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- 00000000-0000-0000-0000-000000000000
- d5967b9f-e8ee-436b-a8ad-29fdcecf32d5
- Curve
- Contains a collection of generic curves
- 3cb0a517-a255-4cb3-8efb-772cc4b7323d
- Curve
- Crv
- false
- 0
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
- 00000000-0000-0000-0000-000000000000
- 1222394f-0d33-4f31-9101-7281bde89fe5
- Region Union
- Union of a set of planar closed curves (regions)
- 4ea04d41-71e2-4ea6-bc6c-0739155bb7f1
- Region Union
- RUnion
-
585
124
65
62
-
616
155
- 1
- Curves for boolean union operation
- dc7cb535-6541-40f1-a624-c4066e26c35c
- Curves
- C
- false
- bbc3ee87-5584-4912-adbc-5d1fd417b8e8
- 3cb0a517-a255-4cb3-8efb-772cc4b7323d
- 2
-
587
126
14
29
-
595.5
140.5
- Optional plane for boolean solution
- 61c7765e-f969-4ab5-a967-dfc6435520dd
- Plane
- P
- true
- 0a2c81ff-e2ef-4ae2-9379-77ee55d99bda
- 1
-
587
155
14
29
-
595.5
169.5
- 1
- Result outlines of boolean union
- 5bc85643-efba-47f8-8d3b-54348f5b81a1
- Result
- R
- false
- 0
-
631
126
17
58
-
639.5
155
- 353b206e-bde5-4f02-a913-b3b8a977d4b9
- Evaluate Surface
- Evaluate local surface properties at a {uv} coordinate.
- 6066f609-7ed4-4e73-b061-1705579d8304
- Evaluate Surface
- EvalSrf
-
408
407
87
104
-
460
459
- Base surface
- 40a854e4-8adc-4255-8195-3e9bea1e3f69
- Surface
- S
- false
- true
- 3cb0a517-a255-4cb3-8efb-772cc4b7323d
- 1
-
410
409
35
50
-
437
434
- {uv} coordinate to evaluate
- true
- 17ee04ed-cd5b-4de6-aa9f-56d46543a323
- Point
- uv
- false
- f2232813-deeb-4356-be0c-aee6b0dcb4c0
- 1
-
410
459
35
50
-
437
484
- Point at {uv}
- 6b04c1b9-3873-44cf-a71d-a99ec1a8de54
- Point
- P
- false
- 0
-
475
409
18
20
-
484
419
- Normal at {uv}
- c1848ac3-a14a-4017-ace9-19ec32292bf9
- Normal
- N
- false
- 0
-
475
429
18
20
-
484
439
- U direction at {uv}
- 62e35fda-d3e5-4ae9-9a76-82a7be374c35
- U direction
- U
- false
- 0
-
475
449
18
20
-
484
459
- V direction at {uv}
- 4caf02d7-ebc5-48c0-ac91-78f6ea4ea9ab
- V direction
- V
- false
- 0
-
475
469
18
20
-
484
479
- Frame at {uv}
- 0a2c81ff-e2ef-4ae2-9379-77ee55d99bda
- Frame
- F
- false
- 0
-
475
489
18
20
-
484
499
- 318dacd7-9073-4ede-b043-a0c132eb77e0
- MD Slider
- A multidimensional slider
- f2232813-deeb-4356-be0c-aee6b0dcb4c0
- MD Slider
- MD Slider
- false
- 0
- 0
-
0.5
0.5
0.5
-
0
1
-
0
1
-
0
1
-
120
451
200
200
- d5967b9f-e8ee-436b-a8ad-29fdcecf32d5
- Curve
- Contains a collection of generic curves
- 5b57a5d7-ed7c-4cfd-be36-48cb5cca3371
- Curve
- Crv
- false
- 0
-
284
710
50
20
-
309.54
720.4731
- 1
- 1
- {0}
- -1
-
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- 00000000-0000-0000-0000-000000000000
- d5967b9f-e8ee-436b-a8ad-29fdcecf32d5
- Curve
- Contains a collection of generic curves
- 857e3389-4182-4209-b174-44be90c7837c
- Curve
- Crv
- false
- 0
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7dx5OFXf/zd+MweZ5ynzPDvnGI/zcsxDOEQyJkNkTkRJypAkJFOzQhooSaKSZWiiRGlSSKZKmaPB8Dvdn+Hc9/t83tf1vX6f+4/7D8/r2ufRtc6+9l5rbXvttXcbOno6OrpVSv74J5wMlA93l5DQyCjzqIiIqEh1afegHbGhUZEEvCZOU8dAB0f51NPB66hLm8eF74zbEUSIDIrbucM/XF3aOW5reGiAfVDixqiwoEgCDqera6ATZKgfoI/D4fS0mf/sROR/bVvTOigqImjnjkRN56jwRPO4HfFBTJQvWeP/sS92/x0BIaHxQXqBEZio6KDIyLgdW2OZAv13+v9ZiY2NjeFPNXmU6Oh0KQ44s3JiGCn/4P7zwWdJR8fwax8DHYvlP5r0e5WBTuCfzfvQ+9rR+vML3uZROp5Uetnpy99VM5co33dZ/ON7HgzdXzNNpCn6R3nzX0vYKUvWjOfFmYIt8L+s2wJnZBX3v+ncAhLLFV2TzqEgybKyR1o2GoR19ZOW4Z86R4Nd2JWLiZPRUF54TCuVZSe8vxzoHH8yAf40ZD8dbUPe/aUh8yc/y/1piO0/v+d54LCJtTiWCYzzTsWYOtGhnBIuz0zeFuKzoD1iORlM0FlwycTXlw5xvEv0jq5ggr9W/E9Xhm8cLl3dx5Dyrwb+qYwPPW1lRHmv+ZI5enmbV/5RGTuxROE/lVH457o8jP9c8c8xZvkvepjtXz1cR63ovzRIrdEva6H6r57/q3/2/3edILvOjW2LJjOwRv0w1huhQ6GZwst8y0yw55Ffcdw4M5hOdrc/2UWPetNmFXU3MkOpvSBLmhwrYJrSa97EMqC2AGxrQQszhFePX+XUZQPubA1MsT0jsg4VTE3nZYGtezZ3/mpnA6GAjXZtiBE92XKKW7aRGTj4lt//taP7+f7nHV3B9x86Ov+/6OgCyvJ3HRjy9uF3v6dUTyxxyLV3UX0vHpCh0k31u13T1TM9VHkw3iqtr6i2nPu6mthP9S5qDfz+geovs+9fd4xQzXlj+nXjF6oWD8kzqnNUwz/+6pdaorVAK3adtbj/v13a8O1avh2tb/3ve3xPpqrMepHP/Tqt2fduMtwbppWrrLWwx2Trv11akRvW3Uq1BCX6eR+hlWGgdP3UXVozdutEJr+gep/rmdCeL1TN+HaeuioSQCOvR0CBSDDVQLPDaqJHqEpIE9K66mi9NOn5+OZNWvnm3Psye6k+yeYaoZumGr6hxZFOK5DGmmPDBrpeVIdvMHa+zaDVOM7HsuEWrd2ViFH/JdXydMUX7ItUtzsu2nzWD6JRc4nAk2VKawvW4ouNHa1XtY5XMh2iqvzUfHoK0cpTfliknymYxrIb0cwTgrRePHzKZ3gDra2u3ALCp6lOD5ZddGqlKtyQSZ85TiuuutVuZJLWbV3DFvZG2/7t8FlSRbUvVffA08OPDtA60qdUMNFDq4uMiGixSgiNW+/tHWbbSnUlUza2NJmqzs7GI6Enaf3Km9P5s4HWWuemi4PMof+2xtgtzUON6r8unX/1z/j2dwPq7pCpwTPv2OD1mesHep4zIpamty6pV5hhIIBHemiKDcRPbQz5+ZERPQ7u5TpxnBkOsRqPRPJiID/zRNqdZUY0z7DPYDGCGcYOzARskMKA7jnhzhVWJnTcj+UO0Z0ZpumNb0joYWBINkyzWIQJZaZtavWTZQa5qh8b3hlh4FBivFm7FBO667z+QjkLM7z3ZrnXY0Up75rY5ajMhA6zNf3mfMoEghfio3/bYeCMiL9bqRoT+nZw7Maxq0xAX+y1wuOBARRzIpUbz4TyNkod+KHABHe/JivbbsTA4NtPNRx6TGjFtW2x8DwjiKzf01HvjIH9nJ/362ozoVlTf53QKgbIS43/FE0pXzkr8vCXFhPadyjGf7cwAzy6ccmnZBcGUkoFDbBOTCinb59tqjU9HC7MGOo4jAEhQ9ujTn5MKG6Lyms3JnqojPkRPfEQA91adxtJuUxo/cmzvHsP0kF8i07L7W8YOLWU2RBazYQePEgS9XGhg0uKr45kB7HDy7RXpEVOZpTb0/NltHqV+OX+nmS2FnZYcMpi/+rGjK4+S+E7SFolfust3FZexgGD7I2r59lZ0C1nqdZDSStEzFiddhNwQlwPtufLQRb0wLVEaZvuChHPXhLn4LsOdKUO3ikPY0UuxdsGyZ3LRPyHd0t9P9ZBz6nPS6NjrGj4/UfPHxXLxAyMdNqBQ1xwr2yqwsyTDZ2pH1EWPLRM9La9w6MgxgOv7tqInriKQT/8F7r79JaJgWewr66T+MDCWKVleP061BgYN81cs0Sstoo3ZvYRAIP8paemBB7E2H78ZrLJEnHy4Cpr+UVBkOrvV6yz5EUHF1ZYP7MvEcsKpFOSvglBOtfj7a02fOi5U0jbJrMlYueAePKjShFgWK2/s/sSPwp7VN+08/AS0e/58xPpeDGQuNCTFj8ugASMAy7W5y0T3ZN7zc9kSULyPGf9Uo4wMgtSpDfbRgfb+Xr2iWqvh3xtliTxQRF0zr/9qVA0PXzKDPDdt00aPjXsbvipIoYOb67Sj/FmAM3kX5239GRg09UBw9oocdS9/itZypIRrve6GQcwykKS4zmBidsS6Ch9h1yEGBNImI+HN76QhWAtE1ssqxT6qv3VvugwE3gab5V/YygP7j8Zk3RkpNGw5LsHYo7MUHZyTHEhRwFijvldNNSRQV2/Xood+MQE1mqDmvOZSvAlefPJpnZZdOHJ6KULzYxwayLoZud2ZfC/PzL3OkEO3U0qkOiSY4SV7tPXOqtVwCJEOCxitzySIt80MM5ggCTDrI6uQFUouyQ36cepgBRuETs2ejJAptWwVwWvGijmZQXiihTQ9gTvKvUvDCA+OOsR9EYNWjKYXtZhFdFSroZ6YS7lfLlTTp44pA5cH9IfW7UqIo3auTdJ8syAmQziUjfUgDuj+oYYRyUUmWaZPsbOCsi87rxMtgYEV6yW6uQpobkPn42UZlhBasu4m9AHDXjktidJ4YUSCjqyfYxvkg1EmehKH6VpQrlsZ0eSuzKKVNpbtfiaHUr5UxZwrzRBQNw4KLxYGbWd5ZVafMABLuMzXA9facEvE25X1kAVVKtRYlm7kwsC/G8wMJG0QZ3F7bzOpAoq/DZTbDvBDbhj7OybS7WBQ9dh3YU0VZSYat/UGMIDnQFPH4GBDmx5lzn9LV4NNT8328ohywsHrH7mxI3rwIkcizt+Oeqo1YSd21yOF7QcNrgzdutCk5f4rA29JiqS4RaW0OAF55TqhRglPSjnbOa4m62JhCT5Bux1eEGng69CtV0PDAhVwbUZWqjLb//el8m8kBjwbCZdFAsb/cTZwli1UW1ByqLYM14wY2wc/eSHBZXXvy5nE7WRd8EmVumTfCB/sXlrtj8WsuQ/6L4DbTQ7pDgzeJYPlI/UMGkGYCFv4zhRmaSNDr3G+F8v5wNGJXThaSAWlI421MWaayPPUqa6Y5f44Hyk+t7PJ7GgTfq8MThKG922C03wcuKHHK7dQ1seUurTmiPDk6+N+lKwkSWGAuBOqJmv58VBxSUrCY+n2sjugR0DQUQIdrkznvczwYGEWwy3z5Q2elVroBzoLgwP5o8v3bmMg6PVI7l+1jrowskGj1UnMZifv8218hsH8qv6l9QzddCAzNPo60IScPLU/tENkXgosS7udBvWQZ0nGzi2+0gCoYAlr/sOHmSV/DoVZHTR6DJf4pyRFIhV6k48E9EHbaLzQacwXfRyrDSOp08KdjtO6/IgfbA7Mu1XM62LYgXxGds/rYdzse+TBtYbQFW1VbQwQQ9JWSwP1hpLwyuL3qDhKAMg+eNPjSfpoUdc9+IeFErDdtL8j6ddBvBw3Sr/8Ud6SOsZL+YsnQywvw8mi0sZAt2mivevWLGI11vtkFSWDLANtruHuhlCSvfk/hk9LCppuDT/JUYWntdnfKqKN4Rsmys7Ehyx6P1QEdZ9WRbKX5M4L+Qawi2lY11bt2JRBL2WjudVOeCsdhkyuWsI3iclXs6kY9H9rgfmeovy8Eagftv8E0Pgj3tRZnUMi3IzJhI/71GA6wXly+MiRpD/lHvrm2dYRH/UlPV8vBJ8WuZCts5GoGjLfJ9hCYtGljfstzyiDEziXzQ6ThmB6fxoL5MhDskf8a/Iu6UCWSbRx3zLjeD+VV4iDxGHsq1lS6ReqkD9vQFD7iojcLlip6NriUNo0cc/eVYFJDg/pfXcMIKsua24rfY4xGKgseMetyoY3ej3O9piBN01Enqb3XFoccby9TFzVbgpPXs185kRTD/pD03yx6HYmW8VmF2qoCG34Hmo3wgQRlKkMhyHBBKrYyIuqwJbzsfAx+rGkJSmaNF3BYdEEmV7rZ6qwUc0ustzqzGst1QQyH+FQ6eWn3lsy1eHCk+mjyxjxpAe8br8GBGPpNmSfg9Qxgsl3HivgpQJnC4LGd8Yjkc/7w3EYGa0wFTC95Wmuwls8TC+zHQcj0LSy4SC07WhY2izcNUZExhhXi548RyPVFFXWYWxDmwtHlJ91WUCOcrpe01+4lGvD9tXhRs6UPVT/rCyOAHk0IEXonh95BIc19YbrAsFb1zfy6gTgJvrk2iZuT56uNuovyNHF3znduvoEwjw6EvLLRJZH9kf23elul4XaozCp7wcCZBnlHh20lcfbR022JU+oAv3srcNnckggPuTl0VPDusjlvOCwtb+eoCaLj83aCaA4Im5yakGfdSuq1z1dFgPTp3yjPX8QYBLuyv27BvTR/pF9QkzQViQOJo70m5vCmFW3oLMKgaotXFucF4OB3Z8n3Zi800hpfb5A21/A3Tf6laIzz0cZHHv/LlOiAg800lO7h0GCOVord7uwkPcjoSbX4EIDj/LfTO+GqDsru46UwV9sLyzz5qxmAhsni6HNXQMEaFcRvVHjz5MeqQOQSsRygO+mF1yNUTHgs8LayobwJZx/GznVyKk5d8tLoozRK3PLp6dTTaAbk9Whbl5Ilj8XuIXTjJEgZmY/cdyDSDl3Cd3/mUi9EuF/zp6wBAZnW/nMyqlrE/k+FbIAHB5JR6xHDJEKwmNtWM1BhDI8kCiXh2gL+7ZPP6JITJtbrwT4WsIjfos5R+cAYacNHtGmY1QjrIsV/iSIZz5NeYodgjgdUDTXL6fEfK5YyEzy2IMzyuffnh3AkAmjm10ZI8R4ktUiI7xNQZrlvpy33sAvhZVmpl1Ruht+XfDfE4TGLgdevdYN4BL2skt+T1GiIu5L1czyARGf5iLFg8DiFyfyx2dMkLqJke+CNw2gS+p1yM715mBRsCRMZyeMQovH75/KJ4A78vPmrobmUF0U9tD2G2MYg+LDleKmoKKW+fN2DAzKA/HdhQ9MkYP1VLFkzpMobQpR8T4lBl8mLu3P0DIBKXctd8utpsI1lJq54T6zCDu4e5NnIkmaE9dC9ZJFWBqsi3ci4EETzUKXKwaTRBLqc5rJ0r7JyQxpnlSJFCVypM3HzNBHZVPrN91AmhHPv9CxJGgYzqUfwc7AblGiU8e4jMDQtwgf6wViTJOLA59UCAgofH+6IUDZqApjm/ityXBmW3zTbyqBJSkELB7X6UZRJ2V09G2I4H80kDEazUCKrseK9wwbwaFbVX4chsSdBb49PupEJBb3a6hShESOJRdsYqxJsEnwW7neCUC2nhtl+smIgn6T2Q8xFP2eyGq+2YKZb/ZetFXfgWTwKngOcdBSxI8t+4JD5EnoDtHE5SeHCHBHonhiVjK9i+abHnNR9l+Xdmek1tukkAn6EZBlxMJLHgsC59iCYjovDlsSMQcnonfKhuJIAF9gsT3x4EE1Ee4syq9xxz2Pqv3aThOguuDli9qLhPQZdtpx4sMFrA8/iLy7GUS7D7nbXHhPgF5LKTPkXAWkFuhH7i+nQQ/ks8wukwSUH1bZ/FQrgWQXjEdrewmAft9+o+ODKZovewtS9b7FqA5uJOU2kMCznoJm2pGU/Ro5dhY/3cLoAs7NknzRJH7f/6gS4H7Pzzoiv8vHnQlUJa/u8G8693ruM6f1qgB+crlSFo1BLpk405SPbypvqW+lirv56VEtw6qO+g89r+W306jbI6dG50Hreswo3LzeVSJzyvYpzpo3d5IzJueprq7pvSaglAYjU+xih/Iu2n9JDpTzFdJq2DcoQjBNlp1tWKPvOAPp1EIx2VmvJHW6cJA16OXaA2t5/bb85JWtSRx83UsEf/WYuhQoAWeVlPd310frWnd7V4++GM31cv+TU/bqmmdVsjd2YJo/XTu6I/H7JE0aglNZRooUf2E45RXtKA12Yx/MNWb1jtV0c2rqVQ50jurba/QekOvJ+tLB63lXFyh1+ZpZWYfYbguFPVvT/aSngnhaRUP3qrWY09r3oC0Il8CreMH2/ALJ6leOl8kW9VKa8G1lNKqT7Q6NMWl72GMpvFk+eT7DXxUh6L03RdlaP3X/5381T/n/98NOJlVJ/qHKeUcRb+8rZlM0fVRlbpNHJbgaLSXg4cycGlmtON96E3RE8mKs+XSljDidMrpQwcJAq+lZQv/JCDH9xJSqjhLGMDs9Qx8QILZ11JnpmcIaLbunM0nK0uQPIm7eaKZUv7QTlVynIDsP69/B5sswdJZ2MH4Fgkk6pmyWt8SUEaVEHd8sCVwFTniTU6TYJOdJptDDQFhvzMIXi20BDW6fvasGBJMHNx37cR2AlI9ehWn30TZ7zr1u30GlAuHas+EDg8BeX4WFDo3YQk9JWMMfPIk+KxleYFjygQtsL0VS/ptCVUcmTcmfpvBmff77BiumaDOgM8mNaJWkG/HOHlq3AywTU8yzuSYIKnuZ473lK2AXH18XjHDDCxtz5arzxmjTmJO1acdVnDIIDEqUcsMrFQKDn0LMUa9i5XP1G5bQcIXom3kD4BCZplxWV5jtLHWNGe/iDUUfhuMs3oDsBDLVPC23wi9MJ6NPe1kDXQVFh7ObQAv8ZWftt81Qu+Nx4dajljDM8OK2tjrAHYvzz38dtYIff+S3MbQZQ2EiJYu0mmAPIFrVY37jNByd2VCuZANqPkXaA4fAUibysjFbjNCQQsHebC+NsCOV9HL8QXI/KZ5pl7cCDGWJSq9+GYD2OtJEb+Bsp2gnWWHvxoiD4dR6FC3hVrebfHWgpT9+l6JeH3BEFUFsnY+DLSFxQXCZnnKhG231BeVHXsM0eG0q2FlB21B813BPf0bRMjHBVZdsTZEBgKRWp6VtsCBweTz6RPh8jAj25URyoRTZuvR8EFbsEm9amk8bQqbE1+fUq8yQN+06+O/L9lCuOPZjuPXTYHj9g53o90GyHP7gH2WsB1kKnz3nKU3BS/7WDrFSX3EfmCzmPBWO7BKfsDw1osAUiKfvGpC9VGYCl3f2yo7aLY4MpVPmcC3a80MslAm8KF0xqO7+OxB/lzpc+6jJlAqFvXjx0M8cjjrc6PelFIeQ5/AttkEXPh7MuxO4lEwbx+pNsoetmW27x+TMwGc1gOXiWg8ejxel85Xag+vVqui3RhMgI2jtkDRHY/edg9sOH/PHhokvq3zHjKGvTmPnvQZ49HuGPmZuH57SOctfzXWbAxVxEMW6jJ45BwepMm3ZA9at2yWfnsbA90H3kXb5zjUYc3/8qi7A0TycvabLRvBtvRXv2fTcchjn6/CVKUDFKmc4mVLNYLl7+uxu+VxSCzP0chnwQH22CrSWysZgYL+HgfHd1gULnCtkaCzAVJ1Y+ejGw1hx96qsfpULEp1bnAdCNsA8sle5XsoN7Dbq/LE6LBYpI6kpZ+VbgAOa6tG/icG0FpmbRr+QA9N5iZA4ecN4L5SsSBnbgAmduVYg816qL3/bj2jjiP0fOMNW2nVh1mvE5Usc7roVLtOxPEUR0j5HBNxb78+PHKLubx8TxelJLl6rr/kCDk7OaPYSfoQesUtUTtbFx0xLiyx6HWEg6ckgrFM+uA7xhnzwVMXWZD6d42tOII2/xT5RjMe1DB2QkR5XcS6kYkoo+kER63Yxer34CGx3GKYZVIHsZq8n1rwcYJAp8hT56dxkK9+i1Nqnw4qE3Twzb7tBLI2uYIHK3HQysj8pdtCB0Wcdsq49skJWC7u8SR74eDxV85wdjYddPSG5AMhjDNssTu10YOIgwqtDbV3ZrTR8+Hj6nU8zvA4obLmjiwOUoNT937p00YNH8lKvCLOcEpb1OMoMw5G74laX2zTRlcDMjJx651hxDaruaUGC3W/nd4xp2gj/dHQjb/0nKF2i/LojAcW5Kv97q8YaqOcx3tN91g5Q+qZHelSZXpQpyg0v0TWQlu399weDXWGHzJ9pbFWeqBpyqOnfU8TaT6L1Ujc7QwMivv3fP1CuXF8YdyOVddElpX7VC4ddgZhwZ9SM490QfqkVTP9ggYSOxzcyp7vDIx1HsGXLujCeRGF6Y3NGijjLY7+VIkzrKZq3LBN14VI9FRbLEsD5SUbTTiddQar4Ntmtb91oAYyrly4qo5Wb1lpzd52hie2GtqqOTrwmJ0P5lfV0PRbVu75l86g/Ob86zlOHXi9s5ljQEcNceKr37l9d4bfR0p4Cge0gdBCfvxpXBWVzpVMldCR4aqN57uEKm1QezeauFSsijS1VVIvcZLByXpb3g17bXjM9SmgfFkFMaspX/slQ4aJqhvTAiLacM0+rN3pigqqSTqo56pOhqkPQgyz7VrwYGlHT5ebCpr5nWW7F0uGgieuO1tCtKBK+wOdHacKOsv2MeSAMRm46szmZjFaIJ38cOIqUkaMGvfTxoEMQQvW5/UrNWEB+A7OxiijuhvXIjCWZGhOfyYnyaYJLYxb2HnnlNC1rPsGtfZksDLunPIM1ACRiGjdxGgltL232uulIxnenOPqqpdUB4eqGe+lMEVkUWF/TsCFDOytQmZyCWrwI/Tl9plxBTRiejLSkFJugiKwjC9VwUNCbLgvSAF1h8YUnaeUpx1v9/vpqgpndPts5lbkUe+o4P3vlHLmPpv9OR0qwHlHic/nqDw6t3vfTLwrGVyCuYWHbVWgqkmrDanKI4dVeT4jNzLUycj/aD2pDAMH9uwdOSuH3u9SyT+1iQyw/FzKfUYJ6n18yn8Ly6FJ1ztjYd5kKB5fqBuzVgIF9pGx93myyNe1xB8fQIYPcgxXj91ThKe6JTc2y8minJtXAm6FkOHy/urD56wUIU6Qa0ttmwwajTK79DiSDJlS1h3SFgpgfKVSLfu7NCogXFzcmkSGU+Gfhvwb5OGZZvs5sQxppCKByadPI4PXbrkVrIE8MJm5Gg6vl0Y4s4dMLplkcKz07FUclIMc5tqiu9fXowX5Sn/yYUr5DZsXhhlyIDr5+PS43HqEi9Uf+5lNhms3ltU41eTg1Q7rid35Uqgh4v0+d0q5HcNZ9bqdsnANn/H0QpQkiqwSaOSmbMdOO8CFs0UGMgufEiTIEuhG8Vvv4hQypNYe2+UiJQPRZaIa+RvE0cqMcYfHTjL8dNz3HF8oDUUXd4mP7BBDJh7XrrNupxzHJtPvr1mkoWQpzb4nVxRFvEhu4fYhg+52vYKyb5LgueuU5Hy/MDJ/co7lkTkZxHlnmhyWJSA9+ruInZQwekX4brfRgAwCh1Ie/xoUhypVOYEWIyHUOKvGfE6NDBdx2789fCIGBw5UB9j5CaLUFB9B//VkuNvSW15VIwoKYsHrG5MEkBbO2z2Znwz5TqZKH46KgHmTvTFDCT8ad9z1ngtDBtLCk0r6q8LA1jvMZPeRD/WwNW5op5yPv0zOHc9rFgJBF7FgOXk+1CCqgRH46QzRpFX/kheCELZiGPt9Gy/app/DFTjrDB/WVT87NCYAJsHR6Z8v8yCdiljtqglnWHGc/nRzkh/uK08EHOngRmc3TjcXjjoD8+p6M41FXsi6yeUcU8mJRG1yezDvnSHw4qMvl/l4oZb1SP5vIw4kiBOY1nnrDD4e6wKE2Hkgc8OPR8sFGBS1JURE87Uz2D+O0ghj5QEFJy2xu3kYtInef0SZUh6afHqqmYkHHrU4+e7OxiDRR0q35Cjl6/xYLwsw8EBNw7oig0wMGhfLz5OilG+wzXb+f+7Vnb+bwL8zbWtR0KX6f7wc9b/5Z/9/1+CwO1udN/eugyDWW9yPH7Oi7VViwQyUgTt4sthoVZcTElhl3b8nsSDX0dGMzb3OMK3elMG+ygoJkxdTPssyoqTb7CnKz5yh3F5e7BUPC1yM7WR8UkKPAtWvW4V3OkPIcWZnFykm2ITzPWvKQYeyxJcHTe87gwBByPavHf3/64Wtv9uB4i58qtA4M9gsa86m7KJH2K8KjezLzjRvkP05UNUxuVv+WhkC4//8qDMz/oejLvhfHHXhP8s/K/hXs22ttrCH07pJXjS6aD/VbMkGqdEiWguzCb6MVVTz5VOcnFuo6g4mOUa+orr9EAu+ZILWf71691f/tPvvOl9a4WvBoC4GXlqNRweLMKGd5Y0i9pTLu2GG8wPJPZxg9GSqMaGeBbHe5X3Q/me4+nZZmJGRB7Tc3vTXHcKg3V4Bv1ZEyVCrZualFM4LSiFzzjcfc6ARECiflyLDI/WTvjONfGDdo50tOLAOzQYsxh6XJYMWAyEZnyIId1iyrsQr8CLseoWYH1pkiHjmNzr6WAhKSxvmtqjzIbPxuekBynBb+3m/0FVuEQgM6gjQ1OZHLuvDU25TLvtWs7rz561FIWanvNN3ZQFEeMC3hZ1y+dURExI2jxWDlz+Zn48JC6KsX31va/zJ8OmokMSuKxJwn3ufC2u/EIpNi+ejO0AGyVHFyigkCc6co8/GG4XRufkTRarHyLB8aQdBfXY96PseUvyQKIocBIzTNerIcDLQ/n5bjjTM0B1uPxEihnb5C/qPt5NhdL9KyhUkAxcUhXv2O0sgQ+mjesmDZDD1HmH7Hi4LI96zT+wDJNGJttWB9i9kKPKt0WKTlANzvW5L6SQptOw5mavxjQxVXsJdP7BykHGBX8TpvBRqE2EP3U8px96vxy46yMEtvsujxx5JIXWhCPMrlPKPOZelVwLlwGKjl93YpBQqsFOUq6KUe7yytv7riXQa8z8/kYIw/+FEsvkvTiS7P8vf/KDqK5G+eDDE/FtPhxMZXwVo/eRzaZ+UPq3BLx7vmrKh+g7z4JSUF9W80oNaO/fRyrcj69y+PKrdu96c/HaOaoqPIt3++7TOJdVY+b2m2lM6sknqC1VM7G3H11w7aJQl4PWMcFSrdRiYV7xofa1utPv4Xlo3ZXZJqhdSlVQQU/CponVvF7Ou/EOq0UdU5CM+0rrLqyEwdoXWo6fUQpbVY/9te2WHiIEFVdUyD9cET1r778dKi2dQ3a31PJl0kqrWqt7edzW0cr/bepzlHdUXSRd5wmao/uud4r/65+fx706A55rSfKVs8uB90yLj49x6JLr8SKiWUs6wEBs8WyoPGZ4W2O2x0sh8odzSc4wM64uv85k3K0D2+DHPe5tk0IDfpgXV52TgCVy6un+TIvwIwOQr9cgg63P1XWaUE34h6XrUtX5FmCMtFSqbyKIa1qIUbCMZ8BHaWVIflSBNS4r5LYcc2rk9ZBGVkcFfkWVcoU8ZrmoWfyzvkUNpBiXZ3gWUgeauue1belUQV2KVjWuSRxIibt0jeWQQYX7JE3xMFdbVhJ4+qKOAJjj0+rRyyRBz57RvoKYaBHZLMshWKyDL3J9uRyjrXw9JNYl0VQcr1Wttz4sUKfcR93uzKNtn6N7WyDquDveKZq8d5FRCjXMvajYVk0Gf/8Le0fOa0KoRFpISqYziHlk/wJ8mQ5Ru2fl3fVqgx/jIw2abCmLZUB5gc4YMFgr29a92acOLDs9JjIUq8v8NN7Mp83+cOYcSvkEbZs96tt28rIqixEzFYpLJcHNSlvPHvDb0lWsFn+ZQQwGd+vbhUWRIbqrYvCVABxSZPsXdvKOGio+d6u0lU/r5ieFW2+M64JSrv+U6rzoyv+h6RY5Ehu87TISGQReaNoZfp5fUQM1ZvI6vKRck74WOm5nXdEHR9HrOnqca6CvhUeCGH86ACD/P+evoQSpWhqfwlCbCi4gL9H9whsLWG9UPd+iBcGLR3WEmLaRNsvnJRZleSfL15k006oEVZ+1tz3gtNNKnx4zrcIZNVxTQZkssXNQKOeirqo38gi49SrxJmS5lnn++LQMLdRGHbxJ9tdHXqcO2QlXOcPDj55x7m3Bggbs2qs2sg6pIe+QDKff72L177r7pwwHz7cbXTRE6yGyLFGdDrDOUHHCXaHXFg8p+NXfVLh0kMR0X/2yjMyihTZf8u/BQXtVgPq+li5zO8A/E45xB3jng6n4zffh15N32tsO6yOPAstLldc4g8iPjTImAAdhxLLOJYfXQuonV7tAMJ8iu/nQ9/oABkGs3v7x1WA8Z7yjK6cA7gYeT4xWvRQO4PliCnf6kh5iGCvmKZx1B/36j9glfQ3i/yPfG0hiLptvYgz3rHaHZ/mL0pWeG4NgmTY4qxKI7Bp8bPVMc4Zo/KcrazAgkTi2fZZ/GopDv+UzZDo7AqZCucTLPCDbXoAMbtHBIrkqJfYuyIyij1PihD0ZQ12XYQ47CoS2Hl+U5mR3Bd146WGavMUyFq9R9ncChQ0da79nd3QBflk7aiT81Bq/DL4Xq1PCIocJnmqFwA3j6sf1W5DeBySc5snkBeNTd5R3KGrYBUogHRO2DTSBwX35lfwUeuaS/z9c13AB825dvGFebgH/gEEQP4BGr2rGj1QwbQLn+0+dFHQLscDhz1M5GH5Eth5gfZzkA7zDmyuI2AswdJ1d4xuqjx4txWWnODsCyRHKtKifAs3y9T21l+qik8PjDaF4HWJQuSO79QIATQyyyTS8o68udX5l8bg/cryZLMmRMwWR204+NrAboCYuO4cxReyhJv8v1OdIUfldp2nJYGqDJWf4WMy97OB5R3HBn2hS07glxHqsyQHbvrnSmrtrBkptHv1oRERLab7fs1zZEM+vr3w432wG+S/7sgi2A4W3eOwO/DJHxkKFceJgdMLkeqp7bCZCk+x0XRTRC+YsPo6XIdvCszLND5SFAkHBYeU6rEfq1xfz4GxE7GK+1DibOA5Q2W43GsxsjpFMgwbdoCzzHWhb1BM1g2lzkAQvRGBk8ja3vfWoLg6cXjpI2m8Gv44pj+VeMkdgPU5fLCbYQp36JnT/EDDruZNTotRkjbPZH8RAWW+BvOyRvmWAGG7bKprD1G6P7np8jnH1twMJjWvdBkhnMPPPP0x8xRmESRwZOy9sAaXolNCzHDBgCsDbedCZoavg6ZrHeGvbJvxzgOWUGL9c9U5YWMkHjhttuVadYw/TuqIqPdWYg5CQjUk8wQWK9O7vWk60h6zs59PWIGXic+Dqkm2WCVPd/3EL4bgUG35meEAkk0FvocMMKE5BgMutVzXoriKxgX9l5lQSV/V5P2zoJqKE3Xoo1wgo6Bl+bBL4iwXb/Prc4DlO0tfXC8kY3K/CMm8zAyJqDQnrcjHiaKeISxw4dkrUCUeIZM/wGcwjLy4778YhS3tlg3M1gBQkK6rF+282B/OE9x55FU6Tq5/qV870lfLo5tO2vE7Vlnv/5RO0+z3+YqKX+FxO1dMrydxdcFfTRr5+PVrbGjZg8FaqhL7zyx4Bqc+mkG3EzVVLurpM9MbQ6peM58BlU1Xd1cmmcpPp0Yd9J1hqqFQWBCeHttBpFXNn3sJtWfftOb4ZFqt76XxQuSsfR2Pz2Ln4RR9XndsONBw5UdRJ+zXxOpDWBN9937DDVkyPbOj6epvo7vv1uQxutXR0brEKf0MoyPf7k7CRV05V3fA508f92780rxd68tAphGTA/Fak+E8oeVCbQOhvVxB/nTKsneNYYRlL1+8jG5p1MdWGWU80qm9aXNRHiywW0vjIUVNxZRnVspLjnznWqZyfw/JintF6F6jdN/VTnUmb2xU5SPWPd//LnClW2AyVTLdy7aDyUvurNLE+V0L/rtIEBVbYTqSC55T/oOpduF01r6PJAU0kKVfcbJ3nCj1K1lhuNdqyl1TFy8OeW+1SfOr00O/KGqhwmoKdwgurbq6ksl1ZoTT4GuSyKCf+WXzTy4YMNtLJqipRVhv0HD/fZnNhFdZixUPtYKtUs4fzJ9Fyq//plvr/6Z5z5u4Hti+xWX2ySOYRwhL+d4CeinY+vDnm0WwL+xGa3V4fMwfX1ZuXLKkS0ceZr4MeLlqB9K/uqSK458D1kS12nS0TT0a+m1DMtQfLedtmbJebgXFfw1N+MiPJm9KKDHSyhZ3tERXGaOXRKHyt3kCGiR42f0w4xWcJXt4ismi3mQFrdSsZ8MkV8jnPCisctYKDH9beMtTlY61y1sWo2RYlmhjqhXhbgy1r3c1jcHGAXAe+42xQ5iz7etTRlDj5ejz8EMptDde90S7i7KRpx6HrXVG8OD3YyO7QNkaBjZZlcImmKOGMPudiZm8Pl5k0Hbr0ggYhSj5EOqylien0hBsNiDq/KW19kdZPAjyGfQ4bBFGGbztgFPSRBVVgquveUBCh878zlZQLaad8ZppdHgq2k3PBEynaet/HjulhMEYtZxrCFJwlYrl3Me/qBBHzOwoE8EqZIRqxZT+4r5QL3yrMid5xy4RJWf/ha0RTZpbcef9toBqJ+vwNkJ0hwU8i8OUvdFOUtzWgt2phBzrowjyTK+hZs5SsNlPXjq8+O1PObATxwvTJE2e+ejnWJOyn1L6gvviZQCTBP799Z004CnuOFXw2nCIhfs+D8lx0ANYLl0ey1JBjLFxfc00NAK0xvnjpSNiO1eObYzwskUGUZ6O5tJqDYxhGvQTkAPc3r414nKO0tt7l08woBuSjpyu9mAdh5js8l4ggJTvfH7xQsJiAy//XNlb1EMMJavRIIomxn5ADfXXcCGjrD5kmvQIT+06oP2rVJcNv7QIwDIwG1Jb8b4Q8xhVjFA+fGXpjBC5FrsxpRJmj91/HqZFYCNEUfSeK5YgZE2/PynJomSPHKNXP2rSZAQgyB+mlmcHL7JlOhaWMUfinBJ+ekMfC99LFdijKD57dW3/Q8M0ZbzX7w6mCNYT6lrGTIywx2+AcqtlwzRqUEkXLvFiPwmH9I4seZgUR1Vej7GGMkfFFa+vK4IfhbK5atyprBtjCv46xuxijmYustnzRDuBL9/OzejwAb3ZVL5SeNUFUI0+43RgYg6/PQo6keINBL9aH3RSP0su9qDiZBH6Kfl+u9SAfQbtY56+FphCo2znC0VOBB7nm+oRLlOLh8OLP/h5ER0lTZH6dFxsOWYo54Z18AEbZ+hY3iRihtqGN1YAkHvzkTvkzhASLP3MFnvDdEGfJFU49ccZSbfofblPtnOHz9d6BnkyE69eZyMeMqFpjsrMuFnxFh4PYF7zEfQ2R2YT/3vQU9mLqI0ZDKJsLHJzOOe5UN0cjbr2m7vPXguPdUWwKBCGRltOP+ZwPkwSM/caRSF96IuUn1qxFB9yW+4fY7A+Q4ta2Hc58uHLqP0QYxIuzmyFm8+tQAXSQPlGa764JofG7cWTYiKHw8oVXabIA+shkocGvqgnH+26H0VlN47X+ep/GgAcr7FK/KcUQH0spCxvOSTMECGyIz5WSATD1KArZ/04b1v5nfJgmZAqHmwIGDK/pow1DWdOpXLWDLeTEm+IMA42EqPTZj+mgoPF1t70YtUFQxcAmtJ4CX1Trjz9f10XUN+IZh0QTtt7nPbhcRQIO4zbmiRB/NLzC+/rlFA8hob2FmHAFclnSx6sn6KOmNd+R4kzrQ91nmjtoR4Mo17jY1b32k3JL1YudXNShO1vzwVooANQdF6zgM9VG3B/3lJQU1ykS9rtan3gR2+GHuNYzikXrsZ4PCEhVIztbturzfBF4hOcnaO3ikoyYZiZlWhgwXUZkCcxO480I2UzMLj7ruZ5wYM1CG6Kvc1eqUG6MbK/bVBZQbo0r1L++kLyuBQWbAw4UXxjCxDcehroNHgzzLb87+VASO1MqHhheMQb7leEQtJx4deCpuvxSoCCtTZUdw7sZwMUnr6ccnOKTK428xt0UB2A3N2eiljOHgi2PuPKU41G5Il/neWx7Uy5bLf3UbgWzuqR1lW3FIMfBNdOBBWTC5XXeijnJ+WN8Oso9zx6HjKxKpasKyMBDFVi6abwQ8+Mepydo4NHui9xrzkDRsNn7c45VgBC5a1xwXxXGoUkzvwA8LaSg6JFBwxs0IArG8WuZ0OBREn7GvM2s9PJ8R2FwPRnBdX/hr0RQWHc7M9yPMSMHj7BPiIcpGoGHZ9xb7HosE5iMM1bdLgfr9ll0VnEZw/Hx2Mu8DLCoIS5TMmJaEC0lF9vgPhvDgTpXI+fNY5Kkw19WlIQl+yYsJs1WGwP7NXBclYlFtTtGtS0US8CBuKwq0MISf4ZdN/RSxKL5ZqeZniTh8DR2878BpCI96hA6X/dRD8V5FP/3UxMHX1dAwIcoAss4Q5fOT9NCHFq6zqQxiEK0hfWdoXh9OVC5EPRPTQ5r7VtkW1EQpNzL7fQSL9eFj+yU8Q7cuOt8laOC1LAxaLG8Kz3rpw8bUAmJxqS6yPEYYP0gQhs+sMcQ+ZX14t5SpL5agi9ikb7rudRUCl1wrovwTPKxIev5W1dRFH8a71FUNBYDzHONsEWX8qI3pSgzn1kW4NpkN1ZL88Lj2GcnDHQ/eIpZbjbp1UINLoJRDLw883mHs+0QTD7hWubc1NTrIVqB+sdWXG3ac/yqF6cHBMZvA0S9BOmhQmHCn0oADUmsSygNO4eDCNe7FSWMdVB6b2BcViwF82bHaeB8caH4MOYAwOsjFM4+7XJENHi+KD+bx42Cd5DWO513aqNDoen/3WRZYxEZNHryHhYbckRH6w9qoWtua062HGdpOrd64JI6Fz/Htfesx2gjrXJsw9Y4JvsbfRCb39cBNrK5oW6YW0myXeTlwkQlY7nzr2dRDGW9W41a3MWoiKXJn04oeE+RnD69rltGFqudJje4T6oi1b4LJk5MJZPMvPolJ1YH6mQKRd5NqqKFSOiY3kAFkrty0/mimAzG1BlZ2GWpoKGlJnPMmPbB59bYaMerAhbpJYW9ZNSQ1ldhwvp0OOuWY29Tva4NZaFv71mZVZN9auHP3llXii7wgQbqD2nD3vEaqgbcqEtqD1TiDXyZaChlOfbPWBv55JfPSRRUUmVZ3n6X+F/H3jOqcwnEtEHw0sG9IVwUFckW5VnV/J+b5PRTqlNWClBtxC8m9yij20wi78q45Yk94s4vXZQ2QL601criohCZOrH4ut/5MDKlOYkspVwc4ctMn8bUi+jjC0vxr+xBx8Mh2F/ViNXiS8yLoOp0icn2RShTz6iO6lR9tv/VLFRga7mZ/TVVAdjybylkiXxKTs0K1G7xUoUHkY4Y0swI6eOKqSuLv50TxzYUHwyRUYN/vK+nJLPKIz5L32K7NPUSeyLHWyWRlYHUL+TGWKYdsJbvCH2o+JxpqY06mghJ8FUp98iNLFr0KnVEByZfE6XLnp+LnFWG+H9NdwSmLorUPFx7RfU18fpeVPypQAW5ZlKU4ccugZTmtgfGJt0Sb8zsSB+/LQ9H+0w/f50kjU4XOwZDMPmK9tyVPu6I81OGac3/xSqPqzzzv5b6/IZZpcb9/PCALXVnEgbciUuiujtNs382XxN/iK55mx2Ug+KZRfjmvBJJ1V3K+DK3EN90/vBuwUpC8uPlomZAI2r5RM039TlezZMr+Gy314uC6/oPlkKgQerTz2z3JXe+amRJr5yzkRSFV7cpvxCmAajpOJyomfGg+owHzGCthiMixqduSy4dEHwZd/b7zY3Nlda14kY4gXMR59LSO8aCOR50LCZ0fmzl/vl9v5coPtZWmJ8uec6G7xWFeb1M/NN+e6dG6cIgPYjYc/sZ1dB3q6OjguSw+2Hx6cEKy+wkvnJ9eHRkM4EQaygUvNzu8bybgu4aESTzwK3HFlTyJQfuZ3I0FsnubYzQ+nLcS5gbVHUEXnDrZUIjVWfpege5mC3Wm7HFOTrD5zHWuwJcFlTnkWYvy3Gke8oy08jrFDg5tMQFVBsxI7UGuo2dPWTNXH2a9bxorFNzqdxFsYUAJhunNLOW1RIvh3xYjrCwQ8URm6tJReqRweAi/HHOX+Hd/1yMi+F3R//4gRN075P94057jPz/AWMta1rKWtaxlLWtZy1rWspa1rGUta1nLWtaylrWsZS1rWcta1rKWtaxlLWtZy1rWspa1rGUta1nLWtaylrWsZS1rWcta1rKWtaxlLWtZy1rWspa1rGUta1nLWtaylrX8X8v/Bw==
- 00000000-0000-0000-0000-000000000000
- 1222394f-0d33-4f31-9101-7281bde89fe5
- Region Union
- Union of a set of planar closed curves (regions)
- 5e916e48-b228-48fb-9b55-e8866adf4056
- Region Union
- RUnion
-
660
750
65
62
-
691
781
- 1
- Curves for boolean union operation
- 21811e80-4505-4870-bfa8-ce0f86b42d76
- Curves
- C
- false
- 5b57a5d7-ed7c-4cfd-be36-48cb5cca3371
- 857e3389-4182-4209-b174-44be90c7837c
- 2
-
662
752
14
29
-
670.5
766.5
- Optional plane for boolean solution
- 77cf9caa-8c2b-4015-8898-95631c09b83b
- Plane
- P
- true
- 6d2d65dc-d64a-4e88-8881-5c39f3268374
- 1
-
662
781
14
29
-
670.5
795.5
- 1
- Result outlines of boolean union
- 1c0c004a-45ef-41b6-8869-0e838301f033
- Result
- R
- false
- 0
-
706
752
17
58
-
714.5
781
- 4f8984c4-7c7a-4d69-b0a2-183cbb330d20
- Plane
- Contains a collection of three-dimensional axis-systems
- true
- 6d2d65dc-d64a-4e88-8881-5c39f3268374
- Plane
- Pln
- false
- 5b57a5d7-ed7c-4cfd-be36-48cb5cca3371
- 1
-
445
785
50
20
-
470.8243
795.0485
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
553.4064
67.62544
-
693.9094
67.62544
-
693.9094
86.31441
-
553.4064
86.31441
- A quick note
- Microsoft Sans Serif
- e91215af-dc0f-4d0a-84ab-7cb2e8c5b2e3
- false
- Scribble
- Scribble
- 25
- ATTEMPT 1
-
548.4064
62.62544
150.5029
28.68896
-
553.4064
67.62544
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
623.6212
709.6455
-
767.3712
709.6455
-
767.3712
728.3345
-
623.6212
728.3345
- A quick note
- Microsoft Sans Serif
- 50f85bbf-0293-47a6-882a-2062da4c3c8a
- false
- Scribble
- Scribble
- 25
- ATTEMPT 2
-
618.6212
704.6455
153.75
28.68896
-
623.6212
709.6455
- d4bc9653-c770-4bee-a31d-d120cbb75b39
- Is Planar
- Test whether a surface is planar
- a31e344e-f30f-4e42-ab8d-7421ba63033f
- Is Planar
- Planar
-
1306
169
64
55
-
1336
197
- Surface to test for planarity
- 76857a53-a709-40fb-b9f3-80327f136b2b
- Surface
- S
- false
- bbc3ee87-5584-4912-adbc-5d1fd417b8e8
- 3cb0a517-a255-4cb3-8efb-772cc4b7323d
- 2
-
1308
171
13
25
-
1316
183.75
- Limit planarity test to the interior of trimmed surfaces
- 57f54085-6d1a-407b-92db-6c33867a95e9
- Interior
- I
- false
- 0
-
1308
196
13
26
-
1316
209.25
- 1
- 1
- {0}
- true
- Planarity of surface
- 7fd30768-fcb9-4dd2-8361-dc3a001baf68
- Planar
- p
- false
- 0
-
1351
171
17
25
-
1359.5
183.75
- Surface plane
- 2c36df9d-cd34-4020-84e9-8fbc6d8eaeb5
- Plane
- P
- false
- 0
-
1351
196
17
26
-
1359.5
209.25
- a0ce370d-4768-4ff6-8791-38c9e831e8c3
- 1c9de8a1-315f-4c56-af06-8f69fee80a7a
- Are Points Coplanar
- Test a set of points for coplanarity.
- 0a6a18bc-d4dd-47e7-a3d8-ce67c5632f20
- Are Points Coplanar
- PtsCoPlnr
-
1326
276
64
77
-
1356
315
- 1
- Set of points to test for coplanarity
- 69900f59-5ef9-4954-9485-754338fe7a94
- Points
- P
- false
- 8e6244ca-a840-4eed-b080-374034ca2541
- 21be3bea-59e3-4ec8-b54d-0be39f39d9a7
- 2
-
1328
278
13
73
-
1336
314.5
- True if points are coplanar
- 54752b4a-b283-4820-8e95-421a0f033d08
- Coplanar
- C
- false
- 0
-
1371
278
17
73
-
1379.5
314.5
- 2162e72e-72fc-4bf8-9459-d4d82fa8aa14
- Divide Curve
- Divide a curve into equal length segments
- 581408b1-2e44-4f8c-b964-ace9b77e93f8
- Divide Curve
- Divide
-
1013
320
65
64
-
1045
352
- Curve to divide
- 3b780143-d6f7-4ea7-be24-5008b91d1641
- Curve
- C
- false
- bbc3ee87-5584-4912-adbc-5d1fd417b8e8
- 1
-
1015
322
15
20
-
1024
332
- Number of segments
- 61d529c3-f465-4731-be4f-74da32731721
- Count
- N
- false
- 0
-
1015
342
15
20
-
1024
352
- 1
- 1
- {0}
- 10
- Split segments at kinks
- e3056d8a-d346-4c66-a05b-e4641e78d714
- Kinks
- K
- false
- 0
-
1015
362
15
20
-
1024
372
- 1
- 1
- {0}
- false
- 1
- Division points
- 8e6244ca-a840-4eed-b080-374034ca2541
- Points
- P
- false
- 0
-
1060
322
16
20
-
1068
332
- 1
- Tangent vectors at division points
- 44301a6c-e0bb-413e-a8ad-b9785dc9f704
- Tangents
- T
- false
- 0
-
1060
342
16
20
-
1068
352
- 1
- Parameter values at division points
- f9b3212f-ac00-4d93-8599-61537f064dbc
- Parameters
- t
- false
- 0
-
1060
362
16
20
-
1068
372
- 2162e72e-72fc-4bf8-9459-d4d82fa8aa14
- Divide Curve
- Divide a curve into equal length segments
- 45c37adc-2b34-4951-b9a5-78622c03978a
- Divide Curve
- Divide
-
1009
413
65
64
-
1041
445
- Curve to divide
- 4fc206ab-91d9-4c1a-a3d5-7ea0c64cb45f
- Curve
- C
- false
- 3cb0a517-a255-4cb3-8efb-772cc4b7323d
- 1
-
1011
415
15
20
-
1020
425
- Number of segments
- c49b36a2-fc5c-4033-95e0-ba3050b7ffe5
- Count
- N
- false
- 0
-
1011
435
15
20
-
1020
445
- 1
- 1
- {0}
- 10
- Split segments at kinks
- a4f7622c-51fb-4f81-ab0f-57f0ef6f039f
- Kinks
- K
- false
- 0
-
1011
455
15
20
-
1020
465
- 1
- 1
- {0}
- false
- 1
- Division points
- a9da1e0e-bcc5-4c99-8514-a12e150a95fa
- Points
- P
- false
- 0
-
1056
415
16
20
-
1064
425
- 1
- Tangent vectors at division points
- 19287ba1-fe53-444d-8fea-d347b521c39f
- Tangents
- T
- false
- 0
-
1056
435
16
20
-
1064
445
- 1
- Parameter values at division points
- 2b421c57-06d1-43d9-a4b3-072a6b179740
- Parameters
- t
- false
- 0
-
1056
455
16
20
-
1064
465
- 23285717-156c-468f-a691-b242488c06a6
- Project
- Project an object onto a plane.
- 15577160-cda0-47ee-aa57-679a9c8120f6
- Project
- Project
-
1208
470
67
60
-
1240
500
- Geometry to project
- 759acf29-c813-4003-a33b-02c94bc5d92b
- Geometry
- G
- true
- a9da1e0e-bcc5-4c99-8514-a12e150a95fa
- 1
-
1210
472
15
28
-
1219
486
- Projection plane
- 77672778-6cf2-4b46-a6df-96fe0961655c
- Plane
- P
- false
- 0a2c81ff-e2ef-4ae2-9379-77ee55d99bda
- 1
-
1210
500
15
28
-
1219
514
- 1
- 1
- {0}
-
0
0
0
1
0
0
0
1
0
- Projected geometry
- 21be3bea-59e3-4ec8-b54d-0be39f39d9a7
- Geometry
- G
- false
- 0
-
1255
472
18
28
-
1264
486
- Transformation data
- 3225f4ef-9dd0-49e7-add5-0335f74ffa37
- Transform
- X
- false
- 0
-
1255
500
18
28
-
1264
514
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- b923b645-f304-4934-b763-3b65356e82d5
- Panel
- false
- 0
- 7fd30768-fcb9-4dd2-8361-dc3a001baf68
- 1
- Double click to edit panel content…
-
1476
133
160
100
- 0
- 0
- 0
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- Courier New
- 8
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- c4ffb70e-edbf-4639-b1cd-297438c28d6e
- Panel
- false
- 0
- 54752b4a-b283-4820-8e95-421a0f033d08
- 1
- Double click to edit panel content…
-
1473
272
160
100
- 0
- 0
- 0
-
1473
272.2305
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- Courier New
- 8
- 378d0690-9da0-4dd1-ab16-1d15246e7c22
- Orient
- Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
- true
- a356e9d6-0fd2-474d-9f1c-339a58a42e56
- Orient
- Orient
-
540
1096
67
64
-
572
1128
- Base geometry
- 4953cb1f-a742-4c9c-a739-e395777ba298
- Geometry
- G
- true
- 5b57a5d7-ed7c-4cfd-be36-48cb5cca3371
- 857e3389-4182-4209-b174-44be90c7837c
- 2
-
542
1098
15
20
-
551
1108
- Initial plane
- a006935d-7de4-4b0d-aa1f-6f9cd7f060ee
- Source
- A
- false
- 5b57a5d7-ed7c-4cfd-be36-48cb5cca3371
- 1
-
542
1118
15
20
-
551
1128
- 1
- 1
- {0}
-
0
0
0
1
0
0
0
1
0
- Final plane
- 8b120d21-d639-4939-a265-629a53b27833
- Target
- B
- false
- 0
-
542
1138
15
20
-
551
1148
- 1
- 1
- {0}
-
0
0
0
1
0
0
0
1
0
- Reoriented geometry
- 8f536f07-99e9-4535-8a4f-bedc86a7df01
- Geometry
- G
- false
- 0
-
587
1098
18
30
-
596
1113
- Transformation data
- 97f4175a-d62c-496e-b5cc-f9ea0bccb219
- Transform
- X
- false
- 0
-
587
1128
18
30
-
596
1143
- 1222394f-0d33-4f31-9101-7281bde89fe5
- Region Union
- Union of a set of planar closed curves (regions)
- 8fbc6a25-98ce-495f-9863-bd0155f14fad
- Region Union
- RUnion
-
722
1108
65
62
-
753
1139
- 1
- Curves for boolean union operation
- 018ee9b3-bc3a-4eb0-a2d8-e2cbd3faa8f8
- Curves
- C
- false
- 8f536f07-99e9-4535-8a4f-bedc86a7df01
- 1
-
724
1110
14
29
-
732.5
1124.5
- Optional plane for boolean solution
- 183d1aef-0747-430d-9c98-5dcc080a1448
- Plane
- P
- true
- 0
-
724
1139
14
29
-
732.5
1153.5
- 1
- Result outlines of boolean union
- 2b8e38a4-f0a5-4910-a54b-06efe33b38a5
- Result
- R
- false
- 0
-
768
1110
17
58
-
776.5
1139
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