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0
2
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11
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- Point
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- 2
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- 0
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449
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69
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10
0
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-
10
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-
10
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- Point
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- 0
-
449
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69
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0
10
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-
0
10
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-
0
10
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291
140
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- Create a line between two points.
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- Line start point
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14
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686
80
14
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694.5
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- Line
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- 0
-
730
60
16
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-
738
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- Line
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- Line
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64
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14
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- Line end point
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686
164
14
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- Line
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- 0
-
730
144
16
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-
738
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- Line
- Create a line between two points.
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- Line
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684
227
64
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715
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- Line start point
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- Point A
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- 0026fb92-902c-44b7-9429-b8523ad8168c
- 1
-
686
229
14
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- Line end point
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- Point B
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- 1
-
686
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14
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- Line segment
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- Line
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- 0
-
730
229
16
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-
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- Line
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- Line
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864
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64
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- Line start point
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- Point A
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-
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100
14
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874.5
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- Line end point
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- Point B
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- 1
-
866
120
14
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874.5
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- Line segment
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- Line
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- 0
-
910
100
16
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-
918
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- Line
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- Line
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- Line start point
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- Point A
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- Line end point
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- 1
-
870
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14
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878.5
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- Line segment
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- Line
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- 0
-
914
187
16
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-
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- Line
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- Line
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1054
151
64
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- Line start point
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- Point A
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14
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- Line end point
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1056
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- Line segment
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- Line
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-
1100
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16
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- Knot Vector
- Create a nurbs curve knot vector.
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- Knot Vector
- Knots
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573
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66
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605
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- Control point count.
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- Count
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- 0
-
575
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15
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584
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- Curve Degree.
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- Degree
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- 0
-
575
423
15
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584
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- 1
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- Curve periodicity
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- 0
-
575
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15
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584
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- Nurbs Knot Vector.
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620
403
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656
376
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- Curve control points
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- Points
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-
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378
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- Optional Curve control weights
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- Weights
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- 0
-
658
400
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- Nurbs curve knot vector
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- Domain
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705
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812
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814
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- Sub-domain to extract
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814
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859
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624
473
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- Custom Preview
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- Preview
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388
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255;0;0;0
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255;255;105;180
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255;255;255;255
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- Create Material
- Create an OpenGL material.
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- Create Material
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812
444
20
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- Colour of the specular highlight
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812
464
20
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255;255;255;255
- Emissive colour of the material
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812
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20
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255;0;0;0
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- 0
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812
504
20
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- Amount of shinyness (0 = none, 1 = low shine, 100 = max shine
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812
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20
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- Resulting material
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- 0
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862
444
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100
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- Point
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196
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- The result of the Subtraction
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240
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- Subtraction
- Mathematical subtraction
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239
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14
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- The result of the Subtraction
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- Multiplication
- Mathematical multiplication
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14
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- The result of the Multiplication
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- Custom Preview
- Allows for customized geometry previews
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- Custom Preview
- Preview
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- Create Material
- Create an OpenGL material.
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- Create Material
- Material
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- Colour of the diffuse channel
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- Colour of the specular highlight
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- Emissive colour of the material
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- Amount of transparency (0.0 = opaque, 1.0 = transparent
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- Amount of shinyness (0 = none, 1 = low shine, 100 = max shine
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- Resulting material
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Evaluate Curve
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- Curve to evaluate
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- Parameter on curve domain to evaluate
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- Point on the curve at {t}
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- Angle (in Radians) of incoming vs. outgoing curve at {t}
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Evaluate Curve
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- Parameter on curve domain to evaluate
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- Parameter
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- Point on the curve at {t}
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Evaluate Curve
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- Curve to evaluate
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- Point on the curve at {t}
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Evaluate Curve
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- Curve to evaluate
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- Parameter
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- Point on the curve at {t}
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Evaluate Curve
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- Curve to evaluate
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- Evaluate Curve
- Evaluate a curve at the specified parameter.
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- Point on the curve at {t}
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