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diff --git a/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG..⠀⠀⠀⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀옷⠀ⵙ⠀ߦ⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀◯⠀ⵙ⠀✤⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗩ⠀ⵙ⠀옷⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀⁂⠀ⵙ⠀△⠀ⵙ⠀ⵈ⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀ⵈ⠀ⵙ⠀△⠀ⵙ⠀⁂⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀옷⠀ⵙ⠀ᗩ⠀ⵙ⠀ᴥ⠀ⵙ⠀✤⠀ⵙ⠀◯⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀ߦ⠀ⵙ⠀옷⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀⠀⠀⠀..GHX b/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG..⠀⠀⠀⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀옷⠀ⵙ⠀ߦ⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀◯⠀ⵙ⠀✤⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗩ⠀ⵙ⠀옷⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀⁂⠀ⵙ⠀△⠀ⵙ⠀ⵈ⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀ⵈ⠀ⵙ⠀△⠀ⵙ⠀⁂⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀옷⠀ⵙ⠀ᗩ⠀ⵙ⠀ᴥ⠀ⵙ⠀✤⠀ⵙ⠀◯⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀ߦ⠀ⵙ⠀옷⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀⠀⠀⠀..GHX
index 9b5594e4..195ded01 100644
--- a/◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯ⵙ◯ᗩIᗝI⚭◯⚪◯⚭IᗝIᗩ◯/◯✤ᴥᗩ◯ⵙ◯ᗩᴥ✤◯/◯ᗱᗴᴥᗩᗯ✤⏀Ⓞᔓᔕ◯ⵙ◯ᔓᔕⓄ⏀✤ᗯᗩᴥᗱᗴ◯/◯ᗝⵈ◯ⵙ◯ⵈᗝ◯/◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯ⵙ◯ᔓᔕⓄᴥᗱᗴᑐᑕⓄИNꖴ옷ᴥ◯⚪◯ᴥ옷ꖴИNⓄᑐᑕᗱᗴᴥⓄᔓᔕ◯/◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯ⵙ◯ᴥᗱᗴߦⓄ옷ᔓᔕᗩᴥᕤᕦ◯⚪◯ᕤᕦᴥᗩᔓᔕ옷Ⓞߦᗱᗴᴥ◯/XHG..⠀⠀⠀⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀옷⠀ⵙ⠀ߦ⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀◯⠀ⵙ⠀✤⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗩ⠀ⵙ⠀옷⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀⁂⠀ⵙ⠀△⠀ⵙ⠀ⵈ⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀ⵈ⠀ⵙ⠀△⠀ⵙ⠀⁂⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀옷⠀ⵙ⠀ᗩ⠀ⵙ⠀ᴥ⠀ⵙ⠀✤⠀ⵙ⠀◯⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀ߦ⠀ⵙ⠀옷⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀⠀⠀⠀..GHX
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@@ -103720,11 +103720,10 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
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- Create a polar array of geometry.
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- Geometry
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@@ -103772,10 +103771,9 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
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@@ -103830,10 +103828,9 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
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@@ -103843,9 +103840,9 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
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@@ -103877,10 +103874,9 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
-
+
- Sweep angle in radians (counter-clockwise, starting from plane x-axis)
- 830edab2-3577-49b5-9b86-3176f2325c0d
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- Angle
- Angle
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@@ -103925,11 +103921,10 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
-
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- 1
- Arrayed geometry
- 83518a8d-f74b-40af-b86c-f903a039dd82
- - true
- 1
- Geometry
- Geometry
@@ -103954,11 +103949,10 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
-
+
- 1
- Transformation data
- 592a6339-b84a-486e-ab63-edbcdc9dac1f
- - true
- Transform
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@@ -104517,7 +104511,7 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
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- 1
- Joined Breps
- e99fb649-faba-435c-b3ad-6cf18e59bfdd
+ - 1
- Breps
- Breps
- false
@@ -104573,7 +104568,7 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
-
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@@ -104600,7 +104595,7 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
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@@ -107534,10 +107529,11 @@ For best results {v} parameters should be between 0 and 1, in numerical order, a
-
+
- This component exports geometries from GH to 3DM file directly
This component doesn't rely on user interface operation in Rhino, therefore is faster and more reliable.
However, not all geometry and attributes are supported.
+ - true
- 81a24f5c-3235-41fa-b30e-2756ade9dc30
- 2.4.1.0
- Export 3DM
@@ -107925,7 +107921,7 @@ See manual for supported attributes.
- Boolean Toggle
- false
- 0
- - true
+ - false
@@ -107991,14 +107987,14 @@ See manual for supported attributes.
-
- 6512
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@@ -108148,14 +108144,14 @@ See manual for supported attributes.
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@@ -108223,10 +108219,10 @@ See manual for supported attributes.
- A panel for custom notes and text values
- fa21fd01-6003-40f0-b870-bad1852b17b0
- Panel
- - Panel
+
- false
- 0
- - 9fb118a3-9a60-4960-8e4e-5665c9df25fc
+ - e99fb649-faba-435c-b3ad-6cf18e59bfdd
- 1
- Double click to edit panel content…
@@ -108234,8 +108230,8 @@ See manual for supported attributes.
-
- 6675
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- 0
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@@ -108538,6 +108534,1015 @@ See manual for supported attributes.
+
+
+ - 04042ba4-51b9-42d6-a264-2eb6e701c115
+ - c6c19589-ab63-4b60-8d7c-2c1b6d60fac7
+ - Export 3DM
+
+
+
+
+ - This component exports geometries from GH to 3DM file directly
+This component doesn't rely on user interface operation in Rhino, therefore is faster and more reliable.
+However, not all geometry and attributes are supported.
+ - true
+ - 6ba6b4ed-f350-4441-ba08-3742794351fa
+ - 2.4.1.0
+ - Export 3DM
+ - Export 3DM
+
+
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+ - neutral,N
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+ -
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+ - 1
+ - The geometry you want to export
+ - 734763bc-455f-4ea9-bf7e-4d41879dc3d2
+ - Geometry
+ - Geometry
+ - false
+ - fbdb1ae3-30cb-4247-9dd0-7de919ced98e
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+ - 1
+ - Layer to put the geometries. By default, this input will override ObjAttr.
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+ - Layer
+ - Layer
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+
+
+
+
+
+
+
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+ - 1
+ - Object attributes. Layer in this structure isn't used by default, right click the component to change the behavior.
+You may use Object attributes from Elefront, or Human.
+See manual for supported attributes.
+ - 4fe371dd-6819-4fae-a451-042cfefa9fa9
+ - Object Attributes
+ - Object Attributes
+ - true
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+ - Where to store the file. Filename and extension should be included.
+ - 01ed4244-e39f-4ecf-8e14-875e5567fa76
+ - File Location
+ - File Location
+ - false
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+ - false
+ - C:\MDԐ.Ԑ.XHG..⠀⠀⠀⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀옷⠀ⵙ⠀ߦ⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀◯⠀ⵙ⠀✤⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗩ⠀ⵙ⠀옷⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀◯⠀ⵙ⠀⁂⠀ⵙ⠀△⠀ⵙ⠀ⵈ⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀⠀⠀⠀◯⠀⠀⠀⠀ⵙ⠀ⵈ⠀ⵙ⠀△⠀ⵙ⠀⁂⠀ⵙ⠀◯⠀ⵙ⠀ᑐᑕ⠀ⵙ⠀옷⠀ⵙ⠀ᗩ⠀ⵙ⠀ᴥ⠀ⵙ⠀✤⠀ⵙ⠀◯⠀ⵙ⠀ᔓᔕ⠀ⵙ⠀ߦ⠀ⵙ⠀옷⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀ᴥ⠀ⵙ⠀ᗱᗴ⠀ⵙ⠀⠀⠀⠀..GHX.3.3DM
+
+
+
+
+
+
+
+
+
+
+ - Default false. Control if Pancake should overwrite the destination file.
+ - a1c7f06a-3ee3-40c1-a858-5be09e57a21b
+ - Overwrite
+ - Overwrite
+ - false
+ - 00ada271-7e98-49fc-b0d6-342b19bf1780
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+
+ - The version of 3dm file. Can be 2 to the current version, or 0 as the latest version. 0 by default.
+ - ce0eee14-4b42-42fc-a63f-5563874f53b5
+ - Version
+ - Version
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+
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+
+ - Set to True to conduct the export. Use True - only button or Toggle button. Do not use the vanilla button.
+ - f3e38a96-ec84-4051-abfe-f4699a9e07ce
+ - Export
+ - Export
+ - false
+ - c2ce702b-9732-432f-a507-5d4c615d8b57
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+ - false
+
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+ - Returns if the action is successful
+ - f55f49c0-ee8d-4581-8486-bc6dc11b8150
+ - OK
+ - OK
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+ - Log, if available
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+ - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a
+ - Boolean Toggle
+
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+ - Boolean (true/false) toggle
+ - c2ce702b-9732-432f-a507-5d4c615d8b57
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+ - Boolean Toggle
+
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+ - Boolean (true/false) toggle
+ - 00ada271-7e98-49fc-b0d6-342b19bf1780
+ - Boolean Toggle
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+ - 59e0b89a-e487-49f8-bab8-b5bab16be14c
+ - Panel
+
+
+
+
+ - A panel for custom notes and text values
+ - d9f32672-3f93-43c0-8b1f-4770a18abf52
+ - Panel
+
+ - false
+ - 0.792724609375
+ - 83518a8d-f74b-40af-b86c-f903a039dd82
+ - 1
+ - Double click to edit panel content…
+
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+ - 1addcc85-b04e-46e6-bd4a-6f6c93bf7efd
+ - Brep Join
+
+
+
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+ - Join a number of Breps together
+ - true
+ - 27395398-88f6-45c2-9e34-ffa6612773e2
+ - Brep Join
+ - Brep Join
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+ - 1
+ - Closed flag for each resulting Brep
+ - b2d410bc-0737-489d-ad6a-e96a3271865f
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+ - 0bb3d234-9097-45db-9998-621639c87d3b
+ - Bounding Box
+
+
+
+
+ - Solve oriented geometry bounding boxes.
+ - true
+ - 9e937b3b-e920-44f6-864a-78571e67aa82
+ - Bounding Box
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+ - Content
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+ - BoundingBox orientation plane
+ - true
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+ - Plane
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+ - Aligned bounding box in world coordinates
+ - 8e3d31af-6c97-4549-bdbc-8700faeb7e3a
+ - Box
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+ - Bounding box in orientation plane coordinates
+ - true
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+ - Box
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+ - db7d83b1-2898-4ef9-9be5-4e94b4e2048d
+ - Deconstruct Box
+
+
+
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+ - Deconstruct a box into its constituent parts.
+ - 478e4cd3-c4e7-470d-990c-cfea3ade4811
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+ - Deconstruct Box
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+ - X
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+ - d63cf3fb-6646-454d-9d08-5d2ae6c89a12
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+ - {z} dimension of box
+ - e54ff38d-b029-475c-ae33-c2571135e4a3
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+ - 59e0b89a-e487-49f8-bab8-b5bab16be14c
+ - Panel
+
+
+
+
+ - A panel for custom notes and text values
+ - c64a0b0d-826d-4c3f-a8c3-c75591a4978f
+ - Panel
+
+ - false
+ - 0
+ - 0
+ - Double click to edit panel content…
+
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+
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@@ -108545,7 +109550,7 @@ See manual for supported attributes.
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iVBORw0KGgoAAAANSUhEUgAAAJYAAABkCAIAAADrOV6nAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACGjSURBVHhe7Z3Zc1XFvsfPX+Jf4IO+nCer7qNllVqOZWnpg5YPlnrq6hE8xwG1vE5lUXLUUkAQ6ioIiDITghAIhCEEQsIQAiGQMCVknslAgvez8/X80nvNa+218XjLLir0XrtXr+7f9zd3r95/+cuf5f8BBX79s/xhKfAb+zH+W7duNTc3Hzx4cO/evdVxhTYHDhyoq6s7cuTI/v37Pc2PHz/e1NR0+t/lzJkz586dO3Xq1NmzZ3mEXU9SoZ+Wlpbz589ToQfPLfTMV/x1v6IlA4ibQanfV1VV9fT0+HGfnJwcHx+P4AfonGPhQXMQ8uHYsWOMLOHkQBH86uvrDx06tGfPHt3FxaNHj968efP35empqSl40UaVcEapmtF51/Wu4ZHhjq6OS9cuXbxysfVSa/OF5qHZ0tHd0dPX09Ta1NXbda7tXN9AH7iOlaEUQQhrpIWwpqaGW8BMsivx3bx58/T0NF13d3ePjo76sZyZmQkDWOxZOvzwkMtYqbBJ2BgI+3r6gGfNjjWAt3zj8sbmxhWbVowMj4yPja/bua6huWHz3s1rK9e+t+S9ulN1t6ZvlQHBMa8UIlLJpVAyhyAePnyYvyjVhoaGN95446233gIG9AlKD/155cqVa9eutbW1tbe39/X1qXLhwoXh4WGaXb16lSsXL17kIi1RiTdu3BCEpYgyUngbIOzq6hoeHd51aFfr5dbvt31/uPFw7cnaqYmp8Rvj9Wfq65vq9x3dt2T9kg+WfUDl15lfyw4hDwCMVMoHCJG/2tpaVU6cOPHoo49ihwQAELa2tspWUQE2/iKyNMMiIqNASJ0G2Eg44NKlS5cvX2YY3I6Z+eKLL+An6ti5Xbt2pRJNIGRUqeaSUPisGZ1fv34d9YjCbGlvOXfxXGd35+DQIKw5ODiI5uzu7W4823il48qZ1jPXewotyw4hWjGJI+OfKtTHo+FeOODjjz9+7bXXpAwZNBWUqvQqdVQo0JoxF9K6qDbUpWYbGxuBcNWqVdSBefny5QYhhAChaETRAbt378bhyjajJHACYWdn59Tk1M2pmyjJX2/9On1zemZ6BkM4MDDARb5ikFzkL3WGjYLJvRQp0uSz3TdbzH8BOYpuh2rAWYoOFDZgAH5oZurI7s8//6zrgIdwo3gRYtQycgAdYXwqFDT2yMiIOOOll1765JNPpCGSQJK2DRqit7eXB42Nj/UN9fFveGx4YHiAKwyei+MT41e7r05OTV7vvQ6D5uiFul0VQQjbBhZ3biDH0Hfs2FFZWfnLbNm5cydXMDz6yHXglEiVUpDFN9988/ChQ3Sye9fuBQsWSDqhDnoVUFHFSCfxAxX0MAPgI1+Bop6LPn/ooYe4wldp4UnSHlLgubR3tm+q3nSp89K6X9atqli1YsuKWzMFCm+u3txyqaWqroqLyzctP95cMC5lKnNBBaztKTgamDF3PiCEvsWq9ff3421KuVOBcIgCdQiNHEBoE5rMHub8efNqdlfTz75de+fPn2/zR1PRP+KIouZxsIvq/DWlTWXevHnvv/8+AJuGSAJMbBs53rDFjz/+ePXKVQaw5+iejp4OoFq8fvE3G75B/hjqiZYTpy+cPnL6yPpd65f8tGRXbTpbngrsorgw8E68TbmpCBweZiAkICr7hOr74IMPpEil9HA1ITq4YiFoBq2x9lRQg0Ia7GECLk5MTMBDiosbjtS/9D/z/1rzt/9qWvDXPS//94L5J+oLSjVhoeft27cr7VCKIrVIiekjdvQGB2P7UfIPP/wwLjTj6R/qb+9ob25r5m/L5ZYCJ92cRqmiWk+eP9nd381XwrVMJQZCuIwRY7qRPzg6bBAAAE6M/rnnnmPaagYYysug7tByJ0+eBFGUHmIB0lzBetE/5orrtKHwLIWSA339W3fvWHpy86r2qqUNGzdVbO3r6U1OAkaiYWfDT3eBGYDhaTNgBglDqEAHtMKiRYsCx8Oj4UX/V5m1UeysE0GIjWRWYRYOlie8ozD0hQsXfvjhhzZcfA3pWzAGUQoyh/xJ60oK+Yo2uGpIKrFEROAfOxlrkDkuZJogh1Nmwa5g4yPKEzj5Cjg3bdr02GOPwZ08qH+wn3Ciq6eru6+bXAzzgpu5ODLKhEaGhofI3VBn7rm7o4qh4yEkkquoqECeAikIAES42EJ1x18axzr9ycHI1jIDhICHnlSYq9wvsPERQZT7LaWqwnVC1Y5rHWfbzpKIIa/27cZvScSsrliNjbgxdoOLJG5+3Pkjle+3fk92ZubmTNnjwkBiIRNAuG3bNoTM04CvEBo51vzlW4bIFfka2Uif112pIJTkIWQSOCBUaGSwhfk48O7A0EBFTQXx+8pNK4HwX6v/1dvXOzU+dfT00eqj1e8sfmfh/y5cV7lu37Hbkp2JgBDXgOG6DYCNK4ggF9GKsB51YjWuoxUxclwEV7kqBYUyMkLFnFj5sSgclCp30ZW4gRvxeuwW3Zi2oAlwi5CSJO4lbRApJQgRO2ROyMXeq9B+7MbYtevXSGc3nGlAFknEjI2ODQ8Nk47p7e9FhbZdaas9UcvHifGJ300KSWR7IEStQ2tpTuhLYkyYIX9AIkEEBrBxUcdAIhzc5UFO8QnXoQgoJowpIyJlHkrSDn1u+YdAPMAJwKQ2JXkJwVNvgrCgckjQTBYSNKhKEqHk2Ar++eQUmFnuBi9hFGzLUBLZQngTjpYUQjg5HYyJggmE34ENUAFGiRLFagUOnXVY5MuADT2ANLgyQzrhFiXb6FYyjfwJGKXZoku0g0fkSv4hDELTnLJ5SGEq8ASh1gsLCf2pglNGhXQMwQNzgTKFVNtsLuImEcZ0oV6mUgQhDovoC7kBwFYMyJK8/fbbojuYIXMdHR2ERFSYg/JJUn1UGKjcTtrrL71RgBmEaGOpQulSFb6igXvFvgqsSLVGWNwwCOWMIHDmZ2YOHIEQhXnp+qWKAxVdfV3rd68/2Hhwe812gATOioMV5NW2H9hOaEi9f7g/LzPv72fOI2WlCZ1J0fo4CKk1SokwlniOwgI6fg0Ut4Vp6KgIgWZIJH62spTlLrB24GKknhsIoXxOlIqET2n9JGYvUA8DYX9f/9T01J66PRv2bHhv6Xs7D+/cun8rDg4DaGxpPHTi0LxF88D1aNPRzp7O8hFkDkITAlBBnixJRrL4+eefR5IgGVKF5BUy8TdvFkKi/n5CRvQVXivYY37gA4hS0Crj49ARUZY+UZ6XCh8lrCVOiQ61LBVYYCZXkQo88zmpMObM4JkiRXMUljy7rpKLISPadKEJ5GRHegd7h0aGzl8+39nb2TPQc2P8t0XQEmcdeHt8XPjTTz9t3brV9okwRGiHLCKR5CmeeuopOBrVhEVZt24df0l28yR0MpoZgQZI7ZdBTKmDsba6uABgLClA6/GAIiYcDSGGAH6ShVO05/qcJYJnECqU8hTZwnJAFdZnPIRkwuBoN6iQRwoPopGefPJJhBIyff75508//TRpJ+RSXg9Q0UwLuXAAZCVfijbmCjbVhXDZsmUrV65ENbEigVpOMn/LaAc2hhvoDVVpSRYqaX3O6Lii4JFe78RZgRra8jQ5MQl4hYzMbCJemXf+El1wXcmp3AvTj4cQJekGFQwCMJTIpv7VV1+xWQbZIueEyt24cSPua9p84NKlS7/++uvvvvuO5By+klABdRR1GJwoA5aFTdvTTMvL8oEpMJBS0qjN5NFebDhoDYCwp7vnXPs5NsgQGm7YvYHNFpUHKtl4MToyurFqY9vVtp0Hd1bXVZOjOdhw8HfOzhiE0AjBMldQ2kzpTfQk0oZ2hQeTiJHasKp39913g99999332Wef3X///YsXL1YyD6HhW0SWPhFfucE8ResDFAT39ddfV9JAa+WKSilUuIJ5RqsnRyVVS+1g6+nv2VK9Ze2Ote9/8/759vNkaogF2TtTU19DdgZ3ZtOeTVw8ff406/hlCAt925/8pFeCzSCU0XKbKQvDFS3XpU2tsWRx1113sceC5VlS5Pfeey+qWLtvcElACyOKtFHBoCLr1DGoJqaPPPIIPjADAD8GZtlz5QcYDF1hFFlmCVzNRtkqRkwFnhvak50hKXO182rN8RptoiGCZymYvMyVzitsYgNIEmzkwdFY/xEQilIuhFrkg9BakIIi8L6rSGUeouWSeyEx65HvvPMO68yB/ir9eJydL7/8Eg2MDlCeNuwR3AXw2h1ihXSM0mk8F0sPlmmBZMwoBkZVSMRMTJCdAaTpqWmthio7g/LkH18xSDe5mCOWqW0h3A1FIJkCeYaCKmNjCxRRKMZfbKGbJFOwyHUpQyVokCq3DR4TYGBTgTChHuZ2tYRwaE6LU5PrcLWE+njXuGOo3FQogrpYip0W7H0qjGRinEwNRVkRi6aIKGwbmLywHEs8hLTwuDOMBuRgNBkbPFLawJIow1dffRU1CC1cKYRACi3QacQSoIVTSt2yP9wOhwIwSIBxwpARKgg2tCU3ur2lRZH29MaQUqEIhEODQ2xw2n1k99Do0I6DO4gL2TIDioBaebiS0PBA44Fjzcd+rvq59UprhlElvGXOI5Uj4BakDQBwKzxBhXUNx7F+jReK44csvvzyy4SGEMKFQe41V5Qx0GoGlbReq2c+FhciRqVIoXXLCJHF5DuhaTnQPzA2MUZShuzMh99+eKr11C+1v0ils2uGbcH/+Pwf7IA6dPJQ9bHCJqAylTkIkSR/0ZQwcp7FJhsNEomeJM6jmfaK4TSWaaxut8owcIW/sJobXWR+OvwakRz3uDzahAgjtl1r6x7orm+uJyNa11QnndnVX3BWSZCyD6q6vvry9cuZRxV74xyEYV4ZFiICQuXEPY/RakOOGt/fFcInCLV0lVD9RpMDPaEtJkkcVEHo71A6JpbuOTYoCUKIiHSiGxWcydHCLKHZcFuiVxtK/JYHaflGIWBeFMFHTahLtV6I2WNZqRBKzRQcK614FxJMtwpbXvmWr/RXy3O5lyJ3Jq0UImp6dwkiuhQEQnBNGyBmw4CnIAoR+e603ZJNTQ4h0ycQJCPT09uzff92Vue37N3CYIgL+UiwyH6LlraWqiNVZy+eJcwokWsDby8JQstNuxAyAeSv9A35CUmviCLHtHIqCMnOsIpE/oXsDNtkwGzZhmV9/X2T45NVtVXg98/P/7l6++q/L/z7geMHkMUcw0HrKimEGHmAccmqTBt6TAu2+op+LX2aEIMSm0lpeyRemVJ/ScJYqSDUzgRSMGyZ2bZ/GzjtOLADzr4xeoPX1QoCerCSN9aQyFMtpxjk7wyhrQCL6NrvRAX8tLYANd30aYnYJLxdUmhBIbqdj7jHgQsCqHfizmggU0HIgwq2bXxCe2dAiMWKwibS/n4uFrIz0zN676mwd6Y8JZEUYiMJ9fSSkQoMJRGkrn31lMKbWrd97yECxwC0aYMxYBf10kwgB0BxMm22EhLYJjmEmEwLtAoJGopyNLO5UCrgp0fwLXxTplIEYdibTVwnZ0ay2LKjSrBpfHC97F+OBimhCKoZyNkCBeCR/bE8uKcfICQFw7pHhCCmgpDsDIvy+xv2k1rbV79vcGSQvwXwZmb2HtvLi2qN5xprT9Wu3bmWeqpJpWo8F1Rod0xY0Qsu8pjhPkUR/MUrg68zpyhTjTWsMSSDgVCnxObuUkYghORsIxJDqSAkOzM4OkhEv3Xf1o9Xfrx6x+pFPyzSQ2saaupO1y34egH4rdu17tiZY7nMNLCT+Deb3NsUihWUw7+3ClKJ2IZUvnEH9ox46dVwVLq/sJzJSmR0BJIKQrniZ9vP8pZh5aFKNueTThOJeF2NPTUIJZk2MqVsoikfKdJBGDgOhFLb18pR0IosP/GIhDlVOcmBvh/XY53SVBDafiKXLIwz9in5wpkDhDD+li1bCDzKV7DE5KAtesmXBG5vySEkD0dy3293WJpG1qOtUo7fMvg5CHGFsfYqOhMoYa6PeENr32UtuFSU2NXjEtFNDqH25Ef4gLfnqyIIWbYFNtb2YCJQgV56JxTH3b+rzE0r4+kQdWiLkVZN85qbuyuCnlnWZ4QlghR9OytrlmDTXlM+ZgZDp6akWklOkmF32xRByEYEwPvhhx84KwL/G0FULIgdYg6ss+N86pwJLA0mCrC18s4kn3jiCYaLroPKFC08efY6pP1ID/Ss3lRE0PJZGqaj/d0QHQ5mfYZJ6S3fDEVLbzpRIi0wCdszVK8UIk/PPPPMHXfcwR4I8BOEwEa8TEHB0oDAS3t5KRbLv/DCC6za82C+xWK5mypKERpCBZ7l7kKDsiUu0EeMh3gX2LS4hp3T6nQp40dXocA0BbghR3HUihgyUwQhnxE11m9ZeecL+I59FVQYh7wsuelahddHqVNu5NAnXiMNWxYuhQrcCzujBqSR8JgCV+lKfIRuBzbtwoIIuXRonaC66Fl6tfSiLep4kfjqRRBK8HWYCwK3Zs2asJezPdPjHAQ27RN15Ttt6w3/DbHQzJFC9vKU40FQBPAQF22BzL2QAEm+JSAaZlhBSkIyM+eRoqDQnHprSweqJfRI4QX4Ipd180DCuRDKqUGHJxxbEiSIF8npyGLxt3xOL4pN6qTEAoT4nkwNyhRBmGS2YSSGBJlvj70Rx9ikUOoUQjMNxAU9oTgsQ+FG9IdegBV+0JePsePJ3CD6xdXkuDJ3VBGJBZ1rlkNoDy3KuuWJxLQLoVBE7nVeWCkF5PRKvhwNPpaVF1nMyUWXSpGyqrVhw4Z8IMR2hq3vZGZY90ZyDnIUk/NptpZAiPnIZcyBnWC6cpmIKVLp/DkpBIbAgqnjus6B9TcgL4rh5NvyzZxFruiZK5gLLKmw/ANBiL+iML0IQmWw3KJoBoQwEvLs/W24SF7G3jYKA7JwrEBQKWzwmn37N6IQaIZBKNjwsMNye6n8+IQQ2lvQngnFOnQ5SiGKlMhHuaqoTYhQB+RwfiAQ94RxtFJxOgcvEAkdbILuJqB0D7HiI/DwVfQCUBiEYi8eDWm0eOkWHoeGwLbRLOHWUBglWpEyYGInnfDhmQgDYCLRifh8IUTzKQMaAyH46UwPIAy0Rgq36Y5Z6QQg8hFgqQNJ9NI9/gi+X+CysBx69HNEkOCB0BQmo4IT8UU9uyCNjfiWnmFVJTJiCxoFCPWKnb8wKabJaANx4i4djmoHezAj6wRqIKPsbUDQ5YuVovnlzuio0XgI9R49z7OKRxYNQvoCMHiTOZBAkaamAtuSliOSC0yMITdQjQYsuNPY/14H8KCl7aQDnGliCehIoU+Yg0pgvgaaQlCR1T3H0A409Fd4Cn3aNg7P6yXE5pAsDEJA4lsmwpDgG7iHoA1HXT+yoaPJpfp0soh7zBsUpmCPKDIKIrLLrC7ZQyEkg+wvxEn0CHvStQ4sVxvr0YXQ1aJ6tYCJoWChS7QUQmidI+Mv9ABCWGXoS+aBrpR/UBodMtFzIIRwPeBRaM/gRaboAsnoTXs4/IUR8jh687xhqVkzWaWOiRzshAGdlqTDenRsBP2riCawLzwBU8KaAhUi691HHeInaO3HXAxUhkGHcEyRFNKFv/AAsQyF51n6JhZCF06mwcNQsB6EgAeRZTKBy9/WA1YNRtFs9YMYMm/8Zc70DITa7uAWnoUEcJfLzhEajK9ibaGN1s9qQA6EoMVXOrDT4xmAMegyGNCi2Ck/kFRKBSBd6dRBD1b4aKdpgijrEPr1iCIIZbo8RUTRRatT0Q8PyE1ARGKPqcAwhJ3jFJ0qkwViJkzSf1ITA4BJdSCJvyjrm9CXUWgfGxdqIp6NHRJZbQnTaVeBVgPLopPhdKgpRRLGOBm8QAVdrnNFpzHqxBUddyRJRWNxGBe/BwJ42tybMTuDs6cHCMJoGIBfxxkwMc/k9UpGoKcD2+r8L2SU0TOrQDAkjn4TkNwRNY2SBMKw4EdOAENFzYYtUZlHqkBIKBqT2Zl+ElPDUkqVliIC6pfDuJB4OKakBBsmWkeCUGAT7SYtvHg+NSXvy2QX/Bg6Dw48FkgWi95cFOkEyHWwpXbI8ZTkwpQqnHcbZ4DQPDgo4J5rFpudYTr63TJ5iyoMRlteUKpyfISljKLOzeEWjnbhzVwIzgJRkRRC5dgI3fXXtRKrQ3M1AdelBDAucgWuBCE0fgSEenThR1ZmTx2hpZ3XzhNxVjP/DEoqOFNB6ILHaCFobI4CpnRzpAiiFoUEpw7UlO+NRtUpcbKIaiOM1ZgKlJEPMadIQZ6DuuY2md+KSprgKdhhSmDpmm5ZTb3UqdOscOSwZGEQ8i0WCAhlYzzvcCOduF6KpVLhkaEx1h0ej04VWeyk4+gEXmxeRn1iuvwQyk+RqrST/XRWoygsQygUNSmtVGgTTBGEjIavteZADESPOsmFgqKHskR4FPEap/zzQxD0zi2xmyFgC6QQHvS7S8CMS4kuDczs0B451lvgtwFCnkL4FGHXgQpSGHjwXELwBCGK0TaRmCOGwMl/8bCpWUpGpbjWvDnFhZhDb4JNHoogJPKnEXSnkX6fACrzMOqCEFv6+OOPs7IPp8RCSHv9MIUnB8ZHbe+PyMzBRjC7qZEMspX8Fu2a0TqqpwAV0uaCl3Z/EBPxbOXSlkGd4O5hUGlLO3FTKlcCIynkI3h5E2yoLPw6NCSjVw4QnwISy5mEjqK4IKS7Bx98UD8ekwTCWO0USDUEV34pj0j48m1ywMJaQmj3ZUoGYKd4plKb7ozgUR1TpIcKIUURgQrGZNSsoGykwBaE2Bdvgg2vgY1PYa8FeUjMZqcVK1YkVKQZ8OMWpNaOb0eB67Ct0hGK7YGnaAeU+FhMnGQzf+A04XisknY1WuaMCsYMJedaOHdgijpcR0bhr2U2qJO080IIKnSd8B0lLLPZXvR79F0KEhT5egoECryX9phrSbx+i4THpVo5ioUqrAHkk1mCXggKRgSbopSspccSVrhdCUj3gDB6RqToMGLxxyOFDJV+lFY0KcTkeRNsqWQFYZVoq1PgCXOp8Q7Q2rT358C4Aodie9zkDk4s8gd+5ikAJyjCleWGUOBpXtDXdIy282YoYdtHsYKo0IhISRBa1ChuMwdHipSkVUnZGfQMmh2FLp8YJJRYwlpgOCVzKuhnnCCZWH/B21TGVo0BTz9/4TLEbYBQ4CF28v3k35fDDeZBUIwphyWbzFjqJGM3p6jAQ+4MFVjcmyNNJYVAohwphQremkLAwpEds8fiiu7AiQjq114D+wd75oMgKgmAwvR7elyntzJJIeSgKFGpzCQ00nsUgUs30RejtbdkS15M7FYgN6hQt8q0CUJMKbT1Jti0whdbcE0RFGTc1Fq0RwoAQBi2Pxo+YkrR77/rRIZyQCiDp99t06Im/ESKQy8jpC3RWUAJOm3oHyQiXDPzZVxJ9dhCIERjrV+/vii0T8V0rlmKDSrQrriUcmfc0JCPgMcSTHSArMR/OSBE5uxXR6FFbIYsWlGhP0AoIvgBOUgfbQWlvWEsunKNpeug2g427aCPP8Ar1rWLhVAzDzySLZZq3IXco6Vhw3zdGZHS9t7lclwHEhYGobKdWvOL1qISOAvkLY50c+KMHCmU0bl9EKaytdYYFar1CtmAWH5K0gA21w4EfqFBb2/xFIhS4ntMDBKjEAih5Tm1/hcxSImgRfHm3chPdvdk8BW93VYItV8tcOFXS4l+jHXAjVav8oUQWn/00UdaOKWQZEfFWYofza8d/thIArjkb/z4pVBRIAIkw+ZBwoOl7KVHBC0odOVSokkpgjDCwEazdhJFiqeK24nWCtoacIv4hnSfGx1qmRD8tD8RjZEjhHSFFeQkXN6pU3QsjSQp5C9yoISwfBxOEtCyjtZeItQJnKH1P6OY8BP1BSH1MEVqGLtW0Eyjp2c9ogjCtNsUbJR+CAFAMYaW6XFhtH2PACNw/kCIQuNbLYwoOoRqtmiQO4SiC7+t4XeVeSjEYkhr165dvny5Usd6kw8+kzfPIAtnrc0Wglo7kfXdd99lPdbW4l38zE8BQtvO5MqGhfN+f1UBRiDwRRAqJZFhcRUIlSRD3Wkjhe1ApM6EKST0gFCE8Bc0Fd8SO+rIbzrxOBe5Q2g2xnM8IGMDQu1yuOeee+68805oAsXl9aBaEU2+JcFm7zxrH6wmBZwPPPCAVJ8HP4PQNWkuhNyixIILleEalk31KlK4T1s2Ui2xAqGdCgVmAsDjaoJixLlMEAgpDNvRWw5FalT2H2kMhGBGJMO2Bn7NhKezICPm0+5elArCpwCJeRUO0pvlYMqSJUueffZZaUvTnx6cwkRQZtKvLf24uh0WQSg24S99aaeNXYn2oLiL8C5i24+mx2xpFujOcD0Cv3JACI+ib1555RUIpLFh/ICEOiZAb6Fq/y5/V69e7f8p40B1wgIqe9TcFGugqvRsxYOAWh30Oyy6HiaCXltoD7PsQKxe1bN5sBsgB87NLgYmu6NvKQeE0OXTTz998cUXZW6RRTJqliTCQdWuOC4CCXRIEm+geHB/LP7z873IpT0y5vIYtQOtXYQVDHBnPPyi50XoVXnANICdWU+xBf1YPDI0yN0WQmiUHj+yIVuIJkSZl3hANBAiu8r7B7r3MmweCM0EerwQc0QjRDBUCl1xpK60kF+vKkCW+0TBIiZh1Qz4lUMKNS8EUad65FIEYbQ/KMDM54RuFvW7qJtoelSrX7K9tjDQ5kna0DwAaZseaYlC54q5dmie8kFIzxm29kaYcH2lHbC54KdOIhJsNhhtlnEd1MCstxRybICQCEI9THoVq6BFLAiKXMJQ4h3+lhXC2Bd9Y9EKbMCY8ZMxgZkLToDeg9GrMLEUF+tLpclVURDpsWJKc0er0BhbGCaOXDd/1fWAgRDjn0umOFAmSHTpzbxsUEXcBYqZj1jTdhgITVE/gSbQD4+cTIsWAlWoH9rAWSSVQs8gpNDhX9ltaVqCp+jAILO+QgTL90uS2XhCRFc+Om0Yrbcp5CcGSq2gTSLQjCELhDZnbfe3h8GSPDt28SgtkNgq+ffZaF2Ou4SfG7zHCp87DCDU+xL+KJ5+FOAnUaFZFKk7Djk4UiMAqdStXuTEPJBCDAzhk18kzYZ90g/S2RoTjyiHLk0Fs1SOBEUmLW2BVuDnX+KXt+EP8KP7zy6F2kOgPJympMADWSQW1mFmpRR6oB/e8SDitN6o6KMempZ2pbc3Xz+hr+F/ogX+yKInF6p1+bB0dtjgc4BQXTM3bZqLTejE0pGJIXZARZ+EWcg0Eqk1ASp8JMVsDW4nkCYlgZnM2HnJE9TCoXSYR1umMoH2uOwQ0oV/ZZlJml4Vrkkm5tHPyC6Wj4WnCP+Wr8he0izV736mHYzbXlOzmCrt1GTk3MS3kjgmAGlNYG4QBhpk06tuHiAJ+eTWMs+EO8qRSxrnciRW7PBE4rTOp4uQi58YQguHqme2rNmlkAczn4hXAqRX5fIk4VmapXpD0zxbYpsyhYxSJAzMnM+Ec/GIb+DCoegDhHpZImEU6Ge1IgjTuvt/tv8PocBvO9j+/O8PTYH/A9yQQazAKvjvAAAAAElFTkSuQmCC
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