diff --git a/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
/π‘ββπκ
βΈπ‘βπβ’πβπ‘βΈκ
πββπ‘/π§·β⦻κ
β―βπ½β΅β⦻ββ΅π½ββ―κ
⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX b/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
/π‘ββπκ
βΈπ‘βπβ’πβπ‘βΈκ
πββπ‘/π§·β⦻κ
β―βπ½β΅β⦻ββ΅π½ββ―κ
⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX
new file mode 100644
index 00000000..0666761f
--- /dev/null
+++ b/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
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βΈπ‘βπβ’πβπ‘βΈκ
πββπ‘/π§·β⦻κ
β―βπ½β΅β⦻ββ΅π½ββ―κ
⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX
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+ - dabc854d-f50e-408a-b001-d043c7de151d
+ - Sphere
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+ - Create a spherical surface.
+ - true
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+ - Scale
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+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - 040714d7-34a3-41d3-ba01-1978a7afa89c
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+ - 4c4e56eb-2f04-43f9-95a3-cc46a14f495a
+ - Line
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+
+
+
+ - Create a line between two points.
+ - true
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+ - Line start point
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+ - Line end point
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+ - true
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+ - Brep Centroid
+
+
+
+
+ - This component will output the average point from brep vertices.
+ - true
+ - 45917de3-883d-4b98-9268-6578bfb4f7b8
+ - true
+ - Brep Centroid
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+ - b44ad7b4-652b-436c-a9c4-4a5707f6f92d
+ - Brep Centroid
+
+
+
+
+ - This component will output the average point from brep vertices.
+ - true
+ - f8119580-4402-45b2-a705-9c5587fc0376
+ - true
+ - Brep Centroid
+ - Brep Centroid
+
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+ - true
+ - Brep
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+ - 53d86e62-56c6-45e9-8814-27dc36f8058b
+ - 1
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+ - Average point from brep vertices
+ - cf4c4f27-a0c9-48df-9fda-886d6f00b38c
+ - true
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+ - 2
+ - A wire relay object
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+ - true
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+ - c552a431-af5b-46a9-a8a4-0fcbc27ef596
+ - Group
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+ - 1
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+ 255;255;255;255
+
+ - A group of Grasshopper objects
+ - f8119580-4402-45b2-a705-9c5587fc0376
+ - 0d392204-2e46-426b-b5de-2efe0b1ab092
+ - b7f3a2b5-096f-4185-9611-cf55a23a6168
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+ - 6
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+ - Group
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+ - b44ad7b4-652b-436c-a9c4-4a5707f6f92d
+ - Brep Centroid
+
+
+
+
+ - This component will output the average point from brep vertices.
+ - true
+ - 1741d857-69bc-4384-a7f4-fed4ec0e5b8e
+ - true
+ - Brep Centroid
+ - Brep Centroid
+
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+
+
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+ - true
+ - Brep
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+ - 1
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+
+
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+ - Average point from brep vertices
+ - 70ccb24d-114d-40c8-a62f-b3b5f7bc3b4f
+ - true
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
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+ - 2
+ - A wire relay object
+ - fdd6de91-4073-4175-ad83-854a7bd9fb97
+ - true
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+
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+
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+ - c552a431-af5b-46a9-a8a4-0fcbc27ef596
+ - Group
+
+
+
+
+ - 1
+ -
+ 255;255;255;255
+
+ - A group of Grasshopper objects
+ - 1741d857-69bc-4384-a7f4-fed4ec0e5b8e
+ - 0d392204-2e46-426b-b5de-2efe0b1ab092
+ - b7f3a2b5-096f-4185-9611-cf55a23a6168
+ - bd0d1db5-7ffd-4c01-b398-a2c6ae26a37e
+ - fdd6de91-4073-4175-ad83-854a7bd9fb97
+ - e7eb7c8b-fc62-4a91-96f2-88bcf45c77ef
+ - 6
+ - 886866d2-a205-4183-a2e3-74562eed5d75
+ - Group
+ - 1177d6ee-3993-4226-9558-52b7fd63e1e3
+ - Trim Tree
+
+
+
+
+ - Reduce the complexity of a tree by merging the outermost branches.
+ - true
+ - e7eb7c8b-fc62-4a91-96f2-88bcf45c77ef
+ - true
+ - Trim Tree
+ - Trim Tree
+
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+
+
+
+
+
+ - 2
+ - Data tree to flatten
+ - 86ef3d1f-0555-47a9-ada3-6ae4dc588a9c
+ - true
+ - Tree
+ - Tree
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+ - 70ccb24d-114d-40c8-a62f-b3b5f7bc3b4f
+ - 1
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+
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+
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+
+
+ - Number of outermost branches to merge
+ - 814ac5bf-d761-463c-82b4-da5d08485020
+ - true
+ - Depth
+ - Depth
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+
+ - 2
+ - Trimmed data tree
+ - 0b183f0b-c237-4851-bbd8-87eebca1f369
+ - true
+ - Tree
+ - Tree
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+
+
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+
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+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - ff068c19-29ef-4b97-a0bf-c16c84da2831
+ - true
+ - Relay
+ - false
+ - 03e7804d-d9de-4d7f-96e2-db4c4593b0d1
+ - 1
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+
+
+
+
+
+
+
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+ - 3c5edcba-b7a5-4710-b076-4b19a7080a2b
+ - 08bdcae0-d034-48dd-a145-24a9fcf3d3ff
+ - Center
+
+
+
+
+ - Returns the center of geometry and the Diameter of its bounding box as the Dimension. Right-click to choose options.
+[ForAll]: option to have the center point of a group of geometries.
+And for the position:
+[Spacial]: Spacial Domain Center.
+[Planar]: Projected the center on XY Plane.
+[Basement]: Center of the basement Plane
+ - true
+ - ea8ad7b7-d5d0-48cd-9903-8c07138bee30
+ - true
+ - Center
+ - Center
+
+
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+
+
+
+
+ - 1
+ - Geometry to get the space-domain center from
+ - c52caf6b-9f61-4e29-8d76-9d35c2040a0e
+ - true
+ - Geometry
+ - Geometry
+ - false
+ - ff068c19-29ef-4b97-a0bf-c16c84da2831
+ - 1
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+ - 1
+ - Center
+ - 12abf9a2-f5a2-433c-b79a-ee3b15eb326a
+ - true
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+ - 1
+ - Diagonal size of geometry's bounding box
+ - 8257e370-e876-48ab-9592-68b2517649dc
+ - true
+ - Dimension
+ - Dimension
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+
+
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+
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+ - 4c4e56eb-2f04-43f9-95a3-cc46a14f495a
+ - Line
+
+
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+ - Create a branching pipe around a network of lines/curves
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+ - 9fc6be07-64ad-4973-91f6-ffb40f9bb38e
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+
+
+
+
+
+
+
+ - The distance from the center to the mid edge of the polygon
+ - 33e07f47-e412-4fe3-91af-1c8dee63c646
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+ - The number of sides of the regular polygon. Must be more than 2
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+
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+ - Scale an object uniformly in all directions.
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+ - Recursive Transform
+
+
+
+
+ - Recursively transform geometry to get a self-referential step sequence of transformed geometry.
+ - true
+ - 6ada0363-7dbc-4117-b4f7-7a397770b9df
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+ - Geometry to recursively transform
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+ - true
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+
+
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+
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+ - Transformation that will be used to transform the geometry at each recursive step
+(X outputs of components that perform transformations like Move, Scale, Rotate, etc.)
+
+Use Pufferfish's Mass Transform component or Grasshopper's Compound component to combine multiple transformations into one transform to use in this input, so multiple transformations can affect the geometry.
+
+(*Be extra careful with transformations such as scaling as recursively scaling with many steps can quickly generate extremely large or small sized geometry, which may freeze Grasshopper)
+ - 2cc132dc-9fc2-4a83-a85f-bc5a9e86dce2
+ - true
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+ - Number of recursive transformation steps
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+ - true
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+ - 4
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+
+
+
+
+
+ - If True, only the last step of the recursive transform is calculated and output.
+If False, every step of the recursive transform is calculated and output.
+ - bd972497-3474-45a0-bc58-a11865f67fe7
+ - true
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+ - false
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+
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+ - 1
+ - Resulting recursively transformed geometry
+ - 8fe69b89-62b0-4a05-b630-40b5e61e5b03
+ - true
+ - Transformed
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+ - 1398f508-3c37-4fef-8384-a29dc771fd46
+ - ab81fea9-8d16-4caf-af89-2736c660f36d
+ - Circumscribed Polygon
+
+
+
+
+ - A regular circumscribed polygon
+ - true
+ - fcd7af0d-693c-4cf0-935b-7c317b1b232d
+ - Circumscribed Polygon
+ - Circumscribed Polygon
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+ - Polygon base plane
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+ - Plane
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+
+
+
+
+
+ - The distance from the center to the mid edge of the polygon
+ - ad181f05-bf7c-4cd9-8534-8fc9bdf96fab
+ - Radius
+ - Radius
+ - true
+ - dec15bf5-d5db-48aa-8917-c1e66b3064b4
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+ - The number of sides of the regular polygon. Must be more than 2
+ - bfd2c71c-3577-49c2-8b27-5576a9062cad
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+ - Regular polygon curve
+ - cdf76180-9ac2-4597-9aea-58c3f12e88c5
+ - Polygon
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+ - ccc7b468-e743-4049-891f-299432545898
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+
+
+
+
+ - Get the point in the middle of a curve
+ - true
+ - dd9c1641-eb00-456e-8572-71f91027ca1f
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+ - Point in the middle of the curve
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+ - afb96615-c59a-45c9-9cac-e27acb1c7ca0
+ - Explode
+
+
+
+
+ - Explode a curve into smaller segments.
+ - true
+ - 69221953-c83b-4544-bdd1-b582ace2f9fa
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+ - Recursive decomposition until all segments are atomic
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+ - 1
+ - Exploded segments that make up the base curve
+ - 1f8570c9-7461-469a-82db-b58f3106e6e9
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+ - 1
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+ - Vertices
+ - Vertices
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - 499a74fb-150c-404f-83df-37cde065a25d
+ - true
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+ - Scaling factor
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+ - 0.33333333333333331
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+ - Scaled geometry
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - b0a7bebe-10d6-4ea4-b4ab-f7664507e9c7
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+ - Base geometry
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+ - Geometry
+ - Geometry
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+ - Center of scaling
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+ - Scaling factor
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+ - Transformation data
+ - 3b2f4cba-9864-42fd-9438-2799770d3406
+ - true
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+ - 59c7ff9d-38ed-4420-9d1f-88d931594cfd
+ - 1c9de8a1-315f-4c56-af06-8f69fee80a7a
+ - Recursive Transform
+
+
+
+
+ - Recursively transform geometry to get a self-referential step sequence of transformed geometry.
+ - true
+ - d63cc818-e94e-4eb7-908c-59d784e36e3c
+ - true
+ - Recursive Transform
+ - Recursive Transform
+
+
+
+
+ -
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+
+
+
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+ - Geometry to recursively transform
+ - c7bad61e-0933-406e-8122-d294b125d4f8
+ - true
+ - Geometry
+ - Geometry
+ - false
+ - 19d1d75b-56cd-47c0-b195-56915639bf04
+ - 1
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+ -
+ 1725
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+ -
+ 1757.5
+ 10935
+
+
+
+
+
+
+
+ - Transformation that will be used to transform the geometry at each recursive step
+(X outputs of components that perform transformations like Move, Scale, Rotate, etc.)
+
+Use Pufferfish's Mass Transform component or Grasshopper's Compound component to combine multiple transformations into one transform to use in this input, so multiple transformations can affect the geometry.
+
+(*Be extra careful with transformations such as scaling as recursively scaling with many steps can quickly generate extremely large or small sized geometry, which may freeze Grasshopper)
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+If False, every step of the recursive transform is calculated and output.
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+ - Mirror a shape in a freeform curve.
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+ - Mirror tangent (if true, mirror behaviour extends beyond curve ends)
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+ - d51e9b65-aa4e-4fd6-976c-cef35d421d05
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+
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+ - Create planar surfaces from a collection of boundary edge curves.
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+
+
+
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+ - Scale an object uniformly in all directions.
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+ - Cull (remove) indexed elements from a list.
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+
+
+
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+ - Create planar surfaces from a collection of boundary edge curves.
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+ - Weaverbird's Split Triangles Subdivision
+
+
+
+
+ - Places several triangles into every face.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - cd4fe2f7-9626-49c8-8e41-ee81bea184e5
+ - Weaverbird's Split Triangles Subdivision
+ - Weaverbird's Split Triangles Subdivision
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+ - The number of subdividing iterations for each face
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+ - The mesh after the subdividing process
+ - d93ac415-e2b6-49d9-a5b6-76598a8aed03
+ - Output Mesh/Curves
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+ - 0b4ac802-fc4a-4201-9c66-0078b837c1eb
+ - Face Boundaries
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+
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+ - Convert all mesh faces to polylines
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+ - Subdivide Triangle
+
+
+
+
+ - Subdivides a triangle into self-similar cells.
+ - true
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+ - Subdivide Triangle
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+ - A closed triangular curve or surface to subdivide
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+ - Triangular Curve
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+ - When set to true, the component will return polylines (faster), when set to false, the component will return surfaces (slower)
+ - f1c3ec47-7a56-4edc-8a30-956b00df7709
+ - Wires
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+ - List of triangle cells.
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+ - Triangle Cells B
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+ - b7798b74-037e-4f0c-8ac7-dc1043d093e0
+ - Rotate
+
+
+
+
+ - Rotate an object in a plane.
+ - true
+ - f8c61a27-e5a4-4841-9d48-1503e7b92246
+ - Rotate
+ - Rotate
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+
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+ - Geometry
+ - Geometry
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+ - Rotation angle in degrees
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+ - Angle
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+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
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+
+
+
+
+ - 30
+
+
+
+
+
+
+
+
+
+
+ - Rotation plane
+ - de6d8e0a-3222-4692-8799-ca0c52b6a0e4
+ - Plane
+ - Plane
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+ - 0
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+
+
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+ -
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+
+
+
+
+ - 1
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+
+
+
+ - 1
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+
+
+
+ -
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+ 0
+ 1
+ 0
+ 0
+ 0
+ 1
+ 0
+
+
+
+
+
+
+
+
+
+
+
+ - Rotated geometry
+ - 2cc3fcc0-50be-4777-a90e-8366b8713843
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
+
+
+ -
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+ -
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+
+
+
+
+
+
+
+ - Transformation data
+ - a4ac0974-baef-4167-9428-da6a3596ac10
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
+
+
+ -
+ 2122
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+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 67cb7f83-9434-49ea-9c82-a978a271b62d
+ - Relay
+ - false
+ - 2cc3fcc0-50be-4777-a90e-8366b8713843
+ - 1
+
+
+
+
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+
+
+
+
+
+
+
+
+ - 3efefe13-1114-4638-521c-602969182936
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Sierpinski Triangles Subdivision
+
+
+
+
+ - Places a triangle in each corner of a mesh face. The mesh will have one more hole per face.
+
+Provided by Weaverbird 0.9.0.1.
+ - 0
+ - true
+ - b055554f-8cf6-432c-9f62-2010462b4957
+ - Weaverbird's Sierpinski Triangles Subdivision
+ - Weaverbird's Sierpinski Triangles Subdivision
+
+
+
+
+ -
+ 1440
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+ 206
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+
+ -
+ 1533
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+
+
+
+
+
+ - 1
+ - The open or closed mesh, or closed curves list, to subdivide
+ - e966a771-d9bd-4943-9485-a68b32d48cfe
+ - Mesh/Curves
+ - Mesh/Curves
+ - false
+ - e5ea8b9d-7f13-4857-8f61-19e42ba021de
+ - 1
+
+
+
+
+ -
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+ -
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+
+
+
+
+
+
+
+ - The number of subdividing iterations for each face
+ - 78e1e604-4f06-4031-9f31-1a13793d6d51
+ - Level
+ - Level
+ - true
+ - 0
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+
+
+
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+
+
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+
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+
+ - 1
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+
+
+
+ - 0
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+
+
+
+
+
+
+
+
+
+ - The mesh after the subdividing process
+ - 349f1af8-ede1-400a-913a-80d87de2cf73
+ - Output Mesh/Curves
+ - Output Mesh/Curves
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+ - 0
+
+
+
+
+ -
+ 1545
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+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - f90e3095-4f89-408f-9941-a72dcdf1a7f0
+ - Relay
+ - false
+ - 0018b36c-afec-43f0-a883-f9195d605933
+ - 1
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+ -
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+
+
+
+
+
+
+
+
+ - d51e9b65-aa4e-4fd6-976c-cef35d421d05
+ - Boundary Surfaces
+
+
+
+
+ - Create planar surfaces from a collection of boundary edge curves.
+ - true
+ - ded72eef-38e2-4a01-b7c6-469b45b8779c
+ - true
+ - Boundary Surfaces
+ - Boundary Surfaces
+
+
+
+
+ -
+ 1992
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+ - 1
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+ - true
+ - Edges
+ - Edges
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+ - f90e3095-4f89-408f-9941-a72dcdf1a7f0
+ - 1
+
+
+
+
+ -
+ 1994
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+ 31
+ 24
+
+ -
+ 2009.5
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+
+
+
+
+
+
+ - 1
+ - Resulting boundary surfaces
+ - 1635630b-ef35-408d-bd85-c95684a72f08
+ - true
+ - Surfaces
+ - Surfaces
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+ - 0
+
+
+
+
+ -
+ 2049
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+ -
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+ 11727
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+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 0dc8aaaa-abbf-4955-b0df-618388e98a99
+ - Relay
+ - false
+ - 5006e346-2d02-4efe-914d-b08e9f193f19
+ - 1
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+
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+
+
+
+
+
+
+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
+ - true
+ - 7a956ea0-ae97-4268-aee4-8ba6ab94f8ff
+ - Geometry
+ - Geometry
+ - false
+ - 5c2100ba-9c1d-4c16-b2b9-b28508726b39
+ - 1
+
+
+
+
+ -
+ 1685
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+ 50
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+
+ -
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+
+
+
+
+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 68b0501e-a88e-4016-86b3-66e666a19cf8
+ - Area
+ - Area
+
+
+
+
+ -
+ 1695
+ 11867
+ 118
+ 44
+
+ -
+ 1757
+ 11889
+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - 481a0410-5493-40f7-beb4-db83aff309d6
+ - Geometry
+ - Geometry
+ - false
+ - 6755e97e-a81c-4530-9688-302ddec10f96
+ - 1
+
+
+
+
+ -
+ 1697
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+ -
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+
+
+
+
+
+
+ - Area of geometry
+ - ab534d88-70ed-49b8-9589-3a7b1d2f0d61
+ - Area
+ - Area
+ - false
+ - 0
+
+
+
+
+ -
+ 1769
+ 11869
+ 42
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+
+ -
+ 1790
+ 11879
+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - adf85ed2-7d1c-4b23-aebd-73111fd450d7
+ - Centroid
+ - Centroid
+ - false
+ - 0
+
+
+
+
+ -
+ 1769
+ 11889
+ 42
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+ -
+ 1790
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+
+
+
+
+
+
+
+
+
+
+
+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - bd7e92d6-0024-4ec2-8f54-7d01864d0aa7
+ - Scale
+ - Scale
+
+
+
+
+ -
+ 1906
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+ 191
+ 64
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+ -
+ 2033
+ 12008
+
+
+
+
+
+ - Base geometry
+ - 7bbee9a2-fa59-401f-ab3e-11969a13214d
+ - Geometry
+ - Geometry
+ - true
+ - 6755e97e-a81c-4530-9688-302ddec10f96
+ - 1
+
+
+
+
+ -
+ 1908
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+ -
+ 1964.5
+ 11988
+
+
+
+
+
+
+
+ - Center of scaling
+ - 58a53d18-3b90-49ad-b0c6-625bb1386bf5
+ - Center
+ - Center
+ - false
+ - adf85ed2-7d1c-4b23-aebd-73111fd450d7
+ - 1
+
+
+
+
+ -
+ 1908
+ 11998
+ 113
+ 20
+
+ -
+ 1964.5
+ 12008
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
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+
+
+
+
+
+ -
+ 0
+ 0
+ 0
+
+
+
+
+
+
+
+
+
+
+
+ - Scaling factor
+ - 6df64484-8186-4adb-9200-7998d73b8125
+ - Factor
+ - Factor
+ - false
+ - 0
+
+
+
+
+ -
+ 1908
+ 12018
+ 113
+ 20
+
+ -
+ 1964.5
+ 12028
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 0.33333333333333331
+
+
+
+
+
+
+
+
+
+
+ - Scaled geometry
+ - 64fba90a-453c-41be-b302-525e7cb1f91d
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
+
+
+ -
+ 2045
+ 11978
+ 50
+ 30
+
+ -
+ 2070
+ 11993
+
+
+
+
+
+
+
+ - Transformation data
+ - 337597dc-e0e3-4116-92a4-ed892739d47c
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
+
+
+ -
+ 2045
+ 12008
+ 50
+ 30
+
+ -
+ 2070
+ 12023
+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 6755e97e-a81c-4530-9688-302ddec10f96
+ - Relay
+ - false
+ - 5c2100ba-9c1d-4c16-b2b9-b28508726b39
+ - 1
+
+
+
+
+ -
+ 1673
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+ 16
+
+ -
+ 1693
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+
+
+
+
+
+
+
+
+
+ - 3cadddef-1e2b-4c09-9390-0e8f78f7609f
+ - Merge
+
+
+
+
+ - Merge a bunch of data streams
+ - true
+ - cd0db85a-0e9f-4121-9c7d-89ac32bb10b9
+ - Merge
+ - Merge
+
+
+
+
+ -
+ 1750
+ 11606
+ 90
+ 64
+
+ -
+ 1795
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+
+
+
+
+
+ - 3
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - 2
+ - Data stream 1
+ - e8801965-e6d2-4ab4-a3a2-1d8350200089
+ - false
+ - Data 1
+ - D1
+ - true
+ - 7e14797b-bb8a-4c2a-aef4-02b1192d9c8a
+ - 1
+
+
+
+
+ -
+ 1752
+ 11608
+ 31
+ 20
+
+ -
+ 1767.5
+ 11618
+
+
+
+
+
+
+
+ - 2
+ - Data stream 2
+ - 85fde61b-bd47-4504-a291-d8a163bfd0c7
+ - false
+ - Data 2
+ - D2
+ - true
+ - 5c2100ba-9c1d-4c16-b2b9-b28508726b39
+ - 1
+
+
+
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+ -
+ 1752
+ 11628
+ 31
+ 20
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+ -
+ 1767.5
+ 11638
+
+
+
+
+
+
+
+ - 2
+ - Data stream 3
+ - cb162fea-516c-4f74-a5d7-72b827d5e200
+ - false
+ - Data 3
+ - D3
+ - true
+ - 0
+
+
+
+
+ -
+ 1752
+ 11648
+ 31
+ 20
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+ -
+ 1767.5
+ 11658
+
+
+
+
+
+
+
+ - 2
+ - Result of merge
+ - 723ff2ad-813e-42b5-960d-95d01a427a93
+ - Result
+ - Result
+ - false
+ - 0
+
+
+
+
+ -
+ 1807
+ 11608
+ 31
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+ 11638
+
+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - 1132106d-d5e6-4184-915a-87e0c25ab815
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
+ -
+ 315
+ 11800
+ 102
+ 64
+
+ -
+ 349
+ 11832
+
+
+
+
+
+ - Arc or Circle to deconstruct
+ - afc869e9-b2a8-4a9f-87be-bd9f19bbc893
+ - Arc
+ - Arc
+ - false
+ - 5a13f3c0-44eb-4b16-a344-6b42d9ca806e
+ - 1
+
+
+
+
+ -
+ 317
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+ 60
+
+ -
+ 327
+ 11832
+
+
+
+
+
+
+
+ - Base plane of arc or circle
+ - 70b708c0-9282-4586-9f10-2f76d90eab02
+ - Base Plane
+ - Base Plane
+ - false
+ - 0
+
+
+
+
+ -
+ 361
+ 11802
+ 54
+ 20
+
+ -
+ 388
+ 11812
+
+
+
+
+
+
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+ - Radius of arc or circle
+ - 7522a814-230b-46ce-97d5-911b413cb1ad
+ - Radius
+ - Radius
+ - false
+ - 0
+
+
+
+
+ -
+ 361
+ 11822
+ 54
+ 20
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+ -
+ 388
+ 11832
+
+
+
+
+
+
+
+ - Angle domain (in radians) of arc
+ - 50937eaf-8e1f-4b2f-a7b2-2ddddfb849de
+ - Angle
+ - Angle
+ - false
+ - 0
+
+
+
+
+ -
+ 361
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+ 54
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+ -
+ 388
+ 11852
+
+
+
+
+
+
+
+
+
+
+
+ - 59e0b89a-e487-49f8-bab8-b5bab16be14c
+ - Panel
+
+
+
+
+ - A panel for custom notes and text values
+ - f120505a-9413-4e2e-8ba0-38b0daee9984
+ - Panel
+ - false
+ - 0
+ - fcf1891f-8474-48cc-83cd-6b1a2056e45e
+ - 1
+ - Double click to edit panel contentβ¦
+
+
+
+
+ -
+ 1224
+ 11829
+ 161
+ 309
+
+ - 0
+ - 0
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+ 255;255;255;255
+
+ - true
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+
+
+
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+ - 1398f508-3c37-4fef-8384-a29dc771fd46
+ - ab81fea9-8d16-4caf-af89-2736c660f36d
+ - Circumscribed Polygon
+
+
+
+
+ - A regular circumscribed polygon
+ - true
+ - 2f248fd2-82ac-4499-9d14-0f6fbe82c2fd
+ - Circumscribed Polygon
+ - Circumscribed Polygon
+
+
+
+
+ -
+ 802
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+ 185
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+ -
+ 933
+ 11819
+
+
+
+
+
+ - Polygon base plane
+ - 487d7faa-cb5c-4445-99a3-8c44d1172166
+ - Plane
+ - Plane
+ - true
+ - 0
+
+
+
+
+ -
+ 804
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+ 37
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+ -
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+
+
+
+
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+ 1
+ 0
+ 0
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+ 1
+ 0
+
+
+
+
+
+
+
+
+
+
+
+ - The distance from the center to the mid edge of the polygon
+ - 7f1e2f1b-6db1-4ffd-9d4b-748071dfc8d4
+ - Radius
+ - Radius
+ - true
+ - 0
+
+
+
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+ -
+ 804
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+ 11827
+
+
+
+
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+ - 1
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+
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+
+ - 1
+ - {0}
+
+
+
+
+ - 0.5
+
+
+
+
+
+
+
+
+
+
+ - The number of sides of the regular polygon. Must be more than 2
+ - 3bab9e2e-6870-4ad1-97ed-7b80db5f236b
+ - Sides
+ - Sides
+ - true
+ - 0
+
+
+
+
+ -
+ 804
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+ - 1
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+ - 1
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+
+
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+ - 6
+
+
+
+
+
+
+
+
+
+
+ - Regular polygon curve
+ - bc695343-945c-4edd-a2d6-8dbf98a114c8
+ - Polygon
+ - Polygon
+ - false
+ - 0
+
+
+
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+ -
+ 945
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+
+
+
+
+
+
+
+
+
+
+
+ - 6f93d366-919f-4dda-a35e-ba03dd62799b
+ - Sort List
+
+
+
+
+ - Sort a list of numeric keys.
+ - true
+ - fd5bf729-36d2-4b38-bc83-e0a75b12b82b
+ - Sort List
+ - Sort List
+
+
+
+
+ -
+ 458
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+
+
+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 2
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - 1
+ - List of sortable keys
+ - a4c4b9e3-21a8-4b94-aa22-1ea7fdb24783
+ - Keys
+ - Keys
+ - false
+ - ac3832d3-eea0-4dac-9495-e7f1072416b4
+ - 1
+
+
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+
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+
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+
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+ - 1
+ - Optional list of values to sort synchronously
+ - 0a8e1c8f-c282-4d22-aeba-5bd000440713
+ - Values Values A
+ - Values A
+ - true
+ - 0
+
+
+
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+
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+ - Boundary Surfaces
+
+
+
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+ - Create planar surfaces from a collection of boundary edge curves.
+ - true
+ - b6230fa6-808e-494e-ac0c-6d2d0d2dd3fd
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+ - Boundary Surfaces
+
+
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+ - f8f33b09-47b9-4a66-b871-9750dadf8751
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+ - false
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+
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+
+
+
+
+ - Places several triangles into every face.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
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+ - Weaverbird's Split Triangles Subdivision
+ - Weaverbird's Split Triangles Subdivision
+
+
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+ - fbbabb97-a808-4706-a94e-1face5751a57
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+ - a3caf11e-fd36-4d65-b7d2-2591f1a00509
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+
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+ - The mesh after the subdividing process
+ - fe0aca6c-da70-475a-8b8b-9ad2f33212b9
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+ - Output Mesh/Curves
+ - false
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+
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+ - Face Boundaries
+
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+
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+ - Convert all mesh faces to polylines
+ - true
+ - 1084cbd4-6f19-4419-b2a6-b82f90ebd782
+ - Face Boundaries
+ - Face Boundaries
+
+
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+ 110
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+
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+ - Mesh
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+ - fe0aca6c-da70-475a-8b8b-9ad2f33212b9
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+
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+ 28
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+
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+ - Boundary polylines for each mesh face
+ - 0018b36c-afec-43f0-a883-f9195d605933
+ - Boundaries
+ - Boundaries
+ - false
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+
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+ - Relay
+
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+
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+ - 2
+ - A wire relay object
+ - 0991fc2a-92ea-42b1-98d1-4e2f0a4ed580
+ - Relay
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+ 11793
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - fa33f9d9-3fd5-44af-bf12-c687d75a7a13
+ - Scale
+ - Scale
+
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+ -1312
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+ 17594
+
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+ - 959509f0-afdf-4bc2-9007-57d6c356b63b
+ - Geometry
+ - Geometry
+ - true
+ - 0991fc2a-92ea-42b1-98d1-4e2f0a4ed580
+ - 1
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+ 17574
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+ - c6a88ff9-c8f0-458f-9307-cc9f95ce4df9
+ - Transform
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+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - 359e0231-cae9-483e-a217-2618e8ee8d20
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+
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+ 17482
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+ - Geometry
+ - Geometry
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+ - 1
+
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+ 17462
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+
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+ - Center
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+
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+ - 4eae3eb6-815a-457c-b501-e0fcd0ff2930
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
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+ -758
+ 17467
+
+
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+ - fcc1204c-bdfd-439b-ab34-cd7f3e4965ec
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
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+ - 6af381c4-c379-4b7c-b0bb-641927985eea
+ - 1c9de8a1-315f-4c56-af06-8f69fee80a7a
+ - Parameter Pipe Mesh
+
+
+
+
+ - Create a piped mesh along a curve from domain dividing {u} and {v} parameters, or by lengths between control points, or by angle accuracy, with various end types.
+
+
+-base methods by Mateusz Zwierzycki
+ - true
+ - ae7dd8fe-29b0-4e3c-9e9f-1dcff499ad26
+ - true
+ - Parameter Pipe Mesh
+ - Parameter Pipe Mesh
+
+
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+
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+ 18
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+
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+ - 41fb7fc2-3da5-455a-b6c5-c24874138f4c
+ - true
+ - Curve
+ - Curve
+ - false
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+ -125
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+ 131
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+ -59.5
+ 11197
+
+
+
+
+
+
+
+ - Radius of the pipe mesh
+ - 7d0e8d11-faa3-40c8-b1a2-b142348b2dfb
+ - true
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+ - Radius
+ - false
+ - 0
+
+
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+ -
+ -125
+ 11207
+ 131
+ 20
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+ 11217
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+
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+ - 0.1111111111111111
+
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+
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+
+
+
+
+
+
+ - 1
+ - Division parameters along the curves {u} domain for mesh faces ({u}0.0 = Curve start, {u}1.0 = Curve end)
+(unless Length is true or Angle is not 0.0)
+
+For best results {u} parameters should be between 0 and 1, in numerical order, and non duplicate
+ - f89cac4c-c7f2-47be-849c-97679c5f2a43
+ - true
+ - Parameters U
+ - Parameters U
+ - true
+ - 0
+
+
+
+
+ -
+ -125
+ 11227
+ 131
+ 20
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+ -
+ -59.5
+ 11237
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+ - 1
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+ - 7
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+ - 0
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+ - 0.1666666667
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+ - 0.3333333333
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+ - 0.6666666667
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+
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+ - 0.8333333333
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - 1
+ - Division parameters around the curve {v} domain for mesh faces ({v}0.0 = Revolve min, {v}1.0 = Revolve max)
+
+For best results {v} parameters should be between 0 and 1, in numerical order, and non duplicate
+ - edfbe7fc-3c6d-4311-9954-dbaf23b859b6
+ - true
+ - Parameters V
+ - Parameters V
+ - false
+ - 0
+
+
+
+
+ -
+ -125
+ 11247
+ 131
+ 20
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+ 11257
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+ - If True, the curves mesh face divisions are defined by the lengths between its control points instead of the {u} parameters
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+(useful for conforming mesh face divisions to each segment of a polyline curve)
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+ - If Angle is not 0.0, the curves mesh face divisions are defined by angle accuracy in degrees instead of the {u} parameters
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+(useful for conforming mesh face divisions to the curvature of the curve)
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+0 = None
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+ - Convert all mesh faces to polylines
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+ - Divide a curve into equal length segments
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+
+
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+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
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+
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+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
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+
+
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+Provided by Weaverbird 0.9.0.1.
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+ - A group of Grasshopper objects
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+
+
+
+
+ - Places several triangles into every face.
+
+Provided by Weaverbird 0.9.0.1.
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+ - 9d96da9c-9354-ef32-7983-0acb11a3d493
+ - Subdivide Triangle
+
+
+
+
+ - Subdivides a triangle into self-similar cells.
+ - true
+ - a05aca56-e5e2-4b9f-92fc-888ab8abb992
+ - Subdivide Triangle
+ - Subdivide Triangle
+
+
+
+
+ -
+ -25
+ 11980
+ 197
+ 144
+
+ -
+ 82
+ 12052
+
+
+
+
+
+ - A closed triangular curve or surface to subdivide
+ - 3a8faea9-5e19-4551-a3b2-56ea0a6cf856
+ - Triangular Curve
+ - Triangular Curve
+ - false
+ - 98ee4bae-37d9-4694-a1b9-786a5ad1ad40
+ - 1
+
+
+
+
+ -
+ -23
+ 11982
+ 93
+ 20
+
+ -
+ 23.5
+ 11992
+
+
+
+
+
+
+
+ - Number of subdivisions.
+ - 2893c7c8-43c3-42af-8a02-db2d7ffca2c4
+ - Subdivide
+ - Subdivide
+ - false
+ - 0
+
+
+
+
+ -
+ -23
+ 12002
+ 93
+ 20
+
+ -
+ 23.5
+ 12012
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 0
+
+
+
+
+
+
+
+
+
+
+ - The first boolean.
+ - a18e24d0-b858-4f8f-bec5-c37358d84928
+ - Boolean 1
+ - Boolean 1
+ - false
+ - 0
+
+
+
+
+ -
+ -23
+ 12022
+ 93
+ 20
+
+ -
+ 23.5
+ 12032
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - false
+
+
+
+
+
+
+
+
+
+
+ - The second boolean.
+ - 53abd254-46ed-4d9b-875e-aa66f98a10b5
+ - Boolean 2
+ - Boolean 2
+ - false
+ - 0
+
+
+
+
+ -
+ -23
+ 12042
+ 93
+ 20
+
+ -
+ 23.5
+ 12052
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - true
+
+
+
+
+
+
+
+
+
+
+ - The third boolean.
+ - d5fce647-c30d-4098-a179-b3ec5c702460
+ - Boolean 3
+ - Boolean 3
+ - false
+ - 0
+
+
+
+
+ -
+ -23
+ 12062
+ 93
+ 20
+
+ -
+ 23.5
+ 12072
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - true
+
+
+
+
+
+
+
+
+
+
+ - The fourth boolean.
+ - f9993094-6e0c-4346-92c3-0a0822e13d2a
+ - Boolean 4
+ - Boolean 4
+ - false
+ - 0
+
+
+
+
+ -
+ -23
+ 12082
+ 93
+ 20
+
+ -
+ 23.5
+ 12092
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - true
+
+
+
+
+
+
+
+
+
+
+ - When set to true, the component will return polylines (faster), when set to false, the component will return surfaces (slower)
+ - 999e5093-a0af-4170-b19f-465f4ada17b5
+ - Wires
+ - Wires
+ - false
+ - 0
+
+
+
+
+ -
+ -23
+ 12102
+ 93
+ 20
+
+ -
+ 23.5
+ 12112
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - true
+
+
+
+
+
+
+
+
+
+
+ - List of triangle cells.
+ - 260bfe2e-115a-421e-b055-df8b2eb9f62a
+ - Triangle Cells A
+ - Triangle Cells A
+ - false
+ - 0
+
+
+
+
+ -
+ 94
+ 11982
+ 76
+ 70
+
+ -
+ 132
+ 12017
+
+
+
+
+
+
+
+ - List of triangle cells.
+ - 08ab41c3-cf61-42d3-a6f6-ef31d2504b68
+ - Triangle Cells B
+ - Triangle Cells B
+ - false
+ - 0
+
+
+
+
+ -
+ 94
+ 12052
+ 76
+ 70
+
+ -
+ 132
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+
+
+
+
+
+
+
+
+
+
+
+ - 3efefe13-1114-4638-521c-602969182936
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Sierpinski Triangles Subdivision
+
+
+
+
+ - Places a triangle in each corner of a mesh face. The mesh will have one more hole per face.
+
+Provided by Weaverbird 0.9.0.1.
+ - 0
+ - true
+ - 039c9d5b-993a-4237-8682-73fcc0c12607
+ - Weaverbird's Sierpinski Triangles Subdivision
+ - Weaverbird's Sierpinski Triangles Subdivision
+
+
+
+
+ -
+ 151
+ 11917
+ 206
+ 44
+
+ -
+ 244
+ 11939
+
+
+
+
+
+ - 1
+ - The open or closed mesh, or closed curves list, to subdivide
+ - 9ac43786-c221-4aed-b00a-95eb1c0492a3
+ - Mesh/Curves
+ - Mesh/Curves
+ - false
+ - 98ee4bae-37d9-4694-a1b9-786a5ad1ad40
+ - 1
+
+
+
+
+ -
+ 153
+ 11919
+ 79
+ 20
+
+ -
+ 192.5
+ 11929
+
+
+
+
+
+
+
+ - The number of subdividing iterations for each face
+ - 003d49f4-ee1f-4273-a132-37c56b61ff50
+ - Level
+ - Level
+ - true
+ - 0
+
+
+
+
+ -
+ 153
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+ 79
+ 20
+
+ -
+ 192.5
+ 11949
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 2
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the subdividing process
+ - 46f11482-6312-4c29-92f6-cd736f5e0ec2
+ - Output Mesh/Curves
+ - Output Mesh/Curves
+ - false
+ - 0
+
+
+
+
+ -
+ 256
+ 11919
+ 99
+ 40
+
+ -
+ 305.5
+ 11939
+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 98ee4bae-37d9-4694-a1b9-786a5ad1ad40
+ - Relay
+ - false
+ - b983faf4-e31b-495c-9984-8e40387971a0
+ - 1
+
+
+
+
+ -
+ -153
+ 11999
+ 40
+ 16
+
+ -
+ -133
+ 12007
+
+
+
+
+
+
+
+
+
+ - b709f183-e4c5-4888-abed-beaf3cb22d59
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Split Triangles Subdivision
+
+
+
+
+ - Places several triangles into every face.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - 3985f5d5-1998-4490-b4a6-88cf31b9cab0
+ - Weaverbird's Split Triangles Subdivision
+ - Weaverbird's Split Triangles Subdivision
+
+
+
+
+ -
+ 45
+ 11804
+ 206
+ 44
+
+ -
+ 138
+ 11826
+
+
+
+
+
+ - 1
+ - The open or closed mesh, or closed curves list, to subdivide
+ - a2f1184c-ae2f-4b01-9338-dce3d14a60bb
+ - Mesh/Curves
+ - Mesh/Curves
+ - false
+ - 98ee4bae-37d9-4694-a1b9-786a5ad1ad40
+ - 1
+
+
+
+
+ -
+ 47
+ 11806
+ 79
+ 20
+
+ -
+ 86.5
+ 11816
+
+
+
+
+
+
+
+ - The number of subdividing iterations for each face
+ - 762da3ea-bfc3-4ea5-8fec-4ee24b30e739
+ - Level
+ - Level
+ - true
+ - 0
+
+
+
+
+ -
+ 47
+ 11826
+ 79
+ 20
+
+ -
+ 86.5
+ 11836
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 3
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the subdividing process
+ - da9f251e-fb2f-4ec9-849f-213fdd77ae1c
+ - Output Mesh/Curves
+ - Output Mesh/Curves
+ - false
+ - 0
+
+
+
+
+ -
+ 150
+ 11806
+ 99
+ 40
+
+ -
+ 199.5
+ 11826
+
+
+
+
+
+
+
+
+
+
+
+ - 501aecbb-c191-4d13-83d6-7ee32445ac50
+ - Cull Index
+
+
+
+
+ - Cull (remove) indexed elements from a list.
+ - true
+ - cbeb1d08-f1fe-4a45-a3a4-9a60cb532f95
+ - Cull Index
+ - Cull Index
+
+
+
+
+ -
+ -290
+ 12059
+ 92
+ 64
+
+ -
+ -231
+ 12091
+
+
+
+
+
+ - 1
+ - List to cull
+ - 6c7b63c2-21da-4ccd-b3ca-1d4ebf1facba
+ - List
+ - List
+ - false
+ - 2ad0ef23-4f0e-406d-84a1-ade611138ae4
+ - 1
+
+
+
+
+ -
+ -288
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+ 45
+ 20
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+ -
+ -265.5
+ 12071
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+
+
+
+
+
+
+ - 1
+ - Culling indices
+ - 8dca8b4a-a070-457a-8bde-674c2d89f9b9
+ - Indices
+ - Indices
+ - false
+ - ffee826d-1869-44f6-99a5-663f9f7ad582
+ - 1
+
+
+
+
+ -
+ -288
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+ 45
+ 20
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+ -
+ -265.5
+ 12091
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+
+
+
+
+ - 1
+
+
+
+
+ - 3
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+
+
+
+
+ - 2
+
+
+
+
+ - 5
+
+
+
+
+ - 7
+
+
+
+
+
+
+
+
+
+
+ - Wrap indices to list range
+ - 7e71a67b-d237-4820-9f67-01bfd3c6006a
+ - Wrap
+ - Wrap
+ - false
+ - 0
+
+
+
+
+ -
+ -288
+ 12101
+ 45
+ 20
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+ -
+ -265.5
+ 12111
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - true
+
+
+
+
+
+
+
+
+
+
+ - 1
+ - Culled list
+ - 99288da7-ee7d-4de2-8011-8ff630f131fb
+ - List
+ - List
+ - false
+ - 0
+
+
+
+
+ -
+ -219
+ 12061
+ 19
+ 60
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+ -
+ -209.5
+ 12091
+
+
+
+
+
+
+
+
+
+
+
+ - 0b4ac802-fc4a-4201-9c66-0078b837c1eb
+ - Face Boundaries
+
+
+
+
+ - Convert all mesh faces to polylines
+ - true
+ - 3a2bd642-94c1-4a37-80a9-29e02c7be019
+ - Face Boundaries
+ - Face Boundaries
+
+
+
+
+ -
+ -394
+ 11996
+ 110
+ 28
+
+ -
+ -352
+ 12010
+
+
+
+
+
+ - Mesh for face boundary extraction
+ - 833744aa-6f8f-4d4a-a07f-3c1c75db4dd2
+ - Mesh
+ - Mesh
+ - false
+ - da9f251e-fb2f-4ec9-849f-213fdd77ae1c
+ - 1
+
+
+
+
+ -
+ -392
+ 11998
+ 28
+ 24
+
+ -
+ -378
+ 12010
+
+
+
+
+
+
+
+ - 1
+ - Boundary polylines for each mesh face
+ - 2ad0ef23-4f0e-406d-84a1-ade611138ae4
+ - Boundaries
+ - Boundaries
+ - false
+ - 0
+
+
+
+
+ -
+ -340
+ 11998
+ 54
+ 24
+
+ -
+ -313
+ 12010
+
+
+
+
+
+
+
+
+
+
+
+ - 59daf374-bc21-4a5e-8282-5504fb7ae9ae
+ - List Item
+
+
+
+
+ - 0
+ - Retrieve a specific item from a list.
+ - true
+ - ae891292-011f-4ff4-ba08-ec46445e5b7a
+ - List Item
+ - List Item
+
+
+
+
+ -
+ -284
+ 12170
+ 72
+ 64
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+ -
+ -232
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+
+
+
+
+
+ - 3
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 2e3ab970-8545-46bb-836c-1c11e5610bce
+ - cb95db89-6165-43b6-9c41-5702bc5bf137
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - 1
+ - Base list
+ - 47347490-1877-4f39-876a-7b535aaca010
+ - List
+ - List
+ - false
+ - 2ad0ef23-4f0e-406d-84a1-ade611138ae4
+ - 1
+
+
+
+
+ -
+ -282
+ 12172
+ 38
+ 20
+
+ -
+ -263
+ 12182
+
+
+
+
+
+
+
+ - Item index
+ - b80c5ac0-d768-4367-b839-60805039d9bc
+ - Index
+ - Index
+ - false
+ - ffee826d-1869-44f6-99a5-663f9f7ad582
+ - 1
+
+
+
+
+ -
+ -282
+ 12192
+ 38
+ 20
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+ -
+ -263
+ 12202
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 7
+
+
+
+
+
+
+
+
+
+
+ - Wrap index to list bounds
+ - 86a02b86-1bb7-40de-b5c4-c4f020221a61
+ - Wrap
+ - Wrap
+ - false
+ - 0
+
+
+
+
+ -
+ -282
+ 12212
+ 38
+ 20
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+ -
+ -263
+ 12222
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - true
+
+
+
+
+
+
+
+
+
+
+ - Item at {i'}
+ - cee39218-19c8-4785-908c-13a7f7e684b3
+ - false
+ - Item
+ - i
+ - false
+ - 0
+
+
+
+
+ -
+ -220
+ 12172
+ 6
+ 60
+
+ -
+ -217
+ 12202
+
+
+
+
+
+
+
+
+
+
+
+
+
+ - d51e9b65-aa4e-4fd6-976c-cef35d421d05
+ - Boundary Surfaces
+
+
+
+
+ - Create planar surfaces from a collection of boundary edge curves.
+ - true
+ - 1368d479-149e-40cf-9371-952013b246f5
+ - true
+ - Boundary Surfaces
+ - Boundary Surfaces
+
+
+
+
+ -
+ 311
+ 12275
+ 102
+ 28
+
+ -
+ 356
+ 12289
+
+
+
+
+
+ - 1
+ - Boundary curves
+ - 267657c8-d5fe-4c73-b169-b604bfcc0718
+ - true
+ - Edges
+ - Edges
+ - false
+ - 5a13f3c0-44eb-4b16-a344-6b42d9ca806e
+ - 1
+
+
+
+
+ -
+ 313
+ 12277
+ 31
+ 24
+
+ -
+ 328.5
+ 12289
+
+
+
+
+
+
+
+ - 1
+ - Resulting boundary surfaces
+ - 6cf3bcb2-f10e-48e6-bc1c-ded9e44057be
+ - true
+ - Surfaces
+ - Surfaces
+ - false
+ - 0
+
+
+
+
+ -
+ 368
+ 12277
+ 43
+ 24
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+ -
+ 389.5
+ 12289
+
+
+
+
+
+
+
+
+
+
+
+ - 2e3ab970-8545-46bb-836c-1c11e5610bce
+ - Indices
+
+
+
+
+ - 1
+ - Culling indices
+ - ffee826d-1869-44f6-99a5-663f9f7ad582
+ - Indices
+ - Indices
+ - false
+ - 0
+
+
+
+
+ -
+ -440
+ 12057
+ 50
+ 24
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+ -
+ -415.0035
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+
+
+
+
+
+ - 1
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+
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+ - 3
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+ - 2
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+ - 5
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+
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+ - 7
+
+
+
+
+
+
+
+
+
+
+
+
+ - 86a9944b-dea5-4126-9433-9e95ff07927a
+ - Triangular
+
+
+
+
+ - 2D grid with triangular cells
+ - true
+ - 27a6825a-aac4-43bf-9f67-731b011442cf
+ - Triangular
+ - Triangular
+
+
+
+
+ -
+ 1348
+ 12758
+ 239
+ 101
+
+ -
+ 1542
+ 12809
+
+
+
+
+
+ - Base plane for grid
+ - 22bc5454-c02b-42b3-ab5f-3caa8166ce48
+ - Plane
+ - Plane
+ - false
+ - 0
+
+
+
+
+ -
+ 1350
+ 12760
+ 180
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+ -
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+ -0.5
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+ 0
+
+
+
+
+
+
+
+
+
+
+
+ - Size of triangle edges
+ - 2222a986-f64d-4a44-8d56-0c0817da4d99
+ - Size
+ - Size
+ - false
+ - 89b360c1-4ca5-43ef-a31c-f58502e1d8d6
+ - 1
+
+
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+ -
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+
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+ - 1
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+
+
+
+
+ - 0.5
+
+
+
+
+
+
+
+
+
+
+ - Number of grid cells in base plane x directions
+ - 3cb45a82-fb21-4abe-be70-be5a1751aaee
+ - Extent X
+ - Extent X
+ - false
+ - 0
+
+
+
+
+ -
+ 1350
+ 12817
+ 180
+ 20
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+ -
+ 1440
+ 12827
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+
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+ - 1
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+
+ - 1
+ - {0}
+
+
+
+
+ - 21
+
+
+
+
+
+
+
+
+
+
+ - Number of grid cells in base plane y directions
+ - d02f2d46-849a-4a00-a28a-91d8bb33226e
+ - Extent Y
+ - Extent Y
+ - false
+ - 0
+
+
+
+
+ -
+ 1350
+ 12837
+ 180
+ 20
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+ -
+ 1440
+ 12847
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+
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+ - 1
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+
+ - 1
+ - {0}
+
+
+
+
+ - 3
+
+
+
+
+
+
+
+
+
+
+ - 2
+ - Grid cell outlines
+ - 22ae49bd-bb46-4193-88a3-fb4895816fb3
+ - Cells
+ - Cells
+ - false
+ - 0
+
+
+
+
+ -
+ 1554
+ 12760
+ 31
+ 48
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+ -
+ 1569.5
+ 12784.25
+
+
+
+
+
+
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+ - Edges
+ - false
+ - 971d6b26-11bf-498f-be3f-5e2ff0e98a50
+ - 1
+
+
+
+
+ -
+ -2075
+ 8204
+ 31
+ 24
+
+ -
+ -2059.5
+ 8216
+
+
+
+
+
+
+
+ - 1
+ - Resulting boundary surfaces
+ - 564dd9ce-bb9c-4d5d-9804-51e054531eed
+ - true
+ - Surfaces
+ - Surfaces
+ - false
+ - 0
+
+
+
+
+ -
+ -2020
+ 8204
+ 43
+ 24
+
+ -
+ -1998.5
+ 8216
+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 310bcc2c-d776-48b0-9647-0333c594920a
+ - true
+ - Relay
+ - false
+ - 9f5b564c-72a4-4f34-8bdf-64cc543ba603
+ - 1
+
+
+
+
+ -
+ -2079
+ 8353
+ 40
+ 16
+
+ -
+ -2059
+ 8361
+
+
+
+
+
+
+
+
+
+ - 4098ec7a-819a-4ced-9ccc-86835d7e21c9
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ - Computes a new mesh with higher genus, where each face has a new hole in the center. The resulting mesh always consists of quad faces.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - a3fff268-9e11-4f43-8f1a-83a5a3b6ea7b
+ - true
+ - Weaverbird's Sierpinski Carpet
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ -
+ -1986
+ 7947
+ 212
+ 64
+
+ -
+ -1832
+ 7979
+
+
+
+
+
+ - 1
+ - The mesh, or list of polylines, which will be processed.
+ - 64fad335-39b6-4638-b1a6-09274137ecf6
+ - true
+ - Mesh/Polylines
+ - Mesh/Polylines
+ - false
+ - 9f5b564c-72a4-4f34-8bdf-64cc543ba603
+ - 1
+
+
+
+
+ -
+ -1984
+ 7949
+ 140
+ 20
+
+ -
+ -1906
+ 7959
+
+
+
+
+
+
+
+ - 1
+ - The scalar value used in the construction of the new internal vertices.
+Distance can be set as list, where each value applies to the correspondent element in the input mesh.
+ - 207f5ddd-d586-41dd-ac62-400f5dbe8faf
+ - true
+ - 2
+ - Distance
+ - Distance
+ - true
+ - 0
+
+
+
+
+ -
+ -1984
+ 7969
+ 140
+ 20
+
+ -
+ -1906
+ 7979
+
+
+
+
+
+ - 1
+
+
+
+
+ - 2
+ - {0}
+
+
+
+
+ - -5.5555555556
+
+
+
+
+ - 5.5555555556
+
+
+
+
+
+
+
+
+
+
+ - Definition of distance for new vertices
+
+0: Percent. Percentual of the length of the edge (must be < 50).
+1: Parallelogram. Parallelogram rule (value < than shortest edge length / 2).
+ - a3a0db0c-5941-494a-b1e3-601e36b4628c
+ - true
+ - InsetType
+ - InsetType
+ - true
+ - 0
+
+
+
+
+ -
+ -1984
+ 7989
+ 140
+ 20
+
+ -
+ -1906
+ 7999
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 0
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the process
+ - e9231f51-8b09-4870-b4a7-8e744859131b
+ - true
+ - OutMesh
+ - OutMesh
+ - false
+ - 0
+
+
+
+
+ -
+ -1820
+ 7949
+ 44
+ 60
+
+ -
+ -1798
+ 7979
+
+
+
+
+
+
+
+
+
+
+
+ - 4098ec7a-819a-4ced-9ccc-86835d7e21c9
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ - Computes a new mesh with higher genus, where each face has a new hole in the center. The resulting mesh always consists of quad faces.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - 61f9d53d-75df-4b49-ab93-563f3ff353de
+ - true
+ - Weaverbird's Sierpinski Carpet
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ -
+ -2022
+ 8081
+ 239
+ 64
+
+ -
+ -1841
+ 8113
+
+
+
+
+
+ - 1
+ - The mesh, or list of polylines, which will be processed.
+ - 7379a5bc-a6d0-4742-8493-f10ecd3b402b
+ - true
+ - Mesh/Polylines
+ - Mesh/Polylines
+ - false
+ - 34f3f86b-37db-4652-bcce-8962aa08f954
+ - 1
+
+
+
+
+ -
+ -2020
+ 8083
+ 167
+ 20
+
+ -
+ -1928.5
+ 8093
+
+
+
+
+
+
+
+ - 1
+ - The scalar value used in the construction of the new internal vertices.
+Distance can be set as list, where each value applies to the correspondent element in the input mesh.
+ - d2ac9d9d-ed87-45f7-9fdf-1bc5b947bbad
+ - 2/(3*sqrt(3))
+ - true
+ - Distance
+ - Distance
+ - true
+ - 0
+
+
+
+
+ -
+ -2020
+ 8103
+ 167
+ 20
+
+ -
+ -1928.5
+ 8113
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 0.384900179
+
+
+
+
+
+
+
+
+
+
+ - Definition of distance for new vertices
+
+0: Percent. Percentual of the length of the edge (must be < 50).
+1: Parallelogram. Parallelogram rule (value < than shortest edge length / 2).
+ - e2396760-bfaf-46ea-a943-9eca77d2602a
+ - true
+ - InsetType
+ - InsetType
+ - true
+ - 0
+
+
+
+
+ -
+ -2020
+ 8123
+ 167
+ 20
+
+ -
+ -1928.5
+ 8133
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the process
+ - 5b1e3def-fcac-4671-b1ee-4f6cc0a69788
+ - true
+ - OutMesh
+ - OutMesh
+ - false
+ - 0
+
+
+
+
+ -
+ -1829
+ 8083
+ 44
+ 60
+
+ -
+ -1807
+ 8113
+
+
+
+
+
+
+
+
+
+
+
+ - 0b4ac802-fc4a-4201-9c66-0078b837c1eb
+ - Face Boundaries
+
+
+
+
+ - Convert all mesh faces to polylines
+ - true
+ - a1000639-51f3-4a44-8a9f-38855a6ec110
+ - true
+ - Face Boundaries
+ - Face Boundaries
+
+
+
+
+ -
+ -1934
+ 8231
+ 110
+ 28
+
+ -
+ -1892
+ 8245
+
+
+
+
+
+ - Mesh for face boundary extraction
+ - 8504900a-709e-4d60-993f-db2cc26e21c8
+ - true
+ - Mesh
+ - Mesh
+ - false
+ - 5b1e3def-fcac-4671-b1ee-4f6cc0a69788
+ - 1
+
+
+
+
+ -
+ -1932
+ 8233
+ 28
+ 24
+
+ -
+ -1918
+ 8245
+
+
+
+
+
+
+
+ - 1
+ - Boundary polylines for each mesh face
+ - e53c9b3d-97a3-4151-a9ff-20954c2d4537
+ - true
+ - Boundaries
+ - Boundaries
+ - false
+ - 0
+
+
+
+
+ -
+ -1880
+ 8233
+ 54
+ 24
+
+ -
+ -1853
+ 8245
+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - a2af1735-3b52-4f8e-b564-f0924f17d4c9
+ - true
+ - Relay
+ - false
+ - 5273a458-6cc9-412a-8ef8-dbf186a0da3e
+ - 1
+
+
+
+
+ -
+ -1765
+ 7982
+ 40
+ 16
+
+ -
+ -1745
+ 7990
+
+
+
+
+
+
+
+
+
+ - 33bcf975-a0b2-4b54-99fd-585c893b9e88
+ - Digit Scroller
+
+
+
+
+ - Numeric scroller for single numbers
+ - 88a404d3-d311-4427-b6be-927e533c45da
+ - true
+ - Digit Scroller
+ - Digit Scroller
+ - false
+ - 0
+
+
+
+
+ - 12
+ - Digit Scroller
+ - 1
+ - 0.38490017900
+
+
+
+
+ -
+ -2047
+ 8029
+ 250
+ 20
+
+ -
+ -2046.549
+ 8029.096
+
+
+
+
+
+
+
+
+
+ - 4098ec7a-819a-4ced-9ccc-86835d7e21c9
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ - Computes a new mesh with higher genus, where each face has a new hole in the center. The resulting mesh always consists of quad faces.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - 85354c29-ff00-40a4-bf4c-619171f832d6
+ - true
+ - Weaverbird's Sierpinski Carpet
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ -
+ -1619
+ 8098
+ 223
+ 64
+
+ -
+ -1454
+ 8130
+
+
+
+
+
+ - 1
+ - The mesh, or list of polylines, which will be processed.
+ - 9d7ee7db-34ad-4372-af89-221b718221aa
+ - true
+ - Mesh/Polylines
+ - Mesh/Polylines
+ - false
+ - a0f3415d-1dd4-4838-a5bc-8018e4053f03
+ - 1
+
+
+
+
+ -
+ -1617
+ 8100
+ 151
+ 20
+
+ -
+ -1541.5
+ 8110
+
+
+
+
+
+
+
+ - 1
+ - The scalar value used in the construction of the new internal vertices.
+Distance can be set as list, where each value applies to the correspondent element in the input mesh.
+ - 9250221d-11a2-4910-8f9a-8f193e58bf36
+ - true
+ - Distance
+ - Distance
+ - true
+ - ee9c40ad-37fa-4a2f-b3ee-f737d0634bb4
+ - 1
+
+
+
+
+ -
+ -1617
+ 8120
+ 151
+ 20
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+ -
+ -1541.5
+ 8130
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+
+
+
+
+ - 1
+
+
+
+
+ - 2
+ - {0}
+
+
+
+
+ - 0.064150029909958425
+
+
+
+
+ - -0.064150029909958425
+
+
+
+
+
+
+
+
+
+
+ - Definition of distance for new vertices
+
+0: Percent. Percentual of the length of the edge (must be < 50).
+1: Parallelogram. Parallelogram rule (value < than shortest edge length / 2).
+ - e429859d-215d-4ce5-a634-d6d954441b28
+ - true
+ - InsetType
+ - InsetType
+ - true
+ - 0
+
+
+
+
+ -
+ -1617
+ 8140
+ 151
+ 20
+
+ -
+ -1541.5
+ 8150
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the process
+ - c763e8d8-80d1-45fc-aea7-dca9ec0e5134
+ - true
+ - OutMesh
+ - OutMesh
+ - false
+ - 0
+
+
+
+
+ -
+ -1442
+ 8100
+ 44
+ 60
+
+ -
+ -1420
+ 8130
+
+
+
+
+
+
+
+
+
+
+
+ - 9df5e896-552d-4c8c-b9ca-4fc147ffa022
+ - Expression
+
+
+
+
+ - Evaluate an expression
+ - 2/(3*sqrt(3))/3/2
+ - true
+ - cde12b06-c89f-47ab-9b47-10185bf1a274
+ - true
+ - Expression
+ - Expression
+
+
+
+
+ -
+ -1749
+ 8323
+ 171
+ 28
+
+ -
+ -1666
+ 8337
+
+
+
+
+
+ - 0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Result of expression
+ - 33438a88-0707-4eac-9208-7e59a67af55f
+ - true
+ - Result
+ - false
+ - 0
+
+
+
+
+ -
+ -1586
+ 8325
+ 6
+ 24
+
+ -
+ -1583
+ 8337
+
+
+
+
+
+
+
+
+
+
+
+
+
+ - 3cadddef-1e2b-4c09-9390-0e8f78f7609f
+ - Merge
+
+
+
+
+ - Merge a bunch of data streams
+ - true
+ - 63bc31bb-1c35-45e1-bb0e-d5eb9589d09f
+ - true
+ - Merge
+ - Merge
+
+
+
+
+ -
+ -1556
+ 8237
+ 106
+ 64
+
+ -
+ -1511
+ 8269
+
+
+
+
+
+ - 3
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - 2
+ - Data stream 1
+ - 05a12be1-c665-445b-88b1-cd3dd73182a4
+ - true
+ - false
+ - Data 1
+ - D1
+ - true
+ - 9d3f84d9-7c48-449e-b7bd-ae1510888fa5
+ - 1
+
+
+
+
+ -
+ -1554
+ 8239
+ 31
+ 20
+
+ -
+ -1538.5
+ 8249
+
+
+
+
+
+
+
+ - 2
+ - Data stream 2
+ - 55d0882c-447b-48b4-9117-cd632730c33c
+ - true
+ - false
+ - Data 2
+ - D2
+ - true
+ - 33438a88-0707-4eac-9208-7e59a67af55f
+ - 1
+
+
+
+
+ -
+ -1554
+ 8259
+ 31
+ 20
+
+ -
+ -1538.5
+ 8269
+
+
+
+
+
+
+
+ - 2
+ - Data stream 3
+ - 096705ff-1a43-4bc3-bf2a-0c80ef3cdb80
+ - true
+ - false
+ - Data 3
+ - D3
+ - true
+ - 0
+
+
+
+
+ -
+ -1554
+ 8279
+ 31
+ 20
+
+ -
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+ 8289
+
+
+
+
+
+
+
+ - 2
+ - Result of merge
+ - ee9c40ad-37fa-4a2f-b3ee-f737d0634bb4
+ - true
+ - 2
+ - Result
+ - Result
+ - false
+ - 0
+
+
+
+
+ -
+ -1499
+ 8239
+ 47
+ 60
+
+ -
+ -1483.5
+ 8269
+
+
+
+
+
+
+
+
+
+
+
+
+
+ - a3371040-e552-4bc8-b0ff-10a840258e88
+ - Negative
+
+
+
+
+ - Compute the negative of a value.
+ - true
+ - f19184a2-8731-4677-b4d2-57e66a1e3480
+ - true
+ - Negative
+ - Negative
+
+
+
+
+ -
+ -1675
+ 8257
+ 88
+ 28
+
+ -
+ -1632
+ 8271
+
+
+
+
+
+ - Input value
+ - b19e354f-ee9a-4d1d-ba39-905483b945a1
+ - true
+ - Value
+ - Value
+ - false
+ - 33438a88-0707-4eac-9208-7e59a67af55f
+ - 1
+
+
+
+
+ -
+ -1673
+ 8259
+ 29
+ 24
+
+ -
+ -1658.5
+ 8271
+
+
+
+
+
+
+
+ - Output value
+ - 9d3f84d9-7c48-449e-b7bd-ae1510888fa5
+ - true
+ - Result
+ - Result
+ - false
+ - 0
+
+
+
+
+ -
+ -1620
+ 8259
+ 31
+ 24
+
+ -
+ -1604.5
+ 8271
+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - a0f3415d-1dd4-4838-a5bc-8018e4053f03
+ - true
+ - Relay
+ - false
+ - 9f5b564c-72a4-4f34-8bdf-64cc543ba603
+ - 1
+
+
+
+
+ -
+ -1841
+ 8188
+ 40
+ 16
+
+ -
+ -1821
+ 8196
+
+
+
+
+
+
+
+
+
+ - 4098ec7a-819a-4ced-9ccc-86835d7e21c9
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ - Computes a new mesh with higher genus, where each face has a new hole in the center. The resulting mesh always consists of quad faces.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - 26915544-d8e2-4ae4-96a8-6d42d66781dc
+ - true
+ - Weaverbird's Sierpinski Carpet
+ - Weaverbird's Sierpinski Carpet
+
+
+
+
+ -
+ -1322
+ 8227
+ 223
+ 64
+
+ -
+ -1157
+ 8259
+
+
+
+
+
+ - 1
+ - The mesh, or list of polylines, which will be processed.
+ - 68736c3a-e642-462a-a3b6-f794af17c034
+ - true
+ - Mesh/Polylines
+ - Mesh/Polylines
+ - false
+ - a0f3415d-1dd4-4838-a5bc-8018e4053f03
+ - 1
+
+
+
+
+ -
+ -1320
+ 8229
+ 151
+ 20
+
+ -
+ -1244.5
+ 8239
+
+
+
+
+
+
+
+ - 1
+ - The scalar value used in the construction of the new internal vertices.
+Distance can be set as list, where each value applies to the correspondent element in the input mesh.
+ - fb3b661c-a2ef-4ed9-aade-b507e2298e4c
+ - true
+ - Distance
+ - Distance
+ - true
+ - 2c56b2dc-a111-4c8d-b8d1-f0a079cf3845
+ - 1
+
+
+
+
+ -
+ -1320
+ 8249
+ 151
+ 20
+
+ -
+ -1244.5
+ 8259
+
+
+
+
+
+ - 1
+
+
+
+
+ - 2
+ - {0}
+
+
+
+
+ - 0.064150029909958425
+
+
+
+
+ - -0.064150029909958425
+
+
+
+
+
+
+
+
+
+
+ - Definition of distance for new vertices
+
+0: Percent. Percentual of the length of the edge (must be < 50).
+1: Parallelogram. Parallelogram rule (value < than shortest edge length / 2).
+ - fc8ff046-d6ea-4d78-8fb6-dd53f77c920a
+ - true
+ - InsetType
+ - InsetType
+ - true
+ - 0
+
+
+
+
+ -
+ -1320
+ 8269
+ 151
+ 20
+
+ -
+ -1244.5
+ 8279
+
+
+
+
+
+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the process
+ - 4c6ba9a6-c942-4d23-9fd1-34aae59164a1
+ - true
+ - OutMesh
+ - OutMesh
+ - false
+ - 0
+
+
+
+
+ -
+ -1145
+ 8229
+ 44
+ 60
+
+ -
+ -1123
+ 8259
+
+
+
+
+
+
+
+
+
+
+
+ - 9df5e896-552d-4c8c-b9ca-4fc147ffa022
+ - Expression
+
+
+
+
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+ - Merge a bunch of data streams
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+
+
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+ - Creates a series of triangulated fans from the edges of a polyline about the area centroid.
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+ - Explode a curve into smaller segments.
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+
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+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
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+
+ - 1
+ - {0}
+
+
+
+
+ - 9
+
+
+
+
+
+
+
+
+
+
+ - 2
+ -
+ - 7d21daa6-e3bb-4e45-90fa-09efc294f141
+ - true
+ -
+ -
+ - false
+ - 0
+
+
+
+
+ -
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+ 40894
+ 6
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+
+ -
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+ 40924
+
+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - 9f40327e-9ca8-45a5-8090-22575861836a
+ - true
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
+ -
+ 1325
+ 40914
+ 102
+ 64
+
+ -
+ 1359
+ 40946
+
+
+
+
+
+ - Arc or Circle to deconstruct
+ - 92c5daf5-dffc-4501-a22b-caac8255f2e0
+ - true
+ - Arc
+ - Arc
+ - false
+ - 7d21daa6-e3bb-4e45-90fa-09efc294f141
+ - 1
+
+
+
+
+ -
+ 1327
+ 40916
+ 20
+ 60
+
+ -
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+ 40946
+
+
+
+
+
+
+
+ - Base plane of arc or circle
+ - 8d74577b-2299-4a26-9dc6-de4152c11b59
+ - true
+ - Base Plane
+ - Base Plane
+ - false
+ - 0
+
+
+
+
+ -
+ 1371
+ 40916
+ 54
+ 20
+
+ -
+ 1398
+ 40926
+
+
+
+
+
+
+
+ - Radius of arc or circle
+ - 52671166-2396-4f2f-b2ec-00779d0869c3
+ - true
+ - Radius
+ - Radius
+ - false
+ - 0
+
+
+
+
+ -
+ 1371
+ 40936
+ 54
+ 20
+
+ -
+ 1398
+ 40946
+
+
+
+
+
+
+
+ - Angle domain (in radians) of arc
+ - 0f0b8253-0d3e-4e22-807f-9ea9b15a717b
+ - true
+ - Angle
+ - Angle
+ - false
+ - 0
+
+
+
+
+ -
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+ 40956
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+ -
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+
+
+
+
+
+
+
+
+
+
+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
+ - true
+ - f9625d92-55cf-4243-89f0-212ed0d1ceae
+ - true
+ - Geometry
+ - Geometry
+ - false
+ - 7d21daa6-e3bb-4e45-90fa-09efc294f141
+ - 1
+
+
+
+
+ -
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+ 50
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+
+ -
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+
+
+
+
+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - acfd823c-4237-4983-8ecf-1eaa6aed95fb
+ - Area
+ - Area
+
+
+
+
+ -
+ -1243
+ 41002
+ 118
+ 44
+
+ -
+ -1181
+ 41024
+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - fad38e99-6ea0-4067-af70-a61243b7c9e3
+ - Geometry
+ - Geometry
+ - false
+ - 404e67c5-9575-4e81-9ac9-dfc2f644e168
+ - 1
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+
+
+
+ -
+ -1241
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+ 40
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+ -
+ -1217
+ 41024
+
+
+
+
+
+
+
+ - Area of geometry
+ - aba0e7e6-5baf-4990-a927-0085e2ad1305
+ - Area
+ - Area
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+ - 0
+
+
+
+
+ -
+ -1169
+ 41004
+ 42
+ 20
+
+ -
+ -1148
+ 41014
+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - fdb01ddd-af76-468e-b786-5e28a96db020
+ - Centroid
+ - Centroid
+ - false
+ - 0
+
+
+
+
+ -
+ -1169
+ 41024
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+ -
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+ 41034
+
+
+
+
+
+
+
+
+
+
+
+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - 4e332801-6664-4e89-9bdf-a4259643fd3e
+ - Scale
+ - Scale
+
+
+
+
+ -
+ 292
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+ 126
+ 64
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+ -
+ 354
+ 40853
+
+
+
+
+
+ - Base geometry
+ - cc81f1fe-05ce-48d1-91ff-120a32ed6db7
+ - Geometry
+ - Geometry
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+ - 8a5811f8-fd88-483b-8940-c5e9ebae21b4
+ - 1
+
+
+
+
+ -
+ 294
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+ 48
+ 20
+
+ -
+ 318
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+
+
+
+
+
+
+
+ - Center of scaling
+ - 53729a09-f6df-4b6b-9713-408a6ec092d0
+ - Center
+ - Center
+ - false
+ - 0dcfab86-8171-465b-831c-79f9c0248370
+ - 1
+
+
+
+
+ -
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+
+
+
+
+ - 1
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+
+
+
+ - 1
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+
+
+
+
+ -
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+ 0
+ 0
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+
+
+
+
+
+
+
+
+
+
+ - Scaling factor
+ - fd0e4ed7-96f8-4fd7-ae2a-b883eb903a4f
+ - Factor
+ - Factor
+ - false
+ - ce084bc7-fb47-4ef1-a0f6-613e12e29dfd
+ - 1
+
+
+
+
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+
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+
+
+ - 1
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+
+
+
+ - 1
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+
+
+
+
+ - 0.33333333333333331
+
+
+
+
+
+
+
+
+
+
+ - Scaled geometry
+ - 33720e6e-76f1-4dfb-88f2-e7645a168cf0
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
+
+
+ -
+ 366
+ 40823
+ 50
+ 30
+
+ -
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+
+
+
+
+
+
+ - Transformation data
+ - db1d0210-7c41-48d6-bd6e-620141156b64
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
+
+
+ -
+ 366
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+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 269b873b-ebc6-4207-9b49-223350b9c8be
+ - Relay
+ - false
+ - 7de5772e-d034-4f55-85d2-9786559acd1d
+ - 1
+
+
+
+
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+ 40
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+ -
+ 383
+ 40763
+
+
+
+
+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 90bd6cf5-196c-4ea3-ba2e-4bad46bfb0e1
+ - Area
+ - Area
+
+
+
+
+ -
+ 61
+ 40858
+ 118
+ 44
+
+ -
+ 123
+ 40880
+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - 09f31e49-9a85-48bf-88c2-af41ed6cb270
+ - Geometry
+ - Geometry
+ - false
+ - 7aa55d68-efc9-4fed-8edb-c2a79b8d417d
+ - 1
+
+
+
+
+ -
+ 63
+ 40860
+ 48
+ 40
+
+ -
+ 87
+ 40880
+
+
+
+
+
+
+
+ - Area of geometry
+ - 349882f3-8865-4b97-b87c-4cc85d2e1ff9
+ - Area
+ - Area
+ - false
+ - 0
+
+
+
+
+ -
+ 135
+ 40860
+ 42
+ 20
+
+ -
+ 156
+ 40870
+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - 0dcfab86-8171-465b-831c-79f9c0248370
+ - Centroid
+ - Centroid
+ - false
+ - 0
+
+
+
+
+ -
+ 135
+ 40880
+ 42
+ 20
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+ -
+ 156
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+
+
+
+
+
+
+
+
+
+
+
+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - b7db49dc-5c72-4bc7-83ff-4d7289179d05
+ - Orient
+ - Orient
+
+
+
+
+ -
+ 517
+ 40899
+ 126
+ 64
+
+ -
+ 579
+ 40931
+
+
+
+
+
+ - Base geometry
+ - cfd45e2d-f248-4014-9a6a-fec9cba15e7b
+ - Geometry
+ - Geometry
+ - true
+ - 33720e6e-76f1-4dfb-88f2-e7645a168cf0
+ - 1
+
+
+
+
+ -
+ 519
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+ 48
+ 20
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+ -
+ 543
+ 40911
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+
+
+
+
+
+
+ - Initial plane
+ - f2def280-150d-44e2-8aad-a1d6aa619a7b
+ - Source
+ - Source
+ - false
+ - 0dcfab86-8171-465b-831c-79f9c0248370
+ - 1
+
+
+
+
+ -
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+
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+ - 1
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+
+ - 1
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+
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+ 1
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+ 1
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+
+
+
+
+
+
+
+
+
+
+ - Final plane
+ - aa05426a-3da5-4f95-b2f3-563b5608332a
+ - Target
+ - Target
+ - false
+ - 269b873b-ebc6-4207-9b49-223350b9c8be
+ - 1
+
+
+
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+ -
+ 519
+ 40941
+ 48
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+ 543
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+
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+ - 1
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+
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+ - 1
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+ 1
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+ 0
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+ 1
+ 0
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+
+
+
+
+
+
+
+
+
+
+ - Reoriented geometry
+ - fa1af039-fe9d-4544-ad95-251e761869df
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
+
+
+ -
+ 591
+ 40901
+ 50
+ 30
+
+ -
+ 616
+ 40916
+
+
+
+
+
+
+
+ - Transformation data
+ - 062e617d-7b05-4e49-b143-d77ef227cfb1
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
+
+
+ -
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+
+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 8a5811f8-fd88-483b-8940-c5e9ebae21b4
+ - Relay
+ - false
+ - 425b00db-968b-4d8f-9022-d178fb0b3bf0
+ - 1
+
+
+
+
+ -
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+ 16
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+ -
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+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 8c294771-ac4e-4d4c-8c37-37767e6ed5e8
+ - Relay
+ - false
+ - 5796c543-7457-43b1-a600-9035b81cd153
+ - 1
+
+
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+ -
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+ -143
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+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 619d1cbc-0235-4c9b-b2f0-3ab263bbf089
+ - Relay
+ - false
+ - 54470339-a5c2-481f-9cfe-f61bab04c131
+ - 1
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+
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+ -39
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+
+
+
+
+
+
+
+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - fc41bb7b-7882-48ad-9ed1-ca9cc000caf1
+ - Stream Filter
+ - Stream Filter
+
+
+
+
+ -
+ 79
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+ 77
+ 64
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+ -
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+
+
+
+
+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - bfdc7943-82b3-4033-bd25-14aef0b50a69
+ - Gate
+ - Gate
+ - false
+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
+ - 1
+
+
+
+
+ -
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+ - 1
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+
+
+
+ - 1
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+
+
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+
+ - 0
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+
+
+
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+
+
+
+
+
+ - 2
+ - Input stream at index 0
+ - 8e95ee39-84fc-414b-8b3e-4965548bcbdb
+ - false
+ - Stream 0
+ - 0
+ - true
+ - 619d1cbc-0235-4c9b-b2f0-3ab263bbf089
+ - 1
+
+
+
+
+ -
+ 81
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+ -
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+ 40969
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+
+
+
+
+
+
+ - 2
+ - Input stream at index 1
+ - 3754b399-865d-4fd2-bad1-6a0b67f7fe27
+ - false
+ - Stream 1
+ - 1
+ - true
+ - 3a1211b9-ca31-4902-b037-4644724b2c32
+ - 1
+
+
+
+
+ -
+ 81
+ 40979
+ 25
+ 20
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+ -
+ 93.5
+ 40989
+
+
+
+
+
+
+
+ - 2
+ - Filtered stream
+ - 7aa55d68-efc9-4fed-8edb-c2a79b8d417d
+ - false
+ - Stream
+ - S(1)
+ - false
+ - 0
+
+
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+
+ -
+ 130
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+ 142
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+
+
+
+
+
+
+
+
+
+
+
+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 4e00b814-9bfe-40ba-8b32-2153afa2b18f
+ - Stream Filter
+ - Stream Filter
+
+
+
+
+ -
+ 615
+ 40789
+ 77
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+ -
+ 654
+ 40821
+
+
+
+
+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - 361f002c-8c68-476e-b78c-db096d0d6e9d
+ - Gate
+ - Gate
+ - false
+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
+ - 1
+
+
+
+
+ -
+ 617
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+
+
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+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 0
+
+
+
+
+
+
+
+
+
+
+ - 2
+ - Input stream at index 0
+ - 5833773e-bb88-429e-b5f3-9a13fcacc3ce
+ - false
+ - Stream 0
+ - 0
+ - true
+ - fa1af039-fe9d-4544-ad95-251e761869df
+ - 1
+
+
+
+
+ -
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+ -
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+ 40821
+
+
+
+
+
+
+
+ - 2
+ - Input stream at index 1
+ - bd828de7-9fbe-4376-9fa2-da3930f97c10
+ - false
+ - Stream 1
+ - 1
+ - true
+ - 3a1211b9-ca31-4902-b037-4644724b2c32
+ - 1
+
+
+
+
+ -
+ 617
+ 40831
+ 25
+ 20
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+ -
+ 629.5
+ 40841
+
+
+
+
+
+
+
+ - 2
+ - Filtered stream
+ - 5f648998-eff9-4372-b7b2-9087af4976bf
+ - false
+ - Stream
+ - S(1)
+ - false
+ - 0
+
+
+
+
+ -
+ 666
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+ -
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+
+
+
+
+
+
+
+
+
+
+
+
+
+ - 57da07bd-ecab-415d-9d86-af36d7073abc
+ - Number Slider
+
+
+
+
+ - Numeric slider for single values
+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
+ - Number Slider
+ -
+ - false
+ - 0
+
+
+
+
+ -
+ -6573
+ 33356
+ 217
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+ -
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+
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+
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+ - 1
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+
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+
+
+
+
+
+ - 9c007a04-d0d9-48e4-9da3-9ba142bc4d46
+ - Subtraction
+
+
+
+
+ - Mathematical subtraction
+ - true
+ - 1f8d8e9f-01d0-430f-bd9e-b9dbcdf96ff8
+ - Subtraction
+ - Subtraction
+
+
+
+
+ -
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+ 85
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - First operand for subtraction
+ - 2b30c841-3c8a-45fb-9ba5-b8a3b0a3f777
+ - A
+ - A
+ - true
+ - 836e3902-96ce-4e64-aef0-8205ff5ee586
+ - 1
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+
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+ -
+ -743
+ 40898
+ 26
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+ -
+ -730
+ 40908
+
+
+
+
+
+
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 47c19bef-13ae-4697-91ad-83ef9aac87a8
+ - true
+ - Relay
+ - false
+ - 0a3e7abf-c462-4713-b3d0-184e01e1f603
+ - 1
+
+
+
+
+ -
+ 1024
+ 26468
+ 40
+ 16
+
+ -
+ 1044
+ 26476
+
+
+
+
+
+
+
+
+
+ - f31d8d7a-7536-4ac8-9c96-fde6ecda4d0a
+ - β―ββ―ββ―ββ―ββ―ββ―ββ―ββ―α΄Ι΄βββ£8βα΄Ι΄α΄₯ααααα΄Ι΄βα΄Ι΄ααααα΄₯β8β£ββα΄Ι΄β―α±α΄βααα΄₯βααβα΄₯ααβα±α΄β―α΄Ι΄βββ£8βα΄Ι΄α΄₯ααααα΄Ι΄βα΄Ι΄ααααα΄₯β8β£ββα΄Ι΄β―ββ―ββ―ββ―ββ―ββ―ββ―ββ―
+
+
+
+
+ -
+ 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+
+
+
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+
+
+
+
+
+
+
+
+
+ - 2
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+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - 8c6f6735-e1e7-43ce-9795-4342b393bb95
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
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+
+
+
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+ - Arc or Circle to deconstruct
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+ - Arc
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+
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+
+
+
+
+
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+ - Angle domain (in radians) of arc
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+ - Angle
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+ - Geometry
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+
+
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+ - Contains a collection of generic geometry
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+
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
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+ - Area
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+ - Brep, mesh or planar closed curve for area computation
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+ - Area centroid of geometry
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
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+ - 9019c64a-623c-41dd-aa8d-41858ef60362
+ - Scale
+ - Scale
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+ - Center
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+ - Scaling factor
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+
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+ - 2
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
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+
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+ - Brep, mesh or planar closed curve for area computation
+ - 7eff9941-8aeb-4fe0-9f1e-aca2a403ea17
+ - Geometry
+ - Geometry
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+ - Area of geometry
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+ - Area
+ - Area
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+ - Area centroid of geometry
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+ - Centroid
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+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 22ac03f8-3f4e-48bc-8938-a930c1ad8f5f
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+ - Orient
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+ - Source
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+ - Reoriented geometry
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+ - Filters a collection of input streams
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+
+
+
+ - Filters a collection of input streams
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+ - Gate
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+ - Mathematical subtraction
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+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
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+ - Contains a collection of generic geometry
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+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Scale an object uniformly in all directions.
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+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
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+
+ - 1
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+
+
+
+
+ - 9
+
+
+
+
+
+
+
+
+
+
+ - 2
+ -
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+ - true
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+
+
+
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+
+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - 5e2552a5-406c-4a10-abd5-1e7d3aa6e677
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
+ -
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+
+
+
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+ - Arc or Circle to deconstruct
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+ - Arc
+ - Arc
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+
+
+
+
+
+ - Base plane of arc or circle
+ - b3ab8c84-66e4-48c0-972b-5277d70c3d50
+ - Base Plane
+ - Base Plane
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+
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+
+
+
+
+
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+ - Radius of arc or circle
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+ - Radius
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+
+
+
+
+
+
+ - Angle domain (in radians) of arc
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+ - Angle
+ - Angle
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+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
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+ - Geometry
+ - Geometry
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+
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+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - e2b3d6b2-5498-4327-9452-3c2c5224b258
+ - Area
+ - Area
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+ - Brep, mesh or planar closed curve for area computation
+ - ac1714c1-cf92-4f11-8927-cd3940424fbf
+ - Geometry
+ - Geometry
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+ - Area
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+ - Area centroid of geometry
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+ - Centroid
+ - Centroid
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+ - 0
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+
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - ef120aeb-472a-489f-bcca-fad531ff24ae
+ - Scale
+ - Scale
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+
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+ - Base geometry
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+ - Geometry
+ - Geometry
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+
+
+
+
+
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+ - Center of scaling
+ - b4dc96bb-ca59-43f8-87c0-1451c900986c
+ - Center
+ - Center
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+ - cb42b9dd-47dd-4f55-ab3a-32b20a50a273
+ - 1
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+
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+
+
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+ 0
+ 0
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+
+
+
+
+
+
+
+
+
+
+ - Scaling factor
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+ - Factor
+ - Factor
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+ - 0.33333333333333331
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+
+
+
+
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+
+
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+ - Scaled geometry
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+ - Geometry
+ - Geometry
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+ - 0
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+
+
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+
+
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+ - Transformation data
+ - aa15182d-467f-49f3-a017-b87ab1e86459
+ - Transform
+ - Transform
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+ - 0
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+ -
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+
+
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+
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - fcd64084-c47d-4e16-adb0-d1f2b04e0364
+ - Relay
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+ - 1
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+
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+
+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 62aee602-283a-4453-b0ad-3b9bbeda1758
+ - Area
+ - Area
+
+
+
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+ -
+ 32
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+ 118
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+ -
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+ 29864
+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - dea3c4f1-a879-4e39-be5f-861d24209417
+ - Geometry
+ - Geometry
+ - false
+ - 795afbfc-b681-4b29-abdc-d0b9304efe05
+ - 1
+
+
+
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+ -
+ 34
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+ 58
+ 29864
+
+
+
+
+
+
+
+ - Area of geometry
+ - 8552263b-445c-4eff-8eb6-b6f2f17e50d1
+ - Area
+ - Area
+ - false
+ - 0
+
+
+
+
+ -
+ 106
+ 29844
+ 42
+ 20
+
+ -
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+ 29854
+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - cb42b9dd-47dd-4f55-ab3a-32b20a50a273
+ - Centroid
+ - Centroid
+ - false
+ - 0
+
+
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+ -
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+
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+
+
+
+
+
+
+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 90aea921-1772-4df0-818f-e787394a0bb2
+ - Orient
+ - Orient
+
+
+
+
+ -
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+ 64
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+ -
+ 550
+ 29915
+
+
+
+
+
+ - Base geometry
+ - 74091e3b-bcde-45cc-8811-92a3b62d9171
+ - Geometry
+ - Geometry
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+ - 2243ba90-af59-4f94-adaa-7f6fa1eac9a6
+ - 1
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+
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+
+ -
+ 490
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+
+
+
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+ - Initial plane
+ - 2d15ad73-2052-4f69-a850-0d1f140ed3a7
+ - Source
+ - Source
+ - false
+ - cb42b9dd-47dd-4f55-ab3a-32b20a50a273
+ - 1
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+
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+
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+ - Final plane
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+ - Target
+ - Target
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+
+
+
+
+
+
+
+ - Reoriented geometry
+ - b18b4841-be3a-40c2-af96-7a1c805d5c83
+ - Geometry
+ - Geometry
+ - false
+ - 0
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+
+
+
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+
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+ - Transformation data
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+ - Transform
+ - Transform
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
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+ - f66f4651-1c57-4376-9ca3-a2b5da8b2bf4
+ - Relay
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
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+ - 2
+ - A wire relay object
+ - 79628813-37e6-432d-be96-b0390522454b
+ - Relay
+ - false
+ - 0fa3087e-232c-43d1-8883-0c64bffc8177
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+
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
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+ - 2
+ - A wire relay object
+ - b0863b72-a043-45c9-8fd4-b3f249ca56a5
+ - Relay
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+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - c6f647d9-59ca-4b58-8375-b16f5661aeae
+ - Stream Filter
+ - Stream Filter
+
+
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
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+ - Gate
+ - Gate
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+ - b525a4d6-e9a1-46b6-8e1d-836319a1ceb1
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+ - Stream 0
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+ - false
+ - Stream 1
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+ - 1
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+
+
+
+
+
+
+ - 2
+ - Filtered stream
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+ - false
+ - Stream
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+
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+
+
+
+
+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 727deffc-eec5-4a5d-8e33-dca1b4cfb65e
+ - Stream Filter
+ - Stream Filter
+
+
+
+
+ -
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+ 77
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+
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - 29ceee93-d029-4b9d-b964-ffb0ce1296bf
+ - Gate
+ - Gate
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+
+
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+ - 2
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+ - 64cb6594-3a31-4bba-a75b-4598e2d05c5c
+ - false
+ - Stream 0
+ - 0
+ - true
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+ - false
+ - Stream 1
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+
+
+
+
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+
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+ - false
+ - Stream
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+ - 9c007a04-d0d9-48e4-9da3-9ba142bc4d46
+ - Subtraction
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+
+
+
+ - Mathematical subtraction
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+ - 6e9b4fdf-0909-49bb-b91c-38715daedad8
+ - Subtraction
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+ - 1
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+
+
+
+
+ - First operand for subtraction
+ - 434376ec-df06-4f0f-832b-1e950f4979f2
+ - A
+ - A
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+
+ - Second operand for subtraction
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+ - Grasshopper.Kernel.Types.GH_String
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+ - 2
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+
+
+
+
+
+
+
+
+
+ - Result of subtraction
+ - d52b5b05-ce25-4832-a9f6-8be967ba7e49
+ - Result
+ - Result
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+ - 1
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+
+
+
+
+ - 9
+
+
+
+
+
+
+
+
+
+
+ - 2
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+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - 7e3e0788-d3b1-4e08-8647-df51487f5aaf
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
+ -
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+
+
+
+
+ - Arc or Circle to deconstruct
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+ - Arc
+ - Arc
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+
+
+
+
+
+ - Base plane of arc or circle
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+ - Base Plane
+ - Base Plane
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+
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+
+
+
+
+
+
+ - Radius of arc or circle
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+ - Radius
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+
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+
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+
+
+
+
+
+
+
+ - Angle domain (in radians) of arc
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+ - Angle
+ - Angle
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+
+
+
+
+
+
+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
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+ - Geometry
+ - Geometry
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+
+
+
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 63c30c22-3ef6-4a06-a0c0-64fbbd4d42ca
+ - Area
+ - Area
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+
+
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+ - Brep, mesh or planar closed curve for area computation
+ - 8196c0aa-40dd-460e-b5ec-0cfe69a29576
+ - Geometry
+ - Geometry
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+ - Area of geometry
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+ - Area
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+
+
+
+
+
+
+ - Area centroid of geometry
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+ - Centroid
+ - Centroid
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+
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+
+
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - cda269e5-4d5f-4044-9211-26b3cb276ef0
+ - Scale
+ - Scale
+
+
+
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+ - Geometry
+ - Geometry
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+
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+
+
+
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+
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+ - Center of scaling
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+ - Center
+ - Center
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+
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+
+
+
+
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+
+ - Scaling factor
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+ - Factor
+ - Factor
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+ - 0.33333333333333331
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+
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+ - Scaled geometry
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+ - Geometry
+ - Geometry
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+ - Transformation data
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+ - Transform
+ - Transform
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+
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+
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+
+ - 2
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+ - Relay
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 70a3b2fc-e4ba-4498-87f0-ae55cc88847b
+ - Area
+ - Area
+
+
+
+
+ -
+ 102
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+ 118
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+ -
+ 164
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+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - f1580d68-a5b6-4ad4-a3b5-56edf6069a8b
+ - Geometry
+ - Geometry
+ - false
+ - 00b503f8-dd00-4017-8ce0-5c7d01312789
+ - 1
+
+
+
+
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+ 128
+ 37094
+
+
+
+
+
+
+
+ - Area of geometry
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+ - Area
+ - Area
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+ - 0
+
+
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+
+ -
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+ -
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+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - 5cfb4332-b655-4116-8bcb-ebbc5b5f47f9
+ - Centroid
+ - Centroid
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+
+
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+
+
+
+
+
+
+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 3f50ac23-139f-4849-a1f8-df496e8966b4
+ - Orient
+ - Orient
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+
+
+
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+
+
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+ - Base geometry
+ - 9f1c4939-a8c0-4dfe-83cb-8f0e23b823d6
+ - Geometry
+ - Geometry
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+ - 1
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+
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+
+
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+
+ - Initial plane
+ - e3c09173-9805-489f-9a5b-5d94b8e86d4d
+ - Source
+ - Source
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+ - Target
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+
+
+
+
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+ - Reoriented geometry
+ - e74f6aec-a96f-485b-8105-9262867c1e5f
+ - Geometry
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+ - Transformation data
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+ - Transform
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+
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+ - Relay
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
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+
+ - 2
+ - A wire relay object
+ - 24799d0d-bb18-4823-a2aa-b1686250e456
+ - Relay
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+ - 2
+ - A wire relay object
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+ - Relay
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+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 41a4b211-cc04-48a6-a493-5d5a54ce63d9
+ - Stream Filter
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+
+
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+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
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+ - Gate
+ - Gate
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+ - false
+ - Stream 0
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+ - false
+ - Stream 1
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+
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+
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+
+ - 2
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+ - false
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+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
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+ - Stream Filter
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+
+
+
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+
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
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+ - Gate
+ - Gate
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+ - ccddede7-f26d-4159-82ad-213838f3623b
+ - false
+ - Stream 0
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+ - b106efb2-a0ff-42b2-9611-68877c84c48e
+ - false
+ - Stream 1
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+
+
+
+
+
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+ - false
+ - Stream
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+
+
+
+ - Mathematical subtraction
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+
+
+
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+ - First operand for subtraction
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+ - A
+ - A
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+ - Grasshopper.Kernel.Types.GH_String
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+
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+ - Result of subtraction
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+
+
+
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+
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+
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+
+
+
+
+
+
+
+
+
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+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - cf8d5849-edd4-4ed2-8994-b0dae4e6ae95
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
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+
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+ - Arc
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+
+
+
+ - Base plane of arc or circle
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+
+
+
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+
+
+
+
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+ - Angle domain (in radians) of arc
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+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
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+
+
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+ - Contains a collection of generic geometry
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Brep, mesh or planar closed curve for area computation
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+ - Area centroid of geometry
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+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
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+ - Scale
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+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Geometry
+ - Geometry
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+ - Area of geometry
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+
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+ - Area centroid of geometry
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+ - Centroid
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+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 13250f28-e0b3-4921-884b-aed0782fc462
+ - Orient
+ - Orient
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+ - Source
+ - Source
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+ - Reoriented geometry
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+ - Filters a collection of input streams
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+ - Mathematical subtraction
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+ - A
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+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
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+ - Contains a collection of generic geometry
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+ - Solve area properties for breps, meshes and planar closed curves.
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+
+
+ - Scale an object uniformly in all directions.
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+
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+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Geometry
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+ - Orient
+
+
+
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+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 7425ad59-b5a4-43ab-b142-c69061f84eb2
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+ - Orient
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+ - Filters a collection of input streams
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+
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+
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+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
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+ - Deconstruct Arc
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+ - Contains a collection of generic geometry
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+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
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+
+
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+ - Scale an object uniformly in all directions.
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+
+
+
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+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
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+ - 466ac429-8421-40eb-97da-817faae2b7f7
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+ - 1
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+
+
+
+
+ - 9
+
+
+
+
+
+
+
+
+
+
+ - 2
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+ - true
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+
+
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+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - d6f2d903-3c0b-4ba1-93fe-2988521b38eb
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
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+
+
+
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+ - Arc or Circle to deconstruct
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+ - Arc
+ - Arc
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+
+
+
+
+
+ - Base plane of arc or circle
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+ - Base Plane
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+
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+
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+
+
+
+
+
+
+ - Radius of arc or circle
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+ - Radius
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+
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+
+
+
+
+
+
+ - Angle domain (in radians) of arc
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+ - Angle
+ - Angle
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+
+
+
+
+
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+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
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+ - Geometry
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+
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+
+
+
+
+
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
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+ - Area
+ - Area
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+
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+
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+ - Brep, mesh or planar closed curve for area computation
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+ - Geometry
+ - Geometry
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+ - Area
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+
+
+
+
+
+ - Area centroid of geometry
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+ - Centroid
+ - Centroid
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+
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+
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+
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - 3f78694d-5013-41d5-9cb5-ea186429a302
+ - Scale
+ - Scale
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+
+
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+ - Geometry
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+
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+
+
+
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+ - Center of scaling
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+ - Center
+ - Center
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+
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+
+
+
+
+
+
+
+
+
+
+ - Scaling factor
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+ - Factor
+ - Factor
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+ - 0.33333333333333331
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+
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+
+
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+
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+ - Scaled geometry
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+ - Geometry
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+ - Transformation data
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+ - Transform
+ - Transform
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+
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 5f4410b9-a030-464e-8033-ef4abc04cc5f
+ - Relay
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+
+
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - a8e975f1-7e1b-49a5-b984-b050fecc7b15
+ - Area
+ - Area
+
+
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+
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+ 118
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+ -
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+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - d1eb9cc0-0e65-440f-a31f-c7e8d7e531d2
+ - Geometry
+ - Geometry
+ - false
+ - 90ae4ef3-9de7-41fd-a6c9-4b3fa237d39c
+ - 1
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+
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+
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+
+
+
+
+
+
+ - Area of geometry
+ - b1602b46-7044-4c53-8cd5-5fb470795aff
+ - Area
+ - Area
+ - false
+ - 0
+
+
+
+
+ -
+ 101
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+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - a86aad7b-acf2-4f4d-8f1b-248c411179db
+ - Centroid
+ - Centroid
+ - false
+ - 0
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+
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+
+
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+
+
+
+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - e5bd9abd-b424-49ee-bf60-6dc17053733f
+ - Orient
+ - Orient
+
+
+
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+
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+ - Base geometry
+ - 19507e00-df23-4079-a7d8-504b3f4127f3
+ - Geometry
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+ - Initial plane
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+ - Source
+ - Source
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+ - a86aad7b-acf2-4f4d-8f1b-248c411179db
+ - 1
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+ - Final plane
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+ - Target
+ - Target
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+ - Reoriented geometry
+ - d5b5bd08-f406-4a7a-a327-db854f3d03f9
+ - Geometry
+ - Geometry
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+
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+ - Transformation data
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+ - Transform
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+
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+ - 2
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+ - Relay
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - c7c8b1d9-d088-4c46-89a8-dd1e7f2a9259
+ - Relay
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+ - 2
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+ - 9bd73eec-d959-4805-a400-9b6b76121591
+ - Relay
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+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 2a4f4072-e5d5-434c-8094-4429e3e5d71b
+ - Stream Filter
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+
+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - ec77ded4-c290-4e45-9929-4c623a971547
+ - Gate
+ - Gate
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+ - 1
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+ - false
+ - Stream 0
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+ - 2
+ - Input stream at index 1
+ - be99988f-a42b-4e0d-8018-2e0343925cf1
+ - false
+ - Stream 1
+ - 1
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+ - 1
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+
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+
+ - 2
+ - Filtered stream
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+ - false
+ - Stream
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+
+
+
+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 45306127-98a4-4a17-9f70-ae975c6f35f2
+ - Stream Filter
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+
+
+
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+
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - c2b2ea30-6316-42cb-a5f0-2938d32ee758
+ - Gate
+ - Gate
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+ - 71a4f4d1-b7f7-4a2a-aa42-8164f49a6456
+ - false
+ - Stream 0
+ - 0
+ - true
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+
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+ - 346b6e44-4dad-43d2-9379-f5a017b33dd2
+ - false
+ - Stream 1
+ - 1
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+ - 1
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+
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+
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+ - false
+ - Stream
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+ - 0
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+ - 9c007a04-d0d9-48e4-9da3-9ba142bc4d46
+ - Subtraction
+
+
+
+
+ - Mathematical subtraction
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+ - Subtraction
+ - Subtraction
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+ - 1
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+
+
+
+
+ - First operand for subtraction
+ - 8f14f69f-f970-450c-8054-ebcef17d4722
+ - A
+ - A
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+
+ - Second operand for subtraction
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+ - B
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+ - Grasshopper.Kernel.Types.GH_String
+ - false
+ - 3
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+
+
+
+
+
+
+
+
+
+ - Result of subtraction
+ - bd34c6f2-12a5-45bc-854f-a1f8bdc83c7d
+ - Result
+ - Result
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+
+
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+
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+
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+
+
+
+
+
+
+
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+
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+
+
+
+
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+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - f9f5ea0d-8851-405d-8582-61933f27d50b
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
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+
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+ - Contains a collection of generic geometry
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
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+
+
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+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Area centroid of geometry
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
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+ - Scale
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+ - Center
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
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+
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+ - 2
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+ - Relay
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Brep, mesh or planar closed curve for area computation
+ - cc4e1eee-22aa-4cf3-8315-556927ab2494
+ - Geometry
+ - Geometry
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+ - Area of geometry
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+ - Area centroid of geometry
+ - 462c24aa-a4b3-4e10-ae70-0cd9b9ea2c70
+ - Centroid
+ - Centroid
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+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 9b15c8f1-676c-47f7-89e0-013b56571f70
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+ - Orient
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+ - Reoriented geometry
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+ - Relay
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+ - Filters a collection of input streams
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+
+
+
+ - Filters a collection of input streams
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+ - Mathematical subtraction
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+ - A
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+ - Result of subtraction
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+ - Result
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+ - 1
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+
+
+
+
+ - 9
+
+
+
+
+
+
+
+
+
+
+ - 2
+ -
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+ - true
+ -
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+
+
+
+
+ -
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+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - 2a7aff20-9f73-4542-85f5-12c9f9bef8d5
+ - true
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
+ -
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+ 102
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+ -
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+
+
+
+
+
+ - Arc or Circle to deconstruct
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+ - true
+ - Arc
+ - Arc
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+ - 9af12f82-6ea4-4363-9bf2-685b0b3cc8f8
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+
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+
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+
+
+
+
+
+
+ - Base plane of arc or circle
+ - f8757f7f-7135-44dc-a595-ba7f583b616f
+ - true
+ - Base Plane
+ - Base Plane
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+ - 0
+
+
+
+
+ -
+ 1330
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+
+
+
+
+
+
+ - Radius of arc or circle
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+ - true
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+ - Radius
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+ - 0
+
+
+
+
+ -
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+ -
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+
+
+
+
+
+
+
+ - Angle domain (in radians) of arc
+ - 4706ce86-1935-4d36-ad0f-1a5c4a839fb7
+ - true
+ - Angle
+ - Angle
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+
+
+
+
+
+
+
+
+
+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
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+ - true
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+ - Geometry
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+
+
+
+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - c191dfb8-c9fc-4f5b-93ff-3798f12797ed
+ - Area
+ - Area
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+
+
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+ 36112
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+ -
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+
+
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+ - Brep, mesh or planar closed curve for area computation
+ - 8cd510de-aede-4f94-9c35-20162c9fc1eb
+ - Geometry
+ - Geometry
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+ - f6ada726-2e03-4c7a-b05f-1ab9ae66d1e4
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+
+
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+ - Area of geometry
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+ - Area
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+
+ -
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+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - 484ea945-6c31-438e-bf36-7db784760c2a
+ - Centroid
+ - Centroid
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+ - 0
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+
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+ -
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+
+
+
+
+
+
+
+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - efbcb5cf-7df1-4e26-9de8-cd1391cacef3
+ - Scale
+ - Scale
+
+
+
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+
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+ - Geometry
+ - Geometry
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+
+
+
+
+
+ - Center of scaling
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+ - Center
+ - Center
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+ - 22d3da11-d299-4be8-b4ff-50eb30fe6fde
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+
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+
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+
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+ 0
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+
+
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+
+
+
+
+
+
+
+ - Scaling factor
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+ - Factor
+ - Factor
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+
+
+ - 0.33333333333333331
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+
+
+
+
+
+
+
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+ - Scaled geometry
+ - 86e7a659-d628-4898-9c4d-0bf55bf0dd20
+ - Geometry
+ - Geometry
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+
+
+
+ -
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+
+
+
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+ - Transformation data
+ - f8de2e16-1abb-44c4-8d21-34dbe7f275bc
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
+
+
+ -
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+
+
+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 6ba554b1-61e0-4544-9c78-8199aa4d7199
+ - Relay
+ - false
+ - 18e3cab0-5bf2-45e3-8a19-8c8ac58bf1a0
+ - 1
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+
+
+
+
+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 7672edee-a14c-4da8-8b49-29f367dbb56f
+ - Area
+ - Area
+
+
+
+
+ -
+ 20
+ 35968
+ 118
+ 44
+
+ -
+ 82
+ 35990
+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - cb82ba6b-014b-4537-9233-3c099a64cbb0
+ - Geometry
+ - Geometry
+ - false
+ - ade54c8e-ef41-43f6-840f-721a6e32f9cc
+ - 1
+
+
+
+
+ -
+ 22
+ 35970
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+ -
+ 46
+ 35990
+
+
+
+
+
+
+
+ - Area of geometry
+ - 82da87bd-d571-4515-bffb-5b686d8d3013
+ - Area
+ - Area
+ - false
+ - 0
+
+
+
+
+ -
+ 94
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+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - 22d3da11-d299-4be8-b4ff-50eb30fe6fde
+ - Centroid
+ - Centroid
+ - false
+ - 0
+
+
+
+
+ -
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+
+
+
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+
+
+
+
+
+
+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 65cd6094-3e67-4d20-bd63-d36441f6fbef
+ - Orient
+ - Orient
+
+
+
+
+ -
+ 476
+ 36009
+ 126
+ 64
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+ -
+ 538
+ 36041
+
+
+
+
+
+ - Base geometry
+ - 05ef8b6e-28d4-4e45-84bf-7a213b1e289e
+ - Geometry
+ - Geometry
+ - true
+ - 86e7a659-d628-4898-9c4d-0bf55bf0dd20
+ - 1
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+
+
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+
+ - Initial plane
+ - 44d91ac1-941d-4bdb-87fd-192871a747e0
+ - Source
+ - Source
+ - false
+ - 22d3da11-d299-4be8-b4ff-50eb30fe6fde
+ - 1
+
+
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+
+
+
+
+
+
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+ - Final plane
+ - ef17f7e6-953f-40fb-8ecc-6ad151b8a8c1
+ - Target
+ - Target
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+ - 6ba554b1-61e0-4544-9c78-8199aa4d7199
+ - 1
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+
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+
+
+
+
+
+
+
+
+ - Reoriented geometry
+ - d455e7ce-05e3-4d9a-8c26-538746bbc42c
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
+
+
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+
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+
+
+
+ - Transformation data
+ - 26f7569a-d0aa-43aa-965a-86e736ffc39d
+ - Transform
+ - Transform
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - f5b7abbe-3eec-4ca7-8983-2da53e57d7c0
+ - Relay
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+ - 1
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+
+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - f30a96f5-2276-41e2-808d-a9444ac70e53
+ - Relay
+ - false
+ - a01483b3-d656-4849-bc47-2599170c74df
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+
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+
+
+
+
+
+
+
+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - a9c6b040-3497-4138-bc5d-ed7c820b9bb2
+ - Relay
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+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 4cef7cd8-af66-4c7c-9c23-071ebb19542a
+ - Stream Filter
+ - Stream Filter
+
+
+
+
+ -
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+
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - 8f0b5bdf-1181-4438-98b4-220ad26ff1c4
+ - Gate
+ - Gate
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+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
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+
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+
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+
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+ - 2
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+ - af07ed7f-6f61-4aff-bc84-5d32cfa33706
+ - false
+ - Stream 0
+ - 0
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+
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+ - 2
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+ - 85e3ca9c-b08b-4355-a6ff-90d9e2b06e76
+ - false
+ - Stream 1
+ - 1
+ - true
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+ - 1
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+
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+
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+
+
+
+
+
+
+ - 2
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+ - false
+ - Stream
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+
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+
+
+
+
+
+
+
+
+
+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 762ac515-5927-4fb9-9789-f83ca8746423
+ - Stream Filter
+ - Stream Filter
+
+
+
+
+ -
+ 574
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+ 77
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+
+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - eb44f62b-9192-4e27-bef3-29ae495b0e98
+ - Gate
+ - Gate
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+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
+ - 1
+
+
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+
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+
+
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+
+ - 2
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+ - 671671a7-d0c7-4561-b7e9-68e2aa01c706
+ - false
+ - Stream 0
+ - 0
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+ - d455e7ce-05e3-4d9a-8c26-538746bbc42c
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+
+
+
+
+
+
+ - 2
+ - Input stream at index 1
+ - ae43c750-30cb-43ee-b79a-a38b66e0cd33
+ - false
+ - Stream 1
+ - 1
+ - true
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+ - 1
+
+
+
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+
+
+
+
+
+
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+ - false
+ - Stream
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+
+ - 9c007a04-d0d9-48e4-9da3-9ba142bc4d46
+ - Subtraction
+
+
+
+
+ - Mathematical subtraction
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+ - b757a83a-663b-491c-9cd2-20bf3783e401
+ - Subtraction
+ - Subtraction
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+ - 1
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+
+
+
+
+ - First operand for subtraction
+ - b8753c55-a248-4732-96e7-3b27ae7faf5b
+ - A
+ - A
+ - true
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+
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+ - B
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+
+ - Grasshopper.Kernel.Types.GH_String
+ - false
+ - 3
+
+
+
+
+
+
+
+
+
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+ - 1
+
+
+
+
+ - 1
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+
+
+
+
+ - 9
+
+
+
+
+
+
+
+
+
+
+ - 2
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+
+
+
+
+
+
+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - c76890da-1573-4b95-b3b2-d5b8781a0346
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
+
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+
+
+
+
+ - Arc or Circle to deconstruct
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+ - Arc
+ - Arc
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+
+
+
+
+
+ - Base plane of arc or circle
+ - c8b94e66-7ab7-4499-9f5d-7219f7df70ad
+ - Base Plane
+ - Base Plane
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+
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+
+
+
+
+
+
+ - Radius of arc or circle
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+ - Radius
+ - Radius
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+
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+
+
+
+
+
+
+
+ - Angle domain (in radians) of arc
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+ - Angle
+ - Angle
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+
+
+
+
+
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+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
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+ - Geometry
+ - Geometry
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+
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+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 390b9ae3-cc47-4a20-b374-3dd787921d46
+ - Area
+ - Area
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+
+
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+
+
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+ - Brep, mesh or planar closed curve for area computation
+ - d239d381-e92d-4d1f-9123-3b81f916faea
+ - Geometry
+ - Geometry
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+ - Area of geometry
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+
+
+
+
+
+
+ - Area centroid of geometry
+ - f1df87c3-0705-4c59-9774-a0bac4cf31c5
+ - Centroid
+ - Centroid
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+
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+
+
+
+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - 31bfc946-2266-4359-a855-467873cf8987
+ - Scale
+ - Scale
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+
+
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+ - Base geometry
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+ - Geometry
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+
+
+
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+
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+ - Center of scaling
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+ - Center
+ - Center
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+
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+ 0
+ 0
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+
+
+
+
+
+
+
+
+
+
+ - Scaling factor
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+ - Factor
+ - Factor
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+ - 0.33333333333333331
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+
+
+
+
+
+
+
+
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+ - Scaled geometry
+ - 0cd7c906-fc5b-4b92-a107-0f41cd59121a
+ - Geometry
+ - Geometry
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+ - 0
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+
+
+
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+ - Transformation data
+ - c74d8490-3164-4e85-b648-177d9d4cda44
+ - Transform
+ - Transform
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+ - 0
+
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+
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+
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 1da5a400-9b42-4976-8d40-4418bd2fed31
+ - Relay
+ - false
+ - aad7eac2-b9c1-480d-b435-766ac258ef35
+ - 1
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+
+
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+
+
+
+
+
+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
+ - 03af53ee-ff04-4af9-87aa-15500e2298aa
+ - Area
+ - Area
+
+
+
+
+ -
+ 119
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+ 118
+ 44
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+ -
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+ 38363
+
+
+
+
+
+ - Brep, mesh or planar closed curve for area computation
+ - a986462d-1a4d-4be9-bbb0-4a4f8e609929
+ - Geometry
+ - Geometry
+ - false
+ - c695ee5e-a9a6-41f1-be96-1b8084e56dee
+ - 1
+
+
+
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+ -
+ 145
+ 38363
+
+
+
+
+
+
+
+ - Area of geometry
+ - 23d0a62c-c9d4-406b-ab9e-7a48811f64f8
+ - Area
+ - Area
+ - false
+ - 0
+
+
+
+
+ -
+ 193
+ 38343
+ 42
+ 20
+
+ -
+ 214
+ 38353
+
+
+
+
+
+
+
+ - Area centroid of geometry
+ - a7fc23b9-d780-4446-b219-fd493fba0376
+ - Centroid
+ - Centroid
+ - false
+ - 0
+
+
+
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+
+
+
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+
+
+
+
+
+
+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 64a4a112-7e92-440f-95d6-0eb9a6cea14f
+ - Orient
+ - Orient
+
+
+
+
+ -
+ 575
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+ 126
+ 64
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+ -
+ 637
+ 38414
+
+
+
+
+
+ - Base geometry
+ - e848044b-1d05-47a2-8062-1db2e25c2bdb
+ - Geometry
+ - Geometry
+ - true
+ - 0cd7c906-fc5b-4b92-a107-0f41cd59121a
+ - 1
+
+
+
+
+ -
+ 577
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+ 48
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+ 601
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+
+
+
+
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+
+ - Initial plane
+ - 646373c1-f31b-4437-b51e-e58d945ebef5
+ - Source
+ - Source
+ - false
+ - a7fc23b9-d780-4446-b219-fd493fba0376
+ - 1
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+ - Final plane
+ - def4e135-939e-434a-8590-361fa6dd571e
+ - Target
+ - Target
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+ - 1da5a400-9b42-4976-8d40-4418bd2fed31
+ - 1
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+
+
+
+
+
+
+
+
+ - Reoriented geometry
+ - a10e10bd-58bc-4c79-b418-3c536f9ef25f
+ - Geometry
+ - Geometry
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+ - 0
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+
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+
+ -
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+ - Transformation data
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+ - Transform
+ - Transform
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
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+ - 2
+ - A wire relay object
+ - 48721c28-78bd-4676-b31f-a9fdf625baf1
+ - Relay
+ - false
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
+
+
+
+ - 2
+ - A wire relay object
+ - 6fd0b02f-265c-496c-88a6-538665bc5bbd
+ - Relay
+ - false
+ - 70ec9a48-5ab1-4510-8881-dba91c4ecada
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+ - b6236720-8d88-4289-93c3-ac4c99f9b97b
+ - Relay
+
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+
+ - 2
+ - A wire relay object
+ - 522186bb-4f6f-41e9-ac00-11d9d23461b7
+ - Relay
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+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
+ - true
+ - 4b9c6413-e60c-4f8b-ac58-e1989f61f8e2
+ - Stream Filter
+ - Stream Filter
+
+
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+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - 51daa0fe-e5d1-4d72-b6ea-a595dfd220e5
+ - Gate
+ - Gate
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+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
+ - 1
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+ - 2
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+ - 782f43d3-6231-43b5-8a42-6ccd811ead44
+ - false
+ - Stream 0
+ - 0
+ - true
+ - 522186bb-4f6f-41e9-ac00-11d9d23461b7
+ - 1
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+ - 2
+ - Input stream at index 1
+ - 1a02a499-eb0d-4890-97e1-d37e3ed8ccb1
+ - false
+ - Stream 1
+ - 1
+ - true
+ - 6d6412c7-f903-455c-b3ad-7b6f07b45b55
+ - 1
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+ 38472
+
+
+
+
+
+
+
+ - 2
+ - Filtered stream
+ - c695ee5e-a9a6-41f1-be96-1b8084e56dee
+ - false
+ - Stream
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+ - 0
+
+
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+
+
+
+
+
+
+
+
+
+
+ - eeafc956-268e-461d-8e73-ee05c6f72c01
+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
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+ - 4eb32789-ded0-4cd5-9efc-234dbd2a460a
+ - Stream Filter
+ - Stream Filter
+
+
+
+
+ -
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+
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Index of Gate stream
+ - 2b284b7c-1273-44b9-ade6-1433d0867d66
+ - Gate
+ - Gate
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+ - 64a0e6fa-e009-41b4-a5fc-77def20d6577
+ - 1
+
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+ - da355535-d09a-4ef0-9cc8-abf71b2d632a
+ - false
+ - Stream 0
+ - 0
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+ - 5331f11b-703b-476e-a54d-14e4cf6d12a3
+ - false
+ - Stream 1
+ - 1
+ - true
+ - 6d6412c7-f903-455c-b3ad-7b6f07b45b55
+ - 1
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+
+
+
+
+
+
+
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+ - false
+ - Stream
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+ - 0
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+ - 9c007a04-d0d9-48e4-9da3-9ba142bc4d46
+ - Subtraction
+
+
+
+
+ - Mathematical subtraction
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+ - 90b2b93d-c2ed-451a-ad9f-fd25f241e5fd
+ - Subtraction
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+ - 1
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+
+
+
+
+ - First operand for subtraction
+ - 556b62bc-304d-42a2-b9f3-0fb6101c34bf
+ - A
+ - A
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+ - B
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+ - Grasshopper.Kernel.Types.GH_String
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+
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+
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+
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+ - Result of subtraction
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+ - Result
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+
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+
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+
+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - a3f79e21-b518-4e1b-a017-33909333d881
+ - Deconstruct Arc
+ - Deconstruct Arc
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+
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+
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+
+
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+
+
+
+
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+ - Angle domain (in radians) of arc
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+
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+ - Contains a collection of generic geometry
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
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+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
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+ - Area
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+
+
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+ - Solve area properties for breps, meshes and planar closed curves.
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+ - Brep, mesh or planar closed curve for area computation
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+ - Geometry
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+ - Area of geometry
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+ - Area centroid of geometry
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+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - c6eeaeda-edcf-4ece-8670-7de40fe764ca
+ - Orient
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+ - Filters a collection of input streams
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+
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+
+
+
+
+
+
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+
+
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+
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+
+
+
+
+
+ - 23862862-049a-40be-b558-2418aacbd916
+ - Deconstruct Arc
+
+
+
+
+ - Retrieve the base plane, radius and angle domain of an arc.
+ - true
+ - a03129d9-431b-44b5-a6e2-ce81ba3262b6
+ - Deconstruct Arc
+ - Deconstruct Arc
+
+
+
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+
+
+
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+ - Angle domain (in radians) of arc
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+ - Angle
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+ - Geometry
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+
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+ - Contains a collection of generic geometry
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
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+ - Area centroid of geometry
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+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
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+ - Scale
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+ - Center
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+
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+ - 2
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+ - 2e205f24-9279-47b2-b414-d06dcd0b21a7
+ - Area
+
+
+
+
+ - Solve area properties for breps, meshes and planar closed curves.
+ - true
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+
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+ - Brep, mesh or planar closed curve for area computation
+ - e644069f-c15b-42ba-af66-06a4f11bef1e
+ - Geometry
+ - Geometry
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+ - d3f23eb6-3ee0-4172-8c52-7f81f0e59705
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+
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+ - Area of geometry
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+ - Area
+ - Area
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+
+
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+ - Area centroid of geometry
+ - 1c05cd13-66d5-40f6-b8c0-8792a492e94c
+ - Centroid
+ - Centroid
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+ - 378d0690-9da0-4dd1-ab16-1d15246e7c22
+ - Orient
+
+
+
+
+ - Orient an object. Orientation is sometimes called a 'ChangeBasis tranformation'. It allows for remapping of geometry from one axis-system to another.
+ - true
+ - 2c6380b5-677f-4f4f-ac41-877e3be6ae26
+ - Orient
+ - Orient
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+
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+ - Base geometry
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+ - Geometry
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+ - Source
+ - Source
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+ - Reoriented geometry
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+ - Relay
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+ - 2
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+ - Filters a collection of input streams
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+
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+ - Stream Filter
+
+
+
+
+ - Filters a collection of input streams
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+
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+ - Mathematical subtraction
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7X0HXFNX+/9FEFFEceO+VaqoiCC24mohCXtIEa1aq4bkAqkhSTMUrLa4ca+qOMHVghMn4qRatyLuiSIuHFXUWq2L/zn33kByV5ImAXz/Pz9v34+ec3PuPd9nnuc85zkOArlIk4DJ1KXgjw2CINXBf3UUUk2cRDZsJKZUSeQy2BUJmmE3/FMDPqL9XRAmFGNK+Eh1sruWtitYAJtrgqbI2m3kpQnZobvq2b/49uC9qzUildhICTYK9tcC/fb94sEo4rpkczimio9OUmCw25Z8sRPZFyFXJgilsMcVtJ45cwbV/qofJsVEakys7Tt69GhpQwEWK5FJ1GAWkUq5AlOqJZhKOyz8z04gVOPvcQD/aDk4s8vCqAIHRwGmEiklCjU5efiJiF2EMAHT/ut2tYFBj+ZneNxetOX2ou1FGcvJv0xbcXvunNtzFxD/D/9JeWD2pqLZG4vmTyzasbho2WqyMXMx2b5D+5fMxWTXstWwETxPtk+B/0xZcTAbtIH/y1iu/VvKCtgD+okHl5T/nRwpa7HeJ4DeJYtNHfW/frepMHkEBg2sGQWoCtlPpWVN+MdJ28qXawimtdWyHSDwD4ABSJpVI5vto4XKOAx/shX45+6XpaUbuwBqDpbLE7Rc+zSk+OvqAwAL6b2qJmyhvaZmlEgRJkySa9S6z9YKVMo1CtrDtQOD/MIkMUqhkmQ7rYRV13sUttQgnkvCWU377X4adbxcWcaC1YLFWon62Om+g9/NvKCsDmOyHtwRROlxZ93A+Mgk8EsZ2g9n4xoDygUZ9tt6enhp3we/yJ58n7OfSoUlxEiTAjRSqe6AvnyNciQWKdWo3FFyrD5eHt09PD083VG+RqrWKLE+MkyjVgql7mikJkYqEYViSdHyEZisjwwMVlc7MuVLapCjUGZaSyAcKRGj4UKZSmfOmR/HrW88c3PY5qntvzwy/GWC3pxrln0idbbad2hnXM2YGftFamJjMWWsRBVfPmVvOIzZUyZHoUzZKVwiihdiUjRSmSRX6sx6ZfHyFsO8BoRttp8t+Vhca7TerGuVfyZt2uR7tNO2NWbavCBMjQFFCf5PWD5vTwCgt9nzJkehzLuZX4JEhvKE8UphgsQdRYMwqUQOmFYhxXRAKDyxz6FbfkHQSn/XzPcvz5fqgeCo89FUFOy7e3h1Led2O2NA6B8qlMUJlXJ5V748QSGXAVNWjkVXjy+Mw6J7j27iHl7ePXp4izxjfbqKWXEhR6TgUlsglEkgO0hGYLrsMFTy6GDNZjx5u4R63VKnpA3XQ6Jh2ZejZZ9Ok4fq+AvrlVvGvjFQb5bpp68hpESbnpaC7fZEO66MSMNsF9i/3NA3is3ZvOTwcf9lG4pGn2wxJl3v62r4JyqkcjFWky+XqYUSWbnbAP9jMrrtyF+gQlQExRuVyNRyVAUcACmmRFVYHHQzVB72QRKxGJNpJ2BTO1imUgtlIixQIykDLgb9cWTXOmK/RVeHn95q+9eXjJ/mECERjWDqqOWnVislMRo1ocfLrAsPICTGm9rCf6OHBIjb2cOgg48gnrzqkZKRchzA1vjjpwRIYv5hR4UQMPswiUyhwZGsQSLJhIAzrtZQMGuM+BDGue0IXC35/foU3wn11NKQ6o699eZWHR+CNjOyuS/+OsKjwq2ZfT+5RinCcFsH/tsT1jnV9dKu4Ow6PXeisxbaOhLdepwBf2ckQMMBQC4QIDEPQdL9KACVHBEgx/QB0tqnaiwAfRGFAdZQSQBIYkwEmV6FMzUKvk8iRQGnlPEJKlQCTlLLEyQiRhQvPuJlu0Uo+Dmrpm6uHtJ8hL59KXsPDUmdLhqaTHAhpsEFOIYDLrf8w3UioYCr1GCOwJsVlokBQvUzcCx5SjDveF0Jpj9kFylUx5d5Cz95jrULVmMJCKKzBoiRy6WYUEfmCJoBv4jC1fZ+IhGmUukOz0THzqSgicvJpY4XqtEE4QgM1SjAPzA0RqjCCEXASL/B97Ghg0fYCmaUyv8ILN3URo9+Dv3IYWnkK++xNPWST5PMLmCi3px8nNn1gLMxHbjPBsBVDXgSlcfiKGFUIBnBCtp07dwz9+e8CcjxlWuO1rXTB0s7Jh2ssh5rgIWzOitYgNVJ+2ODsNifZ80eFPx16Tffzakj7FWpvcfr+wkRGmWMCsX1Ht0G1WDB1x08qVIrNSI1sEIyfATCFsUq5QmoCAyjlEtRhVxitCWyXax5uPbA8rBlv9w7EXrpXjjrR9LQ1+00ElYEaJA3Vw9DBxlgTLVI6SdB7xWaRXIwjQUbEkZKHwvGqWflLjk3NMCZl/K1V3TL/Ayx+VxHMVf5X7vWzL7vHfF7i4+aoxkLfMw0V74AvWKI3hAmpswC+jf1qknmqjYBlRiLU2LMWmxUjxUvJqyv3vdXt1H86NzkI3oQ2QvwH9IA0rZbWijh/IM45w+4pzLsj71MkxBDCG8ZZ+qQQbvGYyMD/GSJXCwRcZiTzdlfuHqr6gTM2Jiy645Hr0n6vKodgM6rZT3WIEbGFS5iDKwcYhjvDDDRolEUpgJrKYksTle9MpIkx/nR08/TpKE7hmYePzzkkkuNcKFCAX6o97lm+L5mEgg9TWqLgUwESj6DawuavbfnwIZUF1JMFqeOZ4Tkxym7+ny3eSRvWp3H4nc/ba6hry7C8B/S1QXZbg0AgjgBAOpCD4BqxgEglicAY80IQMGdJ14JizP6Jp/aENiiRYPzFH2J/5BBXxLt1gAAF1FWAICIkk5MNYTFidn6brNsnnczwaQBnf9ot26qs35sj68BSxqBRiGViITga/QdGXsSTgf4VDjwAvUUJAO+nvhwhMUmHG64SBKBf4skwJFRo6Mk6niJDCxAwYobQm+Uh5OE3Iq++yaAnzzhqFf4sq8zOWdAIw71AWPVY64AGX4ZYN+NydNBgQM5/JLZnk4kiZQchbsJ4OtQOTNb+mdHHGyYtC3wQLvuO0//tHaHPlsSw9DZkmw35OVkH3Cqo/BJ4E3u8fmM+bKWKWZ6OckAuUiIXBHg2hKa631UgFy5ZJKX0yJSKU+UJEjUSeWMg4olBEqMcO36YZAqbHRc6ORLxxQeP2fu1l97R2sHoa+9y7ssviDJxTmGA5Xii5Xt+2hjmQhS+JW5K3AnKHZg2cjhvlO9a/OY2kz6pJ8lubYFk651viBAkMtmr66bBcvEWCKaIFTA5bXIIEJXmub6TTxV7L/eyXF7z+8u/qkfZQSDMa5vyjqsgVHWJS6MAIfTDLKJGHWPwPkRAoRrB605UWIKJaYCkgEgiwGaIF6iQomXEE8wAtg8Rfqi34tXQZs6ni4cNhGR6gM4QAhcIQY1UNZhDQCdOQHMvag16LYIi0FvE/pn54IttQJ+txPHXHrovFBvTg0ID4cvlaswlRrFhYUenbBnwb5NgEQmxsM+InIAHFpglbQxc+NiEurx7wc+bd8kYu/Ibs9ntRniYfATaSRgeshIkHPBwibrDgD5DY/BcvueBL1FJkXNm+Nvh1ZaQWwKAzzAP9gXFi+rT1y40u9+wLYTy91r8ENW6y8imCdMNhuy1V7txhyXeHYW7M+7cGNL2vAsM2018qcASYdY+TBZpUJgldzu0Gy1AwdWjcp2GHSxYkQpo2lMfB/1mcBN3b+9++h3dIull18U5KirPQsgB/iIAzmfosM0I8q1OHGP1MoaLoBEEIzkf4BnWciaXdthq//p+X1Cul9akxJ+97wHv5nDd2ZqutxTJGMFMWm6QrB0ibxj2uK1YyR8GO7NQohEOgs53Jbq6itGcDSv7j2Lji8MWXPK9WcnhzVr9H3CssHpPmF5lzVAQjhByioybYH7uYB0i9EYTD0Kw2Q6LIMKgW5nV1qzM8+hucNHhf/6Wd7M+q0XdNQPUGnHpQeoynqsgc7wIi50nIu0xhLuxDMaS9dhqEfSvK2B2xvmJ5x2/Ox3vVnZ+SkxId062rGA69dPLgVMB5a0QqjdyPwvNFauRGOAd6JyRxMwVTxogUArpEKZUEnwJQm7kQH9oJs91w+QtYpILUjKGjEjLZz+yTQi4K3GLkSA4nK5DWB9wmPYVPYFoMcXmmQev+SByRNzRwEUDBPHIcJhg1uqGrUQ/pxx7tI+xTU1j1v3ndqn3auJH2Lm6jNhICYHgqhMojNhWY8hK4COeHMqMaKUN33tN0d7FRbxzbQCuQBMBwimLwATpYKZexQH0yQr4AxJCTVaHDklRpySP0/ZUq3HyuDlJ2aMneAh2WAsj1heSE+TALgxCenwfAGyq9A0Pd8UB0CEwd0fidggEs97v/jGe+6koC01R4xZ99DPQZ9j+OQwdI4p67EGIoDoHIi4FGrVVnU2tdWza8OzT++L/X4dcfdE7dtD3+qnafElSpEUOMcRUcYnv3zBB7Cq8dwX4tdimLFDrKUg2JjSHZXh2bC4+lIKxRKNkQpr38f+009/VTti/pPSusOTBrVh+1gaEXT6TJC3oPsA3GtMvj0CA8b3WKNyzBFhfO4cfkOtNafdbZcF8jcO/lkett0ZM+im2hND0iMXZHtFu/iHgSsKIYtk4kff4wKk+B6ji88WjmtJJE2jIwEDy/F1OslRUPMz+xYPB8zMbd/4V9+9ufnDvpl+aLVhDIl30DEk2w1h2Pzkqd2/n2jPT09YIdq09+JCC2CYeo8LQ8B2lRK8I4gAn/FG2P6UfE3dzOQir3MULvrldGWkaPtjfffc9lD6ZnzVe/2M0wH3DFOUGJZOUbLdEEWp7qkFKPrmLhdFM+5WnXBsydem+RDle6AcJLzbp9fqJ62j+s7rfr5j7m/FEooSw3/IoMSIdouHx/NILVXshyAKqmKPzMcljLSa2r0CmtVc9qTxQMXzQWEbBF8KbEonnqYElHHH1HiL2TwaLiiFOi4s4dpK1EnG2cXl7f+cj7S4EZhSMnblphkHdzF9DkN8G283docQsDF6C8CWx2QP00+A3psmOfP1yjNERwqlGuAxME5t6cxHI/r2OhOciraLuXdhs03VjdMMBwg5Q4RKmBjL9yiOkEnSVT9SywZEEJ9tQf1wmuuUJS3XhS/aVxLf7qP3S1PIb/mt5FMkDN0YUz+B9OXeNM1PdyQ4hd3oU20wJRoFf8cQjcKbrTF7xU2u2VOZwFCgpZkAGynB17Fk5p4BMGb5rhyV2ve135a//+n39qjooX70qWwwevSpvMsaoOQXcIGSXKBVuVBllNkwXZX79e3tFz+btIy3In+e34eve8fZhklitH2cp4qcCPYRSFQAtCR9rQwDMGxBmFb9MLU2OCqXAqUMUwrgbpBohAxTMW+jtc2ZN9V/SuO+v13kJQ05e3QWx4fQCKDfbewyBSidlBsA2t2MavkM6L1ubPIAa9JZGPBMyjQQ88SfP4u1bRU83nfp8/4F+1ZsdaOYePyHDCaeaKfymw1FUVMTpM31yI4IkESI2XjGvTFgytxumJQ2UDOakyncR9QNV41dHjTxSstB6h0bplJyBLS/ZcgRKOuiIWSmREIIrlznggCwTRVySk3JkQSvBdLKSIlLcaKrOc7eARtvvbp8M3HYHoozAX/H4EzgzdaggA8nBYqvVQoFquPKDj4CDyNPcASEIDQz1BqfrmYumXDjlq3dsoApdrW3bHDcH1ghmtnnEZdm9nlYEZr5Y65Tg2j/p74bu9aa1nFyX8yimvluMR/b69HDb2v/GJcd7/cNtIBmdnvEJRRXHlpSM4+99uvC4ynNeLvPx6Z8bJPVoYpo5pSHXBAAtvnf08yJ6b90LBDfCx//93c+cySu0krWzMXFXBRILa4CmnnM34hWM9dEWMIUJw922vBOcTF8WeLPrTJ/KUpk3uTSV7xcMewO5JMqGKyQS6VE2QJi5wT8XCIq20ExKmxB1R4W34OzyfFf2u6pf9i+NxvnByrfLjd3hX9MgGQ8IPeJcymccX75ScFt/gPtOqYWG03QuLY7U2ZO5c0/tCFs8b85P+lzehRGs4Qm2oQGfsAcKjFUCUdC5fjHMKKvyE+Wpdo1DknfcOjR7M1nlzJ8CA16xCDklrYIxwVI5OPDcMsTWFFaYvpJAeL8WAu5Y5WHnHoo2TKQz95aevXai/2BOyMVBzu39J9pAcg9z3BBXpKnhbw2wuITOrxKbdC997O+EyauWn70xw8Buj4hZz2MRjDsq0mAGMdgYjRSLk2Kk8vopwXYYqmt/QAZ4jRSmBigN5KCGMkoxeRa+H1ktTPOIfvn3Ugb1DTzgX2YXDSCqNCD/8iIL6bRkfkxY2mSC1B/A2jSg48gq6jOJNzqzXjNGH1lY9n65PvJrB3WaNLTF+O3f+w/j79n8vuW/YJs5nIiYVqozVw7Dc9NFEJMHgE+bUjFBOa5h72pHDuNwwkfCUIM/Sn52th+qtvLRd1e0fHl5xaIsCGe6UfsQJMpfgkSMYqJ4zDt+WtSQBjZ4NaqVRnBJbdCJ4w6OjjXfQbGyQambsBZghF2vSYZgX4CG6bGvK46LnOhSXukX0NKysry1FUScfmBea2eIwnngYZrwGowBlBWDoyROl4oQ7syUnOS08c5bpMm9F3osGz+ZxMPSrmFuh98J12oiWZDC8Txs/xb5tWvETZxg1fWkOhx5pbhgKR24ST1sX/MIrUt7SFbKqmr/+TZy/DJXjx+AZ+xYX/GQftMNfZnnMF/ph5L1WMLjn2jna7qiJsuxwSbNoqH5tpPe8vJBzXYDFtZh6W3DQrPkgoeOiJLaEbvggDZ8FrriDghLL7f5WGtRl/LFvBWCZ9fixUGz6OUoZKPIgSrK93DsGUBuFmUUAJsZletHlVox4gwbrN2V41b2/MXrgqa9PWUVRd8n+3lRF3nC+lJTeV9Jixt818BRLMAooW0jDHg2g1/ZVJSk2MwfnAGbuAysxh/dMYC1ME3PLn42pCxL5ODuFXNADgOXdUQzYbcYMn0ML/5D8/2TeW1vNys92jMXFUDsMp9ReYJUBd7iPMxHCuTJLN2X+IQETtaVG1pwMziuRcMZpZot7g4niIBecMESH4eDggpjnXYxHHLsLD7QyZuCZlab5j3pMa74/Rn1A+DBQeNd/abl6UaqvBfQlkg1KeRCYVDHU8v2nzqgO/4n7/sNFXzcCY34MTn0QEn2o2F8U8BMvBvAOMFprhwMgB54EuTXPlmARIlsPukkyAhDnUQeDDOuVXXmK2DfXgBay/YPlSP2XfDgPVXC5UMZzmIZotvFB8WIEEQm96MoTcgc29eVh1PDvE1xSd37afGFMCBG01k+GBCUTyq0uDxBVgEjHgBI8G6nc/ZtPR8cETym46HalxvtpSTYHbwNfSUbLzVGuTKeMlFroFViFz0WDUXuVqVHw7F9bXKCMn6UROLKb6a6Dtr+5zOks4DZNyShc+LKaitscIpKUgqB05S7XpR2aTS/ohmVE0sdlCvH9UYMFKL6i+Yo/stTi8kj9SE0NjSkslKzuCiRRrbugiLsb0z+afkmfsVwfN2vDl90j9rBGXrD8+vpBtbtl1XL468/vIoksk5/avtvvt8cWkvwYSwGgsDg5oYIAN3sqixh6PBKtLtGQDXg48galpuP1h2eD41yQQ35JXPnzub+WcsvPs+x6jwLafv77g55FyMBeNpZvt3cG39jC2e5glUxMSn/5/G04zLVP/lbc+0Z+vtfWdn7Gqj4SXvtmiQzBLULfmLLXICqZv+V2UbAN0gmUkrK+PS0NcdfN2py0Sk78zdHvWvPqt5whxNY/m09HOk9MHlppiWln5BgHR7qlX4zgiLwn9WsLF3p1Y1w+bPqTM78fXwNH1tEo4p4xj0PevpG/x5oO5jNIDMkPfFgCdQlRqYgQSVUbp97Mdvnhy90zpkjXD0qOHhW9txazv8fXRthzcby+UwS/0jQHE74+LqJOj9cNip7Jy1lsm1Zq8WHs6ghf9q4M3BYjgGnNYg8bFZNgdqCnY/bRLu1KlBvrbfxkB/NZZ+RyIwQBMeB6Kd/cXE9+LTwVkNYfST2AjsJCinJ+rFSMDqiUP7eR119E89s2yG4oJ7CZWANcI1amGMFCuTAkoVM/gCLxpJqwm8DAaOqbFJM6M56BEB4vyR9KcY/d/cD4d14LQxE07mwPtorNnc+TfOBOX8ccp509ySHv8FTnocsJqgq0E4qbrPAnAqPnDBierBqeX8/wqnNyOcv8rnvpc0HxCx6tixtnv2fSX4L3B6M8DpbfEtKohX/nsuvJLfHybVQJk4m5iFUJcwglBRJ0CVyQhZu+CmaRsS/fmTnjTtv7FWNvd+bkVHGOGp2jIhpS968nCuIm1gPaQis1G51kUGslGNy4Sa0XCb67UM31Wf/7Kldv6s25xksVa2au5zrmzV3BLakshEiTYmW7XppZB9QlQpSBdubn/ruW9fAz6aedmrFlaKcHcl6zlX4uDw57TsVa5lh4Hs1W73a7o73y3iT9/0/QvXvR/zOLGqvGxWZ05IAFtVmVWHfkDXUISQI5s1OuLfhA7DCn0XhUoabexcra6hQGAFZ7cqSrgoglYORVizW+sj/0uaPrj3zdGTA8aHrdzs8K9HrYmqStH0Ke84T4y9rQhN3+vqVsXHO/m+qVuW/Vi6RXTXqprewqsJ/ATZO84TZO8sqemXbUzs7j29bnDWkB8fT3lz4mEV1fRX3nKeKHv7P6jph610P7u1/b9+22ydB/8dUCOqiml6H06KFP9bBTS9zgmzBghLXKtx0UxB/Z5n+Cu/uHNg87FRAj1UbVB9Da7VVfX4GpVansBATxu0FtGnP0wdspFCHhuUiSdsUObadpRcbMqX0mgPmv7rKqqMwakK/qgAcck7DFdQME+DxLYhG7YfJ21d08DDjrdziMuS3xThazmx1YZEKgXbs4OwUeuXfBO65XWfg3+fcaz9X7Cl2AXqGQgj7QIX9BlPqNA3YoNe/fLaoM/2Dg0ZP76/3bvRDzfpq3HchkLZYQ7Z1oV7TmSAENZ61uUUxoKNURiYAjYSz5ZRYCJJrESESsDwRH6wEJWC9xm3Zdc/Nm/rVz88C03LRkZ2fv/9KJbvppufsi5jfZWXQEnBKsabmHyVwrd4KXN6OBcGTiBMFgrnKnJ6evhP2hMwQdqi3j2hYx41nDv1+oKTmHAnf5nft9X2fve8O1M4F0/3NBTOLXuALZBc9gBbJJkSEDZx47wmvo0J+YCR7B+c5h7r0mNdUNrHn5c3+27j9/p5J5C29LwTvNWQFMrUs/x2HlklWKRqXqq5kxNprnf2N174H0HcmQxf1j/AFblEjfVybYTUghyLSqCQMeJytMe0UR8SzgZsCGx0bEBJTrS+zceFk27ziWaLR9DA1H04p175tf/LpqQfHuaiQNNvlUIFQQGYdQs5FI3BZ85IkNK10oEp538NSr5d2OfWF/IYfUaFY9EZFW+1BjlSL3KRI6hyyEG7+Ygae+bMY8XlQahGf5K0H8tIgCnHRgePy5vcd+KiU963N4y6wB2It2M0FjYSy99K+Z5UDMlMUfjhH3DFoIuEjQEknMqQ6OTFAkVpQUKrNN9ToXNrXOs666QynxuKGviAnRi2zDrRt8wsAYcPJxxAWejCUc14OLqywDHylb3db0rXoDm1WpwftaHohlFwMGx5daJveVkCDlxYWeEIKrsyoTHC4tJ1nrfuxtzodkFL2gy++bZBGl9vOs5kFdJooYz4n/H3JbhRk68AsnGYjKzXrsQwkwo/q2pkD/i9nYtgaqt40Wvb1kXcX0lDn/aEsTkOLwSILyzhexeowwzagY5/BUjJLZNqyLUlUp/L6+YRqIiS4J2OKrVSyFZqtbud38e5w/nBmR1XYo+m5JzQ5zoirOZHP+mi7TDk0FD1n7m1nwFunhA3VyYzEvlKgBQWMoab2HBz7YcBgMT/AbjhD85G5e9M8dt2496045oGdZmA47EBxzMIHFVbWgC4OYVcwPnqA2dIw7WNjpco/wtuXbeu+L7z0mLehL/WN9mxuvgAE258Ntz4BnGjqlUL4FZyiwu3dH1BtTWAW1NSY4h0aiCjcQAf5l1q72uPA99udghZf6xo+Jtq25IseK3JnMCJJz5TjgvJrKnsvss9x8sCSEVyIoXcMu2UkHG5bAGeX3SZ951n2MrW4tM9ihteM6JWdMXms8HFOa6z8Jp/VF2f9R5nMNKaNkFYrGn89qOn+A+Cfae27vBr1+iBqXozIq9YDAf2jprGDC0p2/G9doGYmjy3B5mQzOpPwEeBWxZkGVaj7OihCcK7fSYOD9xdcODe1AVjc9i/j4a7Xq+xecsvgYcK6yieYDq+hwL76VJgkv0kL0CGigwA0BlHxINxpo5ijazJMO/gic+69Fi25kOkBcuwWthYFgKQEgvIMqy0Y2q5r3CQTCrDStwJReeUsstzmLNNL670VN9v7vv7W98R2YdvztAvbgPormBUY+U9Fr8S7C0JjDuPAZjIDzgwpES6sElknQ8RR+/80jlsxvIOQwYo3zXQD/1FwAsw6SFLrtrH7cnax3huKRGOBNwogwPJ4Wm2kUKpRCxRG1dQKFuQPe7EuxTfmcKG67d/+XYVy9fRA5NlXcYu7IsEyEBYlqaQKTCZex/0PjJJEok1NXTmMZboW6jkXb2f43ME63/6MXqZ8HF3I5bQRKvBLJjqvd62GK8JXX9z6Axp0qO25p6bBdAEQWhymZK4cu/g0Jgkfw2jlRoMlcQS7CFRoZBajBj9eWj+oL6N6wZNrdtzwdLX6n36R6lxIgdIhXH0jVHdPotff11MAqJgchGQJwLkzSPTCiI3oQISTIgJIyZpfd8dfvSyRWhqhptL80dt9WXCifwlCyyUbmsgk/GICxkqq1QzgEwHPyBAiWqNUIqKy3u1ypqozIQCjFiKje8Z0rbB40ttIhbaq893rC5ppIeV7vtoSOl1WgMnB06cdj3Uau6mbJp7wPHNT2e1axkwS/W0+pHX7pREk35Enm2ARAr8c7r2ZgvMfk78gF4PjrhQ05SzAkX/fvHn7S+uhKzNGrPkbcvRCzm+j86net3GRiM+kJUWlzDpcE8bfySl2PyzAmybR2xbPBV1VoDzOBtxeSwgYyCMORFUZL42dpnQM8vOJ2j5q0OK4GG9FusbJfhrulHCWw05hRPnlMYsehEblLXgTNNu55bXN3eZBmidCGl9jCm2F1kqQNwqvaomw76IlklMSL1qEqwjeTAWS+yaeDKSL3Z+514Pd+0MzLFPHerc3BnljsY6kFLmSY/VexquFEu5A8QCBL1SzEVQILzmHUBgQZL5oAxPftCvRpuXYWu2X+6U53442Tgk6XF+G8MnYyzsr0EkfTiRLH5g9tEEQjFjYi5dQi3WaeD0BgEhQ6UDt687WNwClwBrgOsPRqc2qxpuK0gL3AxhscB2o5FlV/PvBi1fvXQlb294gL530U8To1YKcQNqvP11CQcKBksQqiUi4PKoyocwyuQeHP/jjn7ZvwSs6DOneOTL+hGsH0R3d3Q6jXViFgiQObB46joe022QSwRI4X0Gc6sN5TCYWzxYa+bRPEuZU86DlMQuBbzGEx6Oh+tbHUoxUiZz/+mrM4Ujgjc2q1ndu+fSsfqpTvSdCRv6noS56YPJgF7JkF75THoBXSRAPB9UqMnUfr9DdJIC0518m0ClUKWKlysAwB6hmFKGST3gMyqPwKBhQE1IZHGOMKAwTIX/vUwn2Jf/m1C9FMvLtV5vRe6gmELUcTc3hDqsrRsyb1rXIcPEk/QvB7Gh75rY0PdLqLYgN/WHl4ulSYGzzjee3PSXe+bWvII0L7zPRfM592m2gGs91qj8TJohdPp97FH36elGActb3d3bcGE3/Yz9ij6JlruUZH54Eo1222rWchwmUt83Z9P3VabsMJVLLFN2mBpsMbe49jzyvgTGssOFvwqQN2WL3BZskEflvv+x4AdF+MxFZ7b9nHlWQrFohNcFFyDGm9gOUZgYoCxSw0Uu6QxKZGp5eRIlEZowcuv9Q+mhQJ+ZecEZ573i0566zWb9QgabW95p7LHTHQLE5QLAdB6TzR2+R4DEn7e+zaUugS1lc7V1U40Ul9q6/jwjbQZ0aJcNXEre4gkfEk8XXh9ilMOpbTckLkGbrp175v6cNwE5vnLN0bp25ooLIK0DJK0zU0woPVuA7Dr/v2WePRnMMxutm+OBC4k2jEFIKBfp5097F628v5GXduftkcRJg5ZV1UAGJDuQWQ6yu1Qs2TkCGWYuGpuQ5TKha6VDTuZIRvYBpzoKnwTe5B6fz5gva5liYP0dLVTGYWrjIhlm74Tv1Uoqky+h2IcTlDRsLZGq7ktQ+dkyvoTvd1l714x7wZu/qvXZuzcTT5q7B7yejA4x+hLDN+FXuJCQt0JYjpcmz49Tb3j2IDz1z6zvkvo8u6h7vHRl8fIWw7wGhG22ny35WFxrtH4CHb6ZFCkVirB4uVRsSjzdl+B56GrgW6D4Bs+oeIkoHhUJZbC2t0aFiVEhfEBR/gK4Nw2Too30QRSxS8MO7V0aPHfWzvRpX9q05v56evof9Qljneq7AkQBnWoBU/pC8n0BgjwwbWcQ89OBSQcPp1pOtaLlgJnxtvJn8CKOxEkXCCSqY5naq9Ao8nE4PRUqkico5DKMLSGi8ML1JRPH3Azb+jKDHxBQt5a+wYBD0A0G3mrxHPNiATIcoprBlO8Q+RBHleT11my8HlZn/KmAlfER4/Lvl3718vpjXV4vPLHPoVt+QdBKf9fM9y/Pl+rNtC55Re1oDMWzPYyv3TurmvanMNVJm3aD9oU3FoySK0fAVvx8dQLMhlJIyReoeqJJcg0uDVGSuHh1Z5EUwAx3zkXxcrkKwzf62gTIlX5SaRuwPMc3pCSxcDsQ6jfwXPkXo0LAF0TeLAqPvoDlPFnjE8wQfw7zcKrFw6TyUYB93NFB5ItjgSVC1aPkqFgSG4spYRou8SIVHJ8oiwiPhatQFZiF9r561E3/JbEwKtQF9RuJKYVxWAejJLf2g3fH5j4VBc37oc8IXrc6DTmPm1JpQ2NI6gPG+iBg+Zt7B3DcE8ZTWatAb5GxJ8jZJLt+2e3QCu03MgLilPjXvc2Ra/xX80fPjtqziftktHl5Sm/3Hdw2XdaMv2jAzlpja/Q29wx5OkAx6w7bddHJaTiK5pZCdS6jsJggMSOI++8op+x8Vy9wzdjZxYc2TtvBCWJtYkhCbuhpbXq9Fk/RX0NixrgRjmYATXiHnkphImbNIjChEiYlEVJLVvlnT/QKvftmTkTPyyHZva46fV7jcc0qVNIT4uXMiReVx6qZjle9cGGiJEGTABQfeYE0I0yaw9MXCd9MC5w1pE+7e3NbDOa+9qD80mt6ro5OnzUAUxRxAYYWaY0pilR1X52qsSzjq1MvMTPXV88UIJE3WX31DYCDb2oh/4wN8qqe3PLnBc+XgiPxoTmaGa9GXVwdafXklvS1AiT/L7bkluR1oPfJ/yW3cCe3PG4yVz5vZZ5vdmHHMR4rrzW3WEzIXxz0i/OgOSHj/S4Ef/NXk6bmShCgde5fbDv4it+BSqv00r6VkNyifuUzbcm/g0N3RdQ91T0hc4UVk1ssvA0HCYpyEhQIbwUmtzSpo7h9a+7QwFlbe1yYZTdqshWTW6i7gBZAMvkJF5KeTyokuYUa4PrPyS1elk9uQTaQ+oMxuSV5I85upAVug7BYYKopoJzjlamxOKrt5dLSbqw3DUuIoTivdqAqWMaPoZ+203YY0t+bzg3tFbvxviAtf38B/+LgAHOL6S4TIA7PWa4V7t4/TTB1baUXSdSyFMkGbdnY4NOp1EQlYiVUakqfJ0BKnlLLBbmyYVvVT8MVbT+S4/MwJmT11PFzt0xed9bKp+GSXwqQ1Otsp+GQfwWI23UrnYY7XaJK3FfcNWxj5yXHslfVOmHBKJOlT0DDI4PX2U7Dpb/CQaqA03DRYwu3bLfNDtke29JRWjBlQaWfhkt+SwLDeBrO8wMODCmRn3+qEunj/9WiQU1b8g9s+TFqW/Vo1MoSiQJmc7jGJpHpb4C8XrWSRNb5pdnzv0Na+61WfLNoxbvLLhaUSAufrR8OQHpzlU0ifV/hIFWARPpc6nJoaVN50MITfw79+ed3iytdItG3JDCMEpn/HgeGlMh2bBKZfX/3kpZvZwjm1QwZ17/bQD/qCS6iTINGpDZ+o6qzzq/gtisJtlqOStQ624QoIJmxG7BN0wf3Xrl3XODmdUdvtAlZwF01VPermc6dlXUaibOnrT8yHD8gzXh2tTrovfFfLoHFgWHeK23pMse/Q0j4ho1PDv7yx4L9BiLk5pR3oJ66NlNYIwFWkRCrK0xLIzc7HCuTyjs0IIT1p8Sx5azDCNrz6MBjAwQJfqnO/+zsL6/PfS+a48Dy0eg8ottpcTtqTyLEWGU2xcEfQQroWzLGIJRkCKF075yNBV4LwraVrH7fNmB8AjdCg7gQGmRlhLJucCFE5aFqRiI02hBCL97m2bSeviN8qaZg/OC0gEvcCA3mQmiwlRFy5kQot8wXa/9pa/5HiGduUINO/Dkbv5FWT5ywvUI1Pwq0Weo1Ns2fBTQ/g39mluaf2q1e1OPFPQI39J7TJ7DdjxOtqPmpKwxzyxgArFKusWl+Fzt/RjfNIpp/9IM5om+mhAVsVb9qyOvzaFIV1fwKexIhRqlNBFLrc81Kmj8jaeRpl69aBm760sU7421x+yqq+SFCxVe5EKLykMU0/8ZmEc1/y5zCX928dI3rv4O5b5KvPM0PEQriROjNFa3md/u0Nf/7uq2vDx47wHdHgWj4g7pNPCtU8ycDbXbsMpvmdwZUOHbJspp/fZIq7HryRd42ZIo60Mb2mhU1P3Ula25iFsBq12U2zZ9oh2NlHc0/D1s5q9oPKt62i36upe6HuS8QrzzNn29PIsQotVeA1MZftpLm//HVndBp/bL8U94pOn3326JtVVTzQ4RcOBGi8pDFNH+vqTmvVS/b9T0QsCYk9Zu9Haqo5ocIJV7iQsjtklbzd2DT/FXtvts2L85/2WHG7L5bQn4d13lR5ylWv+823wnYT7j6Xsjo0dcFvTf+775bElkj7rvt3zlj8MVRowUHnKrbnR3ToqDi7rulhnvMNGIlgDF8CtiKWSvqAMf0hvXvu72yJ8/ffqooYGL3w1PW7lu9qeLuu6WuoSwAZ+oNLjiDblAzcsyBk/m+276zPcdOeZsTtLCHTcuovL+zrXjfLQVOqmNiATjfXOeCM+N6hVyHm+Gc5HcnOzFoCrr4+2eetVOq1HW4CmdShhmvw42vhzMdaSI7Ip+IiVx784W8zdiHfXdeGxncq1v7CKubSFx0r7GZyPy6+CL8/0yk0SZyxooxC45vcQ1ZgokKNtpl0A6LWM9EUuP9Zioh5zpk/IpRCc2pg8evrG4iP5wdFnvhh3f85Jf9X78pKrhZcSaSGkSzAJx4sIsVTiBnVjeRU9O+8ViYVY83/5e4Ah+n2bS4l/VMJHVlagE4gzjhfHOlQkykOL7vd6v6vAvZM6WhQ+70prOqlImc40zKMKOJTKnnr5Mz0An5RExkl5zRtolFa0LSUidv6OwicrK6ifQE3JR+mc1EOgOM0y/9n4k03kQ23/mDBBmR5Jd1xDFULd1xseJMJHXD19z0B8AYcy6zKaF80Ot72fomsqjN5XHb3Y6EjF8RXriwdbOhFWciqbsoFoCzhPXCLQhn+iXrm8jEbe0n7Vt+J3jRor21lt+Ijaw4E0kNTVoAzkhOOJFLFWIiM4cdu9vtV2X4ugej2m9t9CO3wq5oE5nvTMowo4k8Vg9nOtJEuiMsJlIaNDmpWcy7oNntV01rc7zFcf0DFWQJA7qRZMtx7dJPLh1JlGoQKiXqeGBWJCJUSAyDp3sCHsZw1PGyHUaZzVvb0551RDf7T4v6avKujjHOnFTQfjP9EAjZYawD0tAfGQgDQ/Z8pitZmgCfmJ6EbmIthGbEXttIoVSDqQh08G+UyOKYqzrn73eVju8lmO66z73LmWm0JQX1flIwONP9pLDZ0NYbNX5ipkRnNcRjGsTWGy0FNKURjqZJW2+d/cr5KwETylA3kss64LnUsC6MDriMcP78KDBgQuksflbgObcjKxwOctfcoLyPXnOD+oDFy001ITFcwZRGO7AZjiEp750/ZXl/OMq78Wnx4oj9C75Ysfy4pmOFyHsy4NArV9nk3RlgH09PobKyvH/V/szxHX6n+ZvPf9npM9XBJlaUd+pi0NytdoDmsats8p7YCEezouU9jL/g6e5B/QUTo7FNt/26cS94K1/e85uQGDLKe1AzHENS3j0+ZXnf1OGOTFozLmxbvVNSvw2TV1WIvKOABwdeZpP3LGjf6YkzVpb3lPm7GwR7dQlJbrnozNuxjiIryjvVszU3qRKgGXSZTd5dGuNoVrS8uzpMbdntw5S+k3r5Ygtr/kDbVati8q5wITFklPfiZjiGpLx3YZP3jn+P+2LegmD/fSNa1D203F6/RE1dflnqG550YnzaXAc+LWkuVilPQH9KTMLzVuRKsUQmVBt7TbFoym/tOvfuGrFTE9y4y5Mrp7gpQ/lqOmUoDxjr4bfyR1C4V/mIKTgW2Rb0XmNMnWNbUtYh8sC0WDDOvPPZh7/mLXkbOHW8IMP7XtRV7opcA3WGox/k0+s1JPBUZ9dchx6A5wzBS2TK8klH/ZHca5V9tN0eKf9DvUSZm45JBukYsuFFrmvHS2Hzf+943W7F9UbcdBzEScdBptCR6sRYgI6Ka1x0RKssHasZpONog3R0Oij7oT/vUOgq5cBhP576wpWbjoM56TjYFDpSjZMF6Jh/lYuOyVerEh1NuzmZSJE0QMo/u+92XT1uaOiiM/90LPmjFi2abE5ispmm3dmV1JaMmcfFrriUkabdE2Ep5Xqk/0/nhi2vHr7/pxznmuvOT9At5TpU8uhgzWY8ebuEet1Sp6QNp9Tck6sFEpWCVp6Oa7urab94+SjC1KtgWWIlnBEqlquN8+lfdPCOWTf5S/74426zvh3n5W6gKGDZBzIUBSzrM3Yl3xT4UbBG9BCmw+rOLcA6/4FJKfH1IgkUYAlY4ksYp9xghePgf+O/D57t1nNF0onAOCsmxo/+0P7I0xlfBWXLbmY+mXfBwdzVOkAMvymMebXeDEeMZE8vhMXzvLB77+aOHaODk32vLr7T+Jz+Fa0OfKBzlHKJmM6ADiyouwdi4ClYyQ2uNsE0hHjFXRE5EOF/JmBi0G6k1xn7YL39VtsjIWue8U7Vb/q5PyeByr6YflBe22Ns3M7JHyl5Th7RyKAKPwrj9CUm8WMj4tqpckjkSoAU45Q/W/lU8Dgt1G/H0DryR4+77ONeWhNqln4JVVlHBR/SRur4I4UQORcevLmIWsqjrn9/zfPDTJ4dG3KNycudjIFO2bRl7Ud/DvH7/c9m/bMvNjhsDHT0q57KOir4lCOEzlkL3RUG6KhMV80AdI2i4yVK45Db8HL0oy7i4oCFv5xYMXfVtBfGIMdnQ45f0aeEIHI+JRzIrTvxzLRQRnOtwtCunOXKMhwZAfwleam/Ku1b/opDfX5qNuzbvuYqKstvRdQjBXMgk7c5p4E/Mue5aeeE3MNxTY5KYYV1IKMyWBdOFodi4jgM9eMRBeMJnkP5zCnpGx4JPn7uEJqWPtchvHHWFU7QapKv86NLrE6XNWDz5YStpMS0w0OcsPH4erD5MeckuXrfkJ1S+K+/PdLVbb6IOxSjxYZHF1edLmvAll7CBVskBTZbc2Dj++nBxmOErV7X08Gb9i/kzz/3vTrkdPHPRsHGp5tWnS5rwIZwwpb1TOvVdUVYvLoxI/M/8+03xXddzR4z6ygkDpRCUxKlSJOAu2QMmwhsnp0vi2enMxjh3SkwpQKTiSUijVSoRGMkKvClcqWR3p5kdpvF4X6dQjcvG+nYanLCRu6Vve5MGEpm6fQauwoBJha5B9C34TN4fbn1/WG9eyt5feoDybKe4w+FLcjoLtPMfTbh0/L60gFyJXfZvL58Z//+k+5azesTb1gmiioaxUvLvzkx9YLToE/L64PQoXfZfBeYMERhOgt6fY//OJOW7Xm/7/Z/Z/4qxkTcEdEq5/VB5ILucCC37hrDpR1cNqa1rtIw1vOjLuwtpbQsX9mnASmkYxjrOzQCFvuuaR5g10hGbU/YaCxBKBPiJho3DKRXyAjhzc+kN1pu3+mXE1xvZ8thKf9wH5PmaV/D4AnqdVoDwEhOAJG7pvmClgJw5tXpK0ICfg7eFFPfdeTPDtxJj+UYMfiEep3WABC/MoYVQOqVMYa8QksBGD89b/0bh3+CZ53+rsHsGfbGciCDd6jXaQ0AnTkBzC27EsUbYfEPV3l0OzTu9rqAzJy7PqcO7PLSX5oGy0z1Dbsx+4YSma5fSLSZ6A++XRtSmn3yWt+c0JeBbb9dzF2mpezL6YtqbY+xWTyd/BGf5+QuM80PdO7ijxQ/s5YfeF0icBhQvSB84oPTf8SMGUg79F61/cASgJwba/QP7ezff1+J1fzAju+bLpyTXzco+fqTsU1Xf7/o0/IDIXQDWWNYADoq01nQD3xz0im48ZM7EQv+qD1tQFZszqflB0Lkkp9xILeuvqnRP63CMNYHvHR+5M7feV1Cd236oNmejnKbDyMUleUTE7uQghnGZDjivfyRKyWm+X7eJlhezmjWoO/aRUz0+xjx26G0VOU/dQK4tx3L/Tv6tqNOnzXwSynhws/HxDDgf8CP2XVBvGb+e3D05MD5eW5LR6YPMrBtW+7eceBnedc5nzCaHPilPjPN8/sP+DEHoWfcPf3M/cxp3pLUGSVxkgi+kfjR9Z9unzXwC+LE781TrePXDWFx/L7pX/Dlvp0BvH1dWl9ttbWks75T21epjpeb6vt5Mft+8vKxSPdPqpaoNWJjkw3PHe047N2ea4LUJwHdW23w3sPtjut8Od0d1+k0NqmzqT+SD3XlP0zuX1YLYG2stvm7N/PfWxvfi8IXpgX0H5y6VPBpuX9zAHK5rO5fbjP//v2tt/nrHWr32vGtI2/x4KC/Z07LavtpuX8QuhJW9w9AR2U6C7p//R9m2H87dor/licL4/4a/EDzabl/EDkXLuTWrTPR/WulozOM9QBn2GXKDkX1Eaxd4PK+SfZPry2jsSyfsN6SlFAxkx3xae2PKEzcBfbwI1W7GfvAvLbXO9ZQzgrcf8BlrNTm0Qdu8MpeyBT/0+20BngoJ3j5JjqBBsAzajd4dX5NzfVrifw579uKlb2mcW9/lOPDFPvT7bQGeMklXOB5mrgjbAA8o/aEl1RDu2X+dFiQKR7qVm1P+EIjwWOK++l2WgO8wmdc4M0p2xf+AqnqVyF7tRtzXOLZWbA/78KNLWnDsyxzFfLz3i++8Z47KWhLzRFj1j30MzfB0jdbgKTCYD/jVci5OQJk4F0t5F9WecjXVe/1tsV4Tej6m0NnSJMetbUM5EVtcq5/7/42JHvSvoXjWo5+aybk8BqwY/fYIEc+CJCUe1rIu7NBvs++Y3jdUCxsRSEPvZvbxFZ/pv1EQqb7v+xZ8HXHn0eFMhJbVCOTAFcgQZoEb3iCJ9rEAH78OkwjVza/r+0TtTasKHDaq5oLd0+dvJPh8+gZxnizsSkkjwSID+TbQXyGI1LIR9BLT2LgUrNOPKEKQ+MweQKmVjKnUftc3dzd/vCNiDT+B2nrHhen6oe7Asmf0sNdZT2GipUEeH7RZd53nmErW4tP9yhueM3cSz4fCxA3iJEjn6lYyd8C5Mod2jqFK/O+HkzbA0ZGHouqAK3YDot+3u1OXnanfgEzkBM/TjrpRinmQoxBr0VCtlv8ii8AQsodLhAAo1TG8ZNa/LJDI/A5b4T9j0lHi/oRlEFjhTBIw0igLycv3juw1VD+b0NXxUY+zNtQH95CqwSg+ycqlEAf6wxn69VloD79AvBx6fQj2w0pU2m7QS61z9cJW+TQdohsSvWxFuDx4iIu8qYWVZXTRbk+531NumWvLq4RxdxaiWqdzNZKZu/elpJqB94tXEIlSaQNvjlOW3xx4dAgGpBEBS2SEDbj5e2Yb32b8TiK1ytFkN26/e8Bbv0j9HMdy0ah5zqWd1kDDZ87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+
+
+
+
+ - Divide a curve into equal length segments
+ - true
+ - 23cfa6ee-6dc3-4886-8303-f6803116b662
+ - true
+ - Divide Curve
+ - Divide Curve
+
+
+
+
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+
+
+
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+ - Curve to divide
+ - bc0b7452-1626-4ebd-a86a-df7000919b9d
+ - true
+ - Curve
+ - Curve
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+ - 1
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+
+
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+
+
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+ - Number of segments
+ - 2eca84ef-6cc0-46f0-8d94-b072754e702a
+ - true
+ - Count
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+ - 0
+
+
+
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+
+ - 1
+ - {0}
+
+
+
+
+ - 12
+
+
+
+
+
+
+
+
+
+
+ - Split segments at kinks
+ - d182c19a-4003-4780-bcf9-12018269d0d4
+ - true
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+
+
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+ - 1
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+ - true
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+ - 1
+ - Tangent vectors at division points
+ - 0a730df3-4360-4825-984a-f554b304236e
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+ - 1
+ - Parameter values at division points
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+ - true
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+ - 9e27debb-5e86-4606-973b-d9f0038d9a9f
+ - 4cbd5c2f-7baa-4212-87c3-d1ddd3255cf4
+ - Cull Nth Plus
+
+
+
+
+ - Cull Nth with a list of N input
+ - true
+ - 7f057f81-bd18-40e3-be1d-517ed99c5218
+ - true
+ - Cull Nth Plus
+ - Cull Nth Plus
+
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+ - 1
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+ - true
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+ - List
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+
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+
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+
+
+
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+ - 1
+ - Remain list
+ - dbe2eec1-0330-40d7-ba21-44d4ea5929ae
+ - true
+ - Remain List
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+
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+ - 1
+ - Remove list
+ - a4f3a860-29fc-4d57-90b4-634589653ceb
+ - true
+ - Remove List
+ - Remove List
+ - false
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+
+
+
+
+
+ - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278
+ - Geometry
+
+
+
+
+ - Contains a collection of generic geometry
+ - true
+ - 483a57a0-3138-4e95-9ae7-7df6db33f9e1
+ - true
+ - Geometry
+ - Geometry
+ - false
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+ - 1
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+ - 2576f657-2f0d-4e3e-9dfb-c79eb4cd13d7
+ - 4442bb24-c702-460c-a1e4-fcdd321eb886
+ - Loop Start
+
+
+
+
+ - Start the loop with this one. Double click to rerun.
+ - true
+ - cf795aa7-50ff-4bc0-aa8d-2e836714c804
+ - true
+ - Loop Start
+ - Loop Start
+
+
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+ - 3
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+ - 3
+ - 6cc73910-22ac-4eb4-882b-eb9d63b8f3c2
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+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Number of repeats
+ - ff1d8fd6-4fbe-45a9-bfc5-a3302c0a8624
+ - true
+ - Repeat
+ - Repeat
+ - true
+ - 0
+
+
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+ - 1
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+ - 1
+ - {0}
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - 2
+ - If you want trigger loop to restart
+ - b2247381-0022-4d94-94e4-5f32c5850878
+ - true
+ - Trigger
+ - Trigger
+ - true
+ - 53cae312-367d-4abc-bff0-b2bb0bd2f37a
+ - 1
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+ - 2
+ - Data to loop
+ - 84e5f3f6-a43c-484f-a696-19f21614de91
+ - true
+ - Data
+ - Data
+ - true
+ - a929d774-3816-407c-8bb1-2d8c0eb4d3d3
+ - 1
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+
+
+
+
+
+
+
+ - Connect to Loop End
+ - a77eeb6f-1b23-487b-9ca2-c471c39a8341
+ - true
+ - >
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+ - Counter
+ - 236bae32-b1c4-46c4-8612-606d8551ea93
+ - true
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+ - 2
+ - Data to loop
+ - e2941a5e-ea2f-4956-bea5-1d5c0292c3d4
+ - true
+ - Data
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+ - 15483310-2ce2-48c6-b803-9dee8cb7cc9b
+ - 4442bb24-c702-460c-a1e4-fcdd321eb886
+ - Loop End
+
+
+
+
+ - End the loop with this one. Double click to pause the loop.
+ - true
+ - 24e25eb0-9a35-493e-8f13-21e0d3c4eacf
+ - true
+ - Loop End
+ - Loop End
+ - 0
+ - false
+ - Last & Record
+
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+ - 3
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+ - 1
+ - 8ec86459-bf01-4409-baee-174d0d2b13d0
+
+
+
+
+ - Connect to Loop Start
+ - 0f8e182d-b5a4-4c1d-b552-32a139032b24
+ - true
+ - <
+ - <
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+ - a77eeb6f-1b23-487b-9ca2-c471c39a8341
+ - 1
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+
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+ 35
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+ -
+ 3585.5
+ 13550
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+
+
+
+
+
+
+ - Set to true to exit the loop
+ - c111642e-0e24-40bb-a41b-8da509a79923
+ - true
+ - Exit
+ - Exit
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+
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+ - false
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+
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+
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+ - 2
+ - Data to loop
+ - e9e1ab85-0f45-4fe5-8f0e-29e9a475e888
+ - true
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+ - Data
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+ - 9b609f13-37a5-459a-837a-67a98ef63c13
+ - 1
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+ -
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+
+
+
+
+ - 2
+ - Data after the loop
+ - fb191a38-619f-4b56-8ccf-6b1c32e2f377
+ - true
+ - Data
+ - Data
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+ - 0
+
+
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+
+
+
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+
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+ - dc6f76a5-ffd3-4a50-b42b-fcb46a544902
+ - c6c19589-ab63-4b60-8d7c-2c1b6d60fac7
+ - True Only Button
+
+
+
+
+ - When clicked, the button object only raises recomputation one time.
+ - False
+ - True
+ - 53cae312-367d-4abc-bff0-b2bb0bd2f37a
+ - true
+ - True Only Button
+ - True Only Button
+ - false
+ - 0
+
+
+
+
+ - neutral,N
+
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+ 2987
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+
+
+
+
+
+
+ - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703
+ - Scale
+
+
+
+
+ - Scale an object uniformly in all directions.
+ - true
+ - fed0931a-7dba-4634-a05f-24e13bf66192
+ - true
+ - Scale
+ - Scale
+
+
+
+
+ -
+ 3318
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+
+
+
+
+
+ - Base geometry
+ - 865a4068-e451-4e9f-af6a-1e07345370fe
+ - true
+ - 2
+ - Geometry
+ - Geometry
+ - true
+ - e2941a5e-ea2f-4956-bea5-1d5c0292c3d4
+ - 1
+
+
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+
+ -
+ 3320
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+ 129
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+ -
+ 3392.5
+ 13657
+
+
+
+
+
+
+
+ - Center of scaling
+ - 9285f162-f834-433b-a73c-34ce37ded449
+ - true
+ - 1
+ - Center
+ - Center
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+ - ed980b58-5a2f-4b30-a1ea-1ab16035c885
+ - 1
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+ 0
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+
+
+
+
+
+
+
+ - Scaling factor
+ - 117a216c-bcc7-45e0-9717-fdaaeb6e2443
+ - true
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+ - 0
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+
+
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+ - 1
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+ - 1
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+
+
+
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+ - 0.33333333333333331
+
+
+
+
+
+
+
+
+
+
+ - Scaled geometry
+ - 9b609f13-37a5-459a-837a-67a98ef63c13
+ - true
+ - Geometry
+ - Geometry
+ - false
+ - 0
+
+
+
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+ -
+ 3473
+ 13647
+ 50
+ 30
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+ -
+ 3498
+ 13662
+
+
+
+
+
+
+
+ - Transformation data
+ - cb00f054-15d1-4ac8-b4fe-f1a6b4589dc1
+ - true
+ - Transform
+ - Transform
+ - false
+ - 0
+
+
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+
+
+ - 8b8c1414-7367-4a62-a443-4fd394cc509b
+ - ab81fea9-8d16-4caf-af89-2736c660f36d
+ - Tri Fan Polyline
+
+
+
+
+ - Creates a series of triangulated fans from the edges of a polyline about the area centroid.
+ - true
+ - 58a8c198-ec27-4951-8a0c-75e9a9b9fd31
+ - true
+ - Tri Fan Polyline
+ - Tri Fan Polyline
+
+
+
+
+ -
+ 3208
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+ -
+ 3260
+ 13841
+
+
+
+
+
+ - The source polyline
+ - eeee6af9-59a7-4bd8-809c-3fe3cfda3642
+ - true
+ - Polyline
+ - Polyline
+ - false
+ - 1a105131-0beb-4dd1-ae59-fbd2beddc3c8
+ - 1
+
+
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+
+ -
+ 3210
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+ 38
+ 24
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+ -
+ 3229
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+
+
+
+
+
+
+
+ - 1
+ - The triangular fans
+ - 1dd677a1-9929-4587-b331-543f849501ff
+ - true
+ - Polylines
+ - Polylines
+ - false
+ - 0
+
+
+
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+
+
+ - 4098ec7a-819a-4ced-9eee-86835d7e21c9
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Catmull-Clark Subdivision
+
+
+
+
+ - Calculates the type of mesh-based recursive subdivision described by Edwin Catmull and Jim Clark, at first in their 1978 paper. The resulting mesh always consists of quad faces.
+
+Provided by Weaverbird 0.9.0.1.
+ - 0
+ - true
+ - 143cdb25-a5ff-46b2-b447-389560346116
+ - true
+ - Weaverbird's Catmull-Clark Subdivision
+ - Weaverbird's Catmull-Clark Subdivision
+
+
+
+
+ -
+ 2937
+ 13678
+ 282
+ 64
+
+ -
+ 3106
+ 13710
+
+
+
+
+
+ - 1
+ - The open or closed mesh, or closed curves list, to subdivide
+ - ca4a8f77-dcdb-4e51-989f-e0162c671a22
+ - true
+ - Mesh/Curves
+ - Mesh/Curves
+ - false
+ - 0
+
+
+
+
+ -
+ 2939
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+ -
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+ 13690
+
+
+
+
+
+
+
+ - The number of subdividing iterations for each face
+ - 519f4547-ae3c-4d14-bd61-5964f0bb619b
+ - true
+ - Level
+ - Level
+ - true
+ - 0
+
+
+
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+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - Defines how to treat the naked edges
+
+0: Fixed. Naked edges will not move or be modified.
+1: Smooth. The naked edge will tend toward a spline.
+2: Corner Fixed. Corners (2-sided vertices) will be fixed, while other naked vertices will tend toward a spline.
+
+ - 51b8cc4d-12a8-4222-a496-2ceb94acaf15
+ - true
+ - Smooth Naked Edges
+ - Smooth Naked Edges
+ - true
+ - 0
+
+
+
+
+ -
+ 2939
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+
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+
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+ - 1
+
+
+
+
+ - 1
+ - {0}
+
+
+
+
+ - 1
+
+
+
+
+
+
+
+
+
+
+ - The mesh after the subdividing process
+ - 1cf25e72-18e2-416d-bffd-e1cac6e655d3
+ - true
+ - Output Mesh/Curves
+ - Output Mesh/Curves
+ - false
+ - 0
+
+
+
+
+ -
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+ 13710
+
+
+
+
+
+
+
+
+
+
+
+ - b709f183-e4c5-4888-abed-beaf3cb22d59
+ - a4634196-add1-8181-6e78-09a045132c7c
+ - Weaverbird's Split Triangles Subdivision
+
+
+
+
+ - Places several triangles into every face.
+
+Provided by Weaverbird 0.9.0.1.
+ - true
+ - ab2acefe-3b9a-4eaa-b644-5d2ebae36e50
+ - true
+ - Weaverbird's Split Triangles Subdivision
+ - Weaverbird's Split Triangles Subdivision
+
+
+
+
+ -
+ 3147
+ 13942
+ 191
+ 44
+
+ -
+ 3225
+ 13964
+
+
+
+
+
+ - 1
+ - The open or closed mesh, or closed curves list, to subdivide
+ - b1e6416d-d51c-49bd-9614-b513190d5c34
+ - true
+ - Mesh/Curves
+ - Mesh/Curves
+ - false
+ - 1dd677a1-9929-4587-b331-543f849501ff
+ - 1
+
+
+
+
+ -
+ 3149
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+ 64
+ 20
+
+ -
+ 3181
+ 13954
+
+
+
+
+
+
+
+ - The number of subdividing iterations for each face
+ - 32a4d2e2-21aa-49cc-bfb4-f09cc7fd9f1c
+ - true
+ - Level
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+ - Extract the wireframe curves of a brep.
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+ - c3f9cea5-6fd4-4db5-959b-08cd08ed9fe1
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+
+
+
+ - Create a mesh that represents a Brep as simply as possible
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+ - Quadrangulate as many triangles as possible in a mesh
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+ - Angle threshold. Triangles that exceed this kink-angle will not be merged.
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+ - Create a mesh that represents a Brep as simply as possible
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+
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+ - Merge a bunch of data streams
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+
+
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+ - Retrieve the base plane and side intervals of a rectangle.
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+ - dd138664-ae21-4e7a-80f9-5b6174effc23
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+
+
+
+
+ - Returns the total Span of a One-Dimensional Domain
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+ - Signed Span
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+ - 1
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+ - true
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+
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+
+
+
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+ - The total Span of a Grasshopper Domain
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+ - 512ef7d2-6064-4570-be28-79cb579bead8
+ - dd138664-ae21-4e7a-80f9-5b6174effc23
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+
+
+
+
+ - Returns the total Span of a One-Dimensional Domain
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+ - Signed Span
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+
+
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+ - The total Span of a Grasshopper Domain
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+ - 9c85271f-89fa-4e9f-9f4a-d75802120ccc
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+ - Mathematical division
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+ - Item to divide (dividend)
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+ - Item to divide with (divisor)
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+ - The result of the Division
+ - b98ea984-67ff-4c92-a028-9aadf63e773e
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+ - ce46b74e-00c9-43c4-805a-193b69ea4a11
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+ - Mathematical multiplication
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+ - First item for multiplication
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+ - Second item for multiplication
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+ - Stroke
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+ - Applies Stroke properties to a Shape
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+ - A Graphic Plus Shape, or a Curve, Brep, Mesh
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+ - The stroke color
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+ - The stroke weight
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+ - The shape to be used at the end of open path
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⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG b/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
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⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG
new file mode 100644
index 00000000..d32e704a
--- /dev/null
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⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG
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diff --git a/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
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⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/κ¨ΠκΌ.κΉκΉκΉκΉκΉκΉκΉκΉ.κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG.κΉκΉκΉκΉκΉκΉκΉκΉ.PNG
new file mode 100644
index 00000000..27b38530
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⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/κ¨ΠκΌ.κΉκΉκΉκΉκΉκΉκΉκΉ.κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG.κΉκΉκΉκΉκΉκΉκΉκΉ.PNG differ
diff --git a/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
/π‘ββπκ
βΈπ‘βπβ’πβπ‘βΈκ
πββπ‘/π§·β⦻κ
β―βπ½β΅β⦻ββ΅π½ββ―κ
⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/πͺ½ί.κ¨ΠκΌ.κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG.PNG.7Z b/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
/π‘ββπκ
βΈπ‘βπβ’πβπ‘βΈκ
πββπ‘/π§·β⦻κ
β―βπ½β΅β⦻ββ΅π½ββ―κ
⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/πͺ½ί.κ¨ΠκΌ.κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG.PNG.7Z
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Binary files /dev/null and b/ββ£πβ£π’β£πβ£β/β’⦻β⦻β’/κ
⦻βπβ’π₯ βπ§·βπ₯ β’πβ⦻κ
/π‘ββπκ
βΈπ‘βπβ’πβπ‘βΈκ
πββπ‘/π§·β⦻κ
β―βπ½β΅β⦻ββ΅π½ββ―κ
⦻βπ§·/⦻κ
πββπ§·β⦻β°β¦»βπ§·ββπκ
⦻/π¬/βββ’β―β⦻π₯ ⦻ββ―β’ββ/⬑/β/⬑/β¬’/πͺ½ί.κ¨ΠκΌ.κ¨VΖ§.XHκ¨..XHκ¨..XHκ¨..ββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦ββββββββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βπ’¨ββ¬’βπ’¨ββ¦βΰ¦ββ¦ββ―ββ¦βΰ¦ββ¦βββββ..GHX..GHX..GHX.SVG.PNG.7Z differ