-
0
2
2
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0
9
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150;150;0;0
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150;0;150;0
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-123
-3
- 1
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- 0
- 13
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- Range
- Create a range of numbers.
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- Range
- Range
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307
80
66
55
-
339
108
- Domain of numeric range
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- Domain
- D
- false
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- 1
-
309
82
15
25
-
318
94.75
- 1
- 1
- {0}
-
0
10
- Number of steps
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- Steps
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- 1
-
309
107
15
26
-
318
120.25
- 1
- 1
- {0}
- 10
- 1
- Range of numbers
- 71401cdc-b092-4c3e-9c89-79f11de845ae
- Range
- R
- false
- 0
-
354
82
17
51
-
362.5
107.5
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- Number Slider
- Numeric slider for single values
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- Number Slider
- Num Pts on Crv
- false
- 0
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99
209
20
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31.9299
99.2841
- 4
- 1
- 1
- 2000
- 1
- 0
- 2000
- 0b7d1129-7b88-4322-aad3-56fd1036a8f6
- F1
- A function of a single variable; {x}.
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- F1
- F(x)
-
495
114
60
44
-
524
136
- Expression to solve
- cos(t) * (e ^ cos(t) - 2 * cos(4 * t) - sin(t / 12) ^ 5)
- 3f047b7d-a6f3-4f38-a75c-8b67ca93ed80
- Function
- F
- false
- 0
-
497
116
12
20
-
504.5
126
- Variable #1
- 83045b07-9433-483a-b6cc-e264a742b59f
- x
- t
- true
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- 1
-
497
136
12
20
-
504.5
146
- Expression result
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- Result
- r
- false
- 0
-
539
116
14
40
-
546
136
- dde71aef-d6ed-40a6-af98-6b0673983c82
- Curve
- Create a nurbs curve from control points.
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- Curve
- Crv
-
740
220
67
64
-
772
252
- 1
- Curve control points
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- Vertices
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- 1
-
742
222
15
20
-
751
232
- Curve degree
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- Degree
- D
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- 5774c73d-d181-400e-9793-ab359d5f9ede
- 1
-
742
242
15
20
-
751
252
- 1
- 1
- {0}
- 1
- Periodic curve
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- Periodic
- P
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- 0
-
742
262
15
20
-
751
272
- 1
- 1
- {0}
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- Resulting nurbs curve
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- Curve
- C
- false
- 0
-
787
222
18
20
-
796
232
- Curve length
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- Length
- L
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-
787
242
18
20
-
796
252
- Curve domain
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- Domain
- D
- false
- 0
-
787
262
18
20
-
796
272
- 57da07bd-ecab-415d-9d86-af36d7073abc
- Number Slider
- Numeric slider for single values
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- Number Slider
- Crv Length
- false
- 0
-
94
62
185
20
-
94.24019
62.82362
- 4
- 1
- 0
- 200
- 0.1
- 0
- 104.5823
- 8a5aae11-8775-4ee5-b4fc-db3a1bd89c2f
- Point XYZ
- Create a point from {xyz} coordinates.
- true
- 55dcd681-3f9d-4efd-a445-6d22bb97541e
- Point XYZ
- Pt
-
641
149
68
84
-
672
191
- {x} component
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- X component
- X
- false
- 38452013-39a9-45f6-a496-1717fbf14a3d
- 1
-
643
151
14
20
-
651.5
161
- 1
- 1
- {0}
- 0
- {y} component
- 47ec2464-5d3d-40de-a0e5-249aa8d312f4
- Y component
- Y
- false
- 047bbe27-dbc4-4116-b6a3-8b99d726da17
- 1
-
643
171
14
20
-
651.5
181
- 1
- 1
- {0}
- 0
- {z} component
- 41872ac5-683d-4466-8699-da1410ef01f9
- Z component
- Z
- false
- a87d95b9-a554-4530-b4da-40695f47f9a8
- 1
-
643
191
14
20
-
651.5
201
- 1
- 1
- {0}
- 0
- Coordinate system for point
- true
- ecd8c609-a9bb-445b-b83d-07a53ed4195e
- System
- S
- false
- 0
-
643
211
14
20
-
651.5
221
- 1
- 1
- {0}
-
0
0
0
1
0
0
0
1
0
- Point coordinate
- 9c55407c-8a9b-40f0-b06e-7784ba44d313
- Point
- Pt
- false
- 0
-
687
151
20
80
-
697
191
- 0b7d1129-7b88-4322-aad3-56fd1036a8f6
- F1
- A function of a single variable; {x}.
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- F1
- F(x)
-
489
239
60
44
-
518
261
- Expression to solve
- abs(x)
- be749f9d-8200-40d1-80c4-9611d9548469
- Function
- F
- false
- 0
-
491
241
12
20
-
498.5
251
- Variable #1
- d0370b7f-12a3-4bb2-a5a0-3f1734478d01
- x
- x
- true
- 38452013-39a9-45f6-a496-1717fbf14a3d
- 1
-
491
261
12
20
-
498.5
271
- Expression result
- e12978f4-8311-49b8-b255-883a6d28a28c
- Result
- r
- false
- 0
-
533
241
14
40
-
540
261
- 00ec9ecd-4e1d-45ba-a8fc-dff716dbd9e4
- F2
- A function of two variables; {x,y}
- a093db18-01cc-443e-922e-c6d5569b773f
- F2
- F(x,y)
-
491
307
60
64
-
520
339
- Expression to solve
- abs(x*s)
- 83df5711-7cf3-41a0-ae7b-ddfb4dea76e1
- Function
- F
- false
- 0
-
493
309
12
20
-
500.5
319
- Variable #1
- b686529e-06da-4eea-886e-a5ee869ba08d
- x
- x
- true
- 38452013-39a9-45f6-a496-1717fbf14a3d
- 1
-
493
329
12
20
-
500.5
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- Variable #2
- fa144eda-d18a-48ef-830f-80d1f7d03faf
- y
- s
- true
- 6c10b9d5-99a6-4ab0-9eb4-444ccfb66692
- 1
-
493
349
12
20
-
500.5
359
- Expression result
- a87d95b9-a554-4530-b4da-40695f47f9a8
- Result
- r
- false
- 0
-
535
309
14
60
-
542
339
- 57da07bd-ecab-415d-9d86-af36d7073abc
- Number Slider
- Numeric slider for single values
- 6c10b9d5-99a6-4ab0-9eb4-444ccfb66692
- Number Slider
- Fly!
- false
- 0
-
88
727
160
20
-
88.91289
727.7571
- 3
- 1
- 0
- 1
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- 0
- 0.721
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
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- Panel
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- 1
- 71401cdc-b092-4c3e-9c89-79f11de845ae
- 1
- Double click to edit panel content…
-
453
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234
83
- 0
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-
453.2673
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-
255;255;250;90
- true
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- true
- 59e0b89a-e487-49f8-bab8-b5bab16be14c
- Panel
- A panel for custom notes and text values
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- Panel
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- 0
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658
242
71
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658.0554
242.9667
-
255;255;250;90
- true
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- true
- cc2b626f-6eff-4d08-9829-2877560693f4
- Evaluate
- Evaluate an expression with a flexible number of variables.
- c9f9ce4c-553c-4923-9bb4-c4808add438b
- Evaluate
- Eval
-
489
26
60
44
-
518
48
- true
- 2
- bc6c097c-6cc2-479c-b5aa-af99fbb72b88
- ba80fd98-91a1-4958-b6a7-a94e40e52bdb
- 1
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- Expression to evaluate
- (sin(t) * (e ^ cos(t) - 2 * cos(4 * t) - sin(t / 12) ^ 5) )
- eb5c1ad0-34ff-4acb-add1-41eb994e5f4b
- Expression
- F
- false
- 0
-
491
28
12
20
-
498.5
38
- true
- Expression variable
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- Variable t
- t
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- 71401cdc-b092-4c3e-9c89-79f11de845ae
- 1
-
491
48
12
20
-
498.5
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- true
- Expression result
- 38452013-39a9-45f6-a496-1717fbf14a3d
- Result
- r
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- 0
-
533
28
14
40
-
540
48
- true
- cc2b626f-6eff-4d08-9829-2877560693f4
- Evaluate
- Evaluate an expression with a flexible number of variables.
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- Evaluate
- Eval
-
314
-29
60
64
-
343
3
- 3
- bc6c097c-6cc2-479c-b5aa-af99fbb72b88
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- 1
- 8ec86459-bf01-4409-baee-174d0d2b13d0
- Expression to evaluate
- e
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- Expression
- F
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- 0
-
316
-27
12
20
-
323.5
-17
- Expression variable
- 8e60d1c0-a999-40ce-8eeb-664c0d4308bf
- Variable x
- x
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- 0
-
316
-7
12
20
-
323.5
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- Expression variable
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- Variable y
- y
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- 0
-
316
13
12
20
-
323.5
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- Expression result
- ca79c632-8b04-42db-a56f-5a8b85b39d82
- Result
- r
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- 0
-
358
-27
14
60
-
365
3
-
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