0 2 2 1 0 8 0ab0e278-03fe-4d5d-9c49-5a9669ea7a90 Shaded 1 100;150;0;0 100;0;150;0 638779025511863758 false Webinar_2503_A_SpecklePavillion.ghx 0 117 145 0.112687387 0 0 12 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.20.25133.14001 SpeckleConnectorGrasshopper, Version=2.23.1.16633, Culture=neutral, PublicKeyToken=null 2.23.1.16633 AEC Systems 074ee50d-763d-495a-8be2-6934897dd6b1 Speckle 2 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 GrasshopperHyperGooComponents, Version=1.26.0.0, Culture=neutral, PublicKeyToken=null 1.26.0.0 ShapeDiver a5842022-2fa3-43c6-9e0e-3150ebe617c1 GrasshopperHyperGooComponents 1.26.0-beta ShapeDiverForGrasshopper, Version=1.26.0.0, Culture=neutral, PublicKeyToken=null 1.26.0.0 ShapeDiver b9116316-c87d-4212-a382-bc40035939bb ShapeDiverForGrasshopper 1.26.0-beta Mesh Pipe, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null 1.0.0.0 cc201624-ce0d-d105-495c-210b876cef63 Mesh Pipe 1.0.0.0 213 f9dfb4c8-73cc-4b45-9ee9-84917b86ba3c b9116316-c87d-4212-a382-bc40035939bb Points Input Allow users to pick and edit individual points or a polyline in the viewer and retrieve the points or the polyline. 5 4f3d7ae0-c3e1-4dd9-9993-62ecf649ccff 10 3 1 Points Input BoundaryStart 395 25 0 0 0 1 1 0 0 0 -1 Y2BkYGD4DwQgGgR4mIBEeFBGZl6+c35ubn6ejkJYalFxZn6erYWekYGekamhsbGeoYmBgaGOgnNpTklpUaptXmppSVFijo5CQGlSTmayd2plSH52ap6tqamRkYVhqqV5srmpqamxASvIFhmw4Xruqfm5qSVFlXoB+TmVOZl5qc6lRWWpLEAF7GUQC7kSi5IzMstSjVNyOfMLUvPySouSillSEksSQYo4ODiYQG4VUGdgMALSm34L8nAyAxn8IOIqEDP9qmdiOAn11+//TAwiUPazK9f93F9eFtz/lEGgmVHpg9+c3bf/AOUnQuUFWKAMhg0VDhCGpQMDMsAQ94TQE0qJFGdggNsBBx/soQyoGg4HkE8+Xovj/V/P1ABTxY2hjxIAAA== 5 00000000-0000-0000-0000-000000000000 -76 790 47 28 -62 804 1 A list of points or a polylines defined in the online viewer scene. be84f73a-210c-4406-8732-f5c8fd396ab9 Points P false 0 -47 792 16 24 -39 804 f9dfb4c8-73cc-4b45-9ee9-84917b86ba3c b9116316-c87d-4212-a382-bc40035939bb Points Input Allow users to pick and edit individual points or a polyline in the viewer and retrieve the points or the polyline. 5 ac54472d-0502-4d25-a8d4-4cf80d6bc3f2 10 3 1 Points Input BoundaryEnd 395 90 0 0 0 1 1 0 0 0 -1 Y2BkYGD4DwQgGgR4mIBEeFBGZl6+c35ubn6ejkJYalFxZn6erYWekYGekamhsbGeoYmBgaGOgnNpTklpUaptXmppSVFijo5CQGlSTmayd2plSH52ap6tqamRkYVhqqV5srmpqamxASvIFhmw4Xruqfm5qSVFlXoB+TmVOZl5qc6lRWWpLEAF7GUQC7kSi5IzMstSjVNyOfMLUvPySouSillSEksSQYo4ODiYQG4VUGdgMALSm34L8nAyAxn8IOIqEDP9qmdiOAn11+//TAwiUPazK9f93F9eFtz/lEGgmVHpg9+c3bf/AOUnQuUFWKAMhg0VDmC6IcyBARlgiHtC6AmlRIozMMDtgIMP9lAGVA2HA8gnPn011v/rmRpgqrgx9FECAA== 5 00000000-0000-0000-0000-000000000000 -78 894 47 28 -64 908 1 A list of points or a polylines defined in the online viewer scene. 93e3f1b1-c89e-4b60-8198-137c1d0da7d1 Points P false 0 -49 896 16 24 -41 908 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 9b4ac818-49cd-4255-b3e2-fb111523c9f3 Curve Crv false be84f73a-210c-4406-8732-f5c8fd396ab9 1 76 792 50 24 101.991 804.7894 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves true 84b0d2d5-9687-405b-baba-bd3b88d6dda6 Curve Crv false 93e3f1b1-c89e-4b60-8198-137c1d0da7d1 1 76 897 50 24 101.4515 909.188 3c30b1a1-4473-4ad4-a700-ea9770726c03 Anchor Anchor true 04933474-af88-408c-8359-5ade712c9a2d Anchor Anchor 3218 806 100 64 3284 838 Point to anchor 93857cff-9af3-4902-aa13-27281eb662d6 Point P true 5b863a64-6ed5-42c8-ba42-1026b9ca30e0 1 3220 808 49 20 3246 818 Location to pull the anchor to. If left empty, the initial location will be used. 07d61ea1-fad1-4793-a374-5dcd6dbca0bc Target T true 0 3220 828 49 20 3246 838 Strength 99cf244e-ad43-46a0-84b8-678aaa583ee2 Strength Strength false 0 3220 848 49 20 3246 858 1 1 {0} 10000 Anchor out 86fbc82f-bb35-4ddd-902c-2b8ad0f97176 A A false 0 3299 808 17 60 3307.5 838 0ed5e67d-539d-480e-88cb-d81fa795d66c Show Show true 5e68cd58-3441-45db-8caa-b42e2145bbc6 Show Show 3251 702 67 28 3283 716 Geometry 3aa45479-eb1e-4059-b49f-d9cdb4a1279a G G true 315dfa1d-3719-4adf-a21a-f5dd67cce740 1 3253 704 15 24 3262 716 Connect to GoalFunctions input 266134db-7b98-43c3-88bc-d2c897eaaf49 G G false 0 3298 704 18 24 3307 716 24e2b0d2-d7b8-4478-8a83-1f04cba701a1 EdgeLengths Set the edge lengths of a mesh true 308a47aa-bbad-4bde-a640-183c5058ff30 EdgeLengths EdgeLengths 3192 736 126 64 3280 768 Mesh to set edge lengths for 81d1cb0c-1162-42ad-aca1-0e1769d13124 Mesh Mesh false 315dfa1d-3719-4adf-a21a-f5dd67cce740 1 3194 738 71 20 3231 748 Target edge length as a multiple of current length b570f82c-d65f-418c-b795-6947e5f73459 LengthFactor LengthFactor false ea0e3599-7411-4669-ae6b-1adcb8e19cfe 1 3194 758 71 20 3231 768 1 1 {0} 1 Strength 5cce42b8-2322-452a-a64f-98a786fea174 Strength Strength false 0 3194 778 71 20 3231 788 1 1 {0} 1 1 out bec8569f-7bd2-4994-a935-342ceb86ad5e EL EL false 0 3295 738 21 60 3305.5 768 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 15fd88e2-8442-41e4-a30d-fe768c2d328e Number Slider LengthFactor false 0 -236 1065 197 20 -235.433 1065.025 2 1 0 1 0 0 1 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 54ee371b-32d9-46bc-aa1d-91e7646496e1 Merge Merge 3577 834 72 104 3615 886 5 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 stream 1 c3a74b2b-181a-4fe7-a79c-d29e068011c6 false Data 1 D1 true 266134db-7b98-43c3-88bc-d2c897eaaf49 1 3579 836 21 20 3591 846 2 Data stream 2 18e52462-39e3-4d1e-b67c-6cea4f6be2a1 false Data 2 D2 true bdc9fd67-2378-4855-9862-510867c9e0e8 1 3579 856 21 20 3591 866 2 Data stream 3 bc39dd00-4238-44e3-819f-8f3188bb0cfd false Data 3 D3 true 86fbc82f-bb35-4ddd-902c-2b8ad0f97176 1 3579 876 21 20 3591 886 2 Data stream 4 efe51a02-a99c-4c7a-afa0-10f8586729d5 false Data 4 D4 true bec8569f-7bd2-4994-a935-342ceb86ad5e 1 3579 896 21 20 3591 906 2 Data stream 5 2a1e41b6-d3ae-48bc-a3bf-076502c36b5c false Data 5 D5 true 0284596a-5cd8-493c-9b8a-5b0e7961738a 1 3579 916 21 20 3591 926 2 Result of merge e92672dc-7fff-4cf2-b692-87cccad7929c Result R false 0 3630 836 17 100 3638.5 886 f5cabf49-ac03-40f0-9aa2-5071f93e8a19 b9116316-c87d-4212-a382-bc40035939bb Loft Mesh Create a lofted mesh through a set of polylines. true 1c2204ea-5f54-42cf-80cd-056b2fc8217c Loft Mesh LoftMesh 1598 851 75 84 1636 893 1 A set of polyline curves used to create a mesh loft. 12d52807-8ce0-4c9a-b780-5a92409eca97 Polylines P false 0f782e13-d34b-4c86-8e4e-1718619c3511 1 1600 853 21 20 1612 863 Compute texture coordinates and store them in the resulting mesh. 5aa31cb3-b121-44d2-9b14-4bacf700621a Compute UV UV true 0 1600 873 21 20 1612 883 1 1 {0} false Try to map the texture coordinates according to the cross and transversal lengths of the mesh. When disabled, a unit [0,1]x[0,1] domain will be used. cb8cd63d-caa9-48a7-b3e8-5ca6e2c141bd Isometric UV I false 0 1600 893 21 20 1612 903 1 1 {0} false Size of the UV space. 16849b0f-9a7b-4151-8065-bb799a4d26ae UV Size S false 0 1600 913 21 20 1612 923 1 1 {0} 1 1 Lofted mesh. 3bae7f96-a8a3-4148-9b67-fb0bb0c69af3 Mesh M false 0 1651 853 20 80 1661 893 ddb24b31-1192-448f-ace3-b5b3d2399831 NakedVertices Sorts the vertices of a mesh into 2 lists according to whether or not they are surrounded by faces true f8fd09a2-de44-4230-b862-a25546b97b6d NakedVertices NV 1927 853 114 84 1961 895 Mesh 3f0b8e4b-b382-4982-9799-14a7e6880661 Mesh M false adfc4356-b92c-4ad5-833d-ef4298dd8ba9 1 1929 855 17 80 1939 895 Indexes of vertices surrounded by faces 61598247-2e24-4e62-8b75-051c1f61c218 ClothedIndex ClothedI false 0 1976 855 63 20 2007.5 865 Indexes of vertices not surrounded by faces 2e81bdd2-bc85-41c3-a88a-d9dcaa841a85 NakedIndex NakedI false 0 1976 875 63 20 2007.5 885 Point locations of vertices surrounded by faces 4801be31-c189-4c6e-a898-cac2a0289f9f ClothedPts ClothedPts false 0 1976 895 63 20 2007.5 905 Point locations of vertices not surrounded by faces 47a658ba-a4ff-471f-8fae-0e1c60b73930 NakedPts NakedPts false 0 1976 915 63 20 2007.5 925 ba2d8f57-0738-42b4-b5a5-fe4d853517eb Deconstruct Mesh Deconstruct a mesh into its component parts. true e1864e6a-f5f7-4e6c-b866-0837a9fe42b5 Deconstruct Mesh DeMesh 4382 791 69 84 4416 833 Base mesh 6eda307d-46f1-4ed8-af31-539d350203e4 Mesh M false e44e10d1-f4df-4a97-b63d-2a2ba8097640 1 4384 793 17 80 4394 833 1 Mesh vertices 5ba8a9e0-cc01-4bb0-8696-d8ce97ea4583 Vertices V false 0 4431 793 18 20 4440 803 1 Mesh faces 09811836-f30e-49f1-9605-179367e6f39b Faces F false 0 4431 813 18 20 4440 823 1 Mesh vertex colours a46d0d95-cb3a-4ec7-8990-25e494aed5e6 Colours C false 0 4431 833 18 20 4440 843 1 Mesh normals 23035cc5-cd42-48c0-85f2-692fd4b14487 Normals N false 0 4431 853 18 20 4440 863 aab142b1-b870-46de-8e86-654c9a554d90 Deconstruct Face Deconstruct a mesh face into its four corner indices. true 9ae001ec-6e5d-45bb-b7f7-d026901af7eb Deconstruct Face DeFace 4481 781 80 84 4526 823 Mesh face 811e2fe8-db7e-4583-8451-2568cfc324c9 2 Face F false 09811836-f30e-49f1-9605-179367e6f39b 1 4483 783 28 80 4506.5 823 Index of first face vertex 304a2e01-6196-4d9a-9cb2-db3e1403ce30 Corner A A false 0 4541 783 18 20 4550 793 Index of second face vertex 05da6537-6b46-4c93-aadd-26e1af597f54 Corner B B false 0 4541 803 18 20 4550 813 Index of third face vertex d7a1868d-b79f-4892-9d79-339d37fda71f Corner C C false 0 4541 823 18 20 4550 833 Index of fourth face vertex (identical to C if face is a triangle) a79926e1-3b48-4450-b153-1e3a72760dd4 Corner D D false 0 4541 843 18 20 4550 853 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true 0171c6f2-f06c-4d9d-8a97-c4beb4c01b14 List Item Item 4652 791 80 64 4702 823 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 0f1030dd-99b3-449a-b573-acbc614cfa30 List L false 5ba8a9e0-cc01-4bb0-8696-d8ce97ea4583 1 4654 793 33 20 4680 803 Item index f2071713-a11d-4492-8b92-a9f656bbcf11 Index i false true 304a2e01-6196-4d9a-9cb2-db3e1403ce30 05da6537-6b46-4c93-aadd-26e1af597f54 d7a1868d-b79f-4892-9d79-339d37fda71f a79926e1-3b48-4450-b153-1e3a72760dd4 4 4654 813 33 20 4680 823 1 1 {0} 0 Wrap index to list bounds a7aa979c-b89b-464d-ad69-c2752f27f95c Wrap W false 0 4654 833 33 20 4680 843 1 1 {0} true Item at {i'} 7945a4b0-19d2-46cc-b7e6-7c2acb5accff false Item i false 0 4717 793 13 60 4723.5 823 e2c0f9db-a862-4bd9-810c-ef2610e7a56f Construct Mesh Construct a mesh from vertices, faces and optional colours. true 7a24c80a-b12f-466a-96ca-934e9f54fb39 Construct Mesh ConMesh 4933 811 84 64 4964 843 1 Vertices of mesh object 9a91d717-dd36-4080-95e8-169e58033cea Vertices V false 7945a4b0-19d2-46cc-b7e6-7c2acb5accff 1 4935 813 14 20 4943.5 823 1 4 {0} 0 0 0 10 0 0 10 10 0 0 10 0 1 Faces of mesh object df3beaa6-a6f0-450c-856c-ab97bf0f5311 Faces F false 0 4935 833 14 20 4943.5 843 1 1 {0} 0 1 2 3 1 Optional vertex colours 8712e584-221a-49f2-9333-6925c362a738 Colours C true ba1092d0-e75f-4966-af15-4cd4fba2886a 1 4935 853 14 20 4943.5 863 Constructed mesh 023d9428-43a8-4686-890b-a9f64f32b959 1 Mesh M false 0 4979 813 36 60 4989 843 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 2f7baaf7-cc90-4684-825d-cceee64b97e3 Stream Filter Filter 3572 1008 77 64 3604 1040 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 f079a2f0-f409-4a97-9695-7a339a2b4854 Gate G false 3d295017-2533-47a8-895f-ecacfd16571a 1 3574 1010 15 20 3583 1020 1 1 {0} 0 2 Input stream at index 0 5c1f2e63-e5ae-43af-8de0-56cac76124f0 false Stream 0 0 true 1441387a-9e90-4093-b781-2881be9e95b3 1 3574 1030 15 20 3583 1040 1 1 {0} Grasshopper.Kernel.Types.GH_Integer 0 2 Input stream at index 1 fdc4b21e-f67e-4d3f-abf1-a9faed02828f false Stream 1 1 true ad54b281-789e-435f-940e-02bf330679bb 1 3574 1050 15 20 3583 1060 2 Filtered stream b531f635-b41c-48cc-a23d-ab23e5eb359b false Stream S(1) false 0 3619 1010 28 60 3633 1040 2e78987b-9dfb-42a2-8b76-3923ac8bd91a Boolean Toggle Boolean (true/false) toggle 4fb51c12-d735-48e1-a92d-6d742c7e6312 Boolean Toggle Optimize false 0 true -152 1181 114 22 e29cdc8a-b58e-4854-aa1d-f09b43a9b6a3 Planarize Planarize true 8d5f60f8-6361-473c-891f-bbb5a2b904d3 Planarize Planarize 3219 890 99 44 3285 912 M dc291f2b-becd-454e-aca1-f286464eeb2f M M false 315dfa1d-3719-4adf-a21a-f5dd67cce740 1 3221 892 49 20 3247 902 Strength bf790e7b-b88d-4283-a631-ddd199f8b839 Strength Strength false aa4aa475-0efb-4e95-9c2a-8c65b737b934 1 3221 912 49 20 3247 922 1 1 {0} 1 1 Planarize out bdc9fd67-2378-4855-9862-510867c9e0e8 Planarize P false 0 3300 892 16 40 3308 912 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 9efc5126-6e6e-44a4-9bd5-7e92f23f68f3 Number Slider PlanarityStrength false 0 -258 1131 220 20 -257.1997 1131.837 3 1 1 100 1 0 1 d4d13384-1914-42ed-b1f2-687c1959bd14 OnPlane Keep a point on a given plane true 19ea7570-6456-4a80-a848-2d53a4e89cd5 OnPlane OnPlane 3219 942 99 64 3285 974 1 Points to keep on a plane 4063ed30-b929-4f4c-933a-03274593a635 Points Points true 229e9af6-424e-4799-83fd-cae208a35374 1 3221 944 49 20 3247 954 Plane (default is WorldXY) f5b710b7-9224-4856-bee1-6008cb4931c9 Plane Plane true 0 3221 964 49 20 3247 974 1 1 {0} 0 0 0 1 0 0 0 1 0 Strength 403445a4-7e7f-4791-8888-16f53ff6babe Strength Strength false 0 3221 984 49 20 3247 994 1 1 {0} 10000 P 0284596a-5cd8-493c-9b8a-5b0e7961738a P P false 0 3300 944 16 60 3308 974 d6d8d3b1-0bce-4143-97b6-00b16a171b8a 1c9de8a1-315f-4c56-af06-8f69fee80a7a Equality Within Tolerance Test for equality of two numbers within a tolerance (|A - B| <= t). 2ffeff9d-6532-44bb-89fa-768dc6751595 Equality Within Tolerance EqualsT 2429 799 66 64 2460 831 Number to compare ae16578a-a328-4195-82e9-21e1a4977491 First Number A false c1b2f183-32f4-48da-9652-4fc2c77ac42e 1 2431 801 14 20 2439.5 811 Number to compare to c483ce7f-18f8-4e4f-b38a-14f220c65d32 Second Number B false 58d0244f-4486-45fa-9019-6ae445f321df 1 2431 821 14 20 2439.5 831 Acceptable maximum difference between A and B to be considered as equal (if omitted document tolerance is used) fcae46b3-4aba-4e5d-97b2-c09c7ec4d62b Tolerance t false 0 2431 841 14 20 2439.5 851 1 1 {0} 0.001 True if A is within the tolerance of B cfeeb1dc-bfe1-495c-9b15-aca9fbb5cefc Equality = false 0 2475 801 18 30 2484 816 True if A is not within the tolerance of B 21117410-cf7f-4cb9-bb31-4be35194925e Inequality ≠ false 0 2475 831 18 30 2484 846 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 58d0244f-4486-45fa-9019-6ae445f321df Panel false 0 0 25 2350 821 50 20 0 0 0 2350.089 821.7986 255;255;250;90 true true true false false true d6d8d3b1-0bce-4143-97b6-00b16a171b8a 1c9de8a1-315f-4c56-af06-8f69fee80a7a Equality Within Tolerance Test for equality of two numbers within a tolerance (|A - B| <= t). b0c34a1b-9c98-4794-b3f1-23a5b4a5c0fa Equality Within Tolerance EqualsT 2430 867 66 64 2461 899 Number to compare f76018a7-abc3-49a6-a5a3-6d9e4e420fbb First Number A false 66277a5e-8199-4491-b2c6-069f79b7410f 1 2432 869 14 20 2440.5 879 Number to compare to c5a9e7b7-d883-4729-a361-a096dade584e Second Number B false a05ecc8d-9e6e-4cae-bcce-155390b457a7 1 2432 889 14 20 2440.5 899 Acceptable maximum difference between A and B to be considered as equal (if omitted document tolerance is used) 509eb137-d255-489c-a3ba-8f42281a66ea Tolerance t false 0 2432 909 14 20 2440.5 919 1 1 {0} 0.001 True if A is within the tolerance of B e4b8d7a6-98cc-4a90-a53d-d43744872587 Equality = false 0 2476 869 18 30 2485 884 True if A is not within the tolerance of B 1e7b557c-3c5b-48b8-8a49-3f160075f62e Inequality ≠ false 0 2476 899 18 30 2485 914 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a05ecc8d-9e6e-4cae-bcce-155390b457a7 Panel false 0 0 90 2348 890 50 21 0 0 0 2348.055 890.053 255;255;250;90 true true true false false true d6d8d3b1-0bce-4143-97b6-00b16a171b8a 1c9de8a1-315f-4c56-af06-8f69fee80a7a Equality Within Tolerance Test for equality of two numbers within a tolerance (|A - B| <= t). cbe79b79-c1e6-4908-b9ba-d7f36f8587bd Equality Within Tolerance EqualsT 2428 729 66 64 2459 761 Number to compare e258c444-327f-4141-88e7-e6380471b75f First Number A false dcb7b24f-a66d-4c7b-a6ed-6c56121ce4df 1 2430 731 14 20 2438.5 741 Number to compare to b45b4cd5-a8b2-42dc-8b81-77abfc40ad25 Second Number B false 6a454bba-afa2-4901-b49a-a16fffbc1773 1 2430 751 14 20 2438.5 761 Acceptable maximum difference between A and B to be considered as equal (if omitted document tolerance is used) f76062af-18a7-4ae6-a8bb-36d87922e1fd Tolerance t false 0 2430 771 14 20 2438.5 781 1 1 {0} 0.001 True if A is within the tolerance of B 3e24a250-f6c3-44fd-89ba-86f317abdb8c Equality = false 0 2474 731 18 30 2483 746 True if A is not within the tolerance of B fb6891e1-7b68-4836-8dac-51deace12b57 Inequality ≠ false 0 2474 761 18 30 2483 776 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 6a454bba-afa2-4901-b49a-a16fffbc1773 Panel false 0 0 0 2345 751 50 20 0 0 0 2345.188 751.6385 255;255;250;90 true true true false false true a50fcd4a-cf42-4c3f-8616-022761e6cc93 Deconstruct Vector Deconstruct a vector into its component parts. 6da9c8c1-9cf0-4594-a2a4-5a40a961f893 Deconstruct Vector DeVec 2224 689 65 64 2255 721 Input vector 395cf888-f720-43b4-a1d0-fb1f11433fdc Vector V false 47a658ba-a4ff-471f-8fae-0e1c60b73930 1 2226 691 14 60 2234.5 721 Vector {x} component 819ebc85-711a-4ed3-8695-56ba52f67ef1 X component X false 0 2270 691 17 20 2278.5 701 Vector {y} component cc451155-27c5-4492-9549-010e0584c1e2 Y component Y false 0 2270 711 17 20 2278.5 721 Vector {z} component dcb7b24f-a66d-4c7b-a6ed-6c56121ce4df Z component Z false 0 2270 731 17 20 2278.5 741 a50fcd4a-cf42-4c3f-8616-022761e6cc93 Deconstruct Vector Deconstruct a vector into its component parts. 305f7d9c-b19b-41ce-b0f5-8b77f90ceba8 Deconstruct Vector DeVec 2222 799 65 64 2253 831 Input vector 61394eb8-c4c8-4ec0-949a-215088f93769 Vector V false 47a658ba-a4ff-471f-8fae-0e1c60b73930 1 2224 801 14 60 2232.5 831 Vector {x} component 3de17822-b118-4483-89fc-5b534227f017 X component X false 0 2268 801 17 20 2276.5 811 Vector {y} component c1b2f183-32f4-48da-9652-4fc2c77ac42e Y component Y false 0 2268 821 17 20 2276.5 831 Vector {z} component f7f4c87f-ba8d-4ddb-a496-7a3321a83de0 Z component Z false 0 2268 841 17 20 2276.5 851 a50fcd4a-cf42-4c3f-8616-022761e6cc93 Deconstruct Vector Deconstruct a vector into its component parts. a4df6796-2e8a-4a9a-95b8-169bbf990bfb Deconstruct Vector DeVec 2221 867 65 64 2252 899 Input vector 2e7003fa-1eb0-4170-82da-aa6648cdfebc Vector V false 47a658ba-a4ff-471f-8fae-0e1c60b73930 1 2223 869 14 60 2231.5 899 Vector {x} component ac5ffbd4-4287-46ce-98fb-125ca1106f62 X component X false 0 2267 869 17 20 2275.5 879 Vector {y} component 66277a5e-8199-4491-b2c6-069f79b7410f Y component Y false 0 2267 889 17 20 2275.5 899 Vector {z} component 2861b65a-146d-45b4-91e3-7a6458c81461 Z component Z false 0 2267 909 17 20 2275.5 919 03b801eb-87cd-476a-a591-257fe5d5bf0f Pick'n'Choose Pick and choose from a set of input data. true a8c26f71-10a1-4b4f-bf4c-2b4bcb7d688b Pick'n'Choose P'n'C 2612 734 64 64 2642 766 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Pick pattern of input indices 58b28051-a2cb-4e96-b743-1b2878dba640 Pattern P false 3e24a250-f6c3-44fd-89ba-86f317abdb8c 1 2614 736 13 20 2622 746 1 2 {0} 0 1 1 Input stream 0 5e78376d-5614-41bb-8ee2-f9439150c2cd false Stream 0 0 true 0 2614 756 13 20 2622 766 1 Input stream 1 091011bd-7c3f-4da1-bad4-c382a0e8f52a false Stream 1 1 true 47a658ba-a4ff-471f-8fae-0e1c60b73930 1 2614 776 13 20 2622 786 1 Picked result 13f57f30-d88f-46b4-b20d-8bbc4b40085d Result R false 0 2657 736 17 60 2665.5 766 03b801eb-87cd-476a-a591-257fe5d5bf0f Pick'n'Choose Pick and choose from a set of input data. true 12f87d9c-19b6-4b40-ae9f-33f3186e1c14 Pick'n'Choose P'n'C 2612 804 64 64 2642 836 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Pick pattern of input indices 8dba258e-b6ad-4d8b-b9a5-89829578aab0 Pattern P false cfeeb1dc-bfe1-495c-9b15-aca9fbb5cefc 1 2614 806 13 20 2622 816 1 2 {0} 0 1 1 Input stream 0 1a0d47d7-103b-474c-b4b4-75a5e51fb199 false Stream 0 0 true 0 2614 826 13 20 2622 836 1 Input stream 1 127cf9cc-b78c-46dd-bc2d-a5068b17631e false Stream 1 1 true 47a658ba-a4ff-471f-8fae-0e1c60b73930 1 2614 846 13 20 2622 856 1 Picked result c83d6cdd-ecf3-4617-9f44-4fb6042feb4a Result R false 0 2657 806 17 60 2665.5 836 03b801eb-87cd-476a-a591-257fe5d5bf0f Pick'n'Choose Pick and choose from a set of input data. true 772bdffa-bd4e-4d63-9d39-1d2730b3afe3 Pick'n'Choose P'n'C 2612 872 64 64 2642 904 3 2e3ab970-8545-46bb-836c-1c11e5610bce 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 1 Pick pattern of input indices bf730be8-1230-4241-842b-8cb6ca44b7aa Pattern P false e4b8d7a6-98cc-4a90-a53d-d43744872587 1 2614 874 13 20 2622 884 1 2 {0} 0 1 1 Input stream 0 aa0215d4-92ee-4fba-82f8-139e6489e0f0 false Stream 0 0 true 0 2614 894 13 20 2622 904 1 Input stream 1 813498e3-ab35-493a-ae3b-08eb5ee78fcc false Stream 1 1 true 47a658ba-a4ff-471f-8fae-0e1c60b73930 1 2614 914 13 20 2622 924 1 Picked result 9089a551-cc07-4563-8696-5777134160e8 Result R false 0 2657 874 17 60 2665.5 904 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 6cd49ed6-1122-472b-8fd9-2ffb4931b6f7 Merge Merge 2710 824 72 44 2748 846 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 b6d1a406-0c6a-4caa-9375-96be4e3f4f5f false Data 1 D1 true c83d6cdd-ecf3-4617-9f44-4fb6042feb4a 1 2712 826 21 20 2724 836 2 Data stream 2 fa326e44-7b6f-4e76-9441-9ddc27968fd7 false Data 2 D2 true 9089a551-cc07-4563-8696-5777134160e8 1 2712 846 21 20 2724 856 2 Result of merge 3648da91-785e-47df-810b-083b66e7bc74 Result R false 0 2763 826 17 40 2771.5 846 4408343b-577e-4fd8-96ff-df7549189186 ZombieSolver A version of the solver component which keeps all iterations internal, and outputs the final result true df664921-ae0f-4632-90b5-3db5c9fbe082 ZombieSolver ZombieSolver 3711 874 141 84 3817 916 2 GoalObjects 14c88422-d474-40a6-bca7-c91e683f8490 1 GoalObjects GoalObjects true e92672dc-7fff-4cf2-b692-87cccad7929c 1 3713 876 89 20 3767 886 Stop when average movement is less than this (default is 1e-10) efe40370-17b9-4509-ad93-07b862d0cec8 Threshold Threshold false 0 3713 896 89 20 3767 906 1 1 {0} 1E-10 Points closer than this distance will be combined into a single particle abf2ca78-844c-4e1c-bef8-af38a4d8423a Tolerance Tolerance false 0 3713 916 89 20 3767 926 1 1 {0} 0.0001 If the energy threshold has not been reached, it will stop after this many iterations 5ffab6db-03f8-45ef-ab32-323a5296fa6a MaxIterations MaxIterations false b531f635-b41c-48cc-a23d-ab23e5eb359b 1 3713 936 89 20 3767 946 1 1 {0} 50000 Iterations ac20efed-4515-43af-adb7-22080b99dcae I I false 0 3832 876 18 26 3841 889.3333 1 V 12e8ca24-d943-4490-9b7a-a932d2a6bf63 V V false 0 3832 902 18 27 3841 916 1 GoalFunction Outputs b37bdc05-ef1d-484b-a2d0-356213805b56 O O false 0 3832 929 18 27 3841 942.6666 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1441387a-9e90-4093-b781-2881be9e95b3 Panel false 0 0 1 3513 1031 30 20 0 0 0 3513.316 1031.755 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ad54b281-789e-435f-940e-02bf330679bb Panel false 0 0 50000 3487 1051 56 20 0 0 0 3487.14 1051.344 255;255;250;90 true true true false false true 9ab93e1a-ebdf-4090-9296-b000cff7b202 Split List Split a list into separate parts. true 15ebdfd8-cf92-4e06-b5d1-cdea5d7b70ac Split List Split 3904 930 63 44 3933 952 1 Base list 90b46260-2d8e-4488-9b81-a20c85984e51 List L false b37bdc05-ef1d-484b-a2d0-356213805b56 1 3906 932 12 20 3913.5 942 Splitting index 040f0e2d-a480-4f46-96c7-0df7401d1827 Index i false 0 3906 952 12 20 3913.5 962 1 1 {0} 1 1 Items to the left of (i) fd7827b6-e074-4ddf-8148-2c81d8c402ed List A A false 0 3948 932 17 20 3956.5 942 1 Items to the right of and including (i) d2f574e6-aa5a-4937-8622-d139d0982d2d List B B false 0 3948 952 17 20 3956.5 962 9ab93e1a-ebdf-4090-9296-b000cff7b202 Split List Split a list into separate parts. true 0db23f8b-42a2-465f-bc97-c88c623e6e00 Split List Split 4002 970 63 44 4031 992 1 Base list b6d8ea7f-c9bb-406e-8060-ae3a1439a7ef List L false d2f574e6-aa5a-4937-8622-d139d0982d2d 1 4004 972 12 20 4011.5 982 Splitting index 0a21b479-b8dd-4b16-9e1f-a9539d1a33ad Index i false 8eda71d2-5588-44eb-a83a-1661f3863940 1 4004 992 12 20 4011.5 1002 1 1 {0} 1400 1 Items to the left of (i) d587c375-3985-4cea-8202-d3e93ae10abb List A A false 0 4046 972 17 20 4054.5 982 1 Items to the right of and including (i) 96fe1e02-4cbf-4b2c-a834-635ed9a80fee List B B false 0 4046 992 17 20 4054.5 1002 203a91c3-287a-43b6-a9c5-ebb96240a650 Colour Contains a collection of RGB colours 73751332-4bf2-4a0b-ae55-d0861cf19a84 2 Colour Col false true daebd42b-2851-479b-97f4-fbc35db6a515 1 4701 952 89 24 4765.805 964.3963 dd8134c0-109b-4012-92be-51d843edfff7 Duplicate Data Duplicate data a predefined number of times. true 0c37f8f5-b239-4cfe-8a7c-cd1ea5d7af61 Duplicate Data Dup 4827 950 83 64 4859 982 1 Data to duplicate e8483e8e-0518-4236-9be2-a3f28a7dd943 Data D false 73751332-4bf2-4a0b-ae55-d0861cf19a84 1 4829 952 15 20 4838 962 Number of duplicates 064ba0b0-00eb-4655-bb1f-0001c0818f43 Number N false 0 4829 972 15 20 4838 982 1 1 {0} 4 Retain list order 3050405a-2324-41ab-90df-6a71dc992207 Order O false 0 4829 992 15 20 4838 1002 1 1 {0} true 1 Duplicated data ba1092d0-e75f-4966-af15-4cd4fba2886a Data D false true 0 4874 952 34 60 4883 982 1817fd29-20ae-4503-b542-f0fb651e67d7 List Length Measure the length of a list. true b72ba2e9-a109-4a95-8eef-856cbcde465e List Length Lng 3906 988 61 28 3935 1002 1 Base list 5cc872ad-4b3b-4f26-beaf-f7ec76a60a20 List L false f242e4bb-1011-4ef8-b087-732ae2a5582f 1 3908 990 12 24 3915.5 1002 Number of items in L 8eda71d2-5588-44eb-a83a-1661f3863940 Length L false 0 3950 990 15 24 3957.5 1002 6da9f120-3ad0-4b6e-9fe0-f8cde3a649b7 Gradient Represents a multiple colour gradient daa49ef7-f92e-4927-9396-6a95240798ad Gradient Gradient 3 false false 255;0;128;0 255;0;128;0 0 6eddca6d-a535-41a5-97ea-e7c57de03d05 255;255;255;0 255;255;255;0 0.5 402f4e95-48bf-484a-9bce-259b9570ae3e 255;255;0;0 255;255;0;0 1 f2b7d0ed-64e4-4195-b72f-dbcd89af3de9 4420 930 250 64 Lower limit of gradient range a74739b7-87d2-4f8d-8941-3831b43eb806 Lower limit L0 false 0 4423 932 18 20 4433.5 942 1 1 {0} 0 Upper limit of gradient range 76068d64-ac82-4e3f-9714-2758c86b21a9 Upper limit L1 false 673ef22a-3cae-448a-85d1-b84406bc0a35 1 4423 952 18 20 4433.5 962 1 1 {0} 0.01 Parameter along gradient range 27c68b59-7fbe-4268-a682-33fc59347832 Parameter t false bdeb369a-7769-4e0e-af59-0f7d38608a94 1 4423 972 18 20 4433.5 982 Colour along gradient at parameter daebd42b-2851-479b-97f4-fbc35db6a515 Colour C false 0 4670 930 0 64 9333c5b3-11f9-423c-bbb5-7e5156430219 Rebuild Curve Rebuild a curve with a specific number of control-points. true 9692e69f-0117-4100-944b-c2253ac1670f Rebuild Curve ReB 693 771 66 84 725 813 Curve to rebuild 6d2733eb-a1fb-478f-a6ff-30691e6f2f85 Curve C false 93753097-a9ab-4243-8700-262f0af7d1ab 1 695 773 15 20 704 783 Optional degree of curve (if omitted, input degree is used) e63eb78e-cc84-4c47-af6c-2d4f6f6b8e4f Degree D true 0 695 793 15 20 704 803 1 1 {0} 1 Number of control points b6944bba-d234-4661-ac67-3ef1df69bddd Count N false 3a40d118-27cf-4242-b6b5-d01a0dc65fe3 1 695 813 15 20 704 823 1 1 {0} 10 Preserve curve end tangents 038d50fe-5c3a-48a5-b542-d0e9e25b1660 Tangents T false 0 695 833 15 20 704 843 1 1 {0} false Rebuild curve 4da22387-d701-4731-be12-37ea6f57a0b7 Curve C false 0 740 773 17 80 748.5 813 424eb433-2b3a-4859-beaf-804d8af0afd7 Control Points Extract the nurbs control points and knots of a curve. true 07ed3476-49ee-4202-889e-1689ebb314b1 Control Points CP 309 771 68 64 340 803 Curve to evaluate d6e421b2-1848-43be-882f-143ab10935a4 Curve C false dc80520c-ad56-4f7f-a86f-8719c935e759 1 311 773 14 60 319.5 803 1 Control points of the Nurbs-form. fb4198f1-1a32-43d8-a095-41c4d8e6eaf4 Points P false 0 355 773 20 20 365 783 1 Weights of control points. fc3d097c-740c-4285-b6af-6844c28480d1 Weights W false 0 355 793 20 20 365 803 1 Knot vector of Nurbs-form. 88ebd8bf-e99b-438b-921b-94754c18bd11 Knots K false 0 355 813 20 20 365 823 9333c5b3-11f9-423c-bbb5-7e5156430219 Rebuild Curve Rebuild a curve with a specific number of control-points. true b85abad9-ca5c-4b87-840c-4ea6ddfb4f57 Rebuild Curve ReB 693 876 66 84 725 918 Curve to rebuild bd635028-0af9-409a-96cf-d553a6fbb798 Curve C false 4ecf353a-1966-4f25-b985-493c17f3fbc4 1 695 878 15 20 704 888 Optional degree of curve (if omitted, input degree is used) 8e760af0-05e0-41ee-b6f9-a17346f057c1 Degree D true 0 695 898 15 20 704 908 1 1 {0} 1 Number of control points fdc37090-5ede-4ba6-afe9-b003461ddf1e Count N false 3a40d118-27cf-4242-b6b5-d01a0dc65fe3 1 695 918 15 20 704 928 1 1 {0} 10 Preserve curve end tangents 8403f29d-7a81-47a8-a6c0-1f8bc16da203 Tangents T false 0 695 938 15 20 704 948 1 1 {0} false Rebuild curve 8fd56a78-107a-4d27-ad7a-482b7cb81671 Curve C false 0 740 878 17 80 748.5 918 424eb433-2b3a-4859-beaf-804d8af0afd7 Control Points Extract the nurbs control points and knots of a curve. true fb332fae-cb0f-4d3e-8e6e-450265f8664a Control Points CP 305 876 68 64 336 908 Curve to evaluate b060ea72-ef79-4eba-b15d-f679e1907bae Curve C false 9eb3ceb4-0f19-44d3-be0f-6b8b08c0c578 1 307 878 14 60 315.5 908 1 Control points of the Nurbs-form. 88b104cd-a594-4ea2-a263-fd27c1380559 Points P false 0 351 878 20 20 361 888 1 Weights of control points. 754037c2-7d73-46ec-87f5-0d57945a8d7f Weights W false 0 351 898 20 20 361 908 1 Knot vector of Nurbs-form. 1d99962f-2c25-4e46-b4b9-24733609d3ad Knots K false 0 351 918 20 20 361 928 719467e6-7cf5-4848-99b0-c5dd57e5442c Python 3 Script true true 2346fd34-ed9a-462c-926b-3b270bbd6dd7 true true true Python 3 Script Py3 3 false false false true 5371 1105 92 64 5420 1137 3 08908df5-fa14-4982-9ab2-1aa0927566aa 08908df5-fa14-4982-9ab2-1aa0927566aa 08908df5-fa14-4982-9ab2-1aa0927566aa 2 3ede854e-c753-40eb-84cb-b48008f14fd4 08908df5-fa14-4982-9ab2-1aa0927566aa 1 true Converts to collection of floating point numbers 62fb59ba-00d1-48bd-95b6-5d5abcea2065 pts pts true 1 2 true 6a6740f9-835e-4dc8-983c-f642deb5c192 1 9d51e32e-c038-4352-9554-f4137ca91b9a 5373 1107 32 20 5390.5 1117 mscorlib System.Double true Converts to collection of integer numbers d9bf4ca5-0ed9-4374-80e2-319ab41aa547 n n true 0 2 true 506cc8e1-b916-4e4c-8497-a278f59db3aa 1 48d01794-d3d8-4aef-990e-127168822244 5373 1127 32 20 5390.5 1137 mscorlib System.Int32 true Converts to collection of floating point numbers e63dce37-8775-4bdc-937e-c51535194bf6 maxc maxc true 0 2 true 9930aa66-70d2-456b-83e6-881a933aef7a 1 9d51e32e-c038-4352-9554-f4137ca91b9a 5373 1147 32 20 5390.5 1157 mscorlib System.Double Standard output and error contents collected during script run f548c568-2a8f-4e71-b509-b01421401946 out out false 0 5435 1107 26 30 5448 1122 false rhinoscriptsyntax geometry 9fd6d4cf-30c6-4efa-9fef-1023ff78fb90 a a false 0 2 true 0 1c282eeb-dd16-439f-94e4-7d92b542fe8b 5435 1137 26 30 5448 1152 mscorlib System.Object true true true 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 Py3 *.*.python 3.* 221 62 1047 697 c48dbc39-8a05-450f-86cd-6cf53f19b867 b9116316-c87d-4212-a382-bc40035939bb App Create an App Builder application from a list of containers. b65a2d1a-16fa-421d-8945-4a83c0996e23 App App 5700 1920 45 44 5731 1942 2 A list of containers for the web app layout. a512c2e4-4f86-423b-ba31-90a5bef09f89 Containers C true 41fc899b-2204-4773-a946-5a4e21830d62 1 5702 1922 14 20 5710.5 1932 2 A list of dynamic parameter definitions that can be referenced. 2fa08260-cc3c-4e87-b86b-53eb31cf8601 Parameters P true 0 5702 1942 14 20 5710.5 1952 7dea51ac-6787-4dcc-9d42-0c2288e883fb b9116316-c87d-4212-a382-bc40035939bb Container Create a container for an App Builder application, including a list of tabs and/or widgets. c8c8c3b7-abe2-452a-906d-0ecb6665d62f Container Container 5407 1890 68 64 5441 1922 A name for the container. Use "left", "right", "top" and "bottom" to influence the default template. 82cfe3eb-0d9d-4715-b9bb-163558fcb452 Name N false 2ea5be43-ab78-4b65-8d47-8837d7671893 1 5409 1892 17 20 5419 1902 1 A list of tabs to structure the container. 03062216-8562-4955-bedb-e6cc7f35427f Tabs T true 4434b315-466a-4264-b8e3-88545f4110db 1 5409 1912 17 20 5419 1922 1 A list of widgets to include directly in the container. If tabs are defined, those widgets will be included in all tabs. c3ce1298-ea48-468d-9446-5cf4561df25a Widgets W true 0 5409 1932 17 20 5419 1942 A container that can be used to build a web application. fd86cacc-2a67-4787-815b-6674e2b6f702 Container C false 0 5456 1892 17 60 5464.5 1922 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 23e41f7f-1b1f-4bef-97c0-3c22957e70df Merge Merge 5547 1910 72 44 5585 1932 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 533b5801-6fbd-4344-b6ec-29e0d6266c96 false Data 1 D1 true fd86cacc-2a67-4787-815b-6674e2b6f702 1 5549 1912 21 20 5561 1922 2 Data stream 2 1d2ad259-35c5-46b0-a59d-b6214b93c39e false Data 2 D2 true 95949d31-df65-4205-9afc-158813c537b1 1 5549 1932 21 20 5561 1942 2 Result of merge 41fc899b-2204-4773-a946-5a4e21830d62 Result R false 0 5600 1912 17 40 5608.5 1932 7dea51ac-6787-4dcc-9d42-0c2288e883fb b9116316-c87d-4212-a382-bc40035939bb Container Create a container for an App Builder application, including a list of tabs and/or widgets. 03e12cb0-e547-4812-bb81-5ef7d143dd25 Container Container 5411 2088 68 64 5445 2120 A name for the container. Use "left", "right", "top" and "bottom" to influence the default template. fb53f12a-e749-475f-bdcb-6499884e84a8 Name N false 4860c26c-bfc3-4ff4-8794-36e9c6791159 1 5413 2090 17 20 5423 2100 1 A list of tabs to structure the container. 638807d6-1e18-41ad-b996-1503593d66c8 Tabs T true 6813bccc-b121-43e8-b7a5-57f45d2814f8 1 5413 2110 17 20 5423 2120 1 A list of widgets to include directly in the container. If tabs are defined, those widgets will be included in all tabs. 760ffca9-804b-4fa0-92f9-824ab205858f Widgets W true 0 5413 2130 17 20 5423 2140 A container that can be used to build a web application. 95949d31-df65-4205-9afc-158813c537b1 Container C false 0 5460 2090 17 60 5468.5 2120 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2ea5be43-ab78-4b65-8d47-8837d7671893 Panel false 0 0 left 5333 1892 49 20 0 0 0 5333.822 1892.703 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4860c26c-bfc3-4ff4-8794-36e9c6791159 Panel false 0 0 right 5329 2092 56 20 0 0 0 5329.827 2092.055 255;255;250;90 true true true false false true 36be05a8-8a2f-416d-8426-96e8b86c3b0b b9116316-c87d-4212-a382-bc40035939bb Stream Export Options Export a stream and configure which export options to use. b1ca00c6-70a2-4070-896a-d6832a87e31a false Stream Export Options ExportStream 5553 1179 66 44 5584 1201 Specify a file ending like "txt", a MIME type like "text/plain", or a file ending and a content type separated by a comma. 987e0b19-d264-48c1-8199-2663580078f0 ContentType C false ca40ab2b-ff23-4a1b-9335-82f45858e630 1 5555 1181 14 20 5563.5 1191 Optionally specify a file ending to use instead of the default file ending for the given content type 01a0132c-9724-46b5-be3b-c11a98ae5b99 FileEnding E false 0 5555 1201 14 20 5563.5 1211 1 1 {0} false User defined export options 1ba2c47d-b056-466c-b492-8221bae2c6df Options O false 0 5599 1181 18 40 5608 1201 40352d2e-fe0a-4205-89a6-1afc0d2c871e b9116316-c87d-4212-a382-bc40035939bb Download Export Let users download a file from the ShapeDiver viewer. CAUTION: The exported data will be publicly available from the ShapeDiver viewer. Use the email export if you want the exported data to be kept private. 2 0bbe4889-9910-4c8f-ace7-8793e6971285 Download Export Heatmap 5718 1140 46 64 5750 1172 2 Data (geometry, text, bitmap or document) to be exported. ec603994-e9ad-4561-999b-b92381c393ba Data D false 9fd6d4cf-30c6-4efa-9fef-1023ff78fb90 1 5720 1142 15 20 5729 1152 2 Format and export options for the exported file. c3a9ab2e-37d1-4149-b328-0677a0c30726 Options O true 1ba2c47d-b056-466c-b492-8221bae2c6df 1 5720 1162 15 20 5729 1172 2 Name of the exported file. 99349345-70a3-457a-b204-c3576c948e4a Name N true 79111951-d521-40d9-97ef-b54126f532ac 1 5720 1182 15 20 5729 1192 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 79111951-d521-40d9-97ef-b54126f532ac Panel false 0 0 test 5563 1234 56 20 0 0 0 5563.164 1234.519 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ca40ab2b-ff23-4a1b-9335-82f45858e630 Panel false 0 0 svg,image/svg+xml 5390 1182 135 20 0 0 0 5390.505 1182.746 255;255;250;90 true true true false false true 1144ab24-a1e1-498a-9547-52725e33c8e1 b9116316-c87d-4212-a382-bc40035939bb Image Widget Create an App Builder image widget using a URL or a reference to an image export component. e3d505fb-7edb-4a45-8eb0-983a34e4229a Image Widget ImageWidget 4892 2270 69 104 4924 2322 Public URI of an image to display in the widget. Used as fallback if no Export is referenced. eab3d061-4b66-42c3-896d-8698600be961 URI U true 0 4894 2272 15 20 4903 2282 Name of an Export Component creating the image to display in the widget. Takes precedence over the URI. 419f73b0-e332-4642-97ab-644d09759dec Export Name E true ca60d061-3d99-4b97-b13c-a491814a34b9 1 4894 2292 15 20 4903 2302 Optional description used for the HTML alt property of the image. 34348238-d0ce-4916-a833-15e7f6d76344 Description D true 0 4894 2312 15 20 4903 2322 Anchor link accessed when clicking on the image. 76a6d7fc-a215-45ed-8d6d-b5116ee3d078 Link L true 0 4894 2332 15 20 4903 2342 Optional target used for the target property of the anchor link. By default set to _blank. 09a6b015-9472-41aa-bebf-ce4561c40391 Target T true 0 4894 2352 15 20 4903 2362 An image widget that can be included in a tab or directly in a container for the web application. 78146873-0ca7-4121-8087-488e0c5e5e56 Widget W false 0 4939 2272 20 100 4949 2322 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ca60d061-3d99-4b97-b13c-a491814a34b9 Panel false 0 0 Heatmap 4804 2293 69 20 0 0 0 4804.94 2293.446 255;255;250;90 true true true false false true eb827bce-067b-4d3d-9467-843b9d59221f b9116316-c87d-4212-a382-bc40035939bb Parameter Widget Create an App Builder parameter widget from a list of parameters. 44f7c43e-ca9a-413b-b89d-4b6390c4d093 Parameter Widget ParamWidget true 4954 1928 73 28 4990 1942 1 A list of parameters and exports to include in the widget. ca67cd2b-fe8c-40a9-9cd2-899105f0aa89 Parameters and Exports PE true a953417e-792d-488a-ab3a-483fa97851cf 1 4956 1930 19 24 4967 1942 A parameter widget that can be included in a tab or directly in a container for the web application. 7311f88c-f236-477e-a80c-7830406a655b Widget W false 0 5005 1930 20 24 5015 1942 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true c6720ae4-67e9-42d8-828d-c1ce5a3b15b3 Merge Merge 4837 1890 72 104 4875 1942 5 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 stream 1 e47e37ec-2c1f-4054-ac4d-44253d6fae30 false Data 1 D1 true 4239ad36-a50e-46e1-81a7-3df57082ca49 1 4839 1892 21 20 4851 1902 2 Data stream 2 a31a4d75-6683-48ad-99a0-59adc92b3478 false Data 2 D2 true 3ce22a04-4b66-483b-ad16-d7fbc18b69a7 1 4839 1912 21 20 4851 1922 2 Data stream 3 1225368e-e6ac-4da4-b5ad-75c62d241366 false Data 3 D3 true 0c5e3657-a1a7-4d50-aea5-ea186c8df558 1 4839 1932 21 20 4851 1942 2 Data stream 4 9e918394-4dba-484b-a57f-53b1e50688ae false Data 4 D4 true b9a92817-d22c-4b1c-832b-8c9ee7998a3a 1 4839 1952 21 20 4851 1962 2 Data stream 5 7e95c119-700e-4b73-b3a9-a1bea13324e4 false Data 5 D5 true 0 4839 1972 21 20 4851 1982 2 Result of merge a953417e-792d-488a-ab3a-483fa97851cf Result R false 0 4890 1892 17 100 4898.5 1942 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 4239ad36-a50e-46e1-81a7-3df57082ca49 Panel false 0 0 BoundaryStart 4688 1892 109 20 0 0 0 4688.638 1892.565 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 3ce22a04-4b66-483b-ad16-d7fbc18b69a7 Panel false 0 0 BoundaryEnd 4700 1912 96 20 0 0 0 4700.291 1912.965 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 0c5e3657-a1a7-4d50-aea5-ea186c8df558 Panel false 0 0 Optimize 4720 1932 76 20 0 0 0 4720.728 1932.765 255;255;250;90 true true true false false true eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 939848d0-bdd3-443d-a7de-efcc9c280873 Stream Filter Filter 4615 1930 77 64 4647 1962 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 3a0ebaa9-80c2-4dcd-8dd1-ffd476941b0e Gate G false 36d91e67-b0de-487a-a854-cf15462b1d20 1 4617 1932 15 20 4626 1942 1 1 {0} 0 2 Input stream at index 0 4bafaab6-2fcb-4700-a9ee-81af7d75f918 false Stream 0 0 true 0 4617 1952 15 20 4626 1962 2 Input stream at index 1 f9991a7f-d181-4173-92c0-60769abbeb18 false Stream 1 1 true ff29dbc9-4aa0-462a-8139-f6905f966a10 1 4617 1972 15 20 4626 1982 2 Filtered stream b9a92817-d22c-4b1c-832b-8c9ee7998a3a false Stream S(1) false 0 4662 1932 28 60 4676 1962 cb95db89-6165-43b6-9c41-5702bc5bf137 Boolean Contains a collection of boolean values 81b958db-85d8-4e2b-bf7e-464e295f02f1 Boolean Bool false 4fb51c12-d735-48e1-a92d-6d742c7e6312 1 76 1180 50 24 101.3332 1192.634 cb95db89-6165-43b6-9c41-5702bc5bf137 Boolean Contains a collection of boolean values 3d295017-2533-47a8-895f-ecacfd16571a Boolean Bool false 81b958db-85d8-4e2b-bf7e-464e295f02f1 1 2 2952 1009 50 24 2977.186 1021.32 cb95db89-6165-43b6-9c41-5702bc5bf137 Boolean Contains a collection of boolean values 36d91e67-b0de-487a-a854-cf15462b1d20 Boolean Bool false 81b958db-85d8-4e2b-bf7e-464e295f02f1 1 2 4301 1930 50 24 4326.883 1942.584 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 8d3cd1b7-34de-4d25-bdbe-3e07b199dbec Merge Merge 4521 1960 72 44 4559 1982 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 d19fd0a1-c746-49e3-8f6a-3cc5ba3ae9be false Data 1 D1 true 50bf3ded-3b94-4869-9300-e56c498f0c2c 1 4523 1962 21 20 4535 1972 2 Data stream 2 da69a09a-1283-4df7-add5-68050540692d false Data 2 D2 true 2da0ebeb-cfce-42e9-bcd1-041bec075d97 1 4523 1982 21 20 4535 1992 2 Result of merge ff29dbc9-4aa0-462a-8139-f6905f966a10 Result R false 0 4574 1962 17 40 4582.5 1982 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 50bf3ded-3b94-4869-9300-e56c498f0c2c Panel false 0 0 LengthFactor 4397 1962 102 20 0 0 0 4397.549 1962.836 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 2da0ebeb-cfce-42e9-bcd1-041bec075d97 Panel false 0 0 PlanarityStrength 4364 1982 135 20 0 0 0 4364.543 1982.47 255;255;250;90 true true true false false true 424eb433-2b3a-4859-beaf-804d8af0afd7 Control Points Extract the nurbs control points and knots of a curve. true a114795c-5276-42a1-a9e8-e96a7bcd4d01 Control Points CP 815 781 68 64 846 813 Curve to evaluate e51dcbfa-c00f-4c6e-ad95-a4825a18a9d9 Curve C false 4da22387-d701-4731-be12-37ea6f57a0b7 1 817 783 14 60 825.5 813 1 Control points of the Nurbs-form. 2069df2e-1e52-4660-aa80-e5c1743b212b Points P false 0 861 783 20 20 871 793 1 Weights of control points. 0856fc3e-5b46-4969-bee2-3a92af498b12 Weights W false 0 861 803 20 20 871 813 1 Knot vector of Nurbs-form. 35404ad0-77ca-4eca-83ea-bfac65f551f5 Knots K false 0 861 823 20 20 871 833 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true 2e4f8ca4-ad9a-41c3-a83b-b3c5ac9e634d List Item Item 1236 862 64 64 1270 894 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 a6c68e85-72ca-4223-9065-0d1b3ad9b403 List L false 8d10b8a4-f0bc-4dc8-8309-d1596e699162 1 1238 864 17 20 1248 874 Item index 6caefed1-4e3f-404f-a025-d168661ee279 Index i false 0 1238 884 17 20 1248 894 1 1 {0} 1 Wrap index to list bounds 93592414-cb06-494f-bc6f-fcf25aec804b Wrap W false 0 1238 904 17 20 1248 914 1 1 {0} true Item at {i'} 9cc4a053-c26c-4984-b28f-d30901de44be false Item i false 0 1285 864 13 60 1291.5 894 424eb433-2b3a-4859-beaf-804d8af0afd7 Control Points Extract the nurbs control points and knots of a curve. true 653ee7c5-6c35-4ea3-bba7-3fa249b2c604 Control Points CP 814 886 68 64 845 918 Curve to evaluate 7bf9a804-faf8-439b-aab0-c74ec0d2fc88 Curve C false 8fd56a78-107a-4d27-ad7a-482b7cb81671 1 816 888 14 60 824.5 918 1 Control points of the Nurbs-form. ee00748f-bc57-49e4-843d-10e50132b285 Points P false 0 860 888 20 20 870 898 1 Weights of control points. e39f547d-ed29-4937-b084-3b3061f0cf72 Weights W false 0 860 908 20 20 870 918 1 Knot vector of Nurbs-form. f214a58f-f667-4161-9ddb-6d84150415f7 Knots K false 0 860 928 20 20 870 938 59daf374-bc21-4a5e-8282-5504fb7ae9ae List Item 0 Retrieve a specific item from a list. true d1429c43-b28e-4eea-b574-6f4444c3a673 List Item Item 1233 791 64 64 1267 823 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 190d4a12-f400-4d48-80f0-588922ec0aef List L false 8d10b8a4-f0bc-4dc8-8309-d1596e699162 1 1235 793 17 20 1245 803 Item index 45742712-8ed3-45d3-9ca2-8ce292db870d Index i false 0 1235 813 17 20 1245 823 1 1 {0} 0 Wrap index to list bounds 483fe3d6-8340-428d-992a-c9468034183d Wrap W false 0 1235 833 17 20 1245 843 1 1 {0} true Item at {i'} 9dc4e277-c4d0-4633-babf-7f952848e707 false Item i false 0 1282 793 13 60 1288.5 823 c9785b8e-2f30-4f90-8ee3-cca710f82402 Entwine Flatten and combine a collection of data streams true true 752eb133-8f0b-482c-a49f-4494cc989334 Entwine Entwine 939 781 79 44 984 803 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data to entwine c5652da8-388e-4b20-84b7-40bb766933b0 false Branch {0;0} {0;0} true 2069df2e-1e52-4660-aa80-e5c1743b212b 1 941 783 28 20 956.5 793 2 Data to entwine 4686bce4-267a-4a7f-a267-68e4651d0b74 false Branch {0;1} {0;1} true ee00748f-bc57-49e4-843d-10e50132b285 1 941 803 28 20 956.5 813 Entwined result 320dce2a-6b38-4094-abf3-81015e87ae46 Result R false 0 999 783 17 40 1007.5 803 4c4e56eb-2f04-43f9-95a3-cc46a14f495a Line Create a line between two points. true 2f68a3aa-5607-4198-8f23-6623cb073ad2 Line Ln 1353 811 79 44 1384 833 Line start point d884c40c-3781-4815-91c2-b51602ec5a31 Start Point A false 9dc4e277-c4d0-4633-babf-7f952848e707 1 1355 813 14 20 1363.5 823 Line end point a773d58c-d59d-4ad6-b634-2979a40ace87 End Point B false 9cc4a053-c26c-4984-b28f-d30901de44be 1 1355 833 14 20 1363.5 843 Line segment 942ebfd8-542d-4737-a9d4-d3532a2abe9a 1 Line L false 0 1399 813 31 40 1406.5 833 41aa4112-9c9b-42f4-847e-503b9d90e4c7 Flip Matrix Flip a matrix-like data tree by swapping rows and columns. true d369cd0f-a057-48d3-840c-ebbd0abfdfef Flip Matrix Flip 1062 789 67 28 1094 803 2 Data matrix to flip 4bfbd3dc-90cb-4370-86a8-23c7e7f772e1 Data D false 320dce2a-6b38-4094-abf3-81015e87ae46 1 1064 791 15 24 1073 803 2 Flipped data matrix 8d10b8a4-f0bc-4dc8-8309-d1596e699162 Data D false 0 1109 791 18 24 1118 803 9333c5b3-11f9-423c-bbb5-7e5156430219 Rebuild Curve Rebuild a curve with a specific number of control-points. true 5299a8e7-c600-4d5e-9db3-a23ada938f18 Rebuild Curve ReB 1494 821 66 84 1526 863 Curve to rebuild 74332ece-3326-468d-8b76-28f72beb49a8 Curve C false 942ebfd8-542d-4737-a9d4-d3532a2abe9a 1 1496 823 15 20 1505 833 Optional degree of curve (if omitted, input degree is used) b2a86099-cde1-4917-8fa5-29d1c20845fb Degree D true 0 1496 843 15 20 1505 853 Number of control points 5a5d3ba6-b177-4b2d-9016-c2799da8709f Count N false 92030d1b-2dcf-48d4-b258-7da74c6d6880 1 1496 863 15 20 1505 873 1 1 {0} 10 Preserve curve end tangents b55f4bc0-a6e7-44b5-af3c-5676aa6a558f Tangents T false 0 1496 883 15 20 1505 893 1 1 {0} false Rebuild curve 0f782e13-d34b-4c86-8e4e-1718619c3511 Curve C false 0 1541 823 17 80 1549.5 863 1e936df3-0eea-4246-8549-514cb8862b7a Mesh Contains a collection of polygon meshes true 068f4e68-f09f-4346-9d9c-cc875f8593eb Mesh Mesh false 3bae7f96-a8a3-4148-9b67-fb0bb0c69af3 1 1717 883 50 24 1742.972 895.183 dde71aef-d6ed-40a6-af98-6b0673983c82 Nurbs Curve Construct a nurbs curve from control points. true 81134838-a3e7-44f9-b8aa-df65bcb0f67d Nurbs Curve Nurbs 484 771 67 64 516 803 1 Curve control points 765f9edc-2ae0-48ec-a4c9-3a6abc48db5f Vertices V false fb4198f1-1a32-43d8-a095-41c4d8e6eaf4 1 486 773 15 20 495 783 Curve degree 57825cdb-fa1c-415b-bd63-51dfceae7c4a Degree D false 0 486 793 15 20 495 803 1 1 {0} 2 Periodic curve 8a1ddbd4-7ea4-4ee1-a784-f2afeb2e2b0e Periodic P false 0 486 813 15 20 495 823 1 1 {0} false Resulting nurbs curve 93753097-a9ab-4243-8700-262f0af7d1ab Curve C false 0 531 773 18 20 540 783 Curve length ed0e3ea3-e83a-4d6e-8592-1294b401706a Length L false 0 531 793 18 20 540 803 Curve domain 0f2a3149-c76c-4fcb-8bd1-f949483ad5d8 Domain D false 0 531 813 18 20 540 823 dde71aef-d6ed-40a6-af98-6b0673983c82 Nurbs Curve Construct a nurbs curve from control points. true 13abcb17-779f-4a0d-9e16-4d71a2796d68 Nurbs Curve Nurbs 484 876 67 64 516 908 1 Curve control points 530e6024-a2ae-45f0-adbe-a90cb6644995 Vertices V false 88b104cd-a594-4ea2-a263-fd27c1380559 1 486 878 15 20 495 888 Curve degree a1f21239-694e-4585-a166-388522a9371c Degree D false 0 486 898 15 20 495 908 1 1 {0} 2 Periodic curve 214df3de-6994-4d0a-86df-b9d5e92f6fba Periodic P false 0 486 918 15 20 495 928 1 1 {0} false Resulting nurbs curve 4ecf353a-1966-4f25-b985-493c17f3fbc4 Curve C false 0 531 878 18 20 540 888 Curve length 9e0695d9-33f8-4c22-9eb2-55e0f6e8e7c5 Length L false 0 531 898 18 20 540 908 Curve domain 550ba4ed-6227-478e-a860-a7928ff2e9bb Domain D false 0 531 918 18 20 540 928 ce46b74e-00c9-43c4-805a-193b69ea4a11 Multiplication Mathematical multiplication true 583c7f86-aa84-4f77-af22-d0461f0e4442 Multiplication A×B 586 906 65 44 617 928 2 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64 4425 672 Mesh for edge extraction fe01d446-e4c6-4692-8b55-de6bcc6cef84 Mesh M false e44e10d1-f4df-4a97-b63d-2a2ba8097640 1 4393 642 17 60 4403 672 1 Edges with valence 1 (a single adjacent face) 587a495d-2eed-4d37-8b47-d356c3b47dde Naked Edges E1 false 0 4440 642 22 20 4451 652 1 Edges with valence 2 (two adjacent faces) 6f95e49f-6cf0-4b53-90a7-ba60fa047b15 Interior Edges E2 false 0 4440 662 22 20 4451 672 1 Edges with valence 3 or higher bf26cbc6-c5ca-434f-920d-4d0afb750c9c Non-Manifold Edges E3 false 0 4440 682 22 20 4451 692 e1d84941-0fd3-48cc-b46a-9954138d76cf cc201624-ce0d-d105-495c-210b876cef63 Mesh Pipe Create a mesh pipe. true 19a6e316-feae-4533-9db2-158c2cfa3eff Mesh Pipe MPipe 4549 640 68 124 4580 702 Any type of curve e55158c5-9edc-4b6f-a417-2b7b33a31cc7 Curve C false 587a495d-2eed-4d37-8b47-d356c3b47dde 6f95e49f-6cf0-4b53-90a7-ba60fa047b15 bf26cbc6-c5ca-434f-920d-4d0afb750c9c 3 4551 642 14 20 4559.5 652 Pipe radius 99a33ba2-6505-4aee-8989-a4b8f561809e Radius R false 0 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Change the nickname of this component to create a named output, which can be used in ShapeDiver's Viewer API. 5a7cc82a-ab65-4ef0-a65d-4ee10a8b061b ​​​​​​​glTF 2.0 Display glTFDisplay 5717 863 48 44 5751 885 2 All of the geometry coming in here will be converted to meshes, polylines, or points and included in a single glTF asset to be displayed in ShapeDiver's Viewer. 66a1f615-0380-46e7-8fb4-a3c703a28b1d Geometry G false d6115590-4ed6-4102-ac91-1e1a80d895fd 1 5719 865 17 20 5729 875 2 List of materials to be assigned to branches of geometry. b7987116-5914-4e82-9569-0cff535430d2 Material M true db043b96-fd4c-4cec-8922-314988d6b6ef 1 5719 885 17 20 5729 895 90b3afef-630c-4932-a143-938e8b7ba55b b9116316-c87d-4212-a382-bc40035939bb ​​​​​​​​​​Preset Material Choose from predefined material properties for displaying geometry in the ShapeDiver viewer. 50dab1f7-6894-4574-9042-bb83c34b56ba ​​​​​​​​​​Preset Material PresetMaterial 5377 873 71 44 5411 895 Material color a457d075-2704-4ab4-8ce5-fc7536f515e3 Color C true 0 5379 875 17 20 5389 885 1 1 {0} 255;255;255;255 Material families include: 100 (Basic), 200 (Plastic), 300 (Metal), 400 (Glass). Check out www.shapediver.com for more materials. 6f1a527f-e002-40cc-946e-8b92cafcebf5 MaterialIndex M true a42f7029-eac8-4418-ba58-b205378e25e0 1 5379 895 17 20 5389 905 1 1 {0} 1 1 ShapeDiverMaterial, connect this to a ShapeDiverDisplayGeometry or ShapeDiverDisplayExternalGeometry component. db043b96-fd4c-4cec-8922-314988d6b6ef Material M false 0 5426 875 20 40 5436 895 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values a42f7029-eac8-4418-ba58-b205378e25e0 Panel false 0 0 400 5255 897 43 20 0 0 0 5255.291 897.3852 255;255;250;90 true true true false false true 8e260f04-39c4-48a1-9b8c-bbec04a7088b b9116316-c87d-4212-a382-bc40035939bb ​​​​​​​glTF 2.0 Display Display geometry in ShapeDiver's viewer using glTF 2.0 materials. Change the nickname of this component to create a named output, which can be used in ShapeDiver's Viewer API. 165aee4f-6e90-4d9a-abb9-9f9d7fc7df25 ​​​​​​​glTF 2.0 Display glTFDisplay 5717 997 48 44 5751 1019 2 All of the geometry coming in here will be converted to meshes, polylines, or points and included in a single glTF asset to be displayed in ShapeDiver's Viewer. 4595e5dc-d3ab-4d1e-8f4c-d923a0c54c6f Geometry G false 1de1bb19-bf1f-403a-9d93-20de2d5f1849 1 5719 999 17 20 5729 1009 2 List of materials to be assigned to branches of geometry. 2c355bad-e906-4647-b20a-b240d30590e6 Material M true 0ed798ff-aac3-4825-a733-0b752e4c80d5 1 5719 1019 17 20 5729 1029 90b3afef-630c-4932-a143-938e8b7ba55b b9116316-c87d-4212-a382-bc40035939bb ​​​​​​​​​​Preset Material Choose from predefined material properties for displaying geometry in the ShapeDiver viewer. 5b7e58d9-f2a7-474f-9035-6b6ecbd3d569 ​​​​​​​​​​Preset Material PresetMaterial 5379 1007 71 44 5413 1029 Material color 1e684f81-f410-4ba7-926d-8d99712e799c Color C true b302b9e2-731d-4ff2-a24f-aa24baa23552 1 5381 1009 17 20 5391 1019 1 1 {0} 255;255;255;255 Material families include: 100 (Basic), 200 (Plastic), 300 (Metal), 400 (Glass). 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Accepts values from 0 (no metal) to 1 (metal). Can be modulated by a MetallicRoughnessTexture. f8fa6144-c323-414b-98bd-8df98d9f4a10 MetallicFactor MF true 0 5031 124 29 20 5047 134 1 1 {0} 0 Defines how rough the material appears. Accepts values from 0 (smooth) to 1 (rough). Can be modulated by a MetallicRoughnessTexture. 158c2c79-f7d7-4e5e-9643-6dd41412bf9d RoughnessFactor RF true 0 5031 144 29 20 5047 154 1 1 {0} 1 The metallic roughness texture image. Please supply a bitmap or a publicly accessible URL. The blue channel of this image defines metalness, the green channel defines roughness. 5f9c5e74-90f9-41ec-bb14-cbc4f04dd161 MetallicRoughnessTexture MRT true 0 5031 164 29 20 5047 174 The normal texture image. Please supply a bitmap or a publicly accessible URL. fca1a815-84d7-419a-b0d3-65e11464439a NormalTexture NT true 0 5031 184 29 20 5047 194 Defines how emissive the material appears. Can be modulated by using an EmissiveTexture. 0d122193-d3aa-4aed-b9cf-a28e504dd38a EmissiveFactor EF true 0 5031 204 29 20 5047 214 1 1 {0} 255;0;0;0 The emissive texture image. Please supply a bitmap or a publicly accessible URL. c471f9b6-e56d-4f7e-93d9-b6dce6db89be EmissiveTexture ET true 0 5031 224 29 20 5047 234 One of OPAQUE (ignore the base color alpha channel), BLEND (use the base color alpha channel), MASK (don’t show parts whose alpha value is below AlphaCutoff). 10eb5fdf-99b5-4042-8a97-3b01d8d09bfe AlphaMode AM true 0 5031 244 29 20 5047 254 1 1 {0} false OPAQUE The alpha cutoff value of the material. 12ac5211-efd7-4f40-a1f9-c1445c57a5fa AlphaCutoff AC true 0 5031 264 29 20 5047 274 1 1 {0} 0.5 Specifies whether the material is double sided. 0bcdc28b-73c3-44f7-b842-f1b4430a0c93 DoubleSided DS true 0 5031 284 29 20 5047 294 1 1 {0} true glTF 2.0 Material, connect this to a glTF 2.0 Display component. e28d07ec-9c38-456e-b9cf-31f53e1c38cf Material M false 0 5090 64 20 240 5100 184 9c53bac0-ba66-40bd-8154-ce9829b9db1a Colour Swatch Colour (palette) swatch 83e0a383-16eb-46cd-8b99-1bd2a6defa2b Colour Swatch Buildings false 0 255;243;191;255 4905 85 98 20 4905.141 85.68256 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 044c2715-135e-4c83-87a0-37c1897b71e3 Merge Merge 5559 152 72 44 5597 174 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 6efa9a31-5a3b-4780-9392-3679911ef0fa false Data 1 D1 true 94de7e3b-21b5-461a-8139-3c828a604274 1 5561 154 21 20 5573 164 2 Data stream 2 17ad15fb-df24-41e2-b095-fc88cfe38206 false Data 2 D2 true a735acfd-e140-4a7a-8df5-ede79aad6645 1 5561 174 21 20 5573 184 2 Result of merge a7c971d9-29d7-4b8b-88b7-3c44cc994c1e Result R false 0 5612 154 17 40 5620.5 174 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 55920665-490b-4051-be8b-a392fef1e13e Panel false 0 0 material 5133 269 76 20 0 0 0 5133.427 269.4975 255;255;250;90 true true true false false true af9d484e-284f-462e-9e03-9552e159c53e b9116316-c87d-4212-a382-bc40035939bb ​​​​​glTF 2.0 Material Define glTF 2.0 material properties for displaying geometry in the ShapeDiver viewer. Please make sure to use publicly accessible URLs for your texture images. Once images have been accessed for the first time after uploading of your model, they will be cached and the URLs will not be accessed anymore, and can thus safely be deactivated. fd909fc7-c3b3-4f04-a804-aadecff4ed32 ​​​​​glTF 2.0 Material glTF2Material 5029 315 83 244 5075 437 Optional name of material 06ba2170-e86f-4489-90c7-d122b5fed64c Name N true 0 5031 317 29 20 5047 327 Base color of the material, its alpha channel can be used to control opacity. Can be modulated by using a BaseColorTexture. 44cfc1fe-3e8a-4d93-9473-fb275c2108c3 BaseColorFactor CF true 0a01a3c6-40ba-45b3-a714-ad257ad64359 1 5031 337 29 20 5047 347 1 1 {0} 255;255;255;255 Base color texture image. Please supply a bitmap or a publicly accessible URL. Will be multiplied by the BaseColorFactor. 9abcdd3a-08ab-458e-8876-b76f6e647ba6 BaseColorTexture CT true 0 5031 357 29 20 5047 367 Defines how much the material appears like metal. Accepts values from 0 (no metal) to 1 (metal). Can be modulated by a MetallicRoughnessTexture. 78fe9103-beb3-47cf-bb5d-b91355df88ba MetallicFactor MF true 0 5031 377 29 20 5047 387 1 1 {0} 0 Defines how rough the material appears. Accepts values from 0 (smooth) to 1 (rough). Can be modulated by a MetallicRoughnessTexture. c2e8d009-dd61-48f7-b542-112c640bda1b RoughnessFactor RF true 0 5031 397 29 20 5047 407 1 1 {0} 1 The metallic roughness texture image. Please supply a bitmap or a publicly accessible URL. The blue channel of this image defines metalness, the green channel defines roughness. 5be1480d-35ba-45e5-86f3-4bdf30aabf03 MetallicRoughnessTexture MRT true 0 5031 417 29 20 5047 427 The normal texture image. Please supply a bitmap or a publicly accessible URL. 59a1d1a2-5e01-49b5-bfff-5fdb02a0c84e NormalTexture NT true 0 5031 437 29 20 5047 447 Defines how emissive the material appears. Can be modulated by using an EmissiveTexture. 5b43b287-409b-43e4-801d-5fb7409c7a43 EmissiveFactor EF true 0 5031 457 29 20 5047 467 1 1 {0} 255;0;0;0 The emissive texture image. Please supply a bitmap or a publicly accessible URL. d50cb0f7-e49c-4e1b-bce7-5a6d76ac787d EmissiveTexture ET true 0 5031 477 29 20 5047 487 One of OPAQUE (ignore the base color alpha channel), BLEND (use the base color alpha channel), MASK (don’t show parts whose alpha value is below AlphaCutoff). 76aefa8d-9c51-40d1-97fe-81683652b515 AlphaMode AM true 0 5031 497 29 20 5047 507 1 1 {0} false OPAQUE The alpha cutoff value of the material. 65234c87-a1ba-4720-a020-b08a607ac432 AlphaCutoff AC true 0 5031 517 29 20 5047 527 1 1 {0} 0.5 Specifies whether the material is double sided. 08b78261-b00a-439a-94e6-6c36e354e0c9 DoubleSided DS true 0 5031 537 29 20 5047 547 1 1 {0} true glTF 2.0 Material, connect this to a glTF 2.0 Display component. 003000d3-e2d6-42d9-a77e-da2120ea2fec Material M false 0 5090 317 20 240 5100 437 9c53bac0-ba66-40bd-8154-ce9829b9db1a Colour Swatch Colour (palette) swatch 0a01a3c6-40ba-45b3-a714-ad257ad64359 Colour Swatch Roads false 0 255;255;251;133 4920 337 84 20 4920.154 337.8261 8e260f04-39c4-48a1-9b8c-bbec04a7088b b9116316-c87d-4212-a382-bc40035939bb ​​​​​​​glTF 2.0 Display Display geometry in ShapeDiver's viewer using glTF 2.0 materials. Change the nickname of this component to create a named output, which can be used in ShapeDiver's Viewer API. 802c993f-aa14-42b0-bbc6-0b7a22919960 ​​​​​​​glTF 2.0 Display Environment 5717 162 48 44 5751 184 2 All of the geometry coming in here will be converted to meshes, polylines, or points and included in a single glTF asset to be displayed in ShapeDiver's Viewer. c0ac7fb3-be13-4f67-869a-0d5ddccdc82f Geometry G false a7c971d9-29d7-4b8b-88b7-3c44cc994c1e 1 5719 164 17 20 5729 174 2 List of materials to be assigned to branches of geometry. 42ede97c-be66-4d31-a5cc-69c783a85da1 Material M true 0 5719 184 17 20 5729 194 1e936df3-0eea-4246-8549-514cb8862b7a Mesh Contains a collection of polygon meshes true c51bcabe-4b01-4c70-be34-e00b255ecebb Mesh Mesh false 0 5335 144 50 24 5360.882 156.1146 1 539 {0} 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7bt5VI3d//9/7ctNhojbPHXMGdIgRNPhDqHIWEgDlZIGNE8nRCFkrEh1kzkNSqLpSAhp0iSpkAaNcppPdb7Pfdz3Z73fn7V+v/X94/fPb632a7Wfj9drv/a+9r6u61zXvqyFIQzDiFCo0iLJotLfYrnf1k7TzsbGzlZ2mp75Yfv9drbqy+QWKcgtWqKopCSnuFhBQVF2mqajtYPjYXN1W3NHh8N7rGWnbXLca73fVNvcdZvdAXNb9SVLFi1apmi+XNlUecmSJUoKA+lRRosHl9Myt7MxdzjsKrfB3N7yD8QlnH4fZ+iew6aW+53MlcxshtgdNLe1dTy81/4Psz0Oe2jS4MGDWTrFkTIMowY9dGHT+SEDAFK08ljJMGy3F8scXPl7OUIRy4z5Z2nfC4o3av3IH8WvYkZ6kxk/Fz6bvLsH7cv+yV32EwMvx1Q+TFUKTemsEv0/KfNvOaJotjBabYWuQZyRm8OSFczfcq7KqW4rmP9VzHU/pTsMif2L8kSprPTwxXV/SY6/BP8I9z/++P/x979i/xS6cC2GMOthG5hhYC0x/dYRjDZ4A2opRofRQzv1dJiBYD0xUd0DXwdmzowC7xHTb5VizMAejBsznnFnTuC8ecDcGQnwCTFRPQ/fHXaZmQg+L6bfOp65BL6MegRmE4J26q3HfENgl8WxEGYa85CJYiKYu8xkaBS8P8B3xUQ1gRnCRMKi0J4Ao0Q1AhrJzIBFMhnMK+YFMxOaAW8I+IWYqOYyg5jXsAy058IoUX0Ffc1Mx9HuMQ9wnJvMSugDeFPAN8VENZrhMPdhD9AeDaNE9S70PuY0hQln7iAvnPmLuQW6g3o1cxuRO6hXwvuLGQrTRPQWjBLVGPiasKnMKnCMmKiuRK9YjH8b7TGgWNSrmEeIxKLmwB4xT5g41KuYx6AnqDcz8Yg8Qb0R3iqMNJXRRfQxjBLVJPi6sOHMJnCSmKhuRK8UJhH1ZngpsCRkJCOSgloaK7zPPMP5jkPmM9h9zCAORolqInKewp6hPRFGiWoC9CmuhSZWvAa2DjOh66X0Wwnu0nUwLdyZazGfqWJvLeZF57lOHNNltsJfC9vBzAJvFdNvHYa7dwdMD3ewPrML7dTTZyTBu8REdQhm8RL3QSqzBfoSnjQ4VUxU3zBzmHTYS7S/gVGi+gKajntGGmchDXnJOCt8UBrq7cxzRNJQb4G3CTMcjhltB/PFRPUtfDrPWcw28FsxUd2CXpkY/zna34IyUW9j3iGSiXoO7B2Tw7xHvY3JAuWg3s1kI5KDeie8bRhpFla2G5wlJqoF8Ol6JRkDcIGYqO5EryImH/VueEWwAmQUIlKEejZWmM58wO/hPTI/wNIxg/cwSlTzkZMH+4D2fBglqrnQPPy2BqEuY0qZYsYQWgZvNrhYTFS/MvOZz7AytH+FUaJaCv3MyCC7kPmEvELM6iPoE2oTpgSRT6gN4RlgJZKMEaIfYZSofoNvBJvLGIO/iYmqIXp9x/glaP8G+o7amKlE5Dvq+bBKppapQm3MVINqUe9nahCpRb0PnjFGmstYIFoNo0S1Eb4F7E/GEtwoJqr70KuZaUC9H14zrBEZTYg0o56HFX5m6pkfGH8ftB7efHCVmKg2IKcOVo/2Bhglqj+gdcxIrEsSd7I+Y4qZ0PVS+q0D8ZQ2he3Bk3sv5jNX7O3FvOg8TcUxC+YA/L0wO2Yh+ICYfusoxhY8EkdpZ1qZn4wVtB3ePPBPMVHtYuSYNlg72rtglKi2QtsYWWQ3MQLkNWHVLSABahvmFyIC1FbwLDGDP3FEG3CLmKh2w6fzWMhYg7vFRNUKvXow/i+0d4N6UFszQkR6UMvBhAxDelFbM30ghvQxhxkR0wsWMQcRs8ZIC5lDiPbBKFE9iJyBZAByDjN/kIFEFrNnCcFIB6EsacPIvTBKVKfj7fCFKcd9KgP9Am8QuFRMVH/gzFXAvqD9B4wS1XJoBbMAVsF0Mh04T7LQTngjwa1iompNFqDVhuwnw8lixpJMIKOZEWQEkSLyzAR4lKgOh45AxmK0ziVzyEyyhJkLGoH8mfAoUVUkgxkZIgN/CaMIjxLVOVAZosSMJIuYYWQYkST24JFiojoUOgzHHEIkiBMzmAwiQ8hg5IyC5wBTYBzBowglqvbIGY1+g9E+CjQaMUfmT0RGkz9xjEXg8WQM2JEZCxpPxpIjzDhExpNxxBMxR4ykwPCYI+CxhBLVKcjiwcYxXswUeJSoeqKvNJmMvkfgS8OmEC9mKiLSZCpRZOSxqkk4T2OQOQk0DHMYA48S1cnImUgmwvdkJsOjRHUCdCLOoSvjjJ2NC46sAHYFjRPPw1Uc4zHH4LvAfJml4GNi+q1jsPvxhZ3ADsiHOYV26vkwY8GnxER1NI4+G9eHQ44ys0ETMR8OPEpU55FlzCwyC/5RZh48SlRnQmfRa4m1zkDeVKx6GmgGmUaOM9MRmUGmo880xMfBjjHHwdMIJarzkUXnuZTxZubDo0T1KPrKYvzpaJ8PkkXMm1mAiCxZgLksAyuQhWBvRg6kQOSIHyOPiAKRJycR88ZIS7EyP7AcoUR1CbLoescyp5kl8ChRPYm+ymQx+vrBV4YtIaeZpYgok6VEmVmC1SvhPl2ITCXQLMxhITxKVJHHLCKL4J9kFsOjRFURugj3/GC0ahA1soycYTRAi5C/DB4lqn8RNUadqMM/w/wFjxJVNag6Wc4oYy6qyFuKWS0HqZLlxJ9RQUSVqKDPcsTHws4y/uDlhBJVTWSdhakw5xhNeJSonkHf1RhfBe2aoNWInWNWIbKarMJc1MDryBrwOUYLtI5okSBmLSLryFpyBbFzGEmFCWCCwFqEEtWNyAqATWICmY3wKFG9gr6byAb0DYK/CbaRBDK6iGwiukSVWY7V65D1GP8KowNSxxzWwKNEdQNytIk2/CvMBniUqK6HapMJWOFY3Mk+zEXMia6X0m+VwC7/Iuw8dvYXMDMVsXcB86LzvCiOBTDX4F+AhTJc8DUx/daJ2P2HwkLwEF/D/I126q3BfvFvWKg49jczAbPTJ9vJZnKV0QdpY76b4VGiuousYPSIHvyrzC54lKhuh+oRDUYV52Ib8nRxVraAtpEt5DqzFZFtZCv6bEF8Euwacx28hVCiaoAsOk8uE8wYwKNE9Sr6GmL8rWg3ABkiFszsRsSQ7MZcVoD3ECNwMGMM2kOMyQ3GBJE9xISEIRaMkbhY2Q2wMaFE1RxZdL1D8b1gDo8S1TD03UfM0PcG/H0wc/IXvjbMQOH4+tDA6k3JXowfxpiC9DAHI3iUqJqRKfiSuYe2MPQxI5So7kXGPXz9KOGtsZJw8XtYzqwEyeA3pQaPEtX1uAdWkBXwlzPr4VGiyoWuIOqMOlp3kh043xrMTtAK5G+HR4nqXvIHvuQeok2D2QuPEtUdyHiIrz877EIOwazIAWILNgNRtSJm+AKVAo3CVyg1M4bGtdFC4wPJH+hxgBxiDoAoD8Bbnb7hDxBa7DAm3QcchtL2g8wAQt/ztgztQ4834p+v6Ev4Uh0PHQG6hK9dZ3F0PIgWD/husDFQ+v2rjTwrYoX3obP4feGK9wZ9T1oQZ7E6ME6MBN6lg4gF3qT0rToEZIF8CbEy6EeVYC4DYJ3YH4gnTDrE+wRrUi7ePXQgyuILfzp2FNbEmkxDTX0b1NSn1IGsV8igvjWZAX7F0MwIsc34px/LDIARnBfafyje9VLYU1ji2u3AVZDETO0Ze2YQaCjMAn80fyhyhsMssXfg4mpbYg8yh1BTwm7FEi37xXmWqPeDLZFD74ahaKHxHTgyzbOEUn+QeGwLEk/syFNYEnEFx4vpt3qQZ+Ak1J4kkbxEO/USiT34pZio5sBPhOUTL3COmH6rJ/kAriO15AT5QQTkGLgO5AgWiIlqH/wfMJb1BfeJ6beewAmnhbAemM0wtFPvKeY7jB0mJqrnyCR2CjuRHcueIlNAk9jDZCw8SlRns85kMjsZ/ikyGx4lqhOhk9nz5Dxal7BKrAJ7gSwBTUa+AjxKVDVYB7KYXQz/AtGAR4mqEnQx608Ok3HsBBxnJBtNJoDGsafJSHiUqE5lz5Lx7Hj40WQqPEpUx0LHY06nySh2DPJGsTHkT9AY9k82joxGZAw7Gn3+RNwF9ojEgf9kKVGVRtYjmB+JJdLwKFGNRt9pGH802qVB0xCLJRxEprEczOUseBY7HRxLZoBmsTNYPpmJyCx2JpuMWCxG8iMphA+ewVKiOg9ZKTB3kkrmwaNENRl9F7Bz0ZcPfwFsHptK5iOygJ3PniGnsHoZnO/pyJQBjcccpsOjRHUucuawc+Ank7nwKFGdDZ2Da/EIa38MS8Cc6Hop/VY73KUJsHjcmU8wMz+x9wTzovNMEMdSSBr8J7DX5CI4TUy/1RV372vYS9zBr8gbtFPvFXEDvxETVWfMbhHuA1n2OVkEmoP5ysKjRHUpe5kosorwn5Ol8ChRVYAq4p45g3Mhj7z5OCsLQfLsQjadyCEiz8qhz0LE3WFpJB28kKVEVRlZdJ4XyQuiDI8S1efouxzjy6FdGbQcsRdkGSLL2WWYy2WwOqsCfkFUQeqsKvuOqCGizqqxGYi9wEgXsbJ3YFWWEtW/kEXX60bekr/gUaKagb6r2JXo+w7+Kthf7FuiicgqVpO9RC5g9Svwe1BB5gqQIuagAo8S1ZXI4bJc+BlkJTxKVDWgXPy2HNCqza5jV7OZRBvERf5qeJSo6rJBZD27Hn4m0YVHieo66Hr2CrmEuaxFniZmtQa0ll3DZhMtRNayWuizBnE32HuSDV7DUqK6CVnvYQEki2yCR4lqJvpuwfhaaN8E2oJYFtmMyBZ2M+YSBNZjt4KzyDaQHruNLSbbEdFjt7MFiGVhpABSSIrB21hKVA2QVQg7QoqIATxKVAvQ15Ddhb7F8A1hBmwR2Y2IIbubDSRXsPqdrD7GLyA7Qesxh63wKFHdhZwd7A74BWQXPEpU9aE7WB5W6IY7+RXJw5zoein9Vns8pfNgOXhy52JmAWIvF/Oi88wTxwpJCfxcWBkJBpeI6bd6kc9gHo5uxu5ljdiPxAy0A/MxgkeJqgV7nZiypvA/Egt4lKjuhZqy10gg1roHebuxamPQHtaYLSUmiOxhTdDHGPEjsBJSCjZmKVG1RBadRzD5RCzhUaL6EX2tML4J2i1BVoh9IvsRsWL3Yy7XwbbsAfAnYg2yZa3ZL8QGEVvWhi1H7BNGCiYV5AvYmqVEtRw59uwh5Hwhh0HXsKqDrB36lZODIFOMfQAeJar+eGtsZHVwn14hG0GLca+vg0eJqj6uzQZ2A/wrRB8eJao60A3sVXIVrftYc5yna2QfaAPy98KjRLUMOeZsOVuBvy/sV/YT+5EtZkvw587eJEWsD3uUeLAerCcbQnzgUaLqDvVAxk20BrCX2QtsOAkAeSD/AjxKVMNYJ3KFvQI/nITBo0T1MvQKe4Pw2L+JK+vKurFfwTwxUXWBuuKYzqwj+504sQ6sM+uEHC9432ChpBLsxVKi+hU5R9HPCe1eoKOIVZIjiBxlj+AYf4NPsMfAlcQbdIL1ZpvIcUROsMfZesQqMVIoaSBNYG+WEtXTyGqAHSeN5DQ8SlTr0fcMewp9m+CfgZ1mG4kfImdYPzaMhGBVJ3GejiHzJMgVczgGjxLVU8jxZX3h15NT8ChR9YH64hzWkCrsdKpx5FBwDei4eB414lgD+Qm/GtZGboF/ium3HsNuqA0mwI6olXSgnXqtxBvcISaqR3H0S7g+Z9lmcgnki/mchUeJaiB7h1xkL8JvJoHwKFG9AL1IryXWeh55flj1OdB59hz7i/gjcp71R59ziB+H/SS/wOdYSlSDkEXneYu0kCB4lKg2o+81jO+P9iDQNcRayFVErrFXMZc74FA2GNxCroNC2etsFwlBJJQNYdsRa8FIt7CyLvB1lhLVcGTR9XqTThIOjxLVdvS9zd5E3y74t2HhbCe5hcht9hZ7m4Rj9TdwnwYj8wboIuYQDI8SVeSRv9m/4beTm/AoUQ2D/o173gmtD9kH7B22mzwE/Y38O/AoUY1hH5AINgJ+N4mBR4nqA2gEe5fcxlzuI+8WZnUXdJ+9y/aSe4jcZ++hz13EvWFC0gu+y1Ki+ghZQtg90kMewaNEtRt94zD+PbQ/AsUh1kNiEYljYzGXB+AE9jG4h8SDEth4dhD7BJEE1APg9WCke+QPRONhlKgmw/8DdpIMBCeLieoA9Eplk1APgpcKS2YHsimIpKK+T+5i9YnsU4w/AJqINT8gj+FRopqEnGfsM/gDwEliovoU+oz1wQq9cSe3EgYzoeul9FsdsevHBxF2/75EhFneE3sicpLQeVKiOhjzFMEk2UgyGB6l3+qL7wFJ2DDWDrvDEWin3mPsH0ewI8RE1Qeze8Wms3xWAvoKc7pP+PAoUX3DRpGX7Ev4EuA3YqKaDn3JPiT3SQr7AnkpOCvPQS9QD2XTEHmBWgLeQMzwJOY2FPycpUT1LXw6z0gyBPxWTFQl0CsT46eh/S0oE/UQ9h0imaijSBR5x+aw78FD2CxQDmopNhuRHNTD4Q3BSJFYmxQ4i6VENR8+Xa8LiSH58ChRHY5eBewH1FLwCmD5+MIYhUgBvkFOk4dYfR6bi/GHQ/Ow5ijyHh4lqh+QMw7fNnlo/wCjRDUXOg7fXjfw1ohmI/F7uEuiQVfwm3oAjxLVp7gCUWwU/LvkKTxKVCOhUWwEiUBrBvsa5/shyQBFIT8dHiWquTjGJHzbZaA9Fx4lqq+hk/A16ElK2Q/48vyMv1K2lM0XM7UK7FbKyGf2szheynriy/YZ4l74Ss3H124pS3179jCLHLYCmYfFfAhve3u81w/hbW/HlmEcuj84hEg5KccuoYLQPDu00344EvpWEFuMSP+BwxbfsbUwW3gnwLbgKlgd/mi8Ds996hcik2opvnZtYd/wxqDvNUe8Kb/DqhApZAvhObJUnfHnCPtK3PCOdRBHqLqAqNYgn463D/sHO/HMzdl94h2FHfYLX7B/0BHvMsrwJetPqOkgVoaWg+Qr9hNfkPcZfJBUsNQvwxcz/Vo+RyZiz1EBvwKRieIdSJnYK8HZP4cMJbFfgshBcoh8QYY5rAjX9jWuUhH2DpEstQjsUoqwH3HBjoTuUjxBLuwhrNIFe5ki7FEuY7dRhL8buKvcsbP5CPuEkQ9h3HOkhKXj0Qj16c6HjleCPxp3R4uLeDfiIj4f39gqtpL9zlazP9gatpZtYpvZRlg9/prFXM82wJrZOlA9u2Imw+zXHsghzBFmhfuQ3/805fLJ5prxSUP9ia/kT7hOuDXT5fmWIUuvGJ0eeyzt/IC+qyVCq5iUy/ckd3DOfTDR9N4hr+d9ysdt8wenW8ffrdy8aNQ8HY+Rf4469Lzb5PDQK/cTLi17G3nlkaVDzKB3yYPXeLZE2celxst1tpu2lKXwBY3x/BQLJT9u0qcpYSLXZhvnwpRXWsrBnsVG1w7muReXamU9Kyx2C9lYw1u095yXQ8HD3g63yeGdKtrRSm3NqZtW98ja1VQFamWVZ0UoVb6vc1Ro9Vdzv/3s1+3xpS6PcgzMMisy/IMkeIpnnj2fxB/qk92iXqOfkNm5MKjF5GzFD/WOt5sFLuqR/q8vn7ObrinqdNfK8uRPTmj5pnJpVPSUorhqw5xrESN8bJckTNIbZ2xWtdU8M61YsWTXrOAFitUN2es9Zu6oWCLpE2V3/9io9EOh1ye/XGaSuXCCSqW8XNtM6Yd28t437OWMwxM2OlUmmLxWDSu72lzmaVaQfKimQSXxXPxMTZFNr5Xgkm7KokqLl5syVC7ekO+zj+uqTuFfbVHae6s4remqTI1TnFV88NUBe9/kbvc9+3CXzSpJj7985OyiLTy1pzbw3Ou/79IbXhxrtV1CU5lrVmocYH9le86NjuGZN9482FPl+dxqe5BIu3Tm7Sq9jwmB1aJGM885JQmzImxijQIfajyRH1oqf+Ls1lXvf221eKFt0mUxe4JKzTG5HEnvG3EjbHSHhW1LS5WwU/NQqR5okOV9Q6kvWkJ3ldqO1El/aFqE5tqcPeYpX3Go0fLMkKVSiPSUy8trqe0wapTQtBiRW1W4aILKgcL2n6VtLUaPHp83lYvpmoWTwxXme46SCqhJSsu9OtmhutKzusDbfe8UBa9hARbj3PQDtLJmytxNWatx4Vyfpk9Un1pFfatWVpy8rpf2GtH0mWvUn+ULP6dttq8U5AtOnin/qz2u4XW6fXXYszdE0az2V2GkrOjzuzMr+TM0i5/FBF+VOTzN3Sup8tPGAC+nvVNeXrqRqW+ws6/k9ITWFYscQpZMVpR3mzYxMTuw7WFiYVq5UuA4OXPXH1ven5iwyMG14a+AQLlVkt3zkRAf/zA+yjtFKszt4JJM04idqQ+8b5SWhERqmUc2K2S6L+DxY9sexPYsfSzUMY+fH6umVzJROSbO2uTArqsWg5xetzXK1hvYaBtUpJaFr4/Yvqfe4NPE4vi4hwfi51svTOQFxsU9rNTQeSLfYPskxDrlYpdaibrC1eiLZS0XQyrfFilSDG+QjZBNXatXaua8PzPyZ1LFxRB/7aXNWx6+ei2oKxytZ6wyWjLEfqW+/K4hPtkqK/RFEwcJQwTGwjA/17TqHJPaM8Y9X5VGSenxVaZKhrj+pcyVED7rcqgpVZzzsV1bofWjcfBdB4mgGLcvQ6q4eVcHOLQ9X6ngUDQ0sfG+CdevoiM8+mWySenWtNyJogh53vRvaXURWrgjdGuLJI71enjVamrt1YnpUsAFNg4T6bz0LowIRLNEbV1hr0ntw7EObXWLPoruLGv3TVeU/9i9TqH159cuzV9fjxeWxnksy7sq41DPTeNVuHR3+lZFDDHwuhQ9R6WyouuRFG63mlepJrXvSWK2ny2dkUp9pXNQvLPaSPujkcqDcNsd5TecdYnJDlH/547quBkoVz628kiXwc9Huv7XjLlF7bfLhR1nrmlJJRc1rVzk9uJbo7NUsp0C78XU13/n+NV/t5tW4VZlZd+UxU1wvhWccyZ4/IjP1hnTZ1b/ksjY0PGZ+2nCq+KdbiH30wUFFq6qoi+p9VllFZ3C98vi3KZK9v4cHZxVUu40Wb7d1c+6S9g5ynuX4qCHLREmtVMq7H1kugwUKtMm8fNVXUVPXWsP5Hdb6vzoHLeoVevcmeAQ5bv/V4+bQTxTyf982OSGLR/x8fAwn2yX1rmvvdsazRUcsqsOHO/NrDg2sfkMf2pfa1h9lnzzVUOt4kdOZrXOoR+tjCpECRO5M31Uii5I9n6su7Kvzd3ufedExQ/1Jh2SfWs2RTop2a+QnJhYF3Nhe8TZk0d13+RWNbY9tLvvXWb31D3C58DOeNzzwZzYRvnMZ+8e1OQKfao2mRXG/NIwiZ//XnS78cKHwwsaSrUFIqdYjUsNBhcLl+6M1tbjlI4/0Rj44vW8GYOcua+PVIVdMam9PixRTUmS3qWBug9MKryfZh4yiilUw71zqHnvfz9eKs+9VEyrPorbN8PTp8XENZ4jGbJ8RaB+pvimKspwH9g06/owaw3c8y6fORP+87kyqEYjgwgSTFz33XDuU6+s7tDVcb/gMWNqr6+kYa9rakdTb2X1F+c7/NnhovOjwkPVfuj7ZmTtVjork5BSv1S400d5ZJeF3GF6SjwcF2RyExaZ5ka/yXWUa9hXfWrKm/KKn4NmiBpeLjspoxkY/SS2J26sYu1Rs1qVA0v3GokfLvL1Ox0jvFMsvg1fZZQ4xn66j6ShdNL5qtvDRnmnrveJsrdZeCCy3qQ53WXAhQy9OA88wRPiVA383+2q2BPQodfDM6/fbt5lY9lx9Z3VdjPXh7FKtiYWJc+LHi/KkWw4U1+6syjhU8CTVM8krSt6ES+KEh4rRR2w2Flstf3jLodeOQuLnRmeQdbGH8usVUvcZgtcY91NFhnPTqqcrZpxKdKUolbJTr2dHhcePnnb9CHA4Kszf7YqJ9C6/PYOv7M1hREyD1Md5tC3QZTR4z8lQxwtc9JquekmfPtvw48LjmWF4UHgrzzytXdh9EYJerWyctJ4tmgzPWbD/0PTvzfedb3zkSEREqGb+kbjiulLTcFFjfwUt8N9/secvclHDxrF4MmCyzp5cOV/P0sQyfgjWAoBabtpZyQi9OXF75PCCGFa7s6I9uyRKYmS7fx5Pwe9cE0r0j12w1cqh3NRSuZheWhV+qlstRsGoiHtwkHlK17oj37SN8d4g8PryuHHW0xCxguP0QeSinyieJwR9kkaPN+0yYNrWAM73IwuyUcVpB/aW+gqOFQPCunqTBncPH2KxPuKY3xeztOuvkob47rezojK6l8vspykLuaNflOr5Bs6SXl8c0idWW0ff8aU0XbzehZms4dCOg1iXgUZzfLSdm0Y7WVt1NNR5eSxyMHL/VBZhdO4RpGBx5Ti3pQ3Fa7JGiJ5zk8R85HN6yv9g6dO92PvipYfE+/HhpB/92ON2xWHsoojHz9KiP8pczE5vfxxxyCOyczBqX/5Ld5VNn2w3oxvEk2rRDdCZnz/OLskU1rnwbyLZSVvzb45Z4+7pLW8U1bk7Xv3WYihUeSyx2FbMiS6Dyve3qdjbOsZNWL39bpzW0I2LAmvfrbYRC5ht92Ga95LbT90Dch5rvTBa73xYQMlCcuBkYkF88crZ00cmLNigeUJ2YvLkoyW7HOwb+dwlM/uNCo9ZMm9vfGe/PitVq9bq4pq6p6/ut80t7Bkm5JVqPaA6sOZbUW3lltWzgnh/pRUm9l7t3V2whL7I3q5D7QjDx/Kv775p+TjY3pvbu623/wzTu7Bj06Te52pdu8aS7Zv6zEcNtm74tqK9Z6lw9ZfPzKeYXq6ltiLz07g4H/Pzuogd8si8zEZFQXWSgcsk6/oFb2veuemnXi20ZN3YHbvIqXzY6+U6V2dnbVt/lfzvNW3fByWPKy1VdaZfmLSh4HWkyL9DKfd2Js2Z93+j4uvfJSNrRF4Zu8U1qR3XBdcr3EKFbjvvLFp7hmrt8ERyrJDw3e5xR49ZxBrOX9Fg3fz1JA9un1q2iqB5bFP54pEu69M9WjL/NIiqt+9St/u49aNvNout2NZHGuP56mVny4WDczvvBnU4P5Oo/l2pc9izkup/E7nOP4a6Vy3D09v7ZRY1cyNWinUfr+6Z57dq1/bZXXlbtpUPIm+mTN6S9/NmuFORk+i1XZIl0hZ2xTwTHbprlt113HM6oaXdqWbI1wsBScte5p7t87m6tRP+ZCY+73F/r5qinG9T2eIxBNe0PDsH5M15Iuvj17Fsdql7sH/mHd9/Cr/vtbPXzr81H/sbrWveGLqGND+aJerY/mF2sfl2bKN4VudQpxnqZTZvyq64MfjOt5NKEn9ZM15dvKJIF5lbkny6lLjt/UlHeM/pJ42ik5rH9uw27twZ4xg6P4QTSdRxLHCpC6BifCxSo53ZEXdjbvWjsZPPMwbRGds8zxfOPSdnXFNrdahafaoLLe8H8l+N4sLm67UzOM89vSz7OHqPgjk3BHeG5v33veJ/aiUEfxd7sder1TVH3VWFD7M6rvvD+mIVYtd835I+zr0WbYf3ddrlFG/1H+TtGVNpFCzkiuqKks0DmpKMV6lJHWtx6j5VVTzWKlT3j8+J8Xxi5q2TL0r2Hit27e2lcd971N9bovoSAH3ZWi5TYNyQth87rZeLTfOp5RfvbIhIuG7Be63HjeZbgjI9jrb4Ma5EBvBeVjk8f1EHy91l3BvQLZo9asD5Wv3l2Vc2qkikjGvMVxZUqilcsXfeWDefa9t1txntc22ZdXmTlKZl7XakaedVKaZ1ODmTweKL1lefZNfvFc/okw7okxLbv1djf2e9/Oyo806Cix7+WY1Wx8L5+30ku9OOe4gv7peO77I16rx82mnpvhyrUip7SUale7FXdtLOvbO3aF+3IF3n/PSbZief1rd/Fv2tVLtU4cWWXiX6ce4DW43jE92jRGOaE8Z6sQpCpxf5Dt/qa50g0ZPkpnnvdr6uaUajaqFW5+0BTaqmvfOlTfQKBm2dV9tb1qr9K5VJabSDm4SuFZtdap3u+VP9ZVN/jz2stSn3lMf8vjOvSd+pbdqZI829xfcaOStbrZQbQ6OOpRbp3n5XF/fnf1ojKpbXWJq5OCmHz/jmue95tuJo1Kk+lx2hPxaGTF5s0o3v/7qLK5Oc8sfm9uXcT7VbW/tKxF0tkySaExd9aO2okDFiBdUfujsXPf3fhubn65fFSfVuzFXVfqD+8+K4ZNlzmzXsGxbuF5L1J2aXuX7I8R/JJ1HZF9bUzLXeHn9+XKpxx0z12t5de4J61Fo8y272aAor9LmyxuVpVGQU9mdEh3mWBr9bkBjCNbi9SE07Lvv/TAP+XfSNSsvVfAltBw9Il3WTplS+zHb3bJP4Ldgm/P5xIUfObyTIR2hQb5H+XZZ7aLyYPWD7aey2nKkzE8US1sbffbcpeR00lNgUXlNuXepAe9klKR1Zu7I3ncXajI39hgq+Z9vdykeKaos42eOED55X7xsrdqsqK/HlC+P71az9bV8XfFRZUvl9EMjRaPli6Wiaz5mP/qQOgIdjk+UsfIayd1tvD/P5c2ynpfhXxP0c65wvlmUodevhhCe/7dp6NVir2/plYs3zZu+Cf5TjZT7TF9pVnAPWXa+CPR6I9ViP4JmyzZE5bnR7JkCGakwrY5sq/1cLRzjjuJMs5rk5fLFI72arwrNOtydhoeV6X1Qy232TrbsbH+14Zdmz/WE0umf6k935R6s9Nld+XfF+BbLj0o/5ndN5zW9bRzZ2KalsXiVe0hsH0f6wFbp2o5sl8WfXWMMebUdjU4n90mv7UtTXXDa96XmNyteQ27KyoaCE6XTr6kVSLjmjsxyuy9V5OfTFsaN8MitP6tm6VISXF/l23l/QYLmY75m9cr0gVKeuLfqL7os3n0o3QmHrMvDIZsDPCxPtndkdRcvnbJNurYty2Vxsufq+OxRboZJU29elbjo9cNkc8t5l7WfT+6UkeJ7t/vMvJ3SZ6j5uCOw/f6SB173luUnK/cMk+JudBzxKF0xs26x1Cz+64xky2V93vt/aXpxcMqak97LeH1/mZK/ZMSijTizPpfuLn0j1Wv4bOrNlOYLun1rH3esK/L3ybd9d1mqWzhLalJokpVPT25FOE4WX/79TC+z/KLMf/sGnrk+k9vq3OB0sr1PR6NrZl6Dt3Nmd95Bvcol7yRSOOclhhsEfp7Lbe1oQkbzBMEbjmvvtdLF//QWdI97I5Wi+3TqzV7hStq7z3NPb2OGnJ50LXbGli7NDbdxmVonJmguFryRFlTwe3ivNL9NPySS23HLeXAKB1PuTVojTTuqm6ZY7rCv+1VQMyMlep5uwc/Ld8Muctz4h1VXCZv/qL7A/XVdU37/FLPrPYrSw+V3dZ7ryRVepytK+H6J+2eWRq39Q87wmlaneZxW3jrpxcnm1fu6bnRo4XKJovbiCIHWPWsqp1V+92+x7DxoGI3eD9Dba/x5nLDFwr/9Y3mLd3e9t8OiuZckhhtzG44gJZqm+Cv691zgGu7YpL7y9VtOZd5BYVl4lW95QtmIvL6kEx6/tG72Og+vr2gr2lF1tLxjor+PkCctz32pW+GsukrJv0FRlGY6Z670n1KnKjtaPIv9Nxt6Jj7Ucxx237l4tIzuBZ+eqGrnpWZTPI8sK79/aVk5Z9LNNtVkpwev9R3LZIe3qap/ygtLdvX91cQNV85v7lL6oPZRqCdp5lceGmITxlcz6P6cbF128VzDpXmCuIWFgthz2cGZL3Ub3B7v1ymV7+YKvToK6sKffuNp/O//fvVfRZ5h9pyO9RXvY/SG/ruPOfHJPSZg+9iMlgESVXPcTGTPzZUcP7mRnT93BlszcOjIldsUpslMU1ihddpH+8hMfcfTP19Ihru+HiVhvurtMM2VE8coTHi/6vDbCc+3vR+lJDtt8PlRQ029ivJL7DbU8Jt7eAca4zsEGu7RFjn373X684ena2fUfC5/ENvnvsSuqe/taJtdUnKzby/+nl0Yvm9DilyQ6P2H2fyrBirjeC0p3bIuotvenpoZrWGGzgddRQt8fEIFUvKdh3JapCTnev5q6r4hUObtDuAWV2W02veF7OzJju0eMaXb1M870301T5ZTXaEv9DfM2fhsZk9QhcdBQ1F2bJfGE1PRGW+h7VmPHWrVXl3umU0lj01NfrQGTN6oYV9/IYjjFWUgpSOqOX+0cr2N7mq1Jxo7klua3fq+PphT1v3KZQevJUgutbtx4gFbg0+q3xT5ba8d2r7nhLcPM/Aqf7az443vK9O+dfzgtrxsGb40732z657EFnXue3nRkVOXijdMVpP9Zdr10jSxs/1KJSflVnnjKP+uXmkFQ/Wu5qqCsweUcxLd135P/2bf1Pt5rGAEh//MwcrGUfgoYsSV3tTDZc1D8nWNCi0b73SMuJzC73Hgy+twf9ULQ+1iTOxKhJm6He7pXc29sdeK0gOSXbYW+Bdm+v/45t9sc2h1wubemdICoadpYteHLN2UZV5eThttHOoiq439WmJ6vika9rzzy7YOFriFnczoKZfR0Zc39CxX1ulQqy3ienlx3FpqP4xQ0t4stVSDe8evIuZgsYT/mYZRLUEVwrM/qjX1vVK5OmUxfVpJyrs5XY88gryyOtsy+nqufP2a0dM+TEdfylC9XUonIdWh/oDoeRfPsSu+rNy1sWevV3rd1wyHFr/6yPJYS69HXnt4wrF3gjllHgV+gt6f7ydP1T/rFrlM/pF4him6kfdS3NY9Mt7LE868ExEYpSGUueMu7VAf1pzh3tz0c0Vv8+dxbSaVApxeXjFX/UdW36su/67G4iBbDYe2GqHw+OsQY+mCjoA3/lXpPcPcy+PufX2x8nZ+VpjNzxcX0x9xBDWJvZz8EK1WJcM5ycKPRXwtDWtRRk92Qi7fy/JtUITumJZT4cbrrndoygR7KNg0P/3W86JuuNe33K09CR1npFNiLQ6V7+lbxv0TQ9ryNtt96+kp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Dh8/jdrzOWI/L9WrJFTalNOHg8yF+yMP5vcbn97VNexDzQibJhez3To4H6SepzV3cZxz9Kt1aKYSbfqRSbXSfkVDiWOra56JZPSIL/cb28B2iWxvvflmgAv95nRO15yCME0u4NCX/E2019PXUs8Pe8axHHOldTaGTT+/VcA/6i688XMwxY7WuS7E/F7ltsjpiQaBbesW3JoM+/lVNlhYDjM9HW1tTSrrchVsvb3Rd+FouMZ4ZYSwweKGv1ZN/1Q4zzyZHG56ad79V8SqfI9W7bJSL+mDzxIzhxY2JxrRW1WGdW9TEpv8N3lOPje/szag1F5WhBFEMxpoM5761iZa+PTJbtL6ujTHISa10ohUtzQVY9Jj/W2z4XaG9m18tMPMJMVpxsWFnqtPG5mcA7RCTgeoGsX5mLKEaLQuvC2/4J2QaDeno8+yf0q4UK/7k4FW2xhHcI/AiGraukHyBfOH3rov5x/eUZzOz8+Q9xaaEOAyfmNmP2EQY5/+ILXEjh4ZesZDbdw92r5Lj1GbfM7eszfGfqwk58qo+CnFrUItd5SkTT++bclPOa27hv7hjJfNVGjEabM1at650e3Shf0G/FT/n11ir9R1Hcz8gt/5Bn2c5TNM8tF400672BS5s5t+ZZTc0aQ+LHI8hVzI4Hjq7/JlLv3T1MY5tkYjscKm72TmpHRKqF+80Utl2iiZOWC46NfKjscUmrw3nSH0aCdjSDwx43KneeeLKVZnhnG0/dh956Hj2+J8a3YPR8kVpncIKzqo95HFa0qMDhvKcwyqN+6oiQ+azNnRrWIyUreznYX84pD8aEuSigLHoJAKLE8ZFKIdkiffTyMVdrvXhcpzjvvAYhL97YHu6iH69Q7OOPfqnxHDBdPtYR0iNoIb+6vnaim8vTnqFC3q8pqSGbOUHK8Fl+V1Dt/ztPJn9hv/NSZpHlcVvFBFp/6scA6MSdg+UHvy+XEzs91iFEkXVuf2w2KJCbw3hJ0+9wvM2fTO5ObT6e7HVExuhT/Isznvp/MhhNfWVEkkpz+wltFR5/bWLmTjtF9s9LDTrUKjuYfqC1Nnn3ll5buNBclcaMqMyrPcOp9DD0tNKr+dR5k2XEiaZzHgeCjSPlBl/O//9/2nXVyH0L53/keIEyOI+e8Tw/N2gE7Mcb5S19Xctsls2YV5WnI9y0wvYc6bD7l5WMkocPOlbuHNPrc+e9nV+Zd7/KNzfrhmfY77Ecy/5bq+5lbZW1uaT9jz7w5+f6eiXusg14RUuPKnOXJf/K5hklcSmQIHxlR+lU/lGRkdhtXjUtv2N6VyxQsBg8zKEQeSJOjfDBmDp7oEhynrR3T3q7/qU5TZ0xEne8JTku93dFdClLpEf3GUOo9kowqP4ILSV+/hH45joRMc2rn6tQlRLhZuDNdjb6Jyo+S73pVrJggzChO9y/PSexsfSZacnBDNiE7gL8ki64WxTzYHC2puUd5VMFjSyiG6ntpAXaNix5icnX7SLTbxee7Xo5d9RifHqwxPjKdLzBZw89B3hvqHhwxrWHfNNW1dMNlm9pvzFrdrlMeDVIFtprcGGu40C/+VZvYg9d7W9q397jHzVgEOOr+lw0PoD2VfUeRFJ2M/lTBq7zSbb+Ca036h2WFufvUApSwloPBDirltzfBjYre5zNdso7Kmm38FFziFS36p6uUKZezdVkh78OmRo/nZi9zCm/pPaylq51IMMkj3KE7zlja9G+De47ap7a1l2qp25AvlF+1ayJuW/pJky4k9Ob3hJelTiXzNR97ezZax7FLIot8tacwLCarMtVurWThetSy2f08Jw1TL+N555cTXhflJPHhPI0G8n8LjEzOPDEytqSW5TIgPtXLtV55X0qsuqj6nfv9r/qY8xffiagkt4WstBY14ds7YCs4UVW+nndwhJNHE6yutXjaRs7+M8y91mflQa0ntLaq0z5zXhKuYrt2Y6KGqtZufn8z8XBHNGeYtM19ndXtISmHMP6ch2lvMxnHhR6znbxY+X70BmrOX1WUxoTA6FjrHX7JTx+i8MZdija/Fz8c+T3d5lJDs5UnuPhfkPgb+KPUPTH4gNEM2kRQSlrQdXayr7t+goJlL+wL7DrOxC/7qpl/6OCVQcmwj71yAjucRf5mxGvp9qCPsWDi4x92JDepoki5CnRxzX6ELn6QvSIeOXVornUkzsTTuTrr7u2csK7Z0Qz0jynOci8+36vr5iEbngZmHjDrPcV6+2Z++AzPrqygHlBd4HnYWzLY1ZphE/Wsi8Kj0vEVfcJbaiTHNUnZxfIuAwORun+TumT6/fomkpAfag5ci1FsO/roUKTwKM4c7Pat5hGZX4Dfls0xDs8CjY3z2bMf76lH1Eh+Ho5UZ1ClzoYqhgym+708I+8t4lGTcde+mfvvpyQ23SRVgF6xiEpz4Sivq7gq9vasgfQeJb+b9yIKXqSj3TWF2Ui8zn/JAsk9KU+AMdu0Gff0wb6gH5US0z/p6K0+bCN12TYt6JhKfcpc1yye7bKlvh0YtpmUzYG+/6lFVeWnP29RkcsqAt7Ot1HOWv/xLApNFGO0zNKuUwq+P4HnfibDoexLb+9hMuHc7n3JHkDfJONrHJO/1jG9SU/38CmvydFH12oDN21+kyFToEpWLoGz1UYpqJ8ukOe1uw4hoD4uIsPfYBengwqmzlGo6/zEFD4rLAIOpjvy0tHtunXIFl5pwe2euLlV/oYObonech+KqsV6UpOL5O5DpQLmM6mDvl9U95dVtfM4qH1uafhfsiM6c1DCzV6ReD3t5zKjyRvLQkHZ8i4Re7G25031f0tXbjMt8vqcnvXA/b5w4+dG2cjC8KP1DUklr96zL2RdkT6qpOPVa21vp+YqcD++yPYWpBRqsWSlZtIkI9SdOPSYj2jWPg7SnKZpHc/W2RagYuSmEuA+S6270x7OcMbQp7zap0Z+JFaeOdliLZIXOzHr5Hz77w2nHKmvP+KqtGcFybi4Zv/y3/dIqoE4Jkqpoj5WnskvdXEjfzQwNKxnM6KzCiGqZMzd+JKf+OaexP9e/2+kLTIxFNUL6n875/7L/+3l4X6pb3MMRYiIym47EGL4Hvv9mvebef8y0yLZXw/ObDHpP4flNf50+s7clOCZ0IWDZxb8nsf3vdl2yJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuyJVuy/7f2Hw== 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DlIZhWhomGh/XAccOH+q/h7wr5crPz4aWg60ZfwPA8y/DG7vi6lAoSkHalz3KFY9VXmWnrE4tWKutKQCEXgj67LJxKdoDdSCJKf+e+p0nnTvzeKHqjRPi2eUA9bL7n9OmdD7EuVN8/w72Unj2tZ+Bgy2Jr6w5r/gH5qgsLTkP3+Bb3ylWhZq8IVQ8OZGXjEpKysS31jxwGUShaP5bmnzYBYZiB9VGjrD/UPJ6IcgzfwJof7NUbX8K4lVv7mvhTmypP1aFmRlS/Ej0KMA49M8o9S1oBNFlO9yqSUTU76FVMZUl9KuzG+UHzt+1tdlbwQWji0kiFC/yiB3t+BvXiTAXTvzMTCmG2TiP1hXD4sWCYgLNWNNUGHclwNItlM8Xh+JCOPt5bufNjXqKp+nZvnOI8eD/Yv8mRfhOd1jks+kr2Q/XzXK2dlGsM99NndzoHrMm/cJZJpL0Pz1ObpcHyloKothcGYDW+snwbfZovahNnyvj785mVfJ2LKo53uEhZmo4+cxhNFDLbk0hMM+JHoVnSzgZezhhSRfBVOCesmwiY5Prsl5+bhHE2hLZMX3ozJPwEekeVtevN9T9etlgqcUSbiHDSCgonxYQ0ytHp202H5mZ6csRnr7QmLX2/f+14vcgXp0sh3v9MrM9eMq4EZV82n7mnwnz/TyCvNcB2NOTlncea1lNVByC107/TFJeojtA6lnk9+fHotcl7xq5vA7FBhXqSW/cgvG/c7Eh7GS45P6WW9oP0RiC7Smysh1lpsi/ayC3jSl5WOkrLrhz2rthbFIXx0nWxAEj5vrjUtp3+Urj892/hVYxtyHvUJnweTtgXOJkzevIupzco/W1ctRWTXuqwXbWBW0XClFDtZt+ogo1w5DjJSAR7bUhMHB0hdrdpb2i97Dy17NSy0DuWQth4YMRO5BDTZPgOdSFcuFLqzYPj0hLaaOVZVA7eGi/IgIdbrjtOLRcYVDElAQfYHVjPlAfWxfNgoME/eBfn3JBUzLfcZLlYEsdr7/0sMPrleKPuLQcbPYa9Pa4rsm2HlflN5rOVpkHCAdhFB/t/XbWeWj/TfKIAOsR98lrn7O9zSCphlaFTppGlPTrvncRyS5SCRm3Bh1wIbU2R96Lzc8yZTarEDtZj5v1cRenGWbeg4/ii1ZNkDtDSslwMoX/YdiZNfBG6rxpKv3+fgYHqbquH9edjr8LLHFBWSjDrTubM3rihNeA1oFbwKMOJrVFXpa4VAL+r4zhRPvkzW1jEByoMgQgZJvbXtVaUSmyonX89WPEtlPTV+WpfTOPV4QDtwdjVvffGQkbJtBOrZfCWg3DQ+mvLiP5NbH4KzEOLDVYG9rbHU40OLKCL7oumAtSw5ihIgYcOVF7Pt1CS4oS03P7QY+ymmRD5/9AgAaQgPgBi0fNUVq7SKKj56zr6QcBFNUnk4sjqXWdhjiogghm8j2sP2My/HmlKb13RG3ByNpE4A56br+nLj2gI/Wa3HSQmMka9t1q/mmcwnkllNMe2UTn2wG1bY2VSFDvlPMCKBv3cbP3wKf+RpnBTkSoxNZzUbmrqwrmTd6xYYUyvL+MN++ZpKavnJETe1prYbCFTLFmqwt20Mb16cNCGSi6wY/xVsF70i8wTTKjY7Qyzp2xDrdy196HUv2EEMQmOpUwdvdzlLWutVDR/Ggcpnr9C2i7c037m8nkCH6WlWg0lDf+UmDNfsCG8FR0ye4Y9y7vC7C4WKlATIdsnSp7DcvjsVVladtTB3wIBO2lSO9Z3yE86081KILj6pVvIivfFmCnSTiMfTh+z0KznOjrO1kLMDidgUPytAr1vKFI+djGsH+rczPLV8oDaorzTzGZ3w1RmIcVN4rqfP3zQ4rUg8vcx9Dhsq5esGqg0noTLXpelpsmpSDVvHDO61qLKs52YuPjHkZus4foL5knQ9Jqqp5g9qFoiq6Aoxnhpb1XWWUgHkFF1+d03P2SYgerrmVxNbn75YeEje6FVoZdUdPDRmtm6nHSbZpjGhXDnfD69dFjYO2x+0JlmDltY6Pex6rfg8epu/Reck4wfPyVH6a9mx566Vs51c3E2iS9VhyqqkInP+6nbGv41HSDSElQrRIf/8UypvM4ey39bvNdoB/x6f3SnAVQceOv6+WWnAYzdUT344HNVbIpRGr/ywHoBlg3YRihP2dJ/zf3VR33HHHHXfccccdd9xxxx133HHHHXfccccdd/z/5D8A 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7Zd3UFRLl8BhhiHnHCSnIefMDAiSRWAEiQ4wZIaccxYE0UeWjICiCBIfIFngCUjOA0hScs6MMITV97639erb3ar9a6u2il9V9+k+59zuvn3r9LmNhY2FhXXzk1/yF8SAn5UxzNHJzV3V3dXV3U2Q7ZGdl7eTuxtEVlhcVFhcSkxCQlhMUlRUTJBN1dfFx9fLDuJm5+vjZe0iyKbvi3BxstGxCzR0R9q5QaSkxMVlxezkZGxkpKSkJERBv2ah+nNwYQ07d1c7H69AYV07b0ecn3o8v7/mIbT2snF08rOTsHUlcPewc3Pz9UJ449ha+1j/csLHxwf8WiI5LxaW4k/pmayfRAD82SD7VUnTYWEBLsIBWPx0f70O5gaARf2vV1uZQD3Q2BynaF/FIo/G5jgQamSyuPxpP6L9yy7r9rNywfp3DpT+vX99c2PpqOSl/HPblMaufH7J8JO0J7/k4lxXvPK/j7AYzq4q2RvY9atNQpqhqp3o2PWXJULpH6X9H+XfdP/i1/YREZKREeKRkeEBAQAcIB4eNhkeHhUdDQ0ZNh0dGQkRER0lGRklHRUVKwMdHQAbD+/XnuNig0D02D+3joCYGBcfG5uYFB+fmpyCAp+cnp6cmpYWm56VlZaenJwcn5SUDpuVlfEOPT0TKzMzPTsrKycbFxcLJwcHFxsPDwsHOzs3mIeHlx8MFhIRFhYREhUVFuTjE+Tn42NgZWLiYePm5mRhY+Pn5ePjExAWBnPz8goJCwhISoiLi4lLSEhLSklJS8nIiEtJSgqJi4mJiQoJsbDT099hoaeXkZWTk5eTlZWSlZFRUJSXl5NXVITcVVS8p6qkdFdJVVXtnpKSupqSkoqmurq2poYGRFFB4S70p05JWVlFQ1NTQ0tbW1sLBlNWUVe/rwuD6dyHwYwf6Onp6RsYPIDp6mrpwGAQ6N27BoZ6eg9hRkZ6DsbGj82Njc0fW1hYPjY2NnpgbGxnY2lpZ2tjY+lgZ2fsYGnpgHRxcXVBIh8YwWCGZs7OZnAEwuyRqekjE1NTw0dmZtZwKyukg7OzvZOzM8L+p3R0cnI2QyAQcGtrBz1nZ0NnPT0wCAsruXrzHBsrAktZEvjXhwyYFRoLvv/c807PoXN5TNVkkuSwnJ4Du7bYy0ZDVm5Sis+ZFmNPlzN0nPs8zSXk19PyF0stGIthpgQSaPY7qff3xp4nm+tkk3hbzB7LDVtWtqJD83fPr8NCdymh2ShDBV+IcB3lHobR0LJG+12j7j4UXFjzwk1MG+xtWWZ2OLrkT7mYDpQMkC5oq7JU8WVxeME8ybZ76DyZkko79cbnYRvOsNy2YTtfkigkX5hgpDNQ3gFGxH0CtvqNEFXUY3s2qEupclFp7Oo8gVhDcQ3x9jnyFffgIMnD0yXylyU3qkZTy8UVtWUlvPJx+2+q6Ix78QURDXAUm+833MmKZ1cjuT0spSjEks2ZcV7YiEP1zfNJRCik2TOJNFJuR8EPmbzTYuC7G8Ccz7+jNG9Lr17VHvaqawHhd55CjDLaWWwu95e9eEFMB4SsViYuM5zUvrYGn35/wEF0aTDbDfd2lvWhmqm9rzo6DjE9PYsrNHFelsO9yonh7B5873BDqLYGPOsd+OJYVRVeStiV3rAjRVIYcBU1fyBGvQ8f+xDdmTSlmYMb09X8HGqTGXtZ3QL05UsOYKhS87WYISaWHuENElFd1crfT1gKmBavf7+wWQ8w0NvUEBawbvBe09eWj3JwXV5AJNJXPVFAWcw8SeQ3S1x8Us8xJDi+3xOlvbdyngQ8+KjRYJ/piZT1R4hIc3I8hc87dloXSE5aBxHZx9Wy/rBXiRMJZhww2db72tQyab2OL0F4p/6e7XKY4uJ8smPHCPis81W07Mt+t8tcoAhRcL8oyEBqRwJIk+m8mfcYunqAogdVD/o0q0UuKskX6t5d6NVtKWMmvEgsaa5bL+rs3l/cGFDrhVxcUEf2r+YSnDw6WObH8EZHIBUwqY2E+bn26GFKzbPVrJIcUJHvyR85gP3tjT066hVbb+hxUVRQT3hohfFSXQJ8DLwkmbC+UNkcMUx/VuIOEOPbCZYHfU/0aUulOSttAWbgRJb6PzSy1KF+V14iMAZa2C2kmivP9M04ZiUEDWFq0WdVRTNyT9CNL2nW5zeP9gFvpIMMyj7FVLdIkJwC8jAbf+BGrrWehMfdLzWyDcC5/BVI0o1WzH8GEgvW34FkYxURGXtFXLxjcAYOToP0dVsBsUA98VTWTg3kHj/DLSZrMOzPR8z/M/aYR8L1x31/xp4ngfZdL/lqzjd/CAN0+LHn0ZjzFsugE2DSIFVeE2eCkHTMIeeBW/Tz/TZJv5g+ZSqtN9Rkg9HlpPsutcoD1RVqtuCePL+3PWtqhSgK+B9vDD5hCnqU9pUWhtHldmkCa93haCSUIkTbqL0oz8En36AUKtddV1dQmt+2tJZQhp2+OeoK/Z5AXoNQCemfl8F505h2c+0RHzD0+pVCdfz3nmzH7Hqpp+FKWZ21XA0mM+kDEq2sCcbyiHdSe7nTS7+tpl64jXa9TN7tMEYMH3lKB4GjVi0sdWH5KU5R8RPXV9sua93Y0q3fdGnz9xFCiy52nm1cR81HJvsIKYWg+ghQu2ZJwsv7A/r1T0muxztjjSpHOkptXLgcnvzwmuSWlk1+UGrzMlPC2Qw8M9Ufduz6uudZqEvbIcQ9ApSYswFCkZVjpnSNtLsg3R84QmWCC4x8p580HfL+KB0w+xZgQj28503Y0Fd83le43Bnuql3RWF5YaA30z9+35XnIzFubMZbyOOT9kYb0qtMa8qG8U3l7xNwVBdFUwR4X+4CyWBxn6Q6CXS5nOKX+9VP1YhunU3uiqybOjAXX2pFjvEew6prsfK2Et9uN4q5HgVrrrq/PmycgQhMnm259pr4JFacxqnSsHKhi4Wzj0He/ZZ8Nj4y81Bn94RF70cdZeMPJMItj3cHUJ6TpHEJzKNU/Kpoce1lwZH2JVCDUo7aySqbNf8Ww2Pamx8SUj5BlI9kzbvldE3kWbx/dnftsJlD+exqMB3MRFA5jkYNhnJeAJSL6w5173FNxCR62WrhQVpHY1o+MF8GrH2ebaGziMa9MuTmReaAhKfGmTNCVt9lHUKVdPz6xSdXhU+JaFOGTItJWJNIjAKZu4ExSotu4Me+umilF57krbaGw+eliXHpurg0ohdzZINXqlf5a6Dwb3/SK+VsgpdvwbHJFyoGfoVCC39eDaVyCKzq/b9GGBI+N/awZXrLx7EZ+fx2z1T/Zy5yexDJmbbKprFVGI18HdFUXmDPDG2I6K+SHqbfysjY1xp63y1HaprGE4CkhbQNSBcRM+YtDq7FFpPunNyuUF9QYgtGGVqUa6mtXlC03zxKTXYMpDt8mUkcTbF/nffXPpDW7wXtt5jSw0kU28V/+nf7BEi4Wlh9riO+fsdgA+jsWdceDJQ0D72AdxMMnMuonWEzHu9VNnbfBkPXtSf4EmHTGiYUaYv9SNk2quMnGreQIfNT3latShUUnUcPWYJa+aKzX5lS/7NGo/dm6v4IDujIYuo4OvWpDw0njOJkoHr4y5AftC49ZzX+4FjZR7gjub7iefekIthBz8iIuUraH0tbRYIg6HoYyFERdv0LGfq2Wu/PCI4VM6nBl53P9ZfN64M/8zVzrx4hnwzo+L+oS+iIK3ym7ivbrxQZfT8MeNVtf4jk0G3diQYxbNBuQmvoIO3B6WftNjg1lFu8oX2wsHYR/FF5BbWHq6BJIERwSpmxbT/TiN7c8/q78vRWqlCSVu3rN4DnOjMEGD45zbUbMfU97by1+0DHpxVZ7N7xZWnRhIjLqQl3KxhRAUqc7K4yqAf+oQww2Jwqc3Ms3D4DmVGqW3N0KuyzJIwE9gz9If44YNnzWYl6XHkUVC57gfxJ7+naYyZdG/+D346FT11JbVi2BD1+gMaXT8nDf6Mgn1D8M97I7tIo7qCDXj8cJ148V8bZeSzpSa86q6xxAL2C87a3aqgb1KEMaCYvhVmiYHWlW3Fsw7yltlvU2JFfakJDaVvJ6ky4yzy0Y1btPC3KHSQ/TrNWglTo5j4/vHDmKCmUjZuOGlSBaDwOsNUheCII/rS/TrY3TgLjgpeVcp3aV1cDjB88Hu06R3l0Mnnwk8UrQw7E/WMJ+n14F1OcZB5yr7HhHvnis+manbQr4JXzWQr3r4H3FJDKHL8nwbYsksrDDSL78vF+aUBIy1tW+9aqwTWux8hwKMpPx5WbMkxyoG82+7s6Pgp165ujM2+b3sX4M8ROOfBqCdyR7FnrfJMxez14Eum9Ym2vDKgg4VUCruvPqV3nOKBU3OWi2wFoy9Ra68Ciqc2xws9wtrdLwCTVog59VYbx9ECsGK7no1LSJ9esQU5xWzvciFwdoUYzpXvzoPQpi5tzu7ZlPcSKWcvPBycNTBdOoe3CPdPwd34LdmasIwLfCp6RZUR8axNDHlwvsVBWJMku1gdNDcZUsxw1LqssQJdOHIfj0ImhjTaYfSXb9lo8ylL83R2tDe5rjv4R/mY/pvfk8w4sblzfsL7IYqSws3jIFJlf9/KHmFcOHEFlx1NboV2+EtHD8H/0DRgzTe4M6gxkc75g8kJkfOpJauVDV6+e0xO++mp577rOBEZes9C72vSxn5pz17cwSnmR7l803jW6Gi6pIoqjMegZGHgVNyLf75rD90hecwM51mfqBblImWQ8zVPKEzkQN97lbWTUZH2doG1KDDelb0oMWX0KsCsltP/205HNF6e6Pm4tQyJOLxj+b2qBnJbF9xT2v5DhHdPdDpPe+zPpMGEap5qrPhiHiWfNWSzVNl4e19h3gGktJT2gV1cDHq/FqJC5bBRMmC1Oul0NJv0EmUpZ8Hb10qJr6ZjvlS0iLErQabc5vZxWaGdpOjanWuZcl45f1WG1Tlz0q7uh32ck7Y5Yl5CnXVs+YQ9YLI2fpo4zzh2biqlF1JJVwf8aO1+ScL18p4vIMew1mnWHfTZ+HRUdtE2cSc8vAadmTFliQesO8VwJd6pqQQj9sYE5PD7Si88Xk1MVHomaJELW0QfIoA/iDjQZuYra435kBBIBUGhvCLsqjMJxNSvHwIma/7IS6S0P6KLIew98x2oeKu7qF0QEFD+Szngi1i4nyB3lm+BN0zGxhQQIZggu+h40plTblRva+d11DVr3UFLze+uznStOT5cOeGa2oV28knlTq3FzHTxHJNgAv4rW5vmnt4NmBMDBlzD1Q9fhknHbO0ixcg8r9GvvqMUPOuvnniNmoymdFNeSO6PRV7/czl0xCLjeSO/3ZpyQWOyqtbKa0Z9VYT/bfMuKEiQGo+hlxudTLLFjSljHMTibBoBwFyTFeYXXyPAW93TCSGYeGlsydYgzFWfumqqffDn7i4q8j/PU/7qTY/9Oh/99eoP9v/ZwUM4uxsIBYf+adcdy/TH8v+NeNX58QCys2bVPzT4eKfzn8TEwTgYpGgayfPMUzCOwas2O4Pk+L0yucZ8CciXnYK+BSQ4N1McHdbc/NMw3BEpoJokL1ydw2NY8fQqgb6+/xseh9EapJrMt5Kxc+gGxbvzwPC4UvLp7nHSusVyP6LS0UAPl8bxNaPSBfqM7X+fUClj0GUyJGPz4fUm3b6GcxytZ7ToCfKmW1rl7Yvp+6sKvSOPibgYiuzci2LyWUgIRgmsNz4kSULrS93Q9WAsHuXJhd3nqwwavwkiP1jPLAfOX+Qi1w46oO+GFPHYceI4kr4lBkXmcf8l7u3jmSO7aWJujUzaHboQcff3MMmT2u2p78w7c1gQCbt+b1+FRaUXM77cZX/bA5KLzhNXHrnmP5Eh0ttjgjLq65z0hrCUv8UWmb2dwK0XPGk5HIoboXLgB6S98dx0l1h8BBlu0anogZ9mXoNW+T01Tp0XsTgBfZxx6CiRG6/h2UQy7vkl6qJEMJZZPzH6MIPDzAfeEg+7zghOtxRQmvQSjgwdSgSAVpkcDCheFMhtany+ru+hvxkTfDP4xrSclF6co/6EOj4FUGZRVKz7Dweq7zt3+H65hf+1XiYV+jeY39WlTJKM1+486gED1kRxi+i7g+112PcwkHsHw0eTcTrjycd3bZ2ZwV8fw7Jqv0aMOaT+4DCBvnIHVKWoFglKRO8UJlj6JKCOOG9pu9RC+rPR8qxPkhdFK6R05wjUIbndCZ11PoNwjLHol/uLH2MYLl6URcJSX4P5E9a1VdFQ5UxcGHRRc3O2Faj+o0ZuvvAGo+X+EUi09bZkt933utyKFyEROx5t/ZAAU33sNy8MgZFTP1edbWi3YF4XAliq4gUcXuDZkfplf+iPImg28tziRs92ll1YeX9kat8uLJOJRai+R6yxXeGYo60WhuTnFcdw6t1EOkUxDhZGzuPGacds/yO/0mUHu3s9Jpg3lXId2HlY7Z/RC4wGA9Zsk+vT+qT48ycIhe00ZcPXHcEUnTXkDunwENFtgrkqJDAeNT81OJJHrcDFAWz2nebOKCASPrrjcFL9vouq0sHRmYBcu6cSvdKlmNbEafkQAYlyVnyIN4vb25B5UGLfhSGhxU36SXz2wGnGSel7F2vp326Bb0txMGoaScN8RCpj7H7qyxf2mx3RnnJaNhkd0hs09mPQ4dH1mlIQlBqkW/GhdYevxIaOibP2NNWyMF/sU4SGRboDrcrsdEwF8Rfw9+80jyVPgis7P0M2cLm74HtZaIY4fc2xpO9OmbuIiLOaEyJsCOP09wkHk7Cbb5i9qTTfT08ESom0ZmXOfKcot4l9rJI/UVO5td/R9qR0vnJYG5XbuzEkwbvdhigTl7Ddob5jQ/pHLwSeeGwN/j+Ytv2GlRI73rn46j4c1F9eNDxyXG1ZxXd57m9wmkjan462wZVDouKTcZNqGGs9lvLjgn1UnqI4Br427FLywRIn2eR5LOa8pWFUdzRGaWZtOVdGNDkSPZ77hmdjd0mzz1isHDA20WVS/WyNRofSoN2iqul+3VshuedpMZaiVXOfD0n5FBLIwFfYFKNinAjsho/u/y08OYGD9++aSqjiFBrk764FjEdFWtEAEacV2gYB8DKW56HJV1X2VxxFcsXGdneJM4l1J/b64Gpq/mnZVjg7QHt1O11ejrHJvuf3f6WsslqvFx1P3DqPdp3I8yOi3Rd1/DV9OZg+Lby67Oy7hsSz62bs4/W6juOYrXhBJAYHcrG0k3SttEZFsCKOeGt+bhVZ8wlv6T6p0SkTHEGTk5MdxNK+9NBsd0KcMWS5wZA+nXLzOKJmrRkgRBb/1JV3JshuHz3KyWd1Uy721SD+NhyJoLqlrfhTITUOFaSH8O+8zhE+pFQzA1Plzvd44YlnToPuJ7ue3sFKg50kZ3hCLeDdq61ik7dnW8wVOtmALBpaVudrhUO+jXUTjwraR+9rsN+p9hmsGWmPZgt9VUjajA2Yl0sdATPmvVUFMgQVglF/T926XLtS70ZEJF8si5sni5CRHGnWeF1Vwm1YPjrcaygfwZFZ07s2ehot3vW51fiU/c8la5QSwE2F1iTqAGx3Xb90GddbkxKclFiWfPZZVCDcq44o7i3dPhseNzr8FvhMpScAZ58l7Lyp2syzW0pzhxRxakWm6axB3frJ8UHH5j3GoREuJ1J++Bz7XINKdvVXI3E5sdV5G5Hvm3ajc6JwmiWmkgumg3Zdq6SqYpbC+i6A3goD2eAqMWuKW9+8eg7MWBwqrEwsSxS8g3q/ZA2ivNYAzZOp/SdXAMmzvulfteh6mKuW7wseiSluBHvrAbjIit8m92hoa4cu6f/s6CIJmxjI4OL2V6kKZFPIXrf+pdGGMf3IQDIv7uE/3vkuott9xyyy233HLLLbfccsstt9xyyy233HLLLbfc8v+S/wA= 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See list of preset icons. 2b8bd88d-0c48-4f96-a917-42a6d4cdf590 Icon I true 0 5167 2547 17 20 5177 2557 Optional tooltip. afb8d06b-df69-4928-952f-fd2bf079d9a9 Tooltip T true 0 5167 2567 17 20 5177 2577 1 A list of widgets to include in the tab. eda98b49-ed79-4f10-8446-47e4dc573f87 Widgets W true 5b687921-814a-4fe9-8af1-4abbc98f39c3 1 5167 2587 17 20 5177 2597 A tab that can be included in a web application container. 9bd41508-f08c-46de-8f21-1ba01376f8c3 Tab T false 0 5214 2527 16 80 5222 2567 d6b5d671-0c5a-46ad-95e1-b81b0eb8b8e3 b9116316-c87d-4212-a382-bc40035939bb Tab Create a tab for an App Builder application container, including a list of widgets. 08c0ae2e-0e38-48af-b8a0-6d2e0fe211e7 Tab Tab 5161 2108 67 84 5195 2150 A name for the tab. 86754834-6be8-4f69-a697-342226e55d9f Name N false 06517460-0536-493e-b3de-95b563d0807e 1 5163 2110 17 20 5173 2120 An icon name. See list of preset icons. 019baf16-d0d3-44bc-8a42-63840e2f9457 Icon I true 0 5163 2130 17 20 5173 2140 Optional tooltip. 2806ae72-52a7-48e4-b7ca-7556f79141ca Tooltip T true 0 5163 2150 17 20 5173 2160 1 A list of widgets to include in the tab. 55a76fd3-fdf7-4672-87c8-fb3ee03c3a1f Widgets W true 097359a0-c3fe-4f35-bbc5-9bf117c56523 1 5163 2170 17 20 5173 2180 A tab that can be included in a web application container. fe3f8cc6-7f96-4647-9813-e5f3d048a309 Tab T false 0 5210 2110 16 80 5218 2150 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 7c93204c-db3e-490b-9e1d-2792266ee015 Merge Merge 5319 2138 72 64 5357 2170 3 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 cfa10fdd-0dc9-413e-bfc7-03c5850d0a36 false Data 1 D1 true fe3f8cc6-7f96-4647-9813-e5f3d048a309 1 5321 2140 21 20 5333 2150 2 Data stream 2 f467ca4b-574d-46fb-9ee1-b88ec9dd987f false Data 2 D2 true 9bd41508-f08c-46de-8f21-1ba01376f8c3 1 5321 2160 21 20 5333 2170 2 Data stream 3 feb27c4b-6592-41e8-b4c2-7ff904d0afae false Data 3 D3 true 0 5321 2180 21 20 5333 2190 2 Result of merge 6813bccc-b121-43e8-b7a5-57f45d2814f8 Result R false 0 5372 2140 17 60 5380.5 2170 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 06517460-0536-493e-b3de-95b563d0807e Panel false 0 0 Analysis 5041 2111 76 20 0 0 0 5041.72 2111.635 255;255;250;90 true true true false false true d6b5d671-0c5a-46ad-95e1-b81b0eb8b8e3 b9116316-c87d-4212-a382-bc40035939bb Tab Create a tab for an App Builder application container, including a list of widgets. 27e918f4-9da8-4f75-971b-1e442922ce18 Tab Tab 5198 1880 67 84 5232 1922 A name for the tab. 8fa45fde-292c-4f1c-9093-3ce5383431fb Name N false ffea3d2a-7f31-4f34-8716-f50225204e44 1 5200 1882 17 20 5210 1892 An icon name. See list of preset icons. efbfcd25-8cf6-4d21-90d2-cd062d335ca9 Icon I true 0 5200 1902 17 20 5210 1912 Optional tooltip. f7c3a069-d47c-445b-a96f-8a9a91cdfafe Tooltip T true 0 5200 1922 17 20 5210 1932 1 A list of widgets to include in the tab. 411c9ad8-bbb9-4410-9e74-e01db42faaed Widgets W true a9dba47d-de77-4c11-af63-4117d9722925 1 5200 1942 17 20 5210 1952 A tab that can be included in a web application container. 4434b315-466a-4264-b8e3-88545f4110db Tab T false 0 5247 1882 16 80 5255 1922 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ffea3d2a-7f31-4f34-8716-f50225204e44 Panel false 0 0 Design parameters 5038 1882 135 20 0 0 0 5038.539 1882.193 255;255;250;90 true true true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 150;170;135;255 A group of Grasshopper objects d3b741b4-de4d-4a93-889c-b4a8ab89be96 57d953f1-7147-42f5-be58-39dd4365f6f9 f8d3a95d-5929-4178-b0b5-36e51c68f721 b1f8438c-19e3-4584-9071-abe93d663dc1 ecee5902-7126-4d12-afe5-f9d4fa812246 c4e3ce92-dc3f-443c-8d23-a82505bba7f3 72e4b6ec-ef99-4e12-9e29-67f6efe300b9 aae3b9de-5a72-4142-8605-d4c086f083aa 1493ca95-44f8-43db-a8dd-b9f25a85342b 67ea07fb-96c4-4060-8ec9-88fb4a84bda6 93a52b58-b0e8-43e6-aa91-e9e1b3e0f15f 8399e4aa-026b-4b80-a031-052707515626 a72fef65-7d96-40c6-b219-ec538d3abca0 60962f91-3a3a-4029-863d-76f0da52d28d d2f902fb-6458-45ad-b51e-0068f8d2fa3a f5fd62c2-13e6-40bc-9f33-c4ae59c6193e b0efa947-8959-4ea8-bbc5-023b64c79193 c17d7603-09be-44cf-a2fc-ce17f069ff44 ed242e46-c105-49cb-8762-0f667e6c439b c5180e69-0df1-424d-8eee-429cf7e7cbca 1f632c72-67a9-4d38-add2-1d81bf1b1206 b4cda060-dd40-44d7-a358-ca4cc349c4a6 db1510df-8624-491e-ae44-6aa60b7d73d0 acd9fbd5-71aa-4211-a6b8-dc86e77943b2 d2198429-b518-4ed6-ab53-b866c16faad1 bf7768db-2600-4be5-a106-8319fce2973e 141296d7-e64c-4c68-9757-242067399ad4 87ce4e3d-7e20-4cb8-9958-ba532c7cfd12 6d2756d4-4e74-408b-a9c8-9bdf8295db64 73d6355b-ced8-43e8-9d3a-78d56a082338 3b1d0c8e-ad5a-4cf9-acbc-f90e637a2650 31 6be2081a-b497-4e67-a526-66893d0e7d77 Group a6ed7a5f-d013-4086-a4bb-f08b42b2a6b8 074ee50d-763d-495a-8be2-6934897dd6b1 Synchronous Sender Send data to a Speckle server Synchronously. This will block GH until all the data are received which can be used to safely trigger other processes downstream true d3b741b4-de4d-4a93-889c-b4a8ab89be96 Synchronous Sender SS https://app.speckle.systems 7204dbd706 25f8825759 true Objects 4757 1394 67 64 4791 1426 2 The data to send. 57f6b060-aeaf-47b7-9699-6f6a52956407 Data D false 60962f91-3a3a-4029-863d-76f0da52d28d 1 4759 1396 17 20 4769 1406 Stream(s) and/or transports to send to. 0f624658-4279-4ae7-8ff3-f10819f7418a Stream S false 9914fea1-103b-482e-9ce2-71aece0a52a2 1 4759 1416 17 20 4769 1426 Commit message. If left blank, one will be generated for you. 14fc30c5-1710-4412-a8e8-ceba28d5fc0f Message M true 0 4759 1436 17 20 4769 1446 1 1 {0} false 1 Stream or streams pointing to the created commit 3c6bc988-5586-4f45-9a10-717d2c851e42 Stream S false 0 4806 1396 16 60 4814 1426 2e78987b-9dfb-42a2-8b76-3923ac8bd91a Boolean Toggle Boolean (true/false) toggle db7782f4-18c8-437e-a84e-35f44b390844 Boolean Toggle Send false 0 false 3795 1514 94 22 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true f8d3a95d-5929-4178-b0b5-36e51c68f721 Stream Filter Filter 4607 1505 77 64 4639 1537 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 57b4f408-71c6-41fc-aee5-45979db84478 Gate G false db7782f4-18c8-437e-a84e-35f44b390844 1 4609 1507 15 20 4618 1517 1 1 {0} 0 2 Input stream at index 0 676fcb5f-70db-4bd1-b393-3df816106651 false Stream 0 0 true 0 4609 1527 15 20 4618 1537 2 Input stream at index 1 7f8b1b15-544c-4fa3-ad4d-1dba0f5823dd false Stream 1 1 true 412ea619-3734-4c54-87f5-7d06a45ae881 1 4609 1547 15 20 4618 1557 2 Filtered stream 9914fea1-103b-482e-9ce2-71aece0a52a2 false Stream S(0) false 0 4654 1507 28 60 4668 1537 5954ecde-7719-48ea-a71c-8a0507e98d18 b9116316-c87d-4212-a382-bc40035939bb Direct Data Output Define a data output to be accessed from ShapeDiver's viewer API. Supports the following data types: scalar, string, guid, point and vector, color, box, interval, line, ray, plane, transform, nurbs curve and surface. The viewer API will output the data as a JavaScript object which preserves the tree structure. b1f8438c-19e3-4584-9071-abe93d663dc1 Direct Data Output Result 5574 1531 46 28 5606 1545 2 Data values to make available in ShapeDiver's viewer API e917e143-c054-43ac-8ee1-58d61d4af0f6 Data D false 73d6355b-ced8-43e8-9d3a-78d56a082338 1 5576 1533 15 24 5585 1545 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true ecee5902-7126-4d12-afe5-f9d4fa812246 Stream Filter Filter 5293 1513 77 64 5325 1545 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 22f205b6-9ce8-4585-91f3-a79b26caa56d Gate G false db7782f4-18c8-437e-a84e-35f44b390844 1 5295 1515 15 20 5304 1525 1 1 {0} 0 2 Input stream at index 0 4c79f488-d3df-4f7e-a20d-90eec7995ed3 false Stream 0 0 true c4e3ce92-dc3f-443c-8d23-a82505bba7f3 1 5295 1535 15 20 5304 1545 2 Input stream at index 1 ad946dad-4cb5-4320-a87a-7150aac502e8 false Stream 1 1 true 806b8c89-c3c6-43a8-8267-2ca1013bfc84 1 5295 1555 15 20 5304 1565 2 Filtered stream fe6930d1-ee57-4e06-bdad-c4d43e448db1 false Stream S(0) false 0 5340 1515 28 60 5354 1545 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c4e3ce92-dc3f-443c-8d23-a82505bba7f3 Panel false 0 0 Data not sent 5116 1538 109 20 0 0 0 5116.791 1538.869 255;255;250;90 true true true false false true c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects d3b741b4-de4d-4a93-889c-b4a8ab89be96 1 72e4b6ec-ef99-4e12-9e29-67f6efe300b9 Group Synchronous Sender c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects f8d3a95d-5929-4178-b0b5-36e51c68f721 1 1493ca95-44f8-43db-a8dd-b9f25a85342b Group Stream Filter c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects b1f8438c-19e3-4584-9071-abe93d663dc1 1 67ea07fb-96c4-4060-8ec9-88fb4a84bda6 Group Direct Data Output c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects ecee5902-7126-4d12-afe5-f9d4fa812246 1 93a52b58-b0e8-43e6-aa91-e9e1b3e0f15f Group Stream Filter c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects d2f902fb-6458-45ad-b51e-0068f8d2fa3a 1 1244b024-1e60-449c-9a83-7b683cea5d8e Group Stream Get with Token eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true b4cda060-dd40-44d7-a358-ca4cc349c4a6 Stream Filter Filter 4351 1410 77 64 4383 1442 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 2d0ff63a-3ed3-4cc0-9e77-8abcc1919ddf Gate G false 347d5925-2410-44f7-a22d-a794876364af 1 4353 1412 15 20 4362 1422 1 1 {0} 0 2 Input stream at index 0 433cf60b-5cab-4136-b9dd-2885ff007b6d false Stream 0 0 true 0 4353 1432 15 20 4362 1442 2 Input stream at index 1 33abc741-ae17-4289-9b0c-d8395be8e397 false Stream 1 1 true cc734c30-a07a-49c0-9758-b2631d4691bd 1 4353 1452 15 20 4362 1462 2 Filtered stream 355969f1-5049-4fc1-9d51-6bc1638a020d false Stream S(0) false 0 4398 1412 28 60 4412 1442 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects b4cda060-dd40-44d7-a358-ca4cc349c4a6 1 db1510df-8624-491e-ae44-6aa60b7d73d0 Group Stream Filter dca05f6f-e3d9-42e3-b3bb-eb20363fb335 Text Length Get the length (character count) of some text acd9fbd5-71aa-4211-a6b8-dc86e77943b2 Text Length Len 4104 1408 62 28 4134 1422 Text to measure. 38d9464e-f613-4771-ba86-c611750564c2 Text T false cc734c30-a07a-49c0-9758-b2631d4691bd 1 4106 1410 13 24 4114 1422 Number of characters 7e1ae1c0-9c5b-434a-b0b6-2482456113e8 Length L false 0 4149 1410 15 24 4156.5 1422 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects acd9fbd5-71aa-4211-a6b8-dc86e77943b2 1 d2198429-b518-4ed6-ab53-b866c16faad1 Group Text Length 30d58600-1aab-42db-80a3-f1ea6c4269a0 Larger Than Larger than (or equal to) bf7768db-2600-4be5-a106-8319fce2973e Larger Than Larger 4193 1410 73 44 4224 1432 Number to test bac72df3-ddea-4485-a5eb-deedf303a0b8 First Number A false 7e1ae1c0-9c5b-434a-b0b6-2482456113e8 1 4195 1412 14 20 4203.5 1422 Number to test against 1ab5c437-2659-489c-b152-901d737c2f21 Second Number B false 0 4195 1432 14 20 4203.5 1442 1 1 {0} 0 True if A > B 347d5925-2410-44f7-a22d-a794876364af Larger than > false 0 4239 1412 25 20 4251.5 1422 True if A >= B 838c11be-ef6c-4aa8-b403-ac3fb4e7323c … or Equal to >= false 0 4239 1432 25 20 4251.5 1442 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects bf7768db-2600-4be5-a106-8319fce2973e 1 141296d7-e64c-4c68-9757-242067399ad4 Group Larger Than e1b69b80-595a-486a-ada2-cd8918107cc8 b9116316-c87d-4212-a382-bc40035939bb ShapeDiver Document Payload ShapeDiver's invisible document payload 874f4fc9-e97b-4b51-b1c3-b5bf604df836 ShapeDiver Document Payload SDDP false 0 5427.245 1671.368 150 20 1 1 {0} 0 0 0 16437cb6-6066-4beb-82e7-c6cf10dde852 Gltf2 1.0.0008 {} {} 0 8.20.25133.14001 0 1.22.0.0 1.26.0.0 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 0;100;150;75 A group of Grasshopper objects 874f4fc9-e97b-4b51-b1c3-b5bf604df836 1 1843a0b4-ebd5-4531-897a-37ac7e4ba63d Group ShapeDiver Document Payload 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe Scribble true 5063.958 1398.058 5465.459 1398.058 5465.459 1421.996 5063.958 1421.996 A quick note Microsoft Sans Serif a72fef65-7d96-40c6-b219-ec538d3abca0 false Scribble Scribble 25 Send geometry to Speckle Stream 5058.958 1393.058 411.5015 33.93799 5063.958 1398.058 1e936df3-0eea-4246-8549-514cb8862b7a Mesh Contains a collection of polygon meshes true 60962f91-3a3a-4029-863d-76f0da52d28d Mesh Mesh false c088b220-18f1-45a7-a0e0-7839342403e6 1 2 3922 1401 50 24 3947.451 1413.993 41143278-815a-4446-aad9-cada57d33200 b9116316-c87d-4212-a382-bc40035939bb Direct Text Input Defines a text input field for ShapeDiver's viewer, double click to change settings. 8f11466c-6f2a-42f8-bf8f-49e190681e04 Direct Text Input Speckle Stream 10000 3807 1448 47 28 3821 1462 The string inserted by the user on ShapeDiver. Will always show your default text when testing locally. cc734c30-a07a-49c0-9758-b2631d4691bd Text T false 0 3836 1450 16 24 3844 1462 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 73e1d78c-fd35-4b74-a01e-aac1b3074232 Merge Merge 5014 2565 88 64 5052 2597 3 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 b1e19ad6-0c7f-4380-ae80-71721e1b922e false Data 1 D1 true 65d48181-6971-456d-90fa-bbb7a8ef2336 1 5016 2567 21 20 5028 2577 2 Data stream 2 6fac036b-bd64-4c4f-a7c1-06d9f9a2e8e2 false Data 2 D2 true 09461447-3917-4b92-88bc-7724940cdd61 1 5016 2587 21 20 5028 2597 2 Data stream 3 dc53f962-bad5-4b2d-8c96-fec47dc8e987 false Data 3 D3 true 81deafac-22a7-4478-b326-05f2bf6a71aa 1 5016 2607 21 20 5028 2617 2 Result of merge 5b687921-814a-4fe9-8af1-4abbc98f39c3 1 Result R false 0 5067 2567 33 60 5075.5 2597 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1b9402f9-17fb-4bad-aa70-1bf23f084b53 Panel false 0 0 ## Send your design to Speckle Enter the url of your stream below and press send to synchronize your data. 4613 2421 261 80 0 0 0 4613.361 2421.564 255;255;250;90 true true true false false true 89ac8586-9f37-4c99-9a65-9c3a029ba07d 074ee50d-763d-495a-8be2-6934897dd6b1 Stream Get with Token Returns a stream that will authenticate with a specific user by their Personal Access Token. You'll need to raise a token with at least Profile:Read and Stream:Read to access your account data. Add Stream:Write to enable publishing. TREAT EACH TOKEN AS A PASSWORD AND NEVER SHARE/SAVE IT IN THE FILE ITSELF f5fd62c2-13e6-40bc-9f33-c4ae59c6193e Stream Get with Token SGetWT 4503 1535 63 44 4533 1557 A stream object of the stream to be updated. 240c8f50-0d4f-401f-b7be-bfd210a5dba8 Stream S false 355969f1-5049-4fc1-9d51-6bc1638a020d 1 4505 1537 13 20 4513 1547 The auth token to access the account 1fe9daa7-4d49-4fb3-aa40-91ef4271660c Auth Token t false 3c91a5c4-b552-442f-ba46-61341022d0d3 1 4505 1557 13 20 4513 1567 The stream object, with the authenticated account based on the input token. 412ea619-3734-4c54-87f5-7d06a45ae881 Stream S false 0 4548 1537 16 40 4556 1557 3ede854e-c753-40eb-84cb-b48008f14fd4 Text Contains a collection of text fragments 73d6355b-ced8-43e8-9d3a-78d56a082338 Text Txt false fe6930d1-ee57-4e06-bdad-c4d43e448db1 1 5427 1534 50 24 5452.587 1546.357 2013e425-8713-42e2-a661-b57e78840337 Concatenate Concatenate some fragments of text b0efa947-8959-4ea8-bbc5-023b64c79193 Concatenate Concat 5198 1644 65 44 5229 1666 2 3ede854e-c753-40eb-84cb-b48008f14fd4 3ede854e-c753-40eb-84cb-b48008f14fd4 1 3ede854e-c753-40eb-84cb-b48008f14fd4 First text fragment 8856748f-52b6-4013-9b8a-e12cc46b012d Fragment A A true c17d7603-09be-44cf-a2fc-ce17f069ff44 1 5200 1646 14 20 5208.5 1656 Second text fragment b2ebba22-6369-4c0b-b8bc-ab34898f8726 Fragment B B true c3d61f9c-5727-44e4-b37d-1083e6677965 1 5200 1666 14 20 5208.5 1676 Resulting text consisting of all the fragments 806b8c89-c3c6-43a8-8267-2ca1013bfc84 Result R false 0 5244 1646 17 40 5252.5 1666 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c17d7603-09be-44cf-a2fc-ce17f069ff44 Panel false 0 0 :span[**Successful export!**]{color="green"} > Find it at the following 4703 1635 378 48 0 0 0 4703.646 1635.579 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values ed242e46-c105-49cb-8762-0f667e6c439b Panel false 0 0 **[version url]( 4876 1730 128 20 0 0 0 4876.138 1730.745 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values c5180e69-0df1-424d-8eee-429cf7e7cbca Panel false 0 0 )**. 4948 1770 50 20 0 0 0 4948.88 1770.459 255;255;250;90 true true true false false true 2013e425-8713-42e2-a661-b57e78840337 Concatenate Concatenate some fragments of text 1f632c72-67a9-4d38-add2-1d81bf1b1206 Concatenate Concat 5022 1725 65 64 5053 1757 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 b2c8c2e4-f720-46e5-908d-5345b701f6a1 Fragment A A true ed242e46-c105-49cb-8762-0f667e6c439b 1 5024 1727 14 20 5032.5 1737 Second text fragment cb5a862e-9864-4dfd-984b-0e79bcf94ce4 Fragment B B true 3c6bc988-5586-4f45-9a10-717d2c851e42 1 5024 1747 14 20 5032.5 1757 Third text fragment c6d5c254-f553-4b9e-b3db-51179fda962b Fragment C C true c5180e69-0df1-424d-8eee-429cf7e7cbca 1 5024 1767 14 20 5032.5 1777 Resulting text consisting of all the fragments c3d61f9c-5727-44e4-b37d-1083e6677965 Result R false 0 5068 1727 17 60 5076.5 1757 3ede854e-c753-40eb-84cb-b48008f14fd4 Text Contains a collection of text fragments 91f91d7a-2293-4a1e-993c-12456d4ea331 Text Txt false 73d6355b-ced8-43e8-9d3a-78d56a082338 1 2 4465 2606 50 24 4490.881 2618.713 16473c75-5f21-40eb-be7c-6802b0463dfa b9116316-c87d-4212-a382-bc40035939bb Text Widget Create an App Builder text widget using plain text or markdown. acaa004e-8c33-4183-b8f4-820c37e88d94 Text Widget TextWidget 4902 2603 83 28 4932 2617 The text to display in the widget. Plain text or a custom markdown syntax can be used. 0227707c-6c10-4fb4-95f2-664e57a1e2fb Text T false 91f91d7a-2293-4a1e-993c-12456d4ea331 1 4904 2605 13 24 4912 2617 A text widget that can be included in a tab or directly in a container for the web application. 81deafac-22a7-4478-b326-05f2bf6a71aa 1 Widget W false 0 4947 2605 36 24 4957 2617 16473c75-5f21-40eb-be7c-6802b0463dfa b9116316-c87d-4212-a382-bc40035939bb Text Widget Create an App Builder text widget using plain text or markdown. 0ca0d2f0-fcb1-43b0-b4ba-085d9caeeb02 Text Widget TextWidget 4902 2445 67 28 4932 2459 The text to display in the widget. Plain text or a custom markdown syntax can be used. c344962b-8dce-472e-b2dc-fb57cb8c7b97 Text T false 1b9402f9-17fb-4bad-aa70-1bf23f084b53 1 4904 2447 13 24 4912 2459 A text widget that can be included in a tab or directly in a container for the web application. 65d48181-6971-456d-90fa-bbb7a8ef2336 Widget W false 0 4947 2447 20 24 4957 2459 eb827bce-067b-4d3d-9467-843b9d59221f b9116316-c87d-4212-a382-bc40035939bb Parameter Widget Create an App Builder parameter widget from a list of parameters. c32ec0dc-684b-42d6-849c-95970235dd00 Parameter Widget ParamWidget true 4899 2516 73 28 4935 2530 1 A list of parameters and exports to include in the widget. f22a6ca0-9c82-414e-a2db-c32b16416ff8 Parameters and Exports PE true 00500b54-4876-4cd4-939f-9e731af5265a 1 4901 2518 19 24 4912 2530 A parameter widget that can be included in a tab or directly in a container for the web application. 09461447-3917-4b92-88bc-7724940cdd61 Widget W false 0 4950 2518 20 24 4960 2530 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values dd3f1c17-cb20-41c0-aef9-09158a7cc861 Panel false 0 0 Send 4461 2550 50 20 0 0 0 4461.579 2550.872 255;255;250;90 true true true false false true 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 8c2864bb-87df-4afd-a6a2-d5db039c2ec9 Panel false 0 0 Speckle 5062 2529 69 20 0 0 0 5062.78 2529.082 255;255;250;90 true true true false false true 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 Number Contains a collection of floating point numbers 9930aa66-70d2-456b-83e6-881a933aef7a Number Num false 3f2abce6-a86d-406f-a926-67bfe4b9ba79 1 2 5132 1146 50 24 5157.692 1158.112 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 18ce8a4d-0cc7-490d-9305-15859109876e Merge Merge 4785 2508 88 44 4823 2530 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 b902c36e-8ee3-4c42-aab3-3e39b6bb5e5b false Data 1 D1 true 1be8b638-f21f-4677-8151-d29dbd4ae3bb 1 4787 2510 21 20 4799 2520 2 Data stream 2 763b160e-7476-46f6-bc7f-7f0b6c38ee12 false Data 2 D2 true 100feed7-bce5-421c-9fff-1d9d553e7157 1 4787 2530 21 20 4799 2540 2 Result of merge 00500b54-4876-4cd4-939f-9e731af5265a 1 Result R false 0 4838 2510 33 40 4846.5 2530 cb95db89-6165-43b6-9c41-5702bc5bf137 Boolean Contains a collection of boolean values 3b1d0c8e-ad5a-4cf9-acbc-f90e637a2650 Boolean Bool false 347d5925-2410-44f7-a22d-a794876364af 1 4300 1326 50 24 4325.6 1338.598 cb95db89-6165-43b6-9c41-5702bc5bf137 Boolean Contains a collection of boolean values 5654be3d-3578-4301-92d4-3b9c4edca240 Boolean Bool false 3b1d0c8e-ad5a-4cf9-acbc-f90e637a2650 1 2 4459 2508 50 24 4484.022 2520.63 eeafc956-268e-461d-8e73-ee05c6f72c01 Stream Filter Filters a collection of input streams true 45913854-00ae-4645-9145-2a7eb9af38a1 Stream Filter Filter 4561 2507 77 64 4593 2539 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 18ccadb9-235e-45da-b53a-8eb08b76a5cb Gate G false 5654be3d-3578-4301-92d4-3b9c4edca240 1 4563 2509 15 20 4572 2519 1 1 {0} 0 2 Input stream at index 0 d766b358-acb9-4bdf-a9bb-bfd53ff4a77c false Stream 0 0 true 0 4563 2529 15 20 4572 2539 2 Input stream at index 1 27023d7a-3f82-4b0a-8ce0-463b0ba3e886 false Stream 1 1 true dd3f1c17-cb20-41c0-aef9-09158a7cc861 1 4563 2549 15 20 4572 2559 2 Filtered stream 100feed7-bce5-421c-9fff-1d9d553e7157 false Stream S(0) false 0 4608 2509 28 60 4622 2539 59e0b89a-e487-49f8-bab8-b5bab16be14c Panel A panel for custom notes and text values 1be8b638-f21f-4677-8151-d29dbd4ae3bb Panel false 0 0 Speckle Stream 4652 2511 115 20 0 0 0 4652.137 2511.813 255;255;250;90 true true true false false true 5e345247-6850-403e-8b22-07c6f05acb2a a5842022-2fa3-43c6-9e0e-3150ebe617c1 Inject Attributes Inject ShapeDiver attributes into a geometry or primitive object. true 06c85cf1-9410-4fe7-aa58-93a7fca4500d Inject Attributes InjectAttr 5437 142 67 44 5469 164 Object to assign ShapeDiver attributes to. 4e14756a-e41a-4bff-962a-88287f3ac03b Object O false c51bcabe-4b01-4c70-be34-e00b255ecebb 1 5439 144 15 20 5448 154 Attributes to be assigned to the geometry. In case the object already has attributes, these attributes will be added. Values of existing keys will be replaced. f354985c-c71f-4e26-876f-982bac3d970d Attributes A false 57372b9a-fe8b-4d78-adce-b842473edf7c 1 5439 164 15 20 5448 174 Object with ShapeDiver attributes 94de7e3b-21b5-461a-8139-3c828a604274 Object O false 0 5484 144 18 40 5493 164 0702da11-96b3-4601-90ed-a01bbd934571 a5842022-2fa3-43c6-9e0e-3150ebe617c1 Construct Attributes Construct ShapeDiver attributes that can be attached to a geometry or primitive object. This component can also be used to assign display materials to objects. The value of the material attribute can consist of either a Grasshopper color, a Grasshopper material or a ShapeDiver material. Please note that all materials need to be assigned using the key name 'material' (lower case). true 25ec3700-dfae-4a86-8a34-35d14c62029c Construct Attributes ConstructAttr 5239 266 65 44 5270 288 1 Attribute Keys. Use the name 'material' (lower case) to assign material attributes. 3830f17e-93a1-4096-952e-2e6dc4e03dd9 Keys K false 55920665-490b-4051-be8b-a392fef1e13e 1 5241 268 14 20 5249.5 278 1 Attribute Values f4757ac5-3a1d-44d0-bf94-3028fadb2810 Values V false 003000d3-e2d6-42d9-a77e-da2120ea2fec 1 5241 288 14 20 5249.5 298 ShapeDiver attributes object c11d9a18-8343-444a-bde1-92d447a982ff Attributes A false 0 5285 268 17 40 5293.5 288 0702da11-96b3-4601-90ed-a01bbd934571 a5842022-2fa3-43c6-9e0e-3150ebe617c1 Construct Attributes Construct ShapeDiver attributes that can be attached to a geometry or primitive object. This component can also be used to assign display materials to objects. The value of the material attribute can consist of either a Grasshopper color, a Grasshopper material or a ShapeDiver material. Please note that all materials need to be assigned using the key name 'material' (lower case). true c824af09-1b7e-4c8e-889b-d7157431d3fc Construct Attributes ConstructAttr 5239 152 65 44 5270 174 1 Attribute Keys. Use the name 'material' (lower case) to assign material attributes. 5e8c1255-ddad-4563-9687-6211f322a08c Keys K false 9eded9a7-a6ce-456d-97c3-9fdb18dcd0a6 1 5241 154 14 20 5249.5 164 1 Attribute Values d7bbaa8a-eb37-4acd-a103-0b51f32b2e55 Values V false e28d07ec-9c38-456e-b9cf-31f53e1c38cf 1 5241 174 14 20 5249.5 184 ShapeDiver attributes object 57372b9a-fe8b-4d78-adce-b842473edf7c Attributes A false 0 5285 154 17 40 5293.5 174 5e345247-6850-403e-8b22-07c6f05acb2a a5842022-2fa3-43c6-9e0e-3150ebe617c1 Inject Attributes Inject ShapeDiver attributes into a geometry or primitive object. true 41754e32-e91d-48a1-a553-850e367ffd76 Inject Attributes InjectAttr 5434 256 67 44 5466 278 Object to assign ShapeDiver attributes to. 9648bd3d-1ec8-4331-bf2a-eddbe8fff139 Object O false d40568e1-4202-40c5-a4cf-e4129a2b810b 1 5436 258 15 20 5445 268 Attributes to be assigned to the geometry. In case the object already has attributes, these attributes will be added. Values of existing keys will be replaced. a0b07919-1a40-4add-98a2-0c1b78a02310 Attributes A false c11d9a18-8343-444a-bde1-92d447a982ff 1 5436 278 15 20 5445 288 Object with ShapeDiver attributes a735acfd-e140-4a7a-8df5-ede79aad6645 Object O false 0 5481 258 18 40 5490 278 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 150;170;135;255 A group of Grasshopper objects 9eded9a7-a6ce-456d-97c3-9fdb18dcd0a6 55ed89a0-beca-4110-b0ea-7276d151a39b 044c2715-135e-4c83-87a0-37c1897b71e3 55920665-490b-4051-be8b-a392fef1e13e fd909fc7-c3b3-4f04-a804-aadecff4ed32 c51bcabe-4b01-4c70-be34-e00b255ecebb d40568e1-4202-40c5-a4cf-e4129a2b810b 06c85cf1-9410-4fe7-aa58-93a7fca4500d 25ec3700-dfae-4a86-8a34-35d14c62029c c824af09-1b7e-4c8e-889b-d7157431d3fc 41754e32-e91d-48a1-a553-850e367ffd76 11 7ea8eb67-5cc3-4291-b327-879cf2ba6934 Group deaa0f0c-a599-41a5-8ed4-a68b20a762d4 b9116316-c87d-4212-a382-bc40035939bb CreateModelState Action Create an App Builder "Create model state" action. 984ba84e-4790-4f0a-b003-b4979ec51002 CreateModelState Action CreateModelState 4765 1999 71 144 4802 2071 Label of the button. Optional, defaults to "Save configuration". 0088816b-c5e8-4aeb-b66f-f37f98f6a72a Label L true 0 4767 2001 20 20 4778.5 2011 An icon name. See list of preset icons. 800bd0e1-d12d-47f2-98ac-4766358eef3c Icon I true 0 4767 2021 20 20 4778.5 2031 Optional tooltip. 8416eb9e-97ed-4f49-a4d9-c8288b737d4a Tooltip T true 0 4767 2041 20 20 4778.5 2051 Flag to control whether an image of the scene shall be included with the model state. b3c63aad-968b-47d7-8a7c-5eca41c82859 Image IM true 0 4767 2061 20 20 4778.5 2071 Public URI of an image to be used instead of a screenshot. 096e6372-5ae9-444d-b924-3706840954b7 URI IU true 0 4767 2081 20 20 4778.5 2091 Name of an Export Component creating the image to be used instead of a screenshot. Takes precedence over the URI. 5922e8f7-5f83-403b-9231-2a7337d7534b Export Name IE true 0 4767 2101 20 20 4778.5 2111 Flag to control whether a glTF export of the scene shall be included with the model state. eba7afcf-e6c7-4c81-b5df-7f0291d3772c glTF GL true 0 4767 2121 20 20 4778.5 2131 An App Builder "Create model state" action that can be included in an actions widget. ee548cd1-97ea-4acc-a395-425561c61ef3 Action A false 0 4817 2001 17 140 4825.5 2071 c7e62ce7-f6cd-41a5-a8dd-9f00c82ff47b b9116316-c87d-4212-a382-bc40035939bb Actions Widget Create an App Builder actions widget. 0df05a2b-8b4a-4776-831f-c83f8cc400c2 Actions Widget ActionsWidget 4951 2057 68 28 4982 2071 1 Actions to include in the widget. c767ac18-10c9-4762-880d-ef57805e363d Actions A false ee548cd1-97ea-4acc-a395-425561c61ef3 1 4953 2059 14 24 4961.5 2071 An actions widget that can be included in a tab or directly in a container for the web application. 8029f765-8e71-46c6-aa2e-bbad4766acbd Widget W false 0 4997 2059 20 24 5007 2071 3cadddef-1e2b-4c09-9390-0e8f78f7609f Merge Merge a bunch of data streams true 838335dd-3193-4d3c-bcca-ba43fdb869e2 Merge Merge 5089 1930 72 44 5127 1952 2 8ec86459-bf01-4409-baee-174d0d2b13d0 8ec86459-bf01-4409-baee-174d0d2b13d0 1 8ec86459-bf01-4409-baee-174d0d2b13d0 2 Data stream 1 61531d49-d1d1-4390-81f6-4635538f4a5e false Data 1 D1 true 7311f88c-f236-477e-a80c-7830406a655b 1 5091 1932 21 20 5103 1942 2 Data stream 2 52ae0506-4c0d-4615-b1e9-85cc6da3ed67 false Data 2 D2 true 8029f765-8e71-46c6-aa2e-bbad4766acbd 1 5091 1952 21 20 5103 1962 2 Result of merge a9dba47d-de77-4c11-af63-4117d9722925 Result R false 0 5142 1932 17 40 5150.5 1952 cfc623e5-c4ed-4f85-bfbb-87aeec15fe1b b9116316-c87d-4212-a382-bc40035939bb Secret Input Specify the name of a secret string you defined and securely stored on the ShapeDiver platform. 23e5d4dd-4ff8-456a-b05e-f8664b906fa8 Secret Input SecretInput 4356 1553 47 28 4370 1567 The secret value you defined and securely stored on the ShapeDiver platform. 3c91a5c4-b552-442f-ba46-61341022d0d3 Secret S false 0 4385 1555 16 24 4393 1567 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