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- 1
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- [uto]
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- MeshEdit Components
- 1.9.0.0
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- Group
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-
150;170;135;255
- A group of Grasshopper objects
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- Group
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- Group
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-
150;170;135;255
- A group of Grasshopper objects
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- Group
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- Group
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-
150;170;135;255
- A group of Grasshopper objects
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- 1
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- Group
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- Group
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-
150;170;135;255
- A group of Grasshopper objects
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- Group
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- Group
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-
150;170;135;255
- A group of Grasshopper objects
- 0
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- Group
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- A panel for custom notes and text values
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181.8963
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0
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- Boundary Surfaces
- Create planar surfaces from a collection of boundary edge curves.
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1047
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13
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1090
299
16
24
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1098
311
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- Bool
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396.5887
325.9722
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&& 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.");
}
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570
262
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124
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616
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29
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588
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572
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29
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588
314
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572
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29
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631
264
17
120
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639.5
324
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371
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50
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396.2161
414.3508
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371
370
50
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396.8722
382.1844
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- Panel
- A panel for custom notes and text values
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- a
b
c
d
e
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k
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n
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p
q
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x
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A
B
C
D
E
F
G
H
I
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K
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M
N
O
P
Q
R
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T
U
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X
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0
1
2
3
4
5
6
7
8
9
,
.
!
:
-
_
#
*
+
;
<
>
-
175
406
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100
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175.1819
406.3393
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255;255;250;90
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- Courier New
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- Boolean (true/false) toggle
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- true
-
160
314
92
22
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- true
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- Mesh Brep
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-
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67
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-
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13
20
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953
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-
945
779
13
20
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953
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- Mesh approximation
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-
988
759
20
40
-
998
779
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- Settings (Custom)
- Represents custom mesh settings.
- b7eeae40-2c1a-4203-b707-aed6220b24aa
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-
653
687
109
204
-
729
789
- Edges of adjacent faces are matched up if True.
- 852b3420-2b4e-44db-931e-f1165280ad09
- Stitch Seams
- Stitch
- false
- 0
-
655
689
59
20
-
686
699
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- {0}
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- Planar faces are meshed with a minimum amount of triangles.
- 3698d378-1412-4144-9e2a-8234d12308d1
- Simple Planes
- Planes
- false
- 0
-
655
709
59
20
-
686
719
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- Refine the initial grid if it exceeds tolerance accuracy.
- b09d9faa-3d0d-4b32-8c48-a92abe490ae7
- Refine
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- false
- 0
-
655
729
59
20
-
686
739
- 1
- 1
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- Minimum number of quads in the initial grid per face.
- 5b62ad15-8d7b-44f3-9e29-362ce0b7a9be
- Min Count
- Min
- false
- 0
-
655
749
59
20
-
686
759
- 1
- 1
- {0}
- 0
- Maximum number of quads in the initial grid per face.
- ac7feb95-9c04-4542-aef8-f6b8f92c0605
- Max Count
- Max
- false
- 0
-
655
769
59
20
-
686
779
- 1
- 1
- {0}
- 5
- Maximum aspect ratio of quads in the initial grid.
- abb66392-24ff-44dc-a26f-b88319b62edc
- Aspect Ratio
- Aspect
- false
- 0
-
655
789
59
20
-
686
799
- 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
-
655
809
59
20
-
686
819
- 1
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- {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
-
655
829
59
20
-
686
839
- 1
- 1
- {0}
- 45
- Minimum allowed edge length.
- 619fc5ed-657e-42bf-b588-71aed0d4068d
- Min Edge
- Min Edge
- false
- 0
-
655
849
59
20
-
686
859
- 1
- 1
- {0}
- 0.1
- Maximum allowed edge length.
- c0be10ef-69ce-4ae9-a8fd-26b993c61397
- Max Edge
- Max Edge
- false
- 0
-
655
869
59
20
-
686
879
- 1
- 1
- {0}
- 0
- Smooth mesh settings
- bc3130a4-4489-4887-a818-92fa15243c69
- Settings
- S
- false
- 0
-
744
689
16
200
-
752
789
- 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
-
1678
749
87
28
-
1712
763
- 1
- Meshes to join
- 8b539fc4-535d-452a-91ec-6bf8030c648d
- Meshes
- M
- false
- 060958be-a006-4e0a-ab9c-5b4729dabe3b
- 1
-
1680
751
17
24
-
1690
763
- Mesh join result
- 4f4fc76d-573c-469c-a9ae-21269228c001
- 1
- Mesh
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- false
- 0
-
1727
751
36
24
-
1737
763
- 1e936df3-0eea-4246-8549-514cb8862b7a
- Mesh
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- true
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- Mesh
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- false
- 19b5d10f-3cf8-473a-91cd-d9dccebd1ee0
- 1
-
1961
756
50
24
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1986.791
768.9647
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- Bounding Box
- Solve oriented geometry bounding boxes.
- true
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- Bounding Box
- BBox
-
2041
620
64
44
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2072
642
- 1
- Geometry to contain
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2043
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14
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2051.5
632
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2043
642
14
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2051.5
652
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0
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1
0
0
0
1
0
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2087
622
16
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2095
632
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-
2087
642
16
20
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2095
652
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- Box Corners
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- true
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- Box Corners
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-
2157
554
65
164
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13
160
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- Corner at {x=min, y=min, z=min}
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- Corner A
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18
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- false
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2202
576
18
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2211
586
- Corner at {x=max, y=max, z=min}
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- Corner C
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18
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2211
606
- Corner at {x=min, y=max, z=min}
- f4112ec1-1dd6-4e4b-aacb-433cbe197201
- Corner D
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- false
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-
2202
616
18
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2211
626
- Corner at {x=min, y=min, z=max}
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- Corner E
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18
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- Corner at {x=max, y=min, z=max}
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656
18
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- Corner at {x=max, y=max, z=max}
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18
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18
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706
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- Distance
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- Distance
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- 1
-
2260
556
14
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2268.5
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2447.272
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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
- 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
-
316
764
50
24
-
341.6268
776.4867
- 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
-
188
834
50
24
-
213.5957
846.1366
- 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
-
337
834
50
24
-
362.0778
846.1366
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
142.0396
203.065
-
439.8057
203.065
-
439.8057
227.003
-
142.0396
227.003
- A quick note
- Microsoft Sans Serif
- a0d0550d-5443-42da-bbb4-0bc080d96212
- false
- Scribble
- Scribble
- 25
- Grammar generator input
-
137.0396
198.065
307.7661
33.93799
-
142.0396
203.065
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
136.885
707.7707
-
466.426
707.7707
-
466.426
755.0607
-
136.885
755.0607
- A quick note
- Microsoft Sans Serif
- 6b2ebf00-886c-40ca-9944-9c8966ed9619
- false
- Scribble
- Scribble
- 25
- Grammar generator output -
- connect and internalize
-
131.885
702.7707
339.541
57.29004
-
136.885
707.7707
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
576.434
530.212
-
866.351
530.212
-
866.351
667.0284
-
576.434
667.0284
- 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
-
571.434
525.212
299.917
146.8164
-
576.434
530.212
- a9a8ebd2-fff5-4c44-a8f5-739736d129ba
- C# Script
- A C#.NET scriptable component
-
14
72
- true
- 96e46736-4bd6-4791-814e-f97fac682ea2
- C# Script
- C# ASCII chars
- true
- 0
- List<char> chars = new List<char>();
for (int i=33; i<127; i++)
chars.Add((char) i);
A = chars;
-
179
525
57
44
-
193
547
- 0
- 2
- 3ede854e-c753-40eb-84cb-b48008f14fd4
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- 1
- Print, Reflect and Error streams
- b96297eb-2d5c-4fd3-a962-307b0a263d37
- out
- out
- false
- 0
-
208
527
26
20
-
221
537
- Output parameter A
- 8121dcbe-960e-401a-9dbb-1c4740b46c7d
- A
- A
- false
- 0
-
208
547
26
20
-
221
557
- 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe
- Scribble
- true
-
123.5184
61.2433
-
1963.387
61.2433
-
1963.387
165.1007
-
123.5184
165.1007
- 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.
-
118.5184
56.2433
1849.868
113.8574
-
123.5184
61.2433
- 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
-
847
755
50
24
-
872.7265
767.7189
- 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
-
671
254
65
84
-
703
296
- 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
-
673
256
15
20
-
682
266
- 1
- 1
- {0}
- true
- Remove invalid items from the tree.
- 6abff9e3-6453-4574-9337-e0d1b20336dc
- Remove Invalid
- X
- false
- 0
-
673
276
15
20
-
682
286
- 1
- 1
- {0}
- true
- Remove empty branches from the tree.
- 904c717a-9daa-4a87-aa25-c73f94939626
- Remove Empty
- E
- false
- 0
-
673
296
15
20
-
682
306
- 1
- 1
- {0}
- true
- 2
- Data tree to clean
- 86a49769-7c15-4dcd-b842-1a32ed5d5b0d
- Tree
- T
- false
- 076f7db0-e312-4399-9313-8521137b5ab7
- 1
-
673
316
15
20
-
682
326
- 2
- Spotless data tree
- f6ec8d28-01ba-4b04-81dc-31a69b1bd21c
- Tree
- T
- false
- 0
-
718
256
16
80
-
726
296
- 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;
-
1185
389
121
44
-
1252
411
- 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
-
1187
391
50
20
-
1213.5
401
- true
- Script Variable Weld
- f36036c5-51d9-496a-8c34-70e81b4260cb
- Weld
- Weld
- true
- 0
- true
- 0
- 19ff81a2-dc4f-4035-8de9-26224c561321
-
1187
411
50
20
-
1213.5
421
- 1
- 1
- {0}
- Grasshopper.Kernel.Types.GH_Number
- 0.52359877559829882
- Output parameter Mesh
- a4703ce7-ee36-4508-b63c-51f8098c6d98
- Mesh
- Mesh
- false
- 0
-
1267
391
37
40
-
1285.5
411
- e9eb1dcf-92f6-4d4d-84ae-96222d60f56b
- Move
- Translate (move) an object along a vector.
- true
- c5cfaa7a-8971-499f-b5fa-5f590ab16805
- Move
- Move
-
954
399
67
44
-
986
421
- Base geometry
- 87fa5bb0-8568-4b2f-abaa-6ca4c950273e
- Geometry
- G
- true
- 477958a5-3070-4422-9d46-0b01a972c4ad
- 1
-
956
401
15
20
-
965
411
- Translation vector
- fa7fdf48-f92d-4edd-bcf1-c5b9e8f3eb80
- Motion
- T
- false
- 4d41cb0a-e832-4543-a177-2a9440ab05d6
- 1
-
956
421
15
20
-
965
431
- 1
- 1
- {0}
-
0
0
10
- Translated geometry
- fae9f534-5d52-4a51-b05f-a2ad70e1bb7e
- Geometry
- G
- false
- 0
-
1001
401
18
20
-
1010
411
- Transformation data
- 5e61f32d-2045-4936-b6c4-61b8f894c44e
- Transform
- X
- false
- 0
-
1001
421
18
20
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1010
431
- 9103c240-a6a9-4223-9b42-dbd19bf38e2b
- Unit Z
- Unit vector parallel to the world {z} axis.
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- Unit Z
- Z
-
835
417
63
28
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864
431
- Unit multiplication
- ac4255e5-03d1-4e5f-8573-00e003639777
- Factor
- F
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- 1
-
837
419
12
24
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844.5
431
- 1
- 1
- {0}
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- World {z} vector
- 4d41cb0a-e832-4543-a177-2a9440ab05d6
- Unit vector
- V
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- 0
-
879
419
17
24
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887.5
431
- 3cadddef-1e2b-4c09-9390-0e8f78f7609f
- Merge
- Merge a bunch of data streams
- true
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- Merge
- Merge
-
1045
379
88
44
-
1099
401
- 2
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- Data stream 1
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- Data 1
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- true
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- 1
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1047
381
37
20
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1075
391
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- Data stream 2
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- 2
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- Data 2
- D2
- true
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- 1
-
1047
401
37
20
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1075
411
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- Result of merge
- d9a8baf8-d3f4-42a7-a9ab-1459baa967d3
- Result
- R
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- 0
-
1114
381
17
40
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1122.5
401
- 2956d989-3599-476f-bc92-1d847aff98b6
- Curve To Polyline
- Convert a curve to a polyline.
- true
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- Curve To Polyline
- ToPoly
-
835
284
86
104
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872
336
- Curve to simplify
- d8a801ba-0fb0-4418-916f-7396435051b8
- Curve
- C
- false
- f6ec8d28-01ba-4b04-81dc-31a69b1bd21c
- 1
-
837
286
20
20
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848.5
296
- Deviation tolerance
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- Tolerance (distance)
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- false
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- 1
-
837
306
20
20
-
848.5
316
- 1
- 1
- {0}
- 0.001
- Angle tolerance in radians
- caccfdbf-0043-415f-bbe0-485a5f439db7
- Tolerance (angle)
- Ta
- false
- 0
- false
-
837
326
20
20
-
848.5
336
- 1
- 1
- {0}
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- Optional minimum allowed segment length
- a10fe642-669b-4ad9-9add-9c004b042cf6
- MinEdge
- E-
- true
- 0
-
837
346
20
20
-
848.5
356
- Optional maximum allowed segment length
- db4e5f04-e613-445e-99b7-d7d0173f165f
- MaxEdge
- E+
- true
- 0
-
837
366
20
20
-
848.5
376
- Converted curve
- 477958a5-3070-4422-9d46-0b01a972c4ad
- Polyline
- P
- false
- true
- 0
-
887
286
32
50
-
895
311
- Number of polyline segments
- 236374e6-3034-4a0c-8111-3bd9b9856ece
- Segments
- S
- false
- 0
-
887
336
32
50
-
895
361
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- Number Slider
- Numeric slider for single values
- da9e8034-09ba-40db-8b28-992608254378
- Number Slider
- Tolerance
- false
- 0
-
571
503
180
20
-
571.5386
503.1879
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- 1
- 0
- 1
- 0
- 0
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- 1177d6ee-3993-4226-9558-52b7fd63e1e3
- Trim Tree
- Reduce the complexity of a tree by merging the outermost branches.
- true
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- Trim Tree
- Trim
-
1327
399
65
44
-
1359
421
- 2
- Data tree to flatten
- e92e1cdf-6227-47b2-9d6b-2f5dca21cc6e
- Tree
- T
- false
- a4703ce7-ee36-4508-b63c-51f8098c6d98
- 1
-
1329
401
15
20
-
1338
411
- Number of outermost branches to merge
- f8a303a6-34b9-4fae-8ae7-b8a77c9a65a1
- Depth
- D
- false
- 0
-
1329
421
15
20
-
1338
431
- 1
- 1
- {0}
- 1
- 2
- Trimmed data tree
- 0eedc6ca-64a2-4f7e-91d4-c370cdb81091
- Tree
- T
- false
- 0
-
1374
401
16
40
-
1382
421
- e9eb1dcf-92f6-4d4d-84ae-96222d60f56b
- Move
- Translate (move) an object along a vector.
- true
- 277b6c83-601d-4872-be93-281ac412703d
- Move
- Move
-
1253
795
67
44
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1285
817
- Base geometry
- e2dff49c-afcd-411c-9892-05f20aca4c5c
- Geometry
- G
- true
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1255
797
15
20
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1264
807
- Translation vector
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- Motion
- T
- false
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- 1
- 2
-
1255
817
15
20
-
1264
827
- 1
- 1
- {0}
-
0
0
10
- Translated geometry
- fc71ea10-79df-47f4-90ce-e1c9ec99fde0
- Geometry
- G
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- 0
-
1300
797
18
20
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1309
807
- Transformation data
- 3a77cb57-690f-46b0-a685-a2170904cb2b
- Transform
- X
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-
1300
817
18
20
-
1309
827
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- Quadrangulate
- Quadrangulate as many triangles as possible in a mesh
- true
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- Quadrangulate
- Quad
-
1868
751
71
64
-
1902
783
- Mesh to quadrangulate
- b860515b-b004-4811-8a1e-a8943ab97817
- Mesh
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- 1
-
1870
753
17
20
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1880
763
- Angle threshold. Triangles that exceed this kink-angle will not be merged.
- a0159f36-a947-404e-9597-ac998b31b187
- Angle
- A
- false
- 0
-
1870
773
17
20
-
1880
783
- 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
-
1870
793
17
20
-
1880
803
- 1
- 1
- {0}
- 0.875
- Quadrangulated mesh (not all triangles are guaranteed to be converted).
- 19b5d10f-3cf8-473a-91cd-d9dccebd1ee0
- Mesh
- M
- false
- 0
-
1917
753
20
30
-
1927
768
- Number of triangles that were quadrangulated
- 40bdbcf4-cfd2-4f22-81af-5f14783e1516
- Count
- N
- false
- 0
-
1917
783
20
30
-
1927
798
- eeafc956-268e-461d-8e73-ee05c6f72c01
- Stream Filter
- Filters a collection of input streams
- true
- ccdeca11-413c-4f7a-a536-f85ffbf78c06
- Stream Filter
- Filter
-
1581
731
77
64
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763
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- 2e3ab970-8545-46bb-836c-1c11e5610bce
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- Index of Gate stream
- d40ceee4-3867-47bb-acce-8ba1cef48301
- Gate
- G
- false
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- 1
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1583
733
15
20
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1592
743
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- {0}
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- Input stream at index 0
- 2e95fb37-b60d-4b5d-8765-106ae008577b
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- Stream 0
- 0
- true
- 30635171-23d8-484f-a39f-0220f1e2950f
- 1
-
1583
753
15
20
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1592
763
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- Input stream at index 1
- fe180da6-2d84-4dca-ad30-1e6da1c38ed7
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- Stream 1
- 1
- true
- 30635171-23d8-484f-a39f-0220f1e2950f
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- 3
-
1583
773
15
20
-
1592
783
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- Filtered stream
- 060958be-a006-4e0a-ab9c-5b4729dabe3b
- false
- Stream
- S(1)
- false
- 0
-
1628
733
28
60
-
1642
763
- 2e78987b-9dfb-42a2-8b76-3923ac8bd91a
- Boolean Toggle
- Boolean (true/false) toggle
- 65d1b8d1-3a56-4759-ae4f-281804bf6b86
- Boolean Toggle
- 3D Text?
- false
- 0
- true
-
176
232
112
22
- cb95db89-6165-43b6-9c41-5702bc5bf137
- Boolean
- Contains a collection of boolean values
- 822a03b2-5b82-48d9-88b6-f752b095a1d2
- Boolean
- 3D Text?
- false
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- 1
-
306
232
50
24
-
331.7776
244.6178
- 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
-
1150
706
55
20
-
1177.503
716.1942
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- Mesh UnifyNormals
- Attempts to fix inconsistencies in the directions of meshfaces for a mesh
- true
- 41bb8487-b05b-499d-b62d-77c2c47fc095
- Mesh UnifyNormals
- UnifyNormals
-
1781
749
71
28
-
1815
763
- The open or closed mesh
- true
- 3c3d7ae0-b239-4b1b-9f91-4bb80ec48e67
- Mesh
- M
- false
- 4f4fc76d-573c-469c-a9ae-21269228c001
- 1
-
1783
751
17
24
-
1793
763
- The constructed mesh
- 1f4ae84b-c324-4d58-a916-f85a4bc9314e
- Mesh
- M
- false
- 0
-
1830
751
20
24
-
1840
763
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