to evaluate + ae2805ee-2ddc-4cd6-9e9c-dbdccf6b14af + true + Curve + Curve + false + 56734868-78d6-417f-8d03-973fbd89d392 + 1 + + + + + + 9199 + 19670 + 57 + 20 + + + 9229 + 19680 + + + + + + + + Length factor for curve evaluation + 42f8d2dd-c039-4b26-99fc-e207517000a0 + true + Length + Length + false + 0 + + + + + + 9199 + 19690 + 57 + 20 + + + 9229 + 19700 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 4ad0c720-9725-45fc-8aa2-9d38d4ac9873 + true + Normalized + Normalized + false + 0 + + + + + + 9199 + 19710 + 57 + 20 + + + 9229 + 19720 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 479438c8-cc4d-4ec6-b97a-a48c9246d670 + true + Point + Point + false + 0 + + + + + + 9286 + 19670 + 53 + 20 + + + 9314 + 19680 + + + + + + + + Tangent vector at the specified length + 651773b1-f446-47b5-a9da-57955b1a717a + true + Tangent + Tangent + false + 0 + + + + + + 9286 + 19690 + 53 + 20 + + + 9314 + 19700 + + + + + + + + Curve parameter at the specified length + ba8f2ad3-4106-4903-aa88-9cb417bb552b + true + Parameter + Parameter + false + 0 + + + + + + 9286 + 19710 + 53 + 20 + + + 9314 + 19720 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + fb7a1f8d-54ee-4990-b936-573b815e4ff1 + true + Rotate + Rotate + + + + + + 9200 + 19585 + 138 + 64 + + + 9268 + 19617 + + + + + + Base geometry + 6487c664-3c9e-4d2b-b6d5-63b79efc50d8 + true + Geometry + Geometry + true + 56734868-78d6-417f-8d03-973fbd89d392 + 1 + + + + + + 9202 + 19587 + 51 + 20 + + + 9229 + 19597 + + + + + + + + Rotation angle in radians + 626f3b25-df77-4d58-835f-35b8e77efaa1 + true + Angle + Angle + false + 0 + false + + + + + + 9202 + 19607 + 51 + 20 + + + 9229 + 19617 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 378c33e7-73f0-4ed2-987f-62f389d5e365 + true + Plane + Plane + false + 479438c8-cc4d-4ec6-b97a-a48c9246d670 + 1 + + + + + + 9202 + 19627 + 51 + 20 + + + 9229 + 19637 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 7305da96-05a5-4a88-8e52-9c731ded1fad + true + Geometry + Geometry + false + 0 + + + + + + 9283 + 19587 + 53 + 30 + + + 9311 + 19602 + + + + + + + + Transformation data + c6af23b7-4609-4fed-b121-fbc74a3ba695 + true + Transform + Transform + false + 0 + + + + + + 9283 + 19617 + 53 + 30 + + + 9311 + 19632 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 97c40c85-0b82-4dae-888c-d721101ac522 + true + Join Curves + Join Curves + + + + + + 9210 + 19522 + 118 + 44 + + + 9273 + 19544 + + + + + + 1 + Curves to join + c9ebe400-76d5-4b49-84d8-684703748810 + true + Curves + Curves + false + 56734868-78d6-417f-8d03-973fbd89d392 + 7305da96-05a5-4a88-8e52-9c731ded1fad + 2 + + + + + + 9212 + 19524 + 46 + 20 + + + 9236.5 + 19534 + + + + + + + + Preserve direction of input curves + cdf7a826-69de-4c0c-a49c-8ade12a872ee + true + Preserve + Preserve + false + 0 + + + + + + 9212 + 19544 + 46 + 20 + + + 9236.5 + 19554 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 7bcdddd9-8842-4768-ad13-16ebbcdf2485 + true + Curves + Curves + false + 0 + + + + + + 9288 + 19524 + 38 + 40 + + + 9308.5 + 19544 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + eb2a842f-a395-41a0-a667-f7168a1b8090 + 1d617850-f3e5-4787-bd84-3281835cabb5 + 6d717f7d-ebf6-4079-9aa3-f85139a8884f + ab070339-75ac-48af-8207-0ca30bf14d26 + 38b3604b-77db-495a-8a08-a39707d7a30c + 1e27447a-66be-4102-a4b5-8b1390997178 + fb7a1f8d-54ee-4990-b936-573b815e4ff1 + 97c40c85-0b82-4dae-888c-d721101ac522 + cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 + 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d + 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b + d2c8396a-8532-419d-8481-bdd10c5ce58a + db1b8d5e-412a-4412-9349-bb9ad1eae269 + 5c9b2941-e7bb-44a7-8d6a-1ff9d33be17e + 57ec1eb2-bdf2-4ae4-9b47-059230205343 + 15 + dbd93ad4-4190-4668-8af3-d07c04c66dc6 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 13560c87-2332-4330-a49f-82b99b1436c4 + true + Panel + + false + 0 + af9d671f-3736-4822-8551-abf4f79f917b + 1 + Double click to edit panel content… + + + + + + 9204 + 22162 + 145 + 20 + + 0 + 0 + 0 + + 9204.104 + 22162.36 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 + true + Curve + Curve + false + 7bcdddd9-8842-4768-ad13-16ebbcdf2485 + 1 + + + + + + 9252 + 19489 + 50 + 24 + + + 9277.684 + 19501.92 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 + 1 + 49609cea-1a70-45c3-80dc-ea251ad00f53 + Group + Curve + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bf597752-e6d4-4ce1-83f3-62cfda6b3f4f + true + Panel + + false + 0 + 0 + 0.35721403168191375/4/4 + + + + + + 9058 + 22399 + 439 + 20 + + 0 + 0 + 0 + + 9058.664 + 22399.04 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + beb59961-19f0-428e-9f46-fe2528ab7890 + true + Evaluate Length + Evaluate Length + + + + + + 9197 + 19396 + 144 + 64 + + + 9271 + 19428 + + + + + + Curve to evaluate + d2edc271-8fa2-4379-9866-305f92739db3 + true + Curve + Curve + false + 7bcdddd9-8842-4768-ad13-16ebbcdf2485 + 1 + + + + + + 9199 + 19398 + 57 + 20 + + + 9229 + 19408 + + + + + + + + Length factor for curve evaluation + c9a77e6e-10e4-4900-8f14-f53a4ca3ce78 + true + Length + Length + false + 0 + + + + + + 9199 + 19418 + 57 + 20 + + + 9229 + 19428 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 58f813c2-8c1b-446e-869b-94c376452343 + true + Normalized + Normalized + false + 0 + + + + + + 9199 + 19438 + 57 + 20 + + + 9229 + 19448 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + bb1f2c43-4acb-481a-9a05-548b3525f9aa + true + Point + Point + false + 0 + + + + + + 9286 + 19398 + 53 + 20 + + + 9314 + 19408 + + + + + + + + Tangent vector at the specified length + 00f1c670-0e68-4058-81e2-cd0bb7e0e952 + true + Tangent + Tangent + false + 0 + + + + + + 9286 + 19418 + 53 + 20 + + + 9314 + 19428 + + + + + + + + Curve parameter at the specified length + d9e2db33-b2ca-46f1-95bc-2c348e42374c + true + Parameter + Parameter + false + 0 + + + + + + 9286 + 19438 + 53 + 20 + + + 9314 + 19448 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0304cf48-a7fc-4bcc-8650-66449de2135a + true + Expression + Expression + + + + + + 9172 + 19174 + 194 + 28 + + + 9272 + 19188 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9e2cd79e-49c9-471b-ab02-6e27794d7ab3 + true + Variable O + O + true + f0ad1cca-33c4-40d1-b1ab-5626290430c5 + 1 + + + + + + 9174 + 19176 + 14 + 24 + + + 9182.5 + 19188 + + + + + + + + Result of expression + 95a80966-48fc-46d4-894e-2e337adae68e + true + Result + + false + 0 + + + + + + 9355 + 19176 + 9 + 24 + + + 9361 + 19188 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + a8d21499-77ba-4cb5-b537-1b492d0b072d + true + Deconstruct + Deconstruct + + + + + + 9203 + 19308 + 132 + 64 + + + 9250 + 19340 + + + + + + Input point + acb11ef5-76a3-49b3-a75a-b8903a186891 + true + Point + Point + false + bb1f2c43-4acb-481a-9a05-548b3525f9aa + 1 + + + + + + 9205 + 19310 + 30 + 60 + + + 9221.5 + 19340 + + + + + + + + Point {x} component + f0ad1cca-33c4-40d1-b1ab-5626290430c5 + true + X component + X component + false + 0 + + + + + + 9265 + 19310 + 68 + 20 + + + 9300.5 + 19320 + + + + + + + + Point {y} component + 6b708634-6450-40a7-911d-c0990e63d131 + true + Y component + Y component + false + 0 + + + + + + 9265 + 19330 + 68 + 20 + + + 9300.5 + 19340 + + + + + + + + Point {z} component + 8c1d0499-da22-4d25-9bcd-93852c241588 + true + Z component + Z component + false + 0 + + + + + + 9265 + 19350 + 68 + 20 + + + 9300.5 + 19360 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab + true + Panel + + false + 0 + 95a80966-48fc-46d4-894e-2e337adae68e + 1 + Double click to edit panel content… + + + + + + 9196 + 19155 + 160 + 20 + + 0 + 0 + 0 + + 9196.455 + 19155.5 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5ba680bf-5f36-48f2-b02f-fc20f272de3d + true + Expression + Expression + + + + + + 9172 + 19088 + 194 + 28 + + + 9272 + 19102 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 886162c7-0004-44bb-b245-02e14506027e + true + Variable O + O + true + 6b708634-6450-40a7-911d-c0990e63d131 + 1 + + + + + + 9174 + 19090 + 14 + 24 + + + 9182.5 + 19102 + + + + + + + + Result of expression + 8259b3ad-7bf2-4c66-8b75-b449c63a7de6 + true + Result + + false + 0 + + + + + + 9355 + 19090 + 9 + 24 + + + 9361 + 19102 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3b2adea6-57f3-403d-b72b-1544d3bf2abf + true + Panel + + false + 0 + 8259b3ad-7bf2-4c66-8b75-b449c63a7de6 + 1 + Double click to edit panel content… + + + + + + 9196 + 19067 + 160 + 20 + + 0 + 0 + 0 + + 9196.455 + 19067.08 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 551339a5-7ce0-4224-9324-ed0296881b78 + true + Division + Division + + + + + + 9228 + 18986 + 82 + 44 + + + 9259 + 19008 + + + + + + Item to divide (dividend) + 1663c29c-e0bb-4a6d-a2b4-986b5cd29530 + true + A + A + false + 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab + 1 + + + + + + 9230 + 18988 + 14 + 20 + + + 9238.5 + 18998 + + + + + + + + Item to divide with (divisor) + c48e1b8a-1a3d-48f2-a5a2-05cb99eea602 + true + B + B + false + 3b2adea6-57f3-403d-b72b-1544d3bf2abf + 1 + + + + + + 9230 + 19008 + 14 + 20 + + + 9238.5 + 19018 + + + + + + + + The result of the Division + c4ea3552-07a3-4752-98b4-709a106f0d82 + true + Result + Result + false + 0 + + + + + + 9274 + 18988 + 34 + 40 + + + 9292.5 + 19008 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + fac3ba7c-9c82-400d-8c85-ee5c865de4a4 + true + Panel + + false + 0 + af9d671f-3736-4822-8551-abf4f79f917b + 1 + Double click to edit panel content… + + + + + + 9196 + 18900 + 160 + 20 + + 0 + 0 + 0 + + 9196.693 + 18900.56 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + a8da2956-af99-4098-8c44-b5ecafad51ab + true + Expression + Expression + + + + + + 9172 + 18939 + 194 + 28 + + + 9272 + 18953 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 02c56d24-49df-46f2-a1d9-1f98f6966225 + true + Variable O + O + true + c4ea3552-07a3-4752-98b4-709a106f0d82 + 1 + + + + + + 9174 + 18941 + 14 + 24 + + + 9182.5 + 18953 + + + + + + + + Result of expression + cb5163d9-e511-4ae5-9806-6a961797bc7b + true + Result + + false + 0 + + + + + + 9355 + 18941 + 9 + 24 + + + 9361 + 18953 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + af9d671f-3736-4822-8551-abf4f79f917b + true + Relay + + false + cb5163d9-e511-4ae5-9806-6a961797bc7b + 1 + + + + + + 9249 + 18864 + 40 + 16 + + + 9269 + 18872 + + + + + + + + + + a0d62394-a118-422d-abb3-6af115c75b25 + Addition + + + + + Mathematical addition + true + 4850df6e-1289-45cc-bc62-0c065424321f + true + Addition + Addition + + + + + + 9228 + 18801 + 82 + 44 + + + 9259 + 18823 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for addition + b00b210f-f410-4a05-993b-a6d4e517404d + true + A + A + true + 3b2adea6-57f3-403d-b72b-1544d3bf2abf + 1 + + + + + + 9230 + 18803 + 14 + 20 + + + 9238.5 + 18813 + + + + + + + + Second item for addition + 0757895c-3f22-4a92-a3f9-4a6d06c66e34 + true + B + B + true + 3f2c26a5-5bd0-4ea3-a2f3-bd6cde2079ab + 1 + + + + + + 9230 + 18823 + 14 + 20 + + + 9238.5 + 18833 + + + + + + + + Result of addition + 102bb354-2996-4152-9553-bc085627892a + true + Result + Result + false + 0 + + + + + + 9274 + 18803 + 34 + 40 + + + 9292.5 + 18823 + + + + + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 7cc36c08-4a10-44c0-9661-d1009f358693 + true + Division + Division + + + + + + 9228 + 18651 + 82 + 44 + + + 9259 + 18673 + + + + + + Item to divide (dividend) + 1a3a5920-77a0-44dd-8d3b-398e078fbe80 + true + A + A + false + 4a4f4785-005f-4c36-abe9-497bfc357b48 + 1 + + + + + + 9230 + 18653 + 14 + 20 + + + 9238.5 + 18663 + + + + + + + + Item to divide with (divisor) + 9eba7a2b-2583-42f2-9cf1-ec493fba577c + true + B + B + false + 0 + + + + + + 9230 + 18673 + 14 + 20 + + + 9238.5 + 18683 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 2 + + + + + + + + + + + The result of the Division + edbd19a0-f034-45e2-aeca-fdfb724c0f48 + true + Result + Result + false + 0 + + + + + + 9274 + 18653 + 34 + 40 + + + 9292.5 + 18673 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 0dae7229-a981-46e0-bb9d-860d9430cf7b + true + Expression + Expression + + + + + + 9172 + 18603 + 194 + 28 + + + 9272 + 18617 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 086e3bcd-75c1-49e2-9ad0-5f267e7302c2 + true + Variable O + O + true + edbd19a0-f034-45e2-aeca-fdfb724c0f48 + 1 + + + + + + 9174 + 18605 + 14 + 24 + + + 9182.5 + 18617 + + + + + + + + Result of expression + ddd8762d-5223-4073-a498-edecf4c04a7c + true + Result + + false + 0 + + + + + + 9355 + 18605 + 9 + 24 + + + 9361 + 18617 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3f846370-657a-4b9d-ad02-96c4d9f2915e + true + Panel + + false + 0 + ddd8762d-5223-4073-a498-edecf4c04a7c + 1 + Double click to edit panel content… + + + + + + 9196 + 18583 + 160 + 20 + + 0 + 0 + 0 + + 9196.455 + 18583.42 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4a4f4785-005f-4c36-abe9-497bfc357b48 + true + Panel + + false + 0 + 800ceadc-9e33-4948-bd24-1eba79149738 + 1 + Double click to edit panel content… + + + + + + 9196 + 18735 + 160 + 20 + + 0 + 0 + 0 + + 9196.455 + 18735.33 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 55787898-278b-4394-8fb9-e372fd6c279e + true + Expression + Expression + + + + + + 9172 + 18754 + 194 + 28 + + + 9272 + 18768 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 8bccb91b-f108-453e-9cc0-f4aad976b9d4 + true + Variable O + O + true + 102bb354-2996-4152-9553-bc085627892a + 1 + + + + + + 9174 + 18756 + 14 + 24 + + + 9182.5 + 18768 + + + + + + + + Result of expression + 800ceadc-9e33-4948-bd24-1eba79149738 + true + Result + + false + 0 + + + + + + 9355 + 18756 + 9 + 24 + + + 9361 + 18768 + + + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 16241c5b-95ba-488a-8cb8-302f94aab8b1 + true + Scale + Scale + + + + + + 9192 + 18480 + 154 + 64 + + + 9276 + 18512 + + + + + + Base geometry + 4e318cd1-249b-41b6-8f00-368583d06bd2 + true + Geometry + Geometry + true + cc428a05-f2a3-4bc8-aa4c-1ac905951fa9 + 1 + + + + + + 9194 + 18482 + 67 + 20 + + + 9237 + 18492 + + + + + + + + Center of scaling + 60b407ac-f449-48eb-a3cf-7523cdd42d28 + true + Center + Center + false + 0 + + + + + + 9194 + 18502 + 67 + 20 + + + 9237 + 18512 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + c5d241da-3273-4b8d-a096-7de3a340fd9e + 1/X + true + Factor + Factor + false + 3f846370-657a-4b9d-ad02-96c4d9f2915e + 1 + + + + + + 9194 + 18522 + 67 + 20 + + + 9237 + 18532 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + bd9f8aef-4554-460c-a7b9-7520ac9f3277 + true + Geometry + Geometry + false + 0 + + + + + + 9291 + 18482 + 53 + 30 + + + 9319 + 18497 + + + + + + + + Transformation data + 1d4d383c-9b94-4180-988f-af16be28aa92 + true + Transform + Transform + false + 0 + + + + + + 9291 + 18512 + 53 + 30 + + + 9319 + 18527 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + adf83129-215a-4938-be3d-47d1a82da650 + true + Curve + Curve + false + bd9f8aef-4554-460c-a7b9-7520ac9f3277 + 1 + + + + + + 9250 + 17888 + 50 + 24 + + + 9275.434 + 17900.92 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 8b2e8ccc-1d3f-4467-8a7d-76db9d271482 + true + Expression + Expression + + + + + + 9172 + 19261 + 194 + 28 + + + 9272 + 19275 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d1f6ae33-3f9d-4684-ae67-4f451855d065 + true + Variable O + O + true + 8c1d0499-da22-4d25-9bcd-93852c241588 + 1 + + + + + + 9174 + 19263 + 14 + 24 + + + 9182.5 + 19275 + + + + + + + + Result of expression + 6fea29eb-a368-47ad-b32d-bdf64de6ea8a + true + Result + + false + 0 + + + + + + 9355 + 19263 + 9 + 24 + + + 9361 + 19275 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f57c4b4a-115b-43b2-994f-2217561c619c + true + Panel + + false + 0 + 6fea29eb-a368-47ad-b32d-bdf64de6ea8a + 1 + Double click to edit panel content… + + + + + + 9197 + 19241 + 160 + 20 + + 0 + 0 + 0 + + 9197.324 + 19241.27 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 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 + 48c1450b-113e-4f0e-883e-18eca0eec5a3 + true + Evaluate Length + Evaluate Length + + + + + + 9197 + 18270 + 144 + 64 + + + 9271 + 18302 + + + + + + Curve to evaluate + 103b28d3-6b40-4d07-b989-0043b6ca4c72 + true + Curve + Curve + false + bd9f8aef-4554-460c-a7b9-7520ac9f3277 + 1 + + + + + + 9199 + 18272 + 57 + 20 + + + 9229 + 18282 + + + + + + + + Length factor for curve evaluation + 3e24fd91-7cb3-48b2-aa98-242400098f44 + true + Length + Length + false + 0 + + + + + + 9199 + 18292 + 57 + 20 + + + 9229 + 18302 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 0d237493-8278-4465-834a-516113255495 + true + Normalized + Normalized + false + 0 + + + + + + 9199 + 18312 + 57 + 20 + + + 9229 + 18322 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 64c719d4-4369-4432-910b-044205d72ce5 + true + Point + Point + false + 0 + + + + + + 9286 + 18272 + 53 + 20 + + + 9314 + 18282 + + + + + + + + Tangent vector at the specified length + 77052456-3532-47cd-8ee0-5abcf060635e + true + Tangent + Tangent + false + 0 + + + + + + 9286 + 18292 + 53 + 20 + + + 9314 + 18302 + + + + + + + + Curve parameter at the specified length + fd91882d-4d21-4d5c-be6f-7c62add03ea5 + true + Parameter + Parameter + false + 0 + + + + + + 9286 + 18312 + 53 + 20 + + + 9314 + 18322 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 02fbeae1-9aa8-46e0-9d9c-664e1e333613 + true + Expression + Expression + + + + + + 9172 + 18053 + 194 + 28 + + + 9272 + 18067 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f76e3278-a09f-408b-ab49-589027e1da27 + true + Variable O + O + true + ac39f15b-f959-4cbf-9ea1-14221568cb97 + 1 + + + + + + 9174 + 18055 + 14 + 24 + + + 9182.5 + 18067 + + + + + + + + Result of expression + 5d470041-28a0-4540-898d-ded8365caa46 + true + Result + + false + 0 + + + + + + 9355 + 18055 + 9 + 24 + + + 9361 + 18067 + + + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 1853c135-e40d-42f1-b137-d067d992777d + true + Deconstruct + Deconstruct + + + + + + 9203 + 18187 + 132 + 64 + + + 9250 + 18219 + + + + + + Input point + 9fd297f4-5ec3-414b-bce9-51436bef8b67 + true + Point + Point + false + 64c719d4-4369-4432-910b-044205d72ce5 + 1 + + + + + + 9205 + 18189 + 30 + 60 + + + 9221.5 + 18219 + + + + + + + + Point {x} component + ac39f15b-f959-4cbf-9ea1-14221568cb97 + true + X component + X component + false + 0 + + + + + + 9265 + 18189 + 68 + 20 + + + 9300.5 + 18199 + + + + + + + + Point {y} component + afde3a2f-ac28-4b69-8c07-18b71327f490 + true + Y component + Y component + false + 0 + + + + + + 9265 + 18209 + 68 + 20 + + + 9300.5 + 18219 + + + + + + + + Point {z} component + 6bf03d96-1c42-439d-a09d-3679172ab7f2 + true + Z component + Z component + false + 0 + + + + + + 9265 + 18229 + 68 + 20 + + + 9300.5 + 18239 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ea44be3b-6a32-40ae-8c3e-f3a93a5747b7 + true + Panel + + false + 0 + 5d470041-28a0-4540-898d-ded8365caa46 + 1 + Double click to edit panel content… + + + + + + 9196 + 18028 + 160 + 20 + + 0 + 0 + 0 + + 9196.705 + 18028.85 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e2c05755-5629-4a6c-b861-546e7afab9ab + true + Expression + Expression + + + + + + 9172 + 17967 + 194 + 28 + + + 9272 + 17981 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 231f91a0-962e-4ea2-b027-d0e83a654eb3 + true + Variable O + O + true + afde3a2f-ac28-4b69-8c07-18b71327f490 + 1 + + + + + + 9174 + 17969 + 14 + 24 + + + 9182.5 + 17981 + + + + + + + + Result of expression + f9c8896e-4546-4e2a-a63e-3f95d6ba4a52 + true + Result + + false + 0 + + + + + + 9355 + 17969 + 9 + 24 + + + 9361 + 17981 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 48de1dbe-2eec-4842-ac37-4b7870464e31 + true + Panel + + false + 0 + f9c8896e-4546-4e2a-a63e-3f95d6ba4a52 + 1 + Double click to edit panel content… + + + + + + 9196 + 17943 + 160 + 20 + + 0 + 0 + 0 + + 9196.715 + 17943.21 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d49af78f-71dd-4c54-8395-8dbfc64b7443 + true + Expression + Expression + + + + + + 9172 + 18139 + 194 + 28 + + + 9272 + 18153 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 472ab227-dde5-4121-92d8-b3c61375871b + true + Variable O + O + true + 6bf03d96-1c42-439d-a09d-3679172ab7f2 + 1 + + + + + + 9174 + 18141 + 14 + 24 + + + 9182.5 + 18153 + + + + + + + + Result of expression + 7f3d43cd-e967-463b-8378-8bba7ab78079 + true + Result + + false + 0 + + + + + + 9355 + 18141 + 9 + 24 + + + 9361 + 18153 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b32cfad3-c586-46bc-b8b7-c18cda99cc37 + true + Panel + + false + 0 + 7f3d43cd-e967-463b-8378-8bba7ab78079 + 1 + Double click to edit panel content… + + + + + + 9196 + 18115 + 160 + 20 + + 0 + 0 + 0 + + 9196.455 + 18115.06 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3fe78e12-dc17-4eef-876e-a7218b28ee25 + true + Panel + + false + 0 + 0 + 1 16 0.35721403168191375 +1 256 0.0014014999884235925 +1 4096 + + + + + + 9088 + 22469 + 379 + 104 + + 0 + 0 + 0 + + 9088.113 + 22469.51 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + cae291b5-909f-42aa-82b4-b311788dad66 + true + Panel + + false + 0 + fa4f3b8c-b571-4a59-87b3-13b92c1fffe4 + 1 + Double click to edit panel content… + + + + + + 9108 + 20478 + 337 + 276 + + 0 + 0 + 0 + + 9108.645 + 20478.84 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d6a65cf3-3c57-4aab-8be1-8f4ffb307b50 + true + Expression + Expression + + + + + + 9172 + 20761 + 194 + 28 + + + 9272 + 20775 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 04481ca9-57fe-4cc4-a0d0-c4cbbf6e80d8 + true + Variable O + O + true + 981930d9-4b2a-4b10-8210-cbef51e1dcc0 + 1 + + + + + + 9174 + 20763 + 14 + 24 + + + 9182.5 + 20775 + + + + + + + + Result of expression + fa4f3b8c-b571-4a59-87b3-13b92c1fffe4 + true + Result + + false + 0 + + + + + + 9355 + 20763 + 9 + 24 + + + 9361 + 20775 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 29b40471-71d6-4c88-b1ed-616dd8d46c9b + true + Number + Number + false + 841bc79c-9937-423d-9430-76e4ebfeb004 + 1 + + + + + + 9260 + 22879 + 50 + 24 + + + 9285.414 + 22891.16 + + + + + + + + + + cae9fe53-6d63-44ed-9d6d-13180fbf6f89 + 1c9de8a1-315f-4c56-af06-8f69fee80a7a + Curve Graph Mapper + + + + + Remap values with a custom graph using input curves. + true + 57ca2b82-e6ca-4f33-9af0-b056547d4b2c + true + Curve Graph Mapper + Curve Graph Mapper + + + + + + 9100 + 21043 + 160 + 224 + + + 9168 + 21155 + + + + + + 1 + One or multiple graph curves to graph map values with + 2e9ac8ff-0e8f-4b3e-bdd1-938f3af97dca + true + Curves + Curves + false + 54e0f04e-597a-4145-af9f-0a3289f1e95b + 1 + + + + + + 9102 + 21045 + 51 + 27 + + + 9129 + 21058.75 + + + + + + + + Rectangle which defines the boundary of the graph, graph curves should be atleast partially inside this boundary + c27d9d11-87f5-44a9-b7d4-63754ec9140a + true + Rectangle + Rectangle + false + 6b649df7-8f2d-4dba-8246-390ecc22d5e8 + 1 + + + + + + 9102 + 21072 + 51 + 28 + + + 9129 + 21086.25 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + 0 + 1 + 0 + 1 + + + + + + + + + + + + 1 + Values to graph map. Values are plotted along the X Axis, intersected with the graph curves, then mapped to the Y Axis + dbd9ccc3-6bf5-42d6-bd11-4f359734b7c3 + true + Values + Values + false + 5cd2669e-4aec-471a-b8a7-2754c45d0366 + 1 + + + + + + 9102 + 21100 + 51 + 27 + + + 9129 + 21113.75 + + + + + + + + Domain of the graphs X Axis, where the values get plotted (if omitted the input value lists domain bounds is used) + 97b5db9b-b313-4da6-b095-21a69f27e3ba + true + X Axis + X Axis + true + 0 + + + + + + 9102 + 21127 + 51 + 28 + + + 9129 + 21141.25 + + + + + + + + Domain of the graphs Y Axis, where the values get mapped to (if omitted the input value lists domain bounds is used) + 6d246813-09ff-437b-b0a2-a2a4ea12f08d + true + Y Axis + Y Axis + true + 0 + + + + + + 9102 + 21155 + 51 + 27 + + + 9129 + 21168.75 + + + + + + + + Flip the graphs X Axis from the bottom of the graph to the top of the graph + a5c9ce89-fec3-4a85-a31b-475aab401a9e + true + Flip + Flip + false + 0 + + + + + + 9102 + 21182 + 51 + 28 + + + 9129 + 21196.25 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Resize the graph by snapping it to the extents of the graph curves, in the plane of the boundary rectangle + d3cfbb68-a437-4930-8eca-f3eae2ef2bc2 + true + Snap + Snap + false + 0 + + + + + + 9102 + 21210 + 51 + 27 + + + 9129 + 21223.75 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Size of the graph labels + e52494be-f286-4fdd-b148-bc4a346ad3a0 + true + Text Size + Text Size + false + 0 + + + + + + 9102 + 21237 + 51 + 28 + + + 9129 + 21251.25 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + 1 + Resulting graph mapped values, mapped on the Y Axis + 194fa741-c363-404c-b4b4-5f4b86c20aed + true + Mapped + Mapped + false + 0 + + + + + + 9183 + 21045 + 75 + 20 + + + 9222 + 21055 + + + + + + + + 1 + The graph curves inside the boundary of the graph + 567d46c4-62a7-491d-b937-f15c9bfd2e5a + true + Graph Curves + Graph Curves + false + 0 + + + + + + 9183 + 21065 + 75 + 20 + + + 9222 + 21075 + + + + + + + + 1 + The points on the graph curves where the X Axis input values intersected + true + 789e481e-0b6c-4233-9f02-b5ae22ea5973 + true + Graph Points + Graph Points + false + 0 + + + + + + 9183 + 21085 + 75 + 20 + + + 9222 + 21095 + + + + + + + + 1 + The lines from the X Axis input values to the graph curves + true + fbf49b93-e6df-4cf7-a025-3f0e7dd19f57 + true + Value Lines + Value Lines + false + 0 + + + + + + 9183 + 21105 + 75 + 20 + + + 9222 + 21115 + + + + + + + + 1 + The points plotted on the X Axis which represent the input values + true + 4c688169-6149-4e43-8a49-e8f7e747a312 + true + Value Points + Value Points + false + 0 + + + + + + 9183 + 21125 + 75 + 20 + + + 9222 + 21135 + + + + + + + + 1 + The lines from the graph curves to the Y Axis graph mapped values + true + 8f94437c-df45-4de3-8c60-33f3e5e3a226 + true + Mapped Lines + Mapped Lines + false + 0 + + + + + + 9183 + 21145 + 75 + 20 + + + 9222 + 21155 + + + + + + + + 1 + The points mapped on the Y Axis which represent the graph mapped values + true + e90896ff-ee3c-4b4f-bf72-562a33ed0d77 + true + Mapped Points + Mapped Points + false + 0 + + + + + + 9183 + 21165 + 75 + 20 + + + 9222 + 21175 + + + + + + + + The graph boundary background as a surface + 2cae3db5-9ddd-4f06-a369-21d3746fd984 + true + Boundary + Boundary + false + 0 + + + + + + 9183 + 21185 + 75 + 20 + + + 9222 + 21195 + + + + + + + + 1 + The graph labels as curve outlines + f51cd5be-ee13-4dc5-b124-6c65342f0f14 + true + Labels + Labels + false + 0 + + + + + + 9183 + 21205 + 75 + 20 + + + 9222 + 21215 + + + + + + + + 1 + True for input values outside of the X Axis domain bounds +False for input values inside of the X Axis domain bounds + 5c9c1a8b-93c4-40f3-bd11-eda4919bb862 + true + Out Of Bounds + Out Of Bounds + false + 0 + + + + + + 9183 + 21225 + 75 + 20 + + + 9222 + 21235 + + + + + + + + 1 + True for input values on the X Axis which intersect a graph curve +False for input values on the X Axis which do not intersect a graph curve + 92a4b1c8-a464-493a-a212-c23bf7f8acb0 + true + Intersected + Intersected + false + 0 + + + + + + 9183 + 21245 + 75 + 20 + + + 9222 + 21255 + + + + + + + + + + + + 11bbd48b-bb0a-4f1b-8167-fa297590390d + End Points + + + + + Extract the end points of a curve. + true + 5449d956-2675-4285-951d-b70810171010 + true + End Points + End Points + + + + + + 9221 + 21468 + 96 + 44 + + + 9271 + 21490 + + + + + + Curve to evaluate + a07a2a99-3653-488f-8be3-4418b9940352 + true + Curve + Curve + false + 54e0f04e-597a-4145-af9f-0a3289f1e95b + 1 + + + + + + 9223 + 21470 + 33 + 40 + + + 9241 + 21490 + + + + + + + + Curve start point + 09b02ffb-1ff4-4435-9385-58acaec45fa8 + true + Start + Start + false + 0 + + + + + + 9286 + 21470 + 29 + 20 + + + 9302 + 21480 + + + + + + + + Curve end point + 0ec6d2ef-6861-403f-846c-5a4935a67831 + true + End + End + false + 0 + + + + + + 9286 + 21490 + 29 + 20 + + + 9302 + 21500 + + + + + + + + + + + + 575660b1-8c79-4b8d-9222-7ab4a6ddb359 + Rectangle 2Pt + + + + + Create a rectangle from a base plane and two points + true + 67fedd6d-2205-4e18-9171-cbde1d5c2e46 + true + Rectangle 2Pt + Rectangle 2Pt + + + + + + 9211 + 21340 + 126 + 84 + + + 9269 + 21382 + + + + + + Rectangle base plane + bd13ffaf-1719-4749-8f9a-591d3b4c8b6c + true + Plane + Plane + false + 0 + + + + + + 9213 + 21342 + 41 + 20 + + + 9235 + 21352 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + First corner point. + 8853abc6-b124-4355-ab2c-8b213565937c + true + Point A + Point A + false + 09b02ffb-1ff4-4435-9385-58acaec45fa8 + 1 + + + + + + 9213 + 21362 + 41 + 20 + + + 9235 + 21372 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Second corner point. + 33249685-4698-4381-bf8a-cf6bdba67c85 + true + Point B + Point B + false + 0ec6d2ef-6861-403f-846c-5a4935a67831 + 1 + + + + + + 9213 + 21382 + 41 + 20 + + + 9235 + 21392 + + + + + + 1 + + + + + 1 + {0;0;0;0;0} + + + + + + + 1 + 1 + 0 + + + + + + + + + + + + Rectangle corner fillet radius + 903db31b-0233-4cc1-9eed-1996ef6328eb + true + Radius + Radius + false + 0 + + + + + + 9213 + 21402 + 41 + 20 + + + 9235 + 21412 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Rectangle defined by P, A and B + 6b649df7-8f2d-4dba-8246-390ecc22d5e8 + true + Rectangle + Rectangle + false + 0 + + + + + + 9284 + 21342 + 51 + 40 + + + 9311 + 21362 + + + + + + + + Length of rectangle curve + 4fdb0f86-644f-46ab-9691-3c31dbd64e14 + true + Length + Length + false + 0 + + + + + + 9284 + 21382 + 51 + 40 + + + 9311 + 21402 + + + + + + + + + + + + 310f9597-267e-4471-a7d7-048725557528 + 08bdcae0-d034-48dd-a145-24a9fcf3d3ff + GraphMapper+ + + + + + External Graph mapper +You can Right click on the Heteromapper's icon and choose "AutoDomain" mode to define Output domain based on input domain interval; otherwise it'll be set to 0-1 in "Normalized" mode. + true + 340f190e-6016-465d-ac0f-373367888e16 + true + GraphMapper+ + GraphMapper+ + + + + + true + + + + + + 9260 + 21163 + 126 + 104 + + + 9327 + 21215 + + + + + + External curve as a graph + cc95c75d-9fd7-4590-9d24-4b932521675c + true + Curve + Curve + false + 54e0f04e-597a-4145-af9f-0a3289f1e95b + 1 + + + + + + 9262 + 21165 + 50 + 20 + + + 9288.5 + 21175 + + + + + + + + Optional Rectangle boundary. If omitted the curve's would be landed + 9d1237cc-a40b-46c0-a394-1f6261eded7a + true + Boundary + Boundary + true + 6b649df7-8f2d-4dba-8246-390ecc22d5e8 + 1 + + + + + + 9262 + 21185 + 50 + 20 + + + 9288.5 + 21195 + + + + + + + + 1 + List of input numbers + d95a76b8-5507-4409-8e63-b798f18deb58 + true + Numbers + Numbers + false + 5cd2669e-4aec-471a-b8a7-2754c45d0366 + 1 + + + + + + 9262 + 21205 + 50 + 20 + + + 9288.5 + 21215 + + + + + + 1 + + + + + 9 + {0} + + + + + 0.1 + + + + + 0.2 + + + + + 0.3 + + + + + 0.4 + + + + + 0.5 + + + + + 0.6 + + + + + 0.7 + + + + + 0.8 + + + + + 0.9 + + + + + + + + + + + (Optional) Input Domain +if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + 84777dc8-665f-45bf-b2a2-3f27181bfcdf + true + Input + Input + true + fec395cf-00f8-4e2f-a499-53f29b784cc0 + 1 + + + + + + 9262 + 21225 + 50 + 20 + + + 9288.5 + 21235 + + + + + + + + (Optional) Output Domain + if omitted, it would be 0-1 in "Normalize" mode by default + or be the interval of the input list in case of selecting "AutoDomain" mode + fa9e33f8-d941-4cf9-901b-3aa6c9f09363 + true + Output + Output + true + fec395cf-00f8-4e2f-a499-53f29b784cc0 + 1 + + + + + + 9262 + 21245 + 50 + 20 + + + 9288.5 + 21255 + + + + + + + + 1 + Output Numbers + 27b02828-1bb6-4399-b066-bb1d5018e44a + true + Number + Number + false + 0 + + + + + + 9342 + 21165 + 42 + 100 + + + 9364.5 + 21215 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + a08ec1bc-7d44-4b5f-86b0-78148107593e + true + Stream Filter + Stream Filter + + + + + + 9235 + 20960 + 89 + 64 + + + 9280 + 20992 + + + + + + 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 + 9456b298-8f79-494f-a8fc-986a4a9dc156 + true + Gate + Gate + false + 354dfcc3-0b67-4297-a62c-b55f2f567519 + 1 + + + + + + 9237 + 20962 + 28 + 20 + + + 9252.5 + 20972 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 6af91969-cc6c-4ec5-a821-1d2c016642d7 + true + false + Stream 0 + 0 + true + 194fa741-c363-404c-b4b4-5f4b86c20aed + 1 + + + + + + 9237 + 20982 + 28 + 20 + + + 9252.5 + 20992 + + + + + + + + 2 + Input stream at index 1 + 889ec784-0271-4f86-905a-8d35d3c5c6d8 + true + false + Stream 1 + 1 + true + 27b02828-1bb6-4399-b066-bb1d5018e44a + 1 + + + + + + 9237 + 21002 + 28 + 20 + + + 9252.5 + 21012 + + + + + + + + 2 + Filtered stream + 42c35aa7-cdbc-4be6-97e3-313e6cf9e229 + true + false + Stream + S(1) + false + 0 + + + + + + 9295 + 20962 + 27 + 60 + + + 9310 + 20992 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 348dcc14-62a3-4d82-9951-97beb79884ee + true + Number Slider + + false + 0 + + + + + + 9213 + 20883 + 150 + 20 + + + 9213.074 + 20883.44 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 1 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 175ce8c8-265b-4672-b747-2e617bce8bae + true + Panel + + false + 1 + f6ec9b0e-1959-4307-b8be-1846cbb24f9f + 1 + Double click to edit panel content… + + + + + + 9187 + 21665 + 185 + 271 + + 0 + 0 + 0 + + 9187.145 + 21665.71 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 27ce5316-f16d-488a-a1b9-8aa96103f1a7 + true + Bounds + Bounds + + + + + + 9210 + 21607 + 122 + 28 + + + 9274 + 21621 + + + + + + 1 + Numbers to include in Bounds + 41bf4d99-9629-467a-a4c5-47f3a406be80 + true + Numbers + Numbers + false + 5cd2669e-4aec-471a-b8a7-2754c45d0366 + 1 + + + + + + 9212 + 21609 + 47 + 24 + + + 9237 + 21621 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + fec395cf-00f8-4e2f-a499-53f29b784cc0 + true + Domain + Domain + false + 0 + + + + + + 9289 + 21609 + 41 + 24 + + + 9311 + 21621 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 4cffdb4a-a1ed-49d7-ac90-5f7a82c4f4d0 + true + Expression + Expression + + + + + + 9172 + 22021 + 194 + 28 + + + 9272 + 22035 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 1fd7c6b3-7d0f-4813-9338-313a746d02ee + true + Variable O + O + true + 5cd2669e-4aec-471a-b8a7-2754c45d0366 + 1 + + + + + + 9174 + 22023 + 14 + 24 + + + 9182.5 + 22035 + + + + + + + + Result of expression + f6ec9b0e-1959-4307-b8be-1846cbb24f9f + true + Result + + false + 0 + + + + + + 9355 + 22023 + 9 + 24 + + + 9361 + 22035 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000000000}",O) + true + 7f7a3dbe-41bb-4147-86f8-d889f01d5876 + true + Expression + Expression + + + + + + 9086 + 22253 + 367 + 28 + + + 9272 + 22267 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9158bda3-7386-4205-ae80-9071f7ee2493 + true + Variable O + O + true + 0c73dfab-a73a-4c0b-8a5f-cfa5642dea2e + 1 + + + + + + 9088 + 22255 + 14 + 24 + + + 9096.5 + 22267 + + + + + + + + Result of expression + 5994ba27-9f08-4c92-b80a-2f52996fba15 + true + Result + + false + 0 + + + + + + 9442 + 22255 + 9 + 24 + + + 9448 + 22267 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f6a9ded4-3b5b-4b16-90c6-185afd448198 + true + Panel + + false + 0 + 5994ba27-9f08-4c92-b80a-2f52996fba15 + 1 + Double click to edit panel content… + + + + + + 9187 + 22202 + 179 + 20 + + 0 + 0 + 0 + + 9187.283 + 22202.58 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + adf83129-215a-4938-be3d-47d1a82da650 + 1 + 43753d2c-fbd3-4f99-8b7e-646c3b4a63f0 + Group + Curve + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + beb8b866-28da-4aab-b549-e1451e63528b + true + Scale + Scale + + + + + + 9192 + 18395 + 154 + 64 + + + 9276 + 18427 + + + + + + Base geometry + db7dc39c-5412-417b-836d-4839c574db6f + true + Geometry + Geometry + true + d2c8396a-8532-419d-8481-bdd10c5ce58a + 1 + + + + + + 9194 + 18397 + 67 + 20 + + + 9237 + 18407 + + + + + + + + Center of scaling + 6838292b-e2ee-44d9-af19-86f2996c448d + true + Center + Center + false + 0 + + + + + + 9194 + 18417 + 67 + 20 + + + 9237 + 18427 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + bb469a39-2105-40f8-8814-257017096b66 + 1/X + true + Factor + Factor + false + 3f846370-657a-4b9d-ad02-96c4d9f2915e + 1 + + + + + + 9194 + 18437 + 67 + 20 + + + 9237 + 18447 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + ebb40015-b064-4c46-836b-5e8e3ecbcc4d + true + Geometry + Geometry + false + 0 + + + + + + 9291 + 18397 + 53 + 30 + + + 9319 + 18412 + + + + + + + + Transformation data + a4167d31-bdec-452f-8d2d-c61605eee113 + true + Transform + Transform + false + 0 + + + + + + 9291 + 18427 + 53 + 30 + + + 9319 + 18442 + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 09967293-5e47-4acc-bdd9-021303a75163 + true + Point + Point + false + ebb40015-b064-4c46-836b-5e8e3ecbcc4d + 1 + + + + + + 9251 + 18367 + 50 + 24 + + + 9276.434 + 18379.1 + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 2fc80a44-8804-4877-b49b-3501b0d8d6f4 + true + Mirror + Mirror + + + + + + 9197 + 17595 + 138 + 44 + + + 9265 + 17617 + + + + + + Base geometry + 3a7472ba-c5e8-4523-9df5-76bac2d08d0d + true + Geometry + Geometry + true + adf83129-215a-4938-be3d-47d1a82da650 + 1 + + + + + + 9199 + 17597 + 51 + 20 + + + 9226 + 17607 + + + + + + + + Mirror plane + fe5a353c-3c3e-46c3-a3c5-354f2ebae868 + true + Plane + Plane + false + 0 + + + + + + 9199 + 17617 + 51 + 20 + + + 9226 + 17627 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + bb3ddc06-ecf9-4ad1-8171-c168e0bbabf9 + true + Geometry + Geometry + false + 0 + + + + + + 9280 + 17597 + 53 + 20 + + + 9308 + 17607 + + + + + + + + Transformation data + f4bdb86e-f989-492d-a8b9-68a0269b48e2 + true + Transform + Transform + false + 0 + + + + + + 9280 + 17617 + 53 + 20 + + + 9308 + 17627 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9fc3eda7-d22b-4858-9e35-874868e02c53 + true + Curve + Curve + false + 2e2f5849-d603-4f48-a080-0edf6662328e + 1 + + + + + + 9250 + 17498 + 50 + 24 + + + 9275.684 + 17510.1 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 54e0f04e-597a-4145-af9f-0a3289f1e95b + true + Relay + + false + 9f075226-9de4-41cb-acf3-b0d1dbb4f6ec + 1 + + + + + + 9249 + 21539 + 40 + 16 + + + 9269 + 21547 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 5b7c3df7-2185-4f89-8c08-caf78e94db64 + true + Curve + Curve + false + fa03931f-f4f8-4f14-8042-b8b91912613e + 1 + + + + + + 8799 + 21925 + 50 + 24 + + + 8824.479 + 21937.04 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9f075226-9de4-41cb-acf3-b0d1dbb4f6ec + true + Curve + Curve + false + c01a4474-a643-4cdf-a161-a250c3d98283 + 1 + + + + + + 8799 + 21643 + 50 + 24 + + + 8824.58 + 21655.38 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 57a3cade-967c-4227-bf83-8c72131bbb5c + true + Scale + Scale + + + + + + 8740 + 21672 + 154 + 64 + + + 8824 + 21704 + + + + + + Base geometry + 7ea43ff8-36e5-4ccf-9eeb-4964d5025193 + true + Geometry + Geometry + true + 5b7c3df7-2185-4f89-8c08-caf78e94db64 + 1 + + + + + + 8742 + 21674 + 67 + 20 + + + 8785 + 21684 + + + + + + + + Center of scaling + f7575d08-9876-4111-aa86-92cb25eae5c9 + true + Center + Center + false + 0 + + + + + + 8742 + 21694 + 67 + 20 + + + 8785 + 21704 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 3beb0053-ed39-4cd7-98de-b9c76c2ecb31 + 2^X + true + Factor + Factor + false + 9b841fa1-df46-463a-8a58-7dc4660c77b4 + 1 + + + + + + 8742 + 21714 + 67 + 20 + + + 8785 + 21724 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + c01a4474-a643-4cdf-a161-a250c3d98283 + true + Geometry + Geometry + false + 0 + + + + + + 8839 + 21674 + 53 + 30 + + + 8867 + 21689 + + + + + + + + Transformation data + b75d941a-c129-49f6-abd6-73965cc2afda + true + Transform + Transform + false + 0 + + + + + + 8839 + 21704 + 53 + 30 + + + 8867 + 21719 + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5b7c3df7-2185-4f89-8c08-caf78e94db64 + 9f075226-9de4-41cb-acf3-b0d1dbb4f6ec + 57a3cade-967c-4227-bf83-8c72131bbb5c + 27899f96-8899-44d3-a06c-50d23c4c5623 + 21306a40-33c6-4391-a43a-ca231577eb1b + 76eb1ee2-321f-4766-850a-f1cb357c12f3 + 90afcf43-cc85-4018-bdda-b1f34b70dfed + 6166ffc3-f563-4c74-888d-123659087092 + 49899599-a7b9-4ec5-9218-093b9cde73ce + 44248de2-665a-4000-b154-d2ec4869b7a3 + 10 + da525afb-fa9f-4e21-ac12-acbf97366f74 + Group + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + add20bae-e52c-49ee-bb21-e5508403ec1c + true + Move + Move + + + + + + 9197 + 17531 + 138 + 44 + + + 9265 + 17553 + + + + + + Base geometry + 37cb37cc-4078-4c52-a89f-29b2c3224acf + true + Geometry + Geometry + true + adf83129-215a-4938-be3d-47d1a82da650 + 1 + + + + + + 9199 + 17533 + 51 + 20 + + + 9226 + 17543 + + + + + + + + Translation vector + 9aeeb9dd-dea6-436c-90b3-0ff40e093543 + true + Motion + Motion + false + c3fcf4bf-859e-443f-bfe8-47d5e2042873 + 1 + + + + + + 9199 + 17553 + 51 + 20 + + + 9226 + 17563 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 3 + 0 + + + + + + + + + + + + Translated geometry + 2e2f5849-d603-4f48-a080-0edf6662328e + true + Geometry + Geometry + false + 0 + + + + + + 9280 + 17533 + 53 + 20 + + + 9308 + 17543 + + + + + + + + Transformation data + 0987860a-899c-452a-9f45-4fe630f20764 + true + Transform + Transform + false + 0 + + + + + + 9280 + 17553 + 53 + 20 + + + 9308 + 17563 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 21306a40-33c6-4391-a43a-ca231577eb1b + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 30.9312132004 + + + + + + 8699 + 21868 + 250 + 20 + + + 8699.879 + 21868.46 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 76eb1ee2-321f-4766-850a-f1cb357c12f3 + true + Panel + + false + 0 + 0 + 16.93121320041889709 + + + + + + 8757 + 21768 + 144 + 20 + + 0 + 0 + 0 + + 8757.039 + 21768.08 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 90afcf43-cc85-4018-bdda-b1f34b70dfed + true + Curve + Curve + false + 0 + + + + + + 8799 + 21600 + 50 + 24 + + + 8824.58 + 21612.38 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 6166ffc3-f563-4c74-888d-123659087092 + true + Curve + Curve + false + 0 + + + + + + 8801 + 22057 + 50 + 24 + + + 8826.529 + 22069.21 + + + + + + 1 + + + + + 1 + {0;0;0;0} + + + + + -1 + + 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 + + 00000000-0000-0000-0000-000000000000 + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e5651227-c26d-44b7-9deb-a849b476e495 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 9057 + 22450 + 439 + 20 + + 0 + 0 + 0 + + 9057.664 + 22450.04 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6c60cce1-63ea-4385-aabe-af9ce8af0091 + true + Panel + + false + 0 + f7d18941-85b1-4239-8098-7b14404aed2c + 1 + 0.00032220000 +0.00000220000 + + + + + + 9057 + 22573 + 439 + 22 + + 0 + 0 + 0 + + 9057.975 + 22573.98 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + f7bbd50f-abd0-41c3-bf47-aeeb74527a4d + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.00007777700 + + + + + + 9150 + 22715 + 251 + 20 + + + 9150.574 + 22715.41 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 83155b01-ba3a-437f-a348-00c3806bfdf9 + true + Panel + + false + 0 + 0 + 0.00137956207 + + + + + + 9058 + 22695 + 439 + 20 + + 0 + 0 + 0 + + 9058.414 + 22695.56 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + 1/X + true + 4d684f21-0b75-4a95-80eb-e6ed0eb1ba49 + true + Expression + + + + + + + 9237 + 22817 + 79 + 28 + + + 9279 + 22831 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7aa160a4-303c-47a1-837c-296940f1bc6d + true + Variable X + X + true + 29b40471-71d6-4c88-b1ed-616dd8d46c9b + 1 + + + + + + 9239 + 22819 + 14 + 24 + + + 9247.5 + 22831 + + + + + + + + Result of expression + 3441c199-dcc1-4b33-934b-cfbae9c4275e + true + Result + + false + 0 + + + + + + 9305 + 22819 + 9 + 24 + + + 9311 + 22831 + + + + + + + + + + + + + + fbac3e32-f100-4292-8692-77240a42fd1a + Point + + + + + Contains a collection of three-dimensional points + true + 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d + true + Point + Point + false + 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b + 1 + + + + + + 9273 + 20349 + 50 + 24 + + + 9298.395 + 20361.13 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 1f429ea5-caf2-4335-839e-c4a1fc6e4f3b + true + Relay + + false + 981930d9-4b2a-4b10-8210-cbef51e1dcc0 + 1 + + + + + + 9273 + 20391 + 40 + 16 + + + 9293 + 20399 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d2c8396a-8532-419d-8481-bdd10c5ce58a + true + Relay + + false + 3593eb76-1aa0-4606-83ba-47769dd07fb1 + 1 + + + + + + 9273 + 20168 + 40 + 16 + + + 9293 + 20176 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + db1b8d5e-412a-4412-9349-bb9ad1eae269 + true + Scale + Scale + + + + + + 9216 + 20204 + 154 + 64 + + + 9300 + 20236 + + + + + + Base geometry + 9763e9d0-6808-4451-b267-fe0754231503 + true + Geometry + Geometry + true + 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d + 1 + + + + + + 9218 + 20206 + 67 + 20 + + + 9261 + 20216 + + + + + + + + Center of scaling + c3ce551a-4728-4229-ba5b-75612147a87f + true + Center + Center + false + 0 + + + + + + 9218 + 20226 + 67 + 20 + + + 9261 + 20236 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + b48f27dc-e7da-453a-b901-607a9dd5f2e6 + 2^X + true + Factor + Factor + false + 57ec1eb2-bdf2-4ae4-9b47-059230205343 + 1 + + + + + + 9218 + 20246 + 67 + 20 + + + 9261 + 20256 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 3593eb76-1aa0-4606-83ba-47769dd07fb1 + true + Geometry + Geometry + false + 0 + + + + + + 9315 + 20206 + 53 + 30 + + + 9343 + 20221 + + + + + + + + Transformation data + 0fd4e94b-674b-4e12-8222-5e633896455e + true + Transform + Transform + false + 0 + + + + + + 9315 + 20236 + 53 + 30 + + + 9343 + 20251 + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 57ec1eb2-bdf2-4ae4-9b47-059230205343 + true + Digit Scroller + + false + 0 + + + + + 12 + + 7 + + 16.00000 + + + + + + 9178 + 20293 + 250 + 20 + + + 9178.174 + 20293.48 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 7755e3e6-ee6a-4ca5-b0ae-de3494cb158d + 1 + 5c9b2941-e7bb-44a7-8d6a-1ff9d33be17e + Group + Point + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + f7d18941-85b1-4239-8098-7b14404aed2c + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 1 + + 0.02196259374 + + + + + + 9150 + 22615 + 251 + 20 + + + 9150.074 + 22615.71 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 44248de2-665a-4000-b154-d2ec4869b7a3 + true + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0000000000 + + + + + + 8700 + 21823 + 250 + 20 + + + 8700.027 + 21823.67 + + + + + + + + + + 56b92eab-d121-43f7-94d3-6cd8f0ddead8 + Vector XYZ + + + + + Create a vector from {xyz} components. + true + 11f7fad5-5c45-4475-b82b-a3f9574c63cf + true + Vector XYZ + Vector XYZ + + + + + + 9196 + 17668 + 139 + 64 + + + 9281 + 17700 + + + + + + Vector {x} component + b9697c30-ac00-45bd-b69c-e8c250226712 + true + X component + X component + false + 0 + + + + + + 9198 + 17670 + 68 + 20 + + + 9233.5 + 17680 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Vector {y} component + 3cc8e6e4-8ff0-431d-898f-8900012e8ae8 + true + Y component + Y component + false + 0 + + + + + + 9198 + 17690 + 68 + 20 + + + 9233.5 + 17700 + + + + + + 1 + + + + + 1 + {0} + + + + + 4 + + + + + + + + + + + Vector {z} component + eff5a4ae-77ec-4b01-8431-25c35fe96e41 + true + Z component + Z component + false + 0 + + + + + + 9198 + 17710 + 68 + 20 + + + 9233.5 + 17720 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Vector construct + c3fcf4bf-859e-443f-bfe8-47d5e2042873 + true + Vector + Vector + false + 0 + + + + + + 9296 + 17670 + 37 + 30 + + + 9316 + 17685 + + + + + + + + Vector length + e30a28ea-d7b0-4e70-8428-aba91372d73b + true + Length + Length + false + 0 + + + + + + 9296 + 17700 + 37 + 30 + + + 9316 + 17715 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + 49899599-a7b9-4ec5-9218-093b9cde73ce + true + Stream Filter + Stream Filter + + + + + + 8779 + 21965 + 89 + 64 + + + 8824 + 21997 + + + + + + 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 + 45beebc5-a6a8-48d2-8c54-a118427a1614 + true + Gate + Gate + false + cd2b1132-cbf4-4723-9453-261983046e3b + 1 + + + + + + 8781 + 21967 + 28 + 20 + + + 8796.5 + 21977 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + 263beaac-46fa-4c21-9f3c-11632989d692 + true + false + Stream 0 + 0 + true + f85f3458-b345-4cb9-b89c-3dfad93a636a + 1 + + + + + + 8781 + 21987 + 28 + 20 + + + 8796.5 + 21997 + + + + + + + + 2 + Input stream at index 1 + 895f000e-c8bc-4b8f-98ca-18595c632e2a + true + false + Stream 1 + 1 + true + a907a344-b9c0-468b-a400-728beb37d17d + 1 + + + + + + 8781 + 22007 + 28 + 20 + + + 8796.5 + 22017 + + + + + + + + 2 + Filtered stream + fa03931f-f4f8-4f14-8042-b8b91912613e + true + false + Stream + S(1) + false + 0 + + + + + + 8839 + 21967 + 27 + 60 + + + 8854 + 21997 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 354dfcc3-0b67-4297-a62c-b55f2f567519 + true + Relay + + false + 2a43fe8e-ea02-487e-9e91-e4c760c0fcaf + 1 + + + + + + 9249 + 20937 + 40 + 16 + + + 9269 + 20945 + + + + + + + + + + 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 + 5ec1468c-7072-409a-b450-23cc52f50492 + true + Evaluate Length + Evaluate Length + + + + + + 4736 + 4793 + 144 + 64 + + + 4810 + 4825 + + + + + + Curve to evaluate + 3d6f9a87-6a01-4358-8238-62a09288677a + true + Curve + Curve + false + d83ebbab-2a2c-4827-8f4a-d8944e735e7f + 1 + + + + + + 4738 + 4795 + 57 + 20 + + + 4768 + 4805 + + + + + + + + Length factor for curve evaluation + 51090ef9-606a-4392-b7d2-2ad0e9908f6a + true + Length + Length + false + 0 + + + + + + 4738 + 4815 + 57 + 20 + + + 4768 + 4825 + + + + + + 1 + + + + + 2 + {0} + + + + + 0.25 + + + + + 0.75 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 56782bd2-c22a-434b-8f3b-77c6da96c73a + true + Normalized + Normalized + false + 0 + + + + + + 4738 + 4835 + 57 + 20 + + + 4768 + 4845 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 518b32c4-4ad4-45c1-85f3-f5f61ef28642 + true + Point + Point + false + 0 + + + + + + 4825 + 4795 + 53 + 20 + + + 4853 + 4805 + + + + + + + + Tangent vector at the specified length + 7cf7eabd-9540-49c2-8c45-789f83434d04 + true + Tangent + Tangent + false + 0 + + + + + + 4825 + 4815 + 53 + 20 + + + 4853 + 4825 + + + + + + + + Curve parameter at the specified length + 0ee1400d-b18d-4a9b-8d92-abaebe8cc7ba + true + Parameter + Parameter + false + 0 + + + + + + 4825 + 4835 + 53 + 20 + + + 4853 + 4845 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + cbdc5900-c640-4e50-b572-e0f6d83bda24 + true + Curve + Curve + false + 93b915bb-0b04-40c0-b5d7-ab8ee7db0f17 + 1 + + + + + + 4783 + 4750 + 50 + 24 + + + 4808.946 + 4762.826 + + + + + + + + + + 50b204ef-d3de-41bb-a006-02fba2d3f709 + Circle TanTan + + + + + Create a circle tangent to two curves. + true + 27b179cc-34ee-440e-a769-dff3af94186f + true + Circle TanTan + Circle TanTan + + + + + + 4753 + 4664 + 110 + 64 + + + 4814 + 4696 + + + + + + First curve for tangency constraint + 4bdf725d-151e-4674-8093-c74ef3d23400 + true + Curve A + Curve A + false + d83ebbab-2a2c-4827-8f4a-d8944e735e7f + 1 + + + + + + 4755 + 4666 + 44 + 20 + + + 4778.5 + 4676 + + + + + + + + Second curve for tangency constraint + 0adf72b3-9d2a-4588-9635-980470d94134 + true + Curve B + Curve B + false + cbdc5900-c640-4e50-b572-e0f6d83bda24 + 1 + + + + + + 4755 + 4686 + 44 + 20 + + + 4778.5 + 4696 + + + + + + + + Circle center point guide + fb57fc4b-316b-404b-9a6a-607a33d5a3a5 + true + Point + Point + false + 518b32c4-4ad4-45c1-85f3-f5f61ef28642 + 1 + + + + + + 4755 + 4706 + 44 + 20 + + + 4778.5 + 4716 + + + + + + + + Resulting circle + f7d75c41-0766-45d4-987d-471d28807fd5 + true + Circle + Circle + false + 0 + + + + + + 4829 + 4666 + 32 + 60 + + + 4846.5 + 4696 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + d83ebbab-2a2c-4827-8f4a-d8944e735e7f + true + Curve + Curve + false + c1394789-448d-4011-a7a5-a9c725907596 + 1 + + + + + + 4784 + 4883 + 50 + 24 + + + 4809.178 + 4895.128 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5ec1468c-7072-409a-b450-23cc52f50492 + cbdc5900-c640-4e50-b572-e0f6d83bda24 + 27b179cc-34ee-440e-a769-dff3af94186f + d83ebbab-2a2c-4827-8f4a-d8944e735e7f + 4 + 0c2cef2d-afcf-49fc-87e3-cb06fd125232 + Group + + + + + + + + + + + 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 + 050ff4c6-5e3a-42b4-884c-6668bfb2028c + true + Evaluate Length + Evaluate Length + + + + + + 4675 + 1835 + 144 + 64 + + + 4749 + 1867 + + + + + + Curve to evaluate + ea76c455-f784-49bb-916c-996662f20c6e + true + Curve + Curve + false + 6c5be315-72f9-4f83-bd95-31f05355bdd6 + 1 + + + + + + 4677 + 1837 + 57 + 20 + + + 4707 + 1847 + + + + + + + + Length factor for curve evaluation + e3cbf1c3-ad24-42fc-837a-7b6b6e2fef7f + true + Length + Length + false + 0 + + + + + + 4677 + 1857 + 57 + 20 + + + 4707 + 1867 + + + + + + 1 + + + + + 4 + {0} + + + + + 0.125 + + + + + 0.375 + + + + + 0.625 + + + + + 0.875 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 8be0fa3f-ef5f-4ea1-a62e-fce4ab46c9e8 + true + Normalized + Normalized + false + 0 + + + + + + 4677 + 1877 + 57 + 20 + + + 4707 + 1887 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + f0eacf5c-7f2b-490a-88f7-5d7d054e781d + true + Point + Point + false + 0 + + + + + + 4764 + 1837 + 53 + 20 + + + 4792 + 1847 + + + + + + + + Tangent vector at the specified length + cf10899e-4fa4-431a-a765-54fcebee7d0e + true + Tangent + Tangent + false + 0 + + + + + + 4764 + 1857 + 53 + 20 + + + 4792 + 1867 + + + + + + + + Curve parameter at the specified length + b4128996-872c-4a0d-a19f-b5d9d4327dd7 + true + Parameter + Parameter + false + 0 + + + + + + 4764 + 1877 + 53 + 20 + + + 4792 + 1887 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + eba2a948-272f-4b81-806e-38f2dab7bb0b + true + Curve + Curve + false + 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c + 1 + + + + + + 4723 + 1795 + 50 + 24 + + + 4748.779 + 1807.179 + + + + + + + + + + 50b204ef-d3de-41bb-a006-02fba2d3f709 + Circle TanTan + + + + + Create a circle tangent to two curves. + true + 90282883-c970-4b3c-bc6c-f80056eece86 + true + Circle TanTan + Circle TanTan + + + + + + 4692 + 1706 + 110 + 64 + + + 4753 + 1738 + + + + + + First curve for tangency constraint + b4d35273-9196-482a-9312-c6b6cbb8ad78 + true + Curve A + Curve A + false + 6c5be315-72f9-4f83-bd95-31f05355bdd6 + 1 + + + + + + 4694 + 1708 + 44 + 20 + + + 4717.5 + 1718 + + + + + + + + Second curve for tangency constraint + 94142f16-5bfc-42c7-8289-f5a7b4ffced1 + true + Curve B + Curve B + false + eba2a948-272f-4b81-806e-38f2dab7bb0b + 1 + + + + + + 4694 + 1728 + 44 + 20 + + + 4717.5 + 1738 + + + + + + + + Circle center point guide + bd644067-b4b1-4145-9ba1-52b1fbae7946 + true + Point + Point + false + f0eacf5c-7f2b-490a-88f7-5d7d054e781d + 1 + + + + + + 4694 + 1748 + 44 + 20 + + + 4717.5 + 1758 + + + + + + + + Resulting circle + ae02f50d-8b08-4d00-aa74-bc7568e10c35 + true + Circle + Circle + false + 0 + + + + + + 4768 + 1708 + 32 + 60 + + + 4785.5 + 1738 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 6c5be315-72f9-4f83-bd95-31f05355bdd6 + true + Curve + Curve + false + c1394789-448d-4011-a7a5-a9c725907596 + 1 + + + + + + 4724 + 1927 + 50 + 24 + + + 4749.011 + 1939.481 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 050ff4c6-5e3a-42b4-884c-6668bfb2028c + eba2a948-272f-4b81-806e-38f2dab7bb0b + 90282883-c970-4b3c-bc6c-f80056eece86 + 6c5be315-72f9-4f83-bd95-31f05355bdd6 + 4 + 0cb9ef0c-db4c-4371-af99-71ba7b815715 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 6f5ccfd4-8dcc-4da6-8c58-ec4cfa131a83 + 76219d2c-a796-4d1d-8236-63f5e832f6ef + 068d9ddb-da71-48db-aefb-aef7beb59557 + b24c9513-1e7d-4d2e-a986-354e8f5a9ae3 + 71708354-403b-4e3a-bbe5-2dc4643bbe9c + 52cef7aa-5821-4b1f-9b5a-7c19c5aee6f3 + fde6343a-f9d7-4c21-80dc-47b9338936e3 + 2984718d-063a-4632-92c4-4aeee62839b7 + 8bec9f0b-acb3-4318-b690-7f524d24faa3 + f2ae82af-893f-4877-be23-51a1c9ac4592 + c0c5cf9e-a76c-48c0-8409-578eb6c6bd0b + 52abf5f7-6725-4187-9689-0f84a0e7c3ce + 5c3f9e81-3d49-45aa-b872-ea80a910db14 + 173d3877-9b54-4d39-bc8a-a9d714d53b98 + e3ad63ac-cab3-425e-bc6e-77ef52eae732 + c36c35db-46d3-471e-bf13-99083fb06848 + b7826491-b185-412e-9d32-92b7cbe0cbaf + 9c8e42ec-afbe-4493-a857-2910b3a3d5d1 + dda26e08-664b-4b02-8304-34bddc8ec9d8 + cd4aaa78-bb6c-43bd-ae4e-037d66f67954 + 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b + 304e5ccb-5a35-4e0c-8b92-206985fc9cf3 + 25493dac-1f0f-4b75-8b92-6eec422efc11 + 6dd5f4ed-a71f-43b5-9556-d3ab2e83be7a + ed78892a-320b-476c-8c93-6a7fa7e08ddd + 67028c15-5934-458f-ab2a-9f38d9cd0ed5 + e6d66e97-4999-47ab-aafa-1244fd466ec2 + 9ac4b811-e818-4cae-b5a8-1125c38df8ce + 26626c04-163a-4a20-980f-a24b2f442126 + e7098bff-3c56-4289-ab1d-5e2df2dc2cfb + 8429a1af-d262-4516-8ba6-4819d9bce080 + 23015bee-c083-4af1-a5dc-e173dadaafa5 + 1107e188-eef7-4c19-ae98-e31de26131c5 + 0d5480fd-b809-4f0b-985d-ac75960fc64f + 85d75ab8-1a3b-48c1-a00b-452e5ebf23fb + 35 + 69501a35-c065-4628-8fa4-7d215f9ed096 + Group + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + 6f5ccfd4-8dcc-4da6-8c58-ec4cfa131a83 + true + Divide Curve + Divide Curve + + + + + + 7900 + 26319 + 141 + 64 + + + 7966 + 26351 + + + + + + Curve to divide + 5775d2e6-8867-428a-a33f-300c521ca40f + true + Curve + Curve + false + da8d0ba5-6c5a-492f-8951-4179f7e097d6 + 1 + + + + + + 7902 + 26321 + 49 + 20 + + + 7936 + 26331 + + + + + + + + Number of segments + bfa8e3d6-972e-4656-9c98-194bea652b12 + X/2 + true + Count + Count + false + f2ae82af-893f-4877-be23-51a1c9ac4592 + 1 + + + + + + 7902 + 26341 + 49 + 20 + + + 7936 + 26351 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + ee1008f5-110c-4c81-98f0-9c71fce61994 + true + Kinks + Kinks + false + 0 + + + + + + 7902 + 26361 + 49 + 20 + + + 7936 + 26371 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + ec22aaa1-91f3-436f-992d-9793dbd0829c + true + Points + Points + false + 0 + + + + + + 7981 + 26321 + 58 + 20 + + + 8011.5 + 26331 + + + + + + + + 1 + Tangent vectors at division points + 55445ab0-c508-414a-b3fd-8da992ff2e0e + true + Tangents + Tangents + false + 0 + + + + + + 7981 + 26341 + 58 + 20 + + + 8011.5 + 26351 + + + + + + + + 1 + Parameter values at division points + e92db23c-2238-481a-ac95-536e04e8244f + true + Parameters + Parameters + false + 0 + + + + + + 7981 + 26361 + 58 + 20 + + + 8011.5 + 26371 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 76219d2c-a796-4d1d-8236-63f5e832f6ef + true + Line SDL + Line SDL + + + + + + 7910 + 26401 + 122 + 64 + + + 7990 + 26433 + + + + + + Line start point + 6d24916a-023d-4e52-9f50-43ba060e99d6 + true + Start + Start + false + 0 + + + + + + 7912 + 26403 + 63 + 20 + + + 7953 + 26413 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + f764c62e-c930-4ec3-a9a1-553e298b108e + true + Direction + Direction + false + 0 + + + + + + 7912 + 26423 + 63 + 20 + + + 7953 + 26433 + + + + + + 1 + + + + + 1 + {0} + + + + + + 1 + 0 + 0 + + + + + + + + + + + + Line length + de4da49f-25f1-487c-925c-51e6fd73e37c + X/2 + true + Length + Length + false + 0 + + + + + + 7912 + 26443 + 63 + 20 + + + 7953 + 26453 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + da8d0ba5-6c5a-492f-8951-4179f7e097d6 + true + Line + Line + false + 0 + + + + + + 8005 + 26403 + 25 + 60 + + + 8019 + 26433 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + true + 068d9ddb-da71-48db-aefb-aef7beb59557 + true + Line SDL + Line SDL + + + + + + 7918 + 26237 + 106 + 64 + + + 7982 + 26269 + + + + + + Line start point + 1f32f464-b573-4d7c-9a66-9a4dfda50cde + true + Start + Start + false + ec22aaa1-91f3-436f-992d-9793dbd0829c + 1 + + + + + + 7920 + 26239 + 47 + 20 + + + 7945 + 26249 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Line tangent (direction) + 53130629-d335-4c98-9cc8-e3b74022cedd + true + Direction + Direction + false + 0 + + + + + + 7920 + 26259 + 47 + 20 + + + 7945 + 26269 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + 0 + + + + + + + + + + + + Line length + 0e2288b3-b722-40ed-a616-d3d5c375a9b4 + true + Length + Length + false + 0 + + + + + + 7920 + 26279 + 47 + 20 + + + 7945 + 26289 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 43239747-5011-4f84-82c8-9838b5a52246 + true + Line + Line + false + 0 + + + + + + 7997 + 26239 + 25 + 60 + + + 8011 + 26269 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b24c9513-1e7d-4d2e-a986-354e8f5a9ae3 + true + Panel + + false + 1 + c36c35db-46d3-471e-bf13-99083fb06848 + 1 + Double click to edit panel content… + + + + + + 8047 + 24573 + 194 + 292 + + 0 + 0 + 0 + + 8047.257 + 24573.99 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 71708354-403b-4e3a-bbe5-2dc4643bbe9c + true + Deconstruct + Deconstruct + + + + + + 7897 + 25017 + 148 + 64 + + + 7944 + 25049 + + + + + + Input point + 4efd78a2-7e6d-47c1-8ca4-9dfd643f7355 + true + Point + Point + false + b54f308e-40d5-49cf-9603-04608ca6bb66 + 1 + + + + + + 7899 + 25019 + 30 + 60 + + + 7915.5 + 25049 + + + + + + + + Point {x} component + 37df28d9-8586-4c7b-a27d-45da18678ae7 + true + 2 + X component + X component + false + 0 + + + + + + 7959 + 25019 + 84 + 20 + + + 7994.5 + 25029 + + + + + + + + Point {y} component + 94347c95-768a-47fd-8559-3a3d676c08c0 + true + 2 + Y component + Y component + false + 0 + + + + + + 7959 + 25039 + 84 + 20 + + + 7994.5 + 25049 + + + + + + + + Point {z} component + d2ab3e3e-5cf1-4338-a2de-92f08ea76a61 + true + Z component + Z component + false + 0 + + + + + + 7959 + 25059 + 84 + 20 + + + 7994.5 + 25069 + + + + + + + + + + + + 079bd9bd-54a0-41d4-98af-db999015f63d + VB Script + + + + + A VB.NET scriptable component + true + 52cef7aa-5821-4b1f-9b5a-7c19c5aee6f3 + true + VB Script + TxtWriter + true + 0 + If activate Then + + Dim i As Integer + Dim aryText(4) As String + + aryText(0) = "Mary WriteLine" + aryText(1) = "Had" + aryText(2) = "Another" + aryText(3) = "Little" + aryText(4) = "One" + + ' the data is appended to the file. If file doesnt exist, a new file is created + Dim objWriter As New System.IO.StreamWriter(filePath, append) + + For i = 0 To data.Count - 1 + objWriter.WriteLine(data(i)) + Next + + objWriter.Close() + + End If + + If clearFile Then + Dim objWriter As New System.IO.StreamWriter(filePath, False) + objWriter.Close() + End If + + + + + + + 7913 + 24440 + 115 + 104 + + + 7989 + 24492 + + + + + + 5 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 2 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + true + Script Variable filePath + eeff5738-3482-4de7-955e-a389e7914aa9 + true + filePath + filePath + true + 0 + true + fde6343a-f9d7-4c21-80dc-47b9338936e3 + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 7915 + 24442 + 59 + 20 + + + 7954 + 24452 + + + + + + + + 1 + true + Script Variable data + 5b402d51-384d-4a10-8428-deda114a56e6 + true + 1 + data + data + true + 1 + true + b24c9513-1e7d-4d2e-a986-354e8f5a9ae3 + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 7915 + 24462 + 59 + 20 + + + 7954 + 24472 + + + + + + + + true + Script Variable append + a26a48dc-fe87-4578-8c8b-d56a771284b0 + true + append + append + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 7915 + 24482 + 59 + 20 + + + 7954 + 24492 + + + + + + + + true + Script Variable activate + 03d28d7d-51cb-4315-91d6-47dc9518eb86 + true + activate + activate + true + 0 + true + 2984718d-063a-4632-92c4-4aeee62839b7 + 1 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 7915 + 24502 + 59 + 20 + + + 7954 + 24512 + + + + + + + + true + Script Variable clearFile + eae95419-3b18-41fd-a9b7-5f80a49eb70e + true + clearFile + clearFile + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 7915 + 24522 + 59 + 20 + + + 7954 + 24532 + + + + + + + + Print, Reflect and Error streams + ec4aaa9f-29c7-47d0-a52f-d320db00eb29 + true + out + out + false + 0 + + + + + + 8004 + 24442 + 22 + 50 + + + 8016.5 + 24467 + + + + + + + + Output parameter A + 5bcc2175-7d09-4612-8d8d-639ff06b7b04 + true + A + A + false + 0 + + + + + + 8004 + 24492 + 22 + 50 + + + 8016.5 + 24517 + + + + + + + + + + + + + + 06953bda-1d37-4d58-9b38-4b3c74e54c8f + File Path + + + + + Contains a collection of file paths + false + All files|*.* + fde6343a-f9d7-4c21-80dc-47b9338936e3 + true + File Path + File Path + false + 0 + + + + + + 7948 + 24573 + 50 + 24 + + + 7973.636 + 24585.27 + + + + + + 1 + + + + + 1 + {0} + + + + + false + C:\IICSA.O__4201_EDIWID_1_TNEMERCNI__TNEIDARG_PUKOOL_ROLOC_HTOMS_3_DIOMGIS_ERUTAWRUC_RAENIL_DEPAM_4_NOITISNART_EGDE_LUF_EKUN__O__NUKE_FUL_EDGE_TRANSITION_4_MAPED_LINEAR_CURWATURE_SIGMOID_3_SMOTH_COLOR_LOOKUP_GRADIENT__INCREMENT_1_DIWIDE_1024__O.ASCII + + + + + + + + + + + + + a8b97322-2d53-47cd-905e-b932c3ccd74e + Button + + + + + Button object with two values + False + True + 2984718d-063a-4632-92c4-4aeee62839b7 + true + Button + + false + 0 + + + + + + 7938 + 24399 + 66 + 22 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 521ed613-25c1-489c-b2c8-a04049f666a7 + true + Curve + Curve + false + e67debd2-544c-4a62-830a-f5782ec6d95b + 1 + + + + + + 9395 + 26710 + 50 + 24 + + + 9420.133 + 26722.31 + + + + + + + + + + 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 + 5852cf2b-5c75-4d2e-88bf-7551693f5b70 + true + Evaluate Length + Evaluate Length + + + + + + 9336 + 26612 + 160 + 64 + + + 9426 + 26644 + + + + + + Curve to evaluate + 350118a9-96e7-4469-a619-1f7ed75378b1 + true + Curve + Curve + false + 521ed613-25c1-489c-b2c8-a04049f666a7 + 1 + + + + + + 9338 + 26614 + 73 + 20 + + + 9384 + 26624 + + + + + + + + Length factor for curve evaluation + 9e0429d4-965b-4f03-b9b0-6d23587b2259 + true + 1 + Length + Length + false + 0 + + + + + + 9338 + 26634 + 73 + 20 + + + 9384 + 26644 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 29ab7d26-4edd-4e96-a08c-064d6ceb2feb + true + Normalized + Normalized + false + 0 + + + + + + 9338 + 26654 + 73 + 20 + + + 9384 + 26664 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 3d372719-a185-4a67-981a-e138021e5cf5 + true + Point + Point + false + 0 + + + + + + 9441 + 26614 + 53 + 20 + + + 9469 + 26624 + + + + + + + + Tangent vector at the specified length + 6c06032c-d4b6-4dbb-98b9-42c861c606be + true + Tangent + Tangent + false + 0 + + + + + + 9441 + 26634 + 53 + 20 + + + 9469 + 26644 + + + + + + + + Curve parameter at the specified length + 62fba0cd-3499-4c4f-92e9-989df1d888d8 + true + Parameter + Parameter + false + 0 + + + + + + 9441 + 26654 + 53 + 20 + + + 9469 + 26664 + + + + + + + + + + + + fad344bc-09b1-4855-a2e6-437ef5715fe3 + YZ Plane + + + + + World YZ plane. + true + 64c31320-fe0c-4d9d-9435-c30addf1e792 + true + YZ Plane + YZ Plane + + + + + + 9367 + 26565 + 98 + 28 + + + 9417 + 26579 + + + + + + Origin of plane + ee99e0ab-f6fd-4e5b-91a2-a98ef8f58eea + true + Origin + Origin + false + 3d372719-a185-4a67-981a-e138021e5cf5 + 1 + + + + + + 9369 + 26567 + 33 + 24 + + + 9387 + 26579 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + World YZ plane + 5a9ab425-4a63-488e-857d-137a5c535e43 + true + Plane + Plane + false + 0 + + + + + + 9432 + 26567 + 31 + 24 + + + 9449 + 26579 + + + + + + + + + + + + f12daa2f-4fd5-48c1-8ac3-5dea476912ca + Mirror + + + + + Mirror an object. + true + 2615fdb0-3475-497f-baf7-10291ca370d9 + true + Mirror + Mirror + + + + + + 9347 + 26503 + 138 + 44 + + + 9415 + 26525 + + + + + + Base geometry + 5d5fd96f-000c-4dc2-96d2-b4d9a36dea43 + true + Geometry + Geometry + true + 521ed613-25c1-489c-b2c8-a04049f666a7 + 1 + + + + + + 9349 + 26505 + 51 + 20 + + + 9376 + 26515 + + + + + + + + Mirror plane + 445ffcbd-d5eb-4719-b746-bc9a7202ab94 + true + Plane + Plane + false + 5a9ab425-4a63-488e-857d-137a5c535e43 + 1 + + + + + + 9349 + 26525 + 51 + 20 + + + 9376 + 26535 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + + + + + + + + + + + + Mirrored geometry + 78ee7afd-dcc5-4181-b1f8-8efb0eae7d14 + true + Geometry + Geometry + false + 0 + + + + + + 9430 + 26505 + 53 + 20 + + + 9458 + 26515 + + + + + + + + Transformation data + 96433806-a59c-43aa-a65d-fb5a1b7c075c + true + Transform + Transform + false + 0 + + + + + + 9430 + 26525 + 53 + 20 + + + 9458 + 26535 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + 76834849-4407-4202-8ec6-cfcf435a188d + true + Join Curves + Join Curves + + + + + + 9357 + 26441 + 118 + 44 + + + 9420 + 26463 + + + + + + 1 + Curves to join + 7d4ab061-6904-44af-9180-2992d2ce469b + true + Curves + Curves + false + 521ed613-25c1-489c-b2c8-a04049f666a7 + 78ee7afd-dcc5-4181-b1f8-8efb0eae7d14 + 2 + + + + + + 9359 + 26443 + 46 + 20 + + + 9383.5 + 26453 + + + + + + + + Preserve direction of input curves + 486ce916-8479-44a5-a0ad-2250fd954007 + true + Preserve + Preserve + false + 0 + + + + + + 9359 + 26463 + 46 + 20 + + + 9383.5 + 26473 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + de3c585c-be6c-469f-a4f3-50738ad24f54 + true + Curves + Curves + false + 0 + + + + + + 9435 + 26443 + 38 + 40 + + + 9455.5 + 26463 + + + + + + + + + + + + e87db220-a0a0-4d67-a405-f97fd14b2d7a + Linear Array + + + + + Create a linear array of geometry. + true + 82cf0086-86e1-4c25-8cff-5c29a7f3a40d + true + Linear Array + Linear Array + + + + + + 9347 + 26359 + 138 + 64 + + + 9415 + 26391 + + + + + + Base geometry + 83c5d037-8530-433b-a896-246d46866d4d + true + Geometry + Geometry + true + de3c585c-be6c-469f-a4f3-50738ad24f54 + 1 + + + + + + 9349 + 26361 + 51 + 20 + + + 9376 + 26371 + + + + + + + + Linear array direction and interval + fa00b316-4c23-4a0e-a3f7-f74891c91860 + true + Direction + Direction + false + 0 + + + + + + 9349 + 26381 + 51 + 20 + + + 9376 + 26391 + + + + + + 1 + + + + + 1 + {0} + + + + + + 2 + 0 + 0 + + + + + + + + + + + + Number of elements in array. + 602b0e39-126d-422b-9a7a-6149fb9d6ba5 + true + Count + Count + false + 0 + + + + + + 9349 + 26401 + 51 + 20 + + + 9376 + 26411 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + 1 + Arrayed geometry + 74758d7c-8ee9-4e91-9164-cadd36352223 + true + Geometry + Geometry + false + 0 + + + + + + 9430 + 26361 + 53 + 30 + + + 9458 + 26376 + + + + + + + + 1 + Transformation data + 9869dd3a-93fc-4b30-a9a3-2fe3fdf59dc7 + true + Transform + Transform + false + 0 + + + + + + 9430 + 26391 + 53 + 30 + + + 9458 + 26406 + + + + + + + + + + + + 8073a420-6bec-49e3-9b18-367f6fd76ac3 + Join Curves + + + + + Join as many curves as possible + true + ffc2651e-9382-4020-842b-5002f1e0045a + true + Join Curves + Join Curves + + + + + + 9357 + 26297 + 118 + 44 + + + 9420 + 26319 + + + + + + 1 + Curves to join + c1896f1b-da7c-4c94-8db8-ae893b2c1982 + true + Curves + Curves + false + 74758d7c-8ee9-4e91-9164-cadd36352223 + 1 + + + + + + 9359 + 26299 + 46 + 20 + + + 9383.5 + 26309 + + + + + + + + Preserve direction of input curves + e7d24873-a86e-4061-a8e4-734daaafc0c8 + true + Preserve + Preserve + false + 0 + + + + + + 9359 + 26319 + 46 + 20 + + + 9383.5 + 26329 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Joined curves and individual curves that could not be joined. + 76b2a5e6-be01-4e1b-a790-d5e42bb7344e + true + Curves + Curves + false + 0 + + + + + + 9435 + 26299 + 38 + 40 + + + 9455.5 + 26319 + + + + + + + + + + + + ccfd6ba8-ecb1-44df-a47e-08126a653c51 + Curve Domain + + + + + Measure and set the curve domain + true + 0bd835d5-26e4-428e-be22-9ef0ffc2e4ca + true + Curve Domain + Curve Domain + + + + + + 9358 + 26052 + 116 + 44 + + + 9416 + 26074 + + + + + + Curve to measure/modify + 52d7dad0-bac5-4a9d-aef0-316e1c287209 + true + Curve + Curve + false + 6909d3f9-3b76-40d3-9d12-d3bb72e99f02 + 1 + + + + + + 9360 + 26054 + 41 + 20 + + + 9382 + 26064 + + + + + + + + Optional domain, if omitted the curve will not be modified. + 320dea18-932b-493f-9fe3-7a50c967a357 + true + Domain + Domain + true + 0 + + + + + + 9360 + 26074 + 41 + 20 + + + 9382 + 26084 + + + + + + + + Curve with new domain. + 88f64854-a384-40af-b29a-4f3364f4910d + true + Curve + Curve + false + 0 + + + + + + 9431 + 26054 + 41 + 20 + + + 9453 + 26064 + + + + + + + + Domain of original curve. + 756db84f-bd10-43b7-8193-dee8cdb550de + true + Domain + Domain + false + 0 + + + + + + 9431 + 26074 + 41 + 20 + + + 9453 + 26084 + + + + + + + + + + + + 429cbba9-55ee-4e84-98ea-876c44db879a + Sub Curve + + + + + Construct a curve from the sub-domain of a base curve. + true + 1f736d75-0acd-466e-8c54-66d20f4ffd67 + true + Sub Curve + Sub Curve + + + + + + 9354 + 25866 + 124 + 44 + + + 9428 + 25888 + + + + + + Base curve + 68723e9f-bfbc-4799-8ced-a8e2a68133fd + true + Base curve + Base curve + false + 88f64854-a384-40af-b29a-4f3364f4910d + 1 + + + + + + 9356 + 25868 + 57 + 20 + + + 9386 + 25878 + + + + + + + + Sub-domain to extract + 7939a992-4cc8-4bd6-8873-b334b2fb0d8a + true + Domain + Domain + false + 908b894d-2aa3-4855-a382-c35e6fa8d476 + 1 + + + + + + 9356 + 25888 + 57 + 20 + + + 9386 + 25898 + + + + + + + + Resulting sub curve + c9c103d7-fb88-449d-93cf-d1899c09bec0 + true + Curve + Curve + false + 0 + + + + + + 9443 + 25868 + 33 + 40 + + + 9461 + 25888 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + 0dc1bfc1-94ff-4758-85c5-25571a1b551b + true + Deconstruct Domain + Deconstruct Domain + + + + + + 9364 + 25990 + 104 + 44 + + + 9422 + 26012 + + + + + + Base domain + f951cd1c-c3f0-46e8-9f98-a7c5eee1c2c2 + true + Domain + Domain + false + 756db84f-bd10-43b7-8193-dee8cdb550de + 1 + + + + + + 9366 + 25992 + 41 + 40 + + + 9388 + 26012 + + + + + + + + Start of domain + 9ce20640-5ead-4c66-93bc-555bde8f78c3 + true + Start + Start + false + 0 + + + + + + 9437 + 25992 + 29 + 20 + + + 9453 + 26002 + + + + + + + + End of domain + 09315b7b-102d-424d-8c9a-5fc7ab44daa0 + true + End + End + false + 0 + + + + + + 9437 + 26012 + 29 + 20 + + + 9453 + 26022 + + + + + + + + + + + + d1a28e95-cf96-4936-bf34-8bf142d731bf + Construct Domain + + + + + Create a numeric domain from two numeric extremes. + true + 4fae7aa9-72e4-4f8b-a302-b56a28c8b49d + true + Construct Domain + Construct Domain + + + + + + 9338 + 25928 + 156 + 44 + + + 9436 + 25950 + + + + + + Start value of numeric domain + b16a2af5-768e-47ad-bd21-7b54a2dbc500 + X/8 + true + Domain start + Domain start + false + 09315b7b-102d-424d-8c9a-5fc7ab44daa0 + 1 + + + + + + 9340 + 25930 + 81 + 20 + + + 9390 + 25940 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + End value of numeric domain + fbfc9604-7ad5-4110-af41-85a7ea9d90f4 + X*5/8 + true + Domain end + Domain end + false + 09315b7b-102d-424d-8c9a-5fc7ab44daa0 + 1 + + + + + + 9340 + 25950 + 81 + 20 + + + 9390 + 25960 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Numeric domain between {A} and {B} + 908b894d-2aa3-4855-a382-c35e6fa8d476 + true + Domain + Domain + false + 0 + + + + + + 9451 + 25930 + 41 + 40 + + + 9473 + 25950 + + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 44ef6f9a-caa0-4214-b3a9-6f37c25b0823 + true + Move + Move + + + + + + 9347 + 25804 + 138 + 44 + + + 9415 + 25826 + + + + + + Base geometry + 9b38c8ee-3d30-46b0-ac04-ac9e0c742685 + true + Geometry + Geometry + true + c9c103d7-fb88-449d-93cf-d1899c09bec0 + 1 + + + + + + 9349 + 25806 + 51 + 20 + + + 9376 + 25816 + + + + + + + + Translation vector + c5e81cc2-eea8-40db-9d4b-4da9d7797bb7 + true + Motion + Motion + false + 0 + + + + + + 9349 + 25826 + 51 + 20 + + + 9376 + 25836 + + + + + + 1 + + + + + 1 + {0} + + + + + + -0.5 + -0.5 + 0 + + + + + + + + + + + + Translated geometry + d634efec-eaa1-4552-8955-f0d045284f56 + true + Geometry + Geometry + false + 0 + + + + + + 9430 + 25806 + 53 + 20 + + + 9458 + 25816 + + + + + + + + Transformation data + 98a49866-211f-40c8-bf40-105850266ef3 + true + Transform + Transform + false + 0 + + + + + + 9430 + 25826 + 53 + 20 + + + 9458 + 25836 + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 982f2772-3928-4af2-ae57-35526ea29850 + true + Scale + Scale + + + + + + 9347 + 25722 + 138 + 64 + + + 9415 + 25754 + + + + + + Base geometry + 303c1e54-74d2-4af8-95df-a5361440bcd8 + true + Geometry + Geometry + true + d634efec-eaa1-4552-8955-f0d045284f56 + 1 + + + + + + 9349 + 25724 + 51 + 20 + + + 9376 + 25734 + + + + + + + + Center of scaling + a5bd51ed-0621-4c8d-a682-e49c19e5ccbf + true + Center + Center + false + 0 + + + + + + 9349 + 25744 + 51 + 20 + + + 9376 + 25754 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 5db464c3-f05f-4067-812f-415571d5b5ef + true + Factor + Factor + false + 0 + + + + + + 9349 + 25764 + 51 + 20 + + + 9376 + 25774 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 183bf7f6-6caa-4074-a0c1-0c307d940f3a + true + Geometry + Geometry + false + 0 + + + + + + 9430 + 25724 + 53 + 30 + + + 9458 + 25739 + + + + + + + + Transformation data + 29d0b158-ad16-44f9-8681-6c40c32a5d43 + true + Transform + Transform + false + 0 + + + + + + 9430 + 25754 + 53 + 30 + + + 9458 + 25769 + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 73634064-05a9-4fc8-ba5f-22e55d8d56d1 + true + Deconstruct + Deconstruct + + + + + + 9332 + 25558 + 168 + 64 + + + 9379 + 25590 + + + + + + Input point + 3bec8505-11f2-4a56-9e14-3c8c5d1c2bf1 + true + Point + Point + false + 5d4eaaaa-2379-427e-9e98-d2854ab8a9c3 + 1 + + + + + + 9334 + 25560 + 30 + 60 + + + 9350.5 + 25590 + + + + + + + + Point {x} component + 0427502f-e4fb-4055-b28a-7e8fe719f15f + true + 2 + X component + X component + false + true + 0 + + + + + + 9394 + 25560 + 104 + 20 + + + 9429.5 + 25570 + + + + + + + + Point {y} component + 992764c3-f6b3-45d3-9c45-26e7db379886 + true + 2 + Y component + Y component + false + true + 0 + + + + + + 9394 + 25580 + 104 + 20 + + + 9429.5 + 25590 + + + + + + + + Point {z} component + b65d734b-c031-4d11-976e-4f397b7a47db + true + Z component + Z component + false + 0 + + + + + + 9394 + 25600 + 104 + 20 + + + 9429.5 + 25610 + + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + 8d17de15-607e-4072-bd70-5cc9a8efe9b5 + true + Divide Curve + Divide Curve + + + + + + 9353 + 25640 + 125 + 64 + + + 9403 + 25672 + + + + + + Curve to divide + 2002b3d7-e1f5-4df8-88c4-81e0e4d777e7 + true + Curve + Curve + false + 183bf7f6-6caa-4074-a0c1-0c307d940f3a + 1 + + + + + + 9355 + 25642 + 33 + 20 + + + 9373 + 25652 + + + + + + + + Number of segments + 8f47a2c1-a405-40c8-a043-8a0e8d26dd59 + true + Count + Count + false + c4219dab-2b45-451a-9f35-b150c1719680 + 1 + + + + + + 9355 + 25662 + 33 + 20 + + + 9373 + 25672 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + 94411214-c6d1-4b3f-8727-a44534e50c6b + true + Kinks + Kinks + false + 0 + + + + + + 9355 + 25682 + 33 + 20 + + + 9373 + 25692 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + 5d4eaaaa-2379-427e-9e98-d2854ab8a9c3 + true + Points + Points + false + 0 + + + + + + 9418 + 25642 + 58 + 20 + + + 9448.5 + 25652 + + + + + + + + 1 + Tangent vectors at division points + b2ace906-f709-4456-9c75-f4ad21c35094 + true + Tangents + Tangents + false + 0 + + + + + + 9418 + 25662 + 58 + 20 + + + 9448.5 + 25672 + + + + + + + + 1 + Parameter values at division points + af193919-20c9-43d8-a541-1fe341359435 + true + Parameters + Parameters + false + 0 + + + + + + 9418 + 25682 + 58 + 20 + + + 9448.5 + 25692 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + c6b21630-e8a3-484d-af01-6b1a3aafce9a + true + Panel + + false + 0 + db245e23-4539-4216-8d09-ee1aab1bd46d + 1 + Double click to edit panel content… + + + + + + 9511 + 25040 + 181 + 292 + + 0 + 0 + 0 + + 9511.132 + 25040.11 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d31db527-8d05-4ca4-b457-0c32d0442454 + true + Panel + + false + 0 + 738da52b-fc5b-4876-ac30-3f6113c3fbcc + 1 + Double click to edit panel content… + + + + + + 9148 + 25040 + 181 + 292 + + 0 + 0 + 0 + + 9148.33 + 25040.11 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 2013e425-8713-42e2-a661-b57e78840337 + Concatenate + + + + + Concatenate some fragments of text + true + a6b71e17-e3eb-46c7-86d2-56cb9c1333dc + true + Concatenate + Concatenate + + + + + + 9369 + 24945 + 93 + 64 + + + 9395 + 24977 + + + + + + 3 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 1 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + + + + + First text fragment + ff2d7c96-a5a8-41f1-8f54-d1d8845114ae + true + Fragment A + + true + d31db527-8d05-4ca4-b457-0c32d0442454 + 1 + + + + + + 9371 + 24947 + 9 + 20 + + + 9377 + 24957 + + + + + + + + Second text fragment + 0a362411-1989-46a9-a3d2-4507f9986a1c + true + Fragment B + + true + ed5abe26-f015-40f1-92fd-ac2f1564cada + 1 + + + + + + 9371 + 24967 + 9 + 20 + + + 9377 + 24977 + + + + + + + + Third text fragment + 3613c947-9cf9-410f-af3b-74f7c2f6a29f + true + Fragment A + + true + c6b21630-e8a3-484d-af01-6b1a3aafce9a + 1 + + + + + + 9371 + 24987 + 9 + 20 + + + 9377 + 24997 + + + + + + + + Resulting text consisting of all the fragments + d0a7a802-a1a4-44f8-a73b-eb852d249de6 + true + 1 + Result + Result + false + 0 + + + + + + 9410 + 24947 + 50 + 60 + + + 9428.5 + 24977 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + e17c6f8e-a5ea-4bd3-aaea-da70d3cd87dd + true + Panel + + false + 0 + d0a7a802-a1a4-44f8-a73b-eb852d249de6 + 1 + Double click to edit panel content… + + + + + + 9244 + 24618 + 350 + 292 + + 0 + 0 + 0 + + 9244.32 + 24618.44 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + true + 0d4f8053-3e7b-4f88-88d6-7142b1117d85 + true + List Length + List Length + + + + + + 9369 + 25467 + 93 + 28 + + + 9408 + 25481 + + + + + + 1 + Base list + 087f872a-468e-480e-8086-eb98510478b3 + true + List + List + false + 5d4eaaaa-2379-427e-9e98-d2854ab8a9c3 + 1 + + + + + + 9371 + 25469 + 22 + 24 + + + 9383.5 + 25481 + + + + + + + + Number of items in L + 4a91602b-182e-41ea-8bff-57bf58381ba3 + true + Length + Length + false + 0 + + + + + + 9423 + 25469 + 37 + 24 + + + 9443 + 25481 + + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + c5733280-28ac-45ba-9b0b-986f2cb9d166 + true + Duplicate Data + Duplicate Data + + + + + + 9346 + 25384 + 140 + 64 + + + 9405 + 25416 + + + + + + 1 + Data to duplicate + 93bbcc9c-1452-41a2-9792-6280d50325e6 + true + Data + Data + false + 0 + + + + + + 9348 + 25386 + 42 + 20 + + + 9370.5 + 25396 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_String + false + ; + + + + + + + + + + + Number of duplicates + 22d090b6-8a92-4e42-a3a8-3352903392a9 + true + Number + Number + false + 4a91602b-182e-41ea-8bff-57bf58381ba3 + 1 + + + + + + 9348 + 25406 + 42 + 20 + + + 9370.5 + 25416 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Retain list order + f3dbe681-3a37-4539-ab8f-aa8e442721ca + true + Order + Order + false + 0 + + + + + + 9348 + 25426 + 42 + 20 + + + 9370.5 + 25436 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 540a8309-6668-4cbd-a644-b3fd3216f063 + true + 2 + Data + Data + false + true + 0 + + + + + + 9420 + 25386 + 64 + 60 + + + 9435.5 + 25416 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",X) + true + d16e27a4-b51d-40be-89ac-16f5ff38ce04 + true + Expression + Expression + + + + + + 9306 + 25513 + 219 + 28 + + + 9406 + 25527 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + e7bc85b5-c2d1-4b36-8350-bba76b9a0b51 + true + Variable X + X + true + 0427502f-e4fb-4055-b28a-7e8fe719f15f + 1 + + + + + + 9308 + 25515 + 14 + 24 + + + 9316.5 + 25527 + + + + + + + + Result of expression + 738da52b-fc5b-4876-ac30-3f6113c3fbcc + true + Result + Result + false + 0 + + + + + + 9489 + 25515 + 34 + 24 + + + 9507.5 + 25527 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",Y) + true + 4a1ec727-d361-4e33-84b4-50690e5b2491 + true + Expression + Expression + + + + + + 9307 + 25338 + 218 + 28 + + + 9406 + 25352 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 4b6ad4c2-ad41-4801-ab26-6bd8da6840dd + true + Variable Y + Y + true + 992764c3-f6b3-45d3-9c45-26e7db379886 + 1 + + + + + + 9309 + 25340 + 13 + 24 + + + 9317 + 25352 + + + + + + + + Result of expression + db245e23-4539-4216-8d09-ee1aab1bd46d + true + Result + Result + false + 0 + + + + + + 9489 + 25340 + 34 + 24 + + + 9507.5 + 25352 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ed5abe26-f015-40f1-92fd-ac2f1564cada + true + Panel + + false + 0 + 540a8309-6668-4cbd-a644-b3fd3216f063 + 1 + Double click to edit panel content… + + + + + + 9329 + 25041 + 181 + 292 + + 0 + 0 + 0 + + 9329.236 + 25041.08 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 521ed613-25c1-489c-b2c8-a04049f666a7 + 5852cf2b-5c75-4d2e-88bf-7551693f5b70 + 64c31320-fe0c-4d9d-9435-c30addf1e792 + 2615fdb0-3475-497f-baf7-10291ca370d9 + 76834849-4407-4202-8ec6-cfcf435a188d + 82cf0086-86e1-4c25-8cff-5c29a7f3a40d + ffc2651e-9382-4020-842b-5002f1e0045a + 0bd835d5-26e4-428e-be22-9ef0ffc2e4ca + 1f736d75-0acd-466e-8c54-66d20f4ffd67 + 0dc1bfc1-94ff-4758-85c5-25571a1b551b + 4fae7aa9-72e4-4f8b-a302-b56a28c8b49d + 44ef6f9a-caa0-4214-b3a9-6f37c25b0823 + 982f2772-3928-4af2-ae57-35526ea29850 + 73634064-05a9-4fc8-ba5f-22e55d8d56d1 + 8d17de15-607e-4072-bd70-5cc9a8efe9b5 + c6b21630-e8a3-484d-af01-6b1a3aafce9a + d31db527-8d05-4ca4-b457-0c32d0442454 + a6b71e17-e3eb-46c7-86d2-56cb9c1333dc + e17c6f8e-a5ea-4bd3-aaea-da70d3cd87dd + 0d4f8053-3e7b-4f88-88d6-7142b1117d85 + c5733280-28ac-45ba-9b0b-986f2cb9d166 + d16e27a4-b51d-40be-89ac-16f5ff38ce04 + 4a1ec727-d361-4e33-84b4-50690e5b2491 + ed5abe26-f015-40f1-92fd-ac2f1564cada + cab813f7-791c-4922-be06-8c67e55c94ca + 2b25da2e-7e50-4fef-8021-89e37730bacf + 0d3a8ff7-6367-4449-b2bb-7d0133a495f9 + c4219dab-2b45-451a-9f35-b150c1719680 + cf3fd21c-3ff1-405f-8188-7c3e36e89091 + f9dc0f84-f005-4def-9a32-1595c75a315b + 68fed558-dddc-4bde-84cf-30a1dc52175b + 31 + 8d787dc5-3841-4088-886c-91d86d1846ea + Group + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + e35db844-8c35-45e3-a4ba-d7a4a402c621 + true + Curve + Curve + false + e67debd2-544c-4a62-830a-f5782ec6d95b + 1 + + + + + + 8681 + 25816 + 50 + 24 + + + 8706.031 + 25828.74 + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 68563a7d-e7c8-4869-bd73-a9480e1c1d00 + true + Deconstruct + Deconstruct + + + + + + 8629 + 25640 + 148 + 64 + + + 8676 + 25672 + + + + + + Input point + 2d7a5ddf-c6d4-453e-8cb5-69af6f993b0a + true + Point + Point + false + e827364b-59cf-4b41-9df6-15a17e582142 + 1 + + + + + + 8631 + 25642 + 30 + 60 + + + 8647.5 + 25672 + + + + + + + + Point {x} component + 29a9aaab-a1e8-4621-8fa9-ab9577de3e21 + true + 2 + X component + X component + false + 0 + + + + + + 8691 + 25642 + 84 + 20 + + + 8726.5 + 25652 + + + + + + + + Point {y} component + 66983311-dc16-4275-bf06-bf946c994bad + true + 2 + Y component + Y component + false + 0 + + + + + + 8691 + 25662 + 84 + 20 + + + 8726.5 + 25672 + + + + + + + + Point {z} component + 46f78897-2d93-4004-af97-57b4f74d60aa + true + Z component + Z component + false + 0 + + + + + + 8691 + 25682 + 84 + 20 + + + 8726.5 + 25692 + + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + 6750f4a4-517f-4231-93d7-803c432fd1f5 + true + Divide Curve + Divide Curve + + + + + + 8640 + 25723 + 125 + 64 + + + 8690 + 25755 + + + + + + Curve to divide + 461ef49d-af9c-493d-96cf-0496ad7274a2 + true + Curve + Curve + false + e35db844-8c35-45e3-a4ba-d7a4a402c621 + 1 + + + + + + 8642 + 25725 + 33 + 20 + + + 8660 + 25735 + + + + + + + + Number of segments + e3f0218e-9316-4163-b9d7-6e5eafbaebd4 + true + Count + Count + false + 949b3dc2-93e7-4b6b-94f6-42008f1ca88b + 1 + + + + + + 8642 + 25745 + 33 + 20 + + + 8660 + 25755 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + 42de9b05-e61c-49e3-9388-02a0aa4d4b63 + true + Kinks + Kinks + false + 0 + + + + + + 8642 + 25765 + 33 + 20 + + + 8660 + 25775 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + e827364b-59cf-4b41-9df6-15a17e582142 + true + Points + Points + false + 0 + + + + + + 8705 + 25725 + 58 + 20 + + + 8735.5 + 25735 + + + + + + + + 1 + Tangent vectors at division points + 6ab080ba-5cb5-440f-bf02-f8d982dd5c9b + true + Tangents + Tangents + false + 0 + + + + + + 8705 + 25745 + 58 + 20 + + + 8735.5 + 25755 + + + + + + + + 1 + Parameter values at division points + 45c5e056-b796-4c62-aa6b-a64baad9575d + true + Parameters + Parameters + false + 0 + + + + + + 8705 + 25765 + 58 + 20 + + + 8735.5 + 25775 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 3d076723-8242-4d06-9c81-6683dadc72ed + true + Panel + + false + 1 + b540ade3-ed4e-42b1-8d73-2846148de82f + 1 + Double click to edit panel content… + + + + + + 8791 + 24997 + 172 + 292 + + 0 + 0 + 0 + + 8791.278 + 24997.47 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f2a19e5a-e845-4b70-95ad-388661779f63 + true + Panel + + false + 1 + 6a7bfbe9-c1aa-461f-873f-dd4d928a0d47 + 1 + Double click to edit panel content… + + + + + + 8446 + 24997 + 172 + 292 + + 0 + 0 + 0 + + 8446.79 + 24997.83 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 2013e425-8713-42e2-a661-b57e78840337 + Concatenate + + + + + Concatenate some fragments of text + true + 979aa3c1-0767-4752-981f-ebf6fa1c0d3e + true + Concatenate + Concatenate + + + + + + 8656 + 24915 + 93 + 64 + + + 8682 + 24947 + + + + + + 3 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 1 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + + + + + First text fragment + 577f08d9-3728-4a92-906a-0d5f4903f2e1 + true + Fragment A + + true + f2a19e5a-e845-4b70-95ad-388661779f63 + 1 + + + + + + 8658 + 24917 + 9 + 20 + + + 8664 + 24927 + + + + + + + + Second text fragment + ff9f3e5a-fd4a-49e2-b449-7aa9646236ca + true + Fragment B + + true + 66e7c159-71a5-4f2c-adbb-dd82d3beb2d6 + 1 + + + + + + 8658 + 24937 + 9 + 20 + + + 8664 + 24947 + + + + + + + + Third text fragment + 642eff7e-cce8-4ce2-a46c-c2c127a34d74 + true + Fragment A + + true + 3d076723-8242-4d06-9c81-6683dadc72ed + 1 + + + + + + 8658 + 24957 + 9 + 20 + + + 8664 + 24967 + + + + + + + + Resulting text consisting of all the fragments + 210a47f3-23f3-4646-81b7-00603ef6a14c + true + 1 + Result + Result + false + 0 + + + + + + 8697 + 24917 + 50 + 60 + + + 8715.5 + 24947 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6f400b56-fbec-4804-8341-38f4dc23db47 + true + Panel + + false + 0.53023098409175873 + 210a47f3-23f3-4646-81b7-00603ef6a14c + 1 + Double click to edit panel content… + + + + + + 8530 + 24607 + 350 + 292 + + 0 + 0 + 0 + + 8530.262 + 24607.64 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + true + e578b74b-6b00-4b8d-9c5f-8b7d1c941f80 + true + List Length + List Length + + + + + + 8656 + 25501 + 93 + 28 + + + 8695 + 25515 + + + + + + 1 + Base list + 2b921f88-7d49-42da-8e15-0ce85692c30d + true + List + List + false + e827364b-59cf-4b41-9df6-15a17e582142 + 1 + + + + + + 8658 + 25503 + 22 + 24 + + + 8670.5 + 25515 + + + + + + + + Number of items in L + c0870b76-eb87-437c-a261-fdb68d270d18 + true + Length + Length + false + 0 + + + + + + 8710 + 25503 + 37 + 24 + + + 8730 + 25515 + + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 7ada70a1-45d5-4461-9dce-7a9de5f1418e + true + Duplicate Data + Duplicate Data + + + + + + 8633 + 25418 + 140 + 64 + + + 8692 + 25450 + + + + + + 1 + Data to duplicate + 58ea242d-e525-4589-8038-b0db9066ad77 + true + Data + Data + false + 0 + + + + + + 8635 + 25420 + 42 + 20 + + + 8657.5 + 25430 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_String + false + , + + + + + + + + + + + Number of duplicates + a81285de-3f33-4584-a9ae-f2c2685b83be + true + Number + Number + false + c0870b76-eb87-437c-a261-fdb68d270d18 + 1 + + + + + + 8635 + 25440 + 42 + 20 + + + 8657.5 + 25450 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Retain list order + 4b9305b5-e4e6-4cdd-89a9-e5ee150152dc + true + Order + Order + false + 0 + + + + + + 8635 + 25460 + 42 + 20 + + + 8657.5 + 25470 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + e7fb7d7c-744a-4366-bb2b-53a622a4a578 + true + 2 + Data + Data + false + true + 0 + + + + + + 8707 + 25420 + 64 + 60 + + + 8722.5 + 25450 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",X) + true + 4acbad9d-cf40-4ac0-92e9-0914ed2635af + true + Expression + Expression + + + + + + 8585 + 25594 + 235 + 28 + + + 8685 + 25608 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 178950b6-0d18-4b18-a8da-3c225a385d14 + true + Variable X + X + true + 29a9aaab-a1e8-4621-8fa9-ab9577de3e21 + 1 + + + + + + 8587 + 25596 + 14 + 24 + + + 8595.5 + 25608 + + + + + + + + Result of expression + 6a7bfbe9-c1aa-461f-873f-dd4d928a0d47 + true + Result + Result + false + true + 0 + + + + + + 8768 + 25596 + 50 + 24 + + + 8786.5 + 25608 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",Y) + true + 99e82a43-4f64-4b1d-817d-e7e88986f446 + true + Expression + Expression + + + + + + 8586 + 25371 + 234 + 28 + + + 8685 + 25385 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 20c89eb5-328d-407c-acef-6c8aed5c11a3 + true + Variable Y + Y + true + 66983311-dc16-4275-bf06-bf946c994bad + 1 + + + + + + 8588 + 25373 + 13 + 24 + + + 8596 + 25385 + + + + + + + + Result of expression + b540ade3-ed4e-42b1-8d73-2846148de82f + true + Result + Result + false + true + 0 + + + + + + 8768 + 25373 + 50 + 24 + + + 8786.5 + 25385 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 66e7c159-71a5-4f2c-adbb-dd82d3beb2d6 + true + Panel + + false + 1 + e7fb7d7c-744a-4366-bb2b-53a622a4a578 + 1 + Double click to edit panel content… + + + + + + 8619 + 24997 + 172 + 292 + + 0 + 0 + 0 + + 8619.309 + 24997.62 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + e35db844-8c35-45e3-a4ba-d7a4a402c621 + d8eea3ec-5157-4ac0-92dd-492058fad237 + 59c8374e-36a2-40df-af0f-1946fb9c4c2e + 6a58cb78-3aa0-4c67-9585-8364f6f684f5 + 2aafa1cf-f50a-4433-9467-6e2ba9b0a462 + 2ac06252-6a62-48fb-9825-5298bdbe9536 + 30aa3e57-dd88-4f54-ad69-4b2473594537 + 3662d19c-7316-4361-b4a3-db2bbd218382 + b60eeacc-25e7-4f56-826d-40476555687d + 71a4b562-3bee-43d5-9fb6-1c99bc3cd4cb + ee5295ed-8446-4093-9cff-155530db048a + 10338e33-43fc-4848-9f86-5e4608e349ae + 5c73a0f5-f091-4315-897f-65bd97a0d6aa + 68563a7d-e7c8-4869-bd73-a9480e1c1d00 + 6750f4a4-517f-4231-93d7-803c432fd1f5 + 3d076723-8242-4d06-9c81-6683dadc72ed + f2a19e5a-e845-4b70-95ad-388661779f63 + 979aa3c1-0767-4752-981f-ebf6fa1c0d3e + 6f400b56-fbec-4804-8341-38f4dc23db47 + e578b74b-6b00-4b8d-9c5f-8b7d1c941f80 + 7ada70a1-45d5-4461-9dce-7a9de5f1418e + 4acbad9d-cf40-4ac0-92e9-0914ed2635af + 99e82a43-4f64-4b1d-817d-e7e88986f446 + 66e7c159-71a5-4f2c-adbb-dd82d3beb2d6 + 777f6c59-7a80-4cfa-be6f-1d8eb59552ff + 8ae4527b-5550-4a76-bb40-bf8a243cd842 + ebbd6d2f-c490-4677-b77d-c25c6942e622 + 949b3dc2-93e7-4b6b-94f6-42008f1ca88b + ec56aa9b-bf0e-43f9-a278-6ef141612b48 + 372c9713-8b48-4080-bca3-e19d37da43ba + 30 + 55ab6d29-aa48-49ef-baaf-d6e0a08ab86a + Group + + + + + + + + + + + 079bd9bd-54a0-41d4-98af-db999015f63d + VB Script + + + + + A VB.NET scriptable component + true + 777f6c59-7a80-4cfa-be6f-1d8eb59552ff + true + VB Script + TxtWriter + true + 0 + If activate Then + + Dim i As Integer + Dim aryText(4) As String + + aryText(0) = "Mary WriteLine" + aryText(1) = "Had" + aryText(2) = "Another" + aryText(3) = "Little" + aryText(4) = "One" + + ' the data is appended to the file. If file doesnt exist, a new file is created + Dim objWriter As New System.IO.StreamWriter(filePath, append) + + For i = 0 To data.Count - 1 + objWriter.WriteLine(data(i)) + Next + + objWriter.Close() + + End If + + If clearFile Then + Dim objWriter As New System.IO.StreamWriter(filePath, False) + objWriter.Close() + End If + + + + + + + 8645 + 24430 + 115 + 104 + + + 8721 + 24482 + + + + + + 5 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 2 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + true + Script Variable filePath + 660e4bc9-1658-4394-9667-13d80711e8e6 + true + filePath + filePath + true + 0 + true + 8ae4527b-5550-4a76-bb40-bf8a243cd842 + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 8647 + 24432 + 59 + 20 + + + 8686 + 24442 + + + + + + + + 1 + true + Script Variable data + 4cf1b389-ac52-4ddd-8d38-1dcd3e60fab2 + true + 1 + data + data + true + 1 + true + 6f400b56-fbec-4804-8341-38f4dc23db47 + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 8647 + 24452 + 59 + 20 + + + 8686 + 24462 + + + + + + + + true + Script Variable append + de1499dc-b59e-4511-9293-0b42f78675fe + true + append + append + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 8647 + 24472 + 59 + 20 + + + 8686 + 24482 + + + + + + + + true + Script Variable activate + 830a96d0-ff09-4403-a6ef-301e589981e9 + true + activate + activate + true + 0 + true + ebbd6d2f-c490-4677-b77d-c25c6942e622 + 1 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 8647 + 24492 + 59 + 20 + + + 8686 + 24502 + + + + + + + + true + Script Variable clearFile + 0c00b769-5f96-4ed3-a5f4-5ce8b921e823 + true + clearFile + clearFile + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 8647 + 24512 + 59 + 20 + + + 8686 + 24522 + + + + + + + + Print, Reflect and Error streams + b791209b-077d-4078-b7a9-43b252cb06f4 + true + out + out + false + 0 + + + + + + 8736 + 24432 + 22 + 50 + + + 8748.5 + 24457 + + + + + + + + Output parameter A + d0f9ad89-d013-4548-a46f-57d6b65f61fe + true + A + A + false + 0 + + + + + + 8736 + 24482 + 22 + 50 + + + 8748.5 + 24507 + + + + + + + + + + + + + + 06953bda-1d37-4d58-9b38-4b3c74e54c8f + File Path + + + + + Contains a collection of file paths + false + All files|*.* + 8ae4527b-5550-4a76-bb40-bf8a243cd842 + true + File Path + File Path + false + 0 + + + + + + 8680 + 24564 + 50 + 24 + + + 8705.723 + 24576.47 + + + + + + 1 + + + + + 1 + {0} + + + + + false + C:\VSC.O____STNEMGES_4201____HTOMS_LEVEL_3_DIOMGIS_ERUTAWRUC_RAENIL_DEPAM_SEMIT_4_NOITISNART_EGDE_LUF____O____FUL_EDGE_TRANSITION_4_TIMES_MAPED_LINEAR_CURWATURE_SIGMOID_3_LEVEL_SMOTH____1024_SEGMENTS____O.CSV + + + + + + + + + + + + + a8b97322-2d53-47cd-905e-b932c3ccd74e + Button + + + + + Button object with two values + False + True + ebbd6d2f-c490-4677-b77d-c25c6942e622 + true + Button + + false + 0 + + + + + + 8670 + 24408 + 66 + 22 + + + + + + + + + + 079bd9bd-54a0-41d4-98af-db999015f63d + VB Script + + + + + A VB.NET scriptable component + true + cab813f7-791c-4922-be06-8c67e55c94ca + true + VB Script + TxtWriter + true + 0 + If activate Then + + Dim i As Integer + Dim aryText(4) As String + + aryText(0) = "Mary WriteLine" + aryText(1) = "Had" + aryText(2) = "Another" + aryText(3) = "Little" + aryText(4) = "One" + + ' the data is appended to the file. If file doesnt exist, a new file is created + Dim objWriter As New System.IO.StreamWriter(filePath, append) + + For i = 0 To data.Count - 1 + objWriter.WriteLine(data(i)) + Next + + objWriter.Close() + + End If + + If clearFile Then + Dim objWriter As New System.IO.StreamWriter(filePath, False) + objWriter.Close() + End If + + + + + + + 9358 + 24442 + 115 + 104 + + + 9434 + 24494 + + + + + + 5 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 2 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + true + Script Variable filePath + 8743b31d-c40d-4368-bb85-e0ec58c656f4 + true + filePath + filePath + true + 0 + true + 2b25da2e-7e50-4fef-8021-89e37730bacf + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 9360 + 24444 + 59 + 20 + + + 9399 + 24454 + + + + + + + + 1 + true + Script Variable data + d630bc3c-1a92-4f1c-a88f-70c989ce4475 + true + 1 + data + data + true + 1 + true + e17c6f8e-a5ea-4bd3-aaea-da70d3cd87dd + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 9360 + 24464 + 59 + 20 + + + 9399 + 24474 + + + + + + + + true + Script Variable append + b1c93177-8b35-447e-8f30-47d58103f603 + true + append + append + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 9360 + 24484 + 59 + 20 + + + 9399 + 24494 + + + + + + + + true + Script Variable activate + 4da56cd5-bed4-40c4-840a-4d1d216ad88b + true + activate + activate + true + 0 + true + 0d3a8ff7-6367-4449-b2bb-7d0133a495f9 + 1 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 9360 + 24504 + 59 + 20 + + + 9399 + 24514 + + + + + + + + true + Script Variable clearFile + 1068cd7c-aac2-4352-a3ac-146a1de3b166 + true + clearFile + clearFile + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 9360 + 24524 + 59 + 20 + + + 9399 + 24534 + + + + + + + + Print, Reflect and Error streams + c74f25fe-befe-495f-862b-42d5739f5edc + true + out + out + false + 0 + + + + + + 9449 + 24444 + 22 + 50 + + + 9461.5 + 24469 + + + + + + + + Output parameter A + 1fd63a93-e4fb-4d8a-b24b-a0051b8402c4 + true + A + A + false + 0 + + + + + + 9449 + 24494 + 22 + 50 + + + 9461.5 + 24519 + + + + + + + + + + + + + + 06953bda-1d37-4d58-9b38-4b3c74e54c8f + File Path + + + + + Contains a collection of file paths + false + All files|*.* + 2b25da2e-7e50-4fef-8021-89e37730bacf + true + File Path + File Path + false + 0 + + + + + + 9394 + 24576 + 50 + 24 + + + 9419.906 + 24588.22 + + + + + + 1 + + + + + 1 + {0} + + + + + false + C:\VSC.O____EPAHS_LANGIS____STNEMGES_4201____HTOMS_LEVEL_3_DIOMGIS_ERUTAWRUC_RAENIL_DEPAM_SEMIT_4_NOITISNART_EGDE_LUF____O____FUL_EDGE_TRANSITION_4_TIMES_MAPED_LINEAR_CURWATURE_SIGMOID_3_LEVEL_SMOTH____1024_SEGMENTS____SIGNAL_SHAPE____O.CSV + + + + + + + + + + + + + a8b97322-2d53-47cd-905e-b932c3ccd74e + Button + + + + + Button object with two values + False + True + 0d3a8ff7-6367-4449-b2bb-7d0133a495f9 + true + Button + + false + 0 + + + + + + 9383 + 24402 + 66 + 22 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8bec9f0b-acb3-4318-b690-7f524d24faa3 + true + Panel + + false + 0 + b7826491-b185-412e-9d32-92b7cbe0cbaf + 1 + Double click to edit panel content… + + + + + + 7705 + 24573 + 194 + 292 + + 0 + 0 + 0 + + 7705.751 + 24573.27 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + f2ae82af-893f-4877-be23-51a1c9ac4592 + X*4 + true + Number + Number + false + 314ba323-fca5-451e-b5c9-1e0cee8c9c84 + 1 + + + + + + 7946 + 26537 + 53 + 24 + + + 7982.941 + 26549.61 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 949b3dc2-93e7-4b6b-94f6-42008f1ca88b + X*4 + true + Number + Number + false + 314ba323-fca5-451e-b5c9-1e0cee8c9c84 + 1 + + + + + + 8679 + 25858 + 53 + 24 + + + 8715.031 + 25870.21 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + c4219dab-2b45-451a-9f35-b150c1719680 + X*4 + true + Number + Number + false + 314ba323-fca5-451e-b5c9-1e0cee8c9c84 + 1 + + + + + + 9393 + 26752 + 53 + 24 + + + 9429.133 + 26764.93 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + c0c5cf9e-a76c-48c0-8409-578eb6c6bd0b + true + Curve + Curve + false + e67debd2-544c-4a62-830a-f5782ec6d95b + 1 + + + + + + 7948 + 26495 + 50 + 24 + + + 7973.112 + 26507.4 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 52abf5f7-6725-4187-9689-0f84a0e7c3ce + true + Expression + Expression + + + + + + 7703 + 24971 + 194 + 28 + + + 7803 + 24985 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 782220e2-f954-44c4-b826-078c251b8367 + true + Variable O + O + true + 37df28d9-8586-4c7b-a27d-45da18678ae7 + 1 + + + + + + 7705 + 24973 + 14 + 24 + + + 7713.5 + 24985 + + + + + + + + Result of expression + 72f0e32d-be37-4f0a-bbc7-be9b276d4b10 + true + Result + + false + 0 + + + + + + 7886 + 24973 + 9 + 24 + + + 7892 + 24985 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5c3f9e81-3d49-45aa-b872-ea80a910db14 + true + Expression + Expression + + + + + + 8045 + 24971 + 194 + 28 + + + 8145 + 24985 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 85ddd55b-42bb-456d-bac6-f734b7e309ad + true + Variable O + O + true + 94347c95-768a-47fd-8559-3a3d676c08c0 + 1 + + + + + + 8047 + 24973 + 14 + 24 + + + 8055.5 + 24985 + + + + + + + + Result of expression + efcca8ec-2d30-438f-91cd-ec16d996422c + true + Result + + false + 0 + + + + + + 8228 + 24973 + 9 + 24 + + + 8234 + 24985 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.0000000000}",O) + true + 173d3877-9b54-4d39-bc8a-a9d714d53b98 + true + Expression + Expression + + + + + + 7657 + 24925 + 285 + 28 + + + 7802 + 24939 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 03653019-0e81-4e2c-b044-69aec5002780 + true + Variable O + O + true + 37df28d9-8586-4c7b-a27d-45da18678ae7 + 1 + + + + + + 7659 + 24927 + 14 + 24 + + + 7667.5 + 24939 + + + + + + + + Result of expression + afcf22ba-d1d3-46ed-99ae-25ef2b8c08b2 + true + Result + + false + 0 + + + + + + 7931 + 24927 + 9 + 24 + + + 7937 + 24939 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:0.00000000000000}",O) + true + e3ad63ac-cab3-425e-bc6e-77ef52eae732 + true + Expression + Expression + + + + + + 7983 + 24925 + 318 + 28 + + + 8145 + 24939 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + fafbc7da-03fa-4b0a-be17-928136a8e8a0 + true + Variable O + O + true + 94347c95-768a-47fd-8559-3a3d676c08c0 + 1 + + + + + + 7985 + 24927 + 14 + 24 + + + 7993.5 + 24939 + + + + + + + + Result of expression + 9a626f9b-35e2-4fb5-b530-6aa0f18281b3 + true + Result + + false + 0 + + + + + + 8290 + 24927 + 9 + 24 + + + 8296 + 24939 + + + + + + + + + + + + + + 8ec86459-bf01-4409-baee-174d0d2b13d0 + Data + + + + + Contains a collection of generic data + true + c36c35db-46d3-471e-bf13-99083fb06848 + true + Data + Data + false + efcca8ec-2d30-438f-91cd-ec16d996422c + 1 + + + + + + 8119 + 24884 + 50 + 24 + + + 8144.112 + 24896.22 + + + + + + + + + + 8ec86459-bf01-4409-baee-174d0d2b13d0 + Data + + + + + Contains a collection of generic data + true + b7826491-b185-412e-9d32-92b7cbe0cbaf + true + Data + Data + false + afcf22ba-d1d3-46ed-99ae-25ef2b8c08b2 + 1 + + + + + + 7777 + 24884 + 50 + 24 + + + 7802.112 + 24896.7 + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + 9c8e42ec-afbe-4493-a857-2910b3a3d5d1 + true + Scale + Scale + + + + + + 7886 + 26058 + 154 + 64 + + + 7970 + 26090 + + + + + + Base geometry + 3847a3dc-7c92-40d1-8b7b-bb3e547e5944 + true + Geometry + Geometry + true + c0c5cf9e-a76c-48c0-8409-578eb6c6bd0b + 1 + + + + + + 7888 + 26060 + 67 + 20 + + + 7931 + 26070 + + + + + + + + Center of scaling + fcaacee8-0396-4fda-a648-d9371b71b857 + true + Center + Center + false + 0 + + + + + + 7888 + 26080 + 67 + 20 + + + 7931 + 26090 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 69f241da-74c1-4332-85a4-86fd1ff85dde + 2^X + true + Factor + Factor + false + 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b + 1 + + + + + + 7888 + 26100 + 67 + 20 + + + 7931 + 26110 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Scaled geometry + 9eb06eeb-44df-4f76-a253-e3e979a8c409 + true + Geometry + Geometry + false + 0 + + + + + + 7985 + 26060 + 53 + 30 + + + 8013 + 26075 + + + + + + + + Transformation data + 50c4c37f-0547-4e81-9732-d9fff228a884 + true + Transform + Transform + false + 0 + + + + + + 7985 + 26090 + 53 + 30 + + + 8013 + 26105 + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + dda26e08-664b-4b02-8304-34bddc8ec9d8 + true + Scale + Scale + + + + + + 7886 + 25975 + 154 + 64 + + + 7970 + 26007 + + + + + + Base geometry + 5fcbe13d-12ef-471c-9321-38c909d62e55 + true + Geometry + Geometry + true + 43239747-5011-4f84-82c8-9838b5a52246 + 1 + + + + + + 7888 + 25977 + 67 + 20 + + + 7931 + 25987 + + + + + + + + Center of scaling + a4e572d9-5a64-4914-8660-0374d389941d + true + Center + Center + false + 0 + + + + + + 7888 + 25997 + 67 + 20 + + + 7931 + 26007 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + a4edf956-f052-482c-8046-5c76b702b153 + 2^X + true + Factor + Factor + false + 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b + 1 + + + + + + 7888 + 26017 + 67 + 20 + + + 7931 + 26027 + + + + + + 1 + + + + + 1 + {0} + + + + + 1000 + + + + + + + + + + + Scaled geometry + b925096e-42ca-48e1-864c-148562f35cc8 + true + Geometry + Geometry + false + 0 + + + + + + 7985 + 25977 + 53 + 30 + + + 8013 + 25992 + + + + + + + + Transformation data + 6ef435be-c9eb-4f96-9131-2dbdb6eb27c8 + true + Transform + Transform + false + 0 + + + + + + 7985 + 26007 + 53 + 30 + + + 8013 + 26022 + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + cd4aaa78-bb6c-43bd-ae4e-037d66f67954 + true + Scale + Scale + + + + + + 7894 + 25829 + 154 + 64 + + + 7978 + 25861 + + + + + + Base geometry + 7dcc7c56-2990-4356-a903-1d9b61b4b816 + true + Geometry + Geometry + true + 4540e1d9-0aa8-45ba-b2e6-c402a16ccd98 + 1 + + + + + + 7896 + 25831 + 67 + 20 + + + 7939 + 25841 + + + + + + + + Center of scaling + 8a44dcdb-3d64-4b11-b401-0db1b5ee2dbd + true + Center + Center + false + 0 + + + + + + 7896 + 25851 + 67 + 20 + + + 7939 + 25861 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + 1d036fb0-b50c-4552-af8f-5163ae45e385 + 1/2^X + true + Factor + Factor + false + 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b + 1 + + + + + + 7896 + 25871 + 67 + 20 + + + 7939 + 25881 + + + + + + 1 + + + + + 1 + {0} + + + + + 1000 + + + + + + + + + + + Scaled geometry + decde381-1034-4ed6-b96f-3a09ec3ed8a9 + true + Geometry + Geometry + false + 0 + + + + + + 7993 + 25831 + 53 + 30 + + + 8021 + 25846 + + + + + + + + Transformation data + 04ffc2cf-8e67-45f0-b395-a675c7b0e610 + true + Transform + Transform + false + 0 + + + + + + 7993 + 25861 + 53 + 30 + + + 8021 + 25876 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6bdecbe7-bc2a-4446-a1b4-7daa96fe6b7b + true + Relay + + false + 0d5480fd-b809-4f0b-985d-ac75960fc64f + 1 + + + + + + 7951 + 26122 + 40 + 16 + + + 7971 + 26130 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 304e5ccb-5a35-4e0c-8b92-206985fc9cf3 + true + Digit Scroller + Digit Scroller + false + 0 + + + + + 12 + Digit Scroller + 11 + + 16.0 + + + + + + 7848 + 26210 + 250 + 20 + + + 7848.336 + 26210.9 + + + + + + + + + + 84627490-0fb2-4498-8138-ad134ee4cb36 + Curve | Curve + + + + + Solve intersection events for two curves. + true + 25493dac-1f0f-4b75-8b92-6eec422efc11 + true + Curve | Curve + Curve | Curve + + + + + + 7898 + 25911 + 146 + 64 + + + 7959 + 25943 + + + + + + First curve + c154949d-13a1-4de2-85ea-38b734e9424f + true + Curve A + Curve A + false + 9eb06eeb-44df-4f76-a253-e3e979a8c409 + 1 + + + + + + 7900 + 25913 + 44 + 30 + + + 7923.5 + 25928 + + + + + + + + Second curve + 039a2f18-cf5c-461b-be77-ab9798fd34f2 + true + Curve B + Curve B + false + b925096e-42ca-48e1-864c-148562f35cc8 + 1 + + + + + + 7900 + 25943 + 44 + 30 + + + 7923.5 + 25958 + + + + + + + + 1 + Intersection events + 4540e1d9-0aa8-45ba-b2e6-c402a16ccd98 + true + 1 + Points + Points + false + 0 + + + + + + 7974 + 25913 + 68 + 20 + + + 8001.5 + 25923 + + + + + + + + 1 + Parameters on first curve + a146daca-813a-45b0-a027-20dcb746cf60 + true + Params A + Params A + false + 0 + + + + + + 7974 + 25933 + 68 + 20 + + + 8001.5 + 25943 + + + + + + + + 1 + Parameters on second curve + 1fce959b-2d31-4cda-8868-0ad2b2b42d7e + true + Params B + Params B + false + 0 + + + + + + 7974 + 25953 + 68 + 20 + + + 8001.5 + 25963 + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 6dd5f4ed-a71f-43b5-9556-d3ab2e83be7a + true + Deconstruct + Deconstruct + + + + + + 7887 + 25661 + 168 + 64 + + + 7934 + 25693 + + + + + + Input point + d4306bac-3039-4cdb-98c4-e48499c1fd57 + true + Point + Point + false + decde381-1034-4ed6-b96f-3a09ec3ed8a9 + 1 + + + + + + 7889 + 25663 + 30 + 60 + + + 7905.5 + 25693 + + + + + + + + Point {x} component + 08fe9886-fede-4488-90f0-870c2ef5d207 + ABS(X) + true + 2 + X component + X component + false + 0 + + + + + + 7949 + 25663 + 104 + 20 + + + 7984.5 + 25673 + + + + + + + + Point {y} component + 662c3174-f77d-4ffa-bec9-f9cd4fd2e6c0 + ABS(X) + true + 2 + Y component + Y component + false + 0 + + + + + + 7949 + 25683 + 104 + 20 + + + 7984.5 + 25693 + + + + + + + + Point {z} component + 22ab65a9-fdf7-4462-96d1-da310167ac92 + ABS(X) + true + 2 + Z component + Z component + false + 0 + + + + + + 7949 + 25703 + 104 + 20 + + + 7984.5 + 25713 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + true + ed78892a-320b-476c-8c93-6a7fa7e08ddd + true + List Length + List Length + + + + + + 7924 + 25782 + 93 + 28 + + + 7963 + 25796 + + + + + + 1 + Base list + 61d82b8f-c27e-42c0-9bff-242aca4a8ba5 + true + List + List + false + decde381-1034-4ed6-b96f-3a09ec3ed8a9 + 1 + + + + + + 7926 + 25784 + 22 + 24 + + + 7938.5 + 25796 + + + + + + + + Number of items in L + 9f0a55bc-be29-46c8-92f5-19cf8f55bb4f + true + Length + Length + false + 0 + + + + + + 7978 + 25784 + 37 + 24 + + + 7998 + 25796 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 67028c15-5934-458f-ab2a-9f38d9cd0ed5 + true + Panel + + false + 1 + 9f0a55bc-be29-46c8-92f5-19cf8f55bb4f + 1 + Double click to edit panel content… + + + + + + 7949 + 25746 + 50 + 20 + + 0 + 0 + 0 + + 7949.137 + 25746.54 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9445ca40-cc73-4861-a455-146308676855 + Range + + + + + Create a range of numbers. + true + e6d66e97-4999-47ab-aafa-1244fd466ec2 + true + Range + Range + + + + + + 7908 + 25453 + 126 + 44 + + + 7982 + 25475 + + + + + + Domain of numeric range + 9017495a-bad7-47d0-9a30-80301583303f + true + Domain + Domain + false + f5633d88-5c8d-4738-9ca4-78f1f3b10604 + 1 + + + + + + 7910 + 25455 + 57 + 20 + + + 7948 + 25465 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Number of steps + 98ded187-e65c-4902-9208-3f83d4358b44 + X-2 + true + Steps + Steps + false + 67028c15-5934-458f-ab2a-9f38d9cd0ed5 + 1 + + + + + + 7910 + 25475 + 57 + 20 + + + 7948 + 25485 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Range of numbers + 47f14d51-300b-482b-8dce-d227d4d36a41 + true + Range + Range + false + 0 + + + + + + 7997 + 25455 + 35 + 40 + + + 8016 + 25475 + + + + + + + + + + + + d1a28e95-cf96-4936-bf34-8bf142d731bf + Construct Domain + + + + + Create a numeric domain from two numeric extremes. + true + 9ac4b811-e818-4cae-b5a8-1125c38df8ce + true + Construct Domain + Construct Domain + + + + + + 7893 + 25515 + 156 + 44 + + + 7991 + 25537 + + + + + + Start value of numeric domain + 5de9b5e3-05b5-4d96-a127-d797480cf6e4 + true + Domain start + Domain start + false + 0 + + + + + + 7895 + 25517 + 81 + 20 + + + 7945 + 25527 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + End value of numeric domain + cd414644-3cdd-49c2-a949-93d34363cefc + X-2 + true + Domain end + Domain end + false + 67028c15-5934-458f-ab2a-9f38d9cd0ed5 + 1 + + + + + + 7895 + 25537 + 81 + 20 + + + 7945 + 25547 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Numeric domain between {A} and {B} + f5633d88-5c8d-4738-9ca4-78f1f3b10604 + true + Domain + Domain + false + 0 + + + + + + 8006 + 25517 + 41 + 40 + + + 8028 + 25537 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + true + 26626c04-163a-4a20-980f-a24b2f442126 + true + List Item + List Item + + + + + + 7918 + 25369 + 106 + 64 + + + 7982 + 25401 + + + + + + 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 + f6f764a0-a6d4-4a7b-b3db-bf3cc6ffe82a + true + 1 + List + List + false + 834ee95c-4eac-4530-8a3c-29c57058ad84 + 1 + + + + + + 7920 + 25371 + 47 + 20 + + + 7953 + 25381 + + + + + + + + Item index + e9ce2f59-3303-4a53-ba0d-15261a26e9ff + true + Index + Index + false + 47f14d51-300b-482b-8dce-d227d4d36a41 + 1 + + + + + + 7920 + 25391 + 47 + 20 + + + 7953 + 25401 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 478b03d0-58e3-42d1-a713-e7fca9401b60 + true + Wrap + Wrap + false + 0 + + + + + + 7920 + 25411 + 47 + 20 + + + 7953 + 25421 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 8518e1e8-f491-41ba-8c28-753b8dee029c + true + 1 + false + Item + i + false + 0 + + + + + + 7997 + 25371 + 25 + 60 + + + 8003 + 25401 + + + + + + + + + + + + + + 3581f42a-9592-4549-bd6b-1c0fc39d067b + Construct Point + + + + + Construct a point from {xyz} coordinates. + true + e7098bff-3c56-4289-ab1d-5e2df2dc2cfb + true + Construct Point + Construct Point + + + + + + 7898 + 25286 + 145 + 64 + + + 7980 + 25318 + + + + + + {x} coordinate + a56a7dcb-f55d-49c6-9d98-72ac0015e769 + true + X coordinate + X coordinate + false + 0 + + + + + + 7900 + 25288 + 65 + 20 + + + 7934 + 25298 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + {y} coordinate + 90bab88d-fe52-467e-8783-893ea04b7c4b + true + Y coordinate + Y coordinate + false + 0 + + + + + + 7900 + 25308 + 65 + 20 + + + 7934 + 25318 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + {z} coordinate + cc7e0a61-59ef-46a6-9518-54fffcbceb17 + true + Z coordinate + Z coordinate + false + 0 + + + + + + 7900 + 25328 + 65 + 20 + + + 7934 + 25338 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Point coordinate + ccfc0a63-d660-4276-b4c9-ac309204b3cd + true + 1 + Point + Point + false + 0 + + + + + + 7995 + 25288 + 46 + 60 + + + 8011.5 + 25318 + + + + + + + + + + + + b7798b74-037e-4f0c-8ac7-dc1043d093e0 + Rotate + + + + + Rotate an object in a plane. + true + 8429a1af-d262-4516-8ba6-4819d9bce080 + true + Rotate + Rotate + + + + + + 7884 + 25203 + 174 + 64 + + + 7952 + 25235 + + + + + + Base geometry + 2354448f-84ae-4964-ae1e-4c8be9e4cc1d + true + Geometry + Geometry + true + 8518e1e8-f491-41ba-8c28-753b8dee029c + 1 + + + + + + 7886 + 25205 + 51 + 20 + + + 7913 + 25215 + + + + + + + + Rotation angle in radians + fb8b0864-fea6-4081-b308-2eb08c6eca8d + true + Angle + Angle + false + 0 + false + + + + + + 7886 + 25225 + 51 + 20 + + + 7913 + 25235 + + + + + + 1 + + + + + 1 + {0} + + + + + 3.1415926535897931 + + + + + + + + + + + Rotation plane + 22341cb1-b6d4-4f32-a6b9-aa0a2002592a + true + Plane + Plane + false + ccfc0a63-d660-4276-b4c9-ac309204b3cd + 1 + + + + + + 7886 + 25245 + 51 + 20 + + + 7913 + 25255 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Rotated geometry + 418b0f69-82c4-44ab-9c99-33ec6ccaf813 + true + 1 + Geometry + Geometry + false + true + 0 + + + + + + 7967 + 25205 + 89 + 30 + + + 7995 + 25220 + + + + + + + + Transformation data + f1e959a8-313a-4c1d-967f-a14d1ad0a983 + true + Transform + Transform + false + 0 + + + + + + 7967 + 25235 + 89 + 30 + + + 7995 + 25250 + + + + + + + + + + + + 3581f42a-9592-4549-bd6b-1c0fc39d067b + Construct Point + + + + + Construct a point from {xyz} coordinates. + true + 23015bee-c083-4af1-a5dc-e173dadaafa5 + true + Construct Point + Construct Point + + + + + + 7906 + 25579 + 129 + 64 + + + 7988 + 25611 + + + + + + {x} coordinate + 0214d13f-f5e0-4573-b5ff-7754e7ab348d + true + X coordinate + X coordinate + false + 08fe9886-fede-4488-90f0-870c2ef5d207 + 1 + + + + + + 7908 + 25581 + 65 + 20 + + + 7942 + 25591 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + {y} coordinate + 0b90d6cf-3608-4931-a60e-11be5a299728 + true + Y coordinate + Y coordinate + false + 662c3174-f77d-4ffa-bec9-f9cd4fd2e6c0 + 1 + + + + + + 7908 + 25601 + 65 + 20 + + + 7942 + 25611 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + {z} coordinate + 39310936-b23e-42ac-bd00-360d4ededdfe + true + Z coordinate + Z coordinate + false + 22ab65a9-fdf7-4462-96d1-da310167ac92 + 1 + + + + + + 7908 + 25621 + 65 + 20 + + + 7942 + 25631 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Point coordinate + 834ee95c-4eac-4530-8a3c-29c57058ad84 + true + Point + Point + false + 0 + + + + + + 8003 + 25581 + 30 + 60 + + + 8019.5 + 25611 + + + + + + + + + + + + 3cadddef-1e2b-4c09-9390-0e8f78f7609f + Merge + + + + + Merge a bunch of data streams + true + 1107e188-eef7-4c19-ae98-e31de26131c5 + true + Merge + Merge + + + + + + 7927 + 25100 + 87 + 84 + + + 7963 + 25142 + + + + + + 4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 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 + c83d69f4-9208-4076-96bf-b57d34d098a1 + true + false + Data 1 + D1 + true + 8518e1e8-f491-41ba-8c28-753b8dee029c + 1 + + + + + + 7929 + 25102 + 19 + 20 + + + 7940 + 25112 + + + + + + + + 2 + Data stream 2 + f9ab74c4-5174-4db4-8d00-6d5d809f3da7 + true + false + Data 2 + D2 + true + ccfc0a63-d660-4276-b4c9-ac309204b3cd + 1 + + + + + + 7929 + 25122 + 19 + 20 + + + 7940 + 25132 + + + + + + + + 2 + Data stream 3 + 0aae4231-b0eb-4301-9c22-cb3314c1e15e + true + false + Data 3 + D3 + true + 418b0f69-82c4-44ab-9c99-33ec6ccaf813 + 1 + + + + + + 7929 + 25142 + 19 + 20 + + + 7940 + 25152 + + + + + + + + 2 + Data stream 4 + bb807ba9-d448-44dd-85ab-b311f681290e + true + false + Data 4 + D4 + true + 0 + + + + + + 7929 + 25162 + 19 + 20 + + + 7940 + 25172 + + + + + + + + 2 + Result of merge + b54f308e-40d5-49cf-9603-04608ca6bb66 + true + Result + Result + false + 0 + + + + + + 7978 + 25102 + 34 + 80 + + + 7996.5 + 25142 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 0d5480fd-b809-4f0b-985d-ac75960fc64f + true + Number + Number + false + 304e5ccb-5a35-4e0c-8b92-206985fc9cf3 + 1 + + + + + + 7948 + 26167 + 50 + 24 + + + 7973.441 + 26179.03 + + + + + + 1 + + + + + 1 + {0} + + + + + 65536 + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 23015bee-c083-4af1-a5dc-e173dadaafa5 + 1 + 85d75ab8-1a3b-48c1-a00b-452e5ebf23fb + Group + Construct Point + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e67debd2-544c-4a62-830a-f5782ec6d95b + true + Relay + + false + 145da25a-2a67-48d1-8b10-c024ec21e886 + 1 + + + + + + 8783 + 27339 + 40 + 16 + + + 8803 + 27347 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",ROUND(X, 15)) + true + ec56aa9b-bf0e-43f9-a278-6ef141612b48 + true + Expression + Expression + + + + + + 8540 + 25547 + 326 + 28 + + + 8685 + 25561 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + a9b4973d-6e2e-4c25-90a7-e65f57c6ce56 + true + Variable X + X + true + 29a9aaab-a1e8-4621-8fa9-ab9577de3e21 + 1 + + + + + + 8542 + 25549 + 14 + 24 + + + 8550.5 + 25561 + + + + + + + + Result of expression + d2ecb03c-5a84-47f8-afac-17ae45bc6a9a + true + Result + Result + false + true + 0 + + + + + + 8814 + 25549 + 50 + 24 + + + 8832.5 + 25561 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",ROUND(Y, 15)) + true + 372c9713-8b48-4080-bca3-e19d37da43ba + true + Expression + Expression + + + + + + 8532 + 25319 + 325 + 28 + + + 8676 + 25333 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + d9894b40-483e-47a3-beb8-5c0e8978e30d + true + Variable Y + Y + true + 66983311-dc16-4275-bf06-bf946c994bad + 1 + + + + + + 8534 + 25321 + 13 + 24 + + + 8542 + 25333 + + + + + + + + Result of expression + ad59754d-108e-4cfa-9319-1b92867cb4a7 + true + Result + Result + false + true + 0 + + + + + + 8805 + 25321 + 50 + 24 + + + 8823.5 + 25333 + + + + + + + + + + + + + + 22990b1f-9be6-477c-ad89-f775cd347105 + Flip Curve + + + + + Flip a curve using an optional guide curve. + true + cf3fd21c-3ff1-405f-8188-7c3e36e89091 + true + Flip Curve + Flip Curve + + + + + + 9366 + 26234 + 100 + 44 + + + 9416 + 26256 + + + + + + Curve to flip + b593cb0c-3850-43cb-ab64-fb084a2ca7e3 + true + Curve + Curve + false + 76b2a5e6-be01-4e1b-a790-d5e42bb7344e + 1 + + + + + + 9368 + 26236 + 33 + 20 + + + 9386 + 26246 + + + + + + + + Optional guide curve + a253bdd5-f900-4077-99d2-697a4d89362c + true + Guide + Guide + true + 0 + + + + + + 9368 + 26256 + 33 + 20 + + + 9386 + 26266 + + + + + + + + Flipped curve + e8f53765-0f87-4d4c-8084-d0da5bf9ce22 + true + Curve + Curve + false + 0 + + + + + + 9431 + 26236 + 33 + 20 + + + 9449 + 26246 + + + + + + + + Flip action + c43c0669-746a-411a-938a-c9ae8295f8b2 + true + Flag + Flag + false + 0 + + + + + + 9431 + 26256 + 33 + 20 + + + 9449 + 26266 + + + + + + + + + + + + eeafc956-268e-461d-8e73-ee05c6f72c01 + Stream Filter + + + + + Filters a collection of input streams + true + f9dc0f84-f005-4def-9a32-1595c75a315b + true + Stream Filter + Stream Filter + + + + + + 9382 + 26114 + 89 + 64 + + + 9427 + 26146 + + + + + + 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 + 882b4266-a91e-46f7-86d2-b4f193520620 + true + Gate + Gate + false + 68fed558-dddc-4bde-84cf-30a1dc52175b + 1 + + + + + + 9384 + 26116 + 28 + 20 + + + 9399.5 + 26126 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + 2 + Input stream at index 0 + b6e0d67c-e5f8-423f-a932-7b958de629c9 + true + false + Stream 0 + 0 + true + 76b2a5e6-be01-4e1b-a790-d5e42bb7344e + 1 + + + + + + 9384 + 26136 + 28 + 20 + + + 9399.5 + 26146 + + + + + + + + 2 + Input stream at index 1 + 85e8f5a0-9c99-4451-a993-addcc86813fb + true + false + Stream 1 + 1 + true + e8f53765-0f87-4d4c-8084-d0da5bf9ce22 + 1 + + + + + + 9384 + 26156 + 28 + 20 + + + 9399.5 + 26166 + + + + + + + + 2 + Filtered stream + 6909d3f9-3b76-40d3-9d12-d3bb72e99f02 + true + false + Stream + S(0) + false + 0 + + + + + + 9442 + 26116 + 27 + 60 + + + 9457 + 26146 + + + + + + + + + + + + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 68fed558-dddc-4bde-84cf-30a1dc52175b + true + Number Slider + + false + 0 + + + + + + 9349 + 26209 + 150 + 20 + + + 9349.287 + 26209.1 + + + + + + 0 + 1 + 0 + 1 + 0 + 0 + 0 + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 9f05096a-c595-4115-8939-54713cb925f1 + Panel + + false + 0 + 0 + 128 0.00549350440 +256 0.001373312102167 + + + + + + 11424 + 24178 + 174 + 33 + + 0 + 0 + 0 + + 11424.97 + 24178.9 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 6c2d9e2d-29b0-4b0d-8c17-8fe4bfcaa494 + Panel + + false + 0 + 0 + 0.001373312102167*4 + + + + + + 11427 + 24133 + 168 + 20 + + 0 + 0 + 0 + + 11427.7 + 24133.24 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 442e6075-dae1-49d8-bd6c-8df4b2e5e279 + true + Curve + Curve + false + adf83129-215a-4938-be3d-47d1a82da650 + 1 + + + + + + 8859 + 17795 + 50 + 24 + + + 8884.311 + 17807.66 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 314ba323-fca5-451e-b5c9-1e0cee8c9c84 + true + Number + Number + false + fce57c1e-7c8c-442e-8c34-f03322b193c3 + 1 + + + + + + 8689 + 27122 + 50 + 24 + + + 8714.371 + 27134.94 + + + + + + + + + + 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 + 8dcb8ac5-af0b-497e-9f9f-5a59c21d7739 + true + Evaluate Length + Evaluate Length + + + + + + 4675 + 518 + 144 + 64 + + + 4749 + 550 + + + + + + Curve to evaluate + 860d2d67-c77d-41f0-b314-755a6c77da1f + true + Curve + Curve + false + bce9593a-6c88-44fe-866b-f0d44901cbff + 1 + + + + + + 4677 + 520 + 57 + 20 + + + 4707 + 530 + + + + + + + + Length factor for curve evaluation + c6ae725e-4c9d-4aac-b254-3740de47ffb9 + true + Length + Length + false + 0 + + + + + + 4677 + 540 + 57 + 20 + + + 4707 + 550 + + + + + + 1 + + + + + 8 + {0} + + + + + 0.0625 + + + + + 0.1875 + + + + + 0.3125 + + + + + 0.4375 + + + + + 0.5625 + + + + + 0.6875 + + + + + 0.8125 + + + + + 0.9375 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 47a809dc-657a-4cba-a5fd-7f8ace0ab7a3 + true + Normalized + Normalized + false + 0 + + + + + + 4677 + 560 + 57 + 20 + + + 4707 + 570 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + e0c83f5e-8e11-4367-8a1c-374721201adf + true + Point + Point + false + 0 + + + + + + 4764 + 520 + 53 + 20 + + + 4792 + 530 + + + + + + + + Tangent vector at the specified length + 3d4b1ebe-c143-4653-92e5-c0752a0ab481 + true + Tangent + Tangent + false + 0 + + + + + + 4764 + 540 + 53 + 20 + + + 4792 + 550 + + + + + + + + Curve parameter at the specified length + 090c1148-8402-4d9b-90cb-d43e3d382ea6 + true + Parameter + Parameter + false + 0 + + + + + + 4764 + 560 + 53 + 20 + + + 4792 + 570 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 7e4a3e15-e107-44d4-949a-9c8b693467de + true + Curve + Curve + false + 2f741b85-28a7-40bc-a56a-d8c6b82e5b30 + 1 + + + + + + 4723 + 480 + 50 + 24 + + + 4748.504 + 492.4573 + + + + + + + + + + 50b204ef-d3de-41bb-a006-02fba2d3f709 + Circle TanTan + + + + + Create a circle tangent to two curves. + true + 3db8404e-2571-4eff-9bdf-8e6e83dd76c6 + true + Circle TanTan + Circle TanTan + + + + + + 4692 + 389 + 110 + 64 + + + 4753 + 421 + + + + + + First curve for tangency constraint + f18dc38d-eb33-49b6-b9a4-37e4953b3a73 + true + Curve A + Curve A + false + bce9593a-6c88-44fe-866b-f0d44901cbff + 1 + + + + + + 4694 + 391 + 44 + 20 + + + 4717.5 + 401 + + + + + + + + Second curve for tangency constraint + e3e79cc0-4f7f-40e8-a81c-9aa9fd6bb224 + true + Curve B + Curve B + false + 7e4a3e15-e107-44d4-949a-9c8b693467de + 1 + + + + + + 4694 + 411 + 44 + 20 + + + 4717.5 + 421 + + + + + + + + Circle center point guide + d2756187-a685-4afc-946d-2850c8a167d4 + true + Point + Point + false + e0c83f5e-8e11-4367-8a1c-374721201adf + 1 + + + + + + 4694 + 431 + 44 + 20 + + + 4717.5 + 441 + + + + + + + + Resulting circle + 4fef126c-5d5b-41b7-bbef-ae38bb6da4ff + true + Circle + Circle + false + 0 + + + + + + 4768 + 391 + 32 + 60 + + + 4785.5 + 421 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + bce9593a-6c88-44fe-866b-f0d44901cbff + true + Curve + Curve + false + 4846b0cb-e124-42d2-aeb5-eea1f2b86f7c + 1 + + + + + + 4723 + 612 + 50 + 24 + + + 4748.736 + 624.7593 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8dcb8ac5-af0b-497e-9f9f-5a59c21d7739 + 7e4a3e15-e107-44d4-949a-9c8b693467de + 3db8404e-2571-4eff-9bdf-8e6e83dd76c6 + bce9593a-6c88-44fe-866b-f0d44901cbff + 4 + 67e87bed-97bd-4fe6-a495-b4bf8cba66a7 + Group + + + + + + + + + + + 6f93d366-919f-4dda-a35e-ba03dd62799b + Sort List + + + + + Sort a list of numeric keys. + true + 10a885e1-c62c-4884-aac2-5a603349ad8c + true + Sort List + Sort List + + + + + + 4714 + 5107 + 166 + 44 + + + 4779 + 5129 + + + + + + 2 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 2 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 1 + List of sortable keys + c5e45e48-13ff-409f-b940-20d2c289996b + true + Keys + Keys + false + 97db0094-b0e0-490b-aee3-b5ad1a35b7ce + 1 + + + + + + 4716 + 5109 + 48 + 20 + + + 4741.5 + 5119 + + + + + + + + 1 + Optional list of values to sort synchronously + d25ba8d2-c317-4ee0-9a38-3456853c33e3 + true + Values Values A + Values A + true + 0e94c4e7-ee71-4c40-aa99-84d17a235c6f + 1 + + + + + + 4716 + 5129 + 48 + 20 + + + 4741.5 + 5139 + + + + + + + + 1 + Sorted keys + 991955a3-8008-4e57-8dbb-7ba03cd9f567 + true + 1 + Keys + Keys + false + true + 0 + + + + + + 4794 + 5109 + 84 + 20 + + + 4819.5 + 5119 + + + + + + + + 1 + Synchronous values in Values A + 069a4f8e-92dd-4b26-85d9-3bf73f839545 + true + 1 + Values Values A + Values A + false + true + 0 + + + + + + 4794 + 5129 + 84 + 20 + + + 4819.5 + 5139 + + + + + + + + + + + + + + c75b62fa-0a33-4da7-a5bd-03fd0068fd93 + Length + + + + + Measure the length of a curve. + true + 5d5e6fe9-12d4-4847-aedd-a0138f3348ac + true + Length + Length + + + + + + 4745 + 5169 + 104 + 28 + + + 4795 + 5183 + + + + + + Curve to measure + a9b71273-d374-4bb6-9799-ec2437c44412 + true + Curve + Curve + false + 0e94c4e7-ee71-4c40-aa99-84d17a235c6f + 1 + + + + + + 4747 + 5171 + 33 + 24 + + + 4765 + 5183 + + + + + + + + Curve length + 97db0094-b0e0-490b-aee3-b5ad1a35b7ce + true + Length + Length + false + 0 + + + + + + 4810 + 5171 + 37 + 24 + + + 4830 + 5183 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 1a9fea67-24bb-4a73-b097-d1198a77d87c + true + Panel + + false + 0 + 291db62f-2a0f-4e4f-95e0-a6e5c4e4b7b5 + 1 + Double click to edit panel content… + + + + + + 4736 + 4985 + 124 + 20 + + 0 + 0 + 0 + + 4736.67 + 4985.061 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + true + 336373ee-9098-4a65-a9fc-245b1728e183 + true + List Item + List Item + + + + + + 4751 + 5024 + 74 + 64 + + + 4799 + 5056 + + + + + + 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 + ace7a9cf-0d93-4dd2-92e7-78d2e22247b1 + true + List + List + false + 991955a3-8008-4e57-8dbb-7ba03cd9f567 + 1 + + + + + + 4753 + 5026 + 31 + 20 + + + 4770 + 5036 + + + + + + + + Item index + 1600e066-8870-495b-97d9-3c995d4970a7 + true + Index + Index + false + 0 + + + + + + 4753 + 5046 + 31 + 20 + + + 4770 + 5056 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 62143c9f-d88e-4125-b9a3-15097957e834 + true + Wrap + Wrap + false + 0 + + + + + + 4753 + 5066 + 31 + 20 + + + 4770 + 5076 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 291db62f-2a0f-4e4f-95e0-a6e5c4e4b7b5 + true + false + Item + i + false + 0 + + + + + + 4814 + 5026 + 9 + 60 + + + 4820 + 5056 + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 10a885e1-c62c-4884-aac2-5a603349ad8c + 5d5e6fe9-12d4-4847-aedd-a0138f3348ac + 1a9fea67-24bb-4a73-b097-d1198a77d87c + 336373ee-9098-4a65-a9fc-245b1728e183 + 0e94c4e7-ee71-4c40-aa99-84d17a235c6f + 5 + d471759a-2aac-4cde-99fb-c4eeef356581 + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0e94c4e7-ee71-4c40-aa99-84d17a235c6f + true + Relay + + false + 76eb6709-1b5d-4393-a09b-053dd6f6870c + 1 + + + + + + 4775 + 5215 + 40 + 16 + + + 4795 + 5223 + + + + + + + + + + 6f93d366-919f-4dda-a35e-ba03dd62799b + Sort List + + + + + Sort a list of numeric keys. + true + 68082c19-68a1-4f98-8cf1-6a223a630ca2 + true + Sort List + Sort List + + + + + + 4690 + 1047 + 166 + 44 + + + 4755 + 1069 + + + + + + 2 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 2 + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + 1 + List of sortable keys + 77df0001-99a0-4e30-b846-5ad09fec4152 + true + Keys + Keys + false + e17faae2-0363-4357-93c9-bd2d227f6f95 + 1 + + + + + + 4692 + 1049 + 48 + 20 + + + 4717.5 + 1059 + + + + + + + + 1 + Optional list of values to sort synchronously + 77b4169b-7957-4219-a516-fd1c01fc17a8 + true + Values Values A + Values A + true + fa57ee60-3e1a-493e-b919-cde396c0d34e + 1 + + + + + + 4692 + 1069 + 48 + 20 + + + 4717.5 + 1079 + + + + + + + + 1 + Sorted keys + 141ac252-7681-4aae-ad37-2fdcb02e31d6 + true + 1 + Keys + Keys + false + true + 0 + + + + + + 4770 + 1049 + 84 + 20 + + + 4795.5 + 1059 + + + + + + + + 1 + Synchronous values in Values A + 95f460fb-fea2-4898-9b96-c6614fd6a480 + true + 1 + Values Values A + Values A + false + true + 0 + + + + + + 4770 + 1069 + 84 + 20 + + + 4795.5 + 1079 + + + + + + + + + + + + + + c75b62fa-0a33-4da7-a5bd-03fd0068fd93 + Length + + + + + Measure the length of a curve. + true + 586b67fb-8013-4a19-afbe-58c6fb976d98 + true + Length + Length + + + + + + 4721 + 1109 + 104 + 28 + + + 4771 + 1123 + + + + + + Curve to measure + 221f67e4-8fca-45c2-a2a5-6ea91c10ab7e + true + Curve + Curve + false + fa57ee60-3e1a-493e-b919-cde396c0d34e + 1 + + + + + + 4723 + 1111 + 33 + 24 + + + 4741 + 1123 + + + + + + + + Curve length + e17faae2-0363-4357-93c9-bd2d227f6f95 + true + Length + Length + false + 0 + + + + + + 4786 + 1111 + 37 + 24 + + + 4806 + 1123 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 4cdc7d62-de0e-4133-8e9f-dcf36557e740 + true + Panel + + false + 0 + 2deb309b-4bbf-42a4-b1f0-3c49cf248f07 + 1 + Double click to edit panel content… + + + + + + 4714 + 886 + 124 + 20 + + 0 + 0 + 0 + + 4714.143 + 886.7187 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + true + 2dae60c8-92c8-445a-8e3a-e4e4ecca8654 + true + List Item + List Item + + + + + + 4736 + 964 + 74 + 64 + + + 4784 + 996 + + + + + + 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 + 304addc7-7081-4df9-9b59-ec9e5daf6fb1 + true + List + List + false + 141ac252-7681-4aae-ad37-2fdcb02e31d6 + 1 + + + + + + 4738 + 966 + 31 + 20 + + + 4755 + 976 + + + + + + + + Item index + 026c004f-2d7f-41db-9d3b-f75ede8f2ecb + true + Index + Index + false + 0 + + + + + + 4738 + 986 + 31 + 20 + + + 4755 + 996 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 33de4a30-e606-4c37-baab-a5e45944b6bd + true + Wrap + Wrap + false + 0 + + + + + + 4738 + 1006 + 31 + 20 + + + 4755 + 1016 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 2deb309b-4bbf-42a4-b1f0-3c49cf248f07 + true + false + Item + i + false + 0 + + + + + + 4799 + 966 + 9 + 60 + + + 4805 + 996 + + + + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 68082c19-68a1-4f98-8cf1-6a223a630ca2 + 586b67fb-8013-4a19-afbe-58c6fb976d98 + 4cdc7d62-de0e-4133-8e9f-dcf36557e740 + 2dae60c8-92c8-445a-8e3a-e4e4ecca8654 + fa57ee60-3e1a-493e-b919-cde396c0d34e + 93132e8b-ab93-41d0-b5e4-ef3b610ae451 + 70967217-7c70-4101-a43c-def289a8f2ba + d18c37a3-8870-4d84-837d-a09e2feff9b4 + a7a02c85-5134-4dc0-892c-7aca3ec86465 + 9 + 7d18f7f1-21bd-43ec-9f05-0ac476eaa41b + Group + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fa57ee60-3e1a-493e-b919-cde396c0d34e + true + Relay + + false + c6a38d5c-cd10-4ce8-b30c-aadaf81095a0 + 1 + + + + + + 4753 + 1155 + 40 + 16 + + + 4773 + 1163 + + + + + + + + + + 9c85271f-89fa-4e9f-9f4a-d75802120ccc + Division + + + + + Mathematical division + true + 93132e8b-ab93-41d0-b5e4-ef3b610ae451 + true + Division + Division + + + + + + 4732 + 811 + 82 + 44 + + + 4763 + 833 + + + + + + Item to divide (dividend) + a1b9f6dc-a89a-4131-b7cd-1eb7dea7c26a + true + A + A + false + 70967217-7c70-4101-a43c-def289a8f2ba + 1 + + + + + + 4734 + 813 + 14 + 20 + + + 4742.5 + 823 + + + + + + + + Item to divide with (divisor) + 95dcf4c4-435e-4079-b9c9-002dc7e6b904 + true + B + B + false + 2deb309b-4bbf-42a4-b1f0-3c49cf248f07 + 1 + + + + + + 4734 + 833 + 14 + 20 + + + 4742.5 + 843 + + + + + + + + The result of the Division + 8e2db5fd-f520-4350-b05e-147b54bdc6e1 + true + Result + Result + false + 0 + + + + + + 4778 + 813 + 34 + 40 + + + 4796.5 + 833 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 70967217-7c70-4101-a43c-def289a8f2ba + true + Relay + + false + 291db62f-2a0f-4e4f-95e0-a6e5c4e4b7b5 + 1 + + + + + + 4753 + 927 + 40 + 16 + + + 4773 + 935 + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + d18c37a3-8870-4d84-837d-a09e2feff9b4 + true + Panel + + false + 0 + 0f7b6154-1db3-4b52-938e-66ae1f49d020 + 1 + Double click to edit panel content… + + + + + + 4707 + 720 + 138 + 20 + + 0 + 0 + 0 + + 4707.199 + 720.1113 + + + + + + + 255;255;255;255 + + false + false + true + false + false + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",X) + true + a7a02c85-5134-4dc0-892c-7aca3ec86465 + true + Expression + Expression + + + + + + 4656 + 757 + 235 + 28 + + + 4756 + 771 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 692bab05-e1ee-4fd8-a3e1-268c6f6e54c5 + true + Variable X + X + true + 8e2db5fd-f520-4350-b05e-147b54bdc6e1 + 1 + + + + + + 4658 + 759 + 14 + 24 + + + 4666.5 + 771 + + + + + + + + Result of expression + 0f7b6154-1db3-4b52-938e-66ae1f49d020 + true + Result + Result + false + true + 0 + + + + + + 4839 + 759 + 50 + 24 + + + 4857.5 + 771 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + d8c67dd0-43fb-43d1-9d5a-230f2f0d1341 + true + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.03125000000 + + + + + + 4185 + 5295 + 250 + 20 + + + 4185.428 + 5295.365 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6b23f605-1533-4de6-9a99-7e5d71630123 + Relay + + false + 442e6075-dae1-49d8-bd6c-8df4b2e5e279 + 1 + + + + + + 8193 + 27355 + 40 + 16 + + + 8213 + 27363 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 9d0d1d25-33a3-42a0-a9f9-e43449abed81 + true + Curve + Curve + false + 6b23f605-1533-4de6-9a99-7e5d71630123 + 1 + + + + + + 8472 + 27896 + 50 + 24 + + + 8497.052 + 27908.87 + + + + + + + + + + ccfd6ba8-ecb1-44df-a47e-08126a653c51 + Curve Domain + + + + + Measure and set the curve domain + true + 27269ca2-746d-493e-bd7f-1659cea6783b + true + Curve Domain + Curve Domain + + + + + + 8438 + 27834 + 116 + 44 + + + 8496 + 27856 + + + + + + Curve to measure/modify + c14647d7-1e8a-44b0-9699-0889411af5aa + true + Curve + Curve + false + 9d0d1d25-33a3-42a0-a9f9-e43449abed81 + 1 + + + + + + 8440 + 27836 + 41 + 20 + + + 8462 + 27846 + + + + + + + + Optional domain, if omitted the curve will not be modified. + ecea4d9b-9629-44bd-adc3-eb6ca5e8c856 + true + Domain + Domain + true + 0 + + + + + + 8440 + 27856 + 41 + 20 + + + 8462 + 27866 + + + + + + + + Curve with new domain. + cbbcf946-4aec-4d46-b72b-a606f7a104bf + true + Curve + Curve + false + 0 + + + + + + 8511 + 27836 + 41 + 20 + + + 8533 + 27846 + + + + + + + + Domain of original curve. + 1c3d95c6-f7c9-4c5d-8b42-e0ca74be1f81 + true + Domain + Domain + false + 0 + + + + + + 8511 + 27856 + 41 + 20 + + + 8533 + 27866 + + + + + + + + + + + + 429cbba9-55ee-4e84-98ea-876c44db879a + Sub Curve + + + + + Construct a curve from the sub-domain of a base curve. + true + f4b20cd0-ad6e-4694-a5db-9f4fb1e8a455 + true + Sub Curve + Sub Curve + + + + + + 8434 + 27647 + 124 + 44 + + + 8508 + 27669 + + + + + + Base curve + b2054661-b9be-4a99-80b8-0940f81794fc + true + Base curve + Base curve + false + cbbcf946-4aec-4d46-b72b-a606f7a104bf + 1 + + + + + + 8436 + 27649 + 57 + 20 + + + 8466 + 27659 + + + + + + + + Sub-domain to extract + a00cd4a1-6e37-4826-88fd-51d54410a69a + true + Domain + Domain + false + 9334ae67-07c7-4834-8b06-7a33f4821639 + 1 + + + + + + 8436 + 27669 + 57 + 20 + + + 8466 + 27679 + + + + + + + + Resulting sub curve + 28ffb627-e1d3-4ada-af3e-d72a32b969c3 + true + Curve + Curve + false + 0 + + + + + + 8523 + 27649 + 33 + 40 + + + 8541 + 27669 + + + + + + + + + + + + 825ea536-aebb-41e9-af32-8baeb2ecb590 + Deconstruct Domain + + + + + Deconstruct a numeric domain into its component parts. + true + b1869d86-deda-4a0d-9417-d722ff5a6f76 + true + Deconstruct Domain + Deconstruct Domain + + + + + + 8444 + 27772 + 104 + 44 + + + 8502 + 27794 + + + + + + Base domain + a2c803c9-f57f-499b-9b73-ba3c6b2d2ab7 + true + Domain + Domain + false + 1c3d95c6-f7c9-4c5d-8b42-e0ca74be1f81 + 1 + + + + + + 8446 + 27774 + 41 + 40 + + + 8468 + 27794 + + + + + + + + Start of domain + 31ee45b7-0163-43d0-be13-20bb206e237a + true + Start + Start + false + 0 + + + + + + 8517 + 27774 + 29 + 20 + + + 8533 + 27784 + + + + + + + + End of domain + dee37b89-9305-4a36-9179-6d97ca46646d + true + End + End + false + 0 + + + + + + 8517 + 27794 + 29 + 20 + + + 8533 + 27804 + + + + + + + + + + + + d1a28e95-cf96-4936-bf34-8bf142d731bf + Construct Domain + + + + + Create a numeric domain from two numeric extremes. + true + 055cc576-c38c-4518-a0b7-02351a6ac391 + true + Construct Domain + Construct Domain + + + + + + 8418 + 27709 + 156 + 44 + + + 8516 + 27731 + + + + + + Start value of numeric domain + b7629d1e-f2a9-4510-81c4-bb8df98eeaea + X/2 + true + Domain start + Domain start + false + dee37b89-9305-4a36-9179-6d97ca46646d + 1 + + + + + + 8420 + 27711 + 81 + 20 + + + 8470 + 27721 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + End value of numeric domain + fa41cdac-411c-4290-8d64-738b3324437b + true + Domain end + Domain end + false + dee37b89-9305-4a36-9179-6d97ca46646d + 1 + + + + + + 8420 + 27731 + 81 + 20 + + + 8470 + 27741 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Numeric domain between {A} and {B} + 9334ae67-07c7-4834-8b06-7a33f4821639 + true + Domain + Domain + false + 0 + + + + + + 8531 + 27711 + 41 + 40 + + + 8553 + 27731 + + + + + + + + + + + + e9eb1dcf-92f6-4d4d-84ae-96222d60f56b + Move + + + + + Translate (move) an object along a vector. + true + 450d1836-007e-42fe-9e6e-fe593816a576 + true + Move + Move + + + + + + 8420 + 27575 + 138 + 44 + + + 8488 + 27597 + + + + + + Base geometry + 68453121-dd05-471b-a271-3b0e6e0e6681 + true + Geometry + Geometry + true + 28ffb627-e1d3-4ada-af3e-d72a32b969c3 + 1 + + + + + + 8422 + 27577 + 51 + 20 + + + 8449 + 27587 + + + + + + + + Translation vector + e88170f6-4ac7-4245-a6a9-6b3334fc6328 + true + Motion + Motion + false + 0 + + + + + + 8422 + 27597 + 51 + 20 + + + 8449 + 27607 + + + + + + 1 + + + + + 1 + {0} + + + + + + -0.5 + -0.5 + 0 + + + + + + + + + + + + Translated geometry + 44ac77be-fbeb-466e-bddb-7f1328440517 + true + Geometry + Geometry + false + 0 + + + + + + 8503 + 27577 + 53 + 20 + + + 8531 + 27587 + + + + + + + + Transformation data + df6843f5-81ac-4924-88f4-bf5656d3e788 + true + Transform + Transform + false + 0 + + + + + + 8503 + 27597 + 53 + 20 + + + 8531 + 27607 + + + + + + + + + + + + 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 + Scale + + + + + Scale an object uniformly in all directions. + true + c29714be-f7d1-4db0-91e2-ed8c9ccfa8c6 + true + Scale + Scale + + + + + + 8420 + 27488 + 138 + 64 + + + 8488 + 27520 + + + + + + Base geometry + 4d9bfc44-2c61-4e4f-bb88-4b8e0e181ef0 + true + Geometry + Geometry + true + 44ac77be-fbeb-466e-bddb-7f1328440517 + 1 + + + + + + 8422 + 27490 + 51 + 20 + + + 8449 + 27500 + + + + + + + + Center of scaling + aedb4df6-b9b1-4980-9b64-4f53b9963a22 + true + Center + Center + false + 0 + + + + + + 8422 + 27510 + 51 + 20 + + + 8449 + 27520 + + + + + + 1 + + + + + 1 + {0} + + + + + + + 0 + 0 + 0 + + + + + + + + + + + + Scaling factor + eea675a8-779d-4d23-82f1-8d86d1584a87 + true + Factor + Factor + false + 0 + + + + + + 8422 + 27530 + 51 + 20 + + + 8449 + 27540 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Scaled geometry + 7dcd6b2d-8a1b-43b9-a02b-7edb3c6aca31 + true + Geometry + Geometry + false + 0 + + + + + + 8503 + 27490 + 53 + 30 + + + 8531 + 27505 + + + + + + + + Transformation data + a359d01a-11cf-4ae0-abbb-97ed147383af + true + Transform + Transform + false + 0 + + + + + + 8503 + 27520 + 53 + 30 + + + 8531 + 27535 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 145da25a-2a67-48d1-8b10-c024ec21e886 + true + Curve + Curve + false + 7dcd6b2d-8a1b-43b9-a02b-7edb3c6aca31 + 1 + + + + + + 8463 + 27443 + 50 + 24 + + + 8488.357 + 27455.06 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9d0d1d25-33a3-42a0-a9f9-e43449abed81 + 27269ca2-746d-493e-bd7f-1659cea6783b + f4b20cd0-ad6e-4694-a5db-9f4fb1e8a455 + b1869d86-deda-4a0d-9417-d722ff5a6f76 + 055cc576-c38c-4518-a0b7-02351a6ac391 + 450d1836-007e-42fe-9e6e-fe593816a576 + c29714be-f7d1-4db0-91e2-ed8c9ccfa8c6 + 145da25a-2a67-48d1-8b10-c024ec21e886 + 8 + 63aabaa5-28e3-4fc1-b4ee-df782655ab68 + Group + + + + + + + + + + + 3581f42a-9592-4549-bd6b-1c0fc39d067b + Construct Point + + + + + Construct a point from {xyz} coordinates. + true + 46310504-a1a9-4ae4-8be0-ff0a4342b67d + Construct Point + Construct Point + + + + + + 3193 + 7589 + 129 + 64 + + + 3275 + 7621 + + + + + + {x} coordinate + 331b9071-518c-4af3-8dbc-1d55b63bdb34 + X coordinate + X coordinate + false + bc40f179-b9f6-45ce-b849-e07a5cd91521 + 1 + + + + + + 3195 + 7591 + 65 + 20 + + + 3229 + 7601 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + {y} coordinate + 847f8f61-ae3d-4ebe-b6cb-50bccad080cf + Y coordinate + Y coordinate + false + 8facceac-89af-473f-a30b-a8fc1994c445 + 1 + + + + + + 3195 + 7611 + 65 + 20 + + + 3229 + 7621 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + {z} coordinate + f282d42a-de2a-45f0-9448-e10cdddd1757 + Z coordinate + Z coordinate + false + 0 + + + + + + 3195 + 7631 + 65 + 20 + + + 3229 + 7641 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Point coordinate + 9f12e306-dfa3-4a81-a306-bc35b527a5e0 + Point + Point + false + 0 + + + + + + 3290 + 7591 + 30 + 60 + + + 3306.5 + 7621 + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + true + 8cc65847-9651-467c-aaf7-27e104d88686 + Series + Series + + + + + + 3182 + 7709 + 117 + 64 + + + 3248 + 7741 + + + + + + First number in the series + 06d7d97b-2e43-4bfc-8414-f60af95bfbb9 + Start + Start + false + 0 + + + + + + 3184 + 7711 + 49 + 20 + + + 3218 + 7721 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Step size for each successive number + 267b5351-858f-4fbc-951e-d4c9f82f6e30 + 1/X + Step + Step + false + 51740366-f287-4ff9-a8ff-68fa512a6225 + 1 + + + + + + 3184 + 7731 + 49 + 20 + + + 3218 + 7741 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + cc6de1d1-00ba-4e9a-ac02-082d7c92da2e + X+1 + Count + Count + false + 51740366-f287-4ff9-a8ff-68fa512a6225 + 1 + + + + + + 3184 + 7751 + 49 + 20 + + + 3218 + 7761 + + + + + + 1 + + + + + 1 + {0} + + + + + 17 + + + + + + + + + + + 1 + Series of numbers + bc40f179-b9f6-45ce-b849-e07a5cd91521 + Series + Series + false + 0 + + + + + + 3263 + 7711 + 34 + 60 + + + 3281.5 + 7741 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + -COS(4*ATAN(1)*X)/2+.5 + true + 0248f3da-ed00-46b3-94db-bcc43c722729 + Expression + + + + + + + 3135 + 7668 + 235 + 28 + + + 3255 + 7682 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 63c6df48-d7b9-4003-b79e-041c4b0d58cd + Variable X + X + true + bc40f179-b9f6-45ce-b849-e07a5cd91521 + 1 + + + + + + 3137 + 7670 + 14 + 24 + + + 3145.5 + 7682 + + + + + + + + Result of expression + 8facceac-89af-473f-a30b-a8fc1994c445 + Result + + false + 0 + + + + + + 3359 + 7670 + 9 + 24 + + + 3365 + 7682 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 51740366-f287-4ff9-a8ff-68fa512a6225 + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 256.0 + + + + + + 3120 + 7793 + 250 + 20 + + + 3120.993 + 7793.466 + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + ff81e62c-1030-404a-86a2-490091017c5f + true + Interpolate + Interpolate + + + + + + 3387 + 7635 + 125 + 84 + + + 3454 + 7677 + + + + + + 1 + Interpolation points + f11cff4f-e968-4d77-b7e0-9bf2ee2e2b7b + true + Vertices + Vertices + false + 9f12e306-dfa3-4a81-a306-bc35b527a5e0 + 1 + + + + + + 3389 + 7637 + 50 + 20 + + + 3415.5 + 7647 + + + + + + + + Curve degree + 50d54f02-2846-4f7f-8e53-cbe8bb802bfc + true + Degree + Degree + false + 0 + + + + + + 3389 + 7657 + 50 + 20 + + + 3415.5 + 7667 + + + + + + 1 + + + + + 1 + {0} + + + + + 3 + + + + + + + + + + + Periodic curve + f5a9e8ab-d090-4367-96cc-f6c7a19234c5 + true + Periodic + Periodic + false + 0 + + + + + + 3389 + 7677 + 50 + 20 + + + 3415.5 + 7687 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 799cb46c-230d-464a-b5a9-02561e2dd37e + true + KnotStyle + KnotStyle + false + 0 + + + + + + 3389 + 7697 + 50 + 20 + + + 3415.5 + 7707 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Resulting nurbs curve + ce4203c6-5e7a-4fc1-bfda-d021414b51f1 + true + Curve + Curve + false + 0 + + + + + + 3469 + 7637 + 41 + 26 + + + 3491 + 7650.333 + + + + + + + + Curve length + 0031ccfa-90e1-4470-a298-0a425da7421d + true + Length + Length + false + 0 + + + + + + 3469 + 7663 + 41 + 27 + + + 3491 + 7677 + + + + + + + + Curve domain + e656f53f-431e-4fe3-8b71-9b41f7b17ff9 + true + Domain + Domain + false + 0 + + + + + + 3469 + 7690 + 41 + 27 + + + 3491 + 7703.667 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6b5dde33-2b73-4932-aec6-21f0a310d499 + Relay + + false + 863776ad-d527-4591-8dd4-bc625085f22d + 1 + + + + + + 4346 + 11478 + 40 + 16 + + + 4366 + 11486 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 + Number + Number + false + 96971adb-dc6f-4220-b87f-875d4c7c2611 + 1 + + + + + + 6261 + 6963 + 50 + 24 + + + 6286.777 + 6975.872 + + + + + + 1 + + + + + 1 + {0} + + + + + 1024 + + + + + + + + + + + + + aaa665bd-fd6e-4ccb-8d2c-c5b33072125d + Curvature + + + + + Evaluate the curvature of a curve at a specified parameter. + true + 8ae45ee4-1438-4251-b4eb-e20159e46a74 + Curvature + Curvature + + + + + + 6218 + 6793 + 137 + 64 + + + 6288 + 6825 + + + + + + Curve to evaluate + 0235bc44-cf65-4397-89a7-81c786729ab2 + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6220 + 6795 + 53 + 30 + + + 6248 + 6810 + + + + + + + + Parameter on curve domain to evaluate + 52bd11a8-9a8d-4328-9e49-fdc583b4fb65 + Parameter + Parameter + false + e11887c9-8a2d-4694-9a58-d5c0ef1f7193 + 1 + + + + + + 6220 + 6825 + 53 + 30 + + + 6248 + 6840 + + + + + + + + Point on curve at {t} + f8db5649-328e-4006-ba71-562d43d81b7c + Point + Point + false + 0 + + + + + + 6303 + 6795 + 50 + 20 + + + 6329.5 + 6805 + + + + + + + + Curvature vector at {t} + 9a8056af-4ac0-4c82-8825-588205c691f0 + Curvature + Curvature + false + 0 + + + + + + 6303 + 6815 + 50 + 20 + + + 6329.5 + 6825 + + + + + + + + Curvature circle at {t} + 3b12977c-a11f-46b9-8e9b-fc067da9a3e8 + Curvature + Curvature + false + 0 + + + + + + 6303 + 6835 + 50 + 20 + + + 6329.5 + 6845 + + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + 58d39e6b-ee89-4621-9a03-8f77186ab6b0 + Divide Curve + Divide Curve + + + + + + 6224 + 6876 + 125 + 64 + + + 6274 + 6908 + + + + + + Curve to divide + 68bcc2ef-3055-416c-983c-5a46c575f54e + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6226 + 6878 + 33 + 20 + + + 6244 + 6888 + + + + + + + + Number of segments + 566171da-31bb-4bfa-b770-da60f917f4cf + Count + Count + false + 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 + 1 + + + + + + 6226 + 6898 + 33 + 20 + + + 6244 + 6908 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + df77a239-8d89-44eb-94bc-f4a7d6b3ca3a + Kinks + Kinks + false + 0 + + + + + + 6226 + 6918 + 33 + 20 + + + 6244 + 6928 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + 35757b58-f309-4287-864b-8fd8f19bb49e + Points + Points + false + 0 + + + + + + 6289 + 6878 + 58 + 20 + + + 6319.5 + 6888 + + + + + + + + 1 + Tangent vectors at division points + 4d851461-2f27-48e5-a8b5-ee5dcfd88103 + Tangents + Tangents + false + 0 + + + + + + 6289 + 6898 + 58 + 20 + + + 6319.5 + 6908 + + + + + + + + 1 + Parameter values at division points + e11887c9-8a2d-4694-9a58-d5c0ef1f7193 + Parameters + Parameters + false + 0 + + + + + + 6289 + 6918 + 58 + 20 + + + 6319.5 + 6928 + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 2 + Curve + Curve + false + 1a1e1173-cda4-4c91-a252-b2ab4ffd882d + 1 + + + + + + 6257 + 7393 + 53 + 24 + + + 6293.492 + 7405.687 + + + + + + + + + + 23862862-049a-40be-b558-2418aacbd916 + Deconstruct Arc + + + + + Retrieve the base plane, radius and angle domain of an arc. + true + 7d9f14c1-751a-4f85-90ce-62bc5ff4c00e + Deconstruct Arc + Deconstruct Arc + + + + + + 6229 + 6712 + 114 + 64 + + + 6269 + 6744 + + + + + + Arc or Circle to deconstruct + 2b103d58-44b5-4d58-b6ec-13d88be08fb6 + Arc + Arc + false + 3b12977c-a11f-46b9-8e9b-fc067da9a3e8 + 1 + + + + + + 6231 + 6714 + 23 + 60 + + + 6244 + 6744 + + + + + + + + Base plane of arc or circle + 6cd89808-2ff0-497c-bdbc-fb339f5e3f88 + Base Plane + Base Plane + false + 0 + + + + + + 6284 + 6714 + 57 + 20 + + + 6314 + 6724 + + + + + + + + Radius of arc or circle + 21467ea2-702c-47f8-aa77-3b1adc6000a2 + Radius + Radius + false + 0 + + + + + + 6284 + 6734 + 57 + 20 + + + 6314 + 6744 + + + + + + + + Angle domain (in radians) of arc + cbdadf3a-f368-408f-a975-60126bb356f5 + Angle + Angle + false + 0 + + + + + + 6284 + 6754 + 57 + 20 + + + 6314 + 6764 + + + + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + true + eeb5a2ff-80de-44bd-8725-62ba3fb70b8d + One Over X + One Over X + + + + + + 6236 + 6216 + 100 + 28 + + + 6285 + 6230 + + + + + + Input value + 79c5de14-8849-499f-984b-795c4ad27b2b + Value + Value + false + a3416d5a-59f0-4afa-ac1b-577f9f8b884d + 1 + + + + + + 6238 + 6218 + 32 + 24 + + + 6255.5 + 6230 + + + + + + + + Output value + eb544388-03d0-4f68-90cd-d5e1a1a58204 + Result + Result + false + 0 + + + + + + 6300 + 6218 + 34 + 24 + + + 6318.5 + 6230 + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + a3732d3e-0c50-481d-a1d6-1bcf28ea4e2c + Quick Graph + Quick Graph + false + 0 + 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 + 1 + + + + + + 6212 + 6035 + 150 + 150 + + + 6212.478 + 6035.526 + + -1 + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + 0542f2c7-d784-4468-81af-6cd229c065b0 + Line + Line + + + + + + 6229 + 6280 + 114 + 44 + + + 6301 + 6302 + + + + + + Line start point + f29f2466-148d-4282-89ad-03a6f5a9e181 + Start Point + Start Point + false + f8db5649-328e-4006-ba71-562d43d81b7c + 1 + + + + + + 6231 + 6282 + 55 + 20 + + + 6260 + 6292 + + + + + + + + Line end point + dc54e750-a4f0-46bd-891a-6cca57da0135 + End Point + End Point + false + 6cd89808-2ff0-497c-bdbc-fb339f5e3f88 + 1 + + + + + + 6231 + 6302 + 55 + 20 + + + 6260 + 6312 + + + + + + + + Line segment + cf465295-a5a9-4d96-9d09-8dbfb781bd6d + Line + Line + false + 0 + + + + + + 6316 + 6282 + 25 + 40 + + + 6330 + 6302 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + e4b4f0ff-76ef-4291-88b8-b23bc123220a + Line SDL + Line SDL + + + + + + 6225 + 5085 + 122 + 64 + + + 6305 + 5117 + + + + + + Line start point + aa8391c6-5f49-46a9-bc94-096327f59b06 + Start + Start + false + f8db5649-328e-4006-ba71-562d43d81b7c + 1 + + + + + + 6227 + 5087 + 63 + 20 + + + 6268 + 5097 + + + + + + + + Line tangent (direction) + 1d26878e-40fe-4e29-9f52-a434993d5399 + Direction + Direction + false + 9a8056af-4ac0-4c82-8825-588205c691f0 + 1 + + + + + + 6227 + 5107 + 63 + 20 + + + 6268 + 5117 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + d4105860-17e9-4617-a5fb-02e3082b9423 + -X + Length + Length + false + d97d64b8-f977-4888-92e0-872cdfcd9995 + 1 + + + + + + 6227 + 5127 + 63 + 20 + + + 6268 + 5137 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Line segment + 7d2f3aa9-ca02-4a98-ab8e-b4c374e55890 + Line + Line + false + 0 + + + + + + 6320 + 5087 + 25 + 60 + + + 6334 + 5117 + + + + + + + + + + + + 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 + af15813d-d7ce-4378-a915-77fd178fb218 + Evaluate Length + Evaluate Length + + + + + + 6214 + 4816 + 144 + 64 + + + 6288 + 4848 + + + + + + Curve to evaluate + bb61dc5a-f88b-4b21-93db-5bf06f68eadb + Curve + Curve + false + 7d2f3aa9-ca02-4a98-ab8e-b4c374e55890 + 1 + + + + + + 6216 + 4818 + 57 + 20 + + + 6246 + 4828 + + + + + + + + Length factor for curve evaluation + 52941361-e288-46cd-9e70-6e7e2790b3a3 + Length + Length + false + 0 + + + + + + 6216 + 4838 + 57 + 20 + + + 6246 + 4848 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 82fa2f0b-2632-4d34-a820-63b52730ee56 + Normalized + Normalized + false + 0 + + + + + + 6216 + 4858 + 57 + 20 + + + 6246 + 4868 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 07c81047-9c95-4fe8-8d3b-c0ce84bd92a9 + Point + Point + false + 0 + + + + + + 6303 + 4818 + 53 + 20 + + + 6331 + 4828 + + + + + + + + Tangent vector at the specified length + 4913f963-839a-4fa2-968d-a6ab9d1e7a07 + Tangent + Tangent + false + 0 + + + + + + 6303 + 4838 + 53 + 20 + + + 6331 + 4848 + + + + + + + + Curve parameter at the specified length + eb5fe915-633e-48b7-b5a9-8f07f15ecbf2 + Parameter + Parameter + false + 0 + + + + + + 6303 + 4858 + 53 + 20 + + + 6331 + 4868 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + true + 8752c3dd-f212-4d33-9640-6da816769b71 + Interpolate + Interpolate + + + + + + 6224 + 4714 + 125 + 84 + + + 6291 + 4756 + + + + + + 1 + Interpolation points + 5a74a938-7b90-4276-b7e1-442a08be52d1 + Vertices + Vertices + false + 07c81047-9c95-4fe8-8d3b-c0ce84bd92a9 + 1 + + + + + + 6226 + 4716 + 50 + 20 + + + 6252.5 + 4726 + + + + + + + + Curve degree + bbe49acd-0944-49c7-8dd5-662d130193dd + Degree + Degree + false + 0 + + + + + + 6226 + 4736 + 50 + 20 + + + 6252.5 + 4746 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 4dd58712-49c2-405c-90e0-a2d106aa934a + Periodic + Periodic + false + 0 + + + + + + 6226 + 4756 + 50 + 20 + + + 6252.5 + 4766 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 5670c25b-73be-4b08-a18a-0aaec4d9b7fa + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + 4776 + 50 + 20 + + + 6252.5 + 4786 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 120dd180-02d5-4545-ae95-f89f7d5bc957 + Curve + Curve + false + 0 + + + + + + 6306 + 4716 + 41 + 26 + + + 6328 + 4729.333 + + + + + + + + Curve length + 5a6f8bad-c5a1-49a9-97ab-f0874c857b98 + Length + Length + false + 0 + + + + + + 6306 + 4742 + 41 + 27 + + + 6328 + 4756 + + + + + + + + Curve domain + 26329818-c7f1-42cc-a079-62d5853ad2b7 + Domain + Domain + false + 0 + + + + + + 6306 + 4769 + 41 + 27 + + + 6328 + 4782.667 + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 2a1ae95f-574e-4ccc-8ffd-31d4ae4bee19 + Number + Number + false + 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 + 1 + + + + + + 6261 + 4623 + 50 + 24 + + + 6286.512 + 4635.662 + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 50b7ed13-0a6a-4a2e-9366-e47c845e770f + Curve + Curve + false + 120dd180-02d5-4545-ae95-f89f7d5bc957 + 1 + + + + + + 6261 + 4669 + 50 + 24 + + + 6286.992 + 4681.434 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 + Relay + + false + eb544388-03d0-4f68-90cd-d5e1a1a58204 + 1 + + + + + + 6266 + 6200 + 40 + 16 + + + 6286 + 6208 + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 7f8f96f2-7fa2-46ff-8c8e-60da9fe78fb2 + Create Material + Create Material + + + + + + 6214 + 4960 + 144 + 104 + + + 6298 + 5012 + + + + + + Colour of the diffuse channel + 884af5f7-9cca-4c77-bc11-7ff80d1cf207 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + 4962 + 67 + 20 + + + 6251 + 4972 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;247;247;247 + + + + + + + + + + + + Colour of the specular highlight + bfe308be-f92d-487c-8bb9-542fc830783a + Specular + Specular + false + 0 + + + + + + 6216 + 4982 + 67 + 20 + + + 6251 + 4992 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 30f97a09-4406-4b4e-9c4a-d66368097406 + Emission + Emission + false + 0 + + + + + + 6216 + 5002 + 67 + 20 + + + 6251 + 5012 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + c862f0ea-bbfc-4fc6-9dee-927b0989348f + Transparency + Transparency + false + 0 + + + + + + 6216 + 5022 + 67 + 20 + + + 6251 + 5032 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + ecd4184f-916e-4971-96a9-0c9f19a94424 + Shine + Shine + false + 0 + + + + + + 6216 + 5042 + 67 + 20 + + + 6251 + 5052 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 6bd6491c-d5c7-44f0-ae54-95e33889505e + Material + Material + false + 0 + + + + + + 6313 + 4962 + 43 + 100 + + + 6336 + 5012 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + c6a0d1ce-c8f1-4423-b00e-8925b5c3134e + Custom Preview + Custom Preview + + + + + + + 6245 + 4900 + 82 + 44 + + + 6313 + 4922 + + + + + + Geometry to preview + true + 4610552b-56df-4e43-8f25-5d26a2db596d + Geometry + Geometry + false + 7d2f3aa9-ca02-4a98-ab8e-b4c374e55890 + 1 + + + + + + 6247 + 4902 + 51 + 20 + + + 6274 + 4912 + + + + + + + + The material override + 5299ff80-1d9c-4118-8113-a79bd808c405 + Material + Material + false + 6bd6491c-d5c7-44f0-ae54-95e33889505e + 1 + + + + + + 6247 + 4922 + 51 + 20 + + + 6274 + 4932 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 9f0325b6-6ebf-406a-99eb-5f119bb3fffe + Create Material + Create Material + + + + + + 6214 + 7223 + 144 + 104 + + + 6298 + 7275 + + + + + + Colour of the diffuse channel + 46a33492-a8db-4c5d-ac0c-9ef4c82da5ae + Diffuse + Diffuse + false + 0 + + + + + + 6216 + 7225 + 67 + 20 + + + 6251 + 7235 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;176;176;176 + + + + + + + + + + + + Colour of the specular highlight + 1689a242-691b-4973-8abf-0ba353eed2e3 + Specular + Specular + false + 0 + + + + + + 6216 + 7245 + 67 + 20 + + + 6251 + 7255 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 0c913caf-d443-43f0-8c2d-17d78377f4d8 + Emission + Emission + false + 0 + + + + + + 6216 + 7265 + 67 + 20 + + + 6251 + 7275 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + f94fbecb-18e0-43da-9a12-c35f89bfdb87 + Transparency + Transparency + false + 0 + + + + + + 6216 + 7285 + 67 + 20 + + + 6251 + 7295 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 5f2eb705-91c9-4d23-99c0-434a070d36b1 + Shine + Shine + false + 0 + + + + + + 6216 + 7305 + 67 + 20 + + + 6251 + 7315 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 0ff09654-746a-40b7-809c-7e64e9e3bd09 + Material + Material + false + 0 + + + + + + 6313 + 7225 + 43 + 100 + + + 6336 + 7275 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + a076fb8b-40bd-4f35-b602-1c30985b9780 + Custom Preview + Custom Preview + + + + + + + 6245 + 7162 + 82 + 44 + + + 6313 + 7184 + + + + + + Geometry to preview + true + 03401d44-cbb1-48c5-9113-5e481b5eb371 + Geometry + Geometry + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6247 + 7164 + 51 + 20 + + + 6274 + 7174 + + + + + + + + The material override + 18adad74-02b5-4b93-bf42-3975e3aadaf7 + Material + Material + false + 0ff09654-746a-40b7-809c-7e64e9e3bd09 + 1 + + + + + + 6247 + 7184 + 51 + 20 + + + 6274 + 7194 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + c24bd498-f66f-4f16-a577-24dff54751e9 + Create Material + Create Material + + + + + + 6214 + 4465 + 144 + 104 + + + 6298 + 4517 + + + + + + Colour of the diffuse channel + 93234182-89cc-481b-a1e7-af85e2d62cc2 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + 4467 + 67 + 20 + + + 6251 + 4477 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;222;222;222 + + + + + + + + + + + + Colour of the specular highlight + 1924ba47-da46-4e22-8c16-37a4c5d8f1a1 + Specular + Specular + false + 0 + + + + + + 6216 + 4487 + 67 + 20 + + + 6251 + 4497 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 78ced00d-dc11-43e5-85ae-1dd35db45ac4 + Emission + Emission + false + 0 + + + + + + 6216 + 4507 + 67 + 20 + + + 6251 + 4517 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 5b1fc849-3011-45c6-ab86-78ded2016f31 + Transparency + Transparency + false + 0 + + + + + + 6216 + 4527 + 67 + 20 + + + 6251 + 4537 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + e89bfece-2bcc-4013-88e8-91983624e165 + Shine + Shine + false + 0 + + + + + + 6216 + 4547 + 67 + 20 + + + 6251 + 4557 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 1d0a5303-eff8-454b-8ee4-7d8b6bce9783 + Material + Material + false + 0 + + + + + + 6313 + 4467 + 43 + 100 + + + 6336 + 4517 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 55bbfe92-8192-4209-9cc4-1d4e68bcbe85 + Custom Preview + Custom Preview + + + + + + + 6245 + 4402 + 82 + 44 + + + 6313 + 4424 + + + + + + Geometry to preview + true + 98ee8413-c8d9-4558-822f-4e90e638c55c + Geometry + Geometry + false + 50b7ed13-0a6a-4a2e-9366-e47c845e770f + 1 + + + + + + 6247 + 4404 + 51 + 20 + + + 6274 + 4414 + + + + + + + + The material override + 0d2089da-24ea-4860-8bbf-1ebb3bb92784 + Material + Material + false + 1d0a5303-eff8-454b-8ee4-7d8b6bce9783 + 1 + + + + + + 6247 + 4424 + 51 + 20 + + + 6274 + 4434 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 7376fe41-74ec-497e-b367-1ffe5072608b + Curvature Graph + + + + + Draws Rhino Curvature Graphs. + true + 533a2de5-095d-4b29-8e2a-fcbc2cd6a144 + true + Curvature Graph + Curvature Graph + + + + + + 6251 + 7041 + 71 + 64 + + + 6308 + 7073 + + + + + + Curve for Curvature graph display + true + 8509b49d-7f23-45d1-9b5c-659824c94bf6 + true + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6253 + 7043 + 40 + 20 + + + 6274.5 + 7053 + + + + + + + + Sampling density of the Graph + 997a483b-4e7c-43ea-9244-67b7bf8ba207 + true + Density + Density + false + 0 + + + + + + 6253 + 7063 + 40 + 20 + + + 6274.5 + 7073 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scale of graph + 17b0fc83-1a3c-4f8e-8aab-c1888f987395 + true + Scale + Scale + false + 53e40d4e-8d4b-48dc-9719-1602db6139bb + 1 + + + + + + 6253 + 7083 + 40 + 20 + + + 6274.5 + 7093 + + + + + + 1 + + + + + 1 + {0} + + + + + 105 + + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 53e40d4e-8d4b-48dc-9719-1602db6139bb + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 87.0 + + + + + + 6161 + 7132 + 250 + 20 + + + 6161.735 + 7132.724 + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 50cc850b-f636-468a-b97a-e4cd5d02cc7a + Remap Numbers + Remap Numbers + + + + + + 6229 + 5390 + 115 + 64 + + + 6284 + 5422 + + + + + + Value to remap + cc86bcee-211a-435a-8617-81fb0e98865a + Value + Value + false + bd8802e7-f2ec-4e84-bccc-f0b136310370 + 1 + + + + + + 6231 + 5392 + 38 + 20 + + + 6251.5 + 5402 + + + + + + + + Source domain + 214f6851-885d-4a66-aa99-ea242c741745 + Source + Source + false + c7e433ac-345f-4c26-8014-a904e0b23e8e + 1 + + + + + + 6231 + 5412 + 38 + 20 + + + 6251.5 + 5422 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 40764e61-e8be-4e6d-a9bd-c36d697d7e2c + Target + Target + false + 0 + + + + + + 6231 + 5432 + 38 + 20 + + + 6251.5 + 5442 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Remapped number + bd96dd06-38a3-412f-9f7d-1c537ee866a1 + Mapped + Mapped + false + 0 + + + + + + 6299 + 5392 + 43 + 30 + + + 6322 + 5407 + + + + + + + + Remapped and clipped number + 887eb2b0-4635-48ce-80c4-7d066447af57 + Clipped + Clipped + false + 0 + + + + + + 6299 + 5422 + 43 + 30 + + + 6322 + 5437 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + fd4c3ddc-1ea5-4192-a416-b0fdb190ae82 + Bounds + Bounds + + + + + + 6225 + 5472 + 122 + 28 + + + 6289 + 5486 + + + + + + 1 + Numbers to include in Bounds + c3a0e3bf-810e-40b5-bb64-d4a976cb6512 + Numbers + Numbers + false + bd8802e7-f2ec-4e84-bccc-f0b136310370 + 1 + + + + + + 6227 + 5474 + 47 + 24 + + + 6252 + 5486 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + c7e433ac-345f-4c26-8014-a904e0b23e8e + Domain + Domain + false + 0 + + + + + + 6304 + 5474 + 41 + 24 + + + 6326 + 5486 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + bd8802e7-f2ec-4e84-bccc-f0b136310370 + Relay + + false + 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 + 1 + + + + + + 6266 + 5519 + 40 + 16 + + + 6286 + 5527 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d97d64b8-f977-4888-92e0-872cdfcd9995 + Relay + + false + dc531d97-359a-49ed-845e-f8e7e47000de + 1 + + + + + + 6266 + 5163 + 40 + 16 + + + 6286 + 5171 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 6010a711-ea32-4573-ba8b-0c51a52d95bd + Multiplication + Multiplication + + + + + + 6245 + 5191 + 82 + 44 + + + 6276 + 5213 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 6d054709-5596-4f67-9857-d6a2031e66ff + A + A + true + db8c1a8c-acbe-4755-add3-f4a74076c3dd + 1 + + + + + + 6247 + 5193 + 14 + 20 + + + 6255.5 + 5203 + + + + + + + + Second item for multiplication + b195d8e6-490f-46ed-9baa-67d8be2e9ffa + B + B + true + 1d2ae44f-a2c0-44ec-a769-3a3d92398116 + 1 + + + + + + 6247 + 5213 + 14 + 20 + + + 6255.5 + 5223 + + + + + + + + Result of multiplication + dc531d97-359a-49ed-845e-f8e7e47000de + Result + Result + false + 0 + + + + + + 6291 + 5193 + 34 + 40 + + + 6309.5 + 5213 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 89e871e1-25b0-4904-8268-ab7f1e99953a + true + Expression + Expression + + + + + + 6189 + 6649 + 194 + 28 + + + 6289 + 6663 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 957a0f90-c94a-4eed-b2b9-4f33214fb0e8 + true + Variable O + O + true + a3416d5a-59f0-4afa-ac1b-577f9f8b884d + 1 + + + + + + 6191 + 6651 + 14 + 24 + + + 6199.5 + 6663 + + + + + + + + Result of expression + d5b86ce7-4057-476b-9452-831f6457ae06 + true + Result + + false + 0 + + + + + + 6372 + 6651 + 9 + 24 + + + 6378 + 6663 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 151700ae-7136-49e1-a91f-f3c97532cf24 + Panel + + false + 1 + d5b86ce7-4057-476b-9452-831f6457ae06 + 1 + Double click to edit panel content… + + + + + + 6194 + 6364 + 185 + 271 + + 0 + 0 + 0 + + 6194.824 + 6364.744 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fe002072-eada-42e5-8344-3f109b1d3e3b + Relay + + false + 151700ae-7136-49e1-a91f-f3c97532cf24 + 1 + + + + + + 6266 + 6340 + 40 + 16 + + + 6286 + 6348 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a3416d5a-59f0-4afa-ac1b-577f9f8b884d + Relay + + false + 21467ea2-702c-47f8-aa77-3b1adc6000a2 + 1 + + + + + + 6266 + 6696 + 40 + 16 + + + 6286 + 6704 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 89e871e1-25b0-4904-8268-ab7f1e99953a + 151700ae-7136-49e1-a91f-f3c97532cf24 + fe002072-eada-42e5-8344-3f109b1d3e3b + a3416d5a-59f0-4afa-ac1b-577f9f8b884d + 4 + 45ba074d-cd38-4d2a-b299-39c960d29e58 + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + bb7187be-64de-4991-b04a-2d4022623ab0 + true + Expression + Expression + + + + + + 6189 + 5949 + 194 + 28 + + + 6289 + 5963 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + fd5f0c6e-2e1d-4da5-9f68-a16304888d40 + true + Variable O + O + true + 379554e2-95a0-431e-8e6a-34e3a3935fba + 1 + + + + + + 6191 + 5951 + 14 + 24 + + + 6199.5 + 5963 + + + + + + + + Result of expression + a19fffb2-cc56-4fff-9d5f-7ee3e1871bcb + true + Result + + false + 0 + + + + + + 6372 + 5951 + 9 + 24 + + + 6378 + 5963 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f6da17c7-b784-461f-a8c3-bb7be187a8a0 + Panel + + false + 0 + a19fffb2-cc56-4fff-9d5f-7ee3e1871bcb + 1 + Double click to edit panel content… + + + + + + 6186 + 5665 + 200 + 271 + + 0 + 0 + 0 + + 6186.891 + 5665.506 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d8aa61ac-caf9-42ab-8d0a-f0154b7926bf + Relay + + false + f6da17c7-b784-461f-a8c3-bb7be187a8a0 + 1 + + + + + + 6266 + 5621 + 40 + 16 + + + 6286 + 5629 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 379554e2-95a0-431e-8e6a-34e3a3935fba + Relay + + false + 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 + 1 + + + + + + 6266 + 5996 + 40 + 16 + + + 6286 + 6004 + + + + + + + + + + c75b62fa-0a33-4da7-a5bd-03fd0068fd93 + Length + + + + + Measure the length of a curve. + true + b51dc070-4ff7-4331-a77e-8e7a0f5aef8e + Length + Length + + + + + + 6234 + 7346 + 104 + 28 + + + 6284 + 7360 + + + + + + Curve to measure + 1b61d063-2308-404c-8fa5-4ca5f6cdc7ed + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6236 + 7348 + 33 + 24 + + + 6254 + 7360 + + + + + + + + Curve length + 6e9b77db-7611-4fec-817e-dc345f560150 + Length + Length + false + 0 + + + + + + 6299 + 7348 + 37 + 24 + + + 6319 + 7360 + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + f3870545-9824-4694-9fee-7a43d6ed2670 + Multiplication + Multiplication + + + + + + 6245 + 5298 + 82 + 44 + + + 6276 + 5320 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 3ddc7f55-2ef0-497a-94e3-04e269775fac + A + A + true + 224abc3f-a87a-45f8-993d-3e12e7ef8b3f + 1 + + + + + + 6247 + 5300 + 14 + 20 + + + 6255.5 + 5310 + + + + + + + + Second item for multiplication + 0ae5d6cd-806e-483f-9a95-b5afe75653eb + B + B + true + bd96dd06-38a3-412f-9f7d-1c537ee866a1 + 1 + + + + + + 6247 + 5320 + 14 + 20 + + + 6255.5 + 5330 + + + + + + + + Result of multiplication + db8c1a8c-acbe-4755-add3-f4a74076c3dd + Result + Result + false + 0 + + + + + + 6291 + 5300 + 34 + 40 + + + 6309.5 + 5320 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 81598716-14eb-41f3-bc1c-588c7c0dafb9 + Relay + + false + 2d1658d8-cdd5-4fe6-bdba-3f205db2e2c1 + 1 + + + + + + 6266 + 4589 + 40 + 16 + + + 6286 + 4597 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 1f25a485-df54-4c1a-8980-90082d91f997 + Digit Scroller + + false + 0 + + + + + 12 + + 11 + + 256.0 + + + + + + 6161 + 7006 + 250 + 20 + + + 6161.735 + 7006.728 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d1afeb2b-afdb-482a-a9f6-8c00b33253e7 + Relay + + false + cf465295-a5a9-4d96-9d09-8dbfb781bd6d + 1 + + + + + + 6266 + 6264 + 40 + 16 + + + 6286 + 6272 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 224abc3f-a87a-45f8-993d-3e12e7ef8b3f + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + 5363 + 40 + 16 + + + 6286 + 5371 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 1d2ae44f-a2c0-44ec-a769-3a3d92398116 + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.03125000000 + + + + + + 6162 + 5256 + 250 + 20 + + + 6162.42 + 5256.216 + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + d16b55bb-51fe-4ac6-8df8-106c39c9f1b3 + Explode + Explode + + + + + + 6218 + 4194 + 136 + 44 + + + 6285 + 4216 + + + + + + Curve to explode + 2b4f13bd-f698-4233-9f9f-e506f30c4755 + Curve + Curve + false + 50b7ed13-0a6a-4a2e-9366-e47c845e770f + 1 + + + + + + 6220 + 4196 + 50 + 20 + + + 6246.5 + 4206 + + + + + + + + Recursive decomposition until all segments are atomic + da9606bf-2c02-483e-8dec-3d30d18f0be2 + Recursive + Recursive + false + 0 + + + + + + 6220 + 4216 + 50 + 20 + + + 6246.5 + 4226 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + b6984176-dcf7-4b17-9ed5-bcca669a9a88 + Segments + Segments + false + 0 + + + + + + 6300 + 4196 + 52 + 20 + + + 6327.5 + 4206 + + + + + + + + 1 + Vertices of the exploded segments + 2b288d44-5b24-4fa6-9e3f-cc827256dd26 + Vertices + Vertices + false + 0 + + + + + + 6300 + 4216 + 52 + 20 + + + 6327.5 + 4226 + + + + + + + + + + + + 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 + 55f1c7e0-6646-4cc8-8195-3ff0bc546430 + Evaluate Length + Evaluate Length + + + + + + 6214 + 4111 + 144 + 64 + + + 6288 + 4143 + + + + + + Curve to evaluate + 13a5521f-e9dc-4c29-9f6e-cc58fe4676d8 + Curve + Curve + false + b6984176-dcf7-4b17-9ed5-bcca669a9a88 + 1 + + + + + + 6216 + 4113 + 57 + 20 + + + 6246 + 4123 + + + + + + + + Length factor for curve evaluation + 68965506-3b76-49c4-a7cb-f4ebd55c06e0 + Length + Length + false + 0 + + + + + + 6216 + 4133 + 57 + 20 + + + 6246 + 4143 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 66c58978-c61f-4d60-879d-44deaac27bbb + Normalized + Normalized + false + 0 + + + + + + 6216 + 4153 + 57 + 20 + + + 6246 + 4163 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af + Point + Point + false + 0 + + + + + + 6303 + 4113 + 53 + 20 + + + 6331 + 4123 + + + + + + + + Tangent vector at the specified length + 02056aec-db5b-4529-9125-473474421ea0 + Tangent + Tangent + false + 0 + + + + + + 6303 + 4133 + 53 + 20 + + + 6331 + 4143 + + + + + + + + Curve parameter at the specified length + 26128cd1-0778-40ff-aba4-ec7f5171c242 + Parameter + Parameter + false + 0 + + + + + + 6303 + 4153 + 53 + 20 + + + 6331 + 4163 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + 845f5ae1-563a-4eba-9bd2-1f364dec84f2 + Line SDL + Line SDL + + + + + + 6225 + 2478 + 122 + 64 + + + 6305 + 2510 + + + + + + Line start point + 8c947a34-e3dc-4b70-aa19-4f9293e20ef2 + Start + Start + false + 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af + 1 + + + + + + 6227 + 2480 + 63 + 20 + + + 6268 + 2490 + + + + + + + + Line tangent (direction) + f2f1214e-0164-41a0-a4a0-97691a1e04c9 + Direction + Direction + false + 974f6703-6679-4d74-a08a-0db9438145fc + 1 + + + + + + 6227 + 2500 + 63 + 20 + + + 6268 + 2510 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 7e16f714-33bb-4448-ae0d-a2cdcab04a7d + ABS(X) + Length + Length + false + 1e2f2e7b-1c43-46d7-8188-931698467786 + 1 + + + + + + 6227 + 2520 + 63 + 20 + + + 6268 + 2530 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + cc9df7f8-c2be-44d9-817d-a344480c9ecf + Line + Line + false + 0 + + + + + + 6320 + 2480 + 25 + 60 + + + 6334 + 2510 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + edfbaf71-ae8b-4a14-ba3d-8ffe64b466be + Relative Differences + Relative Differences + + + + + + 6222 + 3768 + 128 + 28 + + + 6275 + 3782 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 892c9b24-2cd0-4ff0-a6ed-c25903a48827 + Values + Values + false + 46880d17-53fe-4c23-bf41-e4b8cc1d6dcc + 1 + + + + + + 6224 + 3770 + 36 + 24 + + + 6243.5 + 3782 + + + + + + + + 1 + Differences between consecutive items + 82c51ed9-1201-4b4d-803d-ed22294ac658 + Differenced + Differenced + false + 0 + + + + + + 6290 + 3770 + 58 + 24 + + + 6320.5 + 3782 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + e7334885-e509-483f-84d0-4a94b25496cd + Replace Nulls + Replace Nulls + + + + + + 6218 + 3824 + 136 + 44 + + + 6304 + 3846 + + + + + + 1 + Items to test for null + 5de06ade-4727-447d-80b9-15302c522587 + Items + Items + false + 561c9228-a8c7-4f00-aef1-86f36b7ee383 + 1 + + + + + + 6220 + 3826 + 69 + 20 + + + 6256 + 3836 + + + + + + + + 1 + Items to replace nulls with + 1e1d18d5-1b4e-4a9f-9a8e-f2acc0274e8d + Replacements + Replacements + false + 0 + + + + + + 6220 + 3846 + 69 + 20 + + + 6256 + 3856 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 46880d17-53fe-4c23-bf41-e4b8cc1d6dcc + Items + Items + false + 0 + + + + + + 6319 + 3826 + 33 + 20 + + + 6337 + 3836 + + + + + + + + Number of items replaced + 306f194e-0660-4cd9-b2d9-656964cd4113 + Count + Count + false + 0 + + + + + + 6319 + 3846 + 33 + 20 + + + 6337 + 3856 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + 3d00de67-1b84-4a16-9ee5-ac49623b276f + List Length + List Length + + + + + + 6240 + 3719 + 93 + 28 + + + 6279 + 3733 + + + + + + 1 + Base list + 5746fab1-5797-44af-9829-aac0c0ec9712 + List + List + false + 82c51ed9-1201-4b4d-803d-ed22294ac658 + 1 + + + + + + 6242 + 3721 + 22 + 24 + + + 6254.5 + 3733 + + + + + + + + Number of items in L + fca0255d-b895-4768-91bf-2e57e6515c4f + Length + Length + false + 0 + + + + + + 6294 + 3721 + 37 + 24 + + + 6314 + 3733 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + f6105af9-d019-412d-a4d5-869389b4cdff + List Item + List Item + + + + + + 6249 + 3556 + 74 + 64 + + + 6297 + 3588 + + + + + + 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 + 3751e7ed-b6b1-4be5-a001-3e94e45cda7b + List + List + false + 82c51ed9-1201-4b4d-803d-ed22294ac658 + 1 + + + + + + 6251 + 3558 + 31 + 20 + + + 6268 + 3568 + + + + + + + + Item index + d54ae681-7e18-4f84-a965-bf39d933c8fa + Index + Index + false + 24afe3e0-ddd1-4aca-9821-29f7e68efeeb + 1 + + + + + + 6251 + 3578 + 31 + 20 + + + 6268 + 3588 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 2dc4634d-527d-4e9b-b251-f7156d459cb6 + Wrap + Wrap + false + 0 + + + + + + 6251 + 3598 + 31 + 20 + + + 6268 + 3608 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 53927bc6-933c-4dbf-9a1e-baa2e57b2529 + false + Item + i + false + 0 + + + + + + 6312 + 3558 + 9 + 60 + + + 6318 + 3588 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + aa254562-60f6-4c89-a9d1-4877b22d0965 + Series + Series + + + + + + 6228 + 3638 + 117 + 64 + + + 6294 + 3670 + + + + + + First number in the series + 882e878f-6f73-4811-9ea2-c291d4745163 + Start + Start + false + 0 + + + + + + 6230 + 3640 + 49 + 20 + + + 6264 + 3650 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + f02fc18e-eede-42ce-9c1a-93ad6e9edc16 + Step + Step + false + 0 + + + + + + 6230 + 3660 + 49 + 20 + + + 6264 + 3670 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + a3af8467-5f46-4821-995e-9ec100fe5ddf + X-1 + Count + Count + false + fca0255d-b895-4768-91bf-2e57e6515c4f + 1 + + + + + + 6230 + 3680 + 49 + 20 + + + 6264 + 3690 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 24afe3e0-ddd1-4aca-9821-29f7e68efeeb + Series + Series + false + 0 + + + + + + 6309 + 3640 + 34 + 60 + + + 6327.5 + 3670 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 561c9228-a8c7-4f00-aef1-86f36b7ee383 + Relay + + false + 81598716-14eb-41f3-bc1c-588c7c0dafb9 + 1 + + + + + + 6266 + 3887 + 40 + 16 + + + 6286 + 3895 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e286d01e-ac40-479b-9506-fea4034f1b81 + Relay + + false + 53927bc6-933c-4dbf-9a1e-baa2e57b2529 + 1 + + + + + + 6266 + 3523 + 40 + 16 + + + 6286 + 3531 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + edfbaf71-ae8b-4a14-ba3d-8ffe64b466be + e7334885-e509-483f-84d0-4a94b25496cd + 3d00de67-1b84-4a16-9ee5-ac49623b276f + f6105af9-d019-412d-a4d5-869389b4cdff + aa254562-60f6-4c89-a9d1-4877b22d0965 + 561c9228-a8c7-4f00-aef1-86f36b7ee383 + e286d01e-ac40-479b-9506-fea4034f1b81 + 7 + 52750a6f-5ea3-4565-adf8-d4b9e638e651 + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + 411d90fa-8cc1-4cb8-bd27-6b8dc7a06aa1 + Curve Closest Point + Curve Closest Point + + + + + + 6226 + 4023 + 120 + 64 + + + 6276 + 4055 + + + + + + Point to project onto curve + 94cae40d-ede7-4362-b6b4-4be151476588 + Point + Point + false + 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af + 1 + + + + + + 6228 + 4025 + 33 + 30 + + + 6246 + 4040 + + + + + + + + Curve to project onto + 2e070c86-8ba5-44ed-a436-8539eae0e532 + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + 4055 + 33 + 30 + + + 6246 + 4070 + + + + + + + + Point on the curve closest to the base point + 15875976-eb3b-4668-9fa4-ce949f2740e4 + Point + Point + false + 0 + + + + + + 6291 + 4025 + 53 + 20 + + + 6319 + 4035 + + + + + + + + Parameter on curve domain of closest point + 3665b055-5d51-4bea-a9f3-85b86a5bcd21 + Parameter + Parameter + false + 0 + + + + + + 6291 + 4045 + 53 + 20 + + + 6319 + 4055 + + + + + + + + Distance between base point and curve + bd207343-2189-4097-babb-c50072c89469 + Distance + Distance + false + 0 + + + + + + 6291 + 4065 + 53 + 20 + + + 6319 + 4075 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + c94ffcf9-b23b-46c2-811d-31aaa5f5a344 + Line + Line + + + + + + 6229 + 3944 + 114 + 44 + + + 6301 + 3966 + + + + + + Line start point + d30f409a-e6a4-417a-992a-810e2b3d1e78 + Start Point + Start Point + false + 15875976-eb3b-4668-9fa4-ce949f2740e4 + 1 + + + + + + 6231 + 3946 + 55 + 20 + + + 6260 + 3956 + + + + + + + + Line end point + d2c943cc-1a31-452c-b2f0-f76a521cefed + End Point + End Point + false + 9eb75c6a-0bd7-4d0d-852d-c2eb12ef11af + 1 + + + + + + 6231 + 3966 + 55 + 20 + + + 6260 + 3976 + + + + + + + + Line segment + 974f6703-6679-4d74-a08a-0db9438145fc + Line + Line + false + 0 + + + + + + 6316 + 3946 + 25 + 40 + + + 6330 + 3966 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + a2ce29db-0bb4-45cc-b847-4fc1ab58da24 + Remap Numbers + Remap Numbers + + + + + + 6229 + 2780 + 115 + 64 + + + 6284 + 2812 + + + + + + Value to remap + c4a4fee2-01ef-4d38-8ef2-aea231158b44 + Value + Value + false + c973b3e6-f6c6-403b-9b41-2df880c866c5 + 1 + + + + + + 6231 + 2782 + 38 + 20 + + + 6251.5 + 2792 + + + + + + + + Source domain + 276670b6-82ea-4199-be09-ad6e0cb66df4 + Source + Source + false + 63e83512-d5e4-4958-92ec-4e0a868bf0bc + 1 + + + + + + 6231 + 2802 + 38 + 20 + + + 6251.5 + 2812 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + bcfbce6c-21f0-42e5-8109-7f478a0a0f1c + Target + Target + false + 0 + + + + + + 6231 + 2822 + 38 + 20 + + + 6251.5 + 2832 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 393a4076-c4dc-42cb-89bb-2674ed014865 + Mapped + Mapped + false + 0 + + + + + + 6299 + 2782 + 43 + 30 + + + 6322 + 2797 + + + + + + + + Remapped and clipped number + ee5d4373-6d10-43d1-82f4-2f1cdd69cb43 + Clipped + Clipped + false + 0 + + + + + + 6299 + 2812 + 43 + 30 + + + 6322 + 2827 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + d8bc2abf-e181-4e18-a4c1-a10c87fa5684 + Bounds + Bounds + + + + + + 6225 + 2862 + 122 + 28 + + + 6289 + 2876 + + + + + + 1 + Numbers to include in Bounds + e0eb1bfd-07ff-4936-9dde-cee85eef82ba + Numbers + Numbers + false + c973b3e6-f6c6-403b-9b41-2df880c866c5 + 1 + + + + + + 6227 + 2864 + 47 + 24 + + + 6252 + 2876 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 63e83512-d5e4-4958-92ec-4e0a868bf0bc + Domain + Domain + false + 0 + + + + + + 6304 + 2864 + 41 + 24 + + + 6326 + 2876 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c973b3e6-f6c6-403b-9b41-2df880c866c5 + Relay + + false + e286d01e-ac40-479b-9506-fea4034f1b81 + 1 + + + + + + 6266 + 2909 + 40 + 16 + + + 6286 + 2917 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + d94e12f5-f115-49e1-888d-d295271d3c2c + Multiplication + Multiplication + + + + + + 6245 + 2581 + 82 + 44 + + + 6276 + 2603 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + e251f033-2ca4-474f-bea5-bf59a084f4ec + A + A + true + c4b476dc-0b56-4320-8d67-d3dd9e1d4864 + 1 + + + + + + 6247 + 2583 + 14 + 20 + + + 6255.5 + 2593 + + + + + + + + Second item for multiplication + 6a446beb-d13c-4e63-9fdf-ff852ab16bd5 + B + B + true + 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a + 1 + + + + + + 6247 + 2603 + 14 + 20 + + + 6255.5 + 2613 + + + + + + + + Result of multiplication + 1e2f2e7b-1c43-46d7-8188-931698467786 + Result + Result + false + 0 + + + + + + 6291 + 2583 + 34 + 40 + + + 6309.5 + 2603 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 687fd906-a476-4bc8-aa83-54c5f9def255 + Multiplication + Multiplication + + + + + + 6245 + 2688 + 82 + 44 + + + 6276 + 2710 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 75dcd440-5306-4a4d-b51b-2f622b7c8452 + A + A + true + 4c1818fc-287e-4806-9c3b-c20208f55d9b + 1 + + + + + + 6247 + 2690 + 14 + 20 + + + 6255.5 + 2700 + + + + + + + + Second item for multiplication + 4816bc9f-75d9-4864-ac54-eb866a9f5d39 + B + B + true + 393a4076-c4dc-42cb-89bb-2674ed014865 + 1 + + + + + + 6247 + 2710 + 14 + 20 + + + 6255.5 + 2720 + + + + + + + + Result of multiplication + c4b476dc-0b56-4320-8d67-d3dd9e1d4864 + Result + Result + false + 0 + + + + + + 6291 + 2690 + 34 + 40 + + + 6309.5 + 2710 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 4c1818fc-287e-4806-9c3b-c20208f55d9b + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + 2753 + 40 + 16 + + + 6286 + 2761 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.03125000000 + + + + + + 6162 + 2659 + 250 + 20 + + + 6162.444 + 2659.319 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a2ce29db-0bb4-45cc-b847-4fc1ab58da24 + d8bc2abf-e181-4e18-a4c1-a10c87fa5684 + c973b3e6-f6c6-403b-9b41-2df880c866c5 + d94e12f5-f115-49e1-888d-d295271d3c2c + 687fd906-a476-4bc8-aa83-54c5f9def255 + 4c1818fc-287e-4806-9c3b-c20208f55d9b + 82de2fbc-f4bc-485c-aa6d-7f6e55b0fe9a + 7 + 22ecfb22-3828-4f14-bd18-9adf65ea9752 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d16b55bb-51fe-4ac6-8df8-106c39c9f1b3 + 55f1c7e0-6646-4cc8-8195-3ff0bc546430 + 411d90fa-8cc1-4cb8-bd27-6b8dc7a06aa1 + c94ffcf9-b23b-46c2-811d-31aaa5f5a344 + 4 + 3213337e-1bae-46fd-830e-f94604f5e33d + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5d8a3032-ae52-4a32-8a92-6efd0477944f + true + Expression + Expression + + + + + + 6189 + 3423 + 194 + 28 + + + 6289 + 3437 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7fe5d468-3548-467f-b64d-7b8f78bb446f + true + Variable O + O + true + 92440245-235b-43bd-ab87-42b94200e662 + 1 + + + + + + 6191 + 3425 + 14 + 24 + + + 6199.5 + 3437 + + + + + + + + Result of expression + 9852dc17-9fea-41e6-8d73-f891e530b498 + true + Result + + false + 0 + + + + + + 6372 + 3425 + 9 + 24 + + + 6378 + 3437 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 96ce86c7-f8da-4702-898f-eea30eb72e9d + Panel + + false + 1 + 9852dc17-9fea-41e6-8d73-f891e530b498 + 1 + Double click to edit panel content… + + + + + + 6194 + 3141 + 185 + 271 + + 0 + 0 + 0 + + 6194.779 + 3141.712 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a11ce8ed-74c0-4462-93d2-6a1c956c94db + Relay + + false + 96ce86c7-f8da-4702-898f-eea30eb72e9d + 1 + + + + + + 6266 + 3114 + 40 + 16 + + + 6286 + 3122 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 92440245-235b-43bd-ab87-42b94200e662 + Relay + + false + e286d01e-ac40-479b-9506-fea4034f1b81 + 1 + + + + + + 6266 + 3470 + 40 + 16 + + + 6286 + 3478 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5d8a3032-ae52-4a32-8a92-6efd0477944f + 96ce86c7-f8da-4702-898f-eea30eb72e9d + a11ce8ed-74c0-4462-93d2-6a1c956c94db + 92440245-235b-43bd-ab87-42b94200e662 + 4 + 158caa93-9474-4146-9b50-bbbca76f9569 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 0a6bd2fe-814c-4596-a71e-03c86ba67ae1 + Create Material + Create Material + + + + + + 6214 + 2352 + 144 + 104 + + + 6298 + 2404 + + + + + + Colour of the diffuse channel + e3117c2b-02d4-4db1-8dc3-14713b66c58a + Diffuse + Diffuse + false + 0 + + + + + + 6216 + 2354 + 67 + 20 + + + 6251 + 2364 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;240;240;240 + + + + + + + + + + + + Colour of the specular highlight + 227bc0a1-8213-4c09-8971-1b1e4d03ef91 + Specular + Specular + false + 0 + + + + + + 6216 + 2374 + 67 + 20 + + + 6251 + 2384 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 66b7dc5c-6cfb-4516-8688-29d1a3cbb124 + Emission + Emission + false + 0 + + + + + + 6216 + 2394 + 67 + 20 + + + 6251 + 2404 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 3c1785fd-2c58-476e-a610-81b1116a483c + Transparency + Transparency + false + 0 + + + + + + 6216 + 2414 + 67 + 20 + + + 6251 + 2424 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + d2cb061a-05e4-445f-83e8-4cc9b0096569 + Shine + Shine + false + 0 + + + + + + 6216 + 2434 + 67 + 20 + + + 6251 + 2444 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 88573c0d-945d-4139-b027-8c1f1cfbad6d + Material + Material + false + 0 + + + + + + 6313 + 2354 + 43 + 100 + + + 6336 + 2404 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 7cbb25b0-6e3a-46b7-a8a4-d0d154f0b149 + Custom Preview + Custom Preview + + + + + + + 6245 + 2281 + 82 + 44 + + + 6313 + 2303 + + + + + + Geometry to preview + true + a3e01f31-b441-4a92-9372-76e3952a94fb + Geometry + Geometry + false + cc9df7f8-c2be-44d9-817d-a344480c9ecf + 1 + + + + + + 6247 + 2283 + 51 + 20 + + + 6274 + 2293 + + + + + + + + The material override + 132fef4b-3cbe-4ebf-8bfd-244135e151da + Material + Material + false + 88573c0d-945d-4139-b027-8c1f1cfbad6d + 1 + + + + + + 6247 + 2303 + 51 + 20 + + + 6274 + 2313 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 9d26cb73-611a-4665-9b67-857be2acbffc + Evaluate Length + Evaluate Length + + + + + + 6214 + 2193 + 144 + 64 + + + 6288 + 2225 + + + + + + Curve to evaluate + 974f8a91-e4dd-4fb5-986c-bdaa1d5b16fc + Curve + Curve + false + cc9df7f8-c2be-44d9-817d-a344480c9ecf + 1 + + + + + + 6216 + 2195 + 57 + 20 + + + 6246 + 2205 + + + + + + + + Length factor for curve evaluation + e4539db6-6711-41c9-9850-0948613c473d + Length + Length + false + 0 + + + + + + 6216 + 2215 + 57 + 20 + + + 6246 + 2225 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 1711c08f-4893-4513-9087-3444ebc5b077 + Normalized + Normalized + false + 0 + + + + + + 6216 + 2235 + 57 + 20 + + + 6246 + 2245 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + ff449f98-89aa-4375-8f9f-196d58fdfe6c + Point + Point + false + 0 + + + + + + 6303 + 2195 + 53 + 20 + + + 6331 + 2205 + + + + + + + + Tangent vector at the specified length + 359e9fb2-ed1d-449e-a205-fb08bbd1dcb3 + Tangent + Tangent + false + 0 + + + + + + 6303 + 2215 + 53 + 20 + + + 6331 + 2225 + + + + + + + + Curve parameter at the specified length + b4a57eda-fdfd-46af-95c5-49bfa4219218 + Parameter + Parameter + false + 0 + + + + + + 6303 + 2235 + 53 + 20 + + + 6331 + 2245 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + 1580bda1-2c1c-442f-93be-e3805e9c820a + Interpolate + Interpolate + + + + + + 6224 + 2088 + 125 + 84 + + + 6291 + 2130 + + + + + + 1 + Interpolation points + 0cd32b38-56b5-4c19-a7a0-c2d7565727d1 + Vertices + Vertices + false + ff449f98-89aa-4375-8f9f-196d58fdfe6c + 1 + + + + + + 6226 + 2090 + 50 + 20 + + + 6252.5 + 2100 + + + + + + + + Curve degree + a1ce23ae-bd33-49d0-940d-906d6ea05f73 + Degree + Degree + false + 0 + + + + + + 6226 + 2110 + 50 + 20 + + + 6252.5 + 2120 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + b397561b-e36b-4cf4-9dd5-d79ed9bfc484 + Periodic + Periodic + false + 0 + + + + + + 6226 + 2130 + 50 + 20 + + + 6252.5 + 2140 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 569404dc-206c-4d9e-8620-187789ee8e9d + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + 2150 + 50 + 20 + + + 6252.5 + 2160 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + e67b2c1f-9492-474f-abbf-c0be8e311c9c + Curve + Curve + false + 0 + + + + + + 6306 + 2090 + 41 + 26 + + + 6328 + 2103.333 + + + + + + + + Curve length + ca324745-08d5-4cfc-9d41-32bf9def153a + Length + Length + false + 0 + + + + + + 6306 + 2116 + 41 + 27 + + + 6328 + 2130 + + + + + + + + Curve domain + 3ff1ade3-ad17-4559-ac2a-eceb380cd230 + Domain + Domain + false + 0 + + + + + + 6306 + 2143 + 41 + 27 + + + 6328 + 2156.667 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + a3b8c156-186c-41a3-8e18-451de09912e5 + Create Material + Create Material + + + + + + 6214 + 1961 + 144 + 104 + + + 6298 + 2013 + + + + + + Colour of the diffuse channel + 841d5707-73d2-40c4-bb00-e2433c7517c3 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + 1963 + 67 + 20 + + + 6251 + 1973 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;214;214;214 + + + + + + + + + + + + Colour of the specular highlight + d9b1d30f-5104-457f-8df8-2f11c3f0165a + Specular + Specular + false + 0 + + + + + + 6216 + 1983 + 67 + 20 + + + 6251 + 1993 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 7bebb136-06cb-4afe-b269-f7450f8ef049 + Emission + Emission + false + 0 + + + + + + 6216 + 2003 + 67 + 20 + + + 6251 + 2013 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 5baf6d22-6e94-40d9-97cf-80fed2b426cf + Transparency + Transparency + false + 0 + + + + + + 6216 + 2023 + 67 + 20 + + + 6251 + 2033 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 8326a82b-c83d-4ae4-b106-c54cdf314e4e + Shine + Shine + false + 0 + + + + + + 6216 + 2043 + 67 + 20 + + + 6251 + 2053 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 09ac8260-4e80-41f3-a250-b7e44519bc3c + Material + Material + false + 0 + + + + + + 6313 + 1963 + 43 + 100 + + + 6336 + 2013 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + d10e7f8a-b9bf-4107-9863-64eafdf1af76 + Custom Preview + Custom Preview + + + + + + + 6245 + 1895 + 82 + 44 + + + 6313 + 1917 + + + + + + Geometry to preview + true + add8d499-44d6-4254-9b11-99e07cf31bd9 + Geometry + Geometry + false + e67b2c1f-9492-474f-abbf-c0be8e311c9c + 1 + + + + + + 6247 + 1897 + 51 + 20 + + + 6274 + 1907 + + + + + + + + The material override + c7d766c6-a736-457e-8787-c28afe62403e + Material + Material + false + 09ac8260-4e80-41f3-a250-b7e44519bc3c + 1 + + + + + + 6247 + 1917 + 51 + 20 + + + 6274 + 1927 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 60b332bf-2cf3-433f-b445-51fdd375691d + Quick Graph + Quick Graph + false + 0 + 92440245-235b-43bd-ab87-42b94200e662 + 1 + + + + + + 6211 + 2945 + 150 + 150 + + + 6211.599 + 2945.189 + + -1 + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c2173391-9a8e-4e7a-97d2-9bceb33b1ecc + 4e11aadd-afad-41bf-a564-a86a17687335 + 4ae4df24-2f99-4795-8f63-155b366c00fe + f3c8e720-ce95-4e38-8e06-e693b8c356ab + 5a7cd726-3ae9-490f-9b45-17de9dd90264 + 67584921-233c-426e-b5f5-c1072eede078 + 8bb00c53-94be-4d79-b85c-d34c42cc44d7 + d04b43ca-ddb0-48a3-8353-aad50bf2c946 + 2e6f7300-ee3c-41f7-bb25-0bbab17d479a + 3594fd66-0803-4631-b1d4-89f40175b866 + cd58ea0d-696d-4ca1-88b6-69bc7d529723 + 4a450fdf-eb05-4862-b1a1-33386eb3b2f6 + 207075b0-9c45-4890-8bdf-7e9e10451f89 + f7e09984-3f7e-4410-a289-e424bfef65a1 + 47edebd9-99ae-4881-889e-0273bbc87baa + 084ee3ba-1284-44be-843a-bf69fc327457 + db13282f-4f15-4468-9784-26e12e8cb369 + d22a5bfb-b449-4055-9266-410dcf2812a4 + 8459cedb-46a1-47f4-abe0-7a20e0b7de1d + 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 + 2584af31-71b2-49b6-b8d4-e39012a2b370 + 47215bb4-c3a1-4c06-a708-ab9ccc9bc93b + 5b6c43df-6ef8-4b5f-a8b0-464f2953ec75 + 051a36ca-c911-447f-8b81-56c109603b02 + a5fea8ae-53d8-48d9-851d-766779474d7a + f0ed32f0-5152-4537-9c8b-8b0eed294fd7 + b337f3fb-b583-4fc2-9ba1-99620dd5c75a + a5ea89e1-cc51-4d56-aea2-9f8020fe5d12 + 0056d09c-222d-4e4f-aebc-da7f78cbc3e6 + 0c239a2f-823c-4fed-8dc4-844394ac04b5 + e43e9ff8-cd09-4fd9-b2b5-e6ae50fb83e1 + ca0133a0-7770-4048-b6c9-d239378f8111 + e425cbf1-2c09-4fc3-b486-81761fb299dd + 1689c519-5a1c-4dfe-8ff2-2dfde171ab35 + 34 + 95e30d3c-82ad-4de3-90fc-807db65cd5b8 + Group + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + c2173391-9a8e-4e7a-97d2-9bceb33b1ecc + Explode + Explode + + + + + + 6218 + 1570 + 136 + 44 + + + 6285 + 1592 + + + + + + Curve to explode + b8a263f2-ac78-4ba9-94fd-49acc35446e5 + Curve + Curve + false + e67b2c1f-9492-474f-abbf-c0be8e311c9c + 1 + + + + + + 6220 + 1572 + 50 + 20 + + + 6246.5 + 1582 + + + + + + + + Recursive decomposition until all segments are atomic + 046587df-01ff-4a02-be3f-9e410a045cf2 + Recursive + Recursive + false + 0 + + + + + + 6220 + 1592 + 50 + 20 + + + 6246.5 + 1602 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + 13acc0c1-8862-42e5-9c5d-27422abfe6d2 + Segments + Segments + false + 0 + + + + + + 6300 + 1572 + 52 + 20 + + + 6327.5 + 1582 + + + + + + + + 1 + Vertices of the exploded segments + e00f5a8f-4075-4204-a559-7e82cda94fb0 + Vertices + Vertices + false + 0 + + + + + + 6300 + 1592 + 52 + 20 + + + 6327.5 + 1602 + + + + + + + + + + + + 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 + 4e11aadd-afad-41bf-a564-a86a17687335 + Evaluate Length + Evaluate Length + + + + + + 6214 + 1487 + 144 + 64 + + + 6288 + 1519 + + + + + + Curve to evaluate + 9e848bb4-9abe-40e0-9f8a-d51625a16bb4 + Curve + Curve + false + 13acc0c1-8862-42e5-9c5d-27422abfe6d2 + 1 + + + + + + 6216 + 1489 + 57 + 20 + + + 6246 + 1499 + + + + + + + + Length factor for curve evaluation + 0b5d8eaf-59a8-405c-975d-76cb1d6a6462 + Length + Length + false + 0 + + + + + + 6216 + 1509 + 57 + 20 + + + 6246 + 1519 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 0e499650-8eca-4c73-b2b4-90659c50f11a + Normalized + Normalized + false + 0 + + + + + + 6216 + 1529 + 57 + 20 + + + 6246 + 1539 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 9eba1d64-e6a4-4aad-bb33-cdc83e71516b + Point + Point + false + 0 + + + + + + 6303 + 1489 + 53 + 20 + + + 6331 + 1499 + + + + + + + + Tangent vector at the specified length + e68c0039-19aa-4daa-8eb4-6eb6227e51ee + Tangent + Tangent + false + 0 + + + + + + 6303 + 1509 + 53 + 20 + + + 6331 + 1519 + + + + + + + + Curve parameter at the specified length + 8567c19f-2b1d-4b40-b7da-b8ad1f253316 + Parameter + Parameter + false + 0 + + + + + + 6303 + 1529 + 53 + 20 + + + 6331 + 1539 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + 4ae4df24-2f99-4795-8f63-155b366c00fe + Line SDL + Line SDL + + + + + + 6225 + -146 + 122 + 64 + + + 6305 + -114 + + + + + + Line start point + 64d9d1a0-769a-402c-a75c-cbb68cb3f200 + Start + Start + false + 9eba1d64-e6a4-4aad-bb33-cdc83e71516b + 1 + + + + + + 6227 + -144 + 63 + 20 + + + 6268 + -134 + + + + + + + + Line tangent (direction) + 1895588b-bb25-4870-a2b2-47b0edaebbe4 + Direction + Direction + false + a23e2cf3-ea06-4964-92cc-f11fbbbabb57 + 1 + + + + + + 6227 + -124 + 63 + 20 + + + 6268 + -114 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 6cd6b1b5-375b-42ba-a879-6599a465f1a0 + ABS(X) + Length + Length + false + b7b76c82-d159-4ec4-b9e8-11d7e956ec88 + 1 + + + + + + 6227 + -104 + 63 + 20 + + + 6268 + -94 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + 851bb5f0-6f19-41b7-8d26-02595561c63b + Line + Line + false + 0 + + + + + + 6320 + -144 + 25 + 60 + + + 6334 + -114 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + f3c8e720-ce95-4e38-8e06-e693b8c356ab + Relative Differences + Relative Differences + + + + + + 6222 + 1144 + 128 + 28 + + + 6275 + 1158 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + e892cede-5cd0-4a0a-be76-956d07883921 + Values + Values + false + 1ba010cb-f3ae-465e-a185-7beb532c67d5 + 1 + + + + + + 6224 + 1146 + 36 + 24 + + + 6243.5 + 1158 + + + + + + + + 1 + Differences between consecutive items + 358a17cb-2a34-4aa5-88e6-af6089a12c5d + Differenced + Differenced + false + 0 + + + + + + 6290 + 1146 + 58 + 24 + + + 6320.5 + 1158 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 5a7cd726-3ae9-490f-9b45-17de9dd90264 + Replace Nulls + Replace Nulls + + + + + + 6218 + 1200 + 136 + 44 + + + 6304 + 1222 + + + + + + 1 + Items to test for null + 22056a4b-bc2e-44ad-9cf6-3b8552023239 + Items + Items + false + 2e6f7300-ee3c-41f7-bb25-0bbab17d479a + 1 + + + + + + 6220 + 1202 + 69 + 20 + + + 6256 + 1212 + + + + + + + + 1 + Items to replace nulls with + e10fbf55-7ba6-42db-9a0a-8e942a610221 + Replacements + Replacements + false + 0 + + + + + + 6220 + 1222 + 69 + 20 + + + 6256 + 1232 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 1ba010cb-f3ae-465e-a185-7beb532c67d5 + Items + Items + false + 0 + + + + + + 6319 + 1202 + 33 + 20 + + + 6337 + 1212 + + + + + + + + Number of items replaced + 84ab773d-e62a-40b9-ae9d-f2955d9761b8 + Count + Count + false + 0 + + + + + + 6319 + 1222 + 33 + 20 + + + 6337 + 1232 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + 67584921-233c-426e-b5f5-c1072eede078 + List Length + List Length + + + + + + 6240 + 1095 + 93 + 28 + + + 6279 + 1109 + + + + + + 1 + Base list + 7eb5ace3-fe77-4163-af40-5831d9a46068 + List + List + false + 358a17cb-2a34-4aa5-88e6-af6089a12c5d + 1 + + + + + + 6242 + 1097 + 22 + 24 + + + 6254.5 + 1109 + + + + + + + + Number of items in L + ae7fd885-2822-476b-bcc9-49d4d24b66d0 + Length + Length + false + 0 + + + + + + 6294 + 1097 + 37 + 24 + + + 6314 + 1109 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + 8bb00c53-94be-4d79-b85c-d34c42cc44d7 + List Item + List Item + + + + + + 6249 + 932 + 74 + 64 + + + 6297 + 964 + + + + + + 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 + 4efce395-835f-4efb-9d55-38735d853847 + List + List + false + 358a17cb-2a34-4aa5-88e6-af6089a12c5d + 1 + + + + + + 6251 + 934 + 31 + 20 + + + 6268 + 944 + + + + + + + + Item index + e8cd058f-c6f6-4994-a14b-e6e50c4e0fa9 + Index + Index + false + 38dd3c19-c8d9-44d6-8d22-145fdcfcce61 + 1 + + + + + + 6251 + 954 + 31 + 20 + + + 6268 + 964 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + cde42760-a556-4869-bea1-10f8b8e13cca + Wrap + Wrap + false + 0 + + + + + + 6251 + 974 + 31 + 20 + + + 6268 + 984 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 94fd9c57-9006-4d3d-b5e6-e483b14c6cae + false + Item + i + false + 0 + + + + + + 6312 + 934 + 9 + 60 + + + 6318 + 964 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + d04b43ca-ddb0-48a3-8353-aad50bf2c946 + Series + Series + + + + + + 6228 + 1014 + 117 + 64 + + + 6294 + 1046 + + + + + + First number in the series + c70f4476-edbb-4f75-94b0-c9284ed97ca0 + Start + Start + false + 0 + + + + + + 6230 + 1016 + 49 + 20 + + + 6264 + 1026 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + 2e383cf4-b7be-4b82-a9c8-e979e4a7b273 + Step + Step + false + 0 + + + + + + 6230 + 1036 + 49 + 20 + + + 6264 + 1046 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + d78de03c-bc95-4101-9a3f-60ce0930be8b + X-1 + Count + Count + false + ae7fd885-2822-476b-bcc9-49d4d24b66d0 + 1 + + + + + + 6230 + 1056 + 49 + 20 + + + 6264 + 1066 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 38dd3c19-c8d9-44d6-8d22-145fdcfcce61 + Series + Series + false + 0 + + + + + + 6309 + 1016 + 34 + 60 + + + 6327.5 + 1046 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2e6f7300-ee3c-41f7-bb25-0bbab17d479a + Relay + + false + e286d01e-ac40-479b-9506-fea4034f1b81 + 1 + + + + + + 6266 + 1263 + 40 + 16 + + + 6286 + 1271 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3594fd66-0803-4631-b1d4-89f40175b866 + Relay + + false + 94fd9c57-9006-4d3d-b5e6-e483b14c6cae + 1 + + + + + + 6266 + 899 + 40 + 16 + + + 6286 + 907 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f3c8e720-ce95-4e38-8e06-e693b8c356ab + 5a7cd726-3ae9-490f-9b45-17de9dd90264 + 67584921-233c-426e-b5f5-c1072eede078 + 8bb00c53-94be-4d79-b85c-d34c42cc44d7 + d04b43ca-ddb0-48a3-8353-aad50bf2c946 + 2e6f7300-ee3c-41f7-bb25-0bbab17d479a + 3594fd66-0803-4631-b1d4-89f40175b866 + 7 + cd58ea0d-696d-4ca1-88b6-69bc7d529723 + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + 4a450fdf-eb05-4862-b1a1-33386eb3b2f6 + Curve Closest Point + Curve Closest Point + + + + + + 6226 + 1399 + 120 + 64 + + + 6276 + 1431 + + + + + + Point to project onto curve + ee7e76ad-39f7-4e59-863c-9fb2822ac272 + Point + Point + false + 9eba1d64-e6a4-4aad-bb33-cdc83e71516b + 1 + + + + + + 6228 + 1401 + 33 + 30 + + + 6246 + 1416 + + + + + + + + Curve to project onto + be18689b-7792-40ce-8c99-d96f24ee991c + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + 1431 + 33 + 30 + + + 6246 + 1446 + + + + + + + + Point on the curve closest to the base point + a47298b8-ebe1-4614-9039-c3d8f832d608 + Point + Point + false + 0 + + + + + + 6291 + 1401 + 53 + 20 + + + 6319 + 1411 + + + + + + + + Parameter on curve domain of closest point + 7f60179f-a1fa-4cbf-8be7-8facf248d06d + Parameter + Parameter + false + 0 + + + + + + 6291 + 1421 + 53 + 20 + + + 6319 + 1431 + + + + + + + + Distance between base point and curve + c5f6ba4a-034a-4917-9fec-7a66d09c4405 + Distance + Distance + false + 0 + + + + + + 6291 + 1441 + 53 + 20 + + + 6319 + 1451 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + 207075b0-9c45-4890-8bdf-7e9e10451f89 + Line + Line + + + + + + 6229 + 1320 + 114 + 44 + + + 6301 + 1342 + + + + + + Line start point + 4423b7fe-4f16-4951-8a55-247ec82aa0f8 + Start Point + Start Point + false + a47298b8-ebe1-4614-9039-c3d8f832d608 + 1 + + + + + + 6231 + 1322 + 55 + 20 + + + 6260 + 1332 + + + + + + + + Line end point + 35fd51bf-3b55-41ce-ae8c-f4cbb4540e78 + End Point + End Point + false + 9eba1d64-e6a4-4aad-bb33-cdc83e71516b + 1 + + + + + + 6231 + 1342 + 55 + 20 + + + 6260 + 1352 + + + + + + + + Line segment + a23e2cf3-ea06-4964-92cc-f11fbbbabb57 + Line + Line + false + 0 + + + + + + 6316 + 1322 + 25 + 40 + + + 6330 + 1342 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + f7e09984-3f7e-4410-a289-e424bfef65a1 + Remap Numbers + Remap Numbers + + + + + + 6229 + 156 + 115 + 64 + + + 6284 + 188 + + + + + + Value to remap + 4bad90a2-e44c-4931-b7fd-b0d208b65846 + Value + Value + false + 084ee3ba-1284-44be-843a-bf69fc327457 + 1 + + + + + + 6231 + 158 + 38 + 20 + + + 6251.5 + 168 + + + + + + + + Source domain + 62d345b8-2a9f-418b-af0b-e6ba6f57fcd9 + Source + Source + false + 5a889dfb-bbf2-4802-b561-48450aea370f + 1 + + + + + + 6231 + 178 + 38 + 20 + + + 6251.5 + 188 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + fd829a41-9182-43d0-9f50-3be3e951920c + Target + Target + false + 0 + + + + + + 6231 + 198 + 38 + 20 + + + 6251.5 + 208 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 40797dcf-e023-4404-853a-0b08bc840607 + Mapped + Mapped + false + 0 + + + + + + 6299 + 158 + 43 + 30 + + + 6322 + 173 + + + + + + + + Remapped and clipped number + f8adb1a9-894a-4ad1-a8ce-6bd2fb97b1ac + Clipped + Clipped + false + 0 + + + + + + 6299 + 188 + 43 + 30 + + + 6322 + 203 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 47edebd9-99ae-4881-889e-0273bbc87baa + Bounds + Bounds + + + + + + 6225 + 238 + 122 + 28 + + + 6289 + 252 + + + + + + 1 + Numbers to include in Bounds + 78728100-b298-4174-8052-e2e24c92007f + Numbers + Numbers + false + 084ee3ba-1284-44be-843a-bf69fc327457 + 1 + + + + + + 6227 + 240 + 47 + 24 + + + 6252 + 252 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 5a889dfb-bbf2-4802-b561-48450aea370f + Domain + Domain + false + 0 + + + + + + 6304 + 240 + 41 + 24 + + + 6326 + 252 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 084ee3ba-1284-44be-843a-bf69fc327457 + Relay + + false + 3594fd66-0803-4631-b1d4-89f40175b866 + 1 + + + + + + 6266 + 285 + 40 + 16 + + + 6286 + 293 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + db13282f-4f15-4468-9784-26e12e8cb369 + Multiplication + Multiplication + + + + + + 6245 + -43 + 82 + 44 + + + 6276 + -21 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + af282b3f-c85f-43eb-9a93-609b72e97763 + A + A + true + 4f568e41-4545-485e-adea-dc069a342f57 + 1 + + + + + + 6247 + -41 + 14 + 20 + + + 6255.5 + -31 + + + + + + + + Second item for multiplication + c6cfd35f-cb2e-452d-93f5-37774ca76418 + B + B + true + 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 + 1 + + + + + + 6247 + -21 + 14 + 20 + + + 6255.5 + -11 + + + + + + + + Result of multiplication + b7b76c82-d159-4ec4-b9e8-11d7e956ec88 + Result + Result + false + 0 + + + + + + 6291 + -41 + 34 + 40 + + + 6309.5 + -21 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + d22a5bfb-b449-4055-9266-410dcf2812a4 + Multiplication + Multiplication + + + + + + 6245 + 64 + 82 + 44 + + + 6276 + 86 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + d4f101d3-04e8-4356-b349-6eaf35c3384c + A + A + true + 8459cedb-46a1-47f4-abe0-7a20e0b7de1d + 1 + + + + + + 6247 + 66 + 14 + 20 + + + 6255.5 + 76 + + + + + + + + Second item for multiplication + ac87f028-a3b4-433a-b83d-ff02c11cf012 + B + B + true + 40797dcf-e023-4404-853a-0b08bc840607 + 1 + + + + + + 6247 + 86 + 14 + 20 + + + 6255.5 + 96 + + + + + + + + Result of multiplication + 4f568e41-4545-485e-adea-dc069a342f57 + Result + Result + false + 0 + + + + + + 6291 + 66 + 34 + 40 + + + 6309.5 + 86 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8459cedb-46a1-47f4-abe0-7a20e0b7de1d + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + 129 + 40 + 16 + + + 6286 + 137 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.03125000000 + + + + + + 6162 + 38 + 250 + 20 + + + 6162.073 + 38.77576 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + f7e09984-3f7e-4410-a289-e424bfef65a1 + 47edebd9-99ae-4881-889e-0273bbc87baa + 084ee3ba-1284-44be-843a-bf69fc327457 + db13282f-4f15-4468-9784-26e12e8cb369 + d22a5bfb-b449-4055-9266-410dcf2812a4 + 8459cedb-46a1-47f4-abe0-7a20e0b7de1d + 5fb8fcd9-0e13-4137-8dd8-8a0b030aee57 + 7 + 2584af31-71b2-49b6-b8d4-e39012a2b370 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c2173391-9a8e-4e7a-97d2-9bceb33b1ecc + 4e11aadd-afad-41bf-a564-a86a17687335 + 4a450fdf-eb05-4862-b1a1-33386eb3b2f6 + 207075b0-9c45-4890-8bdf-7e9e10451f89 + 4 + 47215bb4-c3a1-4c06-a708-ab9ccc9bc93b + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5b6c43df-6ef8-4b5f-a8b0-464f2953ec75 + true + Expression + Expression + + + + + + 6189 + 799 + 194 + 28 + + + 6289 + 813 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + b9dc09fe-ea9a-4c60-b906-7ee7324e9d2c + true + Variable O + O + true + f0ed32f0-5152-4537-9c8b-8b0eed294fd7 + 1 + + + + + + 6191 + 801 + 14 + 24 + + + 6199.5 + 813 + + + + + + + + Result of expression + 2eebf3eb-e0a9-41a0-baed-8ffe39e85863 + true + Result + + false + 0 + + + + + + 6372 + 801 + 9 + 24 + + + 6378 + 813 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 051a36ca-c911-447f-8b81-56c109603b02 + Panel + + false + 1 + 2eebf3eb-e0a9-41a0-baed-8ffe39e85863 + 1 + Double click to edit panel content… + + + + + + 6194 + 521 + 185 + 271 + + 0 + 0 + 0 + + 6194.408 + 521.1686 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + a5fea8ae-53d8-48d9-851d-766779474d7a + Relay + + false + 051a36ca-c911-447f-8b81-56c109603b02 + 1 + + + + + + 6266 + 490 + 40 + 16 + + + 6286 + 498 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f0ed32f0-5152-4537-9c8b-8b0eed294fd7 + Relay + + false + 3594fd66-0803-4631-b1d4-89f40175b866 + 1 + + + + + + 6266 + 846 + 40 + 16 + + + 6286 + 854 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5b6c43df-6ef8-4b5f-a8b0-464f2953ec75 + 051a36ca-c911-447f-8b81-56c109603b02 + a5fea8ae-53d8-48d9-851d-766779474d7a + f0ed32f0-5152-4537-9c8b-8b0eed294fd7 + 4 + b337f3fb-b583-4fc2-9ba1-99620dd5c75a + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + a5ea89e1-cc51-4d56-aea2-9f8020fe5d12 + Create Material + Create Material + + + + + + 6214 + -272 + 144 + 104 + + + 6298 + -220 + + + + + + Colour of the diffuse channel + d7a959dd-dc8c-4d93-955d-51c5e2ba1426 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -270 + 67 + 20 + + + 6251 + -260 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;232;232;232 + + + + + + + + + + + + Colour of the specular highlight + e73992dd-bc21-434f-8a9d-db59d8880dd0 + Specular + Specular + false + 0 + + + + + + 6216 + -250 + 67 + 20 + + + 6251 + -240 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + bb0cad7d-265f-41d1-9cac-14893cb975e9 + Emission + Emission + false + 0 + + + + + + 6216 + -230 + 67 + 20 + + + 6251 + -220 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 1cf75423-c886-4515-a495-53670c77fa73 + Transparency + Transparency + false + 0 + + + + + + 6216 + -210 + 67 + 20 + + + 6251 + -200 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 56ef0f4b-4e11-4557-9e1d-8e5ded53efdc + Shine + Shine + false + 0 + + + + + + 6216 + -190 + 67 + 20 + + + 6251 + -180 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + d7255d9e-2741-462d-bbff-d50d959faa83 + Material + Material + false + 0 + + + + + + 6313 + -270 + 43 + 100 + + + 6336 + -220 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 0056d09c-222d-4e4f-aebc-da7f78cbc3e6 + Custom Preview + Custom Preview + + + + + + + 6245 + -343 + 82 + 44 + + + 6313 + -321 + + + + + + Geometry to preview + true + 1a0f32d8-14d8-4e2f-b06a-84b77e6b3bc3 + Geometry + Geometry + false + 851bb5f0-6f19-41b7-8d26-02595561c63b + 1 + + + + + + 6247 + -341 + 51 + 20 + + + 6274 + -331 + + + + + + + + The material override + 58057c0f-1911-491e-98fe-e17449b4740f + Material + Material + false + d7255d9e-2741-462d-bbff-d50d959faa83 + 1 + + + + + + 6247 + -321 + 51 + 20 + + + 6274 + -311 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 0c239a2f-823c-4fed-8dc4-844394ac04b5 + Evaluate Length + Evaluate Length + + + + + + 6214 + -431 + 144 + 64 + + + 6288 + -399 + + + + + + Curve to evaluate + 6051dcd5-ba98-4743-8fb1-6ff4deb1960c + Curve + Curve + false + 851bb5f0-6f19-41b7-8d26-02595561c63b + 1 + + + + + + 6216 + -429 + 57 + 20 + + + 6246 + -419 + + + + + + + + Length factor for curve evaluation + 0b6d08a3-c0ac-4489-b353-af2df5b5cff0 + Length + Length + false + 0 + + + + + + 6216 + -409 + 57 + 20 + + + 6246 + -399 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + b0c40002-f901-405f-90ae-002a25052d77 + Normalized + Normalized + false + 0 + + + + + + 6216 + -389 + 57 + 20 + + + 6246 + -379 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 27c9a979-62d0-4b82-8b87-1ca7304bfc7b + Point + Point + false + 0 + + + + + + 6303 + -429 + 53 + 20 + + + 6331 + -419 + + + + + + + + Tangent vector at the specified length + 2cc1863e-23a1-485f-8371-c481068b24ef + Tangent + Tangent + false + 0 + + + + + + 6303 + -409 + 53 + 20 + + + 6331 + -399 + + + + + + + + Curve parameter at the specified length + aede08da-7f7c-4203-af12-25db6b010577 + Parameter + Parameter + false + 0 + + + + + + 6303 + -389 + 53 + 20 + + + 6331 + -379 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + e43e9ff8-cd09-4fd9-b2b5-e6ae50fb83e1 + Interpolate + Interpolate + + + + + + 6224 + -536 + 125 + 84 + + + 6291 + -494 + + + + + + 1 + Interpolation points + fceab67e-a28d-4e01-9258-0a674a88b257 + Vertices + Vertices + false + 27c9a979-62d0-4b82-8b87-1ca7304bfc7b + 1 + + + + + + 6226 + -534 + 50 + 20 + + + 6252.5 + -524 + + + + + + + + Curve degree + 45b29918-a073-42cf-b173-cf201104b2db + Degree + Degree + false + 0 + + + + + + 6226 + -514 + 50 + 20 + + + 6252.5 + -504 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 35b50d3f-731f-4b94-802a-b15f8a031129 + Periodic + Periodic + false + 0 + + + + + + 6226 + -494 + 50 + 20 + + + 6252.5 + -484 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + ff69db34-4d54-44e1-b070-3081fa93f2b3 + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + -474 + 50 + 20 + + + 6252.5 + -464 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 591c43c1-1b26-4993-8a6e-1d5ae5e4f6ca + Curve + Curve + false + 0 + + + + + + 6306 + -534 + 41 + 26 + + + 6328 + -520.6667 + + + + + + + + Curve length + 33f93ec5-4fb6-4b9b-9a52-bfb7e29afa0b + Length + Length + false + 0 + + + + + + 6306 + -508 + 41 + 27 + + + 6328 + -494 + + + + + + + + Curve domain + 85f05752-7769-466e-bf08-1053b6d5d335 + Domain + Domain + false + 0 + + + + + + 6306 + -481 + 41 + 27 + + + 6328 + -467.3333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + ca0133a0-7770-4048-b6c9-d239378f8111 + Create Material + Create Material + + + + + + 6214 + -663 + 144 + 104 + + + 6298 + -611 + + + + + + Colour of the diffuse channel + 2a915da2-ee5b-4d11-bc19-a3c8cc624c4d + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -661 + 67 + 20 + + + 6251 + -651 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;207;207;207 + + + + + + + + + + + + Colour of the specular highlight + 9ba602ad-c720-48bd-bf6e-2f6a64b29339 + Specular + Specular + false + 0 + + + + + + 6216 + -641 + 67 + 20 + + + 6251 + -631 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 74c64b53-9939-414b-a21b-27595ed8ac90 + Emission + Emission + false + 0 + + + + + + 6216 + -621 + 67 + 20 + + + 6251 + -611 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + d9bce065-464c-43dd-b9cb-c05691b7c4e2 + Transparency + Transparency + false + 0 + + + + + + 6216 + -601 + 67 + 20 + + + 6251 + -591 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 459bbebf-039a-4d6d-8ade-422d1c183ee7 + Shine + Shine + false + 0 + + + + + + 6216 + -581 + 67 + 20 + + + 6251 + -571 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + bd9984dd-4104-432e-90f2-08b1c05aa6db + Material + Material + false + 0 + + + + + + 6313 + -661 + 43 + 100 + + + 6336 + -611 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + e425cbf1-2c09-4fc3-b486-81761fb299dd + Custom Preview + Custom Preview + + + + + + + 6245 + -729 + 82 + 44 + + + 6313 + -707 + + + + + + Geometry to preview + true + a5ddc6bc-5cf2-44c9-abe2-c91fd6e51e82 + Geometry + Geometry + false + 591c43c1-1b26-4993-8a6e-1d5ae5e4f6ca + 1 + + + + + + 6247 + -727 + 51 + 20 + + + 6274 + -717 + + + + + + + + The material override + 6703fb2d-788e-4d57-b8e5-8a3523519348 + Material + Material + false + bd9984dd-4104-432e-90f2-08b1c05aa6db + 1 + + + + + + 6247 + -707 + 51 + 20 + + + 6274 + -697 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 1689c519-5a1c-4dfe-8ff2-2dfde171ab35 + Quick Graph + Quick Graph + false + 0 + f0ed32f0-5152-4537-9c8b-8b0eed294fd7 + 1 + + + + + + 6212 + 324 + 150 + 150 + + + 6212.228 + 324.6456 + + -1 + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 99f4ebd5-042d-43e6-bfed-05074051684a + 3034a781-671d-4a5e-aa58-73181cba0888 + 8f284709-650a-41c6-aa40-ca64761a5e3d + 5172507a-b39d-4c9e-a3d7-b8d4aa54e142 + 106003f9-4eff-4d79-8a51-efb10775bda4 + 48c4ee3a-2b00-48a0-88da-e1b169cb3787 + 4d7a9d1f-da6b-40e0-89e8-4e5f8ad2e110 + 2ad88e08-8f66-42be-89a3-61ac83f5bfda + 30dab452-a43e-44ee-8ccb-3f85c830c828 + 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 + eb9aa334-81cc-47d0-b9ff-8a9a395afc78 + c929707d-ec52-43e3-a77e-a59d2164ed41 + b1f6c0d9-3977-48cb-bb46-c3b3001aca69 + 362b123d-d24d-4601-afdd-d2a479b1724c + 96f18f85-a147-4cf5-92c5-4ced87b93dab + 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 + 52b0cf76-e00b-4273-8a6d-fa1e5455156a + 487934d5-09c1-4cef-b476-d21414d36460 + 45565072-09a0-4c4e-8876-649e8c15f959 + 827fd7a9-6561-44c6-b603-e62f6ee022df + 608806b5-e6e4-4ced-80db-56f7b1983c02 + 96b8fe41-ba06-4078-89c3-4630e325edaa + 5e18c129-239d-4f8a-b7f5-dd959ed6383d + b847c6ad-8b60-4fae-9b78-5c7f02c1266a + d5664440-f6b4-4b10-933e-a42f0499a237 + 7897d203-6bd2-4606-9adc-12b1f77de771 + 21df89f2-1d28-43fd-9388-582e94391280 + 43b918d6-9705-45be-95f1-05eca87ad73c + f171eda7-0b3b-474b-9488-a61e849583dd + 261667ac-0bc3-49dd-9735-9cf23553d734 + 53ac0034-58e2-46a7-8239-f845fa90998c + 83d91221-c354-4f1f-8819-17daab3e60db + 411e8f77-5869-4760-b875-f9b6d414bad5 + 685bb45a-5cc0-4017-9ab6-9fd9fa22e358 + 34 + 645b73ef-d12d-44d7-be2a-24a1ace410ba + Group + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + 99f4ebd5-042d-43e6-bfed-05074051684a + Explode + Explode + + + + + + 6218 + -914 + 136 + 44 + + + 6285 + -892 + + + + + + Curve to explode + 726878d2-9958-441e-874e-65b17bdae673 + Curve + Curve + false + 591c43c1-1b26-4993-8a6e-1d5ae5e4f6ca + 1 + + + + + + 6220 + -912 + 50 + 20 + + + 6246.5 + -902 + + + + + + + + Recursive decomposition until all segments are atomic + 9f480873-e5d9-4d4c-9ddf-a7103ebaefd5 + Recursive + Recursive + false + 0 + + + + + + 6220 + -892 + 50 + 20 + + + 6246.5 + -882 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + aec7139f-30dc-447d-a0c1-8efe7237c017 + Segments + Segments + false + 0 + + + + + + 6300 + -912 + 52 + 20 + + + 6327.5 + -902 + + + + + + + + 1 + Vertices of the exploded segments + 1aee6137-0822-462b-ac04-b3b7b5bdaff2 + Vertices + Vertices + false + 0 + + + + + + 6300 + -892 + 52 + 20 + + + 6327.5 + -882 + + + + + + + + + + + + 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 + 3034a781-671d-4a5e-aa58-73181cba0888 + Evaluate Length + Evaluate Length + + + + + + 6214 + -997 + 144 + 64 + + + 6288 + -965 + + + + + + Curve to evaluate + 55f26b6c-d4ab-40e5-a19a-3182140e320c + Curve + Curve + false + aec7139f-30dc-447d-a0c1-8efe7237c017 + 1 + + + + + + 6216 + -995 + 57 + 20 + + + 6246 + -985 + + + + + + + + Length factor for curve evaluation + ad57fddd-f6aa-4b74-b291-c392d0067561 + Length + Length + false + 0 + + + + + + 6216 + -975 + 57 + 20 + + + 6246 + -965 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + c44ab68c-4f99-4f0a-9727-54fc2cc78370 + Normalized + Normalized + false + 0 + + + + + + 6216 + -955 + 57 + 20 + + + 6246 + -945 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e + Point + Point + false + 0 + + + + + + 6303 + -995 + 53 + 20 + + + 6331 + -985 + + + + + + + + Tangent vector at the specified length + dc8d874e-7971-4aaa-ba69-dea55ccb29b7 + Tangent + Tangent + false + 0 + + + + + + 6303 + -975 + 53 + 20 + + + 6331 + -965 + + + + + + + + Curve parameter at the specified length + 3ea880c8-b3f9-4d8e-9392-ef06bc46277b + Parameter + Parameter + false + 0 + + + + + + 6303 + -955 + 53 + 20 + + + 6331 + -945 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + 8f284709-650a-41c6-aa40-ca64761a5e3d + Line SDL + Line SDL + + + + + + 6225 + -2630 + 122 + 64 + + + 6305 + -2598 + + + + + + Line start point + f0834f43-a33d-4596-af55-1cdffccfb512 + Start + Start + false + 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e + 1 + + + + + + 6227 + -2628 + 63 + 20 + + + 6268 + -2618 + + + + + + + + Line tangent (direction) + 38c78553-4606-456d-9062-ff83420fe49f + Direction + Direction + false + 8f5ad1ce-e817-40da-95ff-7472f05dd9a9 + 1 + + + + + + 6227 + -2608 + 63 + 20 + + + 6268 + -2598 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + c3c34f02-8914-41a8-add6-ccfcf1188870 + ABS(X) + Length + Length + false + 884d8e3f-f035-4339-9d0b-62ba64e36791 + 1 + + + + + + 6227 + -2588 + 63 + 20 + + + 6268 + -2578 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + 397e22d9-79cd-449a-a56e-078e70acbb3a + Line + Line + false + 0 + + + + + + 6320 + -2628 + 25 + 60 + + + 6334 + -2598 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + 5172507a-b39d-4c9e-a3d7-b8d4aa54e142 + Relative Differences + Relative Differences + + + + + + 6222 + -1340 + 128 + 28 + + + 6275 + -1326 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + fb302bb2-a553-4597-9b38-273b1313bc72 + Values + Values + false + df8fc6d6-4c84-4670-b5c9-e2322c6bfb7d + 1 + + + + + + 6224 + -1338 + 36 + 24 + + + 6243.5 + -1326 + + + + + + + + 1 + Differences between consecutive items + 070d53b4-8566-4d7b-be52-d533551d83e6 + Differenced + Differenced + false + 0 + + + + + + 6290 + -1338 + 58 + 24 + + + 6320.5 + -1326 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 106003f9-4eff-4d79-8a51-efb10775bda4 + Replace Nulls + Replace Nulls + + + + + + 6218 + -1284 + 136 + 44 + + + 6304 + -1262 + + + + + + 1 + Items to test for null + decaa776-d32b-4d88-b173-dbb171e14f6c + Items + Items + false + 30dab452-a43e-44ee-8ccb-3f85c830c828 + 1 + + + + + + 6220 + -1282 + 69 + 20 + + + 6256 + -1272 + + + + + + + + 1 + Items to replace nulls with + 9ed13418-c8f1-44f2-a0da-89dd957f99f4 + Replacements + Replacements + false + 0 + + + + + + 6220 + -1262 + 69 + 20 + + + 6256 + -1252 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + df8fc6d6-4c84-4670-b5c9-e2322c6bfb7d + Items + Items + false + 0 + + + + + + 6319 + -1282 + 33 + 20 + + + 6337 + -1272 + + + + + + + + Number of items replaced + 424c331f-b3c4-47f2-bb18-4a80b8497fc5 + Count + Count + false + 0 + + + + + + 6319 + -1262 + 33 + 20 + + + 6337 + -1252 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + 48c4ee3a-2b00-48a0-88da-e1b169cb3787 + List Length + List Length + + + + + + 6240 + -1389 + 93 + 28 + + + 6279 + -1375 + + + + + + 1 + Base list + 3e75b05e-ad5d-4518-b769-cb96a49dae04 + List + List + false + 070d53b4-8566-4d7b-be52-d533551d83e6 + 1 + + + + + + 6242 + -1387 + 22 + 24 + + + 6254.5 + -1375 + + + + + + + + Number of items in L + 78f085a5-2f26-4487-bbb2-61e6955aecc8 + Length + Length + false + 0 + + + + + + 6294 + -1387 + 37 + 24 + + + 6314 + -1375 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + 4d7a9d1f-da6b-40e0-89e8-4e5f8ad2e110 + List Item + List Item + + + + + + 6249 + -1552 + 74 + 64 + + + 6297 + -1520 + + + + + + 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 + d05d80b6-324f-42b0-9eba-31943d9f85cd + List + List + false + 070d53b4-8566-4d7b-be52-d533551d83e6 + 1 + + + + + + 6251 + -1550 + 31 + 20 + + + 6268 + -1540 + + + + + + + + Item index + 090e55cd-472a-48e2-91a6-2975e2282469 + Index + Index + false + 2130feec-5bf7-4a85-a73c-b63575af8433 + 1 + + + + + + 6251 + -1530 + 31 + 20 + + + 6268 + -1520 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 83637ba0-d639-47d7-b377-010f2389430e + Wrap + Wrap + false + 0 + + + + + + 6251 + -1510 + 31 + 20 + + + 6268 + -1500 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 72846cba-26e1-4135-895f-6fc9bfc32db7 + false + Item + i + false + 0 + + + + + + 6312 + -1550 + 9 + 60 + + + 6318 + -1520 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + 2ad88e08-8f66-42be-89a3-61ac83f5bfda + Series + Series + + + + + + 6228 + -1470 + 117 + 64 + + + 6294 + -1438 + + + + + + First number in the series + c6e4e0d8-22a2-4d34-8faa-302658a2226d + Start + Start + false + 0 + + + + + + 6230 + -1468 + 49 + 20 + + + 6264 + -1458 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + 2ebe27c9-7bf2-4baa-8833-67ed42caeb3d + Step + Step + false + 0 + + + + + + 6230 + -1448 + 49 + 20 + + + 6264 + -1438 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 5cbe1274-cdbe-4569-9128-7ab946725298 + X-1 + Count + Count + false + 78f085a5-2f26-4487-bbb2-61e6955aecc8 + 1 + + + + + + 6230 + -1428 + 49 + 20 + + + 6264 + -1418 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 2130feec-5bf7-4a85-a73c-b63575af8433 + Series + Series + false + 0 + + + + + + 6309 + -1468 + 34 + 60 + + + 6327.5 + -1438 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 30dab452-a43e-44ee-8ccb-3f85c830c828 + Relay + + false + 3594fd66-0803-4631-b1d4-89f40175b866 + 1 + + + + + + 6266 + -1221 + 40 + 16 + + + 6286 + -1213 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 + Relay + + false + 72846cba-26e1-4135-895f-6fc9bfc32db7 + 1 + + + + + + 6266 + -1585 + 40 + 16 + + + 6286 + -1577 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5172507a-b39d-4c9e-a3d7-b8d4aa54e142 + 106003f9-4eff-4d79-8a51-efb10775bda4 + 48c4ee3a-2b00-48a0-88da-e1b169cb3787 + 4d7a9d1f-da6b-40e0-89e8-4e5f8ad2e110 + 2ad88e08-8f66-42be-89a3-61ac83f5bfda + 30dab452-a43e-44ee-8ccb-3f85c830c828 + 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 + 7 + eb9aa334-81cc-47d0-b9ff-8a9a395afc78 + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + c929707d-ec52-43e3-a77e-a59d2164ed41 + Curve Closest Point + Curve Closest Point + + + + + + 6226 + -1085 + 120 + 64 + + + 6276 + -1053 + + + + + + Point to project onto curve + 42755844-e7de-4db7-8a2a-3a0d4c3ce5d4 + Point + Point + false + 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e + 1 + + + + + + 6228 + -1083 + 33 + 30 + + + 6246 + -1068 + + + + + + + + Curve to project onto + d49ab0e6-18b4-4649-8ee9-c5f61f6fdd55 + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + -1053 + 33 + 30 + + + 6246 + -1038 + + + + + + + + Point on the curve closest to the base point + c415bd73-56f6-4b0a-9422-91f678cddb7e + Point + Point + false + 0 + + + + + + 6291 + -1083 + 53 + 20 + + + 6319 + -1073 + + + + + + + + Parameter on curve domain of closest point + bd9e01e3-c3dc-4365-a5a6-788209c16e83 + Parameter + Parameter + false + 0 + + + + + + 6291 + -1063 + 53 + 20 + + + 6319 + -1053 + + + + + + + + Distance between base point and curve + 7225e974-aa3c-436e-971b-e838a4f636f2 + Distance + Distance + false + 0 + + + + + + 6291 + -1043 + 53 + 20 + + + 6319 + -1033 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + b1f6c0d9-3977-48cb-bb46-c3b3001aca69 + Line + Line + + + + + + 6229 + -1164 + 114 + 44 + + + 6301 + -1142 + + + + + + Line start point + d5c9f524-f8c5-4510-80d0-ec21203f62dc + Start Point + Start Point + false + c415bd73-56f6-4b0a-9422-91f678cddb7e + 1 + + + + + + 6231 + -1162 + 55 + 20 + + + 6260 + -1152 + + + + + + + + Line end point + e350abed-7246-450c-83a3-8ce7192c5a30 + End Point + End Point + false + 3aa0d252-a7f3-4627-a7b1-e2e4d74eb84e + 1 + + + + + + 6231 + -1142 + 55 + 20 + + + 6260 + -1132 + + + + + + + + Line segment + 8f5ad1ce-e817-40da-95ff-7472f05dd9a9 + Line + Line + false + 0 + + + + + + 6316 + -1162 + 25 + 40 + + + 6330 + -1142 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 362b123d-d24d-4601-afdd-d2a479b1724c + Remap Numbers + Remap Numbers + + + + + + 6229 + -2328 + 115 + 64 + + + 6284 + -2296 + + + + + + Value to remap + 8f77db8c-2752-4e74-8a07-ff14d0b33d38 + Value + Value + false + 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 + 1 + + + + + + 6231 + -2326 + 38 + 20 + + + 6251.5 + -2316 + + + + + + + + Source domain + d17b356f-66ba-479d-b3fe-472e74bbdb51 + Source + Source + false + a9ce8cb3-9edf-43ab-b836-1c88486898cb + 1 + + + + + + 6231 + -2306 + 38 + 20 + + + 6251.5 + -2296 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 600832b1-fc79-4942-bb16-3aa1f8be9c4d + Target + Target + false + 0 + + + + + + 6231 + -2286 + 38 + 20 + + + 6251.5 + -2276 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + a1d09801-cd47-47b6-941f-d7ae92679e56 + Mapped + Mapped + false + 0 + + + + + + 6299 + -2326 + 43 + 30 + + + 6322 + -2311 + + + + + + + + Remapped and clipped number + c9d3fad9-c15f-4711-a194-05af62c65dce + Clipped + Clipped + false + 0 + + + + + + 6299 + -2296 + 43 + 30 + + + 6322 + -2281 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 96f18f85-a147-4cf5-92c5-4ced87b93dab + Bounds + Bounds + + + + + + 6225 + -2246 + 122 + 28 + + + 6289 + -2232 + + + + + + 1 + Numbers to include in Bounds + c95818d1-cd78-4a3b-bdfe-9e817582a897 + Numbers + Numbers + false + 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 + 1 + + + + + + 6227 + -2244 + 47 + 24 + + + 6252 + -2232 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + a9ce8cb3-9edf-43ab-b836-1c88486898cb + Domain + Domain + false + 0 + + + + + + 6304 + -2244 + 41 + 24 + + + 6326 + -2232 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 + Relay + + false + 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 + 1 + + + + + + 6266 + -2199 + 40 + 16 + + + 6286 + -2191 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 52b0cf76-e00b-4273-8a6d-fa1e5455156a + Multiplication + Multiplication + + + + + + 6245 + -2527 + 82 + 44 + + + 6276 + -2505 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 1ea496b7-d1d4-4763-a3fb-07d6f8745a56 + A + A + true + 1b2424de-5d5c-4396-8636-89730f6d36e6 + 1 + + + + + + 6247 + -2525 + 14 + 20 + + + 6255.5 + -2515 + + + + + + + + Second item for multiplication + 99d807b9-839d-43b2-b8c4-df8c17675917 + B + B + true + 827fd7a9-6561-44c6-b603-e62f6ee022df + 1 + + + + + + 6247 + -2505 + 14 + 20 + + + 6255.5 + -2495 + + + + + + + + Result of multiplication + 884d8e3f-f035-4339-9d0b-62ba64e36791 + Result + Result + false + 0 + + + + + + 6291 + -2525 + 34 + 40 + + + 6309.5 + -2505 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 487934d5-09c1-4cef-b476-d21414d36460 + Multiplication + Multiplication + + + + + + 6245 + -2420 + 82 + 44 + + + 6276 + -2398 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 04f19f7b-b9b5-4b87-9a36-eaf63815032b + A + A + true + 45565072-09a0-4c4e-8876-649e8c15f959 + 1 + + + + + + 6247 + -2418 + 14 + 20 + + + 6255.5 + -2408 + + + + + + + + Second item for multiplication + 1e861755-92f5-4f56-9fe9-69147a82efd2 + B + B + true + a1d09801-cd47-47b6-941f-d7ae92679e56 + 1 + + + + + + 6247 + -2398 + 14 + 20 + + + 6255.5 + -2388 + + + + + + + + Result of multiplication + 1b2424de-5d5c-4396-8636-89730f6d36e6 + Result + Result + false + 0 + + + + + + 6291 + -2418 + 34 + 40 + + + 6309.5 + -2398 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 45565072-09a0-4c4e-8876-649e8c15f959 + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + -2355 + 40 + 16 + + + 6286 + -2347 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 827fd7a9-6561-44c6-b603-e62f6ee022df + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.12500000000 + + + + + + 6162 + -2443 + 250 + 20 + + + 6162.326 + -2442.704 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 362b123d-d24d-4601-afdd-d2a479b1724c + 96f18f85-a147-4cf5-92c5-4ced87b93dab + 27f71b4c-bb02-450b-8c85-4fe83af4d9f4 + 52b0cf76-e00b-4273-8a6d-fa1e5455156a + 487934d5-09c1-4cef-b476-d21414d36460 + 45565072-09a0-4c4e-8876-649e8c15f959 + 827fd7a9-6561-44c6-b603-e62f6ee022df + 7 + 608806b5-e6e4-4ced-80db-56f7b1983c02 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 99f4ebd5-042d-43e6-bfed-05074051684a + 3034a781-671d-4a5e-aa58-73181cba0888 + c929707d-ec52-43e3-a77e-a59d2164ed41 + b1f6c0d9-3977-48cb-bb46-c3b3001aca69 + 4 + 96b8fe41-ba06-4078-89c3-4630e325edaa + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 5e18c129-239d-4f8a-b7f5-dd959ed6383d + true + Expression + Expression + + + + + + 6189 + -1685 + 194 + 28 + + + 6289 + -1671 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 68ad69bd-18ba-4653-9373-a21b8b1e2eae + true + Variable O + O + true + 7897d203-6bd2-4606-9adc-12b1f77de771 + 1 + + + + + + 6191 + -1683 + 14 + 24 + + + 6199.5 + -1671 + + + + + + + + Result of expression + c6788cd1-8fd1-4520-94eb-8fce5f41029f + true + Result + + false + 0 + + + + + + 6372 + -1683 + 9 + 24 + + + 6378 + -1671 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b847c6ad-8b60-4fae-9b78-5c7f02c1266a + Panel + + false + 1 + c6788cd1-8fd1-4520-94eb-8fce5f41029f + 1 + Double click to edit panel content… + + + + + + 6194 + -1961 + 185 + 271 + + 0 + 0 + 0 + + 6194.661 + -1960.312 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d5664440-f6b4-4b10-933e-a42f0499a237 + Relay + + false + b847c6ad-8b60-4fae-9b78-5c7f02c1266a + 1 + + + + + + 6266 + -1994 + 40 + 16 + + + 6286 + -1986 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7897d203-6bd2-4606-9adc-12b1f77de771 + Relay + + false + 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 + 1 + + + + + + 6266 + -1638 + 40 + 16 + + + 6286 + -1630 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5e18c129-239d-4f8a-b7f5-dd959ed6383d + b847c6ad-8b60-4fae-9b78-5c7f02c1266a + d5664440-f6b4-4b10-933e-a42f0499a237 + 7897d203-6bd2-4606-9adc-12b1f77de771 + 4 + 21df89f2-1d28-43fd-9388-582e94391280 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 43b918d6-9705-45be-95f1-05eca87ad73c + Create Material + Create Material + + + + + + 6214 + -2756 + 144 + 104 + + + 6298 + -2704 + + + + + + Colour of the diffuse channel + 8e1ad101-dc91-4e8d-b9bc-02a77dbb5628 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -2754 + 67 + 20 + + + 6251 + -2744 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;224;224;224 + + + + + + + + + + + + Colour of the specular highlight + 51fba7ca-f686-4780-9b16-6ba14b1372ef + Specular + Specular + false + 0 + + + + + + 6216 + -2734 + 67 + 20 + + + 6251 + -2724 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 9d5540cc-54b4-49ed-a85e-deb875407125 + Emission + Emission + false + 0 + + + + + + 6216 + -2714 + 67 + 20 + + + 6251 + -2704 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + be93035f-3fd6-4e9b-83f6-446736d14d65 + Transparency + Transparency + false + 0 + + + + + + 6216 + -2694 + 67 + 20 + + + 6251 + -2684 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + d8f194e5-3992-4f80-9ca3-80613db8606e + Shine + Shine + false + 0 + + + + + + 6216 + -2674 + 67 + 20 + + + 6251 + -2664 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 17c5a616-028f-4a92-b96a-780014d78121 + Material + Material + false + 0 + + + + + + 6313 + -2754 + 43 + 100 + + + 6336 + -2704 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + f171eda7-0b3b-474b-9488-a61e849583dd + Custom Preview + Custom Preview + + + + + + + 6245 + -2827 + 82 + 44 + + + 6313 + -2805 + + + + + + Geometry to preview + true + ed719e81-def1-405b-a28b-e651d359b8a3 + Geometry + Geometry + false + 397e22d9-79cd-449a-a56e-078e70acbb3a + 1 + + + + + + 6247 + -2825 + 51 + 20 + + + 6274 + -2815 + + + + + + + + The material override + a9947868-af04-4179-b8c7-49a076c939dc + Material + Material + false + 17c5a616-028f-4a92-b96a-780014d78121 + 1 + + + + + + 6247 + -2805 + 51 + 20 + + + 6274 + -2795 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 261667ac-0bc3-49dd-9735-9cf23553d734 + Evaluate Length + Evaluate Length + + + + + + 6214 + -2915 + 144 + 64 + + + 6288 + -2883 + + + + + + Curve to evaluate + 550935cc-fd4a-471f-9184-d38d3d139c75 + Curve + Curve + false + 397e22d9-79cd-449a-a56e-078e70acbb3a + 1 + + + + + + 6216 + -2913 + 57 + 20 + + + 6246 + -2903 + + + + + + + + Length factor for curve evaluation + 4c2298dc-23fe-432b-9a1c-0e18a872b63e + Length + Length + false + 0 + + + + + + 6216 + -2893 + 57 + 20 + + + 6246 + -2883 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 1e529d20-e6f3-40d8-82be-0f6f4328de65 + Normalized + Normalized + false + 0 + + + + + + 6216 + -2873 + 57 + 20 + + + 6246 + -2863 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 40a18db0-76e3-408c-8057-4da30a2716af + Point + Point + false + 0 + + + + + + 6303 + -2913 + 53 + 20 + + + 6331 + -2903 + + + + + + + + Tangent vector at the specified length + c2ec978e-876f-401f-ad22-f19d944e7274 + Tangent + Tangent + false + 0 + + + + + + 6303 + -2893 + 53 + 20 + + + 6331 + -2883 + + + + + + + + Curve parameter at the specified length + a865a33e-f969-4ab2-bf8d-2cb2260b1d3d + Parameter + Parameter + false + 0 + + + + + + 6303 + -2873 + 53 + 20 + + + 6331 + -2863 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + 53ac0034-58e2-46a7-8239-f845fa90998c + Interpolate + Interpolate + + + + + + 6224 + -3020 + 125 + 84 + + + 6291 + -2978 + + + + + + 1 + Interpolation points + d053db4b-c69c-4eb1-b1cb-0e6814657784 + Vertices + Vertices + false + 40a18db0-76e3-408c-8057-4da30a2716af + 1 + + + + + + 6226 + -3018 + 50 + 20 + + + 6252.5 + -3008 + + + + + + + + Curve degree + c5b8ccf3-9faf-4659-a488-40c06d164788 + Degree + Degree + false + 0 + + + + + + 6226 + -2998 + 50 + 20 + + + 6252.5 + -2988 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 4b987ee7-539c-44a3-b88a-35aa4c877675 + Periodic + Periodic + false + 0 + + + + + + 6226 + -2978 + 50 + 20 + + + 6252.5 + -2968 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 8fedf8ef-c557-4d82-a94b-49e121af1a76 + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + -2958 + 50 + 20 + + + 6252.5 + -2948 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 25ee6593-8965-46f1-aa54-6a03b97084dc + Curve + Curve + false + 0 + + + + + + 6306 + -3018 + 41 + 26 + + + 6328 + -3004.667 + + + + + + + + Curve length + ba493ba1-f95b-46a3-ac0b-e0e643bc29a5 + Length + Length + false + 0 + + + + + + 6306 + -2992 + 41 + 27 + + + 6328 + -2978 + + + + + + + + Curve domain + 14855a34-8316-41cb-b92f-e573279b4452 + Domain + Domain + false + 0 + + + + + + 6306 + -2965 + 41 + 27 + + + 6328 + -2951.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 83d91221-c354-4f1f-8819-17daab3e60db + Create Material + Create Material + + + + + + 6214 + -3147 + 144 + 104 + + + 6298 + -3095 + + + + + + Colour of the diffuse channel + 39e662d5-0ae9-4c2a-bdfb-69a56a10dc61 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -3145 + 67 + 20 + + + 6251 + -3135 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;199;199;199 + + + + + + + + + + + + Colour of the specular highlight + b1837f58-2d9b-4849-afdd-7968dfbd8e76 + Specular + Specular + false + 0 + + + + + + 6216 + -3125 + 67 + 20 + + + 6251 + -3115 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + a8eb8d9a-9689-4af9-8096-90ad4d0ff529 + Emission + Emission + false + 0 + + + + + + 6216 + -3105 + 67 + 20 + + + 6251 + -3095 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 29a978c5-8eb3-4ced-a5f4-1dc8f2aa4a81 + Transparency + Transparency + false + 0 + + + + + + 6216 + -3085 + 67 + 20 + + + 6251 + -3075 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 7578ec86-5424-449f-9fdb-9f91cbca8d68 + Shine + Shine + false + 0 + + + + + + 6216 + -3065 + 67 + 20 + + + 6251 + -3055 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + ff3245f5-c787-4bad-8e60-bdbb6c0d0d36 + Material + Material + false + 0 + + + + + + 6313 + -3145 + 43 + 100 + + + 6336 + -3095 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 411e8f77-5869-4760-b875-f9b6d414bad5 + Custom Preview + Custom Preview + + + + + + + 6245 + -3213 + 82 + 44 + + + 6313 + -3191 + + + + + + Geometry to preview + true + 97b76ad2-1df8-4234-ad50-8d41de6e84c0 + Geometry + Geometry + false + 25ee6593-8965-46f1-aa54-6a03b97084dc + 1 + + + + + + 6247 + -3211 + 51 + 20 + + + 6274 + -3201 + + + + + + + + The material override + fa3b20ec-6319-46db-8ecd-eda0d98c7759 + Material + Material + false + ff3245f5-c787-4bad-8e60-bdbb6c0d0d36 + 1 + + + + + + 6247 + -3191 + 51 + 20 + + + 6274 + -3181 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 685bb45a-5cc0-4017-9ab6-9fd9fa22e358 + Quick Graph + Quick Graph + false + 0 + 7897d203-6bd2-4606-9adc-12b1f77de771 + 1 + + + + + + 6212 + -2157 + 150 + 150 + + + 6212.48 + -2156.834 + + -1 + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ef5e3814-b9a9-4374-b436-0edd16a18fc8 + c5bba97e-c446-4dac-9187-9677477309d4 + b1b24cb8-e658-4655-9723-cd29cc7123e2 + 699adb97-e0c1-46d0-a5db-3042de93a077 + 6ae00ebb-d07a-41b6-9306-47e4785da946 + abc51553-3f83-4762-bd5c-565aa883513f + ffcb60d2-d38c-4a64-981c-194c1190e305 + 63114c88-a4c1-4e64-9ddf-01d82a477cc6 + 956c5521-ba7c-42b2-bb00-714f770479e2 + e6c3b639-be98-4559-b61b-0cb8773ea56a + 2d3b184c-35a3-43c3-8f7f-6d3b2cd69e79 + 3756038b-9485-46ff-9e54-1c5b05c53d48 + c975ec9d-820a-4177-9a75-2d1d4dc1b212 + 5a5464fa-3d17-494f-8862-90fa7e27589e + 4f49e8e6-1f9f-4dc1-bda3-6c01c1d84db8 + 7feeee32-a675-419d-b2fd-3fa0408805d2 + c89dfe1f-7531-459c-be54-2487092cf8df + ec4b8638-1bc3-4217-8636-f210c2330ef9 + 8b579e21-5bcb-49c4-9c7a-3964f410a65f + aef06ed1-be6a-455e-957c-227475ead814 + 20148088-6b3f-49c9-939e-0fa7962b2fd4 + 8500a4e2-cb90-47fd-97b1-b66a0c5965ed + 055af412-306c-4401-b17a-dcf79a4f92f8 + f7b23a8b-7fc6-4fa4-a438-983ba435c227 + f7ad687b-b6be-499a-b82d-aa165826f3b5 + d0988520-fb8a-4880-87d8-c46a3ba97662 + 0286b4ea-b839-419d-be31-e99d77dd5f80 + acb0d022-ccad-48d2-8f4d-525ba623846a + 2c6b6b16-562b-472f-be31-094ce887a23b + 32088864-4583-4634-b82b-7298f7d02c2e + 5e9b3ce0-f07a-4a9e-9888-66dff7ee1c02 + 3b90f506-03a7-4845-877e-09ac198232f8 + bfc4389d-003e-477a-a96e-9be97a11a1fc + 35ed44d6-8925-43ec-b848-693e0c903684 + 34 + 52a04e9a-85a3-4987-ab51-7e487a23a5a9 + Group + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + ef5e3814-b9a9-4374-b436-0edd16a18fc8 + Explode + Explode + + + + + + 6218 + -3562 + 136 + 44 + + + 6285 + -3540 + + + + + + Curve to explode + 31b3a35e-c190-4ca2-8ac1-9c6b29cb6718 + Curve + Curve + false + 25ee6593-8965-46f1-aa54-6a03b97084dc + 1 + + + + + + 6220 + -3560 + 50 + 20 + + + 6246.5 + -3550 + + + + + + + + Recursive decomposition until all segments are atomic + b08f80d6-e16a-4210-abbb-387892cbffe3 + Recursive + Recursive + false + 0 + + + + + + 6220 + -3540 + 50 + 20 + + + 6246.5 + -3530 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + df5d6004-7af4-464a-939c-d28c3e52cdfc + Segments + Segments + false + 0 + + + + + + 6300 + -3560 + 52 + 20 + + + 6327.5 + -3550 + + + + + + + + 1 + Vertices of the exploded segments + 8fc616c5-a0a2-41f1-b4bd-61bb4d84a2e8 + Vertices + Vertices + false + 0 + + + + + + 6300 + -3540 + 52 + 20 + + + 6327.5 + -3530 + + + + + + + + + + + + 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 + c5bba97e-c446-4dac-9187-9677477309d4 + Evaluate Length + Evaluate Length + + + + + + 6214 + -3645 + 144 + 64 + + + 6288 + -3613 + + + + + + Curve to evaluate + 0701b32b-af2f-42dc-a47e-f19903ce540a + Curve + Curve + false + df5d6004-7af4-464a-939c-d28c3e52cdfc + 1 + + + + + + 6216 + -3643 + 57 + 20 + + + 6246 + -3633 + + + + + + + + Length factor for curve evaluation + 1d75c069-4cff-4728-b205-0e48c2e7e2f4 + Length + Length + false + 0 + + + + + + 6216 + -3623 + 57 + 20 + + + 6246 + -3613 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 8018f872-902e-4669-933e-d7e3d4d68f32 + Normalized + Normalized + false + 0 + + + + + + 6216 + -3603 + 57 + 20 + + + 6246 + -3593 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + bd7cc0e2-7be1-493e-a263-c309b0a36189 + Point + Point + false + 0 + + + + + + 6303 + -3643 + 53 + 20 + + + 6331 + -3633 + + + + + + + + Tangent vector at the specified length + 587e10c3-9148-49d8-9d27-7a27daf48356 + Tangent + Tangent + false + 0 + + + + + + 6303 + -3623 + 53 + 20 + + + 6331 + -3613 + + + + + + + + Curve parameter at the specified length + 77be7ccc-4925-47e5-9ad1-01373cfcc5e8 + Parameter + Parameter + false + 0 + + + + + + 6303 + -3603 + 53 + 20 + + + 6331 + -3593 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + b1b24cb8-e658-4655-9723-cd29cc7123e2 + Line SDL + Line SDL + + + + + + 6225 + -5278 + 122 + 64 + + + 6305 + -5246 + + + + + + Line start point + a38d9fee-14f8-4387-b85d-b4dcdfdc38dc + Start + Start + false + bd7cc0e2-7be1-493e-a263-c309b0a36189 + 1 + + + + + + 6227 + -5276 + 63 + 20 + + + 6268 + -5266 + + + + + + + + Line tangent (direction) + 9d385207-16a7-42a0-82f2-5da31361a497 + Direction + Direction + false + 582371bd-a3e4-48f4-85d7-cb9421b205a3 + 1 + + + + + + 6227 + -5256 + 63 + 20 + + + 6268 + -5246 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + c3ee8661-d494-466b-8fee-e0d288645bbc + ABS(X) + Length + Length + false + 603951a7-9959-4d33-b43f-c51a750de99e + 1 + + + + + + 6227 + -5236 + 63 + 20 + + + 6268 + -5226 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + c3e25048-10c2-4409-a8fd-fd88063c3a38 + Line + Line + false + 0 + + + + + + 6320 + -5276 + 25 + 60 + + + 6334 + -5246 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + 699adb97-e0c1-46d0-a5db-3042de93a077 + Relative Differences + Relative Differences + + + + + + 6222 + -3988 + 128 + 28 + + + 6275 + -3974 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + 7e1fc210-19ea-42a3-b1d3-0a888a6ccf5b + Values + Values + false + ea2abc8e-191a-4c63-98cd-05a4b42891cb + 1 + + + + + + 6224 + -3986 + 36 + 24 + + + 6243.5 + -3974 + + + + + + + + 1 + Differences between consecutive items + 1722116a-ddb0-4475-a813-8a5cf1a9cfd0 + Differenced + Differenced + false + 0 + + + + + + 6290 + -3986 + 58 + 24 + + + 6320.5 + -3974 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 6ae00ebb-d07a-41b6-9306-47e4785da946 + Replace Nulls + Replace Nulls + + + + + + 6218 + -3932 + 136 + 44 + + + 6304 + -3910 + + + + + + 1 + Items to test for null + 511e78d1-bb93-41bc-a244-dbab2084781c + Items + Items + false + 956c5521-ba7c-42b2-bb00-714f770479e2 + 1 + + + + + + 6220 + -3930 + 69 + 20 + + + 6256 + -3920 + + + + + + + + 1 + Items to replace nulls with + 25b27191-5c41-4420-bcd1-1311922abce8 + Replacements + Replacements + false + 0 + + + + + + 6220 + -3910 + 69 + 20 + + + 6256 + -3900 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + ea2abc8e-191a-4c63-98cd-05a4b42891cb + Items + Items + false + 0 + + + + + + 6319 + -3930 + 33 + 20 + + + 6337 + -3920 + + + + + + + + Number of items replaced + 44bef9e6-0df1-400d-b869-64d50d0a5183 + Count + Count + false + 0 + + + + + + 6319 + -3910 + 33 + 20 + + + 6337 + -3900 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + abc51553-3f83-4762-bd5c-565aa883513f + List Length + List Length + + + + + + 6240 + -4037 + 93 + 28 + + + 6279 + -4023 + + + + + + 1 + Base list + a99009ea-e0c4-4313-bd2c-9fa15b25e519 + List + List + false + 1722116a-ddb0-4475-a813-8a5cf1a9cfd0 + 1 + + + + + + 6242 + -4035 + 22 + 24 + + + 6254.5 + -4023 + + + + + + + + Number of items in L + b63b58f9-c336-4d84-8fa5-0f6607e7730c + Length + Length + false + 0 + + + + + + 6294 + -4035 + 37 + 24 + + + 6314 + -4023 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + ffcb60d2-d38c-4a64-981c-194c1190e305 + List Item + List Item + + + + + + 6249 + -4200 + 74 + 64 + + + 6297 + -4168 + + + + + + 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 + 29b23bcf-b149-4011-9baf-657d2be8b941 + List + List + false + 1722116a-ddb0-4475-a813-8a5cf1a9cfd0 + 1 + + + + + + 6251 + -4198 + 31 + 20 + + + 6268 + -4188 + + + + + + + + Item index + b96338df-145a-4dea-bcc9-8f48f58a62de + Index + Index + false + 56a2ff50-ca57-455f-ac86-58924a1b56f6 + 1 + + + + + + 6251 + -4178 + 31 + 20 + + + 6268 + -4168 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 1aa93e15-db85-4da4-8018-cea5f305a658 + Wrap + Wrap + false + 0 + + + + + + 6251 + -4158 + 31 + 20 + + + 6268 + -4148 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + f7ebfbcf-f339-48c7-8591-4c2cbb7b6a4b + false + Item + i + false + 0 + + + + + + 6312 + -4198 + 9 + 60 + + + 6318 + -4168 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + 63114c88-a4c1-4e64-9ddf-01d82a477cc6 + Series + Series + + + + + + 6228 + -4118 + 117 + 64 + + + 6294 + -4086 + + + + + + First number in the series + 7a05db1f-9668-4d4f-8702-e712f2073f80 + Start + Start + false + 0 + + + + + + 6230 + -4116 + 49 + 20 + + + 6264 + -4106 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + aae00680-dbf8-48ca-bd59-c09c10a25ada + Step + Step + false + 0 + + + + + + 6230 + -4096 + 49 + 20 + + + 6264 + -4086 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 108e172c-e13e-40a6-9fb0-f8a0ec3b49d4 + X-1 + Count + Count + false + b63b58f9-c336-4d84-8fa5-0f6607e7730c + 1 + + + + + + 6230 + -4076 + 49 + 20 + + + 6264 + -4066 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 56a2ff50-ca57-455f-ac86-58924a1b56f6 + Series + Series + false + 0 + + + + + + 6309 + -4116 + 34 + 60 + + + 6327.5 + -4086 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 956c5521-ba7c-42b2-bb00-714f770479e2 + Relay + + false + 91d2a57a-b5ea-480c-8b7d-a654df6d3c46 + 1 + + + + + + 6266 + -3869 + 40 + 16 + + + 6286 + -3861 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + e6c3b639-be98-4559-b61b-0cb8773ea56a + Relay + + false + f7ebfbcf-f339-48c7-8591-4c2cbb7b6a4b + 1 + + + + + + 6266 + -4233 + 40 + 16 + + + 6286 + -4225 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 699adb97-e0c1-46d0-a5db-3042de93a077 + 6ae00ebb-d07a-41b6-9306-47e4785da946 + abc51553-3f83-4762-bd5c-565aa883513f + ffcb60d2-d38c-4a64-981c-194c1190e305 + 63114c88-a4c1-4e64-9ddf-01d82a477cc6 + 956c5521-ba7c-42b2-bb00-714f770479e2 + e6c3b639-be98-4559-b61b-0cb8773ea56a + 7 + 2d3b184c-35a3-43c3-8f7f-6d3b2cd69e79 + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + 3756038b-9485-46ff-9e54-1c5b05c53d48 + Curve Closest Point + Curve Closest Point + + + + + + 6226 + -3733 + 120 + 64 + + + 6276 + -3701 + + + + + + Point to project onto curve + 6b0cfb20-3c42-472c-a79b-c5d8b0024985 + Point + Point + false + bd7cc0e2-7be1-493e-a263-c309b0a36189 + 1 + + + + + + 6228 + -3731 + 33 + 30 + + + 6246 + -3716 + + + + + + + + Curve to project onto + a6d798e5-1d47-46a8-b585-246816e17107 + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + -3701 + 33 + 30 + + + 6246 + -3686 + + + + + + + + Point on the curve closest to the base point + ed3f3fd7-170a-4382-b54f-5ebfecb83aa2 + Point + Point + false + 0 + + + + + + 6291 + -3731 + 53 + 20 + + + 6319 + -3721 + + + + + + + + Parameter on curve domain of closest point + 4f778121-d215-4a69-9b37-35647c292ee1 + Parameter + Parameter + false + 0 + + + + + + 6291 + -3711 + 53 + 20 + + + 6319 + -3701 + + + + + + + + Distance between base point and curve + d750856d-7282-44e1-bd41-c4bf401070ae + Distance + Distance + false + 0 + + + + + + 6291 + -3691 + 53 + 20 + + + 6319 + -3681 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + c975ec9d-820a-4177-9a75-2d1d4dc1b212 + Line + Line + + + + + + 6229 + -3812 + 114 + 44 + + + 6301 + -3790 + + + + + + Line start point + 32356b81-9f0a-4aa7-827d-19212171ad60 + Start Point + Start Point + false + ed3f3fd7-170a-4382-b54f-5ebfecb83aa2 + 1 + + + + + + 6231 + -3810 + 55 + 20 + + + 6260 + -3800 + + + + + + + + Line end point + b248e6d5-4f0f-4a22-8666-f0cfcfff7129 + End Point + End Point + false + bd7cc0e2-7be1-493e-a263-c309b0a36189 + 1 + + + + + + 6231 + -3790 + 55 + 20 + + + 6260 + -3780 + + + + + + + + Line segment + 582371bd-a3e4-48f4-85d7-cb9421b205a3 + Line + Line + false + 0 + + + + + + 6316 + -3810 + 25 + 40 + + + 6330 + -3790 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 5a5464fa-3d17-494f-8862-90fa7e27589e + Remap Numbers + Remap Numbers + + + + + + 6229 + -4976 + 115 + 64 + + + 6284 + -4944 + + + + + + Value to remap + 8f805d90-52ee-4b25-9f75-9e096bc6bf80 + Value + Value + false + 7feeee32-a675-419d-b2fd-3fa0408805d2 + 1 + + + + + + 6231 + -4974 + 38 + 20 + + + 6251.5 + -4964 + + + + + + + + Source domain + 6473836c-b8d2-4a03-b219-724652692b0f + Source + Source + false + 88628cee-6413-4d8d-a212-c3eaa9b2bd2a + 1 + + + + + + 6231 + -4954 + 38 + 20 + + + 6251.5 + -4944 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 7f5fa7b1-13b4-4fa5-85ad-1b340fa9e387 + Target + Target + false + 0 + + + + + + 6231 + -4934 + 38 + 20 + + + 6251.5 + -4924 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 7dd6f529-a56a-4fcc-b52a-939a3446cc04 + Mapped + Mapped + false + 0 + + + + + + 6299 + -4974 + 43 + 30 + + + 6322 + -4959 + + + + + + + + Remapped and clipped number + c62fe18e-9ab7-4d98-8fd4-b767b7fd7b97 + Clipped + Clipped + false + 0 + + + + + + 6299 + -4944 + 43 + 30 + + + 6322 + -4929 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 4f49e8e6-1f9f-4dc1-bda3-6c01c1d84db8 + Bounds + Bounds + + + + + + 6225 + -4894 + 122 + 28 + + + 6289 + -4880 + + + + + + 1 + Numbers to include in Bounds + 4c70656d-57d9-4b26-a0b6-28107923b014 + Numbers + Numbers + false + 7feeee32-a675-419d-b2fd-3fa0408805d2 + 1 + + + + + + 6227 + -4892 + 47 + 24 + + + 6252 + -4880 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + 88628cee-6413-4d8d-a212-c3eaa9b2bd2a + Domain + Domain + false + 0 + + + + + + 6304 + -4892 + 41 + 24 + + + 6326 + -4880 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7feeee32-a675-419d-b2fd-3fa0408805d2 + Relay + + false + e6c3b639-be98-4559-b61b-0cb8773ea56a + 1 + + + + + + 6266 + -4847 + 40 + 16 + + + 6286 + -4839 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + c89dfe1f-7531-459c-be54-2487092cf8df + Multiplication + Multiplication + + + + + + 6245 + -5175 + 82 + 44 + + + 6276 + -5153 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 1874d8cf-7d98-4b83-addf-27a5df51b48a + A + A + true + 4228b3fc-e086-4782-a246-5c136c8a0826 + 1 + + + + + + 6247 + -5173 + 14 + 20 + + + 6255.5 + -5163 + + + + + + + + Second item for multiplication + 32f61d28-dcc7-4c77-b634-999ac80bc12e + B + B + true + aef06ed1-be6a-455e-957c-227475ead814 + 1 + + + + + + 6247 + -5153 + 14 + 20 + + + 6255.5 + -5143 + + + + + + + + Result of multiplication + 603951a7-9959-4d33-b43f-c51a750de99e + Result + Result + false + 0 + + + + + + 6291 + -5173 + 34 + 40 + + + 6309.5 + -5153 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + ec4b8638-1bc3-4217-8636-f210c2330ef9 + Multiplication + Multiplication + + + + + + 6245 + -5068 + 82 + 44 + + + 6276 + -5046 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + f00c927a-0818-494d-a72d-cd4199f13cbe + A + A + true + 8b579e21-5bcb-49c4-9c7a-3964f410a65f + 1 + + + + + + 6247 + -5066 + 14 + 20 + + + 6255.5 + -5056 + + + + + + + + Second item for multiplication + ba746f1f-6ecf-4934-8887-c7cc678e9585 + B + B + true + 7dd6f529-a56a-4fcc-b52a-939a3446cc04 + 1 + + + + + + 6247 + -5046 + 14 + 20 + + + 6255.5 + -5036 + + + + + + + + Result of multiplication + 4228b3fc-e086-4782-a246-5c136c8a0826 + Result + Result + false + 0 + + + + + + 6291 + -5066 + 34 + 40 + + + 6309.5 + -5046 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 8b579e21-5bcb-49c4-9c7a-3964f410a65f + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + -5003 + 40 + 16 + + + 6286 + -4995 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + aef06ed1-be6a-455e-957c-227475ead814 + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 0.09375000000 + + + + + + 6161 + -5106 + 250 + 20 + + + 6161.524 + -5105.492 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 5a5464fa-3d17-494f-8862-90fa7e27589e + 4f49e8e6-1f9f-4dc1-bda3-6c01c1d84db8 + 7feeee32-a675-419d-b2fd-3fa0408805d2 + c89dfe1f-7531-459c-be54-2487092cf8df + ec4b8638-1bc3-4217-8636-f210c2330ef9 + 8b579e21-5bcb-49c4-9c7a-3964f410a65f + aef06ed1-be6a-455e-957c-227475ead814 + 7 + 20148088-6b3f-49c9-939e-0fa7962b2fd4 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ef5e3814-b9a9-4374-b436-0edd16a18fc8 + c5bba97e-c446-4dac-9187-9677477309d4 + 3756038b-9485-46ff-9e54-1c5b05c53d48 + c975ec9d-820a-4177-9a75-2d1d4dc1b212 + 4 + 8500a4e2-cb90-47fd-97b1-b66a0c5965ed + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 055af412-306c-4401-b17a-dcf79a4f92f8 + true + Expression + Expression + + + + + + 6189 + -4333 + 194 + 28 + + + 6289 + -4319 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7b1e8ef6-c5ee-403f-ad88-16e9036f420a + true + Variable O + O + true + d0988520-fb8a-4880-87d8-c46a3ba97662 + 1 + + + + + + 6191 + -4331 + 14 + 24 + + + 6199.5 + -4319 + + + + + + + + Result of expression + 47e748c3-3345-402b-9a91-3f36146a071c + true + Result + + false + 0 + + + + + + 6372 + -4331 + 9 + 24 + + + 6378 + -4319 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + f7b23a8b-7fc6-4fa4-a438-983ba435c227 + Panel + + false + 1 + 47e748c3-3345-402b-9a91-3f36146a071c + 1 + Double click to edit panel content… + + + + + + 6194 + -4605 + 185 + 271 + + 0 + 0 + 0 + + 6194.124 + -4604.601 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + f7ad687b-b6be-499a-b82d-aa165826f3b5 + Relay + + false + f7b23a8b-7fc6-4fa4-a438-983ba435c227 + 1 + + + + + + 6266 + -4642 + 40 + 16 + + + 6286 + -4634 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d0988520-fb8a-4880-87d8-c46a3ba97662 + Relay + + false + e6c3b639-be98-4559-b61b-0cb8773ea56a + 1 + + + + + + 6266 + -4286 + 40 + 16 + + + 6286 + -4278 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 055af412-306c-4401-b17a-dcf79a4f92f8 + f7b23a8b-7fc6-4fa4-a438-983ba435c227 + f7ad687b-b6be-499a-b82d-aa165826f3b5 + d0988520-fb8a-4880-87d8-c46a3ba97662 + 4 + 0286b4ea-b839-419d-be31-e99d77dd5f80 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + acb0d022-ccad-48d2-8f4d-525ba623846a + Create Material + Create Material + + + + + + 6214 + -5404 + 144 + 104 + + + 6298 + -5352 + + + + + + Colour of the diffuse channel + 88c131f3-893a-4058-b1e8-340dac20e020 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -5402 + 67 + 20 + + + 6251 + -5392 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;217;217;217 + + + + + + + + + + + + Colour of the specular highlight + 628e17fb-ff06-4def-9a1c-a8dbdcff4ea4 + Specular + Specular + false + 0 + + + + + + 6216 + -5382 + 67 + 20 + + + 6251 + -5372 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 89b340d3-0c3c-40b9-9399-4119a7eda41b + Emission + Emission + false + 0 + + + + + + 6216 + -5362 + 67 + 20 + + + 6251 + -5352 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 16d9625b-f22b-42eb-8418-fdcf6c0c9ecf + Transparency + Transparency + false + 0 + + + + + + 6216 + -5342 + 67 + 20 + + + 6251 + -5332 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 3128d6e1-de73-4d10-a72f-11dc901278d3 + Shine + Shine + false + 0 + + + + + + 6216 + -5322 + 67 + 20 + + + 6251 + -5312 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 7a39c583-353d-4716-ae4d-8460e2730a7d + Material + Material + false + 0 + + + + + + 6313 + -5402 + 43 + 100 + + + 6336 + -5352 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 2c6b6b16-562b-472f-be31-094ce887a23b + Custom Preview + Custom Preview + + + + + + + 6245 + -5475 + 82 + 44 + + + 6313 + -5453 + + + + + + Geometry to preview + true + c95a260d-1ea3-41a6-a781-7be862af3855 + Geometry + Geometry + false + c3e25048-10c2-4409-a8fd-fd88063c3a38 + 1 + + + + + + 6247 + -5473 + 51 + 20 + + + 6274 + -5463 + + + + + + + + The material override + e69574d4-9c41-48d0-b1bc-59539d46f34c + Material + Material + false + 7a39c583-353d-4716-ae4d-8460e2730a7d + 1 + + + + + + 6247 + -5453 + 51 + 20 + + + 6274 + -5443 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 32088864-4583-4634-b82b-7298f7d02c2e + Evaluate Length + Evaluate Length + + + + + + 6214 + -5563 + 144 + 64 + + + 6288 + -5531 + + + + + + Curve to evaluate + d91863bc-b4ae-47e4-8651-7afb890e0408 + Curve + Curve + false + c3e25048-10c2-4409-a8fd-fd88063c3a38 + 1 + + + + + + 6216 + -5561 + 57 + 20 + + + 6246 + -5551 + + + + + + + + Length factor for curve evaluation + 7849549e-7552-4627-8ecf-003d5a58d2b9 + Length + Length + false + 0 + + + + + + 6216 + -5541 + 57 + 20 + + + 6246 + -5531 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 9616d789-5606-4c4e-876b-3043c3e5d066 + Normalized + Normalized + false + 0 + + + + + + 6216 + -5521 + 57 + 20 + + + 6246 + -5511 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8126a183-e4df-4b20-a6e8-c52b71df4230 + Point + Point + false + 0 + + + + + + 6303 + -5561 + 53 + 20 + + + 6331 + -5551 + + + + + + + + Tangent vector at the specified length + fc1bed4d-c464-425e-9cc1-158e11c2f37c + Tangent + Tangent + false + 0 + + + + + + 6303 + -5541 + 53 + 20 + + + 6331 + -5531 + + + + + + + + Curve parameter at the specified length + 7c4f6130-57bb-4111-8df2-2b2260750801 + Parameter + Parameter + false + 0 + + + + + + 6303 + -5521 + 53 + 20 + + + 6331 + -5511 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + 5e9b3ce0-f07a-4a9e-9888-66dff7ee1c02 + Interpolate + Interpolate + + + + + + 6224 + -5668 + 125 + 84 + + + 6291 + -5626 + + + + + + 1 + Interpolation points + ae4fe3df-87cc-4b2b-a609-682479d11bc1 + Vertices + Vertices + false + 8126a183-e4df-4b20-a6e8-c52b71df4230 + 1 + + + + + + 6226 + -5666 + 50 + 20 + + + 6252.5 + -5656 + + + + + + + + Curve degree + 3726f23c-2524-4300-b04e-a876d1b5917e + Degree + Degree + false + 0 + + + + + + 6226 + -5646 + 50 + 20 + + + 6252.5 + -5636 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 91b09e93-3db1-453c-a7ab-85af27a7de44 + Periodic + Periodic + false + 0 + + + + + + 6226 + -5626 + 50 + 20 + + + 6252.5 + -5616 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 4795b47d-6054-4761-a02a-efc89890c034 + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + -5606 + 50 + 20 + + + 6252.5 + -5596 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 2d4c983e-934e-44a0-b2e7-29a129a8ab4a + Curve + Curve + false + 0 + + + + + + 6306 + -5666 + 41 + 26 + + + 6328 + -5652.667 + + + + + + + + Curve length + 1a5f5aff-f4bc-4710-8a58-f1eff04fb041 + Length + Length + false + 0 + + + + + + 6306 + -5640 + 41 + 27 + + + 6328 + -5626 + + + + + + + + Curve domain + dc9ad2fc-417a-4a9d-bd7f-0a9ab76a64f9 + Domain + Domain + false + 0 + + + + + + 6306 + -5613 + 41 + 27 + + + 6328 + -5599.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 3b90f506-03a7-4845-877e-09ac198232f8 + Create Material + Create Material + + + + + + 6214 + -5795 + 144 + 104 + + + 6298 + -5743 + + + + + + Colour of the diffuse channel + d6416146-56fa-4859-a97d-036474b70948 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -5793 + 67 + 20 + + + 6251 + -5783 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;191;191;191 + + + + + + + + + + + + Colour of the specular highlight + 3be21f91-257b-4ddd-809e-b97c59a1e0c6 + Specular + Specular + false + 0 + + + + + + 6216 + -5773 + 67 + 20 + + + 6251 + -5763 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + afcc7737-fe73-4a8f-8029-240e0f4cf618 + Emission + Emission + false + 0 + + + + + + 6216 + -5753 + 67 + 20 + + + 6251 + -5743 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + dd2e017e-2211-409f-bfb2-5f7b923e6493 + Transparency + Transparency + false + 0 + + + + + + 6216 + -5733 + 67 + 20 + + + 6251 + -5723 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 8ca0d278-4899-4f7f-884f-b3186faa0d9a + Shine + Shine + false + 0 + + + + + + 6216 + -5713 + 67 + 20 + + + 6251 + -5703 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 2de0e8af-afec-4bf0-823e-b2dafff3bdb0 + Material + Material + false + 0 + + + + + + 6313 + -5793 + 43 + 100 + + + 6336 + -5743 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + bfc4389d-003e-477a-a96e-9be97a11a1fc + Custom Preview + Custom Preview + + + + + + + 6245 + -5861 + 82 + 44 + + + 6313 + -5839 + + + + + + Geometry to preview + true + f12f27a4-d002-4edc-9e54-81dfcdc4c1a8 + Geometry + Geometry + false + 2d4c983e-934e-44a0-b2e7-29a129a8ab4a + 1 + + + + + + 6247 + -5859 + 51 + 20 + + + 6274 + -5849 + + + + + + + + The material override + 3bb5abc7-cf54-4471-8066-2d41bfb8fb34 + Material + Material + false + 2de0e8af-afec-4bf0-823e-b2dafff3bdb0 + 1 + + + + + + 6247 + -5839 + 51 + 20 + + + 6274 + -5829 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 35ed44d6-8925-43ec-b848-693e0c903684 + Quick Graph + Quick Graph + false + 0 + d0988520-fb8a-4880-87d8-c46a3ba97662 + 1 + + + + + + 6211 + -4802 + 150 + 150 + + + 6211.943 + -4801.123 + + -1 + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1308241c-2962-4068-b566-45d7d1464862 + a8fea270-471c-48e4-bdd4-7623c0e7cd42 + 958ac6d9-9913-4b81-897f-75ffbe9ab989 + 961c1ebb-49c2-4cbf-8cf2-32ac040219cc + 80204c84-5344-43cd-b21f-4e8ddcef35db + 4c3c72c8-12c1-4fd5-9fcf-a2eb1519b85c + e9ae8160-d2b3-44ef-86e8-dd7f08b43044 + 1c4524a2-fe06-4646-bca0-dce0e628bf7e + 3070e8c3-c6af-485c-9762-12920d5be194 + cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd + 7df2a155-f92e-4032-9402-a3de64aebbed + cd8b1129-dc7f-420f-9cbb-ca08c2aad9a0 + 9bdde40e-728f-47b3-87a1-6736a31081f9 + aa56f46c-6f3e-4690-bac9-0ddeb1330f60 + 07cdd545-012e-4fbe-9f4c-fdff07d4aacf + 0231341d-45bf-409c-87e1-3076fc8e8826 + f2dce42c-83e7-4b56-80a3-e4a43e6e07d4 + 4ed94f9b-7e1c-4a70-8b7f-8419ec37c771 + 2b198d70-8c2a-4c53-9a11-b9dc1217547c + aca04aaa-78fa-48f3-a017-3850af00a290 + 9d3e4b58-71a4-413c-a6f3-0d2b9c1d2fec + 171063ec-5237-4ea7-8591-b19e096a9321 + e33e647d-9450-4046-b896-0048f321a21a + 8c900630-e962-42e6-9bcf-0396db8b5a73 + 36151706-575a-488b-ace2-509d87b1d1f9 + 386a47b3-046b-4527-91a4-493a35e36bf4 + f5174c61-274d-43ca-9290-d9b4f776ef7e + 2d00c750-9af3-4c5e-8b2d-7c57759944d9 + b3f51329-faea-49ea-adcd-29cd86a36064 + fc6efd46-427a-499f-a829-be384372c26f + 04ffe3f4-78ff-42c3-a738-a29fdc273441 + 2f1b62c4-3c72-4efb-b6bc-6907b9b03362 + 9d31e7c3-a0f9-4c17-ab3b-70600093dee8 + a19b0781-72c8-4017-9220-7ea910e98bea + 34 + a54b3cbc-f22d-4d12-a6d6-5266cc2328f4 + Group + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + 1308241c-2962-4068-b566-45d7d1464862 + Explode + Explode + + + + + + 6218 + -6101 + 136 + 44 + + + 6285 + -6079 + + + + + + Curve to explode + 84b66c15-2163-4bdf-8942-3a850ebbcbcb + Curve + Curve + false + 2d4c983e-934e-44a0-b2e7-29a129a8ab4a + 1 + + + + + + 6220 + -6099 + 50 + 20 + + + 6246.5 + -6089 + + + + + + + + Recursive decomposition until all segments are atomic + 6f07b9d6-ff07-47d7-8c1e-c3c3fed99398 + Recursive + Recursive + false + 0 + + + + + + 6220 + -6079 + 50 + 20 + + + 6246.5 + -6069 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + f070400f-56ab-4dff-92cb-7953269051bd + Segments + Segments + false + 0 + + + + + + 6300 + -6099 + 52 + 20 + + + 6327.5 + -6089 + + + + + + + + 1 + Vertices of the exploded segments + 10d8cd2f-9fe7-45ea-a324-767a775d866e + Vertices + Vertices + false + 0 + + + + + + 6300 + -6079 + 52 + 20 + + + 6327.5 + -6069 + + + + + + + + + + + + 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 + a8fea270-471c-48e4-bdd4-7623c0e7cd42 + Evaluate Length + Evaluate Length + + + + + + 6214 + -6184 + 144 + 64 + + + 6288 + -6152 + + + + + + Curve to evaluate + 17055edc-6681-4943-b2e8-8dcfd49c7734 + Curve + Curve + false + f070400f-56ab-4dff-92cb-7953269051bd + 1 + + + + + + 6216 + -6182 + 57 + 20 + + + 6246 + -6172 + + + + + + + + Length factor for curve evaluation + a98a94ba-5288-4f47-a53c-9bc6eb320472 + Length + Length + false + 0 + + + + + + 6216 + -6162 + 57 + 20 + + + 6246 + -6152 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 894300cd-14b4-4e01-a6fe-34cc46327189 + Normalized + Normalized + false + 0 + + + + + + 6216 + -6142 + 57 + 20 + + + 6246 + -6132 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 87c2e57e-fdf9-4263-ac42-540d9ff33849 + Point + Point + false + 0 + + + + + + 6303 + -6182 + 53 + 20 + + + 6331 + -6172 + + + + + + + + Tangent vector at the specified length + 4fe1a3cf-c94a-4503-afd2-0c1c91b9b644 + Tangent + Tangent + false + 0 + + + + + + 6303 + -6162 + 53 + 20 + + + 6331 + -6152 + + + + + + + + Curve parameter at the specified length + d24a78ed-36fc-401a-adac-a3b3d6765bf8 + Parameter + Parameter + false + 0 + + + + + + 6303 + -6142 + 53 + 20 + + + 6331 + -6132 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + 958ac6d9-9913-4b81-897f-75ffbe9ab989 + Line SDL + Line SDL + + + + + + 6225 + -7817 + 122 + 64 + + + 6305 + -7785 + + + + + + Line start point + 9c203306-8b9f-44cd-8942-72cd1484e37e + Start + Start + false + 87c2e57e-fdf9-4263-ac42-540d9ff33849 + 1 + + + + + + 6227 + -7815 + 63 + 20 + + + 6268 + -7805 + + + + + + + + Line tangent (direction) + f2fd5222-af76-4b7d-be00-579a3c73a939 + Direction + Direction + false + fcf27be5-b427-45c1-b24f-cbf8135f7f97 + 1 + + + + + + 6227 + -7795 + 63 + 20 + + + 6268 + -7785 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + 2ea24c5c-ea15-4a02-ac05-5213e6b94487 + ABS(X) + Length + Length + false + 87effdc3-1db3-44be-a60c-47c080041ccc + 1 + + + + + + 6227 + -7775 + 63 + 20 + + + 6268 + -7765 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + 40b16fd8-48f8-4d60-821d-5065fdcfec6d + Line + Line + false + 0 + + + + + + 6320 + -7815 + 25 + 60 + + + 6334 + -7785 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + 961c1ebb-49c2-4cbf-8cf2-32ac040219cc + Relative Differences + Relative Differences + + + + + + 6222 + -6527 + 128 + 28 + + + 6275 + -6513 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + e396510a-9c1b-41fa-8a30-92dcb605c1b7 + Values + Values + false + 2dc315f1-937b-49c1-8440-26fcaa4e2613 + 1 + + + + + + 6224 + -6525 + 36 + 24 + + + 6243.5 + -6513 + + + + + + + + 1 + Differences between consecutive items + 8ed46bd9-dbfb-47b6-886d-e69c82c27480 + Differenced + Differenced + false + 0 + + + + + + 6290 + -6525 + 58 + 24 + + + 6320.5 + -6513 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + 80204c84-5344-43cd-b21f-4e8ddcef35db + Replace Nulls + Replace Nulls + + + + + + 6218 + -6471 + 136 + 44 + + + 6304 + -6449 + + + + + + 1 + Items to test for null + aa406f5c-7722-4339-bb20-764b0e9e67eb + Items + Items + false + 3070e8c3-c6af-485c-9762-12920d5be194 + 1 + + + + + + 6220 + -6469 + 69 + 20 + + + 6256 + -6459 + + + + + + + + 1 + Items to replace nulls with + da9a0618-63d2-47b5-8196-b50d7e9599b3 + Replacements + Replacements + false + 0 + + + + + + 6220 + -6449 + 69 + 20 + + + 6256 + -6439 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 2dc315f1-937b-49c1-8440-26fcaa4e2613 + Items + Items + false + 0 + + + + + + 6319 + -6469 + 33 + 20 + + + 6337 + -6459 + + + + + + + + Number of items replaced + f4905248-6e0a-406e-9bde-17fce7e324ca + Count + Count + false + 0 + + + + + + 6319 + -6449 + 33 + 20 + + + 6337 + -6439 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + 4c3c72c8-12c1-4fd5-9fcf-a2eb1519b85c + List Length + List Length + + + + + + 6240 + -6576 + 93 + 28 + + + 6279 + -6562 + + + + + + 1 + Base list + a20188e8-c005-4c13-87de-593229e8ee33 + List + List + false + 8ed46bd9-dbfb-47b6-886d-e69c82c27480 + 1 + + + + + + 6242 + -6574 + 22 + 24 + + + 6254.5 + -6562 + + + + + + + + Number of items in L + 1acd961a-3cff-4355-8cf9-8a4a379aceba + Length + Length + false + 0 + + + + + + 6294 + -6574 + 37 + 24 + + + 6314 + -6562 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + e9ae8160-d2b3-44ef-86e8-dd7f08b43044 + List Item + List Item + + + + + + 6249 + -6739 + 74 + 64 + + + 6297 + -6707 + + + + + + 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 + ad213ae7-b71e-4039-a0d6-459b28da0125 + List + List + false + 8ed46bd9-dbfb-47b6-886d-e69c82c27480 + 1 + + + + + + 6251 + -6737 + 31 + 20 + + + 6268 + -6727 + + + + + + + + Item index + 76e8c08d-2fcd-4fb3-9fe2-37fe4031ebd3 + Index + Index + false + 10595e98-3151-4b9c-a11b-a6c0545e7005 + 1 + + + + + + 6251 + -6717 + 31 + 20 + + + 6268 + -6707 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 624287d8-7c98-4eed-b1a1-6d8388a5623b + Wrap + Wrap + false + 0 + + + + + + 6251 + -6697 + 31 + 20 + + + 6268 + -6687 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 61241945-3657-40a8-9e15-c514dc213b14 + false + Item + i + false + 0 + + + + + + 6312 + -6737 + 9 + 60 + + + 6318 + -6707 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + 1c4524a2-fe06-4646-bca0-dce0e628bf7e + Series + Series + + + + + + 6228 + -6657 + 117 + 64 + + + 6294 + -6625 + + + + + + First number in the series + da14d6ed-fdc7-4f8c-ace8-21f9ebf4dca5 + Start + Start + false + 0 + + + + + + 6230 + -6655 + 49 + 20 + + + 6264 + -6645 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + 843aca86-f378-48f1-a0f9-83f2a2449e56 + Step + Step + false + 0 + + + + + + 6230 + -6635 + 49 + 20 + + + 6264 + -6625 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + baf6dd11-b467-40b4-b007-16b1285574bb + X-1 + Count + Count + false + 1acd961a-3cff-4355-8cf9-8a4a379aceba + 1 + + + + + + 6230 + -6615 + 49 + 20 + + + 6264 + -6605 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 10595e98-3151-4b9c-a11b-a6c0545e7005 + Series + Series + false + 0 + + + + + + 6309 + -6655 + 34 + 60 + + + 6327.5 + -6625 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3070e8c3-c6af-485c-9762-12920d5be194 + Relay + + false + e6c3b639-be98-4559-b61b-0cb8773ea56a + 1 + + + + + + 6266 + -6408 + 40 + 16 + + + 6286 + -6400 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd + Relay + + false + 61241945-3657-40a8-9e15-c514dc213b14 + 1 + + + + + + 6266 + -6772 + 40 + 16 + + + 6286 + -6764 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 961c1ebb-49c2-4cbf-8cf2-32ac040219cc + 80204c84-5344-43cd-b21f-4e8ddcef35db + 4c3c72c8-12c1-4fd5-9fcf-a2eb1519b85c + e9ae8160-d2b3-44ef-86e8-dd7f08b43044 + 1c4524a2-fe06-4646-bca0-dce0e628bf7e + 3070e8c3-c6af-485c-9762-12920d5be194 + cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd + 7 + 7df2a155-f92e-4032-9402-a3de64aebbed + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + cd8b1129-dc7f-420f-9cbb-ca08c2aad9a0 + Curve Closest Point + Curve Closest Point + + + + + + 6226 + -6272 + 120 + 64 + + + 6276 + -6240 + + + + + + Point to project onto curve + 8c8e447e-c40a-406f-a912-0af9d9418158 + Point + Point + false + 87c2e57e-fdf9-4263-ac42-540d9ff33849 + 1 + + + + + + 6228 + -6270 + 33 + 30 + + + 6246 + -6255 + + + + + + + + Curve to project onto + b537d0fc-1b99-4cee-8f72-2e5ec93517fc + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + -6240 + 33 + 30 + + + 6246 + -6225 + + + + + + + + Point on the curve closest to the base point + 831efa09-2268-4b48-8fe9-85e41869626d + Point + Point + false + 0 + + + + + + 6291 + -6270 + 53 + 20 + + + 6319 + -6260 + + + + + + + + Parameter on curve domain of closest point + 58908568-231c-4f5a-a6fa-c73247c8394d + Parameter + Parameter + false + 0 + + + + + + 6291 + -6250 + 53 + 20 + + + 6319 + -6240 + + + + + + + + Distance between base point and curve + 077c9b67-e237-4348-a44d-58f3526da86d + Distance + Distance + false + 0 + + + + + + 6291 + -6230 + 53 + 20 + + + 6319 + -6220 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + 9bdde40e-728f-47b3-87a1-6736a31081f9 + Line + Line + + + + + + 6229 + -6351 + 114 + 44 + + + 6301 + -6329 + + + + + + Line start point + 8c01a364-354b-4123-bf8e-788ab7e9668d + Start Point + Start Point + false + 831efa09-2268-4b48-8fe9-85e41869626d + 1 + + + + + + 6231 + -6349 + 55 + 20 + + + 6260 + -6339 + + + + + + + + Line end point + 5efbcafb-a8b1-40c9-b013-b98ca6404b11 + End Point + End Point + false + 87c2e57e-fdf9-4263-ac42-540d9ff33849 + 1 + + + + + + 6231 + -6329 + 55 + 20 + + + 6260 + -6319 + + + + + + + + Line segment + fcf27be5-b427-45c1-b24f-cbf8135f7f97 + Line + Line + false + 0 + + + + + + 6316 + -6349 + 25 + 40 + + + 6330 + -6329 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + aa56f46c-6f3e-4690-bac9-0ddeb1330f60 + Remap Numbers + Remap Numbers + + + + + + 6229 + -7515 + 115 + 64 + + + 6284 + -7483 + + + + + + Value to remap + a009a06f-b744-4641-ba39-6da744dd1786 + Value + Value + false + 0231341d-45bf-409c-87e1-3076fc8e8826 + 1 + + + + + + 6231 + -7513 + 38 + 20 + + + 6251.5 + -7503 + + + + + + + + Source domain + 51661fa8-76c5-4297-97bf-8f29aab2e0df + Source + Source + false + cf3276c6-3ff8-495e-a18b-a4cb62aa8de4 + 1 + + + + + + 6231 + -7493 + 38 + 20 + + + 6251.5 + -7483 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + 36c42bd1-a6da-42bd-997c-a90c8e12ecc6 + Target + Target + false + 0 + + + + + + 6231 + -7473 + 38 + 20 + + + 6251.5 + -7463 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 67317794-b31b-4918-b9c9-2d691c779c86 + Mapped + Mapped + false + 0 + + + + + + 6299 + -7513 + 43 + 30 + + + 6322 + -7498 + + + + + + + + Remapped and clipped number + ff60aaf9-df97-4f6d-a707-99d226930fff + Clipped + Clipped + false + 0 + + + + + + 6299 + -7483 + 43 + 30 + + + 6322 + -7468 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 07cdd545-012e-4fbe-9f4c-fdff07d4aacf + Bounds + Bounds + + + + + + 6225 + -7433 + 122 + 28 + + + 6289 + -7419 + + + + + + 1 + Numbers to include in Bounds + b43a60e6-0f51-4858-a517-0336714d6020 + Numbers + Numbers + false + 0231341d-45bf-409c-87e1-3076fc8e8826 + 1 + + + + + + 6227 + -7431 + 47 + 24 + + + 6252 + -7419 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + cf3276c6-3ff8-495e-a18b-a4cb62aa8de4 + Domain + Domain + false + 0 + + + + + + 6304 + -7431 + 41 + 24 + + + 6326 + -7419 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 0231341d-45bf-409c-87e1-3076fc8e8826 + Relay + + false + cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd + 1 + + + + + + 6266 + -7386 + 40 + 16 + + + 6286 + -7378 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + f2dce42c-83e7-4b56-80a3-e4a43e6e07d4 + Multiplication + Multiplication + + + + + + 6245 + -7714 + 82 + 44 + + + 6276 + -7692 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + bec89cf1-2842-4210-aad3-6cd6bcb1e28b + A + A + true + 52b7c6f1-d950-441f-8e93-4956fa73de0d + 1 + + + + + + 6247 + -7712 + 14 + 20 + + + 6255.5 + -7702 + + + + + + + + Second item for multiplication + 21938a22-f620-42c1-acc9-b66acd85598d + B + B + true + aca04aaa-78fa-48f3-a017-3850af00a290 + 1 + + + + + + 6247 + -7692 + 14 + 20 + + + 6255.5 + -7682 + + + + + + + + Result of multiplication + 87effdc3-1db3-44be-a60c-47c080041ccc + Result + Result + false + 0 + + + + + + 6291 + -7712 + 34 + 40 + + + 6309.5 + -7692 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 4ed94f9b-7e1c-4a70-8b7f-8419ec37c771 + Multiplication + Multiplication + + + + + + 6245 + -7607 + 82 + 44 + + + 6276 + -7585 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 09709c5b-c364-4326-9e31-4fd54c00a30b + A + A + true + 2b198d70-8c2a-4c53-9a11-b9dc1217547c + 1 + + + + + + 6247 + -7605 + 14 + 20 + + + 6255.5 + -7595 + + + + + + + + Second item for multiplication + 30ed3759-f0cc-4b6c-a2c5-e4165e9733c4 + B + B + true + 67317794-b31b-4918-b9c9-2d691c779c86 + 1 + + + + + + 6247 + -7585 + 14 + 20 + + + 6255.5 + -7575 + + + + + + + + Result of multiplication + 52b7c6f1-d950-441f-8e93-4956fa73de0d + Result + Result + false + 0 + + + + + + 6291 + -7605 + 34 + 40 + + + 6309.5 + -7585 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2b198d70-8c2a-4c53-9a11-b9dc1217547c + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + -7542 + 40 + 16 + + + 6286 + -7534 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + aca04aaa-78fa-48f3-a017-3850af00a290 + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.1250000000 + + + + + + 6162 + -7645 + 250 + 20 + + + 6162.252 + -7644.875 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + aa56f46c-6f3e-4690-bac9-0ddeb1330f60 + 07cdd545-012e-4fbe-9f4c-fdff07d4aacf + 0231341d-45bf-409c-87e1-3076fc8e8826 + f2dce42c-83e7-4b56-80a3-e4a43e6e07d4 + 4ed94f9b-7e1c-4a70-8b7f-8419ec37c771 + 2b198d70-8c2a-4c53-9a11-b9dc1217547c + aca04aaa-78fa-48f3-a017-3850af00a290 + 7 + 9d3e4b58-71a4-413c-a6f3-0d2b9c1d2fec + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 1308241c-2962-4068-b566-45d7d1464862 + a8fea270-471c-48e4-bdd4-7623c0e7cd42 + cd8b1129-dc7f-420f-9cbb-ca08c2aad9a0 + 9bdde40e-728f-47b3-87a1-6736a31081f9 + 4 + 171063ec-5237-4ea7-8591-b19e096a9321 + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + e33e647d-9450-4046-b896-0048f321a21a + true + Expression + Expression + + + + + + 6189 + -6872 + 194 + 28 + + + 6289 + -6858 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + ff9dfa1f-21c2-432c-a942-4b34609d3eb7 + true + Variable O + O + true + 386a47b3-046b-4527-91a4-493a35e36bf4 + 1 + + + + + + 6191 + -6870 + 14 + 24 + + + 6199.5 + -6858 + + + + + + + + Result of expression + ceeb1113-33ff-40ec-9d7b-aa24cd58448f + true + Result + + false + 0 + + + + + + 6372 + -6870 + 9 + 24 + + + 6378 + -6858 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8c900630-e962-42e6-9bcf-0396db8b5a73 + Panel + + false + 1 + ceeb1113-33ff-40ec-9d7b-aa24cd58448f + 1 + Double click to edit panel content… + + + + + + 6194 + -7142 + 185 + 271 + + 0 + 0 + 0 + + 6194.771 + -7141.563 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 36151706-575a-488b-ace2-509d87b1d1f9 + Relay + + false + 8c900630-e962-42e6-9bcf-0396db8b5a73 + 1 + + + + + + 6266 + -7181 + 40 + 16 + + + 6286 + -7173 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 386a47b3-046b-4527-91a4-493a35e36bf4 + Relay + + false + cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd + 1 + + + + + + 6266 + -6825 + 40 + 16 + + + 6286 + -6817 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + e33e647d-9450-4046-b896-0048f321a21a + 8c900630-e962-42e6-9bcf-0396db8b5a73 + 36151706-575a-488b-ace2-509d87b1d1f9 + 386a47b3-046b-4527-91a4-493a35e36bf4 + 4 + f5174c61-274d-43ca-9290-d9b4f776ef7e + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 2d00c750-9af3-4c5e-8b2d-7c57759944d9 + Create Material + Create Material + + + + + + 6214 + -7943 + 144 + 104 + + + 6298 + -7891 + + + + + + Colour of the diffuse channel + ca5440e2-1d83-4704-9141-7c3221461df3 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -7941 + 67 + 20 + + + 6251 + -7931 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;209;209;209 + + + + + + + + + + + + Colour of the specular highlight + de98cf8e-284e-447b-b163-2dcdde4b8add + Specular + Specular + false + 0 + + + + + + 6216 + -7921 + 67 + 20 + + + 6251 + -7911 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + d6daeb95-1a5f-4ac5-aa4e-12fc783ddc79 + Emission + Emission + false + 0 + + + + + + 6216 + -7901 + 67 + 20 + + + 6251 + -7891 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 2cf4bcc8-ff91-4c20-9cc8-79f6767ce565 + Transparency + Transparency + false + 0 + + + + + + 6216 + -7881 + 67 + 20 + + + 6251 + -7871 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 6014115b-e3e9-42b7-b7a5-03fac843e8f5 + Shine + Shine + false + 0 + + + + + + 6216 + -7861 + 67 + 20 + + + 6251 + -7851 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 36056e93-9eb5-41a2-a254-71bf04f57616 + Material + Material + false + 0 + + + + + + 6313 + -7941 + 43 + 100 + + + 6336 + -7891 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + b3f51329-faea-49ea-adcd-29cd86a36064 + Custom Preview + Custom Preview + + + + + + + 6245 + -8014 + 82 + 44 + + + 6313 + -7992 + + + + + + Geometry to preview + true + bf73d6f1-f7d4-41ce-b643-9a8cdbde9cda + Geometry + Geometry + false + 40b16fd8-48f8-4d60-821d-5065fdcfec6d + 1 + + + + + + 6247 + -8012 + 51 + 20 + + + 6274 + -8002 + + + + + + + + The material override + 4f5580cf-7a9c-40f1-9f0f-4b8fc2e5b6df + Material + Material + false + 36056e93-9eb5-41a2-a254-71bf04f57616 + 1 + + + + + + 6247 + -7992 + 51 + 20 + + + 6274 + -7982 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + fc6efd46-427a-499f-a829-be384372c26f + Evaluate Length + Evaluate Length + + + + + + 6214 + -8102 + 144 + 64 + + + 6288 + -8070 + + + + + + Curve to evaluate + f86a4022-b4f1-4fe0-95aa-53535936343b + Curve + Curve + false + 40b16fd8-48f8-4d60-821d-5065fdcfec6d + 1 + + + + + + 6216 + -8100 + 57 + 20 + + + 6246 + -8090 + + + + + + + + Length factor for curve evaluation + 7331f110-8f4d-4e17-a4cf-247ae9608d72 + Length + Length + false + 0 + + + + + + 6216 + -8080 + 57 + 20 + + + 6246 + -8070 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 8ce6724a-ade1-4233-9a81-208d70100e3b + Normalized + Normalized + false + 0 + + + + + + 6216 + -8060 + 57 + 20 + + + 6246 + -8050 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 3cc46efa-2029-4b22-b262-271a97d8b4b7 + Point + Point + false + 0 + + + + + + 6303 + -8100 + 53 + 20 + + + 6331 + -8090 + + + + + + + + Tangent vector at the specified length + f6d5bae7-3bd4-42f7-aeba-5e2e9bb52c93 + Tangent + Tangent + false + 0 + + + + + + 6303 + -8080 + 53 + 20 + + + 6331 + -8070 + + + + + + + + Curve parameter at the specified length + 588c94c0-0234-4576-b7f7-9cc30987e635 + Parameter + Parameter + false + 0 + + + + + + 6303 + -8060 + 53 + 20 + + + 6331 + -8050 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + 04ffe3f4-78ff-42c3-a738-a29fdc273441 + Interpolate + Interpolate + + + + + + 6224 + -8207 + 125 + 84 + + + 6291 + -8165 + + + + + + 1 + Interpolation points + dab7c0d2-665d-4dcd-9e1a-c62fdf547617 + Vertices + Vertices + false + 3cc46efa-2029-4b22-b262-271a97d8b4b7 + 1 + + + + + + 6226 + -8205 + 50 + 20 + + + 6252.5 + -8195 + + + + + + + + Curve degree + c0675ebb-366d-4dab-a5ee-9398fa60ef9f + Degree + Degree + false + 0 + + + + + + 6226 + -8185 + 50 + 20 + + + 6252.5 + -8175 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + 8b214947-ba42-4f22-8538-e7f135f7f9fb + Periodic + Periodic + false + 0 + + + + + + 6226 + -8165 + 50 + 20 + + + 6252.5 + -8155 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 2aaa7a26-cc14-4ee1-a8cd-c9e22e6de68c + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + -8145 + 50 + 20 + + + 6252.5 + -8135 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 47bb6750-4689-4dee-a789-6addc1196d99 + Curve + Curve + false + 0 + + + + + + 6306 + -8205 + 41 + 26 + + + 6328 + -8191.667 + + + + + + + + Curve length + f55d29a9-5818-4cf4-bfc9-18c4725daf94 + Length + Length + false + 0 + + + + + + 6306 + -8179 + 41 + 27 + + + 6328 + -8165 + + + + + + + + Curve domain + fa717750-8b0d-4925-bb3e-6a96922cbe79 + Domain + Domain + false + 0 + + + + + + 6306 + -8152 + 41 + 27 + + + 6328 + -8138.333 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 2f1b62c4-3c72-4efb-b6bc-6907b9b03362 + Create Material + Create Material + + + + + + 6214 + -8334 + 144 + 104 + + + 6298 + -8282 + + + + + + Colour of the diffuse channel + 1b6e2c57-bd7f-4257-9909-84ce6122e77f + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -8332 + 67 + 20 + + + 6251 + -8322 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;184;184;184 + + + + + + + + + + + + Colour of the specular highlight + 3a556404-917a-4d5d-88fe-0694ee1fff6a + Specular + Specular + false + 0 + + + + + + 6216 + -8312 + 67 + 20 + + + 6251 + -8302 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + b13f207f-69a0-4b6e-b052-65379edecbc5 + Emission + Emission + false + 0 + + + + + + 6216 + -8292 + 67 + 20 + + + 6251 + -8282 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + ccc10db1-9fb1-4a0f-bbe1-2b3846a4f466 + Transparency + Transparency + false + 0 + + + + + + 6216 + -8272 + 67 + 20 + + + 6251 + -8262 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 538fe4ae-0547-4b84-ae48-c38070db9dc7 + Shine + Shine + false + 0 + + + + + + 6216 + -8252 + 67 + 20 + + + 6251 + -8242 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + e9915b03-65e0-4474-8435-6dcd2f155350 + Material + Material + false + 0 + + + + + + 6313 + -8332 + 43 + 100 + + + 6336 + -8282 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 9d31e7c3-a0f9-4c17-ab3b-70600093dee8 + Custom Preview + Custom Preview + + + + + + + 6245 + -8400 + 82 + 44 + + + 6313 + -8378 + + + + + + Geometry to preview + true + 7cade903-c127-4855-a6fa-5db79b29e99a + Geometry + Geometry + false + 47bb6750-4689-4dee-a789-6addc1196d99 + 1 + + + + + + 6247 + -8398 + 51 + 20 + + + 6274 + -8388 + + + + + + + + The material override + 140b8192-b168-4d12-a549-929d261b4ab8 + Material + Material + false + e9915b03-65e0-4474-8435-6dcd2f155350 + 1 + + + + + + 6247 + -8378 + 51 + 20 + + + 6274 + -8368 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + a19b0781-72c8-4017-9220-7ea910e98bea + Quick Graph + Quick Graph + false + 0 + 386a47b3-046b-4527-91a4-493a35e36bf4 + 1 + + + + + + 6211 + -7339 + 150 + 150 + + + 6211.591 + -7338.085 + + -1 + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 720b7ef5-fbd3-48d0-8025-e7492b3415ef + true + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 7328 + 7584 + 50 + 24 + + + 7353.14 + 7596.077 + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + 9e7ab47a-7f1e-448b-8882-17f60f8f6723 + true + Deconstruct + Deconstruct + + + + + + 7278 + 7161 + 148 + 64 + + + 7325 + 7193 + + + + + + Input point + 10745400-38e4-4d99-9431-1bb9626dbb84 + true + Point + Point + false + b81176c2-3d33-4b8d-8686-95d439be7674 + 1 + + + + + + 7280 + 7163 + 30 + 60 + + + 7296.5 + 7193 + + + + + + + + Point {x} component + 7e1801a8-0ab9-484d-b375-9ebaccb36026 + true + 2 + X component + X component + false + 0 + + + + + + 7340 + 7163 + 84 + 20 + + + 7375.5 + 7173 + + + + + + + + Point {y} component + 2f2e7b45-94dd-4604-bd63-d1bbcb709ab7 + true + 2 + Y component + Y component + false + 0 + + + + + + 7340 + 7183 + 84 + 20 + + + 7375.5 + 7193 + + + + + + + + Point {z} component + 60eb8c97-35a0-4b6c-af4a-717168232886 + true + Z component + Z component + false + 0 + + + + + + 7340 + 7203 + 84 + 20 + + + 7375.5 + 7213 + + + + + + + + + + + + 2162e72e-72fc-4bf8-9459-d4d82fa8aa14 + Divide Curve + + + + + Divide a curve into equal length segments + true + e76f8c93-560c-4e97-8c8a-227e39ecb1ce + true + Divide Curve + Divide Curve + + + + + + 7290 + 7496 + 125 + 64 + + + 7340 + 7528 + + + + + + Curve to divide + 72e31a03-8a0a-4d3b-93e0-bbac23f024de + true + Curve + Curve + false + 720b7ef5-fbd3-48d0-8025-e7492b3415ef + 1 + + + + + + 7292 + 7498 + 33 + 20 + + + 7310 + 7508 + + + + + + + + Number of segments + ab1ee790-45e3-4464-8cc6-5c21b4c31f19 + true + Count + Count + false + 6fb2498f-84c7-467d-b9a7-bd134fb584df + 1 + + + + + + 7292 + 7518 + 33 + 20 + + + 7310 + 7528 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + Split segments at kinks + d0da16b2-bc0f-41f3-bd94-fcba6d3bc85f + true + Kinks + Kinks + false + 0 + + + + + + 7292 + 7538 + 33 + 20 + + + 7310 + 7548 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + 1 + Division points + b81176c2-3d33-4b8d-8686-95d439be7674 + true + Points + Points + false + 0 + + + + + + 7355 + 7498 + 58 + 20 + + + 7385.5 + 7508 + + + + + + + + 1 + Tangent vectors at division points + d9e33f24-8c99-4039-b574-338ee183a50b + true + Tangents + Tangents + false + 0 + + + + + + 7355 + 7518 + 58 + 20 + + + 7385.5 + 7528 + + + + + + + + 1 + Parameter values at division points + 6aa03082-1247-4d15-966f-8082404943d9 + true + Parameters + Parameters + false + 0 + + + + + + 7355 + 7538 + 58 + 20 + + + 7385.5 + 7548 + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + ff08f798-2378-46c0-bc9b-e6e1ec51ecb3 + true + Panel + + false + 1 + 032aa8dd-74a1-4650-af2e-64082858a6e4 + 1 + Double click to edit panel content… + + + + + + 7267 + 6530 + 172 + 292 + + 0 + 0 + 0 + + 7267.057 + 6530.963 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b5262d2b-18d7-4e8f-b0e1-baf031a2d6c9 + true + Panel + + false + 1 + 94090c27-4166-49e3-ba19-94153b87d5ed + 1 + Double click to edit panel content… + + + + + + 6922 + 6530 + 172 + 292 + + 0 + 0 + 0 + + 6922.335 + 6530.227 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 2013e425-8713-42e2-a661-b57e78840337 + Concatenate + + + + + Concatenate some fragments of text + true + 2758f6ee-d584-41d5-8d8f-0433392faec8 + true + Concatenate + Concatenate + + + + + + 7306 + 6414 + 93 + 104 + + + 7332 + 6466 + + + + + + 5 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 1 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + + + + + First text fragment + 393d2d57-bd3e-480b-8493-4ba0c3247d06 + true + Fragment A + + true + b5262d2b-18d7-4e8f-b0e1-baf031a2d6c9 + 1 + + + + + + 7308 + 6416 + 9 + 20 + + + 7314 + 6426 + + + + + + + + Second text fragment + 47a98b51-366c-487a-9eec-e5331b143586 + true + Fragment B + + true + 230c16d8-9433-441f-85a5-9edfeab8583f + 1 + + + + + + 7308 + 6436 + 9 + 20 + + + 7314 + 6446 + + + + + + + + Third text fragment + c44ddbdf-bccc-4bdc-a99a-40f6b9d52f22 + true + Fragment A + + true + ff08f798-2378-46c0-bc9b-e6e1ec51ecb3 + 1 + + + + + + 7308 + 6456 + 9 + 20 + + + 7314 + 6466 + + + + + + + + Additional text fragment + c5014cd3-55e9-4e8f-8d5e-39d436b73c5c + true + Fragment A + + true + 8b6600df-0a05-46f8-beab-8523131a78ad + 1 + + + + + + 7308 + 6476 + 9 + 20 + + + 7314 + 6486 + + + + + + + + Additional text fragment + f4a65622-0959-4ea4-a869-83d0f995a4bf + true + Fragment B + + true + be577fe6-7f55-490c-b952-4f0b5b6edbc7 + 1 + + + + + + 7308 + 6496 + 9 + 20 + + + 7314 + 6506 + + + + + + + + Resulting text consisting of all the fragments + daf02cb4-e391-4362-9b4a-00162ca7a95e + true + 1 + Result + Result + false + 0 + + + + + + 7347 + 6416 + 50 + 100 + + + 7365.5 + 6466 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 68303754-b67c-4d15-9e18-ea72b69f4cb0 + true + Panel + + false + 1 + daf02cb4-e391-4362-9b4a-00162ca7a95e + 1 + Double click to edit panel content… + + + + + + 7111 + 6119 + 483 + 292 + + 0 + 0 + 0 + + 7111.019 + 6119.875 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + true + d6af4631-8d05-42db-bb10-b2f48a1f6f1c + true + List Length + List Length + + + + + + 7306 + 7022 + 93 + 28 + + + 7345 + 7036 + + + + + + 1 + Base list + 80a19d54-fa26-4c16-9a02-352bbf27caa8 + true + List + List + false + b81176c2-3d33-4b8d-8686-95d439be7674 + 1 + + + + + + 7308 + 7024 + 22 + 24 + + + 7320.5 + 7036 + + + + + + + + Number of items in L + a2cb817d-5fcf-49e2-bdc8-78bb5d460cb9 + true + Length + Length + false + 0 + + + + + + 7360 + 7024 + 37 + 24 + + + 7380 + 7036 + + + + + + + + + + + + dd8134c0-109b-4012-92be-51d843edfff7 + Duplicate Data + + + + + Duplicate data a predefined number of times. + true + 5c2a2265-4f7f-4aed-8a19-61a752409cd1 + true + Duplicate Data + Duplicate Data + + + + + + 7282 + 6939 + 140 + 64 + + + 7341 + 6971 + + + + + + 1 + Data to duplicate + ead9114d-f7be-419c-a3e3-97008b877a2f + true + Data + Data + false + 0 + + + + + + 7284 + 6941 + 42 + 20 + + + 7306.5 + 6951 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_String + false + , + + + + + + + + + + + Number of duplicates + 96fe369b-d71c-4cf9-8d5b-0c8e1d4e5840 + true + Number + Number + false + a2cb817d-5fcf-49e2-bdc8-78bb5d460cb9 + 1 + + + + + + 7284 + 6961 + 42 + 20 + + + 7306.5 + 6971 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Retain list order + 13ed6aee-4aad-44ef-9c00-9e52ed2760c2 + true + Order + Order + false + 0 + + + + + + 7284 + 6981 + 42 + 20 + + + 7306.5 + 6991 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Duplicated data + 718f51ff-f52b-4370-9fe5-616bca6dcdf3 + true + 2 + Data + Data + false + true + 0 + + + + + + 7356 + 6941 + 64 + 60 + + + 7371.5 + 6971 + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",X) + true + 3c1860bc-efcf-42cd-9195-917fb8c8596c + true + Expression + Expression + + + + + + 7235 + 7115 + 235 + 28 + + + 7335 + 7129 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 7c6d27c0-4e35-450f-9b24-925bbe1f83d2 + true + Variable X + X + true + 7e1801a8-0ab9-484d-b375-9ebaccb36026 + 1 + + + + + + 7237 + 7117 + 14 + 24 + + + 7245.5 + 7129 + + + + + + + + Result of expression + 94090c27-4166-49e3-ba19-94153b87d5ed + true + Result + Result + false + true + 0 + + + + + + 7418 + 7117 + 50 + 24 + + + 7436.5 + 7129 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",Y) + true + f74792b6-4e0d-4631-9435-7c415d416f39 + true + Expression + Expression + + + + + + 7235 + 6892 + 234 + 28 + + + 7334 + 6906 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + be8b86ec-17b1-4201-afe7-2d55f5512b1f + true + Variable Y + Y + true + 2f2e7b45-94dd-4604-bd63-d1bbcb709ab7 + 1 + + + + + + 7237 + 6894 + 13 + 24 + + + 7245 + 6906 + + + + + + + + Result of expression + 032aa8dd-74a1-4650-af2e-64082858a6e4 + true + Result + Result + false + true + 0 + + + + + + 7417 + 6894 + 50 + 24 + + + 7435.5 + 6906 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 230c16d8-9433-441f-85a5-9edfeab8583f + true + Panel + + false + 1 + 718f51ff-f52b-4370-9fe5-616bca6dcdf3 + 1 + Double click to edit panel content… + + + + + + 7094 + 6530 + 172 + 292 + + 0 + 0 + 0 + + 7094.854 + 6530.016 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 3 + + 255;255;255;255 + + A group of Grasshopper objects + 720b7ef5-fbd3-48d0-8025-e7492b3415ef + d8eea3ec-5157-4ac0-92dd-492058fad237 + 59c8374e-36a2-40df-af0f-1946fb9c4c2e + 6a58cb78-3aa0-4c67-9585-8364f6f684f5 + 2aafa1cf-f50a-4433-9467-6e2ba9b0a462 + 2ac06252-6a62-48fb-9825-5298bdbe9536 + 30aa3e57-dd88-4f54-ad69-4b2473594537 + 3662d19c-7316-4361-b4a3-db2bbd218382 + b60eeacc-25e7-4f56-826d-40476555687d + 71a4b562-3bee-43d5-9fb6-1c99bc3cd4cb + ee5295ed-8446-4093-9cff-155530db048a + 10338e33-43fc-4848-9f86-5e4608e349ae + 5c73a0f5-f091-4315-897f-65bd97a0d6aa + 9e7ab47a-7f1e-448b-8882-17f60f8f6723 + e76f8c93-560c-4e97-8c8a-227e39ecb1ce + ff08f798-2378-46c0-bc9b-e6e1ec51ecb3 + b5262d2b-18d7-4e8f-b0e1-baf031a2d6c9 + 2758f6ee-d584-41d5-8d8f-0433392faec8 + 68303754-b67c-4d15-9e18-ea72b69f4cb0 + d6af4631-8d05-42db-bb10-b2f48a1f6f1c + 5c2a2265-4f7f-4aed-8a19-61a752409cd1 + 3c1860bc-efcf-42cd-9195-917fb8c8596c + f74792b6-4e0d-4631-9435-7c415d416f39 + 230c16d8-9433-441f-85a5-9edfeab8583f + 4d7e5df9-f39c-4128-9da9-e404693498d0 + dad66ae8-795d-4c6e-b667-bd160935f854 + 0fe16770-ae9e-44e4-8108-1937a371d1ef + 6fb2498f-84c7-467d-b9a7-bd134fb584df + e27eeebf-1aa5-4a09-8dc1-2e334cd67054 + d0c062fe-01d9-4d03-ba12-3a737be9b519 + 40d60513-415a-4898-aba7-c6061f0579eb + 4082beaa-6ef9-4a07-bb54-4d21225e1230 + 8b6600df-0a05-46f8-beab-8523131a78ad + be577fe6-7f55-490c-b952-4f0b5b6edbc7 + f5dab157-8362-4091-9045-40c4f26e0cdc + bc34d7f6-2984-476e-8869-3befe5696059 + 36 + 5f6713ec-1ddf-457f-a0f7-21cf80f8bcde + Group + + + + + + + + + + + 079bd9bd-54a0-41d4-98af-db999015f63d + VB Script + + + + + A VB.NET scriptable component + true + 4d7e5df9-f39c-4128-9da9-e404693498d0 + true + VB Script + TxtWriter + true + 0 + If activate Then + + Dim i As Integer + Dim aryText(4) As String + + aryText(0) = "Mary WriteLine" + aryText(1) = "Had" + aryText(2) = "Another" + aryText(3) = "Little" + aryText(4) = "One" + + ' the data is appended to the file. If file doesnt exist, a new file is created + Dim objWriter As New System.IO.StreamWriter(filePath, append) + + For i = 0 To data.Count - 1 + objWriter.WriteLine(data(i)) + Next + + objWriter.Close() + + End If + + If clearFile Then + Dim objWriter As New System.IO.StreamWriter(filePath, False) + objWriter.Close() + End If + + + + + + + 7295 + 5951 + 115 + 104 + + + 7371 + 6003 + + + + + + 5 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2 + 2 + 3ede854e-c753-40eb-84cb-b48008f14fd4 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + true + Script Variable filePath + ba41d6ef-53b9-4d48-98af-0c65f00276ed + true + filePath + filePath + true + 0 + true + dad66ae8-795d-4c6e-b667-bd160935f854 + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 7297 + 5953 + 59 + 20 + + + 7336 + 5963 + + + + + + + + 1 + true + Script Variable data + b12058b0-348c-4351-80dc-0e7adb912338 + true + 1 + data + data + true + 1 + true + 68303754-b67c-4d15-9e18-ea72b69f4cb0 + 1 + abf1fd1b-dbe5-4be6-9832-d8dc105e207f + + + + + + 7297 + 5973 + 59 + 20 + + + 7336 + 5983 + + + + + + + + true + Script Variable append + 6a6789a1-cade-46db-b53a-0c0d45f99617 + true + append + append + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 7297 + 5993 + 59 + 20 + + + 7336 + 6003 + + + + + + + + true + Script Variable activate + 305bb8eb-3838-4a79-99c7-8cdb2670681b + true + activate + activate + true + 0 + true + 0fe16770-ae9e-44e4-8108-1937a371d1ef + 1 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 7297 + 6013 + 59 + 20 + + + 7336 + 6023 + + + + + + + + true + Script Variable clearFile + 1e497f8f-9488-4905-9482-88aa9a8d70fc + true + clearFile + clearFile + true + 0 + true + 0 + 3cda2745-22ac-4244-9b04-97a5255fa60f + + + + + + 7297 + 6033 + 59 + 20 + + + 7336 + 6043 + + + + + + + + Print, Reflect and Error streams + 3d0fb621-53b2-4d43-b25f-8bd6a8ffe313 + true + out + out + false + 0 + + + + + + 7386 + 5953 + 22 + 50 + + + 7398.5 + 5978 + + + + + + + + Output parameter A + 308a7b73-79c1-4b73-9a21-cbef25cd8545 + true + A + A + false + 0 + + + + + + 7386 + 6003 + 22 + 50 + + + 7398.5 + 6028 + + + + + + + + + + + + + + 06953bda-1d37-4d58-9b38-4b3c74e54c8f + File Path + + + + + Contains a collection of file paths + false + All files|*.* + dad66ae8-795d-4c6e-b667-bd160935f854 + true + File Path + File Path + false + 0 + + + + + + 7327 + 6076 + 50 + 24 + + + 7352.856 + 6088.706 + + + + + + 1 + + + + + 1 + {0} + + + + + false + C:\VSC.O____STNEMGES_215____ERUTAWRUC_RAENIL_DEPAM_EMIT_1_HTOMS_LEVEL_4_DIOMGIS_NOITISNART_EGDE_LUF____O____FUL_EDGE_TRANSITION_SIGMOID_4_LEVEL_SMOTH_1_TIME_MAPED_LINEAR_CURWATURE____512_SEGMENTS____O.CSV + + + + + + + + + + + + + a8b97322-2d53-47cd-905e-b932c3ccd74e + Button + + + + + Button object with two values + False + True + 0fe16770-ae9e-44e4-8108-1937a371d1ef + true + Button + + false + 0 + + + + + + 7316 + 5907 + 66 + 22 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 6fb2498f-84c7-467d-b9a7-bd134fb584df + true + Number + Number + false + 7cfc4d2b-6fbd-4b48-933d-14b29d293cc5 + 1 + + + + + + 7328 + 7633 + 50 + 24 + + + 7353.148 + 7645.271 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",ROUND(X, 15)) + true + e27eeebf-1aa5-4a09-8dc1-2e334cd67054 + true + Expression + Expression + + + + + + 7189 + 7068 + 326 + 28 + + + 7334 + 7082 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + a30a9bf8-1cc3-435b-8d61-f8429ff8f525 + true + Variable X + X + true + 7e1801a8-0ab9-484d-b375-9ebaccb36026 + 1 + + + + + + 7191 + 7070 + 14 + 24 + + + 7199.5 + 7082 + + + + + + + + Result of expression + 66185648-85a4-4a54-abe5-cea3ee383b02 + true + Result + Result + false + true + 0 + + + + + + 7463 + 7070 + 50 + 24 + + + 7481.5 + 7082 + + + + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",ROUND(Y, 15)) + true + d0c062fe-01d9-4d03-ba12-3a737be9b519 + true + Expression + Expression + + + + + + 7190 + 6840 + 325 + 28 + + + 7334 + 6854 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c5f7ec2b-ab31-4041-b9e1-c62afe835ab8 + true + Variable Y + Y + true + 2f2e7b45-94dd-4604-bd63-d1bbcb709ab7 + 1 + + + + + + 7192 + 6842 + 13 + 24 + + + 7200 + 6854 + + + + + + + + Result of expression + b51856a0-549a-42b1-ba97-f66caf6262ad + true + Result + Result + false + true + 0 + + + + + + 7463 + 6842 + 50 + 24 + + + 7481.5 + 6854 + + + + + + + + + + + + + + d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 + Curve + + + + + Contains a collection of generic curves + true + 6ecba30c-40c0-463a-9060-e2c2fbd5edb3 + Curve + Curve + false + 7d12fff6-ffe1-4ba6-98a1-ebfa3b11a9e9 + 1 + + + + + + 4128 + 7795 + 50 + 24 + + + 4153.533 + 7807.735 + + + + + + + + + + aaa665bd-fd6e-4ccb-8d2c-c5b33072125d + Curvature + + + + + Evaluate the curvature of a curve at a specified parameter. + true + 40d60513-415a-4898-aba7-c6061f0579eb + true + Curvature + Curvature + + + + + + 7284 + 7414 + 137 + 64 + + + 7354 + 7446 + + + + + + Curve to evaluate + b42ddbf5-f18b-49d7-8b9a-69a62a55d0eb + true + Curve + Curve + false + 720b7ef5-fbd3-48d0-8025-e7492b3415ef + 1 + + + + + + 7286 + 7416 + 53 + 30 + + + 7314 + 7431 + + + + + + + + Parameter on curve domain to evaluate + 42f02b98-9e98-46a9-ae9e-7278a1b64e7a + true + Parameter + Parameter + false + 6aa03082-1247-4d15-966f-8082404943d9 + 1 + + + + + + 7286 + 7446 + 53 + 30 + + + 7314 + 7461 + + + + + + + + Point on curve at {t} + e6d83715-3d0b-4a05-a623-e1c141d73bc8 + true + Point + Point + false + 0 + + + + + + 7369 + 7416 + 50 + 20 + + + 7395.5 + 7426 + + + + + + + + Curvature vector at {t} + 032e66bc-d010-4bbf-8f3f-5daaf598e746 + true + Curvature + Curvature + false + 0 + + + + + + 7369 + 7436 + 50 + 20 + + + 7395.5 + 7446 + + + + + + + + Curvature circle at {t} + 95808bb1-8c7f-43b1-a4c9-692cc098ce93 + true + Curvature + Curvature + false + 0 + + + + + + 7369 + 7456 + 50 + 20 + + + 7395.5 + 7466 + + + + + + + + + + + + 23862862-049a-40be-b558-2418aacbd916 + Deconstruct Arc + + + + + Retrieve the base plane, radius and angle domain of an arc. + true + 4082beaa-6ef9-4a07-bb54-4d21225e1230 + true + Deconstruct Arc + Deconstruct Arc + + + + + + 7295 + 7334 + 114 + 64 + + + 7335 + 7366 + + + + + + Arc or Circle to deconstruct + 7828e46e-c601-4a75-b5a5-35252567215f + true + Arc + Arc + false + 95808bb1-8c7f-43b1-a4c9-692cc098ce93 + 1 + + + + + + 7297 + 7336 + 23 + 60 + + + 7310 + 7366 + + + + + + + + Base plane of arc or circle + 062b1e25-ee86-4353-8afc-5976956f1383 + true + Base Plane + Base Plane + false + 0 + + + + + + 7350 + 7336 + 57 + 20 + + + 7380 + 7346 + + + + + + + + Radius of arc or circle + 8cabf2fc-3f75-4198-93a3-c12880887f21 + true + Radius + Radius + false + 0 + + + + + + 7350 + 7356 + 57 + 20 + + + 7380 + 7366 + + + + + + + + Angle domain (in radians) of arc + ae22d8bd-abaa-4ff6-b33f-a3363d49aff4 + true + Angle + Angle + false + 0 + + + + + + 7350 + 7376 + 57 + 20 + + + 7380 + 7386 + + + + + + + + + + + + 797d922f-3a1d-46fe-9155-358b009b5997 + One Over X + + + + + Compute one over x. + f5dab157-8362-4091-9045-40c4f26e0cdc + true + One Over X + One Over X + + + + + + 7294 + 7289 + 116 + 28 + + + 7343 + 7303 + + + + + + Input value + db088c80-2fa5-4332-932c-060055a00eef + true + Value + Value + false + 8cabf2fc-3f75-4198-93a3-c12880887f21 + 1 + + + + + + 7296 + 7291 + 32 + 24 + + + 7313.5 + 7303 + + + + + + + + Output value + 69cfe8bb-36e0-4f63-9f25-1aa91b262044 + true + 2 + Result + Result + false + 0 + + + + + + 7358 + 7291 + 50 + 24 + + + 7376.5 + 7303 + + + + + + + + + + + + 290f418a-65ee-406a-a9d0-35699815b512 + Scale NU + + + + + Scale an object with non-uniform factors. + true + 9b553f8e-5f66-45c1-bd34-56a01a4a990a + Scale NU + Scale NU + + + + + + 5997 + 7490 + 154 + 104 + + + 6081 + 7542 + + + + + + Base geometry + 6519116e-470a-4441-9334-37aad772db8e + Geometry + Geometry + true + ca7224f3-bae4-457c-81bf-1f7e560dca22 + 1 + + + + + + 5999 + 7492 + 67 + 20 + + + 6042 + 7502 + + + + + + + + Base plane + 9e43ff47-f13f-474f-a7e0-7fb8f40658dd + Plane + Plane + false + 0 + + + + + + 5999 + 7512 + 67 + 20 + + + 6042 + 7522 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 0 + 1 + 0 + 0 + 0 + 1 + 0 + + + + + + + + + + + + Scaling factor in {x} direction + bf5701b8-4518-4b4b-8b94-a3974822655f + 1/X + Scale X + Scale X + false + 5d55bcf5-1aae-4bb5-93a7-3087d94838fe + 1 + + + + + + 5999 + 7532 + 67 + 20 + + + 6042 + 7542 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {y} direction + cd12f495-e5e3-49fb-831d-9f90bebc0239 + 1/X + Scale Y + Scale Y + false + fca82e81-b054-4209-9a40-8377ad09976c + 1 + + + + + + 5999 + 7552 + 67 + 20 + + + 6042 + 7562 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaling factor in {z} direction + d194ba2d-aa18-4cdf-a4a8-eeb1a1fabe4b + Scale Z + Scale Z + false + 0 + + + + + + 5999 + 7572 + 67 + 20 + + + 6042 + 7582 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Scaled geometry + cfeaab9a-dfe1-46cd-b5f7-6238cb9ea591 + Geometry + Geometry + false + 0 + + + + + + 6096 + 7492 + 53 + 50 + + + 6124 + 7517 + + + + + + + + Transformation data + dd204e29-ab8b-403e-ba63-0986abd0fe00 + Transform + Transform + false + 0 + + + + + + 6096 + 7542 + 53 + 50 + + + 6124 + 7567 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 1a1e1173-cda4-4c91-a252-b2ab4ffd882d + Relay + + false + a2c7bf89-1b35-4c76-a8c3-a55120dc97f5 + 1 + + + + + + 5752 + 7444 + 40 + 16 + + + 5772 + 7452 + + + + + + + + + + 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 + fa3d9b09-fc2a-44c4-b2a1-c8196f0a7654 + Evaluate Length + Evaluate Length + + + + + + 6002 + 7703 + 144 + 64 + + + 6076 + 7735 + + + + + + Curve to evaluate + c53af18a-f855-40f2-88a1-ab8526009caf + Curve + Curve + false + ca7224f3-bae4-457c-81bf-1f7e560dca22 + 1 + + + + + + 6004 + 7705 + 57 + 20 + + + 6034 + 7715 + + + + + + + + Length factor for curve evaluation + 74118a6f-a00d-4846-b12b-0ef2b6ad4cc3 + Length + Length + false + 0 + + + + + + 6004 + 7725 + 57 + 20 + + + 6034 + 7735 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 6b016b77-b9c0-4364-bbae-63ac498d6c28 + Normalized + Normalized + false + 0 + + + + + + 6004 + 7745 + 57 + 20 + + + 6034 + 7755 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + ea146d6e-b915-42d3-86f5-87ec3b4ce0ff + Point + Point + false + 0 + + + + + + 6091 + 7705 + 53 + 20 + + + 6119 + 7715 + + + + + + + + Tangent vector at the specified length + 35c1e1a0-d7d9-46ec-8b1c-011df97dc980 + Tangent + Tangent + false + 0 + + + + + + 6091 + 7725 + 53 + 20 + + + 6119 + 7735 + + + + + + + + Curve parameter at the specified length + 0fe47a8b-0386-4c66-82b5-068ad8bfa83c + Parameter + Parameter + false + 0 + + + + + + 6091 + 7745 + 53 + 20 + + + 6119 + 7755 + + + + + + + + + + + + 9abae6b7-fa1d-448c-9209-4a8155345841 + Deconstruct + + + + + Deconstruct a point into its component parts. + true + f12f6116-024b-43f5-94b7-f43bee3590d1 + Deconstruct + Deconstruct + + + + + + 6008 + 7619 + 132 + 64 + + + 6055 + 7651 + + + + + + Input point + 6acd527e-e812-4d1a-b66f-9e6035de3177 + Point + Point + false + ea146d6e-b915-42d3-86f5-87ec3b4ce0ff + 1 + + + + + + 6010 + 7621 + 30 + 60 + + + 6026.5 + 7651 + + + + + + + + Point {x} component + 5d55bcf5-1aae-4bb5-93a7-3087d94838fe + X component + X component + false + 0 + + + + + + 6070 + 7621 + 68 + 20 + + + 6105.5 + 7631 + + + + + + + + Point {y} component + fca82e81-b054-4209-9a40-8377ad09976c + Y component + Y component + false + 0 + + + + + + 6070 + 7641 + 68 + 20 + + + 6105.5 + 7651 + + + + + + + + Point {z} component + d38eb7c1-8386-439e-8b37-01ee1f9a1230 + Z component + Z component + false + 0 + + + + + + 6070 + 7661 + 68 + 20 + + + 6105.5 + 7671 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + ca7224f3-bae4-457c-81bf-1f7e560dca22 + Relay + + false + 1a1e1173-cda4-4c91-a252-b2ab4ffd882d + 1 + + + + + + 6057 + 7791 + 40 + 16 + + + 6077 + 7799 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d78d447b-9b74-4ff1-a0cd-e2850edf6ead + Relay + + false + cfeaab9a-dfe1-46cd-b5f7-6238cb9ea591 + 1 + + + + + + 6059 + 7454 + 40 + 16 + + + 6079 + 7462 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 9b553f8e-5f66-45c1-bd34-56a01a4a990a + fa3d9b09-fc2a-44c4-b2a1-c8196f0a7654 + f12f6116-024b-43f5-94b7-f43bee3590d1 + ca7224f3-bae4-457c-81bf-1f7e560dca22 + d78d447b-9b74-4ff1-a0cd-e2850edf6ead + 5 + fa2ceb3a-390d-4d78-9a7c-535fdba9ee21 + Group + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 8b6600df-0a05-46f8-beab-8523131a78ad + true + Panel + + false + 1 + 718f51ff-f52b-4370-9fe5-616bca6dcdf3 + 1 + Double click to edit panel content… + + + + + + 7439 + 6530 + 172 + 292 + + 0 + 0 + 0 + + 7439.854 + 6530.016 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + be577fe6-7f55-490c-b952-4f0b5b6edbc7 + true + Panel + + false + 1 + b1d5c3d0-77ca-47f2-9d69-c489630d96a9 + 1 + Double click to edit panel content… + + + + + + 7612 + 6530 + 186 + 292 + + 0 + 0 + 0 + + 7612.868 + 6530.868 + + + + + + + 255;255;255;255 + + true + true + true + false + false + C:\TXT.⠀⠀ⵙꖴꖴᑐᑕᔓᔕᗩⵙߦᑎⵙ✻ⓄⓄᙁⵙᴥⓄᙁⓄᑐᑕⵙᗱᗴ✻ᑎИNⵙᴥⓄꗳⵙᔓᔕ✤ИNꖴⓄߦⵙᗱᗴᗯᴥᑎᑐᑕⵙᗝᗱᗴߦᗩᙏⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᗝᗱᗴᗯꖴᴥᗱᗴᗝⵙ옷✤∷ⵙᗝꖴⓄᙏᕤᕦꖴᔓᔕⵙᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕⵙᴥᗩᗱᗴИNꖴᙁⵙ⠀⠀◯⠀⠀ⵙ⠀⠀◯⠀⠀ⵙᙁꖴИNᗱᗴᗩᴥⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᔓᔕꖴᕤᕦᙏⓄꖴᗝⵙ∷✤옷ⵙᗝᗱᗴᴥꖴᗯᗱᗴᗝⵙᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴⵙᙏᗩߦᗱᗴᗝⵙᑐᑕᑎᴥᗯᗱᗴⵙߦⓄꖴИN✤ᔓᔕⵙꗳⓄᴥⵙИNᑎ✻ᗱᗴⵙᑐᑕⓄᙁⓄᴥⵙᙁⓄⓄ✻ⵙᑎߦⵙᗩᔓᔕᑐᑕꖴꖴⵙ⠀⠀.TXT + true + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",X) + true + bc34d7f6-2984-476e-8869-3befe5696059 + true + Expression + Expression + + + + + + 7235 + 7243 + 235 + 28 + + + 7335 + 7257 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + de6484f3-d697-4ea1-b3e9-c8fe4ee17e6d + true + Variable X + X + true + 69cfe8bb-36e0-4f63-9f25-1aa91b262044 + 1 + + + + + + 7237 + 7245 + 14 + 24 + + + 7245.5 + 7257 + + + + + + + + Result of expression + b1d5c3d0-77ca-47f2-9d69-c489630d96a9 + true + Result + Result + false + true + 0 + + + + + + 7418 + 7245 + 50 + 24 + + + 7436.5 + 7257 + + + + + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + a44ac5ad-82ff-4983-8cf0-ae77cf506794 + Digit Scroller + + false + 0 + + + + + 12 + + 1 + + 1.00000000000 + + + + + + 11386 + 23863 + 250 + 20 + + + 11386.02 + 23863.49 + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 0f7fe3af-0625-4ea2-86cc-301fc60faa51 + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 2881 + 12992 + 50 + 24 + + + 2906.379 + 13004.07 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 2bfa03b7-1869-4350-8b7f-3dd5b338d013 + Expression + + + + + + + 4322 + 14254 + 79 + 44 + + + 4364 + 14276 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + cd0321ec-fe1d-4a91-b79d-1b10d56de402 + Variable X + X + true + b858e84c-e354-43a3-8a52-1a2b2e8195ae + 1 + + + + + + 4324 + 14256 + 14 + 20 + + + 4332.5 + 14266 + + + + + + + + Expression variable + 77d91d57-0cd1-4309-a7ae-04d57412912b + Variable O + O + true + 42ac9166-e290-4933-97c7-83ef0baf3f86 + 1 + + + + + + 4324 + 14276 + 14 + 20 + + + 4332.5 + 14286 + + + + + + + + Result of expression + 02789ff3-d94b-4ea1-80c2-2772980cb58e + Result + + false + 0 + + + + + + 4390 + 14256 + 9 + 40 + + + 4396 + 14276 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 42ac9166-e290-4933-97c7-83ef0baf3f86 + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 4338 + 14322 + 50 + 24 + + + 4363.99 + 14334.73 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + b6299172-9c55-49c8-9960-9ab31cdc82a8 + Relay + + false + a44ac5ad-82ff-4983-8cf0-ae77cf506794 + 1 + + + + + + 11496 + 23826 + 40 + 16 + + + 11516 + 23834 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + a44ac5ad-82ff-4983-8cf0-ae77cf506794 + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 2 + 4582f1fd-2c5d-4691-98fe-d8499b5fe9f4 + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 5627684b-fce3-4a31-aeeb-5e764ceff882 + Expression + + + + + + + 4379 + 22739 + 79 + 44 + + + 4421 + 22761 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 5f663c0d-4d54-4033-a454-4dceae03e1c7 + Variable X + X + true + 18afda8e-f24e-4448-8fa3-5a49fbcb28ca + 1 + + + + + + 4381 + 22741 + 14 + 20 + + + 4389.5 + 22751 + + + + + + + + Expression variable + 1e63a984-2071-409b-9fa9-8a56312a1638 + Variable O + O + true + c8207dde-4bfa-4fe8-8975-fa4b4e4ada74 + 1 + + + + + + 4381 + 22761 + 14 + 20 + + + 4389.5 + 22771 + + + + + + + + Result of expression + 207d9cec-a4d2-425f-8c18-c1b9a6493af2 + Result + + false + 0 + + + + + + 4447 + 22741 + 9 + 40 + + + 4453 + 22761 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + c8207dde-4bfa-4fe8-8975-fa4b4e4ada74 + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 4403 + 22805 + 50 + 24 + + + 4428.493 + 22817.55 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 48d5ff4b-8301-46c0-b3f0-66a81897604e + true + Expression + + + + + + + 2979 + 22733 + 79 + 44 + + + 3021 + 22755 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 9c9211df-c19b-4f38-8fbf-71a7fbb918c8 + true + Variable X + X + true + 174bb911-caba-47e2-9382-8b612bd7dc09 + 1 + + + + + + 2981 + 22735 + 14 + 20 + + + 2989.5 + 22745 + + + + + + + + Expression variable + 92263414-02c7-44e7-a0cc-dbb36cdceb02 + true + Variable O + O + true + c6c4d32d-3b3a-489c-bb54-cc0b46c307c4 + 1 + + + + + + 2981 + 22755 + 14 + 20 + + + 2989.5 + 22765 + + + + + + + + Result of expression + a6780e5e-2b14-4d81-a790-7d4b02c7a358 + true + Result + + false + 0 + + + + + + 3047 + 22735 + 9 + 40 + + + 3053 + 22755 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + c6c4d32d-3b3a-489c-bb54-cc0b46c307c4 + true + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 2998 + 22783 + 50 + 24 + + + 3023.956 + 22795.8 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 5f7bf1f7-7ac1-4ce8-b2ff-bfe64aea7d55 + true + Expression + + + + + + + 5908 + 22735 + 79 + 44 + + + 5950 + 22757 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + c38335aa-38e8-4cf6-a922-0cdf9d4bdd8e + true + Variable X + X + true + 5dd735ad-8c4e-4457-bd38-e14eee0646bf + 1 + + + + + + 5910 + 22737 + 14 + 20 + + + 5918.5 + 22747 + + + + + + + + Expression variable + e24ee026-c687-420e-9136-52730a69de6f + true + Variable O + O + true + 32907c7d-0b14-4a93-8d8b-bcda3fc126b5 + 1 + + + + + + 5910 + 22757 + 14 + 20 + + + 5918.5 + 22767 + + + + + + + + Result of expression + 8dbea2e7-8016-4f48-a111-3632d6f14e6e + true + Result + + false + 0 + + + + + + 5976 + 22737 + 9 + 40 + + + 5982 + 22757 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 32907c7d-0b14-4a93-8d8b-bcda3fc126b5 + true + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 5932 + 22809 + 50 + 24 + + + 5957.07 + 22821.13 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 3e304865-e3aa-4211-aa15-e64db0b27c11 + true + Expression + + + + + + + 5881 + 14334 + 79 + 44 + + + 5923 + 14356 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + f1161953-252f-404a-af7a-f649808e4fca + true + Variable X + X + true + 29995541-45bf-46b5-b7e2-056a09aca62e + 1 + + + + + + 5883 + 14336 + 14 + 20 + + + 5891.5 + 14346 + + + + + + + + Expression variable + 21493d1b-4b0e-4cf4-8f20-b849954cc0e2 + true + Variable O + O + true + feaa39ca-d99d-41fd-af1d-773431ac104a + 1 + + + + + + 5883 + 14356 + 14 + 20 + + + 5891.5 + 14366 + + + + + + + + Result of expression + 0efddd5b-9711-41f1-81b1-e4da9556a186 + true + Result + + false + 0 + + + + + + 5949 + 14336 + 9 + 40 + + + 5955 + 14356 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + feaa39ca-d99d-41fd-af1d-773431ac104a + true + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 5899 + 14404 + 50 + 24 + + + 5924.914 + 14416.37 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c8cd075c-340a-445d-86be-105452f4a52c + 976e8b5e-a30c-4f49-accc-bc7186df6012 + 6fb5db2e-5145-4314-b7a4-589c72abe653 + 204bf0ae-a8ca-4396-b0c9-8a0370090183 + fd3be4b9-6c3d-40d2-9620-43d96c79660e + 95b95cd4-c235-49d5-9800-40ab242c9774 + 76f500ac-e86f-447d-87bc-515a18b3f0eb + 39f4e0da-f78b-4920-9956-bf36224e442c + 7bbb9c1e-b339-48ea-add4-6a90f1db1deb + d52daa8c-d036-4514-89a1-a65a22afed24 + ee4947a9-9dcc-4323-8c8c-d12c15ab91df + a86fb9d7-272c-4960-a1e6-38ef64dcd7ae + d34203ed-2cba-479a-bbdb-90dee022ce9e + 112002ae-5ebb-4b1e-913b-b9acd4aab362 + c9738aaf-0d87-4200-9c48-fd4e7339f691 + 6de8efd1-9621-4c16-bbb2-ecb684cc0ece + 97f2d9df-b452-41a2-882d-bfd754f863f3 + 31abc6b8-4beb-435b-9596-154a9ce4c13a + 2bda530f-0136-44c3-a70f-9fdc9d45b8ef + 0a852269-2494-4c53-828b-1196b6b1a36f + a82078d7-a938-48ab-abb8-c20c5709fd42 + 63c61abd-619f-4c80-bf3c-527632b98c7c + 8dcba1b4-becc-43f6-9b60-b5ea619101f1 + b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 + 3b520175-5d8e-4b56-aaa1-e28c99f3a48b + fd9f8f17-ea37-42e6-a0c9-e263114da7b1 + 0c8861d7-92ed-45cb-9072-5bf60d8e6d51 + 6710d11e-c2fa-4762-ad92-4c4ca21e5e81 + 00857e0a-1044-4b3a-a868-cc9a8fb22683 + d47e9bf9-b6e7-41ae-91ee-94a7f7c67c9d + c48dccb2-49d0-4e50-986f-3bd136b8c34d + 75aa17d3-ce8b-4fa1-9a16-e9664097ca23 + c6757a5d-3bcb-4510-8358-6c6a55b0348d + 963ddac3-aa83-476b-aa74-b4f6ef5367bd + 34 + 90b308fe-413d-474d-a973-ae6731f529d2 + Group + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + c8cd075c-340a-445d-86be-105452f4a52c + Explode + Explode + + + + + + 6218 + -8599 + 136 + 44 + + + 6285 + -8577 + + + + + + Curve to explode + 3a191ca8-4a94-42a7-902b-27592e12e6e1 + Curve + Curve + false + 47bb6750-4689-4dee-a789-6addc1196d99 + 1 + + + + + + 6220 + -8597 + 50 + 20 + + + 6246.5 + -8587 + + + + + + + + Recursive decomposition until all segments are atomic + ace2efc4-de43-4f4e-840f-5798d87c0c95 + Recursive + Recursive + false + 0 + + + + + + 6220 + -8577 + 50 + 20 + + + 6246.5 + -8567 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + 95bdd798-e277-4807-9beb-6bd5c46ccb2f + Segments + Segments + false + 0 + + + + + + 6300 + -8597 + 52 + 20 + + + 6327.5 + -8587 + + + + + + + + 1 + Vertices of the exploded segments + 55aa58f1-00ea-43e0-9902-75bb29f61f3d + Vertices + Vertices + false + 0 + + + + + + 6300 + -8577 + 52 + 20 + + + 6327.5 + -8567 + + + + + + + + + + + + 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 + 976e8b5e-a30c-4f49-accc-bc7186df6012 + Evaluate Length + Evaluate Length + + + + + + 6214 + -8682 + 144 + 64 + + + 6288 + -8650 + + + + + + Curve to evaluate + 4b015c4a-d45a-457b-9f45-caf04383b4e5 + Curve + Curve + false + 95bdd798-e277-4807-9beb-6bd5c46ccb2f + 1 + + + + + + 6216 + -8680 + 57 + 20 + + + 6246 + -8670 + + + + + + + + Length factor for curve evaluation + d91b4424-5670-4b65-915f-1e67557e4598 + Length + Length + false + 0 + + + + + + 6216 + -8660 + 57 + 20 + + + 6246 + -8650 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 8141e76a-7952-4023-a138-3d92b5fd0bb9 + Normalized + Normalized + false + 0 + + + + + + 6216 + -8640 + 57 + 20 + + + 6246 + -8630 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + a586520f-66bd-474c-be0d-d1fd93c8fd15 + Point + Point + false + 0 + + + + + + 6303 + -8680 + 53 + 20 + + + 6331 + -8670 + + + + + + + + Tangent vector at the specified length + 3488dbc9-0b66-43b9-9c97-5fdc2f639ed6 + Tangent + Tangent + false + 0 + + + + + + 6303 + -8660 + 53 + 20 + + + 6331 + -8650 + + + + + + + + Curve parameter at the specified length + 80dfcfb1-ceb9-4992-8421-6d9c4ffbcb2b + Parameter + Parameter + false + 0 + + + + + + 6303 + -8640 + 53 + 20 + + + 6331 + -8630 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + 6fb5db2e-5145-4314-b7a4-589c72abe653 + Line SDL + Line SDL + + + + + + 6225 + -10315 + 122 + 64 + + + 6305 + -10283 + + + + + + Line start point + 4d171874-d176-48ea-a472-621f27ceeae3 + Start + Start + false + a586520f-66bd-474c-be0d-d1fd93c8fd15 + 1 + + + + + + 6227 + -10313 + 63 + 20 + + + 6268 + -10303 + + + + + + + + Line tangent (direction) + a04c54bb-e292-4f67-8258-38a9d748cefe + Direction + Direction + false + af9b6279-d40b-4a73-b0e1-f812ba3c765f + 1 + + + + + + 6227 + -10293 + 63 + 20 + + + 6268 + -10283 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + cf932292-17ff-444c-939b-6f52e3192e83 + ABS(X) + Length + Length + false + 8b2ca3a6-7edb-46fc-b6db-2e242e584f9d + 1 + + + + + + 6227 + -10273 + 63 + 20 + + + 6268 + -10263 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + 3afa17ac-9047-4912-88b0-68f86fd95700 + Line + Line + false + 0 + + + + + + 6320 + -10313 + 25 + 60 + + + 6334 + -10283 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + 204bf0ae-a8ca-4396-b0c9-8a0370090183 + Relative Differences + Relative Differences + + + + + + 6222 + -9025 + 128 + 28 + + + 6275 + -9011 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + cdcedf01-f875-435f-9abb-6f60c1bec078 + Values + Values + false + a911d8d2-c7c5-4d4f-821b-c7b63ed2247e + 1 + + + + + + 6224 + -9023 + 36 + 24 + + + 6243.5 + -9011 + + + + + + + + 1 + Differences between consecutive items + 3ab8f7c8-a546-4d41-b632-1d8d8059a2e9 + Differenced + Differenced + false + 0 + + + + + + 6290 + -9023 + 58 + 24 + + + 6320.5 + -9011 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + fd3be4b9-6c3d-40d2-9620-43d96c79660e + Replace Nulls + Replace Nulls + + + + + + 6218 + -8969 + 136 + 44 + + + 6304 + -8947 + + + + + + 1 + Items to test for null + 5b510f47-dca9-4bc6-b6d5-b90c04de3ed7 + Items + Items + false + 7bbb9c1e-b339-48ea-add4-6a90f1db1deb + 1 + + + + + + 6220 + -8967 + 69 + 20 + + + 6256 + -8957 + + + + + + + + 1 + Items to replace nulls with + 939d88b4-e804-4277-af4b-d5fdb086c2b6 + Replacements + Replacements + false + 0 + + + + + + 6220 + -8947 + 69 + 20 + + + 6256 + -8937 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + a911d8d2-c7c5-4d4f-821b-c7b63ed2247e + Items + Items + false + 0 + + + + + + 6319 + -8967 + 33 + 20 + + + 6337 + -8957 + + + + + + + + Number of items replaced + 3063d2ef-f5c0-4377-9412-1d13df563687 + Count + Count + false + 0 + + + + + + 6319 + -8947 + 33 + 20 + + + 6337 + -8937 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + 95b95cd4-c235-49d5-9800-40ab242c9774 + List Length + List Length + + + + + + 6240 + -9074 + 93 + 28 + + + 6279 + -9060 + + + + + + 1 + Base list + 16ae0143-94a4-4f25-867a-a8211e6b81c0 + List + List + false + 3ab8f7c8-a546-4d41-b632-1d8d8059a2e9 + 1 + + + + + + 6242 + -9072 + 22 + 24 + + + 6254.5 + -9060 + + + + + + + + Number of items in L + f850dc4f-3618-412b-a16d-22f6594bfe58 + Length + Length + false + 0 + + + + + + 6294 + -9072 + 37 + 24 + + + 6314 + -9060 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + 76f500ac-e86f-447d-87bc-515a18b3f0eb + List Item + List Item + + + + + + 6249 + -9237 + 74 + 64 + + + 6297 + -9205 + + + + + + 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 + d416348c-0e8e-4d97-bbb5-2389b99741fd + List + List + false + 3ab8f7c8-a546-4d41-b632-1d8d8059a2e9 + 1 + + + + + + 6251 + -9235 + 31 + 20 + + + 6268 + -9225 + + + + + + + + Item index + 2455210e-01e2-456d-93b4-8c18d4e78d8e + Index + Index + false + 41b01dbf-35fb-4ffd-97af-8a301a30ae51 + 1 + + + + + + 6251 + -9215 + 31 + 20 + + + 6268 + -9205 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 0418784d-a559-4223-abb9-bae82691d1a8 + Wrap + Wrap + false + 0 + + + + + + 6251 + -9195 + 31 + 20 + + + 6268 + -9185 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 83f3634f-f48d-43c6-9784-1b1fdb4bc7b2 + false + Item + i + false + 0 + + + + + + 6312 + -9235 + 9 + 60 + + + 6318 + -9205 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + 39f4e0da-f78b-4920-9956-bf36224e442c + Series + Series + + + + + + 6228 + -9155 + 117 + 64 + + + 6294 + -9123 + + + + + + First number in the series + 76f5e496-ff76-48df-bbca-9126275c4799 + Start + Start + false + 0 + + + + + + 6230 + -9153 + 49 + 20 + + + 6264 + -9143 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + 0622652d-c9f8-4494-96b7-4157a74fc985 + Step + Step + false + 0 + + + + + + 6230 + -9133 + 49 + 20 + + + 6264 + -9123 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + e2233f34-94f4-42f1-b468-05b3ac5fbced + X-1 + Count + Count + false + f850dc4f-3618-412b-a16d-22f6594bfe58 + 1 + + + + + + 6230 + -9113 + 49 + 20 + + + 6264 + -9103 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 41b01dbf-35fb-4ffd-97af-8a301a30ae51 + Series + Series + false + 0 + + + + + + 6309 + -9153 + 34 + 60 + + + 6327.5 + -9123 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7bbb9c1e-b339-48ea-add4-6a90f1db1deb + Relay + + false + cdc9a150-4bc2-4eb9-a2e5-9d4a4e69adcd + 1 + + + + + + 6266 + -8906 + 40 + 16 + + + 6286 + -8898 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + d52daa8c-d036-4514-89a1-a65a22afed24 + Relay + + false + 83f3634f-f48d-43c6-9784-1b1fdb4bc7b2 + 1 + + + + + + 6266 + -9270 + 40 + 16 + + + 6286 + -9262 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 204bf0ae-a8ca-4396-b0c9-8a0370090183 + fd3be4b9-6c3d-40d2-9620-43d96c79660e + 95b95cd4-c235-49d5-9800-40ab242c9774 + 76f500ac-e86f-447d-87bc-515a18b3f0eb + 39f4e0da-f78b-4920-9956-bf36224e442c + 7bbb9c1e-b339-48ea-add4-6a90f1db1deb + d52daa8c-d036-4514-89a1-a65a22afed24 + 7 + ee4947a9-9dcc-4323-8c8c-d12c15ab91df + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + a86fb9d7-272c-4960-a1e6-38ef64dcd7ae + Curve Closest Point + Curve Closest Point + + + + + + 6226 + -8770 + 120 + 64 + + + 6276 + -8738 + + + + + + Point to project onto curve + a1c1dd99-2a51-435e-a768-64e6070d408c + Point + Point + false + a586520f-66bd-474c-be0d-d1fd93c8fd15 + 1 + + + + + + 6228 + -8768 + 33 + 30 + + + 6246 + -8753 + + + + + + + + Curve to project onto + 2b4396f6-b1d7-422b-84f3-a19ed6610e17 + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + -8738 + 33 + 30 + + + 6246 + -8723 + + + + + + + + Point on the curve closest to the base point + 1eed86aa-3e83-4ffa-b858-57ee651bd58d + Point + Point + false + 0 + + + + + + 6291 + -8768 + 53 + 20 + + + 6319 + -8758 + + + + + + + + Parameter on curve domain of closest point + 6d47cadb-6082-45ab-8664-50ec48352a8d + Parameter + Parameter + false + 0 + + + + + + 6291 + -8748 + 53 + 20 + + + 6319 + -8738 + + + + + + + + Distance between base point and curve + fe4f7f9f-3c60-4cec-9bd5-895852c74b47 + Distance + Distance + false + 0 + + + + + + 6291 + -8728 + 53 + 20 + + + 6319 + -8718 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + d34203ed-2cba-479a-bbdb-90dee022ce9e + Line + Line + + + + + + 6229 + -8849 + 114 + 44 + + + 6301 + -8827 + + + + + + Line start point + a608e61a-9ec1-43e8-b82d-715270eb56cf + Start Point + Start Point + false + 1eed86aa-3e83-4ffa-b858-57ee651bd58d + 1 + + + + + + 6231 + -8847 + 55 + 20 + + + 6260 + -8837 + + + + + + + + Line end point + 73939957-b065-4553-a2d0-98d31d94ae61 + End Point + End Point + false + a586520f-66bd-474c-be0d-d1fd93c8fd15 + 1 + + + + + + 6231 + -8827 + 55 + 20 + + + 6260 + -8817 + + + + + + + + Line segment + af9b6279-d40b-4a73-b0e1-f812ba3c765f + Line + Line + false + 0 + + + + + + 6316 + -8847 + 25 + 40 + + + 6330 + -8827 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + 112002ae-5ebb-4b1e-913b-b9acd4aab362 + Remap Numbers + Remap Numbers + + + + + + 6229 + -10013 + 115 + 64 + + + 6284 + -9981 + + + + + + Value to remap + b7568e4f-d956-447c-82cc-eca1511944e1 + Value + Value + false + 6de8efd1-9621-4c16-bbb2-ecb684cc0ece + 1 + + + + + + 6231 + -10011 + 38 + 20 + + + 6251.5 + -10001 + + + + + + + + Source domain + 021bb787-e095-4eb3-93ae-9af05c54ac1c + Source + Source + false + e6d2aa88-fc86-4d45-96bc-c1945edc1293 + 1 + + + + + + 6231 + -9991 + 38 + 20 + + + 6251.5 + -9981 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + af9ba95f-0b42-49d1-ba7b-5b22ea433b0c + Target + Target + false + 0 + + + + + + 6231 + -9971 + 38 + 20 + + + 6251.5 + -9961 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + 83ef78c2-8164-4b50-b276-608296da9351 + Mapped + Mapped + false + 0 + + + + + + 6299 + -10011 + 43 + 30 + + + 6322 + -9996 + + + + + + + + Remapped and clipped number + b8fa42d6-b042-4ccd-919d-391c9816295e + Clipped + Clipped + false + 0 + + + + + + 6299 + -9981 + 43 + 30 + + + 6322 + -9966 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + c9738aaf-0d87-4200-9c48-fd4e7339f691 + Bounds + Bounds + + + + + + 6225 + -9931 + 122 + 28 + + + 6289 + -9917 + + + + + + 1 + Numbers to include in Bounds + 98896f96-90b5-4f08-bda9-9893fc697bde + Numbers + Numbers + false + 6de8efd1-9621-4c16-bbb2-ecb684cc0ece + 1 + + + + + + 6227 + -9929 + 47 + 24 + + + 6252 + -9917 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + e6d2aa88-fc86-4d45-96bc-c1945edc1293 + Domain + Domain + false + 0 + + + + + + 6304 + -9929 + 41 + 24 + + + 6326 + -9917 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 6de8efd1-9621-4c16-bbb2-ecb684cc0ece + Relay + + false + d52daa8c-d036-4514-89a1-a65a22afed24 + 1 + + + + + + 6266 + -9884 + 40 + 16 + + + 6286 + -9876 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 97f2d9df-b452-41a2-882d-bfd754f863f3 + Multiplication + Multiplication + + + + + + 6245 + -10212 + 82 + 44 + + + 6276 + -10190 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 473386ac-d49e-45c7-ae2b-f0164d897185 + A + A + true + e7b69294-6947-4384-b3e3-036d1b0b6ba8 + 1 + + + + + + 6247 + -10210 + 14 + 20 + + + 6255.5 + -10200 + + + + + + + + Second item for multiplication + 442a7fbe-05ff-42d7-a669-e1a039c4e50e + B + B + true + 0a852269-2494-4c53-828b-1196b6b1a36f + 1 + + + + + + 6247 + -10190 + 14 + 20 + + + 6255.5 + -10180 + + + + + + + + Result of multiplication + 8b2ca3a6-7edb-46fc-b6db-2e242e584f9d + Result + Result + false + 0 + + + + + + 6291 + -10210 + 34 + 40 + + + 6309.5 + -10190 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 31abc6b8-4beb-435b-9596-154a9ce4c13a + Multiplication + Multiplication + + + + + + 6245 + -10105 + 82 + 44 + + + 6276 + -10083 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 1f9f27a3-5bf2-4fa6-ba28-5a24c28dfd67 + A + A + true + 2bda530f-0136-44c3-a70f-9fdc9d45b8ef + 1 + + + + + + 6247 + -10103 + 14 + 20 + + + 6255.5 + -10093 + + + + + + + + Second item for multiplication + 2e867a5d-de5f-4d2f-92cb-38de3b5b8032 + B + B + true + 83ef78c2-8164-4b50-b276-608296da9351 + 1 + + + + + + 6247 + -10083 + 14 + 20 + + + 6255.5 + -10073 + + + + + + + + Result of multiplication + e7b69294-6947-4384-b3e3-036d1b0b6ba8 + Result + Result + false + 0 + + + + + + 6291 + -10103 + 34 + 40 + + + 6309.5 + -10083 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 2bda530f-0136-44c3-a70f-9fdc9d45b8ef + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + -10040 + 40 + 16 + + + 6286 + -10032 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 0a852269-2494-4c53-828b-1196b6b1a36f + Digit Scroller + + false + 0 + + + + + 12 + + 2 + + 0.0833333333 + + + + + + 6161 + -10140 + 250 + 20 + + + 6161.767 + -10139.8 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 112002ae-5ebb-4b1e-913b-b9acd4aab362 + c9738aaf-0d87-4200-9c48-fd4e7339f691 + 6de8efd1-9621-4c16-bbb2-ecb684cc0ece + 97f2d9df-b452-41a2-882d-bfd754f863f3 + 31abc6b8-4beb-435b-9596-154a9ce4c13a + 2bda530f-0136-44c3-a70f-9fdc9d45b8ef + 0a852269-2494-4c53-828b-1196b6b1a36f + 7 + a82078d7-a938-48ab-abb8-c20c5709fd42 + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + c8cd075c-340a-445d-86be-105452f4a52c + 976e8b5e-a30c-4f49-accc-bc7186df6012 + a86fb9d7-272c-4960-a1e6-38ef64dcd7ae + d34203ed-2cba-479a-bbdb-90dee022ce9e + 4 + 63c61abd-619f-4c80-bf3c-527632b98c7c + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + 8dcba1b4-becc-43f6-9b60-b5ea619101f1 + true + Expression + Expression + + + + + + 6189 + -9370 + 194 + 28 + + + 6289 + -9356 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 27fcdf74-8fe2-4f18-bf6a-712c4afc6b21 + true + Variable O + O + true + fd9f8f17-ea37-42e6-a0c9-e263114da7b1 + 1 + + + + + + 6191 + -9368 + 14 + 24 + + + 6199.5 + -9356 + + + + + + + + Result of expression + ef260719-8f91-419a-8676-2b70252ad03a + true + Result + + false + 0 + + + + + + 6372 + -9368 + 9 + 24 + + + 6378 + -9356 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 + Panel + + false + 1 + ef260719-8f91-419a-8676-2b70252ad03a + 1 + Double click to edit panel content… + + + + + + 6194 + -9637 + 185 + 271 + + 0 + 0 + 0 + + 6194.286 + -9636.485 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 3b520175-5d8e-4b56-aaa1-e28c99f3a48b + Relay + + false + b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 + 1 + + + + + + 6266 + -9679 + 40 + 16 + + + 6286 + -9671 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fd9f8f17-ea37-42e6-a0c9-e263114da7b1 + Relay + + false + d52daa8c-d036-4514-89a1-a65a22afed24 + 1 + + + + + + 6266 + -9323 + 40 + 16 + + + 6286 + -9315 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + 8dcba1b4-becc-43f6-9b60-b5ea619101f1 + b6a1fce3-fc4c-4db8-8d58-49b266b77cd5 + 3b520175-5d8e-4b56-aaa1-e28c99f3a48b + fd9f8f17-ea37-42e6-a0c9-e263114da7b1 + 4 + 0c8861d7-92ed-45cb-9072-5bf60d8e6d51 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 6710d11e-c2fa-4762-ad92-4c4ca21e5e81 + Create Material + Create Material + + + + + + 6214 + -10441 + 144 + 104 + + + 6298 + -10389 + + + + + + Colour of the diffuse channel + 808cb76b-a6f9-4655-a21a-37b34ebde156 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -10439 + 67 + 20 + + + 6251 + -10429 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;201;201;201 + + + + + + + + + + + + Colour of the specular highlight + 790e9e5c-8b41-49a7-8ee8-57ce3134e091 + Specular + Specular + false + 0 + + + + + + 6216 + -10419 + 67 + 20 + + + 6251 + -10409 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 928b76e9-42b5-4384-8649-290f599dfff0 + Emission + Emission + false + 0 + + + + + + 6216 + -10399 + 67 + 20 + + + 6251 + -10389 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 51a2571e-eaf0-4ce5-98f5-d01e50a81aa7 + Transparency + Transparency + false + 0 + + + + + + 6216 + -10379 + 67 + 20 + + + 6251 + -10369 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 60824aa7-4bd3-4eb0-b9ee-56b8e9343f7a + Shine + Shine + false + 0 + + + + + + 6216 + -10359 + 67 + 20 + + + 6251 + -10349 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 24632210-ce78-4480-b1de-0506b338fdf7 + Material + Material + false + 0 + + + + + + 6313 + -10439 + 43 + 100 + + + 6336 + -10389 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + 00857e0a-1044-4b3a-a868-cc9a8fb22683 + Custom Preview + Custom Preview + + + + + + + 6245 + -10512 + 82 + 44 + + + 6313 + -10490 + + + + + + Geometry to preview + true + 88323bbc-29b5-4a84-bb8f-a2529b680eb0 + Geometry + Geometry + false + 3afa17ac-9047-4912-88b0-68f86fd95700 + 1 + + + + + + 6247 + -10510 + 51 + 20 + + + 6274 + -10500 + + + + + + + + The material override + 62a32fe2-05b1-473f-8e93-e0f27f0013b7 + Material + Material + false + 24632210-ce78-4480-b1de-0506b338fdf7 + 1 + + + + + + 6247 + -10490 + 51 + 20 + + + 6274 + -10480 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + d47e9bf9-b6e7-41ae-91ee-94a7f7c67c9d + Evaluate Length + Evaluate Length + + + + + + 6214 + -10600 + 144 + 64 + + + 6288 + -10568 + + + + + + Curve to evaluate + c94d0827-8a08-4e6c-b2d5-7220d0feffd1 + Curve + Curve + false + 3afa17ac-9047-4912-88b0-68f86fd95700 + 1 + + + + + + 6216 + -10598 + 57 + 20 + + + 6246 + -10588 + + + + + + + + Length factor for curve evaluation + 3d928d8a-0db2-476a-a761-ac2a006daec8 + Length + Length + false + 0 + + + + + + 6216 + -10578 + 57 + 20 + + + 6246 + -10568 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 76ece4eb-7402-43c2-9740-9828f87ad2c8 + Normalized + Normalized + false + 0 + + + + + + 6216 + -10558 + 57 + 20 + + + 6246 + -10548 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + a38a8b55-33da-43fc-b2d1-87e3f719ba5b + Point + Point + false + 0 + + + + + + 6303 + -10598 + 53 + 20 + + + 6331 + -10588 + + + + + + + + Tangent vector at the specified length + fbbf78a3-5b7c-4fcd-bbbe-f5b06202b9db + Tangent + Tangent + false + 0 + + + + + + 6303 + -10578 + 53 + 20 + + + 6331 + -10568 + + + + + + + + Curve parameter at the specified length + 57c932ef-9a6c-44dc-ab68-343443411079 + Parameter + Parameter + false + 0 + + + + + + 6303 + -10558 + 53 + 20 + + + 6331 + -10548 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + c48dccb2-49d0-4e50-986f-3bd136b8c34d + Interpolate + Interpolate + + + + + + 6224 + -10705 + 125 + 84 + + + 6291 + -10663 + + + + + + 1 + Interpolation points + 39fdd21b-9f87-48ca-8963-b6cf3e3abd02 + Vertices + Vertices + false + a38a8b55-33da-43fc-b2d1-87e3f719ba5b + 1 + + + + + + 6226 + -10703 + 50 + 20 + + + 6252.5 + -10693 + + + + + + + + Curve degree + fc281441-c467-4b85-b640-7cea7b984d51 + Degree + Degree + false + 0 + + + + + + 6226 + -10683 + 50 + 20 + + + 6252.5 + -10673 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + a1dfc547-2793-4147-a986-813387e7c992 + Periodic + Periodic + false + 0 + + + + + + 6226 + -10663 + 50 + 20 + + + 6252.5 + -10653 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + 2b52f8a9-e33e-429e-b7ef-e9f83e428487 + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + -10643 + 50 + 20 + + + 6252.5 + -10633 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + ca0e27ed-ccee-49a0-ab39-9084421fe651 + Curve + Curve + false + 0 + + + + + + 6306 + -10703 + 41 + 26 + + + 6328 + -10689.67 + + + + + + + + Curve length + 38a40516-4eb2-4b9a-9ee4-2d07d9a114a5 + Length + Length + false + 0 + + + + + + 6306 + -10677 + 41 + 27 + + + 6328 + -10663 + + + + + + + + Curve domain + 7375ad85-6b39-45fb-9e36-ca04bf24e6dd + Domain + Domain + false + 0 + + + + + + 6306 + -10650 + 41 + 27 + + + 6328 + -10636.33 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + 75aa17d3-ce8b-4fa1-9a16-e9664097ca23 + Create Material + Create Material + + + + + + 6214 + -10832 + 144 + 104 + + + 6298 + -10780 + + + + + + Colour of the diffuse channel + e8cf0bd4-f66f-4a2b-852d-af5298436a00 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -10830 + 67 + 20 + + + 6251 + -10820 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;176;176;176 + + + + + + + + + + + + Colour of the specular highlight + f846e58e-c19f-49e0-bbf4-0f87550a2cff + Specular + Specular + false + 0 + + + + + + 6216 + -10810 + 67 + 20 + + + 6251 + -10800 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 6a18debe-1aa8-4dde-9e7f-4d92dc0d3688 + Emission + Emission + false + 0 + + + + + + 6216 + -10790 + 67 + 20 + + + 6251 + -10780 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 3045769b-fea1-412f-84c9-01e91a8ba81e + Transparency + Transparency + false + 0 + + + + + + 6216 + -10770 + 67 + 20 + + + 6251 + -10760 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + adbbee1f-fdac-4305-b768-a15d2ea15a99 + Shine + Shine + false + 0 + + + + + + 6216 + -10750 + 67 + 20 + + + 6251 + -10740 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + adbc4fb7-b2d0-495a-8a00-242ba2310cee + Material + Material + false + 0 + + + + + + 6313 + -10830 + 43 + 100 + + + 6336 + -10780 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + c6757a5d-3bcb-4510-8358-6c6a55b0348d + Custom Preview + Custom Preview + + + + + + + 6245 + -10898 + 82 + 44 + + + 6313 + -10876 + + + + + + Geometry to preview + true + 253fc2a8-b56b-453f-8cd8-80dda2a30e65 + Geometry + Geometry + false + ca0e27ed-ccee-49a0-ab39-9084421fe651 + 1 + + + + + + 6247 + -10896 + 51 + 20 + + + 6274 + -10886 + + + + + + + + The material override + 6d362eff-b007-4fe5-a470-ee02a4c14e1b + Material + Material + false + adbc4fb7-b2d0-495a-8a00-242ba2310cee + 1 + + + + + + 6247 + -10876 + 51 + 20 + + + 6274 + -10866 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 963ddac3-aa83-476b-aa74-b4f6ef5367bd + Quick Graph + Quick Graph + false + 0 + fd9f8f17-ea37-42e6-a0c9-e263114da7b1 + 1 + + + + + + 6212 + -9834 + 150 + 150 + + + 6212.106 + -9833.009 + + -1 + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b254e5d4-ce8a-4e90-b368-2b8eb4b0417d + 451ff23e-89b8-402c-80d2-64b65759d57e + c83c505d-8ef4-4b52-ba92-6bcecab4d890 + ca7e90ca-36de-4b85-91dd-2a6bfb87f411 + d2fbc32e-469f-4f0b-93fb-f74302684933 + 8d9eea06-9076-4a6f-9483-ad59d9ef3391 + 908bebb3-fbd6-4b4e-b2f6-d2736d675238 + 60dc3701-2781-4a3c-894d-37a06a9d5c61 + fda64ac3-64ee-44d2-a85b-dbf06a8abab6 + 596517f6-713f-4075-9483-f7a574b0e19e + 5d884223-a380-4cfe-930f-a9443533a48d + bdc296e4-56d8-4c36-b73c-ab2b716e23aa + 546f285b-4beb-4144-9382-320016283c77 + adcf5e4a-a298-48ab-9df6-dd3f9f0b4650 + 3d832594-c250-49c3-9bff-92f1a21aba3b + c8458fc2-22d5-49ec-9526-921fffc74c78 + 8063539f-a3dc-466d-9ba3-7180c7e62bf9 + 00fa5c8a-02eb-4761-95cf-17938ac4d336 + 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 + 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 + 7d567dbe-59c9-46d3-9655-4410f60a7d5b + e5a8f892-036a-46a8-b974-6fbab0908172 + d1d65df3-8df7-492c-a128-ff12057e14c9 + bb1e236b-c251-43e2-a46f-147a0c41ea1e + 5d6f3284-f12d-4c9a-8dc5-da04ec4cd217 + fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f + b5316373-0425-4894-a649-441530005892 + bcd02164-22fd-4082-b198-f00c44c0d50c + fb987159-f677-435a-b88f-f7b7c184e0ed + 58175766-8ff2-46f7-b4a8-e48cfff68dc2 + 7f0e5128-4571-48ea-b8e6-5e2d9f8f89f4 + ed472bf0-125b-4f32-b42b-39c992e6d9cb + f5fa8291-dd0e-4bfe-ac98-6c010ce17e83 + 4bdc1d70-a5c8-4920-b546-4ff1c066b8aa + 34 + 7352d3fd-f3c9-4c6b-a1b1-d11278b90842 + Group + + + + + + + + + + + afb96615-c59a-45c9-9cac-e27acb1c7ca0 + Explode + + + + + Explode a curve into smaller segments. + true + b254e5d4-ce8a-4e90-b368-2b8eb4b0417d + Explode + Explode + + + + + + 6218 + -11035 + 136 + 44 + + + 6285 + -11013 + + + + + + Curve to explode + 6c16ec13-86b1-4b0e-b6e1-b21e094c8417 + Curve + Curve + false + ca0e27ed-ccee-49a0-ab39-9084421fe651 + 1 + + + + + + 6220 + -11033 + 50 + 20 + + + 6246.5 + -11023 + + + + + + + + Recursive decomposition until all segments are atomic + d4640314-e16a-4ab9-b894-b6c3a9c9923e + Recursive + Recursive + false + 0 + + + + + + 6220 + -11013 + 50 + 20 + + + 6246.5 + -11003 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + 1 + Exploded segments that make up the base curve + c2f359e4-4de5-4460-8daf-06621c5de358 + Segments + Segments + false + 0 + + + + + + 6300 + -11033 + 52 + 20 + + + 6327.5 + -11023 + + + + + + + + 1 + Vertices of the exploded segments + 67d792f8-a397-4d8b-a7e0-59fd731c4342 + Vertices + Vertices + false + 0 + + + + + + 6300 + -11013 + 52 + 20 + + + 6327.5 + -11003 + + + + + + + + + + + + 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 + 451ff23e-89b8-402c-80d2-64b65759d57e + Evaluate Length + Evaluate Length + + + + + + 6214 + -11118 + 144 + 64 + + + 6288 + -11086 + + + + + + Curve to evaluate + b0868495-bd30-4e38-bf23-e05f9bffadde + Curve + Curve + false + c2f359e4-4de5-4460-8daf-06621c5de358 + 1 + + + + + + 6216 + -11116 + 57 + 20 + + + 6246 + -11106 + + + + + + + + Length factor for curve evaluation + 3239d27a-3956-4161-b66f-1eb5d89c20d7 + Length + Length + false + 0 + + + + + + 6216 + -11096 + 57 + 20 + + + 6246 + -11086 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 341759dc-221e-4dee-8038-b4ff3eb454ba + Normalized + Normalized + false + 0 + + + + + + 6216 + -11076 + 57 + 20 + + + 6246 + -11066 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 8219b582-1576-4bfa-9f90-be383d8c3e99 + Point + Point + false + 0 + + + + + + 6303 + -11116 + 53 + 20 + + + 6331 + -11106 + + + + + + + + Tangent vector at the specified length + f5d643db-9bfa-4764-a8ac-9188c2095cbf + Tangent + Tangent + false + 0 + + + + + + 6303 + -11096 + 53 + 20 + + + 6331 + -11086 + + + + + + + + Curve parameter at the specified length + 36e99cfe-8c5e-455c-b97c-82bb0b6dfc15 + Parameter + Parameter + false + 0 + + + + + + 6303 + -11076 + 53 + 20 + + + 6331 + -11066 + + + + + + + + + + + + 4c619bc9-39fd-4717-82a6-1e07ea237bbe + Line SDL + + + + + Create a line segment defined by start point, tangent and length.} + c83c505d-8ef4-4b52-ba92-6bcecab4d890 + Line SDL + Line SDL + + + + + + 6225 + -12751 + 122 + 64 + + + 6305 + -12719 + + + + + + Line start point + c5133e4d-4f7b-4b9e-86db-4728e0c74fe1 + Start + Start + false + 8219b582-1576-4bfa-9f90-be383d8c3e99 + 1 + + + + + + 6227 + -12749 + 63 + 20 + + + 6268 + -12739 + + + + + + + + Line tangent (direction) + 9184b349-f063-4671-b733-cc5fcd0509da + Direction + Direction + false + 7567cf8f-c1ce-4de5-802b-ab02be89c5c6 + 1 + + + + + + 6227 + -12729 + 63 + 20 + + + 6268 + -12719 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 0 + 1 + + + + + + + + + + + + Line length + c2760c0f-f691-4a98-9e14-69481a1427cf + ABS(X) + Length + Length + false + 295635ee-a9ce-4ef3-9c2b-12e905901756 + 1 + + + + + + 6227 + -12709 + 63 + 20 + + + 6268 + -12699 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.015625 + + + + + + + + + + + Line segment + ab4c4690-4e7b-4578-b19a-e0204f2db4d4 + Line + Line + false + 0 + + + + + + 6320 + -12749 + 25 + 60 + + + 6334 + -12719 + + + + + + + + + + + + dd17d442-3776-40b3-ad5b-5e188b56bd4c + Relative Differences + + + + + Compute relative differences for a list of data + ca7e90ca-36de-4b85-91dd-2a6bfb87f411 + Relative Differences + Relative Differences + + + + + + 6222 + -11461 + 128 + 28 + + + 6275 + -11447 + + + + + + 1 + List of data to operate on (numbers or points or vectors allowed) + c56e837c-07e4-4ca1-8598-fafa1590e376 + Values + Values + false + 38334ac4-d96b-478c-92c5-f4e557c4d25c + 1 + + + + + + 6224 + -11459 + 36 + 24 + + + 6243.5 + -11447 + + + + + + + + 1 + Differences between consecutive items + 4d51bf26-7a98-4b64-a575-5e1c5e58b777 + Differenced + Differenced + false + 0 + + + + + + 6290 + -11459 + 58 + 24 + + + 6320.5 + -11447 + + + + + + + + + + + + f3230ecb-3631-4d6f-86f2-ef4b2ed37f45 + Replace Nulls + + + + + Replace nulls or invalid data with other data + true + d2fbc32e-469f-4f0b-93fb-f74302684933 + Replace Nulls + Replace Nulls + + + + + + 6218 + -11405 + 136 + 44 + + + 6304 + -11383 + + + + + + 1 + Items to test for null + 3565bd24-0f13-4822-a917-637f6c0a1d8e + Items + Items + false + fda64ac3-64ee-44d2-a85b-dbf06a8abab6 + 1 + + + + + + 6220 + -11403 + 69 + 20 + + + 6256 + -11393 + + + + + + + + 1 + Items to replace nulls with + 6a95640e-6075-44f4-8451-80badc1095b2 + Replacements + Replacements + false + 0 + + + + + + 6220 + -11383 + 69 + 20 + + + 6256 + -11373 + + + + + + 1 + + + + + 1 + {0} + + + + + Grasshopper.Kernel.Types.GH_Integer + 0 + + + + + + + + + + + 1 + List without any nulls + 38334ac4-d96b-478c-92c5-f4e557c4d25c + Items + Items + false + 0 + + + + + + 6319 + -11403 + 33 + 20 + + + 6337 + -11393 + + + + + + + + Number of items replaced + 157f3717-fbd7-41dd-acde-0b97843b7a07 + Count + Count + false + 0 + + + + + + 6319 + -11383 + 33 + 20 + + + 6337 + -11373 + + + + + + + + + + + + 1817fd29-20ae-4503-b542-f0fb651e67d7 + List Length + + + + + Measure the length of a list. + 8d9eea06-9076-4a6f-9483-ad59d9ef3391 + List Length + List Length + + + + + + 6240 + -11510 + 93 + 28 + + + 6279 + -11496 + + + + + + 1 + Base list + 5c0faaf3-400c-428b-bb33-e81aedf15438 + List + List + false + 4d51bf26-7a98-4b64-a575-5e1c5e58b777 + 1 + + + + + + 6242 + -11508 + 22 + 24 + + + 6254.5 + -11496 + + + + + + + + Number of items in L + 25dab1fe-bf58-46f1-88f1-765144b0f83e + Length + Length + false + 0 + + + + + + 6294 + -11508 + 37 + 24 + + + 6314 + -11496 + + + + + + + + + + + + 59daf374-bc21-4a5e-8282-5504fb7ae9ae + List Item + + + + + 0 + Retrieve a specific item from a list. + 908bebb3-fbd6-4b4e-b2f6-d2736d675238 + List Item + List Item + + + + + + 6249 + -11673 + 74 + 64 + + + 6297 + -11641 + + + + + + 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 + 1dae5a18-2c99-4c94-912b-eca5c4f3701d + List + List + false + 4d51bf26-7a98-4b64-a575-5e1c5e58b777 + 1 + + + + + + 6251 + -11671 + 31 + 20 + + + 6268 + -11661 + + + + + + + + Item index + aad57758-1fbf-454a-b3c0-ea9c542ffdf9 + Index + Index + false + 57b29127-b6a6-41f6-b11a-b34d0fc69b18 + 1 + + + + + + 6251 + -11651 + 31 + 20 + + + 6268 + -11641 + + + + + + 1 + + + + + 1 + {0} + + + + + 0 + + + + + + + + + + + Wrap index to list bounds + 7e549481-ec0d-457d-b14d-a922cc9fe02c + Wrap + Wrap + false + 0 + + + + + + 6251 + -11631 + 31 + 20 + + + 6268 + -11621 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Item at {i'} + 37a6cc2b-8768-4402-802b-d942b86b98a1 + false + Item + i + false + 0 + + + + + + 6312 + -11671 + 9 + 60 + + + 6318 + -11641 + + + + + + + + + + + + + + e64c5fb1-845c-4ab1-8911-5f338516ba67 + Series + + + + + Create a series of numbers. + 60dc3701-2781-4a3c-894d-37a06a9d5c61 + Series + Series + + + + + + 6228 + -11591 + 117 + 64 + + + 6294 + -11559 + + + + + + First number in the series + 9e1e174c-dc9d-4f09-8e85-873115056892 + Start + Start + false + 0 + + + + + + 6230 + -11589 + 49 + 20 + + + 6264 + -11579 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Step size for each successive number + cd2b0c18-9fc7-41a4-b3fa-8e72f2726aed + Step + Step + false + 0 + + + + + + 6230 + -11569 + 49 + 20 + + + 6264 + -11559 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Number of values in the series + 852583d5-02e3-461f-9266-a3dfec10c15f + X-1 + Count + Count + false + 25dab1fe-bf58-46f1-88f1-765144b0f83e + 1 + + + + + + 6230 + -11549 + 49 + 20 + + + 6264 + -11539 + + + + + + 1 + + + + + 1 + {0} + + + + + 10 + + + + + + + + + + + 1 + Series of numbers + 57b29127-b6a6-41f6-b11a-b34d0fc69b18 + Series + Series + false + 0 + + + + + + 6309 + -11589 + 34 + 60 + + + 6327.5 + -11559 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fda64ac3-64ee-44d2-a85b-dbf06a8abab6 + Relay + + false + d52daa8c-d036-4514-89a1-a65a22afed24 + 1 + + + + + + 6266 + -11342 + 40 + 16 + + + 6286 + -11334 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 596517f6-713f-4075-9483-f7a574b0e19e + Relay + + false + 37a6cc2b-8768-4402-802b-d942b86b98a1 + 1 + + + + + + 6266 + -11706 + 40 + 16 + + + 6286 + -11698 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + ca7e90ca-36de-4b85-91dd-2a6bfb87f411 + d2fbc32e-469f-4f0b-93fb-f74302684933 + 8d9eea06-9076-4a6f-9483-ad59d9ef3391 + 908bebb3-fbd6-4b4e-b2f6-d2736d675238 + 60dc3701-2781-4a3c-894d-37a06a9d5c61 + fda64ac3-64ee-44d2-a85b-dbf06a8abab6 + 596517f6-713f-4075-9483-f7a574b0e19e + 7 + 5d884223-a380-4cfe-930f-a9443533a48d + Group + + + + + + + + + + + 2dc44b22-b1dd-460a-a704-6462d6e91096 + Curve Closest Point + + + + + Find the closest point on a curve. + true + bdc296e4-56d8-4c36-b73c-ab2b716e23aa + Curve Closest Point + Curve Closest Point + + + + + + 6226 + -11206 + 120 + 64 + + + 6276 + -11174 + + + + + + Point to project onto curve + e9b75eac-899a-49d3-9f72-687ec430c2f8 + Point + Point + false + 8219b582-1576-4bfa-9f90-be383d8c3e99 + 1 + + + + + + 6228 + -11204 + 33 + 30 + + + 6246 + -11189 + + + + + + + + Curve to project onto + 87ae4912-7c18-4fc3-b31f-559eecdfd639 + Curve + Curve + false + ad8132cb-3abf-4b13-8343-c8709d4759c3 + 1 + + + + + + 6228 + -11174 + 33 + 30 + + + 6246 + -11159 + + + + + + + + Point on the curve closest to the base point + 9fc4a438-a8c7-4ce5-8f03-4e310d0b37a5 + Point + Point + false + 0 + + + + + + 6291 + -11204 + 53 + 20 + + + 6319 + -11194 + + + + + + + + Parameter on curve domain of closest point + 89845a1b-46ab-4e3a-bcb1-4ff881cc2b19 + Parameter + Parameter + false + 0 + + + + + + 6291 + -11184 + 53 + 20 + + + 6319 + -11174 + + + + + + + + Distance between base point and curve + 8939ebd8-4e6e-4d1e-8163-b668fa68ec0c + Distance + Distance + false + 0 + + + + + + 6291 + -11164 + 53 + 20 + + + 6319 + -11154 + + + + + + + + + + + + 4c4e56eb-2f04-43f9-95a3-cc46a14f495a + Line + + + + + Create a line between two points. + true + 546f285b-4beb-4144-9382-320016283c77 + Line + Line + + + + + + 6229 + -11285 + 114 + 44 + + + 6301 + -11263 + + + + + + Line start point + 813f5e40-ea11-4d7d-90c1-b641e7692f7a + Start Point + Start Point + false + 9fc4a438-a8c7-4ce5-8f03-4e310d0b37a5 + 1 + + + + + + 6231 + -11283 + 55 + 20 + + + 6260 + -11273 + + + + + + + + Line end point + 851ca79c-c1a3-4fe4-bddf-03877ab89978 + End Point + End Point + false + 8219b582-1576-4bfa-9f90-be383d8c3e99 + 1 + + + + + + 6231 + -11263 + 55 + 20 + + + 6260 + -11253 + + + + + + + + Line segment + 7567cf8f-c1ce-4de5-802b-ab02be89c5c6 + Line + Line + false + 0 + + + + + + 6316 + -11283 + 25 + 40 + + + 6330 + -11263 + + + + + + + + + + + + 2fcc2743-8339-4cdf-a046-a1f17439191d + Remap Numbers + + + + + Remap numbers into a new numeric domain + true + adcf5e4a-a298-48ab-9df6-dd3f9f0b4650 + Remap Numbers + Remap Numbers + + + + + + 6229 + -12449 + 115 + 64 + + + 6284 + -12417 + + + + + + Value to remap + 7f759d12-003e-4645-8b11-28b08ff6a197 + Value + Value + false + c8458fc2-22d5-49ec-9526-921fffc74c78 + 1 + + + + + + 6231 + -12447 + 38 + 20 + + + 6251.5 + -12437 + + + + + + + + Source domain + 0554d7ba-ae8c-4fda-9cf0-42bffef25e89 + Source + Source + false + a0a45e63-1b6f-4711-88b1-077df63ece52 + 1 + + + + + + 6231 + -12427 + 38 + 20 + + + 6251.5 + -12417 + + + + + + 1 + + + + + 1 + {0} + + + + + + 0 + 1 + + + + + + + + + + + + Target domain + fe56a12a-5cae-4834-8fd3-28d4c98adfe0 + Target + Target + false + 0 + + + + + + 6231 + -12407 + 38 + 20 + + + 6251.5 + -12397 + + + + + + 1 + + + + + 1 + {0} + + + + + + -1 + 1 + + + + + + + + + + + + Remapped number + b07c464b-7508-4d52-8cda-67fd765fd625 + Mapped + Mapped + false + 0 + + + + + + 6299 + -12447 + 43 + 30 + + + 6322 + -12432 + + + + + + + + Remapped and clipped number + db220398-2d50-4ecc-806c-9b23a9ba9deb + Clipped + Clipped + false + 0 + + + + + + 6299 + -12417 + 43 + 30 + + + 6322 + -12402 + + + + + + + + + + + + f44b92b0-3b5b-493a-86f4-fd7408c3daf3 + Bounds + + + + + Create a numeric domain which encompasses a list of numbers. + true + 3d832594-c250-49c3-9bff-92f1a21aba3b + Bounds + Bounds + + + + + + 6225 + -12367 + 122 + 28 + + + 6289 + -12353 + + + + + + 1 + Numbers to include in Bounds + 603b1781-54c6-4c52-b063-9e48d4e6c75f + Numbers + Numbers + false + c8458fc2-22d5-49ec-9526-921fffc74c78 + 1 + + + + + + 6227 + -12365 + 47 + 24 + + + 6252 + -12353 + + + + + + + + Numeric Domain between the lowest and highest numbers in {N} + a0a45e63-1b6f-4711-88b1-077df63ece52 + Domain + Domain + false + 0 + + + + + + 6304 + -12365 + 41 + 24 + + + 6326 + -12353 + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + c8458fc2-22d5-49ec-9526-921fffc74c78 + Relay + + false + 596517f6-713f-4075-9483-f7a574b0e19e + 1 + + + + + + 6266 + -12320 + 40 + 16 + + + 6286 + -12312 + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 8063539f-a3dc-466d-9ba3-7180c7e62bf9 + Multiplication + Multiplication + + + + + + 6245 + -12648 + 82 + 44 + + + 6276 + -12626 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + c61fb749-55ce-41e5-8589-57ac2cdf2d22 + A + A + true + 4e40b01d-4406-480b-9724-98fc3587484a + 1 + + + + + + 6247 + -12646 + 14 + 20 + + + 6255.5 + -12636 + + + + + + + + Second item for multiplication + 0e0ab553-e03b-46f2-ab30-43780a8fb0df + B + B + true + 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 + 1 + + + + + + 6247 + -12626 + 14 + 20 + + + 6255.5 + -12616 + + + + + + + + Result of multiplication + 295635ee-a9ce-4ef3-9c2b-12e905901756 + Result + Result + false + 0 + + + + + + 6291 + -12646 + 34 + 40 + + + 6309.5 + -12626 + + + + + + + + + + + + + + ce46b74e-00c9-43c4-805a-193b69ea4a11 + Multiplication + + + + + Mathematical multiplication + true + 00fa5c8a-02eb-4761-95cf-17938ac4d336 + Multiplication + Multiplication + + + + + + 6245 + -12541 + 82 + 44 + + + 6276 + -12519 + + + + + + 2 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + First item for multiplication + 2dc8faa7-8c38-48f2-b653-c01291870293 + A + A + true + 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 + 1 + + + + + + 6247 + -12539 + 14 + 20 + + + 6255.5 + -12529 + + + + + + + + Second item for multiplication + 8617c918-11f5-4dda-be69-dac6e7b9d952 + B + B + true + b07c464b-7508-4d52-8cda-67fd765fd625 + 1 + + + + + + 6247 + -12519 + 14 + 20 + + + 6255.5 + -12509 + + + + + + + + Result of multiplication + 4e40b01d-4406-480b-9724-98fc3587484a + Result + Result + false + 0 + + + + + + 6291 + -12539 + 34 + 40 + + + 6309.5 + -12519 + + + + + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 + Relay + + false + 6e9b77db-7611-4fec-817e-dc345f560150 + 1 + + + + + + 6266 + -12476 + 40 + 16 + + + 6286 + -12468 + + + + + + + + + + 33bcf975-a0b2-4b54-99fd-585c893b9e88 + Digit Scroller + + + + + Numeric scroller for single numbers + 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 + Digit Scroller + + false + 0 + + + + + 12 + + 3 + + 0.166666666 + + + + + + 6162 + -12574 + 250 + 20 + + + 6162.426 + -12573.44 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + adcf5e4a-a298-48ab-9df6-dd3f9f0b4650 + 3d832594-c250-49c3-9bff-92f1a21aba3b + c8458fc2-22d5-49ec-9526-921fffc74c78 + 8063539f-a3dc-466d-9ba3-7180c7e62bf9 + 00fa5c8a-02eb-4761-95cf-17938ac4d336 + 7e1bcab0-791a-4cf6-9d15-abdf3cb57708 + 068d8357-a8c2-4f51-9165-b74a5e0a9cc5 + 7 + 7d567dbe-59c9-46d3-9655-4410f60a7d5b + Group + + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + b254e5d4-ce8a-4e90-b368-2b8eb4b0417d + 451ff23e-89b8-402c-80d2-64b65759d57e + bdc296e4-56d8-4c36-b73c-ab2b716e23aa + 546f285b-4beb-4144-9382-320016283c77 + 4 + e5a8f892-036a-46a8-b974-6fbab0908172 + Group + + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + FORMAT("{0:R}",O) + true + d1d65df3-8df7-492c-a128-ff12057e14c9 + true + Expression + Expression + + + + + + 6189 + -11806 + 194 + 28 + + + 6289 + -11792 + + + + + + 1 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 5bb9ba03-f1af-4f82-9d2e-63259bf0ca5a + true + Variable O + O + true + fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f + 1 + + + + + + 6191 + -11804 + 14 + 24 + + + 6199.5 + -11792 + + + + + + + + Result of expression + 1fb8b882-2cd6-463e-85c4-24f846ba2c66 + true + Result + + false + 0 + + + + + + 6372 + -11804 + 9 + 24 + + + 6378 + -11792 + + + + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + bb1e236b-c251-43e2-a46f-147a0c41ea1e + Panel + + false + 1 + 1fb8b882-2cd6-463e-85c4-24f846ba2c66 + 1 + Double click to edit panel content… + + + + + + 6194 + -12071 + 185 + 271 + + 0 + 0 + 0 + + 6194.945 + -12070.13 + + + + + + + 255;255;255;255 + + true + true + true + false + false + true + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + 5d6f3284-f12d-4c9a-8dc5-da04ec4cd217 + Relay + + false + bb1e236b-c251-43e2-a46f-147a0c41ea1e + 1 + + + + + + 6266 + -12115 + 40 + 16 + + + 6286 + -12107 + + + + + + + + + + b6236720-8d88-4289-93c3-ac4c99f9b97b + Relay + + + + + 2 + A wire relay object + fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f + Relay + + false + 596517f6-713f-4075-9483-f7a574b0e19e + 1 + + + + + + 6266 + -11759 + 40 + 16 + + + 6286 + -11751 + + + + + + + + + + c552a431-af5b-46a9-a8a4-0fcbc27ef596 + Group + + + + + 1 + + 255;255;255;255 + + A group of Grasshopper objects + d1d65df3-8df7-492c-a128-ff12057e14c9 + bb1e236b-c251-43e2-a46f-147a0c41ea1e + 5d6f3284-f12d-4c9a-8dc5-da04ec4cd217 + fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f + 4 + b5316373-0425-4894-a649-441530005892 + Group + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + bcd02164-22fd-4082-b198-f00c44c0d50c + Create Material + Create Material + + + + + + 6214 + -12877 + 144 + 104 + + + 6298 + -12825 + + + + + + Colour of the diffuse channel + b9f7ecfb-c2ff-45da-beb9-7ca1d869183a + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -12875 + 67 + 20 + + + 6251 + -12865 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;201;201;201 + + + + + + + + + + + + Colour of the specular highlight + 5d4b8905-fde4-46cb-bb21-f9556b7e767f + Specular + Specular + false + 0 + + + + + + 6216 + -12855 + 67 + 20 + + + 6251 + -12845 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + 5f5dd87f-6aa0-4a31-9b1f-5b6ecbb132ca + Emission + Emission + false + 0 + + + + + + 6216 + -12835 + 67 + 20 + + + 6251 + -12825 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + a2e60ebe-2319-4f43-a538-9a09b21af635 + Transparency + Transparency + false + 0 + + + + + + 6216 + -12815 + 67 + 20 + + + 6251 + -12805 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + 2159db6e-25b3-4b04-bb4e-79ad0c0a9066 + Shine + Shine + false + 0 + + + + + + 6216 + -12795 + 67 + 20 + + + 6251 + -12785 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + 8704ff6e-bc31-4d98-a2c5-bd48a824d72b + Material + Material + false + 0 + + + + + + 6313 + -12875 + 43 + 100 + + + 6336 + -12825 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + fb987159-f677-435a-b88f-f7b7c184e0ed + Custom Preview + Custom Preview + + + + + + + 6245 + -12948 + 82 + 44 + + + 6313 + -12926 + + + + + + Geometry to preview + true + a6aac1e8-b58b-4ff2-aff7-35346793077d + Geometry + Geometry + false + ab4c4690-4e7b-4578-b19a-e0204f2db4d4 + 1 + + + + + + 6247 + -12946 + 51 + 20 + + + 6274 + -12936 + + + + + + + + The material override + 5612cc33-cc4b-4d1c-8eae-47fdeeb43883 + Material + Material + false + 8704ff6e-bc31-4d98-a2c5-bd48a824d72b + 1 + + + + + + 6247 + -12926 + 51 + 20 + + + 6274 + -12916 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 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 + 58175766-8ff2-46f7-b4a8-e48cfff68dc2 + Evaluate Length + Evaluate Length + + + + + + 6214 + -13036 + 144 + 64 + + + 6288 + -13004 + + + + + + Curve to evaluate + 3cc99759-1571-450e-bdbf-12d1d7fffc45 + Curve + Curve + false + ab4c4690-4e7b-4578-b19a-e0204f2db4d4 + 1 + + + + + + 6216 + -13034 + 57 + 20 + + + 6246 + -13024 + + + + + + + + Length factor for curve evaluation + 7974b151-0f7e-441a-a419-b52c5e7762f8 + Length + Length + false + 0 + + + + + + 6216 + -13014 + 57 + 20 + + + 6246 + -13004 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + If True, the Length factor is normalized (0.0 ~ 1.0) + 130576c2-f9f0-475b-ae3a-3baec7ded4d4 + Normalized + Normalized + false + 0 + + + + + + 6216 + -12994 + 57 + 20 + + + 6246 + -12984 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + Point at the specified length + 644f4835-d6e0-4731-ab02-86879cc07d8d + Point + Point + false + 0 + + + + + + 6303 + -13034 + 53 + 20 + + + 6331 + -13024 + + + + + + + + Tangent vector at the specified length + cc3bb07c-66ec-445e-ab89-fa978bd6c34b + Tangent + Tangent + false + 0 + + + + + + 6303 + -13014 + 53 + 20 + + + 6331 + -13004 + + + + + + + + Curve parameter at the specified length + 0de9c377-26b0-4dbc-905d-928ef334bd09 + Parameter + Parameter + false + 0 + + + + + + 6303 + -12994 + 53 + 20 + + + 6331 + -12984 + + + + + + + + + + + + 2b2a4145-3dff-41d4-a8de-1ea9d29eef33 + Interpolate + + + + + Create an interpolated curve through a set of points. + 7f0e5128-4571-48ea-b8e6-5e2d9f8f89f4 + Interpolate + Interpolate + + + + + + 6224 + -13141 + 125 + 84 + + + 6291 + -13099 + + + + + + 1 + Interpolation points + 77cd0748-1530-4300-b0fd-50f5dcf71836 + Vertices + Vertices + false + 644f4835-d6e0-4731-ab02-86879cc07d8d + 1 + + + + + + 6226 + -13139 + 50 + 20 + + + 6252.5 + -13129 + + + + + + + + Curve degree + 81d361f0-4bf4-4580-8e3a-d0e69c565af2 + Degree + Degree + false + 0 + + + + + + 6226 + -13119 + 50 + 20 + + + 6252.5 + -13109 + + + + + + 1 + + + + + 1 + {0} + + + + + 1 + + + + + + + + + + + Periodic curve + f8e0ce3e-2d77-4fe0-9fc3-9e5619e39373 + Periodic + Periodic + false + 0 + + + + + + 6226 + -13099 + 50 + 20 + + + 6252.5 + -13089 + + + + + + 1 + + + + + 1 + {0} + + + + + false + + + + + + + + + + + Knot spacing (0=uniform, 1=chord, 2=sqrtchord) + e97773f7-add3-4ad9-a8d9-7357f7e34b31 + KnotStyle + KnotStyle + false + 0 + + + + + + 6226 + -13079 + 50 + 20 + + + 6252.5 + -13069 + + + + + + 1 + + + + + 1 + {0} + + + + + 2 + + + + + + + + + + + Resulting nurbs curve + 27041c5f-56c1-4b37-ac6a-ddb9e94b9761 + Curve + Curve + false + 0 + + + + + + 6306 + -13139 + 41 + 26 + + + 6328 + -13125.67 + + + + + + + + Curve length + d12d6055-f416-42f7-863f-475c32c26ec4 + Length + Length + false + 0 + + + + + + 6306 + -13113 + 41 + 27 + + + 6328 + -13099 + + + + + + + + Curve domain + fbb957ed-da2f-4310-827b-b483e3c31eca + Domain + Domain + false + 0 + + + + + + 6306 + -13086 + 41 + 27 + + + 6328 + -13072.33 + + + + + + + + + + + + 76975309-75a6-446a-afed-f8653720a9f2 + Create Material + + + + + Create an OpenGL material. + true + ed472bf0-125b-4f32-b42b-39c992e6d9cb + Create Material + Create Material + + + + + + 6214 + -13268 + 144 + 104 + + + 6298 + -13216 + + + + + + Colour of the diffuse channel + e9fd61d4-5799-4634-9207-8bdd1d43ad00 + Diffuse + Diffuse + false + 0 + + + + + + 6216 + -13266 + 67 + 20 + + + 6251 + -13256 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;176;176;176 + + + + + + + + + + + + Colour of the specular highlight + 79b12ffc-ae0d-47a0-83be-34f3563276c1 + Specular + Specular + false + 0 + + + + + + 6216 + -13246 + 67 + 20 + + + 6251 + -13236 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;255;255 + + + + + + + + + + + + Emissive colour of the material + db5b97a4-f2e8-4a1c-92d8-ee5135bb6d2c + Emission + Emission + false + 0 + + + + + + 6216 + -13226 + 67 + 20 + + + 6251 + -13216 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;0;0;0 + + + + + + + + + + + + Amount of transparency (0.0 = opaque, 1.0 = transparent + 25eee609-6691-464c-a476-7d0367568ba1 + Transparency + Transparency + false + 0 + + + + + + 6216 + -13206 + 67 + 20 + + + 6251 + -13196 + + + + + + 1 + + + + + 1 + {0} + + + + + 0.5 + + + + + + + + + + + Amount of shinyness (0 = none, 1 = low shine, 100 = max shine + b276f2be-1b39-4dee-95c2-4e37bd9495f5 + Shine + Shine + false + 0 + + + + + + 6216 + -13186 + 67 + 20 + + + 6251 + -13176 + + + + + + 1 + + + + + 1 + {0} + + + + + 100 + + + + + + + + + + + Resulting material + a3b70218-bf86-44d7-b85b-42d73860ede0 + Material + Material + false + 0 + + + + + + 6313 + -13266 + 43 + 100 + + + 6336 + -13216 + + + + + + + + + + + + 537b0419-bbc2-4ff4-bf08-afe526367b2c + Custom Preview + + + + + Allows for customized geometry previews + true + f5fa8291-dd0e-4bfe-ac98-6c010ce17e83 + Custom Preview + Custom Preview + + + + + + + 6245 + -13334 + 82 + 44 + + + 6313 + -13312 + + + + + + Geometry to preview + true + 0a91ebd1-7f21-41aa-9935-e999902a2c92 + Geometry + Geometry + false + 27041c5f-56c1-4b37-ac6a-ddb9e94b9761 + 1 + + + + + + 6247 + -13332 + 51 + 20 + + + 6274 + -13322 + + + + + + + + The material override + 3988bf1a-7196-4af2-8255-aa57ec70bf82 + Material + Material + false + a3b70218-bf86-44d7-b85b-42d73860ede0 + 1 + + + + + + 6247 + -13312 + 51 + 20 + + + 6274 + -13302 + + + + + + 1 + + + + + 1 + {0} + + + + + + 255;221;160;221 + + + 255;66;48;66 + + 0.5 + + 255;255;255;255 + + 0 + + + + + + + + + + + + + + + 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef + Quick Graph + + + + + 1 + Display a set of y-values as a graph + 4bdc1d70-a5c8-4920-b546-4ff1c066b8aa + Quick Graph + Quick Graph + false + 0 + fbff5ed3-bbfa-4fe5-a069-e8e4b6b8943f + 1 + + + + + + 6211 + -12267 + 150 + 150 + + + 6211.765 + -12266.65 + + -1 + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + f582e4af-ec7c-4482-af00-9cefb7455e43 + true + Expression + + + + + + + 7514 + 14389 + 79 + 44 + + + 7556 + 14411 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + 222fbf31-00c4-424d-89d6-cc97943950db + true + Variable X + X + true + 88b8ffb1-067f-4ad4-ae02-6871e4a07719 + 1 + + + + + + 7516 + 14391 + 14 + 20 + + + 7524.5 + 14401 + + + + + + + + Expression variable + e2cfc35e-1039-4f48-9eb2-c4f88beb058c + true + Variable O + O + true + 2ac3b344-e8c4-43f0-b9bd-40e4f55f130c + 1 + + + + + + 7516 + 14411 + 14 + 20 + + + 7524.5 + 14421 + + + + + + + + Result of expression + e9108fb0-4e98-43b0-a1c1-8a485719f55c + true + Result + + false + 0 + + + + + + 7582 + 14391 + 9 + 40 + + + 7588 + 14411 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + 2ac3b344-e8c4-43f0-b9bd-40e4f55f130c + true + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 7533 + 14459 + 50 + 24 + + + 7558.999 + 14471.85 + + + + + + + + + + 9df5e896-552d-4c8c-b9ca-4fc147ffa022 + Expression + + + + + Evaluate an expression + X^O + true + 928fca06-febb-4fb7-aab8-93abe69f5560 + true + Expression + + + + + + + 7559 + 22737 + 79 + 44 + + + 7601 + 22759 + + + + + + 2 + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + ba80fd98-91a1-4958-b6a7-a94e40e52bdb + 1 + 8ec86459-bf01-4409-baee-174d0d2b13d0 + + + + + Expression variable + dd8dd510-c687-4e4d-9a6b-056374d6a12c + true + Variable X + X + true + 59c34dbd-eb3c-4e58-b214-d73e4bd181b8 + 1 + + + + + + 7561 + 22739 + 14 + 20 + + + 7569.5 + 22749 + + + + + + + + Expression variable + fdc35c21-c0d3-4b47-ba8c-532a72d34942 + true + Variable O + O + true + d0d4ab4a-e13c-4e54-8bf2-fdfe06c9fb13 + 1 + + + + + + 7561 + 22759 + 14 + 20 + + + 7569.5 + 22769 + + + + + + + + Result of expression + 4e078a63-85c7-41a6-bd1b-5e79f349625e + true + Result + + false + 0 + + + + + + 7627 + 22739 + 9 + 40 + + + 7633 + 22759 + + + + + + + + + + + + + + 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 + Number + + + + + Contains a collection of floating point numbers + d0d4ab4a-e13c-4e54-8bf2-fdfe06c9fb13 + true + Number + Number + false + b6299172-9c55-49c8-9960-9ab31cdc82a8 + 1 + + + + + + 7585 + 22813 + 50 + 24 + + + 7610.37 + 22825.18 + + + + + + + + + + de131812-96cf-4cef-b9ee-7c7031802751 + 00000000-0000-0000-0000-000000000000 + InfoGlasses + + + + + To show the components' advances information.Right click to have advanced options + 5074239d-8bac-47ec-9b19-4872f933ce36 + 0 + InfoGlasses + InfoGlasses + 0 + 0 + + + + + + 255;255;255;255 + + + 255;214;214;214 + + true + + 255;128;128;128 + + false + 0 + true + false + + + + + + 6728 + 3768 + 172 + 28 + + + 6829 + 3782 + + + + + + Run + 076812b3-d391-48b9-a973-f2cf43ed2cd6 + Run + Run + false + 0 + + + + + + 6730 + 3770 + 24 + 24 + + + 6803.5 + 3782 + + + + + + 1 + + + + + 1 + {0} + + + + + true + + + + + + + + + + + + + + + + + + + + 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 + + + + + \ No newline at end of file diff --git a/ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/Z7.XHG.ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ◯ⵙ◯ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ.GHX.7Z b/ⵙ∣❁∣ⵙ✤ⵙ✻ⵙЭЄⵙᗩⵙߦⵙറⵙ◯ⵙ◯ⵙറⵙߦⵙᗩⵙЭЄⵙ✻ⵙ✤ⵙ∣❁∣ⵙ/ⵙᴥⵙᗱᗴⵙ✤ⵙᗱᗴⵙᙏⵙ◯ⵙᗱᗴⵙᑐᑕⵙИNⵙᗱᗴⵙᴥⵙᗱᗴⵙꗳⵙꖴⵙᗝⵙ◯ⵙᗱᗴⵙᴥⵙᑎⵙ✤ⵙᗩⵙᗯⵙᴥⵙᑎⵙᑐᑕⵙ◯ⵙ◯ⵙᑐᑕⵙᑎⵙᴥⵙᗯⵙᗩⵙ✤ⵙᑎⵙᴥⵙᗱᗴⵙ◯ⵙᗝⵙꖴⵙꗳⵙᗱᗴⵙᴥⵙᗱᗴⵙИNⵙᑐᑕⵙᗱᗴⵙ◯ⵙᙏⵙᗱᗴⵙ✤ⵙᗱᗴⵙᴥⵙ/Z7.XHG.ⵙ⠀∷⠀ⵙ⠀⊚⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᙏ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ИN⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ꖴ⠀ⵙ⠀ᗝ⠀ⵙ⠀◯⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀✤⠀ⵙ⠀ᗩ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᑐᑕ⠀ⵙ◯ⵙ◯ⵙ⠀ᑐᑕ⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗯ⠀ⵙ⠀ᗩ⠀ⵙ⠀✤⠀ⵙ⠀ᑎ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᗝ⠀ⵙ⠀ꖴ⠀ⵙ⠀ꗳ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ИN⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀◯⠀ⵙ⠀ᙏ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀✤⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀⊚⠀ⵙ⠀∷⠀ⵙ.GHX.7Z new file mode 100644 index 0000000000000000000000000000000000000000..651757894528f2ac88d162bb8a6019e6a97aeede GIT binary patch literal 636845 zcmV(wKy8k)8nK0 zf$z36uwh`e7tHR*X2ANqCq#uLl&K;($Q4sA=|uf5e~i&4VZ+D+Q+YjoF^s>GGEwEc zDQb)RIytLypB-l89l$Q)y+|4)cO<_9zQp0rJ#lfI4*~QL`;3>8n^DlQPNBx35m<#w zAHXIX{6mPXos12AoP`44w!ov<1D{IO5$Ef`{X=%&qtnD16qQb+O*%7txBzT~4 zv?btQJB=mNwRn+Hl z+5XdDmpy@-RR3-(=>|hM**ApAsc%GVpHN{w!yg0IvAoNx)hA*M@$V*ZLQ%5itFiYW zlvHL!7WNiup5MyLN^Ao-E!Nlcy=bgJSE5umhr<;Sl~8KMtrR{C)#8<-9W@Y3|J)-I z6}GAc#k4+bq9jCOE*nBVWwx7b4W$;h%T7dLHU&P(B=`lO$U=QeCR6Co%ooqrAiSAy z?UJvf9{}pw_9@YTX$YX5cd6m>juGC6scu_YGA%WBgaq)vW!q!mA6CFeUXDON?=2#L ze050yhG9p~DsByduvDish$+HGOG^hgb{-aleB~Pc{~+zqaQEl=BW&ljm8>eS-)X;! zzyoR7Xki)sac(VV0F|SiftH}r0nH1)zuvRmH-%QE*|Vz1rsvJ`d3|+Gu?a>N-V%=F zZ6Aa^>KUdgLs9a}4Tkgxv_talGk6$GR>VB~98OMci%ILk^zD!T@p1?j9nls% zVTK5}DR)63aDbNcbiow^xVsMqc|D4U3{Lz23>ioi^`w&Fx)ldGA22iTX^Xd(25cBK zM7qFuGUe|hEFuVg4Us9u;oX_bQD_#ipaCZ=J+ug3GwNcNZfeFHT??_B(dfU zV!-fSX*Wvc8L!R!!bLXj4&e@b510xBIR1fmdBz?B&QPP^Vb>_|DYKh70;yyjy-$9< zsd1Zuqm`tZM=m7`o}5rAT~2GJ1N{ryzVw`?X507Z{@{w9F(!^{USHm>4yf!dWOpg{hltyZ16D>8>{XtKnQ*IEe%62`Se4aL>|t>CG-9L>U)T*mlA?q38SQ# zjr2_QFy#`FzGe=aUU(pIqSy5J4W#HTZQ);$h`K|3TF+xV-&Zr#*6d(*uUQ2n$5DVe z{-e0d7>w80vGB6fJa}w>Rr|GQl?MmE!pJZ)_q5RR1G!VzL%=xgNH*q+GoNWSX$^63 zQ@XXvsmLw@aR>0#ZIpiFQK{g$7zZQ%PauYq7DU=rjHA*O=TVpr{;ZB7$pu75#EKDF zJ%HsCgK@@Y^TD4CH64 z=ZQzDQ%;LE{YGrFO>IAy%H>TF+p+4Hz^@O`7~Dz6)FIw~Pj;AGp`*@3?wX;zGaa0I z#h@O))T!T`r$Qh%ZvVgbDv%xf%vBDaDgX)^TdhR11-kH3_Jw|~!{p>N%0ARa?a^-o zdX5*)46?xExD+C*@+eE012{cuTz&Xcsnl_viAF7MQg?Jd?gvD;uQ&K^%?C%@xl1G; zwQ1_UU7nzG`}I$CA|BDuJFR@ty4 zBny?A#BQ*+;mO#Ynb(Vdoej`Zi-i&naZUF{Dk^Jv;{M0`FWOSrEnQU+6j|ikB*e9M zRnS<)9~Wh>7AW>)ZoVLVK$V%&#s~*JqhO4#f99O+bC^xk33Bf( za~E=W*``dtj@(Ho!;6!0?)`u^^LKUtiW=rapf|>ZQG>+AoJd)M#1>Pl0Lug0Cw>EY z3~JX}Hr%u>r7leAv+>738Eg;^i9|C4KImHF45at(wvhDN+n(oQm${5mJ8au>mR#NW zQ-IT1VZ(w}NTQ)g(odrD?~1m_J8RBtE?BqdG$@;?j`;Vbn8GVNsHh%7mIHdVVm_l$ z?`&Y{Nv?i&E-jd^svioRHZ5VppBW7XC0m1Oy7s)Hnk{eR5EDwK{Gc0cCPG=ikA3O9 zo}lGSW=r0hYaBnkD$x4vb5C#@es%FH-%3oEz1T;;vr7A?rkLhQZbfrHzo%*#s8e3CZi_=B{y?Bn*9;d2l^5#Go_$f$EegCeKVCwrnAGqZ7+rD0g!v>RD%nlaOHY-V z6V03Lg`wtzNAJKfPZ64j1$}E`R=KTHcR_2984zsb>!%=cLgtY_zm==v@fG1erJ_r9 z?y&v6j5j4L2Xn2jwcSr04UtWGJ?)0}saL1dvez!+$^v6BlCgz^qwT ztEWS=%i}u|iFGSXRY0&N#Wua=4PCgItd-Qj&jzOmo)50<=5FiPL3`}aJ@Fq_h0YLr7mtO;M<>2fE`KL{l0GDc!tGeHMn1#YhX(wqAu&g(W4cfqxvWZ6Sn$I7dj*sDlOcNaaw3h z+R%x)47K&-_WM5|SMFmPm+dtS2(=oVE4W9-bXH_k!=p~aaSsAlQ@n(K6b$opx;e?* z6oKDXXu|&1PVu+-F~`N^CY$kRy?xIN#(F}jl^h|5lj?xox{KLZTuu8ifB@^n!f8fl zY(&{k%`UMLC$2mwfrxkDEt62~6breB`jqK;n9wa5c@Qp6F4Fa8WmLtK*2)@BVaZm* zI$JKK?P`-fPz$8Ps*!etK-ls0fzws@31H#ICFB82!e-F_rb?~c&MTbqB})ohkbN># z(xw4YJC*7@V(tV+2P6jbLdsg?f3%!NU0e;B_RX9u!Ij*Got#!xBS=z1L}jhN#p}me zj+CV$Z3F+k@C<+@5XP8e%R%rq^{F)XTTA4s6@hHxu3UHKEW!nFi`lMGKG{sUnFUy) z9og!Hk-VrDN_L^1y+qx|{A41lZozxBJmwoTfRAI|R`1iarm{&@HP!XH6&+2me|zV# zVw1rqy@>}M#n>({RGnag!HxgBIwbT=IYdp@-zVRpz3lZxHIOfhoF{e zo-2Mu1Xf+M(h71Qn8PGA`A?r%Fv*)~c$0Vkja?*{`_(Hrj8W+~)w3CK*djpxf{U~0jIFcU@8w7}34WnaqL##&dZyQTtxKi9gfN2!k{~#IJ9BqKgz&L!dOg1GcgI~CNF#c5Gr`w zFCDI**1HZ{QSZ7wX?tvT-!l4V1~`+$_{{vcSuEp=C)<6=z!iL9D#7bd!&;z%PXGqz z3(UoWldqd6CS^3^6{aV(m<nx`7qD3qkD)-9jL4cTtRX|8L1HlF#?i+4gUu0D9-ZbiK`~5e|E%7s{59^4Z2}Q|j z?9YnE&Lf%iO#N&m;9Hm%j!TrN@JCs4`?-t!_*Zlmq`~}?uiF~XQHsd(1gdIj;~`29mZnw zaY2yiSF+)x$R*D&0>;|bXXZ%xf!`22xCBsgL;*~+lB13IQ^AQTfzJj+F8YRDa!_M; zpSA@HQQ101v@4dfh+E(fo#s}v>bl*Rda*;E{n1y2$m-RP%u&cW)Hu?SHX|Ct!_?OB zr(2`~M<0bT9ZcJX{!4+h-NMge15|)Gn}mJY)muw9VyE2LK2C%^?bFS)%x`&Z6Dr}5 zDVZbw;kH1pdcOH3!H-97(RZv~`%ThNUj=)H{hrzCn5mquWI|ihTQL0%R;{K_3Eko1 zF)Akx>!*6496@8GW9@Q)@JZ;~q&0;PX08vwt2>X+ZHIaYr7<^lHaTfCM&A7eM|hk0 z_%X7fNFXI;ddz-tsr?|9t1fB~`9z_iX*kJmo*q`~n@N&RHG9%ZK^JlapHAb*xkRO>i%KFpdO8{s+ z1J{5|?5UUla@4X`vy%ueH-$z@a_XQTC$>WGIqEBgFk8K_$p|HiKXzRuhVrFx8Tn%R zVQegf&SibQZism$Pu>fQgo_1_W^4S;ET)(`(BBKyel9c^3UCB|B2;ZO_f~8dS=s((1U|UaPP>pT zc#IRYue*Ww$Bsst^`BZl7G@t88Lwr44+sx>Cnac0`39L-A1w+6pTBxNaiXt14k79u zdyzB(OF_B~aS`#^QK_d5F9#I&Ciq(7 z7tFg}c>wDl3=kaIU@ZnWH}@lZp+7=9I8gGmV|+4%1kiJCc?d{FjfC z!aI?>r(#3u4G@pF%2Vq%itEV_X{iePk!{>Hz#*M(y+_&`<&~e-pFb*sf;*@4aAuYQb-3DMXHZ`p#=(L}a_P(yp)v0};qwP5j-lL%@7csM! z{T$x|Vkc_RJr9`ON1^RFr*b%mA>D2L&x%M#=qTCKABb@M>tpn~QxYV`Q}$F=FZOD_ zexF8C_Z5DVn3x5dSjik+y!%Z@_i*(k#AVC-*k;%)EGDyDsi81KpMf}sO&d!j7oR{# z$z;u<7xnpgu8uPg;S_bva#Nr=Aba;-_N$$VJ1#q=ob7CAQQY0StJXTO7W7Vi0 zpC;!JSUaQdvsIb&T798V@YO|XlXXl{c+ePI@}M5f>&Or-)m+#kVNt}OJKXnCXzH66 zkG#g6qv=5Kj_7YS-YJm@`TQ;xj_HsZODspE1*=e^gJ@PykT*RjU+Q_#9KyQupR}x( z0nZJuy*JcCO)0VCB>Fz7Ls@n=l$0B!d3fc{34CQSaq84+4EjD{2Q)G7#JR0Wcl$$t z+!hfv0(kEP#wr1!y)HzEkjmWkWbvrzk!(D6YdZ(UaHl8~55Cua`mAthQ2 z9qw5C#EqHFk$KHJ3{55uX{sH@Gk@!GDsu9OqjWt{_+OAbAx{u~09Tt>)Zl*}&=MkUk>N6*hiGPNDcHj<~Ox-_2LZLv)qk8-L(7^s&` z2efGMacM;zS_cWHALC?A2#56Sd$C#;%r@fadpC(WS0I$htb4&X)&<-U%D&5tFd{)l zzn7&cPBn*N`Yi6WC0gw0AY)^95d$##YIDc5F#nUA8_=p+qcNIK;+<4twdH+Kl;y-z zq^OC)6$BUL-8Tsa`lq9|o*?|#T#sHD#Y->Wqz1ykHeITuOATPOTfae{K+V>i_(((d z;O%-BBeYQ=jOW{GcomfxW+gk&`*fHk)nzrASL9cG5blrJk2=?G=M!z@yc%jVS*$6d zIo@J`HQWf+9B3z_jvzoeMlr|6X>p+l0RY$Cay?1yYCtX{7u{~WY3YN9 zc+AA}h0@$WP^j}z0#yO?w0oF~?YBMw_z>1l%M%9qrXK8;UaTgdL1R8Z@eAf;(=F8u zm2>l~aJF3V{`o;YC0-VXN~!n3-}r7+S<+AYZRgs%Nl$6|9=BwqXi;2U(rBw{v8I6` zVDZ_6jF#0+t8zC1CF{GZ(zu-H7cq5NTPs*sFR#4!sJrgPA$((G&g!j+Zv5g)2`|Gw z14QF2XPWG;u!jHyfx0Du$FPzheMQ|Cbd00D5>XC_)KYaB!l!)RV|2}~|GobUDUb^L z2&|3dj|bVe_+Sm)%u;sRWpK}Yp)d$4q3gpyu!Ago0_Jhex{Icu0Ko$?-WpBpkQh8R zUje#0KCp0BynwdOO*l(NmorXP^Gl5uVbTLq*e&LNgCTw7;y4{eUr#}(sT@~Py9p)b zf+NgMnZ_Xyc#h6JxZ&)Z-BR9ty8*JVuX?6b(Ga&DVtiL$p3bEUeBmZ$vAjay_Nvon zaxUyr?tmdM^&Fv*$o)0^gL)}-Be#7jiamm`v>Y9|bno8z!#hYEBgIQP#|=~P6&IJH z6!-sg3-`00UlAJ*==`(h4*lIhh!BR%uGUy5@0U<$^DP`x4gD~JJoXPhh_7xKPp1xQ z>hAELsc)Z8g6r)AoqbYb1&3%&&J_Bsk3SkoZ5hu-m!NJ##xM@dSlV?w9Jb~KME^-G zSzxs4nES49z2@6@Ps0QiA@0%%(zy!AX7%M?uAaY#FXEmt6oS2m!P6eDXocV$USj=nyo<8DU~2;~P2^Jw4)ttS)IO3{jLMckMREMM10#GLGAIS@A3 z&pKaUsn2IkRH&S)(i}Zh(8}OC372IK=d($!!}p#tw`9BPQnf3m-0@lRb`4;(97-nj z9a9%0yt2%7^`K8eo8L{UxamY1D@AHdq6!Z$n~#+fW1~j2m=7BWYU&2=lso+3RcIZ~ zg_^g+4^T-_fkvS{C1f}R9swZjc6t9#<|1|D&uRAhR%ZN3Iu_y8nUP+G1zB_VUl0?) zoOl%eDgJ-NMd|a4o&>bZ+wlu*N5dL(5oPJ9Hbh?ho-+6%vA&6%t#pzH z*RM{}yaQJ9cFi(qDyLDqpRuEWKUa|&!KGgB8illZ`_>z^#R)Ay1wD59GSu>e$rFRy zsqsT@Ng;ckqA3bHM@KX~GC2Zwg%h?^qh5!Vx!#SCAPMylr;U%-<^gK#)$S6+%5YJdQ`B~MRCx`W`*DkVAnQ-I}X&@J~s|nI5eEWhia-qU{LsH zyqOX4z3fy}imaIKFGmm9(al$MiNwr%u083SXb3?5nmXA(Uf{c^u zG5&OG$4xcwgrxdbrC`q5@dbS^{#GWgA@yp1QeIoPllRK^LS6e5{N%nEq=M0@I9ixe zt|g{yJg%0WMOz?71&mV*GdS99otv{dmL|%Jfe;-QdWynAA|d59`^4w`WTK2BA+mq=crGX53(UPNH?Vrm;K~Nh}35YmLtp(1T(J z82JuC!&gW~^vC8@dO*ealH$xvUpn^xBX!xmD}GIEp2G39%O2+k5Qb zsvF7xJ`-s}J<4;Aej_aA%6LS?GuUvVl)XtkOJ|li-(xt_uyF6~whv55{VtzobRTBc znK&($Ykse@%57rl@>L{YtwPyxk)X#eIg=J!weGA*NDs zJ@4WvGj$g5`HQ#Dv8#PG$^Ms}a!L$zsk^cR9BmiH*~!s3g2-Hnt1-*!7)>eRry+)vrYx=Nq@dxY2jcQ$@p5FEnovyVInItvb?*zJavSK$ z$KTh*2gX8NHjo9v^uM*W%V!X~%)Y46m?w^J_c(bf&&2?a;1J)ZpVqblW5YQP2r1HA zHHNx@w3>tS!sUY~YqY5R`K|dg_=X8W#8W*ryYPo4hvs+Gt%Ln3U_SCavFeOY`sg`g zE~mIV)#q?O9M&mCdAXs${Rr0P5B5H)_r@N$Tj z8^|sqpCx;xAz9aYue5-8Nev=f;w@{>8a|MM%1RWCwC8yvr@vtRG#-(Fi0&hxj$JvtHTdrF z8rKjY$S9@3xs~$Y|34x4mwvAf;P+^#!O1q4wvkVIv6 z#qCNMP&|BdEn5iI?^t0^CXWXZ#V`#%fiFn~i?M69Dk-hYxx2p>;b20xVYny0Vg;3jhw+tSYt<;>3Lh}dwrTvcrj=FK7T|*{+hx!V-p&Uu z<0=EKFv=(fKqCUH^VM>SPB+Gl{}X)GGOb1lQiK1;q@~|~HHnQWcrUak+;T+tN+4Fr zGKHR-X5-3_J`w{yNHllg^qJ@ygNczv$gXDb4$G>5+R#}bldLiFyZosyA zVjK%R5ABlTk!MS3RXv~Putw+pcGM|g-$AsI`Ec+Dm!mVMv%PW>B7UCIw8oW|LOq`? zMY0+l3yUcZvzW5azYbSvYImhE{`@~Jl+8wi3aBm%HClX_8%g=Z$yM3~>$GFrse6qD zp;yrGk8}8eaupo%8Q{7|$i!(h=F8xa5lP^_U(LX zwhJ2uDYy;w?*3jWxQQ~A`?iNf83Xo}LQQDuHva{{Y~D3C79c35@sBzdey#Q^Em9#R z@{p)8b-6OwT*C=@l0ko^$*QbL@;dbn>NP>o=LdfFL&}3CxHjW}RkAlu`AzuOjjzHjBu$XK1Kr^f$J^0ERq6vwUTUlhk@H%VQEi=u*;%uwfGm+J9hCjsj&)g#pRcp3Bf=T@)}r&qnE%!rsIFZ4emZD zaMJ%e-EQ<`*+A3^%di*I?o>C*a;t8DnR{x)MYWD2k72b7AEtR(1KW^=zBk^@Q$0<7 z&GLg#qK?Z@Ik-vBhY$2h=JFh64zIT1W&cY|0kMFfFJWMBEMDSL=pi#0&cwFt6UYO( ziIFTWF!ibLAq4lVN|<#TJF+jRw6S> z72%sHeSLn%A}hJ3-T%bZkn}q@W{v(7ujkax{K@=&`qzow1GJq}pjJKa&bNr-D|3yF z4v+f8gj!_O8EH(d`}3)dz5@hv{9twG9n*IM&xW0Xh*fp0=scpj{t$m)q&0|jOibW5 z6Qm;VD;Y2eou3}TPWD>gMA;c6# z+uC$&ngQi_ZP6fZh)a2Tm~O!wo0FI;-F-ewzq-cz5y>j+Qx2d+ zPb>>i#Y%$Ra$KgWZ_I=A+s8hr-JOp%BF@jO-^}eqff3Sl7*|K4r$lOj|1)(zFvV7N zin-vYD>U$A08MU_-hEKD(m{e;F#;Ol7WJFd)GnC4L^ip9c_ak=O8m&6Rtc@QK_x&b zQLn(W^>-pK36Fp#y*V9VP(1>7%0CJ*}%thO!_z@eA!XB3hnb zQhqeu=A6Hc8yDEZ_f<8)BZb%;Rdg{r^>6&a?6nFzKiq_ufxx?n{!i=S3sQ_CJ4 zbB+TP^yX=+P&rYqs23%0Vhxgs$z9v&-_jxveR%R!#{`0G-nnhlZZw`9!d2hNO@k2Q zq<^k&?ArvMailp@oMcJl@qB|K%VF8sFzV=7NimcO0PG9e)PD zbO=(01rB~fPvl7?jN)f%w1XwkPXLxj|p?UIm-@Z^H6@G#SpmR`+KtAWuJ`iezA^MKX2=>PBl3%O($ult@=wgVc< zUD&l$NZx0fi3T4ksBgYqRKU3aXJD1@!nEo#?(lA0jg_NgJweK(g;WNC_?gKE(jWRE z(4LvL&X=-Xu=J(d`P|lix(^my(Z)md1OQ$})xXLE3^qu>7ieP{DQ|!Mj(478X4}itD54@~rpy^M%y94{7{Z z&t=x5;l;>?ZUi~+ZD)893`lj{qAlwKwC~azGaocMlK6lp#Zs})NPzqbO}h6pBEDpT zgX>tL5l=aXY~RPV!PjvKD}p$!Y2zFh0!S_ZEE3&ADwp(g($Of?c-wk_HS#!ky3dp% z({f|A7{QH*DpYelRj=#)nz_v|+ZLY(KeG8jUJK_JO7&0$-7>8jzYPkv-G6V@^JaL1 zdyjg&#{WCU7GnxG21;Ny*VfPvSZh`KHjG}O-L0hiOZH$+KA6Y@iCcPb`D4*gbfukdwjjVE? z#zUAE2pLenswR#NC?IlpuYH6Tv)LSCP9Y9aLq?8!%s6G7d!Rg^X>+4%8Fs7SWGqRGwh!7!&e3t_*k+(U>u$_m$ zOT<~5%9fojF@LNEh))(&?(c8`<{L5QUIl-1tMBaHf1tn#Oj%>yJYXMmdZEEI%r6Z` z$dM11O7?a&AHnVn*PNdh5$S8=1C=5GZp*RVdfDmxUg$JW+w&@{RLyTzUC=>?$B}yx zgq}C!(umMmaDOuX4p`GPSEQG26WVb9p+1HiXB}hZ2>tnKc~ajODB`QRk9{6?R{ll@7kKIi$FXd@(j^oM^Yj2Hh1{5E%r|j+RiI{;t9$c%GjtzS&f4JgxoQG6#2NGoztS zT?foa6ZX2#Ypu+vAJ3eJ+%avqwJw zPdR6TZR93)OR8jucxvrehGWv$0iX1RWD?iv6<0iZdusOh67XaofgCnc1md(0t&(}AMwtQ7?E^QX7rXK`!rrGE;xtw*Z)M`?~ z_k<@Heis{L#N}KrPYNbo#FW13*!FaI{c#GwjJBC)>BBpL4`8~jr)cC33P7k%QB-(M zSLiv$g#pP!p>T2?B8`>n)IyM~yS&CBLR_oO9z$~P1UOHXW=mmdorP&%K~VWO+w~k0 zoX_MsXXNDKe3kuLgQNw6nguSJ*}!Ac*-g{9%QuFjmGBPA$LbUZ2|BIwR579JG6{0s zD$d`5%5u}tS-dJD7Cnk?O(}-e1py9pQcQK$FRCJbV3Ad8QE2?FqQ*zvKh`FxC;z0q zMK4p?2oH=V9N~ekuP@N@9jRmvraUUO~Uzzij~%&?~?d8?u+u zowJrQ5!DBUu*&Bm}9{@@>Cl6KL|uE4vk) zckxQeozxxtxKkhYC_AYjBTbr{PxQ8-DKN7jD5=7DOj5915|vjD(an_$=8Eu=3y10+ zrtTUq9~|Xo z6~pJoZTy_4x!gk1i&Vf7Av(dpS%o8Gzwyx2Lu*o9{UDF$r}RbjYeEN0IYUF#Zp(Ha zHR^Z8$*Y)qs`j4g$g@}Xo7Xh);6j|q(uC%Mea3bbxvTvK+5@3|l$8K82ZxjWj5qui z+p5P(JOpc;b0K$7rZbfr3`$11bbNdvW~J}Js(q-c9B_^aksIhE$uf1XO~g$_s~BLW zrq*@k^s~z6+`pMG;8w?{e3t7j1$#z=Ujua7fcxZTyPxLTVfeoKg@q0n@jc&KQ>;{9 zvHs|AZY1~B`~t?|3&ObN#GN{>j+0^RT-KZ6Y)9rhvBb5zqna!7aTiW^h>IRwjO4YX7HQ5y%V%kN1J^ypE4z@mezw zZ@_jnxB;KP0^&2>=FLN2GT~LCg;lz*#@1ok`VLC&9q(6BJ@Nh>YwL%MB|am~az)2f z(rMp-BJ@0>yLRSYaEsASgpg*-!a=e$z~h4ZFroFQ--{6z#GP}4fno#dnPF-Q8Fjcb z;z1Mc)_ds&2QFQuVBSlTiFf+6Icc`+7RX!d7m0rU1!L#v#5-J_fKe3%fBlN9>v?4r zCmHt}vr?6#Pt{jK332Tu%eh-)4ehz-P8y$boO;!r<#Y^-KNf{@Abk?L3AmrXkj6|; zRkq{-2Hl!!8ET)12xUb^p54Gex&+@tHPI^ja^~7?wRLPi5~F;uL4I5V%)jpQ_VqGn zNI@VeFs%WkT}5#AMb=ehggZzjr+1a&{>U#`l?U!e)Qxm1vQ<%Z5ho(x4_ zcpH;P{6)3yZ~Vd-ws`PlU&vp^M^tTJ3T!>%l<&%rTrLJ8^NWy6uZ^lw#Y7T=Ljz94 zWCSloZ)_68&aX`iifIDz4wqDkL-ySZLj?nsm|AUi^EdCX5wo%F`B`C2co(wdnWm(w zQJNIMT%8h_KNKX%Ikxr|i>zr{`## ztp>q)v^1|=MVK9ov53Wo*6V*waPYjl z6=?q*ow`iH7Wj_)mzA50h`b^nz4jW1?L)}uw1@K^zsB*40pF2d0T}=efk-Hj3FWG8 zW<$JxmjGAQTbz%UfyM|oAEFA^+AVudSn5(7%j4m-c4$mu<6{YTVwanxm63QXc{kaD zCawSfzp%>SY9nJg9B=?D>JM2$6ozNak+AnzCmIsCyX+w8F=Lj(8>EJ)9x5XBeG41* z)8>qcu{gFl$H!e#%01YYI+X?fnI#1~(;03VfkMI+W1-vRZV#y_tiO}A-*eOUPjvz2 zEeVQsH7sX7;Q>1KdL4#398FPK{#>6#I+U%CX}hiT8Z;#sKTtN5{*Gs)d11VOqd9p) z9V-uA>d1^~N)?A7t_0IbklnTu1oWJ+#devf306OIuaPLu-Z^YlKGUE$$;Uk)xBD9w zA!)u@N;nsQGgni&{mLwu3f}luvIi zhn3eM{qGv)9lR)j)%%pt4K{~QJYi<(&6&KGKEMqxc=e4Aq?kg8(oqU%57TSKsSHuI z5;Shtl}@Y_FH%$fJ@42i#%=er!WwFiPESOe^(||U?^3Bsy|3_#$T8(X=PWe77Vq80 zt?+Ij@Ja9^f`dsdZVm@3lW)oRe-~b1AT`;so6m7R+lb)|q#aDf3bWBR*3IdBKE)B_ z-rl@D>(o@3s08#(9~l(C#Si^93<;8dDn3;E*a^m{gj*-Q!+Ozj+ekxb4{A9gnWh(( zNFY>Q?TWJMvr)VyegdkY+T54pRNLJ`e*~1?Y#3P++QLzsBGLPMSTYW4G~p6ZnS;6C z{O9en{OxzC{VJA~_KPCxuHI5H6A#W*@Z)M4)dopo+&$|Ic1-Wfw)t5ex?RCV1DGbrT5vl+(XHPGKwX~aP|_utmzvIE4*tT5nwVRBKX40+fXH#4aIn`Z(&Mp^OY zMk=0_QF8%_Fq6VOxmru@Q~)8czQROsU5H?}#ErGex=@qGM-T)Ie?25-DLb;~;y{=s z1#i$zfB`cRi&UBcNRL(Gqf%1svM)J#>P7l8D)f@|$Bob8ibu_g>N1veOL7pVr?1y2 zO>S^@5?4s03?&_%Fzhtg_ttGfcqqPZk69;v+{m%YeyK0A`+0eqA~&mABZ`K7%qu7E z-a$b5Q|ZsB0Wj;8PKq)CqUv8J1%Uc`lVfz&ON@`+-2C!LC_r&{mN8ytQ#DNeK}ub( zpJoh*?mMh3w!i#j8W1bNdumzdL;MKRVE_51j&&@z?C;;~p6skF5Vn4DjqlMpws!h7 zz|RKQQKg#$|10D=;p{d#-bL?>z6`}%*!{@8{+C%^bX z91XlUR0kZt9WM47SUs%vb~CvCmGG9dSItx9!`D>=MkN^VEH+a_(S5k@-rp{lNrSuq zB5r#iNl)+wka~qOmtLIgM$)o+WT64y9gb?aEWcXQg37XILK>uFvDUcJI?s;&6ez3s zfx54;U_4dHB+Ly0C<9eTGZZ0EkUBq%r&N^hOTI2?O2`#Cv76fUuC%bi^7BVm_X^6Wn}C9iPX@Ld^VRV=}(|H4kAScVEdr*RrbVhY?wIg2F88~%Pq}ZqRy&%F6sB*`9feiKF|P=f zvc;u3Hv@fwP_d*NVOL16^4}37fji(c`x0pD*K96*cqu$(}Ar{ zih%NDYAXp&YCPiXdnWnSsAc7b$YGDKQEQYZNyF(cge#VX_dj9LS7!A*rD3P`kE%_1 z-BYdgE0Vl`_$Ew?k1(7}h4M67ab8n>EVug>aj`*w@2l2;AL*OJ-d0_|vWW%?2Wv^% zTa)orTfjqV&`8$`7jRRx1Wl92GqO}jY`?)r%9%{rBmgNu*1wPh??klTJrleRH5D?j ze2Y|O0qw5;SmC6ats|!K@)_6fgSTzo&q?|YHW2pLmBjP6Dk?C`v}0O33l0^y9+Q(a z(Mxo6)6lxq#0+HYyfLS`_s%I*g^XnpRfV_*ogY+1MD~#@XYmv9b6H;&Qb^a5*&nn< zb4rPbE(OGQqxogFCB8xY3PAIe`C`+@*Ch$Pc<1s#?11u8C3dV{vz3#NMxTD0a#+#6 zQ?*Nz&^QxuTbuVWfyU^`2zZ(j#|$9mcEE}5Uj=o^t`|P>^09KhqP$J2-^XVQQCpI~ zbfeU$bl9sEvKBwTqVTaFZk)FMydFb>N zKA8WZ6@a88n)ljvploC~jhwGX=4ot6hw<*xXJSD(2HvgRvgJ%VC+D)oc9%%A95*c6 zJ+-zPJ+B7>0fy1o_<839_vMP$4aPjH!G3J&M4T$P%1j?r8$Q>2w~7xtg$d!z#lv??Xyw1<7MBI2R6i{wmod6RVNI zlN-s~w|KNe_Dy{Ms1TBxwU>CRrKFA!*m4}VCmX=J@TC?Pz;o;YE`%w?tczS1UP;1P zzE9qO6C$Vpz(F^ov%=w1h{R8zZU-&14)H&gJPVqVya#B#Em+D9UXe@Pv%2>%s{IQI z)=n;+=Yt=wl6yWKkslOvv%By1EbyRPQP;iLu(tDS&c+L&-~%Fx)x}1(DN^< zP^ls``$l>~4m>sre`uk^u@L`6HO5dRft$=El(%Vw9_oJm!qqAM!AEh_Si?!DHl-&z z9j%vuw*-A}DK}innPB5uau|;f$XZoRT_0Pm0J{Ei^o4S;-<>q@n_cqM&Y#dBSv2#c zm#jIjavVjpWZDxvRHNE=wJak>c}puA-rrjVW1WY2AQNX1)KoEi4@@}eE~0QMJs^GE z4k0;4LJA8$pKzl!Wym(PTAyiSv)I#;T##P?jFo*k^)l~8567ikd98ZLM&svYTL6(n z3;bL`o6y44TCebM9Vp;`~nw93mc#2evArabA+Bw5Sd#KBW9b}v;p0Y zDrT@8z74g2o-XkfM6IpWhpb5&XTnW9l96ZB36HK3+vw*?Od2)s#=%g+PWpZCox18G8 z{8lBywwcU+M1EaMCoIPI&2;=2XyZASNij%wVbydUAPAo8i;Y4_A*w>yu#xxZm9cd| z6!cEFwUCkTLtVjsx7Qs?1~qW6)AV($d;kegxU#!7KC_scV#?+iLHK=z zF8@6d4p3c}dUgT#!+?^3%%BX>u>p{u@q$1-*S6a~7&M7l|9Rz6JN#uJ0y8dqdo`eL z@%kErbPp^zWX}-W%v=sTBuq3Yqus`KfCK_rj5pxf98FgKkwmoSl}aTK)`B&F2t12A zRbuga4)?2l`m{;dxVE{40GyAW@UF@WIE{wK-k%Sli$PgD-O6kUv3@oF7VPIW!7Ecb zqTz*0w6{hY9&sCR#@&@{_2THL2>l33T4Sj6z?naiQ2d2svpZ|-CAf|!33d+_c@D{b z8Vri64NKn+$rJ?va3*AG=aI~S!}*>L1P~7VkxUayADi&!Q|t(D&I|U!bqDNXoTaVo z8^zafeR%K?PSHZ0XTYM|Z$V2`Ez1WT_CpQZ_F-nfVUP6?q2-Y2jI2FqL%%!q$+-z9 z;~sp1cq=?&J$JF_wwX_uOzZ3j?=66&ut_6=v1+7J(YZ6P@}@0d?dN7n&3s4H2+1+u>YFR4jP<6hFKxd=629$`-^*siF=1Ut6?j-YKxY+B{<|k2Vb? zTM>?RWHU$`ye7R$F7UbB-tmie&$(KtAbSFBQd!9&pr*kCby>Nd{ z;Xf~EfMsgT!|B}e`S#o!)jN?9C%C;m8Gl#3+4@p+->U#fh*9kA2=4J9fcd_^G8gH% z7QDYTTBFmB&n_~Cxlj@DW>nkal)u^0`n0<8JZ0pN9*=Tqle~7mOfxp?&jHcC#reO#XJ%_tyB|j4h*h5 z^k;?Wkkak9#9qz*&VR(p*g;qm)^OBS`e=lWiDWdzs+5EB7}{rH4$$kw$P*%FFvbys zML6$>Z##oSqD#?{dfSH;2*5bLQ@fL*TdTe&?7v~Zx#;*!vtM9`Y12l86*GyS$-DVx zC)i?CN=m46Z*+(&)#rf2kUhZe_OJ0HN07qGXZqTEAyyfzc)){*15V@&eHyP8F(qWR z9*Q1`%XS_fA+@cPs8CVpTwL7?e2o&vS2^DXqAD!KD8UL|Wa~ zYk;zLB~8X<5P;hC$g9kA^F9p(figmU|Lqzi;S_~VhKn30i@q#lm)Y&(F3}(}(sCCh z47ZvfJR)*6b-Q2#dAAd6O%hDB#STB09JOyvSwwGEVCyBPZz!v2Fid|J0D&?@nG?W+ zZX$zWs9KC_Vm0+!*O;1aGx!2XK3O*=?PvyB>?01qzz-_%Rm052>54e6Vau6Wg}}8C z8Wj{3l(i-9jI^N*mKQ;aEm3Rut5X14t){l}t zpEUb`;ghEsvm$>Qw?w8tIk0zxFacFn|8d??y%~IiZH2wH_?zGTMKf1FmS1$;@+03@ zuJcg9$85yY9ZD_9dY2-H>!*vt4$1((2Oox;^m!-hIf#`z_}KM4*%iMeErnHz$2kyd zN%qxIa`spj#0ZBt7q-nHm)9Zb$q}?z0t`@VKE;m#SlCh^{@wMCfA;a6kat0e%falu3i$z#IFU z04^>(G;+#PFEaF<0H@zU^zl-|U-nd#A$cY`Jq z`iXe7HpC`=@W#aD_G|<=6F|jp-z^mx5$dKU^A1QJd+aOPBdMLXoeUSNeOLfNZi?xC zbG?1|KVhw%gJK@p&=*X^mK7z=Y_L{*7#D{|JJ)>2YP8ql<1!)WnF}QU48YmB#qj@y zWp;7;(i#s&2`l};_5B_A`X|FCeAh#seJGA8jF~$TS}SPm=@P?jpS;5K7I6`yXWYMe z_?4ZxsdLkl2u5y`Wpi#`_E*W8Z%VJ00zMK}eL0UV=TkY`pq;&-fdP$U4TZ ze%d)*_^4n+;;LMLDSA4O*Pc>D=dpzzyB}?D_X)!U2!>YiY43b3cNA?r{+2!k1M1`&q-71didk&)1C@ut>RgSzRTy5jxqkf+&6Z{#m%$k9M+XbxMrEH zw6mKj;i|V1BVY-9if(*i{`mP_Y8nAXqUj<|N*!-MW)A#zgZ-4hG^@%kq`UQAP?4c= zZBBqfISaA38MLwb^-$*&Ly3E`5&||43IgCjER&1mQ(mOblv8xquDK9(O^1ej3X$K` zTV@?f_y;ZUg9?=*y58GoPoufDRQkgaEP#dObDYxyg6OOYKS8bo{{jw8@6GM_;dUF9 zT}#Vz>=LHk7~THF)jB+-FdwN9jyRlm2`i+O!-aLUgR08ygN$N7DhXM&oaO%#YqxKQ zg#ft7f*kd+^Ps{^>QUmva-Ndimhm5D;%jf4LjF;nO-1T?&Z9$+Xo;bSYm7E3!(0FI za_`bbVT=tFJ(9bZfXEl>zclI;(&WwZ)3xn86x#08x zo(@m|y@6qB7e!k_8lPiCF&i2P+G5HHfS&j8Av(vcnEm@=rzLxIM%sr<#ibyzJExvE zCMYW|B&6mA^50yV(PK|CLzlUn`$ZIycu^BlvzQ>$tls9-&YK;d1sMALctipS)8F@a zCV2P*oMFrWduRE8b3;#c2x|bB9cN_Mf~QyR~-2x%`4SN zHV-l1U>c8dbtUCdac3?R*1svxq|MKn}Tf-7w=B(V?zzR<~*VOIXD*sbSn}R+#H|tcx2lqnKbiuP)=@%J5?Aaa+7gT+MGRfa9 zhxhP&mMj{fjwHm#FUx5@PK(=lkh5bsF8X=x_t7`>8>^j%C!}4l?Gs+DDUf!Bf~_We zQDgAI80GU}ZpyTjvz4d+F*|-f@s@yNPokFB*$#gAasll8`fNNr*ZvBwlgAenpynn8 zdzd)T>&H(I-+8GD1Yi%1fh`Oqoq*`st6gAB8n!4N#*3F07c%4?rV9$^Sbx1Ce6*3N zjc-?;cN)_2Uiw#ZFv!Rm`LQwh*b{JJ{N6dN3MEeN{-<@`X-X51wjum;hkTb!Mrf9y z>auU(skR$D4{g2P3>Ttu(*t;dQ`n*!UBPs;Cdpa=qnQzP;-hn;3r8+otV2GM5}l0| z#nRg>Ud3S=vyF|IYm;5WIt|gLOd5WQNOjCR6zR=uWImD|LwCEr#K=tINIf?YM{N?- zGHPL^{A!TnK3C@2@3G5`QkaY4;k*Q+n%g5yi4;rmE;a*oi(;#g^BJ=O3_Jf=%&q36 zHARa*r9eH95fO%0i<}rKiT>9Iq+i7@n!smqwtzm+8w2({o=Lh8m^PVb%Gk_^mdhtx zZfwi-0hW8cVw*wQeR^J{7;m!Ap4E0wX{%CCV>{I1mIuC{h}Ja_5)w-&m7P6$wmFm3 z0~xtePuHpF>0#X`ZEYZZ$8NzrbgNsfzsZQ+L5Yw~iv=!YoaJJpe=<(A-Lgni1S7hq zgp`o3vNt+eE^lzH3x-Arv^oH>m_-kv1XP)Hyp0yRTuJ9g#p3R4;=`{0;HYVf5E!W5 z(iYHr@W_S0b;TwVkC1L8kf9&vU^2yAxz55ggI^p|?=~6cf;kb2HPvs-Z-kOkL~&Kl zA1nO%XkZ~@&@$hb0#p_8Uw3(p!iV#erY9%@S*rj=vb5Uj_f6!lO-@Q0$>0Sk)+Z zLa`z#Hc+XQJ()lFAnJln(F&hW_o?FwQ)~t2mt zX`N>Gst?U?8}Gtl&8~sAUVIN3U?1V)5AHR(pz#>bazo>+)Xodqy>3@;&H_W=kyl&h zw!{i&)@F6?@B+cS1}CWg-B?)c2`F&tB>fC)X2}gOjCE7y-*=6?*=1_Bjbh(a-C>S= znII*vr=@|WN6!SI5ZdfB8>>JdL-eQR{+9&9v90OfT?Q$RZV>shk#tA_SYXG1s|$0I z?0${I3Shj$eK1%e;lF^!{Hl6@vZPRN)5k&8K_!4mG2FKDf`8;@;MS`C;?}dq0&lmm z(S_!N{#Sd3-trucF2vn3M&wC5Od6)#3q z!?{??&efXN42`8hegy!~oBj@mN1E_x}7rlo8<8hRLD%WM_l^)42H zA9)Cu@uOSPH82>1{oDG3JvuCkfJVwX>@QDFANa2DsBhmp>MiE3BRxPOQMM^yEi?KVitQt%qnnnt??S&JWTdx3|{f#8qOO~fDI%^E_mBCO8NF)cw> zO4W;$P0^lRy=mCXKuc-Q7N{ncPijhdQQdy^66UJ^Y5XZvKLkhW>h}-vD-XfqSG@!U zbli;q{LHE*iLt|IK27Jsab{FA`lFpU9lEiQNqWQkA4cz;567SNNMOiPZpnHK1Zu#& zFrYwE3y(`SRLpIhZI!XJYMjT!3nl3Rh~*{->y;#xu{CnMCL$#=Ci2h|?JOz|y*l?z zc}~K^NIqr$!r^adgH^<5FDDRHl=X^OjKoZTK)hyZt`H2*-e8FQkycCPD|e%!Mn^gk z0VvByu8;&trc0vE(q#~*1~hb0u)KyA>z@Qi;N)Z|KO|{oweZeW@q|;@t~|MDM(gCl z()@yUpf|+$IYEre_S&Z2T5d)c5@G^ANT&rCM!HbH+md#lmM__Hrp5F>R){J!!Zz^rMdH&giDl?} zgMk6K$GryjAnG7e>t>xmiIsF69EHn*G+y7PzF{^S2>pjsoLp8+Zo#xzr12T2pf!uh zj!fV=!^=rq901+xjHJT6*Ab$jlvoo$irb_b%xH1-{>w5g*4W^i%h+<}DebJu_Iq-A z%>V~g01^R({y^IW3`zQ*E;wtZmFz}pQkR^r6ey}!eL*4K&Vq%isK2*&C6pF7ka;sk zu0qfxe2+37w>Xxe6%`?6*2lL{j`r@^vOBhbK!UJYnC5o|wj-VgR?%A!1ML?I{{!9; zc+NhoZYa(oZQvz&*FYiGM1*`)*YE|j$aEQBm|83&*fGF%&1Rhz_407wgwLaIR0_?_ z77Ac&Zw4wID{*s^t0-?WvN^T2G9%p6u3XtxKz|r`u1UPnw zaLi?XloOX;Ztn}XWrnQ1gg~=jj6l5>rwmn|bs(5TVh)tFh z0dq5c17^IS;NP&T8o(BY4ikuA;5fPED~JWPojgejS~asP=?n+)z)fI+(XfXtI%fxe z(tQO)w@R|FatJa9aXQIP%#g^gTkHQ>u&BWZU2{>~iE)|~#c2V>yz%hXs=L`u zymkO1-_e$>`^f~}JL5h3!M%Kfi{6I*flK}LsXaR!_uhF{&CAD2W8xk`0pMj@~$Kofmn8_0?XKf_ru?#^s;wDmWw*X$O>6JJGaqW{ft6k~y!wC}cH5lc+g5 zXgrbEHl@3lC}0}DOE2^9-K|IkY+I|vkaeRYJlRv{8|YKW_aQH`vI#UWM0ot3I@Gn~ zI1^tAxgNi*zRWj9FvY5P1{E#B7C>2R`CEwq-7mHtT^YhG{Vh&)j%PsMZ~} ziv@c^v^`)KL%Uli9uk%oPVK(M0`N8u(29LuUPtgIhSQv?ML~S$Yh<8$!ecf zg#eKF=BQIwSJ%M`Ib3az7Bwa5d?W{a`H`<0B20a*7PEQU9@2XXwCw3JlNFviDKqoOGq;NMW(ipIG zFdC*g-$#S28*Vbh^|+TK?KEX8s@ngQs&zM?dScmMNJm=f(OC5Qki6|AKNx*sDK!Q_ zahPtM2=KUJcGhjkZ^(eVY!1-L78{y3BWa+PBKQWRBg=JLneU!Je8;^$aWHd?S6lpf zeSAuMuROZhF0}3+;Glig*su@7igr8DJ&lY6*)toh$DyWEHCcq>;KB#J;F7ORIoE#j zF$$V5NW2x&f*Qx{p5hjYE76&yU+JbxC*7a=L{W5Sf43h(8kbZuU^hvSY%2nE4Pw>O zE5IhEZ@ z?=3Iai<-_>x8||Jp%wCP91MpN1uV)#a*I_GH$=tul+B?RorOfVO#jy>2i$8(sFnby z<2RN{gxc8bk5~__j z8t^q~&4ucJGvIxY)DJh@dY0KyKTE+B%k@-{Qy1u3TG?gbsa@#LozIv@(Y{_Ml9%0^V|oep3_C!J*ur^I8&glR=B< z;V)20rcLGdu+?LbUD@HUd>h|g_}fwlHVO_iY-f0z^_Aw*MGo))u5)Fa>F8#7u8;${ ze?Ffy=I|moFHCBRzdMrXw&-~OL649fdoEKMy3eR`*{X9U-AZSKjb?vdEU{O}wYM$Q zd`FE~U2?t@*!0@vxY4V>n-Xp-Ok-@;xTNJaM?fNZft)(3GYy?joGnSvbG^(7p56~ z0iP>A;fN*-It9;I)i}eY*(K*9S{;(|hi4NIsZ zVQ2gds8r0`E*{i9@`DPz5$uhP19zKh(GPoL#J-6+eS3dF3GH~xQ(>0(U*vS;jOCHp zm@sEodTB1Xxybk;YsKiuu@6XR_|9`w-uW1NfmTs{KnO-5O~qLPfs3tKp_+5BnQ2<7 zfq9D@x0wuQ$~1)3W_z~j1`;`gG!w#DBzYfhJJpa$Kqs^RorsXjZ`A?DMpJk_(QRp{^dkvR4?^SKt$y`~bNXIoYrMQ_K{0kzFrO~sK_Sqv` z0rxfb8`832-<;REUX{%mVx+LbCrkz6?)HS$G<;sP&*}b{-_4|tnf!->Aqn!r5zBI+ z0?YaK`5vLfe7836dz0%@QGV;fREGdRFUx97lN84h|8Z45otOLh1ve8Uj4Qk8a&FH! z@=!#2bC(reeKXke;{5JQ#J6j#SB$uV#G%MEKEBcW$O7gL(QtKJ$)S+>5< znh&?3D-1GAQ0uZfV4xoNhFD*~zZ+eC!4%w@Z{>%_p_SxG+-e6(Vxh2@vI!0X1ekkT07*xP;ai3Xin5?>J!$i z(&b4p?tgWvrgpCI@wc)rKopJI>bwP*p>(km*Olu^s>_Ij8{urA-H0q_d}hWRj&Yj1 zzfenJ`3YLt$Bih-O(_COqch5e+6X4r@VaQE4`2sM+#188ke5~^C zOD6G7X%SFZHwg|^rsi0!`ht1yZDYT-E`8QM;TcQkAYX692dAV@wX@J|s60VZN8c|h z8lUu>a|rxX)>;F?!6_0KgHLc#&&-g(@uDx<3kj);SCSXNJRZ?vU3Fr-^`jWL@bj7( z*;(AWr*T$b)6)Zh2P>1O^Ol0AyCmzGYl{Huzm;f7D=oiml4}$%n^6B6QP?Msed7X< zZ89^Z|F5Iz^z}jcXY4c)h(Wk)ok%3#}@XU0Z8~$MVo1!%m7irWAxEg-O(nSg*0Wrykz7%~LVh3_w zB)Qaekhv|qHTXh4|68J<$DOCjwk6kQOO}DdUOWDKRWzjIQq2o@!X?SFhp|GAAny!3 zyjFO~VqpeJQ_RiXRx%yPjFf$tKDXDr+Wb)h#G+r)x}%T5I~C}Plw1S+xk=^&J zVm%Hi_kf9ZA{tzDXzLynQc;tPV9*7CWvD{k0G$m=_OYrxb!r8k?hV*Am88u_r+@&G zUUDy2Zz;Aj%bB*Kh&)c-Ox|rml!lwToN;?--*!1W_Pxc5Z5`(rc(!_xX|}w5!*A-XZ)EKyutmS-zJPTt+0ge}*Z@3#z|2d< z@B;p5&*pL&FmRMNG%>qEmkqN<%B8Dr8_cs%dC)iJ*T4vam={eza7B3EY1B?5m=!Az zxh6!NM)@v_2fjmN^$iCu>1Iq&sFF4N8? zBJ5}-!T)w2*;T3F&9sg(ij)`8o?@`>V6Ax!A$rh~&wWz{duxp@xvdHgO#0@tOSZ;% zqwfP*5L?i!^s&grzJ^t>KUg;?k?pvCHZ1GpA;5T0jDLGO+_hW!Snr5;k1!o+Mi$d( zA;1J-V4AUTVlI8g(H2bt7y>{OSn>X&%vZ<5+v2*?*Pk3>_J=GAr^*LZ+KIXz#0Vw!Mq?JZEyRu!>u77hg+g_*`?e#UHJ8&o4 zXtM$91XNOd2J725iKyUQa0&{;AHaccG=H!nSW#11ibhxf0>~bBkI1tygUWb3Wf3V= zap_a~{3_724_VapR+g}&>w#4qmCI**6ybz`xPXH>!Q3`;eM$c*GM^LZED1;epCd$G z#crO*oYo&67%uo$CkbNtcA@?`v8J59)A5}C#ccQoRrQ!EiWnNkHJ2%61w5_abe*L7@P5ih*=Xj%tz0l$Vj_hM?vwW^lg5RrOAaXPRnn*n;-Zm;!GaVDH*beY@Mt}le zcaXBVnvZQkRFC?Ei)TnDpcSw@L%N@x3SQH35+N6fC0LY3%KCktN(3#8M=xe!r(k<>HB-I z{{j{MUs>N&ywm&)SbmxcL2d&}a<;~3jwz);=X(nc1FS^pp-?5@Mh~%39^>y@4(YF8 ze(iMiol3NEb5Y!&=Yosgg}D?%qmC|tnHd)=7WzL~5h?bGr}1|tzsYw0&7>IB9rQm} z$nR|YJYRa@xDD)>qDH}IFz)v?mZOq93^LOX2ql;@E|8z{^U$%;t_xq8jwKK~csKyG zqK5M*7^Fd;Hb-*Q(dk{q_8lV3MA#maa|)8Ms(E#Nl)2?V;%4j`w`#_}l~U^VDe%zD z!A^$l0ZaGgy6MMW`gU6Kla5-zD+6{G03h*San6ZU_46{AWFPhI8!8j}LYaW$J~H!T zG&vH3)2+x;#VTumzbmQr+AAPYd9LxXF>WexIM)Z)zKN!E;F^yt5J>Z3FvcRkQU79N4J+P;FbYh2$@m!1aIB~DF?o~ z$UvcJjZ-=v$OPOhQL>S?n*Ah;J#*bF-KOFX4+#W?owbF2Pri<(g;r(EX{?q{Z`%O{ znqU>b(LQ*T`6T|Lr(6wYokJiLf~t7#vpoz0*05=<(dO0J8r%Ba9Y{7L)C?4N0}l-J zj!+>PMK_IYU@4Gw`n8CpY>@kXNR{z7E@hg41L1+oZZAh3^h7-$Dp=cbkgQClLA7`| zv@ELnOyaO}b<@T9eP8>lnKeX2dJE8$4M@$}No*v~T0G+L9m_kmQyh`$MqsI0{{}nx z+Pad@{2uOb<9QG26gqbj8m1yX_%2q5LiJZ9RUmhMHcuI{s5JBT?l1MU z`~R|@$d!i_vN5_Q)?(v2rm zq@)>b)BqwJ3-Xr)K1P>c_X`bJqmHqsh*fPeEnt}C`00Cdzb=d??NGy^ua|=@s`R@1 z5NXcQViTZo zJK;scj-&`L%@jo~+Nx6b^L+Lo3zyqEDwsaFp%R-y_D^yrq6vWae}C)aHgpFvHl|4A z)6$}p1rsk*5c9XBZ|vnL-8F+f{~i2PsWie2Nfihf7feoF)7o?I7sWscb)S2Nk7Mnc zk!EYa;a+D%H**gOqTP5+4{oG-^w&2}I%|7y*ND3zcwE)jg5aKkd*qog4{R6Ghn|Q{ zoIOQnwj>=_9~88Uiddf#9cBx z*_7w;RRE?HfF^fAeVD&*AOisK?CeW0z$Jp%0c<u*J6MsX z1t(mm)~e`-7}00+_#PF$a2jbLPQobm8@6sx4I;v8A&mA?vxk0?s1~-9KO7ZtxEX>7 zG7xy$52pRBTQ#hl^4qcs#*l!LVSZF%z04IWoaby@&zlD?1pPoZ4x{iY^62q@{U|3A z-ca4l#DFW*q{*R>r9qcTJRj+?ZAV;qi8-e`peXMFwEwJY2Fie4}0fy*ZzE&uDT1J8A%siP36tdzdG<=TFrn`WmLFOM6$J^ zu~y)K-b{RhA$-IwK`z^4h%2c@&-_+`^^&oNT65BlsPEtAEQ3YYKDMN+1UU8HEl40) zX#h+lwG- z0fHAb03P?rAt>_`4dCd>sPE|l5V{v{KE>T1Kh2~gwWVX)*fPY|p2Xdc^1mbAPSq_+ zvhxM*Q1y?(thBtCMFC(4O)5+xpiy6>$|t@GxjOv};##RVkwUMFgb_2LD|yhW!^@wb z`D#b=-G`{l2jwZT93uLN^s~$L4G74LaQdcH3X~E;XAJShJH>|Jmqv@ys5~P}ZhJq% zLWWX6iKD;N$f(m#nN)UMah1xQT|LBB-vQ)aeo!6<_&@$h#0(nl0_}uv<}LYjI*89C zq`^yVf&=6L^{&BET@MyrY7I!QdMDFL_!ECys!@u~0uqalWcbWNNpeN)n>dyKq<08) zAdB!hgq(ahsVgCc1e%Lvo`>$hf8SWYQkAE^9uBy*wy@R9sgasNfE3gc}vd;YdBM!D2 zgj4^h;rR(!Lj}vyx#zcOgVxh47di1k*UpHm8QFozFLBAT6PPTG@PM64{S~?dIW&CbGu%4Tlz@)%hcFf$~z{hYp)nD7e?U(1S4#L^S zI-)qw_|k%Q7+Wsmj_<_j>N^~`4=!FgxYsd= z_+h_$RDG%f*|tyLCuV%iva&DB`f+BT0j|wi${{D(uYj8-bB{gl2BF7noGwqQkb_Yg zDqdrkhn+=c3kl)uO!up>M8&P@%-jCESl?tKGB&v4edjCCcVM3aiz1o!26YXmLLhpJ zr>5BzzSg6W*!vC&+$1tGSatpWcaCsh4+&OuN5St+|i9kSI$-JC; zeA4bnim#g(YssT3YCi%$)XDo2A?HQnrtLve6Y9Nr#s>wHNr%Bofkq2@F>a`;sDPNm z zph_5!!~kTTu{q9rLsAs4c)0t)s_=^mj24?GvRayW>u}{FTbb>TttG~O7#!WI1rm%0 zqh}=AVehq~y8Sk*)}Rf)41?p2?e*iJh>{{*;-pBVdlB?yjX2P3$d`F8HuvSydLp!P zOttaxAo7HiAi8FK0jRb;l>P9*7SZ2$nWhK?G-PJ>%AGHRfPxvf7QxR}&zg zaPF}IXr`^|R@LZeFPao~&*WvQB&^9^*e`B48zdmW={-QQ*^m&s?yY(v)S2gt^bJQf z26IOmSU2hh6@|}>*{)fE6c8iV2K-VEW;8H>)0#2z5T~(HaJasx%Pv@JgVM@$4*j3e zsU)IEOpz>fbN=e*vYP{}X$$Os*c&x{CAeb%9bn5f;dPj0hMno`qw{#xZ@kP+0&tKM zGg=+%lTi4bIrx(6pfm}hvv4I<4OcQ4q#hCo1zd!LJCry~tky1Uvt6jPp89Rz@eFwSZ{Sj5NvJ+Wd@!LN|4=IDrr;4$ zf5i;+Pn~1SaO~jut%2LxaLhLlKmBG|zoX2-3plq?H`yVpf7$k^kE{9Sw@~g2-w`dr zw@t9lCqX|c4FFM?$%i1i7{;#3tmCwHbC*6{(II3lQ%&$T<35N;LsFf3d}cPGbUg?L za_n;jo5&Y1#Yqxp3;@OW+08ZkoYLak;KIhBFLjw4?VWulmG=YDYR0jAH-a+eH2HSc zKi0mC+c5Afw}?7?1}N}FTBYp}_MXe2Z=3*Gfh6m0;?fJIkWDcN zAHPSI$Dc3nBSw&b=CzVP7z;nhgwyY**nlxy-SaDfHLm;?et_TI_pj4d_Kq@MD%J{H1Onqm zmHQ&F&p)B}v@xkx$AwY1A2p4|SBfUNwpqk4EU8+`2Yq00IUF#tcjeN(g7mgB&kgG( zECtL`UzRVOT=$Ojh1#?mB%q{Bs$>}0L#q+lx~fk$oGzJ8S+lWIE`K4$r{f_o;rfqNDLvN8>c1l(nFMIm9GIG_)754c7`^2t%)^&p z>ZI-9c!irUd{7FJ1DuK&+Tkf@EzJ}|KL6dHhCuo!X7>5pC>Ksjt%uqS+vvA?gADRtLwx^=WLs-KO8|lWlQ`l~2p#`U9g-{^!;I<@7;Tn;i0vXu51|pTK39rrQ??? z?;eE38C}>r5xWA!S@~TKH-moq(xCXXqP3hQuZB4=9g9B0_SD6$iwwveKx6V6q_}X% zo>L0}A0uwT#?31%Le%l-DnQv)*oa6Xff9vK*Ac=Fu-ZdE?3U5oCsVGH=L@mQ1Ht9t zGH+R*!Ee`3RO4b<7MoXt;BJ1U{OYKAF=Oj!l|7weSs8QQYykffsEsTSj;0tg9&7#L z$;uS*3cs2uR(VD+`z|tEx+Ph9621?whr4mp<_^Um<9u&Hd?kMx)wp7WFY#h|=sfP4 zrPPy&reBpOp=0q>v`<1YxT(hP`$`vtX6~#&i`KYvz)9v~!Pc`Gf1Rf7dxl#okcjXm zxTA3T$KZ$Rc(WE%r5tmgb@xHyrCN;O2&o%ZAuj^G+KFA2k{@;fXL^mLu7U&*^Lmr3 z%nLYLE~_m&?VDv{Osm?5Je-rPnrKrA&OOHII2B!_Jeee`D3~0C5T&4Y)424TB}InN z(r~K<5YoQ!r+`;lk_SmL8QyRv-e@2rrv(I+pc=3ds{i3_#PXf(kiaPdgJN_~jLdpy z%}8=;W0=f-$EWsDi|iJhu?<638i@@@WJ`pAK)lUW{>=1DDP;=Aua-K0E;Ok4Ez+Gl zo{-YglXU@a7YP4Amv5q$w2?>%@{q}xfs6IYHdWasp`(PqP7YX4>>SdD9~#(O*@Ch* zb}2=nah(f{Rl$61GJYAu#Qy$i<(sZ8#t>$Hr z6I&hCO@$Jh>5{NCDqIJ#VB6$)YlPkot*R%M7)DHxc9jxb;)eE<1q~b&`2Nv@i>;~K z=?bHvomD~MV)~!(qjv|b$B|PYzOSI(%z3QMo_em)Q<#fV*xr~Jd|nj@GK)n}#bLqk zD2gNB6Myc&EiIL6bjf@CKp;8BhmO|k62@XfadRUX!mz%VL73q^1MNf%Uqj=`I9>7$ zF)wFB-iHx2ZTT%azZDKAPQ+g;?BZYFxBiz`*%wShqoEtvKaV&ZFhZ25lOMgasTf8r zmjmTSs3Xe=Qg_d~4*b=MNam4F6sl!9F^_Wb-1T+{g?zX@%E~V+;T)q+XxQ_SWwDolP=`dvU7Q4TYUV1ZZSEEShCYGKv(&@n!2jMZptXNJsi&!(AI!J z6J6NmOBtG}^)TmX{sYfoA~#4#AXBN4i&zi6k1c&Guy=Z|Cc?<0VL#|TqD~;t7z!;- zX+~yqfh2b0!(fCNd(i^_=wR{APe--vnN?v4BT0N8f))?S3jE7|RE;x-W{Cpm$!3ea zX|*N~qv;D(Z;bN(0L^{C(s>62ycSPh^X}CZAZdO=ZBH7t0rwt?YSZVj3lP?xT|r)Y z9Qi>w1&v>@iW5h;V?;y6VCplPBA(ZeC!&y+y!^0tj!Db$pwPu6ZBt423u+3Ey;UZp zIV@KHNI!`NT>(M{U*`O2^2j!QhyFPJf~fs5TR7qXLqNR0LFT0njocR$H|~+Ap%UWkP}LQ?`E1^;Bt{=R|*}3QZ`QK{j}GQ5m`&-Rg->du!cU{l8+VMZ7k0cK`}5hU+)XvLM9Wfnyqz#&4kAj9j`koEyfu%F!M*%`PWt9f zg&9Mv>_+Lvr#5+TGtwZN91RBhmN|3DHuD8dfQz@|X`502+q9kTTvMdU;YEMwQ6Xy^ zE0@uhb?7zby;OTZyVX!m^sjq4dJ2)UT?GdxWtOgh4y&6hMf{I-0!t08Ly;ZEudkut zauM1!!GkLoysWjnwghQFm*TDf<3imb zII5%`9RYxs?k7|LMC1R0eCG|i%2t*adumiY8cTNf>N;l5L zR%TAMWrM}>yJF4Oe6wv^$&x&}=ZR-XpaTLw`5z0=EUB8^^Am<;t}*szfug;wh2;J< zn?%R5E#12K)dkHwM)O@3YGz)*rIuk8P8}c+8&jc$V?WKw1aL=nL+P?BoOy$?%$hVu zYKwxi{Po8$Tv9}hy?_~xs&cca6)V^J+cmW1dIOurqi)?uGt+>-m zf1$v8h?oXL#?1`!A#1*ypjGg_R$-?0!avxpC|arjBJF{5 zwC=UNUQllYN{(m@jVhZ&fue z`z62VZp^paC$cW&K@l__5ek2!=Wh2qI0Idl9H)l9NvtP;ui_-`GE#Wqf%hF_Vd>ev z_KlFtf7P^sDSG=g!4`|oRQU$Iw5UByCDQd5m}QC(6znKK4s%^D5b4qPd5dROXD!gQ8PzZ^Fl@gOwy_6ao|j6LuXubD5-?t__32Xb2)us=*G_qNgq? z+FzB1Q27c!p&iHSEKZYYalGw7PTUJ4Aw843NrJ?6mW5G+1BBcPRdtKTpTu$M61jLe z8nfC0jJ}wyYXpny$PX(57T3*q1|Ax%Kai}$sT_>kQ*+zDfW*Gj{9yP?lT^*V-gY(K z*)E^n*v)h+otn^>0W6RVuJx*>BDYQWWA8feu7ZMZ?t^XPVpw2Hz{#rp5E;heM%D$X!xD~! zp7)u5Z+mnn%^=b~<6V=Tp8m0tjB6x|rVEnq5HXcmHc^ zciYQq7j#~NJqK(JP;N9f$DJ3R_~M+5xrZF00Qjm+r5*7k34`kbFbW0N*X_LX*FQD` z&!uvhzp%jq*}JRNt>EWHe)@cv9-Plt8u5{FGa%td50@YH>0tP@n&+qbk+9japu^44 z-(9}+=>1gH4AD_56UDxia6hOu(t&nGSiE3hqg**Y^rv)HEDfvB)|WV?x>W=Ez3;$* z)O+T$^hDdJyKomAlTu6U2U{@NCh8Wm_45Ub$#>r3r3&navK<3c*wMM_o9;5{_*I|eBXhRO3<%8w0xB-e6cvD8 zN+M(E6HI)FcUaSLE8pyp_FqemIP~nR&?n_InH;XPid!SFm$v_y%+T6|<;-|*EQnl3 znNYHGkwR-hNT^W%rLjT&${eDVz9r0TA~@VpkLR?i zr2IQ^Zk$zM1~>9edkt7EBST>%rH847@S$yWT+F&rgO_eon{HqL#|%m4L}l?c#)=^e z^=TY~AA|CYNj|u`fM>Kr)8zsP*SYG0BGgOItVitNxB$_*{xbJyzh0a9qQQ?Zaamoj zxvj(WhtbFnD)&qMEmu8eqqR5jY(LtQ&-hCuH&)xul$9HA|NDe8oaYd4-4vDK%`Ws$ zI)JedhQ`7x)ETSD>}I_;QcPuYzrsz{n`|xpm9Bsv&`}iN*kG29e>qZa!mKFM>qOp1)jyt0}5+DiwYU62bdH9GrO#Sg5M@Jb0QpldH`L z->fPx9@uUu!^>(+d}U$#+U^g%$1y&SsU6!$e^EV@(^X;Os%Sjeaqlay33_dT&u-c` z5tvo?+bYb=AjF2p#ZB}3OAj*T=;PrF(3L%;{z&d5QrMSS=EyQLYSBmMOgQB?B8&oZ zUlb`2*XE54CYko0q>x^NU1iGoIW-XKh5GQ`3IJtCwJ#FXmx5+M&k70`l5#r$m1&v1 zLlIs(YAuL+rBw`74vpR7wtR#xtJW^Sp3BANWFr|>&P?~Vi-WjMLw0nMzga(rW_9ZM zyY_2-SuJPrW6cXy@RaxN{4wYuZ8am(C#YI=<(Rp#Z=PIyWFeC$fJnVcO(zmfxLQZm zA(?a7tG0VMnd=`X&SYs$YVPxPjK9&;UXPB9J`DbrT)9olJ`f`GXLWLW=Sru3x6(7? zS`E2@Z-FH#|GhZX3>-YStq-|a!Dg%3oQWp1zjmZaWr~_Vr_@D3v1Y9siS6Tzk^r?rUJzx&WV#|GJ#GX>C$i*fg$sPdK zoNN~QwWauZ_QfhHnneT=vrq0I13`2QD4`C_%e**TQF--`#3xTz5-e$Al{#%%>K|6y>IDd6D>nC)f|@Qh5-; z-H_iA7wfisPw$heY$7z+fnS-kVP_?X3C9&7g(euf{j*dvqf>TT|1b51bIw&xcKqEE zLl72Ma{$#U#9D3Y$@K?j4lwc~AOlJcNf7#Jzh!( zQq)2KD3IT3-K%_Vkmgb7E}P8hK^8ZMqXI8_x7(A2-;@9S62u&h4Lu0bgKY3VyW>c) z;06svh?l)?Dcj%i?MRXG}t2VzyHyX4lQZb*&Cet(|dUlG`Oo`WEERKn3HlM2q zQF?uoUvvdEn1(j1aqVCE#|OLv$VsS#51v8@8dm*6!VC*q*|#*Ayd8yWx za*uPj(3ovNZw;jnnQ0ky0%nQ7)yy{P$CF45>gD3LWfx6b9x}TWm4Sp0!l0rT38Vpu z)mpj4&E0r)O=+L{RMLfxj)6~;j!ky-RZj&IJry~fWn9W!BF#DJO?cGn)bm?}RLuy* zJaPIj%Zp1<7?Hcz>e^@aGIshB-ipP+t;BZt?9_kddFNSZDU!1%YGup=oz4a31Kift zs>Jm)^3d^(ng^V}I`@hbDkksf-|T($mYft6T@hHB?OTVNfqGDbDr=qxz_TeEuB6TY zTg4wR?_0d29sl&=je(gs06J)S62+%yC6njRTn7?FUV_;cfU!TVDR2>+R6ZNZNo!3k z6%ODVj!HRAoj&U5|c%tOZbFEHG76A=_t^Wv_Ot{*(M&`?iB5=)*x}yvYfpYFY5g?1i*qA4DlX$ zMj6AzHJvK?J|Wz;5mzO=q0~ci z{pDx|$EQa*5=ToY#Mqp3Ejc=XtItr1p!nruv#BxZfr5#wrsJ4Vvw_jKoqi- z{aE|Ky#po!Q)GthF{@Sfj*#*@aMU_e~o$*~(mG zRn%Rif2@aFAzf&<2+>A`WmT%bt(c{dbIM9c0@M1?Lu?F}I~m)Qmpr4|rQd zbtpom7ij6Vb*2{^#5^AS;ClP#t^{_HbdFn|BNFyr_gb~AYH??>VgLnlS_qz|q3}UG zV&o~$BMHo}fS2%fBg=~z#mt^LKyxoQlcFM4)!sMAi&P-AGQW-hu9sG_Rt@yvghu0$wo1M=4psR$<@ck_}O~pvp7I9w(q` z)h3CfPdm|PnXgR@Jml%rL4(Jv3c8m_AVpJJsQA^IJ;9+5mxt}}wY8;!0+?sIE=kXK zIoX(SbatTUCQ_Ga^oH7zHx0YGODdq$)m{#Ie}!k(mkam3Q|6WxaXpN?Z+tG4eZ@-i z85agHF}iXWIZf_Ga>BP26{AgB)_I^*rp3zHzIn}eV}lB{WqL&GKabdaMs*?lTH`kL z7rB*hUCUl4+FSc~7mXs-hDY{!V8SV)gu=uk zXRR*uK%fw*N}NsdyJjV%@HpUlj$RunWenFZ zJ$G~aao${TG;~Mb(CO3;DcZWeC^Yy)eO~na0)ZVKdJ3qYHgQQGedkS=jyNlz!M=i| z^5K4Fksp<=p_5s~&eEUyXH5OHsZF{@f0S`UD6H7Uxz zbnd8;a>|@e?1A$nxHwg54C`>D>R~~L{#g&Z%00HIm_=0X)i}XEie!37O;*qQ{R&x- zk$|~BMT9AT^pcBr4#N`%r#?8_%r zwlI!$Sf+o`p$vxu=m0V!gU#|8#8gEu@3qQ|!;L+antgtqev%~Q+-^W0T_T$p7b3MJ z{^Olh=#fNewB6!n7CzkfdcMhKu?PL8P(Y@K-OTp6&8yoLZ?@-V(5Nr;e9e^yM_Sst zs1aCu$dK`aQ*zLBb4cv!X;2_n=`IXSY3svI6W7zdUK`x%=F4TL%YrGfzxKzuiWYjT zL|#D)?|k@bMfrxyx*V zuuN{s6Ti4PV%;x1hhlr>>a*sh4Fgx$T$}Oa4-qkdfv`#<(G&secvk_*Ul)@UOWO)P z+#8z_EKcBYqmelSc%+sR8=f+xJqW#J#MbAQU}WdkdIT2vt1WHVntML4+pa=sOzb8k zrvnravH)B}G%|>~yCm&D@|taPd~3m_Z=+DUdD8GCY*K8QPPm7CM*_&D*hF7~_ppk| zS$?w;L)6#y$Lyod=97_CEg~sNLV_zzQL;rPi4zYZPfy(2D)veNW{GGm5`2z(PzyGz zVi1A-@?ISn3-O~H^cvOA(}jII(>d1DgP^_g1?-Rlcor(ZF6VGJlmmpXKHkC{W*jtA z)rE(R!Qr7QodAo86WV`E9QowlT(Nd-9D-HgIGk6pTWYV$8jqEG#z-|%M!2IULT%LV z3cC9s9KFPqYjn6#9O{@yld)HXfS-8jcy;=A!dkS9P6iV7Tejgyn>AeAf9HIW(xk_CMYKUqVqwk$Ax*2T+Z^uC z2~@b3EW!iyy7NgZSac37-v_Zo%;6ny7B3~zKa2I}5^ka2zi2;C^I3MiX5i|Hz>DZG zGTniMJ;lLf!Z`1E%a9=IaD766$o9-+{8O^8A0oeK!+vH1C4#7FU z)HH5qhz5J;kl|NtQe2E=(lVO3Q&59)#xci$UoM)u@tM3wo3fRItF~ECHR{nS%d{q4 z#cWD*ilr%2X3>Xy?&aDHOtHG#f*H1uo>R8tlvV%pOc~`zoY>6!0$y6L_mCVu{)XE# z1lr5b)OI-8^9=B4b>l)O@1rV9!^gE1pqgQwGF#Rdi~4%hD>V^vlJdtodefH1NKZ2q zU?9Gl_xDr+#51KGT_I`NeO`25VMOJ~b>`u|kq!R&NK|C4c7lUY4np!!^uv#BzG=+^ z4XdEIJu~9P*2KmHgb+(ZN6OiD?Vcb#-iraEWkweI73InY3zYpgRGnp z-sd~Kzj^EF)o#b6TNFtC$g-StELZJ8%#wzK5HKOSuQXD=RVMOAep&IlvO~o5h3?Sg zhe=)J*O7M8R)?fgz_-w_9hLW-dgAa@#(rxR(!bi;oK|3%bFx90`T4d|h!y!fM&!8U zhrdr^m}PG&3!q&J`*&=eBq(8O{Rb?{MokkApza=GaWR#8P0a&eGJU#U!_g^UESC31 z#QEFfg$jEKN)%QOUT*t`+$#uyZe|?@xuF`}X0w@fLpyW4t}TM74ri9cAHyDHh{2u&B-0}g>fxEFiu9k*tnHu3maKis;xbqPNnGft)t{BfRl!U~gU z5{57RSy6RUL*%3R?y(6f0a3!1RkAL0uH7!V|J)Y>wnHz6{?b8Wca+tTC{RH*EFtR1 zZQ9l~ncML7X7I3OX#0Eji_DFrq0+)f-&M-`pjXH90Utv0iU`lxrpJ_rlNb6 ztexdl_^cFbDy7BCpt6_1IMhN7ficPs#nOLtVa^rPNASg|HvS;LwJ!XWzwsP7X%`bu z>j)XGc!lU{`rNI&>voHm?{M0!raZWAte}A2mlCTQZ|8BF$axdlEvgWLAl=;d01KMK1FC1 zMit|C#D}XD{j&x;1hPc~I8lq(2a={Y7{`&Tr*ryDs`!>Dp?ELCDWMc(L^?D2< z^?ens$f{J~)(|D#v6)m^AES2tFcSG_qaghPUoIFn13ARx8vb%`?8EheuW8((aRk zvY}P}-Ve6iU=WkJ_v=g!-TUJPVC17rcD864;a=zhdYTY`vd6HGr-MZk+&>#tFSCyw z7b+LZ5R-+vNQegHOChbVNZNTamFz2F>%|sM?u6}S^}Wdn%$2-}2K+A<-4@)Rffmr? zyfA6KB(Z_war?pvaA9}03z~vFkJ44gt)0>DgT01sCRLcMrt1X~HLjCWWsE)BXx)Zf z88z7pKxGf=%9bf<7tmrlW4zlA84C%z|0E!X~{Z`Ejwv3hpwAMUta+?nQK&gkrUo%ueBgS$ptmquJh-TRzv z-gE+t>G-@GrHXT)Fw_$Exor|f6Pjh*;|ADSY(Ag+9zv&Z-@ITB1R*nvKDM-|a~H&^ znTGMV2yvFiFLIw9L`FNU{S|(%)y}U9EU_)d*)GkkYY+!m=^0+|o;T?pXwWI$?FM^0 z?B@m9k%EPuk61;@4;?$2{LipT0DYsE2gyh6f6E%ynVQU)w$1zZyFt(n2Tj}*Yyji$ zaE}7Q3NuE8r3L+$U~<~_DQhf2UI8?2l<9xhcT>itv})_3S%z*!$>IV}4&WW1M}hwR zjVr4WZAOO7o@hxEo7F95$VB3*YQpk(DRz18OmJrQ#lyIsGU%>-SF3D7991keLB!9B zW=;=e)}hY$I}_z~bh@UJfX}tMckhJoF(rj6#&iPuN04s3QgpzxbyDZ5yklthm7IF2 zt~Rk!5YavIuvB1onStjuar@KImKY>4@a1KpN!iRp!4Bem3&Nd83GH?@1Z{B$mj-Z= ze3$YH##w*V?!fE)A`|d)k*dYMnlSU2%aR~P8jz{0`*&RCi%Zo;rQp57gAO1zPKeed zxYO;}&JjhZt>#nO;Jp&Js_Krm=$!|R?l+No3}hIKrGYj5Opj@4Kv?34SHV!q3kpq?5Z6X-9(jKG5=Kks zH5YL&HMYX-w)v+sdxm&S(i^NkgFUN$EZ}<_ZHdBdupRY=R``w8RRTq0H-+ijq5bWg z(vZ4#d_ky=-8U|5&oLt52np&7tY^aGT8ZZC_Zss#rv`H+%1@41%#<(Of^j#$5oj*) zKg|4b9*B)O84=;X%d-kyFN29RH{)hcl%5JpJya8c(cY(0ybeqe*5R}kmn3U>)sjI!Y;>)zg0FTKKF+@&(aN8w~NfWlskObSX=v-YtlmrH-sLskBx_Oj{Yl82 z;4jkE%JQ?X^8`cx<_Ej#{!0GZ#67mV>jl?B$ce+XycRY-dG~+qSwx|-n|TcEgP!tc z#GaVpdgseWG9f*a^f-77ogq7O3gu8uJfwU<4m!HDyWw7BN6c8NUfW6qH$U#uN^w=z zg;@zhnaDq(3Zo(f=_i!Nd7LRcn~@7_*U?vwD_c0E>31=Fq}q4D8BeJV6?G@tbMx`%8rv&39rj1ul< z$acmAI4_X>bvDEipY&8Bb!=>J>kei^@8KYR@lOfemZHKkn|ia&N+l=NWA*ml7H(c( z+4B!DNdBrWruVLwAxO_Be|CMAx?vMlLVgEC{DB!g*qKl4uZ96^b#`=~dH-^`bH4O3 zXu}IOt-*VY7k0Kfuq3jWvqZ5pn9;5joGjFVUT9LhrILSX}+Lmv!D@#L&YYkds?fva7w6 zF8gn~;AF$FZI0cEoTWr8TqlV8oLNAm8_)3ttDHz55=znN25-L+E@6iagqk=QwH|4@ zhicbgoj5lR1Y3=3^z3h?BLLPn#d_nYqU&(xfKr<*`4=bT$=OpRIs+$m0+mjJi!X0V z@tj`)JWxw9|prg8J%}_4P?>9u_(YOX5@0~ zY$;(#QTXSpBp~X)oge3?@Dx_Sq7foiwN><<3I{|?e%^WlJ7Xkm52+zjbobV zgD0d>PHoKT8j9{t}C!WFeD#XAD#r5#upyFLIlSLRM5+|shojU(Q@!^>jI z6^FO7ocW9Me6I}XKlSP*mcd#G($-HvbU6$)iS@G}yPlH1Wgtz1_4Lj=R@;v(6(v%4 zWve+*f6b$=4A|*|W-z~vBQ}msU3z<72#$Zt`L=22%N8=7rmf<~bm6A-Wb^q59!v6Z zi{?|o89g#bNqW>U5l^qvh75t7v3ZR*T7MSQPmwo+wj^Iyydqj2tY%gKMyn$7M{bi# z)uS-`$NMjAOpQbHzot!trO`WN?Lc6U7gxhWBSIOW&^gq1o!amGl`1^2D9F@FKtAg6 z)WRRJ1+p<^0W= znJs{^SE4+-@1;pq@YUJCo=LRvxbZ7ZGGMb_ZaPl*RMNr_69ezB;?P;zq=wdG8y*)b zJe%Q)gLlr62kFdsTzSkaiwq_+(>leqwzMd!4u`w@%jLNKlj@#-RhQw6V4Eefdj$<> zO(-h=#kC>D1CfOaUDoTg+3elP1(Ts za7hoBn?VW&2jVA~@ANP|vG>vq4^K?^FEQ|?Q%cBKM#V1I#CEEBQ6bM2LD
(!;0lO9jzdbfdm;-il{*);Dn2qZ#Qa`_z$2z52OpCX z-T2q~t;X#qZT-V`oN?2#47#C5c1woj%k>08+Z{WOnUWU*lb@;Gp#z)|vu*%bA>I21%`CZQs)oCmxLOmOSYVXWfhGpJtxYJ*?tw^){F5I85@D-3>U z@O(a3y+kP(QAI}eMg8iplC+=Vb=9w^AODK6sW#k2xpU?GP21nfcx$oZ%pqh)zDu~k z1RcOHXLOXtR*+ZjU4ZgX3ZS8xqSINdUbc}l@Sp4YtV{Sar{ff6EYTmvrdrmWaeI&P zV_}$KT;mYiW8ly6py;ztu-c5OZdTk(EZnaPxqJeORfL*~_&EytERrPF?{#d%Mieea za{%^yq&5|;O_@=ni&5Hp>Txd^w06YKIY(MyZO)}IE+_ee5J?qd{18w_M0 zso>mE9WOkm8>@tH=U2R6^VlJQ|MpMl2<(CGEcX(tj!f$`q_~WAw3B@D9430{>Ks@- zU@=z6yA?yav~+$E_<95)b>nODVQP*bCBJD2zxBE91M8vo;xGeK&1{R_4dog0(x$H5 ze=Z&QgxYtNMm%u_IfODZe$(R<=#-Bot8S4u2-t0n$YMcduN2?YCak`dfMkmt{v)=O zF(7sG^f`9U{{=sFVuwncv6?J-SD~8Vc?&ePUlE`6vwOtw%h>)az|X5CMBh5i#5&*I znpPLrLke|P^x-@kR)1n{)GdRBJp493DM^5^;*9;DTE8%Xfw2Aji#jKaCWEW4L_S&- zwTJT9RtzcMR5f8$m)t z&zq~}t|U+XMxh=6dX_a>{;floj;B?!QHfeU@he-+(R-kAGhmN((=^3aP(8AJckm6^ z&^a_6W;&by(*Nfx5d+!c{~Pa>gJ9S*4sA1~!S27cw!)(3Di1?pv4>>hF>i{0STBq{ zWbZ6(3csc(I`f0^>43y)x#wSf$bF)ri~E8HkYA6?TKDcwKOfM8Gh|LcyGg#WE$&3H z&~2=9ng-!m**-VBv%CLoOLDS|KdGb*YfNr58u?Qi)4eD`$Ti3c*}Gu^5<6TGLDTZP z^>3m7c&|;0gCqyhxd%5Mq5{6*+z~~{l$n;b#uQKqV$ZnF-qitlls{ED@gf{|YTlKu z6wXVW^Y@NjEks)n*31_b6MDb{oo58r??e)}*5;tNEU?o)?{b1PfA z2HI?IlwSYmvAXqKHg>_y@mwJcPit)QzO6GrmA&}%WwBf`t{ZL4!J~bo$B^}WjGhae zBxt4vVa0UL00|JxE24{;+q{r!RI7S4^aKP7%UA(G>IhtjGdD0c(%JSh72j7z2c1A< zTc*Sp?dxVw64!MXXSDf4bwZZ$$9a37ttsnpUIn(2G4BcpzuzwuKbaZ$EFVzV9;m-(a$S^A3zP35Oxqv}!v~!xS5D~Oe`ZlWd5O6BkTuTj84<0+xxk1pxGMy|L=P ze7~qR_0vth6CAmtJXvcKMn!PZaxU#Mh{35_&bwKjPL|>ROv?>o!c`g6#ptJALAj8w z4c^jLF@WTiJbRmibIJDK{`5fe7(myEt?n$ex5ASA66^d%^2Zi6MF z^(Fji(H1t20!99Pi&B2x^AzlQmgL}+ZF%SizbuwNMK#ln!>md{W-F}82YXvG@#u$^ zb@j|l#ZH&X)vVCChuG~Z^@ikSd8d@m3lzgv9~BJ^SgCW*cfj4ZiyBcgdnvr=2(lb= zC!FPJ6sCJj5MJ?-KijEaJ1Wmkiq&{losc?fc2BxXqGJ=>zN)Hft>HKvJ45|B4FX^I zL((?c!>#X%vNdLQuE454zI@0CdNLMS%HmoceZS8 zqW-Bss`zn?^5cmq@(CYP`J4Du+lQE-&J+DTmUN4Xn|=zkeHj)D({bzAC{%wFtFXTX zoMXO#O5~ZBRT)LfTc4kB@9KpdthBsXsKE!xv|(ryQoPF~$n6~51)@j_IK zft|B*Ex2pjjDy8Ud=4%F&=hopYboDQMs_3Y+M=?(03cv^o?QW62Eb|44%21K5_Kv~m$Kv+0J75#qu^?)Hq zG}RYYtgE>hs%qnaa%>|h!HqJJzmsoFCL&EB3)Z)8I_WtL3|(A}(V6;zs4JHPcT2t> z%J1ODbV=EUC!0kL@Ec}y$c#ajzQ{vl&*>R9v=t%@U^Z+WGc!N9sI_pJi|~vI7j9hF z2yN+-R8yrVytk?UIi;iD zrwmB9j_}a={2fJ9SGT68FY)agwbec}H2bQHuhAi5Kd;VJ_1444#0<833tXOe;*c05 zu<{Qah04IPS2M3GFN`8^9ikW<-`1hj?CM`Ugd$M7xMe|cb}7Z6z}B3sineZ6CFGnKKSV-g0#FO9Y}M$3sJpolW+Y{moj z{cyH8fY_ILsDwKW6GburoD)lx-tmj-V%}|T#9R8EdZqlE_7y7z1ibLu@tt&fRrL)= zbM{fNkeIN=5irmIBg{xYEP7g0&#>6NNV0_Zn|13EPclbbQsbq%Iv)!AU(SbI!1uU6 z72$`v0~?9*L-kK!Q;I+mNXwF{P|ydO>xu18rZ;lF#M7^#jD(bSH8slcKv|&N2xdN1 zUG?ES@KHq}F>ty?!S*`T;IbI+v}}?OPhsj}Rk5}>zH#b7Ka1)Z&Gxi?NEKo*p&FGd zz2O(p+|_VF}DSRMv9nnCsMSY^)9SAA$U+$tt?UtSp4q zN^4MC5AqoIx~v=?ZH4B=3inED6AG*==rbbD*zjJ76bZ7ifxHb(rYq*8(04b@UUA%3 zIJ&&x(i2II9M`r5;?BQ|gCn=>24p7z5jXq^;fFuU;^w<$k(j>+oDE)RTg!s?&o(ALWu*2THg)jA;C=$yeO4|AMVFkkkB4Dv5`OOR4=r8 zW}SQM#ZbngPrBmq?%yIVF~YtbE)08V_9Mks^kmVe2(^O@7Fwt)smY{{>SiKZryn;H z>=i^*gd%cllGgL%;f=akSa9-}iBv_(CXE-6OPvsv7PRONZRc3`ZA0&`+bTW2L=ugV zw5Wz!{er#Zn23kmo&66LGfd!lxx%{gs}vGt^-=5oou^{DM0-~Ty1oS&%jWG>ueaQF z7XE>YmxX{LA>-kvD5WWXz& zGM0$GmAn8;BZ71}L_~e{n#KpD`eo>C@n~z^m1&5FJgr|5`%BpLA9i*Mrd9UqtTQyo zmDA0ABJ%jR=e?TVCvRNDZ6f_eL_yZTadgGbI6dZwyrp`< z&q0w{tswFLG+2I{U@H?v05fG5wLF+^+lXEB|MjqEVjfo24t%Jp)@b0@be?MCiRYCp zli40n=`t=gl%I$sQ#|R8v++UpPq@I@!NL)pGSu%SWtYJ?lRIdEA1bn-RslzH_wKSN z5Xd1nqtdv0*TfxQettn2pU>9uwRvKqHmK7O8{FM*;W?&8}HM;nHt)Ev{R0CR8f;`m}Ih zYpNQEx9$Sz1#B)7Zt3_l-M->z=Lx~;DZsUz+PJB#GJ zC-86Gj|5gjRSJJdC8Yr3I#>qh_1hj+(Nc~&ZYrMe*9Bb>RMXjH_S6$^xT<`FqV(;m zrJb`mT%L|3&1@={WbyB}J7%(`6;}5`v9lVbV-fCD zpt)v)yM7wbO;mV#_K!nPY7+rXzt~V=*&~P>YGt+M#!zDKRKaO2q#<|^Q!TKeZw5Lg zWC@90l2dN*d2;~Z0SS1NWa}6%W8?$E$2Th_u+e)tSJFyp#35G|Zc?m@*t^RSP~nJr zEPq6J%!og%yy7Gw$!?vzM$>8IS=iPbzN@DW7}riYw`fBaFVA^A`YkRc}s z16uKXVJMGqjRpLQS-Vm_+9)S-GX<9LrFiWvOW4slb=)wpY&cNWl{L0bB!7u|)c%{hOF~5kIG&Wr z2uQr9*H+==gl#tD1i|=l=qqT+*X>w;XX-PV_RL+a58UY0UP`!X#K_CtuXe)W)}(@J z2zExX)E^)@RGNdmQ}Hay(yvqcMuSy9)Z$70&1u#h-UrbfPL8+JD>Nw3QARk7{5ra@ z)e6~&7uQvHiQcaAJsTOnwe%DjXO?&S{XdGZsOYJzV5cu-*cyWt=Du%X1HvOD4QZd> zj?gmufG-p_TOd1l5M4446L<2E^=MUkbh3nL6IGzQFe-QCv?Yk!SqNy4F`g>ZX7y${ z{xivpCrqn|p6?YaP)?F=7q*IA3zrNbc0**l_}Jizhe1rt^7~~;Lx=v8J}CSn$CnEU zM3rX!gCr!ds-4i>Yx>HqbtME;22^Kt7z{f0UDvtVbVS8n**+L-E5H{W@z@yiSo|w) z)4Jq@VIu7gmX2;!KX=l-yRS@co9B}6;a11r4zEF&gWC45Nw4RdSzwQ01>QCNZ}FA;Wl%c= zdrpoC;U3@7%xtk1mD^Jv;#6jXK~}sw%`RNI_-U@te&%u=jEjfi4xG zCZXt$ww#X#T2yp>XTKb8%F#j0Kd?Q99%GBbO294%tX|>~1vkA#dnL^hhV8jGwI*in zvdikEpY0!-_|#e>Q@sSXs0JTwN+iFkcETO!*f!Q_9h0}z^ zuLyz6FVxeO2pVi8Ntv+?GrIvN==C8zg&>LCH{#{#cz3Fd48u2@%}+aBti=>SO5wgS zA^$8!%IjzG-xa0Aql38gBrM8JTr5g^zAz&so|)a97J2TtQ^Lj*R9u6uEK2w z8eIqHDJO<p@dIg(_X3rdeqbAYh!v3*Dismbo2tyx6`#1G+0Gjj1B%-j~jA=afMd{0do*->t#+aLb zNYGngW2xBxj=ot~cs_q-68aWme{WmM+f1XkZ-4Kb?A_*!-du)GMq}XjCPGN{5~-`~ zkO6jjp*vxeK|M5{8S8dO?1Bvj>Qa1=$OD*LO7K3Utz@uxY&je{WMUfxA5Z#t6X1!E z;e6B^J>)zNQ1p9QiTDu9-4ud30*|SOiY} zxF3S*Yt^(8HoNEjy+a(14Tqcw454`Tskn4p#u^1maPC`?)f|?t#M=@~93p!w7ki|; zmjyunTEKzB?sk}ct3I~nosX`VNa@P;gA6akmLKZH(}&kkf8tToXbh-6wmOpG2Lf^sz~H# zHsu<0faOL7^_XM`g6Twn?3_t0U@9jIEpB1R?av_9qtsR65P^KZr^M1L+qTsD6owOo zK+srKj7)x4S?QH&Lpmy!`2qp>xx=p?-n<8g?YWhe)-8P%UX(Lf!y?td8nN6z_LwMT#ee*+i2r2Sf5DpFC2_SPAS9+JAmFT`r9BS33|@^O`s@*rOz9HScLE`%p|V;oTD$S~m1AYz}zL6iV#uj2L1p!B*5xJY!f3z zlTp?^m|S|Ee{KG&R?MJ-qB|Jp=j;Z_02HZM7Q=AIj}y{aODHLda^oC+=*2Is)x`tZ z<;mbx`{tyuAe41YWW6^HsdKQpSMP(uRr}N56zG*w-a1uhK1^SJH zW*KFFjacJp_?WrljALLHx+@JOMNjkLcmbK3*W-c2Rp6%i9ZKb;q>e<+0M{Wu@2%jy zR5k>NwN`zf(>o6uGock6H1q^4@nn%Ds7AAW_kIvPRHP9YgJ!HW2jkQ1WEIkJKK>-) zd11CTPF(|}uScMXra6fk#3R40+Gqn^S#|aSP^Le(14!*!h5gco4 zHh=yM)5FrC<-dK=<)YuVpwGidZ+e^yJ4W4rh-&tv^T=RoOcthf=Ec%#kFjmaO8YwT zxHfm;BeH3zMFAx7E!Pl%Vux3q`V@Wyyh5O3LG9LDcf~sF9h`vHvtip~ z1eU^j#a|=-F!DLU_3LOZuQtb1DGAD9gpC;_ z>CPG;YvwP%3FA`9oy{4fp)_&qokJ0{HKY9Y5}5`mL9 znMGUytB_dX#|}ZP%caxQ2!{FPf;gS?Os*M{7rk$R?5ld0YjH~(x>=uxSpkphoG$uT zKNbYWm8*sda7VfskzkB)SM|#GI#8co;pj`28r|IJhd_yCIS{tIOxROax47#fzskFp zW4O>$pyO?}y9D4!3mS+^LqHTsj0!ed#j!-`$&2lnNuWcTs4?+JZ&2jy)q%!|9^X5; z*f#hj3Ph+p@$3g&crCpYK>F*g{juP8Sv zz{$Y{Y}F23Te)D!@~{+N_0mI_R#gj(ESoGr=0{lawSy*adRBd^O@ zs0Ab8NwgGo&G90EF&>;Ze!9T^xKaI2^+e^%x+%)~XO`iN#YoB*1}CmI(w{owaLdxD zgyPxZZcm+(mRp00gJ*s59IJ7%Fq#5CnA^8Xblgk?nE3AtySByIvpT<#k zZ!P*aur?*V=aCahmx~UlgaK|n!5I5zwm{2E{ z3g&@uzva>20VVqz&9!sP_itSM zBT8+?cD?7&Nh@Jna_uMh;nHPH3@a4~q8nsUTo{CWdf_nx=j(`KLZWb)EI`SL`aBwK z-(XbQ>3y1Xa7Tk+qSMMCpmU91vd<$aL1>cp>n$BCeYV}4#4|-(aFh=>a)Ct_OIKXy zi>E*g+}t|nB=AjyT!rQfl3W#}_n)6uk5MA`E=iWBYX|2TC}jPYc~OTIIna9=72z{Q zM%>UDe&POo7?Q}v|2=pQc==s^aQ-NKI~)Z2Qanp7R!7LW*u-Oq)-a)(Xi0Twuh5VdHa zYwR5|RncKfD5$~Ed_N664TPL@=4W9Babu>3z}iK_D4|FHZKxb-$pv!5wUw7a;KO*T z4(LBtuN*dE&-lH4YmUta4xSF$iJgLVf)?D?xib;00l_bQnp_`@*8$_ZPLn0p^@SUI zj`1=*=}}jk(_lz8NLAQGRB?s(8J&;bk>x2)DR)~1}i zBD;5Te9!aE3I~k~H`~;ye{^gm7nX*RL{4TL&hUjKd|=~zX9W_E``G-y-XjETVDKmc zC{4(%?8=v~K zf9q2#)IRpq{J({FW@88a1;Fr8>?Z`k1 zt99$yU44&WyG8fz|6RB5)VxAg9{1Bl4CPzU;tkb5Uo`D1Nze;=s+13rc1vKu3cxgN za_GEwmz<0+9%xN6E^fQ)o2hkRcqWcDq?H&Y9Q@gpOo^`6n*2=UYE#Mt@VY8+qQaHe zj*i%M*N)GP-D(Nh$?WfNeI_9{NPk|{gZC?MNs5NV5FkZiWP(hP8oX3f4V!juO;!Uh zvbDH@w8+4TJKSuYT^-9hJ_w^=f#) z-WSe-PhQ!-c!uBX;vYRw5@68md4?{CR0?abn;Uxo)Q0JRN&F7i*gXzv5`i;5N44-) z1Bx^L7V^$u&V|h5bn48k=>6@c*KuHyY+T+Ot+^gMZ=H~@Wp62Lti`FeYrgzXr$18qiv)-BrA&}8Sl!B4K$SgpUp{{1(S zS3enQl6l#?lt6NmxU7d>1(tr;VMA#v{Q9i8G1pHIqQ!DgT9k}!_KP7(elnC8b4NY~ zg-~E)z=rToDATOBv|R2+LDDWcTFVr^gK3eoo*~`X*KDnV?(%$VQsc=_; zDI(-5@&(tm`YWd0p-Fu9_fY{HT67DT_F1#Cm22A|n zTNUErJ<0nkM#*}KtB;|ijK-!V4iM$#Tp;^`DwDK8m7tPlS-=o8tv_$z9YE#5O4oNYP9@18%p_FnP3cG=kcEIC<~gzTGxT zq?Q%Y#%b6LbtPbjXIdR)Jp4n>)M44F%n~iokWBb5Y1gnh1Eu*InV<4YnSD=9y6Q|h z-}kdks7CB|7AjSV78%|25U%McZqYYoG)F};&HG-Vxahe!OnhT49C~q@6*JDI6D3ZN z)i6ZlV0`FkM2K_TCn7d?SxoYwK1(((4}eOZna*^}x#X}=uQh^=h`>VN*yD=>Q3Lq> z{ArCkt&K#9#v2)}h9?;?NhIO0l*@&%m+(?vI$>J>9Q8~fWwa+(=Gi~aO^4WwPR*8{ zU0EG-(v~H>Cu9?T-R-efVy9rT;rIx|P`unMq&U!$hehm}&@&OGHA@j7U1+#I3x)(0 z1RP3c6(j(oygv^{w^Z#^&yoDt$5$d*(pV~TtZet)Z<7l3B#$3<<_!22Vwt^?#N&>Lh)m*T$DHOFV3`BMf-q{TR(q>|!vZ1e zxRgeZ_=2-SCRobWdhY36nRhnI~ZnKa<_TPW|1Lk65!2IR6;-Umd^y#?Q*GK{pAoh@QipPuo(25awa` zg|vjHA9?1D^dLFRwJ`&8MQ9$pKMf3nt-eprk$Hb*Y^dV7=w-?Ko)uC9F9{W6-@Q9+ z<+ZMkDiW-FjATdWczFl>wsXC3iboNMPSuudv3;Kl$|xTNoBeQpLs)yuaMF{fu$rdn zNW8Dcf9!v#G8;yW_U9xcK@AW_igj6aJW7)fxn|;}f@sjVjfzwH4E>UeqT!YY$xp;=1! zMwF{w{D0J>_iLr3%a1QkJvP@F+^vMi+YoT3t(djd3hqtApiAdcd#*1?B!*k4w2tCd zRF?8-OtUSaj>*X`Xo$fqJ&#F+F0PQaUNKmB-#ukZ8^cgbNC$fBl4Q)A znLYhLGCU&9h-4L~nr>%-{~$3mb2}1^^wp4JuQRG}MP;9{#I%lE zjFBO$@aH?AqRtdva2Pz}Tk|%94UV0hW=NbwGQf28HbaWz8TuVj^BjhEbptV7d*iXU z6H0GEXuLc!t`*%f6!>UG0K{|czy)~1)HfE;8Km1B!w;4vnM_rLdCcl^dN+I&{Uxu~ z7q2HJDiRJ=ac5M5GQ(E2pi#ijptriDW8_teh;_`~dOM#jSKF(oX#@uH<7ym_ zCmR%AdD^?S2Gk{^*CUT^ojNpA`cp83l27X4I#Kuj*V}%GXv*STNSpRiH7;6vt#93M z+bR{HqUzh8lrDP*95r0+wrlAw)_Ei^3if}R9=t7&>m~m_A>e{=p6J#iTPp6%$R!%U z=FmY!_~z+#PiJX1yBBmRKZcO-7;;JLP&H zdnH2>urR@eQTQw>4?wZgU=i^HnV!+gt&fq1ZnS>m-@0;srm;ZD-n?BMT8pQL3+<#p zH@;VvVV!<~r!37wWnj^O68tQDFcFuftTITFMnl&Kb8)2#U9~)T&4g`_3o7Z>CyJ&wtfJ zND1bZUu23$>ahxTn_fjPOleRxtxJP(6;fK@G6};$T=1G)dEQV9!U=i_@CyK-1ha6J zg6`0R*p=iVg#)1Hh>_5xo9)C)`~uVGN(Kd10||dSu@b)Q;Ivnmsf7Lo4~-t7VHD<+ zAX2p9YsZa*kJM@pjBQ+%L;N${*Eg!b<%<5*Z($s+Z$;1>!s!Q{CEuscsSeH~X< zpan=LQujaTb*9x5!r}=HmrNI7beyGvN+Ktc@ed|s1lEqKs^`lyQpdr{pj&vqLEdr| zGu;R6-?71weKa6D9>6iTcentpTlS?h23+&9tmx5~99Z9!^i{MQeu4stY4pPZuREcs zmWiB1;cj0e^GBH+?uYWqD9ToQ=;fIMQ1EBVfRiPXk1o!3iPD=$9*taVjGAV06C|x@rYEFD z%fPNZFvnRH6)PVtF{Mig=cdwa!{D^6J;a;qq$B2@@A&F$7-a!yzg=i*uJ;lL++qro znaDwCGHf@MnQG@By|xm&Fka+1^TqLGIrli26@c|eT^~3jY)Hv58k}8-_2)|b_^S}zcitz>BX=+nY=pq%)&!en>kJ)EOI9b7PGN^|8G0Ap_`qg8`+tap`x6$ra`VTT41kQ%k7^dvLp;Xc6HV`qY3)~*>HX|~Qj^TATq`Gm0wSjft zg2is^Ua>VrCMfj<6)Wismh5Z-zd^Ta zSmX7-xd~#Cg1{BjuNpZLD2hfs7Ba(!dF(M1#6q7?{`TvAbhVR>7{uI@EBT;8m*~&0ah0_qye9Gm23nS z^`G?%6fjwXQViE_UE5hJ>l9HLCmrnp=@7=jC-lN3x|0F42T$9bqf3?toKf3_8JPas zC6pQYss2`X!|v{_2UxoEu3Eu6kREBvUt#|qz$6>F=?16ysw^9X z>{7`9Pd!C(&o&k;Padfj(4Qc&D2~gU=6LHk8HGf7h+OD}nSc~7za~Yy9pfLfMOdor z(R6TOfrWmcFIX<$7cbRBX7&ivwEV~wh4QkANSB-$(S1%?xrj0{kX}D}qgpAv()Z70 zkGWWjj`EWqrjzC~MdE8=Cu(KM)qO}sAI)QHFTU!_+ZcZ!oD16jg(rwmEn1o~oi_JE zkWWa}qWB_7Q(LFyo`U;oL-C%42ad(*_dA3R5%fgr3-frPC(`s$E0A>uavj{^`83VH zBI(hIy=y8NG@wIUZ>#<^jPo&87cZP*sm|N^u!W8Xg2ixoKi#IxhFqJhT(xhnfMUye za9(nJ4AF9$y|4dXioyhfwnlsQQuuF_->7e=q&Z{Hng{%n7jZod>?N4y=m>Lq+`_np zwLdJ$e)(M7j{PeoJQaGaMV;H7iQ0r!3$by*EKQeBqJw)Jy=BN&(8yzru5R*A?N2wD zhz*)mmM%}XGvc{rMywka0)`Y#(j~;&C4hTv>ntJK4mX`w3ghCnr(b^a1DC7&*GiNq ztMt#eNp|Bt@YksN)}^}9LkxGDw;G@sRsZ93XusmA4TABC%SDPOML{>Puv~8o)qxEU zCPr!xkA**qEro&{Y_b#=+Y1m8DKrWfPJAj0PciZFw@9vHs5M|-SnU?SM7vKP6ev3~ zek%X-v+6h`vF3mEXwkweK7^0-`q-yLI#w`Ogi&j1Fwm`yDrhT(W%pxY3A=|`!0Aml zk`I15qw7^%rzVlQ)eX^C_7UOa_d2@o@@H8s*(8PVS{v9h9X&Rwd_{dMpdvatFZY;m zJxCS=rle>vlD!uu?Ic?TOH#ANmBGlb0(}sJM4o*3YU;hsg(lxIt!6bj68X(1UKvqN zptXinc4J~UBqEu`OF9CuFyt-%dQoH4A(&YD6l#=pLT*hvtOLd?4flCv3O%*0!a~U+ z{#=S@@WhmP{+3GmK40R8BGOQtA2i96sPCDLEfPx|HN3jfjh-)u18FqM8SrFJaEp_^ zkE7{cx#n~6K|;@*)!b--m`pVs`!Q%Z@UTP7Ed(~YuyA>6^Yu&@1{RPZS5qT7P-*Li zF&T%S}fIe#d z**`V6W*%yjmSrXLd3y|5ozy5X%zUT?StlA%oz8#jT9D4we6A;{QX;>k zetTBiV~)Bh1t=e^@$0p*f16m=wA1xAwmbhGDg;?ZgpDC8A`Klp2VjTYF#!h5gIyeE zfNV6d)|x*h0mCy!{f=E=6e;_*CeDM`F--RPN^$ACJ=T%D6f?K6hAl;VjW67TU1BebexB>x|vW)Uy7j^UqnLpsBAxR-Ha zC2vBw`=;GP<}J^6V@<59T>Luh631!fCy}{wYUt2QYZSQ|IS{<^i(=}eI7jq1f&Lo) z?u-To89Lh-sV9kT(^>CnC-Z1AJ#ozrY42)2ZVj4CtUoqW%i=rj(LQ)neVh?5R()AC zY)-X>@R3tY`L9cG5$CB_1p6kS@3f)LiM6X2%M|A1UjQFu^ zf34X4%cF6!!lKN0=qhKAfj=@2vM#TdFsr+U&l!F4_{t>k7gT6<69sc>AS`>RA1&#) zEC84ZpehY!T0LDDSfN}Y%giAH8BV+Dvgm^gFmu_?8f6iCM`VfV^I_h z)SGnUZK9QjqFL7O-hh5-%#!U5^wjE|bA7J^FFLmlXKwY+`Ktl#4Z@=`r5Y|+eh~dO zS(H3KewHBsVht(QURY+;FQ|AEY z)CZ!C@G|iW;DuL1$uaMICRctu&jVU!h6#R2f1Lr@7SjU#gDJUI4bkD5 zG$4WrUZ*!vzmbU#?7q%KJre3C4Y2>!P_e9{-O#)`OTZh`ge)5D0>I(xdGs2-3}sKR zUh}Fc+yESy^rsafvzm(o)>)b@-jTst!D`)$4tb`R)t$3;G0k>Le@UAl<+8=?p}xw7 ztq+Z%Eo$7kTf#!5w+LfM5@|q7lntSWT^TW%HX`gr(HW7ajkjo%24U`d0y+S7 znIr~!Gd(Xg&E?}U0xXy{z&H=Gd2j{n0xEE+0Ze!$K>W4RfF8VTYM!C9lW@9DmIQK$ zS`2>s+O24?fyA!m0QY!#)xXujDCB1iQzGqXMGEu@lHQ*gmgV=D{^Y(b>AQ3VK%a-_Kp%f zZD)woGuyJPycyL8cB(*7`+Gjn_d(u4^uiF}L-6`ULy4eKEE(kyd?Tr1=Y89^=K5kl z?Djb!?k~r8S0&@I!;wp)Zw>q zuQ-ej-^)hN57;7YoyeaE1e6gXmj$O;5m8uQDDBh=3#lMUhb0Ovjhm;o)rTD<8tuw! zh#n}8&Gqz?A|lxHl7*om3bEM**Y1#lful_`VPMV^2e1q))4K=Mnx zZ5%RoOH-AZ|7J@U=U;vkrC*~|c$4wkYP8No?>BzcEA1-1hoV>Kk>?i{j!>w1t{_G` zjH&*Z%j=@(@BEG9Gz?46t42Wl$XBPQ#$BcdbFGV~yw>>4zpDAbV=v^TwD+lUOOp?P zn6=w-Xo4ouiLg>&dm=a}w^kQ|a0$m%Q>Txe8Q0jt;sEFNzL1!S#PG!?Xh5Lr9_5t^ zakq3cGuZ!#8#Qt<^xGOsi90}#iIr6?9%l{x5xz_zai@&&&sYlH)m}n;a`k}H---=M z z1yGZ^Rt1C~sjPDYKWkWLG9$kLswo$x&NQ!dNo%@ng0`jyewUtT+GEutMTW;MP-`az z#wzTLual3|8W?q!@;NXo0hr43X?U&g>GL5!!seP=AVh-9V;XC0P<%bdN8CRuh+O+b z*SC5b@F4=R*sblBB?!VZyImE>F0}toaJ^q z#bFE_m@S(G0T4C_#?<9M!(Y)|gIW_j@NE0$=Suw#3E7~7-5D6LNYXxLrZ>MCmI+5A z>KS#Yvu=`K7Mw2~TEDZ}2rN6?HoF~1nas;lGZ&rev&s=$bhrBmf55~gu71s@rLk1k zd&AAE!%l^>qzP*yRYwWVsN-52>fAmVngJvCGQ!QL@x^4NaAA|4HAM>gQqgy$*Wm4#VXlcM2hH`C$Nr{|V0A}ZkcF*;EmrZURE9kqHBuAPaI~bH^G)^Mvd1x)oTw|A#@%YA?JN%! zg2Fx9D_zr%q)145XxWH(=U2HBm%B6>6(uBMAJ6;4rvdp)S8ga@6`dv^bs_}WWl&mh zA!T<#=yeqkFogm~^$s645lu?BGiNiWYKwruolcv^d!XNg`-A)IV>1pMcl@0caf^9X z@c%SpM4Lc_1*a!%s)e4`v$#JgltT+=0xD<7`*vXWh3@=UQGY`*+hK}su>>rberK#| zXny;4DS>IIV;eIWv$ov@4NHyx{9KX-QkG6B@d}$7;qwr+n~hbPBL0+~`RKMBQf~Gd zP;3aSQ9wdL$*V7)su;zqv;1bN3t`0%RbcKG6ZJ*G zaw^2T=)pE75L#}=CWmKi5QTXmudT!>h^LQw(rn&%w1@v4D_Fp(U>FucnZH zTdyHgMpIZd0%`CB6!DB#>IceC$8!S>lk?(*HS_raC#ecl<}5#nD)Z*m$>|ZDV-()L zfUFnrPw4V0FTTMNj}q{@av+vS?=U@jJv2WPHwKE`sr88OQ0fMw2Zl)UM#+bGIDBy` zL@MmL=w8mT{R9ygdM7KQ+d2HP`QJL_d!rZUyvnbAhlA)U9eKaX)p{lZW4mKNsf3^&N2GU6VS^< zUB8>`L8NY7N3n*T!c6G!mcxFy8sSExido9Hb;!dK3t*9si6^1kq}Hw*yCwe)t8O@_ z!Z|O-q|-(KVN#eE5P&B&&cO!Dn*K_!wzcBwDHtdX-T9edv=AA|@U%+`^>yob)S zK{k(~QQe)gSyRE0S0T~b z3T;IG^n$aPD^oS~k=n}jP=EQ8!NGz7)QhB5o(C*;x)w~D9I)H(qalJlG1qcf$xjS! zbhlQW(3~^fPTvfDXqW_KubeD`3CDqWFE@**Z7B`xfJcdin?h}C9oc7>?ET=ADHpop z6QA6;mne5H`PP^%0r8)BefP%ZMJCXJ4kNI0IFt$|55T4ez*!Q7}_eXhaJi-c- zRFJ?&K+t_sqjbss{&qdssi}(q@^K&qICu-il?xnV-P*= z{KHJvvD_^zbO(F#AzC~utYNWiF&|U~+NRKJs4*ZLXV+5-pYi+;?ilkfE*V5BkISB& z*(>2TU4T{G=nUKdhHe z&xYYgbX-v($FTw0l=YO0-esZ}Gz>dvfSrR0*zF>ZKUFW=4K!t140nqw3I&;$XLB|Bg;CTn-N?yp4{ z_p4b9oDe)~{mbUGHv&NRT9|A+uViDUvNuPARy7$58eA6WWP3(DJ1;>8zu<&48GqUSk!P$*wZsaj`2qKi1>@mZvp1XXr4k>!A z^Q-pg#Q;z#q@UIi>bJstpck*cuqODP>2xB-)gGsZ@p_h38_@XIO5YG&@N;eB@;NvE zg=GR?NJb8_zq1VI?Fk}}VQ7hpH;+h(U8%j`!4{CxbSlxJ+_hMK*;wd&OMM%=jnH>} zLEp7YKQ_L;1%(j zsO2lamy$Xlpgy+jvgu*D#NFt&5i(YOP0MioM6o>SJ%FmY=zvcBKsPaQ&OCycvlq4; zGQKxkL1Z1}It*_Ud=Y*en2%WlOL|z!Ms~m~SZtQxDC$go%zQ6_bsIS5sDIq-g3d`p zbf3BO(7G@Xx%6hP-Ledc=RHy>+vm=Yj1Psk4m~VaOrs6pz<3)GMUYHJVCGx{V)@h zBb6Dc9W@OX`DjJ;m|k$Zj(<*!J_OsBHE5z~_?#DIR_KxE_2wPJr1>_ctM( z{wGeqoGw> zHJrln0$=}OVde&3+tZ4;s8f(B(uvjF| z=iMg~bx{BQYOSx@>mY1Ow_(}GUhdD2Bv7*PRUFGOEsB)rY= zMZXjrBK%7lG&YDVRa}zIejQN2<5A7i@?!?(-fj}6(L)*y z(o?r3lu51#X$_|eFkLwyNy!WNoBltUC93w!uuwgGL_&0b9u zzqD}e2DMXPz!QnP6C>GvIQ>o9FQXkVkohI89HK2~{!4sXY*zMq zNVTJ-kU4)GSBItv%}XYAj_TJYKT(C2&4M8jPOg}~=&v9=`&-j>G-(4loBnzL@Rnj~ z%MXL;hKB=VK_cK*iHsFLt{KUmQOz|@5%8vZus1o-PWcygo>w4v{)8l zgo)uYtR`fmK~e{U7-g~+xh=q#!sM>l&ETsOymN$i zn38JaXxq#)Bdp?I4IsJa(n;nHz#e+xw#wSt75X=apT}?mcvJY@$5L7^sFA*v8)jDhj*uiCw2aJszLQE$8SUQD6HX=I-o-H zY`)vPzIxBazH+z+aD*5#m`6~J*;LFNlCjW`%2|yQPeY#|qES=Y=W~Q* zT-5;DpF-?6f2yYOGzZ=@v5TK0Ga1h-Oz2sAvWC1* zD4VoR+~hhTfKp5uaFUn&(i(%W5_TOCQ8gZ^HgKtcX<6h8K5CKg!+9$V#6dFfcB)K> zV%wV?h>$wfj1-ZG;!eQ^HD{!yeATKY zzK6;FPUb_}gvnN)M2ch+`LH=TrVBtkSX|_?M-fM3n~p@bfBA*ei{l{f@l%#5D}cs@ z*u2%zl}^2J#Zklq&(4ND@)rIYT)4fyf_3}p@N>HI4pSAGk}#r&OG2=Z!#C6caqpND zAgv$%tj;=&vynpB0Bs0$y*+?loCyt@;r5MY%fJ6=&kdq2l|4~ss`-i=?S|!mq6-t` z9X}3mlQ69g1~*PxdZNKjhmz9HdN7^#aA6c~@G*ve|yrJLYd9)36vCYIs*tXNVM{nCuiKv^Jn!^zK{jn2qJ))0o;;L>k& zh-=~TC&D~)D1mle9yJLbaF|aOtxdno6N+X0QWwm7%5wiOD23hS33meaNO-5md(!2V zteyk`aO*<|I;Zd7QJ_4VRViXUH`tJ~-v4<#sLbrR8Ta-^Yk$%;(^ zw1QQuO6nc`b;H-G9Ybm;(TF&l_&Q^jII1ygvbY68kh~8byjdnt z^=CygR3eEJND{!i!Y67{8D>-lPC78-dTxEs7^xivLu5&Pk)PU6L;zaXtLnA6!=wBzH{=GpL1ele=Rc?rP|KHbASrQ2z0qhpU?`9so?b!ddIBEfw+sNhit@}y0q6&bU6KZ_ zoXelE58-2yS>ZXaf?rm*5a5~R8W4Tjk;wv^wV}CChR}+ZVhjq? z>o@l9>B*MiE8$&ypN*bXBX2g;>V*zsFI)jqV$;uia-9<=BU!5eOL2+m05EnN5c>e!~=5v8L4Y^W09EO)0 z(;(-8Zu+I(K2Cs0qz>dLM7Ep0QT<*55J0aVmHY_Ck1?fbi{|}kyKakNuaNY^?$O5l z8p}vDfLgzJ)5xVC3=d8FVGGmF^`^c5T$HjkQ~V{2Nw5%!cE@Aj_Hu41d??vunl+d* zx$YFW1D+%~u;E;&L*6sCsL=mbK6I(0PH7RwBO|J&sOhhU;{33*QF$pmqkzSJ(`2DP zbkj30#>HEO=SkzC01>p-cMtCW4B@#7BgwXgy_Xixp5M4o(Zogw@o=W6zt^1748PR| z#g9Lbysyz~IkPun>avlarJ!vj@_X2i@P?4x0_M#V8|E6wxN2eaBi9h%d&c=Spe4a4 zP~iUfnwSmbH2}?HW*}m2A_cYZM{;z>K2xhPMNcXTv(V5bElrm#|6MW=C(sv<-xhgZ zi4e>GL8Z}7a5JI4ACnqK@(6sVov8ka^LY&Q*)Py^@8XVI3OBwx;ajjh4!*PMr1TMR zSV^xd+^Pu$O{-nxk<73T{(C8dv6GsyOw7M^Y++SA1@`Td{LQ34QBuxY_6clnJT)*f zB$w-S;N26SpGDjke?l(M@us6VS8bKxviynwS2iQ~HY3TH+|pc1bZHVQ=(wo~^e%b1 zp8Dk_!07)kt|S{@*)AEt54uEYqIVb~XMwKMK7n-%<{cKZS1T?ROx~KbR9Nq{CgfOo zSG(>8i2NUuZq*6i9qznt6!N|$lCr1^m6j|BGmV_;-%mVNS~n|#t@V(&3>8g1@rJoN zlyw$F{a2;?fbs@R*$MNVu<)n3DhUHnWAE8D;BD>@f_ebOdTn zQx~HU+5r5~k#*G!iw~*6zuo@vaLue64@zDIlZR-U%c7Cs~%VNb2lH+~e~z)aVe*<$j*Ie;*Tp zR<`MuVXSdl{Eoiz4{NLvFE5tOPOTJ`FkJYUZyaCX@AfHWo9z%Fv$=t5T$US0=H%5l z1aL8+lbMu_s&EE6?=|(#MPQ^QlcvBI#2FI@4&m>i)p^AP4M(WmZu&;_GI2`dZJ5UO z47_2VJAMjf?SIS1@1DK(lC*3;7!}g+r!4qq&omobA5EtUxJs)~pfotsz7^$W$>`)e zw(l6i`UHHg_E*_e_l_n^cn~L1!F34>0%dTrN5eVOWsI{|lA*BLYD+bR;^=E^ZL-A^ zfVXa@6T?EG2Oe5~hmX6xH+Xg#^knaL3ZcC>>0;0lj}@xQw9`2w!lnc8)UwR6dpIJo zK&XQXs(d~fz`nb&T*`e|;$+87KfNg|1|$Cnc6s$3h#XpGwO=dSJtljE@fZ_y7ABD|jCSY{m18~OBA|{@zt8<0z zn%n|nZ>d_SUAy66qX%AAdcXz;=|hD`=MAQz{tFwnZK)m398~|(_k-%>hLzL&^ud{h zmjP|YA%jRXI(61HtL#BEs{qO<=d}Z#Vr<~caiAQN3RQ}uR>=ZhLv`?R2!IzJGb$|< ze=?W6e%?jq48(f^Sv@p-iN!pNKt`v`5OERS3h(q*CwgkJ_a0sZoZkZnBPH70*+Fhx zzdiW)3yX|-vJkDrGntu9QYGvkT7d7AMPt_S^m1VNwPL`LnFTo_JF)+)rqbn+3`hAD zLYxHn??J4*?K*x{xTQR;m&9!qinoCs7^3f^72yM(b#?Qm=MK61@m zJg{V_WZ>ooJKby|SPPE?QN>L!v2-j#^sxWe(_;krHpMRQ2yX76yG7fsFe-cXnbXt>cAes`xUiMezYkBX+M1efGFHjGo zu!5dtsu`U;3VVivzc~(XupwE*>(WhvY~%}U^B_`>yEp#twdtXOF}T`p@;TvTIY0IG z+1kJ*&vtsW*p@v5k>V z3=i-4qpUFJy{%jjtK3SyIc_0?Q=(@lDW^%&z)M2p;nHHM`(!s)IU_Z`6gJe0X=o3F zw)OV`o^s6pC0ft!jK@T^N1PmI@z*tzi+AQ|0Hn!M6Mkb{9zyL?-qE(H^k}op(#C$X z_@{!GgrsH-Dg_q{>vBG&xV=kJHxJK2@KG9$9%_~d_OZ||>kh;eK}sGhFd9A+vDzra zru99knkT}6MxvJapH${%_RkA zgvlp0GBB1jFiMp_F@>J>Pj725d+>dSUb>V#z?w z4WSYC|1g}+ug-FYnF04CNmmk{?TjZ&0o?)!A+Jj;FuuSu>v1J%W&al)Bt@Rlfh!kF zyr1m93%A1kvZBP$qXmgRnS;h6X^T6A7KF|uPvTxI z?!uaDFQNvAwxS2h5C~O}h6~Qxv1)8JW6Z@XYG0gV3HaFA@>7zOc_xGB)s#vk#3r41 zh6!8mUO>j_pndssKIG z{dp2d1OjO@x?=s$rar1zvWbCE`?%Avso`MnNw4fX)IE|#DkcidWm=_j_K(e6#N$nH z;A<$G`iQ~pB=#vj%sZl;dEUHeZm0;!*#!_&qt}lG<}t`0oN8k(-BU`mL|oxE|DRO9 zqjKD4H}mnR=#bOFI1wS|W%B7CGE0c<30#V{zo?yf0#tkkOpa2ABktZyrmbfv=lBCf zRglD~Ux1v)Ha4$d{c6pVP;`vM$FvA?E(j&e={Gm4K+b4v2KJ~7$>lorV zB?80VVYhVrkq1ic7(v(FKGWjX*VFbzV%GG0#F1JN-|!+TYv4fBcJAq*S1mX%39nX_ zQ4~0#H4SPP<+XwRd-z&8XR*N`m|x)qfB&0b>KZCs!Vm_;{fN%?D#ZbR#!CNqt}*tF zE@doFw-D*uHxzi0W_Q}3uU=UI18gA`LlC-Si3QU(Qg9%a+%+v-PB#TgPrKUjqGL`P zd}&&(lf6bRmZg9H-&CYco&tl^KFii&6$g4_@0GsX`cb=PeQ4P7a#ZZ%YcR=hj|MYs z8NOKuo#|G&gk5hODA9y*4V{&6RVv|QkM7=DoGSUQmR&is{gfrGVb$ZNxr0nvF(`pd zcKVKp9fA(%y14|olE6|QmI3zgONEl^ktou7vod&t`YF2NI>Cy%js*LJL-BDjak7^1 zSJ|i7ErOzK(D;4Oo75JTqsLlqDoZ z>9cxQCo^6Offe$l-K3Dq?3`FZMT_yf++6bJb=f-A5Q)T0rB=wv3p?2ML@^?CD18{8 zU2zR_GG5^8C`We0C6u5aIG<|WxZ5ke_$+`n*`{aQb)@btz|wb7negIzQy}+gLBel# z!``&RP)LIHb0*xBJIbemd=6ue3E3+9q~sSG+He1o2Hg4|4QV!5aoS4S3W*`WL#xM5 zOJ4RbZl~~+(bX&=tm{Ja=RtB^MSbjo+j-v2;^Z4zwZA7}a^miy0XQJ_`aQkSoYws4 z50WRvvnMWa&L67ehM`zS14n9lb?M!y-23+9@zjAiZNR%91_og8yn zHNMTJdq8Y-lp;o&7vSt((h5kcPOrn+n%Qim)@jsvgQg;r1_z z%Te(Cs7g~T3*g+}#yvs3^q3_Vosp#QbKymRq0*(bpdg?Pu>fw!F?WA3ywnCVHDJ2I zb3qwGNlt3`#252}PER4mvIjetCDSP}A#1KV+U^(N`+)9^isAL$?Z-egGpcSshkGfB z{i}b((FJk3us988m=U}uV#=wu=M?FYt2B7e1uiOIZltXk=N}7cY}ZvkOLBzd%<0`_ zOx$xWZToWo5=3TSU(|+K{5E>tHL5^JxLQqR3hR06>OpOVu*m^nQc?I5kpf#cAPG3( z8H>8V6+9!E0*PC>zCW6SI?C&r)I#4`(TT`3>H_2s;ji4!3@-sdE3hJ00EHnVf^(dT z`hYHbq`YHBVRM~{3VA3yqVNYkx`l^$KJl7yGUenFrvH8+Rk;w=4*O{c9Vgm4di3`G zsl;rSZ@CGdX1`Ez+B~d>{FeqL9EVO2DMH=zw9~@mYCp6%TD zz=E|Mc3WiGTN%7_NhQ2fO-XAmorlPc`l;7UkDp0~Xa zkj?_%_A`s@oBA9KDep0W98$@FW9B1!?cvJQWV`xeI%&;-%In!ORsEO_=#*I{btSragDkaLj7NJz zMIDv%j_Pl)#aV6x{M)dci;Ra$&q;HUHmwDs_ak6SCqp@iSIG9I*t6l(by>T)9OKi| zhz)lT|5sdp{e*=`R??f`19c4YHb^}}$`V$C-P|9@a&*HAgFq=GS&i5%F$={a32nwU z^GmB-ivFo`nb{?{D(v7Q_#7>lr;jY2tr*l+93Ny&ot?sbCFIFYeY$fgtSmQLmUZLw z+R%yF2lq$nVBXms88bSyE;v^=pGo{xf|xua_@6D?@&s2N2e1T@g4!Qog$>saonQ|D z1wiM50;6Y)e`lLnnGsGhAMG@@n}D-Hs`56w;*97?IU2rZqmuH?~&I|$S#>vRu((P5kT zE9*lGX(Fj4AD0drU4`pfR($dwtU+N`0)1cSY&WxDrO$i!{qo(!s;d5RXxVE> zJ9PRK8{&PYC8+@vb@YKe|Cb_jxEsPDwAyLeF@)k`zY}n0|1Oj7^}yC89uNiPA8ZUx zlfRb=;|9$OGh1S_{a6=ZUv8aEEv0*8(COd@Bog{2d{94+@**bMmPb5cIx;FOsEC1lDV3Z;x1 z?@D93epM2LlummdV#*CzN<5Q;!7i+mxO*bUNHp-+f*TmVVv{@7RA&l#{l2FTOBM$3 zM-#SwICq&*0!Z9nolB~CwK>&9PfWwgRO)^}{+i4}WMio8rFq|GB0&9DT~`Ha9Dp>c z=hhvO{HxPA8}5pbuxe5QCn0fU6YMoVu&rP_Z8GDCx(lcJCt~!*XcE8!BqP9flb@A^^(*C%;i4of+qB%9t;k5w-?O8Oq>0gMP06S2;uaU)DpGVQ z=C-s4)l$vo%SnYugFhT3*ESjL=C8n6^nF#B*A+`PLn_ zq7P28!rWVT!?Zw++MNA;DFZKGS z`R)*{&Zo)zPQ$C5zMi3Da1;t0G%L7U!3SCu;;g!6Xgsvl@Mq?O!r+0UxY^l2+O>3N z(#hL}^5J=gnMKXcBY|^B=UK+36fJq=F?UbFY++`k25{HJtNG3Qu($SHW9s=iN%r^ z1S_Zy1QHVZseYV-c+TGJq}HLzLH)-pF}dual{d{+K;dq+DhD5N^uL6Aneh4*{f{A| zKBq)-#-r&pB~3Ovl}5DfN}qbkj$u9%ypKrIYtO*YB1YJB`-|v#Zv(9&0PmQuKJ4mNGCa;A;o=5BkeXjUCY-nu+PzawT3G z%Vin+^oUAIy&WIBEfZkUZ92A6FNq0JYns_yF6N9abn$~4QO3I$yVF4m{fO3dY<@gJ-mTV9-deDYgfJhwz zjX}#%8v#dyflPhFZ<+}&mmY!DCm-3=n<`4VcC>=Ehx*JA{ZoVtf2g&ai8;hiW6>4mz)yaiE*tNPt(z$`Bqt_$9PcDj% zql*B`o%WomXJL(AuN4EezjD5x9j*)U?z?-qXR#C-N|j#s*nsVEod+C zMa5JS;rHQqsV&@2%A|^}3ER=zQ4;n10!&MC=0+t#F?!kMJtSTh{oERM zQ7!ZRT#R}X__S$mAO8*^H(9zQ;!mK&vHrP+0FXZaGTk}mI|x)ARa2-px;J8@K5c(&%K;a{Kv!YN7 zll@;r#eA#krIc}3UUc41=-}`%KB=i(pn=CCG+_|X=5i_qD4Tv5!I*ouEcUH1)D#Xm z;9(LSDhSvb*j4vDm8@7cB2l_nL>{B?W>x3Jd&R_U>+V$cnV&uxL&nkxeQt!3h!%T0BT_;hc&n2hHGh*gPafWZmhwB z!;B);tJM)MUwH1j_myy@_OVBLd#Tao+{%s&%#+g`7nJ!9#Ag(%O_f)IO;n@+4gdz98}=H;ph^ zy|Rsi<5l%rd-CS4?~emtRx(|+pi3MDh1m!2&E1Q6G1(L_gxM}s;_N>IQzi!{CB?I; zXwS3tFFvEUNMrhLszHO9BaVyv%(Qx>#-P|*dExqp5ttolvqgX1=eYTFv*OlW0`ftU zOG3mjjwLGSjHDJt3H9s{Gk$6CoLLWNIW8-u^D4Xj7z)v8)YP$O!8esE2D3>QSTar+ z?G^~f{Hg6hle!RYQHL+dg0)+eJRw3WWBq6xr%4{ZaJ}OVMSo1EUCr0?y-o3kbG?g8 zs07iF*}{NWko%DsWP&l^D`kp`!h=R;h4TQR&4Xy@sa; z+1?EJEY$8jXu`}RSj}<_qe9cwF|ix)PphUn1o_7#ctUvtfKQgAZj?& z!lo;u`ol~UAVHavp{>|PlHD43zOu^o7?j>`=a;CT8VyCXm!ga*cgmg*Orz~yi*v|l z0>jA`ZN|f`%rYJo6yr~c>!4H&usDZ zJOYCFGFR~?glRK1%`MT*G?)!)pYeyp)$^LFGdy12Blu=`%!Lv5mL-!LOQ8K4Rp7Iz zeImN|haSwZxuU=h;6aL9CLNxkfA11HJF#n9RGYV@N=QDiHw6(>^z+Q%C z`D{Y*LRhQ%GQ|WjKttS;T|a-r4S4S`fJYAJpta#GRwHrs7?pi6m=r^dd`59O_iEch zyVsZIAkE`I?%&Tl`I>8RyQ%+K3a4B>ZF1qt)UhqA_(<4-9tzOe zcJ`-{^-Lm_trq3P{J=r3sO6wsjL82sJ!nJaPI~UiwPB%&b_MOC^;xC4@m0Z|TLX~%v*7zvEb9tcVb^`CHX6fUMS^XSE9N9(~T=jJmO?}j9 z1p$cTJ;(5hZhXuS!mkz2`V@XcL~%`>WWsq5sF$|I56@W!e`8DN(H6wA8A zwh;r^fRv+CH42(^vURXk7c!X9=?+1o0q*KAvrOzC{HI@3`oO*S3;U*7B0pL}|G`c8 zPw=GGL1JNfq?sq&`Gr^>eY9zxxZmAisuoJsGoD?!3kPSv^@rGiqQBflI%SNlF??O@ z;9zo;(hxmlg}?#sB<~*D1xPR3FBop)H@8<1DQrUbt@pu8&{M0ABa*<-hn7GyR-5?FUDSZ5{Mi@w%lkrl_QC#r>bJ2KmPfKpAv{lWRiN*D#1 zVBOK?%-Zu1dE-_kz@WsP%D&YXg2a)#26DJ?zFD!o{z@y~o)4uwr_mO?G_r}oz2zc3 zg@sTyj0xYeY-4aTgKmP{9PQ^GuNlWt z?q&T;G7R4&#P`*fKscvhGQXTeJWxBbr=uSXN^soKDEjYrs z@^)sP@WP$)1EMWgH^(48aG2rVNiqc+4XI4d*7`gnj>~A1cE?TU0q*dx zUtjs*e{8?ubd(v{Ae1S!#gwnlW{2f_ZYJ7HXWuH|3iidO}$*p`dBJGgmic$j%OeqjC36gg<*{O$xgBRnm^>r%e zzkG2flQ?E8e-9dWjBs&FD7s3Tiz8>L_i{n5nJXXO_P z5%wdF9b5UKap?P%Z#|evM8XDeVK^vL#FmP-LUQg0aX#Z^Lk0jzN>t^XMM*CZTkjeb ztT@Hd;SF`xdqk;Z^R1k%`xQ9PC=;~X~o2Npk0e_)inh>XQG@%`uJ zVB>yvhlfWK<9e=M+FiJ=n!Xz^5ZxbXz zGZJ8N(|=j;4!*ACJ*q*EZSYRt{PdBia8G-E5q~jtcG=Z?l&Y8d2YcI*39!09**O~t zxdTIg^=BqaSm1Ak7y1-t0S*PA@Hn@e7i~t*{)g+YBJM7MM=+f%#QW=`#FHnx&K_`Q zCsJPWl6p$Dzcsb1ZV6C|b!qz!D}h$?G++11h_#=$!JTDIcNf%&<5vMvKHb((^+3$p zNG1Xu)i4@jbR}AHvG@A$EQf(!OBF*%<3m`0;3HPTqU!@9bjB1H5GTNLjg`d*kI9H> zj@?)7<2ypwBhJTnnr>O=4Xh-f>@cF6CxOm~pYbtbEWUp9|Ml=*P(X;!yy~TkLbUk^ z&Yw9QD#*)a?(NRvek2We-H{TxkZA`>w2rp*mfa&#mm9xu*|hIYL3S54(guB=P5{=dm5U{&M;zSp!+kTEB`y6fm~=&uO&5C|() zxhKivRGTHy&Ul}_s|yxdZregj#LwN_3bf0=?5P)4b@_xM;9GQ@JUB#Z1A+3XBifOgZJBCB6c z`1)Q}cF6#n6FoLxU0W~&C!t2+MSK>MUy${9+DHitbga-DseEwZ|2ZrdHhU->Wys@j zWuR!vXMsI@gON-$MVU~n(q<1ciN2L- z7p#g-utAo)hw$49MkazZ6DzbTFp#ah(rD!p9K;pj*_))QR?hpH*S1sB>PHQOu+$XCvK0Af!T@`AAaPszjkCSl;4uRw*pHmlxOfSdHugD3gN*eJ=p zw497hd#ftN5g;n7-_trj_2A%CF;HfDVGy0esuMG5gvWlU7!vx)j_N;8SNikYRlc0> zDyj*f4?<UW(( zCfiVKtEDtpYf_<^HBk7I-NA*2iVLlEAo0N|Kymq0(bqo>pzI05CzdJ&>q<4DJuTU* zQQDRd?dbbF!KFNPl_-#{+`}%>GNgf4Ar9ep8nr0bb1C*h6{9K-WysE{_z@h@j2h}V zd~F#;0ocqjIcDEWEmKwj0U_XG?xIXw@?A-K^zq+BfGM@X^g~ ze}<+XtkPVh049$o=#=J%${S?9D5UQc1kVIaqH*Z|y9mLv249Kji~_9p{Zse9Zqc9g z=nV06ev37tU=X$HXx5x!)x@%PjG=sA*pf4jgt6-;T%qa}iFN>3>p}K7d+<{^S{~J` z!hqn^v#MVZM$5w50?bnuZ2bS5YWL|o#RW{(QjesGxna~yndKfq{Gf@6)4pl;SMZgz zhfS@vo9z#x37AFqV<8al>8ASM-hJRYi4Ns!-tt!4lisMg5!P!PiUr(?ld4d5PrxF? zXQT#fQu&lNvcY9#=!q~VKz#ez)ks28Z7C??$Ux2BkDh7R{c9h;_fcUwj3w-fhx}WS zrxTT_v=TzHC9o+N#%k|huHaAF`KtxO)xIPfFH{K8(Jmz$zh%nY*=@|OJR14mQN1oLNQ3yR0;-ApofT^$$4}M~qFE`?1(y?CIXn!xr2c>LNe8fdIT)8o;pcogBaz#(7^x`W^rQh1<4R zV~e@~N{QX09J`+UIG_Y+I`#ug44-F$_b09-OU*v@EM)@b!uL$HUltod_PR5V{I%1` zW&U~^71bYmt~mt9Cwej~d^g16_%v*n5M8R}?F(t>?(HSBaZ}~E&T64en~>1jZ|_X&QE}-@{-M5M(kNI+17&n z;*fGHo9Rj-s?6H8#S3o;Z1gcd&;%k%s0`lPR>IUX97gsEV%GZa2YMOxyQhb+2W7FI z>a;AFhSp8$Z=}`EK28|*eXm0b12QX0uBbQ0t0Wmx7%jN~1sz$W_=>TnEXRUmgVOKFA%bAfF&rlu%e-&w+93jO~r0tITY9PqlAX@S`rc7@Fmue43Bj_CO(bh&Bd_{dbtc(Y9WO-@XX~1rD z=d6S|wua`8&jveZU6wH%^(l_NDv6R!Y-T}?l%+`$x1-1NW+|G}jSb$cx0h}hDc6a` zl%~C?0{NWr8ip_*tcGX$2fy!;AQjS_O>#35NLJ%}e!97+J?#s$FNdwRX4|t7(Nmcf zO5HNl9SmI!Nd6z4O3&jy`q+NmEdZKgfBT@SZPY@knx>``-B(2q`2Dc1sR56c%GwB{ z0tGW_r2Hwh_x+rV+cX%5L_Rml*R|N(hkr8gTs=@Y^uV6~1PSL`+km&x()x+=+H~;T z@322|Xs>#EGnhm@B7KDLEDzmV*`+CHCudDIWH0UPMYLDD*A;{Zpvb4C0GSv;ds&)d zrS&?NLcRdmqx~=Lgd>~--Ok05dFE1p|FzOpG4G$3U84*RVOVTN+Q3#dWm|A-6YM?<5 z7^4jC#-x`HLN0(ag&+T1lS=T)l1EWL-4$A$!p{s6#JqRhnR8WDi-rWi_qKGz5`?sg2iB5%*0L8z7oir4?p$nM3)%@raB#)cGDc^k}_y zpEe~XQ>iydVUy{n$$EPLm73LlZMWp?8Xgf90a|5l0sEXBVxfxeWo8&{w*s>x=T0^h z|K#uDV;j5#s0+k`rEFQClO>L^>!R|?#6huWzSd0%8S@nKbSQI=$3DRIZ zICpGazujry65f0q0ou~d6hDBW5^;Z(6d>j%zq=pej;t-cFDkmhTtf+^%-&tC?RQv$ zOoEXaPsWdZPdz7-VYtr@!AM`LAXy^hXJ3$^(=?*+3ft-f1pyen|Jvh1YvWUBo9hh;l$$@+ks2?VPDv^`%0-a$w`Nngb zBUg%S{4#Od{T6!RZnv^O>veh|v{X;g4YBt9t>-71>iFb1?ePF6R@{~V8ybPFTJ92q zjJb)HkMI~+PIO$TechC~%@AIXB9!7u2de4xFPX_;;`IWJ)FF>bU?gGoPd5~bz?_6k zyQJy?|NmoWN(jSES%miX9H59Es)TEI_v$7GGdeAkj22&nIM0C5blEIJvTK<-M<9Lu zM&SYED49EH&4;&BhWU$g1H%39MF^=g$z+s~2#+G7bBI3rN52@sUmuz@ z5)@KJ6_(~;9j{-K-2%cf#gN_>7eHap>B)5l3__U3&e0)Ab4LkMF~upk2IUmZlfA3| z$1a7|1Yyn}Qdy1bR7mcrFBGdftSV}`fVb&f+?`wg!bOZ3xzn^y%|SHP>UAU~7bwmT zI3PexAM$FG)UQxZ?0TI&sZgO+ErDO>&D)#=vjPfcE08c~QTrB6VT>4`Dai4@*Hq!x zC&o0s2#Y~;lx(TouccMVSlkDF6jp)$^2ssvgL6kywsl#B=#I9J{;=PCm^Hv`#uYxW z&mA2(&kC6q+~qZ$Y76?XfEn47yO{EZ`^oFgNi}i8IdAkh6m6#xWyQQRL`G5KFiw0G z?#&>iPDAU$QPPI2+_Xhxpz|Z^@jm z>Y71H|2FR>9ZtoiyfiOw=kAqF>#MxFx4PpvENeQ^Y_XB_N<`cKAM^_^40?c(@#wq8V{WBxoFvZ4#oxluofC_~u->65 zYU3IK#YoAiB8;>HpkozMuAVIWNZPd;tBX)&MZUn!N%P^q9Ta_b2d7rnhV+;IJ~_BH zXlmn~O!g?qMnfFet_HrKpQUd28WMo)zE{RaN@H z+&{mj0~pwOx)PfPWI`$q&Wu1sCAsEqaf5R&{dawm`xW2g!TozY=C6FKLt@bfgRLnv zsJst?bTv}A1%jq~;+17X(Plo*ld;HPOtI)w4r3{sU&RP0rUkW{5}4{|0QXO2Cbn~# z9C6tgQ~J$)sa(V}O+m;?{81YiP8G&Nhz`pWOv&h+LyAHRO%tdOXNDl}lC9D>WDHNd z!vvYbiAp_DZV#Kl1pL`(3*M+2wzF?7x4#z(yI2iK@&^-_XOy?TQN9(Ov{CiCi8Dm{ z&025jAdf(G*mX-1YB)helpcVwM&&ay%KNvLYR06bgQe@B(ME#hSqE!MS-v`@jdBYlC&yk0oU?{9@x&&2O5Z9;o@V4IOWn(fi zxzLUeP8j4=W&aYErlGmeai_Q&czyzza_i=2JT1E+(YY!bRa@ygG`d!fE3yN3|1g%0 z;!?i6_qlNtBCBVWM_kW>>I+&gsrroKu9zf+A$Tvsa?nnvRGWEX`cCMa00HkF~|5oaNhdmj5m z_#7eRJ@zjHyf>PX&{dGd*>^p)nZ?Yk=%(hW;q_wAM#q{nm~* z`l`iAh9kwwHu7saFu{Z&59Ma__WW#2ay;9dcd1{{@{hV6p-xgY25WoE7aga6Q*ayy z(tW+Fy{sRs$n;p!ZH8&ef;+9OLQUWTcY}6mF@sO--#BD6=L8EqzY;g^>S(e^AJN)8 zGViEH>P-a)tjJ?N>&Ws{;Zlbml*aQGA0T+}lk?RoHN~3}^*`$(V`IhUAewY4N-K`Q zNb*F)9{~(IW>5C;&ekCW$>Mq$A{6JB+cB!tZml?VvCkViB};jM9wCO~!--zbFrXgEfT({DshSC(7;mab!K zXh?WRLOPYd(jpD_pwFpKmxclU=vEHZ zT%clJXy_!&B<aLamZVaqVxj z9>`f|f7$!jUsqz)SzoB}KU_`psxXzhsgh5?#s8b#`6Z;SN}BR`$fBR6q{qQ3QNdG4 z0NTUU19GI`v9@!OI8va{dD|%vvb`q7xaa1_vHkX#=HGxr(3A$`{j`6|N@H8w0G{BP z&W{M|ow`RH5-D(QYbewFT|e(CP_Q=F{6@RlkSg_FD>fO)W=`)>;ExPL{0gUmdj^^Q z+TBp)A5B>0vjKG09+UxmmCJiy5q)IJLNuznWUREH)C6zmew2GWv1!fIc z0mz^TT_F5vSU@+cBf?owi74P2>0)e%t}efk;5w=y4e9H#SOByB$JT&I-bev+{j@gk z^kXfRNI&GWo0CSTGCl(QmD%<`Yqm!I6?Guh zoqP~Ok0*6LY9l8j(OOV%`1t96H3}Q`rJN3lzL3tysahJG7)F1Ep>J`Gj7bTbpd#i2 zueWS4TS*;~oq>&iQtK9t#8$PiVP? zR5?Ljt@ky_LzRON*fp=Og`D@=if;BaN_E2MvJKEx zg&N315HDpqs3k5+%;x&MUrW5tyyjKti+hXaARS*;MNlRGS3qGY3!Z@?!GKzM0GV=J zE)ubwc0O~vmnEuGH6nL*1eTS}gdl=6ovKY87&BRuw=ehsgv>iZzr)t)W+nZh-D=Bb zPrLzhOyZo4pj}x9ZL?%l?tbVrRTN0weqMAwi$*Sa#4F~`7tAFuUkU0VR`$NC%*@YD zPit4)?d7P<2;s2$^Ey%-r)wc+^D>~+`}UaCo@Xb#h2%y333l=u3V6tG;wU4OTtSFj ztBr5V;6We82v4yext%zP=dkG$$?JpgihDQx;Q_RlXM%Q}u_Y(VRf$_JnkE&O;3?HFU&|+-||A1_W4feeB{(RvmW{O1`Ao4i5 znS0#2T|l4^?`u0Vxsq6??9++ZUavQE38x6B=lIg=UQ6e0MeyWXkN;1^m3!Tm&r7;_2fP)smkc+Ksk z>;k_=6UnT=W|u+G?PCUjd#{YHu8Ui^A&1;3yOl&^m2j8(f0LvJP%&}^BbC365{6vydz@1#E7;oR4TMZ&YT16{ z{2so#sv@}wnSZ15zO2iIAzd2#ucC$}dlS>)w*G++*Td^q?GIos=L~|a`a>j6mQ=1b z=xh(Lv!!o;_vBVru{@xEK1HT+8J6CGomY1UHN+uIDuZkA?nlS9$736w$NZs&(=g6J zYLZPn*F$_3S1e`*IkfAcJ}=m>H>&n?#MILIvB9mEz)8AhZdwox_NJIS!($ab3tAOn zn3G#%_BfFVYzj@uBkvAax2``4%sHBN2)hhOT9fF(Jy6Y#&O}4QuuKMsiQBAPPIW|( z@S6>G?ImdRpALxbhV?0gNh_Rdxpkkfyr|Q{W4gK#zAd|CClLV_`%)zO#&EgsD;6+B zuq1NO0Lr_WpbP15mb~!OkaCy_<&^`7@WK1Ki}}ReN3fjlF@-2+DA_FDm{~KOr)iu6P@d~& zXKp(OM(}x5W*g}}K@o~F=!&e%6vxAMh7THUgznXs+&KRAs3D2K!haPs06#UzS$jEa zaETCrv~#;Vq|45f`5*lgvyvQ1WgqK^NjmIV+^-HrCWOWX7{t0lrLuuIffO4@yn}=I zxkH8p^9@G3J&DM|lg_n?L(3=T_nX09DZA)ewTs3u-2D_iRUJD~OQU_J7z6i1b_1XM zSv>w1_cFIHJ^4kyxXZ?kxG*9VHYQQ}*95_W1k;9Ugen%&5cy`zNN%`Ji9t+%vo2c7 zkC-5kb^YQ4zcywKZj;uq9{95Wj&f`;|Ev?lb+j0-sGldQgJeAYXj*^PQhTP)O)NT< zpY}!L(rUu|pQQQJu|rsmQrLXRw1)iXG%1|RxiA0!isVx<;Gl#QG?le9O24z&j0KGXgjP5)Hu!QnHaj?hzeW$W)PIiS(->sZHGVxU?Y+&}&k8gqcJn9Fq+s zF=EiwrRcuB2os`W7oAqDWhq9pz*L(ua*k{alpUIm8{mBW&Pb+fA{08a@!@fs(ICZu zn~_DL4dqMwB@A&M3j9OACCZn1S0~|pgzD_~&5vb8{pN{M2FP{7;9cwXA);Sb6KU!F zMeM(Iq)_C0N4w!?3EY!SLc=%iOVJ3%Tje*0W^OUNleqU5mrrXz2XfTnNC12FJee(Wcjl zrQcKW!^z<=vej8P+kNMONns}Yho&gTwgX2Ac{v?o&Uv2PAu~E=%VL6cg7DCMDRn@F ztA}#gB(Wz7f?o7aTUVVE*Vy)-B*yRik>$pIcBO{y~S19>;IN+ga`1G1c_nZ}6?G&yMVO+IZ)Kxjx50Rm%dO4@w7(6S8RN z^{GkxG>?$)Ab(m5PH{6?$o@f+XJ4fcLB6}J9&Mw-@d`2aKxq^vmh9LR#QH%x{I@!- z_Fe&199QBH3-xu>07#$6e2za!5;Lnjd9p1xd!j>m9%o#J{NsNq>I|2k3+L{w-8^aw z&W;jL-ODWdV{p)TRQ<;8aBkPcIl>Pek1HzzMYb7O;`v@}D%hED)cDeC*aR&>UVqN` zTBt3<3ctDoU*xmsL#v94!s`i}dg#Eo@ZMWbbvojMm-muo}0j>OJo@mmgc-*FRLj z-Xf|)X?uJ%z~nM+4H9-zIetv1U8e{~?m@KnjaZ;6$cdusc~Z0!rs*Gg*|a}|WR^Y^ z-Io6_lHr_Z$PwV>a%WDoytY<&rRLVhrVVvHlMWswp#HZr~-LN`-A4Ens zytGAmRajV1o7sY8iCI% zjUkz9*)DQhMhIvaVUaM9(u{NEKmXY#N6UYsVDc)tIW&5V>C!f*; z24t@!Um~|~0u&vcuHxhKWK9Pp7VJ?sf=-zK9hDm*Uy&>9pUFJUHl+j8TV0fJ8t9&` zQRkZvbJ^lF#b}XRX5KpF9=n_C?v__EGnr6GH5JN4&C^p0I=`>z@;}h8Xsun2oaVBt z2I@_$G9^rMMptPN0p3)dNCOplJEm0U~iPUX#$^F$c01uQeA!mYx>?%&nc|i znsoYHO1{%A43eVx0~xS8@iQX4d@WePJ=%qNE{de}*Rzs#biv{KxK6=FI((Gb)g^=~ z%pw(~bm{BNxtey3$m}Q^%aBOJGvdYH2Hy`G5g&8aelh$h>E;*)nBZ@++~=_tyO#;0 zfw&a4_k9>)X@ejHm(O0GsaXbVEc`SnW|@AiVQ-yk%Dw+ziWx=_7>-nPAJugocPIY_ zBvx3)Al{V=x+y|yxj2cNUh}>(vEE_?DX9*}|Hx1%OS^uZ5HSm~Rl&*Jz!Wl9ny69Y zC$W?ljydo8=4+)wF3-C2g5Zk^2sjˮ?8NEv<4pd8by5lL7c3ZG4(l*=bD+V*@h z!T*2464_Y<;}k(U&!DOiQ_A2fV|NR|7?=J$U-@Mx5N5AqvPNBYqCug)S3LJ&?5Tg63KsQ48EG9iyc-8#cxoMI`T+{F&s zt&noad9$1N_oH%cJHo|2&_jdSi=3S4{VV@Vn4SC%n*gM&C!{Hr8ghJfqaPukxqfav z$-Z6Edop}MX5gyzscgi4UBcz$o+oNc>S>LXvt!g;B|&};#82jh zX`LIXY{mSc`Oj<1zD&ITP*ox2sCNdthLIVgqn-#}J|cj+VBml6iE)@A8aw_s4U ziBTzpmht_W!|d#F2u@MFU3jA2kwp|T9l!H7Vt~@U4INM`SRYXDae7JvY;O&HZAy`q z)&>A^6t7sb&04;z8Pf(iFCuYRDL#3}R_A~1LUYsnOx^G}xtvfIhX~^q^TS;iLRrx6 zVB?;%hGKLmU~sqvW*1W?W_Kqj6k>?;!f^HQiF?aMOSSvto*KV?e3rFZ6mp|I{?sQK zFZHgDMy}^Cchrg#_rJY5ChtRH!^v z3n;PmB6k{iJ>#}An0v>p_--A6YUWtbvt^k$*V=^et%`!4LN@{XMPNWtb?0TN4Lb>* zV;HFH*TGG3_y^@+eN6T^m0K<#SN^J}I-H>0hDqgKU6c@?@_3>?Q9L^0;41K=n_CwW z=YcJj$iZYnUVcs~PVzK2iXAmsUDX9Q!D~5_;M6RPW#ycH#?e-M5+fSO%3M==< z{3I$apJhYG=zcWj1-qS!Ow(ih67lt69o})7IZJrDu0QQA_@JG?Y$_jFvc}Nfj2uH= zRa#5O2q&E8zivN@F0Xm_$PcyK~_5z@>|yG4d*-=7W#;cx7Oo9 z1JKo~M1oRnB*}K#Q|jx2#XG!v2HdB2iH}{9^5A&yk(GEc?GNVfq!faE#*$8)!T_A@ z)Uz>|dXcb+z`xfSj&&Q}R>EWHHD$_&I9c>gSD(TT5*Gq%X4v>sx&q34z}@<}Mz`y(nBF7Xx!>=e#w6 zwp4II?iNoFSg`GXP=!B8$VA(>u6z)Aj%h2~oL%Cqj@jf%I||iaiJBAsE*xGF*XnTA zUdb@=XE#&&f#|a#-*A{l3jgo5epeTv7+)>u`gq_9b>4c?2{+Fji zoYw*hS==tb;0Ld;r=$-}?4>5{9mk|~8UhrOAt=0+eTi10V{HeI6T`aT2`M@&;%87v z2y;s0CCl2x_S7ABzFj5vOxaD$%Y{cVY(1s+E1Iob@|gU{LR}s_-Eaevi4ASG;3WJR zCcOCIHjzpfP{88gzw@5z5F{jy=|7&EMYq!Vy(XXm%LY=zL)qjNfA*k8$Ia~$PJ7w| zFq_-TRRaxEb-BwTH#fqt23}bw&AFdy7sE2Y*pwQ&e{l?3mw@wWi4o2=M|OM5zvE|P z$J$h)m=2ui%DPlhF^Yz5+-EnaG4G^Cybf_Oyls^?u5pEQ zh#NB~y%yb^n$$0$odZg4Kmq*b+w@EKVCywbF6XLIKZlc|cttejJkDDo4@^>zD|Uhn zwo)(xb^pVoi;2-Xke}H-{C0V-%w7fSH!d{8+o8swQ-C#3N4WUZcyR`T(j}~6THmC? z7|W%sh0=y#|HIESYybcZ{HpReYXJb(aNsVJ%K>hH(K6PVt5@N(GqW_CKZ7 zbsr1etq-gYC-w9eq#vQ+FSmL-Aa`5M)p4Gfq zS1~jv=~H|=_891_8Ur(*=yF&Om>gJEBj-&ce`d1wb*%060Fz=S)e~j*Dug9HUSaY4 zpOF@=ETBCtfSvU^jMPODHoag!quG-q%g}g5QV|UO1Tc1J#@yCPoc(nK*T%r~d z{}yft(g{TrhUpQ)6;j7_qGdHh^!!LdMIjB_yXGQcvD!%+5%LX zVIJjjFu1LPGu{8vxs9Oe;*5 z<*&FU@_JtP06%?GrSMCatAl#OcW`Yx+gp;VFoQ10u_}G!uX`-XP6B-Da#CkG(&d`# zq4{@vaB|I=*Vi`5j$ zO+ea?ROyPF*DF0xhOZN5%I6IRylz}Lj*=<2ipTTiB^D#=@;V?q9x+@e-eJ5J#Q2M> z>q&OCsX`5kp;F>Ppc!DZLc3IMmxZ=tUuHH6UM_Tlw-^aP-)WRtvJo>E)4E$309%+sJKUJDBld`vF z0_estlKDFGwhpk7wB};2kJSXC(KLe0WE74>377*{zNf*bAnrmEt<{@)PPbwQXG!tl zSB{HHN=45#IptsD8EluuPvjmaZYAltl3}?r5zvQ=k9m{?no19Zw7EU!bJZB0>Ri>f zZ1@K>%RYY>Io9%5NgZnodk-(aom6Sjp5Ji~sfSpB%SUVvE)$m!S85XsK+V-IU(_MC+@lED)vT026v4v!5QK!$MN3)s z>7U<$8->G|jy}=a6sPU4m8&xYJSYz~y9FqV*?U7KO{eYXv;|mI)dEp6aI@qSbM6w5 zv}ZwOQVfZVS}#5u9;^?3PXTFC=IH#(vOC|kwT*3k{WSi;cZFkmHPdyl>^;7n#6!pu@D_^0p zK>3iqDTeN;PfO!)iiVyKA_frz5n+UJ{QKF7vO}WWl6*v>b57x^40~XbC(;MZ22S#s zeU2#k_kUiUT@krpjkDtyVk>Bv05~?gmuQ@chJJ$Zw5#xywCwC^LVmc;ZcS}whSAZ< zzJBZWqhOG8u<*=%JvQyP#Ymd{wE~4`gSugiwc_!hG6@eZSpbBWs@o=|6|Q^akA67| zMIo=hSsP~kM)lBkMwROt2*D7NKAC8UU!?tA%3sCrVJ0(zu8oV^3>9XVkQS8e?@bf; zg#-5x!O7ANHZbd^6BLK4L6rdzxBb!pAvLPN<_s}p4yVVyM8aA;uJdzR+HV@iLsv99 zR+x~^3%>YZhzdM&#|@rQe&8=IH+E)eq+)oT94ES( zOFPriKknzN5iKZKOs%7=U4Y%PTG5@l`ej(^JzU;F#hAlBiLFgyVh;}XbzjF0)s&_) z3!Qxmcfvxr-~Kep(*~@1GiW|3ng;(W`kq}3-hXummI`anVHmvkCd_kr8_-W;yW@Aq zv66vEhh8qTZ>}+oyd9RS0J^AYol}AiU0u?dlEo9b;i;^6lEQ^WlS_F=l*|2$!{{W; zPkk6$;J_rXE>(6W=-%n;;_uT#6o?nNO_a( z(Y6e`*9N~|=x z9K>JX{174H5zUxPi^-T3`?cyhdY8|IeE?gbIi>s0ZIYv+HFs|bnYTsRwnE-(%VBav zjr0H9Z&JB5^9DgtbTqRjezKItr~{q1UQ8OBLLS~>hdPDm)%>|Bp1pKFI<49eu+XVM zXEnbNU2*D|%sQ@|a{uWi1vL!@DiKW(FOV%ZKj8-y!AX}obeUQ`8%E?7VUupDryV&h zH+*&R)pj&*jP*l7IS8Ijz|T+AXM%h(uFEoLZtN$v)eS8)c7tZFsyYp|h&yoO5duni zHx)`d#18P1TCmeI6hj=0%8!U6`O0{VL6}?O6>Jn8&<(BDA*6h}1YOky4HFSzQ^s3} z-E~#6bO3S6V;KiAFGt1RJ#*>js=Y+Wka8$*o88+K`G~)TR@HCehVF8~G{bS>8E#(X zLNoMg=|qBpidGHoivbye!Lv`vVFV1OM}+dx_FoMcPh}USN9Krn>{}#3_6t3U(iqc0 zG8U#=I9hikwOUGXYK~(O+KaMoXr>82i|J95uL@ZE(%FI;W6}9pX&Fj$u(=kz*|?=k z(_F*NYGh?eWW2U+lg6VCs<^n~M#Z+OsJ`f&10`((pDZ=Z2@B@EYK2CAyb_^VzDz9s zrh)*3&MyJ^$QAg-2f29K5R6qDR?)WdIp-O;fITkh-Xqry!sQxZxpL&YEj*t{ICMsN z{A8xK-ZlQ{9MOQDZ`xMQ3Fu%G^!arY;???0v_8Gv8;Kdf&N=6TsRDQYPN@lcs0Wo6W%nsWO3TA3)@}69VKAjezy(rU_3y<{Go8!K1veX@X4)PqD(>h-*Osp^!C z(N<0<0ZEp7dQR*cN&_S;wNsa&)}!V`Lkis&MYtlx!zE5d`|71>n8F;_nJr-K>HN4t z5mJ?x)7VXhY7_g!8G!k0Lz`zFq69L9CwwA6|S>eBYB~N>)W-e51YG?;yE^nX* zA6irK@SEFjF>7mtsfL$D|9`9c@NIQGB-lv}qFIk<`uoJ_cWUN|JB8D+ZhBV|IpZ%P z_tR@fTYNQRXFei(rgJm}QSaaz`w|Ei6XE8UM4Fmd;1j+^gH~NdF4=LcfN=^oJHrxJ zP7oc)P}frBGPv~1*qgP^B^c=1?N;=0LexL`;We}$6nzlEj^gs=H2}EWu)oL60xqr9 zP1ZG6Q1{LZ#N317>Z@)d$*9fDx323)g=J-SJV&o0!P|14s^ zYYg^9cIHBS4J|Duu3}Kn{})(Gh&g0ry+)YBVF8^NMruy<{MbeX{s6j>V*jge(jbft zxf^c(O1QZ1FPeh@O@dTASSP!oCRPLFXbIFHyCpYGItEgROoUvUw=-naJQ@Z5QszG4 zOcjI_nYwyeKYDk}|KX(nhi4?42tnCL&F@_Tqdy)`QrW8vuxd{g%ccASiKN>1$-JRk zUf7@ZKgSkB0bEIgLte9HQ|WTuyi@Wf&AsP@O8n(&!>A5a)a(9q^%r5ZR49{ z01J9(IF>zt+aKBPCDs8{#UF-0oJmR9ivfi6t;>JUou$AJLc2R$whJf`^^tFY_a_&nB;S|&0;q(=xjepC31Ny=BkdbkC86PJf1wRXhV^Fy|di`ST_yB*~kNlM|>)s^VvN&b^Dr286uVBWjK*+O0rI6)4WQEgR)pcfB4k zY0*J6Bv^4Sn-QC|3yWq%7UJvLqfMsScZN+_AwKvz)2PLp0?mJ6bKiMOOXh~r%Z3kC z3YejgbqT!~_Wu-ch;rpjky!TiS|j+r)K=>;iZ!qw+BWTessC3>z--C*fLBjBJM3kD z8wpx(z28AFJUZ*y|L)ZM@-id>_rNy)WxNi;wD)50-a#%EEvGyfN%{^r@JT*GOs6nv znWhg+9YbKsOD<34S-j4?ly^~8&zZGrsY6$p|BqfC)co)V%y2RYJ1T!8@&XNlr=aj z+D5ITch?`MW7pcj?Yvkb%~w@9(c@$Be{P<%GO1%~Bm6!u{z!`LFU7?T-w^#(HdYjN zf7y&WkMcJ5AR!7~0wAZO`Uh^+o^~faIbk)Cca(3#^%n1bY$vy zSFdCNl--c4XZ)&|)vH&UH?dSkAZe7Z*a9x?xjI57uakRshiJ*H=Gv&nbFC`eATChy zzyTVaH$I@2N%{v`wZRb-w{Dd+>H9S8>ExW~9MnWv?^k5s zHN@vs?e4y9ZWQ&%$Tjd`Ur0NEO0f@}6F_>5g({tXcomLH2PKR8Yg9a8itw_lNoUs@ zaYK^Zv&7*1N7IYQp{)#kO~^buvrkR)Khi0463RvlNM)y!+_~`j&Ns^92h<{m`}rpx zrz~AY!T`l#B70M_s^=w<^rGFVnup_(*PE@?gf#uz7j@LuHhN7X!F)(DhyR7Bl-s6w z*Bt67s?0#i?vpQxGzwD6$i_bMTY4Xg-~k~;79oNt{WvV=NA#VZf}|4P>2-e8s;#=H z8Q=ckhjRrK3Ri5rN4`5eu!)g_vRJ*(-rG^9|4x`YXj^Xh@Yak*aKwZ5er8J10LS__ zsP)icp*%X@qNmL=8S~H`Z2jKcKffAV-G|2~T#llo-DHHR_KTiqZ)$+Iid)MMM$w4y znBBC@DN$wkMo>l6-ein+!h^Q;41oW%Y{vl`H*d3o;3!uo+mlzZ9difgD{; zym(P(cVhO_QPI8p1AGI@W(?$~;FyVDAZ`}#S~4fJLtPV;i&Gh9!p^ko)KKG`IRXZ| z*}ak$k&t)@bK}o$ImbxfQBWQpw1hpk-cRA-#1hOSB~l1-d@(c)R(Kv!X04_8+ousQ zadt|9B99HsS?5?#VP`?p&Bm$oJAiZaY#aNNdfu!g8_|x63SI#y1SWv_!9FjJG2RyH zlrJ^C^Dc6WH`K03$gdrs{P-6VB4ebWoYjE&GAmbgGDxm@MMj$w!GkU)=1@FB@h7m} z*Y1xF?FMrd(eW7o14916+Rbm9o;jhz_;9zIWKL9DUJu9>;d##>UYTj7Pmh1>F&6-n z`Tc*%5We2fqCj*}o*1%&@D|UI6)EmUrq;&HupDZ)Jt8Zpu{i)S3Vtgp6Mnp*W?4*Si0-}(j{dI*s^0N*yb&_W0 zc?RpG==~nUyt!(K^-#X)T7s74j>m|>?~N-C{%{)4#RXW-zF1gZL*B4-7k3SYH>R;? z%J!4+&!i2x5SumnFe&S)O_HjkQ+ucIt*w`eviT{NYLkk<`VkXUE8h!H``z%GTYPiR89;*MIL>3BR}cYXHdj0w(rqL$SNI=zv^~Z=ib&Jh zANfcRq*H*6kd|pXpN6`C`nUQhWKuY$2q>)Vq2a>(#9M;4Q=wVWbA+%+!KyX0zTDJ} zWJ9~^m3grboU1i+mJzRrA^tQWn%t~jRw{=%aS{ld=9(u|QlpfZ`-k_~=ZTj(rwYPWkKe#9!`3WrEkB~E~B&CitfpVZ~ zJ+&YCw<-y`P7-O~KPWPfybQXD^HB{;?U*rsKQ<>$?P{+Ho{;WOw_8RdbvE?~6bMUcb?S z@K#+(Fkpcka7h%VI>)1;lk(9PEaXDHJ(U5SZ0DP09`yjE>?t0Wj6x&E0%ieCHHCd1 zU0cT$Q+k*V{X05I8e+=E@Cn;Z68P`u)IG7fz>|75^s+w=4y>$?W60CzKejmHf_U-E z3?2jygn?vXj8_eAd9Y#QznU^W#ba@d6%y`e_Eq-6}yIZbv|$5F2^W9y~s(pyyjUOzf70CU!yp12!~m6uw5+P;w%MAe#N zt;Jx{(LzKfATlSJgeR^2P-qAa;nf7UeGUQpD0&Tz{e@N0A?WmYf%3e8Src#S_VtMSw|_u}{OZ7yNn;*+ z+(kXJsLs_K9LzthKicG37Ud_2mYgh6FY8?@LV8(--!Ys!1O=m<9diaXj5c20hd?(Z z0s>zBmH(wpiPOE~e9KQDDur0tJ#C5%7+$l%kCFsJL{t0C`Q}ErW&4(!$jv_6dV98N zCmE7jR7{3KqD@Nw0zE@>DrF|OV(wiKvZLfvkCi*6G{pz0K3Y?*!;5x@(3L0v!xVG# z%lMiGR@pBS>Y%o(8Z;lef}P`4`m^1nH5*OT!$$6FW=j0btzblpz&hUsvZ>z+q`&xr zCQql{GaOH#ZD|@B9jW3jKkdL;u@g*|^j3vfF#_bG;@hKmzKVm&GIsoGIW-5TGppLa z^3A!~&a32`jNl~dsC$Wz1Aqtq2K`78#LLHX zZtaf`sND*@NVDaipojGq;y_;V+wE4rAU=|7OdCZ_OltaNEzm!nwO+>>_Tz;b;#P}; zFVx2^euD)ZF$WsCMZi z`Zsf18g_m5IfNjP?@J6>PsbjsmQWP>eGL+B$1_Fje{4p-m8E1U@znSYZIQ7UP;p&!cutbcM zhf@8V2Dye4o!6P&r}c!uC$}{xH$X8uj-bUvy@0J^#Zoh}b}`kZ9AI=M$5e*G-T#YD1CXg{4y|(~SN|4keJ^HO zR3!xL4*ItfvPQuO8{brW4}J{x&NyyV z0Y!kR;0&FV{xZ6a`Q}~oTYDKMW!(G2W&b>k&m;TU3|c%8mR|=bo}Soo^>x(Eh>(g9 zehd*3rti&#oA0pX2sh|ohdtK(3l<^E*|Ew=d$H0EEQS?(rg3?S420moN6fe8tO8am zkyOwXFd8D?W?~E^6MiHlG*W%Zn=>aqG6qCP@KvU!H)}9- zLtr&qpgl-|hHDM#XaJ};muuf*3#e2$ZLfWEydC`IEuBv+E~vMP>JZNfsdFns=t`3( z{@(eje%fj)Z6bv~|KPZeZrLs4OoX;c(a%?$`dFd@Z`52tiHlXDff&E{bSeFmnFmSR z&2))Miv%~jRuNB=5r^*l`4_J(eVx>^Z%~~9Sr{BBU*G@+-P>RozLy=4z_`M!lt7J<89sw#KZptJ(j+jbZx;)>q zU>DD3xbP~IxLbE*^Q`+M|BF40&RAeEq2gr3RV6;%buhWt3fE#D)9;$z9xQZW27!9d z5CEbE+gVsb&vB(&Q663Ex%-`1Bg&oz5zIix=)3^;1ajjkb- z==EM1E884sG0N7mK`Z*y*6}D^TX{0k1uEz|NQ^chn4N*&yyjsaN@eXJqUtl~RihDv2QNB zMOBN^5x+8t6Dw*TvM}<~>N>=l;AnEjAijnu=2ywX1rxU7bq+SySermZy8Hrcq@WR} z8y_zwaXZaKUFO!S52-KMst$W)4uWbqd=5qhN@`X}w~{OqnWMXc>V6w+Neezmz3PuY zv(!sCH_j~0NU}UF_OZ>3g@zk$;2?ttLDuxps%ed;+=qO-2PKAM%Q;2iBfvc^A(JbE zHpi(!8=b9p3^-XZJ#ASqY)MAJ(ctIqU}Ah0By==r!7IR5se+0)_pZqy0eQw+uY&>! z2FzWKCe*@5f{sBf$Oi5C+Z*NKp{p}-wWz+YiVcxm7p-1=FfxFe6_Dc0e55^@riiWM z@t)_pSM=G1shvvUFl_ji-_FkRoPJtT_0G1N*Tnv5kKOte;X|2Mt9qk!bAMcYzf>T5 zLBxx|mG#-Ks;l^YdqCTu?$leq6W&$v*nN3m?c%4~xD&CLYvl&F;@hKi#S|v zrUAFg=fERVC-^vfh03~Sk69iI<}OAC1+M3?ZRD-3N2^~;WPUd%1_BPY%MoD#9bQo} zAn4@RvguGX&v*1q7Ftd8kr+*FmwducNcq0S$bh!OZ7%#Bfp4DYH8bu zPo)RRXZDyXHmw`-h=x|Tpfgo%jUq+irBv*jY+0&Rg{bLg?Ot(O`4R}2#-b_BT?`(Z zT3#gwp@7jfQCJ1)SDYj2MxYcybB$&zQxJkrwZAZ3fVvMKtH8HmU717QMsJ_+MYL%` zIPGbX60s`4hX?QR_CDoyvfz0wp)ivW_<3jv_h(5J1($0&}=E{cEf)bSs}VaC_yF%M#*ZI91q zbPkDBVfa_+#DZLni~^MZs3AYh;9y<&8Fa$(TK(Fr4SX-NB@7g**lz1O!7wg_f+Fb^ z!HGcHgqJAl``tka%OA5YGUptXWlf>qy>ljjECj3Qm5KnL_;4`S|gb8WQX6{gcg38j9R~ z5+(S(=HLPPB3rbt$;+p`BcPF!EOR4~_*%D5@_4U#&OY%Hw8<=tga&Okigsn!D{|9v zvl_o7gOYayU));OYyp{oviq!0^PezU_#7lsdBh*Y+;34dF?UMO!-bw~abHq!lJJW( z`9}R9x~6?%=G!8dQX*X-kXE#7*OUZ7JP!!=!JO^B%tC2W{Gict-{?nC2R*U(Vlo5(_I>sw{_W` zdbcelfcBcADIunS+lX#(h60#rP*W#KmR)nOELdv?m7T|Z*d`wBlXtgY+%6$#(Pm52 z)fIzK0vA)kfl)eIWojKd(6=zF>_I)V)jPH;W6;a|KHBjh?A1dDQKXaL6iI3_`p3n4 z6W(0e9?E_L7JG}fP0~_2G1X0}@dSQ^KUWEy8r(d(KCB*t&9VgqNj4uB9|p^1q=Fhz ztdiyy90=7JQ!cu0>4i<(}Pqiy(SQRoRi=NGK>tzm3YrF2}yT`f4I&<&0FPQ&ty>;&t z&1n1v|7y13zUzJ}&8HSoSHC;?SYP7meA84EN%rvg90f* z{49&Wy;jS_W23=(c1^lrfcr(j1OUe6t0ba$^tqclPnqTg*l@$uMy=0Sx<(lUijSf< z3=pUyi24tlp>;!0kzhA)AbtVh&4L$2?hFd)H5gq*8z=?q-6n*|?^>>(zX7v$4lke; zc^f!1X`xy1?+l;oS6Vq|5_g@DNL?HEn8e<+q(wu9_V(nvWp800at4 zVewi_?Xg5>`|sU3_Az6>=!FSJgx}QAw$!7+b{F*0P`T&qm8#ekv3DJJ>}+`#PBkKm z_*a0FgZy?pP>?XQfcO!}2SO0uYretG4*7qwq|Lu46gvG)X;DD9SCrijB`6XrbED?O z>e6q>G2SM31e7B6jK9e}NTM6s=ds?eJQ|7m_s`t7&(W&I$0V_*3W*_Ki-=8QqDTfP z0GVJ$iU3%BuTe)2QB_8Nlg-Yi2I`v;DK)lujZD~sKMJc;w1A?UcdhX~reYI7to}wk zx?hQDeHLmlJCR=`A|tgE&Q4nqI77udFg2kKQhj#0J-T|f+h5wdAWPRuqP zc6A~N!sfHNx_X+SV036^=m;MhTCU&`e=BhM?!VyoQr9V5&OsS5d(rjg9CxKdqan1A zk1BTL*o{hg#6B+)M81I2Y`5f3eet91-x>rDg^tc>kw=?0TP85v z!m|rQm({sx!c`>Oi+!Q@DXnn{J5UY3D`h3e(ES z1KxjLJ?wCxLkns8>uyUYW{LI9i5>}r^#H^d5TM!@-hnM=Ii!;gZk5eoGJ>#}yI$fQ zF$w-DRc(yi&XN6Yxi&wN9b-GsW77J6X=$IX=4A-MN~UiuY|J{+;mmzI7S+!U^AxRs z`q#e_Lfz0Eev2Kj`I31l%bG2rJVu~-i1&gWhcOc`@=%uzeg$af% zQ#X$wOSwfk4JNe{z-wdc(NdXq=O_IQQ9_o9s85jPF@J@ZaXWQeU;UT<^Mtngi(zqp zhFA4S+`wHp=&uw>X~)@I3!x-5T-hOP5XO6*D&X0^!k^d3U&8uSO>mx0-fmT0C5L`7 zzt)dfLW@^Hv_HkC!IQIBAF2E+0MuG}6T+0xv`V>1$p)ABweGFQ^DA_15NCtncX=!jEq zK15#1n{_w_%fG6LyTbIUdpsPg+EQUJZU#Z|`pQT~H0WQOOL;)cK~Aq5?8*#JLU=|? zG5W1i2D&4x@K7gN?P|)npP5@~x_k3wxBk!xImNMlwE`KXCZ!bn-b)287T*3%+G37H zRVTogf#s>4&kE^xU1pRwgwe<6Wz+p~#xG$B|lMbxJs7T-ZI!6C4(Rzu=u*V z15`lMZ5fE}D8*vx1~7*LoYAfNqHyIk)1G^LZAEq8`XUVZMOJ1`bJ& zu7!N$m1pUPsE9<+@Z@s8vd&)HNs$dRDZfDN=V}eO`^OYOQGYq+eBFN5mk%{oh3oAl z1wYU;+wM!3A(6t)TyMxRl93@)!oZ+?yb-82zoQcbpQS4R>Tc(EeS}T$@wZ~m^&4gM zFD96Wp3KWFrY1vRku06%T4L9|>9RuHfw^I6Y@td1(1LC!HpanTu0ERv8*end7$hEE z3mSeftt-2KdJb#}+EcJ8S`KZ}R){lTd+c2z>K)zFAfJ97&wtJ9PFc%UPCVEiBk~zQ z60!FNa9qs=spG8xD?rr0c6^b$tLX6_`Jcha*jG5a5;g@BAafY83(J%?Lb&@GeJ~dr zBrJZ>V7iQLLA6cssAj-`!CM)TPhzdBH+UJ?(>33zM@C_TYE(F&tdpg3%dX@@H2DzJ zqr0(gW4jj4qsI*RLkwDl|9JWllfEo+qXbIm!QrZYvYU-_UT+hDA94`>7(8HEuzf(MX{Sq z;GWv@nAZ+Rc5Aj91mZggH+oZtTs9W_O_&_qyg{BVLx@4^as1-xlJ2Z#nFwW4m+r{E zGByd-8hez^e`YBau}EA{iS9t&xHlR$+s9B?32Vnx&yj)(!6iquilbow z@LRC8;n>h#Uj(e6H=VaFsQNFO}93as9-fn?7$4FKRJ zxN|25_sSuF1M#@Lw*^{)J=3;}wtp=5ziuIe0tN9oG89$`+xUN9Tc!am#98(u6qKH| zhP;TS{R?-o=di`F{_?42gc(BXGSLK#7#`bbSjSLS{m?mfm#!e0w9Jq^($VrtgjUnO zW&#gWlL-e6(Ryx`;9}Y1o z>$x_eJj0#^nRUQU0-*$?0yClmufkec{2F-DWqD$7*pKKqOFc6fCTC3xA&}G;wUc$7 zvUb`^j!3fH7C||Eu?gAx6l2C;$!#);@~Y$}x(z!QK3!RRwg@Gb?kaixB7*@23U*OE z(EnRsC=Hy4_PM*j?xMJuWP~ika~CF~QjF+G307JkdUNb%3{r8hOsEvbgQKXFc0fV0 zwn)J_K=)aH-$shKc!$qaHvpM6>vcg03|$Z%^D|}hkuz#PF34n%5QWV%cU1GDgv6bX zf7Q6FC|9oQY!?u%Hruqo5eYk%2IbQf>4)35#Q+bij%)j{Qz(AV2@n@tZIDv&+$GH* zxis!4v+M-f$YO4Dby8UgrMVlt3vFuLq3{OMVb@6`2cxN*wZi|q85WIz23+3O^#>~C z@~nPWMU4KL+auz6p)#EW`G0EbY0^V|(&d@Pb~^GFTsvWeL(@ncWx4xfsuG>FTvd(L zg*>8_8dgmAkAu=K)Y5IUrdk7?O;nPyjo0GYVcQCw9u9 zOg5X?uoEcu%-Cr64sWJCcPd*AU|PG zX7o{N4+0)ZS=i=;t7JW(w*~8LNF|FIFX2t7I}HCM&rS5@f z1Wk&TJZW@MmzkyK%Y!QBKr#bNy4k*%fi&nA zXN)HREeW@Y@L|nfVg~w6-kb6`!)DaX4KR;GpHVI#iL>=AkiQEE5#7{!Dq&)_5H=ab z+=7);ZSwiUP zYo{H%^SUf%OsLxO9F08DZ*Sx^O^cbe;X9&$Re&*A4wg0|)75=ec7KE5WMQeTo~GQO z`qx`DwlWZ}8G2yeT^i1&>MV%=pJ^=#0pFQz-xbYheo1A}=Q*SpNeEw{aYH2&yWu0; zrJBF7vNXAqm-okOljBHrxZZPgUO;ByNG=2Fw1XG0GVx=ep2B~4#u3L9p|Z7G8e<6^ zP2^eZvcNSUHe#QzZ*Bh@mu<{NZs$$xqQA^-hn5$t+vBeX;5XTo0kJ%uBmgnvKA;a< zdtZra+VPe%l*DQ6pP)M;1y-GYudi52lkvZb;*53QLEB`_>@&ILcP^p{W&pgRCm~wx zQn+K`cot>wEL??O8&x16fXlsOIl$YZ(|X(#%l4(GHyX?Vqis)guPedWra2Zt9~y=Xflp-T@a5-OU2i9 zoAOXxkmiv7U{d{a-e?U-( z6UcSxL{cdtH#Amz0kEcZb~lWo;O{k=l;6{3`|#o~&cFz|jAf#lONGk2pN%)|@Rb)- z6|wrH(c*N`@{NaYoL1Cd%8#(}kIn}EUrGNu9!d`)J!lG$6ndplqYX*c=&&X9Uv7=m z$9&TVXj*yOYC~HK@%>vD`4Og{&p1hsdw)-K&CsH~No`!>y}?%CYM@u+B<~4&sf_fy zUfksPfn+K)gYaW5b6`6)gKdZE7O6Dmt}Zr#rDmAo(s`NVQv!iNkcbkx;TS9ZUr#GW+LdjXc%eDO*xWtNw7nH)Mli(0)V3goYCmXTiy>XAVOM4>$})fBlgnE_XDxHb=}k z((qxWhsBAFUyNdu-KPLQeBp)sg_8o0q(pL?`piQ$uS03_oltWlYHQPy_%a{9cXcNK z6OB6bZRcE{}h2^7b_{QV@QS# z3K7>vj~4NPV_>)t;f@ph*$}(frSH1kzg);bR{|b|9I{PZ?1T;K%%SYB2~53KNMb`! zsJiSy3>-B4+tB_v7)Ei^j!SQZ!0(`$X2=qF1`+s4^uu9V3b7<9dyDz<**EJx-0j_V zyWAk8`yIZ#+ z#8`IbtmL*=gSv_*9kvu-yOgE0E7iQ*ttxnoX(R=qeI_mHS{Fl*VN+rb(Jc zc{sk#IJ;Rs`1*S>Hk%j#Idm|$$o6d!+i09fMuxstyz3KF8c~RI@E)kXQFZDw3r`wt zD$3P1h^s5@I`!HJoVE!dqo)ssXKWy_65XO(FHvBn4Wf7wBEbweF54{Xhw!{O`f+@=q||M1lZZ<)JCy_e2&`}5PaV0r;jWq?ru?F{M>_sXhnsu)aI4Uk`ShR z|9OK2F>ty;Bj!R(j!lK7&chBC%dyP@6jU=lUY+N5C+bpZ&k_4@B?}`CuW6ak6p&+C zl$so}1KWrPA2p;5pxRk4wkKBz5k_ZAa&{0PnLw1>KrVwHMA}9=T^W{9V1Yu^ar>BG z1PO|DymA{MN2-Ob;xd-WL>FdCm9b6ill!%qCUcgllNnsNW}pnrndp1Hn8cIIaK<|C z9bb+b=TsXmMi}*x{kAgQw6Har%$J`7k74%5LrRbu*}R|u`}8yfQ4Zg*SH*|tnSQ-+ z)&kd_C9=horZb9bf8v%Db9SeMIu<~?OqVGzGg5@EC-TlRFHrf%5`8R?=Z1w7J6=f6 zHz?a*P=4mR#tHkCvQvoS6r(~%&lImtQexK z%}e^i?bVDO3e0M5Wuq?Ar%ZuT%}eECls5uTcT5z2aF)@0$*`NR#4>ZX0YPj#J5HDO zJCa`vOe*Z~=1I9xx$uQ@e^<_NW$(jf2@+-WV7zE^hB3Jth^M&DCYjKH9m|V39xD;W z4QsKx^EeE6o_%wWl{0&^NRssPDm)2p1_3vlDM<2jx4@)>&y5MNgfF(%c78{hpm_ps zhRe3c|3CYeFsKq3ee2W;p0!-8o*MGei64aTikJB8P4X_me=tMdeK$<-jD5` z(E*-DB2`?mv4OMb6Km3o!m`kNByy}-8c~jLu>l84Fey?laL+jDk0=i~ zzj1hcZ4!;c4MooZ%d7liLQB(c^;`a*fR8YOQj#0z>5{K#yQ2 zMb?LpjYjhDkjegw7-afvWf+(&K)B^!9l;2~VSxP+|5W+^%ls;OXh<|AC(_M?T z00E0TH6;y_I<3{qxXM$g(@YOwy%77h1&mUOa+T%p`1a}1^TWmDrT8ZmfCb+{M@4RM zhdDuk_KIC^bW&k*M%_uct(qnRf3AfY61mug-P>1YMnlqC!RRU z4h_>)TS5JP<;`bgz3N`%s9Up~tD;w{*9un(25f1GQoHaVJt0H>=f5K3v6szQl#?Xa zq&nP@*u+(HZbv2jJgjAoeO(j86)umx)j-2j{FcrWm`@Pgc7j^$6)o&UqEt9WM#6KzJV^1GK-TZ zSCWxwebA3vKFPExZp1^?c>O$auVXb!=I*hVIzaXJ$s_MI3QYpF;^=Z;2l?*@s_qmAb8t z)lW{;6Z4qGS?_P;3JT57o~=TZ!AfM*PFP70v4K~dMuEf*yvno=*}_~)_;bobp;<-; zja-PG?zpchb479lAIB-y2Aj`xOI`GbL5?-^^N~_dhN*?-9;qfO;g=&(MeL-jmY4ev zxx8!TtgQMaQ#PNyQe2Z?gF&IfEfWs-VrNz0a;CMVHIvk_{_ij`NH#ZbvM>Iv;K%j*U!k0k_2G&frbL-jT1BE+;V$!=62hG)x2I3)vKO+ zGD(8}&k4~}HQH$ytF|s|tBu6j#q|iJ(ex3`MyzyCdmDOTH^y*+<2eNKxMqI|bWVsf zhDURi&`Q^;t`&oVRxT+?W!m!7Mi8in^SZXNBmA|Cb2)}fxMd#U)bV+7G^Tt5#@bYw z;G%EcRC%WEeK&h=BEAsKi(%I43|Z(Kdp0XD&@2O*WDS+#ZYa>tdhpUBMhgm6rJT){ zs0>nf(U|HNlN(Gk(ux^7-NBX&r>k^^1;b1-p#Bp-0w5v_#pX$hqg3Gr{2C)~^+eax zp$!S*h?4#;;{=qZb}!({Vy{$C(HT}sVre$qON`Etr-V6Rh}-_o`9^(8*fSCN- zSTeXpcs%IbkM-1I_J~aZ{xghb9O^ZK&rX8YsdqepSk(njSy#l-}DQ4 zgPAgh9JaD4aw<9TyB|Hu!_Zn3?~M)7Ca?Ij0-F7&GIvbB1RSHp_bo`cWGsyrUe~ zL8HgU1}jsFm%DL7O*DywNL~1fDT#{C7N`GI6Y@mp5@d@FGe`RJB<#KC-h5St$vTuu)=QQt)w^{3BoEe}%-C4k5=0-E~$z${pDcn=Q!AnmSCYB4!`-`49PoT3LEaVme zlLmI~uG}-Ac*z!v*v)Z4f5QIJYlh{uF8N=0W&m^8x!=|DrL^?9%l+Ys+#*NDKSzB+R>n9_h`(M=?Uf77ubDmD<>mZ@I_(> zidNBIxzqQ0&Qi?Z3N4UsrZmA+;eGa z%+gy18w{lC;Kjnu-S(G$HPuC{{g+rs9E>`1v4qFDl1?tzr|R@Vv6E;Anji28ZQU$e z33@*Kt!A#C%Q(+zyTZvn@ZO3kp@+W1xAY%|w*79-UD&8h|69aE(vX{bwU93ot3hS; zPiuaLT#7P#V_V3(#lue`7gOJ#pt=?GoigrVEfaU1lhW1atys!EjF}{5K6TI{{0yV& zh^6conszm4I^{yHKEOP~4;SVZ<$v|ZIgg+sj}iv<5j$0J45ih3Qe=Y|?}12~E=RL* zd8{8orf<>ziCCU%oN)+pk+4izoTqO(X8tWS{_CR2$Cg(w^ zZa!U3+-gQ%{SFG0^T)t`Bxye5+@AiW-Rufzs#1SW0<&253Jzr8u9C*>qE`UQDv}Om z=t0!#<>d3%49I8P0|(+j-(DaWZFbE4-4^*R$OML!c9HN(R$?)#w_Va8abx`4m)3!k zJJ3C)1&uTv3vo_BhJHhVB|eHH)LG8k*_b@G$y$ykuprZn*F)&Nw}l`fnVPocdZ4Yv zjKs=-cf`Ygg7)1K*>uAu*F*_$y#3g&qmSy2|AiTE$BlM*1H=aQ8Ynt2J;6LE>>q4n zpG0t_AM$`3eg;@s4A|%Er7HyIYx{<_YGPJ>IYd@$vg!>O89U|ADR-YmW`Gc0K z2Aq0HJ@W$O9{w(M7un@x)ZN~sSFuZ{qCX*VF3j^^!Q|2NlSgKIcP>tJ&74t) zju&cNbC0d%X)sejy%jt{a^K?2wu04mOB@#$bQwdLh9uNZ26!+T?9>m$EaODWcLcRb?- z6cNtwC`yT;=LxWl9=A^tvsL&*8!IJR)^yG_s0{2CyiB&Xz3t~Qs z4wKbj5N|k-QDb&Km&s?Pzv*w}%Jr)#Aoe#5&b6ANjB3%kIx;6{n;Xb(QkGtA2;NHA z&wIT)e3uBT)QoT?O|~(l8K;;wGX&tg-!ehN0*z|M|L&o8&LWP)T>Ims&FTk~s?}Bb zfv^6>w|k-nDK%w&2Y-UtzTw>{7>4Z4qCVU^)uAVhC(m`EMqsO30=H3^(c8Rs0FBnF z?3_H`4Mk@e%xCO=8*cs%OPdNlWP`j5g4g(8F-z+*7qamighzU_YMpLtRm}5lkGQdE z4)LR-Op>I4Kv#YrNyvY>V<6XDM;q?6=grekI9At7?BNy z=+Q@Wm~*(VeZ+|3PUmr}Pg1LpY(8((*qmgdIHiv(+x^y&EH_KoVMd_&Kelc(N=8%{ zG}D3Ax3H&S{+`Fre7J8lm{kX3C)8|bKft*G04RhoOd0`eyQt0KkDJFR0Nn|q09(55 zg=3^ObWhPFeK$NWTpXPHJmWgS3l-6uBm5uBp|iUy{n_++H4AX~Nt_%90&%x-&F)ok z8KHIw3ExyiPeLIrE==_b7HT_Nu>_nRQoE5V6M02H6&$OzNFXy_)pnP(riKQ1f5th zZt&+LyLYRQI(Cs=`os;kZ`W0;`d9c3uc;|0VwiKk06d(^48&iUHZgDpQPdu#Yn%6_ zAfrT%e3t+58 zSXvc1A&Tu7rwX3`5;2`Dr0|$0Dc^nN4Y2|H_j8L|THWQ%dR~{oJVs|T04@o63Q@0? zAljmuxfYWq6fil{g#Db#>I5rT|cU+Am?r2Jq&8IrUK0oB$O=y_A00&>jlJoX5aXnWBI)chBERD->1r-;{*oonZlMH!a}80AXe z&jPY8P;NI0N0IzECd0#X3Cc&m5s`wSbMuGViT#evJ#nhN4Ou!isu;TUSAgsC)_dZa_GI$~ zCL^+52@S_~O|MTOWO)WH%Iga!i9St7NlNrk(H~GG`DD(!Jhu&e@tNg2r3*Yr86fa| z@Ei%j4+4KALkVTlDrJo~tC9+E@o6sxZ~r-6DDs@Q)MdC>SxHf5KmQ|?5wWwo_!ijn1 z#0I@F4*dAa{J9Arq>*mfN0CSWg*r0NKKpnbYBNj0{bDD-5#qB`!KED(HbEbwaTq_b zquGKqskvwdv#y$JI0Qb7?{pRu;{&Da8b*KLFUuWFDc%{+H8+qU^B^$Jr2={zj4&m>;q=6Ab7W zs=}GUP^$5Vl7`lUB~?U{#EjTPrRxV&LvWO zRmVYB-|X)OsC4Z&yMXhg0>^_AXTKxhsk{HIO9bC&&AG!7qT=t48HqZtsc|&T@?UiN zZU6w*N02E(V%&ml!SWwG6Tue!Z8p}J=1TD$HP>I#&bj*fjpP5M-J!x6Dshu zfRbl2HeN2>Yoe{3ksO;R$>8>B@Z%gCV4bD%Y3G*cJPu$d68q;Gfcho^srZ5&{4q57 zON4xE{f&tz#?*;LY0j#*I8|q%PKBs~IEp#`qPEuX@KQvP_w#6!EKJxn2ka1Zl_>q^ zQRpf*^iZd@YL{lf+r0Pa_>_3;)KhnFEM(id7O4s(U| zA90mUpm|$&a#{>@veKCB6ZS$JdH>-TDOkf4v$2KaNG!yar*vX^Jg&$rn;R8X+JdJc zjW+~aOBRxG(Tl{7I~)y|Gk9P5bFuAFEZDHGRw4|0@(1Yx2OdT!DMh_f49XY=1FB?vD>@Z^X5t=Bv)+ zEs+2CW63)=*~#a*?{11_9wu<0xJ@mHm%!6Z2rBrCu%l^SRX<7y0%ku4%c2rTTg{NQ z{Tp4*0b{frrz;TI?CFsUbZtbcP*hNibUs6dFo)o(8GW6SN!6n|JYX8pt8*WgV~))h#( zbshGkygu8v{_hy?yc75KBp-CuQupGBC(lt8EpB`vZWyqID3y+nt2}}Jnz<#ltc4K) z5|)iggq+bE1rg87K?%6?y?(GxE`E%QaMQht{ojf%vHBVgtgH{FN-UWPkGFU315>eH z40c1I8$X41WkX?HB1khMM~MJC`j{p?QdO&i@eS#DU4 z9=33_CagotnGaZS9S4QjsF^o{jxqpE<@&)0n)TdTa5S%);*B1Y-OYJDLqM$?t3Ag( z9cotD?zrcPkLXK%t{Hup1D-8N6rrie>OKfd@uUE~gn`-gTSY{Y zDh8$A97-fksXwT!fqDEmc$9F<3h6?#57Rjr{c6ur6)QA+fai389_${0Qi%<@2m~#4 zm5U_lhFbCax!}A!dY_9~uCdrm75B(6L%3*g#dv?Qf>0!_YLm>t?g4qH zB>6WxwIyv9YN{s!@y!5=A3;O8<%WGWg?DB0#d;`CkdQtbdw*W{C=;pKAWD^K-A&V9 zvS$nMf^{=Yft!@XXkOG z#BuFys>*-*Mz3;lyKf(D-*6++Y5T9`nNBdL!Mzd48tx^F(A*Yp{dyAu9N=`OZlU_+4-G>p`<@79jL6wkc;Ust=niVZO@~3~#m{SbyJ>HS|Dl~RzQNaxzHU1bJ z`RtDDKE=$#>J?h8H-cZ%K-9Vwf*44H+)iS>b@@1Ft$FmL_W?3ZGc05RtG30Bs%Sb4 zlp@PPdVmjE;EkSZ#(IkD3fSp;p4kivI4nq;2D0a1e1yG3(jX3zc}2GR#^UlC;O>Ic z^`H8e!PLRYo%U;u6pSPqWikWb1ST(F|BCR4+H$lDv9iG7&$2`P5nD|*x{j#*7%E5!#w}wDY)+D-5Ld|#APi>xdA`IOTSCQ^%F3Lj zAmU37bjV;AKTvfSe|wO?0E*n<*a>;<{uFLxitmnWtJkmpSj6&K z3D69y_ul@dcRN%g^X8p#ITp!5>1w4dqLWfguW&c)S2Of?NgNmGpwB^x81yVlv}hxn zeQQKZKaMwxEvK^>Sm5md!4Zi)NUw5i z0a1`{ovCD|rXaboAP%^`wyH??OU@)Gcs&wG4DW|9g<=GP9?rxbE zwV^`0detO*xYbUs?P%#O(y}EaF~yh?1BZZo4GjhES-imI(|&f?cg~k{q1ed)sjM-svPy;h6r+>vX40E+W@!Gk!j% z^!GXUXZ4yvu%5{+YCkOgcG{7huIZ9^=yGdp7j00ZJi`mZAa++JBSR7z7ldMvw=2QJ zCW__^n0BGBZ8H_Lop7Xf5o_6>@cWmnBwVU6%`lDMbfRGbwr=J}I*PCV=62}*p0wmxz?QZT!7)s%{;roG>e_+*TpA+w_H^_B(WKRGAos8u z8qX4RlW4Ei59+hL9GVNPM@&scq&VK$M zl+vGdV6GiwLfs6_DAa+m0T#^&j1DY210qEHAGL5C$)}i@Z5J(*q@stT>LNm8KN|gR zHY*C16`IWKCP)S8rlK~N7kBvhPt|N=0>4$m|Bpp_>hc(z`ab7O>3oTziJea-a*Tf* z;5MY6+dR&_T%z?mt)MaQeA`?|Y4po7(0pT!zLD6m|(e?=$@-e-z^%5E^+>%vq@ z-wj3(**WM1)%-A`1bmMz)9$8RcWJE@x_2G0G?$BvLi17YxYpFJN21YAP2-|1hJFf- z-bx7v0}5dKhy&#{R2v0Gm}!8-1rAn@rcO&Mc^Gpq9hQZ4(~J{DHxOMO0`v2%UA5(7 zAaFY5k5S5^iQ~r}xg5`F{e&AJtMWKGrY_kFf&0l0tVxvS4=rAgZx} zIP8yddw9PJ@<{1D^4m#7FQPx^WuIFX0l6~y%-N8vwkZlRRvLJlSXNqt4ey~T{W)8& z)rrM^Txcb?hp`;wN1ZQWe)*f(B%$(%TV)v2H-iA_T~`tHE~T2a^s7#`tiMIDV+?U# zxlVM<{W_bis2%^*5zjM{od{~D=hIz!^g2;vyF~KMofT{i*%bS0<*KW@0VF1`1y9|P zzSaow3s@a4gC< zRDJ+f6@VgWG?>ZFbXGIh6cAizBjh6Ab>%nG%Nr4L;5VFQ-PW2S^CYZl@WThI?4%|a zm&*o>-$`RRBcKOmqM1%Wni-9da`>lX+E3EENV#*BFd{q0hVa<>%huAAgg9jTe-V6Q zb?$Rr2Vq{flK-lL;C!}7rpNVp%RK5zZ68rr7mOB>MAW7aEQK%i9Djp#ISnvKSSQcR zTZ#tLI(m3YsH6+l8l#XOnq;2!d3y0|9ae6AmO6Xhz}K@fDPjxgEvkNY9C)~uB8BsQ zj$c<0ZmsD}w-s*)F2C_2QY{bjygVgeJ!V~unDbt{>UaKN;wwJj+lmwxt7&i6B7j8A zxvWJe7bP`=nfo>mp~4#`96CFCSX~_5;p}Q^TxzADRjQxk{#ixC)Jgv7ZB2l{KxWF7 zzr#C;Mi`gSM{b}p!9-ZZTjCGjf0(b(1Szc)W(r@z{VoV{S(eJxJbp=*=<}N2G;GOX zVnK@$qA;;vBHz+z=jF!(v_28n;bi%y#IsQS<>3L`bqMjzxH4h%-5aPh(D;7R>qVS@ zc{R@=6w(yIGLclNoSnW=IKwn-X|h*`)mRqnrq0^|E~H<`uXjGMfu$;ZD4%#YAVXF= zg}$$D9>Se~FPZbA1BPSvi>bZ$+ZFZob)PO`hyBrIPo*Ft&4*ZVpW+`3@6F$AUm6IMOFLD~PdZF&&uSZ=u6_5U|#MBl( zG-#oU`M{krl0g5FDJG3UCdmUdx7w6Uc~Yhvf{K%WCu{9&%5#Cf_h|=e8~kkeBR1YZ zVc64`Hhn?wH>t0*ce8S(C@S^Z{6#^1cq|DpjR=ReWW7&oZq&NPAXuLzGU-`6{QGhT ze8a>dDt@TJp~|yLr2>#PV$Oq3TQ)Fhc$}-3;NvSm5d=NonSbSOvJ_XD`Nfk9qPX1u zc!Wm*7ou^Fzi0C>gWDkIEOhH-9Rd~RObZD}Bm(DV*rHU`V}%H^82XqGJuz&msvP|M z{Cd6EU9{00${5;ix-ANZL(#ZXqK{s9xG@`b%FJR)UG+&5+%g{?Rre?)H+jU$>A*eW zxMVUVIJ$=cR!tz$?2icfE?k&ET6E+x(o7b4KT(hB=>z}oG8or+Zo!R`H2K&ViM3hU z{W1}fqMT-o(h5--tkTp%GK@KDPW4>z&ReYwsV9f6x|!E^oEfA&ND~>a!&gC&dkAu= zpCSGyLkNR>T+(G9O>mcmUwPb_NF{3%pk5~8(IpdLdciye1Ctj(Bf5w zSDyMJw8#dIP2}Pm>lH0QOah)jr5)X4TR6KZ2K48CwSPSQDaqe!k3TVN}y(2sq z+HA0=_%Qn?EHy@IPie^~zE3XBY>_Q)z-31vH}(g5s!fQnDO&VqXSVwu&khCUkp-OT z-41C(XPp&~*VYIZW&+P(tSDt5S`8Y2Dc6#8xBiYe#?#g*uHU7iTEU2uldvW^re-lO zGkqNguJyKKHsIYXCxNZWKnhH;Iht8!@di{sjUe|IEA|L#w{6i`RL*0*%31Eq899Zu z|1B5iM3GCSn4_o|6rAnfz}Q_5=@9Pd?W7iSVUhl`G^NXFN!Gu3WRBO+PBLEveqm#m z?&%UIQ%m*1SOyh&n6@qD-YS;$@*72s<(|`Hmi~odeUH{1dk?>GGE*(G!-d@0d?1ymlu?m~THLXY~y4jI-$4K%# z0;wi%g|Ho<*?oX&%kVDA{QgfNkimSX{iiE6|CMYb7Fpks5@MjR8d-e$v*;tPV6lf? zmtO=#Obw?=Yl6N^NOnKzU!yJ(`7>7-(7{K-YGpPVb;Q2v!jY{mDD}htDuYM2#|;Qd z-TDwl%7TNpu8gD&MQZNWQy?%Dy7-z8sYJ6=sov&=VaDz+Wq>zHfbgeeT#=R`z7NMF znO_^B1{Vz}@#Z8U^DTHan`osUzl8<&7p1oo78452z?Z>}8^a!V8QjQWMdQ7@>0cA| zg{Qc)f!hhJRfG&1h$A~#Nzti$;S}sCEpb7p^12q#12+vH`FG@K_U(yceBj&gz!ww1 zLzr6gS&38ffV0-*)`I;T)<#PL?1xHr>g&zy8uHI%hp6c^D4nU4a6gLNhZh;I=EJIPPdDiVlOp( z@OL`OW^(c--SZIG9j=B~UTYmN<4=qa+veN-Phj{^3et`PP-b?7lNR=rqX`PI@uS)f zvDQch$88f$ac2$Vnl(?pbl4ri;D9ac4jAfB+y0XCKs!M>rnWPn6a9zy4rOE=)j1}a z>=;idfP~|buxmKOyX=*8;aLOas0yE^kAyHV{heI_&mkSpD4a(mpwu$f3AvG+B~xB=2^!k zE=J~6SB$Ye!gvF0?Aw<`YJ{AV5EnM052r=@@2|gXkx;9b@K}4sW#nOnejOM#jPKGZ zpe|c8ZSs|+enOL5u?v=fVno?ydI6)^;>f^M<&m{^Ax-S?qJkiGUwTGdmht1c%K=-7 zXKk&v8^0U+Wm*|;>rEv9rIa7ZnCaEX=b36Z%3|M(NX+dBl#DK=7N$<4MV!rzG?n;#$!{mAA_sO2FH4{xoU7! z$R?>vQ1XwIoqBBXw-k!ZjZ&A^Iay$`A>AHRI}RHH@FjB6mG}=nqyWP=ylaCqAPeRt z9ds#3g`sT-udGUiU!oXXm(yt5#P~~n9(~Qe`;~3>p|{+}`35b)k5pJ+8(W_%3CFY+l$?`jCG(k9pc^_jDYgh%ZVKqZN}b-hns4TBdWf#27ZZ2 z?6dvk*7)1-bL#b}RU!-oTcf&QJfvJ-SG`c6@Nc=6l(o0Mf`5?uVOzha>n?SX>6`-J zym|5lhSX~EkplF8+UiKjsgkY$rM;$=kx02!X9LTOoT94ohR}hmI)j=$;TrX zuFoVf98nlfGLs7y?z$9=TFFq-1)pDHm!I=XWbS#{>%f9Di~Sp15CAR@^4eEV>geJG zH8Uns3`jt!RS=L8LaONFOvB~51533CXSiA}#u*hw%`S~Y1WKh9etI1!)uN4Oi}K?t z7C0T#aK@i*FvLHB3=D}!qX2*~OMkK&}y z!Y<(RW2}k|jd&y_q)^-T{lZS+<QP8oL)Qc^LyjyFuxrxu504 zl?7AON1c=4>~r%Rp)N^k`=bIsTHS$y2B5|*g-s93tz0jQ?h^oR@yO;fnDh-1&k&#-?#4+`{ zTpgD#b$$%WwYLBOEkM%0FXs*ha{a)sH65s!0Wz;-6gBWzc4$~`JVTmZ4a{%2+)Y8N zrZ8nB*pfCz_aYrqOU{Oeuh42R0sO!`>h0=T#c*iDAh%+B8u5d2CpjM|EVuLB0mokY z%McSA5?A6D`=L2H$(Sg{n`&~c&3Q){PZa)h7JvlU8hCP{#g*;$x6wl|xDg{+=N}x* zlYPdE()NW0r7GTf-^<`X`7Tx&FSp7{`JB0J)eC%>m?t4AwrTKd(H`{yp$=GnqP%15 z7guvoVg=nh=tW{Ci?hN-nw{Rn72N}|E$Pq3-`8WVvCKJs-b4pD(namfv*~5Z5L_rU zNm2A7-5Hu(j;R#u*KCW+rs-2CMGDJbN^i7cbN*3J+88C8wsJLy1Jmu4j@+x;q z2f&1a)A~{ieCfFu6=!@M8|?_yGHQfanhlrAMw*fjv_sB@8i(Mk8PFy?d99osy6Fdp zP);v#sSYn=DP1ZrVIH&T8FjY7Se{YdZE1YnGNfd9)s&+uUl=njUHvXPD`9}j{!)o` z<2kvAZ^+?|ROpMF@gHDso)X&MLbFK=8PnKCB8906vpOjVELGo;7M5VokozT>fNem| zFj{(^2X}qqfePDoHud|@;W!>e(`7|MX{ZLm$g(OZZ6X03+(w}G*!4+wAq!jpE&5E} zi;0`KcqQO<28?=PEio^$mT%u(OXPkk46r37Vl%b>ho$~_VzeUgGvED0X~Fae z?>^Zf_?z{3QjUs^Rgq@?R@WfvSYBJGL$cp!^ruufvk0(X6YbXLpH@;1Dyw@8&9{Lx zo`;1iMa;b?`20Zz_iv3KOThSZ=j+M7)Ou95uLj7FQvnYb)(ohas9TvfA zer8E+TRj3duO4Co!G%R3!GCnqa{c}{{u1r_Q!`BIOB~05Kh0Mp9{l^EP%B0c7zLf= z3Tutung^UedZ}A2nqD??p|CWQ{g|{xUH+7bifN0(9q`(j9iY2SUKAI~=v1g$_gMGW z#%YRXw_Y!EV>0q@ji;Q36zA^fjArp(1X z9#Nj_JtYi@Kg|KIkjZyfILED||5z!YLtB-}FoDF?A<}}CVz;opnKu)k#B$aWnk>iu zw9IWTY!cGC*OL}VT9IP;9hS_qLmvg^AP_e6CX0XbVUE3}CimdA?4qKMlG0U6x>K&G z-+z6RH$d(!hV#m(mgJEl1EH|Y}rb+;jHdH|FxXeqX5aiR@n!~@_!Eoi}GBG-p~6-EWwZ$b7& z!1qZeboOGuDb}Y@`8KGgKOPhv-Qphf>H}WcSaN@B(l^;a(Epdy(v05a3u`97HqV8g zSU95pl(k2SFY*v?^3iS?khHh&1u`*;>$&$KQWg)dPlk?|IgrsputDVMkaaWSeCKdk zT8~3D44Q#zCsrXQ{o+%=w~-6mG7b@78I(Z0~*T zFNZ*$2>!fQ=N|ey2$Hw7dPNcS!g(hLvqoE|&5yj4cK+0K1-N+zL^)Ka@{4Z-JF6|)BdXXXTYGB{bW87g5l4^Nr#U}ha&G3 zGdrZ#Vb;w1W0!XbkeI^O2rx1`zoGysI0;TKEksc(yY@IRNwo z!w<8os=Go*b1-M6-NtI}nFjsYt~4OXtjKIr*#c-B67cdY9L=0{CEL%!?XKT@)L;+aML&&4aCe;^T4hP-V$!(1 zvI9q8@cu^hvZg=rjeiO_9hha%vb=l8%QGPEG{;buUzYnlHr zz0fHldp(^IfoBR%`brA3R~1dx(@|;=us!Mf+oituWPb_j0xsqWMTmaPNm!s|B^}^f z<284ujbaFhl;N=y$}#zpMfnmFkZh-vDb0V~+DBKE7^{AfS6{yF=Nv-7H^uM!p7SCu zH(GTM%u_vhWF=4%+K(NS$c+bqygOzo{IrZj9op(bE)4a~bgUyTTU&H7#-Zgfy~GyH zf&d9j^)8*0=sl2>$z@#{{9JRfN}RroyE9m3a5Wghgp@#XiPv3doJ(-mD{1|jK&>zn z>AkMGLe*6rDdUqP(%Hkid@Fe7SLljN%17K^X5jf{y>k5U+7kxFM*gxsYjXXw+}Y}g z03d%X#=Y1DSM z@`tICLC^8M;VAC1_F47{G-tI3qtm`tXzMK`KrYwL=%@^T(p0+*YZ?;#)5@qZ1|{&q44*t6oVHn5 zC$2T%A&3W3^X0BfF5>SoiT=K9y}>x1$738OS(Z)Ge7n3BE7?lhev4vLCf{L#24!SA zhzz+MRzxRM5pgC&>3P+dUZiNqeE|2QcwB5>q7Y)|5k2H9ego|nGWuzLfeCJ(0a7_> zIuUJ3VIcI_oVu7(O z*ys$OAC0uSR7|}mohq`-50w@thA5sa#ViDCp>}h4nY{Iv^UfH7ZeGQR|&*%;m?@+CcY2W-&^xo3QMf@tZ4v3#=hQuKr&)9sSZhWa4ut=zp!hs^Bxd zhUKRn5RMUD-mJ+gya%lFhIkO<2!os2wJ<3nmW$XzI`ykAeLJ1==wY|+YhwPqwr8rJ z1>_rXgPV!*N~2lA(|2J&*{Cyxt|jdinALo;U%A?iKa874`56B+JY<^A zjR^q;6}N`wA6I}e1c?tH6H7~`N!h`pV8+5NcYA77^+i+QDQ}rO(H7mbycxiogv9d* zV1=(yD`te!pf%1XNZ1}t3M29N94Yw*c|8~fw>q3{-%I+ykNJ6Qcga%X+9-(_1NFaG zJ&BjHK4JVxjc>zS^FO&ga1nswD1P+%+O9eZ&)p8Qxf{xp$HhP9e&#p$U1yF+M)}Fr z0L`Lj(N_d7g_B-{0X<~nt0tp0E_37-PVO|XI+}@~MH}Yg9H#YDS7R0j?|?yye&l3Jl!{KBYJBzH7~6zJL6UBDrhVDy>|yt_X4 zvq$98Ssy0Zy#0*Chq#=?+QfncqfV|<+EzP79N1)tWgI3r&sI5bLPk^l07<7VE7Kan z?fkFMOTYB_I zHDg@4Wn~M|p5E`C`}?&Dk#=T_NO~8|8z!nO47W`M20sdZ`&U>H$5U4%nn_BkpG<5G zs{#==U^R0W5)-%ZT;JV*@*Csrfv()z?mBMo#HaNoxkZ9Aj`?YL**Lj{Z5-%wG2k5% z4o3bP%)Rzoiwhl1DHqgYZFLZ`US90lkKN}>5oq#kMm@g~>k)RWt@3IIu5gE3clfCG zJY+4+<*I6xe;Q_0Oi*+-3At-4WF+qnIj{;lOamA#iv1!+b)i~zx96*^g&t1R3ZimnCNhy%k z%zN0j<=PA_wnw`E&W$eOSFb9XGqF5u2wn&MLRmNT;``|>`M?4`S(2tKTPxTI-5&5IGCagDW15|RnCe4C< zlPtl*=rLuAAp3<=pGJnn@Cjor8og(=P~ULiUsZ@|v)QyUEecx`s4OM+s&*2 z?pLNY93KQGNdnfF)ECJ(pG)>84*yZTo}W%}p6uTf8Mf-mG+jL0i?l@~?7n(7#{ZlX zil8TdQXM{SiG*Q*R+zHi2YOy_ADcLA+24&dVlWXdL^VcYSO3jGU zwqC~vi2%-O%|=Mrmdgso28_S2@TAF`T{n3QfZ8<6;PlZMyPy{ZizxR^XsbD^ZaNvX>w>@#q5B0>O`Awb^A-RDx z%!i++ix+UCt2%E?O@W()zdW|a?KPbWZ}Y1HAC|~jJHMCbDHcD-cRN4C5|gRV9`R=Y zIdGBzr@JlhTIiOsb|8P_leDMBvf32{Q3oCyKW)gUV(BFoRfp$2TJNX?i0l$QYAEQKYMPRvtp>iXCSas>r49sL1M80&RDh2$GD{$*M!Cw2+XDoBU{zbf47|Fw zDo;aKHzi4tm>)kYni2CTjA<70wMSa2cll3J$N3h!DjT*95Grv8zV1-%e^wOkySFSs z01v7wh}py!0;zJ)xY(4}NOJxa6U@(BJ{<}Y(0`P6>Jok_tS7HwrU zc9F&k-6!5!qkrIGDOTksH97+5EPC}!|Kyy*6TTK`b z5Rj#9`zw*l55GK%3KE$)(cUO?^9JcFdxPjfzUf$pT#PpN86>%hLx=6N=o;mfDQiPJ z=AlTDmMb(B%J~?aD@$C8-vYi@4uTWP<8k0Yxm|A~JO_SS_5U`M%2}g=Bh2OyMq^}I zx-FDm;JfGx(@~-smwWsRj=V&>kW>lrhj!`j5GUB`Ie4C^H=4xuR1j?#{p z!CB(_$bq|Wyyo;o;RGG70e4va-v+N5Y4c{^;(-=zpBx`Us46Ez1#Yt?Mx1t4qnA-6 zYrpm4FvmoIx@#rRT0Qb`>X(D^9?25Csxv(8=2nvYxnplW!VVtI{Z~)zpcR%96>R^T z2ex7h^CJYA$HdqJ-EBeaF9ub5OumNkwE(2UnLt8_B@tc!FJ{yd-@ve`^GCZZB>BDl z{A#0o-MK+RpU5H+&D-p-0qHN_ZgM#~X2fAKD=FgK^FFIA>b5BC{ccGWBy)C#9)74h zv^7+C>b0;Q9i&`xC)S+`K~(jJIu2*}dCr^ZBZk!CCV1Rl#;Wd$2|$x{C_8waepG)k z{imDG0%9FPxrv$9>ibczS#K zS2)!D3=0gkw+ucggkdFM&9IMFM&VmFa9iJ`!(v;y^+W@hL;t5jEp6?&fn8-M9t+(C z2n{;Hg{_C~fO7hxQKtsFl(~9|T6uNZFDBnorO9oScQ7|gfw;(0mVf8&T^_{$I?8)q z59xj z8P2JW-Ewa}VgH8f(eD#7gv5|1V;xz;a+Yb7G6O|=BGi>;lXhJ{ewW8daJuIF%!q6D^OB=fg02pzID&9k zQEEoUOMON*OrdB6dj1>p;YXCqz+~Kx?ji`a1Ep#53^OhW$FhAvWi|N4Rq5mzh(fFp zkj4Els2^O%dr-E>uphVGoT)MB=9m}I5lnP0Tw|RsZlGAT3(X<-sCa%GUeHRx4x0J* z|G~Cr%d}7M`K^M8`yp1nR0o|22+f_?+J0hyvKJgcyZ*=1wR+rSglcJ+%LfqJ>%J zue@beT)Rv{2~OEw3_immhHScwN}J<7Q1i$pgrWgwN$h|bFaR^3JU2$CAyl$>2jtI^ z)r$>d(f{IPl-k{}L}Aq)benI8G7ISv@jel1c7qasCVzLHEzeI6m_zZiET6MlvX@{# z72Qo+Dk>2b!I{xUSQ;E0;!{RQqt$o8kfo{6Wp#$Fsxz1J>8L@*CY@*W zfsfI9-iziZUr-2W6kF#U>nXP*Wl!ls8Y70kMxIcFwiJ?vG;1r<1DxEzq^ zYZtu4M?{zH@^%GMLz<{@5vMs{HLFOL3B8->l@8zR(3%M;n3M+ z{;yerCI+|uUn_O~{>6(QCc8#NVGD9!ziXlgHeeRTLt(QZWUYb5jJgcFE(L|ehS!{#97cH2UC00k8Xi|P#cZ9W=Qkcf*bu%C@< zz!5M}3}{o3;RE!umdxxcvabymE~+%`042|kcp#Xu!CM!jzk+*9wvxJ#x31TN3d3@8 zvwk>cmb4a#dS&3sa+#Hf2D6NT6bf;e@(8>Zyu8jtKE$f`Y^{)r}s!Fh-LA7FNQ><{D+D8%N z%zV?QfQum<_9E6Xh5i!IcWmM*Pu&ZaxBs*Y!NmFt?xraoyyBwmO4-Js7g}Nl+Kn6u zBEo*##^uq)5}&T^apP>An=p_jLNdn?D%EAAGem?)T?PofG2A~=OgLc1K+xp?0HxJZ zb!wPuzy2faU*&&&2<3g)t9U2HnmXhvxU%BCOb)WC_X4+-5LOz-j{+~o$(W(&#`IU^ ziEX>YnUeIs32i-iz7MpE6Cvj|`;lTx5iH{_@f{T5Cau#;OfFszKQwcC6&Uk6)UkEU z+u#`aQN>PzU<>m@fuUq!WVnL?RI%D7tP25X^$rIg0WAaPx#!OZG;t*wl zc{>YLm9O>F&KZIjAIJ(_Yjw@iIcuS~y^Gkp9JjzTX;P9z2jo*3#_EN|b9uVn;e zYQ28(hR+OQG+Ve}bR4y7fM8PVh0?5ZhsC-!f2~96m7uG{#`lfp5dmbDVjcAQH)V^ zQoU;^MTrT|pTjxNaebJgag-XRyJmg0b_L9}28~kY#I@w& z1&F{tUZ!}|eIp7Wz|DH4Gn-{8f*;W^v!*2?V(tlxX_8Yw@Ku3k7nB@X-lAE2GP7>1 z!-Se{Ud=uS6n;$?vMPh=x~V#OhGvwgJYU;W{>0OkRW%WC5KQ$1$7b_n5#F_h63`1p zIJ?nDxCpU_#kdPAF&hC6_Z(pqydwW{O)E>MJ1j!}3=vtQ7KUBhO2e-Kg8)OXZg4El zhDx^O$CfmAoNTmvvokr|t3cK*3`s=uJxsf)Anv(pZj~j~R!Qhz0uhlu|JK8%X%BNY zN{-ePX*bpj0vZ*z*Zx0%(WzQkB*w0I_OQ{Q9Y#icW9p`==Rl?e&FOtNRdzQaH0wAHDXoI%VjL|BELVB4JO<1kT{Hz$sBCild_vrt`1XJ^5f$$ zTEUlwDH>80;sE7;9L&>4zSF>lZHXSm)+n^2T6yQCe{QGkW+K9N#n|e0@pgyBMaH_a zK|x}uv*Yd78xAlPgqle#0WI{$);=jX6WCX(n1DOpU#6jdl}#*ae+_Z(80m>+notM& zl7-&>6~D*dtVC$Zgwlw!+Fs!Qoo31VOd#Q4%wXUZRC zfcc@XBKF(4p(bciKoHnL?Nc=WrI#NlS~CIlbGkGPTBJHbL;ruc4kwo>kZZ!qfhbuf zCjt{c6DuQ*_5HNS-Cu3XW%viS7wvg00ZZEw4h&A{0H|efd;qmwTj49yCjk7P@%VEf z4WuI>dBq@-*WMP>KCr10SZCF82mhY%QUfmsdXki{$tIb0Fcd%lQ=e*AXZjuCrJFelKF^^oBGVErdqdG<6{}0`*{t|Jx-`g z=@w5#&nke_%0XF&)G^?h*#hi|QPoG|iwF1nF&~a==G7+CQ+OJa6F=Z<9Jel&Jj|@U z|C92m`p?(Xv!yZ0*ZyI_cw*8^2(@1OGm_f(Nhmvys|~ey#G5QpWzI^M;K~AVAn9kW zCb(*@EyRt%9s~7Xh9W&0JQIM!71I>Z@1aucS3U&@n#(;iPqiAyt{iAO+g}SkJ1!@B zkN?#GTf<2&9w48YA0LMnle#=T(tho+vhAjBES!llv&X%-mxdnXJ;{hkaw8v zb-%&)Wk}#1uGII#k1;)tKz+EmPcec_HoyD+9=vMVa+1U?#!eU4n-^O1_jz=nTJeWG zv2E1)uw3TVVcH#R<*CnY_s`9~(Nsmp&BP=Ne}<$+H(R!G>8{1&MfWcsZ3 zBhhU}zveF~NFmBDSSxpmS7iSm18&~j9;}R80cJu`e+F@Bvmbwd0a~Oj!@P8(SbQvJ z)XKu^-DbTk^E;lB#q})}BjmE)4koZYzvtv(ruJ%0z5Ma9d3tU6Xgw^XY@^*eL{C`l zfWP$7Srd4QJJJL@dYLJ0AY=VOTkcR~3Z*xAtfZA9QKsi)*)5&J{>y8dNxQQ-ORvnn zU&)-AL2~DPM|H@D*|k4k)5fnWo954{me3D{n4KvT6w@Ii>&i?cxW>dn&LG>pthnrDyN$o zoY?@g=3H~)&oSj^;BZ?D8IV@5)qs0pJmP2R2rl(2ETxRPjdfJ9f?`j!53HhUwaFsS zP;j^GiLuIYi`MU}wh9p6+HYzoyx> zjEK;}fn_S-o_5wn^(+OOIQ$)?99?0i#+L6xqTZ`RSWlOQzgi-%0BG}479ChCYp*j{ z=fnth;kiR9x9BTb>7u2S%{J%Mm!FHuL=)$Lg}*ph6dt%=&l7of)BJ9y?ur6kJPVZ0 z{AoVHQ+`*9vFRZg-e^?Ugu6T@!Po~0xm>AOdhb!Afpye1#$2-71XM3^EQoTW?CKh+ z?&Ck$sIvRTIWO-0Gseepf34aNxF##rqs=I{ENYcyVUzyDeaoqn%o;G2Z8m?j_8EZ2 zD(dhlD<~<3k5Wl_YX^4|VnPjXhrRd*2JbSaVHz>;OvN?Rpnp?>p=5jqu;3&Q;VOBf zP9;q~yZ+pspEWFfZ1eg)>4u(Fx|xSq(=yb$k}_^-->*A!%P=7Nxf%8Ck=w+p?N@;K z4q^iYvy0mECkra7MJuf7zys5slAvDm>w&BzJ2l$Arl@}QNC>BvuO`?Bs?}vj508Bs z@0Rjm3mjeEl{0f7CiSom&qu?Ula`ZA#8=P3$1Xj|YpNUN?6;~bx^{Vn^J#2gWPA}3 zT4H*9?4+5`&vgzusO`{tWYDoFY#btl{R`MHd~5DRvstD=S^q6etZ4A`Ot~uNS5q?$ zm97z!Ew{Nq;(-O{?A6Zb9zr5FZ}y&PhWvOKY6?)_Z-e%>kG zB#We@+2iB7loBLmR|j|2M3!-L#JI$zw$!0rN3%F+v|HPYOJ8zBw=SFz?|Q6_maoiw zgcz#*I{dDG23P0MCsTL*c?|E79lN;ug|P>+>AxoCbQ#}Tgp~ixUElDx7Stf8(S)Ts$l`4_I@~JQ+<-pfol|P@wrQJM{h8En%MY9%5?JlSsw4lh1_dr^OWzIRc&Z6 zRc}EDrx#_j*&=b_SD(8dC{}bJ%u6<(zf0l$?^b!I=T*u0ugi>9-zA-Owq7)0)uH^O zZWzn--_fd50p&OHytIdJw~vkT_GlVpdvrDYq%sB^23?jDM;N?Sn$0d@2i*3_kwE=@ z+&)=3S?+J#`ZG!(j0ky7JRTz7Mm@o%jqT-#pMCKxzk6ETnTD)~x*xgw!t_g@_c#cd zji8S2M&DY^6uhzG@Z365iis=PxHgs=4(aQ1UZTXNTY`>P-7mGyGe+rS&bWkzRcaP| zoPS3z;RF58Wupt*IP*e+)C7ZX%=fY|me_~@#vPC8h`g^=*k_1@P)~R8@kIS0e2`}T z)EUq-l0iC}gzh9UAx=h075Y4#mrF;SDpba31IZ59D}z3Ze5mSV#-RX48GJXW59&r) zb~DxPSo(8M+EN}C2xda}H6I|)iy z@rc@u@8%jpJTtWi8iyy!?-$D@tCuk*FTu*`lqR(4+*W_)AEoH8@w7C?gi?$1R^D@4 zGa@78^5@UPyyQT1&JdLen;^2Y?9x_sAO*kvoi09g-<+8#qac+v=0|Zn^GKm_j*|hz zL?Or~3qdOBtP}1;hGRYjQdEs)5Mxe)J;~Z!cj?sj7r|y#4 z8{5FZGx|w9eZH+7wIH0nG|Ur`9pMRRr3}kMBp)Qtx&s6-S*KWLK<~6$)uDn)Zicpr zH7JkwB+`xLc1{HMa1%VO5EkZLArY4ZJ|eIB8yO37JtYGA$RRkuYEY|rsIUjHshG_x zLi0Z6B<6C#O^VrxSJ!Q0ZshH_vZBV@kPF)$`yZN0RZjnOdg4w4r}SYvFu`U4_m^e` zQ0Ol@ACxXjFflX2Co49AKVaixy@>|keqHu=j^3B6by6`lTYaXg6F1&hb*;qgMIUX8 z1QEh72O5kjMkXOrRt2^$j1(8_%xe$8PQWU&jHA3Arqq1tVpy{j<-xKX>8*@OWVwz2>;y+Wz`>|=EZNtZI+g7OH4d`*nZ{cHmv`i3u~*=fXEWD- z@bw*#3;^{URwuuuw=&$r30cx+aTq>hKc0+&1s3T7EdP)b?q47l%`xUamv3h-N(%7S z28KNo&NsgG>K1)fIRe->4jy1`xP;+O_TOO>DBzf#06MQilXR9^wWc~O+D@y$072@( zbN>a0sjF(jC(BTT%(ooROTp{$(gJehR*FSjEEWprl#p5Ccydx!y9X75n4jGQ22kxc z=Y6K#K#}SLOI=xQ$=>yQ0Q;SIsyM2@e#)(pwX}<#TJ^+u{aK9r8TAI&N0UODPVrUI z?nDQ^Q<(Z!sj9vY{^{N~dNNS%wG?&Lq%bK9-)9WSxG61ZSJWkUgIiTbC;>@P~EIAn!YGM_P z;s<&}x#CavPV4hpBBg$yqK$q<#jRS4@pTOT*%9_^7OA{Kph72)!|KTHQVCDd8=h*fzgts*^NI$zSg`F?PDmR_9k zhx`ROu{uSRSYE9cy5#;Sn_2^XnpQIa=Fk42$w{;%YN&B>F!ej;B!NOZ7#)jyYpe5x zTHD>D@85vjGRh-sg0y8FLC~-6!JDm+=|Y|Xbom>SI3yV7JIFPe9y-6Q!@4&r%!PDT zzehBbaH8wknz-sNCb2aU>MGkmhd2Gv1lA@xfAgo%BXZ|VkD9u43i@NVok1B~&qWW9 zoI1hKDb$_fv6hG;c1m~gH7xax*;*@meU?T=JNluJ{#kQ7X}(*^;hR^bU0Wr)I(P0K zZms^X1FsTtj|V2_`&@ti9003Wwf$Ic=xrW2U5sL*DAQx##Jm%P+vOpoVj&nFSo>)M z)_U0Y+3Z!0?8`kTKjP57au=^I%w-h^lY!yW22QVxXO1UcLi~geeNTef1^N6W7@j>C zXP7oTTq5sg0n!;C93ppVAC>595=-UmtYPsho|VhQoC11sxKIVqyPUG8J`q(b&OwN9ThHiQ@zXZ@(EFlLsBfBmL)zbwS_JCR8ZKMf38eo}!W zVH1z?qW|$~J^=CmhJOV=50KlrWL0ByRIn{G`Q_ha6$Mg1qks2x%2N>PF_iW~{+>ZV z$1MLwytnQTW7LQw6O?#?`iy`-muwz<>WpHv15d^uH^t(ZQfmM&tKqawXKic6?+* z`F_*iuL_kRd|xI&#~0jRI^UgW9VnC@U})0dv|SATm6<8G$#WW`!4v8mCaM&A84O*W z&63iWSEU@~=yaOvx}nE=IYPM}>{I?|%HYyE0Xt4#>pG=X)|hF7F|3d@ZnVhS_JNQg z87<6-&TvNZmC;uZM={XYrTq>W)$y?cnhGjcQZ%+dHx5Lkls<)e=d{quQQ~XGxftSmzYi?EY!m1EgWrF)FD$1kW0`xDeM!By2&IYzaDNubWApQ}i zVx;##@>-+t_)vq-VR?u}D$9R`B7+^eoH}7>2>Qx{vAYx8^tTtc59@;&DQhe<_nEJ1C47 z-stRr2MnNppgQ&O4}LW#u3^E76xg=l96|EKqbN$|xJ<^J9SkXjt_JIi)<5crweO8xBRXxu&(R$F7}23Ki4X&2bb6p z3&&LL0}TE-8xl>FEvf-ipH*-RNz&ZaWQVC*z|pfLgu>P#m+`_H@RhaqtnsGr}X$EDJyM!8^~mRJfd^>?PSkc4+HeoL-uX}Ot!nSitz1#$L-tn zP#lKGTnn<|H%lfgDUC`@Fib3-{9B|T94kjyJuJ`xJl9J*&c#U@u!Sz*7jD*;2l>k4 z7-t5m2p!nz3(JAAdkMFW1)us}DFMpE>z)>uOjTKlI&SyH|I( zgS)V{fMO)aO*b&9H|T55&A%JS5nW<~v0E#Z3w`BdJUd}^6V0HSJQu>%i&DB@IAr=g zUv81}oJY}`nKSH$LhrHMKOcVDR`(53D}*2hws4+;Sa4lw?%-Ixsy4XEhH&@8*!$$R zGvsau;bSx_CF@QH@)Wxf>@Bh1+@=gaOF?UM&xwYoaH{0yClAIo2pL5Z?&ni%Th0|R z7>}xEMqM@{BT~I}bpzcQ<1?aW4u@oLE48>Y(vrOU%f%m=dt*4NV8GF}z$&bTn?C?Z zez6x34101Obu3T;D?z7q%IuWLxb15nW+m$`hsSC71utkW9v4#;0US!(`Z;KO#BfW@ zQM7YpsgDK>do?vr>)Q?rt4lagEDLl z{6z_)kI-~+VCRuO4??5MdFbsSAn2WxB=L^c*mWy!<4f9c5RV2x)+{&kZqlSw@N1F_Lvy z9jYbUnYW(|);MIoz}<#!y-_P0v2#HU@Xrq3)8EeuI{-aB#$``Ku2gIF?#nawwSBN> zwG7-EMM29)xu$G~7Buk-46{)^+>oK428Ph{;#VWh!Vg#G#zijeU1(Rx;Qf!`#b=sJ zS~6AC=wJWG`QL6t(%pOW9&PNT+ueU|0dedDPV?QomW6BzHW)RnQ%lul#)(;7zEcQc z6UDoNYrUW)(941ILt6=&FkEc-3XC9=HjY3j)4NGfuESNI*5m!-x*Q~Qm#qPn@X2oU zkB%=ySn@2myfRA1y2sJ?3^F+1>KHd&6omCw`a*PFjj9(3x)}dvpiBrPTdqhL%Kxa_ z;gnu`9MvQ%*LAMgcDKyy-59(DGKNqh)<3@=Ka!R&#CJl5WM3&ld>WRj9r%^3Q2{Ss*ngI zI`qX^IkPNc*{7x;+znLr*Qfr-%v%k_-ol||c3FiZNsaivm$<1tAlK4j68>s-s2Ein z6KzdYx`^H(2ls$pVr{8~&R|Q}r&u%Sy5^2eLm2NkpRUN37cPfu{otugzHp!K;|s(7 z2GL8EDx?Vq{SHrTL0%*EtugxOXMZzt^)vql?Q3qD>D2F@#O<1uSRRKs&;TMns`Pp% zVX30#?gJL~_i-SMKxLD;Sr-TEMX1os+h^2M9U2DJ=x2+oI5!tpyG`5DKP34W)wQvE zNX|N@98{lFEnA;}M9RtW7u3=)A0r{vc|o5m<IFx*kA7UR@yTvS8jpdiJ zl~v$y`d;!Mi#qTZk!SZfEfgQJXl75{2)YnOCwxcn>ntsdHCX|!QcQosqCLXI`(P!3 z;`3hJ2d8YnX+e7dKOs}nz>OKKMkP`ZzZH5H7lf4we|Fm`zt2Fiy#ZS42^(Xa7!|U% zmroMS6*JR30kNmWMABMsw{2kT=T%)Cqnixxd7-kYnXLC)gX9sv)A-*v=cjp*T21Nj ztWAviZJNJQPZER=TVNOo{N+%+d9axoV*dg?PolKS%0Og0360NIq9OrJTbZTaY-VjP z_+ZWjX&TCIuE>`*MV8X_oC*(mD-Dg8e-CV3J9hCb1By1T}|rluv{_{c$A3Xl_e zAad$%{fZA5H0FyrQo0C&2%9Fk$sEE zz)UAeSHQZFzIenR1gkE4)|P_=zk3ZA_NX?UtggmsWrEsC9a++qZJE0#Yb3(t-i>N%kI zK}}Yf2fcJfGF!bFn%XU>E7gijo4zsI2Z8?adeJxWbo>w6{vi~z4h5a_ITXY5NswTx z;R_I{PDe(8M|QpNh6>Q(aGdRw!w2fV^NtTaD;9Go>G`On{gy7iaMFKUDfq%}l zz^A(6@s)tw2C%*u*(0(A=Jqea>lGviUxV5(Y*r$3BxTsQ;NZT!LZ#)+ItV@t;Ii=^ z@Te8~bVa#e?pThuJ2D*9~PB5B5W=zw1_1v{iGzH zH<1X!SvW~j5XQ;oom!roshEXz5_jJ8b#>8(Sw+Yuc~R3m9B#^Eg9t_Zm!<=?nyksC z9;U07BW-&N;ej$f(GHMUB7Zg#$NUPJRr2V9ftL>f*+0nBj!b7mcm!o7MJw%l1b-4@ zpR@FA191w-cD#Y!ol)SDkTza?dDSBs%^-RVE3Z-v#d*R^y9f)42dv}zrhm_MS=KHd zwO402Qe3>a&*M^P0r3k2)|?~uH7aZh)f!mqKfgm*`vu$;DM^?*+t)nQrkTd);8;6{ za<>*;GJ+bvPK<19l0xdj8gla&s==i{0_o z4~Svo*cL_YF#gv3Vg3Dl2i0Ue@zEAZ0p;RVA>o+bV~KJi&53Y5ad-Vm4PWKkJuf3p z2g*p^tB6*2_KRs}Iy?$hx+_U-vMcd_(4tezyiMt4s?UAimpSL#6CGPg9-cFyN{hjt60mzyI^R1IHjd(bJ(0uNDn2~EXc{@@jP zT>c*RUycVj$E>|};Y;#L91kx1)0Nyc4l)NS( zWDhldH-FI|FUM&+7WqnqCIXwngGiSX?ZX@R;Y^IfY)f}4u#FQ@B817%nO4NVmLik_ zja0ww#oh(|XJfLtLiM9q|5f{gug}Q({D}wS;Uf!O)ilVq`sE14zT10xNgu>)eY=usE@jFcCXDT?qwa{XLBUsX$8qMT$3v z^3jvMZL^{Bg04MkG0!;)v*tqh7@7p?27wX?Ze(#P%Y)yqo1 z>M6C_qYh_biDJ?aRsw7GY@05HtpBU4n^= zma>$|{OksGBIy zhTw0R(|!%GeKMO2asWj@y1(+}Di2zX5)yXo@As6)1u1E2bmxCU8c0FXvH=9%(b(Jj z&jRlFgW)TNBkomj(5SO{*hLAG|K0-Oyv1|#^#?n{>eCbd2a?rh{u=}S9Ho*3^1t-Z z23xO4-3lM_`D3nnjk&V;pv5(3wcyP|;;e=nTsAm!cdBh-6n%RBdu4FaGSVRXRD%BA zf%E24L>Q_iT|Fnal@ktH1+_m<@|#>o+0*r5rnb-!gX|@! z)*ZcATm4b%(xFEi-M1d;3jr!ChQ$t39uHK2lQE`(%=p7V^#ieo>8=$lowcRNg|hUX zd1>PaB2A$8O=g<41D4r1QCeem)n*3lVLShtNSh(a@mcT?Sx5A|oyy7nembfyP&>gt zF1)WfXkGqAlv2lmwn@Hz!xj`k#eGt$|5O?rdo;b{RgU>RfxinD z1Gv|pf3F>Wh<0&Q0F_r(=^hGUo3AG?bvwPv^BhQ)9!n@(na_1~VA#N!ey@5Yk0(&9r-q<9- zy5jZ`+%>#1Iqaxgq9 zoIW^ve626~%2?*1lw8v~xZ3VgiC9yd7oI;@tco4V#seo*mLP=*14AB&Fd*q|`4%G? zFWgMUZnjmF3N(>Sz#>!wom=ILwv8;Gh|EaSl6JEkrXDz8ohglA1FuI#JNM|u!mu7y zWGKM>Mfv`qXr1EY_;PN@^_2C)iB4haR)mFnRAngw3=6sls9l~0{Bltx16emFwv7yg zS1Y|Tu!s8hKXasaX9XWrjE-=<-At%thyB;EQJ{t(4DN~McUTFaEQuh0EbwL~JGxT% zux2#jBakW9K{>vhgv2~vWKmXl-f3S!_xw&6yL-O%MP|dM{;gT^x>RT&(k$A+;+K9m zY){hHDbqi*J>){dBNs}EUZ7N7`#=|%W?iZrSqd{n(_-7ah8UXPEu>k-s#m?>mHo3b z^h{uI(n)Ke!7H6e7ONT61!hQuxq^mX!xzAe_jJ}@Zyf@<+vi?7GSCkwiGH2w^Anfd z9%e<^63=|(uk#UPqi)YIbOnTAxXvrT8em*3uhmasq%dCR0eU(Qa`|_YW;Sr^^s<0@ z());Colf}{jP%|H3-!m|_6XwUH-}rZ5f}XX5`Tf(RXnhdq!0ixu!ER9MZ12#3QD7t zBizDmms>|evRXl{!lUKO4$kq?{3+0##d%|oqX~0i+DU`H02Eo=wtK&@D)o=qKsqE! zGJQ+R=Q-zAq#Ap)Y)ny~bLXmQBO~r!O&MEqQFw_rB5i4r6<8EWoCVy_J162I?othI-&Na{Gc|BFE3IMqFuq+Q zKOZHsO4s+y$4^=CQq`z6lNX&gy3t|xJ8g95c*|+~-7($!0744>#3nH=_?sIlPEt&E z*dRx2vzH{66SmBA>TJ$Eaj{NIoR~KJz2_y2`VJ-}x8TPe{4TS@JIQgP!ml%>5IGYf z?~&gv97}qgNOEFW(B~+Y?b!{9p#*PdvUHh23?qXo*Wti_v`@r7@ZmKlA*jFVy^-|HNnPdoyUe)I81w5 zHj(Ug7BP1wT@u2-`WkAyr?wRl1p$6-Qaca}Qml|UGH`t9BN{+!v>}iOcO^PY0 znTHFT)fijEy|DsNbQ2@g!WZ{WZ#L$Ee^1kvp5%uI5jyS5ETNdrKHZ_`%CsRAsmwg! zsLAtoo@!L)AggC9>*|s1oslh)5SJ>eIb`VLg@0nDy#OgC%=y9J`U$*((B(^f6GPkc zFL1K;*B;DzL-z?gIQXAxVYAM2n&hEyiL_|T5eKU>jd<0+CO<;Wa`|Hku%Mz&Vn5G` zE{%5^hJ^XP`G1wCBl$EWl|&>?|WBA856kZj^@13`lsn=1ydms8OJS^&=BVz^xI zHQrNEATetmqX+Z;+V7W!uOe9dFTSCT z!7rb>C`VN0U>B-7;TGZ3;>$st9Mp=fYHv84x*lxUdRz16kc~|gfo|!Sr5_#bqiq`p zWBZ{)chvz-T{Str5m8~QNP1f&u+&DJsH+OniA*MqRdW&X<&bXe5v?=3H{-E|u3IHV zJdVq{vDCC^L%Nt1ka#PmiC&9#;2}n9hJR32bmU%)ZY2MiTB_P0F#39hK`c5YP@c*< zE6{g0liXQ>DhFQXT(|_4(cPfgU&kCIn+ErAz0HwOgVPN8$gQ4H zCSm;d`NCconjEG!J=;r|H`{iGk7WJn;4?|`PzVM|^Bwk9%z$dSWz#%NAP{QCVNzs} zIw|E>J`(yRQ|=R!6V0k23oET^|RJq8O4V-b+YHcN`^4MTXdCZOp|k*BW@mhn+iI zPJjN#akL_O??dl{0JKDy)S%x?^p8BRhh~3whBkp2Z>-T_L3^Yx#{`t6udhTJgH_xW zOyYo@VU&Kz@^Q-`!n!)XQAR-w?d?ji-v=Ci00{d7@CT_NUupXG1HtD4h8p@$6u7UX z>v}8(HkmWp@=e*aQq|1{E#Os)7|_&vXnx=u=$O|0?@6u#)bOkDUO{H{TE?|E+ziBZ z%SaSW=x>ut0QBMmzadLoNsV^Yj3dOLdTJw7cYMRK9pmKh5GZ-J*DTj>YfS&dP89fDJ_DW3UejX_ zGV`l@PDgQ;jtUB)-dbL=F_mDts&!a1utYU_?Q-)r%30kDn0%=2f}Yw@smi?OsaX;W zJ>vH?M|B+uvLjn72vE(E}CA8aauyF$N!7!kS$ z1T2~7I>g3Z#X!@LvT0d%$l7lF<5g>$sH|wI0vkvjPb~*sbkkr07Zw!}y2SmOXjPKS zAfBze0Vxxj0i@^pcBNyQw2mB_3u@k(k^{O!u7=r6nCD~uaaPEo2$C)8p zdHYs-l#BO?TP-g|bte^1IKXSYX^KJXapXuK>E-t9_SEY@QN{7T*GASfIE6Z4g-a*zQ)Me%E$O?e%1sdN<7lm~L7;kzJW< zX3=pwJ!8@5VghXxB6#p-uha^Y%v?sAbPpM@ovh5b9(pPU%b47f&24RJi5u_iUPyr%Epf@#?Vg8w4!_}*NL8iNqkb}7?+b& z-*MKtspCcj(`n%qJ2UFE=5Rh3dN)hfK834w%}!(menl+ZDgxSj&k&Dd)L%Id#PQ3J zy@Si)M~W)w+pM`4Mp=DlGbVqI0IEt=Me3D07UL-wxWd!#IrkOIf)91>qDrU%ux72_ z=V!rNF@fq>T!!Htx_`A1^$%(bCQT!1VwAVQ^j!ioEVFuW2RbW}%8mqtIR8?DtzYu< z-!^#;pDtRTQ_8Gsi8N&_3jLC-qs20o6a|NMY1wQG3-zjs`7*A1e#8csgG>ee|H*3X zRc~M=T#J>=( z7;wuL%I6x2<9#uv_xnopooXyACOAS$xm?)^||7j&y=P>^VC}^Nd{{$ z*HMEc<(E$7V{4mWgW;ItxM`T5pRhM#RlitX@Dhi-t?W~#@#PV2s@7y>_TQfC z!#jnx8oA&(g}s$V6s$~lrOMArDLWaP5mtK6yOGFb#<&Xp#J${?3f;>xYdat z+HoyiQ@C=9;97NZe47N$De-|QDVCp-GQP+ygQ>>RR9$nY0iP`^2wmWpZmjN%TA-02 zxpS27#R-;ar|@RgTn%?|I;XFxdGG3pSHOy=LPeEosQ=V@J>8`OHhlVy==1gBoUj1V z@RUD8c3rIuRSXjCVr`=FhVc3*XUP|nz>eb8if-X&Sa_ka$zKgndaT&mG=`q42`jl4A7x)3BZxC#N{`_bQBF^(EZws1xg zW&`Jm%2C@pHN#dU8&21D6XB>Y6zUeg3d+m=u1CJvAcNrsF?<#c+(qmx4le&w5;}cU zSop|50K4H4{LR32D*H3U>A~+;rdC2-*%lM7Y#3Y<&_Set@7y5{G6>Xb3;Jp|9w`b! zy58d^gv!}A3qO%eW!+<5Az#lY`YEm&!{fX?62q|^3Tz37}J6oB$7Mt)%I*^#W>o!@`|KiId}j zeH+gRU^{|`Q2?QH;J9@u7IwvUU3<)3?`(@I8vwJyMsuXT!@u;F=Fs~7JiVUi6dX1q zhFwYJl|0U>^Ll&O8%QJdrTdrI@Ihy-pzppSpvUQfp8Pn|EQ?@# zb^H=ccv=<=zd+d0b7!-7^&L5As4TQnAYQ2an{^lrC+Y&=NHET-epY~tR8nYe(7x>A zD{n7lhxPVwRJK_9P^rO5v?^S|-SY|X#ZvObK&wkS&Z9eTjCxr&`e3<#GgK%|?W6XL z_+BbKGB7rnZ~CDeUT!4`cU2pr!fjs<%ZH~Ltqm2u z;Z1^oaLf3T_b&C_1&o@*q+oBn^zZ*7U7|L{J!JZB} z*3O%piB#OKRTS)}psDx3GoNG$>Pbr2#kf;itqOXiY?86%l3etb`P5Q3Y^`DBIy{4a zm$OJvanEP#zzR+oGAHy-xLdnIBe^8rECKS;))L8Qc>iZGwk}4;S98hv;O&KIaHax= zFxYSql%zH$hXlfNe;`fURO6sD8``S=(EKB!2I#Ggy#gZ9nm$nK&;KSr0`XcxMviCY z6yT@?YySd(y%K6N6o+SMO*=%EW2iM5D^hF?^J|ZmeEOmg&@Znp z6Mg9knb20pc62PhNTn=xu1Y#37+JU$VSNQ77ynf-4L`*?q|!?dv3JR;)6~V z@)(-X1<$}q|GOrWa()e5f;ltBwT??;+|(4N&OKr$aQ-^isb(IQ>0i%yYydS%l6vS$W% zw4C05bBDcuKg6I3qv+@61A$B4SUH&jEeRBKT(W)`BcPCXYP&C{0w(OTck_Wa(gOM0 zK6a)B`rZtO)Y5fi2YVlzT%w9&DP7Q^;xwygMZ{gNc!#8-Iy1n2QS>k<@#Q=AD zY?95=xA#}DmWuUNi7%JYgglOr%(#jS3BHb8;?$d$QB!%j6r&ud_ovh24ZD21cUBq! z^rSBJBkb}cVPQdUwE)Ul1{NT7D^m`g4@JG7J{0ht#-#5st0a1*wvj*w5HY4s4SX$>J^1C}V`? ztWw2v@*dyB=9a_T@!sL1JJ?r;=4#vu3sV8GiWSqXevrImg~d_uXT{%wrB!13Vu8O# z9y&?NSu@iM&-uvipBvyIFnR9rd`=qyIsFE;F&`!&u}r-z$wDw1xL>1fxBLjH=#Xce zOruE}|4dNXJ3q-=Z6_!pZMPcL~vQYXv)$rV*WfP>cf$dD1i8~2(w0a^SG zO1(RHL2C{1zysw zuHm_b2$-5pU&Ir!)Z~bH-Hz<{Cbl%+ZTomguw&*`<=a71PH&mUmz6A0YzGbTPJ8o$=_ga+pu1wNe9_$xcE@JIZ88WNCwp}V@nfZ#V0W3C zCGD?oX@8dj&FbiQp+=E3SDtYFR3dL^YNY;nFspLNRO|oU`06!FWi9XOiHRz;;jE17 z=Wx;)enwV-i+-$W^#dyJ@a6NqNZXZT(7hg^PWzG)xM>CfR_`A+5`Uvvxwe|uRr1gY zpgLZaL#Wf7IoQJ$xGe;lwjrWoPJ$Af9l|F$$^(Jm&4Iwx*hRjHM1UVD*+#5ZQX_X+ zK;$%xrB#XI#&gvw+u|5J_*wb^Ji$y<66E|GUVo_HWsQo)7~kn~Cz9fKt362xR0uvH z--3nTbW|(Jr!U9M)1b9%=j#XgKX@G6h5TeWk@49^JxsS}>` zKHz0J>lA@zEHhV3&`aMC&v2CgN*^aLTaK4(uZl*nVs=O6C-uIRFHeBX-UO;NU~4GxCD#lV zCk)uq+i*wPV)yJl?cBr4giK}rHvw4_Oyz=3RnaSUecdKAXhNad82U)F533OJ#9m^qRf9SKJmlw+Jl$P08Je1QE1M| z66v?EdCAS^kgh&>-2FzKRhbPsj0=ONc_Zl|Ulxnc0vD$2r<0>@h`8JI3aNfdz?2LG zvChIXO@3CGU3LI8SLy*Cc+H~Wz;*fSJNr}Aezlwz!j6&vYD$vRXahre(BG}Q?zV-n zm?d#8y(W(!;+7VB!ks=$@mMES94{P(@NvEX$H5_P#L5+vOKi zcQpQCzBnjFPnxUc|M$mJXe`5wT=c#kIl?IXHzJFkn6ckV#>vSAZ=g)g4rwCKd=6kI zsRirTzSaJn&EeA0M0M^+FPkJ;4jz*(!I(InMUNUhn7JRt*m{`H)%;(PPi!_??S4{8 zIU1+#F>GcCo|rwbW0=W>D=pHD7S zz-%EnS7i0U;3nn4uc-0V`pZB%e#Y->oOxfwPNYj%qa&W8%>1qEuOxTBG`xFyg=jb? z-0VY?>G(tI?^qZb1Th;A+|0~a+x7_zvVpwXwLFIcP%6Xm*H>G&;vS;}{01o?eygMF z6ugjHouUxBJ+&NR#9A?j#+5GE<)y8*=*7^Xz|Beank@_D{E2)zBf$;%H&;SD!&G7V zL-;Inyw{Ji%xIoK`EWbC+Ks#|R?lQ%o%<7*Nh3hyjx2#To*_$shQ8mp3RyrTlHBK= zkN5Uh+WRNx=oSkC5}b-f2-pZWqV27TCkb$&g#|rx<9x{DIOCx-WpM$ACO9>iM!;)D zt4iiT7lQrWoWug9ak_{|@CIydch15U*e zn#%?L2J&UFZ%z}H#mB@_x4+50-zZv|+=RBy0y&0agu*Y$^y*qSXC;?*px_PBB!ViI zQ*b<+4c}&~g=BwfKusHfpGAQ}qnxhDa1=o`E2g;yCzMKA7}xGxqzMLRW5-Rtqt>%Z zb|&bfM}|_w24s>v2qQw-{{G`El5ZB5hGe$2f_{e;{69xCvCgMeGORmWYhtOcGzAdd ze%E7Y&z8mqZBfG$8xdx{t!L>2?BwR0XrL)c?IB+JH``nLR-?|6TEf;3b+)Bm-O)5w z&s%gKhS!Hwx#kO(GtwzgCK}DuSP~7|>GewoJL^|;j)JGg z78*wp5E~`<>3&+ob^C6Dx{Rr@7dSZA$Db5b(wVUclRl3_pDscKXCEs+*iwv8F#)Wz z&dvHYB-{&!S#widlq}-CsSeF25n3~UoXn>ffLJ<>iVcM&B)7Wmr(wPIw3in>HHx!F zc0waa|11-e9p>KJM_<~{OzF?&11{#W*)YDVycuT>3VUtPnQ13jA^GS6$9k|8)(~z<-+M>c%GeT z2qTb>Rr>TZVhVa~yY~Cj&3Ekxf28l$|Lxl2>^ia25-61Y(2brWswVEjPjhECQ`%BO zL@5b|3<5~~pCmcTdgH&1Z%T_DWLnzG#E9)It9-&d7tlxAG~158V#yn;>`4k^; zqu97`f?CYPX_YH!*hI2v(W~I`@(-@tzi{ zI?D=z`qW|b0Db1{DJ>Wb%N0lcnIK8XUjF4!T9;>hb1m+oXFWCL_Hm)_gd7s#_w+oW z&2VcsUv=nd*ks3LISa?M$k|F&klQ}8S^mpU@lPRSbaRc?s!#Hk$tyusPdsNZZc;=w zXAm}lDl7B+$shsXacLxPy#p3YL03wATLyg*nsY}{KAbz!e{u!AuxXAxAjXdD3$^xN zvzLhv=QJF3L_*0+(DfeQyej)rj=2H7=~=}jxjQ~}eTUw!9VQ>3ak?!u`+ zsp*QG)v>6u?c`Y+&Q)kp+DSYyi~~>GGO?xvqTG)~WHJnh#CKd9Kf8YjD;Yv-1q+ck zXQPry@4na~3FIL_JYP__hT1mkYBEQFhlm>t6mMMGh^?0Dzh$FAAwE|oclnJqz{(@D zqa!AseKC{<<}D>k?w=29Bzr6ifDBrA=u4t{h*yq^`4ynhSFOLZo#Bjqx~P{zP1eY> ztxUo#Pe=GUiffyRr^Je5;-2G@ua3GtH$ffdg=BHMOY=QunK7v?CR0|{o$ zO3jZ7e>W-2PpE0pQA?1Pf-FXOv0W&+ToHLQs=%&REbLDX8i*<8BR`Q<-?-kz*(Hj! zWYl-#_hg=8U^Dl7WXxNS^1w*sYz0_bRBe%a`LJjMSJbFRo!_pkK>Eg4{5MD;+ESTKK}LIw zI8FXX1TzE7VbJ7KQxL_U$cDS`(wXVLOq$UnU1DoNnM%4wd9n!m0K%rD+;lff=@qOb z{rBvydPh6aAEtq4UTNDAst~f4DVP#) zhFI=Go3-n-KNQm_Nc;=|>wUo~W19 zvO$G%Cn~Gm8L!Ncf>c?0VDMR+c(Ud*7pdvHFxoWxbj^hOq-rIA-UJ;oWMOBuB^F(nZ?fFeVDprgTY+9 zCK|6nRBDF~x2mt-6LOAEN~^p_-pH$mN@4&&pdj^O?pNj;V3{E3Yvxk|$3eJdyD5+K zI+UFczrW#z2t(W3EY%3AbLiv55%KhJ#X3G~AL{6Mbc1d`?noR=NE-q4!{Hg>aT~tr zuThq zsc~COY{9+QzM)v(x{g!}c;Cr)?ADTV`nVB+pG)dcW#UnsIR2Yl7!(nC0m58)?)m9j zkP++hfhU)$y{+;9UvG7OL@Z-@JGkl35(|pb=$KMc*<5WX0`rNQDIu0(U!c=?2QTv zS0qWX039@}r@a!&rvs*b@{#p*Mq3PWC+R{>&-l9Z`0gfl{fkO5zPdZb$_%43&4e;B zM1f1X|6_&`#0vo5cSH3Z?Z$l>cg@QY9r*YyF$ifG6;Ndj{i{)alTd|)?fYjfg13hl z3P#_DVHB9uuMX|BINVfZ5*w$)V+tz5h^KPSqHUJX1Tek@ zLG$3X>pCXwm(8#h$1$|t+hN{HCC*WEoT!zji9GC_@3~;Jh6bVTt_rkFciU^g7Eur; zbhcY`6;z0{0aOUCRuoe9s_;vy=BT8=&{*59@I!g~72%VH7mhs*iDG-GR7^rPrl4#t zk;lS~GrE&|aP!Wz5cnmy2sB|2zZl$+O#E(dH|gVDdxFe}VqqM&<+F1F@j4y|`2Use zXCy+L7P3`v=gLQDj3d5}5-6*h5R12-Z(&B5@+G8Cn}R(a2uBf{E)-DN48P^t{M1>l=pe8o>oTztOjCK37pXRVXkuQ|5j{u~XR*RQ5 zD+*dk#9pasP=trWK2V61NF&x2zA?D4A}8C~y?ho7RG0EHJXuz~8Cq(SS!d^Y8nOy3 zUX`l&-(K_20E0w=tdvwu6xgU*!+ED?AaOHb4m|gt7?KR=3HtElz4Enj%FR?v`&^tu z#)`ADV-J(mE5HTqP-v=bi^U(z-W7i_HLc67OGSb5hNe?o6{z}l@=wPfEw*VVA1NH>20@FmP-tLcZ~ zjZ~QN2@ypXhE-4np^-E@RAO@}5x~EaxiNAui5gf2u&h`fs7`sDSD}SJ#AG{{iR$5Z zbwtqPx#5~^;@;FsLX02W`|RRgl-r@{)bs-S>vE_q12{KFgn=B&D!%HX(p|6IZTD!} zXzKct4~->328>||>TBwQEdoW9H$_S;{Q$4$31mXx5l~lyK`=ytOi)L|^LGHGKuBV0 zTAatA`f@DZDSiA`66Cin*_Yb;qSP8H!W)-6QzBX4G)t+53n43>AgH!~Blf`U5` zxDmxeOO%{pjKnmN1!N590KNiQKCjvOW;y;H9%KR?)fX30JIuDVVmlabwxRgrpcF&T z8b3ZHrpBITeI`0)c1RgkzQa@>52Y4BX)!Rwro|f{1PQtW7r9`PNdghi%eC!6o7jrvFXpCTecG8mB9&qmCq|G{3+oMS|s5hML`f>DRG%C zns9O+=W_5&)goT8ht!a5hcA1MWHb&`Qi^^&3!nxF8?g)SpF3z;v4o|m4rV(@L4tfH zx(b>pLJcB9XV1Qlk(e^IC527zpl`xGkxEyUx7bQbD@i^k03JauH7LBlz5F#I#0@Bn zP=z0#n8t)C1RbIxvS4JZa8DFr1Esh}$29lNba{G}#AlE6yQD|%BM0pT-SCe8(AKV& zfu&mWdQ)xrzM~=kOHR(tCOpHN#)aReL@4z~qG(()C6^bY>#?vCFn zQB%9Z?6;A!>?*g?5Wg-1kAr(Hxj*M0LRgF2di+DNZD4`RQBuIhz{u<@`1`e zrV;w1zP&jF#JbrpP025_(+Za)ZzsgDHV4v-QEWaG%^{)nTA7bmgtVj!cCr>{YG~;F3SJEdKSywNh zg6)XnkSffr;XFF_m;XY2O2G@#&?r#*Ew)H!>ai-HJ2cP^)~DZFK1I@izI}4x2XiUi zP(ti}>+hF<(QaMbL$h*_RIeKxUz=0F8iC5pE5?x<-5f~`C$cEp*^oQ2f2fK~!(GJ1 z41BwnhuY<9x4{r3)u*6Kn_`=hL@fYSS_Vwv#ppx_?E*f7mBwS(GyGYdt*pki^Rd#c zr-m4G>0x!Ih;$8{tnMx!2%ZMXhAW+bLVhJXk5&nJcC<83p#HgV`m~aD9qJ3~R)c>z z4UR2!pa;hH{AZt+tGO3c5VE@gg?SyXRT&$gjZp?PCeLtj}>3+ z$v$7O=nCpR{{K|{-zU?BDfRKc2-_=8%$g=gR&5`NzS={-ktd*qAO~ViN?`ZlF*grm zpY-ub%gho!eDfF-un<|xZyj9&)31;%-uz54P9#iglgRSzCW-&a(nnv&Vbv*NUwa|% zb#hAS=Uj|}c`=J@3pVI8ykVH#1Ou=?dYU4KElfm28|NZPGM*-;>p1Q!`H!xmxx8|1 z86v4aWoY#FT3ME##@)wE3k)-C43y~Cg;-R3%2+)@pZDS|k-K=f*i7P&NgUE%Q_6!M z7(_5viY3^6^$;oT9qctY*9_GMK)C6^Jwy36sERb$b;oG3pqF%mdwQk}MTtsOE+w5~ z9dHpYj#U#nsGRMeWhX7dKlI5Tk@;F8Jje}#0Y_w$?lV6R&M`B4#AA#MR;?h^{6W!eMy zB%^iGLd_$W=X^$2{W%ppm<@tFQ$AgooA!58mw>2`Y6T5qYPwa!v?v?-=A~pyYzSdo z5b8%sSC=?qPm=2LPcIWB6jlGoT2)*YVKsBv%7s&|vmT|F3tYfER0JYLHB{vIgZ4$C zQNV#1vWy%Hnf=xXf=IV#^JE~Tk7vo)U<%A*()P=(EVVf&ol7jPQgZ~w&Q))PE1UZ z9ODL(Z}q=PG3TwhdD-md{@H8hncIYbsb#d-C_C8C#^;MK!WFd9*dURfQ|R3^2JoP4x_3pvBn2B{9>wMV$vTqx9LHq=EKS-B{lx%H~2JApfaH(hP1N~7wZ;hTv` zUzmT=YRGRHm;jZcF(eM|bgYl(amZ$EoruJowDV*ISq3B{TVYdI{>*iv1ztLatl$oR zP<-c#3pmYrJ>(0+`Jr?E&P(sy!4!kQkoS`D;1f>JW7%1JhA7Kvaa*rG#tod^uHqxp zYw?I3u1L}h-eTssCihKvR{9x>#go@&x5hTczM&iX$K8$a1}7ZY+bt~k$|KYTRD+6L3G6APVKDDM59meage9ofH4=o5n+%{&@zNp7$J}{w@@|axS zA3+LNHp&3;pe)!hqb7KU&JH~?&AQ`%zxMuEGB_pxNT_9P!s#^?_gWM)cSL=NA9J(V zes1i@%b{8uRDl7UPYsy>OovhM*w3aIj2a`Jsh29&$BbRdNR=pRhW}9kC<0T%a)#_0 zzU!W|cvI&H9-VwU51J2!QvDf{+qbGG9{JY;L}Atu;rg+=^km-tIDPnt76m%E&C=F2 z6g1-9L{S=z^4IDYd%v&dF~@KY#;&{Un}EM_a*CE&+f(od z0nkMlm8XpzfAimL!umJ;)ifR;G6xIvmtqdzADNF+>ZcbQHY$HR&9eTPST>gVd8@s& zzq|clsY4%?_TvLlQYj8eDx#czZMytxK&oZFvhKf8!7pkiIo_FJivUl1N3}NYkk&D- zUAw8K0t9gHcij_0v(r|Zk_zK53k)?91rx8?by%;-h^8y#o7@WQB$e(}k!D%pS7921 zVnD*SD<%kmwZR^EV8e0NX#3YA z-1wbVkBWX%6=kJ)%)avl5he+}wA#nocdVXRrrpSa;wR^;DnvqX?67%WdBpAzKK&7? zCV>L1zzqNb8%+G&x*FNSJT5wVJGb=0-XFqbaiPWItLgA7(c-C>v-lt&(oC=JE{vVV zi3&ztPK*h++d-n+8i^zWg2~Vb?2Ri)x}k^M_TZ2e_daNS+huZDGYK!9luAJ}inS}- z6Jxhv6=?r!E|G3=;^f=$$iJx&SOxiLpSy;_L4EBbuh{ZY7X(BKR-lDVSLPTsPFVJG zIb*YZ|N;*JgtdRWIgF$zBFf8+m#_V5OwPy@DJ#gGhK-mshyn)!pmAi}qw09F9vRl7$o~H}wERKmA^L zb0bCFa{|5Vxl{<~T@0DqC}1)p0xSngjR7nt(=Q?bkJ)7Mih|}&UlY7*9tv%ws`QJB zvY{5v9GaS{My*slq%cQeR)fg8DLTd}aM^)ux(M?y+84^7@MbRd0+h~7&T)ZZ^)5iO z4uYQlKqm0#A~~8eS`Vr40g_xZ@4y(|64)rqgAAl2nmA!RX}*V#J9l0eFN%nnk{?k= zM-{~SY@&Rf9X0pZFQ=<{zB`uv%1_574FCJ_E1HOcmdeVf)w}yA9GO6Qp6s?J?NpuD zcBAc)1jzQMBYAm*#15)Yi@AQ4y!rsxjH;g%vII_IEj4kQe=Q5!&y0ied_VFXA;254 z>399v^G64oyzFRsM`$Q$=nq_aZp^FcbKb{6ms5w%Htr-XuL_rSyjnqn?>EOMwlYdn z_dCls#Ng;4RAB#4)r7Tj49mt+JUE)}sKz>ftMhHN9Un@_tG#VCvD(h_r-@51;fYk<{)k6>m&{qya`Xh_{Z6OseL0={B z|G|B{PMmIFQo6oGW?q;3;+?@_(2L^LbETyPFZZCe;0F6O)P_o})~suBV%7o9)pujX zcu$+-t!qutue;nf+JcvXD#%3AP&L4;$;b{AeX=|f-Zx%GsKU~MgF$@x6Y=O;k-sAz zLt@{a1=bRNXPNbaWa_cbHfwFLPp`C>%RLSbpzrY98KNdthilTeUFo*9d>{ylWPM10 z%Hv*O$$IeQ?*na&n;s-VFZlB;$E+vjP0P={3CC&sWNbc?5OxX?BTf!XBSkd68iHkDh zCuV{+=W`kR%V-RN7Y+E%SgRUTA%weAuFWbG(|uyDQ=o<=%dA<6^loKJ`WB#8WOL_4Syk}JXJLe_QNZ*@r|*WE{dM)sok8%ClCNe zt=M%)8l|I{J)KH`pqv0Hbff2}=9V-Ej%bH3vCXi%ML@=c;RY`8m8nV;w-%a0VV*mB z{qMN#<>bBg5jQVmglXjsa?tpC-3jZY{4uzc*-Cy{c;5YlrpI7rDHZ4*rU_A_o7RP&IEpX)Qr@q`U4ke6Q%2+YW6}5XlmjHmGH+S?Akj` zw)2_p($}gBOmugtz#Xj2n~mUgQSJBP;0HouKghCQjt8y9?=MHOY0?d~?zmj?7OEWT z1mvqjwCvUdwA_K@3*B`-NuVlbqcgEe8Mk}>J-`RtUm;q09OZyMi=XSiZ=n}%0`Ri1 zQ5p|Oa}KZ|>NU{LF<7l>5&Nd~893HIObKuN!Y0zN6b_0NuL^I2$Kv%BGDo8-*5dlW zs6(#zwWUfn!?)iQd^l{sQN$Jejo^W7ofa4*&`R&-4>OZ0>kv#aF;`~uKY)dBEHSnl z*EXeXEQJLFns5*llOexoC{Rvq32g||DUXpg76)>Na1licmWt5%oH0qu!&R;ILyf;~)5?df2oP~wYYfm%!#4LB9is8H#RJP#G= z@N$05q%tD8(}u!We)ei+H4QbJBnHy(6$1Nt`F_Z(kD$}|qr2YAhx>0aTMyKZQvn3t z$mvS~hiug7l5QG}iH*uG$d>0aXPi^V4-zO=0Jjoy&eBr;IDjbtCqUT0{(}HCoYS%U zRUsApU*Ci)?S+akk%m^bE5?}EYI!(mAQAy4S<<+P!vr z^B*B|LJ?mTRg_dGt0O819^_QBHh7M<5A?a!tOFnav07e|63^dhGAc!GF<2+UP!|lkybC$IWJ0>7$GFG92YkENK409!uKgG<{BBvr)XROWYDepw2 zch2o9{iJL;V``Lqb8v3GeyZ7n9BptBGC4Nwn_7xT;4vLZh0n5iL2j{Vn0xRuaxPgEFvA58L$ie z$%!L|&m}sA@AsRBHGNfVH0u%rVrncOB{|K|h7oSl>j;~awZa;8JWPV<4b!s*T^b$ZZ$#EWoxWS5;d2?mm zYx*=C=aI^8W$sjY0d@i;?cGs>TClr-hTV>IgU;*KyYunAaa-+x zu+69g=gKRC%=P4PYQ{D^@u2QYN@CqbZc80q51okK;S2S_1c7=R&&yZF2Ilrr?(j{# zYQM=Zm?@5ARA&+g%#&rCwd2@ak`8*d2`=sat{S%#t-{-;cFi4fu0TQdaip+?2UpLlKUyn$cEq3+9JTtSTa- zMgWGNG+&3`h8sMf2?XWSTkNndcpSg6=;9j(6e4BpdwJ``nn?cUFrod!g*3C?~URRC$>lmkdTk z#*%@%-{BfSLkFbsml~5=^B~O)PcNn&XDrSra`ESpcofOFxXNn!KbhNW$5SAIV*I zqr`!%xLtxRK+N*fNJaPxig|L>;|C8Lvc=E09mlO^ zF;YX^U`@+G%ILlB464O6`@+@gJ*K;XTPlvRNE+G!_}Re;%w+Z7lvNoVW_ox~8;R<) zuzYc516Lym}o(Dv>0!J=y%peG{hc#y-hJVj#FrXPLq6zKIWrenfZ z2uU6f{NwVRB58z9hxVrnaMc)X8!o_*usp*OnJjs_eZtnNDc>Ubj)d2RMaE^@ANrMS zp=~}%hPMG+!rM`oaIBUPAs}i(;Dwwq@AhNfEQE`{CCXC$Jiqc{ai-n6KzMTL-Z5kh zV~y$k)b>$899`e-o>|hcMyktlLH*Bz-`T2rakKcrt5LM9b&rc}!LxDg9~3rM4i{ z89l`UGGZ<7KiK|-<-Tx6o)LaCpF(lz%tiFohl0($*KT|u0zKqMKhbtZ(6U7q+(K^u zjR2sD(}^B0AGpv1<+-^oD7tUmU8r^lxwhfmWyXvq!bAig6ew=XpnDl@aaZxrXcX@nH)Nw_=^}P2 z^~kB~KqzdZd+d`_XC1j)azar%3w~2>Uj;}vM%tYgMpp5LxEocpl|BIYqlDWn@S_oW zZSwVF`rdh6Z=t$iNV(*!%l+BdB}0m0Kv6gIGZx^vV{(j#HM|8@rX+*-$8YJSv`>{>x2xqYdNKs%NIUKUxj!IVSt))!^zip%KYkx$?;t z2u9s?4rXvQkXM0n-(!GQC*cDbP9WWjc!Xz5jS^7noq9F&L1yh66evJdK5Ni^2fxMM zT{Z&pP`z+SG4&>!%^D~O$ojNp*Md}wTxpUj|8+26pB^#RNgwRcw0B+#+|)DZ#G&MC z_QX>JEkE{G@m=?N<9ap-m^qx=xUvq%R?6fQ`mjJuR|DLhr=EautYtO@Uk*msGnSY# zMpIrM5IT?bd$^no8q1*9uKy!7?M74bsdm$Prd2{gIh3K>JY}zMZCx`V*M&=Mc~(Is zs|~eFu0Ntu!BN^|0z8j?CEAa9w@gstDc56{Ew`HQqF-o zqHTN`*Py%mny<-&PKE4>YC(~v7Wh#=BnR#V`+Ngv(=YjEi7fAK7iaATj`bPO6c-*k zBaAoI-_}QULFW%E8-9eNbWlCGjAkGk`I$d(gj?b#AuBN*#xFg=oFiy~k}4pUL?}{! zX~oe8?suw1b)$F5ptH`Wzj`lSo>@Y&o6=SlKUyE{qKgr6RM|=R4#Zw}0q|_Pi!Fz( zl!nHCLSMIeS-x`iush@$lknGM&!U?{TkD!>X?5{dOsUiV7#t9;)YAfa|LX~_zOdoXQ=N>IrnNmCdu{WrNwpRYvo(npHS zzHA(a*&Tp|mPgNT$X-a!IF;N(lTCon3YWRg)93hg{<$MC>wh>=vlb~f$)7d}X&@pA zjqu4tFU+FRm%a3nY_%uzfmqR(xFc`6k_b~XBMu7*p9*iH9H|Ix+7h$pp$b3kU|ya0 zB!}Z#^C?ED9aX(}D~N$^$XVwnXXxATCp=&Dbix`2WV_n~aDR5S7h|K|^`XctI70x^ zsvo3db--4)Fp(7|vsy>a`&VyUg9&4bW$`}=1cL^4e2YReOGCiFJ7>gh`5ubyTAT&V zzfjAZ;61qwhU$S$;=XE8Z~g(P1Qs|NEGwOkBt=&up(~B*$ z$|gn9IAO)rkm`K?aPj}lKU?k=sVmq0O)q&33whC}FZOD@5LEsg807{#PBqK@vDYD- zh&Jg^J)EoW2&F`OGa97){C7$k;xyq*Ve(AE(Io3k+*fp#ws7J_fmWUye0z#!Sd8>< ziwii)_XNHg%S%EdUDc*dBS>gd)C!YZTO6MRB-O8+oy?N|g@l9J%7r^UMRt7rv=5dJ z4nomYc&)0@0McxUpU;PPls;YM%yDfcDd2l#PTOt)7Db&nA5LoNWub%i1$xhkLa(QF zJX}ph&>JIJ^|65dPk2%MJP3dd^OiaR=fbSz<2&k>Pn6D+b1lU%5=|L(^F?pK%n`n(i9LIQu@(=wXGbM7Q~(#zrcZfpS_+O# zIKh#53jsTK<^%O7U_fcjGZBQ4vJFksyZr56Yy|wm)CU({3ey%zjfn0yJJ{JZ1|E<@ zh1UcM1@D+2Gd$2H1nMA@o zx(MZ0n<|C+wcw3NZkUsdR5YWa?`wiz7KATG5|fu5SNM} zoG8X+4;qA#^^WpDWK@qEoe(hin83 z8z@r5>OOLeo>pErZ-r`x+X3I)N>YpxDrzVo13fDpBR37H_AmcGfHcv_)7vY1aW6T4 zjfiet>~lJch&do|3;~oeauPJ-{(uAAdit~wPu+GO$&h}o$T4-^FcMH!`r&vFI0aFN@ncEo7-mcdO1hx| z1(O96^W7HVqU`)PeEnpxzRI}m2tE%&gQYeGo?t=-zH$p_R|~Ud;N+eYaP$fH@z=(I zm+k)GJiOv_NtOQZ5j(oXF;#jF4^ju8`|$s0wAn(1*e#CG$pY&+FF*JgrHONCFrT4Q z$qL#R=Ut2S%+{?kqBcpD>(*bRzJ#f#UZJOf1obA;>WQNBd}9J^1?bk0`U_l!g#V~> z8ZPk|X72>W!L-F+T0$MNW<32aky#@o>%Ej9rd^tPJ>C^#t&7JRs2bS&n1@^go8%j} z&JqWOW)Zr^#9wJ9U4Ru&H%u&FlBPvn(uD%uu&mh6%g1dFmj<=&V%$YUccK)`(zb_u z97XQr19udVX>7vb7&GCnG)Xxi)?;xm)0AW-z43uPe_0WnW{tB?2mFjaXRcz?+AhE3 zs)GL-gcZ}w`Uj}tEHEFO7Ja4`b@Sul$T34QxW@KN-UI#9sC@5E;y76-PRrm>{G$jr zFAto7$N5)v!Zu;S($1H?}n(0ayU_vgC? zBGHckv1FCTnjM3$<$M-M>4lv*8+d7+Q@Hx(r9KyMHf*F&4T3Ps*3|c;P`AWP8=_Q@ zj42=VBFw`eUB_v2>Es@z`C>PV2wTEs`a-b zMqy?6;HvnMrTT9*hG1m+qhEu4eZCP894S(;_<4^oN22MnGJoHxQFp!#R8X|nm!JZH zcE%WX(nds{m4)oCQl*0kDHDf$yVo!Z$+o(=K#$z4NZ||h@-e0S^^Cn?)~pC~?{r$X z=;OMHOXN{Cc&P?(w$L`@(%6b>&6GC&wy@ae#0HZzGd!pyFa2=?GY*5rD}O6A*zL*! z<2C=wSY9#kEiZ(0)Ne{EM_ugXbIXa=PamR0rZu~L;-!u4Sl7Jy(Ohd1@36E1ml^mNG!qOiP+sD}RfaX1U@M@tKwLAAMyr#;> zPb-{APc9yy+P`A;zOJrz=^mQj`f!|7G_&#PnWx42YE-g@UqidPY+;E~!2}?qPPB7- za&`A)b%hr@FA|`0ZyWox@Z)sy*c2h}Ecyv`e~799`jvShH~(pjcx|ZpC=wJk4Y&gl zr9;4CSw~q-eO!N8pPDUh_w-2zjU%>qATw5MCbJD77BqoBna8mLlgyY;fj=gJ_U2#C zUI3e>8NHh%uyf@@Qt-Kif6`m-H1>Kn?O5||N$((on=X23EnKk-p5Cyk%M7~^lCo<8rB=EdHiA@5PHx27X$>X3-aT!b~{%o#f%gEZ#KIlIgf(E+A# zLxT4Zn9{)kF0z^LZmw_*m;~=~)ZKo!*{(kxGNTcgtujJP6?S#^=cUFcgB53lr_}D< zHgY*`!$Udoc378wj>hNenJDpFc$7&&3i1>C-pxxoueM5YNF(~v7rLcPn|B$CjW$O( z)yj{kr}A_ckIEAzFmJUZVmc)SM;a{--VpI8X)(C~gVFz-`wuu4cS}}oUw@sHxH9PL z(e*LVSKKD{B-IJL>l%@0VPpn83=u>#XNK8j$Xc49G-!uX7_(&) z@>P-Ng$}Hxzb4H;czSCUIR!ASYP;oek)v1TUsvN}490lKR)hmaX5nE+R4AGdcTE9F zkg)u0&reBg3;U@MjDh8#Cy&euMd=PPZi&>C6R3qBvt_g;`F@nkrj2H&@k}58;N&Wc z+V7;`S>ZWb6*a@ihHn}$DHHZdb)ehNnVI7YW4gzxJY{|xs8vPn#@_w4dToxatfE2Y zG3(NsqLgviIg$aD%9_^yaIUKqT;}*$kyi20imIHcFKkjN#zDkd@@X!lu~-Bg%&D4f_P zBKA098CT=~ITS4Y;`*YN@*(&~zYd(sMR!*m3OP1_j9%w%DC4tAdGHXvm`gMbvZFEcrYI;KP2n*Y1z4a(GRQcu zq34fq6gJ&lN_yC%OJ98sSR5(}#xr<1y&>_* zp%F>!F?#q3|#jja~9 zv742FzD-J|kHxrFEh@I$>`dk7;Q>JwmE}%{j)d1@7hAw9eV;ZbHO(EsRMvrySa9`XJ} zgk~%D-Gy;eX-;)4hMiKW33P(yAD~~7m=K@WZb*J8)Hk9qoVNNtOqp13#Yimn!%LyR zDFi_@hES0pFxsSqqb+_-E?QMgyOlYxyV!au!|pbExauZmt4-l7@T=pbZVHp>mBdea zk?fr9`GTMI^lGofZ8m}uoo{M$Smp(Jtl>2&p1QD&v5!I^IJ*)Gz+ex9wbkBne;6e2 zoA@do@bpKtM^?p|&*;%lTU&+AYlJ)Yq*m=v)8^)+v^D7jjkk*?#XzPG+o;W2G3fC@ zS6BW~s-5XY3fogCks%V&$@dK_LCdXq4ey^3zw=>>+{0kNXH!oEPgG8IoI`?4`DYVc z;<7G*^T{!g^^JGerQr{6sA_yXdx77O64%zwpVHRWc`dsCMJAG`TO8X7%^pSUJj_dR znuFY>rL5GwEx?h}1~LQLIud>5baVbYC8iuN`_Z$$Hd=C^$ zBek69Fmy+Qb59H86=mN-fWM!)bZ%MJh0Ta8H2!05dIM-i9L-pKOG);J@%uVXG%v;y zdTBNJE#75O=?wpgiM(|Qaoqq&f480I8wD=Auah_%owE+X`K0;7<_A01IhKm&cd`+l z91Jc-UP%RN#5REv!wi6KS;cD25vTIyU;Y9>7Y$q0V@C3XZCcJoumsRVli4Ep$=6@S zG+vI5_L8gYL+?SaX}Sb?xWaho>H~_df^?6|^z3`4&{*6Y5?!ffZW%zXHZ4+mE(F2g zG1$vOdLZ*B3xiqs4zdg-m!A)tu-V3LfWsz1?3(@=H?NU$ju|c&$TVA3uLrylo3?IK zLvRrE!y{M77lp5t@S}zZn9aPvZYTSq`u(mtUvc!S#hX8~U6p&a^dS@N53Cl&%M)!^ zonYS4s;P9Jg@t<`ymla_@OS_`l8cOPhUM^=TQoxIxT9X@!J7Wh8>7(j(z2UMMHiY+ zB0_pc^aFs_aQlTpp3dQEn1Tmg-Bt%$@jo4Uz!$KLn)Nb#1Eg3r_&_zX>>#dWiV_)c zl(YTLEi8(0I`)e{E%1h}5W@|XB;#Q#9J{MKm{yo+ObQCBC81V22`?m_MdJ6Qkt`JD zUi!<$L1_r1$8(}_@(%HL{$L|sfm&3l9C09fEpc?h45FFUZAIl=bG$LWL9&JE5vNb8 zKy$qPGyxp8=8L)T^p|F1W*Kss5f zxuMDAm(8#+mv?!vefS3j{jAj1eR#pO!xf>ix^L)HH|_C{{@PiekGw4a=Cvtk$D8`W z^opVmxT`8bH=X>Tz9A8+a(E@frA5()Kaus|^8YXFjqc?v@NaYkyK&!rR9AaGj^w%L z+HJtkXDdua{^9Mp=IBNIbn(_q4DzyUrinlu~Odc3ZS6ys!-G_MTDpe?TIMNb#IaODUd}Ij-PYa}Do=OTA4xE^i%Orym4PX9Rm5bI6%_A=)Cp)u zmA&V&!Yej6hDx4B9@Zd(JPEWq|IzN#eioiHyPh zh43ZUem<9H{Zu&rJAIIX2#+IDL<$ntLS0E$_a`3iLMZv!ccZXVDP2;YZ+%-pm}j_# zMp&1(FG&MtBE_7QF^*j}(E3aKi8_30ztxm`p;+nO!3`q@I&bPF@p@4@H|K*)a(dKTzcC}M=Vov=^6+&j!+C8YWp6Z@PGB;zO-+Cj6p!J z63~8L5vcrbfYE^I@y;~(K|#>inpuO!quDCXfERBiMy7p3+{!uzpQl_1+4ldWzKW zdZ|U2R3YYtT(@woddlp5&!;|Xgaib{*ALmQYo9GZLweN?yKTQT)p7q^!SH7&H^HyA z*6S%uDZGUo?@EBsm6Y@D03gWikR}EGo#FfufVfVc27(kDm5!zx%D-YOH-49LF6fF> z=-}HF9-$r;xAsf(Ge2KE)*RCvi7$N7>SqtMrdS_F!iE7AY zbo!cW<*;)AJ7q$9#>erA8sq%+%S%K#Zwe0zal~hL?RbKYgpe)XQsRddm}PsJ8`QD1 z&{ub`&oVsYfON7sd=%oMtG%m~8wm0y2){G~G)U3*Eo#4!ne)~odb<+Ir62<<_;zm@ z#+0XJ-n&{i(`k!T!f%`LOAs0V(LezYOIOmv?ON|v9b8{JPW%2hpv#xo?K$JHEcVvK zL?-LfrlO?1lF%RUJwTnl!T&wApHlmFzS=|F4-s;IiC!yf4}9@yoRT(B5t%dOOb_RW zv_e*!`;QJ%(%kS`@da3rwT>2Axi?ORI*2o_0Su)+_E!=4BzlgHZm<8-Z$EGcDh!Bz z*UUo-W!~_}fH@xhjLVpPT$vF3KI39Md6~qBs`%I=d5me{G~!wK)*CVYz&kra1fhGv z8Tsc@g7!H%H0vHbBa}mg|5B+Gym8D3{mEU~I`Or4wDX-6ga%W4eMM6os=i6vLXmC{ zZ$FceQ`5Tz2ei&(hNUExg#2b}!!6bV&_{Tv4*t>HUzQ2+6^8^QSAnOOj$*O~yB3U_w6`NPp3DlgCfS z)0EY8X^v$bISyU-5QgbE@iT6IJmNMHT97h6AXEol6etbk%Rj-!UVfiS8nU!E{VI+g zxt}RN4Lxw)sZ?-esRSQ2gmb`oF;a4Ol}j?3$1@(V2$kBOU&XQF3X3_BQdIT^W`pg9 zsO<>Hr?fv8Y%2W~+J%`%%d`BNVaD%ZJte;dlDjUQKewakhg!1edDtoi(BA6Cd{g*B zMN`=jgkNu;Lv8~cBfYio=g_$uBJtWbttUNq8WJ0Oq8k2Jxh?)`YLZEq3Zep3l%{(W zLCgR5M`kakK2J|3S;)8yBirl2MFa>_vjB?rAgRPcBkK`zDCvFPhl0zZ5H7$aIFmo4 z!JgTcL;VvljEs_hpHbL$i zc)v@AE0-SF*&>D1=kII|7b7!F;E~e$D#wGA9CWY#{1isx)OfIyOjJo)fALg5-(QWD zg~)X|T?1_u8~D-5Zhb;%MpJh4z}daL+sA-e9sC!XS4fYylvyS8qUI`PmR7sa8#>9Qv zb2~u@I&i2s?N$%+x$ABmRqR_deQJy(nxEFEWqf$Lb@SfSX25?Y(@}eiF8R$~{IwkW z)`}*ygg*}_}Ysy2cef50EQI?_tRBkSI7)?Jt%jZ5kl&# zxs2+^!xaaK+liyH^cN}_{*}y&0`owG`^4|%V%@(&fngl~bpCkd5WAU_67K!!LSeNo zMr@N&_vbeT%6LIfLcNj)b;W_>7N#00JJp9w$zgW+Bs3ln6TukWVkILQLeiLf<<~6e zj#2SJ0EDLuEUPxX4TM3ECspE;=D{1BoOMS9cRtBaM+uv8KfR*fkrL1AOeN8W|J!zKP6gu6j){qoM zBH>+vC<9ta^`RtJ0`XKCh>t&N09;fS`iiZf!wt5Fo{qiUstepK7h=o=TRP17CtSq~ z+%JOUP(1)7ee4P#Tku*Pqy@ONg(>#V-mvXeJW|ankR{83{Mudq3?`AUyfg4N%OYSfR(n73UU8wMjr#Rm#DDXhx36FU4TACa8^$~CfHzRgB z?z@%7oz78QC}gPiQdE_{MR)E$3+R4iJLY00I;iUYgqPFbZt)f!@&blhOSG5d@L_;q zzR>iQ$iAv2&^D``0ThnXtaJ@87VmsLY=#S#AHMoe&-- z@)Jx^K?$0gr2;8Sf~|-4)uOCXUNDT_=kMRDL+jnjAxX?0)l>zH&nqUqI2YxU>r?8+ zkIcZxslnTFUVj7v)|~XMJr3OxtxW407Vyerc5OgkFydwIWPx z$toospkv|1hV}LIK5Zj{rBg4zl3lf)??n9P2*qci({l9?lwg#=sM8@|kL(@QxT@ao z0dRy(TvHgtm$2ELNF#`u{>$MZW2&kd;tfkF=lSz*f99NLFu+UAMOaEGq1PNb%`w7W z(SwVU4KWEMPDkfORgLHuAYhJs3Z0Qf9?8BdLnsYnsnXnjl0L)SGyb;#i_A;^Jl%N4 zaVm>#Zw$m-+k&uT3I1y)15Ks`b*I~tpXE=)*Rb%uZ48-!%=pW~ zlTYQsaC^{yt14TpAXO?iO6=RmjS7U6j12Fb~9)_F`6%68HCM{ZNFWOt=>dWwK)ZT)}99 z_5be%>?uv|!apXYb*@x1Ni=_G20K%*vqyuLjG&x;>{V7+9PP^QE9vru&A<4>@8Kzx z?v6DBST=mWB-+bc`=uvBqZ~gC+H(USENTUKB5)toA_ZG~eS&*$o0iEoxz{-_s4D*$Q|nq3WjU zi|BV14vKLpY&kd3(ec$T3okZxI}(Ex@iA|V8?4>7uO~+klQq?X9x1pSixA2fX#?M}Mn_o$-46Hmr6PYW02BP-i_Y- zx(N>QBiP!69y8J%5lGV8q2Qk!wsL-tK@4CG1e%Afw6&kErDZM z!tFE?)b4lbhz;sZqW04Htw1?8*;P!`%CWQTasfL#4x}|n_w!F65a1LW4kDXSSE5y4m>DKB>27~ensZHJHQ&r9V>MyDZH z&?^}@F6hjc9F?%w7cYZY_E@*C=E7`>=!G!}yegOEyM|g;Cl*;2tQjCnNk>0^hGq6% zrp^vNTuX|gSNbrl_Acwyxo9(O;_R6us}KVU)PNSqftZumX!rzGL+J1|i_6AC4SKB*lksJ4(#jyir)?Jw!rWE)e~iCd znSIrsGr;n;E9Ae&WBW5kMFaUz?fp3Uo0U@B!orr)Tm66PLBR@eZ&+4I z6}$8dh6>B>JDutdVcMvKI_@%hsbvn=%6*{1w`M6F!Z*c3r#1lZY43X~d+@z^p2#%ZG&H+bpR!>kQE?!6^yveh*(3O69#hAZ^Ph!@p{a{~N2&gN zWP)zxeO3_1M&g>o1u_tRoHaN{KR{NSbE>9-bJtddW6HsYeh#*x8E8;e2n3zz zNwTuMa-aGflV@Xpd6$!6U%_-od@9=-kQd<#uT@qUf1Dm_TU{aSqYj|ROc$<2MLb+L z$Y%`dN>>+OCU?iZvd07=#{Rs)35mSy`%_HWvbDCzv?|;8!$k8o4Kl(4nhd%z>M77` zT9OMTT&RtDD)J{;HH%=QP!{zOc@~QnzrDPc0`ZR77M_{gv#qa!1nd8pe-@?xDUt6^ zrrVYZxKpi?bfDP#vAxarX)aQq3jKTH33(j*j8x$jLe+)T7>yc`_4uS89m&dC8PkWe z==cGz2btJjg*wk4F%C5CO!Phwju_~v8G>US(K%#1{lAxAv_p@~e!W}eo_z`i37ET% zWGr`)jJ?NZz?%0l3bQfJns?%ets4Qriq`1ux?5P1I8edd^&7&D{&)q7C!D`Zn87*J z{1f-R=TeKqajLCqm7&iJW@7lt?|-*Xte7Zqo3R3v97x=#T^)LGii~SZs}`eXk~v;#8Te z`JCV4ay{=M0Y`#`7S-?&#;clOZIO)B6Q?BwJ+!r9G9@G z?ggK^qB+f3feLO(ej2l??N>kw1a!lT4(c~tlbsg3bwveWjO8YLE$;($`|ss42k82n zHqUf-DvKwTJClDv&%4u6)S>a42m?x9pUASSefdFEQ*&ZowuU1!73o3AyTky?@yXe4x{|ayP=?3$aQI&q9~=>yfLV7T@qp zy;?GMunsZY(NEZyoxh9{z{31@YdF)J5!$BNP26}44F#YcyF&mT>nk2VOy7s;$dugu ziOfhOfbIt!OgkAJ)SFAlFJR20TLFl|Ni3#lehKbe&hS&4S|a@Gv@=@N)p{qtN8fm4 zb_Yb~7l#lI7ENc3-9*H!J6jfAL9bzwFo^{QKNl z5cEE@>(k|lmDeJCJV8+Ed>>SV>u;0IG*waM<49;dmsmGPQ>T{Ar)87dY#~ZR4*6FG zG|34vxcy1217R?OckJKkFZJ+uR&Ka-v!Mb18%pUx-*pEI?6X$gX%!frlcLf zKHOUCyzkdAqr>)K*z_*jkgAV%LtL(d0%kZ30zLiyHtg$CIR0gS}eRCkOgnmnDB1(4`F~V`WbyjfbR2OjV?Qi0o zDLWpC+vO5Qt}HIJGrIuY!2NicrCjn=8XN$S=ZW7x)3@9u({4w>=^?noiS*byLd|05 zQKQ;88jceDP+>4BZF^{z>R2|Wg+Ta%Vymec&?bn~pv`$z4^j6FMm8_T5#`+^Vd+C* zH|qWQ72zh&*rWBKPcN^k4+%vfP z{0E+?&Phhy%jV6P)>v@t$>x!fgosuBFXbWHkskx4DOIlsAb~(r4wHf_&^-7#YcwV` zEz^`r34`%r)Dlg4ofzkf8Q=-Y2dLJQBPeoEbsx_{9?@1;`FiTk_QtLOShb{~9zXVHT)|gQWbenF%gk3KG=oy$>CdH%w zjQo+Xc?=zFRf;>^6?pPt!^L}waE{P5YEGcHPpcngSY1phb$!NAkm3;)U2tO7s>wBN zG&rSL@q*|I63g=)v<>$I9a0uQ6_h&ej#!OY^;^>-xz2i_RvnU=-6hUCpM6FQw+6J4 zgg&}P3?`P#E z`N3(xk%EiKC%3F~i9Af< z(Hk6|rZ%!gj4legcCb9yT7fz^6$doGIf!6hmH9Cf7Z6_DcYKh$DZsrDOqQ%OiS0YCU?ns^8{ zOq+=W(_Tf4-Xo8{iD%)CvAy)M+|su(JcrJ13!r+|zhF^bE{1g^soEcpQwl@AlST5b zDn9Syt6pttin$?m*8apyA+9`E>*3J><=_MIZsqWT zg6;Uybv)ZvzV4e18&rWIeS=C%oy*x#R|cs4{&*Y|5Kz*%mO8@kTVwqUZ7{kcHs+QU z!9@3*HFS!EApJ-s2SNp3dhrPyt$ht@r7wje=1{In1K@9OBT2EEBb8$n$8wC0S;hmW zRxTmc=1>vU`c5c!un^F0CmQ4(MAw>;St<)TyJwvpoy~0Z^c$^=ntP`rOuL1yVy_F@ ztqKvCMRc{uDN)y$7fWq@g)m20c$7Z-p+rhyd+)M$zeWVgf32nN_o8`^qtMflBO_dS z+D;e+MM1i0#OkHFtZ$*@@-PVK<+6RLLavJOFu~Cq^U&SC%%ZkqESS)I8H|lhIkQP8 zozK};bv2e{O{ZPf7D@;VXn~sR?JDd|9T6#Qh@O+n{#DO-y;j#NpmE1)7D@QO%>Oxw z(-m1$Dqfo?#&h1QEJmbff^W^Z?XkFXsq<*sx9RgLwy6-RxwEzuq|3Z9?oCdJbx`7T zjNgo%pC4;7zjtE$5gKeI!d@mufN;IebQu9d1h}PL)qyyA)vzFZq`66nh7P~|jysSZ zlJB*KKpZ%~;-;$eQ78`6d9G%-7%9}<)!(P|+^GhYulv_XhsAoS-!V6bfnwB;*@@<_FfRoo zo_`e=T@?n~ovt>b3gdZcgMh)S7taBiwz>1|f3fa9*uQ)`z^jw&P?kQ*Gl7nF)^`v^pMOTRz!}$!b$*^P|lYfHR&Q<*U;NMJ*TGP`Gh} zoM3-NhbOJu6%qy{%Ote#Ggm!@@@9$wrw1cpVp5#Sscwf+ei!>Rk1QHsB${^i<;)M~ zh`#RZ`s*&CCbSoo)YS)F`c?(R*@B`}$-E!S_m50gyvK_kTNY!|O_5{VHdgI_|fm+vS@T0MCQP4 zDp_-nd9?cwxRwaVH4 zXX*F~c5HK%gqaBVex=&_#Mm3dx?z9u$HT`Ui`!iqih5Gb!ZIVk8~MJ3sae z9i(VKsZlS9^6}i$8~Y^X;B2@^N>ZiEqO_KMe=Gw1Ov_z6`rq<*jvI!UtP0!lI zUd>7Un4QLBHX^GCQVXOuqRLY2%<98wKl6Oxsk|6WcLjf2k0DMVN|NwBzcTun90KH- zE9ylnnX+CZGpIK#m*@3cBOa*fajcFl^tZDe(S(KbdxkduI-fjeSohNzP#qWiENnOd zisdRZL5#4}^{{EY_~szjSpK;%v+z3=brV*u=M!+@1g1Dwc`a z*u)$ekoALGPhTRdaDamKcpG`Gtgzs3;ig&KgVKJp)z;(Jc4aMf&ldw97bOR=lCnjE zox(eZMrkN`Lp?QvT!cs?9^&moJPnwGrq=G^Kgv;QgZVr!2=7%Y?UnbVCy27Tvy9k& zAUK3b50?iF&eGqAz=PwOPEVEC2giJJ#sV4z5-C~1Z1oFlgJ24*L9z_lNZ_qXWk`l4 zpMmkQm8_rSJ3&cnR5C+@2}sPS(X#;{#QIL?RI)0a$Ku^?{>Fj8sO_kZSt=OR4qd`- zmxAO=&Uy;*+PmOfo+GnG91xZs;99yPXF+(rg)amnh)Jg}YGl(lns&%v4%2XR;Y4E) zo$o)}YtW<>EotVa3dh%dx+7Nxm&tyB_cN$2jgV~BVvMpzY?OTQ#i6E3m_?cT{%^>h zNX^c4z4+|i@|BG@I7lH>sHRlku@Oq0EnIi~chD9IH*({E*5?M0EV!s%k>bH#CdTp+ zp}(GA#$Qr!piTG_ePqxN3mg2q_)A+{J?IYYU~o4>HJgS6tOOh0S$1-Y0;%;GH;|Wt zJQ#~$sQ@hf#B|?@249bpglam?zd+rpIFDUCFF|ALa65A=;w}9drrKaIx3QIu&TgVP ziaWv!8N&{@%g@qkP{ho+{LYn)oK#xI1dyXJ7UHC?eGG*DNY8sx=#O+suj(20$6}SuTm)wroQ$o9O?m@cen=ym@+9(Sv#A7BjMB>veq$l>0 zQ4|O$0(Z@7IPBPw84V=dl|v>@sg__p&&v1cnNdO|GK0C28HO3g!keoiJT=87+jIB)7AcOyd$TO;yxg86G zBQkxqgMuL`^U<#6i$#nP=}k8#ObyHoKvJYFN{-Dky{?4JR{0A{KZ&!^O;R~wT&aeZ zq3}%Y9*UUd!K5+-cnRNa4B-b}$57hpNqd`j_}+BW1tF0$u8IVA%Euu5VOEKo*3iPB z)2VT?k!s=Ogwl&VGhMkk`B+j8=)(||WtNx0IK~GF97-jlDDM`kQGzSK$)4KWzFZQp zvppPbr38kUV&8S0aUrbz$BcmPI z#Rlg4yk9p&bSQL^Eu2D5KRq0H`)w}EXDQHo%Aq6QH`|b&zb9FVDFZqsNC2}bJ?ak_ zbCUPT8=mqX$i^#!XR1faU%eN*>gU*2csR8wsD{H<5PYK`jQ~Oh`aRBZj1-n%d{x1f zj|wY>Xv|kq_IbR3MhA2tJ&;6A7b}p>Pq?chkvX}%miu`mzGa83XW|~Y7pZHp+TD!*)k4NK zZ-%vAoxQPT)3UuUA#4;m9YzS};~87E@LG9%wm^dpZ8D}@jr~bjw3}?mTu1xlBEQ$S z+iU8QuS?e8GTx6^BBP#4Se^=pgY$GzzB^jr`dYUF8Vfakyn(r)&*b`R)-_%p_qCE| z<&QLWSP)G2|5EU|9uSlc5l6KvIW=5P58{Nu{S4pB-*G{`Dxtp~oYX$DPyb;!#b zI{tg{MDSmRfLX2%U33bmtP~sXPB%!fCbMx$J~)HGCT-?yILi(do7nhd;r|244ndg`(m!;N4D5}Od_!HGI{8JtD1WWC7MTdw1Yl= zKxf$G08=eysaZI{jwbK=CT!2Gi-m}b>ii*#fHy1j$z~hj22}xMC3ubE0%(16 z16c6M=poXCqU_CJ%gsarD=g0C0dJI_IPBDSR`d))6gdtiksBs^vguS*!R9;p^U-Jn z_{|@>?)({7aFMIetfig6$%=(E6Iq&KAI)=}5?(voqg%lDOwfG4P&Y<0rHa6eR|?1Z zTi9J)gM9ZW9(DHUHMwI`gq+yWF+dVMSN_|#1nF7IP=c^r>sD9{MheI@x|Iq&`J-$i zUhSN5H-~9uOMYHW(ztTjrL{ zvS7Zpx&U5Vfy>l>aPJSe^N@y_x?30^7Rn}q8-E+fH^!h5zglc991RRNAp5UtwJ*|S zRJA%tjw>P)OZ3Vl&J;bKFYPst{;$WW8CUnA4AJKDo19MaoOYZd(5_MKnFq4%H9U`4 z1Cl%8n!R#+BLQur6G`dB;z1oZN4K)i!Zl#?w5ndBLv5sXar@jiNK3a~CNLB;n8MHD zpcznS&HRQdYg(9p$Ytq-5qByfNmrR75x+BDUDql3AV49s%2c2pFEpSS$$+TFgPrc zLTKEoB!Y8@Eg{?S?clgCk~Y}4E4x3m3ot}*$&wK^r4$dY(za4dhR_^9**D`uU zNl#=KTg;|8qGU6|@H=Y(vJRDa+R1>ExmHbM>zUw1iwM>>kpULQS!Tbb9dv5 zorP?^m_2w4n_A(`ECv0kg=TrjURU#Qv%_(@h8MmzF$SKPF!YbpaZK#GYS zraji+=_$OXg^-T9enwT99SWtO`rTmZ>+PE53`ah1!yaSRbN9+sH!V7GSVpW%=2bjM zcu=oh@YK6fr!VO*anEDIyln7uDj3 zJS2*;;GUJgtDRn}t&28Y#Gs!)6g8E5evD;pbo;ozpLnByRq}=TP$k3y)Yo8pDe zb9(81LA>m^{~Dh#tR3HG$%~E4Lo0zJyK^ZaISR^B=}CZ4QZA6V<=O2Tr6;BX!9DPH z&1f!IeC?#1J}ShD-)EB< zOS*E-hkW)Z?Ti#4va}btrci*^YxwMZuVAb#XLoLp-xd>cMBXqE;|@Q?0kmhLJ4Cpm zdSQh|MqF8Eb+#X1(pr0tos6kL^Q3ocSO{$1&Kgiv7RT_;FBwfmtsPXiM~A;dZfg;m zUUq%DL&V%?l&=7HqvMU=L@eSFe!HLWd%NZ^uob1-p=F|zAztAOU+5=axI zsiyo_ylBCs`C>1VI5WhAJ&?Jh>PBLpKsXO;USr~!?rebCf?SFY5F zeu0?DnJHkXeVsA=oT${FVj8&@9Be?}K_L>7iI9o}E*G^tf&82Lg6|qWz+cPcDW@yU zH>w{K;_%L8?eF2zH}jV(hUINba?uNzD)P>tTFQJrZ|dO@T8oBbEeNm1V}dXB_2%~S zPV`FcOVvVH@{hi>#!uE#ebN-2yImG;*Cl5`U#U8;8MKp#Z{N61{`Xf|`6XFO(ZQR# zLk!BSb8zm_P~vl)V6Ogvs~9_F@T8f~Ph{g1*!5W9cR&^%XwxV5NIVP8I+d>2L{{ST zjcWXfeh)$U2#*XKKB^Pw?DGtVsGy(t3H8u}oVcY84;MZo6tbCX!vOWN#+$)7GS;=N z|8UJK3APJX7Tpki%z#Vo4W1DxZ_Z&@Oo1Ut{ESdJmB+#mF=nP$u6MFKRhdX&NX)Od z1815~ey3nbU$vL8L2vcAS##Z(9jRwh;0VuQ_(##SrJ?DfjXSr#if`h0V^Iu(3rb?# z0REsFL#3Ac?f=b`g7zz2!F8V*hF(=D_fTJ<74=!6%&*QbAPd7SmirP&cYV2LQD_M! z_|AM#mJw-koL{aP}N z-nju_v6lPXyX}CG1e+CW8~en`JuqX{RKYORHAh=b`VaaJ-+$%iTG0gtrfR;PxIKOU zy(wzE(N3LOwm6*($|tCK@{*-_)od!;x11d2pZ>6>8nJzDBdb-8J|dKWN+VOAL(f$| z;jhQ*EcVD2Fo?D4s12)9X{6v*vf>6AVMsAh3kD_m^Q&B%1g%*#S>m!u`aEKo@wF$m zPA6(^8kid`&DVd!FwvWn_5bz>bXd?t=l*m6HGc%xx}pqM@zsEvxM@pcNMuVa#n28p z2{BFtDp+}m1F1kmcA8r%O3r4i1y+7Pw%(@^B}n$OLf^_P3g6;v zN)9;Domz!;FLxvF_#*}D!jVJdBO8TC#`G_79ZmE8&o|r*j~E5<>BNw_zhBI&aeeDe zGq`Q7&BlB)Lpqj5j13l7ohcNtn9{iZht6d%-H1(!+PU=Aqb~E^eFpp&(WVv{GN|~_ z2yC@O63sAJt8DEUKMhdn5SKGKK(w;2a%>+u<1ziS`{z=Df52GB>4m)AKyPe#Rava% z3~3V>h0Zjh4uwG{el0%wE0A+JKRR$rauotJhx8@Id1?Fa(aW@Oh-5Mu5N4Y*(co-B zQ>e7HPK-Om0D(1JGSqTckR@ zh=9FX#~?N1E(h_tgoUBUykW^EBMk#uZdQ)-R-UFfnD$KlQo+r#vZ(X9KPrTkm|9>X zr?!y0ZVlJ#+hpC3h6$`uKbOMzMb3XHpmLsJ6Ro{tC*2re`05gIwOE5siwVM#*`mx% zkwylxHv|l|EF+)T8w*J` zB7L8XwT;tK%11Q^m1^$eX;~u_2Co!$YXiL3C-Mz^i)Q#B=_T&~@6b1_9t`!|h<6p^ zbz`s6Z@c2>OmdX25Q8JIgV6h%?3?S&WA@a-T8B5y>nA+{1{!8XDM0yliY65Ec0>>w z3fN3F{I})nWmHlu{XzIoWj!=||08qy@tviq-KNPyduXVnTsX#-h1Pf`8B68M++pGi z_CPDyV*{0k&eg<+H6cgt$(CHp^SEYE8+kXe3pWa;n>Zm)zeb6Vku{w zz{U(6Tfm3`q*&|LPDI+p(EqCm+GrT|!&!NYV7o)aF@0h)1E3uff9ExA#eTaxweEcN zj?f)fPjC3u#ga^Rt8y~g8+@OFHIV;F$DBR#(0NffN4gA-I z;=lvY?Ly|4|AW~+d?1RRTi$jpaW;;-QzG)AgpR2htJQLOC419w2#+SUI{#ovF*F!#sdv#Ir@&UY29x=u3xF<1Y<&c1;Wn1aTlb*sAG&4lR$GN`Tc+k zaMj}@7*GWZ^72%cRGr3fmjMc19j3XQowl?u%!f9W*^t2ZcVwX|j7ZUt>$Q%OBZWkU zKu5K=6ZJBiWBY^GkAY!V)Ox#-=)^~O%l;%dY8B!Fx^v6;ztJ>)I)t_YA+F8}h=f7; zIQ-Vgr~E98hJZ0<;_FvXIgQ*{Bq)(#_k*)UE-^3pRlTPKfF7PQr%g_*P)EC!Rb|DPy=>1M)=i2?_jY zgG_VcvmxKXN!Fa#F?hG~$iK>+k#eg#Oav-e?h&tB%~ltlLznNZgct=klyWQlLO@Bx z%A#DhaPF@8EoBaUU5DXvz*p_cMnL_1x1NJG0J~GbADY0!+^*sJXyANU+$Q~7q*qDB zKXx4w+1!!20I06x6vz=rKa5^qyQft0iQgiKIXU#bQLeIP1a6@zah3&HyEZxdaSB!% zQ=p9l33#&mD=vsqT3HQb_eaDW`RsxsVI!F=qy*&thvvv0-5G;ymYZDdNq#;vr+v`7e6$k@EGrxP(HW6h~==YciAR~}6pGP!oTTz>Br<{yGaHSaM%NTMmJ-e{meko}$oLr45c9heeN~ zARG)!%8-ICH9Db)4$cBiRPEJVXp^CHmq{*LUn)kUPjrvS(0VwIz(&53i*#A4WYtz5`9h*jAR|TZ5!#`iLy5)5PvO zaFU$0kb4%`9>x1qcn6fP9H-u>h7JMW5gkOu>a{vcRkR+#2MT@{*N(o06O+}N7LSc_ z8M4!ocW<4ut~-}_~f6Fx?O#8|b?EoYYp||JND*{LSr_o_1m& zZ&`!nI__+)q3$3{+}M@8!dwwh|4i+JWKRy5ZqIc|M9Vit z;Jc;te9=y}^;`;o*yd?T9ezRd8Qgs_rkPVbm<&f|LFz}8<;u5kf{#uh;Q8YCm&sD2 zjpLBrcO|@^EKcryP9AJ?ITm2AM7!r6>6Ok&vIKLzK`|NA3L^t5?&?UTXVu5OGz+`n z!q>Z4{&c6N4Oxt=ledCE-5Q#wh_ON7E!O+5g^FL;Xx z`}6LFC(GRUk>LtUkk#S;7jg4=TtMet90|+|D^M-(sY^A8M`aNco{kzV-4z^5{3U1! zpWm~_FGhOLE0%NlSb^pD#5VUn>c(ZiT@Kq~0NaC?El%^3(x%O=K_pLLPq?5yBVbvu zT#E+`ANz9jPR+LyUX@^Wa!o?EDF8;~8g>TYt9V!!z)(mpE%vz99Sp~w3ADG+h9ptq z=cd$i49Rc)vhco{Fyq1jphU*^qX-F-kF;Lzvh#$OjWO(T4%_w*AU=3GIvM460c@j1W(M_TaGO&% z9@_1h&}GXs-+9&bHeCeiXa*Z#sVdLsJMrX7NnEc_Zm_n7%r-5OvOl>wGAtbaIttV|V&kfwcuRgMJ$Oc*z?iIqiNS)86QemwdCi$#m;V54 z?*1e~0VmNdCigI~jz;v4>ZUoH#Ci2_^o~f0qF8XE216$fx3&_e{t$J^u2d|SXXg8h zq&GvH>14v+%xCrZ9|MM3?jV?kbVkI0hpD!;@#L<}pZ~jG zCGA(Z^e2fp{bO|umV0{>sva%YzHUT!7x|TF7lWYxK1MtQ`?3>+EH2$@OL!OlWLI^u z)HUdh<_-i8)BfQ#5XwN>0l>;p5ovs`7TDr~2NSSBgeBL0f5HfJt_i=#`n?T@u6~E0 zJm*>T<$ZxCPe=g=4BoU3moW$()%UEB3Ln{PvEt0Kll=@KqE?z3X9ev z?7mQr1EWDc@<$=F$hyPq(B`)5BeRSZWn7~Zgu$Gb#j&!aDlyBFWq z8avmtH*>P=*JS2F6Royctr_k?M3}wN=gDZxBVAZZ1F-Zn+{|P%tUinp@*ppC3lLCu za$ehO0rT)m7C@6y^Ulr;+^eJ|d|c2wAPCgl7n9zzcVbUX&6iAGh06LLQVBZ`ja3C0 zwhM^pg(e@tI6Zu&3cy&t@VezX=|0<*pg_aPj%BO|&|49Df4I7QpHbetzkFs7zqimS z%1>uOv08C9)a4BDrHAn`Ojd%k-t9w`Ek$@)dyb*~OqOSUd@R&r!-}*tq^l*kom;WG zn%PMJ7TEA0dhrh06`exYH4*m{dYC~!tt~pgJ7E39U1yQJga1d|s_V4wl4BWp9|lp>tJKuD^r8TC>q75x;)x=aQS1LbAMwCB3^UEY9n zszV~RCuqO{-ngxT3_aSl+4HW2NEG*(Hs^zMf91Ld!~cdVlU1!^b>4M-+P5JG~&Jck_ue+jUPsyW7-tydrn^TP#y*MmKv8raHZ&alDOK0v8p@5o`nf?I{(aUrV{!g9tF9IUzJ=lKt zxr6uFJI*TjUH0UEI~VS@ZWF}w17-#z_LNM-y39O{y6PNg!&;1KV03A^Rro^&(cUN~ z48sc4>?!HwW2@OKOHr)mKXAuI6Z27CBNX0fG4_@|EVoi6 z34QF{%Gg31vz74aBDp8e1Bq4mYMVYUiM12F~1D6$(_57+DfoZ}g?e`*152 zu*=J%?FM`x*LlDkmPZ6Xhs>cREins5ih(q{ZW8st=FcYks!4%{ zML86Jc?8vybt9_}VM^`jhiIYA*|IMDjhnb`2`xEYj5|r3M^)?#0-LhaTw_4ZzzdbI zU{!ViFzO%qRH!u2Ds%YZEj!HGTxyIhf3qF4**4T8{ar&C+OC?LXpSHjhBn?s5>O`$ zQ-1qBgr0G3aBN3c^VmBhMCS4n#T@DgG0u&0C$~~lf$a*PfIMGtkz14OaMB`e#YUZE zf)8)c%rcE5%KXQO|6i*X8e}FO5r$Ia)v4AjcYec5-B+=xTh5rmKuWhCgpj!|jbgCv zmv=mZ^B}uK*K|rKrf{lTe)>`8Sq;8FefxT5QdT9+51QqPi<=IG4h|f{Qy=lVQwH=R z>8txK4RA1rfeHv-=<93m7G;2eoQfGUs8TR zh{t4ne`hG~2;+Nx zHW@vyEt87%55>t^=H4wZGgH&l{Uc{AC{MKxc0_Q!YSnk{wNV#TegIjro|ggKmJ7Hp zEDNeuNHn{FsFL?tbYJZR9-oY23|b4ccSou^Yc;OEBWmRtpqGL>deQCbYu%`IxZ@{p zcJ)qa5k?$1i&+U`tqi7UcdvOn{-G&Wsc#HSi35KbCE0+?vZh(`tDr`@Mwkb13b`^R z_*9Tdl)b(J3P^@c-;40pL_i!Iw(4?FwifXRA^e9)V~J&zh831(v^>zkKs5m{G$~2W z_Rj6JHjMSiUm2W!+0Nd9a?wUsH(zA|jawhv z01%<)%~P{!>rD*v>ZjgG1;ImopWA_~ zC{Hl462QAffgijl3IQhoFdr&{_~Guij(~|mJ~LhhGfoKLBy%cv|7fa)uj9n6Z)-&X zc6N+d`W&e=2vh`#?L6D$^6dqRCpi5RDP>q|MO8rLB8cctv8aBRh9+Fv&TRY)gbi8g)c|vIO*B2w97f~6wG$c<%j`%Ad@<<=zpw)(JdM)IweklH4fse+VQeE<|{nWg2yjv zgY&oSEKO3J{VO%bw7w`hEa|g2+f|t>kH%&fN$j8IoT2jfPM8mg%Y)Z0Q@i5!Pt3zw zFBXQksu}lu^bR0lsnJ@N2N=UKxr*bT|CT;i*W3r$G$PB1C+*uG{zA)z}509Cs>LP4&Q~ih}Ei{|3KdiOHHqCLy>4rkrF3vp}c{ zSh_^*Cr+(+%r=z8bVq1bER@d$>4$nn0o}6+8vLgjFTLqlfu$7}07y*2nN)KY2#=NH zLx&h^Wm-t5@agmlwMy1f<2pwthy(`WF<089pIUaRGV5^tt z#XQOjm-!%!fUbXoCvFxKN3(ul3-j;ta_Yrf4y0md%6!L{qP%pZXYzw~P}N|476kre z)F#1y!6xWLhwpazEQ?t*3e{t-uxh9T zUlZrAjPX3xcGt51%H=ADa&z?IV>_s&#nZ!^pYe3EroIf}11E0t;ynv^P_vG2#SG6& z03#Xl4hL^~;1n)MF!^tUDhxTeY)1*LzPa<6_yO7BJSSgwqx|(iq8JwpX6tC}*|D5u zOQPyP&X+j05V1S`)h+Wo?1jnV8LRrbcN!ez#!2AT-eMD5hJD>Zpa{3)?1#;{Jy$f`hhh)cMOxm zISyE-t%tTJP_5fHBsLRkA?y#@rjjbrvrOqpmnP?3Ix|s} zunwE*(+S;DI;RxwmE$-wB%cernNOeQMLsIYj%vN7MO0q##r;>XuUiz~zg+MYo!B4j zTMm>a|9N-GZC$H3qlHGpBDHlpVEkxfN1_pxMb(3Jex0WuXt3OLHGp2GJwl2rp_Jn| zDqwW?P-@`w7scZ<)>6d(?#PEVQjC%RZO9hJGvTr|8esIVVlhKpu!5=U_oj>Z3-0P) zArn0;6hdt_HSVJ-z09}}bNMrG;3@C;HF-75A;hnzA)TZVsa1IOD_GH2UX}ahzCS?_ zFl;0Wg{rY0XE`h_!ZH@h zBU~S*v3WJfy?byQ;&~&3i@WQT1N#sWf>%)vbamBSmjF})Dk~Bcd#-|5V0RH(9}R$> zz0m{cI!vhNuWfdX@5Hwz#Ml;mcLHY-YR#q@q-T>q5p0Rc)*qOk>diDJVwC+?L+W_3 z&aO?U_neEUI+*Xgiq=p+Am*1)OnztA8`LXg4BmwF{9b`GK0c;Wj{F6JEi$7WIS`+9 z7fIlUp1uxKI_zLbicoY-9!_?$X>d5qOzC+Z{(IkzQZ>v5f;I3pE$>5P-Sy@}WVPtD z=nFYf76Mx&z-Z`%8D&LqxT?Rki@!*^>)V3(V6`*BBi$->cZbS)Y%bz} zhcyywLs=$5u?~-715;pxQU|DdR=HZQ5*YQ%53N1p)cms^JpFi|Ro-$v=+z0<7YPp3*b2_nf6ECgxL|CzO}5f==Ky|0Uxn6;M`> zkmr4n0BcklP?OJ%aF+Y;`yua>cjnq9v_37*44Nhd>o16i%x?rxE<0c4} zQ?LZIyi$Fo+00~JIZA&D zd+Pz!fz1+f0tJ5C_-RaubBSS5%L`Stuj}twfua~j`*>Fbdotsp zEr4bb7q+=dh`Yz(839Lh!UtifGAC_fR-FM82jS~^1b;&h(c5vc@D?>(uQ{zlIo1TI zX9DU`mNLEZGK*h4g%c3fLm?pAqRP{~y*TMk+_6R@f5@swae`YK-PyIj-P;qF)HOFV zHXN(Ti>?=3bxlb)o}N_zX4f}--mR4;W z-Ykc1UpOZ2+^|M1p6y1<@vzSM~k`56+q`RwV8A)Uk0 zf2S-JzmY%$ZL8+e!N^oO2u3U%t9v#0+Ei4r!r)GCcrv8o*lal6JS%ffCI75Y{HcH+ znL+b7=VRvib_}%canlCEr*hh67^y6-#Ca?hvL@rplwRD64;*+W&iT5%hYiH^A9{LNObZC#zYoLPRWqI?hW$go8RX-Hf;Hk)BK(Ht{M z8QNMWF=Ja%gq!Wzp%3bhM*o_Fjc*2cwWQ8~HZgTk!1%Q*N+9*yJZkJ#eHUhvMRUKp zPb&x30`F5ke>oVE*BMtIYNedmjGgA?=cnyuf50~gx(#dUDKPkXT-<1eA*XPT2 z&MV;Pm+TuYaEtC0#vTT5f`V2KYGR37QE5!#^Be1eX%g6AQ&FwnTWUz4mGo_@dMeBU zmdBWXlZxq_=}}fp!~7x&YgK1ti-q`8hAGsy;QXuZ1(I~PZ z+QEia4uQR1lgH`Nf0s@;a(e%)UAc;fSs=wgm$Rqh8Iy+T5v3>n9KQYN&|KIdR;qP6 z%v$JieQ%-l<8i@RR)})W!A7w7kT=SdXVBvB!hrn7xvF_wMBOkZ<;uc3X^rpPyj+uTVyd3{IFVT(&!$9zJ>fRfpRSkfUYILkQD?+2+KXHf4rkQP zRbc)Tbs#>4bVz1EDc@Zckt~U08>}Nh4ho)3Uo!n(K$};rBA|1xogQQ=V>hx#4Opvv zU>|5_4yJEvZj1uuZxUq;|Ghbi0{ZLUjYXfteamMg=Hc8C>h>fcUg6w-i(~p?z3TtG zO1AW*`g>}sMjW&i%!UIoXCG!zh)iQ1>R6lX);sV7RWX#Yt&Xbt8e+=3t*ZauB96{< z&qmi3WqEVGjNOT^R-3SH{6zSj=J+P_)Hrs>H9`9RML9^`JmarCOAl7|E&JvcMg{q{ z;u;NCdHlL1DU%R76m|DGeUjgWLVU?qIcdA=_8Io<$Jq2EipFShHYnrloxeFOm;d?M zZBk>GsE3Vkx0D1?ZriZQsvTOmLr(#&lZ7TKC3B8P)(m9z8vU7HW-4n0&7qg^vG~C< z=ImNgF!K%rX#cAXQ;+6uqx{9C{4L?0R<)7~o|?6=!gc`RG-145NO6wH5B z+@H&9ES$|MlYcRqhYW(c2tXgCf6m{N0)dq*E8OT$Zi$+=<5FrOcLnecG&GRQs!0Nd zcJ=?_WKa7m{*n|-@7UG|Ra^<WbiM0@f6CNu_~D*{PN+)Jp|$DL)lN$3%2PG>zQsriHl#2v;sF*gY=yjfiRPaR zPR>!NaWOD{bBdr&J2L*RGq;+3SoslB*|7oG@eWVKS-lVjku<)f0<*u*x#y0OIuFg} zdZB=0SP^GYs`_>f6mb4S2=yWcs(I7e)4M3V2(}`pTB;YR${}i&b3f+TklA&$|14fx zb4S-d=DIq`{OsAH6)gdol&G}<Rw2X}te4o_v zz{PQ*x9&-E%S_fkTS!%heKH^!lVK|4U zF5o($gzZm{yj4I58zZ>Oa?az~?U*e4(HCI%aeZko?$1&7B|`2=l{!SAWdYYO9rL^!_)u%E6y5mG;rhZ3 ze{|Ip#=nTUe)LE$#KVjm5s`N;G8+v)nL852^VS-`kk>VJAIk+NeCv?tOGPgZaEFOD z#MrX4x{FM!-mihb;tscROo}z^LDjRx22B)O-^t0DES*Fyk&Xg>x2fYdCwMgC z043VL6SdGhrjL{i@Pfk4bXM!kM_@N6zP_)@01CCuzY^~kJtd_$QNFhP!`zfKUeYqA z=uCHQPIN?=T$a!GM8>OK69}?d%I{HFmxS#=aRRcQ>D9shX|K`~gf;Fe(0MB`Z8uH< zf7S-2;#KwT#fO>L7Yuo%u!PI^#KdeGf3;eT7JEt<+@0>r+2D1Fp547RzpD@!bYS#T|wlpV|{)WR_SvJubxMAmr=Mqvdua>frr>T(ya0U=wE|u%X z9ti7EmoL3JO(qNKOD%>w&e=5UV2cD$0{l}4GHW!y+QT`4v zFe5y%VAeX>lxMDZSnDsYMi{qmu^lettTYPN!3&5fG?P-RQoOdPW#2F&-9c4j8iuXl zZkISL>2IR!S$$GoaJD6`rN@}msN&gy`0`kLwcd6GQC=_7#kEQ1SDu;v?cm*9*n{3A zxfn@|??fpTgrf!z`isscah|kF>&Y3NqT*uc;CAs0h$Y71)VHeQ4W6TUKW3`Q`Oq%P zC>!xFqL%;!?!562reV4Y~L=*UEIq zYmORGHf!0jbek?>;r*Loe*mM)AXc7GxZER$xQ{A=wn{+j6%QtX@nLp037vMXZXB1$ zy5-H7{N~ini@(QfbK0mNXH4LlbT0S<>>@hbdI;wf-?`v>FmxOj<0lNbKa^(*voDJ0 z+m7q}lfrFIiiudKs6!#RVYN88RjQ1R0HO3a{}#0hm-Y1FnF|VZ!ar0EU=x4qMXVk8 zv{PHM#wvmLOG^Wv_xf&V*6jhczcCFeCO`Qc4PX{H-ogHvg2|~#KlifXTEQA=_FkQ; z0jp#`IUm{l1Ty5z14l;!j-V`6t2?gg08PWK+ZeIRRe#)_2{?hV{ z-w!_EbGW0NBRCt|lwE?Crkqoy5nU>8W!X8w&(R@?7ZEzw#JtiC_FoEFhH2W~esr1g z!G5#-NGFm3Z{%?&B)0U4YFj!(bXgfyu(T@|z3_bi)^O~vj=ymd zdDU$wpr(UJQ!C~&Qv3MgfRd64Rnt17)q;`a=Vjh)_+jwfR6U~&mWOZq>JF(vkXBDo zVd&?CBYeRqLxo5tqCn>@4^NFF3l`}V)vyEw>Tm+g69d+(j~75wlh9vJwnE>D8xfQG zdb;@G9qFNP8Dw8ff%dG6T;dSsIP{D0&BaG4w+(eBlHbD)kur|L%)0=$$8(?WwEAHN z0Y4-nPA2P*@cGZk z&%`4C4*uPok47ZM6SB*jc%H8?p!F3VEs~GUIymE3DX;7UC(t_t`1U1RJmvmO=YbL_ z=-r$SU5T!mQ~PJ#&)zH-JhqVXFVj+-npl{XN^J;nu(X{hPFQZBqH|*;ePB4e_VoL#J6WOL{yuzDNQhfrTcVc) zXM6!R@`%|N*qnt@#B&5QM%d(csfF4EtP=G2rqe?&Gmd>h zOwC|{N$yUGJ?(y}NvM<7bN4D~3S%ta#9!}<{AP?>Glv9)4Cpsxc>&Y&wqBPjc?yIP zulNv@R}*4c6?zocxZctvxbCumJjK;!BUo_CZZStkGN#{y+=8!-s_XEhHpAt@U8#h+ zc)Hs!E7lUy5B^B*<8$UN$-CY5tTcNz5rSYC!Jr)8+csV&|G|feFtu z!r654mFL@vvU0D$+E?9%cVd!d-1I#IUe2FE4}E$1KG6X#RHKH~t7o_6eJPxA9h8wG z)7CCAT+Rmry<7a1i24r4qMWUWDqJ+>Ex!RHjcq$3jvfGmdz$Jtv{^NQ-S>Ih5oO1v z$XkJ#v4YZ1tl9@;Dzq7_A?%_`{M`>#;e*jeqRdzpUi#K2z(BYHb}N8)2kw9dE(yZ`VoxI;L_ ztMKdb+cdjI_&uXzI@?qBs%(>8WiNw>Vl_7^Y$7ivGlnLNF3C}^h(!ACX#-DbMp@aO zQ_0|!PzR962Aq3Mz|_3tP`vx-{)<$y&4tgBl2&3}H88{csDE-?U5hd5I=s$2y4nR0 zH@I!-qURLkUMU5tE)Q+&la@@xgS)k?J=+0Ko>F(Gnk%mcs}Y}#tdx=ddt{HCE-}Ut z)}`Vpc`ukjLo`U;;AswJ7?gRTwnZgWwlfAELb>x@OBu4A;CqC-Z8&VbTNOarR~R}Q zkLa`}p5?Tl^bbQev3Ot^4o+%qjA{ZrtU1~&d5yEYEt1lA(ipGasWHr<*S#ENgyaLW zNYiD_=tCcZc~kUSn!SDUFdJ&}3BYW1ZwU{#Z7@`+r!L)kbB1hkfSehY3_nkuB25*4 z+nomPrCw8R5!50UBp3$d^a4aa1+o4pVY|UlG>nsEIIV;1H4)%xdv13A;*>yA(|XlId0*w4k9ox9tK;EgPR z!E@~4=&IloPn;Iu(aHt+V&+1Oi&~HQOW1v*nR$3;v6?3)HZ_!g%jXUTKWNbzd6%YoVi9GD2+7oAN~|BDiKwV z9AEE$sE?gF^8}7Z!L{oBU?wx{DSqNW(@8sdf>_=_rJvE1WXn8BZ1kKL#q4!3o1;R- zM%?RB`n-t?e4%R6qrsbZ$J|n00RF+YgglGUtBERkOz8We@OLq|O+{bCg;lO7J><{2 zg1mTm5ArzQwh^rPF=hbfJAM2xNV|#uW+(GLa+~pu+g%16d}6#Sg_%J6Bkg*dU#}Sb z+0~FPJwK)F#m7~^D}I8G+4w?dhvEmbye5%#q&OzYy}V2^9{cMSxUv?>$zCDJedpW1 zm$?sSlHx8j95;PogiV4N)_B&1V^FZ^GaC{@&xFy|QZnFC`wU4A`fe82;&cO%OBsZ( z6_l?$>?K(|2v4XbckF0}2f5`NkqQomch(t~9~`wVD+brB$8AM@dN9fY!wgt;he%1H z2BvtsB{n%I9BfKR*mC;h=T>6?SgXiUV^=`-lS4!N9di~{|1MK+E0#gSC zq|WEwc1+xI-IVEK9|qoA*6DzCTAA6$GlSJ$`131UE2h?U)gL0BS^oC>ybiSdM7bT! z9j%Zs3Y>V_B(SIB!XyR8^4R<p-h}FZG?FJV&Ck^*0D;p%L4>mStpF_5+uoA=g*KnODAmz(rXulZ%F|GAK$%euD|EmFL|P3W{u{11<99zEO>D) z_f>BxJ}0N4vv1?51~{c;m%rx+7U!~qv%8L6OZ1#m9xxm)y%qwC3O;VKc=|bourln0 z#f!4ss}t0yNmco^R|940lYA0Sin+TGEFGCBuiqe2Y=Gyy>mR*~Y$J+(;B8U^np;ah zNPSGs3%x)4o1(C_$hD$z69?=>7xSDV2PBRMY5Q5C>V9wmFAB3-bJTixh+@9cP!lP& z!-lP)d7lAhc8YMAh9j%+aroe&tYAf>hdVz;{es9<$D`R|Jlh0=za)g{uq00^Gr)I} zc4!1_lk{Y<6dTlUAYw;kqK)ANy0xo}7bhC=S#+e(kew3pmM zJFdEK=G)a3Vy?joP7$ZLd%nzvjk;24HftX}xL$xuaQ?$i2vtNlnQpw}3Yw#bJ^hkq z3KvN|X#VmL*%G=Fa%vEr2rIAj-pD_UPaJTN)~UWMy^?$lSsaF_3tt1B=a zdGx8(XoV|6Hw8y)R}Eyw*je#Aa5s5~C7Wjy1*lD?PW`GVLr@vQI(Ag-HgrrA$zz)Y zluNmb{J`GU9EWK>U_W^~jUxybK#Pa?D@ZB+?W-Jd zv7C^o`jQ{GqMY0@8nPFnnSQh&8Bdb$p7X zA*&z!ECl9G9ahFck3V-p$Fk5{fN9F%SgVDt;Z~yB7)V{LJ;%6dz4}mYJIjp;9ahkF;DTM8hVu5B%wZ9^Fb?|C$t%+KE3&0eZi=F3FruVQwlEZ?1`&y>R|$;b5C zgVSDgq&EO?4{)HRBvcaj;1!i-tb-gb{jn-kM^eH#dQ-_<`qQ&bRBx=)eG_Y!pXK9~ z!Y!HsI*(|F(G!J5kAbg#m{H+-L72+EoEVOBj^v6z(vq;dddR-0@4RB318M9XNrUiQ zH&48992a&oaD)p0hiZO?n<9M;3l|+6J?DMRR5t*e&JV#@5e~ZS!q(5A zKa}>{N+20I^~Pv7A!PGv6#TkXv+I{62Xrp`TBqJJ{OahCl^|cA(vq6t(t!(Djr^Bj zBq+Qld%xUr~{?Fnn#57 zo0n-;R+`2`uWP-kUG9j^eDinI47<0*`e`qbf;@4lgw-0Z!kmEOa_9lfN^eu@TiKkDhWFIi4(3iRA?)12H5u7%_=y`WMP83p zvD$R7$l>`R)&R_WyooCs${56FfZ#&wjEyJ7)w;<8oJC>NxSw=DY$&U_m1Sc=((P-@ zQLuTSd(emC2U!0w#lqc^jqDSfWG^&&V^(@{7iisegcBHO6O`$6?{Q5er7tnEi;u@asZH zl;;>&&e-6%rn9b?d3>iOfp%ygF&8R`UZ#w3O3wjb=8UOTyXMuMkCj~ZQpJ29aB(tFM`*C4UQNb{33-njpkELRAjM42~QN0K~Rv+_Qb7e z#?o0Dg7KD9ms{wPLO-S8Ub~=0?+TPGc2b!~q%_O4fR?V|Y7kZcL^MlgDCXpvPY+ys zkk(%AfC>hqDwVjPx!!jTSx08Vhzb6NXZuJ_PLnY;c}v|?jXPLOCjd#qayRZj4%gL6 zCxLxQCr0sSdk&9wP|3`w6l=e<^1bUiC&na^$hp-xu;C*s*;`e;kN)AlPU+{)%om&9i|_SNokJ ziVFOPgbw0w2y5*zyP&y08DG5?4V;{qF*xlU?XC8reu+sAh-Mk596w^oQA zGRRA$1yduAHro(H&B)K|P?G(0R%avEKj z>%ju-afRMt%+qrhnjJJ+vq^-aF4@J4bg~VGH0! z9KD=)Bid@l!kURjW#@DMy{zUN*)8R1MNHCJ>o*CFx#iOojYSBHnQBcWf-WE?nckqK zFxgGzQ`6801$>z}eB)Nt?w}5IAkhn!793V&~ z)0M~=egSAj+cKBkVTfc28n)mGC`DiVsmt{v(wPGX98Z`&^4ACV9@WxS{bAAFuWf&& zbiO0JTS-9DlfHJmCDlo4u~n>gxVv@0&Nfr04Ti0=$WdwGN0s}Z-+?1*;*0gy8-GjfCKGoNrahP$k=5d zU$6^G8bGdZVWj*kr>VU1&rJ(PUv11X7y?2LaQhrnfPdI|6NR*}0@=%GE}N~IPw_)s zC9ce)Wra+2wvJ8yq8|QH9(^mJN3A(y@oPx?(27D7=^hsE^?gH|0*?8+2Ov!Cc#T%MRpN4_y8VIkPw^r~dZWO$P3tFl%h=?N z&PEqWN-1TdpS&>8x%%^=@n(}nRt3X4r*~v;eY7VP ztkw?{x1}8B*<|l3A#SngX7I=!y8(GD=B2DDP%%*n#6veLKn0hg8j<)(P9CDw{3zta zI3<^shxeiQtzPu2g1TLoi}9}Pog)NC1=C+&85KksxpPNTlq&)!7h;3y2)QqsI$o{d z3$K&-Iy6++9Iw<5wjTy$8Y=<u<_w&xt;jG?`;jH=M>~DdH#e*mtguGDj8C7ZP zh^k-Ve4pBroTw9Aq>&q0HP*xFD3j6nB4}di!BK( z%-5f_u-R?)648*KDl5vscXQA_wvXYM4@D+0x*w%mHpcSZ=~pOsJwSBGr_Q6RnYv%5 z2kkHAO~xuvgXBK^>Td!<5&O5sUO(hSEb4Q>6F^B_q_GtCgaI5M{hSIXj-Peo2SYC0 zk5;??7qujiyF;gt6Q-MO_}NTiUBBF}6mcE4zfFGbYB~aKEw|FeTyV$KalgZY#EXMe zjh~|o@9CEBgA)WYdlEWGG_2`uhXtZM0=?(X1TBVyy*m7pM60XVLSV5MH!CYJ(lniwHtC`oYpAY54hp~nlEQba=KCrxait&*NcY?!sL%LaJ9@1!1P2Z! zgAFB0Gk$tw8=inRWc)orBy1X!I|iDj1IcWdZ>j0K-dXu|2TvVCwtm}JFs%>UwW>LfvTm@~S8`=yLsFh^O8sI8+Q4R9yA+ z3!N6=laESJ0hFT?OMaVX|IPM6MI})M>K!j5%^n9V4p;5MY#$p}gYbx!o~=R zPsng5lBPbgmJqQ^7#ki4iv=V4fMP9J^P~TC2e0N?E#ujMCrE}J$ah=%K-;R1Z}I!y zL6CdIkaHd22y!x9z z0@L)GbA7V7UJU5VSETu>dxef}WoP3Qse~#El8VwHGY|zW_a6Z9r~-{_E7XKfm;CHx zR7&6u-Jt5U?Yu@IWa(OxCOG{uNTgZtk!H7lESBABQ_?e82noHE80hm>M~;=^)R8rXO3UD61U??W=JnTZoL!nOAZ$2{y)^Zj%qQj7?~Qtw+|9Sy7c=x_H1}(8!k*rwT^#eMxx}q+6UhI2OpJa%1kVlm z(I=U24{5v?Le`Q@Y>u;s7oq7`6Den?>|;+ow@8T<`&T*=-RaME1Sjl{$3yd)CSdi% zi8C|dTY;{Og_6)Kl0Z;8XJvVW#Ru1;E0_meva(M3v9Dde5sWM&pf>qRNR@#rQ~DBA zxJ>9Uy#=2O48Bh;HFicqoFK*eG!@uM5N8ki$%`+E88UYXg#h^VA#frav39A#h6>$h z@v_@`x7k$mHEp#fr&LQRa^kjQdU7h0G`){4dt9lBX8UL_HaTm|P&*-`d1>J#&#=E0 zj%!mK(CxZ@{J~8!_}uKCw^v*g754HQ3SFn~b?lGCxnd3_qjJYoKVhK0cGsUz&-@Nf9OfEOKiwOF z_xxi+l{=0rHT_T- z)2n(d*_P)H$zmV7({OwXoL{Q#mQ$&MR-|exuv=(bSQp4)NJU*18`YRCFwBsg*g9R; z?v`yg45*!|XV`qmx0HaazjFMGcRy52W>7R9fL52v9orcxV8(DiXUUu!fR3Y*?A@R$ z;Vf@8e(E*h<{4YF(PzKy5QxNm8&=c_a=(2c} z53}4i@--Wz8y8zaJPDnknN0>TWx1O#?Yzvp)C^~nK`T87gci4HpVzPwX?BPKQsQlm z+{MY5AEJ{V7sL8g!}D>+7_zJDnk#rI)qZ?oOK&Y6y%q@$2I=dXPVcrvrkf)I=I+eQ z&gjU^ttJOnkQg+*@-sOz@)*ruu*h8^ZY83rfsgLqOa<#2otjs4i|q2P;AJx!I;zw+ zS%V1?lAt5IO;dj{Up(Cx)W9g;?C(+XOOc-)M3*a(j-lYRFpOU58m|R&=a0P?<6w| z4^{dc9TfN^DpR7E)T{VppL-WxD<^G5i9!Xy;FX${<07s9OSIYC?$At>+sKA1h=T;Y7XNg;9k#u zYg7Zxn0)Y1l!{={;>Ot$lFp&h0rx!L%#IBoxA#aNjvhrh1z#SXh(wVPV^VP^t^Jw! z`&>m(cdi>_XYb1Rks2*qH>%DP2JDUMyy}rz^N&Z2IyPkBi7!Vo8)G@`$4lZ4>c>G- z1ns-JRc6BD@H*%Q>H-!=2Dt}y14wZsp!twR+aV<*<|62h+Bf5SVTAWZ8+|Ojcshir zwPGf|kUwJDb4`T22v-j2Bo&2{+@`7V{f3ef=9?y56Vi9<>D!FCK4HEHAC5Bq{nsdo z$ODQ=YivicR@j_=>(TyEY(m77{?#Vf00>UnjtCsl7oWLoXR7E9n%hb14ZQKH!o!f{ zb{bHRP^2K%S@L|%@#~pw45`^`O>nDLt1oL~MZBcVe828iUHnEmz{z8zT5_5oJKFLi=2(otOzNZKnGN zAt6XZ^=6Cu11_H}<)ct={+Qj_l#o(kN`XK8OyQ;QJ_}IRw!AA)2I!Q`-;||gO(-jC zE4!LIT)ZbNkzM$tuEA{ePkVQBh$;JZ(>qCxMr0z{y$?6^nYkgs= z9V@nh`FioA;$pV!VN82H_TvTJU3u(&6+jaAh zTTTUBmuv!{FmtsBcR;S?$%g4+(^2U1!_z$*QFC{9m9UAKkP*+=OClrMS8Q4 z)N1=Ge1UZoTrf2dz5=SnuplRWk<4KHVsX|^j6d*AhLcb=Bp#^zGV<+kcNbof2ETWImG5BzHk;iCF zHn|oN5lhWmht+Wpr9ERLF0RJe8(S5sO1#I8_q3W_iYrt2;0I73m&!OUz=fA5-h?m= zRez&*?7KXP-^-nkko5d7-proWsO&w;XP=f%;^C)&L>rgxbz`X8@ZsdboZz2BA&VUw zhxRMsQPdki$#kuAq^d6w{rzwgAv=GZKgM?o-@y-+ z>}aWk4(27tpy!*DX%&bmU;60*4t?F8swe!k_v84Sy?{*LyH!)uUT`3(-Mb`~yXAwN zTt8iucFsY<1koS&HzloxLxLo0%W)(vT}Jvh4Kh)QF4nHvhhvqMsPauM z%;&J^MkPGvUu?>M)&@AJChgw+@K08D|Dm?a^396d=(#pfv=g8;eq4$#+(X_ki|Gv- zcY~-UgLbvd2bXig)?mR{(cHD1WTJIoq|A>fE-HT|%I^+&+Xvo*CrZ=A;R5?d)7tGD^G1vOAj=dPd%Zrz9QgF; z$wrF(;ufY%%lt$(QQsh{$?KBh`i%IMdkLJN%7FF&H?Y-iNDClJoYgqM(@l#*DW$V zag+y0`KjCup-LGa2%vyS$xO}P(;D>~R-$xZt9vo;++k1r?V2C0%G1hNmxR1lF?Yrj z#1O9N8AzDUO3o;iiy7*tsKgd4K}%reuwI70isx?s0P9%D4puio(1UB{U&bhFR0@Y( zkIuUUT@wiLk@0IP*>tqa%s{-BJmD}M{|Ulys}8Z^SvUO!>rm+`>`FNy!5}$f-)PZA z4mrIIQe^fi4YtW4ner}1q~v2uA8(&ndg$}N(v1G_ei{* zMlPU*%GWI|dd$tykD0#Ad(HbCByWx-%-iK8-~T|!g5VYv3I1}X8@PmYBS zXrw-iHx1Vj2ij5>y)XC&HiHMH%IvSJS-_H-Xn-d3_5boWIm4^iM!n;#gOLV$vK@u1 za#U>e5kf89^W5gw|N64}yIIPk2!I01ntyQqZEtB2hxc?u>ShB+dP^wvgs{!)KZ21{ zq;9)K#kxA0B2lNx-z;8f`fr}6ilocicHte>Bnd;ZO^dZh2qsZXuWn;6GtE^F3k2J` zEav*maMf)ik{8Yga2;seTPuS_$h3{y6C~y`kv@wcDadqO6CRz%C~b@Ka~!Wp(B*Oy@wYY5>}eyn-zUc#Z;tZgDzS$88!8MbNOG zGFjZ{(3W|VvQYHE<24(vJa)3dQ8ZdEf`i_yVC19IU^z&;+b@$LBC&G+_`2vd6LQTpQ>1jddV*xSvVK*cMh^J;~aM}n0QmaQT5|(U8Y*+3aef&UsAmcSu@u=grBhL*G78V(wi0IY zSTd=rqqga)uX!YP#!Z=QZYNAFmmXci1X*ZLzK|OdR95F45Q~jA)Nh8L03wnzXi9Gq zll-95zJ;}WQBjTC7W3%kN2~^b6d&3=*#J@nvc&iTLbv?FmEr=aHeD0gDHLyRECqya zJ*?XsWz{u!Ebgl0Oz6e1J0#T~b^tQlTgvNwDlBLUI`)%(WSkdrIyyUZzxwMX_xW3u z>x!Ui0iQONL)&~fTKij{{hs(7=((M%ie6?N<2|VD7%q>G{{T3QiV=3065~=$kq@zV z7_wDw^-nxDkiPvGe0LyrK;Z#zVCs|pDBV~v>|FyBP9h{%l0!k*GzEZoWDw?U?8Zo2 zBsHGA(}=1iy2V7Z(v{UCBP8*#1IMOoc&OMJSgHl?o%Ae)DPN39F~Pn%yJ$rHhr)tLXvKGK0Ych6Z&y@0Y(gBaF>%36df>^M+qW zYspC@zH8A8^McU-RZf6Ch-O(7Etu>&k)qUcIM@_p{n)#J`wFibO-39Rg6VU`I1D3n zFDo$4kJH8Ux-y|apJ}BK?@(9v675Q%0H6b`l)dphvr(VO)m}FanTgN2M2V4e^D5i2 z?Rv=hBaWiV&;%EiM+d396y*<%e(Ij-T!L=T^&pKE0xlud`j>4yI=FTdU|-ShfucQ> z9K^MR1V0y0G;U-f!8_M>Gmi5X?IsD*L@W2e99ziMpyh$PYd+>1>#9gx2Z2&lsfnIw zCV$OyOlN8*p7AQPxF%%~ZLrSXjfR{QtJ_xqO2+eOz)L@xA1dp`A)b5Rw&L^Sw~wo- zcX*-kIiM6%dq5gK#kLKxFzS^tM<6EgtAm^!wL<3dd7VH}oS+tG3t0dB0aT%c_+lcB z-^H{s5-qBJ+?=wlMT_;rorfCreraz}ATNY93utKvzcmQ%ulx-oV>b^!%S6AvsIBo* zZ|hZN_H2FA0m)qf-^*pHs^@l)DraFn3p3d#Zb|;S@4`|?)+y;NY}F%CC~R5a63kE@ z;#=mLkc5AP+wm3$xS%ho)0{T1@~sMYrh!kebQ35Q7J)fDQ6xHfe%GHhHF0hy4R0iVt)cx3R8~SZ+BKDl|EGt8MbQef;bGdhe*2nxms}a-q-ERI1xbcuP_7Hq(~m@{GX4=op!{hWZ?MlR|~JymXbe zgDmd^w!2q8^Qp-5nx?Tixpfc7(X?HcGJWP4RZx|92bMv2YI~)qaouLegX>T6D!7*J zS#FD@+rgb7yH*BSy8E3L>1`|pbY{`~J?p^q;ZsIC*V_yIhQrt>MP?1)>V;5KObGwh z{1h|{F0VYR2sCVJurCZL0`2^xYG|i+N^`RU0?~bSE1`VQv9Jm0P(4$m`J@jJ{LihE z5JK&$U%K2Hj^snOFilH`G~RK!%6z-GL^7_=cMOh^G#fF(B1Ysw9x$;aKE*})x&K#{ zYn2XVh{1CrJ%3wE&^PnSw8^Za8Y50qOvsy@i0bSv&0tI(tQLoaNK@QTs77m^ug27w zFurF9bAUmi8mICqMI#VM?Fb9fT^yj;Wb=U3}Pge@&CFy@iW|JBJ{kY%3Gw z(`@fLm<>;6E&MStx0cL?fO4P2@4o7ix!CxN!LFLx-3NLO9xFh9@@ty%6RkvMzgMf} zo7Jrgs5GruJsnjEDwg^#vLyRj9)MRznd8rRB{ObJua|4hB{Usi3_UYXP>`(7S{yvS z5w4}0AI%s#9ib(3k#eAiT4zj{t8m@~AmtlMzNW{F`{YJE$>>%cbxhqZPu-mZuCBR2 zD9eDeN(Zot0IF%d5hy-*r0;1g7D_8~ty45Xj!I0{>V^rA-<%lm-~Aj2K0JBBz{ma1 zOwY0MS@;_-Gt8M=O%933L0GuceiFz4B+l$yCj9wW%riWAk`W?1yG_D+_)6FsgG1gk z%33q+r&be(V%xB1i8x{GfifT5#m#x=B7P?}smmFSwLa+v)0xODa4vFR@mB6G=|wKi zSON67nrfN}V^3FIwL=jH(j@BY7WP&DHwIN)Oo1l6+{FYb-9K0p=u529!Wp$Ze1~;3 z7mCq}@`Le)WBt_8F3NZgc?$@2EBpXk=2nr^e(47TX=wDaagzeWvTAoJg((1Wj_KiwlF_)Ta;Bc=hvbPeG2mP0*x?}etsJEYiUa}n$N8D1c!V2+Bh(`3p%MG*Co@eh9Nq5>q068{NrX-te<_|XsL zoLs&Saq`Ja70#2AM*(HQOa^ICIpCluvFyr{YR`6UO3-kQr4TYYd8)Cyl7My=PhU&s zb~ozTV6jy{uR_)~9EPdK^c1esJg%inF9xN~p9J`f4@5ftc0tuygYY z+1(@kHvN9r_*8%^^(1|G9QT~%a(btsFlmf6 z_&4c{H}?thy#^akyNnoFDkhAiD zhe~zP3v0hAyKAXaEoTHAa}2P()1#|_9c~@yH6Zm%Oo6H&Y``ag_Z)rz7c6j}G3Vn5 z2#2OP?8W2=5Wb7S);p4z)wivr*QLt@E>I)=-#Wsndp%?PBTYSOHICZ zX4zPX$L{2GmcE+6R6^P~MQ6h_ajy&y<#XZk3KG7yKpKdCY|kWTRLz5@IyEkAvv&X& zYCR(ea|!iH+6@FhGgee6$B;RD6WVN4UdzqQ#j(3e6PZE6x0d71AWuLAaZS~s zncG!0S8O~ti!`MN;Qm*~WWrtySIQJ?sYn=xznRsxPBI>KQTm&g6Oisul-0D=L;-_` zmq;G)EdhrAjN$JANEBL8veE*|r6=)8(regxBb=cj-G>~gV*G(h6M@H%`BiYefEsW^ zOk>^Ya;Ie{%v}gdX1V%I0mR6b(S|@S19Wsi5XSUcXvrCWa-9W-I49MP*c0ffJ*d?cToM83t%$@Fd*q3 z!gM8j?1K3W=7ZNH`q}>$r=G|mTvNjTV)JfzrE42Co+B^hdcrs zgFsnwjwYAQ70!iG@GPZ9fWPa?AA%kY_Rg&EmcE^+;RUqD`!aW7mwM z)mh4uPQycheNre)F*+1lAH$F>JTvVi}af*yqYe zE!K$wiJ4L!id*wU>#MCfSvb0%RzuDhujnW$d;pvI?vlItKt<SO%2uf2%1DX@bD{*CSzyiKCQ*%-giUBL9G3SHag z*dEopeIQuO4p$41hG6aC)u8N;#2B~CHYbo$5Ub}=8BaO`ean;^-7FbMZ3TCpg?U4l zpbQ72QiuekQuA3e@~FYAtX>g!(V~juIL##+uUAbeb8hx*pR5&Sfa?C=xtCcsgE_X7 z5Fmk$-G!pWmYv)%XITl!(1`LK{@F7wxx1Gxj=&Tt4 zn;LsQO{tXRgq$*ZV4`5zgQ8bU2Gys?aEP&)R{n`FWt7zpv)m!`b(DmE(KY8yFp&T7 z^`x zYNtPDb&J2bM+Wus0;1u%_S{vom@MtZ0k6i|NF=8c7XzlZ1_Xni?imP;Xt><7_x_fS zj6Sm&y$aJ zO1OjeHD+G3T}A)MXe71EQ60F{1U>Cn-mi5VsuPXjZ0BLO@z1m*ft}*rTwMB|+jMFx zFsT(G?Lmw6uHR#e=oIlQvhptf9wbMQ_oZgDQv3Lzp8FD8L)qR+LYl+}kcFCl2W~#L zyEC4qk@Xp+G2<5M_Z#`>ypPn8T2%>MjF;gqj@(m@q=JUwC;%nmaQir_r2UVWgbkr9 zy?~itx-70q7Ia`)F|^yS1MmqAqKM$jpSD@*`XWrzzeE=jJfnTFhvwZR5?2s#a4G|m zh{9lJa5rRf^cH@BV0{~k_kJ|kw@&32tYx*@0l+ceMG@cHXH|>r7cM&-ZFLS|`ecse zZ;X}*jRaja7jm5^>8+Kfvw42)Po~UL+}e#b$n$H_<_hO!IiPq_Y;HN~LsA>uv1%5& zAg%|-peU^c$(ry^J=WT{F`~!d1nyEidTjNfV%Y?D@GPwW!0hqY^%;8~W=cRV3U#2+ ze`G|1v(ob3uMEu8;$Kvo`1$U?R|>{?;m}fwyEJ^zdRgbTFr+9{2X1-bkP4af1~nj^ zgzGe2@l+a7@qc9z|E$?MjFed_5{butA(m@iZNOn7ieIm6ZIN&!G`8+T5R)DNR!Y59 zEZbYz#s9@JZgju?V(0KZU|w0a5Em8*RPlXKlhg}e8V|O%w3!X>_SkbMAUs$uZ2FZw14R{z^!uh~Cu&E3dl{CW?@Z$J z?ds4r)ktq6wWg|f0ALI>dhs4?D@WXLM+Vz5WpJoe<&1(-gaxRr9X`9b#Qc8oH?-z{ zqWH*o@VLsXA4;kujIqEVdGVMQJZplk((4yV9`(BaAqtr!-rEFTVL_{hi?Kfd$1dm~ z6#5lquHlGE=$hiRX$Y;r^)uy|vZ3Ft`NvB`BZ3|T#lFysu2}71uedq!Rfhb|B-<`a zB%7U(8NuObvvt>xDma3S?^z7XFOr(BG>K@nK&~t;^5z?@_R2cIikZLOun9h^V*M}; z6_s9QgArL9@1DP@lERLSlf~=&&v8(P4{pM@X6ZyhD+mi;#UgDEjh4S>nUkUo4iVhR z`zW1S+V=#=BUAEq!@33!Hub?rl0pS1um3-TyL83020bqH%zzw4ZSQO8bX+o`Qey5s zp2H;d)aerf&ZI7<>GQiu46?PAgDc3B?$&^i}5T zp-f>iZ)~1A!&BP)4d}F-J`ELS(RMajlA7$Uw$mKfp$Rk2(fx#LEsKDW1mBEn6@= zzj__1I*QF~-^}dq#0lj*QW08^nQ zPQ`Z`?jRAKEl<-FC(y(p!crKwE(An?U3$Ren&MTI1}#I?X6ku5MIlgaO-RIyL_SJ7 zQyxvb$v@9yfAYh0+Q%~Y6RV-J3F>!>`RG=GpeG1~yJ2s!=QE(W$2yPED6_UVF zWd$G9aCM0$_xKcvsJ@ZpvSrwAd8ysV*$q*ydGz5e5&*+VeuKvC?@TZ1$@YCG#XQ*> zf4gbI@rg38+m_E_Dx}&DBy6J_Dn9KFwoXx@i%Fi$K`_6kS!6ZDQzP|+Bvzz+Dqu1o z%>ck0yt&pKST(a;R)qZH<~$Nx^p_hDwZA6;dcK$h7-B4Oxn^iRgM^3fXQK%2p0Tr% zi8r7GXoQM^iHC=WIh{rqEZ&la0Gvu2IuAP39qE^P z^Py*&3>YK{?rGf818}(U-*uLQkyuh-?{i?b5%4l&MEwuETQmPTL(XIr;&+|O^MB^5 z<$Rq~=-iu_O`EhfIXk5B?0_F7mkwJ}3Ql{v(-QsXZ1TU-iMTMvjuuV|70zwMy~2hv zE-q5!8%oFk8J}laF~jMw(G#qdEy&q^-UJ@%_5k=YBJUw;1Duv6w|3(fzob9UK#$*s z{8@OsaVe}J9c>{i;W5l6Sx4o#%`#I!`+<6W9SCn`10J@B9OURDAk>1e_Rh&xD`cwY z{3CGu#g(>`K5OsrxQz45Y5XC7^hPKnq~;`Odi<0Et917}(RMmvF1-CdeD4|KN{q2~7OxD~c6_aCeXdEvcaN`x}OZstfB(G)@WaJsZf>e9(K}I~M<+ z`Yf*?f~yWI*PKQj$ITt98SGPCw}m@O(w9H5@wHN(+^F@Q0dm39tz!G93e*yjOJNWJnl=GpuGt`5Lziwrc)?bCaK7&tdsHf(~< zTcnED5DbLRo-+eb`-%BhWK;2Y+Jf&`jdzDc&A+(C*5APGqiSXWdx()2^0zeomDRuD zXG808sA1VzWwcve#b5#nP6oLiKh5ZQgn0O~?%ifCuN--ite{Ly>~wXQ7^bSC0t)M2 z%g?sht{+^xs(;Hz;)2fLwqS;i6)NMF4T%7Ok~a-x3u=F<=Lfr!mVC$15@>;Z z{#sAbs{Z2Iz&5{2G7;O~S0VyAz33$(<`{|MY!c8RI?7pJdu}LMbnk%U?rD**v^auv zH!9gsCoRKCL)MR2la`NTEwSGAi85%EDtwredAf5+PR^$Jik%1Zjz~ULVr8i}N_lfK z**rCJKk64E+%Q1j$){i6SdG35fQK4dcS-y6*7{*(60KHXR%ma2pXlEnxIdy`PX~7R z$-e8R<7l`|T5W5_4W-xV(AqQJ8o8ZRTMR*tVo<+zY68umsc*T*3(8P!C2pjyZ}*QA zYi9O@;d;WvWyAQqf3x00W92X9P2!&FE}|5r`0G*hcz`*yCOM&Pl9 z=P7xOZx15>Cx1u3q}GF{NIzwie41KxG#Tx~$EEjrwg){a=F~}9{(Sj#(;FLs2$#SF z0BXuUJuG{F!q2S+|1rF4F*D`Nv}I7{M<6#wJ)38=e3gZ@Jw$8`J|ScD(PpLz!iBD* z1vEx(NaM(Tqo>C?SAJ!`^?V2yZ@mb^Xh}n82{$FJe#q(SfQg^=(o2nz1>M8vAp=9k ztPIuV+}SV10sm#Ym0oCZDSfzoaF@Z}iaT^)eC9$UI|4l^U5708%4F#Urn3Sg<(*-&rJH4$jrspQ&xx{kg5O2Cw^GpNR_EBmi={YLX0<4@h) z-8>Boa8A-cPyyuWf>^A7oOAh&%$9(`XID$paY3Cd+6d zyv>PM<>-LcS_g$dw0nIM%JFlccobbR9h?;be>G!8#pC-i^jk$ng!#0SmDx(zm@8g*=`e+XFvF5C#m#s-~k z`YBYlZw@XidZ!$}*Bb#$AP46+B&-ZQ(?}5|8^hf6;a%XzeMt8wj|2NE`fLV@VBJsi2 zkV;ygt@}vxGVm&&qkJB$)e>7L@4-Vc5)>5m-f*$Vw~`Y7+!;^9UDv!<=_z``t5v*& zfweW?Wv4^Z%t0Y?shbun(rn>yxj#di*LhdLw%)@bD6`q)(@U}PZEY*aTL7WN7O-?k zrYfV;L~^B9>HpLxkNEZIDofLO>N@@d{Af1kX@t| zT=(4syRBtN8ojqS{u&XQHJHMRB}}7cm`!!; z39ggMu*2Q7QuXuVTvd<^bM#TbQuiVIJ$u`Ub1Z8eEDC6v@U1KTlQ&b*8FaN~en%o! zBHj4O`AFZV7#VDv;xzE z@zw)14DHX*p1bpjD#g|tYqt>9J<>EcRvx$zHHp!WLuwCd3J98yF=59QwfX+<+UVOc zL{|XR%QE_AL3my(u|GO%F7NWoTRsBl3zXoTcSnGl3DpMj@uD}4SA{G8g99TZVRVz^ zV1v3OJmEw6V}O<3)3evV+wG&PaR+xu9Ph>c{C9xVT$UT=#kf8kg?po&#{H&E1GOK2 za;fFN^h^tIEV41E`h>&=ih3-^a4tNAevQ0XBvI>r$JHVR}L^_pn;IoQD8b6;u z*mL*-7B3bgGlA#sG@72fk)3sdtP#URMooTJNrv&f-ZVMQ&=!ei>FkzIhn*?2eA@n^ ze6h>Q=FNLKO6)u+xl%$@l!iW+|6Ugw=dt)syLtXE2+Ju8$sh{Sfp9F65INV0?rE<; zObaf9n0W=iouHNfC<3Ws7X#K_6r_^4M|L!Gqm*;nG%A)J-Mu5M%d|r}9Z-|)LxjCc zbq5b6t8itcrS`9e6%5(D?z{RheQH`Yy#YPHFxM*N;whm=yD*j71Jq^m(itLeuVf2m z+|zMFqa01t@G|LwPs5R!IVO7z`_H2LLXo_q_LczlTJp<(d|iKh0<-c)q5z;sf2t%MUzI z<%ee2=Bl5pjLQ59uO#g<1}hZu4f(jl)UupozzQVato|r6U@3+ku8$|vK5ex=>#_(? zh#2MxA0;=uZK}1m1fC;h8`x=%TOv;Xrd%>oXg+XCF8d^#$K{m5JpXjKt@~RB=Jge# zfxFor;!7&o6VaK)zb@*p^XDW#%2XYdzBK=t9AQWw&d2Z8IWF}7jQHRLxi{4ES>onE zl2ZGGHFw|~P_TQ{tDpC$?YKvR?piQeM%abWS{rg86kQwA)hV3OpovMe1GBtHg;Lnh z{EVX`K)+b2m`7Vfg&vptS3ty`EfU#V@h&aU0yxzbB=93we876$_$xb)0NaI|AP7$h z=Fr`+CpfH?4iL!?zqt*x8lxP|p}b-}(P~0k&CA?Fk0cbo+ND?+DYi`bFva zUx&(#;ZWL(&fqsxr2rycTP^~S42Ij(yJU0QzS-p;s_gt4HCd`GQKE|!Vbn&l1DvYy zEBR|7Y{MW_epcCL3UeJc8gi0-p&Nzo4&g1fp)lCtN#sLe_A#jS=F;n6O()3{{Nj9_ z&?D_SKBV4Ceh?E6lyzZC^nX%FO#wHQs_o4ZiOrj`t~rZ4VB&K+0CIjPDSr!%!r+qV zNRc4;t%*%>wYaCXgD3zRebb)&0(HL0&^6BTncS1_z_^xeuk9=;3$ zxZG`}Nr0dJ>l|-yCqKb9`G$AWX{dHcju*;X=t$x?itMq6nY@sPn%Azo4#xY>`n@v& zu~FV)|An{1+dOC;zZR&)tv#<)pEm>jEZVQcg8b-5LmB)X<-8csBAcxmTtIq=%& zo+ac;*yrFrT%-j|pnADm{r~SDY3i^$l`DMU-&SO92@@Iqw(hudv9*P$tXDA#7d1!x ziKYBlz{VpsI?yll9a9;1&0Bupj3OjgJz&{?mwgx~GvDiHB~Zj|GZ&R{Uzb5=NiGW2 z{~9bav~ME*B%S!vbJO7MXuDupaYNn~0n&AG(jbjF=DI}7ET>w45ig3aPV>VWFI%&d z3eLZ#+87o{TcU?Tt^D^peCXq4pNtMaWvxnqb{S zFD+Sf3Z=>xFL6z@$VH&B`1lrlr~1~jiINdaqxUV*=_62U59@KlU?g>VXeoyXE6HVS3&xeuX-3NM9WQ4TAl5N`e5fXGKd5m~8r6xw*gRW5=KmUw{#c)cbqOr==r%_F)A zxGw>0)iiG)b-3+{uSj`2|AZSA5O9JzQn9~ai>_eFKC~0U$q^$vqi3wDt1&oq!Vfm> zqCLa*GCK*Zk0}H{e`?>c0)s$?H>0r)gvm})w~^hw*XD~JSXhJBor~$X1t)O5q=U3> z#Fe|=%uyB1ftuLvB`ovL!9KqOzSkzq8usc+fCR`2i zBfInb%05b&Cd4U(E=YY^yKkxR#?O)h2)>xXHCaadk^*~Q70y97hlpIY6b6aJF{M$8 ze?95;+^}I@2@vh7bnaXcD6|&SLV(%+v6jaEW2P+916NkY0dh|14^gWrQULNF)|l8+ zm9Y^Lu}4QmIsHG(s!E-b{>01{IdP)dqfUg=b8LWj3-uM}C!DN; zBY~7Gy(Yz4vUNA7cLaB)j;srCfYuHJ-!O~CMv2rv9>P>Uvc68$3E6a!e7IhBE&KX7 zUXb)g4iiZ%CNAgn`gwF=&JC>FVV4|>`u3*yu9`#ah0p7_Nw`2DjJ5)*xnI>Wj1Pt&fT2X)j8XaUU&Ln zEyD|36R90WM~z60c?7N{c<&;FF8>O|8PWT(ySfd2O}7GsOUcUTm6E4R(2j(l#M4Np z_*R|%$9u31%s3MX;>ee~KpQ81k_r-g#gHarKU6YZk%qUNM>*r(<@4lIdO%aR%Cm_# zv6CBfbFi5zpmWFHMiUZqlvZSH46k>|pHS-QAG4%?%P4(lUY?b?Qb6I|r9R2a@^6Iz z6Gm&90V3VDpkuv?4D3ihyY~4GsF+ymV+?!urL3HkpnLsBXwJAU)Nx?Zp>hktYa>~b z(LdIEZNI~6kj{m(lv9?@@LOkwnDu{YUslEHG8Dp9k5Vy}tNw>7 z7pVTq7}`T23+E|9n-6)~+^iY#6HsD2?aP-oI5Xb65LeMV=XL-{tPcLy-8$((us?4l zPom1#T?o@!QQS5-rW4>RhW+pC)P_vb@;&GOskYO77V z{yULw2B10x;1|l!ZxWDsJwZR1s7JweDH4B>X<6#?Sx2WmBTif%L!*Hk;k5eYzoy%i zdGgA0wZJX75p}yeW%m#r;QdO~yo^}~e^gX@{-$m%iK81mG={6r$pZK*vKZGLO4`fR z5*OA2_!ivL06b|Kwb9UMbxe1sAPN7?VHkHH(QJ=nL3bJyo!c}3NDnx1!sF)rm4fh%K~FsDK4iWOOi@eX1P;H zDqkkst{n*8I0)#ZGvLX)UR5x^-gDR6+Ki-4i%7!GKh!SV69&ORr_~8gD0u|j8Q(3x zCp9;+JRXTFkBLv87fU!GhCD7rKDlb**#iE2prxzYwRb1ATb9aD3kh>&ii?Fb?U^>h zjHfX56S%%_UcQMN>qV6MQ!>!mg)F>?UW2Mx>+Obs)CMeDSJ)rEhvhlY{lBVZ1LlcI z7Zlsfpt#`^Au?6ThQgT?wHW;ETnSc17RrI!>y->S4`hnGvZ^_aayMuF9-uWR`h92I5tB!BQKm zuMF5=`QQjv48FA@<$)gGfZD9lD@-o-mK344r~|)kLdX+5+;5jk{iRTO8*c)#w>n(% z#RYO;#T#VX+gNz$NIWf=9h_)EUYytF8&Al`m<3K>pIUgcJsBT*h_O;|FCnz_5*o3L z(l>Oho<*hI^OPT=FRr#~~Rs?vJ{ks`RxYHq)PnmzOE=P@zUo zsmdwc1Yap|Nat!_?!~{>4ew~%Yg=b;l_@lQXuBx`KVoqGVu)wX0*tbG^U~oTZf?E; z!)!3Pkk4}fQG2e)v5_U8{z)Y)3}9xkcvFsj^=W-D1?{2e!g9~R_Buc90GrM&r;A(% zAh#zLz!6cStndzXuogU;*5t%&!zLtH5Ti}8X&}j+72(Lt&l%p%+4+a9~E>t-{z0PY05nT6HpES#G|&uhPV1NK?Md zaDHIPSsXd0*zs1xN%pJBVbZ_ykH|v^rYt=29Da0!@L7bo=V}nxaf@J$ba;J*A|wYA z62n^>H>J8d1kHGary49fzCZ}ojB0d1dkBa`QI{~>|RtCF-@z1d#aFGKSX%-;ty@q6smrmkj9J*Kx zU|0Z!MQ9!a&;z1nLyWy!C@p+;*mjNHBk>iG>w`-+tvv*MO5e9rUp#IS35qV)2CV7u zY!KxHrc?6e<$Yqk{9fV>c=`Ypb(u}&KLt;C{N zW;W?`pJGrh_t4QSbJBCkD_RV zXiihWjphW0o!?iK%cmAYH`M8n=Z0PUy#&$xB)ObrXfgpzTNRiQ;H{Rqdb^=9_-8q* zz7UT0z*SnObo`u(X8Yb_G^$9_4L|jocg+C9yhweNIdJ6WRMY|+ z4BlOGdIVQNCAiHG$K9Efh4!K7VOgCsT$R|3YE>Z^2PaCe#tgGW_JY9S$~B03;^J+E zKT;(vDjnf$F$+Yz`hVTdb@FL!cv~X@7%4qgPhGwed=j|mCiD*HDVEbQMwAf3gys!R zwdk`L_7XVKl@B+pNRHF(MG%C2$x#GASmaHcKZqw$=CJyOo{ge{kTz6cU;|h`pK52U zYv;UXRq(ghQY^i#Pv8Qp$$gQ7d7eat*#F4%=a0x20T8oE^$pBS7|nR%J$7;kM0)ZQ z;0y!bL$BSKt0ie)w+Nx%8dl;9FMo)n_(Em@93;)k0Nn8#?jlMEUs?8oxHofhF<{ux zJT1dh``C&1x%Z$L6`r!DqkwNq$|xw&Q{);P5+{%hH;RlS(@tHK>q4-5?IQA;TQ9*` zHmqYqLCiM6kULweZpVh4u8oRK(wmnn( zFj!}G-?lk)rH+SJ-IXB~bLzCp*%!PHWRv^d^aJ81B7chUb4V9a!XKJ?yyy7`m~Bt^T)=0!_pU1uj$*s_I?gWF~?V|M`X$ia|axM6Dt)X(F$reRzkTKbP?< zYDs49KXqovr`tSmU6G9O>{umqOaBAp{512D69F{aBsnNucp5Gn$XQQF+gSlUg z+ZK+L^G!2%qPn?idIznaoIr?M5x3*H6Sp8%I@(Fsjwa)*Lwn{PMF1=^t@O|RSyf9n z?k;?FM|9rDv=6cUO~B`XekUqt?{go7tmu!~x~FC_zWI||M9SMzIo1;}o*@tAV5C}P z3k6DOBa1XqaW9>Jb`eXnc%w#tzbxzq-sfLTRwTk;l%*KE^rchh^1hgZFU!-^3WFmA ze#!Q$XuAW3CtH1RmnaC9Nz8{|8&O;K?U?u&H0!O3evz#=q|<+~N(`4ok*s-66@&Sd zYSykcF>1}fFj32>=BoNtl-IC*?aon!&s4NM21tzk18U1+qAwnzPM0}5+UMV8YzykcG(A|?4V2`9u|DEnCEIkY&^NvPu1ox_Bt|2~&^fcB! ztW5D?TEeR%K{Mq&!7r-|qN!|MHvq5RMtXOJSK@p^9FKDx=GDi5<5h6@4Lk)$jz$9k zv;8%{@V4kCz|iC=y>@zxfjWVqub)jcgQ`IzR*1QzWG@y2L8tFymrDBAX`4m9({2M$ zq7|g>c?@9xM(rY*+iw4<;{uD5dK1cI1WYXJ;nPkMr%Gt(tDIZ!6{v#d}POmQ5M|w?xrQIqU}%Odeqt zaBUO%@eSj1YaHiG`%z?YFa7IM|F61@?JNuN251E3!TSN)oN?dgZ1diPKDeG*B%oJR z72q5;Uhn}&DDj(I97@d~T(=~HU4o!to>QK`i_rdK@A=s?-pi`Sd-%_oX0s(Q}Pe=U|Q* z!r!gzo*4?=xRjD6_ScHuz2&XTH9_$<(K)u6_L}8D{rRp#I-yWVgb4App*N9Jgf9@- z`ZVu6;z4iF1am4yTQ)0k@oh?h`5Q?G+G1eE-4xH7D6wjngvG*zt8$u$FxF1iL^#Wy zRhPwe2gY_%YXtUH75yIGK)0`EH!(J`VT|!NV~|--qIh1kuht`#c05cqd7BcPK!&TQ z1)k}mkQJKap)#Z3624u?&|kU-8q?ZnroVAz%#PtAiK;bZqFe?s;fvePBrKqjB0Cp_ zJwm_ZU%uvfq%fbhCK(ph+uccJh8rKMAr7MnFK^+iaSh;NzzN>tO3Fhf8p9q@;a;== zV=OzR6`Po}b6)kD76c-E-n_N)@*~&0U?MGg%fq+AQ`EOBi|U@=@_f9-<#QAUn@3>M z-p=mjIozX)gdv!g259zZrF0Uj-dOK?ooosngrL()#GsT67QAJX>+J_5bqqGuE`4g% zb*I9t#p@xWO5nJZF)R5i$CgOQrac53*gW>~!07Yd4U+j=*IKhG-%l^_p$d=>bMx3@ z>V}HOB!~wqS6T5DGk1+j)AT=zq#5ZFQfz$=ZJ3r=3Q59U%nx{c%QK#MSQFXJL@Y?M&v zlYCLcUhBUp{s`v5e@pYao@T=c!kFr*qpO@pe}R7%^W(KvarnW#cwn#Px5M z&5q)nd;L&025^pQ41CzpEg%TnDie=yL4(SQ((8fNR zl0s&)F7Au_qv_|0MP4J3S5qg)TN??aAe;5$m&Fze#N0;;iTr4AG3VSj_PrZxvFRHm z9f$cgf%-zQHy5nlaR~D}&&z#&+mjQS;iln>u%psJ|7iq>a~W580R9@(bm1_rGIfbW z{tyE!+GN?E9ACWRK1Vi=xM(*nW==p=ON;y7LRrMy8%U9E8-N}}jEgNc7mCPA1~@O+ ze!M(>`Dk_uRL4XLcSACNJp~Fn^W6(!WsAx8QQQR*V?GG7cDP!yW65uIMj&H_6 z(^f!UUCjSB$PT`XD?Ol8;jurEx&4J#NL<%9Ve`2j^sj&HznejptMGCbIeg%E=p7ZgyZcRhtMd)-3H6!Z zcf;iqQUmj~oJEkpe8gjw=i%0lEl`<`M&3aZ+6RA1jr{-eL-($ZFxQ>bM;qi^Nlh#B zQI->M0!3z|8)x&Z912{~aM2q=vAEo%-Ny~h_W0sYvw%3jMma6DHHFg6qtFWj8(4Y zC{6>K(9lb(_yoxafLZCPYpp&rC+L?O2mMn~`o`iqXdg4p02qOvcJkym-6mLeo$Hxh zzmr_Lo$`htLj|+Gn(B^}>h;Z&n`^;0e%IQ$8dihb5G#3t<2hM-8|MdKAQy;%y3H5O z(nG>>;o`RlAz*3(MMjeXwzlCiQ&Ejmt>En$y=wJr>W3mGEnmLtPGrNlAPT$X#I<9i z{jl)e85*FC>~}Gm6raPw67qJ+LQpU`vRd#yxqG1f){$@6j!U6Yh76$jrdkkL1c6v< ztYtqj%CWNdEwRebdj`gru92012sD6J@jh)pi0&u1}mTQd(Lgyvp z=)QmK41_r9ciqeQxH6@0iN~@-C#5UXo(1mI9k4BxZL)*lp;Zc*e;1k;;#enN6FvN) z+!E4{T1H)%KqDic3Gi)o8l7*+*510Ms3Y2xPNvaa=Ag~EFa;o{I=yj`l(FhZYB)yc zmYFn0E);KP;_#PgI-rQ9O0)ZJrdI3PW>sf~3*R-z z;8d+|MG_W0;)U^|sIqNEth%qjkcJrr;4w*MjKL0kh4ufVvXjH|TKLK0FtH$mM)3vJ z-hizi8W78&^L6#J7X6mIk!bGS*;U6~dOmKS3g=W9al$s;0Xy#LP1?0Xed&z`M&!SQ zOhHmJn2HiF*=*dgm*`WVD$WS)Y(27J$7>;>1|`~BD{1CgKh*e{Eg~<+=uYPM<(5Rr zFW^v{=guOlh!W_*`Brcf(x!2uX4=z)sT1A&_^a4}Fb;Xj(c4O87?&)ntIPR1-D|_g z>woLec5*ZhC9>Lf1fQmv&-$^3bfO^^L`a~Qe@4;Qs2%SV0?tQnjyBIQe1K4bfLf}Z zY=x8R*y1+xIul+e^L}#@)UX-quQ6u>tQuNrtlrryJ6pivx@_9Zg~YKCr103bhjGqc z=DdmkE=XwKPl>CMnCPO;5Umo_;*Mr!e}lhb%~3!qQH}fX-uk2*WKn9QNjuRSXWur? zwQCwVL0ll3)c_k>sZZyHaki&XRyY$QdwAZns~P?nJ+$I=O9 zckq*4TgV}SG{Uh4a=kbv8{fnQ)q7u zVjZ|Rn@A~CWA$$^Mlp*{0LjfI#dOTra;so+gaX2A3?g}&FJM|=eu`F1T9t@(9>L$D zqw=a(Ndc%YG>P|i|E;PqT0AnI)1_|-pBoeI_ezq~_f$b+XcjbgSdtXYz{F2Qk2CiV zelO<>8fo}CN9A1V-uHEX9i`u?4R#`S*5i63`3dUM)E)8$r9xXVgr_Dp+R;$=hA zmJO}sSjhmUg$QoDVw9A>%@cQn{cs;W;BCkoNK2@7+;om@Ca8{UZHnBa7g-0f+$+lc zm};E7N;fc(N}upj!Fayr$%+F4Njx|TF3*TE>cHVdcZVvDLtRToY`>kC(&=#!!-Vl3 z3LL0i$G9ci|36JVhP^%JlCyc+=A;Fu=GEB%9LsoPvL&`wnamp1c^}-`+QV`ndkeXa zlOzOvf-Q)JC_$|c-%PSI;GTy&r*eN?WYWh&tQ-f<>Bd@p77nqkuUgUa-Rg%lz&{Y2UOG#x5MY`vsK{!T5Mf$=qa+K}8X6H2d~v98V4U{XziKX`P2mSFVF z6fZ2t+PGl3SX*&~iKUS`<^OYZS0IuuxLx-n|L<4%0GfrRs|#{QFTO#5X7?>@CbXp>eNR@R|FfNvA|B#+Kfu(gmQvRpKqdj@W0T#Uj zz3zT^@-;x8mf~peca}~*d!0@z!4(oyHeE&$yfg;2+;fGdHyuy_=z)jr*+b}AA14#n ze{ZTxDHhOdmDx@i3Bk8`GWYL0cK*L+=jzdGSE`Fl8N;AEhwhmj`~F&iieS0>?e6@V z8-Snwg()F~o-Ou+^QHKfFH(Nh_3r(T5LkiTq@CYP_UB1?_&Ow)r6+8jWC)3&CJ3AK ziizzYxRHW#TROwjoE(sVMfx0&uDC)3M)yxjmurbgsbzzoe{aDJpeB(apgB+{44jdm zEhRtNtkCG!>urP1vO?*aAt0ZDp8v%yLM-dOy7s=77Opymr7Vsh4p`t2yO7mVLjf7A zvIHx?qTceg6(#;~MPQMV#WTVP(X+(|qjchPu z*~6x|2Wg8sr+Rp1llr;sO#)NP0n`PkQ=}*3XjN@Kr_cwXr7Y9E(%K(^B9dJdv00ic zwlD+(bzz~&jZO`RSe$oT!lNAclSV`b4!uGA#&t1y_7u2}qoNqj>U|4LoWUOkANUXSDI znoyT%0rM?3A=W>;u8*)_F?lqQ{r?x>_1P8FwuHDEJiz_Z9S`$OMQO5t)KMlTj>3XI1aF3P zysnmAIIUECFtHv+`uDv_!G%A*or*8H!XR_)KC#$FW-#({P}G8kFNrVjMt~}1FQA@w zseTw{a|c+>FrZsEW6(~#PzY@$aiS7u09t3lPb;yX*ilsSsGW9JnvO)KU9k`&cR)ug zGw?vNySi+4C%Dh+#m$sNXc?1U=qKcYc>RJ_DPZ4RFJab+F$OrJ{9mF8RL zk+so}T)QPqZ=fbeoyA(N3ftF@r2}oH_3lf+3aCdn-dNP7W|g5`=TfPvo)KMZ>fr|E zG%T^(?)F8-42QkWt6P{>>Ps^okMVr5wjJ5a-6Z|2C%zQx(H@qetodYfT8v4T_Ejq#Dr>W zM98)3ht7`N;H+b|{tu#c_-ePdMfXQu2VC;5*T!TLGbqEDS?Bqs74!2fq%?@jw*9Iz zwAyQd_z{NG&bpX_boC*OJ*@jbEdyUIh3B=_X_XyLlnL1ufy5of?^B5*8^AkS1mGY~ zA7G=Rk8*!BVG5jkZ0K&bx6Yqyd|2&!pT})%?;#6qWy^SBv~3Nu_!IRubq$J%L#X0Y zR0!BYbKsz#yuER&iw_g5uy^cR?BH1Q3;F#dSAxz(+zXzgM zHJkUijf$@8z|<9+SJORW`CWvSII&Pg(=5=*<#R^Jw3TH{xO|kGR#8DsE@Q@Fy|XOR zK=?!KjKj77$A@v=MU1biiV0yJIENe}U0VP4jU+4Er0z4$pi?qd(F>@l^jxCEsrR%1 z29-+75Ah}r_T$8ZdV#zc90D^pjO$XnbjUotv8*!8xD=a6GpP#&DtPJ{rk2{NxCRSE z;Jk?e-#1a1(khXIzMjiWkfi4-VX3k5Z+lNj$z?_h zmmjuPEPn)9+61GTY6q@DKRA^Ls9L9^vhomQ_c6Q}haPIpAY!<)(IHd>2PeXd=Yo8a zRsnv)<3&vLZh=_^l z(&}n2a@U(z+Nm}-5UMnYG7A-lNwY)|t#!LX(1l*zm?NL(IVfnH191g7_H|PJV~E~5 z4;hA^syyLVoK7Ng_mGyIvJDo{av@m_Txds)(l$~-wrCrGy?350)b)W5as95EX;PF~ z`unsKuOmA_873KFwK``hJ7EI8Rp$NylN2_Tx4))hXtDD(1VyT-&}|>ZgU^hu(Jo>m z$+1HOG`DfWh(vvP`gtGFA)`*rkDgH&!&iO^9)ozn^ZkDQ6P?iJLhvYiM%JWBvnU9 z0hhxHuK{2h-cr8pYS~nzX0U?BxVd=<*73}hpRK;f$S7#2D(??qbzAZ+NZVx5B?4kv zi5dPF_C?a5-?GL@C>%yv-{Xtx{SZLEZcpM#L2c+<-T^cpMN38d_rfdW32DXCIrUZD zdD?(leOF}(i!(`XScSgU%IJLt$y7A>jJ{pS8s5$bvZNG1GPG(Q5&Mn_3M zT-horF@T93jfCr0EH)dBCKcQ;hVMx0=hzZn*)pqFajPm!P=(sIjZMB#gKyS^3riVF ze1$o?1U*7`MoHIDHc6ONDbk-pl}wLtlwJeBUp?#K>$jN{3=afHokh$9 zBlU{;*Q2*Ue@8^?9plnc9@%Uj@{Ed4#Nql2yk|}Dl5qyFRC;mu^DP4v6m89cM ztF|rA;_gUD*@So=xEdh=?p%+&UcgfSigT>2FvTHWQs~Sy_jATnLozhFm^cPKOwl{| zu)JJ_Rsi6+XhZtB$o@=+j%1-J{Re^2t`Ui7vUfqj+T{A%HRWj5sg&vtPh9n0oGB*= zBk-yZeL6QLOX&&04uV#_P!8C`_eeLw(#tZ-+Vc|f8_G|Y<*zhl))E!&4P|!N8puF< z=N&W)1#0m&$--3K++8yA#P0zVGK`0`k6;qbp`e$?l5{(PNc3tq3J5|Gvy?wMiB+L^rNwdwu zeTw7;5?kA&g+3jN|BvOBfs)X(Z0zdVEpVe41gYRK>r|>9nE3)kJIc`mDVWJzf1!%J z1klZ1XsM0gFyMqF6}cyzo*d}P(B<>M2#-qIUe!^-2#JA;tLHiP&>0>%-651~j_{`U z>I;Hf3NZ#4w}YcXsaB}OBAV6=K9XbPp{YjMy83@Ly_fS;*c;B#w(3a4ZIwp&hhzD_ zhJKKh*rd|dI1spcx`_Y0s-M~z#&znX5Y|VNb!-A`BB{HiahL+MVs2K~huH`urwGpb6F(7 zJCyBi7N)&InoOI{f{y@sDi)nqsdu8%hb4lzs0Sy*pDDv58;bDmr<3l*gPV)Ci^0q} zKv7LLUmR~ZD19`}*3@Do6JjbTfTJb2mbu#B-hl?l3Xg4c%pVSUdULC^pAw)Wg@NoG ztK;KdRaBG#%Z#Ao?RB60;OP&Hb9iy;Fvt{aP^`9^1sqm4SF4y%1*ijwuQK(}jkPVe zARZ`<(b|)`8sP$R;~=W}_A2mP%CF|eG;SC+Rz%x(2+zhxtKraT-Fc`MCkkD>LeuoX z7r+0!bvzH!=9K$tH2~v!(+4+BQ z4$_wKtpPRUm}n$czBMau7mNh4d>e@2MHv*|B@jQM@^(4a#Uh;KH^^&^r|`+v~NawQLP0DL~|MM4>DIAK1XNMph0I!1qU{ z4N)y8yKVBK7f_4R=WzF{R5>3X3d*x&a$CNA@@EO}(Uz54vGyfM4^eH0>5^M8FRiy0 z>2+FTA24C^?^6LQ8DQ@=BfS9ENN7nYXFy^go?!;EI*9jV4WJQt2Up1HDYPn$AhP>L zkY?Z2XPM+elM6MBl`n;$xNu$Y z90dvOp=jWe->8X>{a_mm19+~bnnRZT%U?&acp#;iY{QD<(=^9*(*9_YPc(EQnzho<2pzTv@sSlJ?|WPtNcr60Od8alext^c6C;lmL= zC9O2HWj0crA3ZV`L6Y+EIye9en}vFO`RS&fTr9&6oQ>*v`rg#@%{cY*NhlQ?B)D|C z^z0c)HhQRDNH|`Sn~bONerf@B95enF+s`(cRy-eKcEc#NmIRw`b(!*jHvRDGd9PiJ z0Q6<(ff0ZSf`V+NipRKu49$t_vsmZJSK$|x=hjcnfQ7W;joP-$gvIpKpIuJmZ*!A` z{yTrFsQ59h)Zx8(co4e|R?@>)*rUnqxhL;Z@MpafIov1s58+_L1P1n!Rmtj)j$mLg zG%Ly#Y#g*8AG`fgnS)#pHMe5j|FT(d`GHX>KV@E2r>$R3>WHQsoye!P-%?S2!q z0}kx28JUXKkINtx${y9TtP5v!LDh3`Od7&%L69goKAH^YF7ai_3shEE>rd0F+;@2 zp%{w<7QY7tdn{UMl6A`3cjlF?K z-!Hp4VcR^0cH<%nI&@q*$hZ-~Gg{Kyq4K}JH%%YCEye~6e0iI;m=Z=2?*V(ctBx}h zoVzr4Kw@SFlBAI%MEu%3#!HwHCe+yoIs_+dDGUOXFjL^6CeDMk9P#%LP>pDd!V5E# z3bjL9B64R0XC@K(j$X_0aoqp8 z7N@#3&kSzX*{Rp>p{Ttr5NB?ofb>)WWb=gtlXrIH)@byU##NAJKT7k|#nsE^kO=h9 zaD-!t6d)0IXRy_i%H>gF0$tOa)}*QIQq-+L5^z+FJdO03-n+dP#U80UMJBWzDwAxo zpeI~$z_#Bo(tob~ZKoYV!QEwT?AVjB&9P ztS+HWuj8MULir#aHMeq=Ru3xDuavDuE%f`iUT1Ap|I&9I6ri6oSLcVNpHb1|fMhKB zZ^Tmp+9%<_A)W}QA^6-yWC&YIm*2;{9v0_h?xE=N9!HibXmo63M0TbN%S(ZHIE<&!h32(b{sReF-A~rsxAod8gFLC{&m`@|?Pyg<=CR)<8f>Sl?xT!9NZ; z^Fd98+J}pR#aOn-$L1RYwH+rs7kiUBIUKw+&2`09VR&Xy;ISjZ@4}u?r8nNDJ$WA{ zW5zQwz7R>dzx#_E-FK~M3I0nVPdU}CDvugdS1*&OfkOD+Z66giHuroMmb2&TMEZN`8x9CzXGvn6)P^|*$Km~9LMHX%g-8h zSMBNBLvd_B^YDBr8melKQ8vZ_(LNen(4B(p8@Q2p)xl2);921TqgP>?DA(OZ9qvkI#XykO zB%Pv<9!!qEv?+V&9BVq((q#pYt*pJzbb1F59|c^TjNTL8;{~< zF6x*X>~)tFT}nfD2IG*v;-)BKFv3q(k6F(99nV6hlY-BQLZUH-j@!qM!lqP$3+Iwz z8SP`(Z71SuFy%t~T)?QkWq!oPyfC(8j?=7=u1NpDFDV{!a3JLgkKWBuFhIVEOY4Ak zrB@w4%*?=W!dpYDi53G`L*_^U^)(Bs&S~BQp`St}bcL!um%4{i)T%QM7F;U&S+pqZIeTM5T=(A}t+6=rAgd2^Ugzw|^~~42#1dc};BO2qn{@ zaEW$SyYQbxf!>v7G8isE+#g=p)&UdHBIv{6Vt z?9gTv1gez*$06d!@1CYLXm)xCkc5&$;p*Fm`UkOTRjLe>eKtY38=gug?+MO0CUNt;yOsl#o1AI)Rl?!4hq~d zY|hN@*oiqiJK{-^@d)7t&|c#8JYXzM`f^40vuDIdZn+63S8J}>;ap=Zf0AwX7Qt&} zg5@f+*iy}*ZQ06zs!h_~^=i+y1B7{p0Z{tre^T?d;s$oXd?!NulOlljNzm4Lic1NCo>gRB5Uc2(v1tHQ%vCfja&opYE+I zHlgl1EQ=6*c0rjrVTsDPzI9pEaFNm1d|6q-*y8TIl*k7MRyN6r?rU8ac?TWy17!}b z96TQs-N;7PaazJ4oHAfVmLZ|`Gf0!cpu4(p-^Hq6^v^3ZU=i01A+MUh68f`-Sr@JW z8Q!1<@nqnHn_d!vw=me9OJAP8oZz+))F2}X!xnDXF&yT1%^MurA>QaT`$JS0N><3E z_Y#JXcf%$wd!T7V_Y!`-4@{S35BD;Iga7~EycxDi*CyY_&D0>^q>2cp5PDDrI%_A# zrSZEL2c9V=UWjw`VZoX62zs%1$;AfhWkAkCqUEO+w6u+p)udUco-8<(`cC|TtbG34jHbsh6uRR4YWD)~1GY_5}PS-xCBuQ&%hh1W6Crn_m< z2C2E=Qug2U1g#)p#|h)6udLGDlG^~6Elf1g-6}e&%*oOl#)?%h8E3}6BO$R`QS;_pE7tJmVI;c{u`yy5pSFnqjPP!m z#aQ*bsdU-+fE-wPVVsTT{b~`{^;#;j36|T9(*_Ml)IO{A&8XEHP3?O(&-{=5AbbkQ zc64~)A>qyKXU2Lu^K~w*4JueP6G{KV-SgRYmK ztU4FgaUrALaPPeC?-`b4K}hhi$He;_w>a!2JP|3+B}y*W7C?{Z9Y%L4PM4NfS%oai_|g2 z|4O3hVl1eY$)N*-|GNUXRkUNZIkK_h(RuO~3S3k6CI2jM(cc}*J4AeR&29hstLHj| zWjis0{Tq7UsVSh?rH$l>}LT%UH%jOUsS$7 z#LSO{#oxMC%{NVft10<+Z4{&?&Mur{Bt}M2+d7w(5D-e@6QyCm(!nPc`DN#jxEVIY z3&Zlvu}f{$2|D2mi6}5l$JAf#US4~{nufLE!j8c#MVoIK4K%KkgslCrqU3Ie$RtaFOyOua|d1SQD61SNEo&-VIh4dE_%S2Q!=-+Iv{OMQ0mv zNUely&{ zets)@{2hJZHV&iHfC#4-H7+xJTCn|XFTzqnVe*&hrUjc6`hU*?3-ZxU@;Yu}g44zU zv=M}yI@_q_UYBIZLX7KfB5K~Ly25%$$A*`Y;O8|jD_x)~wfGFL-|$x%<-24B24i!@5%A!UF9g zQw;F_S?^P~OKDy~FX*9ue!7Z}>GpNM2a(AU6Te?u3}{$T*Yga>Nr{2_S#xID zf+er2a@c^wPd3@cTGX?}hc7R$Zox6qK_l;Z0g&|6OBbFU2%32(WyYtonKjs4d6MW= ztjFp`I?{C~0i6O>SVDT6ec&fdF1dg>uCaEEFEFr6PVQBlbFP*nY8eCj>WQF!|5lo1 zI-#0*oJ9u=p+55m*+%Z#@IYf>#Q|H7Fdm#R`icZ{LouN&!sWkX)GxYOmw7aYg-)EQ0-X|# zc89{|>RVwxJEA`7iuNZvssZ@+EY=Nl!2eRs-}CTvsN1DSa_i`MoIj?)WqqJPzz^Nn z6oBJy7^Aq;HXLCI?WXT}3V$dG5&b(zG8(b6tBO>G4%{cu<+*aJ-!fpZ>S(K}530FJ zi>$#>51!Ao#jsEvXqDz7HyjVW2Rfv?C+sr28$B(UU*|@N;^JnNs)*$}kmEQ&kp;U! zpi{*DJ7Sm9vTKxTQL%{_Fz;gXPJ8Nbpr01_Na{5=z&JfQt3+tB=X;UC4!IJ#s8LQ?o3PPk$HlPym7HZo z$l$!V-^{AAra8FEtj8xT>kij1R{92Y&{P`=50^S75(joxA4?b|oXBo0U+Zc>x}$yC zVN}X!3F0S_@T?V*-&I}n0T=VO4tEso@4Yas5>W~jG*#+6FJIr1?%N?vUrJOS8s6Be ziVONd)`kR*_Ffsf1jU#ttUM*J+%s}s7~qW7IA`b1fDA)94uGdN{O;W%S~qGaoSX=H zcGlpK@ov`ff`aDS_iOpQ#98S$Yl-3gpCVP6qccB5eKAvZgY;wgTQ5rzo}={>U7Y_d z0l79mIh2B^ct%LW;>w#H{7i9mUGkbH<~w@!N0vlZUMQ($Im6j=l)6gselAVJG5*hA@eaAreO>#5IhT@u zCzOChx&JFt93u{V7?qO8c_0hPphcb*X1bIz^>5z_^@sceAmF4}SpvKN>|$e7kOr}4 z)fx7tT%Vh&bn|#Rn+~*4A2c7_>-O2(u-3s`r6xEWz2AIf%I74X^BMV5dvg5 zu~AMuT5KT>4RDwS9psvf!_pDZzOJpqw^e6VWBKqMlS>hE)T8|$hK`^laq z-eW231cQ9rU41njnj$xW4^{J~NE4dRiIm7Wj&%w?kS=Z&x_7sPibd+&^xhPfogA z=Q|P;Ly>HN)4uH5Yj(EamF_xrLYQ&)0XEG-}8N@lMK+$m|1# zFbtSg{uN81AM#;&4Eeg%7*abS0&ygjzAy9lsOb1oIsnT+pB+_>ILA#&fbY%v1^~(g z@@nVf1^>K5HEMnmoX#h_BUL@)sK3J4Qtu!cQ*hc>>xFhTUO-p@WdM3Ut-Y9nfFH__ z5k$t=J)A8?6vpI`+pQh9Sj=0{zpKG*aGO1Uo_Is-0{jgZpTnW^R-1da`&+98zV zL+5N!Xb;7aGxDoo)DBl)UM%79b990KSeR?d@iS)f@cBn=?3VL-uoL(3W?9wBqit-7 zG4;?n;NH;GDzjyRKy&(WMiFw)OnSvvSGFzHg`k!Z@jGQmLWtV|SUACNEjGT_s)uL; zjw8kGPD^scKu6DeMA|&T<^Zkc#{02qEA<-u^=2Iyy*LFms5tu~Yug~KaU(5ZWJVdX zDJ03bz}!KpCZFS@@1cj#m$~y%x-(rb-Jkg19K2_dg|sNOJfE@nTlR0(j1}z48`b}u zUJVoHOlu|Ek#c)kw6&Ko*j^*A&Pw?_E{2u1}gfVXzQapll2BTfe>!=NLr zV(63$Jrv|k1{_s?pNz>2H_LgTV=)^I2hQ*pkc~3pA%($l!3%zSN}IY+sgcQL<;GnT zi7xONRsJCmWJnez4p-LK#b2dw=o@fJjmH)7M<~&w``eU!zxqA*4#RO;cnXtPl~v~Y zotDaO8LHm_r*}D4Qz=~$*7BJp2H4$ccL=fE4Hy{*Q4FeNEXvPs(Iu>BA6z70S3Sb; zLhr}C-4e`<;82ct6@l-{R)}rZi9xG@4Vs7HB5pLG8VOm2`)&SPjxpj?YREzP~v#sfvA7&b-_v_~p4UOs(Y{lT(sUY4I1f!=qw#2w}V}1YmRyUG5}CwF))9Us)5k zcKfGR{EzV&YM`xBT4eDdQDy3>pS6>u@an7 zZCfLlKI#znc5wOV?<`vU8#U@5^+39b^yhWNp61JGNuj@gXSJQb5>yVQr6Ga5rqUbU zg!gqY)MUdDf8R$haMez`M%x&3#+3Z+v`~m^460SEo6Oz&OQ~Q;YU4IPfGfzGnD~9h zW3Zy}5>bm}v2;z$1UVC)ueNchYM`O8cm(5Hpi4eEa>r8D!VqB`1nEVN#51G}wnSHj zyAtm%V4k=)pwVpM%}+t<+-)`X=9dArj&!I;=H1x_u)YeVsGi4Tp{?mkkF7bL#xrY2 z=?*c6(e+}Z1eX@*RqybK%`!BvX#SCJ89U)!v=5YH-!ftaQ8ZKl#{4%PZ(Ljx+apng zgr8D1)s`k!E+{2tn!xg0yM0%rz2jf0 zms1&$o7}#1q4Ja)gJ}WA>6=I7r8j)@KDW)so^_b}ABlxx*bfG^(;Dk13Mo;UVilW- z5vntVNha`Te%1W#q<}0`otd$Hp`sXL*%=ZN*gXZ0sY5DuWw7JpTb81HCl? zDO?!z?gO?y@?F_ec_?^4N_-j1X#ENV7cKEo^VXLFM{=W)mJI>%%-s<;F-8$<(jE1J z8+zlI{M=Zf(blrIgi=HZD^zdtY4YPjz8_lzaM~vp^dN`G|S^FfhnOJLSgc8dJ~cCBWrGe$@mSMhd(j zhqu7HTfJT^F&C>61Po?K$6YxcTz`!uVT+fnW!y=+<0hs;VG52^WX`# z&6h}*#m-)Tedb(io56!(FAU(M7oKyPCvth-NwZ~I%qd}CgUXPoUYj2a;^Fn<-RvJ0 zpaW`ok!NygH(BlfyUKqW@CS~h&*bw*)VmG>@7FLg5T-Y?QwgoT*3fH8y*A*&zRA{g zG+_`s%53kbeb-|Xs={!rnRmTOn=N}%YAzq&kj!1v!b1(j&1(;lK76xD!Hg9-XaFcr zlKflJgGh*C5Zl8dMdR^*jv=F?HG@p%-lJzx8#}~byqLw5{i{66)LS~XemU@PmT+D_ z56s;)VsZ>tc(fE6_}b7Yr}GyIjsl`)VrK3~;^TSG>W1y-2HQEg0V3(Jk)<7d0@^4Z zx;9(pf8^=qj5DmlHu08O%4cF9g3(0II^uXPmuU_6LnjK4e04wBiqV_b;NbY5sP@Xw zZqd=7^4kLxmB|AP?u_1*wD{IYv5BznzAvO;n>%i>VbrgFry}<0%G48)XaN@Jg>y5 zp0OsUo@IV_-c0xkBq4UuHpUFhpJcrq5=$fiBsH5+8Gp)DoTF#yEv1LUyb0U&8X-Q7 zE7%~;Q>JiZ=iJ|x7LWijt~HGusY{+r4iu|Xw9zc!X?$xwQ@FH*2cS^BE}p_#?mDs3 zSRY!EL(bMpZ@kU?cpPV9ySsed(P5iH_*F9geu_>NN(a6TF%al9)%oRe+Dx@sSWS)Q zv1=cVs#xL%o@Rk=ZR7DUDczi_s_*@>E{}oFz*_?Gicz^?T3m&GO$y$-Po+YBeIogI zscM+`@>5L$I$Jr;sqx=M2bI^Jv?4l%-z?h`3%_WJ@34hLehu>OJsKT=iEMo+A9~IL zJxJg(_TuBz8BwcfFy_U(d_4;Ko`gD=ff&^Tr`9@d4Ou-3B3X9=sm{s@cPy#zAqnCw zeg+=qn)$R%UayGVW1_DyrrS`m|%uk8)b+LwiE@_vI^Uorow z5a+>N?Ufkhpcs)gNv(Zd0&`K0iv#=8Sx;q=Rp-^jO2Oh`wnT~l2^X(Bo!E}lsxncl zmdr$ck1!h~v|DSmxXZl?^g|$y)k%+|5quDc*G~2DVCwz&b<9t+zU;YC;M@&&PP!}p zs?FKnd_cxj*cA(0ymt#C`;x$c9ro?Bs~RPW4i#pT1FOaCTLI(o(Eb`i#iAmij^tk- z3_8)67&@uYiT9-vJhft25efv~?=Ecr(y;u|*8cNJ&X|-n^XN2`<5_8<*d>sMl9L6$cYQ zwif;0jI#!r+b?(dpwpYCs7L1kpAb}<;E*lM^IEJiY30*HUrv=89oyl_qtSt9r3pH9MwWx3v^V3~aYbsNb; zoRFY4Q?!aEVZQBJrunw~Qd89E)#=g?TPb!|e?Ghle9g7UJ^ttzXK_#Zjw**&CHXpb z#`F|%VkuEblMrE0=|CYRgA3u}82z^_y63n1&;xJPJE(UQB)e3gy6@%W*TCrr(>Q}S z-h<5$$YTK1EdPL=G6B-u`r~(3o^-84Zly@)mPSMswQKt$iMwS7++P6oCP7^^Ih5$r~Xu(%YpV9+^CMC=- zJBL|Zro!wl0;V*hS7$Uj3&C_NAV^KhTeYPrOlqq(!d1CE5%I}Zw=^?fwz@nY@z5;C zi16JY5_tXWm}3+iq|PBsF;}T)3Tn6*VJ6sg!_IR`S<__cQWRYcLS(CLPdA)~p5LP9 z2(DtPXUbI?r#+Gv)ZJ}W(S!a8y&Z7;{*pbM37Vf&i5mTP`B-g&<9N+MK?#B3N(q)! zX1{~LXa<<*C|}9R;&f5WVg-;1os@2s-JnTKO36WT|6ZaL~3U-p4p~7>K6J>$@u`62E{7 zBIJ6{u3KX8wtx^hYa1~*a|HYs7a>;5>;cJr4q&16U~f6_*X_a5rJBl2+6KAuSb^!D zj`SF|a$9A&Q`o|Z0Oo20~Y$QcB9;MLBFnJm|u=OKE9;Dm^w;8F59*P|{C)9qW zBY%0UYS;i}%M1*z?j*dOj7Tm2;$5rbg(t2{POMAHSa%+`0-EFeRbUwH;MQbzj57Ci z3UL@92C8T_?zN?U%KH~;xA3)P$*S-7Rw4!UJ#T{>TIvSIZs$J8+~$K>FU4r0WM;+*;)T9YCJUlJFCw95Cp|DXrxsGO)UqXDj>q$rU-btUr~ ztG_fF4hMC zZhoUh4AJOZ-8E8kR;tdTtK=~UM)Q|DcX0yt0+7i#1y-DDTy;M#Je;JmG$3oe^&^Tc z#r5o6H3*P=D=7iDS_3%7$h?(C06H#~C(_y+jYI(NbbRktYR2`k&s32&6^FD}#1`!` zC^d|1Hwn1sxQS_eeWk9Hj$$ga8%N5DwwH zg6#tfUc?W^{er9%a5sZ=lyR8!-6D#8pClpMT%VQ$HMC+ljbJIv10;$qOUy8UGTLE; zhmzN?Vm<@yf5W2ZT|)b6)L*1IT}Bc3EhoCIRTlC33Sifpygm@Gy1Q)z5I{jKv73J~ zfQIrk2~xL61WFa1U8hmt)+TCMME9R~_xt>NeCKInfOcsDkxykpx+wXi?#8D8yDS2S zyo_sSVW!AhIt{pnbg_+yA-5C(?D?XS&HSis9o45jmk|w|t}ttFv)E>@6%yt8x_mJD zfX!7g;=3&jAxpV0K!MCX$q6f4*ZHLh9WM-^O8h0oLUFd%q#U z*p|_RhcE#pts+Nm7-6GGjI{O6P?iHHnM+r+?4f9&=aSQ>LZj>O31T&__E5$T#gdBT zJr#=pZBI`?wSW5kik03h*uH#~6Irs^B50MAnsK8Atp+K8<2+_*O=dIvV6PuKUYoJ- ziO&C4_F})cajdlKqp*q~he5rFeSa54s`rEVF?MX-)=Sp44~)%R4(8)6=+6K;v!g{4 z*i_SOa)ftT*f3H;h>O2DnMF%(SIBITT{ENcm0dMSK90oa2}C*#B8B}z8~&jSpd zvUM3*24Ug_Z@;})_?*7vy%Y7(PXNh-dir1Iu1$}bf>)N~pEU3Ye3;{53$A#~wc^N6d(F5IaW)=?wwL3T7jNGA5l+WZj6 zN>6?+ga4*4?H+P*#uzm{3jF-s89)!vf&lOvHXd1y0V_0pUpzQ@LN7V~0k+ zk)Jf}58O5EA-3;dwm6Zpruo?iijlq{)iBg5&wiaebL_PJd67=zMrGEsAxUPlP8qmd z_b!+H8wX>p{Knc@UV%TV1PHAc@xjv~L@`O$rWBG3%v7m4fi7OI?Xf*yBOzN`yyt>_ zhuh-4u3E;(=>kc!vXExTP=jc7W@>WLHctDj3BM6O%+Xnfva5Ueb2m3GNpaIjBYeAC zYPXVV${p(=B-&$)X#4qMBPV%>l!oc$hVItt*>OP01u|xYWsu4J)29Q66CT{Mk ze)!|(*pHHoa>M_>7QO>dYf`|p0;AFfsHV6-Je)u=UEKnwXukTKgx#}m`1ki-^cxXv zfZbchlHiY-3!4!UzVy^|x?K6T7?I1W^AC+tpYshHd!1?V6i??zG=3Fq+z?Vx@X32z zQNPbCdB3vpn(DowKnUUk2V1G(B&a`Kai%g&x^$qE<}RK!VNU{)33*8bv)2rXN=>*? zx2~1rzgkk_1{kJsaxS$Ocjks@=SB*Bq5IF<lxD4S{wSKc^F{VVCr>Su@S1_FAwLR;v5a+{Um_;+v^* z`zWI%Lg*+rq4v3tT8_2|C^v4PdXgiUCo4ioA#YlAIN(14IRIPk=MNiHtgVwzd7XUu zjV#MjPH5^iTY6#ZCK21{w0OYfBjuqjJfC8?LrGL(#--SOK1ZS#g1{;pRHP>Ek%U*- zk&q>KPC78~58n+-*G)=geFg{+6)QV3!>Pr$`0Bq)uNW--)8c1xFg1-q^dBYX+vckb zpNz@V9Gh}Nga0$kL3|1qZ`&AVpGbSF%{sTyASx6*4a0p-iZMwv$F%Z+ws2j*2nE5V zTQo>q*~LP8>H+?ly=}x@yrf+cE_T7crWhyE`4e;2qs9b)0vIVoGu5k0xmqm?J#fz=F==48zTHwAlXXNQ3V)JG$?neReEDWeqPoBU81C9 zT+(c#OfD|3==DxBbIeZ6Bm6%S$0>`)oo{ARQh8c<(*HW2{zi)&z2Bw<}0J#;5lQSzF#bxB)ilptO)(fU~P@!>nfWaLB(+;L zY$jIWd6{_dTbF@=!@#9@*_-v((2dlBzs*~VY2r|g(o`OS-YJLkPC~QlVp=vUpi_Nc zOupbxf#0xRWCPNfM1%s#0eVI!$Smy-L6n>k(S$-h`+Rd+vmv^%*czoz=nnl zK^{_fNL;wN&e3Q zZ-AhgiQ4tt^Z^+IVd6EhEP>+BvrWEm=fww0W3_X%>Y;axt$G7ygLn$ImS<1{HP$ZX zRj;F?h=Nj)u9f;uPckYMlD3}eRD2Tkuz_UeB7M8umLkE{ue6?Q$Z_W9=upnH4qL8r z4D_O154EiZ6uE$qq6EteVl7XTx*HvIvLG4{%x@cWj|b5sd{pD$h%(7ZgU-}60D;oy z#p1rTTlf%E5NFDP&uYh7lRS~`V_$Q_#fbpV8T9t6-QQ^;oz8gA{&2_i4LDs~sFcgF z`^?A90%S{*j`X!*_>9m|&^!<|t;k8`&`MN!qs|GdVORMxwl}cFx#dawo&THnwUU5g znG&Env%CHJu@2>7&8kEg*=h7&v=lb!goAb75J_PH;r^R#&IcZqBEsOxWGfGTcv7`D zjBEpGjcsVuHWZDPp8RBP5!%SJExd1tQR~$W4L>2qAAt?)wYXhEQ=8dgIL z`dsy&>>9o-Ft#E5bV;G8NeZd@Gj8F#CYWicMY}2Q{A#*^cB_=x=-Ii<< zVc(hP;L(y*u5ICf>>(mjuV)H!JHgFc_7ItrmACRWgjoWqv|k)?r`KRRcl%VBJl;Dw zpher+z#8kYez2$3*}W}xYmC%VdZ1Q3cqnT_=r2bVNEh)MHE@s8TrxZGNQ~{j?9pri zwuHN1hm9@9G{QgKb{qv=YPx^FGMK7{Yd96hm#?Hl?X7nvn1U9UR7;$CvL(AhWUyzr zALq>oemYwQr(b1qpyrrsBD`_>pm^hXy{7XHi__>&eZ$U?_#7zSPnym=jRWHZC87qH z)-&c(rVbjSxyre?d}(TIt|MnYOO`|i zMQ@YRV}i8rEqTT7f+8hC1dK#7jVA0Z*IiJ?tSEAcgE^5v`)%Gx zMV1{H$Iw-IeN3tiZlH;g%A$G#ka5Rn5JxdmWP?-b$3st%ka(^f_`rd~n3SSFmtM)p zOU82XlUSh)tAZk8LWsPAO&mQu_32YdT&GSOq*^(J^dTo|4q3+A;w(LT)$-AW=HFDP z&{Hv;(PmN0X~aSY`ZPZ3VM64hHVfou(4)v|MI+{U-Y05C(kET!5j&2dz9Qd4&zs%k4Q$@E%H2}?O1!z zpQ>$Q350k42XWu65?QV*Ut0KfK+P5IrSwC#KSO~1-vTFPCUk8ZqOxlKrNz`|l~BE^ zFj$TCBzPUTBPPpiH3p?RC#LFl@6}|NdXZy=UyME);5zeA_{xA5*e_edf1^qQX&zBV zXARi2M*Xyu_&O8PDIcyti4Q}JjK@|5&;PoRPs_8xr2O z4$YuB1KP}to?kH!37gov+)G?m4Umbx`8HV5zh|&!6W#}L4rub^VIk}~F*gl+<(AFi zfPCfi<%@KnmuWyZ_&h5Do`?g=iaAI;w_1*ZI9tx{i|IlHUn|-rrd-+ezF6rTDNLhU za{~Kv@uEeC1w&=JQ6e<2HNGDd&Y)`klmtsqJ$5zTQLp(DI=lLvq6{T4j3)0ybG{<) zuI>uYWPw=R0H`o!Mple-f=HKYDcUlly%k#9+c(F5eM8P*tEF)I@UYuoz|hCNU9Qo_ zM+oHuQ|Of?N}Ae|=$e4fq`WGe1|M9E5f?t!*5hUCe1||Xts|iCEK)GTod zVdPQ|APE(b4~Ii%!48j874O;${MglFrBH-qNIEl*5z36^6k-c5YrE~RY7zuB^yqS< zy&Q;42m$tqM3Q zN**!c-Z6l1l8u4w_3{SX$z7$JmoNaz>LC*fS9c9k>>`mG6M4m|zJJeI3e7!&kn6@I z!kPBuzuaAYW+;^Ys59VyP{D>2 zqFNkzr~bL>upEW5g+9p%I3~FA43tIs*M=F-=JmaN#FmZ+Aie! zSnTNJK1ySq$?U~&H=7i5>TlNMXSCWHT;)Q}n}7hlgB7cYc4^;iUmk$YiJn#2ML!LT zr2zR-3qxlXQdDDbUYa&LNgmPTxAf1hIuG~CXw8tAsF@&n?Pq@2cklrjE{dq#U7h~{ zEOx-T@tCrw4ZCFhRR`cR#00~*a(H$8f8s9FaECZ*=>dpjxsE2ruj(fEpTLoqfo(Az zE1iaj9p1A1@P^4(D|Elt+K_E4_=Ikz%BJH;>Rq}6kho2KR-Em2?tSrz!OKNgGgHUC z0)kKM$`oo%SllV2?cXBXQLw-AL!$XIOx%CDFtE1FkBS%K^VD{;CVjRr%?N-Z#w&)4 z)YwctIvX?U(koLMi=w7{``xxmCoxcfs>CyKw&JZPHBrUtV=6JyccdHb`0+@aE#_G7 z_8hVqc>C7f8=m$S+vcKB7q=C;_^$52y;oP*3kuv-SiADn_c1+82P1WF`39w%v&)R% z{tcfW7zMXb7=yaub?u5m7J;caLFoU2JQkOM>*UNd+dD0EVTKb>^+gU82O;`JklaU8 z#HKq^G0xny0Xkjv5v~g~_Y4oHw2CaO4=ZT3?E;RHbOOgb>QUqPB0;GC=DA`(f($Ba z%9bJl@1%Ogb5_hM5{8QkiWJSxs&|JYhW2b|N}kTzsaU71!(_*W|BLu%8qoNlg5``fqlf zM`Swd?m?2koLbR&O{QB{8yqD}Dw0o5Y=PN{^OKjs(|jB%(Dl85RZ{82&?>0pl2yGs z84Eb~H!O+MsN3K&O20s||DXZOLLx^mG_exGOfE>ooX5&uU47m)q@gPhDC8_N)^t=z zx#by^p)r{=4}Q*%oJrk~L;7Fai z?QA{97~G(EOe*HEs@~^ZE~B4=K2WLh-;KbiqJRi?Fx%4O!a{+s!}v?bXF7M}7+iJi z^Zhu!yRUt@P0C`isd!BO0RvN$N0AP&x5MbYGYF1RdVpQ6A%0|H>jiiF_%x-&W?!GC zMkRbg8H(|3_n`#BrKc?r-d+fJLCvVj2;l3`fK8X9ij^h+*|BvhB7*4qkO0S8FcX8dydZ`;Glkv6xs@AlC zO>2NkMnMN-T+WABfs_l+T#L_ZaNinN(~d#ujzH!}Hb~n-$`e!HXm;*;lGBwN74b^qOS!8Z6p|;VTtp3)M~s z62u&ipD%DQ_07f$SwM3jUE182RP^U$vYu6Ar(no(uz5MFNf@Fmt`P)gjc|DNqa@fo(RBDiwZ68Aw~)QS?x{bxbhXh%pkPCp(t&m-Ug(v<&4O{Eu|( zYDa?5gHfAiuN&n83wYXwSM|#wGefp*5b7~@$KJKPE#rK>nnFmoH}(Oxt(&F6fGyrU zVpYP{Q@+z12=yw2_gE{vcqnX)6|t2%9T0o~akOS|qk2&A6-V^DQus0hqH^D(uJwmb z5H{q3NXx|=US0}PuGl&i5@j2FXJb^{cK!W~+Qo08)w@^etoP_ua8XXFZ4$oWZ?sQM zqm>CLq>YmKT5PMz4l1|F>_H2K^X-cux_s=bkO#c*Eof>_CRI#_J4-A45FxmS702t^ z5O{$)+Nkf`IAPRUct&k?!__~AeM~|#mUjK;{k^yTo{*YM#Mco4WEZ95t;Y7t(U>A% zha7>H-3qlk>>v5l_G4TRgc#U(EHzC~;H>rO;3H2x3>-hPX5GMA{rhv}J;GCayuw`P zzlpV3+q9EN%xBjomnByI1hEp`q}Dgl`tj-=_Wdj#0A45w=z1pLxn-iN1e>Xt!}ubn zD;wJT#X6=mI$rDo(L`~c7}3<((xJAuC#(56%xR{H>}2cHlB}BMYF5V9g?2(fw~^|Y zq8VKxzdb)@3lsqZDoCyOYW7~)EhbW3{X7d7ShS$Z!IvfrrhiM`fVvy9ZdDlGI2i*Q zA3O_Uz%^fsXODO~NCtzrilS;gk*US_I$u5KGJ3vFto|&Qv4D1qW!xi~*t;nj3TVwP z=&z=*UdwpPSg^~|(kHs=xY8odnfhp)-!MScbCef=Gmms*dqtnD_@6@ZqZ)Z=3H+KX zXN_<}J+|~1@y^kmV;ALKE__=}ov6U6iBUI4Uv{dr`Fh><72a+L1JnN0ddAgXLk|yR z0hmtb>~uj1Kz3UtU6G_Du>92KtM(CONuP3vuYO8ss}hFpJ6eZD-Q6Js(+lh~ou|?v zpN(aWoS!4oO#Uc|EX2&>3z~L>sIL}-0vnh_J)W9G@!;Ce!t_QOh=mQ`yFedKd<~gR z2QR?FCdJHe?!SG!<%D%WWDiU$!%1e{&_#WC71RBtH3ZVXR%wM7eM7LChCRn~zfF|a zMgl*OvLm}$KSIQr?M}hZ8|cbq?GXomZlHiWfT4XVOUuQZrZXxUKVy${#ph8|Kp=k5 z*-L;2jNkt$j9iR-ag(|~yiEPReqN|*As0eHQf0%VJL=maT=>`OcNK$$vMu`7NKNp- zvjK%8exq)#Ry@3D3@)u2V{oRt*NF;LV5&bR8EaSeG@E4quKDWJLxF$tW>{1JM44sA z0_amJBuF3xKPfVm+`oU->RxD>Fy?YEyH^aW*e*}KrAz3Q1r5)x0j7ZF#X5dsFbY-2 zMM3gxUY(nmRhIh@KVy1D_+@{pBX&IsTN>w)>T_MDvPL2s;8U=$oULe(`jLNGLEiA(MxEFMu0gA^7vl(eLnT) z+S9!4k3CJ8PXw>4x^h_>77O^hq0asSp211lSK|K=`XB|{PqLQ#o6A%z=b`3rHfmoA z)Qa4m+4*2RAX$v(R~E(TAwl8WnOiWQGC$X;JAn)D&Rp<97m-H`sq6#aYRo}vnf3gJNsOd`nHY$2r@&=E6=6g~m zx~*yNHd)LKm5Z#cy$)4(k&sG&f)Br?HeZd29@M&bL%6$rA0EOy6(~H=ziR?mS+FlX zwC99`8()t?T~6g2uimgcyn_?Tz4)rzV&YW7Nz7=+86zJjiF0$*J5@>RJ+aI9eCQ%H zJwO@l7Lfq0_d9`6|&p#P%GP8BJB`f(hk#;vZOa|J$X*wQV-IZzZ|4nihKnk{PX8-85MY!J+Aiq9epAY;>u2K?i}VPl9k+j zIHFNO;SiiN*F{Sa87vMcOoaJ2=hH ziX*DcA=J4a8K`JFq=rYWI0x;%@+N%iuDa`Mm23Ns*z=CUBNJHLY5;}}#fV&=q>IaW?sB6`{g=nEH--(2PuOcRl%6I?Hy>qORa?au!vQQ zhQxUQfvIwlSSz3^wZ0d}!o5EeX^F7Gneiv~1`)jClqc8pXveD2>t3h{lS41{oN^x+ zI^aS|CY+UK1*|~M>P@VgUX=K_9E9AEHX7Reap02iV&7I%M$i68lxh*qydX=IiO3mC z!mj-Sji3EYWST`6jy*!B7+FjF82Zef_bsQ0`w|b0i+n zRYOeBqQ7e^`{^76{GWs2%-27Os!0;4+taBrz<({e58eE=$+aJA`l#RS4#%Tn)v9WS z+A*CzQs`*6=X)w`5Q*H9Iq>3!MD{8PxxyrqzKKxbCha>e8ANV_-!<4Zfa z*Em&1EKP~F$#VLvV#JGsH>=n6ePROz;656AoKu-yaf;%^getbGg++$PMN$nzwcZUy zMPIhV*P|;Mu8l;%lz&cS9;ZSqfUtEfj84Ym*~6=`Dp~2a=RM|X+)8pqCWPM zIH%O4rxalb8L+?0B@W>?0{aa3=O($mS8apKBsD>yLi4!*p${V8r)^E?y7C7>&P)-w z5RcUcxN78wdCcQ;z*72qkT;K7Q z`StR!c~JUIo}sEMOFiEtEb1!v=QW|LYi@cGt#z^Wc_K{C5StwlwS4sjb!|clNuTsY z*+yqo79DewT=t*bh!uO(-Leg{@Q;H~VMA*>eEBcI_XK{-o^CicFh`*!cazJ)ajmce zWiTH^bB99jDfH5AE>fPU1(dN*XJktf2|i59gzJs{NOiFGb)6c`OCuH;Of11l&~7GS z?1yf(-~(O17Lx(~cjBX#;Kjy`K^hr09?o7#bBTMF(NfR}0*S3aM}AKx8jT9gk&^uC z6EX3K79cw*_==DcSC~EC6wCkH=&~|j+p?{p5h5^Hx*>GJCF&-|AvxY)wx4^o1a+8w zwF50NK-0 zSB#f+KfZeL^9aGThP(-H%5ZwDGEm=@or77r+_${f!DR`&qXA&b+ayCLR_I_6gfD+~ zf^01;#{ftos;5LMga%akIN=Cf*-q%f0vH@l9AF?YJj=@|mb!X>f8l167TdKFy{`Zr zK?(c_6@r7Si+2>#e|z!%>XsXIUyy*~ehwo=&t0HEfJz^9N(V+PY94yusiIWPp+uRgVj zC6K`q0YSB1cO{7;1d{E0PBIU7;Wj&pO~JY#k{0X)81uZHbi+y{dAmKrSjR9ZuYz z3+yz{<6(L?UX_DLe)>;+ls|-Abo)TO45ulGQdWLOcD!hz(Rn7qban+AzV-p0u=l~d!zc?8ry*_V0UOXzRTD+7JZpx&4FrEtRyQ0SVZg@ z2LNtcn&L^Rk=p|tl=F}+ivReh)p!!~oDhv9EDG;G>qN>U#mQ~Z^co5Y0AK=ai+=)& zu9Zrc)E787EQ-0ScdOC$p9i_}6(O;Tp_L18-mM`bXfe)BrJ%7PiessQR5QiuLIY7q0c`GkK`T&?BHVnkx+;3_E!_V?8 zeAR{uaC$V^(+^j(xgV#T!U-1(iw$R}kNTaa{Qm|P>p-54N!rZ=srMRF&{M$s%Rpb;Di!*)p`_yn~ro6oDS)kYu*f$gCbuf_|H*$}-B=ABp1VvIw z+twQ^ow5gHCZeHvmOYph$-*lomv0Q&BN5*n>cAknx%QLHxt+s*sc#|diDU`=$cwx) zzuHH9RKYZWUAMA%P&*JH6!e%fA4HZiO!5Y00gGBIN#^1?dJ+HASgO%#c5mb#p&{g2 z)%sXSo|)fQBi;MPsr&UfgvDeDrJ`qM1^mL6(c|{Qj38=Nj{K3@r1Fo=Ozyk;RwC4MgmdFR)JF`^A$ zO|#Rnu??3Yn+d!>uT^=(<^g79m~HlZF?ec=J?FHa?1)pNLh!o=B90PKSQc&j0=Gz3&P)Y{$KxFOJ?q`^Ex-CPyFQJ! zm;C#fsx_TD?Oqx`AW#z>_t=cz55g(Tp4?QpB%*MFiUnZm@N-ia7&L@=dKhmqA&Ipk zG{t+?m^+IEIN>0l<=h_O+xdI5G^l7^*j~W&d!3z@Dwd|9p5%*}cHI+&C;jXv##=>S ze31F%(Oal|K3WRY`xQSEvD)tl*R|5wbms2>SI~K{mr9hKWvfa{<(Iwhzj8!Oe$Tap z;xz5$LO@0T_3Q9kvF|EgDnHKBL`NWwyL*8$1sY*KKO`u2dVdFFx8C%l5GE1tvF4a^ zujtHwia%U6mS?oXI*1yV5ZOX87mh?wi;+3zmj#C<2|l2|S)8G^9A6ahpu2uhM{}!8 zZQRMI&P=>A$BGkbiAfD2Dn>tZG2q09w^{V}i58iNUDU5F&XVQf1JtQ4ab-Ww|3)Z?Pms$D1n zTvvMO9GA^*Z>tcJf#J$SBCiHs`l$je{j1Egd+yp-gI0K)jl0KkTC>S%UbMpC;I`?3V^zRNaoF;cdJ_S+x68p7@UpKP(zPtK9I9(i+ zZ3J!%5o$oQfGS!)!tyg4rkejf90a+b2mARaE?p#q)NZHI3^w&z9@r?1_QhVD(epPTJxrZ7t985$w*1Z|CUu7U8E zx?v@fnFEW}$f_S=It7Yy>9EmXtNiqpsv?&d)_sd?f(Azi1q9wzu?hW4AVF*XqgIu* z;W2b8xfmvAnSAp`aX%A@fd^0cB@X$Tmb{ch?XO2&!p+EegWLT91yxCm0n2qty+POj zVqIT#Yi@~gY#0gBuyPhTdDu`PU=}(cnHwYn7(ybsv*8xKKQ+65vV(s^oa-^*Cny{D zmU#?j>9H%*24GSA?5#n}@CDi@ngV8FGFqK^0$v@P@e$4mlI_jwVG|vBpldRzS74|0NO_- zo$%qa&_)(3l07@jEB*(w5+O2gt)y*1hQpfvvKKr*Q*It&ti`r`<70SzZOXsfF2{lX zR)__KS!-4m&k}XifM(Ct{N;GtH>QmvgG=^Ok&Qo!c#jYt4>kv#_P=|e(&mQ_TSW*$ zB5bej&;IB=q-(9nR}YA{gRe%!mI^vdGq$kPtD*@gn*qZYS?;M#-s&!fWwx?VBV+yD zgqANAXYv|kmNk0Dn@XVc_O+=O4<{_Q3!e-0w=QYv0IHONn%nbGLQl1K9>L_Qc#nMc zXI{DFk;js*9y!U2Xl-|RIaGw6IhyL32rzk02fRMo86K;he}4~csXR-8pyfy*i0?(` z!HmaemmXvv?FNuT;b?iKH2c{T9AQUH@JTg9Z-9{(+a#uhFCxjy|Kna;{pNW*P z{8UR;DtW)T>-^#x!=luZ5DGlnb!>dZq1fF)N=B$OV6^q)jrwzE-QcLX1tiK_b_a2$ z1ypNc*lq^_y2HTB7Ek`oeCbfOb;+|J(4sSDw|hWX=QKe-A#wSiX>%eSg+ zFrlCBXlnMR;f1BOXJLd6ri*HS?3hRmt3F(+vUGDcIJIXg)*7G3TU)fjNGZQvbzV+T z_VrD=4@z{vbvHcvxV|LiSE{Xeg`pPoDR^n4^$p#>*d$_eMnlfO8895?9A!Wjr%jS_ zPlPF#IStBB98VHY3X%Ox(e;uT50cs{D{2VU?aH3tIJN)UKbSxxH_J=DwS!h0x3AP` z7*RwYpk{18a(7QaQExnje=y*6gg4e!>C!w1_P{!BJv1@yvbF|xZm%nd8VOcDMDve2 zmilLTpJ}3e)r{0zGy`|(8(0-2r4U7ive$eCrTf1~Qm6BL5NN=Gs)4}?1}woD>(shE zQJC&QEsnd047+|+{>IDvA9lt`?bE0xO~y77qPvQc0leIZCu{-mF5_yInghKhvK;K7 zGmZa87AKzU0vIR+D_G^dgCxotI_h)!A3sW;94dB~wN~fS^4bylIij=mi5(V8S;=?@ z)oJT)F{HP4^Ob3MYAioEn^@gy9EE=Qt5_U_+vFuR9w_f0zK~d}B(-z2?0qQAgqpJz zLG8n^Hc>ra@XHT92_Xp@%6h5_w7i{@M2(vSj2$Z&_ea^v4DJ|| zsO%kP!(aG(84)?tEJ#Q;d+MbFJJq0qIUo6is0Z?6xkC$qk~o4OVb~iz3Uc>}NGg-C1KMsB0)}qE6Z`-zr35u7sV& z;HSiQxfCad)59M>$s14i5gFwg z{g7{VnYK-F|G_q3m5~g}lx()d51dADSlgT-<3I=W<~8{coIc*V8zc_yuE^Ty3;~rFqyx zvn903t9X_%XS^8$!z{Nc=^`>w4~z=Y@T!D3pYVPK;omMNfsTcb9ax~Vk_-=`X=ILW zfGG3(il?Z)8Tk!B*~29fTo~N2Db9W+g+`R+eNb)b)6^Ot`jpkUC#sm798B|g_&u}D zht?k%c;j;>@1Qjd`j7Umihq8W1^JblS6)h93}28Z^>J@lw7Z%uyzFMjGf)ROTQG8> z@ot!GcG!l-W;WPohJSIhFg(~sW4`=&=RrYUX(Ypo)?Y~WnyJ_a$RaNi43MdbM^R@- z=9QA5o%EsD+kpbIx2Y(x{#H=Im{$%U+Bh@OWuj{dbK@*-;Mws`dWp?;vM~iONkE=l zvQZGPz4KW|FSNg)%WPlVAy3>03D4yCDsV8a3M;WM29E?Gt%L)xhs}9nKZCRK^94?h zng^r`kw28@M|>pkiY`3J}L5D)ul&46#hNVnla~e2H!zM?UR5m7nS>k{En4tCy21 z+|kC)5L5gcLR1XTJc6B)m+W&bQ-yQ=iXT8f!z-&uRdL&`zPtT#6SaZM%GJq%>Pl5aH@;z2!P&~G~%{bH7KpE5<| z>#SBDmW#Uj9n)51Dr-tqlUhEOj)Yr_A+ZCr8_Gt?5@*vA(xHBQM`=ngUpkIx_4`q- zU=6!mR$C0+8#Clg6my6qa2HB@_FHi%n@wvtCKb&{<lK~=hYxpZ#Uhmw(%O+BIMv$)Frg2Wm0={A zsJU_a`rns69v%9B_Tk~ZmgB_69z{6$02rijvavbB@~R8-B9Xo^Z5fw`$k0`+Th

yKu4!;x7 zS2>7K7*iWQ)+hR>2BBjQA#=hrj+Y$#NU>w&M!Uv z{tErEZVwN@(gITidy8NaYEJ+l@^yQT@szorjxzol(b1u|7^_8k3!9J^QcO-P&S75XQhatGAXI3tTzrGB$%fNQr zyRMwM;o(J5`{YW{s^sE02K5z1C)Z3A7%s|!28}AOYAB8VRuac#!+|9TM&d*^t?QpO z7MfkWCp>+Lp%w=}hL2INf{|{$N~>|(4q3zdx_ghSffZK5UmQWxW8WkoJ`W3&oTk7U zk$V6Zs2I5^BFU;3Y}&|Bn|(B1uh&LDW~{F1S=ynX@%uS)RfE&E@t`sEJ*dEcyjm12 zrK=xS~;weJagI{ZDpMhLCq?8y^hkzoJ;`9{I2tU$O30(V%-bc-gT#>@}b3 zh9XCh297m7w32)u8v3GhdAzD`UuY*bl*WYGFKhX8hj6R|yX4XI6Uw z6qhpxSA~Q@8&C-S3#*6=mgR5i)Gt*r7A)k_)OQ64M@^WYbk2=z+Ljo7EN6NQbA0CN z3rI(Y?BM&LGK<62#xU%Sd zRuZFLBKPryzpJAWnOs1t=NX|YcJPlI;jHI6)h_B1eYYb7Y$riD7FD6d8Gx^d9-E0t zcv0SKfc&bwl-}8>-45!KL0)bTIM|jUi2aDdC#Atgo3K|daPMhA=mP) zk!`@6+8cJeBkDvci8rT~EaMr~8qcBBC#Rvosr^f}>uox2vSo9EZ(8_idHqh8=V46!^9Josbk`1%^d)j$jrR08=Hn< z4xrm;N;-h_NvB4NqjL4Nbw&C}!ruhATnV#in3SEY{$$u|X-7dI>g@?hDq1jofQrD3 z5c{A^ze;gMl#m@#On?U>NBD(Ojb~Q%V!igz#KIx^8T{%$!UyIZLpygRT*cw;p<^O~ z?G^I!ZRq<_8DR>@uAUweH>Tq_G=j4N9bN ze*`O(yOh0!`03})Vg!6-M9w4p%6O@C7C>VMC7x8?<&%!fWy;P&NWShdB)n%BVWF9% z7tAP)s)Mf^$fcvGh;E3M8)QRVZ3eA)jKD{+_|QDY>!)N>lTHfG17MXCf&9XYNUD+I z3D!1r#iW1@jQ30thJ+z9-*%}r(YUXiqNv-Kb4e1(=UZbR^#Le9J?%`UUJ?QQ9}#7s zLuRkQCB&?WC~QiY8W|&;cSxMxrXu3>KF{M#t^x0^u1lnyQ#3w>r6j9PsFJHa*8TTy zA9FG7y2jU(%m_Xo!KTr9A1g%ScIL?-xFyVF_kQ#eFDC2!`s*Iu&B82RaZP>@1S+c6 zGjhD=(2gB15rYmK;XNhFq0^lesbWmrZXoSk!j5vL%*#wU3QEELxc2rFp2Y^{_1>Sy zSRQJ!0ldYJn6zMkf{@5^8iw5=8dBEOReHe`E890&a2OcS zi+C-e=uIm2IzmI<<>WvnJ;Ee-e-w$!fd%gNX~ZC=T| z{t+!xP*`<$&GpesfI5}Z{+|1$xnmlsV58i4<=O+~&(VFihfD>e5Po`q=}BE}v~d*) zhU-+Nbvo%8a7`PDMNA4)4KEXWW9ghtYd8X#C6Xw)`Bu zhzH|lHTbd2;MIo|?n@HogDJT4mDX*K3lQL6$`yWb`7a6m?9!$XAE>RLtsQsLdZD}# z6A3$gl6?z}Yngl>Kt0CLOFMGS*9Pj3JjwZhwxtLyVQzcMQL?R9<{rRP`XcluUu}lP zr5$we$O2i#4m*Cc2N4Wu<3^#0^4rmabGbA$_fxLGAgwRu+!5EA%t2O*X>5l+T zGG*3h)l-W~4b|Mis?!hJMwx5fKj z(4_sbl#YIGUQp*B7W=jE4`%6!zz{xe0$qYt~__A>Il5sJ&b?Tt@KPx2>Z7(BmLn@K0Xe@V8?_jTUY&d{u~NbX?oIJPF=&JmnR!-juf7sxC>hUm^vXD4 zT~y7?hraQw0UsbQioGRxQZE~@W&~*c1pL=V1d1dG;OE{*EOT}V`Vz&IZ9WfO(!68u!Rc=xBJgt1 zRQj+iY)Z|_$CyHjcRpU+}lKR+|SH^YnNPD=HH z=FNb)g;np+QDWkq7p&?J!72!EaRDI zV%i)OqnWC32Q(UUqjLpHXPQqZo>Ym>)$5wdcQDXlv}WWI-4Hn^xHrc=wU3I=&UL@f z?oO96JwLx>phzbjG#}c9QcGl2I2cqQu=V^&9;llI{y>E*rVPE4t?m)tqvOw#f1uF3v}$0x9Udta^FSFuz7F{k|z}BV*m@{&wgM*~qkx`n7Y7 zU7@oQ%378KkCvGB3B!OSyHa-dacdz)lof3y8z2xD7Q<{RxVDG}H^EvL*Kcz&AI)8r zmRnL#6Pr*YIKWv^V0fUxZ{0#8Y*3npLwKURtyRa_A{-4~T*-iTR(lC&;-5AU@fz@dmC4Fmzp@tHb`& z-xjOsIZ%mLTQ+wCd8fse+tgrT+L1fQ*-J)-nVH!z-d(d$9mbAd;2~G8_Z9ce@pM;w z+@O>Or?-k0?;e%#;ggJ1EKX8pTO%t2A;5l+4@_esP}(rs>nZ7tMdzBw;dm}nVspNr zyL~321BjC(ZoCa97QJatN~(g*l5t|?C>F_KLr5Q;v~R>7oPRRi>M98SZb4w1aiL4T zj9vXH>qB0bF)ggM^0}KiK?LCV9ReS=3R_j6krox$#KcHEHabl;&g%jLE1}DUk$^Ma z+x2keY9$HXd3NOqajej@a9LFgy1dXZIAUaRI)gI)XRtZj)HkroHO!EFwd?HH~~<<)2TUK&{r zG;*IprsD^wO2)n~tcn2I@8Cnw$s+t7ieER(3t)dmmKXy54|ca%9Hm^lnH5h4kZ%x$ zFG!YsDfvuOh~~B)jjJT3^(m(7H8^Krmh;xbG7)mpWVL)O2}yM-$6II*^L6~scsIgt zNnsnx-8J{4Q>a{H&d}2NSig7y9&r3dF8>S`yLm^VO@W#2>ii-O5bXcvfAQB>kS>rVlr9W7ku!D+~$Bfx}T|N%*Yo3Gem? z>PWMEg=6A<+**wcS)D+^-si%Icix z**`8@Qlw0$>m^cjA99o%TnppFUL5Ci{a)hL`m}`X`wa5|yce=32l@V|Df(heLPb@5 zj)m?h(FRS=0j`_+@_tvBXdu-KQ%t)L3fWsnDDj^hcC!*^-V%s_9$Ku)!f6`l1Ck_6hk*}#WrH=rCu7f6k*?}`Xi=Tp)3#T2cM>H zTMly}t*QnQ_gu`Lal|J1Mkj-EA%XzP6^JPN({p_0lvpXB8K=Ah;Mo076pL*Vz$(ih z&S!_m+Ph{MbZF28?R5-c)cNf6h3hMQARLP*U037n+cOh|Q$15eePwG%a{^r5+{5A1 z+dNO7Z$6FUE;%Cx&8aVsZW&>o&+qE@TSI6sxK+-Y@Crc=0JDjK2>sZ4^gB4?2sxhiBG6VBM#QrC6agN1s?*-k%J^~k|(a-pZ9IGGJeH~KBO?#y_KG$BG%WAHdU3xA<{VkCS_LW zn$X%QD1#yRHq}ocHQFo{wV22jOU67#1{$iL39>uASBEV$=XDj6dy1pNmKBATUM0fQ zL`n=Plb|0pwuc~K?vk8*H1f0g#AsA;!>AtwuO22*(en-L`SL$%YYB4EH9JUdv9M7u zV2R1C-M*iS7_sUUv^e{lQ8H+XgGHJ3JN0;)L9DVuN^1I7wx6&R=?7E{FRgW|HkU@$ zWu4~8ATlRBSrX-_2;DWXFKx(_y@>_g-qzaezLF7#1mdPhXW~0qXLUhbZ4ZGiie^nb z_pQmhb@BqmhhJnTO@&rx)$ar2n_ndxj0HXkNaVa7dL*E%ZaI$`gMA1l*oyc zwR#+QO%$n4Kgpi7tvTV3V z6>mrg?WT)&8mAPp46w_}vQ5ugQU>+Niv@02!H35M=^8MjHJgVkjC2>d@da$K%1whO z8~e?VV)PP5s2DNgdSWj5F^c*aejv@A%N97Thpqj^LcVR>$>M~us4PXsd?tyxqPa5P z(!xX%D9lDpPAT?v|2NO%j#AlDVPK9Rz0FG8`K;whG{_*fw(o_Z0xCtddsv!J11*;_!vW zf!yP*OQHY-%+vgC^-w>^1DX9!*kVMOr_T$#(|b+=9R2dtPG<-lounCv6-ME9fQ0ZJ z4+LI_mZ2q5;QMvJT`^AKaS=2cb-2bk!EsK;AGEVmnsVq$ytn>^GDwt_scX+MWiaHB zEd+fFuJ?y?p>^D*V$Vj9`62HUyECHhI-}6CZXxYSX}3||h}4Y#bYO!>Y{xt!O&<6! z9`Uk+&oK}C(G%~ZPYm0h>y z{&=!(_%|FUxXqMm6z{OqK!pjtp=L-CRES@X)J=L=xLPII0H+0eLJx>)Vv(3!s|gW= zA-lIDb#@#1{H(m3pM~9V&NIkzbUA9THN(N_;A?_T1JiLM1&iq3tkN-8Z8&eojwK1; z@wZEWx$#gWe)d&w1pUu>-sdj1`7@~hSSg)?b0diQ{?peLRl%|#THB3nZM;5X9h&(9 zW`aQhv3g(<`t(w)s$kp%{b!Vfiw%$G;cV%dbsl%&W1&vf29>X>Hzr0hc*6K1%h-=IG z=Wf%Hf(P$+|I~{fkD}>N@JC{mn!xQ{kvH)GE02oPZ#hrQd?Z^{V6l7)9UkDCDo>l+ zSv;=sD?VJHfmB!AMl8vY$Mozax@ z4Jr&YiEUrv&Wm=)hdo&Z?VFWTP_hEJ`d)Yh%{p^Omz40f&KcO0mq}XZ&6hC$bm78w zS*xz5O-HW@G|)_y)2{VI*jU*Snb~>jl|@Y)c#`Dm^d{bb!vT*^uIFPg4X2NB+*sCi zIJ%;MuL1Dn5p|>2F1|e_1Hd`3c92hD-43-6)AuRLOo%{0dj!q_3_{AffEmR&C-~+d z-R^}Tb`3xIRID>&q^Y*j<}gStbU9iK!wr!*@U2O?v>PJ;5a#OsR`9b zc)qZNDn(pW1GnvLk|i@D%yN}E3kXKG8~yv{*8r+{xXncIGPh#ze|$Lm<(e-vj$e@1 zxffw1Q(G?(fXk}3B*dEcslDopzYF54+;AKj;NYXg2ru8-LFs(1ccFA@qLi=ns}a{{ z>p`nI7`BtZ6z&8cC%ACi%R%~AmAhD)7$1=37S@~d9bFVTh0XBAq!dze=(hnwA)gKPX?OnOW84HbNX1LKl|u;NY^f}33L({=9cN~TL3O~ zJekpSF%IUJ0GIM{6KaPb3_nz8p_qa-6 zXPCQdjiNQNn-V9!5CA~W(l4_>n4E}%MS;aKgfyY*M+hn`F`I3Fcw6o;(lDflCM#0! ziaQ532w}aLedL`!qT)3x zK^iW#p3ef_DG$@VY*W~nu+Es=K4JO3XUw&a4c_#>&oOq8OGafvS}mLIII-b_0NZ*Y zT8QS;7CVJ_&dx$ql9aK$xHOzT3%%eVOHu<2`4faeMn{u%3Q7~mvYduhYt;0`} zXtTJkPoq46p(wt`hm}JY#_Q=^hP2zIHdH~x|7e&t%eJi5krc22p6Oqq=|1;))0DG`D`w-J@XV{S< zbE`T|KQIMQj1~q&W8AhPsNmymAm9?&GIlDquYeRlSQt8szWcAJH|sWnX3!V~VJ@W! zU`Y-#=@whot;Y5Aoo^MBWVm3tn%`B|6fqVFNpj`D?0r}Bii{e=LnzE)Y_8!F_5prG zUxmQZWnJe1)*zJvgJRy^jNeF{qTO`^TK^MP-xR-$JS>m03=dP9m3=qAB2Qs=txGz@ z1@xBMiyx}wDGcgFoL0~krAK?U0%0}_4|@)P^ifl(WAp^_>O_25nrDp`lj7Ke1zH3g zo}$H+J+qrU-BVsP69@oyX0cNF9^6AMn^qecX@A+3sGUU+d7Jn-Wgh7q01$4 zro)G!hBb#0cT|}GvFI<-of51cQDQy>Sb1AX73Kba5$oD*k0Q*pq4pT z2KxWQ_LCDEmp{g-&xwB+g`^{WjnEN+iIeT`oJsNN>6Z=0BIlX%LE~kIscFMRwz0Z) z4+zFgPCCUrkjxg-kCiREminrpl4H0979Alw0nW7HuEb!~rw^<>p^&bbUI27$N0F^6 zduMmb-}Thb9tH++veD&b)FZcHou4p(IpVnFRjGj11$8_M<-;vYCMJpA$_o=7V0`7D zuqV#H_`&rHlF0KAbU&SudeHlggIcWRs|5CbSPuC*6s&?6(-J(Gs{Akmkz4$ zj|#vEs%5oDHw02vn>ZYybcU^H(vFt?3QmS(k0LDJ>?r}o3P`i)yNh!siL^-s~~Qw$s{0M%$Pn|cNLGg zul3s3MHuSJJUYuCz4ab zR;!L4w4eC|TY{tnzTn&xDYGmkKi))?o=y$;$)SNc!T9?M(l%MG>!2|upaGMtpUC$O*ZAU9cLNm%8k1x?%~z~GfElZ)Br=SM?M_iQ zb`rW}y|~OVdk=$$zkt+>G(olnL4iWBQ?^lWrAx32=}3c5VU^kSm?X5Owq*3rtCL6( zgCCg6t!u_nc5l6UXje0d)_^e_iZL0XQ0iG&84Bm}!&q`x*Tl~}^VD&^)A@>^K}vQu zSa!0woH$4tZk6pw>woVqt5vIoc*yuJjq`ioa!#zisselEgi0T)E#=bO3hZw)=sR&1 z$^eQjv7tl_ibRQpIN)7N%^oByg_8@#VSY#ak_cB-LiZr4-CfkwI?2hX`twd6toH>- zJ?(a@t4gPRZlwW0WB6y#n}K= z)hir*FbLqK&+8&~L3t>h!2r8|7 zsA>@&BOm``lx|J7XDqix=W!#XFFPQu{zk+Q~zT8@~! zS?ToW(x87pKmHx2*0Z49I+nfipu*i4+U~GxK+ozsJ=9R8iH_5zT1g$gTCoQ>=v41W z*7GCT4*P^1nop7w`!v5U%}N?RGfB0v=YUfLjkNV zNH>gO1#vmI7D9jaSsjmD4(rB%w~GrN?e7*@5Gai;PeKcGfR^fi#1~KNz7I}ml!&>e z%HnD=+k#_mp5BOeb26?Xr36hoWQ&6IaZ?`!en^>7SjBI; z@|py9^%es29ARK{?y*MzR#G{he5qhc#_~*%8|b@lR3e4xqH9*Hq!J(QQ}aVM_tGmkW?oA76!CChMk# zkMAxZvlnw{eem*b*+bf*jF$xp`yhaq16v;lsKg`_Jq3;za<{ z(^%muwHxavZBraTVl5JS$1Gc?0l&W5Rc8uQu^Xh&nNaIC-9U>|HW4;F8d5;<%JR|? zYL$e2Q~5btcRljbR9d>XzH`~}wL(t`d;?xWtoX#Hu=*G3&NgOrXzB-3nuQKXajc2zKNP=Ia zF&Cg84$cj%SSRkJFk2`vbGGbk!os7iJBftJ>R;{@YE6`LuKAaPShhSr)?*8@@Q7#Y$LhLRgK!l zvgvk2iW;$aOqls*;=DzNwm3YXnd}#60buQ!%svd0D;Z(HqQN;J_Xr!_@jm_D#hY>s z{KjSVk<{&ECH}WH?JbMB=;bS<14j3a7KtdSf%7W zc^Yw8J=@F!qmeevAyfGI!sB>JxJQ|8?IQ#Cz=v|t%PZt0p znn1qO&ED*nqP@MC(tk23D_poz@qn| z6SM8m|6J-9upeaF{Ogphm||JQ3d$u~zJZU1kK6v*0WY#3DwXJfb8stH>O2mkmC+$o zeRHb;Ly|>e^8<^LiqbwnZ@~vS=d7@p-R^#(7FYG*+3xv|UEm~Hule^i4`9&nrLuq% zXd$yIq)d;OS5e<`4Sv(9=jMFX2K-F^3GHAf^!eLEOWl9L zbb2TCq(XP`uyFjYgB3DIgGH_T>g^=}pokg!dr?mA-e*=0_+ksbt~@0NKu7use#>(~ z@=@#=ZO<#kanVHK0W>F=4l7{@{>-#QSe*b7MnLMu$0AF(5TedMdjZkd%a>4^U`lCT zY&i9HXa1+bh(f_n3Rq@8JrYLVWiqV&^)!b{S2jzqq>L3Dg#3K2azuJ}+-LN5a^y8- z=w2Tr>8Vl%_gklm5U4`Z#8T;Y8Y*SoSCs9O>sgynfd?_b1OQEEI$c@h8#N)6rtm!R z_gPFBqMd03Xeg5)6Rj9Hw8yHee3(!jCkcyCr|q#g5Z$$B&q$@?Xs-bB$BDF7gZN|EVBZdm`lLQ5{4^Fb z*5B@*?@d8K>8)s&=78+>-MWvJtB95j3N#@!AiR?Wyi`por??1=bH4>4)Sqn;Zw_8$ z#uLdP^i&5d(x~1>i@nUp*D`pyf^EGH{J*giPGd~0aezvsP(G2&-&L{Q)v~u~kMlwK zw|3E}WiyK@CUkvlW$90@5mQ?@T*nqX7<(zB$bB##|IgKB0y~E|F-wRlIlG3_az2?9 zs=>aeJiI1zlI?OeXy>K%DbUmqEFKhMhW)TfT%^`0oVLuVC!vee$a%44yc0(x!MoCx z`KTH@pQ4+W>X! zZAO)T?Umv$BfXQ-LWL*k8V2heU;+U*IK1g90`0TQ!F9-Z)=sD5;snJe*zR*k?eQHN zo&_!ShJ=e&k9Tf_pnzpT`$rx6%()-qHJFRK8S+FQFr-@m0gK$p!!@02kO7YUTar;V zQUz;!JdYX?Ug!Z@<)KR;#=RyS5ISyJn>D=n^+WEa?JdjWP8kC={Wb<-1^2+un-0;c zJccBgwXq)cYVbk!t>pC@JJV`Mzoc>%#4s#o4&2lR_UoPoh-U33V?6yfxf{@_Ri0D$ zb9ORB5x=*K&)bvRPDcv|w?bOrh?1W~&Bh9afrY)?qx}jgZ#i-szjfcEdxA&%)^eNK z<@rzc5@!w%>1%q$Y5Z)0@)g;cr2O1=eY0UD3%&^--0b^RzX~$axZcjQ8Lq;SinP)w zMMU89559#z0b-A$8I-3+qpAP2A=u9UGUNZ-6$qys(PeA0tn=k#*DXY*<{n?|Ywq>{ zV-y;I5Zk|A24obwHm~g1L7_wON)Wl>o9Fj*s9xqKCAk1k+XsZaKWT z85(?4GiZ)WIm!_<&xpuJZ@#AT6ysq5ce4G-Wc!Z|-^NyMRa}?9U(}+KK{G0MT#vFO z*g`AZx_Kk3JB}v&>V^rA_Gd)*cq=xWUmK>eSg_5IR!V=#G|r8pI}Vc^Jpb+{h`|Y73N%(x*;o&a7=Jr@fX!Yim2m|bfYkME zT_e=i#>iiNrPqdQNC5l%Xn4m@hb@WOa{d_(a)IB+A1W&i!BZeYWc_0t0DvCV9x(c^ z0UoyXP%@*jiQg)a*Wh2iC_`#?`Al#nb1K;k&dnva-l*y+2Ko75b(%D)YcRRnpUFR` zI8svNU~f#TXy6-R?;bplpRsIMLO~RDtkdl4JCo}wCRDL|LXX_EHv*{aNUjms`sG0_=XzV^a@zf)IQP2} zJ|3J^wWPs~71MTjr-|_61A{joW4a-6PEF^&uL`~20~Vpj8EF{J@Ld?wjR(oTENOlL z2J8(7qi`n>rC#(n2Yon2Gzjpfp|=5&e(_Y}uS;pmB_o<_lRmu&Tv&hjER4cbvlz^1 zKLecQ#HZEJv5w!?G0I3fYewFSXe_q&jVL6oL>uA~b{qv@6U>Mmq1F0F^#B6?bsy9` z`3QJWi5W9km0s;=+6oQ_EvWT!b;xv~9Lsfg$zz_22m0lDz0O;@k|MGOPSO2j>5|Jg zE3J?;9J&)x{pK|%p=)@-LZby?I-gR0Tu@HsIl2!_Ry^TJnem;V+`4aLv1i^h;PlXo z<=eCuT!b~xK?8ZZ+AhFKo^iX18c7xEHxd&d{G8@sOXa0Ai(jT^h-hpt1f6e)u6T_7A1*;4Bq+t=M>@e0EX0d(Kwn(;?ubM$adNCV3e{h zz{)eSt#ODve3e8-wnHljds@K%eqmp6H$tx#$mY~qaLtsXu&1VhfG^rrBKXa|6%%-{LVk`?pQVfU~`t=7ES zOFSHw4Tt>_xxO!H+Ods6XUi=y1ugtO(+8xXn?-R}hGF~^Fa2$DbwC>-1&l2@ zV9{O?v(Lfh$E>JF3s}<|PeCFUahJl;J1(?qK;7IiMemjYI(S?rj5M|7uw#Xk^vUzR zIB%_Ap$9P}u&+5UEh#j3W{fmz=x(`KqP?j*4UW#9b^f>`Ox_Z4eq?0g*+FVeOyXsO zn$%H%*Ms{r2?-BqH}7Nv>LP{O^P(w_JTS;J0Z8qOR+# zq!|-`o-@+6sP|Q;F-+cqZ11Wk;{;Xhka>+J|El*#j>soQ*s>$=`84nDs%?mY#J`u#mOavkfEZoc7=V10Oz&R z=p+c@%=}_I|GmzPxTEKeW%&FYI*VVd%JR^=QBL8ueUhB4UD^~ zM-4W`<8#;d{E+*%1-r(66mh;fqE2_eRn^3ii2=K+NUr~hUK~6|Bnc@#MBSaM5;_9C zY2U#uwE~Q6&%g`Xzl-LeEj4e$6Ki7!mzj;!#eV-h+U7icY&th@lp#by%gk#LKw>b0 zrxNbqa?xdksz&=vUaR{uO!^!CaxT!f#Cm~I_uv&$MmQIm`MXC~$aOHPEm|Xn`G37f*O@hGW+0vr2_kqVBp+=8NOVd&21s1RVi$MZO zr45NoXKOvA)rKz)J|_6Fr%Nj@mSE$`(f)L&bjn6VMktmXbU`lz$A594+M z^EP~I7m5DfF07S_*o<4WajFmxWRfn|F^X>aq__&8p1Yl3_)P5xsJgB~XpDnAXc8KQ)S@1}>~X#K6qM8~3%%r`zSHR9 zq8FyM6KAgO23b-;$8O45OpDNl@3P+y!|{E3Cv0H;K3=0$pmKku>~k+TTj)m&Q~RKg zP}0>b0to3G%hP2kLo{ZU$e6`y_B<$PYms>UBD;a%HE{&{katA@A__?&Bzw`>*XU^} z_x50*1zSNzM#rcZpl1_{%<5uK4$_F}okh7)xzDw~9-cvRZO%O(?br8XcbaZpRowO< zA#?zTlU`YZ1hQ636)HBMZYFg9r{gW&LC0Iq!#vlZW5u zgu7f3xw0B4_L;u_of!zKpNPU zD~3sUZjxv~3|V)FHkpb&$dohg<=y)qvGMBncYXqWnr$T{g2!yk``YSZNbX>>HBzVe zNa;ySO_EB%0AW|N;{6MOo&9zO>brs%pfxV~n0)>Yo)$OubNT!JFP%S3w-e^j)73?) zkwMrF_~!2~(80y}cD2X{ajcPQ0#>D*lWv=E1vp7$Y}r^w1^E)Ic-CeCP2jCjRaIh< zE?rp*;X*sCF9tyUldi&pe5_n42n8`TLSE~=a~>B27zF?4nf0av1$beB6}kPK3Vzh{ zw8#E`9Qqa*b1CdoQMo+6oG7ekPWh=F|1jo!!cFSl^*vyR(W`0%_Uu`G2A8!{nf05@ zm~4=vBbtQmt-z4VeV`%A+`P6A7iGR^Olt%8ymsRN4x|&|^;ZC=R*hCqci&e#$83bt$72>Jn^X?MTP?IzbYP zbieEFRLHm1^k1e1|f;% zAh{A%u_>f6&YfSHr{RgXNoDC%~*+{IJJT=*expcuF+>8?f1 zlmzo}*ehs#E;`pOqJDF{OtL6R6M<~ps+Axl1W#$pc?5#xa9SxQ!(aZO|5hG2h5H`z z6%9)$;=$o@Sr{_;G&GO^&}gAtd+dm4T!HZL(erK3dEPvm{+efGVG#kRhY?j8&7N0` z1J9J3abl{9ESd>d#VY=$n6T*?5YrM(dBUC_>v2NjK)bQ^Ue8Bpyw&iF$4M#k(_l9) zq?#b4Drb-oF7|JO`6p_{m_wf|Mg?19_jE9>(cY-Y2dwe$l{cYfRz}Vkl<;02n8i7~(4tol1g)Ga;Bm-d@|Vvo|b~pxb_c zOl6e=>Zr@#why#eThY$CyZLs%s6q=|NjW@XR6^d1xZsw)d@hlcqw2DX5jQnOeRq>1 zS5?*0Q}&3WF{Gz3%7R=T=3+r36&|woj$qtl@3i{*iJ!3U>BY%?k z)i>jftQ;Rn*%@v_4rtY0gBnaE@FIr@FB{(lFiGSou65gFi2U!fFO%1g$kwR`Qmf?R zs^83tOo0@fn_+tyB+lV($*T4Tz6cE2a#i?N2&}C>mx8)ImpBEsZ zByI2E6wld*@IRmhPf@Q%S z7Z6VPl>ix4H(w7JpN=KOY}UxQ;ajMr^SazpIZ7QGJWE2i*%jVCLclUdim&pluxLzr zlzi?-nD7qfyx^s@!*|TwXrGb>lt5k5-8o+%_3{FeBK>ftINchRu&b`ohR`f|?kP_n z_QRW^dMVsLV_hT!V!Y%(LnZp=JuK3Z3lzpdzC}n+QC~zhGrgQTSt^NR5^4~%#e6>q z>PxZIq@LTJ=c-w>Aa8x46E>WbG8j3RFy|194(xSBQHd6 z`D?{AS+`fa>}=vT<2P-N(_IlL4pMv@0B)9=bqy1*n~Kl)oZf~y%PFDr*-P_#6(kN` zyB)_B6u`ecxE5-W!DC-n|Lz{GG<^u}rNLGoYBigI9Y!w0%E_s2TG)23q zSkX`5ToPu6tK}&Ho%6cS>y{G&k343@+)Qa}Ay%_p$+v+=12?)QV5dnVm+zZ3oYfU$1ekXp?dO>gHM^qJMG- znlofORjmTpJ(a}8#_6pesBPUW0qA;#Flmlf^;-}L!5 z)fI$w&3U?yhe^z+VyFW~pWX5_6?|dha=M)&tbVw_G>V=28mlbLDucFJLpW4xT~7b=X&D=3?pvnvT{p9Y9g-^r zNs=Nbb?!pFA&x&tr;I}5P~Yx0lj4|C+Bn@~);G`>5)AfWN)T}<8Ap8_fO@nha-m8} zO04VM>|Dfdq(kLNTot_G_n2d1rK=*}G~lv*%hS~HS#W0}m$OXaDA zAuBn%z_iI1|KaxI4xpm&y^B#|g78}8n$fjukP6j0Nl$$9M}Zz*=J;BZ!WqsWw1N5t zaVMeAy(E4ewX>)g6+XilBvZ|Fs(FQOM!S)EFw>7q=8N{>C=)PIB+?yFchL7PYf=xwYY~ANDD@MDNE5Q21l2Pwt@XjfRDTt zmJ(tF(QiuLb1j_3UYbRhctuo3pri&a`j7=Z+N(g^KC8`5Ig)Ibhb*H1DNpIJt~fD! zb*|b@;`4a)%X(JqV^(rM#TXI3%pvzBDqE^^z~jXm=cZoW*iG6cG|%gSJG8fZ7_CPLO;3IGqfx-J z*D7JEGTi>o1`cu5dbl=TlU4nQp52U4%(>zYYC4t10onl*5vIba^nR)KBDBKzl>}{F za;KBsxx##G!CR|L5o2nYaT(g{ZpccJmNINP$k#yYT=+7m-K3JSlRO;A$jfanL9)-n zCPT{wv9f?H!*R)hqrktm=-X)Bq4RKRnAJL?QDdysV3Ihm6b37M31;zx`F}{|{(W?Z z#;c82_M@Z=f*4Bx+{po8$ynXPQ6dgbk+X%>@8y?M92P5yOnQr!6dsG)iph9nFRdS) z!aUKF!<6%6b}OC*0W%-}<;{hfU-sD2fz;Dp8az@|J-kbJlcWcS#bfd0Hx6C?Q{czb zbut3-!^B11bc@HPe+JekYJasZPuz40RPWrqjYeoUveO=lok;#_=+*lR5@{Pel(2p; zpX(wy&56d_Tm7dJx-(APRR+#pA1wL!-h_^Ld=X?P1{6xZZ+-MzI8i+gS6l z`%UV7*;xJoz>9>-gl3ml{W=^@pmBD#^Bqk!mU4u}RpqM&zx`hnK?^ky@62%(i9H|` z*T(!sx`#(-EF_E96(SwiP%Vv9x$f6?;>xvm+nv3*E!u-F8fAc|lGDiB)D}65&LUM? zT1Dtf=P@2}Ymuq#zm)weOwqF7qaK=yVp7f@7^53|uQ+Qzau@IGEbvHU^N#cFmv;c# ztiBp*N6%`6TeYsbL6W%3ewCTkbzru2D{61$&^?DjR+%$2YPh8+qfh^(a6tcG+<|e3 z8IUGr(G&qxTZhUn^{tq0`sIkvI?fJwyTp2z(N$oap#a@ibGR{01h6oCjw($suiI%= zPKcYxnv$J+kJlbX`JZceOp(`KTn@~SzD>Y3Kxj#M}ggOQ`YDNJz=dSRubTxBOXK4+V z#kaEZRN??v;bJ@3ztC?NeL{ZOQV_Rh?QrC{;APBdWqh*qL@_3i-_gw>931Re4(bAH ze&PSvdeW3`p#J(T>>nJx-@ZB303S82sN$lj)-Dpe?RZyvsG@CO?I0~!ef#G0-T!B= zc7_{{Yv!clyjX~;QJe_sh5G`7|F3vNJ#AE3*!e4U{mC@OTJ1{*bPxrI(6pMgWda$l zm{l=7zHvn~irha;ZlZFY@RasxmUlXAl>;GY09v)dD4>Oi@~B*5WpBTlU@PQc7YxJE z8A)r0GhN_P;^onV?%~8WrTuN?3z!hHB|I`L6S|Kem}`S6O=Sh! zxh zwW7-Id6^W2ahFZAXse|c&oButz z_DST1TS79)?B^A*FOW^gEc>o2Q?{t77{dC-Y)15`o9mI2_pH%q%74M+;axp zM%vvIo>fc@2$O-B;qv*58aGQsL`r=yr9YYcMIIw3Hu>3f$YFZ_ZtVlXyLs5K|C$j#^puD6wy6gnDh_2o>m*TQ$A zj5|lj1p({@7Gp7?*;Y*ZVUzi^`_2#jj!Pl~OI#E(p`!#2%xz!&4AGy-8TAZT9(>GTLXe1so!8LL!&R$Dlda##{pOf7Rp$#1JH zS_$DNh3-bUe_zZK8P&2zniwYQ^=;ncM}$O=6qSBfH?0=-cB2_m`sz%NrmRktD%NHC z7jAqQO=3-Co;U=U4nSfRi^dJLjeTgolQf9Halhqi zwRBRn^w_QksKCRTfZF8L0HA^|rMBu@M^0adWmCY)l|7gEg6y_WaKhNnyP&fiaH-NV zrZDliP&EpcTrO3@i#SXwroCUo3vhxRtFZJ`cHWMI+^_*MYQ-~eCw**xJjg!JNaf{I zb9T74;lg4cZ83_wPjre-X|3GJ@xr`X$EwdE|Mn%lB?CSy9bEixrD14Ofg+#`ufMZr zjWLztF&>G$m1V8qp?OH!V0X3;foYtQj1h%jyI@@L1}gAnQX_ewEyx>eW?BJ^-k z49BU>3}*O*Xd-a{V{rQynT@IaCPQm=L$$9=FK`zyiC^^L|>t=)b{mg@pc`EIB=E zxQ+(F2=y%fmvp2J@IyJUF>+UfeaSJHQ7{pETNxjH)<*`Sm*u9=pdJ_jQjWzhKH1L6na2 zZs{Nms z(p{bT%NS_V^d~-e zx}7Wy(RUgHjI%b)h%bwE(r&KCXW#+2X;R=hD61fjO?)PsJ8n-O35_Lj;frx-PStv@SaW5bkrnog#$S$CfQSlNnukPO0k z=D@abMU|z-5tcCbX9E7&KE0l@L3>-B$D7p9ye53 zue1XW`L0+{IGt-b4)Cjnf~jZW%YYSUMoSfa^=aah)M2WkG6)%Cch5~E8&TJ=?%e^f zqF9A1POv+^*qu~#xjT_HuALw?G@R8^Wg) z@{Ebrj`{4u7_+4H>}RuT!-3@fHkpk%HyZx_;V|AGjGzw8QH4 zwbhA$ukpfHI`RgyQptQnUjSd7jnw#+di`IIG2eCbC?2W$hF+J>SvX-8o}zl!EMLOX znN2}-I2z5*{UM%^5JkQYHy&L4BzG`ydkvDvn%3pm2}7bs$kcu)>|Ijr5sWOq(V*zg z{ifnW4|IUv<^ANti}>c6B6x50Y^9xkKY7lp4d+xGDCCystO_V$9MDab=S9`JFAOL?zG`(Ap%poNQe;c<+FMaJ< zwxK#pLD~WKE~p6G4!u}mKVBWWN5MYDhf@Uy3+8G#(nVjGp4d570JA&5>1Yk)X0YmWUIK}>^a z@$f45)GSV`(wGT4hC0}5p2qvfto$bo6z;p9z4+&RZlcAP#9}B|)W7Z*jK_roGsqcQ zXz{VYX^7QOShx9UU4Z&!Nry8F$o9p=6c6i5|JSDuQX!l9Ej;t#f_EP4EiK-YhOq=> zNSJpPO&x$;eAv9xy;e39a2Z z!cjb<~?m&#uPCpauL}6Lp~&~8VTeaIrG?C z%Gutzw86O|?XCJv2#Ej;uo9ag6;F_kwW%flJ<+IOKb{yuR1ddx zqt*R}dLcV)urfYDe)*AQ#Sbia_xb#p%_v;?W*>=Cw?&Jqg~_xs3HF(15GXy`MKdFy zdM^gYlPGhn@bL`Gey0mCz86EJ@h?PYaAXu4&&a#ekVuPvqMo_?Yk{!T^IjtaJ>D{( z&;nijPz2FQh)0L+3XjTm$Xunjr|pB3G|AYLUz+Xb2~D1eYrpk35p_l{Xc~auZ!Itp zvc2+~wD_|tq9&xKWgqQ&q>7qQR1LH0Ld5~*2e8F;r@=L4H<%y-W7JxR6l{C^M9872 z%B+JP1v;oB!}=1mw`H^2-urB-@+)^&vRZ~6z?d>7B>&UP5IKemX`MuHSFLpOJ_BSC z$~>;x(gXGjqWepug8Oc6d`8}~E+FfRK>3TPkcR0@E&34{itb@4J}~dXN!{a=CensU z)1&@xoB8h84qe?C*Ft`XwjeO!C@{A(W`S)!yxZa;;I>cPH=_+IHDbZU;;tCP0S(@j zp4PVp;(nFpX}z1bX^~d;2rC+X->s3@VhBDw-m`D)o#yMNM+~D>0N*ZmwT2Zy@})u zhG|fqtC;E)pngK_7@9CTM~(yAX=*DLMnKy5y3kO_KE!xx1Z_Hxnd@(?XKXowK-KR0 ztQjH!Ubuh-`o%y#lyjQGryHvGgir9Wpi~)r`Y94v-<)-96esqJ;Oyq&(u!6&pp3OhEr8v(zCS zOjm+wR0Ea-obj5N4n@74`RfRPl0`MrB3bXkj^|e@U<&$r2$abUskS>rMC#o z7;jfya0fj@+cXQJHZw{5q#JqSfuI_$Q!}&r$4BAbrBF|1K_>r)nB~&A3vk%+cJ@gN z$&d5+HsUKacM2$Tm8;uKl@T%=zg}r_JVbOrkFqItKgHL%)xB;&tp+g-8qq>K1jhm;T8fmp*7F zNw$xTL{%v0FB+M_38pExJ{?i#H~<*37)Er*vdgAYJsnaP1M~pMR!4-8W!apxgJOI5 zPeZsAEgJA*VbNA_NjA@%z+&I$`T7S|1_g2gLfyzGh)BR$_BVaRwMq{k^AhoKP3+Xk z|2WYNDPk}lQ^_)kMK0t8PIjuDi*5EjaS8&tx)5{H+5vuCq;C38fs%>dd=E`a@f4tR z<=Y>3)%g2>WYf?x>8jmcmYQ!+u`+mi7Xf87_XPH3x#gg+0y%v_)0(KbVY1V>juj5} zz#&C`e@efhgYLIENGiNzL74rk+i_Ck3~T?x8^p^SvOQOFMMV21o>WPEU&QAN0x>V` zAEL?*c(fc4<_GMu|19VLBJZJ1Q*0wd+$$jrc8n~!NVPNn)aG*vcr4xtM@J+A8yMMR zG3bo`+n5q=(FO)5)mr@&bU|Cv7+$^|j=iIPd%a{FS3{NFBLzRV!?+xQB&+^TebOPC7qndc$ee+_Q+sKfjyIt zSF?!vY_M97=iF9z1x}}QPm)dS85JY>^;IlHjDqYJb5n$RncYAux*ig*h9_2V|L?j@ zfdBj{RzM?91zg>U#QRB#OU{;M4g}quEUEAU6ReFr!Qnk zTNm9m)f#xHFeC3uKm);06Vha&L1!u80=7Zl4$w8$`p)|K<=)i|WJ1Md}mqgr9Aa`&BKymlVFq<^IdA{+8F=R*a~4 zW4L5T>r7R9&S0jn{OFyhD}#iacxPbpcOtkZfmZ8~$1U=<=rzg+70r-pI#^fcPwSmW z3E>?&nI;Te-xV1SZuV9SJ_(I0TDnM5(3?y*UHKmOhZ=7vGw%Ng__8k~)%Vd6B7O+= z!`_pdfL~R0KO#*0v}0whJ4!6PsNB>HG@6xMH|vQbhQYf@t+qu8w#kK(b-c4%yU|gZ zlLqYuqgDKg9;{nmU?p>+u6Ew$<48A`_ZX_&j3K2nn#4=Ql z%Su5uV93PY5@CH5O63D2n#iJkdGR^YNFg_zFrvl3QKpIdNm)%mcu`0RR;!EN|0g6Q z8hXHpcXgmZ@^30RN~4J1&iNm|){S;bG1nzUjEd*mPMeL+nNd9}Zt@&2<8`}X zikHPYb~^j!4dpj`T@6 ziEVBB2jP^037cfS>a@2+AG+PkzOD7Ii#wvY{&o%ZrG+F?27eea z%Xf0MjJl2t6!3By)9N#w;w8s@&;9P9v<>#=&UStPF+p%AE&X5rK z7#k=$&#_2z4OfJxs=47TZ1X>d9a&7$wEk!x^S4UBZCQhPz7rDhv7P22fRN~(d;Um% z)s69eGjjngo-`g=#k`BIciD8saq<4Lw3lyZVaL2(7gQCqKQ&r78jv~7^vGI@NmYZv z=XlB7-Z6uRg)O1tnZ|R7AsU?GgIHs38b2?%O@{{;6d(U(^+P_H?+*K5`BSdK*)zR~m|*I$nL<*)6ulXlmO zsS$_|+|!lo|G0vYqSq;W0`QIAR7!MCZM1$e7~yF7Pf~5$Urq5aCD}pThy#X4)Yw}< zwbq6>L>p?+_m~b9w9tpSEBnKyA`LA@ z9MpuzrE0MqAW*c&@@c-_CT$vqu+mTX76SYzVXUB!#+3@sTuY(vX`OG77~vrs&KQyf z_@3-!E zQ7rZ5>3g!2R==T<;kf%ob0Ek|3P)qnf3l2?V3%3jlrA5FbwaUg!uI`?+_-t=J88Ss|M-~+=u zzjWcFcz|lAY6n;C&j434F?gW()SjS+y)#n(%?PLSR^oBc;!VCsoJjgR(fH`W*$|z) zFw*YrS18XQoR?_au@BGqUgxu`ndZZ;)p;-cC(;YlfxJs4^5;A8?wZ7l$J7~fZG!3UKf#IWA{qR2XJ1AJ7j&YF869EPy9uu`j;lURMFm?-XxhD>`N zu~6DSTQXO7it2)qN%5@}qUZ6~df@?d)pbnX6;?C>1h|;an1p zR{m=sudpyDw}+a&H+kqaH`JXkY_XO0sk@9$4ac;Yi`OnOky0!;%KSMf+Y~M+Si2G91wW zVv&bmLUh@X3?G zWXf+6Ol?9Jm$1HY<~B8wMx%SK{5ZGnJ1Z~)dadHXGe(iNIGe75guzj1aK4Fz|nQ77f!3|~ezkxG}NB7>4-14u7 zJgaZcH2GD~=1 zfR3n0oi10uN1-bL_2&S*_X!Yf)&JoyzB$clWP0G)p_kDKQj~&-60bn_T+g+CMr|#0 zF|Nc~0$dD)c{O>HNGimuVxhS;$U$9|Zqvgh+10byxF20jmA4!SbX+?ioXNDnZGIy* zCg}E|BGvuO{aS3tr7W^0#(>Xnif_fRU)u-@Lr;653MFS@&;!VJjjtLLh_KUizf9hR zE~kcAVZ&#K6z~mak;R$Gc0O@r2{g)VhjFmnK;hcyW>Q0JXvnm^jOJ1$7pTkC7ND@u zk2r-%m5j9q$4G!T@miTQ-i^YnEcw#fD_ghqHpD13CMi#Y=X!G>PbeV`e8%J0 zYMq>489n93U3*8c*2eEfH;9d5A3KOx6ZmJiH|K-1HuuZl=4O<3S}$V~m<)1T?4#km zz0fyCz8y`8x|WmiS&*c16H!xdI`@>PfLC>-Re;Vw8q*Q-NBf8idFKg#^uIxhjjjT| z=M`S)X*1m1cmi!vKUMqVT3?b{z)qOBP}>|{U&e*@N&Ae)1;IPK%2+KK8E2Aiavhuq zLey2xUA7IJvd_E5^hYJ%O$A7|!>H_FxfR5R^+98=21rLDscz7rhq0{QorEHd5O%GS zWCNnhtQVozXGLU0rRTK6TgI%=n32DSuX*}bs;0&rgD44FbhvjO;uD;N5a7jx>c8|l z(e%fwiRJ7&YC^79tBqly>Z<>F6NbZ(yIvGYoS{UhwL=+cRHt}tKX2M>wNm%b`1#pR zlux_Px4tqbj(FU&YzJ8LbvAxWsDDF_8~P;wlR|=I9vFWVu)tL9jr`oaU`WAh{oFIh zf*~UX);1z^$1J`C!M8SOjPuBCPUbNpa!Q@qoj(gnq}#Z*ZmsU6MlaOI@5gagWSo=3 zPKV;Dt?QQKb4x?giQsmHk=MM7llPL7i;075X;3r^m`&mCfYK50pYF zn1|PlJ4oxNRdb!b9Qly|Jzn<%o(wyx;&g)=&Fs$0l9=O)c^Axh)-6fY!s% zQ)@=>B5pM5NQ?U&;M0uH(*RZQHa6{$TPQatNnSMJhzzn{D76msbOl5V=HFtal9uO7 zg)&=Ukzrv%$p+gB@Qn}svMk-+Owj_1VFFUyt?R=uGmz%!%^$AKcc%P%s*g-4*cNub z0;bH~45n(~f+~q!XV5&8^ae4(VrN$ZNG-H~*Ae~2*3hgDVH*_f2L}(^DN^(DNIw5J zJ)RJb+uZz2(KP%a>*4mTGu=E$J!5NDnEna@j&+J7h>wB--Xa-GLvp6ju^>hYXn0aG zLgZU1NM}mT(F=R%kJ5CHk5#oapQk+Y?Yp3wdO3R3d$LW1JiDUlBV|6bQ(GivFLBl& z0;_~po`T{%7C&)3Y%PeU0Yk*qCR|j;ru<$DZ79s6PT|H-U}m*3nPU+2{<@6mqKXpCgDE-~9n4x(sqqKTKjpMsR^BV@Pjvu~dza2AO` z-8-(2_~%uBnkJ*~7m(AM=cA^PhL^*R_Y@Yw4sK8Fo+N2`Wtz}eyuFq}>pL=JHCRgn z)r7lFciDrl=%cw(srXcwB+}|3!6X2kWVk_WslgDw8}+~515T@(>1!{gU?*ZvPWX8i zmvF}xg?5W3{`$7>w=8NzyF2wSWPCR9ebDK0qGh<&{t~QT>Fkusg!j$R>PpL6Fdj62 zMja5JIPcIA+S-byb>Mf7xt~XvfXY&l8OP@4a1IHM?s?lT5I~h_Po{&xO9-P)hi=$hY^C2yCmU{$f|Oxr0;f#` zLS$8z1tzu@p}n|3OCCXraEs9{14|sZ>_QG@OE#x{4OKs~ipz1*(Q0y{P)=$bi>k|! z?I8+UP-}K8wEiH!XnwaZyT#XiGW>A)c;m#9h9|MIqH>uE^@}-^Uif88loFFT`f{8* z^Dx7Y&v=++OJX}Lt6R@LLXAw%1uOsVf?P7UNivGal{jZ^*$^Un`@Mn|Hv_LwaRb3) z6>B>)iT2bTv*6aaabchFY2QX7KTNcrlIU=Hx+;QzI>s$~aZ{>Th2>`ULRA6qe3&Xh z8z9!9y_=Y{kwF>N!jG&EKOf>1kF$g1^HT&G)v$pPvT9Ku=ZPK41A7X#%7ijsmW2?Xb!qjN-m2Jlf|DK;IVeZ?2?bWp zkr&)mmMj3RYWAS7yh@sqq*s(TdnSjl3McFM|Nmt6Zt;XeiOA%K;p;2TB*YNd&g6K! zv2j)*a}yC6F6PP$znMMiPGLKHht3Uks;v?RQuHS0c+_}jW8$o; zDtG5cQl0gjR{lDb2`3o8e2V~msxcTl`mb4FGh$R#0oGnrRHvjx>2tBMYA+aLhOA7# zo<5iTut(L@1gsPk1gC4|ig6yiv1;NW%M5`M75*F; zZ1@R^gkEl239(4;mIDszO@c! zG57SL)k2%R#wy>z5T_l~-PLzmG@6aJmT1!52blB*#8}B@DIIRX^vyZN@yNGfHw|MQXlG}<@e>P8<3X7%f^zm4V1inIX+41Ra1mOh zR=)bJNXIL5gJ9b#W`iFNPC=ub7q5&(R!<_ltI>RjH9rZS_Eqpnze@7PTey2>oC${Y z2R%Qt9HYNmQq}U zGcdJJZs*dSR(w|d-SajqraJ9{;gB9c4{rNrxudmvPJiV^@J&_= zK?5EdEGC^wq3Zt%K!r}a(lfreqo`G$y41YzD3QZ8Mz2%93d*ER&NL3f^4o<6FLP$c zPE<&AvUn4Lr7U<_7IqJTmcB-$EHMT#ZHvHcBUT4LKyu${$D`yf`O4eRkKLtQWc1}7 zk{ITQbhch|lWoSD2x&sGu5A7}2I+NF91_0wd@eZ0_DFyfaSM9m=&?()TvuudACa}67M3)yM+yuK>>1g z2`|Kvt#^`yPZe>08Io@%1SrIw!~z;);rAaoT+xalb{8{~B>zB_K7ER-2trDz(8XD; z50aR#Lao~hC3i6W*Qt@O3mTQiPq+60{^z$_(ykxtDR&sn*MDlMmHXa4S~;>{>80c1yM)U5~>xso&Q}z@Np(7^p~SdrEdTjQOdu z9S2;(B*->Y6=7DTE{W`6ce2-8=H;lcC38F(&GKG5Ix@d(gLS|?xZr?W(Si&j07XE$ zzeKD)YS+z2*rXfs>?wO-WLZFo6(~U5PP# zDZQ_pbfwTi3}LsDFsD+Yc z?R2WrnKP(f$`fGg|e^~ z(#X%%eBvT?-=E$-U(TSaDGFBH4<-0Kr;8qamXnlYCW5y8fyz z2bPEVBHY=bEsTIJyL(aW1V!yGGFoBT<>tN2kH)#B_pN)3)Zrrm3EP3%%grlrrE6W# z91j9TJPYP-LxSXGR{X2C*CiJs!MAwbpWGuL|Ldl;u(<;8mQxo21 zdjjzE+D37A137|gyUq$nCtTtf*P!JXqUmOw+pgv#;Xs4iEFz6SUzb=)Ta$Kx<1&XU9yN)j|hl5nNWq^T$JziE;rhkyzr0 zM(h{CV$ody)4#1o3hlh3-iZ*Jjr?~XT4Us<14~nEn?R&DWM1Wfh3WA*)z7exA7ajE zYP2jI#dvLM+)wtRz#?qkdQ2F%{b-UXY3zorIAcFe-AR;7OYTISnRA0{)Eo%AOqVC3 zQ4lD4=UF<|7-J`_7p0jWkMY2y<#6FqMXd(Te`L<;VjqDTzdwE)!LsU+Am)9im|V@^ z2RrEGR0QXQFC^Aqob)yt59g5N%FYPX#>zWQe-=vk(3M-;Qub;r-_&HRk>9vV@lGG>0t`N>XjCLI1 z^w#};g9outonQkVE%52Moc(E&ER0l7va)N5F;cf9&D-rlu+SbCK}sMl86KlXs3TK) zSw<9-#cPgEQrBm61Tp!+w&jbBuKrr^E>M>agH+m+27&1e17scEr}c4{a^z={3* z>{z5>g;7DUo?l|@IAiwt(~?~e>@~7@Mb;6PBJ-i3FO| z!8B{C`^;T$RQz)4ylBx1`$v9WS2DhmOElI>1%~KiRYd4dyYTv?B>o%yZhM8lK{%D` z21?4qg~+NxT80u-qweotLKCziEj$^UGNS0^HGz5-ANRAwlHe`S-UAx+6T;9fd1?#X z{XwXhM1FDZUY@AUfz|yXYQ0Zk)b{GITPZu^4a-}0KZ4}%Y~T;)Z=8fJ0jCmc!HY^33#IMSrK-N1g4@Y!+7n!gZZwjL0fEo?&p0?u6r~#%ds0hqY`rzsN zYb5~1tN@b~^s%FonST1MI1&4R{8K7xSgIFo-^{2Y^j?SwrjpDI==aT>DA+3i=OLOF zYo1Lgi<+%DJRWHPS%my*l)T|U`ue=>f%G&MHoInSsy99zhxz9u{Wvqtcu49PWD#AW z1ta}+GF;(QAd9K?O^klWEyl7`i;^WuC>%lj2Tv~Pqq>uLY?ujNm8Y6eE|y`}#IMx) zBaFaOHN|p11Dm8U|76GTqA}I{H)?)%fV_03@+WxJ_H?PA!qpx-Y)xtp$t=CZoBZke z5yVNZK{W1nsAM4ik753gu$uU0E?b5Nvn5{v1>1vQO(_h%vP=0;m*n3pjoL9uF z8%ubK`Q8%BS5#H{O6qPW9`wu;VJ>0r*Zf=zmC+b({nXBt#UhZ&^722Z?V=6ThF3qG zK}m-i6zQZ2V=FS*5+wXq3}rQiPR)T~Xw%S+VBMZZJkoJpKN-;gV+7j6v9BDBJU&{` z`GDy}cKB9hl9L!v{ksJ>oQ0$ow@pC!2Mio7ubZgw={k^zGD3p^=1I}XR9D%eVhRIFJQ8FQZq#V+tJT?NYe*)k)}fgn`Hu++4o_A29{1fCY2 zE6nv!5&1gjKfc=S8;N~u&Tk++2dGhDp3Oo;IikYrF<^Uz!s4zCuy&AM=3mKC zbk&C1-d5_aabeC9mYBef%2XCzo56hp4i`JjU0mqw9uRZpt;M}RINr`>nLtpkJJv2A zBEm1nlH%>`7J7J&={O6mqKB4SCWQr8^^W= z4_l9tTJ>YS6@RPFuX70Y!{m1J?~^b(fYJTE(19xa5O~g^#SyBXkEt$us3Bn6SnzYt z6lVgRoUi^J%s!nr;#QpZ;P4uG|5*bG<`Og-cP<)amzFF3({_nCUjz=pa0y3z`?%EI zz{xJcFJ62rbo2^w9vtOC3!*nglFokbrV<=YhFbAw+(1s-Ht8}m^Qh)7auY$6A2Z+* zx>|Pg=t2Wm29ifuAbdrNMWL`rAWcp=|Ey@j$;e0|`rGW866{oOW3Cka7?jxSFMl}A z^UInMG3gxp-&0379cZLY#ETh;K7D@#gNtKo*7S^z9$@5LSx;Hrx!KU8#Cm|#OkAMF z^pY=|{sC&9{OtV;*%S#MNWTvRwk>txpb`;>Gch!ul|Si!caKb$^ew$DqaOTdUuYt) z1gSf^xQ)dfY}D37^aKvWUc6eH5xY68Zrm5&_piGMW&}WADqpE`{b6jgS+GScwo9+K zB3!*i{X+)qz+06<~cKN#ovaL zBr$$j3&4^JNB0VG+?HNv_8~8k@1yRFzsk4ABI`+n8frL;KL$!~NLzH7`pAig7%l`0 zrz8)GTXCjV=wx0|ZS%T}$um?0fCcL3S&Rplv8KF5kUb61xPQN6c!e`3A9O_7V-BL6 zx&z1SU2%Hr#cuZFe?Ea(v$j0dR66g;>47o%%XeN_+ki)sr{gteaO%Pb=b>r6qEN>5 zf5LczhIT;Ks*$v0kry`rAX|S}#PFzo3@!=)SX+J~^Z7fRIkP&S!|+Kpv@YkDq!qta zVAqCAwN-6Pc2(Uts%mXa@7J>qi$CXHfV_7o8Bvpol><&%WdS3QJwTHYFehFYw>8hn zh&8_461Nw2#y-OwQ(SuQ7omvCT*v4VOjLiO5C?vejhlf6Ys46OR=Sr9J@=b@D#7e> zxI2Hw+_#uz^(g#;g$+=ExiE|Z4!HEVZND2CVQ-+n88YnELG)o@6o!q`%=&%{gP9Tj-um8lumYOk>F3cX*FVEGl*8ibbDUds9r?tp_5TABtl@RYM^T zjwmQ>%Ai{pTh)Y}+lpTXID6$RwmwLExW3<0f4@Z;g$KTx+u?shMv_LPTld^jXIy!G zH?}Ls!INjSBarvL6!D)R-r?M&F&r8Uyz9)df-X5uOrB20vK5z?L(FM*NDnc3t2X>j-i& znzfknosnUQ0@3i~4{bV=1R#T~d9=55hEP+G0>`O4)R<1#Q5-u~Sw6;_)?=t26UkWF zBK!m?d7GKxyf2%^j=zwcc4)gRix;;zRZ~0lsr~7D^nxDi*L6)vKy(fKp6{Y-I z$j!5{{>UDvAG{L`HES;22Y)3uekn~{?R$Gj8#DUEUoT|@8EJy4X_7Exs@}<7cluzfZMOYCqZ~@yqOO0t^VV0L)MI5Z4NhJRCW;vR~G3`fk3G%&#g-&@%Re zRZ2g(k;%T-<(hGvS#qyso`4fJ{Xe?0N(prZCs2O4Vl$DHpv3y0J{V;nz5YH*s|!J(tP;_HQbsX&}~KJ&29J5kn=PcD}ORqL!wyTFqL>h@R?@T zc)Q~4wN6Kkd6TY=D***dTsw9r1X9A?4Lp40bi2gtG_Sdgz`~j=r|@;7kEPMEPZ{*JGNYp=YpZF&341fjR|U;+^SO3s4e`;2u2U%wMs~$_WpMSs)ZY zVI%o0J8*^a#eX@GNZJHvT)VAYKwiwAK33tCL?OF3*;O~`nXFqxpm2W_79DHH7O`60)^ND&Fd z#^WJHPgYX4cB;Lf^&%RQNziCpe4+zuWFqhCps#{i;~J3}@Y-%L(%E-rNp6hMyIwQV zLhJ89$D>N?S%S4R^aMF^=ait*ZSvECK?;-=H5bRDONap$os(^tM$9ZBzsR|J5eRil z*ZLplQv2a==3uhgMC)?vb`M`t}Qd}Uu+Q}%{huB>@IlM#X|79)WV zw^mEj8S(WEFkEWj3cP<#yu#_um7v}}Ux>bmh+Z__51+*8OxuIRb|8ICj%?BaH?`1k zzY58W?iUZcJ|IVd4Ynna%CD(^Y24#y<2xNQze;E0B5h93>ks;R$AR0x+<7C0W(v}A z3LQO?5Va_{If6B#cMickt~mjIwo=uzJKuVRFTqr+V8VPZ^ubGIMyrG@(qH@Bl;#@L zau0FLpe9geNXkOe$lGWb=5i%qjJNofQZNkEx0-CxFPJV!O7s)=K24i{aDtem@M z=(hpBG_yBK2|b9C#rOwPA!s+MB#c}IfSI3H)YL({`aW^1GJYLE=g<*BT(Yl>#i<%a z8}|&lm`4oZ^T)U|#oNHVo$fy^@cWGsvj$522WW$za*_ST6L*gnW0q|*jZTQ$CaqF_ zDsOO|my?)N-Syc;0SzBZ8M1xg+Bp?m`Ej@Pn7;m(Mo5Ye`Ixx1k%zX;0DX`jETV5! z|I6BNwNcUR&^VSf2jhsx?g^Elos@e9##Fc6z2Zp+>E?}4`zmfF&{^#52K89vB1z3S zd&=%okpanPmKD$gY>eZ3qnAhDp%LeNFM}rG5f@ZgDyqOJ^oOKPBV=rJO0w&cx-tD4%sNKFkD0fw8fm;hd~3t zUAasWzDwwlSGAi)Azie*MJ%z>dNywfC(5i} zzH}nMGLV@yHvhTqQ05kN3Ze7qSQ2Yn32zZw0xrJ9Jd(QQNFxK5%wbto1MvDIpgz>e z*jpILUbOv&Ds2!b-*T1;hks`CWw}~L7pD{W1{r;4vbip@Kxk0->p+L`UI)V>UKG1! zk#xckAY395c-Em~>noHb!D_7Roq9y2`5?=tHw!a^E{>0&VT$QZ7>zpzsEUJF~ z-alV}1`)d_N7*FI;}<@By$F$7e8!uu7YNMCrPpluONL7(3$tr>X;@5qjokQ&5haCqRqQUPSfl4Qxh@G z)kP=qNer}f(Ck3|hB^(e-Gni6Z%qHJ$gFoA$8WI8-kLz$l0~dgS-e|Ze4qXVRJ`DW zsEZSH!oN>SIG3P0E5>trfLF{>%K}{bgcT}kXx3RDC^*rGIppTEjMdG2lR?*aj>b$R zC#TGE8i)FQY7j=drVcZ9X_JEj$Nz$L#e!K&gBSk?2N?BsBJ;DP@%pe6UJ<)t(z!edGpKqt`q6+yCgzqvawC2?( zW9(%qMS#r+PF`>Q7C-`-^oIB#cb&3!i4@d?krR$v)@ZAR)_zDebuno3+f2~{6oB#3=4&t=YWN|7bP)_v_65jioaW$=uDRyu1mocSIj&Yq* zRC-!Gs?H_YE5suCF7L`L1E(A9?~4T>)B2iLIy>G%!RugH=d^I=>L}V>Aky#@i~psM ztq^_xnmTune|XUl*r>Ax5wK&MFiS}XvLEcVcUb7qAgTn-VkNL?30Wf&s>vcr1LF(Wr88ts()-CT>DW!``PBl3EHP}+gr>%y4MQlB*8pq+JlLo zqB)r5t>N4O#vXuUPm+-hyb-!i3CRTcs^G~2X#A})6t>f@& z2_D{URw2;R|w?PC-W^7g2Pv@UX!_p&L}Cu;Rti#Y;~i=|5#M--lO#`Q(o8s=T-)MY=W z5d3^goZN`_42A7KBsqO1FOJFNtp4kKAO~(J&fy0z-V2;bFQD@n%eDR505As*-}vW- zo5GBlv<}vjVtMn8Y|8DRE5UH%zP?bfg%boDorX)ge4ZEJK!Nqwp6i{kKIIm2nAsB4 zVv7U~KHpkGR49bRLDQS$y^@BBM6q~@;F%$(rbbqE32-dr_BV21>4YR67loT^sB2g=9&{OLOjXyw!;PKx4gt6Du@ zS1Ew;w!6MEJJ9c)?i>?)W%4U2+`0uLA z+q9zjPUkz){gxryz#AZZZfkBcEjnj+LVG-P92}vauh=nJA#W3RRy{2bsI>lL)@{?H z`FhFu?2gJ#H%BggXHvpEa6T$%T(BUE*I(=i$ zEXVLS7(p)g?`aQB-Xh$Jq@@ZvT>MtX4o7aKW^KQaE#177h*Ja1X&k46kFl!sHntEL z$Uq15B@S5d7j-~2KwlUb7TTPvyX>3C_mQqi8PS{Xc#fH7IWNhPG$3ZYtWTJ&m zY!GL+s1NF2(~sk!X+Y!6H1>WVDwpBxky5PgH7bIDW4d5SzU3 z$vJ^U^*GJhLZtd3ydt~! zu5S=X(+)EdS-C62Dk-rzRXOr;w9A?YRlHoXC?{gpTc$ojb-I!w;R@%Fte3xAD_0z# zp4oF!JM?fM!j=mVKw~!Cm}VrNu=Fv@;Zkk)KPG$b!>4hmdqEXKj<;`NFPH?~3iF!i z4g>@WhWYT)w@x)Op)W+2_2oLYEI}VBvOIN)PURAbuZ+!&03Mdb9*o`mSDwN!OwgLg z=;2F-Z{kfcnqW<=-I#d@4?C{cHNbVz$Njy&&zC|8M0L99 z2(r?+D!iQHf(vvX?>!TRk%4tI-iVbzr<@8@C!6Wx;>f~$q1o%_(54^~o^6hS;}6w_ z^X%soeR*DhJ3z ziP#<-C9Y=?R_=sjT*LcUt(xO-4@NGUk=6 zmtPJ=lmnR&RhSS0dK>X+BKo_J=o~jj{f&#K{Kxgq>Kt=lIV1cEZe1xBY z!#=t;!p-1CB=#oOoCjcu6pX#s<%1_|pTBoXak6Kx!tl28k)AOs0PUa4i3;@MSk_Z; zaQy;Lm~?VJP*}MF_N3fW|LTQqKYOo2#mg{eGQiQV@m&E#?8Ms@WlL_Ewu{#PT`daA zd~0nRZ-Z6J&vry+<;jhnNi*wH=bO7$j6@TtN@PU-7~z&2o>d6HmF}CNs1;!3+!6l^ zIX^RyLMWg$h+dmsaudC@zU;_8V8zsX<4&z}q(U*a{=DiU7ACiK#;?Szmy<}=x$X|XK$I6J}3^rq)udCe!DsZu|kK>`iQ_w;-^zmhAnp>24= zVDf%iq;{~7uVI0T8R0%T`LVpiJ|+fH^Ff64{HKg&#ATli-))ZwU}{bjP;>zK@^`+K z?Z|g0e__mmau!sKoptWi1jlP1sZEHf-cxbZ?V1y0?qJzO%#Fqe%o&DF4OZ7I3r(pS z$Ls`X8^|ITXT!%fXH2TIb*CpwE$8AU-TK%dB$&hL2ZUTJ6A-Q&zd*`BKNP_n#=Qqe6hC{?9A87{%cm$x zI5@{#E?JBrN(+R6|NI1^JpXj8fkRg!6e%89T65}&EDy}t%?rw$A*7V-x7uDd(eZ|wuc9NAcue{g? z`yLQ(Z{n5mboSUCKGmr35bVJ4eRQ@FURa1(|0!58@bsS;e1g`tF>s=+e&vKJ6$qea z?7L`tN&2i8-nk{Fl6NL3$F*OA?MS}lK^Y$iokh@YGA_XudI*C3Q|B8DnK^87lc_9! z251u)rUtSU*7s%H+f_0uw}z@=xVY`+V_h8a2$aj3)K!3>@Spx2MG0oQgxU9>3)T>Pvz%Dkc z&9uKG&0ph>pvyAxJcZ4Hm!nBX7Y}I2m;TO`3XVbAOk*ukg{ysG{0$+aW_DA0!Ec*i zydTg$INQEBA4mbgSjV|Y(W$23-p-?OB!8B?qn+$r;_+-Df>}+D*)arFX?y&>;l7Q? zcSSVvzvC8`r2x&jALsXB+$`NX`_ot+?)unGGSCnoLQR0yt|7Xnfer513V9?xT&nG0 z-z42^*)4y3Dy2i6DfFbblz&a{VsNmj{p-E2y8i?hD~|$LIZv}Sv!Fhz3nM2xlbu=n zF5nQ#3P4o!xVXc6fa24Wd3i=!Hu15wdGZ%1@DdE?X5N&l;4O6|C-jNEE}S-@ID~Dp zS8e8#okvF@EeNlysY~N_51o+OdrF>ze-$3#SBHMM+LmIpV_08HW~Qpn-AHVA6|%e8 zL}Ou`SYRyIS}PalVgOxax~~%M5c&Qx673jjZx#$&LJZpP;~9Q+N74Jdgo>l9|Lz!V z$;n1$0R^Ea=^qr8v>1F?V{_}mETE9WTEAtuM&T(XMxnvA-4aL(YV===^Tv3a`iL@S z*bXFHHZgX0{0O1%<7{;*YYa~Q3)wa?dHzG*YaEmY2cdpc?X}v zn4r@{H`7h@e7(UpHswhh!X!h(RShm6@W+)$_6m)SW@;{#PaJ^}`T|8eDz|E>FG>L1 z9H;tmlF|SV0qA~*F#x82hWUsxLc161()o2_NUIHK{e9pFfu<)2b{fflS)Ldqy>KiF zuqN}i_6!VRNR7*cOC_}EaCa2G@J$&Z6*6`M+InSnjWY{Vq$WGqtJj~r^`VJ=QfnMX z>3dh6rwc%~4sAgO!^cBo>$l-6;?$mtj3KR|$+1t<vG7Mi$oo-Q>D?2jVs?pFx5NMWX{X6<2lzK_t7YG5EbN zl`<)t)M-xFVz?$jaQ4tphW}@SbFBmC930&id4MHVj-0EzD6$<7b{pg0RpKDat9Vm5 z-RjL@zoE!qleOU_69c_@e;}KKUKg2Y(%LV|F+lel?+&;Gdj(fb2TrDkdzg>Aq<_&yH z0jW_BA zr|Tf8u##y^rhEE5iynHYbMA)flE(FBe-4Cr94Grz%3mLC=4;bt4Dk2rOlxt zpTVd^=D?LxWowHvaDE1}TtFg-j#slIH2gNj0RQ^_bukZT4lq2&ZFD%84rw_*Izj_K zH+w1!1DDuI=ena7ca8fp_P8NgN_dBLHWc@l)yVC7N&xk_mD3yxY1PVcx_-KyP3Dfy z26I93b4H`gGPOES+G~Vdr5P0)a>Yx&r>^6lhfs5G7@onV@dVDH$shzmP&zk~SeQ-g zWqgWoX-a;E17mB1HZ|B8hpit}IFr;qn+BDxKm7}EXi*;sX5B{p`m-5UYqkS;ro{*C zVF?zEv(dc13(%YM2BurIn?P&lWN>NaZv z7PArtL8h4Tt9((0`4MKaPFWfT)^ZKGA^{Ne;WhHq##y#)Q*k|e2swTNr$>S}q5a3Z zASqEUgq}aW>%-v7EQx_I?*2%ha9jH#<6qnqRapcC4-2M_8Y*Z+sX~XrQ9p#SjqvGS zw)ZK@b08b1`Zb_U{^_~VY%~m`wr2b46W`W_S0(MQ9k^^e#06>HD&O3;Y}T7Tr582l z-|`#c^Mdm+Zfw9t#sI7v>gA343X8Rechcqf#R_Ixa^G}UC^*RpWP2r{p#omoDVOw9 zg3ecs92cIPJW;c|lcNk(Oo_aQn4!0|uE66$SIv^H>m26bW!^5$$`z}cn+b#Wy*fi@Z7X~bB>6iO zkUmrV+aQ%#6)%u4TO$NWaG2^Jv+&=ycO?(Q9addWs2N>_Q(Yz6Th{5Jt1*ER2Q*~g zX=u^G(w&5_wc&Hu&ourk(B{xufI4qpaL^~r8=oMVKRdP_Fj?*0F}@y**2kav<{x%P zYMIe`F$l+iHu}+LtY5%|@1wh8V(-^Y#BW8#!7pSF@6u&xl*oIWFhNwc88NQj^!*_6nnQ8dpf)ULBtMwKOn=Yd zlQvr!JVj|tTA5gQqe%J2YcPoUDGcOtx-pxzlTXN;Bpnm$oGSRbKX+jrK~|WfO72im zTRkz?<}dc}Y$}e0 zqK4rpI(*!z89Q@(!sv}0&{YyQkn~oW)Mib76v3l(rNm8>(_35Z~u92z?3j2DS~BU^tM{N<;BxgfDz-(#EJsKR^*7u5p>$X z;iO}w2kzqv*ZlbIOuY}kcHMNmaGgFr{!muiJ_Jj>f~p*O^z`Nx9fF*vcMpP?9qUEo z)vw{8lL-*j-_V;?`$WjhiMETVdIR%>4@_PafwtMqu`@2p0(fDzD5b{Sq8I+O`Y_Y3 zVe`MK@bp;6s$R9u&_(ZJCD;4HS`YSVI!^p0-44t_q5eK;tn!{L>zp2BHUp-Cd1qS_ z?VzdH;TY>%mONJ$nh~Aj$7_5YP!X}?#A)JC5C3Ltf5{ljGT&@J*;W#P7AUnh@@t<_ zdBi|n{ga3hyUq83!zg(t?}GtTM;1UG;pY4piyyRNx*o6Mv4U40Xx%VnO|of&G)GjZ zRREC>2l2_wK`C-Z2TF9%!yIQIGm*m?%IbsW21B=@>lg%`u2fd9$lmYI!nr?um_V{~ zrf5ygsDq@86tE}8zK)uA0m0E-mL&T%@+kRqNC;I-!}^|fD&;q*sCq$eP|K&UufR<8 z5MX>|GbXYZbLtoty&{xQXZU(68G37A{kpWgGj6VcSGwb%k$iC?!#={rqr5XU`g?r5 zIHHb*_CpWLt%I1rk_1>#_nRu0x}6TADU%cbNf7vFKi-HVNBg7y%NJYPnxN9xuX#(8 zPoxe$>>YmJjtb%l@&{(3WPHb zBv}uGor+aZwnJaTtW#g&t^NdgFYJpOWA52$GLhaIUC3457Gbq;(Ohf@1?bF?$8jL=MF2A(F+aV_XU z1h}H^im0(Kb+@Di8$SzE?~cwyDMv25luMmm1NdQO53>kf#0#<#`!!rulIVgol011% zZJnQF10vkejOA$*n-yQpQ^Z=>63D^1>%yd`wXALP%bI)(#tqD~1f8#8_qkQeM@%W% zD%iTrXm%S zTeEp9+n~iQ{n!o5CZa;*RD^E5uO&z!G8s_VX}44XAtNTkABvms;bgMyaHO}+83B5K zk4wpChZy1oUH#Y^%eb6A_Y=nTWO-Za-U_o}#!U%LbyFhq{ydibOf7Z-{{fCy4pyr{ zT1lA>n~V&akO50}GMO7(45kr8c}jd@)!u@X+(H75j5s8cB%-EH3+%0Z9i(e#K3dui zTYaQlIH|r^>fe@>h|}qm@7Ue{XLRUpcBbLV-XsMdY{Vhxx&agT8jR+jufibuH=zD- z;WtKfgB8jmJGgpB&A76W^k3V?W?XtXYwi9iXkwWI9O?~K0SvLJzUv+pZ;D;Vh85KN zILa2P{0>sCJnqwjzG*!p6QpPXlq=3>2{#08dddV>O-VS(>2rHnXQjmQ?M2K+ zr|EzZ)+~K&ZkPY8wKBcp?JG~AxfTF>QJ5}I&UaR)(T?$^r9~0-e=Ilo1i4bu)%{~7 zYq5q^(qZ@n9~RGofOb%GCx$-*G4ru`uem=&!J&ypX6t-H4J+g4D|330?^a1hQ#lF+ z&lGp+J)WScli^%7%Tw=)L7nCX>l9>OHV6CXO59Z-n~;3Xu7EsY@UPiRBE#ff$L;U^ zjt5mkuCyphYuWvc-t7RbN_|~lw!dsd6m6vEGbcnqNZM&R zVq~p@GzI}nitQNacg2?4q~!-=c8A}v4-%ly+>4IJ9Y@-}fWKj3U7S~}mvLrg-<>Q` z+G&7&oV9Zsba)}!17=(A7f2C2#>PfRduD%_4D8woD=a4n`L$`aaJMA#xT2veLv1Ib zVB-@)JQ4FDZHNb7c)rPtLeoA%4wrhI^{hvrM3#C}`);qO*(qDS zm}kJxYJtsuZn7ApQ{Y2Sg1-C&b$VxMgYNWkSqA#1!Ndcl&l9f$A{+27pH1v&I$JBY zSXVciMt9!?>OY1$CHsb&9eSxLPZE*>q>Zy_k8EM1L%lkZMsjD)Zk5uM*fv77BC|!d zFvtSnx*6>O;jCy1WfBAcC=;Xh!~0$^)LG-){mzcrc#T}gtE<3;MYkX1f`7Ppl~2;K zH$FAk_>oGi+26O+V5dLMtv&g`*8|+XOZ^ugcsIVrEg}L>E=5Ip9bT;p*Qa@E$agGF z4x>qp#@j4CJL1#>O_8^Z(E*lG)>&sQZqQ!q@!ht+_L$f7U}WuNYrFosn#V(ZQ%$Sb zHgyq4R%ocx^uuk(AJE{hwERlB4+s*WzIry6y#NBpL9L2#HrkukRmJpMePauS=u7}s z_X1?a(}q}!(+P#PtQCZ3fL z0A7{ekU$N!v_H9Ns(U#etBw)22Sv2)BZt0uV|BxawJ&sg*ZaI6m+Ad?@#~&;Nk>ln z{MjMQqlObC@;IU9X=%{ga&Bx$QrNg}8mlki^It?$1QKd!V$H~srulS9kYB0$c>7Z3 z@0o2rn=+3#L^Z0TOxYwQZB=59acB=|uyG5RF151-$T^cHlxfUg!xuar3IgO&8iBM1 zL%R_U=8TM2HEyUx@h_=S=IFJ#zbR=_jhy<3WLZPirW(Ta`S`j6M8$$;Gh*POagGGm zyerX8ofv8ofis4RH25LHUmgLB+++)RaRSQTo!Yw;e-R18AwsGlgoZz6K47T9^vu#$ z6N0h8lJ?Elsfy4Q^AlO%2T5G_vll3?VG{1U<)guP`Hdbj($0&cCz`(Tayo$=B=&)2 zlg5u!@?~Y+#E(T#C05o%FA%&ACFsA0qC(?`b{`1h~2YUQv z7y*K%Gl@moQ=tNB9?@}*zcFErW);m(-)h_uRo?xbp{-+DVQqL$$m|edDojRBfWSR} z!f^8z0QsJZxhF2~UddOaw#Jui3dSmVfQ*Gkn$??M6wM1v=be$>edlM0ZM;N@PGXF3 zx2+CCyqi)20o%&9gHUaqCu~TkoL&EJb5Oe&sppW4(24Z?vlS^q+N9wWo za?-h5->M#Lf{>iA>yTTtT1d`Iqem+Z+>0x7pb+;Dygc4=TdeS**RSo8f2ek!z<>Gs zeQ!)(FFrm`7){r`hx3d0-(j-<_exY+0Oi&vAAq}@DU-Vo;qD+SeQno3kd=$PHDNHiL*(l)LczY7>kvqqL8(-bcdwP0En})Ar zDfS@iqcchGlCc9~>RT*6fKeZxELO|yq`K&Wo+UTzt++-!F~4z`1kzt*A5I!Rm9Xor z$l(sebAk@2O#E|MC)Kq*eT@*a6X&4Ax;E_3S`+;~k0SIhJthPs@04mPtZCE6wBp^( z)DeU6@#&9Ds-DOIz?&Y>k%m`$HOq^*;iE8nBny==$(%Xb;n4&_JS%PsEINgd2@Y6DPWAW`{tRrszwEzq+8=pjfdb(G34_0sG) z!rwH{Zmr_SElovJM{lex5+Vxr%W!Rrkba^7@Q)XwVXtR z`ddA_T;-0IhZdI-Qi@ZoGf<4V*)=RzM_EI(U;%DWXM}dB%YYB<;On)#X8un$>zCqx z&u$a4>jMU7;?|W^*bQglu@DX>-l=z4*zdu2qVT?}WxZ2@4Zkuok$q`G5nL5ZR!;Q> zkE|s$BN=T5m2X`R2muw>n>Q%GPOI5vTQ?O!dBQJhcFR2JvY<=Br2u!hN4W_H-~K7w z*~-kRF^puuM^y@*yT$(|vZOw;+3}`nmnBhhteR!%rF4}<=iLt5BHr4%1T5$M^3a0!0GvUXj-nc~+0sFVb`Gl#Iu)b~8mEA*X)veWo>SV47dF_Bv$1@vjG z1IN}b2U2f)_VtJ?8~dj9Aa6RnGn>$yZp<8Md_mWcq41@Z`|#g9!B6t-{M7(k9RLDg zuxEnO?$*??t=3Rtr|1at6SXY``{G^7fy4Jm(hjLThFt|K9%$By78CDRg`F$t{5Ja< zTa(iCYag%JrJJpomd>`mA}eNag7z?Kex1KrSbK8hbA@>$aF~_^GF9&WV52UWxMAg8l2yTUTM)D>{g zxOOOp{i}T+PQZR^!b)%<@)A{jvl4KM8YdQzj3YNRHbc27K@e%+7DP8!jfm+ls0FtU ziaeLP_zh3GfVXHZFJ)o-+h>UCoJUd){<#fP>~f!5d7`x}n{F=z4(XEm86?%X>IPrx&F}YT|im*0F)GUM!4_o@a&uhq_~QI@wiamjSb*$91g$R(dBTME7S zk=s60zh(vRX@h^fM%DZc8xgyOoV95yLI+lC6fw?B_?&N!Gl0084>e#=-7(_WY%LW2 z2$)bmT>cteN+?S>?Phh*d~g(-P^RlVZWsRUEl#4wwIeZKK&);-0a*^`Q)6sdxn?N5 zG~22CYDrwGAN*^CCCKKL3-l|kzht^4^xTOZ3QdK~#y#eW0esXN9TBYR1j0+JJ)szP zSK_ntGu*bA)agV-8jT!xT!QtT$^##AG@PTH7@;)aT{r355y?lviNQx}`L3^uk+do5 z%GOYi3>}-V9TASKpX<~*$kBt#2oa1AKj@C6~7FBfgJWbG{JkRRMS1qCtJx+{+d6%g z$nJrQg{(y!4i}rSEDIi{m{{isvJP#Do%x0nrCdY=>6K@ z?3tWb!kq~f(fzz1KkWJvu^}U)hV+xgl%pu~eKiR+88B&|&FH0#na(8J8uUS$(XN8m zYXGo(&}HGEg}?*ro=W*nC2W9n484%J_bz!TL#z-}?#^xQ@0>CJ?DxN*AD64X72Q6h zN{AAip0jqIe$A-tXW82Inq_(O2>I{$asN9=|upBq`gU227!O zbiWY>OtrVR^cw{l9z{m=KO)s&w4qJ1DEgn+55#k&GL1$kH*%tq#C~Oj z3yI!+DJKHnO6SVay?83OTIp1rlHvA=J?L0I3DQm#)X); z76dhuxNTNrW{T40);D%U|qVPh0UANlIuIsi=qECRr;F)5v6*+ zPjU7WDF{>XaPJz*Rj=gETGEe)bh0nUh?DTqLpg&QIWC-gsM-M>#tcvH=tFrJ3C3V* zCiZcr0)alqlWixYxGp8*P`8dYId$%HH*He^`UZiaW{c(+rVbyU@rJX+4&Ekq65jMh z`7

r8kU5G_0)L-%B&GDDk2t*`da)-ZJRd#Tp$X6KT>E2w&o)_?Qmg@+%a-VgvCA#1lZuBt zP)gMr;Hbus8|809;p_%32w7-wX`V2ht~*=Iee(H9Jw3BI%oJ=Hwd4T-(?(pEj$()q zGSV$dPGxl6m)P3PQ=I#w+1z4U`An_K&C>qyX)7$QAwa`%@qa`^Y!+7LOpZtrfy3qq z4oDC0kQBZ+kOI}hmT~r7gE+m#X zah1mGkTYwRO!yez&H&EEf$pQ(gSdm#VXJxGY`!usmAKOArZDg4f!)M8KOm5#O`Zz< zCp4iM_nQq~cEIz|#lfMOCQg%F7+%=Xc3K!#;lq;3JbKX2$AT94ksByPTCXWf!=1w> zU`gST_H=Zz@LzwGy&s0_-RAD&hjX;2jr=dAZ+EPcc)9j!JWxIx(E zv`68(&790Yzmn)jE#}%(97OxbRLSD79NJhCQRnH+V^g-j*3fJ8mhe(-h{2VEO7lHhF|WL(I~@fM z#XD(#0q4W{Z34oi5CtpWqi^)c#{`2bjW1B_mgyNO%Bk^k0vK<**v8?YUu|pp9n-FB zx)RHujYdV(oEOO6{VwG6@rG1h!frLKo*HRBB&u|6&L_3FW?aW*ad4<%vikp}~@KG^-nG&-YJs zrEj7ayHn0=0>c%(=98|!iSuE44l+iGkp+2WQf{9loeGV0GmUeJ0gHEc` zQW}5G`w9QUyKSQ-%wcL~4q|i;uV^6#;LKW*y@A|xLQR%-hz|&eW)(6F7(~kginbzqpL8`@mB8dmLV?G$O^Rq~Afs_u4#KHM6`$_l|Np zmRU8sv=t7zBB(f1%K;8Dw@OsY%kVb3x^=IU_Aw6$v6{>?3_+*oE6!|HI}^sG#nx?1q&5B3hQfx5UgYsT6QBM(Lk%s5 z`t-uA0$kpDSDYPGT@Eh=sH>0RlhzB+SbzSXH+fm}lrC7GtyEJCrJxIMd~=Al;EtHlW1_T_%A~h&x>uq}KXzR{|Cjb8mo0CibLV(xFiNZYHE+;Q;8*iHA z(8sFJ#mV-I2l#)BhD|JSU3);Joe>61j&ypdx=;@G!{y-{Hw+}Rpdl4dvQ#yuTZO3H z$vv?}5K!qPQ@Tc;(a%SS(4C(O$wds0zdFqTZ#Qy@n>ZDi8p$G0F zQc#MkYkxq;^*8;cKy?`(S;9|XaZ!Fr;Y^y&WTqLRTtPL54Nj2cYg~db#8{=}UNl#( zTf#h4d;I6xXKQh{+4y^?IDFY&D1K$TvSM%JiEg!z11P($JNtw2%318kB9)d{22<3n zj(v>Tdn|3H^b=u%$f0omT`=|iDEj??y~f+F5uJS8_W^H4f+C@#&>)T2tC*v|Vh6Wm zfhm#~uhptaWk#7I1ZnQ;LlM2{&69iEqRQR}dNNg_6c1Q_u5!iMIBmfKQ7i|xkmdxr zcm&)U$t}c>vsJ=8aIi7ILvkx}yuhw@)aXJ^f+9h6hyZ5lzSvZw#gwm#U@%IO8R#`H zE5z$FdQtKFBz;4PZi~H|Fe!nS!hmg}gpJh4yLc3u&pFJbID{#ZD@Y>OXI>03`8`1b z9%zBgCpzbZG)*S^Ej>4`3PanPr%cb+d)qxqzQ7areou6a*=jAj7h5Tu;d)`t6xBI0yDFS4A$54Af>oSOvpo9*hN%O2vk zpA0)`KUcWh>h)~i-Y@cH0z2&4dCRcgIa~38eH?|Pa!)<0QUo;v4`2_U7YP>E^y?iJ z5ER?ctEjk7B&@3(5ox;+PandkP8?-o-l@ESvHyhKwI$2npjnGMQq+;&$O2uMF`8$kZ^VB{ z#t^CSy1O{rOX;2E>s^c$SdSU7EvcUSq^cF#Nxx9*LN&D&7o3=a%IH7= zJyV{Z?_e7&O%CM35Tv5IDVfcaOy_HP4uh`k(PeZ}q((!7uNPpX8oayOBTm=?iVI`>p>f8QD_bf~<*t66E8HNIIje~z>h~U<~Qg_`g$mSpNSHQDz z%j&mQg}_;n^>)z!oak)?HT*twD+UtaojEXW$HNV*q`pAd4esAYFOP`^Y35!AVJz1B z_{8B2c&ynxH8J^efW(B9AK7x^eKN|>Bx@p9aDr_T z4^!(~K|0JjDGOP9e&dI!m5u!tuX|+&_PtH?gKv!~J9FmES@dfGx z%U-@WV!kmn^FH(CF;iV4)Sj5DT8eadrO63IS${M;Q`Lpy>D^`;kra zy1D@OK$1g;MWLjqI?)l2j+LTaVl}7bQB0CJLxuRT`%@*QOlL>jOdz9mvUq%5s4f=AS)CCd5I91^SXC%x_=5h{Q z94$Ss_yCvsILl?y%hkgMX#`mnP9-F4lrxl{vi<#xD?G4*&a$r6c>N;5cii{|e#;k| znzTD-U)Qr5Blp@umkA2wFEfUekCc>@S4=q{LubL^Zff39lZFl-Y-5D6RhbXv(-8zI zMEDkW4gM+ZVs^n{x|CLa3+FgEk4$kjw9KCQ>t#zY)KN>*d73A2G0gJ&@ZUa?fQnWe1 z_T)vdR*XZ5gEB%JY19 zPZoJYbzmp_I&ocBwwbH+PMC;S}@8v#eJ%2<{>F=T*WT#gb__xzpuxR5d%gk z*;I{t%0&mnyhFL8i@nS*%s-!BibkudOJsBdg}LY_xtECn@Q46Zww5rhP3`S%TZ!0w z!$M~qTo?!i3RQ{s@SGfkw;UoqMLucytY^`k^Y@zHoWse&MJeEpOo4Z1t`NdzAZWYM zwfh3R7`=8k{c273PJ&jHfONuJr}S|&i}sEBo-7evNHlJ6j=Kvq^@!QP+hILG-A1gF zSb;5Q13)O%6tL&xbE?js=I*F@fd5@fPuvF-x=g~*rR&byII#)xaxU8pZ4cq*a%0x0 z-Tsj;AXx(_Z?c!6A2-kE*`lnq4o_doaNK@#sb{6C5(FEQQqT`Z$8~(33mw)DQlBW6 z*fff;ES%+CoDDh3F9Z@tqohzET@njq3~R{1kBt-2Rq!P$1HV|8F+oYDo?18QO!FdOj<-i-ib4i&TF{M^&I)-OM{qMe z71gF~Pt9siF>Wb$?VFK7Vr6=QRnoL#4U5J9$fJ6O7}s)7%EG*W+$EP9#x z1t{6IB@Np&KD@YxF5|Kmcy7F=b{Zl%Q?}ZGt>5N?aD5)<2D^Mj%VXDxzRuWHqkfsv z_-hX3AK_ZHWHU^aFJx4q_JEUjP?xTZkL4PD5!jebgq<^pkogMMt2}i`H2U<*h&ji( z2ijqS8IbwPC66hvULuNLJ6YR{gRMZ^;2MCbiKz@WM+e`e!Xk3iSW5X zQ;(!8CvezU?fP9?PEzBuO7hKnM{Un8WX-s5i5_J)9e;Mk)A5%eWQ;4kw(|?sW|NNU zJtOY#EtVC6q2yf;MVFoG4KZTsO@Z;23Be9WpX>%Z$5n7F z*&?}lugD+b#TD%`*bYU>8z)Yg1ZF;fbQ}8In{T04aXQw|-EG&NJsN7*`T%EA0eY9_ zr%@##-9ZtGVTaM5jn}PQmySeTiKjr1!T`FT<~y>P`%e%cP-3rhu!o!C{N7WNgL(QUc4)Kbr0FO{7RD|{iILxAyKfe9WIST;Fq zz)3Fs7lMOK*~Ry803Qbw;!7Yj36poJZ*DysnB>=R0+<0LC#O`zG(A$AkAmd32&)#O zieEYi!R~wi!nFFmqIVFeeR{enmdJkoz0(~O2e^DOnwDU}lfMUE?T8ENbfX23_K4lF zu;TQ# zo=B+kt4LgdZS}bd%SF6K5PZUOO$vCL^pXf1PzN-3oDZ+xXcsqf^tEB|%p?_FjdO=@ z`(I+>mg9|~PQNdBhH+lH{ z|3yT0-XiX{AO+&N_bI!Y1l0bl;?}_iX*;c@(08OH3rDrUlIt@cu(w_CmDGyA!@ySp{D26T6MAaQ=&{_+9`LAb;!{1tA3@Ayjd|GlE#Dk zsxdhxux%h=l+`09cKl=^Vj*SN)F3Sm_Zax&6jdr#0h>kt{EhOezt<9@dMU33^S;_R zLYz=vc{E2ar6vX0{t=@OPdIinJpeM~wFqDnBi3ROv%1@oR)7LV%q;})%+}b*=Z3;G zC3!zWUNA8n+Mr<-DA0q#91+B=w@HSxyjtP#Nz!DHKB;5G(SAgAtj%XRNxcD$`=aEp(eo_& z;t<08wxlw#D$F9ievB)P&`ySb;wPgXd-2HSLW>SB#l&n<4D60{Lzn_X?T4f$x_i9S zoMrSFG)BrtqA45RC!XOmEzMnBMhE9kUMY>x5=iUD9fY)Bz3ch+47|15mgYB>Eok$` z$hqgj%Z4klTmYS67W*Yj9IE!rY8hc{(P4$RniI^O1>7O=i1FoKIGc_R4m^9$IA^W0 zHA!iJu35lBqoj;}X%ITZkSB%ltwX6an=Cu6?0db0rTqrR%0MWDmj&3|;O|C~82KyP zxv19c2{{D+Rc^ft&zuI%!);Lj} zB*~~~cN7sE(CAConX`}xg|`bGT1C!a7V_^g0U=1fkn=Ww>3b3Fm7JowMa9^q^7ZF; zKG2;R`X>Lhk;YjdmroU+K=-Uu=t^kj_8peU07^iJX*}D`iNP{1ZZd;1XFVF}@O~XM z>IQJG;y@9m)}L)unf^n{Vmm401(DyPqb8p`ZcGsXXQlw|+gvofiM87! zruR!w`IT3{O|aPVuL$NrHIc0H`S=gazP6qjtx_V0+48Q7{!CMPrz%j^;)3&E|FSX`jo?{3*FykQbFiTbcWl5A__Baj#VbiZQ@3Vo z|68?zmW2vxLF_2{Hu5Bs$!~7SbgF6g&faD5p^rj`R$Bg`D8*>Z>uKqm4T|ug>R&g% zhG@9i2_9Dc#t1>O7lpm|(`Pr<9TJnsdcp51?hr`b4Y;_Qfmj~6iIQh<#JEhu$?ovQvkyb;a zI_``WhbtLB(tB5L0ZAq((MbL3)_OEre1hX!%mTOpxNE?3f`SZ@DNnC{7I;wKI^!Sw zTlsPHjM#(rpQwm^KE!4#TS7(mHh~}nQB)bV5~zdsIYbcf&2p8Yy(2S%WqTEQzBJ4C zzfT8PD?E`Rgw`SdA1|XLeccqDfv*8A^u^m~&*i>nL(wCG?iA@tuxbz3{FOQam2`O0EPmzF@qOj^Agjt+&utkc=Wd z-02I@Cq(=(gNG=I3GfpsSY!94j(5CpK^iYON`5HJ8;~H-%N#R2^y)mMDYnHyT4X+1-BGX(#u)X1O%J;G97g79#jP zXZKE>-H7+6#YT}UC+KEzd0vgS2?EasXMfu=+!RU}!(58UtOR|pRolo`V!^l&ct0MA zX7m$c((;L9a1`mj(A7z_`1bVwtvd-Z_1#o2dn zV|@Sv=?33=Bb&2a)lYNvpNhC|$Fm!im^Pxi6OrU|&0X)~pYq%XcCCFGiX65Iz^}3V ze(=T39SZj8G%kjHP5XEFe)6-S5U<=jNn44rEA!APu$DxI%<(AUbdy;sBPy03nB)tE zVqHP!_qYTtUuPR;V|*E~2QaIPWTL_ZI?rE1-%o?4+xRa{^a|%>3Aos3MU#gOs@Fd` zLa2}lv|)%gkKr}*wI4I9q!RBEr>RdcTmztJakd*jq zNdxBaN1XUQ$vV1a!V{9lfTF|YOOr;0T__rgnx4t3t+S6#QD}@saLfk<-s}QO<&d7{^FDAWGC>9o9E5fM@z%L}X zlX7>qRn9R~@JFj-^-KovcCdDbI?U~F%|H=SS4RB9fr<{Rc)T>Yz zL^^U$(!=3Nocew~VeFII6<9P2K0{vD&<}_Uv*kG1gBwk^fL_koH;S;?Gc&(3`F~$X zypa(qL^#5gx{rU_&XWWzF1CZ}@|UT?`)SS(u$fv7@Jj>oTT=V%`kTkm5aLg*7O9_4 zr|7Be&j6VZWT+KR`HQ2#d^AoGm1$97DE;ZN9epG-cp{{6Hli3yzGXSU4(B7s<7mAZSo| z4AzxIgd?jUf=$(e6Vx7yn)?UCwO7@|k_({zfy{FjeDik8tq8;T=ze<@U0GR#$VSip zs#ZSoI&hU{A_cQPSy#G)TX_(6KL+c_S`>>wCNGYpcoRL3R?(M)%N{cp}+lK~5Y z!b>lt9g#AGf{wO}C=DzG7bqzZ+y1*^m73~L+A z@Kyyw{xi1^j1ETuBIZ%_bLZiqcZa#b%9BJ23|1H_ltNj81(G_s>75Zd?T$Shn`h}K zZWQf6pS0NpFj*DiGJwX+&p%ENN+s7+@74m-X?Q@;)@4@>m^E4Jq7f9wk+kwnvZ}O1 zE?L1U1=Nx0E<&f!1}4y)?sLkb1kT;}$Y@8OsU+t>CUG4#0l0PikQs8+9jEdvQ;Kex zlWVePd38*Qy73LI9IKKaH*T^IV-%29mzDkrU6tOa<}#>?KL($z#}y8N!}rldC2W0r zgn}_Uq@Ar8UXT8tV8**y+K4+^wbMx~)LQ<-td0QiuPa#}7voyHanKdKPatCCnz|Q66lYI+0F5vs+?b$owi{4{`XeN&`D3kfooJ{}A50trq=giL^&ED7q_#0JY8S>{|S1FOc6+<;}vh9!}{D z8{%dH=Im)FG^iN@GQh6NZ3YEn+1I!c;db|iLHJRC!-F2g;oRtPAug8Nx6&m&K|NE< zoI|&$gH61fvyR?=IoAscMei!7OL5xPF`&tf1;LMbQG8!2!eN{r#`7Szs7KO$ZRhO- z9PMK8uB!(E7)WVJ;L)y+8VMFDvzPo>aKLR3}EmC1HV9oW~*N1fy0onDkS9e=`E zuCQ99oGrU^x4`J;K1U0oDU+4B55ztev&?MVuGee{s&7ohikP<&w!D9oYOT2tP^k!$v>Fsp!Cc2U5r2g-_- zQ!&glP}1TBNsIrul%)IyNohU7YIh+bGa-ehp+G{&$F;Pz@gWlhj<^v052dLD6n9gk zRQ{|dL=CxRaYrhbJcDngsPJ{b)3i(^NJK>g0~D`~yYdDZ75v;BpVnW=Cf1|VlOiS+ zW)-JV`wXZHm9FHfJmkHgLfS>da>&t9yk8G8C@>meZbBAg1V8D|FSF#L$QpQlsNM{Q z080q8JPg&If6N0skbu3>!ZlokkrQxo* z?ssO0J^?2aqYLFl*@kwfkmdExH?WO0HPFOcHdS<*cx(CKxI>;%k%En)M-rNQ2#qfzE7Ve zOWqUKj;=90G(9LmN20yn**;28;&%(^GIm!qs=Ahd3%l1zUckA;^9!!7EgjP#i3USu zn|Jn7ESvODq~e?DPrq_#_N@GZZfxle!tBnT^>eV$G+0|e?aMhd zxQVuwBIQO`Wmm8J4l4v}(0`yzz)_CcaW;`sBI`~&NNiKB=9S^VC-@E?{S70~_H;9A zUYQxLd35}>@1dMpbhs(>8zmY826A2#+{#-Lr&4wCiZ#~4ybfU)>wT}VWp4xMv}$N> z7T=dptY-Kh&EHA{c=pN&l?MeC;0RfOA5k_WF?f*8hFLPQEM!4hiAAZ^ZvCielS;hRzK!Q7!&rbu$>>5))Ze@LTWwffO7}K) z*n4IyeA>#P%i#RNem*Ix_Yj>XFPaXZ8@ye$+^p-QV|^=~&jQ+7g&3-%6i?LX=rTn7fJtGmjwILJTuuQCP_u?RnQQL#nVl{!~v ztX-U@C$n0KqWT{hj}4*8X)+-zXeM>#T3p9XLm2`pme`l%$Yv9@k+SJvc+a?!-jJIF zq+M_PgKxF?RIu;eZpJQ%Tel)3FKcSQ@|RCdwrHuCQ)K5K3A4*Joy2*`8_@NQUu$_f zT{A#8)Q0Y}3d?*Qj4oh#e<-H|%vPaNxD1j@)gV8dTce{BNY)V3Xv>C3U#1;k+<+0| z25=T4|Km9PL?af=sn7efD3k{*pNU-8mH(&8hvfH)gZwUPFNyU2A1kW9CfW& zARI9+l^n6O^~t~-oQPyBFhNW1ok*l&S1K#@&agm&D;9-e1oma?CmCR+^pIZ1hvHr0 zW2tK!r@)J*RV&(=md8`=H#PQP?YEZ=HdT|OG@!NlTzs8C$nv&;3s}tn52I}Sxpp`R zf)v#?iNv%|MkuEBtpyGHh6%Zw=>GVHe)DgdZ2A`kFhS73?9&{dYM`J=4meBmxtvC3 z2rY-~`~ySTpA@fDLvS7!r_cY653~KGM{XvtA66zyj13w zP%8{*B#7>3IanVpg)nx!@dcB@j&=X-|2nM{9odOFjkt2Hl2DA+e5kt=q}8A{0Tx7D zKtKr8JWhZ7uLB* zQNONm6kl`STYi4Cta_k)CR|$t&GRrmD*Qu%=pL<9%!iTe&X()ERbLP1Pc?52t0rcbYSsH z^?S!6kjB?m%;78X5h8i(%K`f05#69^hF8BGM|~hZsB*GUMQihn@uXaU4$sd*T8d6g#i35~CJ%Vq8HP9-7RxB_ zx;jvF8m4Nt;>m4?@r#aFX;n^!-cOu?N+3;Z)Aa!0upfA;%WP_C+1}^2LDCpXnTpz1 zFzBoO4TWv#btR#kJJt2w;Ae;(7Lp`l3xl78aM-;M03=^~d#I?!+5jv%$d5i_sC_}6 z%|rB%;?%$FM&sYLvB^WUoe4po506@2Lhq{Jw+2iK1Xch|Q$-FpT&=ZMgkp}EYf+jD z!Jm(atJt;+^?b-5chKguWqd%-fwbG28?NklHnSjPs%0+p2yFt}2I%cJ z=t(?7VAUbUm4caED z7LCu<9s@0U9O&J%E9cD2)V3B7{z*) z8-C}ruvA`;H9Y&dkLo0P%{wJ)fuRClNR+Utb4uThnB;AY=Dp z2dJrQw?i2zffIg1mitk#@-*DPo< zD#zB+j6okyC_#ya;QyTx`Qo7~6Z_Poz-#1?_EobioiVQ2$UpTL@nY*; zf39GFwXj344{=*JPuOhSAo5@#8%0lPL-u#WKEHM3W$mhN=ax8Hi+W}Qv7QY3G10Qn z?yO9ZfdHfOzw-a6|z?q-RjmLU#XGma8#El?j#>) zvz)qP2V$Lw7AWa1Qs)eDpYn0!ge7adopTiX?Qnry)R~{@=DJfi?|5lj>!>fZKK%;l zb{q@=lE0TtGjvSfm)(ZBRC@qOl50yghb~4Dw18b9<>bThw?84&>d+Ms^bx66RZT1U znWwDiVUl@N2qykF4@~NgJEjuK0guBvO__oVntmz{i!S`E5UyT-N+P{jfrVx_F7LBT z8jsfSVP1*4cBmtH=?uw3Psd;D%jpM`6)a^5f*CajE@kHVsU{Ss9Y*u|UxRWi4bId9 z;6qrLg-LxNd9QT-Ppk+2+#$*>CvY*YIbokljyxqjxhKb{YojAStx$wpyvsFUqfLPj zl4@#w9xu@9Qz)uHxtn3nM87K~amAVB=>2U+);mKZ>EokIL)Llq?lwh3ar%2Vbr6WI ziB~*S>+Zt{>#jYHWKvE1!T*}=eCap0vT!YCs9^e#2RXBHVSM4L8r!C#bzpQq%|IOc z`6T@V;QAlXdUel(p&o?CCS^@!cEnVudPKa|VYxD&VVdeL%O}WPkAC z-A!{Puefc|cS*)?a?6XF1T;q3LQn|(c8}V)G^UP#g;L9=>aU#N&`COO69gnd^WvC~ z>mH7KTT0RipLbZ-(jy0ezML(ncy)d_J#O9tU{Rw73IVl|_3}nJ8Zp0Ypc0(O8)@PnZ?##= z3{DWFk;k^|!EPu_08%rG3dzFWV%|c)eCVAAEmw){=Yz&V^}O_;W$R+FfT_<{0Ah}> zT$xSfKVe$Mm^}#HQ8!_uh4zSP%a*oC7P4@n-6Jo9QM67;;FU?bl9OBXZ3uO5z~SwO zcugq(_;%g}K;cCw+sLZ{qBB|~b2At9#Do5Xv(g%^f4e-=#UfES*`ztE%dU3Lq>4SbsmMlH7$V@9cFz*+*jX{OFUeZq*I~;B%0^-27& zRaeD2c&v5wG0OX$QQ^daJu>b>Pf3S=HK3Pry@PoGwCTVzJ64_F!EM z03y31JuLk=35J&uOV}x!pq-Ci4LV?$<2wEx3z5G{dP6Kt+RkX@%bNBa53x#igOl=J z?~`Gr>&}PY)Jy{bl7PWw#ttuOSqv^#)q3o|zPwA!JJy@=EiiH?^o4pX7^sn$HE<}U z=YhOAgJ4=o19ro5l|I^B0~@sF9kn;EgN{jdsBKB@;rvO}ve#2CR7`7W4mPnxD@w-M zW(tGqj0RdzY?XMVQE!Zq#G2%1V(r(!6I1e%1Kj}=XvREm8lR=cO~6+)p5Ha$1y8^< zbi;|g*3oAA9rXCuBSjEmg1}Xx<8hD979GdzV}%#W%JC#R-5^EfDPkf80`FZG@XEgD z${hTR^mPYg@D=l_h=+sEZ_IlqZR)AcAj+2(wQR`veRnArbA%ZAKT*CulH*bSJ5CpU z#kKRe5j{K+-*%naN@q?y$Iq7Tr&M;f$#Z8LvZN&Q_YUr0M#BIm423}D7%$TyUr3~? zI++13D^wPXm;sw4#IKeE0D$|Uzy|=z9hK`IBR~aRQG$yC`u}`m#qIccjm_AXOsCd{ zzbiI=93MeOhd29}&0g8OUj_AvIs%ryj7vtZ5?xJyIWibNBb!{Cp2p)AHzOWSo3RjZ zhwlau_n(dB``(9efFdzrLMDT$uJF>G?4{`Q$wzl%_wsue`w?ri7K~!*d_xJD)lj8c zv46&|Xnu0e0)f`fjk;&CFoo0_sc+Y|+TCDPq6ysGlg`|%+_K!k#g@a=|B{(xr%v8A zSSF$X*>o24Xa|rEgh{lJR>ono19&r2gIY}IO{-c~7-D3wdOb5^@~@quOC4HojMvj8 zQ97q_7~wHR9gRB0Cumy>CUSMzel49}cE~X9&mfsaUJ*C(#(rD)0tKgLl@^x5CH?OX zvQflnp0eph*L|4eH&(EI{Y>gpP%%p%zttLHW+6P(Dmj-)YYxi~j<)r4yq4Cj`@8ec zlv(p#@QLMWm!%aad>sTc-oT|s?IbYuudCKbC54txgN0ANz4tKvwx%}B!|eqe)EBzq z#$C(;p&M}tssBsfNQGfX9z0%L4h2)WvH?~NZ(~o%j9g=Hwb_m&LXkf?{9>)=W5VNjLr*s6H~Q8(dP!2hf2G*Cn0`Z zIqWk1`D(9ct9IqkH%F;$qKHuSbl(THFb)Hxojrmyl3xOH#_i+6h{L-}FzjLgv2A-D z|8S9Nvn`U!YH$oWy=Z9Hsz+0 zMco4SnP>q?X&SX!oV>NZOV?;9rE}$_`@6(5n>pg;gB%6JK8m$1N3^5p=v#C(#nXav zm;aMJ^#LJ~TMO7zN&GdTt{t`r#ch-hrgtVC%d~U)v=^%jIpW6@k78}@K>SjtRxc;- z2)OgFaTY#)PGhy>-;z+MorL`-9Y}X>2lsC`)hRMgoPQSWOnl3*6R^RaFESTSrTa6w zkt;a>Et?9p=I%6+P>({M)ka~i_DWa--+n@k zV^4xL-A2xu?Y8EMM(P86{+FE%bhC6vR$`x;F&^sU)*xi9At=PjFVl_(7CxcW1IwF4 zuOgj@;nu1!fpV?Sij)E-*1g*U_|YS^^7^d;(&(&at;{B+D?JNp|J53T{KsEG=TKpd zQxvVeC1pt#QV|UpBx2LZAtJdj;3S`1_ivc~jwj_%yf}p#)F+kn27uo;vZLQ5u1v0J z4ReZ4%ck+1(6QWW0vMMdW&m6MXtFpPdOkP`R4Y_jz>29GR8v^d5q<&C=$#*e1PdIz zS9$A))_-tHah<;H_+@Eyr*{dj7vy_7Nl^18dYkZ!o0>UN)hLcz%q_)St{(g~dYfoJ)vI1^ZPuK=gnx(Bg z0&Hx#(D?G>(y(R6Y=_k73>s= zLX4f|ZQ~L!y)TdA3l9Isdr&k>YOKGo!i;QNv}VQa7OU-CSp42ZiJz68X%a z4$7->O<)%mbI=Ls&`g2^8M5NJI71EqxD_xmF=r@KOKL|1n2L&YNhHc z78t6Fb9n*KX=q~MOxD-ru%+W1h6}0$@2Z=rdBnq5)9U1nO{P@dT-`jG?ZhJwdgnmA z_*+ug*z`xG2C^;t%}2$8olwED6*g?qbIWG+1rOwVBJDLd7-P(T?Cu|)r&_hM5|#WaFglXiAe=`fGDo$sil z6UURaY=cp#6^%M=ik@RzM3BBRh1E`FJm5A@+Zj_>eW@dPM8T_{sX=Mi7x}(q2Ii*V z)!2X1khTzQ$dh!(cVie5kw%(UKvF0)>k7CSsRwyKf5oshIeU5UheU`kW%$=vy@T|Om0 zz;ysIGT2;5K*sIe?bJDG=N>cTF9L!R%U*kPe#JRso~I3((Eno}{wU(wqpn?-u}e(2 z#6MPAywfVJ(yWGni429#@3O6>NxY^kE;Zr7UwyL*wLgd>;O_;P5WuLD-;y{-%WskS zk%n`gOZ>%yogdkB{pYySZ=_^!!775#uIZ@2;NE$UG)vR>?elrmWTtqfi?4e*O8L$+ zxCCztU(RNuKmNir8*H)Bjrw2Z>xFJ0%BTz0S1V4zUo0B2(rK&|5i)ACAF9tQG%l4%&*pKl6L2NhRDF}0av-`sg?zPM158G&n^W8%2>6;NGeh2( zqN?vCGjf%wg+|`|6}US%sN(QwMYjK7rzRP^uo% z7=v}kj*-Ef?dc~@{Lqb0nSYWBo0k=Wq6Ie~Xd*nz6HLDC_scQ$0I$;aqkk4F#v75z z6vL?OaJ^S>Z-!&Edwl8?50nx#(jgX+USOz*M-uFM#>gN(QH5>UHcTPGt^369U4`09WjB)ck*}dqWoJ7!Aq*m=W;$l*U3u*H-Oi zziLOzYAb;QV*}LWi%6=H(uP?E>B-({sGAVbcM%k(1R5Z$i8;~zrSb)KNR22yHFo{z zLN5%R^`?ifFtX*ezYFl(beeL<^M8t%nB`W>4sL&wi9vNeK6KDYUXS774uQqG;&;(Z zg|8}0FtkZ>U_Xb##<}90`yZ-vv+9VN{6m=;GL;^x1Xpn+w9&yb1;i!=3S8r6tz^oE zs8_e)9x~^t75P-p+JP(Xm4orX@sEC@BKa;;1U;XsF_FCb|4qv6_Nn|WTIpwA%SL$T z4j35I4P|kDQYyJ;9c_tNtwohz)P~c*H&*${lXV>_y&I@94dVbLxLekB`mu~SO3ppJ zzM@E1$l;?0kfCJr+b|3>Cdx_(4xsjXp6$!SJl=;R{bFW|;0Ar5x{M3)Hi@$Z)J=sV z6M~<1SMB;e3Z4{;CXAh0Cl@_J*V4c}%F?}E<Tw5H-fzsbKdtqw;2HmNf?fxRPi5OIf zU;Y^A;;uFholx@~Oj(onP+t}Uw2(u|->H%&UX{wLmK#OTx9nuVQxp+%IJ}npnaKq& z$K=)@j_!#dMeo1Br>o9@(&tN4`(6SNNJN03_)q3Jg6j5G^K0X-QdDK34G&~rM$DnP zAViBxbmpM0Lmi!#9bdo=sYx>38Qn+@ai9VjRPs?+)YSP;nV0`Oq#!*t8P*swC=(Hr z?~IWV{1DkXD3Hfx^hu*}|Isce>O*Bq<4Tq9-_bRU#LM*9Ac~k|P=2qnEdB7nAS_nB;~`q+5UGep}>VA2-JWd`ak zL#;IdbM?`~6oGH*RiRTfgF)00X%;2pBJvm|&Pvn0LFv^@Iq!+|pZ^(5byKj$k6 z;vk;iOQkgeA?exO3b4SOEL1nn9WzcOgh?L}sG85xE0zv!0vD$k(qpcd)M=sF*=H&w z9?{EUPud?G#USpS?U@k7S(|o*$RfQQ)?9=e4TC9Lg1AK2~i%MH4HTF7drr*PFwz(|Dy*wAAm1)0UpgC8+a5I-vEh>Q)!QMRv zbm4^{&+a@e?F0SJ4ww7-4b;n+a#dM)YMO_#J_&-WGhd*^!y4k}nnhfyhllY=j&hL~po}>`k^KvmRh|EKWmLCKVx*08n39cuf%hW0=Ne&;#4{ppMq6jw9$_y@ z@H?0jvsnSSnkCh@jb`#cp3-4=&Bu%UHx6gnLE50vu4;V13uM9J3yee6o zkm3_IwVuUquNFQY^yOTob#E~yI*p(tpn?|Fgm~hkyQ7dF5~)@>cN95EqZmh9CxN1o z^@sVn&voC`_m768-gykc79I;ODv&0H=0I)#gY+N1HQZA+1ifCI3CDq`KZ=3(GPany zso&0O9O8f7h53%5)~yWiyGw0C1P0@=#KO-WLwjpPk2dCE(nd+np#sq6V8Q-SFOWGp z-h_8$U3CWIY8qQwuO;!COgLuSft_l+ixSzf%z zK3{d^p3`_7O)3$gP-1r@0!l%4GD(HRJ(Y~wT&@*ItQyMj|0L(I&M6nIP3|<+uxFx? zTA<`pGED+6Es7fI_nQY#Bs&HWUS&G}&E_l^f z{I$R@yLQGy1{6u-ZBtW6{T9%Q1V(w(;AjAgC<3v(i5XJ%siu*hKD^B=;NNG~2Zf|d zlW8jQ!xEg(1xMuyhDw4hn0hN%)Eh7v8f8>sC3~kH3!(3AP6zCI{M)zf# zyLA=_YznOQBUob!QV0*Ur}Mg!b4`S2%#?PhejLjcqm-|7wJV8|0dW99_QdLPFZD8-g#s3ntoS|0aCO?U-D6>NZTc+4Z+A!WO4v#|?+@Tl~9D%aZ zS2vV^0}}7tL6&EQ`QW7qjg6z4fAVhquxvy07jQ5Y>W%D0JH@53nM`G0!vhCPO&${v zJiOk7bjzX69Tn%S)qFdSK{$q4gWYF@LvPj;4yje`;u`JTLaWh7mix&ER=rf1Qm26c z`K(X27uBJy-AJr4*iqyuBT{?W6y+YyO)FjQFRd6@GvVwy(o|WF{b{GpHMB=2wkh=> zQ*KSX=#274mHcV1@&BkRceW>sd}Z%)*_HY)s9NC@E&3o!;x-};SuP*v3qaeqMR$MD zdwAPW;@zTJI{blf$#Hs5EjNP45ZK!h1|;DBL>KgnK%YzFJf53^UoDv+-HdQzd`&C+ z*QUge4XoKl50 z_CQ+l+cSKhW_*@oSwaY@2x>=21h2vCn61-59~}IzY@V-9VPN$<^(=jT1fI(3_fcEC zPe`+d^#%+9UgMP>$N=}EmOr3V-&b@R5jkLls+hhNXhhq6ki<>J%hWIjOwXJNa9#bz z2F{I^Akf=dSIlFXDbv<1>%~w4R>+5aHB<9#aIt!NPC(4m@idU4-J|QOQxTtCJ~(y+ zdWIZPpAN;>a^y7$CHiIus-HXbVvlh$PNwG~ss(WzOH0vb`ydFG@z4-P*+}gNm|ArU zf&Oa%&)fsh+mtd0?j@H;=S@n8r2oO)kKCdt&dR!u5iE9fDF5@QFx zx-4JIQku=>0La1M%4lXL+sfx8K+#pafMEA)>tdK$RqGyoJ?GW6xI3@`i-h>|r27nA z(GhT|$0IZIQT)OC16SCURXS;hbzt3p11kFFo3z8YS8Nsfswm!;WQIk^$jJmQMnUK^ zLGtG^=Xzg2Bem9;`)bA~HUd9hx9L5MRQ>S=_(UhiR{=;e1Be!kFXC3pB~pqng7?Aw zMy}fiD^UWvEwAMw0(1?G78R-@!>3x~1@itB(27sjJq0^s)h&kuAMu{viJ{C7Z!D+} z!|hHWh66`i$x=xKQ<}??IX~$Yp-*90w^)loqCf{F4qJf=1uuSeTCezq4ocOv)P8}t zP@+8Rkt3Lv-*%1phLCpnSS|b`yu{XOZySJxb5r2sxkUU;!&W$~S6&j-En4}GH+hpi z{@KBP5ig#px0+-<0zjhPGV`IPe;>m*gQ6h#6bw-9F{rf3s?I?(fVc?z?HoBct{GSY zg>sODiKbvCe!9NeadUC?>YaeRSL3p>lrH=V{1Xa3EG8gZ(;TkxFwK8XrA) z<%qPoQE5&32w8A$HdIH>3=16Q|9~1tX16W-{oo*V7@TMDWT$}g0)8y;MqQQpPus6) zQLx3U15NIq?HMhl&z4Kd00G0tXK{lIk-yWCJGaIL#M2M* zjVz{D*84$&Y5aKi(3@&`LTtSsQobyzj}Jd&=Fvzt&;R!s>dm$}VqBjln^I>}QZo5z zOgo>ajRuxW_hcVIVL()IBxySDA<&?&oM=A-fo{=k!<4Sn-p`N?_=LT487dy*%OQrO zkaBnq!KedpBS^@4hdV-!S$Y#GOuND&-I($MlP`ElgMPiqUT;cB3|-^xg1^q}?y>R< zhAeW%Bt+v-1Thw!z~ncbQ(vKV9b|D(#ofcCjMn4!$VagH zi6fqk&IZzL?PVhv#h%-x>a;9bhR)|YiR4!k6Ct^C0tfooa(wdw=urOuWb4{Ih?f8rOG^L=o<^WGS58C_gay`}$b5QSom>%C9T z7NmMd=3Ye%Z9+&wN1=1_?DU&@=?i%3*JIsS!e-w%Kz2=lpsL`oeWddaKXT96C3YH> zb|(P&-|;GN_=ZfQUFQ%(CxM-29hj6&T=wmRy*j)m){@}VX8-sP>wCPI0c|t1@pVVt zw|5{_BGSRyKq01ZceIE^cNxG2T~cTJsERo?<11RLb*vBl zE=!+Fa!Cw`g&WjvV2~QL>xQiO>1IKR>~ZxjQx5t)DOuoN%9~bQkojlX8S7UrMe7W@RtU>}ydnFSB&tqk58jF+ge? zHCCLo3o#;3eXGBLN-}WU*(7dQjl_^g?0tL0g<7?7#+7>4ZN`qc1zu`=LQFuH=p!;Q z0ri1&@t{<9?pmVnwM z!ca14iFG@b!OySe^XXvuElO~TmZ^nvd$DLHd-OWc43(yP%~9)yeCl3J+HQntFLo&B zB{a{NAXlv~?w?+*}S2SJ5H=ifTGjeMp-p;iu zdr99j@=+U(XjaUE*43as2rFLt+6Z)N^9h+PMXw#&MB~U8L#GRF=6^sO;bh(ydxif` zTbx6s*GCh5C~Ry!djSglWWYqv`3sjz3yTOP<=4_QNILRUW$49Qiol9&(x3?A@O0#e z^R#Yi_QZQD1_Pc2-oA3j;uhNYwtZDL&}^7Ew*XfOq{Rp7HfOQaQgEzdTxZ;R}KnEUQb&9!Q2%0~(0* zequQ=Sp>7{dxV5kw-(TC+%a@@re`)pppIB!TBFgQV!6&d?n!#w7Wc{9fgmS!9q8d2 z#ewkXX5Xpr@dsHK6)R@N`Olz1$Cf=?h6c8vu|T(f|D*kp%5_4NP!_gkV+wwf<^c8CosGcu4}!ZDD&PtbPRQ*8zfp;b$VuE90c|VeD(!NA#%y*`N#ByXj&dJ zP=@%~TdXkH$NxhhWJEAN{eCRurtM^-mYFoe0h)mOch7;hROA2jH`8|kEKa__Ixq73 z6C^1)QGE#UFG!E9bOY*5o(Ct~Oow*$YA;n1Ke~@to>|UO0;1Pb_!*%eF78Y|0Id35W0)4&Lc+IN17V-lQ{_e{-L&!n5B)I1R{Q3Yyrw%+J-Qr9u+LT zfhAssR**~q7pSSNE&H9lh}wi+ij63D-TlX5BHX%2g?EEM zYbppQmxHub@A-;1et7^027xG;P$v=vH#Dr460d+k-Fxj9>vda(BPFSwf*ABziUv&Q zxE$#%pM=I!nS6inGWp8h5`vZ)ypRk=NL9?6bfoCwq-AA#tLg6);@eyw7Afw81_O3? zJ}%w&sVixnJ9SY#9d=e8_+7>t-ThlM+JTU-hN_mG>a7Xd~m}9v3 z;sRI^{UNqlR4ziUV#t^h5o>QtmOIM6G6Qmmn7?l;l6WY3$2PL<7Rh8FWfQdLRY5eSAGg#Z~RJH+EjdhhPmbkt!LV=-aYZ ziVRh z;qj^-Jp*&1Gfbf|QJkiPH;ZehhhT$9gO&bQUJ-aLWzocpOzT~tPKpQ zKLqBmTa+k^$6`6owD|G#;bR*@4D4V`+T`r$v$w{Ae5)U3d5Q9K(qfT-e#tGwMI@1x zDR_FQ%=b|g6fs&j)wuCf3{tAg49)d`*UMvD&97p{!E1BM7m!89HSu3Tdu~ zi8fk=12v;Ht8U|j(!Jsv_g#xu27u5mtSV1h40ErmPrCYQr%yTp|Ch7Pepa(*#L49FTQbVHA9s zVY0dlvvf#? zMc0_2X7*=YZxW6NO*=00j6XOqJeBs>C{d!s0Z6_=2WpJ$d+n-8d^amJ{_3;!NNg_& zjdI$}ouU&EYbgHecCckd`Ry`wrgi(|`!hSWD8nrjR1)9YyOA{tpQ7I&mB1ihd~CU{_mBv8T0AWefY}qQ%MZQ&X;yNFUZ&~RvH0R zn~9KqFjY7)cNAb!t|uc#g+Hm8%{GL8dZRy-@pZ!+H7CYW;p_7SH?X!l(r=3()z9Xq zfa0j9`TV=3WRN^W7h6kVmFBrs1Hi{|0RoI3=W;;a?KQR@R?mcQWp(HA=)%@`e+WE~ z5l@%0G}^*Ss7ko-5uPu&T}7o^G}UYq`o6H$FKN=kMJSxjBWD_)bUf&XdPJ-NVAnb& zNuhY8A4$cW|5XXF5m&sC!R)7{_ANY<-B(*F!hp-XOCF$8!!cvRl!^YNZ(eqDn2{_R z%;I`Zq-}_%Tl$0b#Zb8+ryHuC5dkMalmCImVZwaZ^i#L9kLJyBPd(=1UvZ*I3w13vGA$cR7def4?H~afg_vB-=0>lM>R}S;>hB zk?2duD2~2&sAB{AVBgu0yPJ2DdD7LNajf#W2l8$(QSJz8vC$)M{aLdE6b0+OO;lk( zhZLz<1)`jIVkWGlz7-L#0QfPn1>-4HK5d8>GNW%3^3l6OEh_9=fboxU(Xb!iWrYI7 zw^WM?Ve)7_y3!m@(3vQbP&e`Gu-mnKzC;+F2G^4EBWsZ#NbwhobuCFp)o&Y+5EvH= z^zj{2WkXe;j&jkH)Y54(vkO0)n@4-;+~Q)MO+kE2S(I^?8&_a*T?GIWk_lUGg1q#N zD{t&&Yj=5K%7`=#{*yYPe#B$kX}yECAwGLfj?a6e5{3L+LJmG*yTs4ThpbgSYuDx4#t}m>5W*I*Dh>Kx>H2v=&@4!H#%BHA4~_W zd#q%cdN@<FqG@6b1FXOyD1d{H?^U5x_v-PNj~f`jcWQiUe0A4sB4&YDu?Oc$->jzEXF3CO88&WNx@d!gQV2JFi$AxF6TX;OjCSok z1(~}jwSzlTo8K%h@Uz^-079E5uKD+;Vb=|{G4HmZ0eHJD?+LN*4sb{|1>AD0s}?W+ z?7gs4c7BO{6Wjz6o^X8^!ygz70r|4|>P#WWMK!p7$_<*C9`oTYb_M94jz+NB$fK<> zYUs?I05!A3*%W>?|$TN&E(P!!+s;kg7NTMjsEYr$x^H4kXvaR0|tM@ruv<&|LL}g$5 zaZVsqWEz#$=t23PdSGP|@`w(i&QH$Gr@X=;&vi@7;S}l^CEtK{?fLQ(@m~~n(&`$P3nF-_hn>heB1GjCPxsUslq<4OX8UG1cGp!#~G~j5p?UY;E;QSJ_>AA)0rFl z$77>*9rt3>WA{l5sYR+3lvOM7R0lM74|W@ipb@A`OI=kkE@K^#WuNhf?L&Uu6Ur6v zXs*dB2)1Da(I-Z+&ib$E|7d@Ui3h$@&q5a?BAH@z-P03K!#-df&ns+I?4=2D*TEi& zeT>PT&V0y<0G}7qb0qO;7OQGz{MMI{Fl_GDO02lrd5a1L>4gs6izAzcAR6fK=Vphf z>t>C264^pxWx%o+>duVh>qi}IRy?hXESAcO0bE^Y~;Xuw+OqD z8McSl34P&ER&11F_LlSs6Nu@u)uQJn=ir^_Es!AbgPLE+YvgWBLE%uXo#M-$sqVQ# zU@R>L0sH|JZY&w+J^Id{HAP5o;%(oXg{CoRJ&YLSgWNRs)en$JgaX*13Md^46a@xF0xqgl?mkZjr@w-W8@rMGMM7Ksxp31TV^(; zQ&VDE4=t_~V@?S3T~n&DBi7lYl#4MkI+-5wcnRR?Jb%4{$}hi{L#&=UE5h1jT@c~| z5!8epJ3&SS$_sBw6kC^v4bh=@#Zb8#KfZVLTB5z`! zU{DrJAj*_;NDGbx9io7PQ4pr^V(gW})rL{0-m?1ytbQi0}NV7(gv37V2HXjedsQlOMh2Uec}_CVC+ z9(izs8w5rt7iMUdU=TLk1p4t$LDmXgsl-+{4oqTIsDfuX1CDOpF-76*HGgb?V#461 za$fuwiZBXi9qk1n%|K~K5ZW47UFrojeEj!u`^}hv;YjkNva7pD>?1oZo@(=dQQD47 zZf(JY5;b_lJG|D>_Z2!~;&jzOtJV~h_TtPB<(6nAiNNuH-1%i?GRPtKhVTh+)e+ED zkJX{ckQ-qevmIP_z>KQzd|9&aZHxMXTcMF&R@2ADo zSprit@i-D@Z_WKVe!FXY{PcPq-6ud3EWO*;x7;)%jvi~qYPLwB-f#`kPaEM2FZY2> zHahAr7%`#J)ED_-9;=CEmWG!I%r@NP;9zo5Wb-X>LT4gmF>+2b@)(zWQGMR~VV`>{ z{NrC^PD@FZRvNHO`5)#M>Zp}$Uw6V$Nd{CW`~Ymk->X8+w1&Z0N0t8KHc@ffQpEy zdbtA~ymwopN&aA`oF2%Ql7pkix+2U!6ABNl2aCNiySs0Rzm-GD5zeL8-0$naP)Qwt zavqQ$7W515l+X>0w-dsV$z8jEiOMHa;6UVE)Rl4^8gYQ%oiL&%^%|lXrxb^w((>|0 z_d{1psiruY0hs^W=#7s3zu>uZhgx>iLUIEE(Q8zdPEt~LOfQph$ZWWoGh{F!oDDNv zL(hRy5pg93hhO;GHGFGL2JWL1MkS@kaWv-VS-Q+|Tay|eO9MK%^hPL#C6|$73X^}- z;LT%>gynE2M4xaehKDX`g+k6LLTd(fr#y?B+z*9%3&ag&ShEXb=P@qhfha(vg(DzCN*_&Lo@j%TWV@Ha zK1V6yMTu69zyUzALi@jg`k4Okj!SA(0j4a*(qn~++e^v7Tr{bmMaLQ?GOZ!sskXzR|8!qXLHEtARS0!xXQ%=aU|-g+UCCj#HjWWPZSO47Tp$Zw zwU8v?sOJ}X1V#Apxd{H7hJdtCqcy~&f+O>RV)FGPA6r;SkvPWZRxQ&rT;X|hOzRt!51A(mM^`4^V~#Hkzq@cyL? z?Wo5roFv^^Qc8>?1imDdNfF~%-qz0w!*L8%!MJlDg7J7rm~u6(_mfsVX1@lgAH9`L z#B(xyhG*`hhf>Wea%}?rmfMuEd-^ceiGao%YXAIkNocG?Z)i+S9|ZXqOGEoQu~qzd zCaJI=gns7R9^h_q!?!;Nq^|!^jgNq0ox%L#S!HZJF zOo9^52Fua`IuSYH^dFc>p~vO^K}=5L0@OJsV>UpjI-aZ|2+F-_GhORxH(D>d5PV`Y zCVqIpLPn}{JBz2SfRuv8Pbn103W-oe)rsv05yn|9CObPz#PDx;5!MaxYhxVB{~Arw z5%`@k!I6y&OrWx$9bx>@!-aRV{GWJ@SPVBi5)U}Nb}N7to@5{XHToyG*{1aLz(;vk zA=!arr<^L!Ag7XE-7=!(9;TAO?9o;&xq4&jrG5^Q4Sy-aXKxk!HdjWfA$cg~gF@Qx znZ#Wg0o3T*5F@uBBD~;mzd;q-F-MK<+(MKnY2SaZL>?Nye_P`nDGS87E+xK(al-K) ztZ@pnmq~@3c!II&^u@jr@b-^C*=IronX07@?>3f?s>`hc2U5I^@eT1zid?KB++Wa& zr_jc{B8cf{b>_AKZ!Y7aZg#p3-4>^c?Y3$L#KEr;JWe`LWl$Yh)qUbzpHZ%5 zzPRfL0OJ?ioIU-aw?=zk-^7wl&Z_?QfHVrTLp-PDU(IClM&R`f&orba7weITCRZBJSC)8RibVY`wuZm+N8B|HR!Ic?0gKD=um zgqaC3TAfN;ZN8gR*W>FeJNudJuS`0!+-QrmFOgrm9=HM|GeJ@09fFtE-;NjBGUujz zpvhSIC&}MXGY92ZSmQZ|x4qj;UDtv1u#N)(k0>LazA~{q>%%}|*cQ0}zJm{kdZnb* z!&Opf`zdPk(W$GeE(7REsQ1BN#a1&0A3%?IB}W?if^m&J(L;&mp)s2k3&oPAp8%V} zyW9pCbe%jM8o!iXuv0mg4LfS`>o~}mE9s3%OOI9uyS1o5sE?Pqg~t;hfu755mL8bl zLPN25%acullO__kUAi!WbAh(gQ$#H_(rfXuK0LAo+GYlSQEG1^Vs*@C>Nw1Cj5jGp|PO6Nm_^Zp1Tjm0ELx zvYlZ82k3px$l^wrg|NpA@V1jj-o{lN-h|9ogYKk}H==8RF)F;&m=M-PP>s%%tK)#o zk{iK`Ae-pl3!BRXm5Ym?#K)+PA&N#doY84WF409%<}XC$*!${#9(_qQJIOje{jvA7 z3G8$GcJv#J5>{e9*wKa_omCVlSeB|xh_-D(BdD%6M+FF6@8Y-aTXl^idEyFG7?dgH;iQ3X%CNWS&TalQj{;~c+hfn=O_=uUU_7B z39B2yBVY6RyP9~I+-SdGN}BPDJOX)?BJ{@UsaQcvRWN<^*FJ_8dzt+6exg6?{%h?< z?E%t`U*|Gex&^~*e!6$Q=xPGEta<*gvL9BR>@eDw?U~oEzYG+8 z!T+W{7wj;SxFQFub)n6S*a@%JR#u zqNB-YD{HjCggZ23$a(1uA}vOy$zSlaUfKOu9BW?poAkha`RPSpH>J{rweoiVUBCX! zO#(XCX*9tPa&BYn#&(vm=*x=nW#Q>7K!Uul7Kt(#q6*gK%36ZK~1~NtsrM$ zuMje@l(1SmBTQ0$(~%M< zi6cqF^@_eX>Q6C~B?oCXpsmhhN9gZl*!iYM!XE_cVzev+VAW7w!hNPDzIZGcb30qW zFLWukB;O8+T3Utv5_I4M)KI%NWwdAPqF9%SR2+^iSMn9$tmo|8Oei5_xvmQ~1N`!7 zm2PwuTbqKbGynVofQRz9XxfT?%en|5^1(+x!Q8{DM5#EF-5J=eZ3aK0?g@AdC5sp$DL(8D}?gl}+)?Aq6L=P(`5nxk$3&9e$ zV47W|Gw`R{JXWR6t;HtrS|B7uKFNDocO@q>i6#K0*6nIAMksX1a?px3N1Ro}1BOtS-|nl(IS3)wj^IbLZJ|uidfXDBTspqx z`#hR4O^|cGkuiJlj%eA~H*j=dGasYzMCzM?T)O9H#U4*V6b-UxFpF=(qLFdQ1@bz9 z2#I~oqssuEwu*_3ZlDz45?ciVE0gi!-LCC7L^`oOcPv;lny&{0f91f{(TtXqii-_E z3%tO6W%Lz09XC49b+uVyNegXnBM$p#V~TpBb6xfgTrl%>lGF`4qUghn4;o^JC^ot< z94UOHT|DH`@k=s~O{gqCiYO%-8FLVroyfNxi!IHZfIa-n^M^7}UiWQ~Bk=_R#54nn z$3j!E@>azaC@S4c8d{Yd4H2d1`OovwJFJ$sE*RLPgHX6xC^Wz2&7Gl#P>lSl3@Kso zk46Z=kFfUHMPxmZUs}{$y=BZl8WVs@YPJ0NADc+K7moJ9D70--P8KaxbQ{|;l&EDA zg17eVRPPIkA?``AuokQJ)8wQ@O(p_PRy(TY-OR8Bt^%U%> zaQAkJ&41|Yc&C;{ff#ftiSJ0@r&aq(klSEpfwIi@wRlI`Crxkiz#1B~-R;0Vxa6;b z@XDxq``8N>)bKI{?+=4M!>En4i3@lWbt_X3QSYnAHQJQ%95$cc5MS)AZj~`0$ALO~ z*YlJH9@IYWjFIXe^#p1gvI*l$&t#~qSd6ddE62KVTGcWmYK zJuU#Gb?EW6Zmz)AKxE3@W1~4*Uy5LP&R?51@o8?_HheM);HwhbK-aGHNN0YKDINpZwSAg){_sQK&>r4xvPVS;Hvde43tDh}Kfwr07O#mD7Z29v{Wb;7X+@d=%`=r4K7#e zi0sC{(@Im0 z1%j_kH~xwKtl$ULtil!lvis1k=w(Di&V4tgo~n;a9FHZ>qT3QKNN&LWv~I^?xq_j@ z_hnhGgFB5)aydoW8W&N$olQz;wTetZyU|8F+ntNV1t-gr9fOMHX^bq66a97TNFyfj}3pU7i8Ub(0)ge}Z_@eRspkWAfpsATe zg7*=el)Ra20{?nEpl0WQ8r-H3aW8<+AnVN5SU|fNm$m}@Y#^951;TQYJlLAVc_$uS zlXJJ@GpQcT_BDmq#|B>dwNpx!4U{x#yT73}CL8GXB?Sd2-TV*twJGerxL@5hI*{lQ zF|+eT4;@euJ9>^8ed1l!3ayIYbU6_b$)5(mOnLQ&n@xCjJ#SY1YB7qnWo~|Q0 z0a&kTGmkGkQ}V@N@!4;Mq50Tr(Kf9ZP|_SR-K^`0T&7^4PLSQP|2Hc2EL;K2)<8Q6 ztQPREL+WL4B8{K(Bw~$Bi_{55juwjWg!{&aE?Wl&W0?GDw|>fG~@M%)MF*mG;rtU8nKA!XlauoD@gSA-+ohet$e`7~R( zIbA1T+5?U4kNm0=s-Nl^5`q+obpvvzq=OvS*w0^$=cVUNOqbr{Q5(fndNPmAulF;& z55%7efl}yfO$HIRg_CMEH9zlLROHOG-Z}GZPw7b?{3{`cC`gUABqilJZOr|WAP*t% zHmCh%E6S$o_ro-#+6OSdkc3tMHmz_{6x4H;xQs-#gY2OwNEdXQE1SV(quCVu5H)@M z19W}mh|g4H8sl4Z5ksN);a+;ZWJ;E*2}!x+C8$9*^x~h&^Ebe8Rt1X=i&JVRdfLmv z?NV+snC%&ZZ|5dqR)r9M0*xUPn(utV$lGEIUg$~9D`wYfW$F@GV@jCvkGq=SXpE!T z^sdyOw@x#7w<fj2(B(m*6g0 z9$tCR(&-ej+(@hwAH%J4)eZopJWsrx^#95QU*E=(^Vw4hKI5nS8KSaLR%&!O56Z$J zk;P{V>e_Q!PjQjN>A2g}TDEDFgmt~DGT(d4;<-6Iov8v_$(QT3BvW`Anr?YRKE5du zN8s2?Z+`7=RWa2EGw?KhuZTGlI+E;Jum;~6G$<(S@r9fHx?~Cs8le^<$l>Y|Dk0Jp zCG4n+*Fu&pbf%>zQmRKcqGX22h;H)!>@TlH15o*CF3zimf3RH_1#)@-ai*i!-%eBv zYexavWreLd1+uNCL20F!>7aPph$p|mkL(%V?a7Zd2Cx|gIwlJQr19-Yj9`3+q4vb* zvZLG;jNB-MlIF4PAZ9c(1=6M6+i>69l(`!tGbtl@$nEaa6Qm?K?KF?Mheih}6jcxwIkv1?(w^FmL){z)=oY-_rfwB`N0<)|El(XhLUh z)QRbbuU7^L5qlEM0lnGhu#DzGpL_HyUgvF(RD5DOMIlNu$2bai2-#*?5{Ln^obz;0 zFvQ|``?C`iEWsFmK1hW>nv+Cf53TfBH(9oEMEO2s^3AF3B+8~d8&45n zp=8Y69~gEn^7fM~Y~mw?_ZUfNTK8w@W9WTS>!&Hqoj?QR)0)1n_i))k#NReo1NdYv zNAFSKBPvIh| zlhg%aZ)J?Ps;U3Zv$xI%j^OG2*T^KY?0#n9yjqzhdCJ!*+pLB~v`@&LO>7`!!PG7du=s=YH~DYWn`7a+vHx(!KBd_MJ>7rbh>kdrPZo zfPO?^=}uSrC*k{L_W`Kj%(e4{la7-P`7?XF1;G;SWQLQ7j;3K*@&%!v$L%N_x5mnOL@!OcuOzef z6ts?h3u!$-Uzp)K{}h~)D%?RY4=X9);>uz+FblYG^VT~LB-`s&iddx0a~2be)jQaU z8p<6Xp~VtV?mw=8Je6L^uUPdY?05`CjCbHcdzM%PzDXE)WPPeWL^%c}0y!Nw8vDof z_=jXJ?_QqDbNMo7rhv>s^hZm&!$yCqgCL=$S_GzD8#C|;w0Xz!t!bX^oTgDeeV-x* zOg6=DY{U`%$*WsDq_Tq_WUR$XJ&E!mTfYPBnf~iFuiyZ?kK}3oG1CLFWP9cU#xhFE z?LgHu&udrNi~wnBK2UZQ=w$igGH=*RhGB}-m9)zPf%W%gxFsYBjxddw+Dq`}2s1!pvx)JwG~IDno) zonSq9-a$i$t+xtN>Bn%cQ{NEm;y-Ojgn{C7z1681j!}tg%)dKkK zd$IIjJ;XU9yW?i}Igg?HGAFu6>hUwshdwYi<0*7NmLye4%3hgA;cIqni~B_6s`O++ zN=Jm9l9JARG(fgFR)fm#ax^JXH)ow(*-ZZb8HK8#s}2;QcfXwikx$F5;@B;Yyn1nr zbOM&bqxvOANoMYU4iSl6r!-gI1* zV#@nzR!on(@4S64aH+`wKIFVc{4^*_dkMtHbtlx-4GzBHA_#o|u$@cXH3D=Ubq|XN zhP4hsi2?$ry-R^<+=_+l^h(A__VaZSFT2l|vCTrVBLv>XJu?3}+fB6#nuqFJ^E&7^ z++B=EyI-B-=q-#!aU0b{1JBj%!x!%bre98g_KS$`d>kY1{sI~mq_52WFY$Y&8xo4; z>%i?h^R21mpZyfWg3G%y1DOqJoS4bB0Lxq?0uq6_Ku`9sg9K+$*_g*4zg-X~4-BN# z-tedF10BQ`9F)3@mR42;vGw#u{ch;jUTW}S@>(ZiaWV7(xKZ?kTMTZ9HVRInIE_qa z8Mw2>tK$(?AtIYQZGs9q#IdR1%ZVqtS>$sBF!KQ(nhi6Dh1T^P15QRk=}7sIkKSn$ z1Bg5N-mB*rO^=nQ2gsv2E*9>Bp%TzZpD(lMsrkSpd1e&GC#`rdb~Sv_@!{&7s{R!W zG#K>E(&6FjLKPP0JulmbPk|kvv`ai9F9VLJD6a!ZDw}{v>1YP%IGN+qtAdiclnZ^j zm>faxyQ>vDzN!eP$^^r{f$cPahBX)~en^$gXf}e~GL*lCZxBv(Qt<7NouX*slvNbc?N>JGDW1?fdre1&xz0kY(PXQ#5YkT7RVPT3M!c`2rR-t^ds8Ysua|>piBK(ooAAZC3 z<9W*E)6F`qiTfc|%+E%6tQ~!uW?q6oVRFX+PDNnr(EY5mgu(|>mC@3;?$u;|jy2fd zX@DDSU^Ti?lS0v;c5g*AOYK~_z?~z{uZG4Iyydwqd&$f*Od1_HiDBqiw1+=e2PT)m z|Fdh}nN0>#_PZuhM;_25)njBWyMF{(I})jL%rZoY*mZ_N%LR#j&Q(N%I0u=tLQX7+ zl~CIaC1sa_?e+*Ri}8y~tV9(`^qopZPH*RzEZOVAmS>9{e@lVVWrDMBE(Qht7)MOr z7X_=JR%umvBCxW{c#%)%66CP>MELsNKQcc1q9$eCi~?5BmoQ#okvNH+vv0Sv*V?7Q z4E*X}`aZS=zQU~fEX2W=c7M?|(Cx<#B8NJ7(Td9t7gL*?Op>Rh0v@gh%Du)XhZiBs zRItv?xHb}2`pHgygF6;5+C?<}INQY9f5V>|fgG(oxM6h@0pz0tfvETcW>2OJ*R;9s z0;^_@BS~rVC|*&2&23Bfll-6hc*55DgACblLPq#I8bqM{H^r2weFFv~*5fkIUz6{TQ1fG+19KcXZ0FTn1*s)^0nWo$2TrXD?f0)A>cv z`R>;q*y?F-(>Ot7)|VNf*0>^-HpOcW`*WIR+&lNuU4amaB(nG)L-9!H3M-$Yb*}VbtR) zJIx<7qlHVp8&f-zoGTP%)PSyWypS9Z!I959!=oIKzNU6lJiC1eWXxb#J3l(Yf`B5qg}jd0<^KD-D9nWejom~qV>&!4SEc_x64D&#zA zoZNwC!W<9o_2r!k{^AiYaa`0K$(BSNBqkq}|Mk(8L+QrE&x1v8z{jkgNV@M>sr1!O z1>N?kDi2>{{}C^L#J02%XGv7Dq`Z1}@d%t-K={=ow_!)Gt z|Dkoaq<8nKs=`C4pahIFvjH004^qem59$)^I-aCwjh^(zDQW8SZ>1XXjqx^1)Cz`S zoTYBY+A-3bl5RWaWQ%7c1Z*^5YpY-ym@mKGM!0 z)>@R&bAveD`Kxq?MfPDg1MFpWjLH63MKpW6S-?+|m*!s;fhs*}_)X)pm(rnD(_In0 zBu#QqB4iw7R+C4lELSpj%H8MtNe}BJcqQPBkzl^< zYsOeKC4jV})AJNwz_qtS8D=7n1#6%3%q+q9e?)h$S2s%&xFKDpNSNXxRPD5;s z^A!Au@TlBKfKO~1Po+=G;0j@yHTEYZx_>Tbrd6a+oDP6WPsoMZ~D zd(*4tM>2mU{J{sn0puMYIq5NXK74JAA0bQop>Nq{@mV&Mu%ggR!irchMO()gwKtx?sSmf;lpnlS@5FL#$T}gC9Mo#vxZ=i6Fc$vz%%FT=hB7? zaxw_HzHnB@VwIsUKkOYPLCcM3#x%73kGAG&Smoz6aWwp_KIy7<(fO+-?Mwodl(Pw> zE7QW|=Zl z41}vZDP_HEW*ESTU@}#J)JUs|$UnOG-h=v@APDnh=#$<=rTeSw(L3mv#kLmsFtx%(3meiD_i2xX`2D8h;sm_>B z)ErC)5;|)pSh6|D?#x)zTPY4Qu*-uQ5s%%D7B$EcueSNTO{eOU~bOh*JNd&nrPi@gRupQHKccY)Kj%1NXP&{;1^0( zwkF+bLCO)PC=Ri~qwv()ZQqUnkRo(!3{IIr!R<7*6NEzp5VHx$@viM2S!aUY|F&C) zAKO(>2+J?QB0&Ylhaj|dnl2Kcg-)JVU7?Y+n!i@HJ^XBo@g@%gFs=myn^S0nykAT- z2yhBha9&WIo8S+kq3;G1`+APboi1=PvT~K`?E%QfGzK~;{w^ia@bB$rw-fWTPYs(n zN;{)(58PaXN&agi87Q;3wMTZf>qnU8AJ0L#w&-tbLn*N8R+)y`u{HVgIi|DT!|U@P zRnp&C4-k`O9G?tyc@r2h6&ETK#m;MD10VKMao7kHhNLNKb}48s+_}x zRpM~H%~u%+fg&7=;_WT}M@(gGkpCfC?(FF4;p@rOK$ zTyun?=v#7=x~IO@UCXxYh*E~zHtYV28o0AX{NLbT&E0rb&cG>jmLhIKC0_u%)26y_ z=OWB%H?8b{kE_s$c!3}VTpjv*Yb*)5p9j7aHMNQAlDg1k}2v%|Y8)%URNyY&1r7ORyOKz2ZJa z#$zqf8v-8Sosb2;-T`d|A{?4yUsTle^m83jImW;Z-)}+bCpPT;Zm|Dr_4bs)qys8J z-NjYAdi3UBwrG=Fm#)2QhA*n)XFp!7=|v_K%UAP%u3d(n6o;L zPs(i^hdjzNzgVBPwUDLn7L#{?(rT2;8;k=~UzuaAg{d#(Kqou`cZk{DQcdCJE{^p4 z{`F{$kH-q_)Z^@>V16NGbVQG{?Z43I2-zi+*-IB)9*PGP7)nLxCQTw4BlObgVB2;g z)q_a|8NL>5dK#=IYkGAs;CjQ%nz>sv0rVOud46-w*=O8gdbgzXEl2CcMNNZbid=Ma zDk7LYbK(_b-zi^P-SNkI%L1?COSH!6^|eBZ2lzYUL^@N_ieGgGgMGPe-q6o2@4s}i z$-q3tq#X;lr3LhtkKuWoLzAZsc!DGuLuVyOWSeK76dJus7HJaI_QPwxsTiR0M0V*~ zAPQ&Ul2?0d&K3S7RJ;!GlVPENx2c4#sP`DskgfYT8{c~_4cjRcSS0?>>EoUjv3lj6 zqzSa>HE@IHgF70ip z<$n3-j;;CYih<>R9yNuArXcsv+AMm4U;yuuxQIrUEePgne~h_-cb>KcYm=`tP9pfE zx55_yXHJH9AX!)Kd6_%&zB_~OKx||fjN|{FnnU9LuGm{h?z#8&({+>4?STQ9GPU}Z zzf)c|PuF*h6ybt&L?zA@h!0E631O=^Rzn9FK0J#;h1Fw`%xEH<^{vznpHY9BWtZ9^ zAgkHrq3|E%RJVPMDD_oE8p$Bl5VIUjVC!#hX;v?0AXAMqv?V*>0uekTOt_WjH= z+Sm~_q8adEo%VciZZNjNRA0L!o8-3F4&iT@7YG^OoQI|Q6Ce@Q(q}aLU9-jA*D!e! zEb=A!1vNId8C5jzLz-C1LC0lo4q$})Ea;MtfsX0~WvF#=;@eX{f~aH-fHPm6$L5^;!zGZFCzxnOir6nOr+>>2T=Zu9`x$NcaF zH5{Y}?z5vohFvJS8~G& zBbVrCPI)fztzi(WF0iiYwk_4cECPU>eWTJVlx!?yOUN1UaqcPHv{FeOYnehH!0=Nm z7?apS0$759Sg!Vi*>%vlHWeEJ2w`P4;IppdNp<;?mZ5N9RD3Q7u2zIBZbtL!r-BU> z+Zy#>ytp6RB~HK{e87PQbz;0HTPm8gb;(r@oX8&a7SL!Q3)_HXroi3E9CZX>2d)G` zn{33boA#TO#!9Jp=_io#{BI9%9-+s%IA(Lw#R#`hpukK`z-4|gT}@ncQ%C|*LP%K4{lfO%)3BJ3i6>;p>1 zmnMC#8i!8I;PavwJPO=R6DS6r&4J<16S1(-o;>D$Z+q7^Qm@fLS}ZmD*lSLx6<0Vv zubBR3ro07cV)?-JJVvNv%g7WFP6kAwBRt{cy7h3wiPTi{MftF=zaQ9%A!#rV5V6c~ z;N~0qLQkUeGI^=1x0#w9baQSvn})-mpH!_DJN2?Tygw?p?FWSY$&8NU?+q!S9GIt~ z0;*;qr=%t_%Lc*zG0qG+Uw)B+y!Uyxhop}k%^~-Tu*dQk_7ODaE8`Q$NOMn6W0Mw znxj9BtwY2^U40fKLr}wsyJ-kcK%aP9n2#(2v0^*uMFXntSx1(V8jz+#ZQggDLJb3uJ}x_cyLj1S3`?c)Z?0c{f;Bh zo`q`d3;2@wQW)a1NhQtp80rHCHg^2*Gs=_->plq^h?hP*s3WV0jC6EJEN-=<;CY-8&W1*C{Gv^TN?`UNGqqJy^;Xt3G2jPv&t6B{a zXjbW)IuF5DS6|kc1MXtMg-KrP?Hi3bp2~5Q4L-9OaaO3A;Ltr@c(fBL?8g2t_~IrL zU0cgzU`f>;l>DG<76GAC^Z9avEpWYqE!bkyU(QZ>x(OCH)eQNh32jAa<2GVG69o?NrmM>cs4=S{WVYM!BCB>&8d zQC~J(m@D^-U3obxicD&Y&(fFO0SVIU&cKW*x=x4AEKW)gY9;eMVI6V%;T?%eIGIhL z5W=D{`Of{sSA?X>C#Cr+U2NNl4L3-*4{z8jzhg8KK7IaKjIdY4oNYQkD-t+dC%i^B zD9;f&c6?UuB#-{a8KaxR%{9L6mL9PQm4Jd*8R9zAG|b*F%v8+Asyd&5&GMOrf(nDS z3G<1hvy%-Q3``Pi_ymmel1vdQV`^aE_zyo9LV8y%Wdm{4%SH7%3AryV(c~n_+{^Ta zi%Iaom8fA!@ON1Xge4|?L`BD?QejVLbjJ$ou%pwi`X0Y?jCDF8Uor8mo2D~JVV?{zm%Ol(FiuwPxQa^*${AjxE?ki4*%#D|FqFN$_VPUj3^z%|YfnW8by2@nC+R#o zUp$IvlyqZ6o8Gl8P6XTXdMrD(;RN~6YOPviysrvKP>2eg;?5}Lu1pzira z`0kzHMHX|(r>dQOO1qD9fD{{SJXZx0@6f%yW#SzQLk_{6P30c`-&Vo3?a&z9F?Zj+ z3&ZC^u*>3$Q`$}G97)WQCR}}kNEm-$GG-!+G6K0+@`k(V>LljgcV`7<+$$z+quyZ#wU=Q z!GN*Z7V@)x8GpDC9}i8%0TKMXFY9>~z8s)Rw|#5D$6e&9r`>~;^fQDyR!kX~>xzgv ze8k$=L%tc<^QyA0_pN7sdwU2v(DZG90TCsAs3SL;0c5#V!j7CC^m-bqV8c%w@_*jrTA2b}I6r$XIRMzpg$Qr(i>>U{3M5{*aC*5UEr<0Kxv z0F>~J-F`SiLCLy*&JrGc z%Co|@6?cn}SgTe6T{ABofI9`jTMm~++8qN!5IYdMmpf$|+7DzTpTABKz-yvX#}>O> z#OwyicXeh~IzZF6D>M!^rYEje)Y+ov6`A=OnM+G~EDOa1#{!XC_b)@Rt(iAy*VZgx zL}Y>c{49MArM5BD*;Tdls(HT+ z==dz?sty3MXC-w1r2I_=beIn(5c%Cft0EXD7B(oABI&lH|!RR5hHvAms#hhz{ythWbLkj@+@`cQc} zH($K%a(dSJo$7p`R}W2PHbYV;VOcMLa40FDTzGd4{Mr$iON|$G9(=NuC=cSyjWFD} zB_reN(k}GK+`p`x8w*ej_Of;xn*BvL1>Q13H!O+lG2pl{NOQy9?CF?s;nNXl6D};$E?^l7_U*2Z~LMj~u!c3&e^}&wmoJt(4qn z`@NyOHY&$lhM{-`VRUjo*WeA#WMK>Y$9#1m@B~zvBcnbAVB{aEkV@2HwF!yE1N4-m zM0+DyCV6WR1Dp83t&wnO>z#J#_5UcXdi#8sNXtynCcl47Q>^{_V~NV|@UVQ>Ctgvr zKLyZ>ubGs;B+5x(yk;x&q85XO)o%2r(VQK!Fly%I48x6S!Nxbo0+EmxrTH`ueo`t=eC zetYd2jy|ki=&DF-IU%_0pA>@L{0nDeHy9doMSkqco9tkE@LWS=O+=_fXpWqB^t?Vm zVk+;vp{m`+_!M)3@ZTR?Xb{Q6-qfGv-rrasN$2?rd)FNV9@-Ui(ld-n9a%B#bdxA8 zBk89<)G91;&Fj7=>KE_TrTak{8YS)&E6S!Wbt;y3@S6O zt}XJFpA7CZe(bTkE7;awmWB>z?h@!-iURIPNgu>u0qFE=Ri6?K?1S8DvABa#o&OfAm#)pY*vYRELBR!6Usx8a%FnIFl55|!cN9*Wfjof!7sEh z0Nk)sY)CCR8emSVGG#7`GqoZ;1Fm1?I!L8}$$fPi@^k%!uc+NmE^?}E#fy&#>UNp1 z&n80TEGiEh8#}IaZF0lN(9|03HcGw|L-Uk6_iMZFBaO^Y8DvIuceyQx&$Ef>u=R-5 zouU(XZ}muI73!4+nZF{Qvr_SSc(3;G*qq{J>Z2Q9q167ot5qs{71R zCy!<7yN{fmqLu9qCJG#n+*5exG(1ZtpLP&qePA?t0T+%LFon_d9~^m(nq(SvlhurX zS;4L(J*9{Hm6YdR?vp{e11La6O4=`k$J0e1j_-!p*QmLR!z4(O^O;#^!hmUdCA`#>pj{>WG zg;dWUkTkE6!`}Nv25mYu@^}CDE<1}7c`~Y!4+HM7k4AV~N5U3_B}PR2^;F^&Zei-` zVqqnfe-{CeYGyWcX1>lP>A1hd{2S}Dctlu_fBl^_Y1uNbOYg;(3hzxDJn%TK0SdeF zA)k}#Nk0duDoUMkM)hJ|TR&B_Da4>bE67<6aQ>%In2BI*l?s;BPr2z81KV)9o|9N6 zIocR3NefUH_A#s5r)0JYRx%a0E8h}>8bhT~d>mglVlyF-UYl3nSiSo^9^rs|^p5@7 zv-w*7J1=A`38n{`=>3<^2OwmCtV2bl=h##%yVdoH=*hxcBvdVWa#)P1o8kOBX9wnJ zx~VyV`x1Bi`096FPat!>YjbUZtX;R4P7GS7=8SUpWj$_eDH00A~qLl*OcfWAq zHrr-ne*PP(_=lh;0Qt7Al9eiSKBaKoeOxh;FVQyyYDv_S%KoS%CQd5HV#RsfL58h5 zgcew-Mdz^#+Z_@a4PMI}TgDVJccN8N@LBvvWii$qj>DH}40#vHuVkHNg>ISy8ur!5>-ww;~l4o&?L0NF-sqJSXraXfEtxHu2a z1A-eXFjo!E*3oBP$ns)-h~RtjXdsiU?utyW9;FGE>{tWfpD2~d1`mzCH74_+KHCa& zMVd9t>aw_^@JzWZC5-ws`R)1Gkcsb5a{*cQ=fHzflL$yQO=z?^8HnzU^i>Pvh~V?g zXvbf1I`+NzZ`Me4Rdgdp+!6l>BL2YJ*QfY3NFWw|e`h3%&EFUv*WwxK=FazJ3w8+9 zTaY2})o7I;WWLx~LLQoeTF2e~bsVeNJmTQ)kQEC7oR5%E)`>K2=NK{g>%aVs>Ssd!Xt8k)u&*Ov@a<(=FMf@%ZJJ7r)^-&!^}3@bFQy0^2Pcu9%1wx1MAC z-VGB#>0U8p6-zwp%N?3~3{f{@*LgmoG(*rsuwv_zCW`+OF2{E^2M#6^!QqC$KBZiQ z*IxdMMPC!(iGqq4%d_Rrtc6x^4|FegcXT1A;j{*Vt1o&{aq;Oy9qr=6#P%mGC_Wz6 zG0izq#&zuOaXYl3&}}SPI*LagrzJnm5a>h)dhe)@IR@kBPu*t>co@x?yY6>^7keadz9^^%B2o6@-^Id#* z)3Ha#U+1Ul6euk3o@ta`K1u<701fN+&aP%%qxZ*Sf>mg~vJPvz)|Qh|fN$}DqBa_xu~Rw+&pO?3PO~8a!Sk@v#}_ zfMF$->|N)hT}vL^3|6|-=V%IgH|SZ&-CVTO1As0H8y>@^#9ZDA`WNf;5?WsAEp9UwrV9*N{lI>&?1*;1&0m zd*xVyrD&&aNw%)78Z#c&m^a6Zd=s0DirRD1JnH7seUZ2nz_Ukj(U&Jh06egzIiGnKGG%PCEE1Bym9#`ETfzE4VZtc_;miM8 ziU5vkS-*VTxzR6Y-EV9h#ET)%E)pkXPyU|HCrrKG!7rY+6eO`iE?` z-fOCVG%-6kcIIN9CGvlHbl`in+sj6N3wU0Q%_#mm(y(QpV)MYO2hJR~ zDPjz$l8h|-%V!3ZBXvK^;h8+D5nCkZy7aqSX#GevQQLWAIuF^ECqHaPYrzD8F&?7X zN%?MnX}L)53gw9Cw}xZ8D5oUFHI4uiYbFU(csC4fClN#*A2{xwcv z-#wNdyr%;V~#rm3K&ofaRfVaczr(k z_Sr^MeBbRgHxi%K?CG(vWZkCwP)&Y;H3#a z3;FIoHei@!#2?^YJO^@IFia=M^;gaWV~mjCygI#~&Q)Cq281ErOMIK2k#Qv2H`Fos z?t|~Vh-)hvcC^sJ3t#@zi-Y)H-IlBo&MArDIyq06?{Fu^sIL_?lD^aT07Nk;H=NTisbzwC7dxMh ztW^L(Gxz!5S|SuzocBXPa(-Ov%&_&scK;~; z`?v-qI-iwcl$x%MI&|yOwD(ncBXTKO*>z(g)+Qn4$)gS{8)`sS1BwBkq49{T^VfZp zkLN$$W@IpAR)?eC9sAWca7kXAYU*_X9gT8T7$0btfxt`qBpdEKK#GKT3+$x+b3w_o z9*mUbOzddj$rCZd&^p_modG4Da+L`(5nCIiGb^4_CKzi(*qyML)Tw2Htd%TUG8=xB zc2E>SUgHlfbYr}aV3_}>JHDJO#!6TauHmr)*km+w>E%sD4EqtvRYt|ve%13|iXYcx zJHj#@D6s7WVL9jX4bikaXh-=`? zQg3^4Lj0uWe{t|wrT@*#db>k9hT{Gp;8}k(p$hC*mVL%f|?fddb^h^k2akWd-@Z9-0t zhcdMUjwiM>JcX)JYU`ZaM|DfKDVN}P$@Snl)a!DdQ_T!B=}R*)k$todnvnjxZDCk| zxdreM1x))Xb7UrT$0?B~YDGzfU!W~UHD{}ZZk>wTTCaH?w8}z9vh!}xlwLz1Xexi4 zT>OIaYIzX|#KRm?C-UyPU*nY0Cq(NHgJ8CMz?B>${I z`*RRBd=nyAj;}NErO-Z6#|fBDsdKBt=po>_^Ue)L!gZ;lJ! z_ou=)rE^U8adSxvLxaKfuKOEfV~@hc1Jh}oP<{Y0C0_DSRa^}3Si2lnPYPhz+OH(< zAQYw*j*xhId{o|151iY{m5!HA-h~!SyM|9kqCFm_Nvj&BapV_@(`mu+X{2g>$)Ae; z;LpE8@lHJ;3l6$G|YZ*CR3|^w@!r&B%w5FCpq3qC z#~pE>;e%uPj8l}<_wNKGXYSqpbvbK!XkBZ_2fy5Wyj%2~1vSJW?dS_Mx*;tgE87HV zX|a1`EtZIkAODc8%#%w1nl=>f!VrIe?yMl$^~TGu)bi!I&CUJ!h7}wy=4~Ipy}xWz z&!`UC22-}AVCR496d_pDvV+*mjE=rXpuQ9-?dYuU0oIfy1VUmv=3>qMnE)aXe)>gd zg$la7MG+mJQHyJM!}uPi&Upr36oN4rbT)utev#l`Cc|4g3%3c@@-gz4mHI9y=0 zUZU-Oj9LqNDJ!7gP{Xej;RchnkT}*Yr%R+XZA?Ql`$=_sKxi6A7^b-u(R`YIG!kfJ zdn;|uF5B(?XZgMY9spmnxwC?bL$2@Q$B*~OY{NL8)fN8enGvjls9gAa0ju7UebqP4 zxDb9Y-K0;_`u)kgnZthi<4$s3P`vSYz-nqcy2V0n>uR<)-TA&xrP58ouZEHIpwci! zAnK^Ph`%eGr_=f#8Td-$ALYO1OAImsU#=~~#=nCRV0Jz4B|vlR)Hz5{_H$`Ho)F5R zo=nnCook1ClB>bjm=TEg(gh%wvDyB54wD_%9 zYNRm0!5ZpB690@k5crBuSNc`{2!^_pFvr`X$AqIW9Wn8$SMEh5$lc>GVH z8A$#Z3waz*>xi-_j$F20N8E%i5Z2{;V)B)$V16{6Qgf>*eJEYd48wfQ|iYX_2 z<6_S7Cl3`ybjE-(k4&7%yWGQv1lDSB6?$r>V(D*6JDGT`AC=rc#X+{0aYcMI1U6&o zfHA;I91W<&#QhTxI+1Me+J&VGKi7L%8eP%y!s~44f;$K@lH5ldNshz8$2}&b<+Szl z)xQsefl@O^ZG42ti;+b1ig!3o9Ld<4`%JvTrT|{Wg{GB=1~JbhvW}Ou>|!<-rN9~t zxl<2#nuiDh0l9C3DA)Gov|M6E9Q*8 zsp7&f`omYDf@O>mzP%}RJ%mIyba*C|cqVv^X@he!d*+5x4b&VQTzbdy;$-!Ko0SS6aM$Ry;Q1>&y) zzBL4GPU{$ump^E_7|KW+%8*}LV|gb8ZswMg37*KZKAf3^rV#3J(Smw45vyF`)$rHr z<))ImZdvZdHqq{Ax^DPYLE-v%RE$Pf&A3xH?tF=I|6IqC8&^(`C9Yc$w6ki{mv+BN zTcEEk>#E67NIEGBqY4k_hEbzc7xJXP=6Lf54`mDP;rWU;8dve((`C|&y&;z%Je()= z&S^fixz%##p8Fi+#<%*YW@()3m-=mo=OgsaL6_s@j{Okz-+G_}GpS-B#0f1X((oFs zBILbGwmy!Xxz%BT+dpx3x#hPJR_wn-0($}O!0qlFS~#z=*V(Iptr;9ec&~H46T&J( z4;}Bf3j1Ea9klf>#whDt<${~kF4xW(HGK&Lzk@$EZlAf?A+q0K;2TAFpg*gnasyv4(hl4nKic&J#Vg#1LH%N*8epLKK)G=URR!=EsVaNz0r(TyW^r)*eAFy-9PQjF9L|-f$59xd+!J+ zfi)jo&Adrdn<}QWyD4{qX9T#qGV#ag`o|NymQbFius`AOL8QkkFpYhR`DjuwOIJBJiHrUhV0?tEB>5W z3I7C-@u5WMGTj=5RMwW7G2x(;yKjZ{BtzaB4(nAz(G77@r>>Za?zu*}xzp+V;c{JH z)^UT})y`=*Ny_R?G%4m_GOCrO?ozMjXwvc}BCMKz$^Io;P zZwl1fFTX`Lw7_gACXHTiC1g!z$xfYQ*!t?<9MK#M_T$MF*E9p5^T>>Ca4WsREcnBS z2W+&S0E2~M3MGrSM|R_PdWKi@l;@alpp;=RPbePgl@XHI^+iH)M;Za6b|S#005?F$ zzkSc3EkIsNm5cgngP_UfaO12j*$prJbaO(^iiz42IK8|P%G4RCBky;h;jb>^*D!6) z7Qf3O#z#q+kid4BSfj^=4(+cnanUG?8XVes}JbjyiB#pvlyNhepiYclX(6S&o%-VJ7NJqdX zI6j(*){zZsUmy_0w3EvHz&j7YE__kG-O& zb`-FQ*pd#;k8_ejZ%@PiG)d$RHq*AbQU)f!N||f4m>lB-jq(M{7XhuqcGXv7=BWgv zzu9U$xC(6W^ox_CuKKq}5F-0DaJ@1t-BdH7o8OWOIpQ+K8Gve6L-rM`^}f$|lq3he zyfvV<@T!KBjWpta^ZA$m?r~Y>_npA_J+muTE~QSekt;I-Mnfh(5hWCUlu zmUJglc649D4zgF{;_^04a>f;b;7=2TT)bNF#7@ku$k!REnjrIYY8PAXxwz%rS@PH;Uo`Jr z!&^=>dsj{GNYzSvLdp%G6U0tY6Gn*~M~$l!Zty&78^AZEtqPSXkD2FAdip}5xg!H_ zOYL;xT#6Uzp73NvE50_RhJIJHSVG2Tb2)A>#Q1?Q1PF6eQC&u+xygPQqZmr0w|g`6 z@c2gfp=CmyTLOlSA_ZuYu zY`m@1OZUeFY$a=!bg!?A{ zlyW;WKfwC9bgJQQyYD#Cr#>I?!0;DV(mtPWV70(;SWMX1u(x9>$xvIOme@A{IR+8p<%=$&ZR*1Zm0~hGE;JMvH`B$tC7>53TZ>e_WAVtqK$G*G`{dmtWjZbDimUcHO)a!&<+kqqfp0QM2Uyj z_uVU^F6BA>2|{*|KsKQ4r{EPbMZ3B~8Sx?1v=Ucf7dep&(y(SsWvza`_4zpc6$I&@ z%-+iF!5n>`?Y0AgAZs%3H#hyqh;|XMY6s0ZH$0WMY{&G0Kv`o~JP%V!Nh1Zv>D#nT$k5CdJ$?>wr+|+b=m+f3p zDNh^Y@y(c>5-kkS12k`)U6cp{RM<~1+|-4?KU+>NLF-P9XeswdeY?WbtkHf+x<+<{ zt0V7N;RBgtti=7s5}6WMlj&r-cj%i(Aplvz$H6xJ zp=_2cHD618W?bU^PrI@=)#)*7M8#e^o;oMDYiK+8ajWGaOYzYXQ!Q&C)Q#W0t8S$K zjB6Ww{X_VMlPIHzkYVKG^r>scSgRD_vV1XaLW%RqDs0sleN~Zc>YD&j!Sdht%T|Hn z1KboWRL9e4_Ljz7c*#LGtVA;{Qmn|I$V4T@+CNsy|L=HgO!$LYcq~E+QF6Pl*CYYb zy)~hlV%E5kU+`ckU=1?BS=k;fy(!f)ya1SZ{tbLboqWK-tfDQ3Bixoqj3b?ao_F@( zBc+W`WgQD|XCqnk!A8kwG5G}CQIrzI$limSki`ZQpp{r{ck-882kKOWn`ohF8bM*( zjH9ju_e^#XRJ1i*a2Fa8YbV17*6#mRjRe5D>H`UL)$CmO3``LAN5gWq@Nc@9f*Myy z#60d`*8<#I#oe4VFg@&vRL*w_@XJxzF~=BUlg;*!o;~<;->!`~s0qZO@DQ9-Jc1vK zbKa`3A72r!Mc)UOrq<8a7~_{bZZtzT~?LXuztlF{bd1i zh>#+P(iRy03SEurdY*KJbO%T~wt`KOW_k-xgD@a!i21I3zHtH>%PxcHl0NVtbKrsW z;w*4kU%X>`hJvzYYb#1l&G(~Eqqm_!m2gAP;kmIcKX*LJ`S4(Tl=aH|y0FhduoLkf zF!yy|;fLndMXm2>np)%r1 zfoi(D*J)$P8jP(~K5|MneSUr=_tuv4kESf2;!1kILk|k7F_RQK)?TGpJ_3C5m#;|i zDc>!HkViyFKa+EbT+e`Y2mj{hd92p;DRt$1l_wivT|A|Qs06=UhsMsl_*w!50(FuV zZtCloZ`XX#znGrm#H7wCh>;cRHHktWQr{>*b-wuH^Vm5^rjibpBu35^2*Yz(Qg3i? z+mLGQc8NBLvKUv>e6{Xss|)q;Vbz`Imfs%T*aK!h_jA$pW&$idBj`cFrpsD<#X z5Vk#r+fK)_M;#d?yZeYwj!QM6;>RHVt`IQ^?hAQb5c!HXtU_e`bDvk#zXbV{UU>36 z*-5}ILsNc%e|W1qY8EUKL$n-Llt<&^R*4R+4(qzc@G+Sru5nY`& z*m3J*Kkr(n-Mw1OqfdHrU}jjJ26UsiO{i1ufQMue4G@R$2xEeUL(B(^r4OamD~ zz@hOQrS(RLCRLOXN<1h1QR%D1&Isi{usowyD12(pW%bsjgZQ+uu$*~1WQdYrSEg{40!;_%~Bm-~ZalYYcT0c$9HuJ?RN zUTw0HMK>R7)-Z3xd=Wxeop+5TXVhm~etUFx;18e;4b3e+v4KMYyr)sRwWtq%Gi!R0 zp;4n_V(}V~Z%i_$^N+3tGl2)2$>?3G(6*qBkgVazI4(|RB;*W6=rflJDa*$T&{FFu zgK>}D;;uH-uf?77Nn{*X?#kcm3>+Xzx`NgVz*%mX7bc|AB9HV%9pBjG_bx%6^|E6s zxhwTPewAnmj(T?Ph#mD*!n;Wf$;w&TszFGG{6`-8057xove~zIV|+0;?|3@kW)S&%p z1BdC^gc%T>_4>b#vWZFQMsrEZWGLwC1?@Foy~53!il|>8;dOJUlbmXbgj}hs(sif* z?f(F?!AC&;1NS!V@xh~?Jax!$U)oR~@J?@m3+?WvibAb{b;c}XDkOzorAN54^Y(Yj zE^+{I#NtGAwU^nV`!C>pAsZk#QRd8cVP3UQ+1J-rrHEruQIQf6ewNHMWtfrNooB!Q zy|ifB0;5$#GD+$RJEap5AU0u>Z}i%-!l2SZ<`okImG?vWTeadW`>O{b8=j%SK2OGlA*|&zQ*&nijGiTVK^Oj&%hf`w z3q%=xSqG*Otv5X3yW-4*fJqZjDGr(O?H^Z5*u}UknzbI305^FR`-4P}RqT$g7+xVu%c8sX}H^Ic-v1RJ&q!D{$98M)neGa z@~k>A+6XrJpT8?&ZRC!x?HBOs`o240YU{4+ZwmFQ>~e_!25-h*17hk}X=qAcW|bA_ zQ)9!5piyav(!@ahx)L=GfhQfDj$c!sU3cTvXW>=Tu{;1(TKDVHdyu9r{|^*xZ$F0$ z5mn|sv>k>%n&rK6gVu_*XiG%z2y*1L?zFm)q;N^x06qezC;x=Fy)mbOf}U|F`-ORz zv6$sty?vC_+^rNZr$Q4DBnOQ9X;%F(#D0u+sJnr!^G2*t3*=K++P7%Ylb9 z6Nn={*zhGO- zC-Wm*ajWzbeCB!<4LD3pGVMgp@rIp{zPrjTL=xw#S;B#;6A>kJS=bh0@?7X6c`851 z5Onj-aDPb0K~4u&yK`d!O3nm;$AHqW;Wmr1z=o+}VaZn__aR2(`^POTHomT)+>d-n zd6B`j00yLd?Jj1qyT^h4D?e81mzy1EpEYiXjD)NA3BYMlnZ6m6O~8Ci-wu%V@KxWO z2xc1EZfWGdI)S2YgU>)OAxx9-t)9^8`huLK3uM{C52nu0{L$^O`K(!-VuBalq6^>$ zQyZkeZcVsGfNV~zvD*R7$znL1vnK_CXyS40Ynq68!F7V(#nFl75u)(AZaoIkNeEr> zB1lL=oQUZ9{?578otHd0%CNwZ(n~;TC?`3#JQa&)5up;-ajamWb}C-rycJnF{>zCZT&7I21v0ivH} z^n8&l*Oojok2*8poow#~D)8|m$5iz>z~}({xOn5KWYhQAXs$vlpx7oL#$-m6QPs3) zEgW+7o8(8Ys+9K$Z=_hA=ZmxU$N0yJPbxG;{=JrQ|DlM(kr(UmiqJeJ7gLL77WU;x z=eUQAFf0h(W1u2DN!s%yZGW*S!A8SskN_M-OM>DHkXVsN2z4qKY;?s>5R7^<8;U|Cr>Y(3vvH_%UPKZOXsN_mm}GR}@kqUer%x09vfVPm)Z< zc&&TxP_+ETV%-F8ynCYevi1L7GTJ-X=4UPW!G7kb1G~s~v(^M`g(X`Mj89@)D8H*S zOM!K+>lsEH2pyWWsUUYPptL9`qa$(D!}?Hb|l*8f(G(Xx;*C- zmxV4E_2(KPu$PiNC=pZkFGjh|+7$@=Wa)@2vehKJxpaFU<(1G$WsNUB*`T7BEJ!@_ z05JYe_nGUitEx3johhlcD>kj_KTwUNq1^ST1>4f0d>*XI zO3zY8oDotJhO;$N(X3(U{@`i|gO(1`TE7W}K0kWG2blw!b;6j5P+YkbP1462kc zp>qMfl1C7b!JyqzH!n_DaTm)l6J-(JPEOz!^^B|wtMzmPwI_K4_X4mG?YlKQoilBi z#Vm^kRc$FD{G2EdAtdnl7R|!nMUp@Ps(QZfd6i8uDR+pi0ZI~B6FKf?_kf`~Su?(P zDr2C5h+ihh|143`ME0#>E?xi&h?ukj@!<$NFzh#}$CV;Qt%JkdmfHxCt;n;H(1*g~tjv0(yZbU5Sakh&>AFvN$LVU}cRq4pX=ChYk) zXc-o=mlmNONyv@kBCo>w0(XraO&Vx!`Dra25ED)6JnfN7dZQvtb-ICb#SgS87{>BO zy=iR8>T)VU-LDyj%D&hNU@swYT;tu}DW#EO3Ih?1y8kY@YZ4p7s9HVUab z%;pa$cPYLr;g%vG%@;YeY5rByFu4@PPXHu%baR!d%X)jL42r(CAv;mgON2{MbTfAm zpi(-va2m4ddY*7AQckjuqE6D5DF@PcUo=4b45w4SU@D#$$l1#loK7bShVTf#49Hbh z6S=XPnlzd|XJNn!R1daz>M-;q`=!gb|3#Q%!}FxvB7fFyA5sT^D1!?Ry`3s&|17+Bj*b!N1)#YY5+CKwloG%nv+=jGXZTy$=^>o#a3Akt!^@aYXUGAm{ZlTcD)npy;LN0o zvUmy@k&_r$ekK?wKuY9K-ZBRi6OoD>^)~T7e7QbP&zC$_@oyeY=JFkDE7=6RbU-+g zCP$^VvVMF{u{RzU!Pu0&b8z!5QZi<+_6dBdD^dNBEU8uh0{mw{7y_ugti#m{sCV8* zLCn={+RIX<7_juaze5I({OeFdQZCK39f&6tv5Uu-C)!Q-?63P#YJ9?eDXc$do4Y0g zl<1R6Rc!k;1HJHFZc0QJ%yB*kK$TlJ1YnT3#P@(ELnt#-l-S{pu_|L9IcP26>Vk>y zMmw_T0HTjdrCglE74Ob5CgvQfnwyYM#%xl0nDix0h56Oe{B+YqC&%A9by;3}v zNtZCWy1)$EdwlBRy#@6sd1pmliB`6 zL+^5f&>9|9QGc;7PV-)|a+APZqE|Yyy57Tn6p#A2fYT#fTRW*FV6AMKAn^%G5U%+j z9Wgx9eZ0Z^#NynPnlhmP|MjBJGrJL@|ImsGQ>^*u0PWaAM(1Nu{VE5I&zXaBOw15>on#|z{<|J~%xsgJ zOGlU~GV%q0KA?jUaHBtn`>n;kDM6db4=N9yer9x|$-cBD2Pw_YftUSaR6>=LhLjpE zT&>GIN!O+SrJ-v7>4^hFc;O*w<`1D(|Cz6MQcp)Fm5oE$_U8*f(_XOJ=9M{84i=q1 zTta1E#tn0*BSKF5R)$XEsP56Q@9P_2FKnux^;<*#M?e32fBXAW37bo7in>rl?W5LT zuc1`E-Dg*=(MOs(P`3(yfAks`d2?^4PyMT!TC&m1)l}d`N4_vRZ;3f6_v<}_38&xWUxMoac5J9}4B4 z5Ac0{U}PDO+RR>usx{2-BB1dk$#uOKq$s++i+4+Q!`Ejcv3?x}au{T?7`*x_^L!C@ zJ<(iif|x_?F-2$Av%G2<2@;kf8qHyty>^B-@C3*QDX=MERDnmXUIc@l?Zw6behNB~ z8O;Spxtowik-rlUvVZy<#>q4f1sYDH=}KJB->EKPJu>SFH9~_-uFX3mpRE43rUHd} zu;s&_h1rUJEgv8HlxZNz$P&Nd--zW-vKO}C+r$!(lTPtyu{ zRsNPofN^w8ax<-ashYVO1V2Z7JGNF|2RPE-yVQH~SE&Uj7rBM`SsMiEWzxcZ=vG4I z!l+ozkU|itp^HqQ`X)i?(+lv1o2AV+uA8t9GKn3iUI_sflb&wlarGKVgI_j#n$(w@ zCCY2jOK0~wUT>4L&4Om09|4W@=AO(F-*8}+$Gki|LwnnG^G#%uHt2zsPNX~DS@~dZ zC!bsAwhzq=9w_*p0I?&@h6D*?QN={AZu2*O#J#~O7<>(j>vc+$0!O60P-%;`tKAn7 zPgK=LJVgIL-A{S6)es@=XdN7TG$Jh!>Uu;9RuQ59)%je0AVX-pz)69fpO}&Fn&gX2 z(GE>$+}u#m#W+`>Ma3#1;wR+$$Z2~?z`CIG0yz+a!!cDtJ4y@Qo3D9?34VhR1pqow zf!jnNf?kcZkOjId;17fC73`;%-0SZ=3S)SEfe$mmUO8C-s#iX|rQE(g$@m<=AUm(u zZQXv-u$Klw0gT=cG1Uv9Ja6M`Y05xrS~`xOiDf*Dq7S#2=T{U64C-g_I=BeaFO zMeD7G)rk80QRx`|l>5_@$ObWo7YyDXlbgzmgA+UK0YK)lxBr9AC301p4p*QZb{86zz#X@R|Pf-Yi!7A&_IUXSKOz64E&pp=O<(YPI|lc|Mw|P8it}u z7&=R@V{diC5i{cg(?s?I;w##&wop~pBJ1vS7~SfU^P4fJQx|%kM>nSpRtWjskED_0 zm;mqRpXlPW#9bV`tsk>CdP#;?7a;Qhb+vRhHqH%ud38c)7An0+&Lnd?hM zwovHqa0(uAni_usjmi1M$AdJlFze3u3A=6_(Y>^6Z1dUNb%g$X5`wJ<0|!65V^is1Op+~jCRq?^`Q4WD*$7G^@^>tS z2T62129e#-mxbH!Fz3bcnWpqDvo-5AWKyM!%GIDZ)@(w%QsKmzvjg4Z%ygg*Kagyzd8?3kZT1u9B^A*4sNvb(r`x*{w@=n0$^a21V&AHK zkoQWa*(B}%3yJL@x0ksAui)!Xas}w?%lP8k4z96j*eQ6ytOKB<+E7)=+0;D&R*B;f z5S^Mrt6m?CErnMMpZEW-bWk4*H6)@GHuGn@D801=YD?`r2 znGLL-bSHLkiRPz4&o>Fl4Sq{ebc*6Z-m*CW;Rj3n<>|E>rdJZw4)L9EEIya^n7u4e zP^z;U;PCWJ?+hN?GIbqJ37N~4y?96e>BcNL%f>TRx8VVMzaf0w7S(uEe3oIIR_+g? z-<&sqN$nv2G4R;{<@U8B%_sC>K|%(_e*lg)=dF$z*<oKGTNbk|H!yA=xVzITA+a)a_s6O=S03(Mbp@YD^U^I_oQ{B z%?6f4^C~?UA`q>Up(hT=S}6_-{{w|b=8@DtL}~V0B_P)GylZ9s`v{I!SEd(z74_F|e~e|?>6r1{FQt~02KVtV4>xWxHgy)T&`I$Oj+P8d^62eS*(y!P0Rn3FvR+t-Vg#N9Xdy#P zvj*~PqIz@ExdIRF*@XUD^YRc-2pisalOQ8nRVng?jMKc;*Xj3LR!9{(MUcZK%+Qy7 z$Z#;O4*MW>V_=vlY&iTAqZo7Ku9)E}O(TAQ?X4tNh7g0Ut6=0Gc!zDHdraJ;;~>XT z4=nE{u>bCT$OM5)&4LHPDBkzC9P%sTt;iq1rhz8>tSRQG-kmPAitd27KHA-3Vow%D zT1()iZ8U-a08ljgUlB^=QIUDIISaV?@QPDq@_1XM=bXOu!E$$bh#27@G89v$Kfd}N zeYj<4ex~c(WRql!7LC5wIH;>N?RcLlGQs=UwYgmIZFVg!UPJ2uDXbLKCFTlH7TU1_ zw2K=Ur16W0*dGsXI8v}aR5pZ%)KEEk6^yW{`Gadfu(ZM~O7;(@DVCvsPEm>Nx`SWU zzTaCw2WF`J?z-}R6IkH3wu^6;qk5R^vqpvD?FrGhO!lXsq(KlALz2Fli+Nv)01%K- zvc&@;_cEhPkJ#CTH5Fj->g#PD+h%52t-~%Fc&Qj|qdfW|2!wZ%|3tW`n;x8F-|v1F zj;!0osXJo??zdfR4Bloo)GXYKAc|7X*1`_k(IIjJ7q4r!;5FW}g|`J$?IEtSIe_A5 zv#0PH;SvqC^>XTD)&X()3maTVpz$zCLBcA;S`p z-n1v5#eLbVC_o=83`S+`nPDZ&HRy^~4bRk7x5NfLkXIqvA`cYvy4k@%ryj42;N@bBNi)kGbC_?t4NI&#}9RK{q zPr+-_(*z~D?+?%gO4GFjU|n!-t>>XyNsuv&`kn?2Jl^Cheg${Nr9243`@f`}E73ER z7b{k8u0^+y(*ZxU{y75T9P%cu7dJX7Ifn<0RXU42r7qO#O*HruVkK~+Rl+X$!gr&5 zOm$Xa-s9;MuJcP`QXSugSFVHf^|=5(;Q9&#izp^SS+^w?@feiMgL{52A@F*@e$ZwU z;+84#RMU66@bFdTTDiBr8-+NN+YbWMGb5?ic)=pE$73GKCE7;B+;YKxjF1hePWM#B((B6Zf(DVe#bN zAO+LF0Cq^}a>K0qodggu5kRqSz>@77;ba9`a z^XueuP+jE7i_5AjXZ5XoZ^}C_3=_w%M@zu3xx+o#=65`k+fCvn>IA%wRy-D^qyR2d zi2mGR%`2$ph4jwB627t!Eokmo_~pbcM9Fa_3~$$ztOdYlYFf4ZMTxePpfd>iS0XNE ziZWAl_jCGQ^7_VGr@QxFfLqh%N(2rk!2l-)GeplUUaziqCp$4Bd`>4IMIoZ<+l{z( za=Lv?j9cO^-{%l{lv&#f31l>ZmLoi_f^ZZ(qQUnVXLnuZ;rZtWt?N_Wg+cAKc zTaFVJmDq(n<0`aQ!l+Xcs2aysfsF%~EbX3-jR!pCg11A)c(v$oHIiiyeaktAp&Hr$p4$!3RrUdWT=m&)xG#N&)!l}Efx`xX%(8}+Q?1; zGC8sqYbf}Ahf1d93K_}EFSjCAc?=2));G3uoQOTT5<0U&ejp!+JFU1*Bk%_cImX=(Un`}4JhWxF4+9dozW18BM2A!wPDZE~4tVt5b{<3frubhY zii9+CeIIJI8+V2&dr5I$%FHI|;*V^@&?A8yfJPsK?nGzfk~*Y0vfCv^)*dfOZ~FG& z!fAV5SlqK${7-2BL}A#As8qHkj=#mLuu3C}PLu3LvJA!x<2NhFY)ks@Apv z6_Iq_N4aUN$NVf+Hl;>4!p9-&Rkb&fA5E?wC|~B+rBNn6Vsd8v`Bs~ZwD>x$?WGA7 zo&1|w-CA7+oxO4tKUS4rL6D(5!rb?(FHY2>sCTv{iS`e9!D3K7&AiE3x)DD`z57mMGYxms4{Lq$o7eqW%L}#IandF`85h zQ9e`Nh8!Y9wnS&PH2b>EZWt7%l)sfqBF-8uYJr;p=rK8w!u>9eWY-r?Z=U9-*jDra2bC*`8 zynUvY;jKTkiCjf&I-fgivQm{E|NJcn$Q$6?U4@68!r2y4y~Nh=Svbn(%Mf94%6GM@ zKKhbI>>{JQ4WRGFv6U0>mb+i7xDn*8COeceSFC4zV;`HtZxZZ5?uhH&dFir-bFV0a5L-Vwi2IcZG0V}vzHn80tSP_d1oWLSZ>KaO&qd&8;UR=qWt7kj9+D~Hj7O&RF6-1FMl)kR z@3&Gnk02v*k{}poMfezZx0I$6>=TV~Ql?^pRMcrwSn)15GZfg(GmPMo5@0{TZb8Th z#%1`F30>bbo4Mx_-+f6%CzaJ1KVz^PTx;8JO;2=rVGaf^Pz)|lhMTBNbQIE!vXO*? zo{!L(1$~H_E@RS4XKPdp1l?E8=2XK`s=1gR1{3Pg7`Cqb=VI1VSMRBYP=sJ0`a>-$ zagcdT<%?CfCS(Pt|3mKRC-L2{8wbOku{=@b(5yyu4tbc~4y=1-rrq1*fDlRPAcDK+ z+wG}qv}|t;EB)E9v7=M_G@lqls0GH^u1( z<;(xJIt@rjE6_(I?C=jopx4*jW;Hpk&jKjUpbq`5Q}INpgPS*^IocuHCfD6SFEAj2hN6^m zE?HGFPZ;=_lz?s0y;ikLb1Ks@MAWN#*#MY|w`^c>7`7_!k=WkuxVf0rv)|& zkk`e&LB=fy^LTn0IBYJ+Hhg7g2Ec0Qeg$yZnEc{oyn&yK;KVY{%&hf&aft-`zU^B3 zmyoJi{PfdUqaR;q^3zbDn0RRNKJfVh;n>Rplhb{0j6U+JDDu<`N^whm>V5eHBo8NCT-4=TCq?%!{QOK0+EcTYkW@^cSY9*okv(i2h;(4HHWElI^J~!icMBdYLG#VdjSQGenH~i9>VWlx=nsPMBt2xBe7(bFAO>YZU@#z zvzEBP(v+h#`Ol0HSD||%0NPCy_2&E(boC1v*ddX0Q!p{dML6B{a`I-wK%kCbUtnU7&Q9~)?rUWQ8)LrB2l*~tXkZhBS4dXy zdX5Hc&jZOUm9mTgl4J#P#t_@9jvYf4gqu}Ochq+fM4#O|Ym1@vSaVe3h_B@bC;C74 zj^kfgeYj4V^%x(zOT_0Jnb5%<6w=iuf2JMCDC1XMmN;+|4z4#+TVlkm0QX>`K1&dK z4d8R_`*F(h6C=ErcPI)5&K$-l8_bFLIE{#%rkz88p8gq&t8%rYhr@@(GQG$9`zF*R zci>G5uHQKjXh0?jr5ne$Y|ktV|C8X+G$KuTt9`&X*+h($A!SiUmJtT51f#Kc^JZ%x z+M z(x1t+)@m?%kYD$}!6*<@=wLLJN>rbjACK9bV+$&U@5Oxr%#<8Q5^{&nDp0-&HdS>m zmwg1Gr>{&UW(6O`P(U}ab>OACXC0!v(kRh2W{I7xf8zYpNU#!alupL|`)pwJmK!`@ zLp{}~+j|Qe$zBF z2?M=AB}KvZ=la<7u${tv>%5-=mt1P+o~@P{{tYhQ^is z5(2OFX?3ne`Dis~ry7X?O-oNS_QjN+wLk9k=3KhNg`c3S?Z9G=ar~!ytlLk8fcZdn z7(nTHMF#eF=@fosK9D1yLBkPDbMc3)1-B5~RM=cj^p?gA+!iEUldW~;0<^$UO0tWe zy-iEE@g-;Q%4%6Zjgr3GK1EgV-vyg0b1Z9-79>^uu0SY$DVjogBiGAtkh~!$L}Gok zHL%5ZYV3a5dh!WDrn}K$2ck1IS-0w`#*nJupuvbdPw+tlOy+(xdp}o=8dUCp4aFG+ z0JFgFdy&bXB8IKJH&$uxE4)+%$6*+i4 zNpNi3x%6KW*HO}~3=XOj=lQKU@Xo!u)Uk=5qz6E?dxnDNrVu94-*i**CcruO67SlR z$m!oUVBUPM%ychIkUy6xH|rHs#0U#m)fs&a4zE%-`>z4m-~;EWqYn>eW$RJ1j*pee{nM+Mr>xfv8J}BqO00H(F9d8W9cK4Dn19*U83kKqU3x;F|Zr zHGyiBUT#|T>ksMd>ughom{6jBZD~(Fa`tPg)?Vl+2>7u5lhy?5fv5(xHM0p^t2F|T z_xj3-i|z-f2p41FTjkwiB=I#($DL8H0wB7qGsPA<(lOy&iWJTp_~E*EtyGYZWeqg@ z#j`F|<<#1GFGIcHbSOSaP^d5Ax}orC%sV(E36t#2b261eU!uIN{Z^iYyf4d*k?bE~W>6+qt4vAAoT+D*3QOgeP43> z)AMjC;}(2s=R*+2vt!0c@E=d7+oO80V>9Xb

^&tTmmfO*h?G6|}sXKdo8oup?-T z^s-}Wymw#g8kCSx;pWOFXe&zAJZ~Of7SXGNc`4aN9V!2kLcEk?1zmuBJNuOgQ%p*m zFvzwNE`!SS-XSt;%0vp5rD@@D2KftVkYuLlZ+~-~Kx`3;J>3+bJ}~hR#R7`A zS)zuR%jzQ7&vgfrl-oaO4UefWZ50JYxTjC^zxP5|c=MLQVV^zU_b;eC^z$H4YTB;D z)Kq!{e_4d84v~BU51aStlw`Acb~OOV(bA<)qW6QO(B>q(*C`&8m|F1$qvI?%X=ngE zHri%1=~NyBtob_1hb%%)?YAduJ~6}{t$v;Sl`4o%O#p#|F&qWI-4PX?L|QP(<%uVm z5Jq=I&yaW@VpE$jWmJCrw*eLNvx|Yko~n=4(N9a&94hQf{VKz#+C2ZKibW!}OO8ZC zEuG|!vD1q)+k=veLXWojTU^Gd>CM%iC2+iN1A|l;K*7sqS}v@0yIJnz{i+(9tjOjP z!1Dw z<)NP9)d(R1t?(kC_rUH0w6d=e>=mbk5n<42u1(Ub+hIT$tUgDm?JqO%-o9J}nBU@i z@pHL1BxkRO$dIjH#TX?qDsRhit;_3P*vfZagM)CJy>6rMIjX&&gL$yM3-Rz%l~a~Rq#Tv z5y)L%RU;&vPu3O866B%)mtp?rXtfCm-dj<0uRqaplrzN zZvAIUy=F_PNAE2z*=8AOQBMG$j=B4-7?~1GHfMsAf--a6EaTP;!|cK;{!a8*YfZ3W z#94ui44Qe_;JUQAPq}V=_&#Tm)O09I{Smt`J$70jqvsaj{U!DDLl{nHA5fS zfZ1Hs7uF623?wueX(iSWsHOvuPrg2dD3*;Kh8z_j_56(UrPEgx6ztPWyUyQ~<~Mof z7B$U!t^E%a8RZCZT-!{@qp=Bc~BJ`g?><>XN6sBC{@qkVhhh2r}>%j)7Xy% z;QSn2TwL}Y=Yq<41d*q;qrN<>?NWi`PUUGHooI#tz=bWbgPrD*$(7m6$^E8Y3|5kK zVcbEtiX8YKjUnwH)Z_{Q&)M_GO*+wi~`qaddVHVAg73C4=PAT+P%ca`Ntezn&Lg zkxNaTJJ>aZZ|V*T2IgA&WMmP+zu}smvIxnTq`A?~o=$f)YU~i#rNwJtxzgAwHPes| zZ}wGiPYw#we>>*|Boj7@JAo}o8z*qaqSfT&3n89b8)W1*74%Rj7I(loZdQzGO=%8< zYfx_QrGhwvEuKe=*jee}P~w|Ie%1LakUGg5czB;@ix<@axP)lxhq6?(J2l#`O-UN zIR}^u@u;JtISij_QKZT0CHNG*YjeNJK@*rroa0ZBnP)XRAy;;w*u|8GUxg*t*dY~= zjXw7l>p!SEfd{uwi*$~-;qc}}W0ex4dPkw)X1XrdEE{G);>Ib+r?X~Vf?a?)SJSxu zF3qPiR1P9)W<@ELIV%m1DdEn;lCfzFIc59YIRM963k5=D_wFvwPXTAz*BpBXUfIDHN|m*R85(W!*!){l-sF0Zh?Zc0xkYv|H+P}Ti^<; zMDzCaP{qp;B=t7*v?UL-V9LHL9Ez4N{!%C8YaXNUonW(SAIh4mO6BXS0Q=VpqUF4v*g&X=))V?3CGs)*6 z^cQ;hT8$o8>z!uVZxzWrQwI?g73Kq%yO4SeJ5I=Az>alm{*VFQ)(w<}|1x(t0O9fw zq%f1Q(-WSUVV8#{w@cjRyu(V2q08+cSvTA9gTX5K!gAI7E>Uzc)+?6bR_AW^cr%`k`#{}fJvSvL*!EU z{1vf5FYnxxehstc-%;KmM|8#l%IqYyB?q~b<))X(s@8b8Xm2)uGC@KKBd2y>)#P-8E|+Hnz(dAh?51t^in z8JoIyb2^F%9|S?x76ADjeKC2P5Hf!1`FGZSs|l5S#8es33v>rA9W6`%Kjg7*O>O;j zNyETyl2JQ~0#8#aSCa9e5YZY^(*tFNHwl?G4AL{yRcRbT-^7~vF+$M>02Xer5l~t` zC>0K3+BFH%fZdjFjCAxvUpJkIfBeS`ZPer{Y`CxO>!mLes>L+FXzVEkNZdPUPo>$~ zJxK5Ui9vjj-c7KnzDhbJVv^AmV>$pT6i zb5NdjtviKKURkfmiN|Mv+YU_G!5soOoLuZwPAkA|dE+p_Ks>+r6CReGq0{N?y!jV%o&F2ClAf-nT_ z5fs0tlCRZ3J;E6Pyjr-0*cKyHF_27cQaZkJV26BjfIOvA#jU_o=}+LL?Vk|x?{kgZ z&}oA*M2D-eM>f+&Q=Lf#ggBB;EXg;`@vxaWrqm_cICb7*ao}S4o6-py{bfO!QGhsV z;;-%yo6SD1M++3zMd+&nO&#n`#;C{4-gaq_m#S(Lv2yO==XHhkWh#z$UOgMge@$Mn z;c5|xcm8N_Ldzl+1C(P+KxwqR^i+>r;MB8AN%s^fL}a0~pms%LCH5j(T^((+6@P|n zFEPdI$RAXgE@ueX$nk&GEVR+}NrAA_q_Dd1qQ7WJ1UUYP6863@rJFD3|*xq&xn0q+Qli{Fvj zL)``H`lxVSk`*|kK}@tkIP?5;(6D`l4F}e+)XQxY=zB>+0 zBusPH#q?neT4_717I>67(dJSHBo-W1;GWm#wxu}2)c%Pbp_1rMGH+{}0-GK|_JhID z_1PV3C~lVQuhbLI{AxttEu_x|mWI#&sYPEH4AMiALFB9Oi0n<((Kw*Y*d~-y>R#42 zj83?A7y56;B#0;SB6szHlG;U$Y7sajpH~B)T*0_ImV;d#!OSfp5ucwET=AWkWOstF5(#`wq77 zOmO)WcuES@(q?FRG!|g9o86M!%Gru2bSbcC+y7N+YDjYR2PUS1T;F#WSC@ zk2DlD8MCP}eeH&t(sJaC<%L=S)}%=?;5rwU+{7hI}1!r3G$k*wh(c{qN$xTC0j?hjEnQ84`UyxqKj8>vSbk zvYyh!ZRL`vo)PDUo2;f9zenZMCi&?EV?_=RAHYR`A(`rcu}~&3!&2qBP(rf0M**wH zKmAw;;;0FdW^36BzoN;3MgEkJ!Qpoi#asYuNc=nUVF`5J0uh&uToaSq`__#2#@$8( zd-x3{t#bknq8j6rx?ypv#??J<3mUq2@f00L&{_F#=5q@isL?BYOp>^L^}TY2S(QC# z;!5s|RQHULd7O4(n9|+N_46XCCd5-Lpg{JwsA6g>^&NvAYw1j`@QN(sNmQ23ydT{&{0o&Us|e?O-g&2(Z$B>T56TD$9f=W8O7J!CV_xAt(1!>yz_e zIcLY`x?#6ztlK$~+w*t5+($~H$aKt+08M8+9Dsh0J~xpZMcE|OWu#ab*<9U{E#O}@ zJI?Qbz$8^aeDQJcq=q)8Q|_H*?KXX;@8qNMtLUCOc2c@4iO#j7QhE&k0-N(>9F_@2 zV?#b)e+P#<6|v+Rhpp%87$RT;Uq=9&czV4btd-vkzqNu)3@V@c|8g9X$?jkgV{xsNCuQUjzCXP z82>EkXl`>mAh~94Ah9N1zH5Z0ogtbO8vY>8u3m6O+6x3f?QYjEzp+E&k$(Z86H~(Y zP64>2arHQT_>w2Iz9o`_YgI@W{P1WNllz>|TtStjDu>nDC+%kAp7-6>8W!U3?u8Pw z;oF)w{e@5qPR16yuV{5z7QiOQ#k!m+Ohz4TQ)*ANT!U1_4~sYmmgIdr3TvgydBvKL ze#bV*8N&aO;UiU}o>~+*lN6*vKG-IafEff*iM45`+xA2g*I4LalX+9hmXb>XutjS{ z)BT~y_s}EY)e#&+H!4cU_Prkc#xq`R*%Y1|&oqmH!$TtLU9Qe?1aMHTagIF!JhVIv zSzCFtd05kt@A1phVAR<%S*Zk{Xq9#YXLPp52N)J7alr<2uhovKz~g+ZAIU-xRikLe(ce-8M-228a7&S4hcnWZEUlG#W2I}zmTzjfE@s&$ly*< z4z=k;*#5$I?Hrar+ws47+&3e!MRtjZt6z!qZxNFkX91q(_*x!H+d+X@DU)Y<%pP7K z&E<0pRHK}waj*pja0kbWf)B%HHa7~eX{*D1UN8y@n_2CR$&yu++Tv#%rP}tB8rxz; z({+sd*ggbw{1DG80&$JoMREZxzmLaVTJb1)k;M-A0liv}>sSC$vBnjSI>P%8YI-vA zN1Jd`-sT#~2#VM9cFDfPw5R|S#}riMyPCtuB;(e;oeHCUk7ckCF~foUw6g0xPjte& zdXwQ^J~+(vA2>Wt;E!ICgIOBA>41hai1kFv#L5TU=G ztbeSd4*YdRHvdWedKGO1OA0{FlkrfIUelds%Sp0b<@!XWM@Bgk5??yvXvQjxlj)qF8kB_Gxn4j5DzY5 z`Jv$^L6%WP71XEb3?xQWhN_!)McZBeHZgm#!Qk^|5~L?_{cpaUtEKSryiFa#(#pti zi!i`s*)Gb9jj68U$YY|>n&$Nsx5sCW(aQ)UQx=pLFd$1$z%ZB1Ag3xE(^{%UL1Xt( z%L#pz^Q){)rB$;e5wGBc{~j+>bc`|2&zjDY8vPdo^NMC3eQc?Do7)W=ERHYp<$eT+ zb~!VWxhVsszx4lpv*&K9iyvKkl`YF9KED2qXNQygEp8YVoLet_zdA->OX0X53zAjj z7nVBbPbYnd9bCmt3$wCU#_wKAu)sW->b<8oOYKZo?cyoHc$qF45lLvCW@b`7>WK7< z{9jXE#~~%uugp!6Fd03>Ta*jH2|O_o{-3m0M0-6Tc)_7TAHQ>yj-|P`LO8bX4QP&b zM*YFcQgEgZv9?2g#K@jzzYfNeroH~kcEm3d9|7`%lQ(&-dQ|YAntJ1-A$F_lT8ssw z=B*F|Tb%%rl`+H%`dk4Y&6Cwc6_7QQzO0^TP1(?iL60v5CBEUNjM?;58`Yi`kER)t!IKM(5-u`vM1=s^IDi0)= zmIJWy?W#ep!m7k4+26kLmvOm<$0B(N9(sg;(&i&C)L#R&GFYj2U=#x;670KUSC}Z& z!|;H=Mtui9oF+p7s|>m^gs~P!{k85f7xgIerj4$*Q1dr;4J(MlB5_*s4 z$iGV|{Fr9*U>jWy3W_P@Qs6>v7B#m8wL!h%*q(d4dS0?M`P}l&!i5p#2#IPo#Ct9 z;8RNvNhA`-S*g?%b=bz}d7{+RSRLAP7U&CB*VL1$9qqR4&>EZirv?xhS^;y^)GF$p zSQWeXeY&t5aUSQt#{v&B&Qn3>;%_Jp(5P{YKonDQ_wooZ( zMUqJuOFT{XBC)N#$U0N}CjS2U{a~rsm>IZ)Y(Pe9YCt)(;ry69zR)_M8sy0Q(l_+F_=%m=leFp7n9dqpDMl#}`OyhwhCgA>$fP(M1k zY|?G+W(@88#@Du z{~{ISQGG7NiB`3Xzd~%&8oF2lOwB#Cm9@oGvY5McIlGT_RUhcQ^LRXU<#G(5boA@Z zIANzrek`)zwV`Q{xri{tFKC4gHL-pI0V6ZleaJ!z&w&*+Q>p;6(l%OQ!S}rn_FH5H zPT_u5wUERuCK426S6r!)2v*NHDQD9k3~VujL7HxyHhXc(S4$PeQG z>xV^u66u?d%xut5xYx^=@{L;Ij6-ebuRIaDoMO0PzD8-qgY8uC;#_ssAe8ohk+%V& zLg!pGPX~ozO<0i~L>pL}Rg{*et9$%gmjy5wt0ZEyEc+E)3}s4VYIiINaTi`N9VO9| z8sQQ-OZ_~|7f4u!EGNPO6@;u?V6)&I2#Acclla7KCl5`MX5;O}DE0dk?3J8bI||-Ixqb?_-gIn zy`jXZy4RdMBV_W;RQM!|e2mpuZ#|k{-*_}64ge~BaE+o!_WF=^`@Fl;bxMA!a%rT3Hrg^bF+?p+~rbFw*`x%JHBx*L=Cy~lb$Q;O{8NzkX3a~Y$(g?w3I&R)C zpi>~=9@uhK=36-{_Sya-1cTQjT$x6(wM74EEXm>Wm<1P2kJAqsto;VV38}4Qg4-D+f*iZreL+Sph%N zHo?dbud8`FhI{JR4cUz;R9e(6n{%wvt@_nb^Or=NccuWsVqHr#GdT6u8%fJQ?`3hE z_*o-wNWkucY@$b1USiHRb2kwwiA6BtkF?~-R_)=J-0UozyzDJu2q=ZD6p)A0Z?xtD zY)K(Cl=33MuoNaNEl4~!6;+;~l=pdnn0 zLo%%ZRBR5)x*(2x%x;z!{2rXnH%Mdf^sGt_vNWkp$e#x_axVWFz@y7f%3Mo-`K-d} zPBKixR|E2>(&o~UY8TxOt^>VZAs*HuoBHjm5|`_jxT`AEhtb;9Tr-mMz-kK^dGfn6 z!(tsplLhti6h{x;M!kAsDQkgJ6@ zWl1ZIn8Z`BZ1gR!R1Uo4P$jlA$H2c5tEz2iJ^2L*H@-4^w%;ZaprC&4VRw5>sCKS2 zlLub^ZHe@Evwu@onfY%9RyAvKdo(8gf9_3I7_l@rj`f`r^>5W$F7O34$=4cwoLz!M z=!J*HBDOp=TG@Hs+B(T1SQlR{-{xirV;`${nwEctw|HK{%)?R@bb~=`!5b${?cbFM znRwu4T3^8e%i(9-m~JlT=0|BP5+%>vTK|T%YIR#z0gR>`@0hF)Z zquDMGnv|6-BTm5E=lbe`g&Ra{yZV>SWa1mrFho(#Z>Z)PoZ-TTSn0i}?ADj{jOtea zNwbPweea;9U8$xu8fMG}e*Vd1D#z*YrYWAem(|J33FdtJvW-q%pxpcIO1Jo3-Vsln zF}xG8V_HHHDQvxHGzUdJ8ZO~1owNM1o=8J#nNbjq$GMx#Wmmd{IC7Y(ZKoWO0bDjR2$#FSx}6Q zzaWv4(qm2?8Sg>)gPF=MU4sn_Xi)e#c=WMnkkWzN2cZUk^t&Bh1qfkiw3Rgh-Gh+H zfHzELS7jp%0Y=;eaJX#7Bws_qT~{0D-NC8fvaUS`fxC3qCA@I60K~@QAEM^M0s8}` zUs+Bj&m{4G7A7t#-E@O4$ZrZZY)iLOh08Tag#w=$<^bB4@~i>WYJq4TK#n-s!@|I-6h8=c-fIaMl5pPvhldBt`IKVCGvn z)uaQSM9MhyZ0YRL;@A&{jhPj7gnYBPYItfUY?FgG>WXq=tfagv$1OT1KAI_oe41Un z&u5|$pMb3!gv0ew1fFzoP{*a>{Odp$A(d3ldhk10;SxozA)_%CPr@EnBBgaaFj~g_ z1R?7v)dKNG$)=-=%loAVaN{`|12S-;!D+!Ah{cpZ*Ew1GE?7GQ-cJ{v+M92ujEZ1( zl}WCdw9Co0Ejg1VCw2Z(;K(5zR(+TvD@t9cH9)iHopkAn)Mdf=?boD}l@SrS3y5$F zuSa9Uj_#^mhpyGtlI0WF;fddAA9X9te<&_eEG%w57C_Uq-^v*wZZ_L zs0iI78d*{UYZg%s@COPlb?V>~a4HoIaCud%pqPJgC}mOaP-k521!i^o^i-D=5#^rv z-F8U`Tnlyxfu#~P6dTP@P8LdjP+V0G^jN@;I0v*RiW^veGF`D285abm$-1;R9&0w& z$CR5S5y3T;z6-E2Q0tei0b5_=d6(fLl-EAP{B+=>U?UNuLl~9u@KBW;e?qHd3%HxeC3TWX_XQ_SH)L+5c$+puuIf=m~=Ff&@8eE-l&Yj z`)=}-n(WIisb-Oc_2zH518TNxbfR)a>Tdq8USrUL(YgU|;O7~2?voO87>GH>g!grQ zfuY_=fL6tc%%S3}FGIm@fq3<`{=Gz$A`2*qZrdG;3A-y6!FLj%!30yGDE-CBwurSUw=H z!^c2)Q`*(_=Q6C+AlkT!XJ`N~phCC&+=-Kc(omUCEO40~HKcv{$rU2e>xWE%`{wpK zQByElUsESOn7lTHuITL7v@B$Q7F8y?^mJ^b5*vi}#C(mLff%e>;~w3kiS(VRd703O zE8k$Ua!KTrC2cU&kU&^&naxYYmwwicdcSytlQ7kd> zLH}luL1YlJu#xM0#<*d%%kht|kySuvzQ}x)3JQ2OIqA~vy?J(77Y@v>2Hsi6T8k%M zu*FHl3L4stTR)hP;h?d4RESc`71=%-iaqf4t{Sv!-~lZ@D>VY*;#91mfL?+zgREJg zp{syHn#;XKscKN(x`XfW)ARmMPN8kX+tjDzNZd{HCv+U+KN^CG=T?)%DV{2Uo=X4( zOEk-CLkvgU*LS1dzm{%l=?P!a5Xi(_AE!%bFv!K&3>N zQ~+ng9h0qifsdTrGY_n#1Dpo37Yj)G*4qxEV5}%nhPEQkT_X3>p;FS zJb6kD*Q18Gpx&B(s;>j_=6BaBSLqoX&e*4dKaO8WMJ@0eEOAs9Q0o zIE&$INP9NiE8e`#aOMz~<$AUp#C5y*)OXJ0 zqhmU}W3|B0HdGFu!<2`n5DT|gxUim4x^VD8n41H67p)?L>xykPs53u#ELdS5zR;T+ zdt5zLMkDkIi?w9?=o4U5rIp%aL%bA>9Pq6ZlUQae0o!$7{HhbZ5Uf)+y-;N0UHO^> zRj0Lt<%GwZ+UB->!6`+zCsb(AG|4qCrT&FUNWpAPED5b@Nd(Sx+kbvil?5*UZb?Q` z0DO2$_oHj}=#-SKzA`R$>wXG1!*yPHJtu6CHE-F5X8NwnqwyXm+F)<=+(Z7# zV56rech%Ste}iue+zGAwu^(6a0|B8Mk8yF+Bg)AbWmjb}^By&R+&dP#Fob&j~$z zusu!Q!>9(8L68wV@A=U_XB2iuH6XoqW}jMNWTt{C_q;Gbx?1GDfnc6_dkK~`_N4*i ztJxTOQmR#nO3?$bA562s6=3w}jrhcpC4R=I$)8DOtjL60IASqs5}@hQkW|8vFHC$t zuKm+wteSE419upSQV=66v{XjO;eNvKu{#p?ei>%V{1g#@A>;ra-$$wuJ>Fxo71IFR z_YI#V``J|?7sdk7FGDJsykU7FW8&e1h#zWwF%5MI{$XzLjU<1MQH=7ObpBgoJA7-C zY%+nS%Iuys7CRknDw*S%N-l@wu7WQ!@zgJW0VPFsRhgb2~n^+OqnL-3`4W~6nFgx0SeOl<=IbPwH4}r zr9AvoNV!PO0noHj!X7B` zQ2M-H_gj9aEfRgoV{5Z8cStr9#8`hH3O??{)Wov|q#*B#;J#j+DD#B-g^n@VBBd1Z z+E&`dl1skKbhfi!aQ@9J;JmRjeMDzu_!B-oF9UZCSWZJsB)tKBto0|w$2Gl&@Ygv6 zly^)CQ@vpYQc3wa3b_xZY4$x@^i_O~JD`Grqow0|bMBCaKFB6~=z3^RcteA&z@;28 zw+V`OqVkU6gE_5g0Hvj!6Os>+hm4T3AdNm}(HQbzb!@EVV)D`NZrtSCb;ZMHrAQ|> zg4F?Q@7<-dwvTJaHzHlxDPk|WO)^`msRfv9R>+l=*18)4eOXa{y2?{Nxor~}bCg@n zdb0DG7IzEYr8f5CU+&O4ZJ{i&0r$8B5>gZ$dz-H!$ZDNKAfi8ImX8U#`|-CDUeGxH zz8Pw)P|%5>n1oIWZmN(!nKB(kBJ(&s!% zGy^SXO#m8D#T5kMHcVJp)y%AVVjfa!B=iz{yVXeueVm$W>C7x^-VKXM+H|Lm8@aAE zlJvBqFYdWz9Q^?@R9=pi?=Wwh`$B7|;xXwr z%oSih)uMOPKh7O{X4Q*mfWaxi&D}V`;G{wzXqzg@@eQ{JfW)}V&wlM$VH37X^I(uOz+LY_QpJ z^qB)bNiqO;NxY9jh~sPy6p>QILQ$WUwTwu_X1_M6QQnMCP&Oz7vwjoY&9c#E9lrrN z0xNn!Oc!=u+=KOBtuHU$%OORmJ3=BiLfWGGN{a3oD#u`nS4^PX071$5Cl}P1ce~eB zNdqXm#GD|_Ck9wBdwKrES6dJg0+Z9L_qn%94tZV%$(q1907Ag#k7n;nM5gD5Cq{Hu zH%6BIngrcZFf7ZMu|8P{Ivc?+|6siA@PBYUb z^i~y8wVtnbR`9L`H-E#mus#_EYS7)vGDxA;*|9$Tse03EsT4snv{K+e6X%h+tWybX z#E(*%l$Ph@$yJr8Cyh1w-0oPzs0T_I* z#!6C?*vLDvPkxT&n^XKxB4of)qYZT=*BrI6xyyEu&bU5gh1I|NA!ccAEveW_LWxSC zoIn6|8-vIS+Cpftlx}nF&DNWOJsNA1=NZ~1VY6*UW)!>V&3hEr>M7>hEL{YIqv zVZRQ8m*&&2MmV*7dR0g|G9b0re#+5fhZQN5Zj+zY8wL1$DEtt>urpP;I1`eC;n%E~ zsqypE)bj`iQBTZ|RN!aZo01&C_VY5^Qs?&`R1NOJ_{ zsjM~<+99&&N2Y&n3Vm?()J^r19m3rh4ST@tD4WAJuEd&8wo~dj-i2URr^JDjv`HY< z+IN^NsV?peXsvS29JuwFM(EPWRKB|ArjD!Q-qneuTT7*5=grCjUQ+-Io-kWH@nL&1p z+D%v~XaloB1mr*yeF_*3t1f5pc3MeZpcyK_m{cTOVV(ane(RUQ+BgKx$>0>kTxG~badokx>*y~JHd%#>$3a7Sza|=0k+II4zo8b>Nih{O+}uKUgW$VoQjO{>;@^L3s7Ll)Cu})ohpKE+`wdOU7OMW3*h%=ALUpfhlEr zDbZ9v33bC3Z7nydXW~Yf&NK7`1lHe@wyS(>%ap6waN!hxB*(c}Q6ZIKQojC`zcJbJ zj5QBr-O-3g2MRA!lF3IE5~EbAq4*TPVg*On!0rxGn+<&!_nFD%Jc(=xDe{IzI^l

S)vaa8jb(ktrb~ zBB0(+Jql)3@Hr{DRYD?$d16QSo~)#RTncBVs`|V0nvF_3TDPvHO{O*%(<5P13uLES z%#h}fNjw;oATV=|9iSl)0?a{pFx;rgqpOH<;f(2k7reK{&@>70ARRhTH^n)KeGA4P zn{ABZ;+cILZ4W9>K10D4=ACnp%#_ZT9JCk99O`!FLqOf@7%WE6-+HW{1U%BzfS6K`CdxK~FpVTy4RI`{Q${j4z%TE5n(kzg+yODY*AHDuU+%zz5x7a(V0Ux(= z(~YIdO%OpGUCf*5Z;CQgl}OvbwCk#W3n5Bzb=&!9kqHzP7`Iw;ku8X-p2^UIB;%N3t;c;l3QivgI2Y;1h&e?c{Bp->HfddD# zHob=K^f@J2xv{Kj-Zr?_ApUcYIE)lt7tlnW$3B7PS_o^-QD;AjZG`Lu)TFJIRjB)0 zJHG@sY}pB9k#{_QcDili$Q&_jX~Nc!81gb5Ys4N={xp62*vF z_Hk=x1u+Fh& zQ0w2FM~5Sf%P}Ih@yVvxr_uxBqb%Ij2G)yc!`Td#BLpik)o^BldhLj-GA5Jk9kf$O zU=!vK^N#B1_X3@mTV)xfdMfsRPFC ziWh11Z72?Ek10Yow;s(V*})ifrnLV_Js1{^O+{e5e7sa$J*+Sk*YH%n9Y6X}sBh&J zt(OY`${_rPv_{%zBXahM=uK%?5Yu$r%X5Xop!?ssZcqX`g=A9C<=Sb-vS;_~OojDejAarqk$2Ya}r zv=ynv%QS~M!HW)Im9`bWAWo_bO5GXhm>HjXI%9g1v(R#T7dk{?!Rz7C2kkE(4mCtI zFW_K-$xK_~F2udj&CbHWT4l$NDIfh}We2RR#833<5K@VQt~wk9twT=6C#q<@qt?Oz zg8wQi@E$i0={BFdi4;ZQkot#pK3UN749%d`dmCF2CwxsCp>0n#g(2Kzv1-l7HY|?R z*U>>)xO6OM&1~2`TQ_p~#8!~>?ZaOjfS;0A{k*M_`64mTaCNCL_ywslC~@iXK|%dx~q+WzhTB z4_lM`7NhDl#H7JI?8z4@Z&`9K2-VQxjeaEK-M6HObz#Mbm2Lc4Gn#6!$C-mPYMkn= z&`VHHj!cMh0{iFy_sQIEv#Y-9AJF-O_l}Hmav)5g`Y4&)p(%mUT`htiIQp}E1pK2z zZQHwJ@7h`aG3?92un{9k64C%BApZITUStI^7i17oTF8n#T&B5`)+TgiN|8}gAAlz` zT4%!q8Qh33MQl0JjK#LnJFrt?O_#37zz4Xi*7m>{aEV7gaC#{J z9~L4e?Fm3#Zd%$*O%0r4oU!Kzz-yr?1C5wDfdPHvX9Dt>N8Z{EBMr?jwI*X6&!Kjo zJuqtAAJEgSi?@^X2mCKWK18xD4I4$j*xX+P>1CS#poNe*qVd*WbGNk%8_c>0p=W*sjNto% zg+GPA)D@zx0j55moWPTzoF_D;w_bgFb+419;Rt_dngr5_?POugD;Wn(;vaUcH;wO| z^fN#fuRUmnj_c&j{%}Tvebh#2lTt$G)|Yy%mQu_oc^`>O`IBC``*4z+nfDx)2MBHR z{iV>BXZf=s2pK5{(2KrHF`-BHD)`%n3r5NOsJ0sevV?H?w!H3I7iU4e5gb(1nK7Ib zx5mxJk?`Am)m!*&PAZ&JwAlbSBX4M)xf2&Ei(^d~`y;I=vvJTa;^awKN@pUA^*nVs z6XE6Dn>yQ-U+t(kD9H=pO}^BL(x1ZiB90-c(;aRDJ!4?C0Ve61>RBG_zemhH1jW*^ zQcfCG0UM5fG1jOa)J+iiDNG@7+23C?&l)YY_I~@-4+4w#V8cv#ssCq>>^#~FY}zhp zbK})9k0!ur{HXLRLIjO$Vx3l3h85!4^}~V3X7e#yedH<3<=x8hzo44?+>G{>_Bcfr z!FHAbO1`lf;X2fcPPT<3HR&I<2LO|IM7UhDc=U3)SQo3Ky1jUu(@kIuV?bS?ML?WI zT%duizCJ=gnjIPyDP+82*bOH1zs`eKHwuPhzjzZjQJY zF$}>88AyH`V=lta;gMc?txC1V=k}r3@tIeHXISjIal<);YvZa6;8hv6g2~>{lgm(x zrJfqo)H0i8tzjs6D)4@927o-tZ=m_vN|@zc2WYT)fdLsf9Zt8cFqcL?x(i_Q${p1} z>)sAGyUv$u%0cPng;b2=0si~_9>Cygd)|RZzbu>sMTy%&-hP5nIrr|5Gx-LY+$3>4 z?;qJ@k6x!y261R;_%ER7Lzw)t9>4o?&R2=|9zFy^bnI#M<$Mp%|JT1>%=0tgb^o?a zaaY4QmdIn^SeeD%3nCzU7a_gTi#a43AYDe4_X+zaYx-LTf)Ooqf4-t6}|FGnFJ71@a)Wt-+x2I_Ujh>6&aG6`u5&82+fTR^k z6I=Kha7XM&7I0O5Es8qF(M_~5?j9I73+SF>+mOKcIUQZ$-R<#_J5kESPm9BmX)zLO zQPP{HwT{MEcw?6Yc z&@&tnIsL6I|bg7q35D37VKF$Uni^^5Hv!3P@tT$-nlk(%+3A0c z7FarEshyyf)4f+y!VC`rKer>;NA55KK%2qX0TRwXXEubg-dLGf>8uUp%Ew;0{4w>b zA2=jCf-GmdwA9}r$98EImdTs2eR>rifFNeE>BK;B#v}NT8Ypz=bN?|2{!ObJQqSxK>gnBp4Oti0!h!iM|}`AEOT3VMa^dUyP~lj_Cf51M(qQf zXPS?C$<#K|W3YanYuCJ`f1Nf!gW>IczftEp9E~nh*dH0x_$qH)r%H0h-^OBed4Y9- z`HrHoe=-||e)Wmy`Ml@v>fjN^txC?)iLzy0`S@VL4<$_a4Pg$``ycP}62hr|K$+Kz z7m9D|h}Al>D8D)OI*eGW~yZ9gGUObTi{il4g~t)V)=q zoxj;$R8K}@C%J#M(Um(5?nbV-A2WFzh_6TR5=bk<_*`AX~m_6OP9T<3@vwvlM|Hm`>v~zApX6nh4IC{@v}b>Az&d ztP@(^z)c^?dPptm?cV#CCM{`)xm~&8q%09UKe)V0+9#5Bx~w`{`cIint5Ln%iwLQE zUe3z3mW$lNkvsnG(HR1O`%(9P=Ey=$}L4Zn_T57JYQwq)yg zTHDA5Phq1}hn^H9td1NWFd(vwHDK6Kf4KiA3;ZJvUtf@~3Nvfj8Xf%+Cgzcqt# zXeKXFdPrp?=Nig}a)BptnD@gk#R&LxHYXP$=NN<$kpV2eQ#kpGyM&VF63Wpa4m=n~ z6`w*hX7)Mdel$J9T2>8v7sq*DS|7P_3pdOS`!4qjKEhI|=)ym(GVy~KZskCFNK1Wc zy=a2}HoN;4`-6#b10~{+%_7DyH0m)XiF5V3f{lj))EFjGk#*@QtKvezmH#OpS%8x7 z4Y-Y1!_Fj9tjtjyAGpqk9+LISCo?>mymXcST3d%SNt-eWJHRD#SB>Nuk8Xo7#2UYznvFX8k z2=(c$t)C;Rhma?H+7{d_Jd>IK~Om7o{)!IFo{@14rY zV}Q#yS0D9eBP459fr>>GycRaF2*M-paa1KA3)Ozw4=tF8)4>uvjVZW?DS6hq0{?Ah zR5a8aW|#fb!ln(~>ymlYC;Wi-W>rQ0AjHR9TZP!M}nd8e_AO$YZa>F-S2l+ zX@q1rLQ|`UjNitrBF5?i7#Vj5fV6$00dd3N5zy;GJF)MGyG9N72y{k$CXkPChyu&i zzKaZa!#J{-Pm2RF6--mW3y!cR=LB({gZP8)tY=5_IPxLvIRF};7A~fkAAI6~ntUWL z{!Qr-b7HSkW06%R-mNIcei?XUE8Pm;xW^GyqhSVmiv(F*QqwYspR$KZ74Y%m)eLg)>Ki9gn^k9mt({V=8_6mu zvppC)cJ3!SPM8C?|eZO=-zY&h75p)6-o5)jo9O!z0 zzM>d=V@tpFezvu62e?I{`X!y<0vsT)O;$xz?^F32mZNUjnOf3;cqW_Dp`i68hX#RM zoG;)O>1}*%Lk@FbVz9_BEwb5lElHJ!Gi%^f2ZvlDDe?+qe_F~@M>b+6Hz2{I+Nv|x zkx1pzUm=sjXI7z@rb2xaPhuvBWZ*pj9i~}{mXwi!InIOs- z=Cva_;>{Ythyzm{%g1(4l%|Su6zy*7D8LtrCY}eiEgN<>X5{P0C~P+QASc?b`PrGHuH0rg?NoE zXt)y=qiHfEs>aQ=ik&Nz^Gz>;yVo~GQf5CRbs7eFgEQeK_^+#q3ZoNcD1zb%(E9!n z%GjxpI?89YV3IlF#>crss)7JVK)Ao#Fzl0LR;Aaopn9O1<;bCj7-u$QF{Vj1s~z$^Tg959)uIu;)eY1+JtFp1-r?CMUA0Y@mB%O#`C z&3_TnQ0xc!C*9qzr{v}iDjP6oeOfDwz)|?5GQwFTv&XKtCj6EF@~s|H9I}g{(AuzLHRm=klV?F z=jL9vhW?kZTh^+*JnQ3(F-IHSF`G>d4BeQ}G6iPe4u!Je_q+_Tdv4}FhvB0fr%XSDi*Id4! z_W8h{RS)M8A>}3+{alH1Idv+bj|!3@I1~WCha!U25v)4BHFcS~D)h+O8dXa;&ob?a zHc1j^g(kg(%M4A*=M`5r9z1CoDUMN(j90p?Ugcd?d=Up1o^R2dh8rijq7Kc?oMFF|eX6Qz!;V!I+$mC-?8gRHl zuGEw~50S*fS#a6E9kwRiWirZ%ANTYCH~%zted?pD74A@rFt8{mOunGxTNRTGt0zt$8R**4dZ$sY1O z`iJQZqAyWteIRXw;KyzJ*K89Hc3Ur65dmBriZz5}?g^AL2Ls#k1Y<}$49Pic(__cZ z##(BH_yif1hoRn$wa3D6skx;dSv0gvSe6MmaBhe&|6#+VttO;cR(qYx3%P?XLZemX zhaozpw}yENTwP!yGcr?sxFc{P9*o`;m?ltHVCtVk{q43z+WCE_){%5&{?%vl^NXQD zCkQk4-Q-6{ku~N4+CQVKy!90>q+oimW!-x%;ijrr<_Ny90)FHtYLJr->=iR?P8V?! zKZt)2S$cBHpVMV|*ek{GySO~(Zn{-9h}|lhlj`n-3;WMddwtAwZDC;|GNGkD5NcC( zpZ@I~{sMmNqlka0$8G(1WhpMtR0IC@P+{=1<*#z&oU7#>{t$d~qr~GWnZ46JfqY51 zT{{bJ2JLKnVy1>L^SJo=)3%B0nHC^Q!RuGGyv^}4Oof-$5Tw7np%JrAxYisz_rf#Q z{>{Vwmh8jLsMY(r_uruE>dm8qFzmo-H&4WRrqe6oq>uaoTYNzNS%fpUICB|zu@bZq zEs`OLX!(yhU(KjWT8zqQ)UW*&>9XbK{o*Q+TGBh#q@RJFd zF_~Zw7%`mJmSOI21^wCu-h3|XeA>uN+=>wF*T-7$L^Ti(Kg4p)ne#vN=lK2H?;TTd zhJE)O9frB?T5Vjck%XP>IhTnEJ^Fx-0v>%}ssGr1S}5i!hF4IK4N#QalP*uc4SmuF zkF0rEz|JU}kTE!C3@Xg!WQ5!$>U7v2(H#QIYjPwyw}ig#X~&m)QBcD z$??s#$=jeR%n6Dv@WpBJM`h;x5aQwblu`Vf%@V|AUO#e0nE#Ibbh}IQ0sYAwT%Y_s^c)PZ=*b;STlw#|=v1KZg&dpm&YdSKK-Iwk zObo@sEFuhgg)kw*?V0TgIZ6coL_DO@=>2)Wm!go&4|hTfC6nl8s~@rfAS@y}c@pvm zUnLpAadZ!C%k6FZc4Kj;P&s<+wCkmg(8}iv!NV1|-;pa9hOm#bX4|C|&jZ*N3*rYL zt~^$p;Qn!~q$tvc23lfKmftlp(e-{bz2X;0|G0U?&TV31UcD6}l_{p{vQC`vfMpGO z;!SHb8EcAad_&rWFtlP1g!kdEhA`+;!a54QTa+}%H;NSFTbBP3?Z$W~+1OS3HXMO_ zV}_O1F!n1t6^{9)bdC43f#iXbn$qrx&2V5oy0fIN?Tgrso#8U6gAUU*)cu=uz{bt? zEy#f99*R%+Lq26$2B$q}ueAwURvvr)7{C;0Jk^?Ps6eq3|pOgjfUSXPG@dQh^c zSE4PV=z2mD76|LJjcL+sgELr}*?Vuf?!9=YB7fJPNmR??Qgz+O0P+4?Ej0}UsYEfu zHLtIEgXjvtiv}5lVt;)fRpF}P#;El)gGmG@%E`9cXxBvD2H~qx_#b?yyq_6kRqkUo z?}Z_a)A~p#(Ut5IeVJDk?dh23;=Y-f3PV!xG_Pr$*~Oi^>)_|#2lDDVo`!v|`^F7pxrO_dQJNO2n2|R|eVk*$>!S zgyBQJ75LDY>ZVmT`4ay#nU}|l#ue|DL+%Y|+W%EX?!!n2NQc>Id5%lfVc3!eL6fJE z8~;of$4Kq7P54Za(w@v?oy0@_dA~;?RNeCl4kCxJfHv z@o4QHipjG{7|TW^;gI2Md{q452*k|3Wl%kwQ`nr;rtyLuw9%TrtFL(Od;tN0bvsqQ zD$;m#DZhVW;bixHmH{a$@`P8C^hAc zGwLyf58n@*S8j@dBGl~bxGaEP1dW`DI5;5hs{x=@{_J-xVXXJ>Q6oL@3C#_>7?h!& z6)}#(5kN2=kkIi!2aZ9EVIkx$Bsq|vj@^{{aG#$A)YIzkb^F`V|FHTDi zHnzB`q4JN)c{?bjlN%!zTlOHhe$9l|ChU}2SDq&s7*b$7DlV$u%efQms8Y11po)GscA`4xioWegT|{uZ^G8UR_H~iGq~VF%=bDoohNr2 zX?bn}r7g4NjJg#MxnO0I3slMQQcZW810(Ct18dM7>#h zLgx2AGFs=<_xRzdA3{wB^s0Cdt7Vw%{CnV;5g+%l;!gKOJp3M*x&bY{EEB*ib9q+n(Hb`Gx zD)o+fs=XJMidl-;vxev|+!yr0o*@nU3qEw$q84=Dm2>p>96e_{V$xaeL62MalAsv) z0#214L*E6`XPW47i2HQ02U>VH%Z=cY%&Fh;eWLbEe6&TK&KD4+!U61Si`(<`T7pFy z?`@sZ97oltU{(bCqjnJ~%G^16%xPQa5Y$p7gyUOdWfr>LO+}R}UYYmO%}F6G^>}qN z7OT=4h#+-P#2vqZ8j?eoVRuwi@fdZKR>Vf&1Qel|8^bpwE%<_LA>)uUp+WXk-{vU@ z{`@=AVThi^Ro>PaiB@T%7_$bM^J;rIwCVG_Cd80uR{cDFC&23vl{nQzSKJk~FhIts2TAmy=A#5f$;gRKqHcfhx~y)tIjdg3AHQ+s>- zNcwIB#2L`gn@Z7WH~LZZghjmY%T&2U&~KwJ6@1j)l3yM@D>%bxfL!0xMGm7g|Wz0Q&y@^UI@E3I_U`6`Cwaxq3!5`Basd+M1#j&G)3t6~$AF zdKy<6s4>ZMlHt5c;vO`P*gltWDW&OD#^0=Y+0-42xYlZmLsRV{#E&{6YU<(D%d`%g8mZFm>gL z<$#XXeFSVi$hAc|iARuN!+$M3z%XQbG7o8dZ#Kxy!cT@6tJNhO1NWT4^BAOrf!D5g)jlq|mXOTqdh5|+TJ6Gj=vX~mk6VRGGThnPHkFcUSl#p@LjhG3bS6!u3()Px zHY>s^p`&l~KRG^Sy6s`1)XdteAB6jQ5N6e{3#>GxFjQqfb%~N1ul(jjO_ACTOLB2^ zA;a1cw423hrc9aaEj@7t{n^fq27aC@Tcv0C?oWYNez3|VZZT*iw;0u;pVESVS#J$u zb?jPb+0z77-3P3Q#WLnne6a!LXjj^o80YV#d2VC|kDL@1(tfItInE6i zNZ0|W?0(-gWBey@k+f^tnE;(_YGFVEm$^`}fu7WDOIV-ffl(!r@e;>3DOBj+zXvNf zQ*P^bO@!ktHD5j<_=ng6n?z*LM;d}Fv_epGWoJkAb+jqE>`&Qr{!B>8{X#^PmPQm@ zFN%|V3EqN>56twUPx{b7# zq-wOC24#1++(I9DaFF zY{5TMu0i-DtqESj&%6MYy6?4is7>nmAKp)f&r+;|$9FmNoon|tC&z8_sPLdabF5EC zvZ{OoT-snN1-)Ca?H7buYy$05d73iWG0d*;sBXP65?#MwkHlY(?C`MuWRh^NEyigv zo0Nql7xmNVPfE>qvg=^-*o_;xXm$H=8>4c8XM2SlI_t%u_u?IN9>7b38jI3EU{_zl zvx%zUv#)fCD)+9_N{#CSy$SHm&oZ%pKV0KMT$`__-KxlgM&dD}F&Bj1H@jWl+7R_$ ztIiO>vISo+Hek7R`y&SLZugX!lf1j7uNt zxIO?XEa9X-r*7i7Pb?Ib)J{5aRjrCwt{7c(5= z#Nh77{`?mYoj5?bkHSd^Nw?BA=>N@18V3<2&)}iK*kgovdKr&|W0oeZ46by-Z~8@M zc2IyLkX0`*Xg5FfOg^Z!lT}Wj!~2#igq~!dogf1q< zrqde2l{{kmT6NpNuX)qp0Cy4&opQ;22?TUi863O6$xti4<>d!^DFL>?AuaZAIyujG zEmKN|G7G8mjG|-EFo+3e7`dsqe@!oVG#T#QtR4I*%a2j=^#{Yy0n8E5zd;zn8ph0o zUucS!bH_FNkWd~l5b41$P+70zj?#Q0+3h~ZC)<uD}XyZ_d!{FW{j7vCY)Wnh%O+li6RQkMr?g-=T#8JLlId*fVd1muoqJmY$kJo=V zP{r;z=F{S$Bf-x|NO0wo(#-JmGYHP=+X{J8m4I&rjmn0J_LHjw72uTkWA6T6Vx6Lx zY77+@aW}}bCf#Wg7ESi7ds=xiF)dhC!0ZGX!g*p@>*0JKlAkmq535h(*j>$%KDyPT zNp~0|K0@CXOB$QsE|v1lua=VktgaVH69XC?bF;1W^(d?A>&>Xvkw|W)5l(j$WEPH5 zl3{uIjm*z-vE9x0xnEEk;Opq zspMgcvZti1Wyu{ygG>m^FMIu8+_olQv3`Npg*dL^&=mLx4QtRF6(I@#szUrE;#?XX zL~I*y@|B~d*Ruj{<1weDX0VKl(+45y$GWJ$^A)|e9ncMXk9cwZw;gwHWZX(;Gh~uF zxpSYGpMp{fy6&ya?EqPkWqJB3g6Gmqn%@)JZoS-gPBQ%Nu(=AGoOqY#gK#1j2X~r5 zN>tQO!0u&|*Oe}UV*YU>f-(RqYpBMxzZ&$9T{T3|QihPj1a=X}0Qgm_s5g|bncyA) zI6p%|>@U1g1fwg|apOS`y$o1ng8`bPXo04`Z}a&uf`)Zq8dNyc1kQvB;1Cxj7`}?M z^5^C1N*IxiJ)k3Xq`g5_Dii#{Zb07BMLO{r?^}Mho(9lC-PBWwZgu9)6*Fq0g}FqY zcdrxJ$!y#7`k?d)j-Ua^WsAakrIiV44to=RZFUwtk=pX2 z7iF@JYsvh8)M%9B4QGr0>sPKB^0~RD={a9dE+cyspsG*23o;R%1p+e=JtK)G#9h2qtIjzhRV5AVeg@^9e`E*7=88V%l0h!!=~zRc z`?7+H0kN*8k_NG}t7G0YJ-xVT(;z(utmGCu?4jp8or>&A97LO9-K<8sALeNVUekTJ zLDgHu|4rh4Xv$d@jVU%A7a9dTt1n()En~TFv@&X-PxOD4mi~3H6lLF@G+cr&npgFT z3C?Jue?dQP;L9a*L-aIoSDHb0r#;RJ$_AQzGQ~p+lByAx4h4?nJb^R?Nj%T>7fXeA z(dNo8T)hz*(u9BZGGd9~C_9Yo3Av4759o2xp0rxRIjGERzD~3q4Tb~udP}l5(~`p#a?Eb$2c^_<+`}z>+nu|7 zbyfXz5ZCe0FjRj(!6(;pKD4rKlhNDZBV0PIyOwxra`%g@bnlWNX$7js4#K_q7q6Q% zU+Ac=?Uwx&6w#4I_nR%BO@ES#O=b=5qswF~seIFClVrcXJOc%-E{Dq-l`_Tp0ZA>W zDKRZGd=39Tca~x@F~3JM+#Gz$=r#DsKBd=0zB1c~bDeTQbeRx5IJ_OF4CSa8aoiT0Q<8Viud+}#Cr*^MD2}LbuN*#xCOV@K;MzOGBs96Gbr2l?2B}~ph0Tqt z9_1Xxvvx#ml6wX4v$##l>`oHG7k^m3^a*&d_~J^nM(&CYZ#2@!zL`ol=;xM>;wP1D zOg8g;?Z**A17hO1*FN1Pk&X63f=9vEfRp%;3y=tH4KJFb%3)Vcd)^siR9vG+{qam~ zv}BBTFK^-l${l>t8PCnN`_aC_;Tk7cSY=J}DJYD5Po+0#O=}PMg3L^0w&!0u>-D^G zmh=hFw=yJjJ(y@XiU{@!wlT}Gtq;MsU9Y}VutU2#LKKy-Fftrjv`A%w>Gce9wAxVW zmQ*?cDRSrUKrKpN&!nfCW7cD0Oq@I)>G20g#rWX@(V{Lr^~WMRmta&+uPNH!t|TJ5 z+LOJuGjfGHS;D(E&$W0})5f03&zV+mooeiO0Xgdg8Gc3Gn&>yyt|b?R7$?gnFf4v2 zp+mqe~X$(j* z3#CwC_>v{Zt5q{-k)LPIlxc7L0=VW7x zaFboHAm}bnxHSOXfTN*YTe8H^)zM6>J3J+;{Bw9)j~_4;Oo_G9PT1UIq{ZeW zd@VaL#qw0At@-w5fVwPl&Y9kf7+s~9y72ln<>BJ2GxNq;Fqh&jI{|$+Q`D0rLuFbQ z_E!3LOXo7>B`{%8wzs)QvpIAS5;Q+oKD7zuK4kGiTuxe(KU`}DnZ0Z0b#tDDli zko^r?)Yn{;fx&Gb_Ok>1@SfxJKnr~Ez6xRQ+=8j^->S!ry4d8594^HDnUQwg-wB#= z{|l+`9BH8mLO7bONVsJ0q|W{mNQ$CftyhT&%2{vMBx~3=A3Zk|7n)6Q#4E@I*;3TC zigT)XkN@PnzxQ19cPC{i%OC2x?7SAg5*h+8?s+SyO{hiS)s}V9BAL0vUr@9x1!Mi6 z%XZ{#s%cXYM{ohEg=Zad;D&*Q7_lGYc#VDxG13-vu$|onUpbcm+*`!gDZ7$Jw)zME zOGohOzTj`~cEL2Oa;Axy`XJQYYQ^+sED>Aqq1HshJv}!7TOfRpl^=EUinVyx^?1Hs z|B7;|cb!^CnkBQ;liv96vkv^fOHg}jk#kN2*Dizvii0_{MMv3L6hnkE5ll3;-_GQj zk86y=vXXnJ#-W@Qot(n9Jh<9#JmhWHA`PEqhZx7y`sxPpz71(Z_A<;r9I)sm!{lDZ zg*4**hvrBUqqP6+^oGh^bn8k9_N%hm420PquaaLa<7kK(UN@=eePhvfdu*C=BBmPp zE11Db?3S~Q1+(rCl-fb^L?D((YfX5gJ3wvqE9-J`IPT`u#bI*))?W(yfA?9@i`^wY zkGTfbMi+0+@WF~m^<$>+-zH0$_Da|bjMm2hn_6z^I7)-DcdxolXMsfSry-#45$}cU~u;BpPx)dMB~vr2tAU>-T@Bg-7$%S%x?W=_jqI(QvO%G0Nom&j z@obpfh)!&Ij||vIPN>@ubu|Lz?7aL0F(i7tU}b^TRLYJvFgkN_0{)G$!PvEu_hUNT z>i{=~Th93_ySBHGn)p_Ydb;wZ7QwIZQ;Mz%KbdpYlKnWuz+WhE$&5x*B^tem z!xR~3b!+a=SSZ6_mxMHlhH*m?Ex0TPg`5cq9!&U#qaeqIq(`Q*aFtd-`H@?V>wVOZ$f0;y?E1?a)*xd4BO! z)??irJeKe1ax+%M?25(PR(g~YIJOkW<725Up?KN3Io-xT$$beFlSS4Z2yeyPy!&M8 zpDT~U80a)1YN%AJ0|b!Tip*2#dMX{jjKpDjoe$!n;&py%t=?*zQv-PZ4v~Jr@H90~ zV>J}p?V&~dzH}cB$d*4V%qHzsbs6buK)16wBb}c6jz{REcPS`7eFki^Uz^oZhUsLb zR4d4OHv}C}l{eOBK!ScE@${I$)o!*t)>p>O-zuhZs4|1^L9WsQEh;i6lCst>5ZE#2cWj7V6FxEnzWL$i%Y6BQ7mte2A6_vM<=h*m< ze!9nP(VB-`v8%7ckT43)eF=^_VBV)_Ni{Wp3aFTyAm3(+V{9gObP?9Ggd;*hR@_jI zPE4Z>4pi+dHAkdPXh|~v;Ip3*_WkJXrsvmH6O`Cg2{pY@$ZHJ)A%ZkivY_ZT$?7Q! z`kqzU%&!+WZ@RIt6^iojMYyln>!2Q!H{CB8NIX_C(YiFX1cJ<*n)2|XkdxH{hn-}z z)_4za8Xdu+mJv%M+M(b#pM0UREk7jrQhezWf3D_YJ zshx7$sRDIiWJ?|Grk4>OJ*8FOavRwW8<=mYI3@=eB598FDqEw1Fh@zkBSoTrd8xP! zI@obHl@9>D&bFd5^ zJg;U6@UNg)ZPFrHT!4j3^2ffXuHedOY9!s?9)zdeN-kbYaQqLL^bfBZ^uk$ug~SAk!D$D4nORV>FaFW z(!v@(+&HVMR-^*vKGYPKm<18k0dR+=!zj-nE|M)jV{I0<@C1}eQ3Ob=L_{FY$`1#? z-)fK((JS?G9a)pRISy7CPT%1jhAyYG!v6VP6Qwb349O=zdZaU!_z$pLM$obl2192Ijr>3lc29 ztlDUZ{i>wJYOl6&3Mkh!Qpx|GsF%rW1?ABdEi8T2LInF-e zS1rxjaO4XJDVGLGSn9blkgVyZkH}f`)Tt{iBGAQJv1vivlZ?~QhK|^I+Mz{@7B(S7FCWPk zd?uk#b!ryg>g=YEel>tsn?Ah(O*VAu`m;+nvwGT67m7Sn&IaTC8%kg;Eg6shlDl|G z?XfD8C<=;h=I2UvC8l)1e7LYEtM-C@vkE395cvVnz z{+XyK%Ak}6iuPXke|I=&zD&Tiq_Bkk;5kS}0gU*UktRGv)4$5po;P-=d|NdME|aK* zo-(R7^eZEgPrYHEwf(I}x&&uA(5^&`H0T)75@axum2v8DbeUdXB&_(^z!<_-Zckzl zT)}JwurShj!_bOSWVVhNWmCBoRX8OBn?vD5`b?kFM4`?s5wdL=>U_zJzTlWc_Y474 zqBFJ2HNYGoY2}lP?a+-902ecpZnr&GrbimO zrb3V6@FI%XvQ9&fvBT_4MFnqx*KzB%{nSTq1UI!ozY%Mm;Ec#~xjGXE&QAT{mQDu? zj+oM>zc23yXW^f=JIdOva(tN(Mvat?v;$@%2|Nh&Z?U3VE~O!bfxb1i^id5+RD;{k zQ}(YrpsFro52!haO#$uN9rN0z9GCh51tV0fif9QN!5LU!MfmVfc^Xy4kcO_K(2-&uEo6F_j;qp}>zmcz@_x*wkF1?Y-r_vWc=}sio&`)-keGBF0Qv@%KRQK=` zf|6XkrJzzH3hwbyPZS4i>eZ^0dRz#9pL7+*^3wsq@k+YQq|oe;{bsAvK{wZ89~Y2c zuk9XwxYVdUorIeAd3KR0zn*WuO1_f#p&*Htpf^a|VaSFDM$or@eN|yA>J#uU_8B}` z&}L#c*Q%7~89a-hBRp!n=}3lArA1obleOZP>}A;5oNs0!vi&AI=OJ>uZJizOQTVe4 zNM9NNWfxH-TCAl;QH*s26cdvT2N=N&ii?p3iFjrrkJ1d%8LaXbP(|rhW?!CxN3mr$ zUMWoCc+Gb^a!; zMo)$2+iEGOE4>)E(t@w;mJX$@;wBMKzaZMYvSmYrTyO#^*;LGp3xNkM&^YFr-(!*# zN*ab$xgcdwQ8Z23f66eVvtj5=N7Va$V5xbWaq4`IbjdosO#ld6*TsZ)fa>SJg&$Ra z=dwY(du^q6nqej^tlxM>m|F-=sqpcd<`nU)Fe}zPsY;Hp|7V$zTs>ZfX`kWm|8X1}4Zw4jUga3azfmbytEQpYb%K)=!0Xg8p{^duo^9@!2g#`s|%|l^jO2H`{sWj0i zk?nCiq3y&YZT9N&Sl z$*A({r9Qg$nd~&MkJWod&Pr*t3J$a?f+>IN#45TXYKtyXy4FpC9Axc**5&;NPB8VZCyLel+Nojhu-<=b_+tngx4d|90g>^8JR`TM&{ z<0`;vnjGCs8DqDliifBzJ{WwZ@4Er?F%RHhlmUGQI$dw~R6Vxv;y0|5k+B;+AVL*xzOMZC zW|qF7Pc3NM6$^-`M;qT4?Dc?iAitHaiNm`C*F+-slQ*)7^?(*|7vO85!9*N$H<>V` zVoMXQ>l(*>yD?h`fel1((EqN)#(UrR*7LlR5=6ctuB__nPY>@~vo50h$>{quh%^6Lt6eg3fIobbGdabSIKO9 z;r%|zf`KL=^31wThhgG6W1PKSjgm1a6?R>Xa;lE{+waHt)t|W8L}V$E*$b+r8~Rm+ z0}N%fAOn>Yvr9t05MqU5%#Smq+|#4Zf-Iqk{+kg)6~#xal(*ISlh8f#X6`3!9RC|wvP)cXWB@7?#^3&ENmFa$S59Ebis^3 zS8Lcva>#H~vV>DIus7q9Y2NG^ui;5y95bLoNexYBg1uHC9mj%P|f4c6tYpOe$9w^7a~yHe6*<=>L_#?{}D5 zA0x91`mha6{MLs#j^?(9C?~7Gw!mM?L?qaVq$S&Z;lcTPXWMgx^-Nuuyzrg?cD<8?OE%Klg?RWNG0(xS0E zn|ge_Gl3Ub8p@lBN%MATqJei^-|u|>P6j$2stTeDUxG|ngeOarML=Z{+?S2DC@^SC za0sPz0BfVD)0;W321h@^PE^r(wqOn$IeV0kF|61byk)Tsjxaj4o4?xb^>xPUj%-%b zGU#5NfmPzRqSNrYt=~?(K88)p+iM1ka{PmTj51psY6l4{;gy-$t*8d&{$(Z>fe$l+>F@Lm(H~rFxtyNA3D

s%ffGA9 zx;Hd}NwFpdZ0bEcKREw52>f&m#fUMU9o@w`+NJf?%igKOixjUwV^nsSfnm?|o~sj` z+H%_i9O9$5Oe(sS>?W^Bon)R)8_0whb^&=-#dS(%(locBD*SG zN3M&D^J*&Ut4PXsltfO*HK$=6i)PZPjEnZO!+yl@geG9@W z4-b{1YHT_{1hVC(a?Q1#ZujazgQq98n8!&=mzg=0t))YS&EGF^X zbsE0$T(65<1E!giSjS${7H^(8fvIqTK@e>u%=U%6Muj5yQV|-0IErQ)PD;|`lS0Jt zrly8O7fo8U#ieH;M|70g4{~X$wD0b?j&T{6T%zKw>;u*^WbQqa#R#f+T&ufh;ib=~gVaBJTf-3S7~K>Oa-y?&B8G6y@o3(fu&ZiR z@$i`Zck@ZIv=|$wSkp6R>cVrt2Cx$>AHPSO5m=1rdFyIJ8ONEYzj3JK&}!`zIegkF zvlbb6ocy(AY9lh&q+v?sz&ffm)sm?HNDd%H#6%rY&oAdWtiV!BKnsQrKwWp@fAl`y zDo%|$$YyO_GH7YWw`4lvRp(T_i8W>X`9*sT1l&KGLYC5y`2j+_+?c%e)N+wpN3nEC zb$_;V=)GA|vg#tI@h^1);;{~g^S!;m~kaP|L zVjPKF=+56IqAJi|vSBkNo5AOTPM{!87&&^rDl2`#e6(~rLL+$D$telMUYM$JS_7G6 zZVzZmg*W`mUC~a&9RL%7W)_QYSdQ&#!j4dGMhsUkSU{{P)G>pKG2-e-Y|XTR zIdp`Au<$y9i;dtjgNP{~5JC+sf9a#pD}Q>=&gvn>!3_he4L#snyET^QMK*W-`|FMl8X94yFCF?hQlG~BTXky(qc@omND7rGm zs!?`Ic8xDFzvhtur5-y;Usc}URvV)-bUCoKTo9S!TQxfrw`v!=8Q3R-PvCwRG>wi%x|7loG<*m!eG`fHHlM1^z8ktx10tA1!@e*Q6no{w{?|oknX3 zPHNNP{ZQBu-YXFQG{Qs&c>=dJ*$jTH;puJ6zze)jgj-XGXvnP9%hOl=VjV2Zl6oF} z?<;~sZNJWO>P5Pe77AKn=b!q~R+e&(_O4LO%E1_aOJnX|$8XJTnEv+}UqL6KPg`PY zRV#YVxX+BG_hwY5w_T9%BwUwY8^LaAAp4MEkEHx59BO7K2IXQgALD9iQLV#F9=0T} zjNd`QjMCGTn5MNJB6|unAM77UUA_~-$x%{J7t3<oQYviRK}FBBYtrE& zFWiXB*D0O87cBXgfi?d(>oeLBY|DMM1;C$Jal6cHD9+X))naWa|Hl6@0$mcBxE75A z67SKB$!Oagz9gyIU-_j1UKAllEoTNZ9x_vEG%Wu$z*Dc~?dBR9T+4gek6mk^fg*Lk z&HrEnWoBd)?!SG!lfNFb_4^2esJUi34Z-iBpYsV)@|RWk9pm+3x@~K+3=K zsXMV-v8}^qI3l1^yjWeF#y-WZ#2fg^->8rGh z0Ys27lGtyZ(%50GlV*?8)yht9ADK7NTtU)?jVL}EB}N}Px|#1Z_l{E;uLMZyV`jqL zaJSLnwV%j>LRIuo5nNIA7x?^|Wk|oP5{jBe4v*$L4BI5=2kPfBf;fE-rE<_Gbf zFl{GV{%tp5s~I2?mEe~D%!{WlnP^lVrAenobF&*5GNgLo3tCzaz70OWNQ>kvPm|a~ zs!3<4tWC`-5X$m5QIyGUMbYP>gJFNqy^bonTrUQCumv@06P$5^R#$Y3FD&EaTg$LT z1!O^r>k;R_9a#SbG3PJL#9HuW1ZnD!H(=a?Kaab%gQIt=OV{efXm1ldN}>a3y>EkM^+9O6a=E&P*c68n-Ow5KXLFv zi&0D9S&H*jaJxxD9sAg7>^`8jvH4>e0v4p^s!04;7V?$Ed_)MoOAJjcB`8SxG%_it ziF@v2Fiw{iQm5z!c}-NqJ~G-OO;+pUn3~h6PJW+1KJqL?rVjf?3K975u3uCx9&bD9 zeB&-ys|AXYQ?KQyI|x_1V(tKMn*8ZFS&^3!;+VM{lt;K)VXgWHIry7&;(t=mm!cMBHZ8{gMR zzz>Yq^o|ALS0!VckTshj{;FZ{csG?!s|)j=AP*M*-l#jw^B_4UbZuk0gf{_s>#n}j zkqwj?xrc58Au!}36myUna&GnSyV~r-Uy8R1`*Bp?<~;A68?j)T9Q<q-bqHh@lD6 z^|RCcZgq%*3MoNwDm~r8p+nKTD^(Wx^(Y#XQz46)E_C`_G2*9P4qbeutc?^j)vOW= zjXDq~JtBXajBHa6>AryEUK_IP)&o0cvCPSkSo~ynFQdfE;3l)PnfTo6Dqm*O^`aqk z7d9yq#;|^Rd3FxyQNU@Y^=xZ)9MA4a&S`d;BBj)&OSGcK`1k z&KL5T?)~mF_$ZYy0Mz=`bSia6xpW=G8BnB`4j&qaswNQ!hibK(S5psOIJ-|c*nl)M=dX0`>9Ds3@nuHMX8pP(8@IBtJ2MWA$@M zYD{?j!S@6C4A~IO@FX4Kbh`ZeYSw{w>}fAm*EsW@@4>!Ny2_S8eS3(=C~wL~qQz;U z-1uS3rQhM?qlLRYerv~tVu@3DTpVf~>YBF1Ei#xk%JXSrJxd42Y?kbalVE)f7lo@p z;#JH^SP#lj4f=77>|L;-sp4D)nyVYwZ&BGObd9^II2Q@4U;_Zt_$ZsZl=KDqCM@&> z)D)xg6xdEcQw5O26UHX)aoNrW3-KMy4s&p_*=jF{PD4p%AG@AlxL2ViYjUDP8!z@M z{i!bL2(H)~!D%euwEIa*4nlu?G^P5|5^_KeZ&od%iN%gay16f2k&d-yPd4f7)90kh3`=i3g1s?Igx4LcMlp2JMKTz}2BtJMN5xRM^H?kbc z9eT)DbK}3%0EZFR3}SiW96DSjeOxI1ely{sIe|V{3e-h&@_37|{wD>1xBs6H8_vU$i#YIfyi07IdcRN~gkNP}RNH9Tb?V z9x=CgeSz`l>c6i#xaLZQ+YST_qVsMSk!FeE)X^kK82tw1Xi3#HdxNnrqtM`heHiwS zVJW&-N_;od+Kf}iV6}T4eLVdm7cM-A)`bzcY~ZNGQN-U^a(k255zq+kZ$1{($WMRo z{h2JbmG`sCWj?xD`Sa^|trll=lTm%{yU_Eqjtcyrso3(=(j325ea8~f@J1akc0gMGVQ^6b+{b|zKWC2D#xS&Th zjqHAL_Gt^5MjKNRN9_Qh8qQ14EtKxifoS$>C+SR5Cu&Yi=jZ_3*k=k zCm1f7t+ym%&-Ib6EV23{>h;34$`TT6VSp&`8anYrZA5G! z5xN(Xc{LVaWK_P_dH~SwQ+CY50A(Gr%D2YSv%l&oALrgx!?&!Do!i32({;zprR)9! z#Jsi{hBS;kN{{DQ--tw@jb@Fepa| zCKT(tMT%}4QZ_jqUp&$gb}o6^7%!tAalQJV*6Wt(e^%?HZ0$!i^K0AmB$Y2cevCSg zo6c(Cl;IHDckTAt^oveb1Wg^z(i%pL`CI}sCc$$ZIw~#QcPBx4q+%WYc=!2W!m~`L z1D+k}+8~Xo7AeJ^=d1ltNs3*VaX*4B3?k_3o+gn@9Rs?@E#T{?5!6U{4JGfC=8t$M zRDIfRr7Qs|Iz!xBE^Y}lM9Ev^8Ut1M-g&bU?UrB7Hj{ueY#OdlH&H4ON3@Is(F$^9 z0@x{sxOh5n_3YIcHwWr4VCW>&1omAARRtTb)GX7%mt~?%z}aV|)s)^32xyjX;eUw? z(C!WFm*_ZSJPKEiu81-Y`Mg)p%~!$ydl98xzq?XVM3?4|l(FFFE_2rZ$QNk}hgagD6eXUkzce(MsjarLhjp z+md%**+2XVc<=598wC2$1}nAjO+h%dQFgZh<;EvMN5N7T5&3{b(*m7#lfbHLa#KP1 zc%SJjYoFC308LoUO!p~Mezn+ufk6{@3E$RGm!fjo0B=W9Ke9ywd1vWOR_0Lujaa}0 zY+~M0RY;^~4!(!^&s*zVs?HW{BM++VpI$D60Yg(-2#iw0ZI?>s5M_-8Z>>8ACBk=0 z!nh*zd>h2G&msj_?0BRq%UZEiT&!UOz#TW6LwZFv5|%<*Bzw-88+jYBCKa3b^f}u% zyfaFF#-~>v zc$`_ZlJqE|Xb<;E&dcAdB{XrAZL7SldT}gHHah{ICabBGManWx>U``>U3I_v!=DPW z8z+grd^Ei&-DQT(!{!6g@_TIRFSiQHZSCrt)ben?hi|YZvrbS^b1q8wXsFWg?G=ziJB~(khc#>4;v0kACio~>z%{`L6yo4 zkAE<kRVDy(Eh*v|#Nd$qzSb)+-@(eb(j8g6tD{D?y^UP_7f78H;oM0Bl;zZ| zu0atDVQGpQUHXJmOyTiN)kk}$hp=NJ+r6iEx@pxrjU-P1MKU$rJ@-KgNvwo@!X=%E z{TO6955W26$7aA8`)$eLnsX7?KH%+GG(eb%&NS>1+x{<~icdYr6u<^y{bgq=VlrVU zn?2ptey_}g- zWSL)18O1?=*!7fTbXAAS+wLjJk^#3riJdI68l-*vgjsH9Ki5M(B}&%dCwMa;#Gl{5 z;mJIvU|mcL>z`J7t7e-}GGJV6v5=5q$(i02)epXf5LBkP&pu@f%V20gzOGokxHHFd z%-jVwn5IZD{EgS&j*EMdSuAfsu7LJd_mjDnM+7FbVTUP-C6|=--M8oV@ zP(nZ@!i?9&pBFyg$onEh#I~}r`L?*4a~rLJiDf@Md}geOB~5*wJ6hAYZI=KFpVi_e zPfAF(^oqsi%^Y+tsOhn%=6j}SL?{igm<*%(0ZRotz7o9v6wF8!A|pKUV)@od{8t^n zj)?YTqvHQ(kmQ03nn&iWfqN}D08D(Tt$>%Jv+2;&USux(j(yIcn7cC%30>8e;&5=&=E z03=_qRB?w^yFJGt7cz8)zZ0X9Uo;lJ3hGhFn3OEAxb$>!x;V6vBPg)-WTYvcl#2zJ z@^uO@0Hve42z26W5JTFo9dze~RO3Pmf%!i=^;L`J$`OQRk<%t!Kq>G}Rs(c{xys{X zzsB6T%tPMMpEOv*fRKNZY=kqs*}8Bw*&_&z@LBcC@1R{%&IbSM5hUN*Km)%S+3;uA z7<+Er(t$p*f&ihs!!xxIH5bm&Gl9(BD?Hc-%%l(3=|u%4m)DBBQUUIapczmYt|BY} zBdnl{=hj#`V_{ZZ3~#=gEL8D8mEfZ7!=^+-zaY+3GW%st)68vvHyu63D=q?+r3~4m955H+_rRvKx)5w^A4~VD) zc#^a|ox2#%sz){Murhjp5~^_-N_=7Vjq#Rb&=KyFqqF}bkBxu^@A&=oyfVm5w8D|o zo2vUP&9faK+nmzWJ%O#C5De%>*jW>t6IUP%(;SyF1~l2Y%>Lg{PWZ2jYI&R$1WdhlIJNdV?L#xf{p9ddvz(^CBp z^-oD3j!B}0bfL&!{<4h}^o?L38XNUqs1Ur zb-FjyoKCYseAaF$bd^)iC!&`}v%i?#Eyx-VT~~?elC9x}%ZuA3M)P>7z4L%smK&|7 z2Rb4F;oTPC^jm~9QpO{rE8n|Y(AQg7rS3;WmB$Fouc)6c#~cwpEh;bRad2g&tQXFl zc$~YTjg*$Chr%CZjwh2RE!)h3ZIC9*bzwiN`+%gsp41-C@=tO&rwtXaE0Wf;)2R-fs`I8^E=^fcIKlc zK0Uvvb)jt0Ppe$BbhN(^0pSRD|69#0aov7dciy+mbQ+EmWvY411Wy`JN)tjW?5>%c z#}W!%ffFR=ojPX?7^wt$6jBM|TWQt-=~{F&%hd zB32lXWsc->B=UgQAwC_%|00j$p3@|mvh*(XWRfbb{jxwQ<3qYAG3g6d+-XsG{lyLj zAwVrkbpt$KBbFnJ+T$e;5>sL>dT9&n%Hu0^CMx8^2c3kcd(-%=BefLFd#_z)-wccc z8(!j{gJ*8^GkiOL7XyzdT4J-wSTwdr_8GMXo7y8cZF~;9$iK{U9#_OeKDSzAn8)k8 zd>d*E;CS7uz~+?T&k?;yxv1fKS_pm|TLBgj4SRqp#pP|?Tat6FP}bh%i9|!&>BFt; zH1lZ^31+Z9E#iLuEWMfbhwk0YEx1y|<7g!sUpP%x{9zJR+|Gn(^tkOOZOpJSAboTG zER+9;EuiF0TkQz|D^RYY&35&xh9;Y?v6tt*&RQ1apIQ>80Z($uEj@5a;Zh*sDz^zd zxM8c>$qSktD1Wo1OxHVta3uPRiXgrQi=$&!U-!|H!NI72zxz?Ay^LMu=m~O-)y^I< z>hiX05z)Wk6TliPj^nDq6M`qox+A!T(vN_hzu!s2b>&Mr*ER|V6&RE!UDbSE^Q?Ht zKDen%fV`X=*-N!bdSR&?sw^DMkO&u2&Zrp)Y`&wl5GzUGoSBd-)~PGVv(e=QVwEp? z{LP^@JAfNOd-D#S8yUZc94l$o);{+#5^G!2p}eBwvuZ&?x+|hwZMr4)9^&l0GfUhh zLD3$8XCCT8Ex$Ka{(_JqACXBzrw|6!xXWM^AcvQY>XZtc=w;y1X~+Qe0gzj z_qIZxct26*!(`6JnmSGL0)`m1YrT0VjYP(oT)U~>eD%!FFsrc8`$(7OP#GZ&U1=8sJ)nLnKOmF^9CXJ^}+dDXRbk{SlD5DdzNixRz*hB3E~)OeMaF zAR-UUh6Cm7aWapGbi9k=P^Kx{j_?onu{C*x0fFhB2qXh^w!kd}??g_HMOuhCC%JPT z+rg!FL+Om-4hMVh=OCzruOA!wV6l}f$3L`c7;-sx;l&QU6|0D;Nn)dgrtXJVh>ZEf zK$c(@NC{iYS;qHJPC%qja;XEA3`M@ORccc0xWjFSm{}3DEq!n(R3+BYl;lV#669I> zp1O{e6eM)Q!abx*f2TI{65dbrV;`k(Y>U{6$85IS z)m9(INHSNUj>f<@SKIIdMq^58D|!=}07YM=xDL`%LZ4s^vNRzC z!+fwER&M<_!W8p=hB!iDw1O~2Ch#`> zyDfJAU^VGP)Kw5cBxBfmkm_qX!NLP@>L3?}h?|WuX0%S7t^MQr4)=0V0r=SF~ZV-u=l^M$wlq6ZGXr zag_;zI=ev@f!PPJNSl!eN8;x47l1*I}oR3lmhU{neSlEGfo^9N=x^xH($(hG)>gVF=;U@5@p-KsEycEfSCsz#T zg0C+b6N8lk(vCkMYkRsP8gL-pRxM zCKLi3&F9x1{{(;OqRiYvPda>2C%UZ-k}9{tnMtR1nzgAp*U^v}{SU}_63Y>5I3TF$ z#*LK~&SQQndIztSR8SFVeFTI^H+*Ob+x2_e&0oK=z6sk%=wigL`RorapllN6Ons~i zR^>BPED1pjA7{ehMfH$~jy2=7ed%uT?N3@t5FRc| zO#IeTD6S>EWdrrhV92p4x_Y4di*yBa_Su}*oJ81&A<@&rRdHMX@>LV-SGiu~-$h_3 z!D5qsX@X_b1e14tAv?E70B=Gkq7i)J&qGGwq(s-9>Q=`4jwN-q(LA`0q7bjPVI2yiLe6I| z=wa7v8qRg%q~!lEPx8i_GdOOr5Wy%^iV6c2P{tS={NBI_G*WkQa4zLVB^|-MZ`>pD z_;RmQZd8$MHq(m$$&rX!Oq9|ZRybCOz7ae2IhCCV7j1hz@lt``ni zqoBl<#$E2-(5<>-sHX0wX#rh3rt8)w%jJFsobyllK8wzug*c5TNnXN0;Z2x9iw$I~ z=6~ziLb#$-N}omXKlCDZc!o566#; z6G-oIK$9u0P2m<5V~-ISx*HQBW>3Tj=B=Jd5J6oyH`HGaarsZHcr=En_@(kfovysN zQj?RCCy95yl&}n+?Te54&{4^?6!s1^DVT%qP1{A{R%+}34F_Xm7f8)5_EK2k2{wA* zP+?vqo}u((r8vwLDwL>HNoc-cZ@&b%nIXj@se!b3JKQOGmEV0tdd>q^{PI93By6F!R{n4d<|< zFf&5Bmb^~g@nLj^=It%muTdB-ucR!TaJ_=7 zDm)?}W-{I!Q(}}ng~V(itvv(dcp>Q~LZ;&1??}t0wU}F{L0Cq3U8w)=3q5 zTR^(RI->CE!tb4Q+i*?B;~%F~Y;41hg^gdg2EA|O6LYw9&iv2l+5{SN3PLsPGd_z)EG6PZ9U#oLJ@$+%8?WF2 ze`73y@yxkzW01pUFhn#uJ4=W*ZA4{CRrF90 zlHBi*Ad>0xq^az2(QVNfxu_D9tV$pn1@9~abb394pEA=#v(;CgCRCHgWm(ZSWELB?opsu~4jaE~CaO)Dwb?u|ICm;AICbTNMPSmyz{ zOTkBzlG6(eIB7?wM8L@fXgUBg|L|FVN)r5&_{7OxK02xl(Svq)TXZ>lH9w!^R;ntp zajV{K|`+0582 z$H&8kU#=2}cLqqSsY{#UhS=i&q$7=uaCdG^qPxMztuOYf_)3054@??d1jn1}H>G;@ z&?w3zf7778CC2|OKhTj}WkE*tXkC1rSWoUUq+vvdWD7rrf`T_SELwYC;dL+eaj-(3 zA{7+tlG^U2-HN52-q&(_W~d$E8c$~>!(E*oy{_CkO}bFup#zmPlPWXf%tgEkI|=WL z&sye0KA!oJYU!W2_5YCI%jpB0sg-7=6v`Tcos&5Jv`7CIOPE>*SYj8z`OT-$*7162 zsa8i8iFw|<#M6v9d@zJLv%@h0*gFL!h;GVZ1=#j*yABlR=ziU;Y6R>2s9Gu!>Im^8 z)}ih=Bj{eV^jzkCf)2BPOSp6p8XOHm@R!NF3zMCcV%)|=h&0>4BJ<+0s9WuEWt*nl z^xOWkpo!cOElUrfNAT^0@N~Te@&Ond=io!lpfi;{G338mIES^qT6$8g*P4-ee2vPb z^MC6MS^7q?b3}`!XT3gWKj&zfEU+J$O)D}))Xq{;c!sgUjGN6EYSVP93|^7^{7ekx}h>xrJtz7LJ;bMk0z^q^wax-ZMQD z&P{HSZ8c)u44OUiWS^5l5FrzmBh=nB`JZ#OP>u^!48@!3YALYv4=2=ua17%mQ*USO)66?$m;4r@0}8!b=NFw z@Jjmk!MXrP8Ak@Fk4mR{=@flpzOSH4p}|ciY{yWC3%z;^HxMu_ND+v6dsM z{~<@>TZ}7m%UvWt<@Dg){@xej8u`UwIkLDRSJoX)UBpdo6%uB;AlJkv%mw7|(r5rw z+pN+G9e2R<-%}1h%h=Pkh2UZ@Nc~_B2FCJ`N8O6y&evxWOJ!5xLWm^#g9XtFKSC3dORQ~-T^dRgfWu<1#6f{t+fO~%ymK4!A zA$OVGt=Vov;$nr-n){={Ll+kX63eu!Idd0cD+af*1~G8kCZNe>Zx+$_h+{x zQnbRzPwu5H~lC<2_L-W-)WU@4QUYlHHi9hdWO_}Z~GJMvJ+6e5`or8=hLZyz)A61=#-l>@78AQPS;|Bw!DRk_=w z1{{_{N(LRjz%%q3ck@DHcFg5D4RZmsbuSorH3%>s^u{_NlFbi@ z08htkjilwYkl?9dwgxbE?h)Pa0Ptma7O}6Eb=RrG(%lggZp+gjUUQ>hF8_?CtrupOIv7f+rKa13I}@U%>g)Y^5~ES)b5d2-HF!-H-gj2TgdUJhS$JifYa1--rFzQjcVOD<$+$wS)1O_>oK!+?lc9Iu!%^ovL5;Skk^%OGy28~* zO(zjSE%Elqwx=>=R(Jjf%x>kMWljxZ!XH zTxuvk>uGqC#&Y|ScU6g*1J_>gJX~*MR9u`_xmoHK=U$2Ye%)cqCBoZbK1x1t2z;Az6ge|o>NwJt6 zN{f4uXH+#s-Z{@xvW7L?>9FhK_TB@1z*X|T4Y!S%tTChen|yOZQB$xX-*+%x*XX#L zYMm&*@7;}yAh#RYzZpmQQuE+1fl_hJRk09xP*G;opU59KNi<;uiMVjdp%rwaHQkUa zP+{4HQ@BR|aci65S7Aw@{0z8F=2~XefD7j_sR)MjS!0S|-@*!VA?ZN(pW!r2pqSww zOdA7K$Rd$J8SWXYsE>nTgN$(n=VuIky($Q|W~3v^`e8m+u5#v&Kj*wHi`><=I^>9x(Lz5A)4gwrFr6IHy-1Q5NCu>O zLox7HRG5w$!n{OplhBk@s@oy)UFS&{*<2eUHKvJfE4T%wS42NK$36IegkUH+XKWNz-JeCMdD=@i3=2g) z)pUO==n+JFXGRQ8B<;fuX^+9wzd>=)4!&Mw)!xRy`P4!76lwlBFiaD?a))-E-#n>I zc$VMK$Os~f0d)#4;Jm(5SGj}3g<>RK(m!jb!)Tp)L262<~j2v!&g#G7mtQw6iL z`&;12&Ft5tAi4lALSdX9kcL|doFUKOvufW-Vp?4-agr^_rO>hQ_yFHPmD@LV+#HQG3B|( zRWqWPZpcd6H{%!(BQa&PQIbDC8@$ouPSYWjh8hhjEGIYyFk1-B0%NwME2RXKGtTFG zuxZ4g7yTr_)Hvks&WE-n0jfzVQ^~DeA$aw*&#hf|t1{Vs^9zLV)zk>$QiAh=MaT;r z!;Pl4w`uR%jS3Edzq%80I2eRg22UhEgUIV$bc|D*MUp;%w8(7pF4PXB66VX&gqvOf zU2K5Be+XS0`96j*O6CCjMC*Bbn?mv5Sohe;gvrP&NhW>~>%wJCi6)%T*@DBlG=K{v zfyvGtch`3~YIsI_&b*4{h^<_}R{+cL8mzYhb4PG+qzLwTIuk`q?Dk&A3v(^?&Tb zIpCRxAvpNRUh(E=+q)T_Lu(^Sc-+HUBY|+b!^b1@0MkH!)FhIz!ImrqshcI<>#F+v zp^tW>cP%~GjD#ldXW^?yUnIQVAex*!T5|Kw;wxcr)BNVycIx!oxU9!3=VbmNkmk-J znX7N2V|(ld8I*z;<>^;=Or1ZWffP%2(gcyZZE`;?TIDk+yA~I+zg$GaMIE&0On)FLC6Tu-fgnqU2-I6h(WPKAEO2Vj`GWPQ@T<$Z+GsiL-^xW!oE zSZ%@>Wx~1CEHTIuL|Y0rf5n+dIBMPv63gQ=czMT*Mye37k|tk`udE8;JW+{8Rh)=Q z*hMUBM}cY5VP2<8Zg2!EN;MP@W9?6$Z|DSTCGW5th=FMpqTjNx)X6kdakeN_R4Rbk zQae4pE84^0gM6^aVdPbyDOSq%Sqta0+^v6(x|&=5eO=I3IVshLm7}8jX+~<9eTir> zbik5(2*OY495=%7mS>W^WR_ z?xtQ`uhxj<*hGZTbs2}wYER{^dHW~gCWr6KjIA|HidRYFv`5aAvc~MD(#ZjDL8P*W z3bp`w(%hiQb_4PFB;Ce|3`0S6QIN-l$S7@ju*Dk?9b8fm>IyUv>zEl#9OM%fQJ3tW zxG(}dRWxP#1+rjgy?A5xcJ|2yhJUd+#JNES-1%i!?m9xF+in4@<$tqmvf)Uxw#t&G zAu#Z}yHC9}%G%8mkZyl1tux}DNv=vML-8!>L3AlSqpY?YYb(Yr)t=U$_TqOw0M2L# zDU^G3adJVsvFB00YfEjQWcavl*{$#bv2fdy{Gw(t-e==+7tjjOGaSL6Qly4EIHCIE zpI!*km)|fbM-p?F=k)P53{v7f!-!GcBtqM>qRC9}iygVJjxDoLAp!|NkMHzG{pQ<8>!ngV!&-z?v=3n-U;*5kgDl4yZE9kNs2Su zXz#>=f1zvujYWE{+Uv0DaLd9h^@S3fdgqf;p-QOY5R!2&0}wm*FU?nJz#cW23C>Sc zrVG@>+_-L=A*n|{74;fqGQcG(kkI2Apg2D%|guKBXlvLh~FPFVl&>S6hy>=y%JV>Nyn` z3Y10cMTRUb*I|4=)KmKfkt`a4n7jBcyq&xJOFU`ud=}OcHT%!Ez+oUY|JKgdQ-=~d z4YJ=lL2d1ozA#zQ=t;e7IvrM6T?y}BK{yLWWmnUeh(fW!k-5Xqg5_}RD5GD*u1Z>D zA>e}ZrDE*!&nJXtRman{ZvtQ3*T}ny%oc|-LG6cfJYb>#Y|=EqyWx_WiYiax|E;(J zsJU}97EcH!CDFgp8fYXcbwJ=Rb9U2=;Zwh&2U`XE!XWK|h9^EbD(k~*`xu{)b1fCw zt*g!rxQ8ZQjFwSJp?U?;E(C*Oc!P^VsA=nxT^FPZ?%Fqamda79R36gCceMwnPSTy1 z>DRwCVMh~hcLsSJbE!hBJ6k55yoCh8UkwkYj5U4MrIXXkq8*gH(?IyZPAY)oS2|!DgOR=cPj5G;@mvE}tNFVYDQ1TFaMmEm z_4PgBZh#d2Z}nuZl)^QGA+85+U0S7i;JCA}vk35zY4s4KWaalQfjFp--4@eSi&&%d zZJjHZ_q4O=^$KKzk(zKUtv9Iq&PAxkGt;a)+0F`m{Y%-~R#jqXPPZk(2Si;`L1sF? zHd&TJU6z)T313p)G|g1YZyy~huHyJ>!vZ%{D!+7ytLVnah&w~q%|o2{&GvBQI7^}qkfNi zgGoMO9dJ-->5S9bHXq1-ZkXHB^!4FOSIR}U0Pz`iwHd%%c&cXaaojwI?pRqLGs-xA1QShB<0^B?I4+nz+*hj!hAeQ3 zmy54=i$+ABq=Te$&KbR9W02Q6YBcT7Hh5!p;N_h3M>8tnhFH|tj&q6KGZrp7I(4S% zs_81C4Itd+hHrKSu^t(9x~=mbo=Yim$CM?d!=&9_nx9}g*gcQ8dC2bR;dxywxvUQ0 zY?SjvVa>bm`P2GNl<-K#c)k=QNMnR4S{!sAjwk5r-$&WBMDkU2L0X;_ZC71_;V(f+ zmwz;~?HfFi*x8^xeE|4GY_um*SYahvf?&~4a_CQZ@<{vb-rsIr+Agc^JWavIf4#77>K;3MvBvQluXLj_`lkZr*ywU}~*^ zy9tzp(=ZCUcmZxtC$#RhjaC5{X!k}~_baI;59LNNpvQiHn3-$t)@PQKmd1KAtQrqa z^5atuh!fv&C!arH{WI`Cs<8HtnpSA|Rjb7^VVqbgWCI07r~CuJYYYd#J&|f19RFmZ zI`thCs?s$OF=&Ae71oDR3eQuSPJu%ur+3TyAP&04Z11BrO`C1s^E{AXD|&+V$Rhv( zkkXtQ_&a==k^W^-6Cvtfrj&UhddwSylhN~qm_XEG4eJFOjkrl?R`r!)wXZZXsw^6a z%?{7%Yn7%ndfIqd1$%Q#A@XwGyG^FE^=C}5^Lj-uqsk-%2;kREUl#SeGZ0mO0TG%? zJxjQj?o8+ztJfQ3hQuBZ7Kn{EsQ`=|u&-)fM*1n#^FWqXsKPZUt!D1dm+W<}gv&H! z9?7d!1e{FV{7*gU-MRe&Es6G;-8MTG(K*I!PhNo<5;Yh?FMg8q;y#~>_mouWJi>D` zeZKXKT!;Hu|0r|0gG9j=pmG=+>{r~T&=n(%e|}?S=WIg8hfBoWm;+Ej8vPWj{!IdM`T7z-qq^;@p1k{aC1ABNr6y;h=hwYzLR8XvtiUQaz1=k6g2?tya4xXymNU00z-Vk;u_DZR?!0 zJ3@NRussKThFjp1OXQ=IC|O{W4h6emATIy$JsX{h?xq=p&hFpOPt$#3URZw5nrh^r zIfJ{teY~u>6v#7TnXYTl{D7%A)E9Y60Ls28ZgAyGB8eW*(p>>yy`GL^`=B~q7xirT zT$cVYNAsh%^=1nd;3hv^OK3=ztv{h)WCBu|o0%Z;G;_9n59#iu+L}U?$N7mviLH93 zo%kVm3sy-i@9P?MvVi$EvnJ5ST6Xo(d+emuq60JmXXmLGt5$GmIb6_q!Qc5dOc%mm z8{n#|enPG0{5~#iRP$YT8EB8Kc6C^{Rh+GvO^0nVOj8(Nr5Y}*4D}hBtPR!L(ZHP~ z2FO?*!w0NrK@bWepJ{vF-;&@!sA}(~;DLyMrRy$AQF7o z5fwLw+b@%GX~iu+UKta(UuL8_Z*pRf3O=8SnCHxWk}g!^W+;}3%>;Z}_c3ak7CG!s zT{prou>%bIQ}PBAi}uwM#{$^(MXamlCiPU^_>yvCTBTY(lr!*b5lmvWx6iQ%i8bz? zFD?Ra59+mnj5z9!a5?5Wsbu=}hVHnIwg0#!4L!=PBvMfv`I_jZdIb zR*T)UrGXl@Xf_|Y84QbqBCS2x<>Z*czxJVtBNM8_%wyDPrGJ4PBR3qoXCU;VDyKH8 zmr$!&+_b15X3MFoBI?~J9-k&a%{~92Bh3O%och*EV#v9RIGXs0d;ovwA;pP$aUyAV zP#R5GnK<52fXeMH2E-;yyzmtDz$teg~!I!um^Hy&+&hagZmjoXcak(H8HPikp^!yhdj z$T@p{%ia9`szQCM#6zFz1$e~*?E-SBml#FQ7j2^z4LaXia#8$-t1XBkd zr)ELOl;B;WOp7<}bs?(|e&LB!;<=)y+)9dfZL8=-MneV(@Ps(mhFb0rutVAY=+P1Ui(zUnVaENf0(d%$uuTjh5~_OoKvHP8Lvoay9?~ z)MZb?(`_j?EBhj}MF2YuHkFli)kCxLRW>D+=j6e-H6J7#WQNe~s0ax*lzLx6hM7D@ z6Ok4n3Z4LSW=e1Lp~MX3>;z!a+MLs#?UX8%9pAmg(>HmkO>B7#k(3|y!oEEVQZ&>= z!D}TfZ-%=^@k}zBT!$8F;8OXnMF?{m7~lq-cj~i`NrIxG-^|{W{d;9g!;x){cGVWa zw>H7N9?BD8)5W4P3kzps}A~6%+VF42Nos7>vLCN_(vxRbf#gMJd>( zA^W!Q83KULD`Ud3gIRZg3vQMjMJ1qTD{eLH+ zgny^h~h4b1R8n^5Dxhz4N*EJmtVXs$1u&lX}_%fFbJ&LguaU1g4yBEPw$ zauK{D*R4CRrT?IdTu;_Zz}Y6rLbMGRaWrvi0QRSqewC8$@QKk@7Yquf z7Bhj*Xl3<=&=V)ox6g}hp*g{J0Mq`54`_X-;XC^1?KtuZq{1E6PDZO?iKBZ2X2*dz zWt0RY;J}Ose|lB*OzBH!ap!r&@V0c$B2^$-P9D3`M4^uGG_zZJ7R`BAros6B0KiM2 znhQtg1+RO7`uoqxUC<>;PWTUjY*qv<^Qam2shS7R zY6cp+J3Pda2JU;o_MK;y_=TZN2!jo2#VCm3Tl`Q^=?!)meEN3`;5tuyEtBmL9+tXY z7qIB{YpTc|N1*7sP;)v1KJ50dcpF%)p9VYn7+wAww^Nju74s$0Ilz{!l7)Ww%kGnHE887{C?rFF@VJdC#QcR85AV_6 zSEyLj-d&yb73G&=f4!sUE{|Ch(zi|el?aI^rAveTcBT@XyO+aHaM?+1H1g^zt+h@g z0gkH9!ybU@&amFUqeqSm6CucS3h_Wd84?1)rd))hZfTWNVw&2%*8k%Z4KjxL#MHf3 z=GGypy~xrpXvq>t|DY9fv89~NY?TN99eg2m@U{~K>^r8Sf&tL4^-;D)u4sG`&o~uL zU~%a$X>7$TnT=6YMJ{k~34F;g&thyKH}fh^7FE+M=Meog`hBis*<+}rV@_x=04vpO z3*yTkk9dl{i*vDv^a9`8p@YmH3B4+Tyc2(ItoXsaHK31dG@6WPmX*86Sz$&ma;GP{ zHIzB-f}^=T2mKTZ$CUrXbxPD}u^m2s5zmr(@&>jvoy7H-SkaSCIb6 z<5TGh>L|&+#Zu3J>G)i?k;>x8^-Ne#)%u|(>;Lj_LF0AtkhB^)8114QM1G@u5`Mh# zHubkQ?R$CYNF!bx+1!;ilXlfYNwZbnMFdV(VN4cGdF|EXpbwf7-msOvg8>BX2V(4& zHw6$|x<(?QmN^$`>C9pxfZ_aB+DvC<=8ZX$BPK?jl>j7gCb~h-4}66!{{zd?4a_`E~hU2-CZ-@CV1u~(OipXUtXW*__HOa5Hmr!;xUNJU>YwdBDo-SZE+jQ_3 z9Vz)xmMU4hO)GV;aNJkK50O@rQF%3=S5C z2mT8VeN?hCZH2_Vc6?j%lyeIO&`ZsL`tp=d=ulz(?7o8E1`j}rFF0-2GRP-g6tp?A z<4FZ>p*!%&L0ep>6BN_|lkMJb4CoCc=zbVr)k;6kXHZ2p)Gn9R)u~c~axGJD5Y=AW z$eRT$n$;B>`by{T9Y?3WO_D(jDgyTis}DsA007B%qcZnSwOawGsH}(gc_;*jMi^NWe;o&Nlpb%k`j#eU_ zni)ebcuT@T2BCB_L2Z>3fHKlQmkBq#|Gkr0G4x(o`UeF`$bHjMQJeHTj(g;ex?-lL zL{$VY0w|Z?VEs~M32X8TehuMbL0Ckv-|;sfq8!MhF}>D*d&Y*qRrPKuJ7BJz5juFu z&hY^!yarw!U6?6UFLa#C?_;pE47kH0Uf28Mqji$^=?!9nq>6OK;D8Yj*t(RDrxjSO z8^rp&u?qu9h)pR9_hzFUx$^BQ;w3VMWkRZ0a?audka}vVPN;&#>mE}opQ{Nb&Ee{^ zkx9M%LeZso+0fi}rHIce*VzdQ@i9O0i}*!sH52}b;--(omQAIXac8c}Hp-Gyt=%W` z^b{dWzmqmNn(-UC_v7qr=abiB-h5)b+Ye#3aCN(wY)| zF1|I|E1=fAAw&>R<^BH$ur|K^Q$5ypMuvyjeQp|puaoZa3SUfaVAH0#VPz0GIdt*{tAQrn=t@2(<&OuPgRyPJmnAoUH3p&lO#_ z?n`i_tSHsGUao*tu!KxAP?ve5&`xPI?CI1J$wQbI9Fs_`)O=fnfEOHB3B`N|{3qA8 zuk7JzZA(gEz;$oX22Br`;P}<4c zn~5~nT8XI!s|~(d4y(V7wm*h_l^np;*;VO?R0KzQ;*}3iK&|vubG;CZ0D{v+rqd8g zu)6uN%mrAw&c5XxqIfW7X5hqIuwrRWO`Y)8Y$2G@yw_)k^gAhe8z&KR!Y1Gv@t4{5 zX3KgVHoVYEAQ;gKA6jeXIB6sfAv6*Nqo!B0Fr%NwvpN>f%qXMJ(ZPHnPMgeNu)Rtm@#a!~3B$WVIbl*IQ($B@z z)7)L>S`0&Dw$8+SAa0fF-PYtFGVi)#&#=J=^$Ea!+4;}2UrO}OC$)a;m$V=}Wz|`; zWdT>BlCJ(z5EfAY-S|C>2x01k=lBR z$uzC@+Y!md0ln=C(`Yd+{eZgvU`7UC%UEQX*F$&l6l!Q?g!^U?ONmD~5U6r28<199 zEOXql?P$;_0qz6siO3il9S(qk=Q2)EId`ssBLEzudFXhg+(nLxY**N@V^ql`)`Kb; z6!zyBZk#O*M~Ri+_Z6c8P0?r+cLO?h3;6Y2CSG*`JiJO8Wj2Fvv(=>9^W-UId1184 z)_CWJke_+>Dqk=_xdk;>Kv$}*Ev=^m-SeKu3;1W%1EdrV9RbWq@KvcJ`tuLZu9<(Ep@uQi7gehB)WxMbb^UgQZsH^~9EeWvaZvfH4nLk!+7Tr$s(RdXWuU`a{F z=iSkodKV1bOES$!>~eHm)`XnSzc+M-U<~_}y&xGXrIRwsAtC&Lv1!DsBY)Lpcoocx zcrC^S6^j&&8{(B?&$TZOznVp09pOW5`r6M!(B8T99L)V4E`CM`Ul)6%r2Y zFF20dFTk2%VJ$4hCf{8tl>$6DfQ9V4@l!nKO3@ITnN!QDYzmUA41$5ysTbE@4N8*0 zO=u-Uo?*4=s66L6H5^FCH}XMs(iV?NI>QS&&c%UAb;@gvP!XSr}8JiYBv7A;Fz48 zb#BHbV9aqyC^2cP|AvzzV3;5deq`+bqNy+uI62E97NR<`oQvVM_!VqurE9^$NJ3XV z<3;wqJF=j?nunD{^gng< zQPobq`}{W)l0*XpBM<~HoqyHMQK?gbA+%c?ULbN&1!)5@$oD+HAk?kIf|@Lp4nk2; z)`pa6mzTFsNt7$9ZW|DjC?=efW@Fw%#QK?AnT)#wzMm2$h3!sghfo)9u9#ul0vjQd zS|7A(6-1K0jroc0-<*n@$%o4Lpn0q2W!m zm_H={3b!EZWCy%GqynCLm{d!rby=hKBWm-gcMJF~NnOnitg|DUPfh}TFYg3s(iGUK z$AW70_|L<^=Nm=6OXxefRNJLiVDYN$4s!^rd}!BpP#CB8LKwA`Ti@lQ+YNi>x;D0) zd{9M}F2fb`5$L92=I{&vVKl3z?gsWaYlJNtS0oEgSk-G4=3N--;8(oklox)JJf|=L zmQ&Dm?vS?F#SY+5F(QlBYbG!Lzd$+|DU9qwfOrS*%N@=3*1+SiLwB)V$uS9D65R_F zgGU~2M=)a9s%vLG_qWzk^2qg~-KNkinHR4m5-IhCx3uG{vx(xSm3Xs)>aQ5!IJ?5z`07Sf2af!-*EzfaTj^sqH0)D~ z_{E)ywIY`%v%-#e@96erVcidFl2EH^5w1(tuJnsT5;yS{z@|PG^}D_5>@JVULNxA) zsCcJMzhS)*7!p)QA8ATv90=bS%>CvgQ>kQmsqBh#3dmEJrWLml$|9X{7yR6YjVO290ie?7Ym^ICUvLhUEJIR%KgMH7tsGEawF% zo{?4JWL|{ymz|X$QPTdByn9^~%Oj+s7^dp&i9kTkc+x;X&gVUXiDUxh8tj91!fMt3 zQluBRu`~F7difqaJ&ceWbq}|;g|pP)Z3xp4K;B#h;<1jwq~~aCd^J2wIvV@IwM4MD z8R~hH5Q5;!5Y$fXx1&fJzEDn)6mM71vZ0Fzvr09mQnp{ls7yMLzvyY7S!ROM`ZaNW zKKHE3*&E@>bEB{p9TWm{c_>czLrPxOOOPE6G>X2_%llyn#jY&hJgw$j2uz1G%yvYg zHlgg~)=!kQDTXwj5A!sBEO5pd)QX!@ZB*CwDQ}neBqb8?E5d`aQhl74DCntFsBU&$ zz4{Aw91&VNH&w2~Fh_^CR$Kt|qLCMlA)|Heq^+Qqh5F9b>b05+5 zn9(qWQ8OOP@0CPcj|2%M>M|)OTtZ%gYg*^dZcr5n)Tg?4HSmPfQ7>5f=JHPu;nR%+#?U%K)zqXZVNf|SgxNfvKTI8h>CDD!o`SYV!5bD1WDAzI#+RGI=@-_Ob zm&tn={h>`~wg;{Qv5M!F^TxFt_3V}#3cjf%IH23y$ z%~^8Y0cY^nIg|SO#n1{}cL@xLpn&0xYTcx>5-17Ce`MuS3z_Mc5*bwcGoKM#kXtiQ zqgu={pSk%{=D5q#`q?LLCr>yxE?r0zp6+Hcc!Wqd4t3+adYZ|g$01}u)U|k7{Bn0i z2A}^2NDUvtbS_wCDQO%O#-X|3@Qtwn%w30zUVhNp@PgOW##P!aOu?GtxheYu+wwM| zBHw6%gm)$|z~P}ZK2?`~>0P5*D9bnC98ckDt9peHgE_RnK7`Jx3mzz&RF2SESRX#b zr7B^;Cs(}W3j%0@r8pU@TqU>e?N<9A%E{B%7X@ciM^QwGKw8Sz%h2l+J-YOl0frDd z;{XPevU{hY@|M2r;#4*Sg1b9)dnFYsFVEq*Ki4#e9B8^{Amb&LXCPYzM;z|@*eY|v zAEAhB^jh6!&2%Z9OReJNSY-2OuyB+Wm(|3)W~ibw>Isk4h zAS%(2nvwWyBH}0^1v`U?_SkoB$t}{SEVI%Zoz_~fV({a&O0P$gEY3p*65M(}G*5iG zJ=~_OqP0jpe6T2@`F$ia!~(2Mhfr&L@vso*20C&ZUa6eruS0$jPDHK0)7nj&Vn0;; zKB`s@kkf*w$O(^%f~m9&^FHpq)uF_!NVS$223{l3-W-NODyYAX%*Ec>=JE z$BT-}<7}2*UEEkACA12!f3g4b4GhZJ^RyHkJ~wsyXjDh{*V=ekGX?~f6z~Q*Ew;;j z54u}etgkQZ>opfjW?lvs;9E6gD!hm11NgY|tz0c9trd7py&o_7nWy&c4o^%Y(F4D^__neZWkAsOunLHf)X>^KqArn&L;2;tq6(22oHc z##0`n$3CO%BYsRi(ekwOX*928r=!EL#dgs=y{DO$U7;(UrQXWtezNop0QV2D#Jv5(qL zR-(y{qP5LrnTv;wfk?TBS#RbumW}^#XB;Kh+OX2J4m5%Ltxi2?gsF(h095T}KneXT z0ne4{^*h*{?#aM9Ind~wPJv)-07F|i@w+`pp!+#t!>3F*yRaL+yy7IYmy(ABR?!4{ z!&bW)B8yatlF?BYpCu)2QZ{;@iZ1B1MEq6Aco>A`+aRE5|4v9N!)v`!KmPc-5l9Vk zr*&(wOdN@y$KmPY98=!QQSVwMFFF7YIdgtpHkQL-xwse8V{dpY#{)!g1BVCN!8sT` ziFwCdyJFZv9?y`YsO%Xxw=0l575Nivh)@@E_J%A~76;m%D-PCM#Ovpwa_@wQw)ztj z!uK(JXlW}$*hE+arap;n-KbF-LQyz)sC`beD%TiPOf+`jjs%+rgY_ArgeKfcN!B(f z#azX7CD9_u=;Ghqy7ubqm_8m8#w8SW?-|ag_4;y4Tj}r(8xZq-5bT$~>fR$}Y#49>WXE8-Qf=v;MkGkBifrZURhQe}`(U zJ~Ca$yL;rqyx_+h@Ah$#JO5+hX1-}2Z0~$4qv2>(xBBX3_aBfgmvU>_rX~=S*Bdo# z?*~OscwGYQ`gj>s*^wIod&$R1D@s^afCdZzN%V1tgD04-i_4QgmUQAR$DKnYb*MjZ z%&Vxan7?!ohC(q8Y_o$ zJ=2qL^r0Zv{Y5t3(^)%{PK&2G3-u#M3gyHe14WWn@a-4l(&FTsf`W60W3jS49i$Zq zu3;G~lIPuG5NHf&)&YX{p!27AWt?5*4RK73mpBy2aK7)Y)d|SQAv>_J^H?R8nqKx0ZuSFnbpO zL#4-Pkh{?&NpU(ewGP-_J2{;ubDzlPG}&bYThuhQj_ns4JW;^446KE%CkFcJ{36)n z6}6vqMVyl+*L>_TW|%RVxjO7Mr@#jR%ULJBGlqA54iKyGhOao-jBiV8d^kNLPt-|? zCYaVkSxQ}35_G=Xf9=a8y@gIu-uK(P1)O6(AN7H(*z`Jw>u7ZvDAcd?2sOC1!0>#- ztwTrm#^R>?Uy(wtUS%Z|Un$D5m`lrn(Aw)}inM3G;ylTX0%H9F(z3t+Z4VAgzfmXz zqz_~nz}AF`wx@m;mSL$Z!t1dUp`>uk)-V z<1)DiHG5SbKj2Y=o5u9RNT=#Ppu8*(Arg^HH!~4wuB$H-)TkCM)37S)2=0Mcw^yq~ z2jj!HY5VmljIK`fU+H|GbG{X~zk4+$zu6^DaZqX_#CoMoC>zu_pbX1o{qb~=xC?qd zmQW8RF>Ls-ezQo;#Q?2Y&qZbej{Ib*OW9n#rRJ0V`hYS|c-8a%c45$ry%PZ8$sY(p zgOBdp@s>t**Fm}1Q5G+x=II+%?n$ncHD7!TbQduZHLT{!DeHV{oKHo?89&Y^ayL>r z+vV_v+hX!o`8{}?UO>}%xnZ_l%j6)x2|T+b>iW9!PiTJ>e{pwfaXCY2M>`?vGF$ok z_5(jMVbIKZufx*A?Ar#}X2+yQ(+$Dv6^Qsyyga&Fng4!nkkJY0w044r$w6hBvmBG5 z0>{IexNg^QC4Pd1?LT%S+_p&tH&uM!*!YV=0|3+ByU`?3PbA+qty{Bd2Y?M5@#9u zJ~>e2-Uv$iUDkuEObAhhJ=N`3K#`Ig)DH2Kb%N$MeS}Ui4A@BpJ+9Q+kyKIdU%iDa zzGAGb_HHBDk5@Q7a!X}@`i2+V+H-x&D3E6vX972hxejX^uLA=_C&N~cWk5l-6- z6BmLMyAc6t3Fvn93#^7gfMb=W)|$KjZGOy{K;A-uNk&L0A_|U#f?B;(MYor@8$(a0 zx`Y!{|9A|$3@}eF%IoOQqQoXoijaPqXs2VSj)*8ymkv&kgVBVj+cmaTA*1moHbbCX zw1dY$J5il#f64x?B3fq)cvAd#LINE(Dg-4Ub4)f`mT3lrkb1&<;X1Bx&)-I;}S)!+^u z&D)M6TwTI!x+l)cZLh_Rx-Wv4uPY>48;s?J<}g!*yPF z(>r9)Z#(rsIx66dY*(w%SF%DkCm(qmK<3)Wb(*|8_@{S(mQQgh!R5!~%tH(Q&;Frc zRNuVyaavD7*<|%5g$7hc+far1^!dIQef))d{lsgc^kVR% z8t>*Se6(Z}i)9>NJRsXkl?i*@5aRWk>xo%5Tg43))KoK1Vt=e7pgi@M}Z9rmxyEMnSFER*M1Y@0z42S&3;Q| zlE(~P3Ymi2oL>03B%YbIyw470%Y=87NDpMf-VGqBLA-5GWPN%e&xb9aD(+f$)ycT* zb-Q)1-M{T~X+_n&6TYDSmN}UHbq5s75$hUx-UXe1i5>g&fGl0Vkz>? zqc1=*=HpvJox~j%$CZ-A32ZKIF_kaIbY>zzgozsdKM=H*7!+~(*8_4g%&*W!mHved zkF$4jmS0fkTv(<9wQeW8ON;-Py{;eZI!K)kOc`)#1z*p@+I8dm#D-pV^cc)tOQ~=# zhn+aBVvZCTW4>Q1ud(f>faJ8Ja30S834>ntd8EA>m2txyMs_2xUK&(O7yALasbIhc z$LbM7sIhjpcRi%0lHxDdiQ7#}i-=6`foSp2PazsC4MwYq^sqXkjc(x6A%S3A=a`@9 z^U%7d9GMXhB3r$+4zh;`o1(~7{!e4MEyAXY?TVAC1iZ|WeCV?k~c&bxuYdm`)J%x003$HqSk z@zP(<%E8-Qp_csHMOJttPvOcO`-Q13>(JW_fH(Hn;xuUroA0?YlGChfFFvMygs!P9 zo|+k#nJ;k|;TyxjwecqXkC|B#R}t*fmMydMk4j7wl;#_16+T(QUNX*q1>%YHYkM}>12iJ+u2n8FQ8@{y?ef8m2_I@?@0DiDc%HbeYf&ZSjsRv(?9 zrp!T@n80KZpNUl6EjDhO77Sg1TX#4!>I@_xe2IeZ1%3<<$+Jp90EdVN-|1SGXen`$ z9P0OWcZW%7d?epJ4X*zgAe(DP9~fm$hT?kFT_uyql{Q<-z_aX8?PVN#tKl$zbN#dBv{_Yebp-F7 z!s3NyHO1$8^$6X5Bwko-s{N_cXA37*9x7Mw4;KvY^K%Ct@q4kDv6FWE` zLV14yLwrzUQXk%Vp9rX`bwkuTyF*=BRAPAs#o}B(3k}>1!#p?tQ5gE$PW28n3L0W)sMlE0{S4qk&=02?O3~pj3@fqM~}y zS$<3BFt8Eu;BYiRVyvD#G|%;(?l{}fX~dN@g20|@e=6DTN1PomhnxYZc$L9I4(8G> zy{@kZ@ER!@qAf@Zg|q6dW0AICveEY1kI9dHfpyhw#On<2ZS67=(3hl6_UvGV6sL<2 zPKbUAckx1K`C|BF@E>LCaqhgFy+Nu zc`1S(95l%giQLVo_m3Agql9hJ>@Jsl2e61ie5Nv#WPhSMhKd zusRCRQ%oRLm6B7n#|eJ~V{R{}K)EtHj_1M%kem;CW=m)A)UaF;kat}y@4(Wqcn0=P zQq47l09$odeh4L6b28LKdII|1R}kkqk|wjWo%k&GVjn_W8Lp9i88Sxj+Kp#xO)cyC2Y5pTF3*TRS&lZ2vhL z3?|{}=7mv5!YdcA*~h!_0^#x?$e^J=SSH6jZMXC{qSi&cgHMgd{eoeoO~x3rz%!PF z9t=g8u)OmZX;2+QH%H%>LLcC+U5f+ip{f|;~Fqm1jltVEJ(I5`-hJ2Wt zaFop5B@{N*X%g>sv!vjWDYTg zcIsXfD459BmDPR4gYN%(V2Cq_MvO3J@$tJJ9N4IR?>{&hTdyfuVjO_A2qFJ3*tt_D z^GaFVtY`9|$HVxL(kVOcHoZdr!z7>5)(lz3qi1 z#Ak}MOCRea2P`TY=f&VTcy$FXv&=Xp`>j=jKO7wEtUQ-NB+BoD2xV(2f`Bi^bR7VE zZ`v||7I4b4c8!^MWR_O>fC%6c}wqo+a`BzdEqN&f~x2bL^Yd?>uN$On)cNGqeLzW zFAyb#wPo>&A5RZkA@}5uJX^bUAl*!misbfulyox_nlq+BnIOOAQ?tZP!xM3GZ0Du+ z8>g7f#fx8bpYql)e9D!~`M9w}njL%$Kbu+V8$QB?%tnJJyHhc6)goY%dN$b>?L&6) z#9DPQi}VAGTf$DY3Cg9m6S_sE07KMe+OXj-p&jJO44ZK$McjP1>ocQk)79pdk|9Ch z`R(6j|A7zfgDY?g-GX5OO%!6*s*BpK<|z(pgUQ`u?>BeA5rpqfZlH--w=R8mrv_`T zmRvHsuMID$)$3shkJaKSeEjvc*u1ovWqa}-*6SqWS*EBtnSFf0mvzBnhNZeNzp0Gr zK^4!^st*{n+ptSq09Pgj=0B<*S;*Laf>(-KAOaG3j}g#h@FtTqyOh%7a3L%w?3Yc? zJSRM+`?%fiY*?<1=GbuSg2{6S75}u?r?E z(1r&p&^KC;%TcKm_mLVJ1C-|JCoTpOSrtm!z8LD)g@0$Iml47lp=TfOEU6iJ9eu~D zeyF!?PPH|w*AEmMJhXm5uf?#)vpOaz-+}2{m_R26yTe{9zv3< z+yPf;lF03UG4sUT1N;e1U$Dx91jw@+Mj3Ib^Z#ElAe_JeBEd)Wk_OOlmxWAPi0#_` z8D*meo^wu00%c8CuipwG$llq%2=zmDdADV{@*ipJfX%&oaQV>9>I2o$U|!X;Ih{=fc^MP(5n`IibMFd zU6Nu&>{dBsqSE&zR8OS-Z)W5`XPJVKGKY2ov@eownC--vget(|EK1ym8OQ_ z-y=}oV!&5U*XC@iU$M=s4i%XLyt=u{*S>BYb0wT!^WXRvIweXA=`P8nW3sN4T63gv zRIS_5hzQ(Q_7UY~=8-ra%1&$Qr|YWf;+t$SgCqs@L0>NYYRYtT!0s`=XFJi2;s*xo zVe-}TdmYzU%7rm(j^B(#F4$UsiRjMHQO}63&8zKB;RB2QM21S(f!w)+iRC)C2o*p4b%ri*pWD&|czkB$W)=|G@E6ANO|so9 zP5QP!IdF&gddKSw%GG#g9m(e#>=k+?Zb=%P(;sCnb%VkKg+C zwfKaVteAP$htU}f1Zt)+<&$$4V5Q7s-Xzk_w`nFHOn=|BAC7{s1Fx@FXVb^t<-gXR zq}mxjv+;nORlg~# zG3}9+yaXjR_$i(?$gCijD52-Z1h6WbRFmr~5;+oBjpEJA*`$v$)TnwE$p2}@VpY&f z2zp9eGV;pg$i&cBk5|MkPAlzYgYd6O-DKxUSPEY;y~w`c58&s2C4^z76l{p(1?ULt z`Mdu)B5!EM<*X4N<=279&uRLpw^&1osuj^HG9p5j5QUudQlTzq#j=YClsvXcs8B>+ zK}p94kYU*)BWJOYxxyXz46#E@O#%|Eo0J3lKT@tF~;cR!UZ596ZDW(kii8#Cgzp+$NzGiOC zb=5v}Hrw3FP9XzyM@n>8K@eQ|NAh&HIQnh=PE;U)&RfVv$I@ntpQb%?99}j?8&Y8O zJSAG5e`nqb&3+8bFs_m)zhTr~ICBg~r&~nd3rPSVa2rP>nbJ6>jC#@|V{AaXO8^n* zb6qlanu&=}6a<)HG1YeCLerZsMLlEHpM66`z?zynM@lcZ)m{=uis>Pd{F=fMGZ3|H zbISEjaE3u;$wrQV$Hi$EynR0qC<;mlYvro}A3Aa?W9XWrC0BjHkZg0pS+0nomyCX5 zY%tw1Kpv(G8a7Y(X9q$~KGc7!o0PIqUg3<}X;TYR=6DR$J7UcC3iek3-JH_hHUBiJrCXF}C$ z@h-cEfz{(%ehE#A9_6xuQJ^7Sn)1!+fMvw5TcP`TY0i_JnQJ%s?d- z?yCD!laoAuc?mlLIqS^{IINUD*`shMAo2+1P+0+b5G_RM#C{H3{6K~1#IDdZOU+IX z7wc(mxcC54o7E>$@Q##a%bL@hLB0{-K>9b#x2L-*|2#qj)}1so@*3`f0OtwX0oEz8 zn^v==wA=~MN^3{i-9Y{DdFLXy!-gb(6S=6?iX-&^qi)W(+fE=8MH#k?Z*)1XLJo5f zcy1-ZRcGsmDvWiePH5aj6iwXB$2p^3SAS8Kta32GiDs${`k*^F~VZ3g`T!{ z=b2_&t1Lz9AdRT1=d1NpS()lcPMzubK@iWy9Cj|5ZA7y>iv`!P*f*K|2AeJ@_S9Ss zdfwP%-XaGX=K*){(Dmw?LB&isPMx1^7xs_!jHg^g3?VbCJF4W`?K2XV+J1>L);}C^ zp6~T@q8K+XEP^+LPH@m^^P=?t^&0>gtj8W37PcmMr2QECa>8=pZTNh(Z(y!)b3DGH z3Tm-?kT8g7SKY`0q4i<=3G4Rc3i+m*Rs#>um4ctmDdJEJYxpITrQmBjwFzG@|H-Z2 zg?8fnVPuJdur@yzfV57pWd|_f{=M(jrW_ohUjqewdUb9#E9MqZ*zb#fD1t54{t}HP zge^5LhH2KT5aD0-z+xj)4`46##w8=OM0`owPy!~w4Jy_H@XBbm1t-XUffp(pfNqyY z82y(MLvQ?aY_I$w)8|h~jwyORrwVL`VE#vpL_I=CU-d-W-|KJR*o z9QV>e(p_Wh7gG+f$`(RH;ERH-wk$EVTlImcTH&l%_e^Np`%CkOJ6`~nr?G2mfstsS zao1#pt-hW`BA;HT{?mU;dmDHWCL(Df-fdbB`pC=olH9IU80`FEQO;H}&?dlh*l z5K{nE-*5WAPKXZQGi<(rqnx-1u3O}^NYHY%d^fcW0mxjnTMOSHn_#t4*H?Z+UV5do zikLjP8gUJOw8wb0th7G-MPjKaDBlztL2$*9N80LZt<}e^FuN6_lXqHIBvj9ZWi$Z! z<0$s~Xn)B2z@+K)(wIwB=jK?}UAk@NoP%xytIa9#mXflFq>ykgp~=#8C({LDg2e47 z<82w9w5%5&AE!GZYGcFfYYDZ;RN{U}>J`WOTyO=Wz5&o!XVqb&jGGKsQQ^S&%LF$~ z$ad`HJImGrG5^^wKYrvJ?ZL09>|Efk$(r$T^#2UBaGdvq>luq8vg@d>4 z;NV9pV)$!!xZa6P2&=v6l3!>02N+0d5Hj`=H$PR@d?HJh*il$!lM&SF*f%(J&Nf9G zLCr!#3x|Vtp-6o+p9@H~1Fi|PRdynN-Wrga#b_=$D$zkxs7^((_=D$VT>`$hGlw!5ku z1u-hxmT+~7KF38vj2|=;WPvDHA>&v&Yd+b9mMlTIo3UjbFnSki1jOLExjFSP*^s`Y zncFIM5k;izXy=!MU5f|;j_p2;wLNgT0qL_i++Y!mww9sa(%rG0PsA+|_3l}1zXY@s zkTN{NhLK^RX@|aVwP12=wt0=E8fPt%lwh;s@L9N>nJ0~;RAQRC?V5Q8 zz$(CiJTOnMf}s$xs2d34p8MQ0T$b3)vp$;}(wFzcL?0M2PlMo*Cm>L1Tq#gega7Al zGfIAkz0G4?;!0R&BOg&;*V1`}+L;cVaD$@-2xcgm=jfE`s2z5e+x(}}zODq!>AKs_ zfl1%Ccikg$Uun*&5Qzf>rdouHwjyUQY`egM5pBCH2+rGCg&zwqASxm9k2H@OH0*z! zj)eOP7R6deBy~QpcArTt=-n*3L_itULBt*m$GDqEsiwrkSifhaXJ zdlS=fOeL|B-`S56M@QVFzYqh&!JqEte7M!MMwAIsW#I0?BvrJ? zDHw;9Gq9+?IfKykXv~4v(iofxgFe{^`yIpgFBw$uN!>KvIhqR|&PlcIF%a;fL4c*S z^cmb$xZ>Y)EYKw!&wHYBW04cOTj^P4B=3a2bRn}m>+`IOf`JJgs`CSjT@`cWM>xIai60`x>$n7lVPGEbcl^ z!$X2Mz4nH8ApU|1`rU^=^%$OIY7ao^dDK>aG8g1WFcDPR+#kyxST}%+N7o)Ez)MQe zi9Uje(d_mlf3;!2@4Q8UIBpZ(0zygOO6!$>{DFv+u|nNPhmIip_rx2aq_g#Bnm~*HhGkbd zA)Pf`r}e67fhtr(fBnf9epj`DbP{hjT$i_#r_k^%n*uP+)l;WYR&-)+{?Msiooo?Q&AxMggG@j&2aLd3qa-He(1ayEMS-0e|e6%3+2R1YV6-mzGDHK*?$%Y zj|G-{*db@BHCmF~v7&%gh%7OT6SsnMf+wT0c>>N>F+7Fg5CxynVcNWDaS$w2*Zc?1Quoj+3WldAyZ{gP-rl619>iyVCuzP z-3$_7aSEDB4)MEvWmL8{@NJ^S*5!b;lS_dFIIhK8P88gET@g7Q1xe`T9XQ`qVYf z?bY9$!j6=JfufA-+Xlv%*Bu?$)8t2bDW`}p?@`*(A~K1GM6i@#`}{9M7EUdpVZlh6 zuc&tzj$tF7OYE0uBrO-*J(*olXoeW}0BC#O&kXTprIrLeQZL}KXz^ygGnQixIEP~b z`m&Xug@rO~p}u)rkM~J?Eof-*@~rfkqy+UhuUu?BG4bS>$`>Z3bfAvva)tm)=}S+C zNQSm!c6TN%L;zqz$%cUCjL_#x<~jbOm0606m|gU{h3e5H9d$p@C5}Quuvro$$~ton zo*PLZT%;AE^=djnyU~?a3o(@Oz;fu4(GNE5P_Sa>T+V>89S(O9c4}801ztJefL1(l zZ_E#Jj`=NKAXY0iw*86XoC7~oSHep3xx1um^fuEl&lMH=b2PmtpErGc(NFFm;{wd) zzBfQVz39B41_^tD{(For*&^rrQCha;}U{4$iXO)yPYnx2)2ME{oBvW}Z@v?827S`+1_{}I{!myZZP}WS5{B!o? zq18ZJsBAW1;gch-SLR&C?&`!1KkmJ2K)fsYP7bFQHsA`U`TL+~JGhJjvmv7iV>H_= zIqEOmH7;;Jf!1-m)9-Vkrm1{DD+R6Z2+>vsg{FK-G;mq4fc{UvZIks5QE#+luN6Q& zou+|8=~Idax8bQF&{O9~Nt@)4Lb42*W#O)^2@LXIvd_x1=^`VMV;ABPi)|t)?W)o| z*}`5UTS6zsb5+VHuod325lZGs&m!w;&T)Q`#5o#qOBr6X#z3zr2gN6E0zWt}TP!SzKgl(xMudyII4*@2=LjvAw zAN4+M##5!k?=3+=IUh;P%qzf{?WplY-^q`#uK0AEW8}fqsa6xFOubN_fXr+Njoq@l zW^!%#Q|J`t8t1$*uam;0fqeT6K6pvlKc@xMC{< zIM!Gks5m8QX}pz~W!nn~2Vg@A9yS(7)J&Vk&Re286xS9%U>dtm5i5D#T>6%0+vN7J zd>+%5#IYufhiiYD-gKdZnii_D#w(={aXoPt5eoh<+eb^pJu`ZhMf~#*EDyH7?W)S( zzO52X!ML;-CM{)yt@F|x8vhn^7l~KqWSgbV+tWr($Od*sIW<{??w_OSWvM`O!mC&4 zFx==Z{dj<;==1AR1B}8dLIs>by*%0$;5ina03#1-Y}9z@WhVbPDe&GseU;WPxKHWQ zfGgSS4&n7l9GA8ATU(I^JXnfraF6D-HI=InCa6DdJjAWrR`d9)dHx< zE6Nxk_855C7j`naYL7Zn=_b&@3TO{ASY+!QpA(1A&Mh`uxF6JDzuuK=7nMNL7$Jui z1KGO-%LXux<5CHIoAEKbHxA}Jf)-jzeZRX*_Rkfy2%g;`pghZcp0zPWvauPIgKxpQ z%9b)-K$F+$rn9|}5v2&ljp@7JRN3Mn(6*{-eNx45yD*!oG1TPkYiK4!W>GMUXE?gc z_-8g!Zzo+@YMI^SI{TCm3uIuI97tY!Wr8E z*I0g|rm)=yv*)bQfUY+c6u9d30!87n;=PGG_3;U5XmH4yx3UA5souMY|H--CHjc5n z3LXo9k~t&b$I$pGeH>tk+I*u3xBv1gvFM?#;uNbBNNOZ^VW#QQKYVyMIQxgMcg>}O zqVVUU#)xitSF2x>iwSU;lbT2z)EWV^sKt$#{mM>dhj)@JUB7ZhvX?m)BDi26mc#|B zVR4ni#a=pk2NVe?Y|E>ReL@3(Djr>S1G@Nzz6sCkaORe~@Yc9rhS)-XZHsN;PE?S0 z915g47mbGgPvtbJ;oWtW8aQg@RtKDKcd%nXx^^J zsr@rHEAYeicgcc2k{exA6q!W9h!M6u22;2r>BiZ9*@YE{5ak`mpm?W7b`2!9vkg2grG=IknqsBmY0qKF3h zP*#?Ko$6GFEw?tqCRT6Ghd+ui^xKno<7<4{USIe0;1p>;4>9+M<-d@@WC3)9d<9TQ zPMS|JiqAK-iP7h6wg8*3LPJ=)lL*R*p26c^a5z)>I)$s0BEG8;i$@4|#(ZWdrtXT~ zDA7LAPL%4aKCkA0VPTK>=-Z5r@J0zAk|;P&v5oK4w{Qi6o=C*I{e&r1dzRmjTc`(2 zewD+fUqSJ4N_MRRsGs_G<#ueVsCkiDsmJr>5TJ+R5DFfp%lG6`tZ1>6pRSi&m%JQ+ zrN%y#C}wrevF9cusQ3np+4Xn+i-`voizPCJ0=N^!VenFm6h;Wav-jj9ZKT_XhO+?hEgF& z7`Unp!yqVnP?P~N-q+Z|=O1P^IeiPd;eTbRPz9=4-%W^<5b-+q;;Yi$Q^RB!@uz}zuwI7MTaSYi#*%MyGn+OR zj!`4;y0cvdFtWW{%Smw1$ue#1TGiJ4(ACOU1p|MJNY@G-w{>(V=zyzJPP>96c{*Za z9eVv#7|kvGp?ymrNc}9K(}7p@%?gdp`tk{ghnNgh0j2N3x(A? z88TYFQ1X!wTv{HEZ|t)r@H6zG59L@Nv^2jt|MHSt0;2B8)JKsg#=k8RVG_K`Ar-IH zwU{bS;Sl-Jtc&^e61^_8n5+k(n+cm5Cgu2d0G>%z82{^M0bKZDF&NyFN%gC09qYOcVoL8(!uueWA(!@LBHINlFYj&mY7?;5Vic7e05VYUUoiQeHCmG>u>bZ_UA^iLQ9 zZJMxI{=Yq-G@^H_by5m`qjJpmEJO|)3ws$9Tq*ahdhDg?B$MsV&i_D`+I7ZYw{VxB zk&zYOmABuvs@5Yu;^lrJ$ocMOU64pTQDU;H?w0_AP3?vTa`|EDgcJ+mjUYOVx6Elc1_=b_$G~tfH`D>jnY zOkxscSw!f}mJ8Vv@T{gei^*bg9!mt`7Vf8eiPe1BhO2q5VM4g4gmnQnPgv?dEZsz+yyxQ9rUfQhPACAyCAn+*U zb4alce}8WaB8g0u(Kb5ELYm7GG`Gs?#q<9h6jh;WAJ@NYD40kQg*gqF-Eovne1x-z$YXnOPXJyXtlrr)vJ*9ziGY z#hKGFY^2!BlWe@`Ff)y3R|sb33beif@$vZA!K>~$D@=6$qQP3cYQ2@>5l7PCX;7J% zZqWHs^6dn!S?zv~@>5#!U)<}*BgjkMTK3g7L%#d~3rO0W2TWX+fdvoO`c!*qr5%0a z{-|ho&5SNewObUTTlt-4QQ{|K&b);;|0Zq4=U4gO`|`_^rubfW_}1-wqQ0r8%e`^kJ$1Z0= zzO%1L!@1gN0mCr1*7TF4;&%JCBcrR=0MUMy1{485}O%fY!BA z4p~?2YO}dGHZe&>cFU1{NEk5}J>8VL+)o;i99~=INV)F5R(_^a$5AXrq=K7;+B^#Ifd(B09+8Z$1XFW7tctfiKw}n zeQ!FE8IA{L&7ZQOg@0MIfW&^6U~^>2a~wcg-SC{gnptq_dabp= zF*iRfP(#wpV3;Yj!V{`fsKRCASr2eUT?@9-T{UMBlg5E)2gPpRzcxdNf1eYXn*OPJ ze5KczJKZ3J4fq-r-VPJ#cXF#D03PttFl+~X?*ZtM5DULwr_QLB^7$p(#B&}IL@GtnBE`2+Q6FrXM4DOW{6*f|YVSbHblLdi4Xgt5dHN?x$Ruot`)tUAs-^@gl_zHzJ-mR9`SX(p~Gs45r z6b66pWD<9!TiYu|8=2qpwt#b6Q!8EzPLJ`3g|VDfp?KF~sU_i7rO!{dBiH){PN5LD z{Tm{Gw~PBS#n-3zfaYXZ<79er#6SC$Fbabl9kQ9d%cjfa)2<||_I@0in%0@C?xI+2 zlK7VB<`I#+B_5e{mH;oSBe;gFJ)JhtXpr}hn#V6|*@0*P0N+$Crr;zW=ILyg*4hc& zZ@gasTtyO8S60e)=_Xxap|;B*!M)lQc8W`|;bhB!F!hIvlg~SFxa4DH(@t5B7g9sd z0=&+4Zv&X?nRKupu^Y^V%j*aEK;)ZR*Q6OZpzlvt3_Y;@?fk)F?VxV*w{VX(g6rl z5P3Lv)mw=}C6qkc2P>9uyr@dYj{00>GiguJ0-U@&Bpn!-E?rR!{ym({V?X*#=iws{ zGUq=PG=|e+Hv#bN)+0UB_6UR(InVa+l+U!X1}7c-^~_=g_9Jg@K)YX-`^=8VA-#En z%*Ec&vRn(mMon2&bDu`e=r;5K&qc@8xQyUwgQ5_?HLWzyDO=h}i!Ct)$BpFY{ubrCBhuTqIrSb5b;;zCuYV^D zAJj*EfIb3YFC4A88`3*UN$n}64&-w>WADL!IxM1@t_HfrJ&)t{;#z@k0JP<1Xl$Cw3xB zRnsOc1kQ4L2Y&f}r-MCFg*@v+4pK!5rqQ^ne`d;Wq~LKUhTb@m9G4Xh_92X)Up3r1 zp}aVcumcg0DaVl_$U&`EVE$2NN=7D2vfDEp31VN}gT_C(fS4M;7-B|bif?F8jI ztT`svLgm{E7ZAp7QKHElLQA~xRZr^VSx7w9IdHxxNlFL{a|;oQ^UrQTIRFcA9d`Tj zZ}0Wx^qCtiBa^#Zuww_937n%bn6CnpdeguE^cslY> zs>Ha`z6xkV=Ax5|)R=^X!_lS4y$=~XeF`z1ORK&qF_suF(o|nWR3o_#ot5#tRl=ez zv7biVe4~Wz;5?^P_L^k>#*MfmT-xH#GZ(3ZSVM@cdW5;XK;H55J$$ta^S^%y4nf{@ zTnW6sHQ4E_+!On}a`Yjb2UJm8p9pvmFA=jG>U~zYd0PV^~_)Abe#Mi3DtO99nG*ON6K0r&b znM47fw|Er%oyk7xX6Js&dD@&KarS!>qzM_rjw#Sg^p>4Qlq-+aPg)K^Urg@$joMW~ zN*nb+L-O==KL6wSA~tt`$`fA4M#s!N&f5o<$TvQGpc6T@20we(O+de6O1l_TdP}5H z@1M!!=>J+zPPY@LfoS5id(gC`9zLfU66z12%b*mu83I zy_P?-xaSldi9>X}02O1nO?rWfc$fyPLkrVlampJum+N^>hWznViO#_U*dm}wec1f+W%>ek*`=z(Ov*1@2w0t|D zDysk?kktT7<-cgL!aJV$dYUBU)xa5JQf8b?lir@*w(K!NUY?ERzo#2yY`@XT7WnTh zAaHFI*x^Z|?7?pk^>9KD;;L4;)R&u(HKe^DPOvSfj*;a>kkn7CDxkcUx0}|_fs+9vx74ddK2+dj7;lB&7Tu0{i_X*w z#bp?)NqZiIYAY5wFr`CI6}queQ4(D)mY?}G2VccBn`zh6fDHM9as*L~th|ujSJC-t zwjr+XMEG6N#hacURziB1aX%IaK1JuTw5s7od!k4>Xv7>`?tZ)=RqKVn%vA6T-vdhWZmr6BVSx&v-vsz8uB{q3upt=|X} zO1Td~L-hq_5V2%gn`ix@`uFfxNHy5oFys}3K>mrKoRQFu6QF1%NER$8?o>0UHz`^Riyz*KDy z6A3YNug}M)Wu(npbbW6Gf)a>jVHTP*gK*1ldpBM$tppSakX@ovkDYEW8?NW3@kpym zGg>$iwlvIZ7KmeJ^HZj-1pZuV?87P>G1%6eM!bL5bUp&RD_hrZV2SK*2-izC6%W7) z?#brg_-gCXAMfxEFH}k4eJA8S*WL(T0!|l2B40YzU;FQNGJF~lHH{a&(%R9=cP~KW zjH%xrc^$+isjQ(q=X10^Wk57yNC6Dmxz*m${6N@Er@H^R<=DuGbG7)!XzO_QwHang zo;l+@%k+OOF;Nv2lWdKIt(YemPT5CZdl&ts(iL5;a$)}x0Kf!C%FFuYeMX4;0{T1( zJU&KY3x)&@5Wmmmi68X#Pu+Tev8#o;o|>U2<8*GRKLg8Kc(k_1bn^U$a{U)+dF(^y zKT1Q`PO{#^;%3GJvIv2auBHMQBVP4nc(&+|7bxhYm4+8NmSd$gY-!cf? zsh-^a!lTX$_dD_TDbJ8iXj6+hHD^%GHt@-|C~Zy6989cGncADK-U`^ByG6h}ZpkRc zUUwlc4B_BN41@?8PY5Oq=z&{1k;YAVKVy&BCeQ~cqR-;=txFKa1in_#A+F{wW{A|6 zDt*pb;yd^#dzfIwQjXZuoj6o1QTZB`c&}v0f5ldG&6GGnkK}o@v>x~2|9o@&=<5+3 zZo4O#>8xaKr4^}p{4}4bEsK41Owp?f++Ok-=~fH_vOTa(Qd=?R5e*8@l0d3~S>nqb z_c?yc+^UA;Pq;WXA%E}7L?d2%)P3*%8|n8Uho3MeSIoDaV(1DO|6 zHwD}AlW0GTCzsqnW`F!^(UDEbYBMl~*ZjQ(t8U#&KpU2GFS^~0a3^6;oJ=a74C{bR z@;weRDt@jl3ytDry$|U!Kl$FA4s2x=dAM##mui*1Cr6{L9F=Nv+?v$8IRtWl zQY+C6Po>KLOWQ{fgHy8oE=)uIUH#H!&=D-P!62|!W8vVRy;PrT&CEtbjmbsKWUH$t zxDd!Kso5@s6z5|yIa;FS{#gs|6pAD|X5%Qu(~rET?OMu+8Ao`>9jfRgGr=Y*ToIZ? zX-fy(i1q%LHr!v6M z4Ft!_HgV87v$FU}?F%U8X*%xl2gaC=xJrIhqy!t% z`R(ZSWFX8$$Drso2rt?X2|RUmpYhfZwj~hk{rzZHB8nG)fklpH=!f;XnG6}JsG5P-HvQy*SRI!ab zdzwoJqkO(cHgu?D?q2qKEa-er0m`B&yZUCp7tD>oeW-6$)n%yeR+P;|hQU0RAgy>m z-xjwU5>N>babH3?NMCszsvNs@;Ff@G=hke+!1ZTzaMM&A)#ue!&Jw65=n6a)Us9Zx zxf>($zIMEtix&@;V3|t?`}k9g7@OZz;P;X_54!kUG;=shME+t;H!(oRv_ubN zILjwtQkOmPs+`~{8nXORLh6?1JUUa(VbvmpipIarLryD!rm0I0(k+Wt!U-Tu2%KA# zI;~OsqpFhmCfE06-|75U_x$S$R`pE(e0kVse#n6jmf=EHeEUbihLN^kkpGx!mfe4o zO&buhM?t@T@L!{@m3WT4cr!{MU~6<^g4L)@4#wNWl2uZo?eYZ zz@n!lOUDY3!_I+FrVEe0%e=5@B%i1xx01Pzy)EbBQlc`OO;n!$x$=g@ZfDSKMo3|qyqPU zmpG&`VxLM%q?wb$zCV7&%-&h->w*1IwM9QW&d2~XCG@dfNo^coDDdR~xn-ZYJMNQk ztr+^Z6WWTB{K*1@s)|s2gbS~;ww&j7Dh`?+$$ofD%-pVtMj!LyZ3q!F>>+GDYK(Tv z1w+hd4aRK5Im%uv;CL<`d>m2>P7Bg*=(0#C8ECgwpOrY&7Z!W?LS$x*s$pt7FVR=s zr;$2!t%ip|Ruqisr2I@4v1FFJN5nJFFi)?as+2L*THW^Oq9EKrMB@_4pY&giTxAUj zl!OB4k0bDPA@Ls2*d@r&ieLGRm$iwDzc8%Fd%$PJtYcB6a<&L6bh~kwF~r(qF{$}P z$a8=FsD$5B`bm);I0_*>qNasLDW+nK<6Mq0=5t9GNa5T9*vrpg<=@-a`fwFW9D401 zhV_K%fl`cwbegsblznJV%IgW6gN*MCC8;3u{K1s4Vyw1Ze{xiVv+6;=dZ)0>Q3Kpt zoJYMN1WUL$lRfgdcBxsxSGdu;%OqkVLDO;u6e{A7-Q7jfh^y8_>=Jj=OzWre*rRGD zkx>Iij(d}yQjHUadL_-%29<{Q65NFi8arE>Yoi`rq~SP*)|3H_zgt{*=;s3JjdFZz zoS|jr2%`zgyw%~b!Xw`C-X=Oy-bp;c7L{xg*-l#hG9G_RCAk~+ejtIz`cRaC)43Kz zg>)S8v|_DGr-mW#2VyG{3yTe`E7*Fzg{m)caS=sZf#1rgX;7?MgN_CQ;LL^pUBp_dY#Ws827i;;LPGai_n!D* zbrFl=w|yzDy5v1O4GhB3{cFXBbnwKO$H;PiZ3a8DVXy_?;i+dyW{j>+53#bwuZ-jt ztG#&@&@7nME;i6gr}8zXGC(hZ&UVG7&$$FFL3Bv54VkgqvkAkvV^6a+FC12^`@Otv zu-t-&U*pg}*CW2+jBwGdCz=uk{!ey?9|8nn53|FC(O|BR9=C6O+x3l9pkNU+WV!|{)*%b-2hT?!mF$`2Dn%Gq+g&R(?kxMYv>u1Vg3w}Hkk(H3 z9+iIb!0E9bOuh1W6Vbx81{w}1x_dM7oaiFKqWaeq7`dg1m-q)=4QSZ6fXF%EaMgVr zw=F6-^0`Rh-;3C-YNUKWmyflj$Hfw(k#5>h9B`dIIT1=#%_qA&5Ioj&C!S)`iHCb+ z$2V28;vs`!!X}*9=3M%zBHbg0M2yFV*_-~E*oVHS$TGhi^94}gvO?-l*0V)k9{lQX zNb`y5eAN`d7pTysbn~m=Udloh@wd|o9H_C={Dv=8Jk}l_)1%R4XdavEq&ekMs0J~z z4j^WWeIpb8+cym%KqlOUXO1iFUW!iO4xj>3Wv~Q7P(m>?7hWCcZCe90nQy45*g@-GUDI`qp3|bm|ANb4WnR&_FHMW2E{=GQt>9FQQVV_UPJpn)5_zmi0%&4Z6PzH}aWNaja` zO@#2~cx@C(LZ9&v*^>M6SS{1h6C{6qn@)yxkr*WtssFQ88NFMzre80ejma?0{ zfh)Yw04kr*oW08Ih{-Q^rn4pPnDT$CL8R{z)$6v+eP-}fNJEcpH11{HOG^GR>q!U_T-#3C@b zZDU|XlLnhOv~X4u?Lsj|@)UK{Rc)Gb*6`&a2~0($?L2~qP)JvO6s?{#3d@WQ=M}?w zu?j)CgeiAFY^96MGzxm96gU7~ogXN+htVLS*2~H(A@=;z!`|Zy)Nb*gR)S!+)0tv8 z<$F`U-Hu^>6pZZT3hoGfu=(fx%{(ox?wnpmKU00u2i2*Gbpm#VH@zHzN$LLf9(Rv4 z*t|u#B(sjZbDroT&T^4xuHvoPsoXSX8=Mu~bXMk^U@KDEdtcy7PhNEIgBgye_g|6V zoNV*|v7q?m#rhtvg16B8<;JL+*|v{(YubyOKp9nDr&$*e%To^=sl*+p2eMPh6OHN`5pnJJWH%uyLq%V8Gc=<895nGn#mhO6Y^Q2d!0c zn}`{S{y!LZfa*a`?Qu+K`=pNQb`{S~TW7X#&GlW5+3FUiKMy!MvQ&)Y{D)Vo$H{pD zECBqNsB=z8Z`bX}Gec%3GYHz$Cw9i=(Tq9BP_RDjh@U7TBod)b;s21JMhgpn4JgVF zPL+lNdAoXloU`FP&T~m8G5(C?>}90Hv8DC)Shz|lkkxIMV1y*!rQa0sk5=$1eLF=u znsR&j)0N$b3>AR?=AC0=63!|_gZQ*eW?JN{1&f)F+}oZtoikbGnb_hH1k+WdwXb8! zi$c2Kj(>f8)wC1s)ytp)bY}fy_Ziw>G(!T?7x_6Mw=uOtx=W~NQy`V4=BS}yu<;xV zQ3X9k&b*oELl^Z`?wXo=JoGVGZ&RGOb;Tv%fH<+e{NqGTRmK@nQf@(%@M&rTy#D5u ztV?vvm=^%(EnS}> za&68FmiT+R0s!vMaV$-prADmVv@;6I7xL|CkbDBpnCFq`?%Jp#G4jbE$xSp~o~UX2 zt+e`PhQ!^_f%0Ip#^Zp2#E6AdJ^hsms1OnYxsa$Qa8WuL<~@6rBxp$6_8#g#iA)qWcFY@PDa=@&~LA(4|N4+dVUl0Y!zr^(dt-ODYMymc~E-5jT)!|=Ug0hy$r zkKW2rY3`zCnD2RxDryQZ4l`Qg%=yGTmpo+f#M_2^j@D+_)b69bjTAhpolhf_)P#>& zwQOtCp+Dskl~TCU93ZN?M%7d8@;2N6%v7+ds(sH&-cK+{i=pXVAt!Yn!3AodFCJuR z7-YekzaIDvWd2>yue+0XY}<1GV#k4oZ}O1dsfHb(bcX+W7>ZG&0(;lZ*VpP_9#}s? z2zd)zVNBRAMpb)J#n28_N^5p$zCM3p*KlSN}pC%)9VjHlp>FL zV58tFanIf~B#k+NcWc#U*+ST##0|194csnEe2ePw*7uEVB{VO|Dkq?XS8NvVm;VDb zjJlj8m6sDSDOPtHs8kC@nLrM|j2)^koO^hCa~`CLc+HXtQItHFm4aZDJgfnTPx3W1 zl8`WC6rPrEYN>cc;}N6~$w#Yh5ag~P8UDCTz@@{%m(pO>%2&b1r-j8FSCa${;JVwI zMc}6Kk+me!hraqrT#5S8CAsG}6=V3l2~eA1%XqnEIGZJ7*zq~GF#gUv8Z6BZy9YvL zHE_Xwt(kbi5tCZ&c;OndNURoikw^MX833xC7*yz(mwLzBE0Stq%eMgwi^=Oev86c+ zaNe!hT5VNTNt&XBDVxoi5d;IG9@#!{co~WkMm!54D4(N0$JmHwbY%@U!e1)?hUGy3Y?UUmX*ru%Ql`Iy|1Er+N z>N+Y=Gpb^R)5Vg;R&h^4^iV}@3Ln9nO2R-B@}426A6Mzz_7NDYP^eNdF=x&fgjsn# z$B8L|PI9S%Ud7wCGWv?l!!viVfBun5M=Xw>%zwLP%krS$s^^sV`li>(52F&O^1{X> zQUKDwug!oX!fcrCgRYZqdQMa7SNuRw9i}`9I6>+&U-PmT($-YTU;@PbkM!A1_m$%b zyd6|6R%o9V`G9&M!&WZG{W2oFy2JO!)W~X(FwhOZ@$0Ht*f*jNL|Q44O@GnUXRO1x zbI}v8p+(g`>pQReP-Zn@P8oetVbyukd@Waa!-9LkIt-${G4;|Nk7K;7=z&PTIhJ~DQ}c3RDC$E;5RGT6mw!F}9ciAUHQ7>-Iv6jZ!y@Q)N-1i2tlD zatk*wH?*BE0D>T7*F$DvkANtX50h106N|*8*Mk)_MX2ou{c(ymc8hR0kt7KT+YFRu zAxwn@>C>l`$Q~Zen$-c8b9hml8t*X`kJHgB;~(m% zhod?Lg!%6)JS79~zGo)x8$po=a=2$kN)BDAle7`@F96v-?6+!k6WH|tg|r_k8u zebc7hDZa^x+E5*ivR307_tb$1v$w}_Y?jxj4-|79KgWzrQs=zsC`a|0n9K4q2;2B~ zS!VeJ2lwLM3IV#&TiS{ekx{$;CQa-S8~00bJ2!0d~2#^o-b zQnv7xelnIG@e6H(!hatfN>K7sLMaO5o&K*fWw4S1>?y$I|Gy)~t>#I1YniU~H!Ev) zc^C~4@rwv11P0O<f2v8ePk|klo%6Oy7Y8|qpy7|B?mj|xpG1XU+J%hHU9sKGt z#d2u6tL<=goB>>APL)kQ98-PZd%LO}>)&IGlb+84eNt&fv9;VHfg8mF&nz4`^Qilx z5NP*%+CH9?e%A&#^iia_a&4o7Pt5q>_ZY$pqxUZZcGS~xGQ7tX`IPXD`tj9ucHG$^?q62jhYM;lysE1w*dgWPuX42n_~JW&;1JU22t3fv zZ35A=Z=8KHbpZ-ebdcUtYRakMR4jZs`kL>E_hdy`LLT0Px`$OL+A}mKgujk zS2?%x)jjR2vLhDKQ&(0)CqbH$DuTQ?Q&W9RV6N%C8X~iygBtswEzr#ftHcX8w=)%l zhF9tXsN|zE9(UwgTl!wrN5NE4??^zcmq2LV$ZH+%Ak2X8#bWujdw7}Tg!!81THL-l zv%y{+l`aF+htJUv3P<~#XK3`O#)ls(3uVCt%BYHSW=MDjiolmolVdj*GP&Y8!!@;c z3>s8|Qt(9kDy|)^=dESOqSmona&SPr{H!s!JP}~j-UYMH+Ft-Z(3eP*`r?pl)X&`r z=r~+)XH!Fd3N@#e=sk>f<<16YH%rQw&)m~=2ME&pGxemR9~QZmd&lo_rhObA(3vp% zvRC}^AFJt6Zjd%pf$EdHxSrbuxq0M`B?VR*4me1c7nHs0HQbcE{?fZg|7!hB(6b?a zLaT&$jLGT{WAzYHKu^9W?!(D}HdMa%)hhgC5Q+vA%f6J!2RZCwgW~62$|Q9ARl~Y%<&d4DN7;lb5vOU{dL`p7q+1 zc0NbSFGBASmVniCrKxN{053q$zi|1T(&$pl$Qj=VQXNiL3X*;NwVBo=KSSJvKt%o1 z4Bqh)xaqZ78b~5)h_&>;J|`zV2|rt1uW_BmLpbqEFUK8J*zBtsXbsbFD!?K)%Fojd?gp+%Ry26x{h6M z;Ncn?j3abb;)EC72@Ct}hUPLXSD8aK#ZyNM0iuh#E`VnEox6n$Cw?ulx9mLq)9dj7 zV&E{#d3V3QYLa~Ny)QY@r95OEF0ujnO?h$J#dU-uS#Q?@0J6kr+)UR)cT++Ikj8Ip zHysWx1Eco*P%b|%E;|y#Y2mh3B+_HoyXJQRr04z5$5Wu-mBY_N(4{Y#f>#9ID3A?L z?BwCd%lSAw?#(U%G@kvk!5WZ;;`Z*8hovPlS=fo zimDd-3(t|oJqozMX{tE2$BUZ?YrHnW^1k7ETV_uR@2HufBWsR~o9GkJr(t96ghFr) z)_v$usp&3Di}Hw%vY6M)?!kVRA@;u?{C3P>$(z4~1H#==JH(J`Tagh4NaYAMr?N(nicIyK{4J{mPv8 zis}-a4?RuSFZ(<c>#^|=3f@MRIyg&fmb!AQBnKTy4Nns^T>E!08AI9U(R(@ClK%ZS{@v)OQ3{1m z7kBH>*t^E_b6pAqGf)qL-}ZJ$?gGETWvFUXD({`u5|p zibu}6ssa4xw0iHn&977C#5fu(K~P1Mqjg6V|F{Jj13clp>Pcz^@Nf9mP6xyv;jO(H z6k`nDljO;W70rg?iL>*t9*6r=odpIE%DOjRLfO==*hHnf&n3Jh$BtXNx> zo|X0v*Q<+}AL2e>-aw`|WD0}IGulD@+4I>H9EmI)(sgdiSY4bJRv6Nu8bT$*=FvXy zCRYQttcxwQ%%~hJ+Bo*M3lT4rbaW&D6-l=jv~uPs%x=aR$V9J4ZK%MT{^KMtHx~>k zSw6UHPevc^$Ss`_>HlLKx1G#Q*%t$$Qi&X8qd)H*!}+zb#JJ3y7$Brk!@vR1c^QBE zh;6(@)ln)*fhG1HdA*0qvsS-m56m>Pve?+GE#8nQF%AtruQ~~gC%)AQix(pygQ!E3 zTIzYb0{MX->Mh9Si!VChSE(>!k;=R5k1%I~bSK3r;r@UfkXu;$laEH2jcpW>uAr^2 z4pLDMHFYhWu!`?rZ?cOmoLMQMEC>KOwAuY>sSw&1nwZ8yvElP?IzG4vp+#05T1xT- zu2bNMvOI-e!!~Sucw3gGGT*W%#xZeX1HEjtF#!^~^cy?xv?Vkttqs?rjWFu^|ABTYV*cTztN9y*3=?FYE2OF!D zE)X7--yG#b3O}!0R|f9e0a!&yP0~fi82*_(AKU#jvk!70f7u0f2}8!Zjfwu)<$A+? z3{Mg&A^(_0y*xtw(3pyGdTC07-6wJl318bl#wRlMZ9-6@Hc!#0AMhDL?Zfc0!=KYA+*%xI_$1!t&)P?!3g--gN@9e!nSjS zMM-;9A#`E8Zxm9I2Ub!2QdDmfaX`7^=?(jcM1hp@l9dDhqEEH7nJARL&uwcr22aS& z-m9x*8|j;9D$td40t6-BxIin6A#lyP^v*Z zp;i?W%3ijgGpKxg)ZS{4hp3nVHZ|2W#umD4elB(mrx+bs?joY#qTj{m@V2zfjTOK#y$LP}ESc-z%;%L~BsLt12qBmO8fqz(KAsEO3pUc{o&*TQ3h&Au0 zN+`bFg69Au+mC(cLn)T^xTg)KrcadlUh727U?bMy3{5N2?wdGParojLpDmaW(W0@z zx7vP6Sh=hRFAtQJ;+A96dr0b&WJ*i{btL~PlyG|*NR%gi z;aSDz{H^3TD%}|3CdTC_lMts&<_UN6tr$hIU-h-r1%&@5Ozf{~T;U#+=vP_tq`FZE zVT7>t?w@VhmAMAUWi&5qj@A3NhRI%i2?F|sIhSfMV8>G9Yy}7{#a{M1L``_)Ny5>_mR}an+ zP{N?0rN6vR)RV!7XJ`xQX{EWsc$k-Kb5}JbvaKNx+!mk5GpO{^cRHKvoCK85zna#lT@Tm*9(|=p?7ssG_J`8v>BGvlZf9ZE12^B z%+*vJs&Py7xD|EORq}{_N&t%_Aq7u1PgB}+Ob3{t++3K~^*Ex#PU$|`Ifr+k@9lQ9 z{n4mRG$Q~zU?+Gb3H=OwGl+7p)F1LvEK?Y@cYA?QrM^OURPnbg-s4cCPh_4?T7q$J zULz0__6qh49QVWuuNkm-bH36~)udRjK2Gx?3s$IwVU>5H29k`Ou1kEE0`rh6h%swa z(!JpNY5z{q3IIET6POEMKzW5%0u4=mpeQ);Ym^&M ztdcE6hKio(78U zRH}LAat%04Y_?D2_@KwBoUG6hPxCLqA*}JPw3XgIYiZiP*B!Jo$W%tu zQ+Ipu{)X%+{q!$s_Kc4&e^e%!t*OL}N|>bwlfTm0ySr@!!z6>Pghvmy!OUO~qgzEa z<0Z8mI*eGYDWj0Chv+#ZF1~{7-jb5<&=ch4X;A$&?O-($k!9I^B8ie;l8S-!F>`A^ z26&#dowm8U4dM*Cs)S!f{=XeR_sM5;;&5p39$Pq)k|XvyUD;9%TMjh^qG0FC_~uVM zzSQuTZMD0ehkh9ziT_%9htQdzJ?d_K2~gt)1EA;;Ux@Pb9Z@Z-aO8t9>BI07B0-qh zwEQeEKcu3QE&5~(JKIkxrq30ns_F=-*I3tV^Jv?c&sQu3!YN74e!doRcr)Fy$&R^; z=?H$0e`DnZaQ1_?KYp%m8*0oE5FJ9wZLWc68~!Fs)aMPZ#l3zMuO z$L8w=O>bz#8<{np9j|1UFTOLb)YD&E1qaHLF{OsOv1UC|`0#aUDM(T)I8#qi%@WqbJp_B10Xum0-F(spQI?PmzyPDX&{q2sg`y`ru|1it!2P#>(<8%v$bXBT48gBt%%RE9p-a+B{&RWO+7 z5r~JKSVzsx(>Kcyq4FR^wqQ$nwIcu+iuS<Fw7K`ArD>P&Ra8$1NDokOH z64te5M^exGhdRw>&@3k;Y*AgyXV$zH()O;C>HI76Eds$y;2`Fo4b-tSeJt=shB1U6 zbv9Fg8f#ZE(Cc&h7jVA~6(ec2N*rV>Rk+f*#YfmjP| z9oM5SO;%NWgyQ74IPny1VO-)3Z3tMr&k1J&Mh8KQjVE#_6g^FIKfQ2Bph^0Nqd~7{ z@5z3rRv3E3#4oJUjb25~&mMFJ(jqq5GSvmt) zF-xxV(7q5mbxShSFUL*S%7F2Rb^UKBxe1H?=*37=ce(OxuSz7LHh?fUAha_|SoBP& zFtrBab2TlMXi2(%FV@3q9rV4N+y#e!kDolt{h=$&d-%tee9}a-5rZ_z=i? zdUA>aQJ6T_aN-mW5Kc0R&NRHlqsbFGK$9AbM-7q5^)=)+_slU*^sa7@th^`3YBCm5 zeUO0x-Ru8eHW%Q=gs2ru=V=EYTlWRg8YD>MNy!c-Ma8nA#IIdo@8PFMTSyWut` zn!93r3@AqKNqO|OXgA!w|EiK*C?O2x+|4w&`N{u|)UnkGh?epH`|KV`Lw9L?zMWpB zQ=&=jkPCu=(bKEEK@8-9s=I0VFNX-@Cq*kaqkiA~%^r;<3~=uHt?{Ij7&B->q3H>S zzabHNvT5e<(*Fos&(#wkM<@l5{md3Dw)Y`??#WJwkdEh!#N?%cQJ9Doi@1*P@*A^# ziQCMhXtQC>t%C=@jbd-4He0#HTBCPb9Wp0kHxVcP8D{ndOp87Rj*q21W1YufBv5vf4<)-p@T;K!}-wB-qXYL@`~R?+}qhWmrFEf|K)q2taGG_0h79T_e>#5P( z4}i~D&lY()*eT(IiPa_}GlT9OI2{)<%6zAuj^u4QfV|A1kvyjzOS_Z@|8QIo16+P2 z2+$(1D7ufB#NRIyh8$43hW^6|%&>5+6YX9DEwEIX#0MDkrBWT%h>fNXB0A*s&Av(y zE^6*0v>p32ut~~JdpCBk=b+cXP|y{1%&+WG>IX)}pbIld3ZppdFA*>|Eh6OD`H9`- zVaR*YuAEBnbvSdG*;lhk&*FZ4K1L7DasH8C;Wu+dQxnQ@0P7niTj$Sg7f`sxWGnG! z48d%1YT6zlLWooUZ5GFOic_JQ>TCz5LLrA9>115qTOg%J66$MuT3#@I*j1!%NX}Q# zwcetV2a!+v^;7^2ipG%7BH2zyaf5AUmH9F0CGK^`$)#==I~aqj`WcBNsDFnoNG1dS zKjbGH>uy(*I91<#5VDN>*vz}N(-Jt#Ec24(iS0XH4L^alCI}HJZ~WLu zBsV8!gHG8ARN+~maTHtygq#LnMR5EBj(~SG?{+Ww?+LeD%N27PYR5uN%)JJpgOOTN z;v?t@QrgnG1XkXESohad-SX39hqqlB3o#@3MYcjO@@SL86D<9GafzOCb0?wOx&YdR zgPW!r5_ob<-3Y!&MMka=eN3IHQ2N+AA!QpSE%GaeC<-BF6a%*gf<v@AeBT+m{1W-?DmTs=Szp-d>O zBZqhW#ksS@1z8V~;u2&MhopAjRk!c<+j?$lpsXW{@d!Hu5*She?d(cVITIDM9H?aE zDjr9X6HwN4X(SGg{e+~%3+5%M6+l>MX%s z2#qay(XBZA-T~;~xY`XID$@-3Mde8Q%@+O_Q}-H1sb#W)=jDNGV_x-fjV+ni<(H1g zcd)Cc9SJ;kMDi^C@SapIgz{yKd%Z#n4%DQ8gphqKJ>v`Cf8_2gXh*ok3(8hg0Eo2{D zGTtp1P{R&Y`Vj-a^fTTdAsuBNpKB5CqnJ&hfzPsAu7zrzQheUF(U^^q7QkNkTJaE%4&3t~sJ&-PauT7nuRV9a^f<_Ina}<$jwj1|(jnamc*oso%pmk*%=*b? zq)I+7f}&j^`<1|na?DdCt3NmHx3ay|pTN;kbHr~kvN7fl*$ndHV#MhjkGL#;aodDS z`{@pOHCr0gkbSmp(ZRLZbdPSMrDu)5+vRT=RDe;P@FU=<1)pLG zzcfl@J;WWs&e&^|S@4O?|i7vb3U;IT_ix*~Fe%Z}2u#bfnaVLqgc>feTUr zx((YaI-ELV_~)IldXD`&F*c2G_Efj^t|1-WGx}eW#!SpL4592(NxTY+?MC)vlh5fS zj*$WaKMuBrSSuLu2ivU&2RMiWn7KG!N4+voVMy3f2x_Z6YXi;M7SV7FI}vLX02nq>Bd(;I`ZKH0x{}gjrPEJQw3b^#@5>p!B$0nyBbsh%u`qI@f_LN1 zd5@7)UpM0J9y?|H%JzOkglBSq73*blloc0|cFNzBD+gC<`x^5{aB-AKnm(nE_`AJF z^aedcCQWhLF$9mOkGjMoWXDN20YPq~f}Tc1M`FyacME4WvhKz00>7f2kaTGeeko{K&2(W0a>rs>YjG!tzT@g(C<$ zeg~txV)e{y5Z=l@L05d2yKLACw+&RXiv^XeybW79CM@$2MU0XU@!iZtP}#I@C=LB< z>A5L>q%2k0yVqHsBtA3!K^L2G%;!HU0|^|>?cxlJSj9icm6in`#}~PT|NkoIeCNGI0~Ik;8apxs(~L}I zZy(%Zze)DuqbDOS%htDME7yC_zOxC;P`T;a*&A*lrb*#i%_vw5;v z=ZZn?DN5C#HqmP=e#H6e;wxa5=&S1S2eCQa9QMTbBJH?a&IHoVti;KCwTtW^sa;DH zU-Dw_Yf@Png$%ar@B%(+6ZQDamJhtC)iU$k9mir;}c#|D@BIN2I+!3x468 z@K%}MKG5Gv3Lqb1--dypO1lVb7BNXczL3S*z!^XmvKTD41PCi>)r$Ikd z4A#{%^gFcp&q4iY?_e?56m_}{F0R{9h#vOH?PM=gB%hc~Y>%SiVLDBzDDTo2n&P%I zz-bG>Q`tM3M7Etz_dy-YSSQHueI3ZmQinkhBw3l?X}4eA_;A}906du__KgG|gcubm zzzj@>6Q!nD>j7PhF_jZAQ!K)d>>Zs+ET=m8xie{BdN`)tb&?R zNxwxvFG@1qKXc|^MwxI%pTJZ<@z>=DY?jl@`PQwK)O58=Xts>Ta)U{RUu`M4%q*}q zvz$kMJF?TcCsQej{paPQx-V3bG88$2Ud;znmaebZ1_(SzvyPBB7oU*3tbb@8FzQR> zjqAJ5ZbVR9b)e3eICf`sAKcM2DAp0ukfnN?KA$m{KF>choP(^ z@TgSPKu+lGzlB~w51u0pK^FUUeo=>!8bw4F(bGKV4IxVAs}i{x(G!9;IVyx zuMD1|0P>94D0y@#>E3XZhCb@7Yx>9KVjW&&^vg|eg)&a_UIeo`jkp;Lg@U_KLej9G zml?TWu>+jPR4`^N|vD(Jko79-|KK*pH1u#DV)4IPHFioWtNdQFd*xRUD|fn(AI zG6^3p+t4aRn6~KgT)P+VE~cfu-0uzzqmJbVEa}4QG6XRV9@(kP+SMA>jhHXs@sbCX z11t2@aM16kHuSrek940^ny65aX?ChIkzZE@qVp&pjojwE8kw@+@}p!gCqnBp$_nH` zo6C2yVT@>e>8_|d?WKiC!#r0l6RP2*=;LDEZapZ5A8`q=KiMr7KSUgW9JEQ)w+^>^z8Kf+0- zS3=@>pON)jbAoDN;z1*i=ScD#iSTB@f~K#^Rrh_koKD9$j7?RrxhjLc+YCPL+WAZi z|Bg74_`jkN@R!T6gQl=hlq%MiV|_ERKZAlLe-vBo$4e0!b8c$Hv;C z3?tJjy*5}Tt~!3ZVOumv6!+~uV1P_qoeOFES5h94Do2xLpI!Z92%3B;`9^xCb<$Yk zs4+A`!mWkR{6+e2b11ePwRK)DMdzHobimTFc3}1^c{9nLztLuyOcAZ4oM!SS^`5^_ zqeMO~uepmaw`c-(R+D3-rCn)3j0HRs;)lF{pw}!aTD(WbYoz6!jq^JnB=XNPYl%MC z7$z`tAv&>yPh(K-W_o>%yrP;vzjzKePAGb_2{zDWbL9i7D4cZb>H07xOvSSoiQglN zMi-+|JDNa*s`OM{Gy@)_10|il(t)isBmQNSGdQ#tN%b&XyaGA`c%MWyRivDiKJy5m)PW*VBMeqgN|B9Q^)fkNBY2x4d~vn9l=vYM}INnq;W9tbh~e zrBl51`qV#cU&kNJk>%-@$6%MVCXq@3DVR;X&=_5Tl6nf-^9{?jp6umjMmQPSTPM}cDptTjDUOWeuG|!DMCzSdd zwhB#2=Sv8h9L$(8*{wn(jS?hslB<%esqHo{mU}4j&f%g~j(^WcZq3P5)}nY7k?V9x z(SfTbVdV$Rjt@7`LuEA{6JjS@DjP_1CsO?#6c$~T)vK;+N6WQPYXULPU z*15$z`F|eukS&xky^xU7dALy^t3zBRAXurtr<4p(8z>mX90M&IOu1`(F|oI4!?pFI zdD2Gyz=yf?t&cBriD^Pri^y_y9WG4eWiFEtJhJ`Mw6@5|68L5)pVuOIB-L#O+rE(7ba3?Q;ajll+dnOgbob4__JVU}W%l_pd; zJeOJ|vEY^M$FG(|qwjPx&}+)(mHj4>T6m!s1C1skx4KGI#UW;dD)$-Z#ooub4>BN^nRKyI%za>eIyls@BoI8rb6Tt6~xuHM(Wfs z8>&kyxtm==fNV7EI$MNjznbrI?aqOxl5;Zt5*r2vI(aIvsRq)*U+!@t$}de(1m*DWQZ@*RCw`#Cy9ytzL(Qe)<3oOMH3Po)GvmqZ_|&_C%dGf zdxmV08XSb@NqJjJp-GfCku_Kv5L>mF{$h93HdZNUwe+VfY9pf$PQ6_OZk-A3c_VoQ z^&Nnq2Byd(bW*M?6qdJe|2>uUV`~{n_ph~5hRnJ;?zJjxsZ0+ZOM=UrG$GF5S11{o-x4tRKKR!?m}mgeyTK?z&lSej zBh6nP_{_|qn{v7vpx@US$Kj_tVAQ!ECRV3X+*Xe}m&%3pzJUAuNd%(JWzpJLrhp}W zCKd5`o=!o1dDih50@CPZb?M-4u!J~Z$E!ROj+2-6aNRVpKgVj`B zkHIAk>*SfZFwwX>#p=KG!B4yC86KsiYl7-%eC5ebG@jYo3$&)Xb>4SKzRdD0y>Fp% znKO6G{Gm=c0qieRkC(vUOidhsLUD|Zw+cAt8VbupLpeR1K*;6xolY`9<1fc!#B75e z+P~2}1S^F|Hehp|5+#v#pQYQ%5?!sXxYP~#irJ4+7qWd$^tGP705hOkkCXp;PjOmr z`gUI}0G9V#g{*EhrzZ(r1U5*?ohENvzYHe!gruxy1prOdA!5NuMq+|UQO5JNRfTTD z-Pm!(1OjR`Rd_oJPo|R1OYmN*cfUfiSip)6m3YbOWmuvjxSSyii18cyPX=|Pg0l}H z?O-utE_r%5DxLqR#V`V42g=ameNK9c6XL)2xojR4@eRe~B!qR5$NFV?2NImh#h0$k zb`<9UgPi4u6fgT}*2kf$;!%&Q?-J_Iyy`Ldm^16*w5ZI4i(QLTg^JvOf>cU@A7##Z zPM5~c2UkH+dZc82TqXP{*n#*a<7B(C{dV+MRZiz0q0mcjg!L9dQ2X3(Jr6hlJY#;rX zSIMIa_`8wR3$f(5f*SyPr=R0TZJ~9*Zr2t&Y}m@Pw0Pzc2Nwx&{x>_@ntVbh2M|Qm zN;~JOc4lPL#WBPElU$wZgg}EOD#?7u2zi;kcwVCZXt}D@l~0a!M%PsFALYErcr+SG z2IAK?E%YC0Fy1VS)-ib$%J{c8b6rqs4lit}`9>_dioD%<{ zdevNNUePJkWIdHH=k|Mh>f2@n=hKlFn1!=V_P!+zMV!t?Ypk^F1#+$abbMJkO=R6wyu_O| z<6#!Q@SIh(z#?BUx#%XUD3|w$mKf@74ZPcq0@rFQw5sDl0SH4P-hKc8`8tzSTf`y zztZ5a5v23n<5Pf4`@$B1C!-3Us#M}y<*m?%Ei%8}J9EzbfuX(T&Mnc)^Ebj$9Mdm; z7qLhk-{Wv3z!zYshi9>NMNdtSy)a^thpUc#)A-3^0iivA1(J}~LAldRGbs8L2G)#r zQYEc2f0Zx#R529>OZVu$)6c?A9NclvL?Y3o3=^`z-iwAg_!+p`|0;$IqP7S&qmi(@mRTRf!-|l@&h!ZF8WM8 z1jDWn6>VmOV=Tg72CooDg5zVaE(tv=rSK}xa_(7I3MFtk>YV=$T>y%xJN)^Q6hdUQ zRzz~QQHjm!e>)Mp7skDr{c{rY@df*tkXpY{dV=2J9U_`L@Sq!)?lC#%qum}isQhK; zC$=jGBg&z-Q;dY{+nJ1WR{DwEnPjRs%%evmgV}We*b5^6;TKo;FMfzr5DM{nyQ%@| z^MSI88gg^fj_8k%c;=DK1!@ZvmlO@>g=3@;>*SqX;r`Sbhj~+8Pu_YB(%YJ>)xSSx zL$WiuGBhXXO=;}6#>nR-Q({M8ou{$+TX^jsV_z(*tu1G05S4z4prepjpN$y`K5yCx zFVkl*oBcSMBpCwTV=rwG(}YFkzi}kAP8|f?b~)`r;rEsUR4g{THz(ZX0c&v!vx_9U zmJ5E)UCKSxiFdU}bj&&jRoq<2nLlEod--T~-oV9*VKsmR-Qs#1MRW1G+mm-eQ5xV3(BoTFe^B(qySU$R7WVh#*lkKZ+Re2^>Vv z*#mg?<@?v>;On?oRAgd7iYq8h*yIt%VnMNfdgCrzBa-sbx7C(@pp=^9zk8l;Q3h8R z3ux2M7&k(|Nm=`5iClnsW-Mq^bNIB7alJ}Uzr`YFljqmbh@j5<7Ha8;ka(-_+dXu` z`y0XfiLxvqIZo>#_@*$gtNdq(FXFbAt69;7Jh~8A^{yb?fOD+lw^L@I>~1V zuEgS*K;kD1R#)ZAz%zRO0prY9vvm>sk*!^q7Hw!Y6;hMJyE7G3SW*62^h55@HW<^4 zj&7@S7h>Aa?UopS$RDDvXjO$LT1>4+6B999lpj*Xnyguy*RVZkG;y=B1_K8+L3C!u zqRFnwN4@a?^CqU}=ePZKU>#O*uI#Asw!-KKIj-Fk>z=BC2K&&zqJCS2% z!=knJ1jaZ7h@%qM9)BnT#FQ>_I9Uq=3#Yo;hNRcG2+5rPnpL%!t`Z|F`MXaV_XfKb z0~4CISAC-p z0dAMfC9s$HFsXM)5maR*CeJ*Gi^N*%sFsHKO0({r?j%%3C{37tb)6eNj$;gjj*A7y zP}zvs%3Hgu=*%g55|;mg5ur(+erE*&L+-E-%{tGqtWBLko31omOf#)+M}!TjZ;a^R zdQXpGl0w6mf65U>5dlXGwGBoql`I0Sg$4Xa(ZlgH``chB(9=y67aIhTB54&sq)E)v zHH!+p#sE1^#95#1%tLGXz^{m}L*pZGZ6jV8t6$IcqtX`t`aEN8r*3modw?(|=zAMP z%q@15L>!UPxc}`9Fx(NpzrKX;uU<^9W6O;9b}aQ95oJ8>hVuwy@bxd%-m4&K9@87@ zB{Hic8CXJ0{^LEJd6rX!D;ZH}PBjx)?$avtIdf+!V-KCfpGbt|xyrBjbr=;Df<>-C zK~&{5HRf&CY)5DNz{*s=-v&src%=(Zhc4C-RKSOUh7T;H(%t*xA#Q2wlLS)r?)s#Rz4Vuc);3;7UAc5DVVl3+{{{a9^E7iyjNpG2C;HQt0CAu-_aZ1k) zu?9I>Q=Lse_UdeN-`37LH>=FUcUY-M^654H2L9XDzEkwSApKYi=ea8>F5in}u`Oup zG(tz^@g>rcUN8^!ko9o}VuC6_Kxj%aLBt{x`5z?`uqXk$xuQcgA8jf0RT>DRksGX@;fcyWL>Sj zX}Wprs*+zocQj@(R<4$n&|A6j6eJ*TS~tE0d0kAueLCD!JPHPR5U3}x9`MCE{&sjw z1*Y^s-3rtPyaNm5@)~`ppGv&hTJ(*Wx5Zv%JnP7=!RiL@1%pscT-M`{{9qz3ZMY*B zr3##Ann>rNcrG!3Mmp8yP6Z~uKsHnn4{3V?CWsg*2H1;G$96VVQ2%{y zNajmF-TLQWD#Lhu`00sa5Sk0RXhj0rND;QToyg7Zfjv3@#_W_~$hYR3$6d2t7i^e{ z!gKhGyFpyEREMY%&ad>G?Gz6mljSjQJDCPqF znH8iDZGZ`A{|~S1x7&Ra9h`b+sSa3nT(!9cW+%Kxdx_(W1DwgVKQ=C+1xJNkYKR0m zsFJ+IfsE<^LUmQZM-JKm>KzZ6ZmDLT9b%Lt13Guo9%oMIV8tqSN9Qhd~S9Z#D@~;AZ_)`RTnA zcOcLQk8X zID@CVYY@Omy&#(K4QG`Af{SQWdCh^QQ+lC@Q){LSJzx+B^htCkk`P zZ7hNZK0o(ilC2A5X8x0;k=pnaa~n%FxYpp^Vp?4SKQM5yVR=ScD41xF z1ItrO{QL`-Wd|6-aVLG6q6$3Qew3|&EvXblLGQ5W=vzP}@cg}juOdL(OaSFaa^W8V z@loM3mCWoHT6QZgmNEC{)#bo3I|>(CI+I#I6b!cbNKkLd=ii^w(IMBz+^dcK0RX&) z?XMxt%sKXEx7#JZHj%5Uf4m=+0+S+i)b?_|){kM{v;37dt2ZEz43-Lt-`*>LE94d- zyawzja8G`mcW)TV`8`+IL?l?tN?+3)@F4IWPm-lx%>WXnHwH3K$}*)i7WHSl3ojR< z6)p)xSQ~3I+ZmE#R1nxA2l@=vB8sd9?mg(0F5WdV4l0;09YIqTl;ngyI)=3oH$aJk3+MQ-GKBT zpmhxA%2fKPDcQ#BOYZ_97t|YF8`^ZF(!SogTU?3Hb|qS^app8#WpzWphvvslv-k8I z*1#_&zVnH+_YDvUQ@Qz~ZqgZ5}(J!WJCv4K#B4;}ZwDvf*^AtPTbr@*a|a(uMmTePuS;Bb;6ZG0^AN zb(maO_Os`2GhVi#XIt}saj2I6m%~F+bxGl>B+TIC64}68tVyjOB0L;RMD{$`#u8qg zeoa(=1*}KQPklBm*pMdIJr{lqFPU$2qZr+Jr55=gg>M~Sc4BSNQ%Tm{CVBDsM`isj zX_zd|^Ze11d)}yEj)ybJ!@absN%nHUZ$geJ$qb~<9UHspX?>u^n@f& zj=hD>@fxdoVg1>%<3MFivbj(!nyL&NCn$^Qp9fKxO^ZxcKClE zJ5q#1Ui5mWP%S-pM{8;I3`WpvjN@be_iOalF);~R^PW}AgA;tAEQ_$5U ziWd}OG7lBs4o|~&fP%*Z9=;Tab_~(>iLM*;#_5|V-WunGxPls&2Xy+kL2(YhH(MJz z-ZgaH=SrhucouvE{;YZz@ZD!btr$G>&!$fqc1rvglkW?S3}<*iw6Ezn&(9tL_tq%3 zQBI`VjOZ_++|p8CkZR^2g5%U{JTTAjNqzG~w;?#^kLt5_Ju4*0g+u&$FRGp`iv^nf zg_vaxGTp6(KR+2n49D+5d7x@~07XE$zj7Dn(*c!VatZ8+xIRYU9fN9V0+XTIl)GT) zmx;c=1q74F(I0?i?{}!!l?+!U(Gmm%F!}Gd{`SxD*+6rl9;kvOMh7t&*ycz1!WfPh zjKL=i$zH!{x;pPm)Dqe;Tw0V$*@45Q8>r(vfp|oBTEv5gzJHLmnqCggx5SWfd%!7`{-lu0 zwbeY|Kzbl`6My$~l4UZCdg{G}G&+4&$?TLZ2)5U59UCp+wfj4VqJRSg)0$F~t7SFK zskU^^L8=U7i%-C4A zsg8XmU0;NQyqK-|GmP=-J6siaMePnRBvr&s&v5;qrx4KRYpiK6_aQj`olm;No6bb2 zMOESc*#fTF8ut549^fCk#@PZTR>LPk`AOAnUr}yq56ZLm!AOjn8${<<1V>(cq7491 zUu9CGlojuGq9Bzcn;w|5ZAWw{p(#;U&F)Ni0xTVj)B1fzA>l60z-ozcwWjTZ{WQ;Z zFeAKHpRN!^Lv1^u;A6it;t2&-I_O+wtJ=#U%SD=8pr9`Z`i*|0gWSa|BQyoAh|l~E zc4FY3U5oUp%Mez^uc`zpFL7}^5j~Y(olQ%eq&+TU5ZZr0`TM{oS<5V0uFw$~t670< zoh9huP`uZ@(AqNl#XE&hGf~6?E8yTO%<_H0)XdX0j8K~D3aigV(&3*_K9<>)I1b32 zJnN+Y?;8|=EaWAB}T}iEEicD+keo+2W}H zsMc0{XDle7$QE z&HGCS!G-Wx^_Bf7SYM^;1Em@d)hLHY$*#N_`L0@|d||KTZhberFHZr=y^&)(rX~W` zQ_SL5`}bK*hmfkeFq#0*b12Pyz7Z2nwhasp=6K#r%9e1BEW}gB^&+50{}E&u6W
hbSju7Y75i_~4KofDJ*JOFjMnWme(W`*=p_}sp$a+vob4*aSri1OwxcR@zPB9n{&Pq;3F%XaeN+Y?(L z;8-igUQwdwyVZE*^Z|X`oxlc|O_=@IufjioxMe*oxHBjnMNSnF)i!B_rgNO}aCx@h zd3pHL{0GRM6?WhMC_D9(1{z7Z40bHes4h#5nRxVxSAEUFiExG56F(59GRUcSZ8@Tz zt=zXf$~P2UNLNXwCUKQ?Sh?kB5^a0+t1S*wetwOI@|dgof#i_*vUR*Yw9NYKdrhgCg;n;=o@Ry2J+%HuzxBe2)26Uv_DJSj^<;^1E-x z0yYe_*}jcud4!M<%)e&mVtCScX9XfqsJ$Fo!Ys-Q0SVmoUbTrzl)|nDdWfq(z|fZL z|G}I72l2EK#A6>^>_9fn^h&CGrYzYv2gl`GNhn$Vw3Io@<2Y}zW3Hjz(5V|FSO3pI zPv$Uj7T>?wVyGgQS7$930gQKG?QsMaL@Bnt40aUzd&jpqdTXu3ZdPle2$~%kxg`^y z*?R)%0j82uDe(*M53>UH2Ui1>#iLO`3As5iD_bp5m<_a3bU)#9;|+_RSuIe+fhR_W z2(wIL3umrUd=J*|>ZJ2j!EuXRdTA?j_MOY}zsP$GdjL2un5--QJo?db-V(%abYW29 zl2xn_{8~jr4!)92<2k9ws8n~Cd`i8q-tR=$r4c0ltkZEpBz)GnQ-o#kQxGV#xT(P6 z05PHRHAuOcy%pl>uEsdcwRA^lT^DWxfB<7A&(Me|F`2Dtq7Q&=2m@}wi+n5xPi_Ei z{u-RGQr^|*!b;?5dxUIXe`du6Oz4$inyX3J&yGXua#u<-HTeOeXYC6;hhm= zC-9&sswg?=a)v=<5fwyKhFViB=l669OqUb>HVJ@2b=u16@WyLE7mf7m!hTzpHj?~# zCPlN*&OO0~N6sKoSCbXyb1CYw2wG4=?HIom4!7WIsO33u;(q8<>WMENxLVYfyxEB4 z;t?)CWE8>~m>s?@)&my|Q-FdADv`TXBRA~|<+1%oV17zZZRZ}atG7nJA_Z!}DON`_p| zJAwK?0~0Ae!EBLt%yE^jsvBg<{wZF4o07HNO6^xzOKQ`s7W?erln3V33{K8&hNpZ2 zyEPFp0TCMDu$+iSZT7OQ+i?F9Q{h=bsd?d@-S5;oMW+}H2U*MHZpXO(P*Cjv+E3O~ zd@a*B^c!OHWlwGdbhxuQ17mb?6iZkctJ+9z1F%n6#8(C7Oo?bX%4WO%Du|2}9^(rq9t^0?i>~S&9@T`8a0f{fI;9ZL8mYwGDqn0}oZsh(P%3SNZOb3h zwZ^IM{IQpf|7nCT%|#tM#QP@Enif2R1Tgk#<8E7o-0M*%R(_!l9d#SN(y`aBtP92- zRbSW*9SuQQuof@$lL{7Iz%#zTHzvz0Q0ZE;rr#V-6?ch5mB~i$4am_Kpc+4Tn*!Dh zSjD>BsDcCz1=u7v=@c!bj%tnQESp5+Loy$cd%`wBWrNN%8xEm%%)AXD( z8<~uYR(AYR=t&V)_2OEPP~iGKkOucm>zm!qB$J0J?B*de4v1Y8&I19KXJb05H8jhz zpCVA{@_Omem|s!5PZML{y{DFH8b0a} zi~|~Jn<%ObK8JqT>bZ|BW0Z@7Gf3KN-YpS>yp@)3J1_z2_)dwB=0S1GO>@s;71s~h?h4@2u$HI=ogR;=RW4@x>J~C`0 z{GfdNVHJ?!r9POb>pIf!WKbl+peZG1psj494)Jdo$35Ou;JP8R+v@z#%S7o=+ zag(V3n7g(O`Qn~{@tX-$JlAg8!SOS(f$b&p#nn(2DZ~P+WBF~BD>S>xNtf;$PBvu5 z%RBm6e$%Q|9!PRCuzZbwG${#V0^hov0cro))etw`3F9_iBlq6}PZc4lLyD$PQU}UESJF2db4%MwmAA zlIJ=(NJ2&US6&N0>mA($-7zAMzqMq}*YSd%l0?Z1N$q$47WOh6+0WKWyp2*bqju;0 zScc}nOv?bC(%>fL-2l(2Ud-l%UTg}Za(pzsgZ-~>PTDjEq`nl;X zt@X)8X^`4^9qs;1b~cU?l{UG+wD%pm!*{|q8j5hs43xhD2)uh11UiM@usxYpYIu?} zT(wR5oQ*S6!Tqz>$LQOteH7LPp@gRxPAe+b@|{@M9T$^rUJ9sw@(|hiM!AAQK050o z6&dc|(W-I4-wG@Lt$P~SJADVX>{hnn2#45{7Lpbc?Q~1gfZT_^c!(BxWvJY;1Pvj( zwUs~!RJ(-P(G0>$y>c|wNkTJ&5~V*(tFu*7aq7C+C^QrWa3x4>zDae9VU%?fgUAvE zv`jEyL`g-l<6-N8M%2KpkJpwO*XUM-=2sYVfjm-qq)CTP87hMI8u`$Q_^&mkXD19R zz|G0FnK5-|gc9TSXe+2C!Y%|29ucVj)>1JMbyg+m&Y2fv@Ngbea*Rof$ ztQNIpCa-+($NO1NdNn&3)u&rhdBZckAbYxkiBGP7W=OWl`cpdbSi0SK$`fh%Mi1kl zq=D;kdEb;AlKOFO{O~RElV|z*KI@|u) z=^ZT5=H}TphGa7NYqBZ%M}_ z1jcOC=j%g|-k5H@YMhTqXP%f5ZkM8UxbgH%V_z-gM^u;f)-4e}dDt=oUFs9h zJo#b-po}+;rSpabl<(}%m17ogw3#!kcIexNWR8BXqr|QVoZ*bozK&J{+kqLVUj)O| z*lgDb%%HMOI2sP%_@xiOV}Am?jH`(LV6nv2Oq}C8{kLHN{8)mP24trOf_tCapYEFi zPA?7vOhT2SE7=62!wORWf_2CRXUsAh#B979McGIGcSN0$R;M_)pk&lKYe01qA>WvA z5)OcfrYA?qX?V1XitkGbIS5&KQg7 zlY1QFGK9DugEFi_O^aoC?q`jZMXev#i3c(hr5WeN7QuFy*;{O2{(Hhb)nltEK}Fl< zC(l?u8#>x$Y4FydO-harWZx^i*w5m+6)IoBS9q1g&l8|07&PGocv08{NM%m>peYFB znV0UXEt>=W^nIl@o>TYRKHuk?$2_Dz&mTQ~w8{2_f*l8J`%d1kf|%MXZ_x-7iYKCJ zw^I3z^4|)ML)uhuc77>{j0Fv#Mr;{x*Cj7wTYE%~HvUiU9Fm(l}r1cp6Cod6Bd3>ieHK>6ONq87w4$M9*Yvs!iB^ zYnjEiiCIhCxu}76crmsl-`V}h4m3Z`3x_Y^3(ARheJ*x3ljSUx!UpjY&us9B{+ckM zY?Tj|N@&~7@559`(y{(dtMM8I4C(*Z;^p1=3Rznmg6g_maM~f3UY0O1NC|zYVxaIN z#Ru-5(7f+~sF7vieSY-D<$uC39H^rSg2SL|_JJ{*`ZBm!s*mm8WqLzPAL}Z4VN-UJ z*x{m+j^S!R{n(}(=F_phpshQ~0a4-o_%p!}I!*MDsKpZoc({v-YDRrcZ89wyJayGq zLrCH0JcjRt9Om=Be2hIQ1{07p=L-goUOjFB{eYFmq0t@T(E&)tuc2En-WQc^NR@tuRtI^u0y5Y6?e%edH_Eu7P@ zs|^J#2GW{N>)G(zQkWQru#LiWHHa2jST>nZD>*H?Ik1etw&jk zyf9gipJ>p};0?PFy{(Bj)xnCWJW zD4m&};0mH-Av`q;F9twREKj@lnAo6r9o1+G|2W7{eHBQz2kq6`V9bpIF<0m4@K?U9 z5tloENU;J5R^2FX@`*JElHCUFA+K|C9d0+(VJm!s=N+!(|KX0#5X-$qlK3h0|BJ|F1B>O?Z<-L?z8)Pjf3hokWxq5k!`d4VoMJqpgQ3WRy# zoNEsM$Ame7>}nOllI5N6+{bf;4Qmp}+2h#m+a^Cr9e!oSp?!$uyY;( zd3tL=+4;xOxMG2twYVAab1thsjOXPEuP!m=M_Sela{$lqXd|*fFpDtYko3}O#~C5) zKR+yy<7lkR>@jdU^Oa@pF&(rP9uw2LozED46))i8<r*gcMDydZNOKFG)d%f>W z$#`6oO(w&1b}VZTdWd3qZ5ns$J&;*(#=g#(fF^6fJ9~GIbM&UL-F9B_?1<8|(W0TD zV;9=D>%PgaxO@@JdJ?^qYitdcSTMBK$`U^&u)p=_wd!yz|D*9a+~ZWsk9J9!v!z=A zqo4T6&bnJ-H*MeYC_n;VZfoA#@Vc$^_)$yYuaD%NLKP0r8wl%@DYuEC`%nC4LU zhUF^DpT1%v$FpNN@?kPI<`qeE$vY-LtuDIE2l>6j`mQah$sS}sKrmmS7g+?<-e9O7 zuMeYw*5w8?g+iv->`>u}`d)_&)TgM8HNZ&h-a=>~j|=|OTbue54&nsH+bnm-O`wwI zLBL1bV;6<%a1)cW1+e(#vaRW7WD<-GzQIfd$eDWXbFR5?f zvG^91EE{_4Wi17Yv{is^7CiTqyVtWByF_Vr2h|`%K6cq2Z`v^+e`Ox&d7!ZJj4rOv zs5=ut%=?Vz+~HmMkw(qtNOl6bu;0QVn`ue|WKY7xo$C8P$R(%WO)D5iar&da7#>R4 z52?O|w#Qn)oqHFM%08~Rsf&jI<%U3UeVjO@U%2E~hkg*$e(j5DX@9_Nk`_e-_AS_0 z+18f0#zfAq&=nYQK>AO~Bwk64&D0^Esn@a6Y5JDM9+-=rd2Pqq(`T=qy@)a z2Rbbz8wto4N#}?Rstbf1dnI*u&>sm{s6kjLW9CqfR?W4e%M$N4B50+S_MVnohzna# zv)^ojq-&&#@KscsTub?|SsIT;6shPg?n7$qu@>L*GWP zUMb_%2^o2Qi9zj1aUM?u6e#taPaxInO)0y$Fjt?LuF zXHh{&K-u=dix&$nj1WTMfdjyt^wMqCv_2!AjC&I`M z=OInf=X-#|CpC4P!+RxdCA4;?k|&*Mx3=C3F)TFOz{XqiI!x~xUT-0lOsNah;1E@A z75+knz73yj22fLMw<&xvI-Ul5IlWb|Ryw&+vWxgae1io0b%*(O{W9LDQ-|U;3#?p^ zsMw|@azDE;z{C%6*RC=2Q+_=eh$A|&@K}EktH`;P6F87$AD5uv7wo^IPuK}(L0muZlim%e(&dct1jd zk#!N;4#Mh{1QXJ$^#y<|jv2D!__3||xM=wntw+pjNe`@lA+$t21O-1_3tWaz2Em`Z z%h?=J&ZaG_ZpU#@G3en`O!r*nQg1H`u$tjM1hfwnn4Yb{>G=$QqX%#O#XXLRmry=( zwYBoNhL4B=+VCG2f=^&bGC*xrut`_f*c|JBO%V?-gHp1PadmPOhEN6k(T2Q$pa~Kb z@sUV_nw6$<}C1GoKp$woOg8Ga3$8s3KDNr>NGA25kR~^y2S~+W6}-) zO+FTHv|ibzSNG}xNIx)4;ko=7lbMvP#8Yyp;h_pztO}^hVx|QOud?|(4hZ!%T~Bl z=>#ADxyjA+1I!~rR}Fn@dq*@LQwp?agjuYE&mkhI!6>bt4Gib-y5vlY0=@ z`qrR^jEfEQYM3Y?(;kL<$0ZzQog=d7J<~|TDn<5WM3hwEuzOgAF%b5eKi$~owC#tB zzG&JmQZ0}U5_`N#xW^q&@US{XP~>8kZ?+>2hlS`spjNr=~20)8$rFv_sTF z!|K^eSN5g-YW@@^NwwM$!tP5@VLu9IzO`pP2OGIND@^vml%p;)#2yrhn|_Tj3A`tO z={L`DbsZ;_m(a6)t+q>FPH>QyU9Ta3>x&}s3TVz#C9nVbdlHbkm2D6yEpyK?7|_IKGR20^|*nhh#B2iiCA z?eENS+BWpB!y~fHGgkiJf=HPQmgDJ_x4*-A*nT1VIS@f345_? zp&vAl+(Rkd(ld5s1jlP4{2|rztMrSR2+GlLz~oc4q(C4dzyZ3WF<}FH(G-?wUSQ)d ziAAyJl>dE_L9v`IS{TDecj0VJQ1vwu)!gW^ZTTIp16fCneIvg9QjA=WyCo+YRwtovkA7g%RUU z;E%Y$tI=~?t;Qlqde@6kYOGNr72z9dVwSfDK`pi4hd;v%_N9r=N(tcUQ~noNmqS8q z(aGsr#)V@!_H|yp9C)Ow;A~m0{wvC|Yi;W-GQ;wf6Oh-q>Jt$)C*BRVOdeHBc=4L9 z0+JbpeCiiru8Od)IT6p+-yIgV((BX_5g%q(KmdvuRjMF_%CIUe}olh&T2*s@}|umNHJ2 zc!b~+oi@z}xYy{D7ZXf5Mj3srsZ6tO#3SPgqhdu`kg#68SS_E9{uzKA3JD0@2*zy~ z*H#ex{s&O;`xrY5umzLyGolTK1=zLQ$?!WTPD7okVQ!j^MBZ;PRVO)Ycrov^(DdmB zUgsf{p+PgdhrIw3<8WUw=q6lA>wPGmqnsV}(4X;iY@;Petb4zLIW*?z!H(lzA}kwf zBCzxR{6Vq#);xbm&KGMbONenG+9xSRXEK^*)PMI+9%4zE?Igxsq)bxi84dw02SRFz z5+f4Yd%sWoacXY5sdeO*_uhx~6qzY91cB@d-yuE`rLe|zp(mQc0 z?@$LAXG~37>5N_Jj4-xKlb$Ku^NxN>oI+q}&~+8yrTh+{KYU7Bg+0kn^ci=(zWL5f zh`y@(ey5^~;Zm^|7)1T5oGMxld11@w9M@(4-a0~>)_@>t&$24*Qs6R-g!jQgDVc|g z&Dl5Z8GbO-sxUNSg~zu0>7IdN$}Hy!N=0-3{f$Zwi}cJ$Q!*}ejOZO}e#dIh+AS*$ zG*YltN>@|N1n;kDDhQi#FhYcMu3AZ~7brxDCjsH;DNGD4eiJMpLrnB(I|<&>Nk5L(h= zJ+oq+OaI*oUC71PoX^*TIKP>T4~7i-WVTL1cO|bh8Vob~|EMT8oz*F^DYF=HxFub< z{^h4lzpSxf)Zi-PT%nzE_1cOWrwwt4bYUNkpWqAeg10GCuzl{7(Mr1i9szUnB1abU zM=bUkoI;L~2CxF?)ijdfsq@r4HP8JjHAojIzrMq>{hK!utn*f#DX=lWxfg&fJqH*A zM>|{L%nKyj?;dU3mynj=R~3EU=3mRo)!ZT@$nrb42lKF zTh__8`lwm&kdv&OngKh&>$FfC47e8vPeT>3pE@T!{?@Wn_7IcqTOw9z6_{Gw*phoweVhA5UUqEV zi#>Kw#Tz&V|0gNo`VriZrmf=I-ximi&v8NAK&0OE;*s!Oh4k&`=m>Ce=+U7R_YFJ< z2W}-ag=L*4+5Mogx+wirakJ7@WMQMBO!Zz1z#<*^MyQ7dVx%KlXQ%Y`+-o zqWcA*xPXb@z^~VslHw48#8epCjP>JXvfA`~S`Np9j5vzRS%5;QQ{E>21g?2~Hm?8< z)Dx+3DP9^o@HVeo2fH3qxWKPVpRQ&+yuS3oiz~&Q^G{>5%j-G9A;JnF9^Bq1rkIPf z#pr)sote}p*ml^3jXhsLpF^MW8Ho6+7XuYSDioZRio=Gr<*MWuPifl?o71|_`#A(6Q2N~VJ~4N`EJ-^!qNS? zb4t#k@+`y=SuR4zHkT;*$0X5WaBKW=ZL*VeP3qp7^)*RuizE>9Lq>6>gtAcSryl9r7lo+OFVOEOvU<}?^ zwOO3<$_p< zkp5WgLwTekl3^zj&r3lTMZ5eOtQ`sR?ggf*y<@a{-BC41~M*g&IYuN_4+ z!leGmJMCI&=Y_5~{@D~;gC5V_w|Q&}B!N$D?f(d5aV%wW_-_u{s;$kWBDt6^mz4-S zg!WGWsP_Q7MLXH^PgfBYf*g)g;d7MWtEP>oD9DiekBcHrVeAu|oEwrGQ54q5Unc?q zr)JA{V4($@+y;Wt%hDKmOXNj1Q)xGGzVT>X2izn~$=4I#1Uybu^>JjSD@eQK)UM0galm5m zXW`!G8Nk9S8_qEUz{>pfi~bQ)j9|kQLP&bk{!-lF5q<(uslGAp>g=h^y41F!MzRXH zf@S}#jp&*e^b3gqkt*<}KDJcGd9u8`C-OvOlC9Jr8gn}#1lBZjx-{=CllS9u-Xh(s zS^xG;GVec56nRw(khW7SGv+G9i#}`qDcJznjd6@!gweDR<_pZu0b)rF=?%y7)3f6W zvBq_rl%p0%f zm8-YFry=;WQ+pn$={pQIl|&yHA=G?hu}^oPJ$^fqYtfBiO#TaBUT9YrON=DPIvY`p zcu>P^Pj@F7Yj~T+8ub$I4nO0{gWLRHIsQsYs}xV4}|BDvhR6U`6xEI zz#sKlmF?H1=VdKmVnYj+Xw%&!+#@2N0!4m@nd~9-%4RqV~ z8P27&azs>~d`7LBcc66bA$wWWhsjJdsD8UhUAX}5vn!%sni!tj@roYxBVZ);lvd-8 zo`oVn*esGYg&phm+i}<9!PO?` ziT^rW+m!LRpZKX4J`e)vRNrkI(heIfp}A-MpKLuVy=7HuYEUFRHnJ5zc=1rxhK&Qv z@eT=H(lyZUZW*uQg=2lAgEf0Yhg1L%bG>I{Dc>oZhAl{qgTP%*0It-sC8JfrTQ7L6 zPn9=SDl2gIafqv%v3j4Q>WKoO86E8y~l0I@n130U`y5 zRb9e)lk0`J(_y$6)X;I^w1(-k_Aa}Q*Y-8@8&GIBh8W#WSyHq+Va5YJjBtN55aMHR zCmKFr?sX)riRG~W^*`xtAsw2O;ylrTnW&qU46H6n>Z^z_LiG##+uqC0P z(g}`;UpksS1-fgFUeS$Y;OX6Ok}rh~f2y{fhvV<99)Rrx#g`=SrTH}e2TG?@4z5Zb zQJJGQP)gUt;bySGpF#a+5;X<3b3L**8iZ9E@AR(UW!cEqI@*#`T5rct?7`I>h{@j6 z5RJgRDE-{&!>cdNj)f&-`cT#~Kkz8-E_ncc=p3;4288w6FZz_$&+1lbsdU<4rp?d&sk0TD{*zriV&L&<>&Cj7DIUGR)+Zin@#&^3y{$1_g z7^l%2RRVZroxn7`uk1r*z2BuSfe%WTWMfu`zf;8y-#f+IY!dgM=wI(TPsKrKz|Y+; z`dzy#c6Cdd+Wf2?7>U+)e^CF8Pu|^Q)TEcmUBC%f7t8o*G!Gv%(j)P9;DU+FCnRkV z8}j!6@ClVuK1slL%CKP4B^+~sXtiQ4M7L=1B`v0*C7;`D zR5;ZjF!3>${x%><0&>b%K;SIbAJ_V`uwBuj@Ilu2;Sz!Z_W1UFs+Mc){ za9UVFdQtn1uVJcul@C0a?JG8a&}jqR$U*5(V&0NtQo;>XnW|KhlVtpoSg|LX#B?y* z^a&~H-d_$QS@vWKl+2EqlT{sDwe~1jg!guYAgD`JiUxwVV!aT;EUx_vQNtg3EN?da zr%@ue?@PYEds5aS0gzD7SP!hKNn+yBs7>SL6O*&<3 zU$S6{!$h^1^jm`x$EZe?;uVWcjwmAr<6ya9M1MA6jJjoBU0 zytg{k37f*-nK6g0f?nTt2;;v$H!cEjXWZM7iORsqW3|w6R|?V@-7V&6c?>?qNSd3Wka_8*3rHhTL7k8=#nk9v5jtU!i?3Mv9)t~1sLr$Bx%$>}=> z6A6{Tq;9gQvO6ik}W`(h?a>~7;1ecY1vFQROX1XhybT262 zVbSX286)Iyz2F@TW~-SE{;lDAKL3kSA zrHCv&I^HL78Un<|s1ZWP(ZCy9fzC82Zx2Cy67~LN;p2<3I+{O1pEhGp8c|4|x-y_uzs&^`iX{L6L86l}Axqb%+a_i#-^pfr!Pdu^5G z6f)Mn;0`2w})Tx7H(tCjeupFmCw%jyl#k9Zk- zut%uJ%=rh&hYrSOrI0b+?c@CYvW`v&Hosq_+pU%neC)MRRKq_B=MuA*{?E0+?izaa zB3Woos#=d8w`uhGiYh%eH&Ag$>ob5vk%oHXX__gDS#5#ArMKU%^pfLDdu}Sf;-eWx zrOceD4VF719702}x4@cbP0cWBfnII2PzF_G8r2O)a8!P^esEHJ3ErxNBRW^T zhN9i6)g>V3P)cTSKacmUt5XgK_O>8?Y?RPN=$4-?T;;hzWt(~E)pZNbZFqqG>>&j*JWjl z(vX*57d!8J$0K8#i}?x;bkz=va|cuTLaGr5axw5OI+Sj)d_4~N4a}2?uj+dqCDT?~ z*rB0W3@t-J)G)NR04V;I@0y1kqM${58Q|GYv91;lL++~B5Fm$>5Q`IiP=rEht60OB zofH@uFk3&8ViaBG?N}<}kdqJ;w2YorN+Ku;P zo-@;VHH?&iG?}o9IvIoG9)@qTO2Ljj*12L=abz!y>ikuD&z>H2;4LnCUk#n#w@AT| zqH}SPGXIZ)S7rHlW$uJ?F~J&1-I2uETupg!L}ep!N)ZrIZK~`U+8CYqkYPOhz{B^_ zd^=%abWP}~mY9+5=#&au5oY$prMhfF5Wok)j>-urMQ}X>lPmCS5WK8^i&%0Z(oq_PXFPmW;miZ z5m(VLT5|P&Q6*TfC&eGsUoK{_@R~#e=OXD3lg|!rB!ImLN)@stgVDHHT3hjzjL5lM zX~#~QF1UB@mKNoL=4xmj?8;eK43dGr8a^bZj71}G~BDT^4c z`l+0!cN{m9mQU}6!f<<;L6HjlO2Yx|WpP4){C71p20F_xGqsOOj9*11Nr`(B>q8+;*l%$O^NRlo*tIFqznY`y{tgwuqMr&q;xHejXmVkQX9LIU zqvzYoZyT=81qiYgXB5Nd$9&h4zsLyWvly}I2XfNvrxZ7s>T9UJjgw^&&N!2fc2tW4 zeT8YSw}2k*@4B5BR)Onrf86!?I5+m$W(5WX{a`|io@2^f1k1t(G=S`l&jyU? zi-rO1p!jF?23+TW9NiSI(zw@DsqOu+RlYUT822%m+YO8m*?(vQ66M+uG%y+dJ=ZjJ z)Fccs^7x!Mr_Ws{p0f7%evM)Nh^QKE9=<*L2CMh>;! z6!Okp+aPOG9v9kD9|OKZ8%8{Kw;rrfP0TEhwDwA!O%@4Gg}|vTw$IDy`ga~DJ5v-e z!mtZlT-yvrOnFv=79q+26UqTdV+y;;sUvf-VW>uhWD*Y3uLe!DTgkN*9h7R`ju{bg zGQBQest-O(WeH5+%rUmbyM z?u9?#)Ou~txijn9W;h{1B&)lF+)39hdfGwQ?FLS+4j0qYn1lN=+1t3tCT+XZMRzM_ z0BRm-r%_l@=ICx3?gM^6gyTRNm=9Xdy*~&~zpPY_(P)sb=EQt1t*C*k7N^jsG@3tQ z%Y`#}64xd3IA>{C!%QJK2g4;{BWhCnRqlxh1r+s^!-x9&EC-W1UXg>DEOyr^6e?$m zZEywcE`6gG4&?HAb|-rn4b~zj)#C zAJn66SQRg*Lz0^qgScB+)KkEO#HgL@N+#n`QWp&9EL`JR?J9jGbk(h`LkIBR+Z34V zr^m)_2~Jl4u>@Oex#vRMS*dZoT%#L+2ziFjFM#uHex>U50hKI!(=GwUab*#CF#!vj z!u>6$>D9(l7nYDSmt;THux==YZc`tpr{0N=hr}xKS>JQB$T`P*JxO!6hS(u}`#qou zrKexE43TS@(QQ4K3RGC>we^C3miI#}Xkw9}x}QiJ&|^8E-18BX#%I=rVscHLD8Fw2 z1)#II?PA!|Fyl-NqRDk9t5kP)4xziiNpdTwP{)d#oZrHhg&SVrVBEf71$i|y;39#m z_p~v45)wH8 z?h$^_pIU^*VL5ERSR9=BS=950NHGHGJdDE+Mte5Y`%{1Fx1=H|e-}&HM`5^0!CF!o zw9B*-nh#jOaeaMZyHY4B&9MMVyK+@%2_fe==Wa|4yuvO|Qpc_F4`ofcZ2y~lcIi>U zH=|+cv$^r}KqN_@EsZeJr&2rImHc&HDrGU8pFTCAuj;ddwK?XarEuVa@JGP(JeAi)W(0fUmWeDe$Pr`69K4{MqCZhN)2vXr;ClikG-a;1tEdgZ<_&g;Qw^O)x z*GnyU5m++Ym_cbIaE0yOTp<&>aH8lD?oYm1%{}bbYAHBoDCX5zVv&3_p{$v^Y%e|x zql)8n?WOG?i*C{%EFcn+cHlCsc8HU0?hBZCG9IX#Doc~>lad;Jb2_&X-CH|;(e=9W zC7YVE#1r3Dh}26ZHw5^2QVhQ@cH}p+z_cQ)86Dm}Ujy`c9zGea24uotss5q3o$QMJ zA$o8buAffV%T$vB3LR{@fMKS?w?XI9UWw#m0=7&?No(LWr9VN39u1MR;_a6c8`4f< zFXfLg74MI-6k4sGE8HZzGNInLA%#9|b4X80;44vBH<*BqV#!UGm~3*tC&mUlSyi}c z5o8Ae0tIUaC+^=XeEM4laGy?QI(mAX9tOX#vQKZ3^uj+mQZ&A00ewL=_{sE~J0M9J z*pVNS@KG1IA10o%DFas{LgKX@YDc^)XIX0<%t3d*`3`DPAADG>ojb1!xiRYfH)`iS z%M!UHDu{~Okbp6gSW{`e>Ir|v4L~Ye~2Vk#MI0RKdW2~v?OhJ8@{|Q|8E$=!a>d4dr%3#^7S)8}ncqLX&=6llE6qf}%GQYpN zVEpPL`1Zps&z6NSmjq2ybamLq1iMj0(!S_1IUxiQZ#nO3*nVM+mHW0&@~R=!eF1a> z>RHfBr50`CZL2MeUNojtcPT(AdfLP(V*GwH#=*OugP36NDTs^7{Z!}*D%>D`?L-B@ zEV_iYH?>Vc6e4T_ZZs@BdgZI;DnbA4S{d)C-KJ;Q9eGZTofvffYu=Y{x2P^15K}8d zWGCT%v|3Y{csVB)FOQ4zn0%so>7w|(v62LQOpXo)??uk}J!qaIe%F7{Q1G~brI!G` z99-(iQbEWto}KZ5t2#bNEQ8gxJ@vtHdeA>YA9GF-HGI!q8qhc@D zFr2fkVKOkL67mia!Y;bzzl-~}HyfPyb~Ri<@fv3QUyrC)Db(n&(ql7fpziVT-F6c)RM% zs-z-p-L(M@O|e=!mTGfg-E|>es{fvh)d)lV1Dsw|5j8X^VF|u6;EuC-rKs?W(28=? z1|-Egmp>l1&Ts`3)Z(d9TFCsk{+m&_X3VZwdBD(sJ8}Hh-BVctyHmuy5s%KvTARm9 z<(0&atNJ+TgG)=)JKaT{HQ>Bl9X5(1T-%JIOYr^SuaO?0BWl|2~t(9kcyVLfg=vr-q`L2v7Qv6ar2IqyR(dB`E z7d|aCjg2?g2bJ`S&+OF|Ur{`X-@z(5LG$Sit=WLPM3He5W`CE|t?BG949Gl#6&ibn`9u_I{85_xekns=1)r|h^Yn{yB)NUn zXBywY$gjBX{lVwU@t*;eUO%;9^khK_>}AlQs$` zclk!)_iF{YsD1bwZpO;}Z>fS7M=z`lN-%Ec|0=mR;1s7j`9}Vg86N{_EC(Q*^Pdjd zg+!iqt!lJ&4NIcE?|^NdfR0aY6U)>S_-v-lVliGo%9d3po?rRM>lH|Ar}br(YFGXV z{&YB4?za?7obF#aA-w+WD00sYJ0@i5{VsS8k#{_O#R$KEV5fUC;=I_kQpWcgkfgxI zcKC-bv_3T5uGy&cTZ027#dKP%b$JtaCHr68xtu!2E5}4WrX)$?u#tz`Q=o6LT7?{# z>EXI)PA}a2PmQ@nm6az{Jq%v5)yXHn4&*UUF^2&&&9O90%7dS2j64I{yPJ?2=IM&G zj3>|f`lGX({B^8Z$RJ`@9ZLk;c89y>Vn2g&)RVY%5Zh+>@F48y#}hZ;#+ljWtnm`0 zT8|^n&N4m{3Kk!cfu#9UrUrRP_&50CYwME^op57{PWlJ@pN>b3z^~*0+lmE-xC0Rj z&rl*Jbh)odb_!W(XXB}))>Hq>p|F5JvTQk3FLZT=VzIKZm0TU0v2Ljd>b7dY;T@>{ zPsjUvvXGQ(KQ}w-*eH$R4RzT{L<~?_SJcWLSnFtv65_<1R_hWMK{Gfe#>$Ahi*3~k z1x87+V8Z0ANQ)X_Nh|bzh-$91A$of5{>cF$`(2G!t~RaHC0x@M(bFftehbo(dk^0) z3MG=UeAg$<200{H6mGXd@B!YhfBK>}ZIHG9;ytsXuwgUcarX`+V5VAqguSjThbhEW`XKotp!`RE2?IiXY*1!8 zVfqGbLE0@fqH(a7^t<1O%rsYh2PR?DMweSE+4zwD^GDr53lK6KmLv|1_Zz&#^XcR( ztYb@D2_cugdX-8=kdidT-Gg$fCuPm>vIhveq@-c`I3Dm23V<_`_zUSF=UNVCMPF0A zlxq~Ux^%cNxb0hx{IA-+PB9Z|(s8$uVB3=Sf;d>A0G!G$Nn+!akr`qjlY;wA8yr;s z+%9NNZ;U=HC~2lPp(txlPbRuLiewFV9Z!r?WRy#kb0u9c8Rq{5W0Q$7=6j$TcPZOW zVV`Y_n=^8y=I z?Q-J#9K0?b6hgzRT*f2vpsv<5_lcV!b(hXE7~tZ4)ps(bbTWAVu=|M&JZ0vjtbo+WZ?<39&Dph2_s>`V93H*eGs@ z1O|Q4PKqyz(Y^uC%}cM!JI^O2hW1j~~iKi4dJwBCWZzZl|n82`CYY zL?2Rr=Epb5%(w*o0%)f#aVQKKH|dK zgHseLK;1RsDrwiajRM>U@>NPHB_D#K1B^-bJ zEy@3*fjkVDm0mL7PzD45g@j9{u=0tpB=GAEH`q5yreONIx%5ec7$Ao^7`z_$IO!^6 zuOY=`>mTA2*HyT_C+&(x+!u0~wt^wy>)&N;vv@}!jE{F(AK>XTsLnZ@bJY-a%iOge_Q7Rj&nG`8_IOG=&9f(y?axeMT&J8R};0I>GP}+ zk3OuA`JFTHItv8KSCiVoX@R#eX2YvDTbh1PhFDC422Lv1X&h`CvkQnX9iiJ|Yui-< zw!tiVoAX{Vmm{o=kohCPatM0Yto{})7QZ+6XBZdbvhRkP_)}PFRM`Y`S5X2MfS8l7 z<>*eAucd`aNBRzEPAhc5j{3XxnxVmXdnHx-aV=9$_`3u)q~{&VrLV zGt?;T7`PEJIV~?%5`RuUb%r~A&Fq1} zOm`&I0g#70fbS0WK==o!>F zUEM(sRfF3*MO=fwsF#=WV+$7HnCWvJv1P5_90L_{PfF36a{=># zB@6oY2g#%@Lh8x0$ohPO{N;G}KC9k&8e89YBrzSm*Fh!{O7$3lenlrhi%EyhFvz~f z(rIp|1y0GvbDI75vAW`K5l89(YoO42bTIL&GC{>)k=|R4bxqdU$yLVhZS{A64n%gG zt(U(=1lllK=~talAH`)g@D|ZONC{# z8)6OG8dKKWq#|4;$;ZA{vl(f17-JV(#narXq|h{g2cmSwwJyfT*gOq0WCoLLOMG zF*N;z`-WQ#n@~jGQ#lN+Qp@RYHvt;N7AGx?SyWV#_r^mZ83CHap>Gd4?X05XLzj^= zrQzz2U1gU>%pUxilTpY0=%jupBiFp8b8k_%E2-x6$qai|bIM2gE2uT0dYqQD6LAe} zgT2jX2@GgSiBG!c`vqfflaDuZ>JiZGbH-56KWzd@#VbQ)b-fGQ))BRJOZE-}ve7PD zNH73Ft5mO1zv1!T^=^x`m8hiNZ|zYV(EfoLH%UnsSUd2gza;j8a9LA>X{r^}eM++- zI-n6m5GfD-fT+3gkoo4ZE!(?NVAYkDOVB&AcMtCs^z_&zxDR_}wV@y7BQ`_JxRNQ% ze}oPj+&5Ue=hd0zL^D(*FPGvUd^$%O)VOYVDJ7Wdrz?|-U-8XF>m-OJ#4G>&58&i@ z3CPos_;YkoQ#nG}Z0PZY5%Y!_eESsYesyxNB~X39+3ptsFeZK1S~FiK8t!$apYsNl z>NQZk|2y9)(-46_)sfAk{+Hl;w&BTxE*xcG7;v}q1&yIkXk;i<3bf#;c*q+lTSfa; zWhi313-3#?WXm?5KUX+zdp+}O$bq@73ktJ|lh!4idh~W4ZHCK(O&Pcr4NP>DpG>hc z;lh0PB_AMOM2_@A3KE+x(l|bG-mJ{n!)<+-$c9j}CE6UvPi7PMN5LY4^J4@&HYB8d z0E1#oTsQay>ubzIizIvsAOwA=P2?}xO z6^Xh8Z08Pv@i9RHA2SrLd?a}e7zEp#q6%)!M1==M$V|OwLU4H41kSU6x8eP}PkZ0q ziNmT|oh$8q6YZ;K3IgEWqTtvv*Li(*vSs4YijCF2T(gzNW<+7@EAC4)> zi8aZI`LYab8blTlLmbhh>iEtpuK}2)0we$@jI~=p9RjXbQ)F=yhbpy@8K@P6Rm+g1 z_i^FS0)T8?AACEWl7BaR7$dv2)eR;9gT+Az@M@T z6&b$m1O&j59uw;{jDp^rQQm^o1jg1iX&^+0+9&23+_2-vs2F&mey>(rUm{V?8f>&b z9KXX=*xlr(RgWoIz8lMGq^CSgLjmuO?tlAk3qod;RktmG4gmZUqNi7}o2(+fG6+s4 zP9_D8z(VgRveDjiI5=TJ-rgLr!mEQviYMZ}t=vR#Z4N`E&$hVzc0sjE>1CacR*Hi+7gV$XD9Pvukzolg%oE%> z>#T@WhU9FOvxze#4SIFe38$q=qba=jjLP{Bqtf0{(WIvNm7~oJ-t-OrE3!$svw`ma zu6))aY(j_npCF4E!!gUYZ5Cm3(5-?NBorwk$xn0rf5Sk{zgmfj_wU8(A{c&HXL{X& z?i3`oalXu2X2Z<1=wDSiWz`j>DLAoIKvJ3?oa;SvAnegKhE`Q zZN7g4n+<;B|MsNBebRTpp!`6Q;Vw;t}KA?FS?UF(VB!f4X&JXqvNd-}n zPh42_Ri?w>^g=uU?H?d)7cLY2r1$41XGbHG$RgAZNXBFV?PiVnkiT{yXm(F&h)ec$ zTU8tU>dlA(LW@f$yaehb0CMhP48UO+g3k;#7=;r_#&`sU5v>EMkl$n!upsXS|Zd0$Vbt=QK17ITlz*5C)$|pm7N|lQU z_3&E5^aUaW{e(4;+4qrj9I+UN<{|KaREpk9iR5f~`8<|0>o!3CXg#gg(;7}NfMka| z8Ku31zb3kfJoltd;udL$;$vdYHKF1_*RORGHjF-ou3j$ufTOPF5(m~fngdY={PHa- zCDVfCyAwx>X$&>ZOr8knW@3L^o8O8oL<(vC8zjSEL51o<8eu}T3bW4(-woVRy;G6L zElBZG$;i%naJ2{vw03uDi5o`&PU2#zGsD4)?H`Ym^8WxeKD1suXF7UyM6JF7A+H`! zP=_S&TY`?K2w;}N#?V;aPGJ@tWLM93vOLkPPHM59F&_r5;E*)l$w9Db)bmc-->L_L zHlfmxl_G2Cn{#!5Kx~$6ft-n|UrZ+aoJtpZV;EBq>;4`E2nQh0x4Iv$XW^7vbg0}{DYw|k?sM)RSzKWuzy zQ~Le3Vxq#l0nRT}`fwftXn5P7QL}I;Im&MtIWcnQ5Q z&NuL!9VlacgbCI+_iN;~5#@;j6Vy*`L8B>+DP<{8zewx^+^h>b&lGXJZ8T#FZe3 zGD`NyGfe(>aG*-W9#{`$xfAb zb1NZ(0l<%-v%zczcA*l&k~MfG@@B*;_L1W-#B&`(ccUIu;X=}osQSDm0e!XxE`t8U z@tOzW(ZP|9hLOTp(xufe2+w}f43X=XEwf6G`J5h!N->i1tQv9)pe^ZY#>xAo#!u&Pjjgu>yP^^U+B6lNQF>tvNB%03v z(9pl7w7k@O?~EM5_}hzm!fo4jG?pzbF&>>}Zzo0)LOUm@gEvRa3Imr9G!2Bc!Vair zXs-cGq6)Zs@v4y2*9;r@Czd>w!ub+ISLw`uHttM=OtXUxKeTKQ?=DDbdDiwjNIOW8 z7n?eJ?-X;@VRyfVd*JpSv8NEtq&(^NHtBcb8yD8g7l||(u5^DAhkrpMf*1tDG94Fc z@>@_m0$?WGkki3g2hvRRef~rdM&oiT8q;_r7bF1k=dpq8E?}aJd(uOuQ-@nuLNg!jUXA6;aqH+)C4Yc*&Y4 z`!b}0?^8SA_X!d#zR6akuyTPI_q+z6k_eZzj)~5P^aI}OB!|R<=W*sXxVG~%yKlNc zsaK4?gmrO+LsA~zams&edz%yED1yV5hS9X-cB6qPqZ`fxUZ2}Q>^@m?D@GK+nc_UC zi}k8W19tMW9YNal@A84B^X!PE&;MB*^4Fbwo8;{sQ>u5R0e_@u>9&CXpDw^)Ri|)Z z6%VTTlD~$mb1Q|?R1M%Y3q7`2wN2uG@{$n)0&_Tgd7yO-3p&>YQj7yfC78oAx?1?G z0~N1Bs3m`UIgOo3K{L^3hXm8Z%{zH~2d|nU^jJx+yT+go7JB%26EZ)%6P6oz2?YDE zIp1XAMa|3gL*NtRMC75P*yMwB9WdUJc#*^M_RDjA!!5Md1E8gLA!K!XaYN$TXHj;`V30qtxp6E{7+Ih0f^HNr3X<~5v3?+D{6AC4z&MT&&eN! zrw0JS%tXigQ8m>&bY+U-!d$Hp;QRsWy$KG%xSE9WT7)1uO zxxFVf^#Vkb<1PWe8?PJuNgU?~FGUbVb9^z2Tp+ zyW_ry1LURQqmgjT!GcJv6pfB{4<4>siWp;bxejnls| zq#6sLpk_ARn^4o@)2xL48-D8SaWfpd%!2?<);rwQGQfX|Zv{u{p@+iE?lqURm&sm$ zUu*NS?ZzyO$bX%KC>#4*PT=5>{@#DS=yrpr!QyRvl-TD}>PK(n#15(qJ)E+g{GFwp zgW&h7)(0|abmQzt#xc?(6k>z#y_q5dG0pcQoEd?Lv|eTy^FX*LAF z!`tfH@uq6BOQ_rV7CIUjsZw*oxhXgoY&3Th$4^Kwl1;}=bp;rUf|}QnYNKT+^@VH( zBp7J_HEqN9{L2sE{8ru4drDD*OId(2)GAvykbq97t5!pGSEo*KeMset9KC+^F@%KoZ7yG zsVPpb)R1{oG{W@qbJ}W@<*0&6(nbK(L`k}pSqItNIH=^TlO)X^1vkyGk+x7I1l`Sc1O20hwp zJ~7lWef;Bbs>W(X4j!O4dzztxpdB~yuZOg%ZRntcgK}07{$BkSQQOCWQD?|hKy+(9 zhtv$tBK_9pPFQTouJ=#RijnJerNfx|ziEuWBKv5<4aENp22XDb4HuB&`&b%{t7pfi zHnjB29DO+_3AOyITEw;rKr+{-jMptPjIsl8^oxX^hl@pE1R1Jf4GjcCs7m)Nu{r7X z=yaI7%?Q)^``ayFRf92XRr5m+Qo2MX#in{HfPZPsAG?`p3+MS{)+|vekDklfGAv)`Cd6BszOd8;}zn#YC z1-H1uPm4b2@T+}Yf<^iL2P%R5-EGjE^H~7KLYF52oJ{zMrh&OvV9&nRNYRb_6_^eOQ z(mkhI3B6pF!7W7olKW~=`7fa+(A-Ti+_3Vp=}NoFQ!>YtkiRi2OQPnf;!bUlPm(t3 zGTcyk1L=j!2MzWHAft2NhiMH#2E{a01BiD0bStqH8-Xs8F@sfpC@SK(3JPX zSK5wEmW0PnJq^f!5GFntd-WqSe$5f5uIxu(s@t|DW64MYnLmM4ez6@6|j zu?3~rg7=A>8o*B^?J|PQ%v;T35<8{U_hQ( zKQxVqXVQd63~*5A)jszn6rI!_xOQfW^QhQSLo90n-fR7-fAM@Qz`cWJHaVqM=3mT> zQWL>yh7|rzkE=EgfL?|=$K;O2&gB&VXakLPU}-za@bQC+;c2=NVt+E2{e2ahhQX?h ztGbt*!Ze$PSMh`N#HSK6L5TWyE1s5%oQ}T#hAM3GR0GJUXP~P+S z#L%IwnT+?%*jxK(<#}T>ClA}>apIQ*O3$X|wA2@i!Qb%g;!?@cV4|Nmlc+QUY51%# zwq>q-Q14}gxZ;lo(x~aoYLP%6rH}vR;9L}wBR+Sg*DQa|KZBDsGSiEKd-m*}F^Wdo zFZstc&Q8-CN1V_g|KHLOL~kVq6_OMjAuAPzX2iBzzBT=UI#C`e8-@7Kl3#~dW(rC` z{!U5d=}kyZAWb{ZXe1tz6!$?Zm|4RwK8!T%^`!5uLcQE^Z#q8bK@V1gX~dp{7K9u8 zuEH7PqjTe2DV~=o4{tawQr^$&^MX<&h_Qu!%;92sjpws#$mS%Ryy_r@D+NTv>X%13 zZ`wu6MF=`s7@@95h?Z;=+<*K+uMB-=E9pSF=X$TraTfAH((g zBK-Q%KM5j$F*QlZSTMVlr6Q`AO)aa=fft)iQCpn9c0_~RuVmZ4PnPS-g1x41vA!4N za6MkHje7r`H)F6Ik4J80wdcq0G~|OJrpBF#-N^R{LfXvzxAG`O3^exn0>ZB z5g2s9J?+pXZjq@A`}TcQ9nk?y39KNa_6?{V+)zAOr(WZ1hJgNH^v*xM^Ic9A4wqB` z7Fc_Idvanao6XE5D_3Mi5FL^M2qP@rK|>Jvgd|T{w@?mH<4I{)3m~PWVv7VBf@s{o zfepCZ})jrOwgF$YSE35|@I(;^BF_1zCuz5<$HMcgxgOjIG=Nnv?kA+4;@?eOE7{AHgs z#(Di`;6p8BDxSXhX&I;kWNuAu}d@_-$-yr{-WCQ1@q`Nfx?w4~Ncp za$VYnHQdMR8?Yz%@AC}2zD4#-qL~}iZqGM-1efkfd=O@6>J{TwvnVO&cj;l{qQAm~ z$U40bCZlV^fb_RW6oHo)sI0zfV7nY|sQcNcyvO}fKe*iPD0T~Ir&^)blX=_4xD#|o zuS`M0-2ytSRL`TPltsG=j&k`m)ZSC2cjdMmcDW6w*6|CoBiX$vYWBQ!H2)n*$s#laJ7}cwUadi1 zjlv~0>aQXtMv=3I-5qdyagJt~9{ps3dq8#43Z)s3b6`lt!H zw!cSnl`rz+1Ov@85Fz@DEl%SH`hZoxqgYi&;oSX&G#NyIU3b!)jyun9-eo2p2x>|2 z!!O|6uJLnPr4Ky(%d<5n@jl&;#fCVf^MJ>z#$tT-qpEO#R+;1x5o$m+-tBvr?-xX2O{r^{pH zCEz-&Q8W(Lh1m~HXJ+m70s1MI#q@jt!nMvMaj~Xyb+nC(NHAC;v{A)#ouh!@n7iA4 z80_`TUh-E5UqMqNPkLp4vj8pb|6wotlt13@X?4fcd)F}zfSccU+n^QT?fHip)BGG` z98&iXU2N4ZPa-Uj%_LhU*`VkpGl|%_;>6_m=&`lYmp~)HXzuAz!&@d3@^3O*mNVMY zTY@S0+sCSa{l-D$bo+Vy!xBU1p{)%-!E4_YSa-^I=D(R>g0~A5X@P0fqx459R23oY zp6U5f`VSRpeSc+)SaVWD1Ou;d-M1fTvU5a@a-EhLBUkFXf;+D97uDd3zu%Rvfwf^o z>T9M3_J@C8A@QhEN8n4FqpqS2to$91fmDCuVR5>9psnSQ-oxKx11!ap3A}bL$SFyQ zLh9-q>OIA*!kREMARzRfR^n;^{9{A&VWxO?%iWNqXvJg0{hnpvfy zY@eaKeZG(GA_cD(osb3)W6vjS<3-np916v*vQQqR@aB9#Wx|tFyjn0Lk)Ul%yD8P1mz zxgA!3Z!h0r!UoF%_1PcI4(r2x^=ezCwc7hKgAEVgsS_Cj4r?)utEdD69fo#2Y^6>@ zG19keS^0{11lil*2vh_!>4lf;aGOGN^v3poZpRMMIV$RAH{ngg3B23H!|83|+mvmT zUDCW1ei}rzSNsQ1zTR;%lpL%e4!GVdroa}yhK^6e2Iy1-Y}qEeb6?&|Q*!DhdC<~_ zclmeeh;ZD3zUTMr0!o|J&u5Q)fU$}CGpMm&h| z2Yd^kf%4lbDY_~!4KlGtXf&rg#2nZ>)|~uA%s&hsq|0NF^>PJDsXX-u5Ir6;m)7c> zVwD-uP^mPprP{H`EK^2%Wprm9v}z1%qvRwf-Tgb5paNH6ndkzB#V!r(bT`(G7{8&7 zbjqPhcB`qR3~p#q9HkyQy4a`VkrVX-m8{;{>%|LFG;;gI_ zxHuZ#ojOnyxfV7IHHFCV~2C@Q(Eu&ewp6U5ZTxIFvzgNeD(_voqdq#^p)VF z*XXKwP=t$xK?vdR1dKu#0zSBcuIoFF59eXJR_m*BN^(2`pu2!PdFXONbDmw+J9?M} zow+a{0FWME(Fg_dTn}Lh*C>SMh)>#RC;sbMH6B_@1!s?uIG;n+R(LBRHo_Qr$pSA_ z9;HMhZ+suzLHut%Vuy5OLMn>_sCOmBReW3F5DKf16a&}ALFAS6D2?gsvZPGj!78D& zJ@sVZCfgc3Q8h2sm)3+Y8a3T;(DGYinN5L|Ev9G1y zZRf4dy8m+<;Yo5wYi{0?CUoM-sx2HK=H8!u(FN;eV(r28i+L}=nZ%t-fc6lH2qpLp zBo)mZ8(mf9RJWSpv#Rmr4vZOH=xQ?`CD*zHef{mdvtyB+I3MBYS+3ea5auTyDR-uq zq9Zm=FFvB_u6k2csOXrU`Uu*J%PjKA$+3e7H7zw?`V9glaov3@Nt=^U%c;)QklQL5$t zdFYNIuo7To-~Q2DgDjbq$V?UrxjeTDifJ$yl3OYwcAiIE%4F5_AOV?Ou#Mc+0?%~0 z2{tLixSnU_L zLmE1+OKTuFr#<1cTvCXH7!}{{2}1E_@Y%E-v8N4NC3Nupr(Y{s$R6{Dc71 z=0`VsOOuA1vI&AwHkMbBip~LMR?SA85q>ZAE}Qa(#YZO)nRHiQ1mT4j57kdop=9^S=E5^-f$qyLXbz6#2CXdwYzx%19Yl(xL;}cZpc6s= z5N96kLs1EAyg#qXKTPVwkj+ld$ZH8fc$G1tWo|3|s_>3j*~{zrNZr5IN8Hrsm<3dl zh=I0cXuslNG2Q~On3L}TS%+=*$_ut~7h=g3r?vsjLu z0saOKOy{2?;Xee(7K74150R-kItCo@evqJF1z6Nl(rp|h(_NSDf0S_fEp6yUR~@?) zh!fXp=#5)3|g#57BX4$ru2N_t?L-> zyEr;A1z5qm_%Hul;AJRM$wftrAZl(YDz0{z1ZzVNIwEBW0Dnj% zSR>(j$mZBU_%_X^QM+fNXN@2*F{pTW$mx1KG$-_el3_}`1GZ8v|f~D>8oy{_hxsG>_ zbt#Ho*$ANHWN+#eXBWpnd0tlN=Q+>Ft`(_#Njt0Y*+;dc>mKkg^pH_inGbr$R&vOdb6=FtDv*>{S%DN_<=i5J&vhJb{1r|OcOGFGX zKzgIE1>&Y86{SwEKLNvnP2|=sT1KL(u&v{VF>m8TXP-P9`h>5eqLSiuM9*SyEpay* zZCOT9L2;$9?B1!Gj?x%fb~0;$x?JwI71!X}yhtgY2<7cs;!gr4(h)GnYk<1aX6W}k zu6d6`!++6H8p0p$ziVnV4CJ^vVZNnVU*UUC7m3{>Gi)|Ip#EWlTCC&kB`n#k<>Y22;LA4G6s@SYrVJ9j#T$=q zTs6prO*SYMGqMw9F^uZpk2QLfSubRWj;NX!&=MDxwhHs68q>G?vXl!hqw@*9e)CNj za!Hij6CJxrIoNZ7)SMDB{4yfHwzgGviw3zQad6hy)i}#i@6*GoNcV{GibXwY!?%}I z>GV{q4bWe9d^1oKTr6e?7573~K+2`8=$=SlhA7<1>bZ|(lG1(&`UZ8D-i)*T zt?YW`2_I82FIJ%OA({Q;mZHQNM2I0!_Eg8YeRtdZ;UIRG+mD+*BlIO>X1j(Cz5BUi z9t)H=DtkGvVm}{aXp8#8wl{^B-?sP@B#4L9$WL09RS;d(F4KyHODPEcgz~1g_hYya zo@~r)O(GRcZA`Zvh{iLpxJG^qi7hNeI+>Vx+rGem|u`lKBn7%M$yJS9DdR}KZY z0f2f;)$_XNZrjHYoJhSRdS&5h{0t{9uS#-iyH3Nkp*9SY)pk$`2DH)@rYO3lBUroN zYMP(i(6ykfsuCej;tx4m0j21p2`cQW|5_%jats!dr@lFlB;43Zyr1^uZ=V3{b5p1N zzOH;Q>-1I|vaX2+js7pUgp?P=*L5&`2YCQT1V0RreAT-we;ZYbWAMXarj_dbJO5l= z7oJ2_D^kN+<+4V`jf8%+Xi%yU0)yjmYnNN#oERK?{`onulUk0d2lK3abIJTfU>RQf z2CYbCACN10%3=57{S7mTxncZwH@~9c6s87)`I`#;g(RMGhkIW+3LnBd2>r>3gVW66 z(Co$~v#&wYj=|if#cc_FF~_m(Kc5FdV4a2Ma@ifg4m}5$!Et5+%+vQ^X3h!!!F<8% z-CDVS*>PCLBdi;SMlK^Gapy(@9fqg~PtUwNEh2Vo7D|5N7xBP0w4iZ;gdkI<*w3t!+-TCuu>;3otVGf8P4R{2v?Twlc>Df9a~`+^s^stpbAYUQ z268QoD_JAmNh?*F`9A)Ev=RxALQqaT5oIWG$VBSgQ`1U)e$5d9uyjNr;Fi1tGwaxr zM3FT==Jkea&^m$?U%qh+^u@B_wV;h~-WHR<`w?I?4Q_NtEmG+ct_5olARQ9rsRsKt2*$AK4*nI;9C6 ziT!FB)Ye8)MfC8lP`tj<4^GT80T;&|oy#2odOzVf+sOl-F-jO2Y_H0dSF;bX28k%! z1XVy74)&>zc}-m8QjUFELCL8R)u*I||NG$vJfeem) zqEMR`$mj9uVqT}zi7HfJov~AS#mldjbVgz<5&Brr6x&wKJ0s6gKs1R%gtymmwF)ql zk$T{~P0?@%@)M&fWW7k5fpFo@T{75*l5L)Uw7c-@sp9(E3CM?uq>g!CWFTj~`@+%pV%jbA7nfeM)V0H$-%`4}k6({eFA+W% z07*NXX^DAP45S1hCck%t1J!^9a@JM1GNS1EmRHo4!XqRtUc^nGc#FI)lcE4_PCtp+ zapQtt>7y%{Yhpou=VaLUFyO$nsJ(V3#EilmNz8(*F82Y~SAfL^J$Slnmw*y`_n1_& zN3G|1YP88Skq!greMIKwku^LEY8bYi|!E39UospA{1_jEeRXA6(AG1!ejVIeE z0%+i!{b~t&I3K3I(TZrR)}(?FlGvRC9Rk1s7-}wm)Px`twm*`^5UATQZ+ZJlbb^g2 zg}v{X^nqR0g&cQ-;Gr^}*N5fhPL-Lv98ssBgQ8!DQ?1e!BZ*Ilvn)-3>LLbXQqejQmH4o1i0&tincT+rPP!|hJi5RXtdHMf_TW#b zIi=_rvW(;If*Wgt!44)ZW&gHw3SPd$xu52~E11r+0-BVwn3Z~9Dw z1ITepR+fp3tyia->pQP+ahL{9R{X;^jP3#6YtE2Gdj;sDddr+gq$VCXe8B9L^~OV2qzV% z;DLvuhivq*4$SHiR=Xk(^e}XA<%PQ%4?rSi#!pqh)D`IFb zP|l?KIPB3XHMJ@8o@-O~oeBD|ilY_%=T|$GbB~|{S0VhGK?L7UIrKPN2e#sYK@~!N ztr_1MlH{|3MDJZrr z|An)0Voi@#7DVpvG&<~uBO?af&-Tv6>b65V1}=**9g=Ur8#{{1n^c45MpKIo9}1!Y zt{Wi=0ov~8Mc-(AAo1Cq+$|=hJYUL^D8JtdSxcxE+Xm*iQV0`zVS0QE*qBiPKg2m- z79wLNoLKdu3lMhjsCGdd9I(?i32fxZ%Y;_D*f(KD9(Y??bRjQKcLtET2Dy)s_b%cR zm%duTj#I<}6yhnIOmX1-$d27LYUc<87qk%ev7kP#2$s-ZkUVlvxeMI|A@PrIvppKJ z_A8L=pOUBlzB|o%lFhmUWwh_^)vYT4os>#yznpiouz)lrdkfAO&*O?nvvyAib%mJr=!_d4{so}ATB$k*pD*O*c?g1zFZ zysXQCS7?E$g^p)~cNPqlZW|y4gj#nNvW*_id{NQV>@$%#)-%LusLvy%v^RF0{L>hR zJgm+y=0B7m9ox`X^?;N`xpFeEQTIA{4uqox`bM*lq>e7lGYh!%bNfs#`kAP(=R*>7 zGH8PqFtTt~WOYTskc|rfPY=bJZiRFy(C)}1<&4+6K|HoHmc0a0l9@j(eZU0iA##x0 zvO2fL-S^yE6gIM*e>-;ZW*NF~(%>9hS&fkcAL!q0a_lDw$j#MMe0$i#|36+Ev_@nW zJs9C=vhXu33BRL~c_l*rQ$(1&icIx;E{kG3V3_E0GSs z$*KAumZZa@r6!;Wa-Us=Id3V({$cZ98BJi0lP5G%-*d|Qh8znP;o^ONBz?3nCvxQ<@mau!? z@zxJ1ggY|fR`nc>vePgcnvj9gL@_d3d=N+rUU4Ft-h7>aZFhj^7PyyNZSJ7afp4Tr zZGM-_{O{30J{t$F8_=;-o8!|4w1>?6vJY}}{^U@c)uP3IIV?DF#vu}Hy}sH1A!Fgb zR<#P$Gv~~mW2cG5qB-w0Q|^#TY>r<^#=m5OsG5aBkQj$)3zVncT)~}y+k5yrFNY?V zM`cTb-;OaWcwL&uqtZy^ZMtMQ)lJCvbtFfXqXSDT;Aa!dw)aaOxO_yNgCA~Hb10`! zF6hwDSHz9n$t9xg21>H#-GW~NbOJXPiWYOe`5sY>$!w^Wrd?YnkdU@Y0ks+|%}yuL zbCd!MXv7D=kl^QwLk)odqIl^%;#QjtCN^Z-2I^UdpMvg8*L@H?3CP8_@FCKbky|7#Zg&4O3yKezF)KK$xVTS# zH4ap`S-?$^+?`ntb))hTET5ZjFHF^R6^?zT^*$fu-}Uw>nUQrMaQ}CLTLM_CDSbk9 zBz39LhZSPA%eDth${4dPXBgdBDFz%yD>F9S*0)L*aT=ZR4os;s)p{ zIe>qe;?sw(9mhT30StJOC|mzuxDx3o;FhLg{-izm>6Z5})KZ))w3b#-nk=z-B%9hiX}uH@FyQ$buG=}`=iXfN69Mc~%WaYn;8 zQkA1it!uUxax}A%`E;|dvv?;~klS38i$;d(dg_-X7lM^Q}mr48?sG zI%t3Yv%^18Q!kNiVI!tDITP^9rf=#+TI8t3>~nJGa?>t&BlHhY%iv+t@G^P_Q9h&Q z)w+bHpvrb|dtTxEKT25i5S0F0%^Ml)cR=9)c zfYma*``l(kuli#RK|sdAw`Yr`=sy2|o+DE)4jwVw;Wz)82HYw+)e-?t_Pz?@4eXx{j`*u}+u~eC^GC%tFH7N+Dg=M(i8F=TW z_lX0AqQ&x{j|yQyN~`Ls$L<0i*!cZpU&VLW3uRE+spP@fNg4`{(^f{c$Q09E-T9(s zZ&aVgmJ&Z$QyUAc;vjer{IMz_HNKL~9G;ZDJgxdl9kb0fx)J*YV++TG$mn@2Ta*h;eX%qP6Ue_?sK=JK&LRk z7w0$OL<*u}5QRq0mexMp_Kk z`Dy)Eq7cg!r|l*TFl40kgjs=uYrBQ(rQ30vxir^DKb-m(H9dIFF|>_N4E zMo-RW0iX=#38*G=HXd`3jkE!`YN~sr5`yvc4|L8E>rZT22c?@p;V1j9~9K>y;_*XCD3y&>-c zG-MK>8L|@G#joi?b6=4fOv^v^+5Y+o6?Ct&bVqmDJK^)yvg_Z#V=8{})6g4^{*;8P z^;GHo$3Q*NwZHdxO1jq<%nQ0JVIQ-{4n~hOj59gv{qwpXMqBPCV18AC!~%@-)z9OM z91Rv%V!U}u7V?@Z-m0nswjAWUFs*t9sw+4NV)(>Y2Syvnpsuv0N=Za&r{MvUC6MK<@Nh6~h9L1QJMe+hnlLWBe1WF%J1GojfP4ED+s z=&~G8bF<(?m_N7F);iC#J3xiv&qS1gpf=nnx?g#!u%arT6X$-`K>$sH>8<5TW8r#wKu1y&I-dhDj~Aq& zSbzLdN3&eEG{N91F@O2cj4EylR-*d2Vd9+y`ig}T*Mg%`#cE zU%0Qe8X__m<)h>?1p}>#AvwQB{a}ui%BiAUp6IKLVt_;UGKHzY%8|XlfL1o+^lDnt zZOm{pSydlU7oJpu+2~J$$)hmhR~(J~*@1~h<_@rZQN1kCuL#w17rNsyB>xf*8gcJtWP$=urF+5kfqXNnh()TADFy8M7n%<@hz&)65IcXJ6VVh95C*K-#YB6=453^5=Tp zOBox)B1(%(#h~EZ9}*?gp^y`aLD8vZ`}7#@;(4Y)T{EC~p2~|j2hz{F+{T9D5J8N) z*7ws6so6TI4eJBwC9(v9(``0ZdW5HQ&(u(SXzfm~l|_2o;qTi=?;wJNxsi1vGPXd`tKl%{?+NHSG5#<}`w#Sw;dT3MtGjs^|jF3!nWWEW=&_SaoCh!PnX(OBjg%jq;k9so7b9AgjPL#?z@a;7A(hA-nA$RgB^ z_qopeHRKDIrYUpvd--wo9KRLxkw9Tsf{T4X1~V<}tMDEb%GNk0u<8x6o52M9#qWh# zM7y;aldF*);R1=>xK0c>f(7S;lveZ#oJJU^J$m*do@5)Cl~GU@XalXkj7XOpdlFHjJ7wW@-b!JDGKc|F9OkQ8HTZta+q8+1 zz2*&2_aAP$t1}Fm{i!Li;#jU~*S?1NSFOwQG^a@wd5h1$5|uQZ@IF)q=o`+c%Y@#o zOF-x_KXm~{9d8B>s~`nGiTL3o+lYrvO2C8zBeLveW!Z^h`&c}}+zNI=CPgq!sL~+w zsqz+xwCJzZ7McvI^tM$vYtOz-KgSuTcnecR{oeBPvfDmhksJ2d;EqBDkHCpThFn+z6eRNL?+JgPL>XM7M;^n4mFwS&xEGus-cGp`lLt% zH64lz?uJATZ_WpEeWyExzdee7->ZDt5mSVJIwRdWRcIs&>fOEZwHu4L0N`_Ga#;2v z)7`xrr!@Rvj41V$@5a>IqR@FKWYl#0**%)=VLfO=Zc4RG(d2(^oKt{`{IW7Hx}N?N z1?l}9etO>F`D2!vI2n(UIP`EjuuY4a0#Yq@^T$pvt#Zhc~I|hj;0oY6Y*O)-46ifXn;hT!xdWmHxr@Fcg;> zD2EeO>nvX9C`sLN->>7y7qYmTQB#xmJiMG!NLi*5=$H^kvZphdGvZ2;5BhidMjBg3 zlY6k4@vBb#;|e;Lx+94{-uGPv`XBZ)+!(;hTT(6gc%*E~SQv97_r9bmSTIA&HT_ls z76k=Z@P0oJ8Y`(=dcex*M7&^9Q&kqM#|Q43d^7rC0(1l9#ts?Z zRD?aOxw2nvBmM&-?@KF6%)Eq$v9)>saC3%jR# zhX6dO(pru4?4%O&zkKH_GR(?WottrIme(|1Kf@sp6c=t|rRGWLRSQiD?7DD&Odf|S zq+ga`dRhis1OQ1OK3=LE5y^agX-*2S%yD$ZXe79Q9C5fD072S|G^{}fNYhm$OK^6=v$@Im_ozx1y@1Zu@Yo1*eft;VR)Yw zytc2Sb;kG-7w2As3dmn9i8@6=r7q+4oVEM7Y@wC8I9Wv)DTUhT|*VJ!|L zox=b(ystv$7`4Ke{);>TW@)iTHf5eKyu(zsFS*8^^>|Tjs)_UH$ofYTn}pPLa*@LuTb`mjmTU6?_U38W{XfqM0rh%4$PrHd*zUU+F!Nd~Az+ z+FYNWzKPaUh=Wo#NByki@QY)`LwZYDG8EC>rfvPMGsL88a%W1J9{ak}7SX3V0B!in zFA>_^)Tb8oCv#jc;9`I_*_@lzS^?I%8El0npgkX+iQl^V?D}j)v9sb{l9{ss-;1Bi zzEILOU^hJv4hj3NyLy;csrc&3*gXuA_Sj?uHBMshq`dJw-=QHPDPJ$K0EdGLGCXjhWndL7V& zt3PG?xArmEZE7*mz*aEQ$UMwl;QCGflTKob4G#LvY#5&M-9JVp+4xrWc~MtDn@OGp zUoviJyu=ITXbRd}Uii)bcV^FBPeW`gXRLxrLzv;T7Q_camb&Xb8`krfNWg~ zhr8R8r`6=5d)h`etQ+6#l7KX!qw6Izx)GkCb-~X=nH0q=TTN_Q7Ru|gH*M{A`nBu^ z-C0*RDn_q9kpX7hu}r@ucd7VYzBlNT4>Gp-0wgVeU zP43HVSIn|mf{mP6VecAQl{Ab7wTp;klfqhd5+ZgOeAgXsXU%YOedN*F^(f4+MS4tw z)Q5DbQ<)VUZO;p!Ou>l91fO%Sf8`MqC~08|>7Z6bou&2Q^t6)?!uWoBnKaXQ~1>kg*A6@eaJK)D>Vh(bFHq_G)=Qg z`}n`a{%%V9w-HgW*J`6`X!b8F4!5X5n@6=VFVuyUi!bNYtQW=D*qq&VpAwnCDqkyC z4%0AQ3HLG^Xj)tiasw0_bB6HurQ|`SNox$GKy0PH^*$3q6r2|ED7>l*A&7@zt zoPYfzDm9SX?fAgwG(Tp#BW#2iYlE2F+qhna>ImeFU>hqY7MBe=%)%bvzB3x&$Qr_? zF~g-nw#^-h4DklXB^B(a&GNsa+z62YwZ4Uro@0kAE8Ub%`1rK-2fRoG*0sB;%H^F& zg+Q86bThTM(V`DE6E4|d%U)}!n_po0O}&JVy{88xPZVf&9HkkQ&VTW)6xKBAk1=-H zsI~u#N(bwFKXnTon3-6HA582Kr|~i+V0ais=+WlETX8Q*&(VJerorWC-gsy#CwosB zfg^K$FhXK}kH1jRE4dr19>22?Kn#-_GmG@dmO^`s!}u|`|BE!#G^am2P0)0&Q_JHG z99MN4Ws~ImRt{E1Z9-jAI!aoxgq;?M!qx-{^Wb@d;_{TW)%pVXdK3O}e|=UW$8ljk zzP(r%rPN}Q9C;zktIqB6Q_{dDWaYK--IVd{osAnVp*{Acs0x5mP^(Co3Wkk6HEy1X z-0=&QymI&{Oa$%_6+X{{_v!Gv+rK`R-z*rQ-8qofbSw%qhh{eFK(GUh^dT@_%@OZ> zqP0S4jt0V~B?k!?* zq}-Ua#C~q&PtFM(C+)J5xtKV!>i1wKh}t(dLrL$uz$aR-?;Mt~GjEV;*`bd>v1par z(?E`U8O|)2`K5CZUhNM;uPh!kL{bjTmWY*ci3R~0x(saA=79gY`|)0h_H89-BHUsj z0mgLy{*jej+tD__72UnI%&l)iX=^d!nR}okN%AgO-(>hIFxI=Vi6H1h`;E4{{rBpR zuxA!4(}J4@7OoY;FPw%_UBkdbN+G+ zvO9QsD$C1UuYe|n{Yz+A2=aS1kHZ$u(X{rIu(@SwD}>t7Hr0x#4oQ4^E`+y|6hGF3 z1*n%Xz9XqJU8)B^YoL;!3_YfjE2&1us((W|{4nE(upnHV9dh1_PrCTsPTHaP)bIr{ z;nD#hj7A5pJObz*hs!x~pwyV$zl0;dhjFD)7xr#`+mfhRMZ%hg8dF$FFsthe zuh8=pS_GdKUbz+OR&HXuSwf2Zd^x(KXjSM?@P`Rw=V8wbpDLZ4rHaembV~S;U~(=6 z{lrtzT9l~$kGa|vm^X7h5(Rg_RJtsKUKC0g{$GL?#pVN(aljlEeo zWH!tI?4qPYHA*~1G{<|rz*>bN>l}|I({Q8;mlPdWd`{i!10`oC6HKfV_jA6l-R?V^ z2e0ox*M;uS1SOR}w^Mul#$G3)nf@yUj_0Ft^^e_Dz`~(ikBkJ;fVRR^ZASFIIi`uU zJG7i2*enF9*=<*EZmawP&Gw38RcehPitM=5u`V3qwjk_BBsoi=m$9VF_UhO3BZ;CS zEh#;zs;El-o!O0^^IxIg(&Re1fgv*~0FUA$0u${tyDQNI15{JZrETF3K{;`1z)CcL zG5c({pEUx-`Bm)Ex>et%Q8({>6Vd9!wPhMM=iMSsYH?o|4yaY4OwHiQC59S16>Zcf zp6>nWvzL|{><^2jd5Fdoi0zP7h{g}H|DGgQEHCz&Ra`StYDPR)#K9zL{gn=|EvfbZ zVjEE$UWSJZ{$EQ=NKfxyQ|Kn9zh(XH!{SqEXWWYXp{{txxjM_ zOiueuPP_MNwU*zE8mCYi)tJ3bUBc(2(@WdIQ#x(|+ngUR@UQxo*dD89k8=S(bV0Y* zLBzA9b)~)eOg1`j!+yQtgx?ytkr?I1(sZSC^*%Jm(QuLxG4Jhv9Dh7W!&4KbR|zTN z;qB~2GeObVTWv9q9Vd+Vf*13sm<7{$Ak_ngvh$KLS{_qlK1%^6Em9yY7^lJ3)XJO_ z{{#i&Mi8A;XK&&;JxL+iM^06+Xz%-QHofGm!+8~GbOb#g@-oz42!d_v#o%S}&G~mO zZSEIBhIJ`tWv{V-6;+KBEm+M72ouo_tj2w%pH<@^)PwY=D0EX^?vRM!=T_(%RTm z@3I4$OFmM>sn3%cmo*@WoyO?5;)c25gDC#xE<0=ve;FCvZ(`(2exU zN0T3clM8<;iyF%-d)x?Q^cQ$%k| zvgql0?;XSpv#4v{0qjjw&c!%MGlgYDBxJqvJwhb8A4L#C7SdcDu^U{dmEo`zD<+I> z3B*L4l9RJP!Mxzc%KzLeCrXxwjapDrsftME+>gvwKK!0OPe|@RrHq9R=PJy2;$qLM zuqY;+zSK4a((NIqe)jacA*C*w{7;kTia)(HTs zX`V|b4h@1?>O!jjk|8Le6tttZ@vGQXx|IDxs@_t9oXD~4i*#~dJjDm0N0FvX#MAzh z->b$~q81M_Nz<+LOZi^7Zq780*xgEZ(6b%-R>j-|zQ9;d8eK*5PU9hmT2)&wunqP4 zWDr9F=K$Vj>OeXnx^YHN_OoEb1OyaT_eM*D1A{P3|2EuIc(*4NWof~l7-`0*lkfD+ zZMNTGo}V4%W@FlgY;NBe7v^6WB0Jz0q@Qr9U|hm zfdrz?UbWi#8M!4^h{CgY|J0YNHtqO-5TVRqXinC}WQ#yvix$Ean6;#Xq!V^21A~Z6 zORf<@NUd-#)rk-ZJV1zqtTw1074J0Z51a1=dfr*r$>NPQ0ZRVvKa@A}Ap{x$KwYFc zusR9TYo+a|eQ>WRkpWtF4=ep3N0m`7nU3w8ndg}sbJ`E*+Ap+qKrvslQStEO`UsB4;OF#LpA{4#)s1p^0 z=nHRRSRX3;6?V{cLqoxB%dt;1`Sw>Q^ZB8bPpc*#b2~ct3x@nsOlw3NrD^p;_-)## zl<)|6d9N7&f7to7Y{-R*H`gGU-gjOB_raIc!3kB!iT~JZJSiym4<)d1a^BWtc87N$ zVg_Jj42j0y?#`%Xqh@y#>|4|Ow>#JGN9c!)hYyLC0Drv7l;EymfSc&Y6XEn5&plV(*>oc^q$)w9oG)Qpr z>#C(BF*QhAM&71YMu)>?^SmWgx{@1KQ@vTnFy)jnUFk!G$M-+I6*qCgB7-tQ&)b~& z&1g}LW0^LGj@=(pVlI4XY}?7`1#NQ~Tk2n`aS2YR+26Gb3G&Q!BDEf4vKTk-yumBa zovxn=B2zx(88t#ob9^`_Bn5e%!BJlPq?HW2VB#-!b+N%+?R_?IXx8aeaNaof#7Tvw z^l2)5QKkdX4NzQ~BpnYQXYx4tYKBrvE=F1w(<$-pS3+oA?zr5)K>tpI@=w3On@03H zBB4G~3^P%O`=U5(K$mKlOB6LG$?7`t+AMX7CF0sXJ9pE8OE$~)*lsbtq4DKt2it&{ ziRPB;o~^C8RFFISgXz!c=uLIrZ-mY-3jtePe`)kwsLped+FF-dlkMKeY%Uo zQm}B`_A1+LWJEiTb`@UY^+!-)f)>h(^z0jm1Jz!D6Tk);tKvK>fv2$w3i)KX7ziy` zK)o_r*3)gaGZJIH|3R$$J>4x@nKe_psr+Xmp7D2C_D>@Gd$MY) z#LQD#C3Ntmp2;A9MUZ)>Jr2hp$qvSF9JkX`= zRZ(4Wu=Z=npKgEfTW}AZClNt!5X0Eo&{h|BHxl;*IZ?zBkyfL^(20lf$fg1WJ*JYj zfZKGhak!%r!&g(lGX&bGbMpnCs6ffB&B5j@%+|{5CKc}LN@q4Mn*gzEYYLbkih8+( zw`D?q12BiOL2FqwN9|X2CM|^y5U6C-P7;eF6Nzd~jbZT=vst474Y-OQ#cc?fC`1Yj z?nfc$01PeL^~OCU4Srs`+)seOTNhH`%je1KfyjptgtL$5(=)4BDxXX|OssH!{oA_9 zys1w;)S12xnu@dT5c`<=AK_-Q(8iK$B9F;bkBm{8O+%kwBj>0_J_g{NBR00pPO>Uy=StPXzdY6|6kKTg#HfSCk9 z8M{Q^KgE>as4hmwntAFOlD2&b;l*Jp|*4 zt$>l6dD~rP)jo4kP0z67-3HIns3%v{O22ePG#T1b+P2{0_CrWX*FeXjUYo2wNj2T* zTwc4VPq`SGq~{{Bg(i_<42UYDpf%tX3^yWmhRdig^rXBm)fpr@UuxcP29%rxu_M=@ z8F@6W7TbIAfg$}g_VavImKUBq;L6%_(RLtJq)GRulfF-Uh~XMV&pY!>3dm0)H+O;~ zOuP+u(ba5}t{k^6%V%lhN+-$r&cS#KQF1%5b$~;0<;ErCK&nGvWdA%ixVZsy&RY)B ztLaeNW`Chq_ngTtR>bI4wN-S7nw9=gZGWJWppj7H00$&D6GdkGqrvt38e1UVBiy^%(kle#ngA$)B446w zOB^rBE*@a@8syr>HkQ)zrb`q#g^YT^PVwim1CsNy--*dgh*oM~?PIvt!>>kPgae0?gL{dl%5^=y8mht@ zH^Xam)tO~O)?Tb?ymA!h4CKlG5U6oV?{qfVCeB5$HrXDmagb%R>wDiO1MPc!R>`N? zEj}W_Oa=E9W}!jks(uSUn>n$rouFGxc1lQK>OzZLo?eypV}wCSEqN;tTt)kNu(cc{ z;{ZWgb*-DRa)KXE`;Hj5c{L0dm?KqMe%+yClUvrhlnL!9I?=x&hSGMRRWb?8;?9qX(ibpn`aR(EkNw zenX~|ng`KTgu}qV2pKugikMoIAk$u8Jz`Bjp>~e?Pv@x;J~x9db-CBJKMS8gVHvd0 z7T#eZlm4K{ZM*AQ)6Kj#cM!7;h}CV74?I7*3vi}gVJ&jp+kI7nIo3x_a|~C&TmDf(T~cQ*d3ZIP{#=5GORV zetTBsAq)ohh&mN6p(F4WB&fo-uLGMIA@w^tHj=KtMskT$m5e7D{azH-1jmAQ(+>W> zp%pI!`Y4YE@qRG+4;0@xsP}7RZGb!%*!IWoevS_KO*WH87R&>AGD-gz7`+3PpL!^e zont_LeREYnF@u}K>K-5*u&9%e_ptwiAHKs9P40b<)W03iXuG)d){A4{MxK<)Z<)M` zR?(aFNd;nzL(IfAPdwl!S+-J2yz7Ezj>mxZ;n`FJ!@}nYzcI89ydKLaqgJ3ll-XN3 z_dH!w%Z6~YX|t2CUBK8Dnw3&(T|kxQC06F)D)R*S|U89mnFoVhF| zTSy%Spd4&#G+n-t`20*PqyKbTdagz9BDcd92UdtL_`y5#I{QNzECz|5o-Q2Nj10uA z3NE?~zP&7wQub52KOhH6sWD>&0yIf@O3(~}x>Cm*DN-e@#py^NWEj8&#|B{B*99xj zz2&?)4>3d?_rn3K4GY@ko@%7)F%v(QZPpwFJLC}N=^KHY%hj}Ow}lM1s?D+q(zy0N zZMU`VONngA*Wif6dyIfGab_8Ar-pFu;%;zA*7-=!Evz@a>=8yYWLRp^G1JT9_y}@j z4oPTV=Nly^p1e~r_qI?$K(qz0e&S;MCL0h}-LVZ*1Z1LTfH}05ENyC=M{Kkio+xI{ z-pituSk4opK=Nnd!0%N5MP(e(Vv=A@d(?hcJ$O|tbTi12c@bVBiQ?T*! z#8%e`eDW=4HLxZ1L^i%FMvix+%y=UM&Hfg&bYf-Zw;0v-;~+Ex*&(_qk7OgvlOy1x z-9(@HM_8`~20Lcrv1q2ZUwn@XNXt@2*0t-%@}=UvO5>>@Jj&J1X*Jp_Oss z*l?+mx}+aN(W>lVQW`4MqGxr{;JUpSK%zS-uBHGYJpewfCcr=dkF^C;P+orCOA1(zcp}_J^%ft==$s`JJ{(wk2W-aCpwr1O=|HK0 z_tQch>5TH`c|a87o&r!bEvr;JULQ)Y8)1gHF!z#-0bof@?;9@ITT09E>$VOB4g7!d zp+qe`c#LMuRImd~T%Z&E|5jqwi3rPb^hleUaxv znfi!W@zEZ|Ct3~JAn}cZ*YrlZvGOttU9sSm`YTZ;5O-r($msH5g-0O}O8=c0h`F&l z985{4C3}Gsn2LxYDg8NiUv0!+%43mhfqTk_(hmv8la43Nf?g3WxA2L=dW*Ye$0X7u zTxi!b>Oxc0E#4{pyuuua@Y`9KJvfTf$mXzK8CtHpSCG5+{xHkRE#;z*Co+V-ZXn;#032NBNmY$q>cC zqQb=sT#MFYKZJmtbgJtgqLj$<%Ll2IpmW+lb43W#qWb6dcNZpCwKzvWb@q5joJI9j z>gYQ`OoR!yMnwa0?53xZ#oUwg9}x^l@7CC}sgMIcX+$*b0C)8r-OnR2@0LXlvyLGq z5qAn#dV+w&u&$+tv1XMZBk1?_dkQ$gu^3j%W5d&Mjzb<-YpK5|@hsbOTt4&wfGL8n zN)^B2xSUlq_Cfn>AZTB>F|b+;q!>d`HuTsB$Q=H&I|1~R|FoMqm3>?B29gcRR?r`J zWeEP|{5R1HE|KzUez)TZ`!<5G-7pR9q!||-aV&qZsM;xNbn3(sLLSyY$2Y+2*z$;? z_?C@r7C2s2o=SUr=jQe0%a<9_A3<8sL3g1$!G01_VtgMdHW3y@Kc_yc&h#9R%hn47 z+-a>mC2Sy36-4UJ{)`Xbi9o5I%bs+p_NB?MdI$#5@R5{VwDC|NsaVyznye))50a}) z0qv16V1Lo=XYuNn_`bDYq|)JDjacqfF_TpHm5JjQo~wZL?U$`rJfdA*>3bqrS99C%_zyFYS{Z z!H8RdkqVemrB=H^Zzn4zdD$%M)2*J6*p`Q_CugU9-YFzZ6hMjk%V>sv^Ec$_PrX~C z!9FG*MedxzWXi_gd%N({Jc<)zqvPQd<+ z>|Noa-fOESr2KBz}ibnk1K#GipgP=#%>0cUvPI^@4%~i{Ul)q z^zw`=Zp`4A1*w|3EOyh3EeVSO+^OIe$7G;5z?Fq0JQZA$`1WlkPwSz;585Pg!GQ=R zAN0QS-$V8}1jtd8*kBU*$97wo$6@rD&n=M_eU!u)$EE^v#ewQ&G&2}yIcXsETrupnD<35n!_2S53@G*W&qN7Y~s%W!kiB= zd`HFg?2*b+ItVkNNaLF99ZY7XF75mp${$mt`I=o@rFE(yc_Y8*ns=leeCW%LX{)3clh)X9_z4oW6(uAN-j&9H8e{ex|h!Tt*J{xR9p?+Xe$x zcr{bzpST2lgrK`2Gi(=Uch{&sy%rLp;>Yd{?DGHS zuUYO#Y5C!2?}k#T(aKQYr9A(We+dATFI)&9x0MBAno}#hX$3Ixue6@CkSzL+*<)bv zidt(_qms3t+}kVs$WPgC`!4!j@=|;LHl6e%-#B$nT<;VA`?2G)j7X9|w>l+pn!|hB z@C7lA&uWe9TrZ<|ck@x0+Aar_5SW=x9%se0pwj4*52K1(QX8uwM-7)JHx%)5JBUBB6NsV6T zCtN&5p%rdzc1>LB^}5PPwfk3WKbs9|q#P^CR68!-=#-4H-*-tf? z{Sq>qmcjU$888_%VJI8SA^7&>rTFdde%8%O#rKeRy|}8J2m9dpynhxRpO>o=?UX(m zH?-~!Mc?3SXKY``o?KQ74mdB-GeXz;Xs)uqan?}QT=304$*rG&{>`rQM7L=44{}*> zkguL+t(uGSs-|gaFcufKzNNCLRbm>V3K0LBNr(Q+J03 zXob|_WP2$RLg(mpo79?&`omc*oX$!oJF~UcSAzmt4K3>Hm$~7>JVMgYJd>@T~$UsJ)m4vMSi-2#+ zQl!l7?t+!4Nw~z@|zu=r0+;l%uy3$Tmis!e+)dZ)2BE`=n72@I^bj zyiof5GoShUPuG8ZaCkG=t#eZ9Zp<#(npk3XnwGQC|2a0@s3cp|yDUN`AJ*8StScd6 z@J&djAN|#HGqwU%B|~bEzveIa{r^d{-pv%h@bb1iDJHz2H7$b`kH>=JOh(pt`Hp&7 zE5>ZY(UE~V9MXQTEavoj=O1bEQvKoK(^4v&o~+akU8w86-YIuK##8PRQI+T2TFHa9J$3NfUdIbS|>u!1C?+gg}iux5_CpJ#-t-f2J$)ob5v89kXN zDo*ztT&%T=RPyl+EVpOZS?Ig}=G)*K9W3y6=T8l5`5GrcdAbKOi^}9F&ovWZ!lU0R zs11OciUmCtRn;&VD+dCZU6nSnV)j|z;Cu3d_=2wG3!!MP)I)I%F-kgg!p$c=NhRUd zG#x4547KCpjeVT#M_}o<1uSGP98#aU+_+d*Grlu}j-w%qXmIxqd|qIJSt6~YEYwrE^yf+vfZ?X5|)o~W*U6mV0MJMSW%?;p#v%nk_7KC$sE$a%Z9|bPb zBcR9`O=z6)okJ-gQ{B*;q7&=^*Q{kfs713W?lDN<3+*=C54K0{z&>>NZg1)$YGihQ z6bB{GlJ{WFPP;eJGQ!bvP%PX(CI)7W^XM--548>u;3`LKKW)RGbSt0n3BdIBXic5% zUi}1C{5Mvg^1_hQ>xzG6XeKD>^xMA-#QGO1qFP|B^K#KhV*+gSLt!nxK3m4M>>Kyo z>naSV^u?3(JA7a66Dl*yW#q7bcf!uPBho)sEeh3KFj`QQR6;r=B-B!mSfhT;Oyv@T z16L1CJs0gSkFliM*at@Am&HkFF$Nz39Nmuv(rXCHqlDdTw^?4nxsh;IAH8{A)uN=3 zL1v2R#V{)NvMAuu%+CK{v7#Dvsy37L|7D-(rVtTqQNc6wLW;i1vXD_409nOpcs3bc zOh?9Km>F`MHC9Fx%y20vuth;D;lv-^x3u7MtTUHc;D^uOvoYp@BpA<;AU>nUf5dIk z^pY&IQ$xT)fNZ*5$wZ@=DK$WoGO&GzxE&~VmbKik*P77iNR!Oz!L2s9O{@;xrA>88 z(=Y@YF+V%iWUhZW~aEK!Kej7l=vxq{#4LAPzL) z=vc#Bx6Sba8{)I`%2CApOd3t}Jn|m{?ywumySN0_W(6vn5f2uN6oNL@$R!I84_?jv z1G|;9Cj4023GmPLq%B@WQWCRbIS*7eD23Cs#0u!UUNgx=Hj^lsJ8BL8h(CC+r~YzN zRdARo!esVC(cL;$tIM5#sVV-{9JIN~o;!LW)P;=0 z$Qqr&wIHysTAprE=jCmo6tlur)$s@*O(xYm+H&W!566-fo$-K7wbFupa-(DX2%qB1o^Pq#i3>vpL6N^TrwmtA8 zBAr5$gL!bZttoSzeX^n3#I|w;ASsmJzmEPLy3|7ukuM62gSz^gLt{Pxx5D0lfl>;F zT>dKA!E#6Uq^1Dy-n&=E$VaZMjF{j^^9xDFYg~EmlTBZTE`l@+GXT+f70RzpeVKryaF9=Fsh&|Z{0 zC|;GoW{@RADEk@6tbTkeR~kl!NXXfISJUyOwagdZ)So0KB}T0xJKgv{234nu>{jI* zdnJM)-h`y@zQ>7pmBtbDQ~`{7sE~-)vRKzw7~!XR5^je_F8wUlfPsgjGC(auczb3X zuOvrci}AJE!+1)md>(cHg?MY&5lgp4#?F*{S`@)dbNlKRx&`^&U&8rmuW!%pW$jF= zKqdXGUJAC=GPVU50mMSEe16#O8Qa_2gJ2hP=$HZ9a6_i^BMd?&&Ff_N`O{r>nBru_ zk)>@E!6nm!^6e;|p-^;1Zb48yUH4SNwE`EO)tmoUih1cdZhmY5moUjRzs8ieEB z7-!;8m*|@F`&dh4XZVAwi>*Sp(p?ksd+ztRtn}V==gD+B9S+ywhCXC^^^EyH5)#iq zzC|ma*8y6d1;AH1iGJHAjG&6%{06A)_MGSJEV840nlWC-c>CH~-%J-R>aAjC%}1nF%CD)R-+9H#uM<$0Dz*@u!X0$1|71pyK|%bV`M5@ zR0iMO>S!^W=saSFB;EG)qj;CuSpHyKz@I)FS&F=nE|X}E&hz#bG|~H=)Dh$QbHb%g zRFAp6iG7fF@Y`mDTdMHsc>a8)r0ArR7}}iZ`vDu$Z9bc|9REyUKjrZE2zzM&ueeHE z*Lz@EuL>ClQh+iiDk(wIhEDiEkc)$@oBieWhcMHbm7?CmjH8RVO*ABIvq?uqHoqvX04F80F{TVfUyypb{*wq_GG6!^|GIz5O{UYc7DH3oGkz zVpRLz0w}+4$0vgO?KRl!PtZqnLX{F3HOss1XhjP0NTw|9|;SYXUO z;;WY5Vh!qEL4Jffdk>!U#d1}bxMgf$Ub3x$x};9ZekvQ~|BN(8{q=#f)qTv^hgA^L zeeJ8DLpj;{Kj2t9T{t`4j5g&_^1>d!~%spuSjrQu$ z43J8_eeDM@?tl*9kQ@*w$wF;R{{@PCp@Z*AzVS|_843krhdp_YPH3I}SMc%Z7!;Bn z(FV!VV)2Y&OvjB;$rhN%S04~#Nx?(+U|xR#Gg8mVYtaA+h*$I0`J@j|5(n9Qc#_^} zTA9sHPXOd<3uH~;!pzGAl_H92+}C5UOnpr{Mn1$R@Jt!yb@j-!SF{k|iEyzG=uCcQ zpTu_%Q%_}-H%t$HJR{ub-YOQ97DUW6-`v9Re&th@}=BU1ZLK8LfhooA)KxZZnI4)YI z|3x)WnHU*1FaJRuEwdPupLT&(@{IhX9$dOL%9m$w0u5)qmr_8+0Ss0SU@Q<8Kmj6% zj67jNK>R;1zIiGAaZs26Ohk&;v^h)ETE7IXB`?AVHo8C*xDcbHCdHim-g%`*vkC(h zJ_|(r+llPMM#RwrjKTXi8`${|>C=!vfP}JQJ-7*jj_ErbS)B()FxXCc|NdoeC zjTJ>QG5lT%qT-SRElA9kKUCq`ainHw8n_?w2&`xXngdU*@PXe5u-_j~k7okSHAm0N z{%&S#9nAerm}mDUcGd4o=I@`ZiW_rgd~MRUcJxia-jk{t{8`6f3a`n0Qu!qiGAA{G z-}DKhw9YOsT{oLpIGjwWdS>Gevcm<{?Wg_k)y9Kasf^*^7BC6F(Mru%Eq(;JQl=BgDq@_kZ*#Hhryj{=u0tMu zSd5;MlZ}Q%`dRsRhgtrS4ZwCvQ6NDU+V9QwE~upTs^pZ|GJ>Rtxoz`y6W?K!-MXKE z*#vm``7V$-=#>9r)m-zZr{EW;suqmNd_=bBB^vjMv($u9Se1XPfoxh zT_G>Jiq6SaEyhpWbqRt@kCKC_k$(az*9&aaKp0JAGeyt*;FJGC8sa!3pq2b%q62X| zSmOB?!DH*Wqis@38(z>e$R!UZWmVax21i12agIL9PH5LJuSSfkQ|wL`tuh7eEA4C` z*v{&zmZO@Ab_{itkMo1@V#>5gW--hV)k($WTg(FQ-Qwsg9X?k2x5W@eNCg_~50+F<}v)Z$fEm5;n*F5CXfDt__fx|UDJ4(YC3kX znBRpwtYvEW1@=aHGAR;5eNPd>&E^Cbi(%N_x8eD+pkEBMNJ2M7cz>D`a+!3WRzP>h zeUXIc7R32aBzi`5gqLX~hz^^cay>sjj@&6y@uQtEa1P+jrV<(zz;GA?5m6Nznr%wX zqxOS9L)$yUEa4v7q|WcNSW)h7$G7uw1))E=5>{M+--Cd2%%_%;-^fD3`kt^tI6VJp z?x7ID?!yUkIfj>KAe1+OLxKn58h9y%c$Mw0fwwY zp)H+A8fX%jJS^+lm;N1pB82BBr~W3O9a8X+o&+vVp(R+amYVWEm)@S$$Ueb5pUeQh z=2mdr?&A0a5EUU3lqhvk2wPXmRh=pHqpKshv01T!lL5{E83ca{6RLMmW zf}@2~T-d!=W0+e-o=C7L_^gc{ekGD#EW<-)*NtvVYIz;fRhk4@gv*?xqC|sKj`hSV zwB(Kz|JV9~Hc?tX8;32EebJCHRzz-l@azy=xsK|vr zJvQ%?GRkMXr~>=DHQ}*oP#{v=eM2zSdC$2~f3vS5+L5^-GD_3SxPv|5a22J0K3~Ia z#n`Im6QZ--r5Ta#W-$4XFYh$gEs)@kkx0nyxNl=TZULx9hkXV2$Xw3GyQBoC?Ax~P zu6@F6CzIni8|z#ZCdNM{JeL^ifUT0=yS{tp@ke`2Q%4otBBhW=pcUU+weS7>6fo&l zTcwmQCv&!4@WlybX902CS*FifUOP{V+%9K9ZZ$u-%&z27*Z-y?ecL) zn)KNq&Ha>BJUNuyfvv6}B{WxR19V!+4xT~GaS`Sj_>8{Wf@$voDC-ad zEjs-Lp=V5Glyw4_ah);Re)IsCx}VjO{3UFoUx%m^^D6KV=e8h8UzYs#c0068@cXMG zCSnE@_v9rm`8bx?85yl+@n3_;gbiT$*T^8b8Ql+K@9|u~PE62xea7?2X=n>Q5U#>E ze&Pthd+Xf<5#f8;9PG0@|5|UCHc2+>C+-j?5b?g-c2m0W`RGsuSpHdwElayEi#fU~ECD$C-XlWfZDCRl?qyLw!Maz{ zs=L%TC=d5mV;7;R7XCSlc%l7bRD~^(%4#XoG@ne%1`>Ngbz!UiJC?Tl#RXVLt9Kq< zp8}ozTs=wiRX+^+qg()Tkg|0$Os5bx^1fiJ%)B;biualN#!B~-?p_X6K0>U_KhB{G zW(Z12ACwg{Xdx2D!-iM6aX+k4pIXq1s8^;PvB(hG9@fqcKH?%nCgj-EL;hJhSYHxc z{81*Gur)^G#QCmEfw)Op{Hf;02ZByY>oV|j_KD*t)YKsg&?_g<(EMa-){!qpk<`-h z{n?=}xOo>e66LC1UDBZLDkmgYNEX;y;@_D2T`ckp{iEDn@k^H&8WJB?$!)pC*^~t( zm*Gzc13VS|BVYP2!c}PQdk%Z_(yRH7D z_=0#FY=u7HnGtx{M=5Zpxm7lFPb(aK{k9klK!h^r{L3N%_#)jV{kZKjlaU&OR`*Vo ziNUZeykiME8y`Nf4nfZwS2>d4h+$~ql%hofBc?Ry8Z)DVVfTFXjSQ~UX{2(5XC6Xo z*8rNlf#l(DW%zBSdt8$_ZB9}7&vXYM*bGkRUd&k;3f&dNChr!+fMNB%(MP3R_j#bA z_FCaC_t*;d?I(QLi33Ljo~qqBjU|Jma6$F}$+9}HQ11DIioXM!_;$KnWMX53tNAYI zCku)AH*xR7B%oRc_nF5ZKdhO9t$;4xqrg3~vwjiN0hEd?N_z3~a$KPsa860O=Zc=% zjl$n(%~_43gTiSk&JSm4-1TcX;ZQtxNapJUnX4(au;bSw<-f3Kp=o9M?Rg`<+vnnI z{%7jbbl-cL11rRWz4#y6k|1$01~t^B#9UxiZ|T-5cKd{HfMrxEwiTNpfAwZn@d4E0d-hx?RA)a}Jm9ljhMZ6GiBdk9Bzu-b-Sr ziufU9)p{jYta-}U8)qqVcxn0JYCV{q;GGnE0ZF?L()cyvX25U9?rxS=pj$^ChFJKC1p@YumRXos(( zVo)49jW#RCh^fNMwLa>QiM;&fi)4g6QZ{`6%`XvDA&%(k(zSqFGPg_hoiOuP>dv2- zUen<#MY5?%X-6W&K_caAI__V{dp~22rexX~Oeq5{XMt56)~0kmuDH;dET;043<$XJ z#VpFcVT{g0Yu&+Pyz!lDeyz`PQ@GLHujr3so_& zC%91*{73=ZhBFw>Wxf5gN<^*+fNBmDoshmR3{|?cf+QSpeB%Z@hHz%IhCCiAVOre0 zu5)dS9-KxR_47XPQr2+vjh!}N;fX?5pZBng8acZbMKbmQ3Mz=1bxMEee39Ncj9P5q zu0f{3ukTJ_$n=v_qtgH5FKxjP9r|lcg+dqWk(Eh!Px3gZ8 zI);}h0s9LE7p^~&CywQbmA=tjZ%DzNiLhSp#PHP*7CwL9pnKVr`<+8<4r^zhsWB=! z^+4(|8uW6V?I4qV9m*)TZMQtt6|12Xt>Y~93Ddi2$x#N0jSZ{iE_IwqF;s{5f?4@#3@$|wz zICLR&h%9QZ;~2rjSuq|KMB&myN|Do|!wt&d%$%sRi4uTMq53`Y4}*-HN#u@Ob?zmc z6bkQdRo`Rq_ELw!Q{ajVOtgk?lBzk9jqoStw?NuwZ_)tWb=z*IDVIyF-zMFt0tC7^ zT}bk&f|o!EnH61M#aB8CA23YYRL{mLrT%v`#J=i8dHf1Lk?A3N#w{75^6MIPI8kiGIr zhDpR4>5?r%DBm)3o!;C>x%i1Fuo;uD4PPPR!{@(t?&Q2NsH^2a)mT>ZNXq15%pUO@ z+=7NFne$h+kOp?~%wJJ2H_buCytFzRB)C}&X;CA^JM&fjE(XQ^g`Ny+^6lUKTBgko z&MqKOhQ}UoT(BMM(kXhL*4_M=hTl*wn1>@*97q`bj9!W>sTFOyCQ&-wbBPSLtdNlw z{KQIyvOS0UPigay^zE1DEwi}0EN|BwjLWUPa8qC=j#OT)KZpBlQ52;y3?2k(8KqJ_ zysUuX!?)p4LF}#cW#2eGoj6ldWGr#}COoOYSftTQ@5^6%L>DAa*(jcM>iWR+9QpId z+aX@hk(!m}4KfgK-uo@$({~fCotdg@8ud>}5ET8?jmoIos-%b;5qbO?`4+|re>xW` z4Z0P^_v^zhI&qkjIqw;P8@ku(!K1QqmP5%Grc*5==w`e+lmXcU||AA&9Q zrzit@RV4ObSLNU|!K1NIfT{|FlT#?&AwT?}u#*bWI)8IeZD)h!s&0-~_sb zk8sG4Iz^C{wIY!TOj3Bk(Y-z+BiihWp=_9@3bnMCwEzQo(|4 zLx;oICDA$y|3gP+@ae!qN?3j<+!F=S@km0`tD7l#;0W`&%H;wznN-z9Xj@V>e${$x z#34Klpzk5bG_Tv&)k4RK6TWJ;ocTyQRV;yrM}~3Balt5-6l`_*{Z_oFFx`88CFFpH zRE%(rl(Zc)P^#h|9g(&=h33}m8U-LI+OV=t4QY008EoU4o4ak)s&M-DjmNVM;_Jl1 zB}}-%c+-(muBBnq&2C#k|E`;8Qf}p3_@!4Db^V0EMo-^-)clq+qUCLV?;dKyRo5LV zP1tTQkXCr8h%ZLF|CD?t?_pDwFgzWn6W^6NKHoG8CX6RbUKgSj61A*WWef>8$)fPNU;!xJk+!I!;urWo z+s9ry0G8|Tmz5Jl^X#$$|3!m+VvHGB^qB4?R@;Jt-Z_53AFie4#G}VgvzgfOBNq~? zRx}G+nEnUCF8DiUetE==i+}BD7yTehoi6LOT*i}hQDww6{~Kr(e)>OH-7 zrMzb(qH`{>a778lPEkz`eTfmivi2eHW%H23`|dxu$7@E(ipvnA);B{L<$+DvI4^+I ztG}(l*zNJ*Csj4tF+^ss79)i#w3n0WaM76!8@9P zM@;}CBEZLr#wphvPEmadR;KW-iP~VrY^;$3qtME_0OZtsacZVUJUaXGioI0Q_l_vt z#yy_Xlbcrm-yDLAJsfX13agmZ7i~rzx>fJ^xWJro$~>ywVHC%xB--;!xu-H!!j5Q| z#$ZCnQlk|zv$QO{iZ=NxF__-)@pw$Umy`YlRAb2Q`T=p6sIL8v*o`?H*Xv3CvnKm$ zBBRK%xCP+Fcvvj{{I~(cLVfm@c6kGYj~``71%mg+p>jn3|M8CP2=^<32osz~dixqJsy-23qe&>)NtyO|o^9vPP455w#PkQ7+gvY<`DP(yB z4;qOedezQQ8t{%9Er!Znz;c9H$;8wX_b?M;rdZcU&xRfmDE#Squ<>bul zvg(KX2H@?mX7fE9stUCi{iAC$!dkz8BEJ)q_0iq6Y4DW!7efSXGNhsi?+DQyzL&%* zi4l{T3Z_?yjGH!ZFWLbW?-|^PJC+mtv017cc39~_TyIB5Co-7^hPaxoNIvc+Bb&I% zvm;qCO5ol&9!#h7Y(yztXXzT4+4!7gt_GLKqXqPGezjBQlYa!=m{eg4vKg9Ai23Lj z7-hhQG&%7Sw#i6oO;^sJjOz_c8KsK3u>5gIYjVrS#!yD|RX#qcEa2N6YFI_`OPBF3}r@C5Q@C;)t8jb`n6Ht;2l; zq9#d>h%N<_=Tbf;^-SIZIgfPofDqYCz^LEjtF;d^HO=y#iMz^cr;aNsu3SFVfdA*e zB*|D0)`d^2?cdbSe4sr@Go?@SdR@TT=ZWNpr0;9vU4|Q@*Xqz2EQklqc5@109*}eE zh<-1#rAtiLK44PK>JVHEqY9=lkfiy)pnvSRkR9u}c1P}_+z_c-KX_e6aB4ph!NCEXIqJIU%~>`%}+9&72@?6@d=hH`}Fnsu~sL#3Who&uw2^>sV(R;+k0x8&OsKc zfv`)JvVo_+9_gL(erz-_ymc>YWx_28M{ZmAiz6H z!sg~CIi#?1MVIEz!us?2(CklkHxeUr#r#xskn^t683 zc!aV+h(NpdcAgT>%8_x}I%l^j^+^kEe>Sup%FA5w%CunvxJ<@IlyNO!x{a59l36xb~;tuaE0L3nsc~nAeN$w}-oLCljTs0^QO>#zb3n z*9=^jRM@N_jxrG_CGexXwr|IA>>xRiutQny+_CN~qG;7Awf{DlU`_13!#J))Of?*W zeNAtkYLY5Mz0S}Z4>lcy7aoz1J*>)yBd z*Mo^h;4_mKIy^$sZ5@eKfEZ#fgUeqL2Oe*<>0`5Bx1pR-k|HyEg2lr^E`C<3`yWG% zbqHx6h4|FG8b{{Gur7nZxciwDAibltHm9knI3xXt?thj|rEEgU1d>QT12z?ISmv_( zii22Ktu7VXVfTa9k5=4A@=eZ(z0#-HE|#gs=fj8OF*f^EpIiNGYgPjOs9se5qp0S} zAFtWiCD%b*K7dBigl+UD3U$P?MU4;GSgUm;tP1h=uy6L4BOL-;j98-q<66t-fp{nX zoP?3%^}Tg<40?K&vv@Ln54AJ3UGLc(G2`l9AWicbuox^NlJp3Id3SkT2>y{F7exs{ zE-H5GWv3F6Fy+zTHqinV|B(c*N`VvIQ(3$@hX9kUdfD&u&z zUpY18gIZ+ZHgHNkO-!2)$AcHhnL8L2+^-P^{|Y!$MrX0p0-;IEeWWP?`etT^@#95NaD1syef`wfV2@OiE{sf7>kbELxW_&*Rv z*}q;m8vJgIlaAIiIfHl2-d4hxzvz`k8iciDK-{HZ1bRX{7hd$zBxBUr5Vv&0=$Rdg zJ`6lU)-T(GnZnroBn>y}X55iTTY-2S6m{n+epf5e; zKV;Q^lx<5I`0Ow>((nVAPb@vsRfsGUuV?9m6+zK_0M3Ke zKp%?g0WA&_EX|J+e_T+D>T)M4DD_Rlod7jT7^@Qx<2RD}rh1LRe~&-#XqH>GHAk2&QlQu%%^E zGP>Fs?se#F57(VlIk9c-04OQW=_+%~7;zB$9mg3_xgyH* zUY>KN-dVRxwdRe_kq-58r-2~+w!NmVy15|P*srry3^1%yR43t`uikiq?rOfG;q6px zSJ=~iZ}W9#^{I{0(fYL|9|VKjM36fVUM=iN%~WgfwEjRJIS9u+*qt>Ecj5=Q-~HNm zRo5zLj~&pf=fN|Zm8IpxZW*Z!Gb@Q`a3hNK@; z`8eBL+l82tvWqV-5p9(T*CI`0X!c$t%cN+>w786o+5ss+4gWOxa4i^47) z0}PaCHgJaCVUk%c-D*suoA)LH@{m!HW_7MiSajn>Sr~WdAi3`LD4EBD6?%v-2l70v zCRKdi&qE>bPJ19CR_~EOn-%s1M!$rw`!I%5G#PjfUY)dB;1b2~qMEutU_fUb4QjtO zeG2sg!9f@Ae}r!CA|VU@zx#O0aE++eH+(-@YLrR@{=q3ojg7Ui;6p`*DCeqa+}aC% zyR8GRiOJxfplo z6Otx<{~}89I0BPh_md<^*v*_$YG(Eq?eMG28E_8Pw*7<#x2)uO4t0HD(M={{)h%QW z#|~u}8i5z{Cye20=bv=o(oxVd0N^Qtogqzrw5|JGj?}1{o{k6)) z@!2b#+^EpY3W=F=Ndt$yF?u>NRSLWGu_l!4&9KkJtA80sP>V>?-y+NmU1_;p!JaYFXuN0KAMgx z6|4smMxa4=A@@l@)jE+4kIv9q{cB&(7pQ(ieI}o)w>^}Kw2@PEM3?V#E?b5=#dKo5 z@-2~LFR!i%Hprq&z?+5Wh0|uFpB{tHOBHDcQ=bnS`=8SH+|4+By!_D}wA3H`zE$xx zOwMeLWn_8GOy${QJp)Gi{;eF}Y6sh_m{0z)nz~$olEM=1@7#TCvi)U6!~`~};EWG^ zKR01zO15lJI=zY$8}k$|3NXaBUkGyo04rg%Cehf4pZ9WO0RZlCxvqoMeLuL}u+UDg zCMc9~A3cvG;c%X(BVX(&%Z1UEn2LTXk@6>V`WJUM9a-QoQmix;8~{KwibtXC(UB@| zl#jCH8OJh#OiuK4zG|+y9A00x3_QXMjy@=L)9l?Jb1Diyis*{2YQj~C>{RkrU{Xbf zYfMh~SEAXCY!J?w^V6;)0yIqyEvjX)O4eEg(%cafk(v^HGAPcaENCn#d}}Y!F8Ldp zwac+y)Md&T4Vg=ll{N;}jl;zqUQ}ui58{7NQ90JofP;vO#`WRH9g_y!RG?}PCgM?p zIiBu8k(04zXcagt?Fe$~)T3n1e544=)9r6HL1^}lJiWKs?h=*ssl^%yI0lo()jT13 zqX2BU=!kVw9QNDruRU%vaOX=dN>*nqKm$>)m#nt8Th#y_x(aT1<%B{Xu_zSn;q``% zartxR2@s5_=1=$^cVcPe3qlp&s~2#8>$Nx$R>s*Jgmu)FM_md*?Eb^2@uEoy$^Oj) zzn+EJc+DTMhu}Y+&es9-&7AQ4ktQMkgpvX*b6z^?^9q^~or{14IFSrAcB+A)FbaJr zbfdTbN0#E#TWrstd#0iDA!)zO)#R`~4ego^9Cals2z%sB`7mQOQ|Oudq-roG?kjS0 z3lIRfSS56*8PA<3HIea{=wiRb8eWwTQ{8QNganX0Lv=COwnEk9U2Mt~#*=YFb;n{*prAGtyBZ}C&5&?r z^a=Kr0>8j~e)5p=ygPGIon0TuW}cyv#XPAObqkQ@QL~#Dy3<20{43XeTW5~NqqZSf z+{IU1x>9Fg)0mN<{HzPKLRVOU+dGz2h|Y&Y!aio_^{=0mG{Hpw8vjO)m!P$+e_>d% z%qPwLRc-Bbrba1t;>7{7zVqbgGG^@0e3X6PPI`7il?bV4ESi0C{TSASJb0_RVYGmh z+6diSY+LsCE-6C08_8IYH={w%$BtN8gqj(bcwLqhn`?a=~Z~lmH4QjSW+(MN@R#j|9Rh(4)9$rl-xP4|?P4=%}oD;2^ z2^xXBlfke{%8EGBpoWY!N;AcXUAT9;QHjSipPoUA0U7h`$H;j0b}C@tF;MGx`y9yW z)(!083|h4H#vFb7(^XC6W-NpiQd5%{1~Y&i)qBS1{cafNvBIw5pdwN?jHeCnyAd#1 zM_?83pX6VqpdNp*3(xDwmI|-uP@_6i7Qy_tf9Voe)E#AYc8KQJtR$UXMj0Q9*Lyvz z8<dAhx5bEa`taE&)Tn`x$a}{&HF5_fh`NsHn+)bxMd9Jaf&^5Tnqx_7tucL09eT z4)MHJc;E_)&%NNS_M+726>>iBYY~;kD)Q8YhnlpQsAV&~ltwi;hF#mkK2lf<=dz*o zZjj|T^NTcln$NHkzw>?ouBy@2T}Ol^LDTdVObctgV+jryC5cAA1FQnE1nH$#w{cpSovA-h}!G z9_q4D)Yrv7bSVIpL_ZN$2r49=l?>d+sLx&-xlXOQV$0^7c^g(K_m4(7CP~lGZAHMmA`bVmD?y#SLmr z6K8F3!N}a9kB4%!d@D0lva9ukaqT)Mu_dyvdBhWt7FngzvZDYyOh5YQHVphqsk$qfB-2{t$|o~eU$ zRs&>=8k?~W67o;21MbTR74;VxRJGM^y)BY-xBvlHkjiB4)9aC~b9fZTV z#rpBCKK$V=+r{&qpAps=ROMlaU<CoTnf9-(5b2MG2V=DgzvS5#)X?dEl z@FKdb3rQrF7Ay>uBwXua2uoNjTZN$-Cd}U;#SQF392XVPiT~ge_6v6H-97m>Oc}l; zXenjGTHGF$$nlTQt68+Ny6IK;yi#*b!kwZ;17ZGrU^5DMg+Kz48#o#<77%E#S;|9n$zdQ3r+b1r{`)WC1SaBXbV`m^*C^LJ&MN)3B z;&R0sjvDJO@(Dx+#_j7##WW>+>XxVvPCt9&2DKr(mpir)+VNV`9q3IHZJOM66}^cg zBp!n@Jbcm!>0T?z`^I+;pp|dxC7`V?#})dYEeRFLY~7wCR*=nHM zkzz+5sHCS$f$1Ii&NRAbVk#+kQTgqk0Gn*L8l{`WT~)XCKC9Dd?RXf;_wCJs-4KfoP-&puDRaTgiRf!xvvt*^pE}PyX{u zhw+0>)86P}Zlz};^K1KCG<1ovu#;7zDARmc=B{~e8&-1R*Kf^@j?38L`$;8@HNLc^nB!K}5}BV~-wXF!(_($6EfFh>`!on!HuvE#^Qc&wf10oI`S`5wkGGoIocb!%i z`7${%L&bir4VUg!0fp#b6z;-zY%cVs9EY?bjcfp=or&rsij}n!&WjlZPlQ)&P*X@o zEjtCl6sJ5$bvx4jueF;|A}|z*Du(#`ObY%R82%lcgu67&zh)@XSvw^6foyiv9b5vu zX|T^gitVf7LJ<9pc{mQzXyq|>^fNKZ8X0q;RFnIKf7k=Zuw7Vc^X~{-K5*oFgXHF| zK@(4S^06b0`+u67Y3eP(RY-T!KUo4_*373`%3LIcZQ1#TM8T~@Iot1Wgp@4F0BaiY z4L0HQNU>Pmc4wK?ywSv`-JdcJqoK?9=qIcOU((bRrtG85f0@%EwG-6O#Nvbb0p%g`EIa&Zb0fi)wi(67J4j06EF{wi6H&s zFFZ?84@GC#Typ)iLo&-_E|0sxmk>p+nmP#1f>#*b1CB02ynO~H`Q6(3K>X#K_gH-Z zc!u8?q>`#gH&Xm_HY(~O0w?#GHIrwPzALpUWGgAg3Rgf6WkU;8Q5~5`jT4CiLdV&c zQDZ7hLxQ3|7-gOzOV3MAF+c-F#XVT~Dg#F9>AXnV4cd`$(R1Z|=?EWikS+4!CTZzq zFk?b>@sPMn$x9jbgi~Z^u7q>z%KLEAMrSLhp?xr1h{NnT>0vY zxqb+s>RuV;a@yg|6B4_M-ceN`p4FA9C8dHM;m zy#H}dJ~=Hr|I{v&*&{1Vpq`s9Mj}bnOrRYdZDVFZy-^F{ZSnh_T%|4-Md+p7TOlPu zXEa3CgpD6s06Zj6BjM4Sk#~wmE9XKEH=97a`_B-B=P2NHlBv2?8J%zKThFXDL<}dV zEc}WmU&yp(%BHatg$o&wa*kJ8ba~${SN0lIR|*{kEld$ug7b-d23UBo-zu|}xw96La!f$Y0+2dXlWWc}@10n(@;Lpbn*decnpX>LdC+LSte<`HzSkwT=x#uTj zV4fe8wrDzZVy}lSD*?+O5#|U;nI<|eU}X)J7x(wrhtW_AhKJ}~I($NpL;%~mLC>?B z(X;eI7!}hb=SS|X0kbBQKc48_T@F~)*B-7$R9nl~LnFQjBtqhz?SiV8@zeY)iIGw`I5v2H_0x53%bbxjD* z4AP81X7Pa9%GF4AUpvclObG`3EA}VioGJGEQAy<2gZ_XIjXWH+rm_Im#vGU9?3m74 z7mBY$Wr61N-hGZ>doEAu$2l-VCG{ZQeUfT3r74;GeCEQmD}lG&+t;)!uL;%z%Ht8 zkwJEt9_hQO7};R6VUN47Mv9^TPWcg z^+d~Xi7vo4Zq_|q#H%Pe0dh$}jUU{8=Eb&?52Hy!QVdZpodEhk4(&1#fOdr!>8+eI4K4em|j`)joq$-pbpUF>2 zed%)Xf_NX>mO`}pq?Pb(7S!M-{fj)`f3jtuf9 z3hm5Zwdt3-8zU(2BZSD&rMg8WnzDWC_%cS6U|5mrIr8~wAf!8ftV*qyrBYuh>bE$D zM#ctqRH3%9{bPa%x&_&PZR2XElSSxWLm{_H%Pza{B^=4x`iKaM(Vj^ZlCuC!ucR{` z%e-C|nW^M9cd!CCJsDaCMp`PPsxo0;&Z5{x0K^`!nG8}i7YEBaQ(1||aRiQT7UG*M z#wZEdnI?f%+I~!56{e)7$eza8fhYyEciZ-`B7j!zn>QT-bcRP-)dlI;@peSIHTJK}ya9c1xTg0YqiL}Qy=w#4A4B0sy+h<=YvXDaPz(*g3C_^42-<>)0K_!1Y@XKkKWCY9_2+Z&yB zV2eFVAE3ckIG^EEk=AK5C(09e3|ckIpnf+Ihq_I;ydL#{7M_ey1h2}B*CdcAn9DEY zM|7!$oA(WyH5V2+I(z`m3e3DQYzEAinJ-}H(a+iCX9_He3~8g1XI+lLay{Nu{fu7cP+}Bi?k=KGqVUA6 z$3U=Z*)Z6ctJ!Pu`>U%BVqKORu#c{1ZCZ0=kBU`~NdK#BiFV4>ebfWHM7sPL;kgrz zPRy=%@f@+WZPSmz5rF<{kO9+?|BC!MMS=%B?gWDLU2N6k4^<62DWw z0C|##@ZcGEyqss|w~=~3ZUNLT*z7(7pn8>*L-e|(>RyBor*zC}jf#}ON!3iANf?M? zlj!37c!d%L+G_wGZ{zE>l_@#qOpgiogL(-Snyepl=CA=Y&W*&%+-{GQPnpsXjC;Px z{=(7|TZMuZ4ym-A-je@TN_(2r=U-lUmLS)0}@g^Kx^n2!iP- z{4}I0-i#mv>-PkgooAwi3s{vVASrg3Kxw_+9ivoP1Ca_i+Ytnd4!F zYZo6E&*f;ru2&AgWpOCW|I*FBOPElOffU}79tLSP%)S~S;sB{2`?W{)5=u4fa*h&l zudob`!!%o%XSvR&J?M@l?i?r4-&j!3kEQllFQNy!;$Cn|-yH2PTdD10cOAAe$vX6Q z6{TX)F9n)KlX|N_AC#P|-Un|}^=t!ItjtZ`OyW{<9VeQt-qBSbK=G%u+IuCK@Ucz- z0wYcqre(tWQEx4ZRm2`%t>De`YQEJjYaAs7RKEG&Y!^wWF#rAI#Qn@YQbE+j_toND zJjC1$gi?b9e2d=xP}5%!a*DFn7!9558zI2+0FaAu-|rlJ+S#?;JYgxs2-jKWZU)ob z^+pkFcSR^Yt1Il_r=&lptscWvWI91*;}R=QZlbOOx_hq4S#zLyk9_7uEpc zb_%A5?M4Tn(%X!h=uK@@&@oVkYE0Y=XnFC!2LzXA@$Ud7VsgqnYKe2rFd1DOoLN7r z5JdX?=^=4u%NT}iVJZA?L0otYURzYS50ee-4t7uN^ou+}I|Yew!XA3|evu%TrVMTU z?55*ZT;y}LCc#*CKg8j~kXCu7{`@;1;GqO}hKbRXAG6olPdKEe{sQO!Y`>|um7tw9 zT!qPQAy?F)x64A?p>@swTaSV??p z5H2$wqx6p=zoNZ7EjQm*yRQi(C?MTi=^ZusV2R^>tl`rKkG$^Ie}&vgwJlp~zY z+?~hQ?Ec9bY>rf@Ok<K+TS0qmBkU8b z7rttkgn0(JsEZ@kjFH>D2veD%`C^6c9Js$lHE4Ja?Asra=Z?uTXSIJ&}tAb3Zq^mJL{O+Z&M0wY!=Ttf~2gke^mBc1kuW zLjeRN{=MpHP$*aZ*ujxJ3iHeC;z#UJM3%!$-y0~x zu96cdyOv0Cvq>`P?YjpqxjEVF2-2Rl^PzvB0Fqj|&tkj)&;98PJV}1Ja$4ds-CZ2H z?)4`ve$04h zO30Ny;05(t60lG(BRl1_;i8Q ztN2&i=k9#l6sLB{sL6TlEww2R)0uX>X!Cb|<@}K>SRrRLU;nI|eE}YjLQXqSTQpu+ zh>X6=j}C%MYEs+&v{4Z3^N3;QFZZ@XbUniis~J$>AY|fQDO^$LfRJ%!&o*Cj+~NF? z`Vt+%#x%7Mq@dGb^HIsJGdh)Z=gkCi$ z%@g;*9g{s>aVt-4;3Rh;n@G?}*|$hU5+t{c@ZL8}D0kpGAze7jjKJeTd3K%O(yS+) zBimj%egS1BpewLL+-Zu!;H|;UkATQ0M0vaeg$8%hVhS310IsRk6y~)ayYMrmfu}5T zJDfDNwrjDd))ne_A5{XQ^RgF>IwtH2;&8xwq;WvQeY~HJb&I0?<(l|Xd%zLebQBsI4+!Vf=gy;|jh7j!Y~81|V5SS2A7N>?VGQ0j zc;M;RY4h|!_x{-;`oF@GV=1?WwsMARSA*a9*XUk$+-YY~^3Pn@Yc_)lydmmSorEM0 z;ZFOWTi#>-n%6DxK-;vX#};Wy;07{BNDQ)&#|TUkdiLWgty;WBJx#i4M>$ZerfyS6 z^fvD(9~o(=g`UJUATEk;#Z`zWKk%?cAW-x#@SFuKUmqU2=pws=m!?4a9%RB4xHTaHB|okr`eplV#NUr znpW&}S@x@5zgVJzcpSqM1>-Ae$C~d*T$AS|R$E8Y|2Gyc{AAl5KbL|ixSe1w#4N-k zYV$*rz4$oOJBmBQi@s%X3~+6Or(g|(C#QmzOI4}?NiEOZ(OUeXKQk&V#&0;S!l25a zXodD)% zyspn3fkDV>Pi8dxj(oE8pG+%+ly8@O`~Hp%52>$e{j5jXQ7NZ{mC_43Im(UzPTD`R ztdAFUR6{r;e5cRuWEx_)7fB$HGLD3ZT?uBmfG`NH!PfcPxqNXNO=totTI_(IQg0tS zxD$^vHJjI@3c)=kP=-``nqpEeNd{T|B4+cqGH^4o@5^f2{jX!jVCJqYIG|<$#9i$R z;zs6s*5!(ZIq)axf6=Gfe}TlU;U;3! zjP?eZC;W%$oh=Al)`XywGP_cUv&r{EdC~f><*uIUH~Zzj6*_GfMSOvdXEhAe{wu`t zSD1GHQrGej#cM&sstcVO@s;yk3kXrZ1lBr9;(q6S&EdtbcV+a0mlWx&kn5{)&e zpz*NyDy-yxn(BLJ!jNFf1t5!S7gsnD9IK;4M*FcVey>jyTz00D&n;lg^HR`*S7ONa z|G#Hn-gSc#MUNLeIcXVGQ%5Aqr*G3lq?Hd>Cim=IFqbQ)NSHjVapG-syixbv%%;NGCyPlW_3(l$l|uZ>8YR#XoMj zFDua^$)OK;XbMf2&GH+X>ZLyX(W(PPjpHy2B?gRxBc(L4fFe}7&eQSP04jf-kIG8P zj>+l@iOJxUiZ2em-8h#uZOThO7RoeU62YzpPiFaL>WYGiR8mWJrITNWK0MAC??*QW z)n>O79!)lzevSV)8@3up+w-{}BEAN_>u!vWs!pzqC`OJHPxX~eH);P9!lsyD9a6Aw zjUuNOzci**WhEn5);E(JIcD8p7n}SN*QOfh`PfTq-XtK0R6w@ZNg3_HqWHZ43BEJFajccl7>m zSI+?*B0=ZMA^+;glT$PV&2{9U9r)hCm3VG_GR{Rf(MtUAvA(2eEiA1~dT0rnAKv&d z+hl^(2#xA&c3A}$Cf%j6qSFH&YU~q8n-lh|S#_RpMsR-}tc%Iwjrx~+aw)LNZmIMn4MY4n z{Q2A*QzWTHV$J`tc{CSJHa^ea zw%P-(6p=1-XVe6c$fLSm;l=7V=y^Wb990q9k6+ z;?{QpHvd0gcct1K)?=sAuU*h0jDkSNX;&}|^$9OX!@6_sdJNshh(SC7@$5qMD;c;IEnLb$>=2G69f! zK60940^;+DA$96fwK6GFRyLMyDBUprB{;fdNw#&6m{trFfXKM(os0p66Anpt}V> zUn~rJ-Cz?Jma@8+4Gx)#7H zGBJ_o2nbJ&_0iZ{Uukbb753|N^~l6HrJlRhpd&5mAQQ%wMA_cMDdN+2j^<+tCd6sP zr0z|DZU;wV#Fu-92`k?7M`B$0KcMpt3T`9(L+k?0CqQt@k#dkarwBJvL@ln1b3hjd zMV^utgEU7~(XU(ZGX{6`h>>DvR3OK^9FA+0?D zDFHJQkMY5BHz4}?tOirUJB?TZE{!^bM{1mr1opxbuU7rG<@Ho!sshhh?T&iY5qqk? zp8bj~Hw*H8!_7_LbFO=HTn|*S`nn}oErB8ar>Sd7btMSEMqQGKUTfneenB8b9(J{3 zB+24QM`x&3v$Mq6gu3%exnShILfJOZJ1;XCk7J>Vw8N!~0k&R%h^{I$mL7yin+rj*lVs6o;EW-dM1 za0#7>F9W4n$Yo_$nQZ$;A zNvmhvueK-=XBIP~m?CNV{&J*-<~Fx>(^O)MkI`M)ln9LNOK<`4%t0FVhLOFop~#H| zn8_{?cd4vXMv;jw71rLa7JN1T+tEQhFz{|gYtPL$TP^%>WrWgDt-hYE2j(>F)+p?H zOGr_61VtWbxf?wzT{qXaXjiaBhD3`RuteKZrty3e-pD`}f9;r&T@3Hqv1Wd;a3T+` zsKbwXleyJz(it=aw=oXGbqbU}V7seBop9~dfeONH(QttXL~U(J&89obJUw7$^t0bO z{~mhewgP-N+Wf6utwN6USpq+O)Y#7NVq>utd+FqobE`W3LHBH_{HUQF8K&{%Dv9nh zDf7nloF8qen_QA;ANvrBaM6E@;zjOuA^t#JbM^-(2_S&v?5;%r5L^apApq9c%{9wV zF$)ycq+S`;Z3E_Ym@bF4HK33Ui>(lfR@iduS*BPpQkYGvxJE+6HnD|3%Y?TMJdr;Z z5OcPHr!d&zfM^Byg#UvkCo*99g@qav=yDHsvir`KXl_yOx(nyWk;iIGUkV zlSc2vmta6^z0NgKNE&E{1wkwGPT#MGA|exBGEMQo5==)=kNY{H-dy~K0jVKQOl~yF zDD<-G!la=;u@YG>q_l`2h}l94S%mE2){4$6c1687z>Ee%8(*%avjhzK%IOg~rX0VQ zq1YNXM`$jjK`DKuOwM;`T62)N>fH?7a+;5RKJeb+OzgtiUSNMlOQXm@SB`}n=&!9+ zK==S7^yGjCYC$O$aKzEqTtsn9no2{Au757RL}l|IThUxtCZGH3xwv#o6 z8_0<2nk+4w^K3^e7M^pO%UfU7`pQ>5I8^|@re=>#9{c68`Vo!Uf2X*T0!?ZR^#0>B z-(OX}^C2{DZb#acmMa043E73P$kkllWS(ErF_j1h>-$3vVe36#}aHfbdYXo2IST zJ@ZVZ8+gpe(@5o?%W%|lo3g_aD*&hU4M>2O9t6NAA2FHkEHaNU-#nF^c8Qky zLinTMG6cvAHhI@cToK*6;L{j^T~ixVYa1+ISWkMcgH z82oB#P1x@8``t zKTWA0-j|A?FNx&*%aM#e+2-qb>WhDYc+rqJ^ONU5I1!bEHZ1>Yq(U(7d;c;0poSv}`S8i1la||z$;RWofsfIAO`5v7KA zzyvZTGzaROeJ}(~8@&atZE`j3{bp9i0~*sCBWFl3hRTh$(YO@qj#q9@$y_M?Gp;x@ zzO}))S)3)j2kY*2e)hY=rzaP;B27$JAyY#LHH) zuo_HDPT^kkq1Tt5?8$=3;$AIh4ZGu;t5y^g-fM62k5NNwFRz!_69G$n_sZWc^7S%5 zhW&;42%3i!NU4dq402aI-CdP6V8$ivt+I2y#OUt81Mgn3o{&5sZnX!-*&8y3;ud5? z*2Mqod?(wQ8wFz!{TC3l^ny^cD+5NA2sHE(`kxLUq;274+$QV6QZ_>zNwNKTj-)$r zpOb8d^v1)k&$1c;{?~qKciC4sD!H8@=q?Z$vJeZAqMo3U?FAAVu6_64g>!U+2(K)v#WE#pF&;fxS;uQ zv0W&&%V8yMq;wvMz@F%aZ)J3qMg`7T_Y4*fx5k49>X)`N`wVEWp2FCn9=Zd!eE$Gy z{`jWRd!4L0%+Y?NfpaWBAl!(Xkj-#7*_`2dE^tdEd4MYd;Wd!OoBDkC23My7Kj+%S z==r7p)9U6ZVNK(cD_g6~2P=a}2OP^H@5CiBt4L zs`Fb=)JJ~zXNZVhN+NlQJQSix4$jq$x^2erre`d*nORg?Q#X*Ic=xS>#odV_{iSD*C3QC9%PM2F_Kbr|$9y_wm zf#x^zD_xd*ReHL*%!8C&xhHFXI%LCpBtRe9ds4(l`_zbdB9A({)$;zAjILjmk+IKP z3zD4L06wiIz(4?xwHaDfIpMvcK2~LZNc7NjR)XRfBrhRDg*#Pi7Tf17w1`Z#(9}}3 zKVHAKsKxO{3^kk}I26NpygD1p)%j&RR5g&+BuHa(tcnA^6_ zj9=G&pJCv2A+=Mx^5tK19ub_JM^^1ZY1+oHCZ7r2mHpj?@M74wT2CGHJjNE>E^W$; z5<<U(s`Hue3;A;Lkp{6a^rmPb1}*Uc6$h_vz-tPJcw?Fi!d*?R%WxI zQGBsXXG>L0qShlAG93;4$Ph1NAG%;1&~FB{N(F00?i>?%Aj>t5{HHfF1la?$SlFdM_!FK%-@x+2PJWiEujGxwT@<0=~fZ6)G=(iGB`A9ufanj~HG>Xp?twc$YTvV-YJFf0MIrGO82sw@TwH&cVXuV!>o zH6?F16f@7i;x@El2wsRp#O%|7^|FjI-R8It;!IBJ2OS2B{ zD>8)$w&@yY!1IKSyX$GR&lPufaRf0ckd3$yAwn%n(Ugxs*|5`CKftu@lPNDTeHAe! zavRrmRX^D1G3;uBj~qIYmWy+!kwqq(0F}BNt$h`1roUMS0%OfOMFFJ{UQPX>?o3F; z0Y!rP3L?R9pynKM-J_i0|CfOaO-k1@@?b^Gy)p@Cp%FgL4Xt3E)l3VzI|7G*SBKnQ zyjhxn1aj$*?YwizcexL^(t1LFk>e)g;TSVcrPRT-7tJ}8vYTo}#G+)*YnAWjR2ga9 zmXZ41+`3kPW~@w>1n&Dxxf#QmccpkQ*|pC&{08y}|8f|rq0mjH=FX1H*70IhMo%LQ z1^{ptZ7*Qe6%%xU^?fsLxoz=6Sd6jgHm><4m*+Ep<0N4=eQV(2nVOarCw(f8?7LqOo5lfWE4= z!@($BL!G`^xH%O~x13B>9jbmkso7jkLHNx=^YiLTWE7AL_M?2M4hEG<%-n-7o(UnW z51tqeh0I)mS*Rll7XYE9JW_l!973qAsGde-N^dLMYj~&=3TYEYLc9&6f-buESO`5V z_jp}Z!;7rVj1>;Ck3W;jK3tQgOA(1Bi%10nZ9W>v6%(IF@z+-w=nG4#`(hmxbkPu{9Bb~%RX15dzer1rsMd?Y^mD4UH>a)EPX<*a?g7KQ0^b(hLuC-Ca(R> zTZug-1Gfw%CSuWhP9pgk6g7OPI&hp%yU?n58zYSO5_Kqi&KqLmEdP0C`9$cltIk^) z=D|f1L>YMcjCir%CND3bp`%ZKmymXEuE}98qrkSL+T7=pySm{uK=z3D%zRn}XyN91 zX6a}&zTiaTmeVF7l6Q^2G<{t<3`#|HH(Bb7N%v&GS(*3NuNvZrGRbU@0dUJxuI4%p zDnDj;a?UgS=Lt%pbgXRZ9LQCdU~lGwnvcM~l=W_29B1AFbdK~u-FS-JAVS|a&of{_ zE+b_P6K6DiC7J+!Ye^Ro9P?tiAWT=fe;E-`)S*D$k$CJp&^rdbmy z5V%BGlBtj9m#po$q_Tu@?n*WU7?ebuViIB5@_!aGNGut!h!_+{I5woO-0B1DsH8bI zTE6c&45lL&!mA;z??Hep17V0Z>BZFVTIjB{>UF>vJa1h`?c_m9QlkxD&B7;?S^FI_ zOcNl{qHd^lIK6WLRDd1uWzv)i$I#>~FC17q#Wi)#C#l*3vH;TN?6+9*rg^tUr!&&i z(mAtX#&lHT!)Vpu1w16fzr?1WG-daAb(Zwg@%_}{9wHwYaAjBmn$MhxX0Ne^j5Y-s zJz3yh8CbaW-D`P_qK-avr6h|kb^Y&W7Mm#TeIX;OA*NBfCk&oZ-gfb_m3oRc=wSxMz zZaG&R+5*Z#U!{QBW@YS4c3`1@=Jpfil5d2{t$fqLAMT*g5b*xORr(*4bce;eU`uN@ zmhji|t}F4qF&_4faIgVLGbepsHM|`>J6WgoCBVGNAh&~|f8ORxFH3$hO4?W;i70Y$ zi>$0Iuga1>>>%Xh!>{^uTYBY$hjmeZHjy_ev*Z9@*8VKZ+#eBTC9$4P=R2F)_b|jO zgcdEkfFf5=*#Q`(21bph&NjnFB2py#{Zx2*xs7w5WQk-1_G}AFnzLh*l`|}trsxal zTO}oV0_o`_hMK7b&c}ArLc9h_b*f5ck&07s%@SuyAkRM$%$9CC*+ZqE#`=GK0l$!# z2K|@Sj0mZBUO3EEsELS2TE&bf_A*-Ls}6w;xav6m=c~<^G+{b@bMgy^{GcV5lzjZ_ z5@VdOD}ZPXx;D~Mkgfdj!VIILNmXy-rkFE-khd|ejst-p{U)wcJo)m#)jM(R8RQApgFkyx7iylZj*I6vXco|1~*G z^O-!ZQt%^OB}3oGNPN~nN?h7UAy9O&r?NeD5?{@;jpBG#-1!|?RDJ4=P$F44L)3^; z=MW-D`%0SrST(F8ekzfS79-$5KU$h?xytZonvpw8kOJlo9b_3o7hY2ewzoBf#Ar?Eco zVT07iq(%Pko$O`~jhiF{EhIJ0F<#Tl^Fvgue)-*zUYlKV- zV<+jg7rUq6E^Gjreyz|k3}r*DQ@cGs@J4EVydezo4q)$Pr~`1Vf);hbf`I|2dxim@ zyWOrr(|#`Jj1G42-BrRPW7a~qgB0TF1BB}f;d{$x+VwM19+oj2Dm(R38cCKJ1X6JF z{odlJ>`h)KZd)qBqHOovnT5ZcgvUUduzd7@ZUjr=lD9131_1jfA+XfODa!rGHGHUZ8Q|3ikI`10#12&CPf zWRhHv4c(b%~4P5x4MSmtb|557MT{gAmbXXlJ}x z3r!wpl(pEv1@4qWF^bRkiZRC>|7aoWWc?Ved#XYc9FuZ(EGz=ObBJXL{E(_iMlO75 z9!!6NANiN%UMqRalw%Ml``tKldJYvC+cvN|5chCBLA%;2K;UNj{dd~}>Ij4=FLTNu zAzl4yt*bRcTTFM52}^|A1)^YD>TrL1Qmn$Hl?8|6BrgOg({rBUUY1DHgyJ%cMK-`G zv7eD2FSAZK6EFn%U{bk)5S*!6Md|B!{thkYfh`BG$hz2QS>acYy7WoY{ z27?M?4EOi@wN7PTR`9Kjoji%=1Bz z>8Hd0oOCj(CddUjS?*@`m)OJn0x;Ru1Mexn}Sh{}FTwfxDWRYF%(*SJ1{B(>G? zUtZ4{fptP*A5Ai@+Y_AC?Bkmz*qUTW@%}$%pR}VfjUt^{1R(N>oTI6_gVNcOl!( zC3s=Rp5ha7-zP|K)*b1xW%lM*u}_ks>60Yix|nY+3U)C6>Y+04CQQeq3y4BpfTX!x zc|-M+p6!O6o&x^;7TTeEXuDlR3j=>y*DjJFrhJn_v{X8nPctbd@JiBs#REji*wR;T zHpm(`2YI8(&sQaW-bcDEvndb4T;(Tcjs%^O>PH~c60;m11%6#g)wir|&D}%^`%~q1 zw43$Q+URx#Dn1E!J!tH-39O`j4XM^u3?z@N9&fNa3R z%jG403ghT(D5%=uR}-7bTDOvH5Lt9+oxh>=(6DTT8*tS6A=w`vZ6xCUAjQQ+p#`*6 z?q=s|!0AI|+Kr6ovCgYL%{=wOOh|t=OK}>AM~?7H`U>6N p>Om(Banx9ffQ4xH z^SBDdQB34X4k(Y_jKOh^SNNJ~g=<5n@rPU}>)bd~>1j5e72siU9`o6l&t-rF6FEO% z3K&a71&P3xf68&Z(ZwwVtcz8pT`e^>I(exNA0BrIMfX`thBMOPK}S&tb)^w@)@fMw z$yvqD7E++8yt>-B;2p$2M4}7&ExGJbRxH2*b$!3S)3Y}HvwFk4s-%P(UbvVF$#oYF z*zRkKu-5X4gMpBCx!YYw?Et5R1=mDX%e_ zwXJ8?&vnEHm{niK??)>F5;O?9HUL&mS6?N!5he^ksdWLjv4<#ler7DB`%_ZO>ms3c z$w-Z7U{c!KzYig6SgFF1-;uoz{L$uQB!PpJP zMi2mSWGVRmo`U(M2(fe%b1CLjgc!U(aMEesLnLT)(vf1ik&hB;hBO!TP~AC(oN5=k ztKzNwv=^2pS!dh!0xzOL^dHLS$TZoSG(!?FV5iL-cmKo$1>7WVvAHxAMBF0<(8W#U zw%;O)7+i5am5>@b!{ZVVemhJ7a4|H+@bw1wq24PNdQd#`N8K0x3Fc*Hy@(QB#f}V4 zU?L~&f|;)hv%6&UrzK+m-q|5sc>rE|NAR1yHJ#(Tt9Z-q`Er>|kGqqLBiNZFNPI?5 zVqomQ58(U%v(B~zomx7kA~865GZIW+rOJYxx&Q&Hb`#mhzZo5z_g|m^`YcEhm`wyZ z^(#i9)lcYEo3Q^5w0AJV;l(fcz=K_V$_H!lG+irmj~_wE=Svm;N$$Rt9#>sk|^ z%>ZFOY+3FN8-7iLQ-?71?GRdn1x13xv2Q45I@B_AJ)TeHd8t0obE&0NpbhcA;WSsr z-p1}xgk_05_MzBJFo5Qq4rIT9=EnkKSbkC0t+Tw#v}EZ!aUZT1O!Y)z0Kda&A1h3G zc_X^DnIX3-+u2H!(ot6d!7q3a&h4I$lDYDv_Jk~rF@K_Xn*g53R%yNy`>?8<@%8?- zmWJ=PvEr?HKVuEg6la%fonn2m~w%X*(!lFbsU!`h~hWxzXs4X6Kvoaa`lB+5z*@-ZSFa9 zXXlKP)x{#;$z*5% z+r)zw*b`TojzGdGd)g$wUiDOd!WW9+MNV11V>DJN2c_)mu~!O5+x}Z&!r3|l)try? zbj9dUrme7CQ4|`4gQPtgPF2e^{T@VMFa}Z|Qd_FC5jlOfQI^WD79kr!3bo{3jxxE) z_&>MMwM*9sP0k(MZX}KpEbSi3z4X(Vg7J6wjL~hUg8whGb8;+02t~Cu@}#b|M;7{( zN={hV^QOa*=qujJy2GGLpf>)eOv1?!btIcmPm9D!AW^89%b-~#8Qi5-WpfMH#>9-k zS)R`Ki6-0?-`QETXuAAwvZyhGJ0|2_1&o@G$#Q%>RP$Hf6$K+RcYoX+qPDk!$;pv31*e(mHa!f#P5DT8-mD&-(7Y``F12VEW46M;*b%k)LB4AX9$DFetqS`0#2(V z=u_fJ$7NGUOEFkMuWWV?N@SZgrZVYo-UlbkB8C2^jdWs|rF@IkkF{GSY*v~9+wW^uh)4(rrAU_ zq^aQ|MK;CHekd@m_WSZ7{o`Rtca>_Lspn(YF_HVeQ{9P*$g??0?fc&fv2-$7?2(vO z_~viVvWA(w`st=qK3(u}g=iSMw-+-}NWQzsPjrcs(rusC^MiGx-26p>ne>)dZm>p; zB(y$s4yZv)eZ=)PXQ;Z>q$~0)$wuLZ3Fz(hPWl{yF>j!LI0zHR=ISzHtgO)Z>(!Q{i z#8##Ni{kLg6WeAv_a>pnoa&B_!c1|o$^Y#M&f`aV;z*sa<;^t3a=5HmprjNc!*=-8PqI`W4+8^=KP6sJkthX!Gj$D5Q2>v> zV)rz7oJeD64PjUY){(Ln!Tlsf8Buk>HG@KN-~*&@SGg^ECDWO9h~G4^{{;n!!3zIN zULloVO=j2bA5e{aptcpvhIbXbyw*VCgS-sYE|3q^-Gr6J=aVe%Z|%@T%&xEN*ryAb zPn|8^0BeuYNyV%mSz8B( zBFXh@QGt(R6r?m2d|rJ+*B55)#L@DeD7|Ki;@P`r=~0A|Ckq{NA)(2f_k12zhJ8gv zM)gj|a7VJm`pJqH0sySF zFhH}R-O{+Y9hzRMZB$Ji85_iHRtS>z_ zDi=Zsq|daIt8-+ipM!lC78uorZDXsz=C3TN2t@poCTRm_#(;qPL@5-JDV^ttsTbqKb-P-U`BzL>TkcyEouGwqL_=W?jy1$;*`wSK_52eS;gZ8}bi6zX!o$ks3vISa z;?+RC;DXXvxL1A2sc(M6p%uV3`)%jkrfW1honIQ_ij|0XkNX-pQc8#SW3;5l4OqyhX zRNBLY{u7IkEy4nRS&-qN6URa?>wG_?*Xq?vd~996&Y5ttu?#HKE-O>ANNAzd>As&1 z0572EmN2b&6O<(_9=YlDoHQ9Sb4=xn!9Zt2`|8XEM4hxLcvc;~lSFTe>5#3gkj|8+ z>a7t2UxT$Ij3!Y!`v8Ka%M{=grSRv))U*;Ry&9QLB`{oYVd0DO^-5mIj_iazeHeEd z`5wh&Njz1usVM1SUoa8ncFboPJE^vp$WR{aoh5)3cmHxZ0`6Yso1aMN#gw{RjVsFX zt<&s1{9^De+>(4fh+7#ih(cI>dadsOF6F-QGZYXFj^J@Ph^YF(;6|#|a4%uSef`A? z{4b{o#hIWHJ_XnzjcTH@FjOJj&4ztp3v zCRkyJ)<&hvwiV>>*|&4!t&ut31UbIqrGKxRRmHE*kD-+fJ!IMWN5S=rR1U>s)&@~i zXvZBiFFsjJ=vHsQ801{it$>@m+cuF*|Ean5F@?NrE3`4t1%PpPqibs1d|PbVxSLDM zLZYoyH2qv;obceZty%Hk?7yv5!aN1~f|28*WLiUoKs4H;NrAGeDy?HmlPt zX(Zg<%E;gH@7#5Myag;XF^G*j45Dxy07_lkNh|I>AmR-g-L~Z7a&oGe=*hb zR@rRo^|veE6!AiWK?)?m^~_+E+?;}7eiB`FJa4w%zAB^xQ8s z#+<+*zD#0>>qFZ@b(C}7%G*-jvfmY+khlQ{FO=fy$+pH0)x4onn_THnu+MOntu<*TfVKtcOnBV0Md89)YT` zV&i$c$S?yDz&gIS`dTT9!G*p2I%A+MKhh`=D-lt~^|d3t1mR3&*%+8dZ1C^5S0JOY1s%-JBOB zYHMRdZdURDD$>NHfm&_05|>aJ+edKuNsn?GXE9RWioWRTb(LHdg3|dk8-kS zWr7TSb1l$yR!#!^EOtbWZH?!T`|8C2gxO_(6L^T9wC2pzYV63HvJ(8ME2do&b7)vY*_w+9NR=-FxD97QZ)|K$^j5p&tK#R~7g|2J^MUF8V|TfhT% zu{Ib(ns+ex+Fjz`<@{M2NSlT$Q`U8;k$Pt>^>WRTiDVHBp35ph(tO8d8c@HJ(Ku`V z6(ih$3Tnu?%IQ-3;Y*zMY?vF|D^CL}Am%L@y$zaQo4uKp`p%kX^T3H5(k_{PoX?Xn zY8qRhly-AJ>Nx(>eO$H&dwsQl3a7PtbLOJY!+fIvzf&<-S~$ZNp6CIMOWZCYD;^2B z22OCeAkjZgBZwfjiRPZR-U0HHouXmkg6yHQHxd7*MJ{`IQ`^{OiP5r; zz=_94e%bApDAn`I?+SrW88s5~#T3lEL*H+!y0YPth)x4bKOP^UN}dq_c1Ic# z8wM~Y`y*@YSymcm56ve~r@$q-=0zyn1#}gwoe|}{Ww?|hU>tN#@2%vUKk?NzQuN4q zZ}m=((*V2;BYJ=7F}R(3-5~{2`<@>|ae=S$DN*DljFqQ_`7eqFxjC^K5X_bDF1by* z@;;~?7oTBE`B}ewEIs@0T0i6K?zN3@IweBqXkKhc844cp1h=wqE`C3R!Stcr5H7I| zjp{^C+G){U9D&JVAl33hRA;1#&49&FjifbPge4lSip zk%f!%IM09>?{tV0b(Q4%A)Gf>7*)@tyT#QnxfJO9fCr#ZJnOpo&A@xGROLr+vatazmiMDZ^R(#%5!Cv%up#k%KGLPVByQGtL=52^os8R(UCYH4RE0rIsx zLn|G!hG=P=)9RZR04zY$znszqcKObSu}R>!r_ObTL+JF&QuN#@%_2uXKGDAFGa)2m z#*L)8HCVZyH(58;rZU=rwts_Zt}VEhVG1*d=h?2OHvLoA<#a* zlhYRabv%%2&rUJ&zS}r7%{g3f$kusD=8bW?Th!RPjNp!Ij=!|01r`i?9%2#6= zWn9Rxg3j!@vFv@*?)N%At)0iu_`K3dT0{#GW{}-BZc!|D?6GH*hiAkA4#vKo(kN7e zkQlT-wqKiU<*hf{#epu=oJOd%nS-ncqWci;7fm2B&6jCWIm6XpUUKSXH~ARBS3@0w zg4Ih(kK_&n4iwnNx{1o!9}BZtpvWkxWEab3fz-#CTm zbWqH2JkWK1QTFm3naa~LlU+dUu~$osK`_o`{a=~M*ybu9PFS3F18}S?`#v(}bPCKb zy6nbk7q`^J@uAxIIWI4^JEw{7r@k=Vf#9`5qldc^9q7)2*=PD6QnY{1oXPar_O`v3 zQIN44{%+{sW1c@VGwFU{C5XQM$MV1>50Uj|ITGi1QRMBmK27;I?fh&sOO$y|*wK7>};y&tb7!fhy za=`<4Grf5^F%n8vf_~Y{HC^3c!@5mftj~uH8C_?@;%0=VEWd@N<~6IntYlxw)&HRe z@y2Ii&XH7p0!gBXIyDxdIS7u3)c&ZN|D7u2EFY=3Tr-;O8{qJC826f&X=rp^Z`oT zcG_SJ0{u%OPi_`bMrj11fHvKEd{8fJ0s_XQzu=?nEHTtAGxW z>WIJhD-if%&0E>J>O1Gv5rI!(QtE3K1a&_Ngrf#oRe*xQ+a?yoR!==yrw}F1;#31{ zhKv3iWWk)~3lT6pVbzC0Y|00ip~Duf2h$2cTKmmZKVR%JAoG*jHdyafng3Z{NTj?< z0E)YPyQZd--bOS)S-TXQ%B1BOd^3&q>{61jl`{lgUT^|EX>Rp4HP}? zza6V+_r82woicb@u+GAe%woBiI)q65Lv6fs<^m}6^2azGTFE;*>L*EFRyq-gU;^W| z5RyayP;0`e=p8rM`a&ZWI(~1xm;YVkZ*#M@%cpaP5$VSNlLkJ-1WoZ8^ZL@eujFXb zBk*T&GHYIq5dxwU42wvJNaUz^icUf`8)9RY@KugL#ZyRc7oLSkjtm+o{kl4X= zBn`py81(lq7sw0YZK^gFAGq~INkXt#C)VM1;GV+S+d+YdEdP?KI9qX+168EVU)AKK zRHeEE0oz)*H=D-zY)lNELb|Q`+pl;f2!~=1#ad2m{%nN>cqfSu`>jRp*leT(YP7 zn;%rCD*bOO*<6O~G>*Mi^8Ncu>ki7%H(Dbl-exTkB{5#e8U9^+V z(+0j*1}geqa^ZK}@8LympXIjIe@Y+f3)1jLMPW{z39lQ$r>9ryXpzmpc7-f7G0JU3i7fH-Y{mz*OVs}#UZo94>lM>uG(y)ad({kJL&aK(77~LsA zO9#7^j5GE{ybc_8;;fSHK%_vxl9>$iuCd!c*s*~2GHg{p8Qh#k61Mra-!H!=5&P;F z<@qYLb(ojZ#|5(ivx7BmZ_qFs^G~0IK~z?YAjcwW=|ULaZ%e*l=?Cfo#FoqjDpXjG zt;pe!#*fHE+?3-zF?Ohy`k(g@VqyU8-ipe0ePWG*sm)h^rRbvxD(tHNS|+S=3>K27 zzB!L1;c%X(BVX(&%E<%&xFBOQQVHpXy}=MCbcBr{W)YiIK&BVJbH(PtM~m`1rH$HX z$p)mJB8vKs9xHH~eS+p}GwT%yiu}Sha@&ix%QNY1s8JES zBV{Jt;zjk+)O|xD~#H@qYymQ8S9Gbmx_aVcr2_@YXT0Rj0 zJ%^|^ZY=J!om@6{#0<8wsRZFHcjC$#0R0krC;;51M0GZN_bb-<`-@Xicx%SN2bU2Q zLGOZJ?X}TDGn0l;j81r^%{3)fvQ%;h_=i}+Ow4tvAW<)~;>5RW7tgW9@trNuQPEX}WbwLG(F?*0|d#JV}jnYP>L9tH3^R29sDTyU90*fJtw zz1`cz2EX|XnF{t57iu8P#zMq^yZ0?q#IW10k1Gt#KrWSEdY`MDbk%D44z@>8U-$=P^VYD60 z;pLJ6C8f7l4M%irXlgG^D&_3vu&lr_pt;oo!Bhz()Z##K%ROCRgV5zIJ)cg?{+V_r z{m_&<9`L*?4GY$glD%`nClx~31bgNV*b#`+rr*exOcuvEQHG97NgUcQ9Q4ZxbXSj%GoX--^F{>6K zFTjjlxuvjJj6j>vOL!f=rQeXPM+Ni#=3^jDN?gcZo?DeQ`wRy>eRX`8BycJhdWxrx(p6J$5R{US17Ql*-TD4Q}qxDb--*K zO25jV!J{{5jLAp%<^iP*LGr#I{N{O&Xsf`6x4I3)z4(XM4IUVox!b`WMuUpo6C`@D z^!JtR6dP@BHAO?wbi^+o2hEQ|bNEeSQZU>P#iZV_!A%i#Vf(=h;n9SPW9-?5<@;(x zvB8Y&LG2C|K?bjE353KiARM-G_J&%4fFH*7+`B6Gg-*FyP4jWMAFslA8v?$BJ-0G5 z^oqv>EgsU;fk$HwPX!*Uvy#%|tiRVa2Ni6Bi64Y7->LJv!+jrgjjRYj9X1RxZ`s32 z)o#l2y}gD9-}eL3)f4BI4=MMrRTWnh_p{By#%`Ls4>QZL&$*q_N$foP3jnP$h2Ol3 zrZ*j@M66y@4q6&uYf0BVXR!g%!?XWDdxh(Qyy7qTNtYbCCk$AMbGS%dZ|L=`icp+h zg0r;)LJ*08Xfmm^4#}m8wcJx^im6WqnMF<6=xqvFc-qOMu&X{nXpw)*#s#K^mR9-F@7DG&*6jH90d*cMrISPyWU0j zw?FLqKwVR}y6)nBw=+_sX`h7!>j|zK)OvZ*6KI8gviw`GY(O}0@PHV5^vdm&(DDQ% zI5unB;;ZKzb{3n2LdjsJL9v4rDfj%sC!qFds#aoj-IJFoFmk+975+>q92@_8JTBwX?wc6Xjc(+VPZv9+WNN;{D7(!k13PhnQOk1-%{A$fe_ z;t`a>{r9O3-gUpH zc|nSF$HBvCA&tVxnxcF`CMI<4yq=$|NJjyeWfZY^CrPa#97%;!)GJ`fdu{m;z!KvC48`jjHtb#8O1bD*{i!77c+og%$lRKC zTx*s(E3pS!oAsr;jOp3y?BIq#*twI8 z6ai26O&Pl5zU9Z&45o*lpmKk1H$$-Y9`iC>F6(ImoJpgG+ANQLHhQ)oyVmdfBvYWE zxDt;S;iVkBwaNOq%IK{^RojOp6!gnS+b%PuSe8L)NL68lFTqg^+AUn-cGq-V;_Th& z>+Yr#4uflyNjWOSm5T2cV)%r)O4NH_cdb_YIix5&8uR(i2bDDQPU(*ku6Hv?kWcd@ z@R^b#>l{(?)gvCaL$;UVXE1-=bZGeX6ipxSccztq{}lv+0-XZ(YQ8Qbc}P%tsAWN{AW|Rmq|85^CzAGHK(+QnqhG zrm$;y+X^v4JTHd~mLie_RPn~yDn9ULPMn_maTuPvlUIju$8e*ADdN0@CPGtswmxT8 z)@<0sgfoWYJ@tW{owVqMiRyz%cwVy~2}8>CGMW?Fud&;$dogGiO&QLuSOh6O(+~pR zYC%A45ue4pBog=5g)IypDnU=NHAXQuY4bZemaDTVN|*^Lp<9DE(&nG^t-W+dDYYAn zbk0L1L)SyU8mcV<%=2``F%K;ox}A(JryJn6x@8^f03|m1Z;)R+WlFH~#k_G*wvs?&l?u*ANnc-Vyqy0x?+qx$qo;9pV5yJNKD_tEM~M;Kc82} zwOe{LPDJkvAo9V5Cj6n$qxK`wJFg-9u~d#xf6l#N|8{N0GVM`f;3})>NKxd z_w8%OQ@(MDyYP%)jj-gFuC`9ZWpa_?Os(9|?-^oJagjLC^){;lPm5oWM9DU!!?>&I zx`^)zHNDJ)(KdRV&eFKP1MueaK~V_$@(1tee@MvQq(8aomk< zWrZ^E1G9I*5limn-KDuzaofD92!gbhDcpu>mX%ZchR4Zg;l|b-+qiM@Vn79U()u_m zY2R_Gy9UD6i)x|`Ux`!lj#j55{x!cr5r-n#GNlILo4lvI3rInWHq)AA65U@#BsS+h z<(Q~nF`>u~I#?LTEJ={vPku1*!{x|W7<6A(|Ms*q{kLEJAC zaOYi>)0iL=m?h2bZ7xXpg53%{_c;pPl2lJPZ{FB5bs>9r(e|p`z7m0n>%zO|5xtFB zs7)IhlHnL6-7)BU^<5;LLDv)1Jd-4kgFC~qyQr%@oWQ1qh4eT`uQ+ywafS0x%5zH8 zVSNL~PlJ(|GJLO(p+C^gmyqI)50R>wfq8qhn?b~k62F`5*}TaQo7Hjn3zHlH?i!M7 zVxN34E`9XR;w_I6VD>{f2aC=FDH1b3EN}QMf)R6NiGhwB2fOFgaJi?p(r!IkmBx31 zJ_os;!~ZQ^#DjiZ==j#gI!lsrCV_bF%^S@0U0Qjlw_T6!H6*#Dnb3g6G6xJcBD~vw zUl?bC2Z?eabt1iYGHriyL!;=1b9K!|SF9+k^P`e+;OxiiwLQ_26FdX!o-hZXvv!aw zSnQa;(;(X50#5Z1v}2S|E2E}B98W_ZFa!mllz{nc`$jMpl9 zk6WnO#w>#I9B$l!l#PvSaFN~lm3#xaIM)h!Wcsj0Mnf3fGxjN@zuwS=#G-hCxMCS% z;_ZA(gEMEx!6tUKLvbk`u-CTZhzD0osF=IK0e9VH1e3d_^93%R=-YsPOr~~=*@m$4 zRB$XR7;NqEp_ZlQ*+wXS)T+ApE0=N!H`%=V;>^kHJFzh*Q zjWF3)Q+^~OaO-Ea%J@#|gG-^U{2fq+eM|(O&htyN&}=ftQ~6M2{Esb$;6DUL6Do>m zHtnipK~5bH*^yqH{^!nO&#VgTdV zKVpUa&9ofr_>hB7olnHdI(D;zL~fMvk9@wb1+~S4GI)O5AXIw$FZpyrkRFGZ7+9Julqat!qgS7v&*k>pa4bV^q6`<_b z&Q>tL_?rbMs(fca8F*WO`YCr;zkS4k4A;j|#=FxuqpFwJ%` zIUCr4@oy9NH5)58kp_AIxvr}A&JO)8U3d{iFf{sUNii5ItBom>ZKHasO(TwF#1po) zj1~SxI$XflqH7X4r)%2}td4_#v=+!lSRk-a*T&Ji()NwFS9D{ZD&^Z`_)1s z)1+Aaqsi5Yvq(#JRt7iWINmsXBPwxIm$&eO{N7=$Aa{zySxqCji!7zoFoNeq;)J=| zpJabv4dHzj70RpKcJ2!C7cGFY@Bn&w#Grl~r^AA%d1pYIh1`{YI+7g`I!&px_wpwl zC(~eXbO~8Ub+tOdm=XEMN_=6%+Z*H3JeOecePBvDa8NFUVbg8%Ld&8Fg)ZI|v(9Hl zb6^R^6P5X8?-q*UC(SCyRns>JyH(q{49$u z*w)U{ul{e-2QgGPDh+p+DJPqfAE6G4g8j}L+&e!^H#+=iA}0Y$h`cU8#vBr@=cOGQ zf@^3Y_e@xrxG|TCj@%BU$?Ef7CQiZIW~M4Hq(mM1-?pD<)`CCFoV@T141~{`y9p^K zL8BK#S5EU^&2UAY^nnq2#r>N4v$pocfQAbQQoE5vmu7rEF`oW>cNrMTBRm`m}^$^Rg^y)g_HRMDSGpJeS{88XUm zUnkGDSFD`)9$zYCH8A9)K-<9mr@k{DFg(p&r1?3gjAa5|r9%cYAPW7_b6rXh$av)j zILhLa3R)>xo+v80qAYHLGxwx;DLuYs`4*3{u9I|UGG88~6(^aD`bbRGBPzqR9@OI1u)@ED3ghsqG z`lNL_;GiO?c?R(Mm;RjjZej^vx_tY0l=iKXh@BZ3Y%Cp~~Z7%wyW1+6t%v_8crIq#j^(=POKfzB{2GjIq>P zH1kHBle(^!wEDI2J(ZWly{w6x+{JW$TI#Fq1Fil|dgSh}LtIPMAL1KP)rl%fD0EKu zXBBsw$K*azr6PxR`Z!^>)8|7*=R&4%()|d&bwbRs z&A5DLuVr=P>_E4KnzVlMapW3zDerIkRZFT zSkIt{=j{cO4Gna-d_QWFbM^&Yqd<|(lbn6eZ44?8ah4~gVoEKO!~khU3qwD)543%# z1EuHR@KJe~c5^w%z%$@@9$kK9upw)}%ey1r4`$spa`W6L#$0eCDh=B@>xo3lxxYgV zO3;rr*rt94MJM&>?_HmuZ7)c9zR}Hxp& zNJ|HtoJX`0c=;AJ(G`A+2I^a8ZqYwpnmdKRMo0%cMmM%1V;p~-kyem z&$0w}O$h4_;Z5&qQv#1l9>F)`@=;v-r{%E86&~iWY|#8|F@`ImMnsVKjPhQ@x3Evd z5j8}eBL;&w2k*f0f zP@+$Yc)NAk)>b|Vltz-d7W>l_aaRMdNAdSZYk#Kg1QHQ?L*+wHWa({Cx+Hz7(n6nuO62C&jmf_3m?8>Md=$NLs9I%Wm7T>K&agjyoobCJ$<9tKXBuxpDkus$8JWv(L<^_ZtQ!hLCR8$1{>r@?-Am2N=e1Gt0T zg-j2gDJMY0y(wv0NS4%0V=kyymP<;S^QI%U&o)$OEiQ)k?jO67@Rh^e#CM)=LGd{1 z{}G(wkvdI^3d;4`Lu!iF2qhn~c0VL{$Tw{r^BZNP^7UP>>dZMi=*Ye?Qhul*Gj`%D zinTLLW1r`C>JUp~Fc8pMLv}c)$O?x3S@8S26jYm*xOY{3$IBOKPoq~v+#R_~RL*R^ z-4;!`R-!#?%(`Z~FrYPP4Xrx_4cQwLMd$&6(ThnEwOx1!!_OsJ@_~Ux^YNqml#Mv9_4~mMn zBX$LzcH#nTyjZ1zp!}T+a_;C}#!wPUJ}W9PY^&J1tN?BWfC*&MJ)zS*x_eha0?9P1 z#VL6~l9=G^wAET5Mivb*6C;wijM zH3+QeCtQ1>lS_IL_I)$Poldj3kRz2{)7Nq8Ftt)ZZDEtf83lwfcq8Ct_(p;)&xxvY zcr4N5Y~e0@+-VTQWj*Bap^dC#@E5R+Job2g-vf|oMQBKv*PC4gYAjMb#wPB|#^6ab+My zbiuyto%yyaVK?+Nw)QcLVsNvmu7c^Z7z*&l5Vt^8QS?MXYpT#R;D5bj4 z!}0-sd7)l=1b6Yi^eFOS+ln~A=C>HJ>Xzzq^X5_GYpLViS%#ENiEI<`8&DMjF@d`Etq z?lcmghh&_YK7k164G@~NpkpVXaQAKOc0e(*W}SWH@k|Sh6N|jHum+rW#v(q--z|&U!b5S$Qpw=H z`5i5rVd65X6=BceL2&v2oQI3^kL@v)KEc0TJ?sm=A$me}j^(qD+cbO7$^`LZYRPzM zTZ~8Ld)V|h4KBJ4a1=KK2(85tLcagILcId`o}A5G^KnsLEQ#cnAxcteM{%B)n@=(4 zmUn_5gi{0N_!{c~9LI$SMo)^XmDPjy^`p}xv&7B(qH0M}FJGdHkJ}XIW3pXe z|7~m6p71xHVfs1o;^U5dSLApoxC`(jYceZ7j)Qn}j69hq_+iP>pBi_>(apjF`bufwyXq&B?CNMI(uv737OU#&%E+%W z{~Pt$39)a`UBJ`u{k)Gv+$A%46y%b#Qx<-Ikem)|LvE+j#^a z;bk4=CuvJfz>Ub7_Qhhg@RPA#{A5&KXjFaENAlk-GwC+lA$igIn-AJ}}5=bdy{ zh*zph&ZM5nn$^ob4x%)iZwOe;tj#weu6d0o?&&_g<%_}!g3H&zWw{K^VuMpPO;?g_ zbD4JMsU6M9qpa5H$9fiIzwDed#qBvHU5M?Qx*^>&gR$QFmUL%0IvB*n59~kCb>^G#d)y5%N#2V50z^78-6=K0KA(j zx?|;ApXFqH52km&Nke?OpR}Vd{~&Ok*DPGO>K>zu@8AO}lV?5C0p>MO2JR>v39=S% zMAQ=UgV)5Zh`1(?yJhe%thOr!?jbxf5~{;yu?A-h_Ptt(3mN+Zkhi{SD1@ctmP-0b3@eSF+8(UJlq2_>tzT}oc?dsPVoGdjmw@BU8L9k{9j(Mm-~B^ zzSASzWp&vq24qdTW(GuYxNPbBYb0>ztv2fnbb#Ey9;?fIbBiB$wtQ%!eok@WntUaE z)3Sd=w{+IFah$xs|Hl=zijq^J+MESCL}V*yTL9MPOP}ly^gvYqXq>)I%9z`=`;0y& zNxA0Y05?*u65CQ|cC;!hvQ&ljx{=bU))`$F14|1Bk=?8kf}Cxm_7>+PxR184{x9Vw z#vts@VD{$eVhQUrwZZ0DX?05e9bq=ZYYNY(FA)T%Hx>8h65a0!V$8AH8(~4h&2-K+ zQ^pFmv*=Bz$oSiSu`Lj{=j%OBKTVqqVh-Ts?|V39alnq( zJUjMQo#ag@@(5Lz2KcPrI3DTo+ZrF+MWi0xcBC9Y-2U#@#*s^~i`S-x5$g@c7E(OX+8c(DAzUTuKh0~Ao_qs(6JU< zff4A}m7NbA4S^8S$)7r)UFGU{SZ+Lm<+>tb10IjWH6oSg@izL0FGRu#jE) zt7QzQM;tWhEBL+C-X3%>s2RlsfvROm|JI#<7asU=rb{-WYaclsBpnqGNfhe6>`9>V zq(_VE4;i$+;>v?I@Fzr#+Fe|vq1Rg+2-68GGi-S&PqTHOZKG*?-W;Z|F*vlo7X)X* z4j!j+uh%HC`X^Gyl$(=UBxLiXrEM8M*}q#E${^N1lF_^ZNcZR7rQ^_;m~{zGXybE& zIHNEd6$qQjo1XtbzGkM&q|w%@)NdQuq_znND72U3`aws3>3O5O>n{G}DQ@R}YkAyb zGYL@;6a?02#$Fn_jZa%=eC!v^rE>23Jjwi>*co!3=eDXVXM#lJ;RXM11y0^sT8NY? zaWa}$%BqE^M}M?D?Z4P}SCD(=W$7W^X`MFel@ZKcY|@&i@w+jO-g?gyY5~lK%+f)2 zPflYXJ~c{g4j|kp?&T_eqImoS6jlNECfhD#ib)Hhkf`O{yIJuzWpY%(+qa??gDCX} z{}qLsv%4x_a6dyAPdUysfT*e9oVj6cH(hXtN5CdoV4Bk6oDzl};{+I_5?m*kFvOfYBR4{=jr;Q$Sjx3&cTB-Z%y51vq%zc2%tRBcPyXYD zmQrb!vLfpXq-bRZh{Cc#zZ0#{;DMnK7b<4pP`jCOS${>JOn#o{jg1o#L-6iAo-?ql z8)C4^p+aQ&hlo%O4+fMD3JV2Wl}iik)$~+@kgO3OE8LS0*%G$*|=ZU zX6CO|g|g0*0^!NX!IrX2eRNs}+i>T5BBk#qJ_7#HFohCl9w#ZN)CE$hOY5?RVw;4Y$oj6I()G zkBscrJsRrX`hfTe@2kT1Z<;L*-7=ml>cA3Be`I%jOm!F8xl;UubqXYs$z9O7aqkI|ibaD)L zI{I$#pN2JyxSvdw1o4*9H@G=7+?~+{gSBAwIKVpouB%=-STK6@O$K+PkIB)x3?<2( zRu<3Xvx;d>O6o369)$E%Z*io?)J02oWXlzBJ1- zsM=qT``ndnM8RfwJosSP4hmR8MOO7udLt?i5S=~@o{ye}gp$p2Cx8AB6c~bfke${( zGX#!x?yukVvzw`mlsPK)@7_))npl(M(T!iG94I+xo@auha)r)67pzZPUI^wYN4Nrm zUj`xrBxT^dp^8^Pd;`Nsr9c$SXsu+|%FBd{m)@1IP?JYAdbsl&X?ROBvZ*OqG??w8 zjI{mT6@R9`rIkmm1NeGU@;28^a|q2+`o7*A8q>s$k2E@Kw2so)f|!KXj9Jj*_hNRM zy>Yu7Vw+N<<)91+&^4ZiP8Lo>7=-*@W|)(Nt1T*97-1@Im$cKu^3)$~dhah?Oe|)CH zz|LpYyJ+pfk>D+|sFMgYemZA~N4*pMoY5+JNW_zVE0&2(QLQsmn9RM`ekDHSUR--I zM5;W24t$;ElNMCYVwxsRrzO^ZHNBJdNULIA=7h<99IgMtY;I271;dt;26l~%I00O+Y#*}siqfXlw+nK zEeNMElkqS5c+vA^DS>TG4D|3{{lb$C5)#k=^UC6rC1xzi0LSS+BgaMOwTEU`;wlk^ zM{q;qIvtYau4#OA3Dd8ym5j&hN?pk5k zr&iG_qtW%mGgimKWLu5+@BNNFP?Jk=LHmW8N`}Uexrdfgxz4Xsw38t^yZyrjc@TCI zYj{t{!a`l$y+&EF(5sFL1@wu$zFZMlFd$$ZE1}WhdY^lj2pVv4k9D1S3?*hw)hnsyZO}j*!!nR4r2FHYgedCD58i;8aToqbcdrlgH;6IlbMVupmMM z6d>Z5+N6*VUO1#u^s|O?0tb9zqf6H&bl4>c4OhmjC{Y_~ycBQI6_R1J|$!d24Jq}*2g>TojapD5DPd}8yS&~XCB6TuKmJ=`xK_An#nTM6_Q zvv~S%^xfh|GUQ*iipfsLa^z zcN)zZ0praR6=TF8&d_$(|72LQ9^y;=UNl@-#0(^{E`>J&ZCYtJV;&l_+mEv1{uaD) zE3_grH^diwVz7Wl(F4e48)_B8Mi=7XaD7P2JUyU5iu?7)Y9*(SSJ&Sso}ylsJ~Fss z@5l%sDFu`62v!csxIiNunqy3KI<+y~NCP60Y^_T%#KdR8{P+@5YgG{}7;4pEQ6!9U zx$hy(&n$jnDomg`ctsQF#pLcDDfru)El>E>DvP`^skZN|MC?cj?Y%ZmB}=QHMoG_Q zQ4JG;#CV4BEcYV{cW|nN9u?|s6s34@_3s4MXv?er`FeW63B%0X+4-&ffv?)rM>DBE8;eA*=+m#r@O~&;ssupfpfy!OWjcDxWLE!Hj7o{W`QHzCq^DD6 zpJ_KMpT>o_AjE(cr{_0L+g{3zOge-EG8d4l!NY&u8pV#^m}|17&l|<% zijGm+9?j>~x2ayt>(eUQ4*XN-cKBsmvq-s4j#EKbKRUi2INJo|KN2D1({HW#ax4eY z!0pgXV#Eh~wmNXrsCG=K7Svt*#&WE6C?QCMlpCU6KQ-_&7S0=`1^7WhF}NUgC{rPt zoxnJ9Phtt)@+C`IV)QT!^G9XOZM!Qyb(P6XHsZiAW*qDInc&k*+ugA6VBeK==?Vp~ zFi#M{KV40{3kJ;tTfxd|t2CLF1U?KEAR#)dR&?5~C(GE_I|lj%tL~p?OG}ekoQOpi z>)A)A-g#b0FFj$_+RR1$kpghtojcz^%3<{C%6q|YqyB7c35|EFxCCeeulGd7x-~h? zL#+xQtd`%iNaOG@c>r{Us9}h3)CcjWRy#$g3V~T8?pp_D^rVv%Os0_<`KjvA z&rX0~Pe}0cft1Mg&*TK|0`HoScV=2E`k^zwQ&N%%b5m-=diNN8{R^JKKG%nKAAN2e zJ&~C-Yy(9Z6N8GK?USL^ZIaZE+Dw|hPeVj1&AD%(4EK8`)PQoB(L>0->YH~kUCpg% z7&9HFOnO!-C*xt$SVcnAL=bhwoos!M7rT%bLrJSBObd->edsLJv@&P!o`4TEQKxVp z{Mg3Rz2tL4u5?Geg&{VrPr+1^N&zJr{SHRVtfZ_o@8Cu9+a%G{wYnBfAQf?@!STkP zXS@PHMSYJR{aYaa!1TruKFTsq;##^o$|x6RO{;V2#2q_4OTiQlKxGgYPp2*M0lt-c zbMu8`Kkz;6vi-lsm_2KxsS9&2K$x+rW8_X5zz)c`ss;#|6Nx1F4?mO>N+03FsI>0O zR>4w&fCNHc7YaAmiBuu*WvQ2MH=+;0*U};^l&N|R0UsmdP;G%l%x2eB)gcBjm!t3T zUx-b9ee^Vi`P33jza$yW!<#pEcUJTqi6n#Tr%s!E=5cm8lvCa2@!Pwc;2@``c$)4{ zGM*7BNBk~8?V~%3_*7!Bb@v^hM`~!ASWpzDFUT9nrIrt=go#P28xzxs;HzVO)_h>he%eJY)Ex#hUHfWrJKV&)U?>&Wo z%8zrDxv`!#>zRRNOF=hUBtZ(XP#P&)+0&+jp_QAktoNp|5(hvPge`bgf`~YLvDu2|f0}fSy;=P%Te03pZ+nD7kj2kGY#SzXV(VgI|TNAb3d-HSI zhoplNB@jLO?BrW;UK<&&QTd_+1=ejJNumUmF&)+(Nw9TOhk^27$%?R_!EK81d;Fh0 zl%fyM-z-SdzS!M>Ogb@^I$ zENTmQefV^Unm-6_%-T3*`{glx(EC1p_Br2MP@1{Q#pmg$sthaNa!KI}DR|i&wl{qy znZ>U!8R{mXr(VCr+3j7JP&IxgqQtP+2G=iI;HK-L07EALfN9d_q>4H+_wB4WtDd}? z*dgUxApl|w?fY(Xy8@;{QkPx-#g}=R+V0#rPRyvEaj#0gB?Yk;hsm$(jXW?ye4l}n zU(h8OQCrLQN>tb83aPa-OTGJi!r~4%F>YVm?zp4AS^lZti(#*R{{#Cv_8nWS6X7W3 zUhl0hu?7iCeo#lc5X?~*4adk#yDXHr3y@0=U3AY@i?7f^zMSX8V7Gd3U4AD<>K^~H ztl4|w*yKNEYDzfTg#T1GzgtqVV_2@2#oLxIc{VF^Rf|sdpe{sA!bqFD;EcFz-VpCu zH%DNL=iqW<@?(-FiU3GJx4(qNN62eCyV?BerN)RtMp=4;aLYvs?xEm&kZA@nzKbbKna)-(3@U(^EUB1bPVWW%u6M#vMVbB(=vzk1SIaig7ECw@ zZI{UUCf0gOplorN5FMEZIpZ-eVeXOT!%=fP+Py;_sG5M~iqIg5OOlpkuo zCF27pso*%rmMxWXME#_iMU&k`0?QhQf~~fO7$oFMmfq28OzKG&y8Ff5rNj-)FJ6xw z!XDc#3O{??KrW#;Fu?nlZjt+QuVuD?79LZxUV3pl2uHWDov!b{GZ_t#WLH&F+}9fp zmRYZ?r1Ka@A-F=*g-gE*4w9{9D5BaW|Kf|CC-qZydrC#AbYB}CIYd&&sN9e^dTU21 zUrGB25EH^_R)uW)cNaDPpcDdTF_V4;ZDE4oj#>|b7uTHz@w!KEeWzunvTSl=|62^~Z zC*vFYVcI@GGh|G~x=!EMOFIcWODj=ka&`a<>LgoGC_*9j2%v9VnU^#S<=*>aVJJ6bY$8EG znM{j-vaxbz51bvJBtNO`G?(qK4y+5THC{?qR+uh^kWb- zKuTnq$+UFsa*uelLX@i4JD8iDtxq#A_$H$2(kQem*5#g*<*{%s*BUs8?Tb)3UJkbF z1FtUjUeF}N=)>=Cr7K-a)sTUsj$m_U6rDjPiSW6nZqlXbgN2~>0}wWknRCb8;hSY= zLI;+7KSpE_|8e1+LcbHjWdPZdK-hUWoCtxG_SaQwXc&to!IJi|YC5)6%Cu2*aAGL@ zqVj&VElyTfS7n>4y6qNpo`ugik%vX30E|!kyRgXQm$lf7f$fP<3GF)28?)Q#gC2Hm zijh8aJ3hj)tjVDv>8r1ou1WXAbZ&FYS!Txumb4BpV481p>;{^YK6)<7@P<}M7`en` zD*h8tt~Iqy-RKfpK_an?P_r1@8qnkVN0k0VQj{JlgwmKGNtFW;zC z_`lLgmwUA37xk(N6^H=iBKf%osFguVsC9YXK)}h}b~!>T4+7YYCVlRPB_Ia#H&F{+ zvr-0!t2ce=zoDiw>Y%C<(AkX?Jd8mfsO@c%3pO`R5>!kesM~3MzEw)%)_V|)T4mLZ zR=-@~9B##q$8u`EkF*{2wh{z#SoY1A>t?J}1lKe@<0qm@mjPUbLX~=EE&TCTPf7|3 z3hkXW=uIO#Bz3hjMy5X!6O2`kDM80_a#Mh+aI0g(% z`NBC>XT+*Bua(5v5a+}zWNWVmE9wV*_) z_8U;YQezIroGidRF_{k-43&HU3_y|ceq2wL+r=Zcqk3!k?; z6jOZFx%|E;C7PG;{};2;-`Ojkcle(jhfC);H52u_4Uv zkDQsld`8a&2df&6&*dbq)bb1Yf@okIgk34vvqw{`!fuagG%xUvSWjzmiCmZa#nVMu z)e-VDJS9_8H5VXeusU)yRQaY=ad4l0&Am>&zN)Y8I>j^a$M-3tTIVYWxD5pTTbb#} zF%((Vc2W|fVX=C8VOUpoeDfIWwgb#DC2=#OxkruHl#J;leSB5uD%hFH(4uSsASqNv zJu0CPdqqfNN4>vBi0YNWeZS}=LJshYd|iF}2txU$AH#1SL|5mwi9>4ulF1D1+Cj+V zrcYM73g4hBn0nKTW=*LP9QPo(e7-6Ug<$k1-6bl~*S^%Fx~b2Rp!kcPemm`}04<#bZkySJEkA!Cn-T zF)7v)Se>%)bXLZ>Q0(xbawX?0brg&UNuPl0kD)f4vi^YgMsyBV_p9`I-P;6sZ_e&9 z869|tExZemTSy!i0CdLVYJ-Toht8>#T`;8i^@*7$=8SeDFPff^QVb?c z>l3QtLcSZ1oC8u0)ax}T3uLZfN!?>5Jv&{<6P0+wtFl&)Fiz7!1vV08lwWU7OQ44= zm=JK_=@bmd$bV~A%R0kXU4VRuRE^+lJ+JedToLokh}iv-xQZ@q*Td;4j3zj0NHx zv&Z94BWvG*@5OKVqE{vXGvQ5>y*2FDc#UspvmkAD1{sd}wt6VBNDFBX9WzV3r7OKF8W=w{nN1R>QC8xazb|mtps`R{N7jN7Y^9>HPPtOH5FtW<}ObWlUpJ0FvUCW|hZnAv70>D47T4Vs#2ENm#LG>ECWw zouNr3nY1lpaNU&1CDiz(@-+|pCb=oXy~BUW=jbMfgtF%eX&G0I^f&h(R@_sYuYU|L z!nWT)S{;f(GyHX6MkUJw>LMP5IU1z;9z0Y+diZ)AuK7oIbm0J_XaS2aqdbTp!12G3 zxm12ZDcz!)0suN-cm%gSL5Ro9u~;4MUi(FnaRdF-1&7aj(-g0P^h0KXjGNbu5>I_9 z7jwnHG%Vw?;8mj(X-n0Shxr2)9`*4FCtlO*EKCzNO<7+RxRM3rlIz}JjCis!`h+5w zzNCwc1Nlbn`&JLW&Uz0#;}zs!;|_f#*@^hiu_AYy_ENKuW;q8Kmp-70dHc{IrwjJ!rxHEouiPfT`Y???B`^3sP~E z%!1fu(TiJo8o6m~GMrRpf>n+C$Imk-L-jKNcpdy|i%XEDv8j-pmyDWg` zr&j8O+Luf?GR$vA5<70HXI;7?$uF~1f3tV>)_ES=mdSAc`MZ(qG>fsXFZhcJLg=Bw z`fdd%^4c>|Nu-=|B!P(b@*a1#(pNIa5IRZlIr0C63pTAv|MnvbJo*u#n+%4jhv-&p z0V;5ELqp&7yp@6F-gSEi)n=z`X7G}i>$L;PsWf%AM_W;!*}$PweA&U-R@JHaCd|y% zhpPaJpp#U(bdz68zC?Nn4@x2tEjE2*&Km1-8UceVj}NqKSQ0Op+`DjCIu{p=u()Cf zMNIzeQLgpbUl70LN!yhikw6Yex42oEtkh~)2-5F~JM0`j{W#sI30l8u^Wr>G4FAom z4oACbv}Andd8%idIR1pWCjA$Rr7+(H&sn)tc^o@)x~u+e!EyPe2-G2~q3Jz`-DY`8 zefCwaM@3hLhd<9*f5#S(juwodW+A}ARoB5Coq?xGNz!$+LBP)6;OR{Dr62i~C6Frq zP+K<)5bQpx8x&$!i=h{WPTH=uY^hH{1K$vexB)Bipo)(^R2RtToxN`&Y8a0s&HSSR zufR?@N`rFbPLnEv86y;A&S{-9?+@bpSX~2jm$DY_uevS>N!hMGfGNb9$`1EC5n`wt z>Sl#3hrc4=NA35lh&-d)0ehs_P$-G_Qb~sKjXT&%@iFL5UfoWLHL#*V6vFZshjW0Z zeN?cmd*R#U@xgg!=55W;hH~r_omHZdYDz1H2KwCp2@ST1l3W42j81MCjT=C@TyPg4zn?H1qU_7Dgx_9N^L1!!7vxy}p?i zLgnYnLR*@9fD69Ix+He)0_-7Wq2y9Jx@kYQ>U)B1zjAKJQKvid>WN}k^%3ZsW!X!g zv#P=3>l6kX&=GdP-*PLqr8C!NJ9%5XXsn2<#G4;&Y;4<vqoM&VsA zzCwBm7i3#WZG06ZSw^f1(FLD1_6Y2cjs?hU)w0EH0OS4q-}-d=XNZ{L6*zG~<3v%9 z5qiVsV9BEpi5#hWu)x&#%ru;hXmwDnzwzd2)4R=HkD2!zFrbaCv1thp!}!L#@bV z*-;AGHZ!l<5D83Zf<{=~v9Z#(Zw?NJ*RY$b`W zRrb1EL#M)TPow!YetBNvD_XFekm9uZ?xRDSEX$ZL1X9gcHfwqOp$$c9 zG5Ma%P|LB1b&ChE9*ruA1Vg~5)1O$2AqV>~=3ajuK-biBXkYT;?S+ZY$yZp9VFxM7 zCkAG{3;z4a)q%&U(_Rao#AVopNi< zotVH=5@1(>2xA@t3U})L`~uq$au!q*6W^coSTH(W@PkY>AjE+$Cq0GT*3;@;_Hm1VmZ#%ea1`WHz3XhGzLbcQE&1 zIawGj&l#!|>2}p%0k<_ulb} zJI^tkJ3UC!nkb0O_ndzXq4|-pzR5AT2D)JtihbGjP82kKyJQALkO{PNHt%bQu2R zzEoe8`@sztI?v#|!Q{}ShXf@q)grg`MXz}OS6@bdeHu+Xs~HZ*=o!mD-M-*2S|HT& zGqBPDFq1fNCk9Unr>@TTx9`7%w}6y@1<}|oZ+4`3{^fCm`_#0he_&+Hk^;usD9a#mM6A+-z zgQ~h2ugI_pV*j^>bJ5B(JFY#gl^`SQ%HQVYR;^^_H>~p?xfaZ*?Ze_+Ub?X%(Ffnb z7A6JP6Y@pGXEp9Wig?@vyKlDMu23x5=uk%4BPe%cG>8yLs~1V9x*umw{){7KkiBxz zQ}3;oOrgAKzp&S5ejShYiFpk3xKAZPdMU+;-YZp(x+I|uM5;GSDEheme(`W1=Cn|% z!SCIUBH8y>7R;<|a&bO-;d0ZekcA8kXh-9^_zTKR{S3npGfROQ zBS7$_P)JZNU!*b+Jtk_9iz6R#>(!7rAibfl8_oSVsd-9LH}}M4H3YHcTzpf5sGV&4 zo$E*bP*a=HHiZjSGOD&+6UCFeiB6eIGs>a+<)gtOGr1*{G~~@yK8@mF1sguxSu{qi z75z2&`O4QH4psOw=aj+YL(u;X`K3f<`M!@un0FbNW#L4^So^=8-UTHoRkjwSPk` z$^#^!LfGf>fX@ow9Yo(9!cYX=OzHXGo^|AoQGV*m_N2(O;F2BkS7Q07NygeaNjrN; zH6y1~)1el|mm8S5wD)_RL7v~4KbqXD3(wLgD>cO=5g|8xIB-@NIxX>@t2StrZ7%o$ zZA{`|jA*T3x3Fci#$h4pJDR8Lsa!^d!juKHX$6s{ODAMPpqHlqSwCZewAn@b%-H@#46C4V^3=4G27s%+r>#}<`bQe> z;joxE?IgoH!Dr3ocuHQ+o9-Zg)4pK_QCsUgnK_ShX(p$3E)wPLPIUv|b8zj1o|k7g znGhd*U{G5<$u+nt@|zNR;jpj#_>B~QnqO8_iNv!6&A|vjw0M0>0~l5{WINYc7BB~w zjDnl8^#e3ul5uZfsaR$IH>}@#zPVh^%Ak9J0{P0j@R&9_JLM!jZ>ZbmTX%i_I}y3g z}ly^*Zay3YSY0~E8K(g~F$LS%)ErUPk#VQAtb2AF?&neyl?I1v03qi7-6ytTLH z!a{`x1!3++hIvvw?VahZh``tjux4quCY)GggMV6aWlTmqYomFds%8B$AjZzHVldin zCRA()vQnGx$t*__EhJsgM+~~l9a<#GR&u^!py|+^gRvdE6A?!{02hfCW3-w40bX|e zlZDyfnHLF;*rNQQji+la|7F*)#y-*y_UeqJ{O-|PM*U$07X9lkPbokfA6_nRxk$F$ z@82-Eq`_oJe&$h}(xEIp{b*SmKkEY!s~D42vv+W>VbeyhQt$Fa2gig8UTJ;TE<^-6 z(T#_otkswxkxVBh)n7H&x&UryKiQh49!kRSSjz!zB)B2G9(&0RFW1qMH=}HHCM+Np zG>xClLW~n8>ziQv#0k8UOGyf}X_U|2D#S3yvj|0GGC^sEwo~?aOv2(o*r?&c#J+&^ zgi>zkJOs4r4SLs<1_>9BcP$4Q2*zKB1ZYOQK5WRI>7-#eu zinMv57M}tD!no!mIiFY+ld3f7#vN3Q3bBIn<APeAru;O$s7%9a-$ zs;pVdW4xoiKeLHd*_BsdbIs!M8_s6|i z4(*`F;&~7SSPu8BR(xx>egSZ^{|VDoV+L|$zRG0?==!YR)G|>3?X$TK#5_iHGC{JU zyF2Y}WC}C`3a=DHibY5&Yn(Ad>=qiORe?T!v35(>UZqxh3!XJeN3i{<*@yKS~da}3M-s7P=IZw-my^8G3l!< z78%_W2s3lDOoe5t2CmU?&~l+()mcCbk6mh`Vk!1oC*BWAa2Q^lD{8p<4^dCv%2DU@ z#^G%AScMA9y74K*K6gMdO* z!x;#-7qhgRLu~^4lcONip3s{U?I#gOX@kUh0=F0U&GDKMmC=FWsqxh1nCULd&e&id z3-W|iS0NE??1t-RMnqiawG+Sg;l%rn*MLhOwCcw)LDD=tY~fWM#7W)rog;dTfHL7c zJ>DlS(hi(d<@|*GJvDe5!4+ELo-L29Kd#gr!~aMnClA=`Dj*gCk3vJMia79>6Kks> z%|#ioV>uxV$tu&u`V?=vOa>?VtUs@x_x((o$(O2)jk)Sa=r(4B23r+nP)V<-G|ZKm zlBB+m2dFGh?``%~PfQI>&>1mzn?@M|;&)Gqi7z@CuZjpIxr$uvKZFJbg^X>XxUG^3 zdPY32&<+h?ExuUSkeK;EVtjoR|dH~;%Ay{B3_VF*rLQx@8!M6 zx*}M1&bY!?%g5R~RBucP_ZB<#N&UK_>2ilQ*3H$i%{o;^C-dcB>(9FlT!s`zOVd#yeabT6iWMm$|B@VIzMNgLkOkoPC`Heij z%}d!b5f0F%8%O#4Zu|~+qgF@pC7PqKeWf={2Ec!rX*suXAexgx9~giAH+=mpy!HC< z5taOnRaJOH8FnY!?YnjomG^IWp5x-@5(J2ZNW-gGKsrgBm8k=nWXE>E+0}^eFd`^~ zumuQLb87u5@k84>J{vUx;r@~6Qe)i$X6&R#LrL<&l>e7%k2N`!!47{-%dfxuJ@~?O z7Gj;%Z{>pOO8Tu{>iV1Fyw^l4NeZN~EkHPie)0UgTIip&UysBGXEweUXD)IGNzsiQjTBm4~_4PQo4#Z^_o~tE)F$D*Z`l7~O_$VRe38wBUs%d#&p?KUd~M2oz6u zDFTOT!&j!4W)XIKNo5O6P3-zT78P*rqb@Rt7jh+_O(Evp!^n)d@pTH`vT~UUA51_Z zRMnq-@Vq(VSf5B=y6?R;h}sx$x`aIJX{eBD@*;4Z)`W(#+Us)7D#m24Lq=Oo%3_$;KKM;wP%pgrtFiejP>o;Xly zy5JjFRoNy=NKmL7>$1Y2KeI?5hE_s(ReIPW?vvY5aXih=8z#m${|nYn3S^J*_H@k| z0*wydK-NGh`i5%*zJfQK4p5W2_AY=oY7?i4MAE+c|GDndan$Ct+3xCuK0@3DBF{qy#No2fOGYqU&*Z7ND#WHU` zzu^?x=n`8V#eCE}ianx|L8wR-At)UKJVamJ$-1IuwVbR(XvW5Jl?F8FNz_a zQ{GqBT9LP2EY`1tzdI}gYxHRb6A!VJqxTbNCez40so2v zS5L$Iq~aVpkIJ7Ar+tnl>e%H!VCby~rMV7Qw#ox)b~@SADP6pq=G3f|VyoRo1#(J} z09fcPuwex?v(gIw!RygFzT%_2m`_RsxBF)-RWX}Xg7x2M2JDvjAYDp%G;0%#>MvPN zQF>)val&H?eGSqL9vOr6ZT6}UgtaY4Wl%u>tGFS!ww)cB1RJank%3wekc6oZ|9n6% zQJXCWhB(Te3T4e`N6M{TwG7^^yQ|TU&Rbr{-7$x%49*mB1NRWip34q2w1Voy)*_gm z)8MHV|9~4_+grfN^j|$gbay|OljAKj)|)sdLsU;f!=1+ z*|n%jWO<%7v?E!Uzc}gLu5&i!BPnAbsm-Nr8%#J^h$ZdWOMCLSLloX9(+EQg zCx<0jyh0~!n}M}5Zu8;+`pEb=^rk)Zsj;WKd05DgFgx$OE>*bg%JkD038!+z0|CwI zqL;cr-o7k<%sdPdOtaw~cU%D*!yl={c-20V1`vT(jIyyQrb_Y{ZI6K{Z}9HKk|WK0 z&g!SiBJh}u&=+6ts(Yb@5mDHOw74ZCmcu#8(`uTS+JJi(9JnY6XV;f=Cbxn#>4%=T zbyF;1m%w*wH)+?!&jM*+IjCq|@`+d>@Xo3PIpm z4I&_Td%j3|M^_(jlruSJlye3C$3}QJ%e?0FAN|PbH~lyb{tz7wBdfo@atmRPp)=m~ zM2^|vYuM};p_@&_kB`7P>NM$ILfO+OWb2knQ}g8HZXlSGBt2THj5sN4oEi`kQNEvw zFEM*&IaNAR93ZZnJZ0{0J+xQ&?96!*aNdV3P+=CqqKP zQr;RFE{$|zSs;(;MN3ny#mU(@?OPfTo6TSuk7uHeR49o|)>5{4%C$Z z$kYqvSZDe&Gd)Y|AC;}{vP>O|-?qpf9jy9F%)FiDeV4T$dM;iU%i=GkhME|Y;~43c z&y9{xuOjTGgs4&N?_^@p%;oQn&SVje(H+j#%w2pP2i$U}M3iyHc`2>T^%Y))M*fs8 z)|}mNgozd6$}Z!Pj<^F2i5T|uiCF6NMTEw$fA>uwO%X& zj)-wwi5FSY8%P(-vHtfXc#_Zgwg(90eU65=ni;l(D}--&-3;0IMz=+11!kW3pRBHB zh*D?nuQkZwN5kOD1i?6=w7Rf8N+1uVd)E0o5XgZXi&a@nNunO$KeFG1W#BKr#!GvN zglv%tV2jyWZ#POHU0;-2C$SU`l6CWE8*9I%+R>#s0z20J;ZjDK;Ey-1L_Zl2BAT3V z+(PaF&so!Gs==K53q(E>#G$aQ%R%{3Fw!PvfHNa@XWjw6u=sf(i?e`dz^$Vh})&gp}r`(&C$Av_-LB}x&jLQ!Lh{T4sbN1m7twUwpj2yBTAFAIRl^fM~un< zaJ>*fe;$WqOrumW6!uUk z{PlXs4y9f67EO>VE&M)ZjpD6J}^jYPR9MGC}UfXi7! zvBtaZb(ZHtF#Qx-q7GH)!ggtOHK-fRDGpQdTL|>*xfIn(#wU$|&Y}7N&cC_~c!Dx- z*~n^u?V>8kZN%a7dxI zFp}Fv{59<|Kp$Kj`?=zXy6+W+kAZ5G!4Yo%Xuhxx%y1Pnbt0ri*f)s)LMSQDwmjoq z*Eev>ZVph41~9zm0Bqzh8u?dH8r;H+(&UmKf>Y38!BKA2A_(jzVa{c6*8+_rI;i2Q zsuIDkp+zW~V%?HL9b^o}5nd^F@_BaNu;<|am&t+&hNOX3^%va*wJ_e|bE49uGw7<+ zXZ$}udR&8U!;{Run8h9EGze?fdJJ2( zkV~{jqsu5!@zuHXil!=m=~9ILG}Olci90_{BZ`Xw6JsZI(|YY1aNqD@vnxS446bj- zdlDhSgrl+Ix_$CHIp5`<1`i05|DzrUDBxBRv2OwakkclEva!;Zucv%9_G&j#<{qRi zx}DV)m;2PEoRLSXNoM4h?dMGYDz!*sJm=+{lR14SvhXtBlU)I41lr zBqv~Y)kTR7_Pdg8pW$$3$b0?hSx_jBfF};BMpR$RA;Wx+sOe@jYV_ zk>@PNPqOC;9C1w8?=IpQ?>8QWZwU9O?#aq8t3(i`X&o<%Yuvu04=$BPyBupy)cP4A z<_sUwKIDZGpanA+q~CK^ii`_^3>=B&sAQ#17fplPO}^i3_l)5yqBmJL0!4LAmTtLM zjqJThnXhz?HUA)>sMpG~CA(5cyU!fn`tYagkq3A> zZ=$`QSAHriIXSXf43`Ylmf!clQ0T^bo;&KRu=R0+H+eM?p2kaTEjI$o40mc7Hd9iz zfRvvgf~Yk~aj(4dX?|lqu;*yIG7GwQZS+>dv6d_`vzNMph1zxmh=z=dz;#bGa*j#M z#uaCpU@o&0-_OsZipS?>azUUmzYXy?bwXa^6213j}{OU{nr$TsK~o zSt0HvMIaG)$~&4v6c@JAp=kxT##qVnnt;(yor-x!2^bMsrQt8H9eTpb9PU8A!@c%_ zU)>Lt6>0>{yK_h%<@B`1yj{Wqn*%`EH+G!(?!=7o0~{Tl1jVR482i|5mtPi6>tY6O zJW3sv45~Y`wvYfjM%*Wifyi<2_dYRzY3>}jp;HY1XCw1X+-kd2d9DWF|0Ul&n5ZN+ z8WU+>#R3T!>8Tx@nIS*P$;GIG=5_mTuseS&BCXi8;3x;dzgF6+UVoMSG61>oPaGhHA_kusQL7WFN_Sfemn2Xd(DhZN?5-lvo zoRcwX!vV^jEP}*2yj+h9>7M%%JZ7g8r*7msa%b94FD4OMIj0!()# zs5;>c8QW1~42k1aV@bH852O(~g0w%UXkM2+p>-#x6`0_q0&PuqhMl10k&r|mJ&~C% zTgs_Co*i#?QY=QjED$il8mjh{28n0^gb0wWf;%=@Sn?)Xj!2g6AGWbmH~l0;CDXn2 zeh}qn^zp4Hwj0nTYWt9d=K0C)7M-gE@d)6#^@F4FL&?3*d_}o-4^piaw#8y=QhO|e z6CYMHbYfxE4Gl`9Kf`oA2gE-FXgw7h0>oYi8M$rp{G7z}(tx#a*bk?hqX^e;enc{{>_*&CyFw_7AgeG5PM}*;<_SbkMi-ZJGJht8I_X>d4pCL)(@LOv z=UtbHezEOdPk&4de9rN}a}(E>zi7}WhwuvP{wyWA_maGJvCViEtQhd_Ey~l&alfYZ z*DANGHw#8@&BJxh2LP#XJ_Mn9chA){CQe!@!N;z5nw8}@`A_4iln!%z%AknS{Oolh zCJcV75~*Au`@7278I9pwKCZ&o>wUg#-~3vSj!6R&(9g#=(G?)Rd`oXQw4}-wlZ0Fk z_NWQcdqf?Y?OY9L6VRe4(?;P02Ot%mh6ppRP}`TUYh_7uI7$nDwM@wiRySt9&=Ha?1KqDB@tWxkbyQ*8L$%5Q5!_j5_hzu z3Y2+smfaIR?_XV%WV{DKyccifXPfZz-o4MI6_7D=ql0kKy=V`Kfn?iPw#O)65chiliwQ%`r&+keg30-|q}VAUm3q_vd? z76?8Z!5PBsuZGxQ^OvT5PXD)lE(qT4!LVih$^1j~o(?%V0uUZaRxbJbCX%c>_>)%te2$t+&MPMZgj=&smF369-RlY2S24o?<6j$uZ*N!qiQe*37QT zZRto4HMT`Kk@ukfLk<}^Bv(S+fRoK56&bGOB?PLsIf?umaapn96`;VgHO6DE@9A=@ zR1Kp&ri)BOO8t6wo$Rn5QEG$7x+Qt4#$~TqB58zUw%FY#M}JWr0f1e&jm>7ujqk>R z+q@@CTpu^eQh2i1#W!-mc{W-}P9*idhhM##7YWU}#Bz@Mu)=ScX>N*5Kvf-MbcYgs z=X(FJT52Mqz50y{jw1-Kc=4>Pyn&*C5mun&I=#;Da!9U9$g)^#`2T$$)+gGfQv;LD zVL|yA!fT!$Hu@32X?E!o=?>Cy7x3;t_a8`3h&#KgN^Z=rK_oCaP=u-(@+NJ|^zwW~ zUgI#VAlMPP>6c7?1k`SV^eLb~^ZKJHuzOWN&N5`NuotPFU4h4`NHkYAR;$dD8tu0O__quZA=WLzy`?3w3JOu1p z`6it8!-EaB(!ILQjd1Ul_Di}&CQAE$nUu=?uZ&{@&(YQrvr zCH*Lw;pRho4HI@<7UIU4k4vk2z)DaG2zA!?$x_3km#C4lXQu%gqA-;Jatx$NX{ik~ zM2kDekwoS70y|ef$Ej$u z>S}Ar#mSTDDT|ImnZb4od`)7|xltcJRkc`<0q-O#LzfjK;rx6qoq5cIpR@#ZiQz$P zxg(pomLQvjZ$Z7tGwxl>SBTqwrxmUm)aeVBa4q%FkMpm(YK}Cej{q*0L1^6$}4tg zZmq@yLMF)BnhX4w6_j^Xu_`KWD`2>VJPtK-_ti+Rs{;PJ?O@JIft(MUU~L~^F;U-T z=7o|_J^<*Tb}Aq8)5yCfn;-OGNQsXT{E_b#XQ`?rJl zBcZ<-17k>`p^%DC3lBFLGbeL=zn8wQ=rl{~P9h)IPsbhmg*(byMLLq5KWZNatc1WE zCC*K_b#6W1hs$TWL-6u_^Y@YPkt!fq@CsAgddrw0LTyuCLu_d?CC40sNVE10PA$-W z7%pWN2TNoAGp^FD_gHJ8lEj_x?m_F*Sfb4u=*;cVXvWOdebig}x+y+3=>S>M2LhwR z=WfhAb8X^3AZx?i3P~WDZeNtubWk>?Dy1HKvaZ)-LfEZQKrDXFdyBc%5}m9?JkHvM zz~-G@O(d_DaS_Vz*yIelUz6IWj}Mre+`qlxX=A6SL%=VFx+Fa8FK<19ke_|WSRcAe z_j)8|)4^Bt(v7kuu02{`9?O8n_+rH-sDL%90t4Dj*y9?X@6_wq?m}u#(zid-*p{G= zc0L2`jfi5%kRBYd102B)5gRyzr~lm}MR@ZxDn8(?-?d&0R{jR`e%18KDMQWvu~`yw zXnAP+j@M^^gX7UXAGsXeg=hwpp;wP$W?l z3YsF9xPIMixUI%JPQl5&qw9Z#Wka2$t(k;ZKY<0_KyJD69Fl-`C?$T3{G5x>&vxCQre_cHAijp z%ZW&Ga*z;u_KK3SE+$H<2J@k#J?%8Qm&Z$rC$>Fi;p7O`i+ht?m*L?oqn0KGHh<3p zxr_Lwy|t-`xw*p_WQueWi<;S33PnTo*nGapxeIGCa<{Xq08iM~iDLrEsF-L_5Q990 zW{Ei0SmD*2yiR2()pc1}ESWYF}AMK>0sn8r#mfX5Pi=K~gt}&+9 z-%=hj(}GpL5VZ{MA<;uo1O%Tw%KfXZ{g5(urMw1n7m}sW=hY%#)1U`uSXvFv&5>|n z`9wP^M1GcId&{W;Z+Gn&Nk$w-2pyQGS^V2@PLuP-x_r@H{B}O*R(v{eSfcgcGIB5%+&LApgZJR z=wDl^-i7jgjdG#2ohv(3XYdW1CiS;KK5FBCv=kX2$KJB#j zD;88@Un)(9EZ`y+Du;$&X8MQH?CzTqKZ>HXU2iMa2@&}VnL|%s>twgu7QLgz1#Ujh z`bq!}+PA3nBSG-{fKGtttV^B0o(s1M1hYpdT7C*}J#k-D@J%-V`C*(OzPYVV$cMA= zaTtDibT5e-*G+}rTp4tGNLrncK~6yng9n~$mXrMqQF!&j9Xmpc^W(h4ztI<|A+u&H zu#86UCtLDD`eP~RQ*|(nS}y%N?ROe{cfno^zPB$rIIS4);o$xZmK(mfadubDwaWRo zeQG1=T5iy@lPP@Bn}v)2wPaJ_qc_NlNs`XVdL~u5FJNJKzAVHd0-ZZ%F2p1|#VFhq zq5#SnI$su2hMABbYq=uHmJ|ODH>*2?8>EeR5|N^t=?=Zkt4Fxo60Wlkz?O59s#z`N z@>i2=0Rj+@8%tx~KFt}7fKgeHsfM=TSEUICkePd32lY^?00-y2D$|=6Q3j8qJYRc1 zFG*u0vD*xgy_)ia9V&1CW-;vVMhzi;IC_#k+zfl08|1Bx_IMQQM~(_};*DsN$BMgH z4eE8k2A12dZN*y4SY3dY6mYs9ASjmTW`{7%BbIZhBEby4#VzYZ_-T6{kq*-f2;B0u z@!y&u_ys`G_x;dfe@;S-AE&m z;W`$)z^nbycy<$MT(BU^U0+0SpF#sDNJ#r(4$!Q4UriQphS<4`NxTmYdkI4Vl&hD}ITIIs8`%FwxauEf)-QCh z7x?+;AO!2Z)diD5q){(&S~9VznhWUnqUOI@^v{NDYNkBo56#L#VmIzc})Qr{5E z8)A4|l#+4j0@~hpavw9k)C-w+I}?1edUC~(f`>84t8(-xyr7~yzTJLt5gf){ zH-iU;_8D`|sx8~6m|@-V)ML2p?;>bdb#_&U+1gGQpCcx53=$ME_j>A6u3(flDfiF* zy0WdXpDte8vx*c#+h@T3qq5ay3jQv0W7O};FbgoHkDEl@M|@bA7Y0|~P7mVoL%{Bq zAS~^sKYZZkX+wR(Z#I65sHSvv8BB{|w8?h-!v$1ye=R-^nMXO$b6l-`sb#{b)KWA& zRN}G%w8_AH;)Gj9?LUvTqznSRO<7RUQd@oXollPmtL8BL{tHdb0+8C5ii!X#mS@7A zL@d9UK0=2vRPdo1ZQs|p&7?NYQ5_83N5)JF0f52fE1qgdy&?N5HCN42$J5(4qnNbA2*$!IX<)w za~XF_9_D6X;?Xr$eCaszwih!?%XiF9zen)|2Npgwx=olusLn89}gumJMQ z_S1?QV84^SvbzcBQ#51Ml^s?sQ5adyPA|BAV9Mlt8<>0W&efGg3jb*ldom%gyMVBz zRT>Sa;8q0ki_ufD%r=3I@ZSltS^z8#AHIf!47j09ck@z*i6*nd58OY^!6$F&03A70 zm8DQ{d%$PY!RWCC^mteZq;_DDWR?}LbdDit?XR&geEcQ8EIhT_s=kj5%lKD5!B=mJ zUY5ZCjSY%3{sMVxbXLVZwvm0~_YqUZu#7dkPrO%XJTr0JjLt6?fA>bD%JVqs3@6G` zA@cax>v{$6;@`I5d`nWRqjb+I1zGE}E#w#KLe;4WLnYhbGK8i;W82muCW_3JR&h1H z4;D{A_~8p#*5Y_*QjB#dD+9?B_{kK}p*g%VNKZ^|7Uo2UuRzT%M81`dJvJ#78;$cQ zZ`IT=#cU;=C>bAr1{IikZj9~cn8aYS^dQcsx}TB}D^AEVu9>_P-X4XP!b#(eo26~L zfCN-dx7k#xOCh;oaN}$nm=nLLc$HEw8Q|CN6Wt3XKQ-Kjpqw;khROE|2rGZf!6at$ zGezi$mUdt26PX&efKqg>(}Vz_mUIWbJGyju-08}Mi1$V^$(jCX$W5&FC3WHQ0RC~4 zbH4+;-H-11>v-76`lbc+?mk*g%2iSDn)_&i?)-~Q0$?2V(;Ut}D)Ocv3N*Sss>EDd z(&LU^I-Hb^sKx2Bc#HW7v3FbwOA+!N&={=iCGHL%x|GKi;%()lO_Mme+hsW*~|a2QAc^anFi zZuHeHNz2=+$F|+i~wtKD;YVsJkE5Fl8y`#F-yV>}#WK~V(BNV;}PByhn`^4QQhnBIrr0b=jg_Kxc=#yOHS2(sUe{ZMfhI+)T5J+7o zW{J6P{Q1R~xyeVzb_2INQ7WCLK(NVJ1A!-DR2<@xR-iW-d#P!LL6@nz2 zQ>2lOy#}V*wPcG8mUak*MK9S;aC#QsyIz%Mr_DFXM%=;*M7%-_ckKTN{5$OI#>;w0 zT3cedftXAO>gu}X(R5eTCVRLr;BV}TY;7UD0JCE6Iyr+;Ys9Xtr(+4?Jl6*C~W1hdiNgW4zO+b=DY)SE)U!$ikka@$9jKYN9n)##nC;j4+z!8YL%4@yDN1SlOBP8xnB(fdI0ums6KARzEtFyLUBwr+@W|SJ#!>@o2Sztn}0bclknn zbIk;>VMJGDN~fTKhkIo5nS-D%-O3w8Pqm7;(5MVHYMR9g#%X!dA3sE{O|Qw4A>Kzx z8?WPf3QBd5BCYzrgUz)xvo@3L(cLXSR=F*YwC=nYsNt2h{#BLq1a9r3V>5h-Ln;yg z$JZtQ|3{j{eoarWjx2fTZxC5b{($`OvtBZUH)>sE@>?ROckGmf7*Ds0kcrff$(^|X z1B%&vxgYvglBcRmir($NdQ=3Fp!=M*+!p%ZPeZaH-7;|h3ZpOsGv^N=xlu(!_QTC-QR)yw<3t z^0nRfpsPp0nr@;4$)S_igs8xBqOcshdtcKx9)ee@ty)(s9-uzDB)$7rZls!BF?Ut~ zM#Cmzuy3Ne~@E7JlEGRNHa4fC-U#(rD&V zS%Wq$h)PRjrYIvsHlYwyl|Hi-#d8KZx`(`?%(gF+u}LW;W8z1bvB(30Vd;#@dwIfu z1m)V&z`;)?v&)N>-aqie#);h5;^y5K!a8)V7Fd3rBgzsX$nLt1|Lng5y)3IlWIrRM zkhnEviVaVyFMc_S^j5ddD`I`v_jEMg-D6Q3bT10Ge8 z+_w?#CYXuZPD{Hs)4{??LbcLsGU+^fEZDZ`ReTKftF7f^K1Fr_%)zmWihGe+#=h$6 zGoZGzqB%{iiUSO=D|sZ!E~u{tsVS0Z2`JtkhN~?i;>Q(8Lwn_1Jc?F(;ewP^8Mb%n zwO2h)UQAG$XzCWLsMr)3Xb=9>XeE~=&qG(1# z0@Cd*2cq_I-rO3lJbBm$lKt?dthX1BkX%}W{WG>%PNZGRSvKYlwj%0GnVR5Vu{F{; zZMf}2n}@;;^x9)4hnA=D!33Lm=0duS2YaLu_zo@B28! zH!fW~6>IWc-}`DYnXpj~st)ONbqM%-{spCBuHr9RzUhlSxR}3@n9M7ZbyMsPDnM?b zOr|UY<2+UGm@GeFS>6Gyx08Kp4P`)?`ge+M;JqjqfQhW{PaUfTip_FYgQSV2+tOwN zGMZ(1v;s$ws7x<0Tcc31_)VyjJ)stz`BGCUh^Zeir9a&w>Kv2B@spOhz7GlP6=QpT zN3x=bc^?YTn&dz0gkxYb!ZXH{W5)6##Rbe4BBIbLZ{PGN0oJXljRatTu^T2cv`z7O zT#h%>DGYRROF8eT$wZ!hsF@_!4ALJd!RmFq+WeYBuCz*QpTl+qqml#y9vZ~QM|Uz1 zWyvA+;&XeMST5Wu0*tzcl?T5QxjOUkqQ&h@;dNZtGB3C2_l1qqJXeNO9-2i2WS`TF zLB6Zo3P9vM<^5oPttz0?1dnc|l1a-EP|&_HSO{ai21SS+e@w3{$DI)JtAqq<BrpBYgrw;#>FfsQY} z4&<{OBQIcX*64_jmZ#!gPV_hL3i2L;#_U-t`yjfCkeyi~$m6IVMCH$kA##&7aPXI5SLBJC;^&*b8uH<(3+_kzG>rrP>#Kb#OiaN<@!DRr$m>#cM;7e zI!{dwe4@=n?~+*1%N|{(Yob4KRT=V{-m%S=R{9$<*7o93tBeilcSnU!3F?jtT{&n!5@2%`L392xatQ<*bt2p=P zIb6{08g4ET=&}Wd0~QE-6~2u=PW@?vk>|{n4~`UfK*x`0LY<>GN5Uy|uPg=mhi8idR+q|cT`gxkUsXQ2V4d9aBO3u>u}6-1GjL*4By8ehplL9`Hd z9o3yT*%r3%(F5W?wz@xpodH-ysY;4F{jQmvLsXL7|5YFV;k`yVoY@Rb(QKNk0S(nvg)~R(aOZoMCI)faXQ|DfCQ31{NUb&k@+N)6 zTSio!L=_J9iB?H(963go0@Tt1IR32I;+0H{MsqylHbvOr;`uC=iv*JKee50NfoK4g zBN1^#*PT@}XNFO*+tv+-HDV)1D?;xMjK(Tu?If++7~N|Z3>wF12=$WyY++#h9$B5C zA_GHWCs+wBr{Z+bwps(_moD{|IhkU8vcZft`3nj2tl7Kh?eA~ohl6g>#1Na&eNz`+{PJ1VIkh*<`ISd*RO+`Iv5U$`i)CdY8LxkRM!DV?t&YD)4RJ=rmlTtfu{5MZ?;NksIsNDv8#&2^b zoNR$7YMd;bT!WvypMR`>_f2|zsjGyD%M`|df4xvI$X0V92Vl})PwRFLx>+dC&| zz}O)V3JDC>5{qhqTFv)uiJmR6sow0z0A5$j5S)n}F@e~Q%1Dy`zYnPNKY+7(VwTH^ z*}dVZsJiUBkxl}IfL1UI?4pYDkOU2C`<&_P1qT<;MFoDc!)nCdlT0K0x{-&?O8(ox z&n@Mjvrr|7%{)oOAf2T4`ugpCd$F{*%o_vYNC6%gM9nT!v5q86SGq za5CIj>+Oj45H`9N)uJT# zo{OJ81$WITlSg8KBk>)&0>mgo=f7W5G19a;j5>*{wBbFHp0{PEjy2aCV*k|^O}$Nx zO`!(o)6D?`wbPV6(opv)4{}dt^5z@tbtfw0|0h;H5fVU-tT*egUraa4fKqd&dMrtq z+f5_eJm_H!09SM=Nwd8%)YSY@d1x#Dq7(~Huo(mVNGGXijpj;d%lk6bTC~w7nC$iV z)(#sg3V*VPkw_@Bc|hMxZyR)YTmbI5S^5V^lLHQ6yrHEkiwVKGm9D3%r$++umMiKQj1TyFu1R{};u8#`n5iQ|g|-KFe*ELNN>MW*D@ zPozdiA{iylw&rsm6QgW-pfInBsO@S4jPK|7z$W>D3WZ`k1EM}gZ24)^qTCUs)0gmq z(iZMoRel@fC1Zcb~c zCU|BpbSjz@!T_KpzbC3Hoa@7mE4G6V6DeDD$*ZcMxt9#`@`I{5@!}Ut?@9>T*nz^E z5n{eFk^1tQClMIo&U&^5#4TyAgc;XQn|%h>FFmukE(>criSkJN*9SNY1VtQRDLB$M zIhX{mkDGMuajy$qyxe!oTzvIZhaK8~R_bF_pj zq*y$1Q(T1imDMF%TEZYgM{#DJp$T_%PlnXj1kw{Hp~!-R+uR~xywSHtrd zO1o3Q<^@N#*I9Oj5{F$&I~Jo%VBoeeeNk{>H{ly+^c^|J8 zJ`9PY_w7Wb9*Ef_BK_)(cN;F=sf>FtSnIY0%~Dcf4I=>pf{gPQ4n$&Ez4pF!@C}s) zN{Z=}=3yVH8YD3Yhl1!pe$N`p6=L-mFP72&qJlY!I04ozk>o8i81|8q=A3>eL*8P^ zQrTj2Vzylz1|YMPq@=_X7-tNa)XA(Ih?o2;sGt6MFPP()xvfCMynDYOvdX1+0yUQG z=&X<2)LP;!pO9I{FO0n&_;JYKI}GDi$wbISnJ2-~=pEReaV7l?$5*(yBANq>3SzCw zL=&B0`SmNaT^pnDBXrt9eQLBxsnY93YD{qfs7SvnsdTm6k!owN{Vq|V7L5~vkFT(2 zR}AV_5LSBJxvPKximjR2R50S~WvhW=nd?EAgu8kuqA`Xq=`-TUq>|jcGkC!NB7n1I zrWPfDg6sldU(J>UlbQ)D7_Z@hu$?NiyvTdx9Zf}R(;!v=o8CBxtGv_}$Me!99K}BB z3+cVc93%lyPVyYx`|;iC??heYc69^Klr&eF_6@~M844mk5RAeWsZnJ&sIg-|DyqhW z&De`_%Jw`9tOyvZNh&o-HuNMga?A(S$@~Q$$7v|hnuNmoEYmbrBTD3lEld(&suf7s z+Idn0x*+sZl__zuJvL!7ZtJb8g&l)d5jh^ADhkADhezF^QmA?Og@7PEN%=e9HfeW< zxi4Y&(z0p>@h|3`1r&8SG}YhPyS}viE!Tp7QC`W!V;rosfcds7C>wkqkPDm`84bgl zF&Ka$*@SIMB})5wjW>TmokhnK&hO!2+bf}mPJ^maviKXyPA@H@acD4E^F-IluZ7*K z?YHFCxM!*n8=9|N^v@-dC&0De-Q_#&%w71`OS4$c0 zZU^L>f$Ey4jiIq1AF;`^H!S*vTX%Q4cz4cLZ+A4sbdY`RlXMxAe}_T?2}+3+9Wc{# zweu>HHiBJuiS&86?Rp88wV?q3?_IlN&sX`VBbFhHFG1! zTVWyKssdwCn6Ft*PJ3kfKC6aCV_3bB-U(Qlo-rl?;yUJoJ;ffN+wKvaj|(ekNyWDa zOE~8^<+}y9kOYC^Lp<|?KXKr3W+J>d#3aA0F^c`Hf8_?a)AFH$5g8QyqXf0U${w=- zmtUH1)SG$E*ymITmFLidaDrY|PS7;y!7^~A)w<$&5uCz7R$lyv0`tTl# z!Pz$5%f{4RO-L(lHeukXTD)RBSSFEaKlbWF%T7Ns)BmoEj7C1)?o}_t-N2LOoQb*w zRyxG@hFQg5>E-f#N zI#+UQ=pmJ?{m`&@7?U*x4cRuA)9(RF03t*6qUp3;y#1~ITL#Sw5%m$3=R9EeNKs?( zE{_Wrg&Xj|EPm;~o^}rp2Gaah9XauBe&oWHImv;9Z^99N_uX0)_45IS$iNQ8>y$LI zi$9S*tr#}=kZ#D+Fd|Wpj5Qofq5G3>#f?a0+p7Fr5R!T`3xf+q$hksC18usG;uum` z$TPrc8LZ9|-=V>%Fs&$r+$_>Q^@SK+=I$>jKD>Fs)VkP@YW7}X4p1NN3SU8juEJ5! zS#h*L80L5MlY|;*iF(z7zlWTOL1fNO7(5Lx_rv8v(uf5N(E^?}CG08rD7ir8!P)9* zZw`}I;&D7?XJD}8IVJ_djqI{}tT9Ew1^c8r-=Pg0EfP5EHoz0^VUv5cMmj#2n_Dgt zV~GAAd<*G-vAQi9dI`!k<2RxlcKv8;DObc9?~CuY=H__(v;iic!3}gRqH48X`KF%S z00ehg$C+I{56sXWK!@x*uQ!6S1^KcIUAU`DOHc>AnZtM_X~_S$2naSDuWC^Dqz9hMu_EUwTtvC?WSU=FvIY z{1npvpPkwZo&CPj_=^!oO86_OOK>r?p2qRTOFRC2<+p2Gc9-Bj+Q3XFCVaeQ77;eM z!H=+*M~xCizG(X4B)GPdM?eUK>;bbjvT~uOA@z>hUB)7$EPV&N0ZUi+^Cuk`#w3<; z;bz=sc+hO};LoW}ac88w>Wpdu{kqXGF0*lXvck}75ardYWepI^i5dGFm> z-+yaSMrVdmI-M>e%vt^?URfo==WuhL3QRpnEr6MCcQu2oqn?C#HMWxYIx(2I6yx>c z%}WIbv$yBH-;Z75=?fdA1znaks7z3$KrULP8!R%-06^v9s%L!cc@2?oZi|8)5><=(#nNGPD_dnwW{>QLdS}0); z6#~&=_3}0CyA*c8OXdFo_fa;stGHX-GQv{h^BiBm#PY~D(W~uhR`tbg)?9?B5k98E z$i-9q$+a~UYOTKVqgX({4VL~t!Q^dyp&aeV*V9$_OW*FOF5Ri-=nJk zzvm;q3?CTmLEU&;;67*0ukErB4~6HPWZk&?;!?{zIcvhlh*#wjRYujH2pe=XSf1AS zLo}b;v;)vpGoCHAjiip+ENStM!Zz{UUUS&uRw^2riKBqYMh&^br`C_yZgCZ$zEr_l zgMI!edsS@)v&&bCv9K#;Yy+`$zEGr}=C5ojZB~cc>2@aD$u+wu3*^qHEYlt-(b_a; zs;2%$Nh2=9Z5i}7{dl;$E!9w4TaYcaBtH#o%WhqDYX4U;y}0UG>KuR5`8n4*_X^LC z%nEI+{BK4Gfu6vseL7~D@OBh}DOO|GE;kZP1Xw=X!wE{pACeaj)igM^ zrxw_{K;g7%8M|}T29spLLXkq`5i1flTSynoiNMAkH~E3u9^!Um5ccCnJ9GaOTw8jW zd`t{V9Q3arBkntvYN z&c_X+_u*-~nJiW*(y=G=yi$^MvK_B7p)kM&gCWz6b2S%A7p*}P{lwtyJrAZ8Nhlj2 z+V)3#1_Z0x=skblGgA2f&RRo211Ur{?O7IUIe#! z(Va1LgX!72+$ze(Vq$sOSjwqgX(!wO y-R@JiXJ@8CcPTR%^4#qJA*;TP-WrPC#X}~_($6+*v z1I^d;)VSp7TqweGeLi;IC^mORmR||g&|NIg`$WbX%~C;Z!ot;i!kdNPX5Xz^y4M`OD$`=`F3!6ChLz+li~p~O;{?E@RYGWyGb2iOIz}@;*kF?Z)Tb*hM^pb_ zZ}v-e6Y|C!iOEmQnJoEBEwYvn-(F|v&uCq*%n+z39y`Z#$(|?CF(2cn5P02Zv`iA3 zKRKabBGZ2H)@XbOJ8Pj;6zq75;>U;y;F?$PgAO|BwJ}+mJws68jvbNEFy532hJGDs zeA|>ncwQ{3DAYWpv|Q%Lxoj`7lA*3+myB2YsVNA;>x-t;DMNnuTAo*~*i<9iv+H2EUz#FB3f$S?g>h}GyK)&-pFHW0C;O108n-&kX}vgA?&VbIlraoSWr#Y#0g{foxAa(g<5otViSosX>k?}8b1TjZJw&I;8 z5;xh_LBD^lC>!_KJR&yDwY7`GUm|Kob;ly{qP+_^CbIBzblSx+Dov)=Ls}*Q=`(}G=BTB=CvU(xD4gn#OZqm5;d(R^00>QzS^!Z4 z)fU)GMJimZAQ2H`v`^K`oaLLfBWl^@0Iz)DO*s0iiwL3Ui-j_qm@zzJ@bFlk95sr?nf z8P;Cbh$(d#JL2Kygn@dyD1q>1M>Ia8q>-oQv=gNT<3G`xtHO2Az8r3@qprC4bE$!4nr*KS{oTrjU{WZ_BfOTigHT1cOLGnA#3<;68{cUeOwoX|At$rWu2_7)89O}G5(rM9|d%-bN^`)FUpOc^ex|~zN zR>Y*{RqK)AxAwV9qCX+1uD=;e&AXe;!n&V6v|Q#yk|TDFJRP_or717@4jFd9DaI8=N^$)6DOcruHr2O<%0AcDNb zxK{rho_EZ=xTRB~E^1s^MSGR))!Ukve@$mXcJcDZkD5k@NDh%_%UGxP*;+x;GEt4! z(5TUWFbFJ1F}_o!{iN;T*DXb`gtn)&85i129z6B}FhEo5<~<+-&uS(G;ySS|>E+b- zd3yEz!}WO!vpK{eQ84*aq^|GoE1)2gm7R?{dVVUSzGL$!5M)d&G6D2Hr+D^s7VyPx)u!Om6gwFh?wNQP+%W#g zSLoZ~w9s(hV?1w>a*9qq7(1XHftn?%!gj`DwM$@$C8*V?HOFe_k|(Qb>wnEav?r9h#KO%0jf>b*m9 zw}!D7r5|-bz^dktO3Py)))dlXc@%&WKACqt+%-)CeN67J(eZy_TEmd`Y_o%s%F1U? z6U%H?)apvr98WW2NvwXJCPSMZp{uYN!vqwGh}fxB)2O3z#5476P#4zrW7$4%BynZY zmenL0Er2b=OU`6-pku*5XP4!2__j}Fj~`F9L#_y&t(b3{w+XM6lIA~aJv&g2sJ5pn z{udC3k&>c+Iq;AFBr40dTyL3aQ+zW7sPB~01Z6++qK3Vqi`cvnIAMaJlFQp<&H_~h zd`vFqN{1cKb4L{nyv6JUJ50BtK{52y7S=ncKWDc-alcG$dCpS*VW%Bi>71=!b@z)JQ$&9)>~=^N z{WttWI(}#GdBHfALR2F3xx9Lg9q9Z9?QFozo;U;1`S?n{|R#mNyN?U{bf(5%v-n8VN zDTy5*UgVVXksJ1_nPZt!xDc7<^?=+}MwHLf#{n@X(0r%AEI?83shE!IK4Jk_Y~Ux- zAx1mxRA2M~Ns|V6Od3^B)$R0Xf;LHPuj2=p!i4jvPV|97MU2X!oC0-4mw7R{T{CT{ z(u%0+$*KV84xp+mxYp!m$vZ3!Y?8yH*(g%vV`}OJk{D~LT_AV-VjOr@a9OA>M&#-M zwCIU6y+7^(N&eFpCmuyF?(RdVd+%Mwcqrk9|nqGf&6I=ThiB>~l0 zaqj$evPSKFA$$BR7X5%W4#JA^Ky2zyfEOcqWeM6xIP*YZf3P6>(RHi6N9-d#dQ%bA z7R&|El4}M~MX?#2S8d|y1M$zz*hc*rj`DoiiE5Nu0Ety!L})&}m)#~|Xk>4wS+Mg8 zPvnON*m!{=%)yzgB!J-*d-1R4d$e_Jm>0%3=d(PGx~pfkjEhC08i>8aybQ?Ham0{2 z)l(+2;w4}~Cbe{#W;I@<#yyyyBzb^h01(%zM$#1LGX}4Hg%>{|dlsPJ3`NrA_73%r zXblx-Amh-enY`6I0&6k>gp8URYl2>Gx21DTU0dX2;{z&I;dLk=#F42LaYPRC!SXbi z`Fwtyj02I@a~62ko+%WqB?f-@p@uctLb|sLIqXDmmn2ZOjTNdX8=t=62j;P3bz+k9t(>Kgh=eWU|p>Tn|=SD&cWrXapvIvb4%%w z5vgyj45;}E1*w-RzaSvwHO`g1{`*`uE{((EA;fx8xEpN@lyE6XGo4wCQR$O`#gi1v zD{6y%Q$<##OT!Sj4NmVMD^EZ24s|&^rhrw@nT~H2T5jr>b92igo#VEVCkl^f)(yT| z@RNs&qz4Gw=OUG?-xQu@Z`x=&hZeOkUd8 zo+r}i7oyUCs|SJf+5OeR*LPLB0`lJQYy-4gBjlf1CuSoH8AG*H`#c51iQ?*Ban%5= zw{0&$uaJlqd4!X^X?7dItkb1kb`m@RAybk=P3LYrENX@|qcP*;LK3m@FRam))uA^q zuZSHfGDFEsbVQF`co(jE^`n3?U@wnPN9T#0zIK$D0aCcV#{n z&OULmZSb+hEw{UDcJ}h)@=gpicg?6!o0Mj#YJ!$5?`u{&0eYAyIA1!VKggaPOeevc z`q)68C6dz6BYY)uCEd;_oidj$JOP%uyDPV=BN)i5+)HlK4R#Dz@vXB+Bdewo=Lgg| zx*L2j=7%S2`FFcYw#`!5A$`F&p{bnByNx<8lb$yJgT;2qv5E({Z{9x?X;|F8x~x|G zMIMc%Xsyfc#1iszykNrqnEQ=aB8(GzDW+4bt-juWDPSSm1WPxcEjMbim!(gc{=-V* zcZaX>cLt1Fyq_BLb+J4MRVh|0H=w}PqO$YlW+7PbFx*e=NQ@Vsg zkR46cy70hN9(mnmTOFOgV>UES3oS~8pl~$IkZv7sEH-y^mgy4u=Cqs6yV!_}5Plb# zroNQhZ|c?oC|@@ez16$w?apLG9{BG+2#AiQE-ru$_gj$Bs#)rWLYkG@*o*m?eoh`- zQ_pmi%OFxZC>2S);ri1-zBW%-*$u1pe@i<6Op#!|uhCgZZvnCngp42BI!3AGr< zH^jRYFOwk`9Pq?Sh6HE(p;vl?lK5J8RE8Bk72JY5?!ZT-vEb{1!j$ z!LD-GXOM*`COzX=2H&gHvxk863kguZhT(;kQ7~332qP%hMCNnOXD_q>goy2^D!3?1 zJ56*?Aif%5>lqW~IhkcIkXPF{z>O%UEYiaFHuO!7V)-sSzC;e``ADHWQ!)N5Hsct8 zXg7S!KkO!%Gq;q#8u-q+Jb&l7CO_TEsI?DuiO+G@U@%dM<0Tt3KrLuj4F-za3P6U0 z#rW!nnwH$5S}4Z1F)-C1EJdgw3+M*kV~6+GBvzhbZ;NH^dN2`20J6zpWk)$Lazc2_{4%{*7tp~~;TYY4}b2?^__wd3ghNU$Z%6Em%}Cc03n z$hx(kMsfGKCkc_` ze*m|yhn(kF9F;~2Yl@ad%GKvA5o9ZD6p!tc=&zoDW5_Fv+ZPO-G266O*Ee){bQP54? znh3}q&r;elyNStbtj-%uQ&y8XeoLoeqFb07P;P!52D&FSF3=qTua<3mgF9NrJOJ&pt5Vq z!?5Tfhs-hC;>n{(qW;)H++`7^98%vgLItA3V(V z`y*G^NJu^D|4QUE$pFZ4x-gvMp|5X{B1?|?>DvAHD)$DYA~RK;egeG*NGbiXw^lLT zdUiqu+DwjwHd=KY?Ng^cWG?c(FHxZZhzCQEYz!Ic)NTsnGg31xIKeZ!dOxVBeJQDk zPM0s))f4yb;_7J-eOCIY2cCXJ^ChAun+);e&f6hgXVc$LUG-0}`YQfv!eK=|VK>~k z`+}zckB@TRdUfVx`5hZ&hAkiFl75@?Lm~#7j!yw&miszEUfg(tE3vOAPF>}g#=uHd zMF4$_M8p6^K)Szjw}SbNvP9MU-o>5+Lshv2HBcedmd~}L=WRDfP2O_fhB$gZPuAm>#ZLcBC-x>#J8`4Cs|v&@ zG2*^fP7!phV${FouWT3*!#)P zi`_IAHBTh20CUgbqndR2(ES6q4b1S)A*8fK*Ac@7@kQmO_9jJy>F?~K$S+4z_zptp zG@es2XzWgJ+JOtQVl04auu1Nae#zRj6+X?01L8`)VxCXsWqA|sTTe&y7Eu@8TExK< z?WG}ekJG+Svd4Sbo{dStgd&5*Y9-JM?J5TQ&gFF$KQ%m3^$+ll<( zI9HHmzx0ylqMM$kh|`IF5%xn~?}CtG-;1mhm1$H6$~uJ?A_gr{iR(yWi<}Mc{++Z>LO*SM*WRFCGBo=+iebhPo_<}1B3YIY?bWDSw|2ESmdp7k`@Al(FH z@O}x}w@K<+pBlkU6R8g*5}lcy?sH4^E7TuW=3ig>?(NK!bCZD~1}9H6t* zag`}qL%%}~6@Bp#=-ZUi<1`VcHon0RT@=Syxes_jNr| zOJy7&3&=ra6K-qnhf_RJ%SKh*i6+YurY8f(V0cznFxsEG;G9c(f&rk{Ku%ReWg+;Y zv2M6;>};i#MJHBV{4i)@-_Kffdb81^Q|0#a(*8|O9(wwKtQs&yMy1DLpr1=h64; zf}`<)h3@o6W4?g}Py+f3lV>8TRu3MF7YK*>aM^4xEN!yj9V*EWurHd+>}@S8Dvem1 zb}GB*4yi-4?bwKyM{zHx3x-I)DfanW#wUg!!4KV)77874o4%A(c)wveqQ}LXkliriD}z#; zs)(U>i)z8ADCklI$!k6yhXY*c5H_$355+LDnSZfi2^k&)+JJv%Kg`2z&G6VYXD(8^ z*w;pibOj;nxh0aahLq5Z-&~rj2%dVP@L(U>Bi-C4i1CC&Lvlod6zTty-jQ6utm%p9 z684BZj!nquj$7UYQTZg$aH@xW>)hvAs1sR5s`nF0NU3oA-#pcZ8*RkM)KS@CuGInZ z?UU)m=#s;TD@K7AnP>u^-{Kc#g6GWeO*;P}8#4Z$k$HS5%nv4yt)d-(roV_E#d2HJ zW1S-LqqWUeN_E4NSdJ^{YFXVtoz<=w5-${3WTfYu{r0ri>yx9CKyyJrF;*kwd1Lq142K0yL9OZmlvb%A z_AlwhA3q$bxyNJfIG)N_8c7{O7`I%t=W-vI$`&lHZu#x2rulj4);n!qeg;A|vfET8 zWChV>`C59T8TXg_OV@ACrl1S3b)XS_P;t{Ys!K}A6SS$WW7ilP50ws2a%9v-(nrP( zDam1+x((psox?%&6w_iRO3yzl)<5=OLYc3vl&lf!%gp4u95V4#^RS(!^y{W=f+WSOe___&bK5x)i8>X<9IRXRk}LPI&fPso=-~s7`-+1=dFOm6d1JDp0#F> zysPHCnu*{xypXCnO*Q|VRuOBckijt19S6n`(MsVCn{-S4TJuEj8VF1d%~NSvHN8jR zTQuwkmu7!kW>#OMC}+}8uqmIKrkgt2<5J>QJA}NuX~1uS7Mf^}D{xn0)f%_)ail2; zc=&dQL}S=Lcq;g&w*RqY&}<@flpEv52hT812Fq z_Xqw{UFgu;e3wB2h+x6c;?nd#v`QxS;gtE73`%b1Hg_vkQt{YJXAqh>kVRCX zFOt0|UwB5SMn342{)zu*N)m;a#Yu9887rk^sq`=8{_CNSys@Ns>&{o>T~m;L#1yHe zPvWUHXqG#`Ot7{8V%mX(blEc;E?ndi5KqIJ&I0FaZd1dth;m17&*<427n^InCFKeQ z(JcqLGh8kaBVfJ+R$FY4WOcKsU)#)Ctek5wu)cXU2Vq?~9`l;N0(X|AWgZW^#Bz)!%J zI^Dn8EcG45Y|de|Cv-nZgi@pe#LMwQ+Bq+6&)c1a8(Hr0;j4mo{X^Oc;DkP1WxW>l zjiQ5C!=g0XjNx8_@9$NiCtzp5#2vor7Wls$5MD(VwhnS|GOQ_=EEX$$t1=r~I7+fh z4T2X~p{x~)<|UBlbj^TaJExxCT`hI0sR@)4cr%qvKY{i69uA7zO7sV_A6?9TDH;A1 z^l6k`lt5E&^|C3!Ge9hABGY7_qs}bj7%f6hm`{#g)EmK38X+Y~I_+AH@$jO~KMJ>i z89?*?Lv7eY@o~zKqH0Z7NDo-V4zNAXPO#EupRcN-U(G_K_Qqf>jMGL|LC zM87G_HJW)p(A*V^xT1sVc5k3&4n*Smk&c(!6q;y=<2Vo|FyT%4gqn1MHs6ViAI3Zg z&T8u&D-lj}JS|Y9+MVR8X6l`m(&dU#Y|(5}*oF?ZWe-s*0xdKR6SQujQZTLpu^=Ug z`Durx9!CRGy_@$c%ynF;J9k4iF`B+hK)=eaoadS^;Q(o1@qMFN_aGEurb2C5f7T5H z9OqWt;HRgcxx=;gkZ)@!GT|W~JMZB`4Jq5#{e^tkzi|ID=hIYi?#U4jfe7Z?-cdX) z;5HrQcXHL%O{#@GO;+X1>L*0Epnt8*w0Y$MA8c5nn0G)6y15X&n8NwJEBQR(N<>}S z&-$SM8DKiwxQYDz1uL3{CC2KI^cUO-u!B%{Ce0`d72m9|(+}JD(xGMzUB)9biRDV_ zCVQA0G&|7eag%v~Y~radm@sV+Pr-pS54`B?A=60M@%o`362GOb;rBQ!4NAf1kcf5> z>Yg%P7cnZc0GkAC^tHYJdjV4R?d+}n{WvqiZ=TMklwt~{N>R3hHN$#+1I4I4!v_i= z`sm6v8dm-IQ9o4}b9rd&>|IXsw`Vla8ScS8rGXA>T4FUBtDnRS@OXjD{J(x$1~GQK ziFiY#T^y!A{%OyaKp2aGbQ>pfGTyZ}bauafv>rz7Ymdzh{_cn#=o?vp0SI(${c$aB zelvLiE=l_=SE?ZkS+-=rm4JJg4pS)FaDAQe6o3biD-;NX(B!tDA;*x{NpSarc1U)P zk%h3f0+j<7T)re8n6<5^aU~^`;~a~rPTGJ2VO^JjDTq5nK_po3;P0v*s5;8EqHSvV zmLi8Wkshy^e~x7YrfQIMp&QK(f>m5whAuLcAhW&A)TryAQ6c)oOC$&rteKSVCvd&z zWD~=JQofX(j~PxU3kg$>Pc}gGk?yZ94S!_WD^Cjjj7nc$LE$$=D1O?XlLMbF;!q{@Rz}7<{L{i+` zH@{JP8Zk}VI1pOoiIVA7pMkp5_QUo8OxPSAqPscBW5+huy;h^3mrlxoV5!P-I4G}9 zf!yCbj~)tjVsls(8PTS~BJ^u&g&oUk9Y+2HSv1{qkZL*QHoS$3lsUb#Ar4uyojjlZm z1I{ijSV8z!e;MENo64;f4^~1m#&4(}N?zi(Z0;EoO1&58mnfQAqj*VJM?CE@1;wbB z2s$y2c&wZeV@mc;exO7?f51z~+U|=E0}5}AXy4O#l@#?l6++-bF2>6Tt^@$tG)x=| zBTaY$wqimbjqFK?#8CS+S>MbLRU+Z%6uKBg67Kx?NkpDBLpH-qXnvam(`lUhsD?Rr z5}>gtX($u{w^b!Fu4!nQ$D#&=OiToeqbI{Xf4ytP*ZE2vq?>ZQ9>GR-kC@X%CXR;I z8#Tmgq|Qp{Ty}2IrsU zdPBZk8CE-^lOD%a3Nv7{AL6WljJk#33h}s7=)I2)oDXB_W$2plu;EE8->;{hj%9pM z-_walPkziVSu1SMa9RZorPFY2el|U<7v0TFfvbi3(T6#I};=iS3iyB4#qcsn>F?lgTn%y@ip>g5aE^JQa>#dQ?!wPFQv&OI}Rk};N$;93voREFsX zB%N@Rdz>X31i$Ca0_Jd@#^xm>DjPKdGOhVhp->YZx ziu}Z?sMNm9S7<~Z!j<*Rsv00MGDm;?iArb?MR6}6u_Ts`+;fXtL^_?2hv!@;(%fM^ zH4By6Q4CNoJ=~zBwoSYM6(B}21fjj?A_QH;gGLTl+0|gl-=#gGpM;>WbIf6BGVQGS z%!q4ngbz{sf{rs8{}y>=5#GV4mbG4vy8;XqleQMysf>@Uc`T_hi9n2txR0yohf@t2 zc6PGLTffjB-khN9ctRLd92q0R<%zB&Z|0)_Ozz{E1@d0srQ3f^0j=(0{I5H1VXdse! zG#>=Y-Lg9G`#|R&meb}>kU=zA3Enf^+bGd882-022{6ER92!~;6zPG^0AcRbyO9je z-dZ#VojdX~6uhOj>O5w41ZW*lIm8x6;y}iDsa4pV%RNqSW#^|0y|3T25?rG2Xsh1P zJkHDj5VEZFJv#L`uA?IuWXxm`X`kzk3JTlt`dMw+!rQ*1d~g_HHZM1GdO)Vjr*0{` zGEt93bfZaigJ!j8U|j)|`~n#sY#1OUY4fVs0aCtNkG16I!N)gHH_zy5Tg zs$se*K`@GecaZjRRM7`SEBw}@-$SENVOT2}Y7?=!x6O_1sSsq;=QW8TR|r_z(ZKNbSQfH8fQAeUXMITI1g`=} z`VxBzSV_$So>9`OtZpcz;Wwn;CJR`YU_V3g;ZgwJtOs*!b3`H@B6>_UY`Tqvp+LpC zD_uOP&IedE9Ut^9(GOGD^|&|W8hOA*?G0y2)!&f`JUVEb?M`B~T`3?aSNSy*P%jL* zl`vMZ6IGwUdyaT^XZ1rqMzVDV4u@OidLqW`dvW_#KQk(@1xc1``%1aiux(FbA?5Mr zRGi5BK23N)Y+}n?#VK233_8E3*rpmj4!%$XRR*;me&J~PW!F~N2(PHvX&|`B+~q4Y zafbhvLQh-Aaj91AWAb-ucq`Ut{Ub3tB|M`rko+ZA5lV4qyj8HGmA8tIA$Y7dQH{yU zI?OO(dn2+w2Ejih=r8D&rsUVWu8(owP-D+Gl=5q7Ul4zyX62KmthW8LZk%=%T)-a7 z5O@j5oUxT(Mwr0O=uXA(K(+sox_~o_9hiUPsx#}op4MV{ug`j0d<4Yzh;bV^%Uasyqi>LcPR_EyN7lfFIIEyGpIPr(W?G(mZRNbe$ zs^NXyot9cpB%k4)-iL2|bI<=6g>SoLs#z%TqZI=w(<5{BJA?4qJ1$16I3Iyt0VFug z5sdrZ!i_Ar#1x0m9Jtk3a|Zk4MDxj`u>fuY_dD zuCsmgfQ-(1&eOCI(B+OTu7y~@Otuz1&fxTCMBmt!-3OSQ$hd!Npn>WWn=e#ZPHwe6 zfZ7kS)Q5KC)t}cQg8>zFntNZkHE`-B6DAx1-L)Y$sdZt!ZN68lzHW1~aFkZc_NNLE z`E!hMUx1^~gt!b}Vpi_(z{#fEpqP)7tS!x3-IT%H>f~FQo6^ll4*_dk{8A_GJqIZ2 zuuBw5RL>4g_BB^CCHJ9q7Q@FkKC11|e~*$v<1Xnv4fd)F778WnHVqGHkr@J?1SU$) z6_(ns?Pq0(W_szn142hIn_v95lJq;nRp87_a{~wd{}{BS$X&`i%ghQKEC3c$q0Iz} zH=I^oKE`8J;BD;obRu@LtgD=sQO$cv8a2q`86u{`UJizJl~#i@D8D9_EHnihCpQX% zCZsQM4K`ReIz1EaMog8%3-HpJAf(`Xsf)QHx+t>Hk1J#qnT-=?xyrLkp*Q^Vf(HBo zttSpWbpa)5fU+~7`7IVH)(W2Grx_xtf6wdxu3AoANtg|9V{<6gXaKf?x%QhKeTz7` z`{X09eg16J&vTGtGW34DRUK%uT>~XGZiDbyv(!ie31{;`x(N%w#soAN30kWJlaodI zs%9b(-zbOpDSD*9K@78-5bv3tF+SAENSLuVG>X!jO>8Z7)s%1+@-Dl%xWM@%~80ug65w_#<3b+wRnq~>yb@EjNkH-p0j}nYhpl- z{2=9*av9y>z7V2F?wB5ff9dA~`g@!ps9b#KC@8Zb{$ffbF=o}hZC8}-cjoC*6u4Iu z2_8Kh0mIO)A2NlNqvVeHKeI}r)8^ZGz6#)tRJa2XPpe+(XK7N>m9dptK93f+%;w5@Hz#%+Wn7r!IZ8bZA~o67PD#`%H4xq2ThNw=WEIRk{* zYDIkuT1HQ&c>%F;ZNv^XPZG>RlQ^`Iv$q_Lo%qgoqY zAzXzO=`Xo^gsvkMGBWW9gYQjXI5;`YroZmNt2>rj9St=K!MlY4QoDD}^_;vN0c;}2 zS!Ax7a*}G7$sV}u!>xJq1Qkrv0Lp}#qhuXX6)TkMBjmYUl}NO^o30d8{A!`(M&Vkg zdZ4eq@eqTE%aqG~4sw=2+k3bNXg8_Cu3J7XcF*0QDN`V%cRkG4j+2w*f>a z67d8LhZDsJ!c9fD>&X04p?6kaMHy3domtQz@V@e|V@Hn!#F+Tno{OYapqffGe2*OT zP@Ar?Cu&{r93?{s*KS@8-cTMbLvM``nCOS9m`>HDHYP0%JU#CL(^7d7%9a|(BVJ^1f?C|rziwmr)o4h8xBiUo&1bylsU7`l-t%5+*@8&Tr;Lv+}(QV|(K& z^%|K6%+X@nzxJiU}N7tW`4 zROFRCYX3wsQyzNfYtz}C4QJR&-P;z4ua}U`*tB!(r4qE;T}>@rt+6pQzXgW>wGESX z;FAj4p5i?QumVN|s;Ww>=!Wl=IG?DWvg>qYFnLPq7mIAXrh44q2$>^*wyg8}YDlJZ zMk@*>gx&Ez9-f`{7nEjs?uwRn7`ik+$aYI@r83ch$#LuH$XI&C zm(CWG4U3H^HIU@1?X7L>aD>vf_Z5?i{2MZb{JRT+VXW5 z;UE^A1wE4Z9^RAjAC@!zJ9wltB&2TRN&ziq=WLQkMpDwUxUt)#?Q?9`WJ83N%VYv=U^815w!2aAg@<6Cd9f z%&u|~Y<)(cwt!p$G3K+5B>`LO+5S592%9$3Ru4ld3H-rW+VVtk)q}jQpBy0oO?G9; zp1_28o*|1#DZzJpJpTHSz~(I&7!1{%iWNhis%=_w{k|VD)fy*AawheEdDS+nhShxVO`IGnXT^L_~Tf&+`iv92_D%Fa?RK!2NDbT#i$+?s1ZdWY5WtIw%aY34c+VF{9QW+9e?cTfu?{7*1X+S(4Vhr9u50ep@d)` zr>h|oY~q0F61dRW4J*s!`&@wFlEwx5 z33kvb{}_U{ZXnhj0ZlcBETvj|qi0@vE$uXe<68)bpW>)U>vk*`FJ0C~fw=OAf?h`F z{su9b=J;B>Vc11lq?O^2%#zRPF3Q({UyP`f929Rp?1``JcwYRaI7l4ZR)&Y;Mzagn zH6QVH%MaIKp?P}F$`13!csayGr;9?!YdEX1bZ}-!4}A-Z%5TstvB-Z4de;>`{KG#> zZu;HcKnzY9m9aB?<^yZtgIeEnJ&Y>Hl6}@rCKYpl1ZnGC)=km!zc~QkbVvYD$n0dq zeGoE*3YIm17r1TTN}^)OE~Cj)D6jm8NbnLt+jDOy)6tBHY{84A^2`FhKTmUrfmTQ& zIAm@_V`EaQCDx_YqJ7Oec#QNOJOm$l)|i+$Mx$9N>O< zn<|wT4N+Etf=h-Rg%~swh~fU!UQt7QIIS|s{n;y=Zgu|Y9GO8mnvr5@Rc zrDbupLH5{@z+@7-QXkj#Ez^7SqFAdbVjpMV2R(L`-+Ua1!Z^-Ru^H{T=pgmvzco-J zdHc(^vEzuU-%H)d!gbJU_Sl5jhRsXv;V#(8qk1AESIGK z_L~h(=D%QA5Ij%zpOL|ft&~Ig)B>k@Hi+&x(nlsyAIqE{gq~3!q=rU6nmVDw$#ayD z!uO+3f#Nit*BLs6R$J6{gWe*KWn6t-`w8%QM;T8^{L|=`S(ik!$6w_3ydSplcvrI6 z#dwl*AsNq^${D5SvdHHK&yyI7!601q*wNnc2W0R!OwfM{j$SC=cYo!KmuGVO4;wh5 zx%1ylH$i5`;Y5*W-x!fdlR7Xf~fylCM}8y@=mzYk=g z0JuRDdX<%zlEnV|a;$J$g17_0WQAWzlQM<$TUdw2I?)(Zv3s-1Y%Z2{OIIV8Gd_=K z7`J%C!i#SyzteGgWB)n09JBaTTia4o@YO6^q^f|U#E)PgGL3W~MQoD>Xb-V;OqXK) zM*z+XQfj0oK^zM& zpGIj>l?ouvNs_i^29Dd|ooXGZsB&Ia*9a(g9J4kbqjvf3)x{m7a^4?WmUy}G@muY z`Lz;hQx7(1_BG}zk!89rNOWp8`2A00mSWQlm>Do|MtK0(k``P=WHCBLVlk;+|D0kT zi*o%F3s9Kw@-QDxMBDC>+yu3Aqv{hTiH(iFeKsBMF;(1FlB^x1Az76R%XHF8sBt$c zGX?4Ey(~z^HZTcX06o?MNCPrmYd^ZbPRD-ozhWhQ@=^Y=Ze|w0&ulXQ6LS<#^xR5s z#_WI8#A62sn?7{FuYeGw)#pi4>RV98f%f1*38ztA)>3Jjt3bn3BYsK?R6k>b8YxD8 zDHBZ8>SHSEXn@k(?<(ZPuXyCpOk19B)FFgpQ+_WPSM0AZ{j7zA>VY;`AeRBrAB4GN z7YSM`y0+QBQ`oH?TT*Ecks$2FC+`Mbne#~SyROq5O37aLT^1yIM;H=S0m?Lz-NNkb z@9+MTob8I|ADaZM+*}1u44*Opz%ookyfBp=&yQ7Z1tM5{D;XnsynLsy&MC-**47Ka zC;<~7L_sXWA?}Aurfm8Ow@;t8A)lHy7&TVt2>jo-oG8g9)4iOp~c^H#7H|Dl};fwarSr!*q1Tp@G?u2c0_=@T`b+l}>?I9`TR>yyZMyKOy8ffeX+$}LAbUj!<^EhD>NA{TEMRXyblxH zZ8rK_F?ME0)w?<6pdIURWLw3Eq9nV$*hx%Efh~Ru`Xq-&x$O(}nfp0fSE6bTOb_^_ zt2;Fvxu%`N0UVP_^j`j{1~04dqr z7ref(_csriu;BaLZ9k1)$bJZHcb8h(=nkpEWMQ8OqkQNS!kZx>A^6kUK@`TRCDS`O ztUwVPkP7-yOo4XaDSl-C)vV|c@3Q$HyrSyxf?=R4x{f+C7_lbDBu$dZl>4Eksr@l? z+q0&WJy3~vvy{Zj6mI%0R}is0*E`!*c2boY=Jrzq9~I+bupO=0?+~bfsG>keP~JpPEP?i`~^Ug4o0Vgy_RBI4PBjmoaYRZkO&gSr-Vi16EZkO{!tR`X9s(pd zotmAkzKh2$k#eCh%Jt_~;}Dp2g&8CLk%)fvn9c?54s0uV9aUQMdb{uYa3Hs4yJ<^j zPo|Fwm2iD3A7_u>aCvnW8vyU>5Q|v76--rytCI8gKKR$A>R)ndEEN=-g1;pe^%T;gC5#)$om-Q8A1re6vb^B z%GVHT77(w|Ez=@)i&B3WV(jgqTNc?*azy&Yp3-~)Mvr9*FKWT{0uikqoJrX^JO%6U z$&>x`H_tw`^|<>su+nDl3K>yUHNv$|YcgTb#GPlfTab%%tnpLlHhyom63*OL+*g4P zA4>3NFLSWMAXGO0FnvoG3@E7p^D!qVt&bLm_$W&9>fGvUynPQ51Tw$UOu>a+CTmA= zgcpC$Q#!_O%8(^6h#vQVw*ZMh(IA6Eit>UIndrzne)9xUK`y&$2GEm5ej7~H_XH%r zspye%4Y!H#Y9d*A|7I_4PtygbP-D zvV9Y@cTdY`p@8#N+;g-NOFO^*j+?jFdVdxs>0VHI^$Lhqk#{Ao&_~B7nx8ZhLCZlp z`C4thwPT5MgFE~{;ei$nvE@#*fD&|ZX9tRRZpOV5^ zgw-1-9f~1WYy8(VNbE@2t-NE(q#vG5;XUnsOPDpQ#){tRBD-y!_3e#;mZk~0#4Nt8 zEyTaOSHdAksMc&)z)5<0V;{S9QqQWBh3_9Ra+MoQKB8qYb@%ZaE@^%1Y{d4*^+8Z@$E)*X?sh6 zq5YahVr|A(Rj>-Xf&^TKgy;d;UJc^srmVDzX#E;{Mu*T=AT4zlCnfA!WeiBexakOjI{lTDwwZKPeqg=nix5}u7- zQGG6xHtp?(j=z0%A{K!wqQGfAG9l2y%9Z_;p17XhzD$4XiRX&0!4b7mLM(t0e=47P ze<`zB6a-2C75=DPpg%Eo?^cffcNMw(n7_ywR?5hWs9V2 z$b80yjQ`6dIVZ6k4J-gr_&KEb&1G$I3BCV8tK zcr~wjew7_mp6naV%vmO(jJ*vB)*isInD3>w0ILz8T9KXSL4wr3K_|UebcSS$Uoznu z0til~|A6YjXBUS}eQFMRWGtjioG9ec9-$nOA&Kqo)-?Odbx^ z=lZT7%9q&R)oKN{5b%14y@KMJh^9zzT$)Uw7fD&8aB3q0gI(2J{e?+MMRu$ws;(M1 z6zqk>qT*j&JCp1Z?(e%+b2oBZQxZp`pX{p0jR;tDWVE4`=Cl_>VH_v~c6^vt#^gn2(r%V1t>g!O03G!AuCpySa3y`T&2DL^UE6mG>Nvwe z+^-Gy>XYgL-C7h&;K-6^eh17ks$LQ>WhZ|GLeT>lhRQtKJzl;Mp5I}uf5+5?ZD9Em z=Q?OBO}|uAALiiU0N2f}XEmGm7LjXtP0k359-L#x@0;-c?TNm!SRK91nzvX7RC3S< zxG=?Kz~^NHs#Rp%Ew^9o2I_nPN@&Pm+5|xF0rAS-FQ&Kfq`(9Pkc88LSb#!t#8D#_Q=*r{iv8SUfsI!Sr8^zWq$Sy^O&) z6p)|x3;l8mt4}$c&F|m^@x1PY(aQ6g+_lBC7bdm+tf)9goSYpFmc}P6Kgp62G5hs_ zzKeTb1gV_24#I*A)4pmItWB!In}WSB;}mUMX&0%E=qKYtv;dL`r#E&1BLtoS!sBX7 zkd8K7jUz`p8sUynh@JBf)NzIb^C8Mt9i5S)F}y5l`bNoZj+aMbZdUsHMRK12b~lNL zVhl0$3Sw)c_xX9naIC<-pO^ z7Ue)z-*jCJrI|o-G2T&29Ws5OxUI-5i5h_e3 zUSR=4I6_e{pSYgJScC(3)V;LSxvyJoF^D`6D9u(#kMH~FQP!uLEwXS-9qKOzYanI4 z!+?~T+(%Jb)cChsNA0xP^*z)_>$aKlF9afy1a=-$le9*xRe1`BwMVPL_8wQ4CSpuZMH3mbgCXHgMVspz8LQ7LI-qE;_|mJqu5NjbcME^WQA^pGvHtPdX0mf;i%&v0T4jwza4mRnU27Z_~PStFSp7gA7GeH+<6KCRrF3&t!;k2~G+ph0o4*ljO za_07JmUGCFgJPv^c7CmQaxs#YTcC#24!a?JER6gHCD_(xoQD4hL@N%jimNPmCzcXv z&4GJgBjj8@2_3#Ztn|_-i=wvYKds4}08B>Jbb6kP`8I2VsZdhG9|Ay0sy4np8YE8V zRcUNSmE{5^h1z!Qk$R$0VU^gD?)urqa#^n`2u)$+{+Hr^i!`967Psa*@?Wf`;X8R5 zmE5Q2Fimj-cr<|Y-*5vA&z^)BmDF3f*_-Y!k}N*VFiOS-*oy!f3YbmN_m_l`a%9i5 zn8y2(Z;SICopmqmu9B>XiGx!yzpkK?L^AnIr6dQ?MjulLLNR)1#!ZGeZZoy?xGNAg z3MYp4QMO@Mb9+L{zeetoyur!YZmr5q^U?;6xam$iJ!@||R1n=O`KL$c6!7Op<$)|! z@U}^*=K+T*$D0#G@FE2LC>jy9pnBFY&OxX7 zY9GWglN8kU{I*Vqf0BEW9OHz0q_&9@K^YF)r=}Zq4v7Ei%!Z@)zdyOk_-85^CQ@jGz8w3$XAfPV76AYPr)aY=*j^IZEwbc(3pRV!Yv|S)zowjuN&a|^h{_IY@*|0{#O@1DsCY)RIqFm&Qs!xMK;;7e3 zE5$pyZ@aauZ70Uduxr=p^0bP)UsBRxy^A@;=+J~ccJfh@xz0g|xTcfJF(A<~`o>V4 z;RH)~^>vRU35=6gMyg%2SIpB{H`$l_bVaEOVVL`%yDjuc@?wt|gq}5ugTKyE9Yeo1 zl`5F)gPP`kn3Qv1mv8+;n)%JJrcBjE(aDKad$2KUo71M&$G>wcqd6Njg2LDlxEIS< zXoNf0*B(vz(({=4p+_R&kw9yqy}qdH?w>>RZT)5rX@3-WfF#CXR*^a#8L1^oP4+>>7F)y zNGWF0hoJQ)VOq_G{Ab}`%JwRzxyBq70NB2>W$B@_FJ7>w`^Df-9CMfmY%V3HLeA4o zUl}dOw6Pr+70;JE$`YiOfC_yGKV$xzw~(%n%Y$fRlX~oL0*k&fiL#qR{(g z977wPmF8La)}9~q`zQ`6F^Ga0DtLpqe$uG6JS|_c9RAk7R{gmO&j$8binCyM0X+>N z^<}`7vyoDX7W5CP)2A(}h@Pd=Kq^J_c@!2VUbA1@>xRz}luZ4@Oh3Bp*h&-XNQ>)d zaJ*(qrCLuiGm`FZRfo@)G?@3rjq!V*FN%<4;f(9$^dVhW$)QA4nk2V$?R@ZLoc7ru zU0*%Cby^eP_Hn=EQ6(V^Zm08?i~TAlmN*_3KBVLNE?3Bsyp2#E*VDaIj9!U>%8zJ` zg}eQ>I_F&0NoM5iIc#?W_*3$;Q=i79oB5Ay8+6ruD8mwO8PGwWlD+nFVjMpcNe7qM zK6yG-`l2I&G)l&o`gkE*3gx;=$pq(ku`{~$g!RtQVpn`9W&aWiSsnV1%UHV3wMhY@ zy2~7mNZcX;sNJiLl3(dlJV9g3im&a-!LThYPFyXzZXz#SH&@yg{S{Z)IOm}$HMYlxhLC7sz^y@m(y&!8viHI7bf-`#{<`UBTY*st@8Aq1!z4%Sq8O# z3QJSz{36J^8^uheaoWy`I~he@k{S$zp$R#E|h00jpb}Na4ErY z%sAE=g3_~5k7nUSnDfbtmq)C>@K*K*v#yP!ayaKr5#aI6E-wQ4UQm?Bp8zrW>4ox9 zwLr18`I-||;1RsCtWF@4Tt`g%>i4$X3neNX-6FeFJVDtbcNYXhfiUIAEPJ6MVH6j> z=tn?aSCJ^H>2cYd1?C~?*ET{fbBN8O8cj3@9n=H- zoQ$Vl9Uq~DkZ@JIDN}DAybRy^f_*O8js92I(VPbZlBM7xHO~JJr{2iw;%d}(eSi6> zFgYe2h#jWh?k$eJT@$MV$*k_13ceou=7VBwcp{|O?RflAAzW5*m)H*xY2q`l_GR^& zP_FR0lA@#KWEBVl4eKf=9!JHSjc8W1{FCJ?u9tr%LoXg=Uj5Cahrs)A8Nj4x9H3X;Fpp7gb-u-5mq^&A zHvE$(@jnrdWwcdcxsw@l>7T4FPD!&|$NCz$_~u*uEga=8YM4Wp4*6e>ZcX|n5>jNaF)|UvI^gWi)M$dRYW2d^ZE!o2M2zO&(n8Z`7bNENYbWz$DgqW1{n=%_VZV9kl6 z^6KkOHwbEGB&LIkMO9`O-e1xrHU1b5ZVu6 zBXviC(&+*34FJFIcxIMKGxjnQbX>LFE`fX(lLEZ--5JcE_lj13pVtreV&>6JJ!7)2 zkb{CAe9%IIahRVM1Lxp#0Pin+hxxE(6G33-hGI_09N&KaNM5)M8;%F815hlkSsz)b zJo>d9h_R4Pe~I+r5aT7*sNO9g9S|MC2RJI7$7A5~%7)~sWU4@dKdB<|WOU#?*SQ}y zoBbVvZ;k?o&F2Mk(-Jp6y)fq%Mg!x@-)6mzw-1vQDjT~=>6K2#`Zhls z8dg;(Cv@dGD_^zWhwZ5rMgp_OR3C`ajq19RY#opEes4V=Xq3A0S8eadbqS5=wJNwu z?bg})>RU00*v%5ES1a-Ni5Cwf{DOml^VPRK2$V^g1k36~{* zFF>GQhx?sc(&OD}Tui#^1xY$r7ISY0@bIun#HS9`1JhTWnZH=7Nop5eIOXptq|D?t zMf1IBUrDDn_(v_8kb(xWw;A=B&_`mRKTEmG0hCWBltU`kPT?G0eO&W_eNTFAjuj9G z0LKp?sG34qTkIqFUL1G=KNXP0D~gku4Ef$+1JE3Dmz(`ZPgw*T8=p4;^4_%Lo=>Xb zuJkDVPu`=oX;;t^o0jks3{i&88v|00PIv;ftEzn(!q|r%Lecl**tJg5(S05Nb7ix6 zhFEY=DsfhIL%o&XzwBgT9O{x_RJm46(#9Mq;n*~Kn4QpK2kOiVYQVS*?q+nxtW4K6 z&?&YZhoKObXAT?-Pd_aJIbScH(&3PlHTM40n@!`v*$haA79sKr8a%0SBuhzih*_f( zJ;N}~X^3SK_y|b$dfp0RZsy>+$P*q&bZr|naH7Xli(xWNqWOuSng-J%h zwH47K-_n^p&NUSpfCY5_)c9tGjDIq+LGje%#)t(%F*nSFbAWNH;Nppof2-ZM}C)Qf6xTL%sqxNC?*a88*fzAX0qtT z++7~~l_@e1!=A$LNl~%#2}wQbaob`d0n{V(k6~dOLSuC??>CZ>-F0cvaa1EHvG?oM zyh#cWp-%v$WVP>rt{qrYnd2$du~O&xlYef}R$fdFP5FCv<8ISC0Ay{=uDOrIs-I2G zF~YTQGON+Keqyg5MBipj`q`JkIlYRB6ZpMvrvGc25;Is%0tGrL3`aaQz+uf$C7L4+ z1R&`ceG?y_qU`H&HaOIRTNzaC+1k(v(Vx4n-J>xHY*2QC!uAlDscW{AeMr;U!s@g3 zpwo@Mp43^O&M2Cpn0JGE!94Caw%~#?1}rgSIc?~i`cvqjcBX;V3y=NFB-AlKUB8}Z z!9~>UJRZ0mwg*tklPTgILC~h><>9UnvydK*WWwj`qOx=MF8wsrAshq@M&>bgHixU0 zSD9N)vFrfq&J^Z4%%$S+*d(Z8-)5xDR2Ud*IA3d)sOeS~Nj!>{PekU4?zhvo#;*d= zgBd#PI5v^Rj5Ar<+ZMtqA)!9Opj`6$@jt1mC!B^Et4Lhhi$0#8Rqlm^bUVSqS?W&; zOkN(PzA?ICWWmSQ8zmmA<+fbJG9fi8Wa@N?WY+t&suD^WE=v@IOzd`uE^M3nax%uL zpqXpew2;GVY(1N|5?ltik&t9uS_+Z?%uQna4;gjpHDrR6jOl2@*;}iSWevTtC;hOXA6R*RwkCi1P zMyfC6VPoBq?K{L6!WZ!j>x8Oat5BX(thTgb*)N+Bi>|VbVQZ(}|G#!%Y#W&4&tZC0 zJYAA_`ee5;0WTq^1r}BLR1UjTq@Ov^+eY2Q;L7>mFwtnmVH!Cxn%;Sz>N@~=Txd5K zl(vxE{o%iWCQb2g79O8~=b@)F9ACS1Anxlb{sD#+&mwZn(&aLWNM;(aGr=wlpl2gt z2SrN`1jzu^ru6p;`9<*xbjCHzX2N8%6$F8xXcYIi8m9`b+eu!_-AD@li9E$u`83CsjM;2x(TOG zVtTr3^DIv*M!g)lZB6>JN|7VyD)Gz_FbT3}!0Y?$^#gaY9sborqs{?k%42+OVg(BL z)L*W^<|a(K?M?H{TR3IFMV1%(+Ej@5tl5&jmCcPKA9(agQr6Z;KKq0Zxoj{GLpTZ0 z0*PO*nA9@-XPH~neePJZ$d9n4M;-QR-3)YSqDcG1G8-=iuap#4i<8uiJU3pF%=C-oG*bH%i!qVduD-UD&cdVD;4&oy%Cc8@*q6o(fA^QVBRTdG3IbeOwHPs z&IH5ieg9&7iEt|{H$ZR+#+>F%V|M6plbMdG?KyYc%NR)Z@~K8wlWHMw+Vn_HKdSMi z>|9;t<(PfVs;g?04)VH$`Ptj_LoS{kGlE3qZPx@)Vt)5i9x103sJ-jeo9h22T`Kuh z;=L$q-8t|5HRXOxUu~Y0_RiW4u|dDdv5`E27_@*`SFzWwLMe_e zf1Y>TGz+k?zE6|^2U=U8^G@@o`$F7<++p3>2L$ z@x!XB$H^QDc0UrFcU1FX=mrQ6ojhE1K0rJ@a{}au)p+@IfTKYKjZ#;#9Ki}&wOSbT zbs)RIA7jPD_5s}a$v>cm71~;s)&&91ND&-jTKo&@SpyWGtky0uTLDlKT-Kc#w!Z}v z@zc+-=FsPa^hcL$?+m0T>4TMFUgiPIkvp3o6G5S0^?Rbr$Y{%tXM=%(+u&9NbA7q? z29sMuFviU`vw1)?ybPwNl?m?p$2BIKyeNNu#Z^rZuoJ}fFZ|%_p_F5uxtKjnfZOZ4 zUlTdj?wj+tfkv}>H-Bf+psI&$TF7#*v)4P0#TkivAgNxOpKOZ>W0-qY(=|r=u)y-F zPvBopz)-1w%!&R7FgiHsR4ooLY5I!1Dt&ZMy6pXX51`df3l6)A{IVWqPMg2)X2LNy zESLo{UT?o>`2tI&5isqv&svH_I}7_=)a{9{d$Miia`5vq!~QlRT)Z%t-+MG-Qdran zRny>O)FiHsNA}^P=cf96ZfM_ZZ9xrF$*CQ2ZcQ!D`dFhQ0$G^Fr0f?&8{YJ=pfSMo zWo@Hx8|^6anXa?-oTa@~Xc>fui8>OSz~ z5Iw+@gzh~v``#|9vge4KTf$4F>=cvsmW)}d>(TZ6yyVa3Pztxsf*w`0>3V<*eM5RA z6cva76DfS~6VzZU%%DJE+4EhDfl(OeZjc8Qlf+{++_seg(r%BtwDr>I+X1ziF}H&@W`m^n5CG0coJDN?klpk*u}KlXBe9vf-jt zh2yypU{4<21A7XXFPV+*;lRXTCj ziL46Cm)iG}Xr11I@pWN{Tw4X(yfmU?^ixp@_aFKAb38-06{Ic9n=v=sD@r65up);gBJmkKR8b*4-D)tm(r!PGX80U5{mYk1paYn+ss(w~ z;|=`fAS$$>EiyacmhGEACa}c7tIuTvv`JL4#w#=GfE}!m1BRLiU!~$sF*J7YS$FQ!I3D@s~3JsuG0QGfbMA)k&f7-`A-W^hO>WYzz}UXeV*@Qgbj# ziuneL76wl^_AE9FFo6ASall)XWjcU~(Us0;T<^4dKP+6D>l{$;4kZtX2R#55-n^FQ zaqs(z4sHWGGk@bu)T$joQgYMpGh2K#y3Pf4nlga7+i>WgO_vr@507QA^PZ*koaQR; zJ^U|i{AcDFnf;eva5&Br?0G!3Tlq-zP%jHgDA^flTiE*_^`^3mfnvJ@f&Q*gL7U1|uvO_5AF zC+iqcQ9$0g%ziFW7e*2L$a=LgJ}e%Bx?O!xhP_a78FaGtEt}Gz?_<#ZcA&-!PPzlB zPsYrQw!i1w7ZuuEQB#ZFukl&!NH|1OEJu-Err-8hx<(f*r3f8_KC^_^B9A5D04ba_ z)VdC)(%92qifaA`oL2%*m-CK+6d%}j$iE=vJi~y9R$`r2rnRKlZp2g9r{bxcS3ebk zRIriuL#in?2#(c}5aTvACCHB_PlMKp#c=(a>`!Uf4I2B-nmyU5DGDg+Ftc)xOD`<#n3?~5Pgaj7fyVgnaAnIg zXBU@26rPB`JM>pVrd8;WY2nlBKVg>hB6i5~(+o$A(*-Q%Z&-PZ z$mK{2Em;pynK=z|c5&BbR5tP7*8|s;WCuJ{0xj|7ZX}jTPB#Nh6)NVBDo;QVocOBT z>6#_zB*%-1m>#cURqOs4c{~4Fi5fJ)+I{Pq(sJ_Si|Q0-$IbOg~u+=AcP9*DLjtA*V0STy%PJO{Qu^}Eqte9Yd{gf>%31rSA1kXMqqXWRdi#T?ds-bHDMcxotrTIRcrEq z)2~u)TolV@bTcGAlE^`sg7pOtuUOKqYA4M}q1MAqjBg(-9k&QINu{vN$heFo8c1cV z?3}u=4l6bMmD1vz6rE@Sp|2R^3x?>oNLe2rXswgKYw=l!OM?mt=kDE~WFzfp%O<}i z!uwp!{pdfbIxRr`rIoMi8Bhxhd2GR*v9+2tol2%S6U-d#>N>o-wy@mFlsg1A-=0)# zPi}CPgXH~1NFtcF&8Q!YClhX!Pr$_d=sEkvL154l>m)s&K*}ZlJ({07ajbgSB&KN- z7G`#y47q<2rYfTX3X3tVz!AoXfiCcf$tNA_MZP)iqtSr!Ml=l)bX51|p3Ko0aFx}# z`U7RrmClG9k$szFAjBW|FYw`GA1XVRXI^CDLzy-zKx!uS@RYX(jMLl)2vXIX*!bA(h09C|K-Zj0WFx!QeeE?cVn>NlA){6qG>SQ9A$*%=l8xD3cYFZ)yY3F zIJuHKy!);4}y$Amv(=g%jUPOl#DNc}jba!f-D2Bgf-45tK`Z=xd2C~GhUVqZ0 zCS?LK93`#F{k1`r!}FireNcS+R6hhHVb$ke59y!%_G8orLvj~&E|2W@tEci_v-aS$ z17)N$o=c-`7*k1#C~<;t&#!2N+b^8mhNYofUmbS%SOEFKwmh~*8PzZIkkLd$KFXNL z&#!*|FvGQVm=2Cy|Nni$GzPHTJ{*KOwT0>E?(t+i8SXZApEcv&ZvA{i_*0IGRJ(x)N^PdfHqk^gy7s3p)d`IERe3;}oQhMwW&i+epvR>A?`O!Ku{>>gjNX({E&sYh&h$JM1WaVp%!qaV!5nUvmv zy`d`(2XT5m)tK8bmNMLL0EbkPbF0dpCmxqaC^qt(l4FDSsb#4bx3FxAcYxZRS!Iq^ zhn_Z!)>0UOe3z{9>J3hRdbV0u#Kc=-MtXOi!a_yI>w%@I`mpj8`RfN#c zqc_Hl#yC}dGxw|0;Xw})ss86$q+AAMM6nF^#NJD*27e+CgVmBH&%jd?&9UP0`KSz( z0CCx6q&UDJ<4gJ%{-uM7#)Wc|>?MWZ}%`xAnO?X3v+l zK8+_G-vU|%zRDu;KGhA0t=<@o;mMp;8A8aE$SvR37u3ME#0G#S=A{W(`1+By?^KG^n z&P%6#^@I+;a&x6BmF|R`^$LH?jT{>no>NJ%xzT;}C2@dx@F*Rg0 zq-Q(n$p`mxI0Nau^73UqOr2{=`G;1uwmp!BjGZi=_?)i9sEmJ7tR2U(l2A{-Z+qPFHv$JqfB~p}41V*X9V%TmnLAbUhY_F= zfIHKkB}p7RO$zp86;53p_*>^v>E(E=~PK?yQF#~7prwv*?OID=Psm%oQ*Ww9WwA+udKQkIKM3<$TRw{E~K)Qv0T&6 z4aacxt$D-kNbAC)u5Lwq_1_sxJXh~3a8Hp%dJL}ucxhW|seYg>XemIU9A!aZ`?P<& zsh+8`Z{)Q`th+bCAKTA)Go%)=C4WHkFlaF+GCR3H+Zbn2q98PI z?gS@6GzXwP@O*?RsU02M*8o>%yA1OWaMG;a;ZSp4E|NK9jg}p=DlO0dBgIyQlkOZf zpFuM92Gp0ZQDO$dQWrVG8cc_tO_{KyKqsfA?M=P#00M}cqG_c{(BFwHUHL_Z$LtuM zszmmnELm55rai{Tc!74~LDnR`oT&<==`7r825htA{p{RWop>fC76^oUe2=^M!wgQmM1|GAuf+9D$<(MZ0t)ed7YT#k21o zv%1pjXTZz0NIl<`lRVOWdic)GZ_T}E!l7$95xD5?IH)+A5x;=cG73}JFm-~38$puS zPM!>70je$vV1*4_h=c${7-?c7*3|&LS!u(~Lp@DP;r>?}$VK(Nz6RotbqZ|Au8p_+Ri=ERpTpRG7iv|Ux^ zfbUho;%py}$^^S%U<$019q;Br4ga5I2%tk6e3^RjSe$;+b3?5<2q|ClXyB}6qxS2q zwjUAZ(Gs|X)K_KFs_jThQT55?9qCr8XsKTvs(e!w`V+&Ly~GgG*qkP-gKCBgOq$gB zn!O*EF(V=E0KiuSENfn~ARi`uOdA>z4)+1p*~~xV=@u3#sA9Lk&qYwL1A zEw!dg@GDmE%wc`OFEdxvlfvlX9=x!_zDvj?Y2BCm%#xY8LcV*(THaoh^K(1MgxKhg z{7X3IgIdUPYELwu38h?C=D+DCFF}NB!B~KyK<+n=;}%&) zzPa)s4l|~+;Q5aCm$zu-aKxymrq}T#lRPTBwU|&~{u`)V7!By|>;Hb3vmyZEYIq#1 zN$lPQ$y(=aNok}axjd7#*{=D(`-8vw7mw(O$C6SS`@Xwp;Y#B9K9NqWI{c%ExQXA+*27 z+*=ijS9i5jLlIJ;L{U&>;oDFTI_5F}UJBydbJ)&f2Gr`q^^@nq;ZKOiA{eTZlum?1 zvQ0P~{g~%7Hl0i!jZ|Xi0OBeseDe-Hk}m=N^wlh(jfF1rFy#phj&x)C|zW*z`j9s1aKCuc0CHrs_J^1|@ z3dY!&cN|0Hj6zt{b}YD$pY|fVwClJ3@emj3x)t5I`M(g{M%pd_&rlOyU#jRtmmc9Rw!*A3=zEw3qFr+V`A@ECl!6Tr*@@)?i2x10M|u6N3q z-WU}xywLXy?KRTjwb~y6TDS+-EdjrwUqfL+MV)aG+|$@IF|NTv50<7@8d-E8cCxS; zUc`UTBe(>YL&G|V@l&O?%`J;xtPyC48JxOAIH}X%Eb>Yx zww|O{J*5fCMFb`WspA*sFzJ16ldI0v)qM^|iW*C)W9hRUVrD(5@z;i@CQ;Kxa&Tq3zbOL->ixnE-zXvj_$LiX->AM zO}zfpS_HS-KA}3AD2Bay%KMQ{9$_|%UvfBPRDhEqk+gWL>>YVxxlENTA2uJkANQ5R9jh7|SaM<8t45U6cF zE6F(e@_?2e#*dfIwH0dKS+KRBVPsl2lTv|=F->Z_vew_+M?vQ9+S)%ezQx_5V!Vf?&!GVkYGI4L z)hjpwliAEN1!u4K-@T5&nQGm^H=j_fQRRt5{%_umXcWsKXt`jaTDW>soB|Km> zr{U}S++mh4wsde*im+}|umX~YVYu*lgtB^E&Do#eLY!EdZ`~M2avR5;i`0Z(_h70F4Y{>#$CxaIA z2zROMcOJecB#e$+?IhsN)U&Vk3-j@x5QxWf;Uv`)oz2h?Kf{vnCN%I_rr-b;381uv zkTzrWbWzgx&APma&5}RA_jsMBR|GNg#&YW>2!+ zLE%a1wZ1X?)_^2{;u!?4t%1ktAT*ii7p=$g8M?ewv~J8*bHtl}T+T4DiD}~-vfYiB zh~YQN7jO`8)j40}KC$ar_@vuE&B z&0>wmJVjI(g={9G6pEq1O<-mqsYO;=7ng zYELNWG%g^j(UNnl`A3-$AeTNB0qH|#@GBp$Z&24~kvO_uyFP)!w9zH-&P$th9h?}B ztuea~H~Jx1&h5vug*fZ+x;#EIW&wbL=>;xh9TZA=K%>nLk%0E5zrk@|;(Xas(Sa;a zO=D$gHN30X9asdJQwbf0->>VssIA@g`WrjzH zX~*jhZzcRGZBphov*uCLK~_p9Ei6}Y@UE8YoSe12eC1T?RHjgNp zlgb`A4Konb%{Xp>ruP&W*;kS*fGyLL<(tl>`$~b39MQX{;!?rwkLCkh*RJKQ6H=C-m&^&{%Tx^-=)byjUA#dU*kX<`eQ6NU_5uoejq zszrt1BbdbFQB4oeLRGlaZoK*$(r0$Pg>C83YC43eS7|X8vX=GKeVr9=BWT||)9Mt7 zWP~4U{FM170vDDi_BXOiNtO+eaeSBERl4$Je^^naFK6BMLyH5`(4E5Cu)PfHKZB^^ThfS^jMN;1{Nc5y8Gwjsvnqa{FLdU^b+mQ19CF53Lt`6pW`APhO}sxWV1LplvEFl>uG#md%|vtw+hv z(^B|pIjErq)hPlsOyNzoHa0BAmx>Ca2tjeumaHfkf=DSAbv1J4w#zljx8kTqY4b@E z%aCX{O%GGD?#mHeK@w;48x8IHro3nz`PsNgCfWDf=Z*mbS38dsVLsNCf@`Q}@5vvw z^x;%->PZ^J@|5ri-<38#*4K*9C3Hnd+y{g@g=5uRgg`ZoArjJCw_ zI%=Y&d5^f`uxn&b>3w767PeR$B5U5G?x^Ainc-?9ATfyWUAEzNCdTb*1j`OZe(Eiau~N?N5+V+sI2y zzM2Ngytw7}3#gM>=4}hA>Zuwa`WAt&_O5!*gpgrqHTXeoOh79wK}C_<{Agiy++9g% zb}rTR77_vn?914VjM710&45WqS6gYYRu3QgyzAY+%(M}ZK3cAca8<+Aa)n7Z6wh!F zYNC4e5LT zgtIj5*{w*_?z#G?LP7yA%+nqm8}mSSuUzFPzk2(i0kN8I`M?H_dlHb`57`Dx6Aed| zEGSxS;A*^xtzo}gYLzX}Zr9|)Cim!1UzzrLI#$25l?lSHvZNme?5?M50F%G8iVPWB z+AG-9H*^aH3X};|*aW7KjV`Lw^KBKg?`Pzc*};O%jAM|m+6Fb@EvZ@T7=RK*DzqUU zu~~UYb8WeKK^M)RLxaWnNjCJ$Wp0HlXV@{lC)YZ|&er5s-{CDPV+n%;rFs^F>F$Np zFm5`eV}Ihyl4luqj~(|q$%0*q5CeU^J&+w&9M8$flIJxn;i$lMrxtNl#9jA5wcA(? zGxwXLj@oq!-3WwmjpXH0Y{+STs*t;_#+Jn;PNMI66|cT}ALU_zdhKjp7rsY)Z|0iy zMKQ5NTH@qV^7u$PC60v!j^eC169kxziOKtAd6hx%z<6xR4ix0FA=m4}j5aKA33L|? zT^e^JA_&*tv)PdztIRq5c9>r*KIK^R1#o#>Q1PdgSzZ!J<=qbG%$x*whWtkg_@Yqw zLU~Kbn`Dh0aG_?+zqs%sF~~o|gIzm>d_-tWzI56U%%G@GZFrW|uLnSxpEML4jY;oDUS| z2t3xa6A#8GM!{3R<sREcgflMfyO=9|q7nsbH2kjzw3L0MB6> zTs{5Kg&1hMecbhGMKV0WNYvL7yKYZUNYxeH@rd!s#_X1%C_6kVa5q2oLWGT|V%1yK z+8NQ{7SZ-(=RS~as3cgi!N94B4?0y-<9SykVER@GY5(z1-p^C zI?{fJMefUh!=Yt4RjazU@94fznvLkc92m=wJk=KQN}&GZ6y5qXcegC&bGHU@hsB6W zl^0FHIwq^S9u{pr=Naqa#F}4+QAQLjCggflk+=w{%hN7fp^wurBJ=Rx#DD)UgrSJ-O0;gv`W{U@lIb`z=U$ws0~SUcyOC<6K$>re+> zb=^V`d`_2zVvm_QG)5*`>n|<*Ni18~UDJz!n{gBPdNk7|Hkz&QJS@&zOU=luH?LS1 zos8t$MvoB8mnBcGq2Am|ckQ9iOq|01rK!+KQllOWYVXP+buctrHqf$E-_@vpFy@;F zg2s%_nN-sOy%r80vyO%`H}SI&(-qEa&kUycXv`J4MMBzQ>V$dr8v9C-NvFeFmj6Tq zmh;>kox}Cy(Kpg)SxZ@7G{Y>uF4M6~wFJDJz{OX3FJ1A#@kGcV9sIhhJvreB z-7`1f>97+umz|6JaOh#(n#(luP(u+#|(S92OI$OkB^Mamjq61En1Ed zl1;&>r2FR-OT?L@xxB7WT=%YMdS^?>d$SIP^?ZvjE+W>$Hp_I&)Ud{fNDu;3!OZu# z6a}ae;wUeM<6VktYk+REThW*aHUc-*`EjcC*@rY1xa)#CcJlHas z2&eOdyOvxE`P9wji8#IM)m3i2VkWqAHG%_^|74{HXC4*!t%7;?7Pg-euUmV{$v-Aj zb^Iu#aD<`Gqy@hz8V^m7LgyA5!TObHh_R$M3OU1fp~U0i=6AxbYk7uLJn3i z=n#RgYXX{k&-}de-7?LxR-D;$wLRO2Q;f(+DH^a=r$_|xpxOI}Zno}7Yc zE;j`un71sSC+RMzf52Sf#$cws4Ud|SM{}W{`^XSyHZPU5WSR%Wgm_rwl7^bRgS(+3 zgc*G>qx?sZwqyay5|5r_js3YH%X&`^@d(D2xb%*MIUpl;(TEtn=gP=o{jKeOZUDkP z%~Hmr`f;Ciup6H_@;6NJJ7kh^OiEsJ{Gq?qz!y(K%6)q0Bj;~`^b{|yFcs)*^CkzV z9)G^*j;XNWDn15`V(MuFSlMGK4O-&xj0i_f4uhX(MG3!5{F1e=45vn7 z+fNS@MzdIJ`0^*dhTs87cZ<#~yIwt96JqduwLl!V4GIQ-M54-6yn2+70#2msHVu7U z;Cu8pZ(OxhzNdq|_A9I!_ZM>Z`@4mzaod>8skD1GDrXi)X~fI+Ba%0N9;Jat!oX0L zfrW^vF>HGT;cLWit|$O2E!ors_-s93>}9iC%+<7XUv3p;BY%oGZ@c!Q6mDA>WNWUu#x335BL@bL1t;bu`At>@Q^PZ9?gN|3Fdh;sWwh zUt9tFttru77d53jP@0{!^B|cB%fL^HLG~gN2%4e^f4CX~)?pcW?*p<6p(5&FnX5|k zmfoVWHnx$?tt6iXi)m%HWjp$<*rP=BMudQzl%hcDH~Ko@%ciP$?c>Qbtn2aU0;_b-pR@;nVUFjCX0jrS) zuB_hon?j2=>-6?5BQx62WfS|%xfVX46kg=4iROVWajm>O8KkRvukeJEWY|!aOFG!@ z*&ZtjCKm%Onqh|E;n(OJCGhJjTWeDrsgD^<(D$6tGS_Cf4U2u=L7hSMXJ|?5 z)#fLi9Hq$W3W<2Tm@`L{O{FVF)r);e-2#XYSC_%4%@x0JO}vcG$pB2TA1A)JmxUBZ z{!Y>ODhHK=gl&^{I>V=KtZ|A^UmkFrdfgig$B}i6L?RSFte?Zg!=Bdx2a#xl7tVaK zGtM^t_EH4o*^fX`@6-9Z-BOx1|1QwdJolB_v1Q@Ru*6jS>n=!2Y+*2LYHZ`$@=#@*4}>} z0u7d{-AKV_X#na5e~yB|BrswEoDA@DF(9s{`$bL|_9SqLXFHHq#b6JoUXX%8X@!e8 zoB8QHHSqQBk4$DiWLg1c-DBEATc!r?yXLMY&1??gZ08Z<@v4|3Fp+2>GQA9TseG?_ z0-jlbka94kB2ShW1VxBcKD%X<3s7G@qIt5>z?Tr#$Gt-~U3EPY*pg){EJE30$4yB9!C3$kzBc@V&#-Z2Itq z=G(051zkGdW;P6Mp0(x7P~2=yp|!7{A|03Y$jCT_?P5D*TIwonaoMBC-(`Y(n0V4jARRo4Rmk*^=`O$}rvXu8+ptHXnMMD^LiR&AeSZ>>9^qn!n4Z{wES z<|S6=3b|-lad!60mIFyM&lPb(3U>uB0*nMwn%W}8awQN;uSbR1=)ARpyG3;hKLSv9Nu6jTr1FL8SE=fW(|#yau*z=$z0_KV zsW*Uv@Dd1M#$B8G20Kw^{<(xEvXZ#_XWgANDv13F^N;-#-5HjUt^`()BGc)> zPkY?3$~rY|;cKZxn7h`!OZ^F9+aY5H%Su37>)e!8C;rk|;Dcb`c1i(i=YJ)UhMh-EUoUi?LKj=<=0prmyBQl zI~A2)s43qc<&IsKGw=g``*%4uIVg6rvc6f{x=sSL1>Bj$0&FS)b~s~NkR~OW_{k2~ zw!=dmF`BAn_V7M%n#Y(YRwwh8;fJHmxeceTbjYx&CY0>1Gb<}csLMfgO^S84h)^Zi zteq6`qRKrtycZO!(=PY*g<0T~aPI^2|97Jz24Q-~^E<`Rh`-sK5jP-_RG^7fK8-Zptuq7zE$d$;Pj-0o+)UW zVj1^cpi{%~bYVkQzz+^)&2L)A{Zpo0+1PY)uP|#u?mf=`1tMtSmv2OnEi|SzJcy&m z5gNNfjgn?2wz}bl(epItYTmG1LkGsq+xdRQ9bZ~luo5~V~tW9QJ7AblvBPi9a_378?vHlG3J?V74K;mD7t#>l(t2Et~O9s3(Is^+K) z$NC?E%XD2xE4mtHOP0m)d!9Qu#i-1(x}E8gb=|&4Rh6l{<7PxoL&TW2qe`3mWn#>7 z4ln>YK*qn(9D-9KnI5F=ml1dr?W?z2Kv}-YKCpO{Z^}r%SvYd@2E;5jA>0MrrPu?b zNw+is4aGf1;IOFg#OVF43^xJOeP8zojA|oA5%+MgTcQ6h1!J--iAdyZ+?&cK4D`wc zvmryK{63^^{z8x|RXD==PFk z;c_+pXb}>A=*EL0?m(>S146~dNqnV$Fb$K$()@DT5{4QWMCFSTGxd9{HvfnTHV&u| zIHml%6MoO~lI4vMzo>?DUga+13yJ1gI`Ktr02frYj_wb}^7s63VvlDXA1V|bljZ)_ zhOE^g0W=zk0&nx4So;~y?3lFzxRhdMX!2`Fp^}(L+UF3059l~D+~wlIy9V`)XiX9j2QQ~M^=`x-^NavHbC-vJhYOG~y(a*`4 z!?C>_>q$f(d@&Tn@4mE^hnbCXjUxm}C^% zf`zg5d+M>_BcgTBFW`Do*+dB(zup@tv;}^KBN!|5yLguK&fKa#OY8iOgB&by1UmG` z0s<`WlsU1nZQ{I`VsMhZPpuxdN*0Aj4Cgs0#(rS{P8q(0nw#6KuSf_ut@6@$zhv1! zVg^4IC*)orLdbw4EBeq(y~`Na;NZNtci5m0?ouoB{DJ)dx%S#$P<1-Llst4%w#=h783n|$Yh!~pKH78wX3=32QWj_ilSM$J3OF^DJzXH28jFP&PytKtGp~< zrFpmRX2we-&ML-Yh$C(n`D+8#3rJuM@i1FY4|wJES<^PK4qwFs@?^EKmkg@*mJTl% zdGCUq2NhCoYD2I~5QR@mM4BCmya(MG=W? zB6zj<+FF`06qqor3^Rw@C5Lhq)4Fsvuyq-E``r-kj?W)jgAUgz@4!uyj8!m; z8s|f^bc`}%E{(iH%y$yu0pu=7;yB_)nfsd4ei%63+`&rL%M9QBJ-EF|;=9?Lij!5C z;qL-4IRGfsT$f6@cws;}q<_6a-bJ+yvVnvp7qNv&ZLgzH8=rg{unP@tFpfp*G8ijb z1UkWs3cE_FhvTd^DUGSvFnIJ-5Wvw1lLco_w%^)JmRbGX5F->Xf5>$FXl6CCpiCIG z5G4&zUM`}Nw=JZQ)K$dp*F%lwLLU%;VQA?y96bXBz!_I)pZ+2)^99E)3rXcf)0A1V>k*Qi)}Eeuo)H)q=!CO z7h=Z`MQwBCgbE)1X~w>6tTVn)kA!~YW$`GM){7`(?jzqbf0qJY#nP`-Z}HB_go%Gz z&)~~rre~hzbzt=;NECD!`J>N4$E*v(p)~FMBk-DyqVa{Q=CS%18o*9#atwOS9>fl6 z3W~jrPfRfq$4h%Cf$9t-f2VIfN2~)#wGXfVNY+~>*!-dbl zW*9nA38I}@S-N)vR}7HCOHND`g4U>>GxY)0#e+MeCKCFpawsx&LX;Cb@bX{74Zy*t>eyW_71NYYvi5mnY*s8!4kvFEUjCsQt#AgP26070zgo~8n zUl(kAsXC3UYu$hG(1OCzNnDHbWXuf7+Ti7L8BnmAT0~AMn>JD6|AwFt#o^*&4{jC_ zo-<_4IY6KjE>33wkG9oKKss1-I^7Sa7;qn6t0Xd*wfOHZtg?WKm1AZHpuyPMkOxc~ z7uaJED}*%|x#rt{RWVrzDLH_lAQcJY-QUB^yQGm#ln+^n`g@w|_Z|(e1XLSCWzA!f z+(}Sx37~Fzajl0N3hyd77OMM-(`h!3_HjdO`t326#;gSG^SWFQlQ?}p6|J9Fm2~08 z1@-z6!*G+ewYB;)hIPz(7UN#204X!uEzcc6%+axtk;Nyp8^YYU=el-8^FEne+@65i zD{OG_aAZV9d?sa7-&yyKb;Lug2rEM%&3&o-8`)_Ye(}}kYQXZyO<$nQs8*I{rXeXM z=ZavQR81qI8)j1qf&RmjhP(qB3&pynbo)qc5zumz#JLN(#Mw)0Ksb@R)~Gxx^+`Mv zxJ7v`?~Yz8vr|nu4;fp}JG@l0$F=M9+om0B!&_x;rL=}G8%?I9cR$)e8rujyf^v`evW1t}eO1bcSTbZ#DL{!ZK(kNt7Zt|k{+`}xLsZ+Z%9!uBv zl!Z9^FyHR(s>|Zy+hId#H>u(k=?>9k#!<_8&rU`;I^O)K91r7M96WbXoN87h*IygY zG6{&W2*FMa%@6^NMKZN!X!;BX6*w_B;BI>yW)^+o1{R9Hf~xUeoFvbzhQ1~xCn2Ce zE!CDNS<6_vDVd#zFhn-NU9EBs)x#kq6|m*Hd8HIMRT4cV3QoWbMr`7w9T7+Vy0bo z6b$GxPuUFSVCi=OE*{SDgIHShL*&*#{g^Q#+MvcipiZ&q)?F)L*;aQkRx`{{hPLl8 znt@rh-@`N92698Q+W*_EuF`UCpW;Ypm7cf*GP-X8CXfBXz|ZF0Cg*Ce=ENbuwPQiy z8~*_OPFeJ>yKZ9<1`MQhIf?E>@PL*LjXaRS)Z^ga?2qzPf4sC8d=w%4Lf58RfPb`` zoc)elnUq+uPNB|C7A%O%ES(#{N{W(zgpHZ)Rq!SrweZtoan;NbJ7Ip7)#UR}H{rKAk?u5JzrSK&)Pd))5;Kj%>fZ4yRxco(a z^Y1t#wTtwvNKub}VzqY}cHl1A0`@*73yP0Ps^u14$;MxApI9$vPk*VD%F|bZ^pHh~ zoW7t8ZaM$RUk(xyo5impY{-m_{@mU^OYTZYD_Z2&=QOEfV=V^LqhNLZD?3q_guT+|i=Gt5NdzS}6l0KLI zgRr(Wx;Iu013@rgufU(xDgX<&q1@qv38F))i9Z4>YHwx+gQ40fN7l}U501FP9qG4^ zTGGbEJ~ny9`{+FAp9!(%&U8ss{-zMGMKeZE9NsP(rCBjA5VI_lGS|WO&2Zpf{&iyn zyF=%oh$>U@IKr|cmpmacXYT~J%xe~2;Zt4t!KybzDuH!l8KWWL^XXt{EW=T9LaRn5 zUCk`u?x4DS}VUCY>II73Ucv%;s zoVwU>ir`%~Q25>f3e3XjJo{ceZ`3axmo^>e(^|-~U!wVmW8%Gks3ji|G!k0=DU^1q zlXetnPKovwFCS3Ge;lTS%ZuHi#uq&Vr0{rBqQ$C1M&^PQu*$erZ%**^`Tq4A zez`FDEb^MdwUDj3Tx4Eojz>tA>x(Yj+f@^9LTT5f1uqMt%#%*?lKnj2JBrpgD%Cg! zBfwB%?MGiSE#MaVRUdDCrFE+qjADJQF?9IQSbb%*o@B^Cf+~Nv0#6QwG zMoFKL*H}pT~wUNlJX*~gkcy;7%I)IyT$4nnYmN25j;1p^2 zE&|9%SWyg$ELILe-;fk`h`?=xMRUNPf+T<}nJ%|*)K$@E^GB#Eyp8C<8qotruWj9z zaX%Nc_N5iYIf^I0r=I}?R_Kcbyz6Z+g1!4~?D%c&2XuT6>}TuDTVorf#iVAXB_tX#CTvBU za}U$6pNSbwx|+x13V^tU%B_pzZ;MR07zvETD=C6{0s0eQhH03p`kvY{*ACrfkrXNt z&6qFclYRLfM|0Jer_BT&1vn3#SdJ91>4vzFJ=&zFPKs%PC#G@J=8x?4;Nt zxaKew<=%vTu_&^)-i|PtP^)18k9T5TS6lec9`_5F{$vT`n=(ouaS z41GH~2WL6&EJE|#{7akTlJsS^?CXqagZj{wCTeVALKC$>Ro_9Yr(fK_ z(Drw!r)DsL%;fChZF?r5FNrZO!#^H#|I6`R^aCTDt#W%ElG1U`KHe@~SFy;${{D_F!KtpSug zZ)8!l{ZJ_;B4bB(W2>0#VeYgbw&`t!MTS`+AE|yE{t`iu#M1>8*WT$)HztAKV&rS~dzq$RZe`V^DY< z&j$Td#PcgVh@henY%l zz+3S(KII^A{F9a5d2)hDm)%&j9I@_3gelj>|Gwu3;>I?FILTyxiVV}Ku(&iFH@&*c zuB@&m)gpWAW^zc3o0xIbZiwCOv6+{Cp)NesEQ+R@X~Oe&u`s;Ntg}n1>1+Pur-vuJ5{0j8n8jUPiZ8QsT_A`z^Y;k-8i>j@y#RF&8 z)O;s_ElpzchsBpSoZV`iHdi0VgX9s2RUm4!qhTdB6t_FQu%3Y`Ds(V_Ex8k`=0nM%m8 zD;kbrEtyK6DLX;<@dza-TOn;-Tf{F^Q z!J^Dk2(%jExxnpp(dlXG{{MeX`%JZOnTl2IL6QjRDZ&DJ3ql(he3ux>)KHjvmBmFf z|H7MJs?angGT{G}=%NWQKIh4uXtNXg+gUEo8w+(2SQh?0;P?ONKDvk_j(|#F5R)h1 zucm2#pH#ys4-4B2aQ3)OK5NqG1_>a_+zJJXkH~77BP@t!=u(tIgXB5aFateEIm8Y3 zDxybeCa%%aJspMNQ|S0!Swg|K&@9VXG5dv-a%};%024ys8LTlyv62p%@bAruk3UjV z>r)KcB)`n&n;(2^Ed$E!Kc&@nRX8;79;F$ZWBRGf84DCXyOFa;)a?qb*l1r;DKNoA zt3YUU)Iqc(aCEt58pP@+eY`4(GRWZIE~>~yf|IWGRY&G~M)feKtXT#Skx>72FidJb zUlb50W7~QzUqlMmn}}N&ZIW z=})TxXGSbPG-7T&SvQ2?aDA6E7-=|RUZjXVI3)zfwfgu2^pa+BEI>*$W96Q-cYa)M z>cl4~R2K11u}4_EqZY9Bw@F!nyLjbaX&@*=f#i0ID6n@w7)Q}2&?7$0hhdQJsRQ}k zdAe_iJWZCrgQ&{^>Ii`5Ulf|paOHK?8_3-YBzgVob@nj7wWfA>Mz+P3^?fRCurE2J z*KtpVQBLs9j5VYaY@C}FQ*n*!biB!4z`@5eA9Kea6wpq**`D+h@jkprHIr|M95W^z zCh~u%8(0D#FjYweF|`O3hS2n|lz9CMg-!(mASL@Gz*Q1T))D~-)@q>zX?X)qT%-2O z;-BtwaheKMSG1jo6@5a61|b&PjhY{na_qRb25~6f|R|j_Y zo`us8t?Yt;9J=p~eFPKL_Wo{1!{n6x3W{x+NJA(-@N@omaHr13nMXf-5`kOhwf0H$ z^2Iejoh$6%rp&RLmCp_mwmG`uSxrd%dKq2peDQ4YPfAsM8G6tHP~^X=pPuLb1>o*q>22Y3?fx^V{2+X zv7XmWs?VA%zm_MMthQfHof9_Q#-dC{Z~I-6%Raq5`X5XE?l+0dE5owy^KSAhp|kJB zi(9Ql6(j;bIkn>Qk$1b}gvIzn!P;cv8><)lLCXQ%#H&Lx?_?9iKU?kqZ)mYbNThIT zG?Z6En1hdXOs8_tOD$jD>)~^RMC`ajRF`H7GPjs?4>{aP(1PPRY% zuUoSsF2FRy>v-SSlcod1XZGjBFkC~Jcr5sOxF7%{1}ldq=?Mt2TBP2jP7F)UV!PUv z7Nsb3Bz|xXLToyP%$b73ea_z`!*p(%!^Q-;eJ4ncCCjnRQBZHakc*qNYLz|X;s+bF zRGYV(_&iuEu&r!yv}^Sy5(?DmFVnzxjfy9YryoU-qJW&~m^y5!DASGYE?5`_wJSDPGy;;v_p}Zld~3@PcR-6yAzKZ}f7`;hM!z^LjYIk6cN^}|ueeNPKNmZi ztlgxnZa1TPM!wDy(qdu#I(!n{_)fa2jx|Ye4GrY6`&WeX=;}csor2Nn^vQ;|qhtC{ zN+*rIb^oV09ZoKaphlXBBLGc$6fW)yFm{hS8dnW{^NJTgK3C6xTBJMsn@H1bPa_a; zK>ZcDJ7Z#H9J&Kjs$aGTEW(#vI$uHBLzX6_M_0$ySN2eVE4x;#45Lh^89WkjPuFG6 zan=q&^4_~fL~sI8WOy`sC{hy<{BQS5)*C2tzJ$>4T>{ApR-yBwZD-;XX(al|%$J0F zRM-Nn!ul2&3r7>LTbKCxaxXZp=b(eo(wE+nkZKSkt!#oR1>%d&y^8?$kB_IdVn-PBXB?)af$I8Ofn|f&&x0Ki6Gaj72_9mc}2{PCzer%6fjE;p-o?- zc6I%S_Fl<*JkT{vV~^%cA~}x${YK&C$x$ves%U~G0|oUK{-fQvN0#-QqJ%qvlwo3T z;q!+bg+IfYSAcHVw@9pYvW4$-b)HKn=lym91*H9VL15&oPw8k1_>8~Kc;(>r?`&tp zCP>efh0BEd_s&Zlzt$Jz5iGg;zM^5RI@xwr>zgZE-Zx`G`m5Q7RxkE+EKO3hWBdq% zdFbPSL`v!1d)00@O{{vj;~Vt$w-D~}c90()RS(==fz7OWXLdMuc?c~^uM>r;+hf~! zv}71~RQDxb6BzdVuO+mz&k`9jWv=sY{MWI-_OZbYg4`J1CY96bJ^tW*!Pju_@e%xC~<6c3)} zL*n%x9Td^N$sM*Wy_1ikiM4BwvvJ`&2Twv+kU8Xr}?p(K5LCWzLB1Xs4F#K0H!UAzYV0jCVOhz?7pZX6ENIFj=7-! zUa1?CnU&JUtf{sm6W@E8AHzl%JM`bK5ugS7C?LzzG;443#S;Uy?wlG;#>B$;evKVP zwUdVCZsv#2uY80^4rX58y|h~mZ7fdV9eo(MLbV7eb9-NeaKF#h#Z6T{zD?(8J=*v3|#G?dC&%yrwC~mr3_i7Xzrc%IB2)mI{_uq{o}_v z*3J4XrjQ(2&zq5{+QhH%`I!JxF99^eE=J>OS|Ofl@8V|w@u68`5%=ve{JWuHy(rq%V|?qsOcoCiR`P0LY;k3lHFxd zbn+%wG5guU;Ek%*MaYW=Zvm22wX-j$Z>BhY2Sh&2ybmS%t?d@!gkw{j3KPdFya~f z;2H;&E&@3Etz4F)cTb)(b_x(=XZ{`+utc<-Lpmwc_}ZD%!CXJfd4txyCEuA*-~Dt7 z6x5moRK|QbfaKwxM(&WW&?p#ns8qPuxmfOMuTGbQCsIB%&8Vj8O7oYJ@)JX6<2-Ka z(Xdq0EVe!y80Mu6!o6yG{}b$xTh6I3U>Rx7aUym0gb9}kXBT0uM7 zWY}vyDI&$RZfOjXq(@@W{{^9&Y`U7(eLg71Hn!Tf4&r6ZFPymVEp_!dxRuN9ruuft zQi)uW>=atvc%mm}zh0;vv%jadb(zqI?6F#;A|B$}j1|vt=Un79rX|$QTVlm>`;L#5 zworusK)&j-PmoB7LiOPO)bc)QFaw(IcYT*Gw;r!{QY}MPg%Uy+O#dx)O^};AB=eM8 zxIC+kPgb?dChN1|f0b4pLx*cJrJYb+PBK`1yeO3{ctSYV`qslsQZCaWqm{gUCBJq@ zRTM%k?jafZrH>40+wy1vONQFqr4l7>F8l^Z3l;Dz>ic*{QBw)jNRip z=KV3pUu9;e{?*%k05~~^iT^X8Y3{s}91Wh$mv-`wF8Fi=Zx*G|HqUWXYgqkpm{MbL z3QWmWZRr9DO@Q(D*N2E?aQr={nfD>&>t~j;E9p-^dtq{r7niMwsFtFuS^@T| zcQ19gRYwr+j@wrU2e=(klU#H5uJR>6&f?LuCI%&{omak;zz2qAbF2wHjG#57;|N>x zd}(-AwTP8%+B5$cCSsA;)i;yfw?o6&ANx1w=rPFD1i2!TS_D`5REQE?Hqu1jTxCc> zq}#C|jKAQQ>DxOX`S(P-)|<-_j;=Tb$q_IrB^2!(tHOi?gNx0%AXg0Pg=LlUvXqIC z?OxGz5W!wtGKiD$N?=g19&FZBW)(oI0kI?(_Xug4-fb< zZKVjHL5D7u?qOrCuT{CjX)72)6K&esEzqWs8w|z?C`$k+hbu7bs)~{kln?Rk2|)aW zR>*48TofQbd5WQG@6#h8QbYSzF>K-W)0X9tuwly^olhb%>E;Rjp6IV)%ADVv+>~c3I;pbW)CeI13|BU11H1!VH*6AP(3>P$Rz1ks zeD`>_mSzo)r*WkMvMBE7uboh0KgM6)T;11gX4+Z={gsK;s-eNJEIIkV#NDo1o4k@VeUIVXu zg%d=KB#SvlB`r!31}Ym_`u!nZETkQ$jf;IghgKWJlNgZQhgcZ{w!|VkyvOr9wom>U zu=H63t%Xx`X~1bz2+YAMnvWm5-ro!Gt=lO#p0(bYKluHQa!Aud^DA_l50YD@FZyBu z^>MGCgX2u+b}&VZeuH(xM`V?Wfz~{!ofXi#!Hj}ze}F6GZDgcp%kjZ43|ag)Ut$qp zH#J1M1ITkA#YF1W9W^koE)R)tJgtd}=IDx&R zIC|6Rkhvd%toKOLw|{Is`tVEsf>az*#;d%QuSiw#xK~W{Sx?y=H70wo)Z&adfXeJ7 zEe4NL*9a`*79Uon=;KA8F>)5_r(z)4$xrDJJU9Gf1z=iP#XsiYheX_#bfRjEuoJ{g z75aW9za1ed;Cs|^y_?FnO*FF$%fFZr5&-_*FJc_2VtZk-fAS+gl~q`B=;|P?N}_t^ z=6HMj@-MyKnwLr%B+Q$uy@;P=AQP424{HDRlWZ&}yG1$hHX;&-z+`S;y70|RPgfcl zYUb;?&9cIC#00NBtOs~R+m&VVr!5{Lzj}X8q8$Gi-ra#r(`Cy=`J@;|b{zr`9`M5l zxD4!gPWPP8OHc49JQR{EQ#rrSRw}=`@&MqG8clQ>hgV4m-}8@yN84LN;o19{HJSPH z!ZJNl{}$(neSI*p*Ls8%(^FW@k0tdM+2np+S*lHZfTP{pt@gLCQ8u#A!qF0RHU18L zwG7X+HN%DR@c3Y+y?eV-77LLtWw7~p(ZaSru&6b|BTRRkJzuYG61B}Dpk$^t7j0OX zMTp-DN)8LZLu|Alu!&ZK4FLOK&X^&V>b^r0P+6)=60@A57%#YXX~0j@W=zv|aaHcf zfpS^G76CV2a zlZrZ4O2KAk=J7_KP)}MhMX8d5p2zO6< zYkKIuw6)Wl^67317dH@s3?)buTrSKxM+q1G#7T(+P>AV(D(_@xWFPvF7r7%U;8tfb;StpCbh@Cy1{g`q*i# zM9dD~=&NvOe?>R%RInym*!-1kc(fR~zoYZ|+1y@sQxE~rV(?*}`1rNK^O`en@mC*F zZ)O+B(;?iA`;_W1Nr$DLU9bg3J^eLiJ64E!&iQ34HnA94C_Z8;_=jq&BU;zl7a9R2 z$|zx~yK0dY-so(Q$8X3*O~r^s-pdA-C7hi&CstF&&r$mrMy+ojnH`vG^qc4DU&Jwm z;3yhs>2*S$Seq^az&4Xmw!O_LY_F| zQV4hEA^6@@7|5e-J=wK!3bDO?Q;(86l;xkuWS^*WN4SlkAhpvU(5f+IW-Nnx-~@lv zENsi8WQ6+QU=LQ!Vf0-K6~ty)1%6XJaYn%BJwqu5c>gqT@r9G!`J-ikge#J6 z=Jq|u)>;MM>lD|*6QPk+IGPyl_)%nnz!^O~YgLvG&#ghABi>{oVlTW5rxsq+LHn81 zHN0f&IR{B&&K(eZDv=fO@bJB_P>l-`y5|ls$NsI7G_!1(o%{$0G?6Q=#-S01Fc*Yu z>NOb@!LTi^FWXVCgys6;J_>5mBNEw~5G$?b?=GOlG)!(Q%?b-e8W(+EwXMYYf>H|(I1WHKXP36x5Ckd$y&_l zOP7c(x9cAKBZ=lPUkL*}N6eC6pLpkY(=l>n1C=lai_zKpLYS&dW+8PtA72tL{sF*u zu69i{;=LWGuADK^9XskGNkv3&GlSP83Q~&Wgm1y%#po1?af$pum42J`H!d2Fa$gIf z3-BtIK(L}i)n@3J4h=2_WVTnQCOdYtQYiF1EW#QF%~1x+E88VYQQ5{ecKwfZ{n_n> zO{cMihyiBueRd1a^p>q0eUMDz?(hYfTGL8FZs6@TKagzj)3**uIH3Oqejo8iny3yIxjz;(ci2-{ww}vRS{S#>c-wTOtsHO<=a_V~oABRzRCoAFP~v{u zhv%^6mF6p#h_4s}fjSk)N~txSwN+W?0ydPc77j^fo(L$)5PH!mKt)MD4tHCQS@{rU zIR=Y-3g_d#);deX`l!E1sj-24jfkT0f|_g5?xB4Tn;J8}Hq_nSqKmJr!>@-8E$VKW zr_z}Mf(RAAi}lnJ_*nI+yk|`2ZN!Z;v;TW+lq$_5%&t=7VcXq#&b^%D%8dg4&}nke z??H=JxW9bz_`%;B&HU8Ne8>#dbQs5`CoGVoCB4Tbk7xWtWcYhk>Ak;C5A>|(r&3yw zxo9md&X74>fpU2EP?4b8Iqs498Gg6R7@Y7`ZqhAHQlu*kopRGS|J*x&t?~RSEseFJJj8E38Em z8H@#78g8yX;(?o#PJ0c6yvy^k`N|LEAU6jivivJ`)FL1$Udh15ZU88_k1o^|Mhp_U zbxn-N%J+2G0y3y?kO1YnW9N@B6jIWQ(maD~G>5e2f6vPW7+@15_Cjy+CWu z7x@uhxZ-0go~0F`xplUYeEd5W&EG4f`*RuCagMjcDnO_)b4e9vy}W%n=`O~3L5%bN zDm5}}F2_FB}t+*?$>Gf}w6zs`QbMr$unOW*4-QnO91ifdjhz1vH zBZyPW=ov)xf}TGxy@dIdNEHJ=F`bj5yae5xOqPt|@+b@Q8W<)eTzE(U$p$CxJlC>@ ze^6b^006~bHhT@DW4!b{mM>lBn`!w*({#YmOhLjMW~;oxP?MXZ-be1Eoo-0*f-;?-YEIIS0=sBcn$xnE{d>FLpAMEi-ku{T?f`MvmrrQ^Z@WJILL?^D zdQ`|}s2G27;*0;ER=uaZy!-qqgR+%Hs-}VC(o;S|R7wOa=0Rxi9M4^Xh4Zp3y1$&~ zLfRQ3!dsltnI@@5#+{V;%%2LwHp;RRi(X7kDQjNZgqPNBthw{i*2Y8RdBY}4v)>c% zu78!9WUYWMu~TQm5EJ;JAEaLruOGW zEItS{G1h`&F#r~eW7@4tFxB#WdLiE_>X^7ZRGAs!d*LI%o0V7nyqN*$o(J*TmmvHW z>oGYY!%8_&w#bkFHb}egnb#b+rHM``O^ByEU~k_GMKSy>0g~3puPi(}N+w)5?(@5K zRZi56l32C&Mof4wU_=_Ji>E*IZAB6Z3!&* zI@YqE-EawiU3EJho*&YTSaB}BoupXnJCgu-c4}R1s8FsH$QFrKP8UI@UYVBpOdNRG zANZk8Q`*LMYcSMRm&DW|r;0!BgIpvOSm)ykZn@$FLu)0TvfQmSC|xj90$0?o2oc!V zl7a`wpZa-EHWX?0oyVFeb^EIXhHZ&kX~*GgDt`RaopY8zH4~!hR37Q6EXe!zs1j51 zdCyc*NU33rw@7DPDJ;nD(m-3RN|F|;ULBnoWR@Ep3A7y0<+UId-S*9fd*LM3x)-uNEYaLU z43+vlm;E8c#VSV*kk#HLt;|#VO#`3}rpw7`zEd!_jVwKYk5LRQKTYH=n<*xs`Pt7k zK+XG;ew~ZGqGLjG18GHnq-hX)ti;p?#~9>UPs~p`D#+NCX3c*P2wxpKcSM~D^t7(7 zu8AIUl(mhTpKRwvW(YyLW&9+nB#)3ABI9=+#Qvga;#Ur5!?4eZ~@lpBl$58l0XeQ%$G`uXr zTpq$kYm%AWs!EN$yP_DoDQ-Cy_mb>5V*Hd>nNrwtxT#cv;L!45S&jW{LRKtkzV&>k zvL8=T0?Uj(4@{M}NWCX*rqJQ!_FUK!`y|#42PVi|pTSs+?bcnF zw(k_~)LWVvCuKm|kH>E&7RQ-6UBv)QDixX-7f;o{Ja zwsWrMbV?m3ukSZ~YnTR-CiG&C!@l=po3#gRUioiJx$-vL*qtm5;1HO|?UAv%*WB4v z=A%4a=5H8Zcq}d~f#q@Q&Y(eBI_jag#H<0uYq`ZaovL+9hiauD5~T5kY9KqzMFtp= z@s;)I#Sk%|&)Dtin@FQe#g-18RAJNh*mHdE@`ndt`Ft)p`o^^V?5Ey2lBoKURoMLm z@4#yh;@=q3VLT=_>ho+0>%kqEKK!b`3;=!`7E&p8ysyeR2gRuYgb4eEH_B$mp!G=u z(v-r-(Kv$YVVJ5stvSU8&ATcMjGK(4tc*gkx+4Fw3H!+vtK3yO!QWRKihAp=T-|B8 z`A)R(Pb6trAJsZ-ng%M31_-`O0{}M()~{H78EMX&UhGmStO&F3R_K)|!!(y}Stux2 ziHU$2+}xQ@sq6N8Gw6IHY-`x9r)5o0M}I51+@NR%Z2|u)C!o{hz@ZFXYjSli#Fw1d+N#xDy#v0CJx?XzT#BfV!Q7 zl^m1XVBfob@j+MS*q1L(=M)xEEdy}tEs7mc;D~IORK%?ig7gj5B^_PY9JdyR$w4wu z^2o$3WXNYu?C-65z|Ia|l@tj+C%17@Q>+la5u?nsO>fKz*BX*ooEKJ6_U|kgqd+YMQ@Ja0%uv`L+!geFj zN(kA`AM^EG?V}l-xUR%s_5PmB2aPk?^x!>u0DFl@e#8+)2o{Sbf<0!xTj)at?}#() zkX)sOB}5f1C$@$1oMtx^gMmk0R#dU6%ax8VzwZY`cUtUXL zp%<0mYx>yYC7|zlZ!uR%iYhlZdx8K1g0C`gu={@mi|MoQ@?p@)^6^|RpX zcaJpJFHaezvISR0o_)!u8F<^c^?WKqom&bAMWhEG;#KCf?(F{pU(};J6}kHJ;8Jbd zY)li0HnPosx0IP+`n4DSqY8fVO3;(UM(}T#M4hYL1|KHK!US5BFEZ3!4Myq$8kJQ2 zvux%wUPemTg0b&3j@(1u+r~oA6)TGEPo10Ox<2-7y@LfUl-79G!@6;U9Vz1b%3B?P zG`htqBl z-3)*6KWHvGv*wz;KAz<}LJsY=mfdebCe+`Kx2|G8&_l+0HmTP`>?UK|qz!sQDlWOSYONy)n4tQqorG#5zV?rkL;Bi%^BF_o(eq=(B!0s>?e3>ltp?hX zCQk}wPF+DT9B_mw5u{&=ypA`Db>{;+O>*Sb{j}$GEJJt@mtT#@HZik85{%%#L7d}m zL-Lcm-;||IywqNrLmDTnp-CkG%|a=gXbtnB0e592BGX&}_5xh+?@pSsK!bcS@~G>F zf~iz2csgtOmmgIggoQq832eS-&ahWY#QN{M10#iSomL7#YiE_PyBf?llv3&GHGwx} zLARAT^}&UVs!r^>pR%CGN^d8&ZX2E;@nNfH4U^Kp8&@k>QIszxjuieFT&0>sdZ~1T zJdW+n-BuBK4k1b>C@ldo$_nfLyHY^gb4#Q;0Yxp5Q#=pUVlv9)xoCL1TJBHU!o4k| zgztFv2J%$Y&_F7p5?DVbR@H{t91UH?ls1XIrq%u(&vM^JKT!$+JbZ4-GRz4QP&B(n{fwIV*LG(^lD9pS^)++mV!jLK$AxUekG+*TTA zR@VxVNOQ4OT`-$lrx0v*Fhs&}J1~Sv;(W2a9aU%c#7W`GZjsAIruB)GkWZ!3&9a%! zL8fa9`)6_st|xZ(vVg(Z?{lmQfjF9v;GM<|^#?buOCyw*4fV4Gw@-APwtgkReDqdJ-=BWXJe5$hrV*|E~@NYyJ!5ts{3kHyUu%8f0u$aD8knN)Z^P-r=5i z5Od5+DxkfM7u~rR9PT;9UA#env`Y1LqSXl$vx$9qC0`agunSM+65Sytm`L4@s}GYG z8ULmkS4&#7M(0XhY>U0>CyA4ucv=scOilI2Un^l>%3*0n06mFnZzh!gfpG3 zq*ZdI<#2k#g0GPN{Ss!q5Xg1|SRMmNmrM}B1CParNskH-NmIaf0yc+fCGEbmc8xx! zGxk9_w$12UGSD$(QbE~&eJYnzfo)-57gJA=)PKkj@=awYiQS*Xd2SyQzTuO$g~l^c z$H6IcXRoR%FwQei#ws77T1DI9#Fs1oMf33qLuVan{K4%-5Q!l+8PUJtHp~#?>=|9d z5ssG<$dIoFY~aJKh!{x=NJS*;M7YT<%xUVH5Dc)$#5m4H|=H43`cf6<* zW7xm=Pum7Z(`;^W(>Kv5&sbQI^En zrBk)_et0`KEwp2K%^xp1i6j@nm99h8dx z2L@~;gc`$Am$kyowf@v8uBec|t<8dsvK0YvM0UgE@mqSX3mdeo&#V z;m`GJ#%#IwgDBN7+L(=enDs0qIPiXbI7dO$asAoup96L0{VkD0LCn3>l0SM^4`RXo6Ubn#$F1}m2THCI;S*3PVLAQOAQ(*tBtf97fRN+RxS-h8j-w~Z0^BqXK zWq4WP12G>%q2%?W8zy7BGyH{>$ddmjWs?P4ySi)AobuhvDf9$h7u6A zBBJ(hNMPa^zTA1{5-axtWnE)%ChgLGVkesoHrB?rZQHhO+qP}nwr$(VCL25Xw$6FC z-m3G>pPts$eNPXn=GND|!NrwiL3}@p79*al`RMU%*F_|Q9cQnz@ zY~yHK*qvpOBz03LZ(S97PP&j0$DkEnre%9AYn0HM(tuS(g@bVyY7&-5I(5_bttYZm zZe}Wnp?F6(;hnyCR_wx%>h*_k=StO zxI!fplIyXz9$YzgHKV^t8zRdjsd(3Z6TJWYWgM;FaV*r~k24#nFXpk55CQ|14Yo^K zN29H&R@1Z4vW4PJ@6_JGZ>{N*GMDz-%Fcoq9*h5Uf~WjQ3>`Jy5lqfLuMESkW?b_f zTGEL0&z81IJQORT*L?v!qr+3;-jvVq*!5Xlb?+!ZIizpb!2LKub=K%KLa)I$9FIvj z<1t{tVH6WETRyuq@_hp%Adh;&)I0+4q~UFY^?I{8={4unY2EZl3E1!DF}M(fBbdws zd+Ha1=?)s0^RP?h0nA-Ig&}n+0b2yS72U>Qcqj5^ur+I0w!1-qd8VL2Z%@-0 zZp&nQQ%jaKddp)3(QwH;*RZ}y@n7cmjYI@uym_AMb)mChZ>a}x?BS&SE&ipTy-m2K zMS8yw3M|~o&q$Wl5f3r7oWi}&jHj2~=i*@YR`{PMjj%H6Y{k0e6aOq9nWu23@owmz zvBWToUV#T>NCe5hc|kl<#U(R9(c9+mnL`xqS&K3Db5|R?CYZ2BlO;xlOFdTP=^!7Fq~RGu2!Bk0z=3?zc~hRq3~el06=SqYwgTZ>=XZyV|x z_$(YD0)vL@jSK7re6hesgWxXA9#)KLh&qBzWw?ub(In|6bn9KQOpdL&oOzj#Sjt8Q zyR%mjbS_shB^7h;CxVu1p?tXz`5(;?&^?kkaaV#I@on1!sX6(3mu-`NTFBZXI|Y_o zn|>$^kZ;_Y1nh-or~|P&zDu4ga89I4VG4~ITozx-CFJ77j~{`#CMV--mI&yql}_-- z5(5KTd~KY+@tNUn`H#++w%WYooRIa*6?Bq|V6KN72m>~HdPb%q>4>uE81LQ4f0f)% zvC0DfRJSS;wS!Rde@F!S;Hzj6;IT%w&elOC3id*(>2(ZXUgEdnGf1jE(vI%HdnlQ_ zQgu#I{^pWReZZIV;1A6592$$Qr05kC?rCEvb1+jBqh1zI14#qRPQX6+7e>UcZ%(;P=5)S3CV}(WN)lFV5$bA%=P9* zYJF{&=HdHs;?+86DA(h`vzCGm_AI`?ow|BfKDX%!OuVg=B}zso_d`tjT`!+o@m%s7jfxFaLxzP9k zZ`FRUvFEiWD|{;7uJB&c5K+a;qrtw(9h(&r$Ojg4*<)y(Fb=22Tw;Vr# zJVM^h6rA6%+>^JX9s zI0ub`)njn>!5As!=fM|X4=%>V-aFav`b;xic0a8zE?QK# z2g%5+LBsF)Rm4KGO#gJExirQS)vUy3dofy8phD(ea70bEES;K|xA4&vsS`>r^t>7%ej{r~0=+M}&ksxWBWQNbo>sk}|kfTM(el z`bA_Pu}8_nu3KYs^b!&ZA^h}a`Jwzo%n{PFLj!%whu#8lgGBipwW6CiC_j2KWoZE7 z(0ntEjJVHIt|8Y~TQdx-dd~=1#+6{h_%c(f+~m{Ix_PXfW>DZ zL41p+44(VkzNV#_g{Boy>=e_ojQe+|6H7hQ6Tdcn$rZrB8cbHY%OsB)BtKJhSvp-_ z`IR6zFZvIi)ZVUB=r&q=N@XW+1_k_*w}97$2B5B<6rhqe-S*mJ&duL+7~hNexC(jb z!_u5RYE2a0cPD%kkWnk7+6A^XmBw&3lf_a6tZ9;way$CN;a?8f&Hdbzjo~$pkrqaV z9Q$S%g3}*}V$4Of5|nlbk|ZnYEU%ZaOM?0)8L-L~C_eV7HJ|J2@iQbgtD4(dqfVgW zFM11`X@9;iD+yjDD0Plf{Vs! zijE^Sj$(lE^$WeE64J$su+~IoQ@k(cDV>Z&D=$IzCs)T_hGe8khNu3|hTF-5d3@XH zwZofQh(2pkdMSH;k!iiol$4sD4B{JK=fAy-H# zOx<3h(9l$jGG^!h(nk0!$#A3n!2x`oLN~O9{B?5b8dqq&h zEBQ#_@p~D&hG>>oGjbioUAIj8?*u(Reoo!vaD)cwCeQg{(@M4^6dM$oj&EGFCu3$S zNX_-z-3!!XSK4qwk`nj+fU!EO4Hr@Wy%Vq>@?5dGbg(e2&KFRT;78_QMXax+HN1rE z0>!}LgSD2HYfl>ocG5Oi88mPCiUoRinnOV!834@UOPpw@7I~3a@;cyWSUHN0K@p(; zJ9gtL(~L1}-}~53L~NfuCF(As7@`7K+~DN{CZv#UY=QfFV@Ls-&`5ChRY998W0wN* zG(%nFt$IMTH^K65WQ^iNH~qe~C8euC2$JNh&ajju)Vmni5FpNhC<&JdrLYw*=;xb7 z`g`4dEglkE?t#STGNfy06{H1e4wvw5RC}qGJ3a<`JWECw6I^%v_)4RjcG17wOnA_S z{!BF|;wy3AssSYgYl8fkMOvh8PYfYuNs zKA%m^ZcJIZ(>8KjFDdAB#Um^l_m3RASb>|Ly*{S|N3h)Sje#ddq$6n(g)ZU1-ES@A zc|+>-F3Om1VlWA%Tw5Gb7aY~+4N0It_AWF}UuJTSpWbw~tV7>06d?4Y{RVnx)V zQr*_L9!HcVqs=4Zi50OA%bHahMqjhdnG5k1$XO~*xrL39q{79Z1QalTpQ~_9_=$Gk zAM02Nqa09?k_0m;`MVkw^=IxGX*&YAJEYHxn>rQS%P_(rLQ|h4-gA-<;G7nEg_H z$$K=*5qD$wTo}qFa|`%^IbG>!+~ocHsaJmMbKK6ib%-&)`Ovk>6q6dKb`e$obS_rP zsb*e}*tt((63+0)bI1Z|m7?5_NL&o1>@O~p@G9^o8Hx)xjuGN$!F(jCN;9vAXbb_K zi&rD#-(lZ7t;ZK*p7;YLD$CNiFYG7hkuU8*l_7X&q*g13qFD5KyAxT0uv&&CVUji2 zU}Y&E&#CPapfw}|>J>}9wHE{y5TTEkD-vrz<<+W0xER82Bfd9~86=cZ?PjX)Iq{R#zZa3wZYTHQ3cr0 zmtS%ru9Lb}hN4UnMvJyqJn!ov4eW3Q-4;TaE8^`3OcdxS4(MVJ{6B}|<;`bYJt zfJL;mgs2IeH5-X#hFveP0UL)jbZ`f5g@ux46k zqCElzIoAs?>RE!sjz&*fdYi{4hUCUlFTN4d;P_l*EFer2df4+sfR!PP1 zK>tqhYIh2k6~i#`Pfa0Y0!EdPW@6GFSk_iVLi(x3h^SKhV*L?uDvg(~EOPrA73rte zsmWx!Prk95UG@cLj8=BliZ^fifNaUzy_gIl_y8#)f7}$c4u2T}sbKV&-#E}WgrM9h z-BwC3f*LYr#T06(PiN0u)vUtf~0#_RwVwz-h=vxctBIdxJW*N#@O1OSor-a z7UoqPKxL~Pz9>NGsm6mQ%G(&->tUM@S9OdH-S=dbcGI6SYd)S+k5%=Af^QFW& z6HsVa{iXR&mgA zx~rj7z{n47sT_0ow6grePdO}DzOQiA%}-$BZ#EpOm*t3w{8`QJY-E^ z)+&xH{kNI(%uvh&*T|uLOYcL_W$F0R7*4iH&(zfDX6Z~T783d(*i_|IfVbIffgCS0 z>yO4Bbci4|pK!hTzLJj_*Hz#}{m3oRP64`e4j`atpgYp)I1Q?oQk;BP><6gMBVLxU z3-ZRPCHpW(orGXh<;|Q`g9pg;S|78ijx=~m9LPhHW)G+d&fyKgSM}Wy=bH%OlTEj9 z0DJP~2?NsG*5n9(~hv)TRyJ2Grf5ptRCvqt?|ln>hzM;_J)ND0su zyyH?~{B+_2=@&naAgG?cof=VI=XS!+{*}<#hVUvCi;Uquk0a#`rYpm1zP`+TNjW#4 zRv~41@)t~s>k&A!+95aI)dbOpvcjijnoT^l#QKGd7)R?v4)4R|_UpleH;~4>nKx(U zGD=%Ia@cgrzx$G1&Ev(=zyfZ5U&(FJb8!ktao1Oj+2a9Uw?_xARvuOaSq{W2hW+fDuWT( zvKp<8d=^aRz2>MY`U_H`L4BFyXz-Jz#a)j)es7{Z^-v7CsY+lfJ{uQr;Sh!Xi53xh z;9(RPPCSak3y3ms%D?}OD9i-UErnsWY&V;kMgpXb5uQWjv|w7Zy0-!d z>zqM!t5Tjk!TAfoy%%)guE%{9xxd{ts`ynjhMnqC{=+jBtlS8Z|RIVqdQ3NXW8 zF{O-eO^$u#*GEGluukh}&6E1-H5P#18LIBr6zcTWiXQQXE(jVI2rzfeBswptW>yH1 z;;Yex%CixttM5TE58j_otag7q+>M^KgX&jfjLZ)aPvAq!p)K85SK!Xj>@&{uINP?D zLJV(0+2oq6I$M*z0F{Fd6#t>cDm5``vISKe(6@xmg@-1dv=pg1B%e1wc425%r9+oc z42btGLRFnz#2a+xQ`S0=3w9{k!4*@hg>|>H8Ks?>B+H%R;3&*Cx6UNS>7jaI8lK*rF$edp~X91k{XfP0;`lJ~wa>m+V`r_et{jeR~ zE&fy2zSWQ)fhjqN(ui67(p^<%n8e58<-E;Q;Ju#nOa|}^`)FHf6us(w;=;=G8X7o# ziQWlF76jK@dKQ~$Tv3OBVhiYvRa{i3PbqLXJbpEuix_{<_5nn+*kgFnjk^$@W+F2x zme1T%2Hdmi>SI!=A-f83wx%2(-wnapR>pS3EB73bU{E1)9H@xqUfZU}0k_^$>pj|t z+Djk=Pr5KQOviR)Eyc1t_D)j6d1h%>tgGizISVoUSA7NqBjVAea!%r@V0|ZsG#k~E zu$fIycOtQx+n>2PmWL3|tQr$B`<5JXr5JBbAiBRb1D8OTH4{cD*~R&!8VuxS@kFt4 z{D6qdGBi``-bkM^!lX#^IK>TSmMPG;uoX*KUdb!Uik>o1yd4ZrV_;@ITHFiO4#*+y zUL6tpC5e3AvRHXz!!l!ZYXH4jw}_zQa$vMxTmhmm`Ak?EaZO;$Ml!JAwG5PTODc>@ zD9mTLZHi^^>{PoQQmOjlfpB52jRnc-d)&He7X(8|{8+pC3sJAJC_-vqs$K=(xT~%b zwjzJ};U7N5krOiEqHo{LM`@9wPA3J9>nndWh3s(pwapg4hod-w5`}b%h64JWDUZ|LiPWFVF}Rml z+U_LN6Itm-cdteKhemH@YfJ`8ifj$*J1%gg1QBkikWcZgHnMS5`s*TB;RoWyo#^)G z`KKD!%HZ2mb@L-E%N?Cui4oNBW4&GB@J_CzJgOg29R0xkeGF5r-x6m>o&!pVzaTA3n&pnf5_t}_QB6VCoc0UKT#l<0z|uYh zxXyUvnF%^gZnvrFk*Uv+-1;i(5X3^SbNuXsruA7kME4n(m^(sUl+NGp_!eb5Q9x5_ za6hl8GB3quDB!QbFWT_9KZYuSz2%@i_^}1mHpE1wqstK8{%xrxyMc|9Hw(5!q^6NUj0PchG6!J8b^B!r*g@$#!z?$$D3{yiKBaP-I2*l zAL~)e_tX6`)r6UB%%Hxbdxhu|U6az3CgsAcH$kwGx5I$p>7vEW2gVuUO*a!0FE7O- zb`qCv^8qj&b9)_64!NRG**B(BMnQyWlt^XlV(L&NYel2^H?ln}!hCfbK4*AZZqMX% z>NDg4jo7{D3+?j*=|@nunld;h%UQ|M!a$+c)O2?mn<_tgQqzojf(MzcXq#}Jc8!W` ze40%GEe}CF)%Q9fLY$e9_a5aqL+5~`j5z3n!bGn?;Byk(`tAwF@)35zkL*idA_2@c z&?K0g-&fk6b7Q8gPU~L6%c-#@=Z#YVlds?{6wKJ{QLzYkH4XGA!G}+VzvM(#fOECN z@vr0Ru2~+<4^cjy41EmUj$ac83OromNqt)(liAUZ=RJGlJB^q}PPVKzH5)l3N*eLQ zBJPNOS;3yQ!#%0nxX-f!77k*C2X3jPUZCH9^}E1&Zk=ug_2wUHfs4T-A|l&dG@qV4 z{6c(>Ysh|%yabu2@Z-h6B*p;p*x}*}4mTzg)|jTHiM(yF41Y+J8I;YZ5~5Ix)Ao0c z{z_vuAUbaZbt>3#z4qUN(d$ZJQuy{HCWzst%H(&*v7gV}R(KshbM2-uEw`Ohs`ShC zHQA648s)4{eXDyx2jM|I#tGI|%`;)m3beQ~Ut5THWw^X@H8^4ndysjQ;d@zPXDoKDb|tru_~HwGHDf*N(y-_ zB?g=pR!rZ=!#MSJMwrvhVTZ)f(|cqV27?CH*@93=pkkZ6>&eueE@9@qpP3e$QarL?OObfh@777b@Z(n($*XY zmD`zD@js&gDLK}b?z_$kQI6$ap%Cu9slTTxH$WRCJX{MxAmXud`S3Lc*`x$SLzi1h zJ?>9@ajqFBXKD9>ZPI5^Slzj2x2eR;DeGVyGhjsg4n_OEJwRV+l6vGyZ@tj6P;-NgCy&cI6T)^4_DudZu1wycO_D30PTwxts4|KjthE=IK?__%%@Rx+<5qd7 zA)WHXKqN2Lpgw83gDViw&JUEpq(;?}o44Jm9~In(3aQ8sFWLtFGf}Ap%Ui!QfLlm8 z0}B{6audgd?LyIBR52@ERV`YPHV$}&T3gK#ySa=@)K|J&#Yb7k!jPGUM>F6E&y*AJk&HSV=?7^Q$!MAFez#(0NB)gC=~D{6 zUrSd+hzcXRBes_AdTpFnm$IWu`sR|`qJ=PY$(CB8l9aaeXaGxG5?>8Qe|y=meh)WG zg2NyKS$gkS5zVr7vO68IixG{E9{aG84`?X z?({e-zY2>^^U(Z#F9m)SmRYvAv>hiZ1oTyl-2;O3bsvGapevXTm`L%iCynZ<6B4eh zQJBiXBGk$awgI-L5&m$>VQqwA=r|G_=~FFmxykenw8H> z`s%%bPhG>plxwhi?s{Xcl{p8dVK!Hl*cMD`Y0zesSqPC`UX}vc1i7(Ktr#O`vuv;8 zjii*0tRkLV?E0x%m5LTejBQH)ov<-OzR2Cj9~o-TL;CcBkB6!`h{^FHj~k^ezQBk0 zS#>@3i2YhCc%74OXQM)x+Qsjf{kK>LFawcR;Zk-W-0ej{JuTc!>w?GoYMcS?mBH3m z7FS#+NSk{UE*NUeLj~~rRP^s*X-tiN`UF{T#mD+mjJBQFO zfG3hAljI@vhW%ayA*$hU-fW!9hdwKT0x&BP{o%U9`CZMq%WB?Wd2^|TOMEU1qj-Gc zogWT0ruK5LEzI1oTZ?xK;WZ3TezoZ-J@|ye-|clmaU{eS%(vRCU9qgOhLaku=JY6( z$fwm5L}D85gQ^Y6M~)slD!=Vxiu0s#fcd?yMdLOUWM#v~_cQ^L({j5nK?L~5pN*Ui zbKUN~sAql)9-BH$!|5Sq(M-IOp#Z*#=`_kd2K?gm%?cw+R4)#3;sYe7t^+f8t;?M< zE=+AvK>%m^#pG-xgsc?(wPmrXX`lnTfn;Gcsq$RUS!}W0vro2{t_uSvY5oRN7tJXv zHIkQswgAm-+aro=^_Vq#fiI;&tH7=;A}`3VHd_5er_GGQ$%aPLwa~e?fHI{$vHyKe zjy%bh^Q}xW30yRpiz(|>xa&R8;zC8akIoNqMBlpX2&0Y`uhI9LnXmfPE{Lbk5E{+F z?Uz`@^R;_QpyJUtzNCTz@q?UcTMunlWPEz00c|{UEwVK28l~@t8;K6>?vVnHeUr{Q zAmbTFUz;-zSZ54&uq-J@ijp`*k<0y@c2`&w7TX@On$JQZMMVnA@3Rh10?a0uwG$g? zl%7nGIty48x<~HcS$6}xl*M*?|Xq<)eOOLf+R%-}(JTm#0U{ z9eDD1vigxO=LFC2^B1l<7kg3b?9&BW%wWhf@DPMlYmRZ*>~}jhhwbG#eO(1q+K$im zGnsh~F0}ScVgZ$zue#Z=*gyM}u1jD21ai=4?PWxT8b{SW7*(i9rgN6;H|v5_mcQ&z zAE29cz}OUbY$oZ6e{i`no51jFyy;4a6zOR_8Usb%T-v!neyBF|2;v4WL#RWbB^sS{ zoH@-LLnONkEaqw`z8OqI>~Lu7a~%^(3amyC=vsq_GLwsK(NgH!72j<=ADb3;*B7ar(V0Q^am#<~vY|x1K`O`j)xX}^2LBed$*SyW-D9|}tyfFd zGGJZCZ=M(+jZ?hqv<&QX*PezyQH!h;)Iy28x8AK)an%gt*l7do`~H%SC0%Zy^C3$g zaC$Tv`WEbE#vS3C@UC9FZ`6i0TunU{4 z@Uqorffm>UU|7T^NKZP%%b3|x@%jd>MXhdR8Zi2cP)C-8Hq0cBTtB@yPEc$ahkrwu z^n*K88mB;8d`oEeFoHy!dFkE};fhbjnYW`{e{2 z+908-_*FjMU;bJpDc~d2wA!)}{JcIU<05tjI*5)63#VwwbA_atCCZB8&Knd(flm^0 zo)WWHwi|?RCjb-xB~6Gx!tnBhZYsArYMGh`gZ7~e6EF*Uas>I}pM}Km4e-@XtdfNN z4vO-?9YN=2KxBkk^0D-tYBZGeovf^AK0(Ip4m&Ye{O}Pfx9VZU>gM$(%c_gEdzU#}mY&ICi*VhQw@Vm$-|878w&{T(ge z4`C$@{DJMU1h}Nr&7~ffA?vlMKD!kDg8nG}`!^z;aBm5Z*3I{MMiO?Xo0PsQMIXl7JK#%C|XzclLU(k#BzF z{W?f5&Qr0QDB}bZ5x(*?9=xQ6uE6Rr7IIeJJ$Q}D%@WTrLhzt!!Z;zsC5AqxsJYQq zzWGj3xfNe-Chbmxm>)k~o`qQSE(d>AtRuybru^YSkb*99O?mgJPspG*?J~08il~q^ zFK(yYz98foflXDPIqZGOR)YJ)xohX80=ZsMPBw87_QhmoU69f)&yVE(DiL==(65G*=JQHcB$NRFw#z;!ti5RkQIVIwN{+p!f z3g(;xx|HyJWZe^Er9j~H3HQ_3rZVHSx|1y&kvB2)TuHtN{TAPzgV4`xtmxMWXG~mW zse+n#TGe*z8sZYng4lEe@Kl#s<+hX8m(YBU9f>b2babQknU)i0s?Zb8eY0@@1?O z%BvG!%qk6h?RF>5y2q5+Hp&Wbiw-Z8I{hSV%PFWCVohfUJFNYVW}~t+W}YUkrh*V# z*F$H8AJ6o%2V00oL4&z|t84@u_?j6&oczw6i}=C?i9)VN?XF=pd<8|;8+<%QLivXW zORN!O_J-kb*ku)OkxA2$t^!jx!$RUSEX#Q$BDq2$7FZ@Pn2XWctx71(6!0c4T7V>3 zL`xoPBtO7h-kr~0sj88bFJ;@+t#q9U_Tg<_XYV@(1n_Q$Lj)nq@ViNeqNPrn(-2_V zt#-h<(N+ui$U%P)Z`iuFO z{;TH!z z`d9K7`)@7()|UEDy+!}j9RT?f>v7 M;6MPp|J*hI2dDB#DF6Tf literal 0 HcmV?d00001