-
0
2
2
-
1
0
7
- 9c42efb6-7638-4a03-ba94-a74c0cb01c78
- Shaded
- Selection
- 1
-
100;150;0;0
-
100;0;150;0
- 636638861156087679
- MeshGrammarMaker.ghx
- 0
-
-100
312
- 1.87666059
- 0
- 0
- ShapeDiver GmbH
- Alexander Schiftner
- https://www.shapediver.com
- 1
- Meshedit2000, Version=2.0.0.0, Culture=neutral, PublicKeyToken=null
- 2.0.0.0
- [uto]
- 14601aeb-b64f-9304-459d-d5d06df91218
- MeshEdit Components
- 2.0.0.0
- 66
- c552a431-af5b-46a9-a8a4-0fcbc27ef596
- Group
- 1
-
150;170;135;255
- A group of Grasshopper objects
- d6e63aeb-d41b-4159-8291-fa300d15fedf
- ff812c71-6eff-4ba4-ac10-f0bbac0635cb
- 3e149868-8d54-4a31-ac7f-42e6635c3881
- ebab2977-894e-41dc-ab26-a4f78b8ff40f
- 67c3133b-8402-4d33-b33c-601937b96ff9
- 0b053a3c-004b-41a7-a199-3884a324fc85
- 95e29007-d6b1-4cb9-afcb-e1926dc65e0d
- 09a75f4b-a290-4ae8-80f3-0abdd3d2315a
- a0d0550d-5443-42da-bbb4-0bc080d96212
- 96e46736-4bd6-4791-814e-f97fac682ea2
- 65d1b8d1-3a56-4759-ae4f-281804bf6b86
- 822a03b2-5b82-48d9-88b6-f752b095a1d2
- 12
- 8c72d701-9461-460a-b447-f95889022bf6
- Group
- c552a431-af5b-46a9-a8a4-0fcbc27ef596
- Group
- 5
-
150;170;135;255
- A group of Grasshopper objects
- b7eeae40-2c1a-4203-b707-aed6220b24aa
- d07ad7cd-9025-417a-99c0-d1d4bd739d83
- da9e8034-09ba-40db-8b28-992608254378
- 3
- d4417c31-3faa-43cd-99a2-ad3e0e05c1cb
- Group
- c552a431-af5b-46a9-a8a4-0fcbc27ef596
- Group
- 1
-
150;170;135;255
- A group of Grasshopper objects
- 56c52efb-74f4-4eac-98ab-bbf0f9bde81f
- 1
- 3f26a5f5-b530-43c5-9a92-82ca8e04362e
- Group
- c552a431-af5b-46a9-a8a4-0fcbc27ef596
- Group
- 1
-
150;170;135;255
- A group of Grasshopper objects
- 7745b202-041e-4c77-acc9-d67bc5c2e366
- 4f81f564-2996-464d-a348-0ce505997ed5
- 4e51a167-a772-424c-ba0c-c2a97436651c
- c0ac2ec0-f973-4197-aae9-5f81704aafcb
- 44a234da-158a-4e0c-bcdf-de6995c3d2d0
- 1563bc78-8220-4ecc-9758-b94df1ec22df
- 6b2ebf00-886c-40ca-9944-9c8966ed9619
- 7
- e8fa893c-a216-49da-8989-f6f38fe182f3
- Group
- c552a431-af5b-46a9-a8a4-0fcbc27ef596
- Group
- 1
-
150;170;135;255
- A group of Grasshopper objects
- 0
- 56c52efb-74f4-4eac-98ab-bbf0f9bde81f
- Group
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- d6e63aeb-d41b-4159-8291-fa300d15fedf
- Panel
- false
- 0
- 0
- nankurunaisa
-
514
243
150
32
- 0
- 0
- 0
-
514.4271
243.77
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- Microsoft Sans Serif
- 10
- fbac3e32-f100-4292-8692-77240a42fd1a
- Point
- Contains a collection of three-dimensional points
- true
- ff812c71-6eff-4ba4-ac10-f0bbac0635cb
- Point
- Pt
- false
- 0
-
701
418
50
24
-
726.7446
430.8915
- 1
- 1
- {0}
-
0
0
0
- d51e9b65-aa4e-4fd6-976c-cef35d421d05
- Boundary Surfaces
- Create planar surfaces from a collection of boundary edge curves.
- true
- 84e9ebeb-52ca-4714-a101-55c68c1d6d76
- Boundary Surfaces
- Planar
-
1377
274
63
28
-
1407
288
- 1
- Boundary curves
- b4d998ad-a5c4-4d1a-87c2-10d1aeac3cfe
- Edges
- E
- false
- 477958a5-3070-4422-9d46-0b01a972c4ad
- 1
-
1379
276
13
24
-
1387
288
- 1
- Resulting boundary surfaces
- ad4f2d50-ae6b-45e7-8af6-c697443697e8
- Surfaces
- S
- false
- 0
-
1422
276
16
24
-
1430
288
- cb95db89-6165-43b6-9c41-5702bc5bf137
- Boolean
- Contains a collection of boolean values
- 3e149868-8d54-4a31-ac7f-42e6635c3881
- Boolean
- Bool
- false
- 95e29007-d6b1-4cb9-afcb-e1926dc65e0d
- 1
-
704
291
50
24
-
729.1195
303.8035
- 1
- 1
- {0}
- false
- a9a8ebd2-fff5-4c44-a8f5-739736d129ba
- C# Script
- true
- A C#.NET scriptable component
-
36
67
- true
- 91e2edc6-0c1e-4258-a8fe-6a9067ac89d6
- C# Script
- Curves from text
- false
- 0
- if(text != null && text != String.Empty
&& font != null && font != String.Empty
&& pt != null){
if (size == 0)
size = 5;
Rhino.Geometry.TextEntity txt = new Rhino.Geometry.TextEntity();
Rhino.Geometry.Plane plane = Rhino.Geometry.Plane.WorldXY;
plane.Origin = pt;
txt.Plane = plane;
txt.Justification = TextJustification.BottomLeft;
txt.TextHeight = size;
txt.Text = text;
int idx = Rhino.RhinoDoc.ActiveDoc.Fonts.FindOrCreate(font, bold, italic);
txt.FontIndex = idx;
Rhino.Geometry.Curve[] crvs;
crvs = txt.Explode();
A = crvs;
} else {
Print("Not sufficient input data.");
}
- using System.IO;
using System.Linq;
using System.Data;
using System.Drawing;
using System.Reflection;
using System.Windows.Forms;
using System.Xml;
using System.Xml.Linq;
using System.Runtime.InteropServices;
using Rhino.DocObjects;
using Rhino.Collections;
using GH_IO;
using GH_IO.Serialization;
-
902
239
80
124
-
948
301
- 6
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 1
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- true
- Script Variable font
- d4621fb3-cb7a-4c71-8430-c5a7861e253a
- font
- font
- true
- 0
- true
- d6e63aeb-d41b-4159-8291-fa300d15fedf
- 1
- 9e93878a-f9c5-4f0a-8a70-584bf09f24bb
-
904
241
29
20
-
920
251
- true
- Script Variable bold
- 1eb9deba-9f75-4dbf-92b8-5f7064cb6459
- bold
- bold
- true
- 0
- true
- 3e149868-8d54-4a31-ac7f-42e6635c3881
- 1
- d60527f5-b5af-4ef6-8970-5f96fe412559
-
904
261
29
20
-
920
271
- true
- Script Variable italic
- d4e35137-7526-4a87-8894-b2bdc11f5c22
- italic
- italic
- true
- 0
- true
- 0
- d60527f5-b5af-4ef6-8970-5f96fe412559
-
904
281
29
20
-
920
291
- true
- Script Variable size
- cbc62d12-a8e4-4b5b-bbd4-84cb5ab4109d
- size
- size
- true
- 0
- true
- 67c3133b-8402-4d33-b33c-601937b96ff9
- 1
- 48d01794-d3d8-4aef-990e-127168822244
-
904
301
29
20
-
920
311
- true
- Script Variable text
- c2a7be90-83ce-42d0-b08b-b916342777e0
- text
- text
- true
- 0
- true
- ebab2977-894e-41dc-ab26-a4f78b8ff40f
- 1
- 9e93878a-f9c5-4f0a-8a70-584bf09f24bb
-
904
321
29
20
-
920
331
- true
- Script Variable pt
- 1cc822da-c763-43f6-abcf-86fe40ae4d0b
- pt
- pt
- true
- 0
- true
- ff812c71-6eff-4ba4-ac10-f0bbac0635cb
- 1
- e1937b56-b1da-4c12-8bd8-e34ee81746ef
-
904
341
29
20
-
920
351
- Output parameter A
- 076f7db0-e312-4399-9313-8521137b5ab7
- A
- A
- false
- 0
-
963
241
17
120
-
971.5
301
- 3ede854e-c753-40eb-84cb-b48008f14fd4
- Text
- Contains a collection of text fragments
- ebab2977-894e-41dc-ab26-a4f78b8ff40f
- Text
- Txt
- false
- 8121dcbe-960e-401a-9dbb-1c4740b46c7d
- 1
-
703
380
50
24
-
728.7469
392.1821
- 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312
- Number
- Contains a collection of floating point numbers
- 67c3133b-8402-4d33-b33c-601937b96ff9
- Number
- Width
- false
- 09a75f4b-a290-4ae8-80f3-0abdd3d2315a
- 1
-
704
348
50
24
-
729.403
360.0157
- 1
- 1
- {0}
- 1
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- 0b053a3c-004b-41a7-a199-3884a324fc85
- Panel
- false
- 0
- 0
- a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
0
1
2
3
4
5
6
7
8
9
,
.
!
:
-
_
#
*
+
;
<
>
-
507
384
71
100
- 0
- 0
- 0
-
507.7127
384.1706
-
255;255;250;90
- true
- true
- false
- false
- false
- true
- Courier New
- 5.33333349
- 2e78987b-9dfb-42a2-8b76-3923ac8bd91a
- Boolean Toggle
- Boolean (true/false) toggle
- 95e29007-d6b1-4cb9-afcb-e1926dc65e0d
- Boolean Toggle
- Bold
- false
- 0
- true
-
492
291
92
22
- 60e7defa-8b21-4ee1-99aa-a9223d6134ff
- Mesh Brep
- Create a mesh that approximates Brep geometry
- true
- 2bb742ae-be6e-4417-9ee1-57771c24733e
- Mesh Brep
- Mesh
-
1275
734
67
44
-
1305
756
- Brep geometry
- ac6db47c-8a1b-4987-bc0c-2eff6214b53d
- Brep
- B
- false
- 738fb965-8ffa-458e-9667-057b692e902e
- 1
-
1277
736
13
20
-
1285
746
- Settings to be used by meshing algorithm
- 75438bbe-8321-4a97-ad9a-260e2239a5b9
- Settings
- S
- false
- bc3130a4-4489-4887-a818-92fa15243c69
- 1
-
1277
756
13
20
-
1285
766
- 1
- 1
- {0}
- 0
- 16
- false
- 0
- 0.0001
- 0
- true
- 0
- 0.65
- true
- 0
- Mesh approximation
- 30635171-23d8-484f-a39f-0220f1e2950f
- Mesh
- M
- false
- 0
-
1320
736
20
40
-
1330
756
- 4a0180e5-d8f9-46e7-bd34-ced804601462
- Settings (Custom)
- Represents custom mesh settings.
- b7eeae40-2c1a-4203-b707-aed6220b24aa
- Settings (Custom)
- Custom Mesh Settings
-
985
664
109
204
-
1061
766
- Edges of adjacent faces are matched up if True.
- 852b3420-2b4e-44db-931e-f1165280ad09
- Stitch Seams
- Stitch
- false
- 0
-
987
666
59
20
-
1018
676
- 1
- 1
- {0}
- false
- Planar faces are meshed with a minimum amount of triangles.
- 3698d378-1412-4144-9e2a-8234d12308d1
- Simple Planes
- Planes
- false
- 0
-
987
686
59
20
-
1018
696
- 1
- 1
- {0}
- true
- Refine the initial grid if it exceeds tolerance accuracy.
- b09d9faa-3d0d-4b32-8c48-a92abe490ae7
- Refine
- Refine
- false
- 0
-
987
706
59
20
-
1018
716
- 1
- 1
- {0}
- false
- Minimum number of quads in the initial grid per face.
- 5b62ad15-8d7b-44f3-9e29-362ce0b7a9be
- Min Count
- Min
- false
- 0
-
987
726
59
20
-
1018
736
- 1
- 1
- {0}
- 0
- Maximum number of quads in the initial grid per face.
- ac7feb95-9c04-4542-aef8-f6b8f92c0605
- Max Count
- Max
- false
- 0
-
987
746
59
20
-
1018
756
- 1
- 1
- {0}
- 5
- Maximum aspect ratio of quads in the initial grid.
- abb66392-24ff-44dc-a26f-b88319b62edc
- Aspect Ratio
- Aspect
- false
- 0
-
987
766
59
20
-
1018
776
- 1
- 1
- {0}
- 0
- Maximum allowed distance between center of edges and underlying surface.
- 5e88db3e-eba3-4260-a158-77eec095b88d
- Max Distance
- Max Dist
- false
- 0
-
987
786
59
20
-
1018
796
- 1
- 1
- {0}
- 0.1
- Maximum allowed angle (in degrees) between the normals of two adjacent quads.
- 04aa7e8a-2480-4715-8ebf-73f05c5019cb
- Max Angle
- Max Angle
- false
- 0
-
987
806
59
20
-
1018
816
- 1
- 1
- {0}
- 45
- Minimum allowed edge length.
- 619fc5ed-657e-42bf-b588-71aed0d4068d
- Min Edge
- Min Edge
- false
- 0
-
987
826
59
20
-
1018
836
- 1
- 1
- {0}
- 0.1
- Maximum allowed edge length.
- c0be10ef-69ce-4ae9-a8fd-26b993c61397
- Max Edge
- Max Edge
- false
- 0
-
987
846
59
20
-
1018
856
- 1
- 1
- {0}
- 0
- Smooth mesh settings
- bc3130a4-4489-4887-a818-92fa15243c69
- Settings
- S
- false
- 0
-
1076
666
16
200
-
1084
766
- 4bc9dbbf-fec8-4348-a3af-e33e7edc8e7b
- Mesh Join
- Join a set of meshes into a single mesh
- true
- ad7d1e19-813b-46e6-b61a-3b813792d64d
- Mesh Join
- MJoin
-
2010
726
87
28
-
2044
740
- 1
- Meshes to join
- 8b539fc4-535d-452a-91ec-6bf8030c648d
- Meshes
- M
- false
- 060958be-a006-4e0a-ab9c-5b4729dabe3b
- 1
-
2012
728
17
24
-
2022
740
- Mesh join result
- 4f4fc76d-573c-469c-a9ae-21269228c001
- 1
- Mesh
- M
- false
- 0
-
2059
728
36
24
-
2069
740
- 1e936df3-0eea-4246-8549-514cb8862b7a
- Mesh
- Contains a collection of polygon meshes
- true
- 4e528cdb-6601-49c5-85a8-7d6ca39dfac3
- Mesh
- Mesh grammar
- false
- 19b5d10f-3cf8-473a-91cd-d9dccebd1ee0
- 1
-
2294
734
50
24
-
2319.322
746.796
- 0bb3d234-9097-45db-9998-621639c87d3b
- Bounding Box
- Solve oriented geometry bounding boxes.
- true
- 8d074d13-888b-445b-a3b5-509e98a2589a
- Bounding Box
- BBox
-
2373
597
64
44
-
2404
619
- 1
- Geometry to contain
- 64cf2bae-4a73-4ee5-976b-28570586082e
- Content
- C
- false
- 4e528cdb-6601-49c5-85a8-7d6ca39dfac3
- 1
-
2375
599
14
20
-
2383.5
609
- BoundingBox orientation plane
- true
- c66b1516-1748-4ad4-81c0-5e647aeb459c
- Plane
- P
- false
- 0
-
2375
619
14
20
-
2383.5
629
- 1
- 1
- {0}
-
0
0
0
1
0
0
0
1
0
- 1
- Aligned bounding box in world coordinates
- 3bea2ec3-3d0d-4520-b73c-e6b54eb43cc6
- Box
- B
- false
- 0
-
2419
599
16
20
-
2427
609
- 1
- Bounding box in orientation plane coordinates
- true
- e36e5e3b-f1fe-473c-b28f-1779559c2b66
- Box
- B
- false
- 0
-
2419
619
16
20
-
2427
629
- a10e8cdf-7c7a-4aac-aa70-ddb7010ab231
- Box Corners
- Extract all 8 corners of a box.
- true
- 734ad15e-d191-4757-be37-8ec02a01b787
- Box Corners
- Box Corners
-
2489
531
65
164
-
2519
613
- Base box
- e2bb954c-43a7-4ce7-a5e8-6adc42307893
- Box
- B
- false
- 3bea2ec3-3d0d-4520-b73c-e6b54eb43cc6
- 1
-
2491
533
13
160
-
2499
613
- Corner at {x=min, y=min, z=min}
- d4984185-3091-48ee-9114-5469e622a8c7
- Corner A
- A
- false
- 0
-
2534
533
18
20
-
2543
543
- Corner at {x=max, y=min, z=min}
- ddb92bc5-0ca7-4b18-a93d-af8e693c76c7
- Corner B
- B
- false
- 0
-
2534
553
18
20
-
2543
563
- Corner at {x=max, y=max, z=min}
- c2e2bc33-d58e-4b70-9dc5-1b1a3b6c8167
- Corner C
- C
- false
- 0
-
2534
573
18
20
-
2543
583
- Corner at {x=min, y=max, z=min}
- f4112ec1-1dd6-4e4b-aacb-433cbe197201
- Corner D
- D
- false
- 0
-
2534
593
18
20
-
2543
603
- Corner at {x=min, y=min, z=max}
- f900f55d-f242-45ca-a35d-8c92f11b8a08
- Corner E
- E
- false
- 0
-
2534
613
18
20
-
2543
623
- Corner at {x=max, y=min, z=max}
- cfcdd494-9c20-4ea1-87dc-44e7db1dd3f7
- Corner F
- F
- false
- 0
-
2534
633
18
20
-
2543
643
- Corner at {x=max, y=max, z=max}
- 30eca6b1-0304-45d1-8735-901562cb792b
- Corner G
- G
- false
- 0
-
2534
653
18
20
-
2543
663
- Corner at {x=min, y=min, z=max}
- 02d55c32-1e99-489a-a7c7-be8590bf278b
- Corner H
- H
- false
- 0
-
2534
673
18
20
-
2543
683
- 93b8e93d-f932-402c-b435-84be04d87666
- Distance
- Compute Euclidean distance between two point coordinates.
- true
- c34071dc-4f80-47fb-8517-8a95927cee86
- Distance
- Dist
-
2590
531
66
44
-
2621
553
- First point
- 8293772a-d6e6-4809-87d2-56d4aead9c9d
- Point A
- A
- false
- d4984185-3091-48ee-9114-5469e622a8c7
- 1
-
2592
533
14
20
-
2600.5
543
- Second point
- 89251264-ac45-4f7b-afb7-32a6110d55c8
- Point B
- B
- false
- ddb92bc5-0ca7-4b18-a93d-af8e693c76c7
- 1
-
2592
553
14
20
-
2600.5
563
- Distance between A and B
- 95851804-ec73-4fbe-b9c2-7f50897a9d65
- Distance
- D
- false
- 0
-
2636
533
18
40
-
2645
553
- 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312
- Number
- Contains a collection of floating point numbers
- 3ff92925-ea52-4004-a3c1-12f14fb5eebd
- Number
- Mesh grammar length
- false
- 95851804-ec73-4fbe-b9c2-7f50897a9d65
- 1
-
2754
543
50
24
-
2779.803
555.3002
- 1e936df3-0eea-4246-8549-514cb8862b7a
- Mesh
- Contains a collection of polygon meshes
- true
- 7745b202-041e-4c77-acc9-d67bc5c2e366
- Mesh
- Mesh grammar
- false
- 4e51a167-a772-424c-ba0c-c2a97436651c
- 1
- 2
-
651
777
50
24
-
676.4685
789.9913
- 1
- 16
- {0}
-
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
- 00000000-0000-0000-0000-000000000000
-
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
- 00000000-0000-0000-0000-000000000000
-
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- 00000000-0000-0000-0000-000000000000
-
Y2BkYGD4DwQgGgR4mIBEeFBGZl6+c35ubn6ejkJYalFxZn6erbmekaGekZGRgYWeobGBgaGOgnNpTklpUaptXmppSVFijo5CQGlSTmayd2plSH52ap6tqamRkYVhqqV5srmpqamxASvIFmGw4Xruqfm5qSVFlXq+qcUZLEBx9jKIPVyJRckZmWWpxim5nPkFqXl5pUVJxSwpiSWJIEUcHBxMICcKqDMw2ADpzMaQPk5mIIMfRJSwMzAw/apnYshgh3jn938mBhGo155cue7n/vKy4P6nDALNjEofdHdKx/wByhtA1VqYAQlTIL4kazxv74+n/8mlGdDA4cOHbWFseTk5e3m5OnsIr8EeCe9HwihioPgBKwcFn7yCmpqagqKimpy8vKycmrqqopKSijJQToWBQVVZRUVNUVVVRlZdXV9DU09ZVUlJQ0pdXVpGXd1AQlLSQFxCwkBMXFxUzMDAQEpfX0NfSkrUQETEUFhERNhQSMjQCIhFgFIGkpLS6lJSuoxMTMw6urpapnqazLpMTIy6Kio6LKysOqxsbFraHBzsHNra2mzs7No6bGzMLDo6HKZaWiamHBxCRoKCAoLApGIsIGDMLyDAb2xiYsLFzW3CzcPDb8LHx8tnYsLDCxTj5OLi4DQx6QDG6H3ZiCpGhgYGhyBoUqy45Ttxv/dhB5HjrxVkrUICAhz79WTf63/4dO+BijnnKw0LNvGDqnxcjy40NUcfPbr27p1JZ3VvKmlwvePs4OLrnby4cvrvaWkn28vvf6/dP8li2bT/W+oUs9dvbzn9aPauu9LKObnt+e6LDxTuO+P552mFUdzzrFvFP700z13SPn4s58qv8iyTbp2ffsX7j5jFP3TbfOzYF4mdxySOH/6m9rpdtq0+8o1x1YZvO07W5lz9H+w2/6pJ0ZwrmzVKH/54+7Wv7W3x8cQKz8kfJc2Ns5r6r82NKr5yRbaGbcXUpZkNdWtq+VYJv7WtZ/4yZ+ntlp2nkqbm7DO4rPKR/6D6x9+ix+oWvVj5LNYp9k1A1eF5vZYKa38z/jquu2f+edkrxV9XXmxhqU+8IuobKdJyR+PX5/KfM46qsu01qHFhrq+cvvvc1dQrQV1pH1Xuzd59VPEwe+HH9nu/rf+xXxXZsSFqyeWzoGAWTzReDg5mCQZYMCcnNDSyVbcFftOobrjBELJGw3v/y1+aG4DRcNx9kilYcSY8Tn7P+nT83Jcti87udOOs3uuZaXaUq+1b3q3vOctqerbl128/VLY4tW+vym3928k/n35TujOrjIeH99v1kltv9y27cuP+v7LD6yIUL8T5TTk+z1/1bF38zBW1d98JVb88zPVNoTTYOPfN47irt76v+76F/eX2e9JZ/Ebh/wOn/X389t23vlLXbwq/e5K13uxnulu4c9G1fx82C5fdDs5ueHZ2U/Sx8Mz9F4MO8C3Zdytj3tq3/1h+3zwzZ5tCsUQDQ8q+C1HMs1+ml75NtfXJcfwmdTXyduOdy9X/5+S+TVPbsOPyzvIyha/7em8fNDnxV9goIvecpdutxjPMP7lT+E/s3/v98Ru5L9W3m96wtzKfiF16VqZsfp7+1tu7Ha+v+5qzWNbDvoNtJrvQ80nVSexB0yd+Pt0X63Fd7sj2qVu2s59szphQNcHCw97j7uXPRt8Uap9dyvqmUNwV8/bAn+7JzgceLqixvya3RO4I+0ug2h8KXxm+Ky3zXXOCIwC9CEEGCcCSbubJ3YngmOmCx0xs0Fm95kCBt+f6xAXsqye53Qh9xtjCvmHTxhd+OSZJ3rYNU1KVO7YkKsYfjfdZLLro10+nVo8luV5/azpDknvP7ZwrXWVmPnmm5fMzZ3hZ/imd3SzoOOlQ0/bkuE5OPg0uGaNLE4ul2IXU7u1eslHQcYr5ddZwk2aXOa9MG90rsjKN/srdjWFOeeV/soX/S0jeAvP0R43uv5zme3cr3Q/bVHPMv9XN1ezlxbYLPLaTX7WzuIcG7U80Fqj1qjZwlih/NLdkn94B9bsuZsofVmrUneJsy7uz3PTD++JTmQkXlrP+sEh+Ot99hvFX2/VblEv7Th/+/6dizb+Hmy8/zpt4X8/8a+y1yovvUiK/N39sFu/563v/Mv+E56lnCrN//v7FWin9+t9F8wcf21uC/SbfT907/dzi70f3TFbn2bVW5PWfX/JMuhFN/bF6B95r1R6Wj67tvTr/WjL/wqa79ewF7sXPmic+e+0r9/Z6xM+tcV+nrpetcV3d/ttS9fXxO7uTPlckXZ32/0PST9P1v26tr3z6n9W881acrZ7bJ1CsLIFGFSMU4wYf7PFK01hdps2MxTCRhoqKHdg0Hzh8+LE9hH4Pl7d1XSLzv56pAcbnJs7WUTAKRsEoGAWjYBSMAgwAAA==
- 00000000-0000-0000-0000-000000000000
-
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
- 00000000-0000-0000-0000-000000000000
-
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
- 00000000-0000-0000-0000-000000000000
- 3ede854e-c753-40eb-84cb-b48008f14fd4
- Text
- Contains a collection of text fragments
- c0ac2ec0-f973-4197-aae9-5f81704aafcb
- Text
- Text grammar
- false
- 4f81f564-2996-464d-a348-0ce505997ed5
- 1
- 2
-
649
742
50
24
-
674.1576
754.318
- 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312
- Number
- Contains a collection of floating point numbers
- 44a234da-158a-4e0c-bcdf-de6995c3d2d0
- Number
- Mesh grammar length
- false
- 3ff92925-ea52-4004-a3c1-12f14fb5eebd
- 1
- 2
-
521
811
50
24
-
546.1265
823.9679
- 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312
- Number
- Contains a collection of floating point numbers
- 1563bc78-8220-4ecc-9758-b94df1ec22df
- Number
- Mesh grammar length
- false
- 44a234da-158a-4e0c-bcdf-de6995c3d2d0
- 1
- 2
-
669
811
50
24
-
694.6086
823.9679
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
474.5704
180.8963
-
772.3365
180.8963
-
772.3365
204.8343
-
474.5704
204.8343
- A quick note
- Microsoft Sans Serif
- a0d0550d-5443-42da-bbb4-0bc080d96212
- false
- Scribble
- Scribble
- 25
- Grammar generator input
-
469.5704
175.8963
307.7661
33.93799
-
474.5704
180.8963
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
469.4158
685.6019
-
798.9568
685.6019
-
798.9568
732.892
-
469.4158
732.892
- A quick note
- Microsoft Sans Serif
- 6b2ebf00-886c-40ca-9944-9c8966ed9619
- false
- Scribble
- Scribble
- 25
- Grammar generator output -
- connect and internalize
-
464.4158
680.6019
339.541
57.29004
-
469.4158
685.6019
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
908.9648
508.0432
-
1198.882
508.0432
-
1198.882
644.8596
-
908.9648
644.8596
- A quick note
- Microsoft Sans Serif
- d07ad7cd-9025-417a-99c0-d1d4bd739d83
- false
- Scribble
- Scribble
- 25
- adapt to change
meshing quality
Caution: better quality ->
-> slower loading time
-
903.9648
503.0432
299.917
146.8164
-
908.9648
508.0432
- a9a8ebd2-fff5-4c44-a8f5-739736d129ba
- C# Script
- true
- A C#.NET scriptable component
-
27
71
- true
- 96e46736-4bd6-4791-814e-f97fac682ea2
- C# Script
- C# ASCII chars
- true
- 0
- List<char> chars = new List<char>();
for (int i = 0; i < x.Count; i++) {
chars.Add((char) x[i]);
}
A = chars;
- using System.IO;
using System.Linq;
using System.Data;
using System.Drawing;
using System.Reflection;
using System.Windows.Forms;
using System.Xml;
using System.Xml.Linq;
using System.Runtime.InteropServices;
using Rhino.DocObjects;
using Rhino.Collections;
using GH_IO;
using GH_IO.Serialization;
-
496
502
72
44
-
525
524
- 1
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 2
- 3ede854e-c753-40eb-84cb-b48008f14fd4
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 1
- true
- Script Variable x
- 8a5f786b-d570-4ca5-a997-e2da6a782ffa
- x
- x
- true
- 1
- true
- 98b59821-79fa-4ae0-88a8-d6b4ab350fad
- 1
- 48d01794-d3d8-4aef-990e-127168822244
-
498
504
12
40
-
505.5
524
- 1
- Print, Reflect and Error streams
- b96297eb-2d5c-4fd3-a962-307b0a263d37
- out
- out
- false
- 0
-
540
504
26
20
-
553
514
- Output parameter A
- 8121dcbe-960e-401a-9dbb-1c4740b46c7d
- A
- A
- false
- 0
-
540
524
26
20
-
553
534
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
456.0492
39.07457
-
2295.918
39.07457
-
2295.918
142.932
-
456.0492
142.932
- A quick note
- Microsoft Sans Serif
- e21a3db3-0b60-4843-a5de-e601906b558e
- false
- Scribble
- Scribble
- 50
- This model allows you to create meshes representing characters or strings,
and internalize them in your Grasshopper model for performance optimization.
-
451.0492
34.07457
1849.869
113.8574
-
456.0492
39.07457
- deaf8653-5528-4286-807c-3de8b8dad781
- Surface
- Contains a collection of generic surfaces
- true
- 738fb965-8ffa-458e-9667-057b692e902e
- Surface
- Srf
- false
- ad4f2d50-ae6b-45e7-8af6-c697443697e8
- 1
- 2
-
1180
733
50
24
-
1205.257
745.5502
- 071c3940-a12d-4b77-bb23-42b5d3314a0d
- Clean Tree
- Removed all null and invalid items from a data tree.
- true
- 46046b8f-85a8-4984-9519-54f090263caf
- Clean Tree
- Clean
-
1003
231
65
84
-
1035
273
- 4
- cb95db89-6165-43b6-9c41-5702bc5bf137
- cb95db89-6165-43b6-9c41-5702bc5bf137
- cb95db89-6165-43b6-9c41-5702bc5bf137
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 1
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- Remove null items from the tree.
- 34a59baf-1b77-48e3-9501-b523978d972c
- Remove Nulls
- N
- false
- 0
-
1005
233
15
20
-
1014
243
- 1
- 1
- {0}
- true
- Remove invalid items from the tree.
- 6abff9e3-6453-4574-9337-e0d1b20336dc
- Remove Invalid
- X
- false
- 0
-
1005
253
15
20
-
1014
263
- 1
- 1
- {0}
- true
- Remove empty branches from the tree.
- 904c717a-9daa-4a87-aa25-c73f94939626
- Remove Empty
- E
- false
- 0
-
1005
273
15
20
-
1014
283
- 1
- 1
- {0}
- true
- 2
- Data tree to clean
- 86a49769-7c15-4dcd-b842-1a32ed5d5b0d
- Tree
- T
- false
- 076f7db0-e312-4399-9313-8521137b5ab7
- 1
-
1005
293
15
20
-
1014
303
- 2
- Spotless data tree
- f6ec8d28-01ba-4b04-81dc-31a69b1bd21c
- Tree
- T
- false
- 0
-
1050
233
16
80
-
1058
273
- a9a8ebd2-fff5-4c44-a8f5-739736d129ba
- C# Script
- true
- A C#.NET scriptable component
-
64
103
- true
- 2
- 5bf1a221-5f6c-4519-bb1d-1f1c4d50b6b1
- C# Script
- Loft Mesh
- false
- 0
-
// create mesh
List<int> indices = new List<int>();
DataTree<Mesh> meshes = new DataTree<Mesh>();
// first two vertices
for ( int k = 0; k < Polylines.BranchCount; k++ ) {
for ( int j = 1; j < Polylines.Branch(k).Count; j++ ) {
Polyline p = Polylines.Branch(k)[j - 1];
Polyline q = Polylines.Branch(k)[j];
Mesh m = new Mesh();
indices.Add(m.Vertices.Add(p[0]));
indices.Add(m.Vertices.Add(q[0]));
// remaining vertices and faces
for ( int i=1, imax = p.Count; i < imax; i++ ) {
indices.Add(m.Vertices.Add(p[i]));
indices.Add(m.Vertices.Add(q[i]));
int len = 2 + 2 * i;
m.Faces.AddFace(len - 4, len - 3, len - 1, len - 2);
}
meshes.Add(m, new GH_Path(Polylines.Path(k)));
}
}
//Clean Mesh
DataTree<Mesh> finalmeshes = new DataTree<Mesh>();
for ( int i = 0; i < meshes.BranchCount; i++ ) {
meshes.Branch(i)[0].Append(meshes.Branch(i).GetRange(1, meshes.Branch(i).Count - 1));
finalmeshes.Add(meshes.Branch(i)[0], new GH_Path(Polylines.Path(i)));;
for ( int k = 0; k < finalmeshes.Branch(i).Count; k++ ) {
finalmeshes.Branch(i)[k].Vertices.CombineIdentical(true, true);
finalmeshes.Branch(i)[k].Unweld(Weld, true);
finalmeshes.Branch(i)[k].RebuildNormals();
}
}
Mesh = finalmeshes;
- Create a lofted mesh through a set of section polylines
- using System.IO;
using System.Linq;
using System.Data;
using System.Drawing;
using System.Reflection;
using System.Windows.Forms;
using System.Xml;
using System.Xml.Linq;
using System.Runtime.InteropServices;
using Rhino.DocObjects;
using Rhino.Collections;
using GH_IO;
using GH_IO.Serialization;
-
1517
366
121
44
-
1584
388
- 2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
- 1
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 2
- true
- Script Variable Polylines
- 6dcec4e6-0d6b-47a2-b3cb-1943db0f7fe5
- Polylines
- Polylines
- true
- 2
- true
- d9a8baf8-d3f4-42a7-a9ab-1459baa967d3
- 1
- 66fa617b-e3e8-4480-9f1e-2c0688c1d21b
-
1519
368
50
20
-
1545.5
378
- true
- Script Variable Weld
- f36036c5-51d9-496a-8c34-70e81b4260cb
- Weld
- Weld
- true
- 0
- true
- 0
- 19ff81a2-dc4f-4035-8de9-26224c561321
-
1519
388
50
20
-
1545.5
398
- 1
- 1
- {0}
- Grasshopper.Kernel.Types.GH_Number
- 0.52359877559829882
- Output parameter Mesh
- a4703ce7-ee36-4508-b63c-51f8098c6d98
- Mesh
- Mesh
- false
- 0
-
1599
368
37
40
-
1617.5
388
- e9eb1dcf-92f6-4d4d-84ae-96222d60f56b
- Move
- Translate (move) an object along a vector.
- true
- c5cfaa7a-8971-499f-b5fa-5f590ab16805
- Move
- Move
-
1286
376
67
44
-
1318
398
- Base geometry
- 87fa5bb0-8568-4b2f-abaa-6ca4c950273e
- Geometry
- G
- true
- 477958a5-3070-4422-9d46-0b01a972c4ad
- 1
-
1288
378
15
20
-
1297
388
- Translation vector
- fa7fdf48-f92d-4edd-bcf1-c5b9e8f3eb80
- Motion
- T
- false
- 4d41cb0a-e832-4543-a177-2a9440ab05d6
- 1
-
1288
398
15
20
-
1297
408
- 1
- 1
- {0}
-
0
0
10
- Translated geometry
- fae9f534-5d52-4a51-b05f-a2ad70e1bb7e
- Geometry
- G
- false
- 0
-
1333
378
18
20
-
1342
388
- Transformation data
- 5e61f32d-2045-4936-b6c4-61b8f894c44e
- Transform
- X
- false
- 0
-
1333
398
18
20
-
1342
408
- 9103c240-a6a9-4223-9b42-dbd19bf38e2b
- Unit Z
- Unit vector parallel to the world {z} axis.
- 3952aed4-f2e0-45f2-89b1-970af76a65b8
- Unit Z
- Z
-
1167
394
63
28
-
1196
408
- Unit multiplication
- ac4255e5-03d1-4e5f-8573-00e003639777
- Factor
- F
- false
- 67c3133b-8402-4d33-b33c-601937b96ff9
- 1
-
1169
396
12
24
-
1176.5
408
- 1
- 1
- {0}
- 1
- World {z} vector
- 4d41cb0a-e832-4543-a177-2a9440ab05d6
- Unit vector
- V
- false
- 0
-
1211
396
17
24
-
1219.5
408
- 3cadddef-1e2b-4c09-9390-0e8f78f7609f
- Merge
- Merge a bunch of data streams
- true
- 5fcc9fe6-0ebc-47fe-b9ae-caf3016b44b9
- Merge
- Merge
-
1377
356
88
44
-
1431
378
- 2
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 1
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 2
- Data stream 1
- 7ec7b7d4-5b6d-4dc2-b856-a69e8d80df16
- 2
- false
- Data 1
- D1
- true
- 477958a5-3070-4422-9d46-0b01a972c4ad
- 1
-
1379
358
37
20
-
1407
368
- 2
- Data stream 2
- 5a4e7731-06e2-467f-85e6-8d33e4b80c43
- 2
- false
- Data 2
- D2
- true
- fae9f534-5d52-4a51-b05f-a2ad70e1bb7e
- 1
-
1379
378
37
20
-
1407
388
- 2
- Result of merge
- d9a8baf8-d3f4-42a7-a9ab-1459baa967d3
- Result
- R
- false
- 0
-
1446
358
17
40
-
1454.5
378
- 2956d989-3599-476f-bc92-1d847aff98b6
- Curve To Polyline
- Convert a curve to a polyline.
- true
- 972a8456-e9a0-4dc7-b189-47836b67a060
- Curve To Polyline
- ToPoly
-
1167
261
86
104
-
1204
313
- Curve to simplify
- d8a801ba-0fb0-4418-916f-7396435051b8
- Curve
- C
- false
- f6ec8d28-01ba-4b04-81dc-31a69b1bd21c
- 1
-
1169
263
20
20
-
1180.5
273
- Deviation tolerance
- 6789fe7d-1e6a-426b-a3ed-a99d61bd411a
- Tolerance (distance)
- Td
- false
- da9e8034-09ba-40db-8b28-992608254378
- 1
-
1169
283
20
20
-
1180.5
293
- 1
- 1
- {0}
- 0.001
- Angle tolerance in radians
- caccfdbf-0043-415f-bbe0-485a5f439db7
- Tolerance (angle)
- Ta
- false
- 0
- false
-
1169
303
20
20
-
1180.5
313
- 1
- 1
- {0}
- 0
- Optional minimum allowed segment length
- a10fe642-669b-4ad9-9add-9c004b042cf6
- MinEdge
- E-
- true
- 0
-
1169
323
20
20
-
1180.5
333
- Optional maximum allowed segment length
- db4e5f04-e613-445e-99b7-d7d0173f165f
- MaxEdge
- E+
- true
- 0
-
1169
343
20
20
-
1180.5
353
- Converted curve
- 477958a5-3070-4422-9d46-0b01a972c4ad
- Polyline
- P
- false
- true
- 0
-
1219
263
32
50
-
1227
288
- Number of polyline segments
- 236374e6-3034-4a0c-8111-3bd9b9856ece
- Segments
- S
- false
- 0
-
1219
313
32
50
-
1227
338
- 57da07bd-ecab-415d-9d86-af36d7073abc
- Number Slider
- Numeric slider for single values
- da9e8034-09ba-40db-8b28-992608254378
- Number Slider
- Tolerance
- false
- 0
-
904
481
180
20
-
904.0694
481.0192
- 3
- 1
- 0
- 1
- 0
- 0
- 0.001
- 1177d6ee-3993-4226-9558-52b7fd63e1e3
- Trim Tree
- Reduce the complexity of a tree by merging the outermost branches.
- true
- 6e40b5e5-6c5f-4f74-b669-abceabef620a
- Trim Tree
- Trim
-
1659
376
65
44
-
1691
398
- 2
- Data tree to flatten
- e92e1cdf-6227-47b2-9d6b-2f5dca21cc6e
- Tree
- T
- false
- a4703ce7-ee36-4508-b63c-51f8098c6d98
- 1
-
1661
378
15
20
-
1670
388
- Number of outermost branches to merge
- f8a303a6-34b9-4fae-8ae7-b8a77c9a65a1
- Depth
- D
- false
- 0
-
1661
398
15
20
-
1670
408
- 1
- 1
- {0}
- 1
- 2
- Trimmed data tree
- 0eedc6ca-64a2-4f7e-91d4-c370cdb81091
- Tree
- T
- false
- 0
-
1706
378
16
40
-
1714
398
- e9eb1dcf-92f6-4d4d-84ae-96222d60f56b
- Move
- Translate (move) an object along a vector.
- true
- 277b6c83-601d-4872-be93-281ac412703d
- Move
- Move
-
1585
772
67
44
-
1617
794
- Base geometry
- e2dff49c-afcd-411c-9892-05f20aca4c5c
- Geometry
- G
- true
- 30635171-23d8-484f-a39f-0220f1e2950f
- 1
-
1587
774
15
20
-
1596
784
- Translation vector
- 442e4b47-bb66-444f-8846-1a0ef059591f
- Motion
- T
- false
- 4d41cb0a-e832-4543-a177-2a9440ab05d6
- 1
- 2
-
1587
794
15
20
-
1596
804
- 1
- 1
- {0}
-
0
0
10
- Translated geometry
- fc71ea10-79df-47f4-90ce-e1c9ec99fde0
- Geometry
- G
- false
- 0
-
1632
774
18
20
-
1641
784
- Transformation data
- 3a77cb57-690f-46b0-a685-a2170904cb2b
- Transform
- X
- false
- 0
-
1632
794
18
20
-
1641
804
- 9266a2bb-918f-4675-9c91-f67d0dd33eac
- Quadrangulate
- Quadrangulate as many triangles as possible in a mesh
- true
- fd457597-c176-4378-9dbd-eaa2664625fa
- Quadrangulate
- Quad
-
2200
728
71
64
-
2234
760
- Mesh to quadrangulate
- b860515b-b004-4811-8a1e-a8943ab97817
- Mesh
- M
- false
- 1f4ae84b-c324-4d58-a916-f85a4bc9314e
- 1
-
2202
730
17
20
-
2212
740
- Angle threshold. Triangles that exceed this kink-angle will not be merged.
- a0159f36-a947-404e-9597-ac998b31b187
- Angle
- A
- false
- 0
-
2202
750
17
20
-
2212
760
- 1
- 1
- {0}
- 0.034906585039886591
- Ratio threshold. Quads that have a ratio (shortest diagonal/longest diagonal) that exceed the threshold, will not be considered.
- 4825a3df-b846-486e-8be9-05d1e5a570f0
- Ratio
- R
- false
- 0
-
2202
770
17
20
-
2212
780
- 1
- 1
- {0}
- 0.875
- Quadrangulated mesh (not all triangles are guaranteed to be converted).
- 19b5d10f-3cf8-473a-91cd-d9dccebd1ee0
- Mesh
- M
- false
- 0
-
2249
730
20
30
-
2259
745
- Number of triangles that were quadrangulated
- 40bdbcf4-cfd2-4f22-81af-5f14783e1516
- Count
- N
- false
- 0
-
2249
760
20
30
-
2259
775
- eeafc956-268e-461d-8e73-ee05c6f72c01
- Stream Filter
- Filters a collection of input streams
- true
- ccdeca11-413c-4f7a-a536-f85ffbf78c06
- Stream Filter
- Filter
-
1913
708
77
64
-
1945
740
- 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
- d40ceee4-3867-47bb-acce-8ba1cef48301
- Gate
- G
- false
- 098a8acf-ecc8-4fce-af63-326176a754b8
- 1
-
1915
710
15
20
-
1924
720
- 1
- 1
- {0}
- 0
- 2
- Input stream at index 0
- 2e95fb37-b60d-4b5d-8765-106ae008577b
- false
- Stream 0
- 0
- true
- 30635171-23d8-484f-a39f-0220f1e2950f
- 1
-
1915
730
15
20
-
1924
740
- 2
- Input stream at index 1
- fe180da6-2d84-4dca-ad30-1e6da1c38ed7
- false
- Stream 1
- 1
- true
- 30635171-23d8-484f-a39f-0220f1e2950f
- fc71ea10-79df-47f4-90ce-e1c9ec99fde0
- 0eedc6ca-64a2-4f7e-91d4-c370cdb81091
- 3
-
1915
750
15
20
-
1924
760
- 2
- Filtered stream
- 060958be-a006-4e0a-ab9c-5b4729dabe3b
- false
- Stream
- S(1)
- false
- 0
-
1960
710
28
60
-
1974
740
- 2e78987b-9dfb-42a2-8b76-3923ac8bd91a
- Boolean Toggle
- Boolean (true/false) toggle
- 65d1b8d1-3a56-4759-ae4f-281804bf6b86
- Boolean Toggle
- 3D Text?
- false
- 0
- true
-
508
209
112
22
- cb95db89-6165-43b6-9c41-5702bc5bf137
- Boolean
- Contains a collection of boolean values
- 822a03b2-5b82-48d9-88b6-f752b095a1d2
- Boolean
- 3D Text?
- false
- 65d1b8d1-3a56-4759-ae4f-281804bf6b86
- 1
-
639
210
50
24
-
664.3084
222.4491
- cb95db89-6165-43b6-9c41-5702bc5bf137
- Boolean
- Contains a collection of boolean values
- 1
- 098a8acf-ecc8-4fce-af63-326176a754b8
- Boolean
- 3D Text?
- false
- 822a03b2-5b82-48d9-88b6-f752b095a1d2
- 1
- 2
-
1482
684
55
20
-
1510.034
694.0255
- 98c2a1f2-5ba6-4be0-8999-c540097406c5
- 14601aeb-b64f-9304-459d-d5d06df91218
- Mesh UnifyNormals
- Attempts to fix inconsistencies in the directions of meshfaces for a mesh
- true
- 41bb8487-b05b-499d-b62d-77c2c47fc095
- Mesh UnifyNormals
- UnifyNormals
-
2113
726
71
28
-
2147
740
- The open or closed mesh
- true
- 3c3d7ae0-b239-4b1b-9f91-4bb80ec48e67
- Mesh
- M
- false
- 4f4fc76d-573c-469c-a9ae-21269228c001
- 1
-
2115
728
17
24
-
2125
740
- The constructed mesh
- 1f4ae84b-c324-4d58-a916-f85a4bc9314e
- Mesh
- M
- false
- 0
-
2162
728
20
24
-
2172
740
- e64c5fb1-845c-4ab1-8911-5f338516ba67
- Series
- Create a series of numbers.
- ab028440-d120-43b0-9d87-ed45a6b341dc
- Series
- Series
-
236
366
65
64
-
268
398
- First number in the series
- 8331d755-f75e-4c72-a3a0-0c4a3427ec1e
- Start
- S
- false
- 1e500dc4-2d2c-4984-9c0e-4b6a53151e60
- 1
-
238
368
15
20
-
247
378
- 1
- 1
- {0}
- 0
- Step size for each successive number
- 5bcfa572-4744-45f1-bfd7-71cb0371882b
- Step
- N
- false
- 0
-
238
388
15
20
-
247
398
- 1
- 1
- {0}
- 1
- Number of values in the series
- 9d12b9f6-779b-4a24-a225-82ecea2f0e4c
- Count
- C
- false
- 4ea1ed5a-c08f-49fd-bdea-31df6e3d6d5b
- 1
-
238
408
15
20
-
247
418
- 1
- 1
- {0}
- 10
- 1
- Series of numbers
- e6e9e517-8272-4991-8f1e-823b6463319d
- Series
- S
- false
- 0
-
283
368
16
60
-
291
398
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- 1e500dc4-2d2c-4984-9c0e-4b6a53151e60
- Panel
- false
- 0
- 0
- 33
-
176
370
36
20
- 0
- 0
- 0
-
176.8362
370.4581
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- 4ea1ed5a-c08f-49fd-bdea-31df6e3d6d5b
- Panel
- false
- 0
- 0
- 94
-
177
410
36
20
- 0
- 0
- 0
-
177.4037
410.2041
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- e64c5fb1-845c-4ab1-8911-5f338516ba67
- Series
- Create a series of numbers.
- 2006ed9c-e94d-479e-84e5-a4979d766651
- Series
- Series
-
231
465
65
64
-
263
497
- First number in the series
- 9a3d7896-8d90-4c01-b59c-746e09f9e05d
- Start
- S
- false
- ff1863fe-3810-403f-9e71-4c8e244b100c
- 1
-
233
467
15
20
-
242
477
- 1
- 1
- {0}
- 0
- Step size for each successive number
- e58e1ce6-f8c1-4713-a9b6-5895e358ccd7
- Step
- N
- false
- 0
-
233
487
15
20
-
242
497
- 1
- 1
- {0}
- 1
- Number of values in the series
- ece979f2-0b56-45cf-bc50-1f351ac0c278
- Count
- C
- false
- 0e7b5782-0bb4-4265-94ee-254ad7749c20
- 1
-
233
507
15
20
-
242
517
- 1
- 1
- {0}
- 10
- 1
- Series of numbers
- adeb744c-2fc4-46b7-ad38-149a206ec7b5
- Series
- S
- false
- 0
-
278
467
16
60
-
286
497
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- ff1863fe-3810-403f-9e71-4c8e244b100c
- Panel
- false
- 0
- 0
- 65
-
171
469
36
20
- 0
- 0
- 0
-
171.9331
469.3963
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- 0e7b5782-0bb4-4265-94ee-254ad7749c20
- Panel
- false
- 0
- 0
- 26
-
172
509
36
20
- 0
- 0
- 0
-
172.5006
509.1422
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- e64c5fb1-845c-4ab1-8911-5f338516ba67
- Series
- Create a series of numbers.
- 72d6c579-780b-4222-b298-adb272534894
- Series
- Series
-
233
553
65
64
-
265
585
- First number in the series
- ead32174-53a8-40c7-8462-b04b4910681f
- Start
- S
- false
- 1d45e64a-e647-4f16-b4c2-152eb46ae3d8
- 1
-
235
555
15
20
-
244
565
- 1
- 1
- {0}
- 0
- Step size for each successive number
- 035c1642-8a5b-4729-89f6-9b781481f0eb
- Step
- N
- false
- 0
-
235
575
15
20
-
244
585
- 1
- 1
- {0}
- 1
- Number of values in the series
- b69b47cf-d54f-4914-b4fb-f8bbb63d975c
- Count
- C
- false
- fc0808d0-4087-4c98-b3cd-780d005e264e
- 1
-
235
595
15
20
-
244
605
- 1
- 1
- {0}
- 10
- 1
- Series of numbers
- 66b1c7a5-9bd4-4115-be66-cf313ec0ff84
- Series
- S
- false
- 0
-
280
555
16
60
-
288
585
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- 1d45e64a-e647-4f16-b4c2-152eb46ae3d8
- Panel
- false
- 0
- 0
- 97
-
174
557
36
20
- 0
- 0
- 0
-
174.6893
557.9639
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
- fc0808d0-4087-4c98-b3cd-780d005e264e
- Panel
- false
- 0
- 0
- 26
-
175
597
36
20
- 0
- 0
- 0
-
175.2567
597.7098
-
255;255;250;90
- true
- true
- true
- false
- false
- true
- 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312
- Number
- Contains a collection of floating point numbers
- 98b59821-79fa-4ae0-88a8-d6b4ab350fad
- Number
- Num
- false
- adeb744c-2fc4-46b7-ad38-149a206ec7b5
- 66b1c7a5-9bd4-4115-be66-cf313ec0ff84
- 2
-
370
522
50
24
-
395.6238
534.3707
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
35.75537
488.6555
-
161.5977
488.6555
-
161.5977
512.0198
-
35.75537
512.0198
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