diff --git a/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀⠀⠀⠀.GHX b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀⠀⠀⠀.GHX
index a6301577..fdb6ad6b 100644
--- a/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀⠀⠀⠀.GHX
+++ b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀⠀⠀⠀.GHX
@@ -48,10 +48,10 @@
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176
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44
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166
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37
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37
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- Step
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+ - ff0daf69-230f-4e05-8c98-bf9c091a451d
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- Count
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- Data
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- Number
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65
64
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20
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20
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20
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17
20
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@@ -886,6 +886,8 @@
- Represents a numeric mapping function
+Sine wave distribution
+Sine wave distribution
Sine wave distribution
- 12324cf9-85ea-4ccf-8d27-ca279182d95e
- Graph Mapper
@@ -898,14 +900,14 @@ Sine wave distribution
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- 531
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100
100
-
- 531.7399
- 194.8842
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@@ -917,7 +919,7 @@ Sine wave distribution
- 0
- - 0.0625
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@@ -931,7 +933,7 @@ Sine wave distribution
- 0
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+ - 0.880133867263794
- 0
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@@ -945,141 +947,6 @@ Sine wave distribution
-
- - 57da07bd-ecab-415d-9d86-af36d7073abc
- - Number Slider
-
-
-
-
- - Numeric slider for single values
- - 3ed422ef-592e-4146-bc60-bd3416d61dbd
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- - b98b460b-b34c-4630-a9e6-46b9f7e61199
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- - 57da07bd-ecab-415d-9d86-af36d7073abc
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- - e74e53ff-b630-4451-9456-73dd0e08e175
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-
- 9df5e896-552d-4c8c-b9ca-4fc147ffa022
- Expression
@@ -1097,14 +964,14 @@ Sine wave distribution
-
- 422
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1010
84
-
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@@ -1123,7 +990,7 @@ Sine wave distribution
- Expression variable
- 6f4478b4-8c39-4912-b676-863469bfc82c
- - Variable u
+ - Variable X
- X
- true
- 4a521433-15f9-4232-bbd6-a4193c7aaecc
@@ -1133,14 +1000,14 @@ Sine wave distribution
-
- 424
- 334
+ 349
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188
20
-
- 519.5
- 344
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@@ -1153,21 +1020,21 @@ Sine wave distribution
- Variable O_EZIS_O_SIZE_O
- O_EZIS_O_SIZE_O
- true
- - 85dbb32d-f196-4d16-97b1-99cd389fad94
+ - ecdc8107-f664-40c6-8a7c-3ba81b6844d6
- 1
-
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188
20
-
- 519.5
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@@ -1187,14 +1054,14 @@ Sine wave distribution
-
- 424
- 374
+ 349
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188
20
-
- 519.5
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@@ -1214,14 +1081,14 @@ Sine wave distribution
-
- 424
- 394
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188
20
-
- 519.5
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@@ -1240,14 +1107,14 @@ Sine wave distribution
-
- 1414
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16
80
-
- 1422
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@@ -1259,7 +1126,7 @@ Sine wave distribution
-
+
- eeafc956-268e-461d-8e73-ee05c6f72c01
- Stream Filter
@@ -1276,27 +1143,29 @@ Sine wave distribution
-
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-
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-
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- 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
-
+
- Index of Gate stream
@@ -1304,21 +1173,21 @@ Sine wave distribution
- Gate
- Gate
- false
- - 157984a7-9801-4f81-8fee-03a54f140df5
+ - b20871fa-e78c-47ec-a58d-208c8959ba69
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20
-
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@@ -1351,23 +1220,23 @@ Sine wave distribution
- 883bcf08-8a23-46f2-949b-114847055ec4
- false
- Stream 0
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+ - 0
- true
- - 12324cf9-85ea-4ccf-8d27-ca279182d95e
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20
-
- 920
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@@ -1380,7 +1249,36 @@ Sine wave distribution
- da7a30e8-0b2e-44d7-b1f2-d66b32e249dd
- false
- Stream 1
- - Stream 1
+ - 1
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+ - 12324cf9-85ea-4ccf-8d27-ca279182d95e
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+
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+ - 2
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+ - false
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- true
- 660e66b2-db6b-4f9a-8b80-838ce371dd29
- 1
@@ -1389,14 +1287,43 @@ Sine wave distribution
-
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20
-
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+
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@@ -1409,7 +1336,7 @@ Sine wave distribution
- 34b6e5a6-a1ba-4214-b996-0fa3a932cd38
- false
- Stream
- - S(0)
+ - S(1)
- false
- 0
@@ -1417,14 +1344,14 @@ Sine wave distribution
-
- 973
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30
- 60
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-
- 988
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@@ -1436,97 +1363,7 @@ Sine wave distribution
-
-
- - 57da07bd-ecab-415d-9d86-af36d7073abc
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-
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- - 157984a7-9801-4f81-8fee-03a54f140df5
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+
- 33bcf975-a0b2-4b54-99fd-585c893b9e88
- Digit Scroller
@@ -1554,14 +1391,14 @@ Sine wave distribution
-
- 59
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250
20
-
- 59.10295
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@@ -1569,7 +1406,7 @@ Sine wave distribution
-
+
- 33bcf975-a0b2-4b54-99fd-585c893b9e88
- Digit Scroller
@@ -1597,14 +1434,14 @@ Sine wave distribution
-
- 77
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250
20
-
- 77.16033
- 415.3006
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@@ -1612,7 +1449,7 @@ Sine wave distribution
-
+
- 7376fe41-74ec-497e-b367-1ffe5072608b
- Curvature Graph
@@ -1629,14 +1466,14 @@ Sine wave distribution
-
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71
64
-
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@@ -1655,14 +1492,14 @@ Sine wave distribution
-
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40
20
-
- 441.5
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@@ -1675,21 +1512,21 @@ Sine wave distribution
- Density
- Density
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- - 2ed8c8dd-941d-4a82-94b4-f7caa47c54dc
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40
20
-
- 441.5
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@@ -1722,21 +1559,21 @@ Sine wave distribution
- Scale
- Scale
- false
- - 2c06d309-f709-40d2-8d29-6efcd7715943
+ - 83a16af3-1073-4b04-bad1-a89ab18700fb
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40
20
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+ - Graph Mapper
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- - Numeric slider for single values
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- - Number Slider
- - Number Slider
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+ - Represents a numeric mapping function
+Sine wave distribution
+Sine wave distribution
+Linear distribution
+Linear distribution
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+ - Curvature
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+ - Evaluate the curvature of a curve at a specified parameter.
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+ - Retrieve the base plane, radius and angle domain of an arc.
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+ - A panel for custom notes and text values
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@@ -1813,43 +2267,256 @@ Sine wave distribution
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- - Number Slider
+ - 33bcf975-a0b2-4b54-99fd-585c893b9e88
+ - Digit Scroller
- - Numeric slider for single values
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@@ -1863,7 +2530,7 @@ Sine wave distribution
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
diff --git a/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀옷ߦᗩᴥᕤᕦ⠀◯⠀ᗝᗱᗴߦᗩᙏ⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀ᙏᗩߦᗱᗴᗝ⠀◯⠀ᕤᕦᴥᗩߦ옷⠀◯⠀⠀⠀⠀.GHX b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀옷ߦᗩᴥᕤᕦ⠀◯⠀ᗝᗱᗴߦᗩᙏ⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀ᙏᗩߦᗱᗴᗝ⠀◯⠀ᕤᕦᴥᗩߦ옷⠀◯⠀⠀⠀⠀.GHX
new file mode 100644
index 00000000..7489ee86
--- /dev/null
+++ b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG.⠀⠀⠀⠀◯⠀옷ߦᗩᴥᕤᕦ⠀◯⠀ᗝᗱᗴߦᗩᙏ⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀ᙏᗩߦᗱᗴᗝ⠀◯⠀ᕤᕦᴥᗩߦ옷⠀◯⠀⠀⠀⠀.GHX
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+ - Shaded
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+ 127;201;201;201
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+ -
+ 127;176;176;176
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+ - 633740217794324378
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+ - XHG.⠀⠀⠀⠀◯⠀옷ߦᗩᴥᕤᕦ⠀◯⠀ᗝᗱᗴߦᗩᙏ⠀◯⠀ᗱᗴᙁ✤ᴥᑎ✤⠀◯⠀ᗱᗴᴥᑎ✤ᗩᗯᴥᑎᑐᑕ⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀ᑐᑕᑎᴥᗯᗩ✤ᑎᴥᗱᗴ⠀◯⠀✤ᑎᴥ✤ᙁᗱᗴ⠀◯⠀ᙏᗩߦᗱᗴᗝ⠀◯⠀ᕤᕦᴥᗩߦ옷⠀◯⠀⠀⠀⠀.GHX
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+ - 0
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+ - 2
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+ - 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
+
+
+
+
+ - CurvePlus, Version=1.2.0.0, Culture=neutral, PublicKeyToken=null
+ - 1.2.0.0
+ - David Mans
+ - ab81fea9-8d16-4caf-af89-2736c660f36d
+ - CurvePlus
+ - 1.2.0.0
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+ - 48
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+ - fb6aba99-fead-4e42-b5d8-c6de5ff90ea6
+ - DotNET VB Script (LEGACY)
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+ - A VB.NET scriptable component
+ - f8463a6a-537d-44ae-a102-2cbf6773c33a
+ - DotNET VB Script (LEGACY)
+ - Turtle
+ - 0
+ - Dim i As Integer
+ Dim dir As New On3dVector(1, 0, 0)
+ Dim pos As New On3dVector(0, 0, 0)
+ Dim axis As New On3dVector(0, 0, 1)
+ Dim pnts As New List(Of On3dVector)
+
+ pnts.Add(pos)
+
+ For i = 0 To Forward.Count() - 1
+ Dim P As New On3dVector
+ dir.Rotate(Left(i), axis)
+ P = dir * Forward(i) + pnts(i)
+ pnts.Add(P)
+ Next
+
+ Points = pnts
+
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+ - Script Variable Left
+ - 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
+ - 84fa917c-1ed8-4db3-8be1-7bdc4a6495a2
+ - true
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+ - Forward
+ - Left
+ - true
+ - true
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+ - 2
+ - Print, Reflect and Error streams
+ - Output parameter Points
+ - 3ede854e-c753-40eb-84cb-b48008f14fd4
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
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+ - Script Variable Forward
+ - ce1f978e-a982-441e-8781-42beeed9349f
+ - Forward
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+ - 1
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+ - 1
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+ - 57e2c9a0-b37d-4c4b-9e2b-b0e17a521d43
+ - Left
+ - Left
+ - true
+ - 1
+ - true
+ - 34b6e5a6-a1ba-4214-b996-0fa3a932cd38
+ - 1
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+ - Output parameter Points
+ - a7101779-445c-4899-9b31-ce0a4803f08d
+ - Points
+ - Points
+ - false
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+ - e64c5fb1-845c-4ab1-8911-5f338516ba67
+ - Series
+
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+
+
+ - Create a series of numbers.
+ - 3091dae8-d5dc-4fac-a891-c5a5c7118bd1
+ - Series
+ - Series
+
+
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+ -
+ 356
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+ 64
+ 64
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+ -
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+
+
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+
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+ - First number in the series
+ - bfe8e6e2-eddc-4584-8ce4-005a112f16fc
+ - Start
+ - S
+ - false
+ - 0
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+ - 1
+ - {0}
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+ - 0
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+
+
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+ - Step size for each successive number
+ - 3ef6124c-d6dc-426b-a979-0ad9d65d59da
+ - Step
+ - N
+ - false
+ - ff0daf69-230f-4e05-8c98-bf9c091a451d
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+ - Number of values in the series
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+ - Create an interpolated curve through a set of points.
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+ - Digit Scroller
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+ - 7376fe41-74ec-497e-b367-1ffe5072608b
+ - Curvature Graph
+
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+ - Draws Rhino Curvature Graphs.
+ - 5cbda035-78a6-49e1-bc63-6d8b78998d5b
+ - Curvature Graph
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+ - bc984576-7aa6-491f-a91d-e444c33675a7
+ - Graph Mapper
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+Sine wave distribution
+Sine wave distribution
+Linear distribution
+Linear distribution
+ - 476fd755-34c1-41fd-94b7-5d27abb8249b
+ - Graph Mapper
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+ - 9df5e896-552d-4c8c-b9ca-4fc147ffa022
+ - Expression
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+ - Evaluate an expression
+ - asin((x-.5)*2)/(2*atan(1))/2+.5
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+
+
+
+
+
+
+ - 1
+ - True for input values on the X Axis which intersect a graph curve
+False for input values on the X Axis which do not intersect a graph curve
+ - b332d9f5-5ec6-47d7-a2f2-f27c835511c1
+ - Intersected
+ - Intersected
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+
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+ - 5edaea74-32cb-4586-bd72-66694eb73160
+ - Rotate Direction
+
+
+
+
+ - Rotate an object from one direction to another.
+ - f2c8bf1b-434d-40d9-b17f-dde7b0954fdc
+ - Rotate Direction
+ - Rotate Direction
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+
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+ - Base geometry
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+ - Geometry
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+ - Rotation center point
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+ - Initial direction
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+ - Final direction
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+ - Rotated geometry
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+ - Evaluates a curve at a specific location
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+ - Bounding Rectangle
+
+
+
+
+ - Solve oriented geometry bounding rectangle
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+ - 8073a420-6bec-49e3-9b18-367f6fd76ac3
+ - Join Curves
+
+
+
+
+ - Join as many curves as possible
+ - a5e9aa2e-5826-4032-bd58-99b201fb8f42
+ - Join Curves
+ - Join Curves
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+
+
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+
+
+ - Preserve direction of input curves
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+ - Preserve
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+
+
+
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+ - 1
+ - Joined curves and individual curves that could not be joined.
+ - 3733e2e8-4bd3-44f1-8b68-31f8853c8921
+ - Curves
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+
+
+
+
+
+
+ - 2b69bf71-4e69-43aa-b7be-4f6ce7e45bef
+ - Quick Graph
+
+
+
+
+ - 1
+ - Display a set of y-values as a graph
+ - 23de244f-bf52-43f7-802d-5ec15eb4453f
+ - Quick Graph
+ - Quick Graph
+ - false
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+
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+ - 59e0b89a-e487-49f8-bab8-b5bab16be14c
+ - Panel
+
+
+
+
+ - A panel for custom notes and text values
+ - 0c500c4b-1420-4ebb-99a0-41e3849d151a
+ - Panel
+ - Panel
+ - false
+ - 1
+ - 805f2edb-cc3f-4a58-b59f-743b168199fd
+ - 1
+ - Double click to edit panel content…
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+ - true
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+
+
+
+
+
+
+
+ - fb6aba99-fead-4e42-b5d8-c6de5ff90ea6
+ - DotNET VB Script (LEGACY)
+
+
+
+
+ - A VB.NET scriptable component
+ - ed8c365e-1c52-4bc0-86ec-29ba5d9b1caa
+ - DotNET VB Script (LEGACY)
+ - Turtle
+ - 0
+ - Dim i As Integer
+ Dim dir As New On3dVector(1, 0, 0)
+ Dim pos As New On3dVector(0, 0, 0)
+ Dim axis As New On3dVector(0, 0, 1)
+ Dim pnts As New List(Of On3dVector)
+
+ pnts.Add(pos)
+
+ For i = 0 To Forward.Count() - 1
+ Dim P As New On3dVector
+ dir.Rotate(Left(i), axis)
+ P = dir * Forward(i) + pnts(i)
+ pnts.Add(P)
+ Next
+
+ Points = pnts
+
+
+
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+ -
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+ - true
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+
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+ - 2
+ - Print, Reflect and Error streams
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - true
+ - true
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+
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+ - 1
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+ - Forward
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+ - 1
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+ - Left
+ - Left
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+ - 1
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+
+
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+ -471
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+
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+ - Print, Reflect and Error streams
+ - ee27267c-1c16-45b9-8af6-4b14fad70ab5
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+
+
+
+
+
+
+ - Output parameter Points
+ - 3c226f4c-dbc1-4ed0-85b3-d312596e2e17
+ - Points
+ - Points
+ - false
+ - 0
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+
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+
+
+
+
+ - e64c5fb1-845c-4ab1-8911-5f338516ba67
+ - Series
+
+
+
+
+ - Create a series of numbers.
+ - a481ac28-d9d7-4e6a-870a-188d20517392
+ - Series
+ - Series
+
+
+
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+ -
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+ -
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+
+
+
+
+
+ - First number in the series
+ - 2db415e6-4717-4b58-a15d-0edd4790e563
+ - Start
+ - S
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+
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+ -410
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+ - 1
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+
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+
+
+ - 0
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+
+
+
+
+
+
+ - Step size for each successive number
+ - c57564c4-07ee-4f14-9720-43cbfa16783e
+ - Step
+ - N
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+ - 1
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+ - Number of values in the series
+ - d8b0013f-6e9f-416d-ade9-3ec261500c59
+ - Count
+ - C
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+ - 500
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+ - 1
+ - Series of numbers
+ - 102b1139-a452-4fbb-bfd8-adb85f89960b
+ - Series
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+
+
+
+
+
+
+
+
+
+
+ - dd8134c0-109b-4012-92be-51d843edfff7
+ - Duplicate Data
+
+
+
+
+ - Duplicate data a predefined number of times.
+ - 366fcabf-44d4-4602-80e7-59d2c464cab8
+ - Duplicate Data
+ - Dup
+
+
+
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+
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+ - Number of duplicates
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+ - Number
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+ - 500
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+
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+ - Retain list order
+ - f110e97f-6307-4816-9059-6b7448686d97
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+ - true
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+ - 1
+ - Duplicated data
+ - 32d56380-25c9-4a6a-ab1e-4680580d80d4
+ - Data
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+
+
+
+
+ - f5ea9d41-f062-487e-8dbf-7666ca53fbcd
+ - Interpolate
+
+
+
+
+ - Create an interpolated curve through a set of points.
+ - 83435610-396b-45c8-ac61-afe214859efc
+ - Interpolate
+ - IntCrv
+
+
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+ - 1
+ - Interpolation points
+ - b005b9bb-1f1f-46a4-96d7-539c901886a2
+ - Vertices
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+ - Curve degree
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+ - Periodic curve
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+ - Resulting nurbs curve
+ - 38cf4e17-ca6a-4dad-8a9a-b880812ed23a
+ - Curve
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+ - Curve length
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+ - Curve domain
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+ - bc984576-7aa6-491f-a91d-e444c33675a7
+ - Graph Mapper
+
+
+
+
+ - Represents a numeric mapping function
+Sine wave distribution
+Sine wave distribution
+Linear distribution
+Linear distribution
+Linear distribution
+Linear distribution
+ - db82b695-c28d-498a-8d90-3227c158ad9a
+ - Graph Mapper
+ - Graph
+ - false
+ - 102b1139-a452-4fbb-bfd8-adb85f89960b
+ - 1
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