0 2 2 1 0 8 28701b44-8746-4f44-aaa8-c7ed65acd720 Shaded Selection 1 100;150;0;0 100;0;150;0 638529253095512389 false Project_To_Plane.ghx 0 434 239 1.4705882 0 0 2 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.31.26126.13431 opennest_2, Version=2.12.0.0, Culture=neutral, PublicKeyToken=null 2.12.0.0 Petras Vestartas 69663e7d-f412-4b90-ba83-520c906eaeec opennest_2 Info 2.12.0.0 10 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 255;255;255;255 A group of Grasshopper objects b17dd16a-f2d2-436c-aed6-698406ee5c66 9f0877ba-d3b8-4f80-b9cd-8e692db403c4 a08dd6f4-3745-4f4e-be0e-36b27bb1bd6e 6654bf61-ea62-4d0f-9b83-b75bc2533a33 24cd6648-7f75-4fa0-8318-70facc73ccd9 bf1fb7fd-00cd-4e76-ac6b-772b09906dcf 6358320f-6f15-46c6-94e5-5e7574248651 17c071be-935f-4d3c-bbab-6cdf248916e8 05e97bf8-1f37-4ac7-8738-3f8718c3f1b9 797da9c4-b699-4f97-a4d9-4a24de741c14 d34de5b4-c7ee-4254-ab82-c6c281d8115a d3234906-26ed-417d-93a8-bb873bde518d 20d35e38-e6d6-4d0e-939a-d2bfbcf96ac8 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Distance, negative number will not include bbox 49985764-b42f-41db-a08e-2841957c0fe7 X X true 0 199 102 15 20 208 112 1 1 {0} 1 Offset Distance, negative number will not include bbox 84dbdbba-7160-402e-b68d-c5876a149dd3 Y Y true 0 199 122 15 20 208 132 1 1 {0} 1 Rotates objects by t in radians until Math.Pi and takes one with min bounding box 0c7200bf-74f2-4ec7-90c8-0347efe9e9ec tolerabce t true 0 199 142 15 20 208 152 1 1 {0} 0 2 Geometry 39fcfa41-a43d-4fa6-97b1-9ef90e2fbc2f Geo G false 0 244 62 18 50 253 87 2 Transformation 412b9cfc-24a0-41a9-a534-5c60c990b6c4 Transformation T false 0 244 112 18 50 253 137 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 50;255;255;255 A group of Grasshopper objects 797da9c4-b699-4f97-a4d9-4a24de741c14 d34de5b4-c7ee-4254-ab82-c6c281d8115a 2 d3234906-26ed-417d-93a8-bb873bde518d Group sheets 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe Scribble false 25.23581 22.721497 423.9565 22.721497 423.9565 41.491028 25.23581 41.491028 A quick note Arial 124cb053-3bb9-4705-bb25-41a96961b203 true Scribble Scribble 20 Orient planar polygon to XY plane and Nest. 20.23581 17.721497 408.7207 28.769531 25.23581 22.721497 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 50;255;255;255 A group of Grasshopper objects b0c9faf0-4848-49ce-a578-c9575a5181b9 a342c6ae-d4da-489c-9a94-73458f8fef4f 1adfc50b-c63f-4ee3-b5c7-ae513a6015d3 488483ca-a2a7-46b1-b15f-8c8d4dc32bd8 6fce2f2e-ede3-493c-bd77-a699f77b04e8 6fdb23ca-cb51-445e-ba18-68e2dbc32643 6 541f6645-0145-46d7-81ac-1ab15ffad625 Group Separate your input to a) closed polylines b) attributes e.g. points, lines, meshes and etc. If attributes are used you must use a data-tree for outlines and attributes. 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe Scribble false 186.83221 -151.02486 477.81854 -151.02486 477.81854 -109.49165 186.83221 -109.49165 A quick note Arial 3e107b07-b6ae-4f8b-8175-8057bbe6c89d true Scribble Scribble 20 Support with a coffee or beer: https://ko-fi.com/petrasvestartas 181.83221 -156.02486 300.98633 51.533203 186.83221 -151.02486 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