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authordusoleil <howcansocksbereal@gmail.com>2022-09-16 03:11:11 -0400
committerdusoleil <howcansocksbereal@gmail.com>2022-09-16 03:11:11 -0400
commitbdf007968b86af4fbfc908251ea078158fe07d6f (patch)
tree759db74ff3fef5054fb428ba3a439d22d6b55448
parent5a1d6a890d06f3d98cf0027c435ae23693cb81ae (diff)
parentd3ff9ce9ee3b4aff95e1cfbf74cd246d4cbc9f04 (diff)
downloadgodot_wildjam_49-bdf007968b86af4fbfc908251ea078158fe07d6f.tar.gz
godot_wildjam_49-bdf007968b86af4fbfc908251ea078158fe07d6f.zip
Merge branch 'ship-development' into mika-pr
-rw-r--r--character/fps_controller/fps_controller.tscn3
-rw-r--r--maps/main_stage/assets/light_fixture/light_fixture.blendbin0 -> 929912 bytes
-rw-r--r--maps/main_stage/assets/light_fixture/light_fixture.gltf100
-rw-r--r--maps/main_stage/assets/light_fixture/light_fixture.gltf.import1065
-rw-r--r--maps/main_stage/assets/light_fixture/light_fixture.tres13
-rw-r--r--maps/main_stage/assets/light_fixture/light_fixture.tscn30
-rw-r--r--maps/main_stage/assets/mast/crows_nest.materialbin0 -> 816 bytes
-rw-r--r--maps/main_stage/assets/mast/crows_nest_albedo.pngbin0 -> 877299 bytes
-rw-r--r--maps/main_stage/assets/mast/crows_nest_albedo.png.import37
-rw-r--r--maps/main_stage/assets/mast/crows_nest_normal.pngbin0 -> 819659 bytes
-rw-r--r--maps/main_stage/assets/mast/crows_nest_normal.png.import37
-rw-r--r--maps/main_stage/assets/mast/crows_nest_rough.pngbin0 -> 454680 bytes
-rw-r--r--maps/main_stage/assets/mast/crows_nest_rough.png.import37
-rw-r--r--maps/main_stage/assets/mast/ladder.materialbin0 -> 775 bytes
-rw-r--r--maps/main_stage/assets/mast/mast.binbin0 -> 70344 bytes
-rw-r--r--maps/main_stage/assets/mast/mast.blendbin0 -> 12920960 bytes
-rw-r--r--maps/main_stage/assets/mast/mast.gltf382
-rw-r--r--maps/main_stage/assets/mast/mast.gltf.import1065
-rw-r--r--maps/main_stage/assets/mast/mast.materialbin0 -> 810 bytes
-rw-r--r--maps/main_stage/assets/mast/mast.tscn14
-rw-r--r--maps/main_stage/assets/mast/mast_albedo.pngbin0 -> 3902862 bytes
-rw-r--r--maps/main_stage/assets/mast/mast_albedo.png.import37
-rw-r--r--maps/main_stage/assets/mast/mast_normal.pngbin0 -> 3930689 bytes
-rw-r--r--maps/main_stage/assets/mast/mast_normal.png.import37
-rw-r--r--maps/main_stage/assets/mast/mast_rough.pngbin0 -> 1818869 bytes
-rw-r--r--maps/main_stage/assets/mast/mast_rough.png.import37
-rw-r--r--maps/main_stage/assets/ship_control_panel/main_control_panel_mat.materialbin0 -> 823 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel Base Color.pngbin0 -> 34142 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel Base Color.png.import37
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel Metallic-steering_wheel Roughness.pngbin0 -> 236165 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel Metallic-steering_wheel Roughness.png.import37
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel.binbin0 -> 21364 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel.blendbin0 -> 2892872 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel.gltf261
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel.gltf.import1065
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel.materialbin0 -> 2122 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel.tscn14
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel_normal.pngbin0 -> 749459 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/steering_wheel_normal.png.import37
-rw-r--r--maps/main_stage/assets/steering_wheel/wheel_base.materialbin0 -> 1859 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/wheel_base_normal.pngbin0 -> 824943 bytes
-rw-r--r--maps/main_stage/assets/steering_wheel/wheel_base_normal.png.import37
-rw-r--r--maps/main_stage/assets/water_pump/SCREEN.materialbin0 -> 889 bytes
-rw-r--r--maps/main_stage/assets/water_pump/idle.pngbin0 -> 7687 bytes
-rw-r--r--maps/main_stage/assets/water_pump/idle.png.import35
-rw-r--r--maps/main_stage/assets/water_pump/pipes.materialbin0 -> 763 bytes
-rw-r--r--maps/main_stage/assets/water_pump/reset_button.materialbin0 -> 786 bytes
-rw-r--r--maps/main_stage/assets/water_pump/screen_textures/idle.pngbin0 -> 7687 bytes
-rw-r--r--maps/main_stage/assets/water_pump/screen_textures/idle.png.import37
-rw-r--r--maps/main_stage/assets/water_pump/screen_textures/jammed.pngbin0 -> 10797 bytes
-rw-r--r--maps/main_stage/assets/water_pump/screen_textures/jammed.png.import35
-rw-r--r--maps/main_stage/assets/water_pump/screen_textures/running.pngbin0 -> 9631 bytes
-rw-r--r--maps/main_stage/assets/water_pump/screen_textures/running.png.import35
-rw-r--r--maps/main_stage/assets/water_pump/start_button.materialbin0 -> 784 bytes
-rw-r--r--maps/main_stage/assets/water_pump/water_pump Base Color.pngbin0 -> 66266 bytes
-rw-r--r--maps/main_stage/assets/water_pump/water_pump Base Color.png.import37
-rw-r--r--maps/main_stage/assets/water_pump/water_pump.binbin0 -> 75824 bytes
-rw-r--r--maps/main_stage/assets/water_pump/water_pump.blendbin0 -> 6494140 bytes
-rw-r--r--maps/main_stage/assets/water_pump/water_pump.gltf522
-rw-r--r--maps/main_stage/assets/water_pump/water_pump.gltf.import1065
-rw-r--r--maps/main_stage/assets/water_pump/water_pump.materialbin0 -> 825 bytes
-rw-r--r--maps/main_stage/assets/water_pump/water_pump.tscn40
-rw-r--r--maps/main_stage/assets/water_pump/water_pump_normal.pngbin0 -> 5272419 bytes
-rw-r--r--maps/main_stage/assets/water_pump/water_pump_normal.png.import37
-rw-r--r--ship/ship/ship.tscn415
-rw-r--r--ship/staircase_1/staircase.blendbin832604 -> 4820720 bytes
-rw-r--r--ship/staircase_1/staircase.tres13
-rw-r--r--ship/staircase_1/staircase_1.binbin0 -> 12224 bytes
-rw-r--r--ship/staircase_1/staircase_1.gltf62
-rw-r--r--ship/staircase_1/staircase_1.tscn33
-rw-r--r--ship/staircase_1/staircase_albedo.pngbin0 -> 2619009 bytes
-rw-r--r--ship/staircase_1/staircase_albedo.png.import37
-rw-r--r--ship/staircase_1/staircase_normal.pngbin0 -> 472365 bytes
-rw-r--r--ship/staircase_1/staircase_normal.png.import37
-rw-r--r--ship/staircase_1/staircase_roughness.pngbin0 -> 828606 bytes
-rw-r--r--ship/staircase_1/staircase_roughness.png.import37
76 files changed, 6785 insertions, 74 deletions
diff --git a/character/fps_controller/fps_controller.tscn b/character/fps_controller/fps_controller.tscn
index 1472f15..b1d9cdf 100644
--- a/character/fps_controller/fps_controller.tscn
+++ b/character/fps_controller/fps_controller.tscn
@@ -8,6 +8,7 @@ height = 2.0
[sub_resource type="CapsuleShape" id=2]
radius = 0.374691
+height = 0.0688557
[node name="fps_controller" type="KinematicBody"]
collision_mask = 20
@@ -30,7 +31,7 @@ collision_layer = 0
collision_mask = 16
[node name="CollisionShape" type="CollisionShape" parent="ladder_detector"]
-transform = Transform( 1, 0, 0, 0, -1, -8.74228e-08, 0, 8.74228e-08, -1, 0, 0.0169024, -0.58521 )
+transform = Transform( 1, 0, 0, 0, -1, -8.74228e-08, 0, 8.74228e-08, -1, 0, 0.0169024, -0.28562 )
shape = SubResource( 2 )
[connection signal="body_entered" from="ladder_detector" to="." method="_on_ladder_detector_body_entered"]
diff --git a/maps/main_stage/assets/light_fixture/light_fixture.blend b/maps/main_stage/assets/light_fixture/light_fixture.blend
new file mode 100644
index 0000000..33de7a5
--- /dev/null
+++ b/maps/main_stage/assets/light_fixture/light_fixture.blend
Binary files differ
diff --git a/maps/main_stage/assets/light_fixture/light_fixture.gltf b/maps/main_stage/assets/light_fixture/light_fixture.gltf
new file mode 100644
index 0000000..f1dacb0
--- /dev/null
+++ b/maps/main_stage/assets/light_fixture/light_fixture.gltf
@@ -0,0 +1,100 @@
+{
+ "asset" : {
+ "generator" : "Khronos glTF Blender I/O v3.2.43",
+ "version" : "2.0"
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+ "nodes" : [
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+ "name" : "light_fixture"
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+ "meshes" : [
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"
+ }
+ ]
+}
diff --git a/maps/main_stage/assets/light_fixture/light_fixture.gltf.import b/maps/main_stage/assets/light_fixture/light_fixture.gltf.import
new file mode 100644
index 0000000..e2b8507
--- /dev/null
+++ b/maps/main_stage/assets/light_fixture/light_fixture.gltf.import
@@ -0,0 +1,1065 @@
+[remap]
+
+importer="scene"
+type="PackedScene"
+path="res://.import/light_fixture.gltf-64bebc36f543e64db1586a730c386402.scn"
+
+[deps]
+
+source_file="res://maps/main_stage/assets/light_fixture/light_fixture.gltf"
+dest_files=[ "res://.import/light_fixture.gltf-64bebc36f543e64db1586a730c386402.scn" ]
+
+[params]
+
+nodes/root_type="Spatial"
+nodes/root_name="Scene Root"
+nodes/root_scale=1.0
+nodes/custom_script=""
+nodes/storage=0
+nodes/use_legacy_names=false
+materials/location=1
+materials/storage=1
+materials/keep_on_reimport=true
+meshes/octahedral_compression=true
+meshes/compress=4286
+meshes/ensure_tangents=true
+meshes/storage=0
+meshes/light_baking=0
+meshes/lightmap_texel_size=0.1
+skins/use_named_skins=true
+external_files/store_in_subdir=false
+animation/import=true
+animation/fps=15
+animation/filter_script=""
+animation/storage=false
+animation/keep_custom_tracks=false
+animation/optimizer/enabled=true
+animation/optimizer/max_linear_error=0.05
+animation/optimizer/max_angular_error=0.01
+animation/optimizer/max_angle=22
+animation/optimizer/remove_unused_tracks=true
+animation/clips/amount=0
+animation/clip_1/name=""
+animation/clip_1/start_frame=0
+animation/clip_1/end_frame=0
+animation/clip_1/loops=false
+animation/clip_2/name=""
+animation/clip_2/start_frame=0
+animation/clip_2/end_frame=0
+animation/clip_2/loops=false
+animation/clip_3/name=""
+animation/clip_3/start_frame=0
+animation/clip_3/end_frame=0
+animation/clip_3/loops=false
+animation/clip_4/name=""
+animation/clip_4/start_frame=0
+animation/clip_4/end_frame=0
+animation/clip_4/loops=false
+animation/clip_5/name=""
+animation/clip_5/start_frame=0
+animation/clip_5/end_frame=0
+animation/clip_5/loops=false
+animation/clip_6/name=""
+animation/clip_6/start_frame=0
+animation/clip_6/end_frame=0
+animation/clip_6/loops=false
+animation/clip_7/name=""
+animation/clip_7/start_frame=0
+animation/clip_7/end_frame=0
+animation/clip_7/loops=false
+animation/clip_8/name=""
+animation/clip_8/start_frame=0
+animation/clip_8/end_frame=0
+animation/clip_8/loops=false
+animation/clip_9/name=""
+animation/clip_9/start_frame=0
+animation/clip_9/end_frame=0
+animation/clip_9/loops=false
+animation/clip_10/name=""
+animation/clip_10/start_frame=0
+animation/clip_10/end_frame=0
+animation/clip_10/loops=false
+animation/clip_11/name=""
+animation/clip_11/start_frame=0
+animation/clip_11/end_frame=0
+animation/clip_11/loops=false
+animation/clip_12/name=""
+animation/clip_12/start_frame=0
+animation/clip_12/end_frame=0
+animation/clip_12/loops=false
+animation/clip_13/name=""
+animation/clip_13/start_frame=0
+animation/clip_13/end_frame=0
+animation/clip_13/loops=false
+animation/clip_14/name=""
+animation/clip_14/start_frame=0
+animation/clip_14/end_frame=0
+animation/clip_14/loops=false
+animation/clip_15/name=""
+animation/clip_15/start_frame=0
+animation/clip_15/end_frame=0
+animation/clip_15/loops=false
+animation/clip_16/name=""
+animation/clip_16/start_frame=0
+animation/clip_16/end_frame=0
+animation/clip_16/loops=false
+animation/clip_17/name=""
+animation/clip_17/start_frame=0
+animation/clip_17/end_frame=0
+animation/clip_17/loops=false
+animation/clip_18/name=""
+animation/clip_18/start_frame=0
+animation/clip_18/end_frame=0
+animation/clip_18/loops=false
+animation/clip_19/name=""
+animation/clip_19/start_frame=0
+animation/clip_19/end_frame=0
+animation/clip_19/loops=false
+animation/clip_20/name=""
+animation/clip_20/start_frame=0
+animation/clip_20/end_frame=0
+animation/clip_20/loops=false
+animation/clip_21/name=""
+animation/clip_21/start_frame=0
+animation/clip_21/end_frame=0
+animation/clip_21/loops=false
+animation/clip_22/name=""
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new file mode 100644
index 0000000..bbabd53
--- /dev/null
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+[gd_resource type="SpatialMaterial" load_steps=3 format=2]
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new file mode 100644
index 0000000..d340c5a
--- /dev/null
+++ b/maps/main_stage/assets/light_fixture/light_fixture.tscn
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+[gd_scene load_steps=5 format=2]
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+[ext_resource path="res://maps/main_stage/assets/light_fixture/light_fixture.gltf" type="PackedScene" id=1]
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+height = 0.2
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+[node name="light_fixture" instance=ExtResource( 1 )]
+
+[node name="light_fixture" parent="." index="0"]
+material/0 = ExtResource( 2 )
+
+[node name="OmniLight" type="OmniLight" parent="." index="1"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.570798, 0 )
+light_color = Color( 1, 0.94902, 0.74902, 1 )
+shadow_enabled = true
+
+[node name="light_bulb" type="MeshInstance" parent="." index="2"]
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new file mode 100644
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new file mode 100644
index 0000000..437c7d3
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diff --git a/maps/main_stage/assets/water_pump/water_pump.material b/maps/main_stage/assets/water_pump/water_pump.material
new file mode 100644
index 0000000..10b8a97
--- /dev/null
+++ b/maps/main_stage/assets/water_pump/water_pump.material
Binary files differ
diff --git a/maps/main_stage/assets/water_pump/water_pump.tscn b/maps/main_stage/assets/water_pump/water_pump.tscn
new file mode 100644
index 0000000..996564d
--- /dev/null
+++ b/maps/main_stage/assets/water_pump/water_pump.tscn
@@ -0,0 +1,40 @@
+[gd_scene load_steps=6 format=2]
+
+[ext_resource path="res://maps/main_stage/assets/water_pump/water_pump.gltf" type="PackedScene" id=1]
+
+[sub_resource type="BoxShape" id=1]
+extents = Vector3( 1, 0.78139, 1.52624 )
+
+[sub_resource type="BoxShape" id=2]
+extents = Vector3( 0.696607, 1.47763, 2.84049 )
+
+[sub_resource type="CylinderShape" id=3]
+height = 0.513673
+radius = 0.450425
+
+[sub_resource type="CylinderShape" id=4]
+height = 0.461824
+radius = 0.456237
+
+[node name="water_pump" instance=ExtResource( 1 )]
+
+[node name="StaticBody" type="StaticBody" parent="water_pump" index="0"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0.106341, 0.0284684, -0.00456106 )
+
+[node name="CollisionShape" type="CollisionShape" parent="water_pump/StaticBody" index="0"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0.377931, -0.746272, 0 )
+shape = SubResource( 1 )
+
+[node name="CollisionShape2" type="CollisionShape" parent="water_pump/StaticBody" index="1"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, -1.26882, -0.0493568, 0 )
+shape = SubResource( 2 )
+
+[node name="StaticBody" type="StaticBody" parent="button_1" index="0"]
+
+[node name="CollisionShape" type="CollisionShape" parent="button_1/StaticBody" index="0"]
+shape = SubResource( 3 )
+
+[node name="StaticBody" type="StaticBody" parent="button_0" index="0"]
+
+[node name="CollisionShape" type="CollisionShape" parent="button_0/StaticBody" index="0"]
+shape = SubResource( 4 )
diff --git a/maps/main_stage/assets/water_pump/water_pump_normal.png b/maps/main_stage/assets/water_pump/water_pump_normal.png
new file mode 100644
index 0000000..92abff9
--- /dev/null
+++ b/maps/main_stage/assets/water_pump/water_pump_normal.png
Binary files differ
diff --git a/maps/main_stage/assets/water_pump/water_pump_normal.png.import b/maps/main_stage/assets/water_pump/water_pump_normal.png.import
new file mode 100644
index 0000000..b311089
--- /dev/null
+++ b/maps/main_stage/assets/water_pump/water_pump_normal.png.import
@@ -0,0 +1,37 @@
+[remap]
+
+importer="texture"
+type="StreamTexture"
+path.s3tc="res://.import/water_pump_normal.png-7e5a763b0d38fee6cc7d5fb615666872.s3tc.stex"
+path.etc2="res://.import/water_pump_normal.png-7e5a763b0d38fee6cc7d5fb615666872.etc2.stex"
+metadata={
+"imported_formats": [ "s3tc", "etc2" ],
+"vram_texture": true
+}
+
+[deps]
+
+source_file="res://maps/main_stage/assets/water_pump/water_pump_normal.png"
+dest_files=[ "res://.import/water_pump_normal.png-7e5a763b0d38fee6cc7d5fb615666872.s3tc.stex", "res://.import/water_pump_normal.png-7e5a763b0d38fee6cc7d5fb615666872.etc2.stex" ]
+
+[params]
+
+compress/mode=2
+compress/lossy_quality=0.7
+compress/hdr_mode=0
+compress/bptc_ldr=0
+compress/normal_map=1
+flags/repeat=true
+flags/filter=true
+flags/mipmaps=true
+flags/anisotropic=false
+flags/srgb=2
+process/fix_alpha_border=true
+process/premult_alpha=false
+process/HDR_as_SRGB=false
+process/invert_color=false
+process/normal_map_invert_y=false
+stream=false
+size_limit=0
+detect_3d=false
+svg/scale=1.0
diff --git a/ship/ship/ship.tscn b/ship/ship/ship.tscn
index 0412661..3ba879b 100644
--- a/ship/ship/ship.tscn
+++ b/ship/ship/ship.tscn
@@ -1,4 +1,4 @@
-[gd_scene load_steps=41 format=2]
+[gd_scene load_steps=71 format=2]
[ext_resource path="res://ship/ship/rear_deck.material" type="Material" id=1]
[ext_resource path="res://ship/staircase_1/staircase_1.tscn" type="PackedScene" id=2]
@@ -16,12 +16,195 @@
[ext_resource path="res://ship/ship/bridge_windows.material" type="Material" id=14]
[ext_resource path="res://ship/ship/hull_main.material" type="Material" id=15]
[ext_resource path="res://ship/ship/bridge.material" type="Material" id=16]
-[ext_resource path="res://ship/ship/top_deck.material" type="Material" id=17]
+[ext_resource path="res://maps/main_stage/assets/mast/mast.tscn" type="PackedScene" id=17]
[ext_resource path="res://ship/ship/below_deck_walls.material" type="Material" id=18]
-[ext_resource path="res://ship/ship_control_panel/control_panel.tscn" type="PackedScene" id=19]
+[ext_resource path="res://maps/main_stage/assets/ship_control_panel/main_control_panel_mat.material" type="Material" id=19]
+[ext_resource path="res://maps/main_stage/assets/steering_wheel/steering_wheel.tscn" type="PackedScene" id=20]
+[ext_resource path="res://maps/main_stage/assets/light_fixture/light_fixture.tres" type="Material" id=21]
+[ext_resource path="res://maps/main_stage/assets/water_pump/water_pump.tscn" type="PackedScene" id=22]
+
+[sub_resource type="ArrayMesh" id=25]
+resource_name = "control_panel_Cube001"
+surfaces/0 = {
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106, 180, 61, 142, 69, 14, 63, 129, 80, 126, 40, 114, 57, 50, 47, 151, 176, 119, 192, 64, 106, 180, 61, 142, 69, 14, 63, 127, 80, 80, 63, 114, 57, 50, 47, 151, 176, 119, 192, 112, 248, 135, 62, 142, 69, 14, 63, 129, 80, 126, 40, 114, 57, 234, 47, 151, 176, 119, 192, 112, 248, 135, 62, 142, 69, 14, 63, 0, 126, 130, 63, 171, 59, 137, 56, 151, 176, 119, 192, 112, 248, 135, 62, 142, 69, 14, 63, 127, 80, 80, 63, 114, 57, 234, 47, 129, 197, 114, 192, 64, 106, 180, 61, 74, 161, 25, 63, 127, 80, 80, 63, 124, 57, 49, 47, 129, 197, 114, 192, 64, 106, 180, 61, 74, 161, 25, 63, 127, 0, 127, 127, 220, 59, 55, 52, 129, 197, 114, 192, 112, 248, 135, 62, 74, 161, 25, 63, 0, 126, 130, 63, 161, 59, 131, 56, 129, 197, 114, 192, 112, 248, 135, 62, 74, 161, 25, 63, 127, 80, 80, 63, 124, 57, 234, 47, 129, 197, 114, 192, 112, 248, 135, 62, 74, 161, 25, 63, 127, 0, 127, 127, 220, 59, 9, 52, 129, 197, 114, 192, 64, 106, 180, 61, 194, 88, 48, 63, 46, 0, 126, 40, 81, 59, 84, 56, 129, 197, 114, 192, 64, 106, 180, 61, 194, 88, 48, 63, 127, 0, 127, 127, 208, 59, 55, 52, 129, 197, 114, 192, 112, 248, 135, 62, 194, 88, 48, 63, 0, 126, 130, 63, 161, 59, 120, 56, 129, 197, 114, 192, 112, 248, 135, 62, 194, 88, 48, 63, 46, 0, 126, 40, 81, 59, 61, 56, 129, 197, 114, 192, 112, 248, 135, 62, 194, 88, 48, 63, 127, 0, 127, 127, 208, 59, 9, 52, 151, 176, 119, 192, 64, 106, 180, 61, 125, 180, 59, 63, 210, 0, 80, 63, 71, 59, 84, 56, 151, 176, 119, 192, 64, 106, 180, 61, 125, 180, 59, 63, 46, 0, 126, 40, 71, 59, 84, 56, 151, 176, 119, 192, 112, 248, 135, 62, 125, 180, 59, 63, 210, 0, 80, 63, 71, 59, 61, 56, 151, 176, 119, 192, 112, 248, 135, 62, 125, 180, 59, 63, 0, 126, 130, 63, 171, 59, 114, 56, 151, 176, 119, 192, 112, 248, 135, 62, 125, 180, 59, 63, 46, 0, 126, 40, 71, 59, 61, 56, 173, 155, 124, 192, 64, 106, 180, 61, 193, 88, 48, 63, 129, 0, 0, 63, 241, 49, 51, 35, 173, 155, 124, 192, 64, 106, 180, 61, 193, 88, 48, 63, 210, 0, 80, 63, 61, 59, 84, 56, 173, 155, 124, 192, 112, 248, 135, 62, 193, 88, 48, 63, 129, 0, 0, 63, 241, 49, 175, 25, 173, 155, 124, 192, 112, 248, 135, 62, 193, 88, 48, 63, 210, 0, 80, 63, 61, 59, 61, 56, 173, 155, 124, 192, 112, 248, 135, 62, 193, 88, 48, 63, 0, 126, 130, 63, 181, 59, 120, 56, 173, 155, 124, 192, 64, 106, 180, 61, 74, 161, 25, 63, 129, 0, 0, 63, 195, 49, 51, 35, 173, 155, 124, 192, 64, 106, 180, 61, 74, 161, 25, 63, 129, 80, 126, 40, 104, 57, 49, 47, 173, 155, 124, 192, 112, 248, 135, 62, 74, 161, 25, 63, 129, 0, 0, 63, 195, 49, 175, 25, 173, 155, 124, 192, 112, 248, 135, 62, 74, 161, 25, 63, 129, 80, 126, 40, 104, 57, 234, 47, 173, 155, 124, 192, 112, 248, 135, 62, 74, 161, 25, 63, 0, 126, 130, 63, 181, 59, 131, 56, 151, 176, 119, 192, 64, 106, 180, 61, 128, 84, 157, 62, 129, 80, 126, 40, 245, 55, 77, 47, 151, 176, 119, 192, 64, 106, 180, 61, 128, 84, 157, 62, 127, 80, 80, 63, 245, 55, 77, 47, 151, 176, 119, 192, 112, 248, 135, 62, 128, 84, 157, 62, 129, 80, 126, 40, 245, 55, 2, 48, 151, 176, 119, 192, 112, 248, 135, 62, 128, 84, 157, 62, 0, 126, 130, 103, 203, 58, 19, 44, 151, 176, 119, 192, 112, 248, 135, 62, 128, 84, 157, 62, 127, 80, 80, 63, 245, 55, 2, 48, 129, 197, 114, 192, 64, 106, 180, 61, 248, 11, 180, 62, 127, 80, 80, 63, 4, 56, 76, 47, 129, 197, 114, 192, 64, 106, 180, 61, 248, 11, 180, 62, 127, 0, 127, 127, 199, 29, 177, 44, 129, 197, 114, 192, 112, 248, 135, 62, 248, 11, 180, 62, 0, 126, 130, 103, 193, 58, 65, 44, 129, 197, 114, 192, 112, 248, 135, 62, 248, 11, 180, 62, 127, 80, 80, 63, 4, 56, 2, 48, 129, 197, 114, 192, 112, 248, 135, 62, 248, 11, 180, 62, 127, 0, 127, 127, 199, 29, 241, 43, 129, 197, 114, 192, 64, 106, 180, 61, 232, 122, 225, 62, 46, 0, 126, 40, 128, 59, 198, 58, 129, 197, 114, 192, 64, 106, 180, 61, 232, 122, 225, 62, 127, 0, 127, 127, 0, 0, 177, 44, 129, 197, 114, 192, 112, 248, 135, 62, 232, 122, 225, 62, 0, 126, 130, 103, 183, 58, 19, 44, 129, 197, 114, 192, 112, 248, 135, 62, 232, 122, 225, 62, 46, 0, 126, 40, 128, 59, 175, 58, 129, 197, 114, 192, 112, 248, 135, 62, 232, 122, 225, 62, 127, 0, 127, 127, 0, 0, 241, 43, 151, 176, 119, 192, 64, 106, 180, 61, 94, 50, 248, 62, 210, 0, 80, 63, 118, 59, 198, 58, 151, 176, 119, 192, 64, 106, 180, 61, 94, 50, 248, 62, 46, 0, 126, 40, 118, 59, 198, 58, 151, 176, 119, 192, 112, 248, 135, 62, 94, 50, 248, 62, 210, 0, 80, 63, 118, 59, 175, 58, 151, 176, 119, 192, 112, 248, 135, 62, 94, 50, 248, 62, 0, 126, 130, 103, 183, 58, 109, 43, 151, 176, 119, 192, 112, 248, 135, 62, 94, 50, 248, 62, 46, 0, 126, 40, 118, 59, 175, 58, 173, 155, 124, 192, 64, 106, 180, 61, 230, 122, 225, 62, 129, 0, 0, 63, 157, 56, 79, 39, 173, 155, 124, 192, 64, 106, 180, 61, 230, 122, 225, 62, 210, 0, 80, 63, 108, 59, 198, 58, 173, 155, 124, 192, 112, 248, 135, 62, 230, 122, 225, 62, 129, 0, 0, 63, 157, 56, 107, 36, 173, 155, 124, 192, 112, 248, 135, 62, 230, 122, 225, 62, 210, 0, 80, 63, 108, 59, 175, 58, 173, 155, 124, 192, 112, 248, 135, 62, 230, 122, 225, 62, 0, 126, 130, 103, 193, 58, 17, 43, 173, 155, 124, 192, 64, 106, 180, 61, 248, 11, 180, 62, 129, 0, 0, 63, 145, 56, 79, 39, 173, 155, 124, 192, 64, 106, 180, 61, 248, 11, 180, 62, 129, 80, 126, 40, 225, 55, 76, 47, 173, 155, 124, 192, 112, 248, 135, 62, 248, 11, 180, 62, 129, 0, 0, 63, 145, 56, 107, 36, 173, 155, 124, 192, 112, 248, 135, 62, 248, 11, 180, 62, 129, 80, 126, 40, 225, 55, 2, 48, 173, 155, 124, 192, 112, 248, 135, 62, 248, 11, 180, 62, 0, 126, 130, 103, 203, 58, 109, 43, 151, 176, 119, 192, 64, 106, 180, 61, 24, 239, 112, 61, 129, 80, 126, 40, 46, 58, 128, 57, 151, 176, 119, 192, 64, 106, 180, 61, 24, 239, 112, 61, 127, 80, 80, 63, 46, 58, 128, 57, 151, 176, 119, 192, 112, 248, 135, 62, 24, 239, 112, 61, 129, 80, 126, 40, 46, 58, 151, 57, 151, 176, 119, 192, 112, 248, 135, 62, 24, 239, 112, 61, 0, 126, 126, 23, 18, 58, 15, 44, 151, 176, 119, 192, 112, 248, 135, 62, 24, 239, 112, 61, 127, 80, 80, 63, 46, 58, 151, 57, 129, 197, 114, 192, 64, 106, 180, 61, 108, 85, 211, 61, 127, 80, 80, 63, 56, 58, 128, 57, 129, 197, 114, 192, 64, 106, 180, 61, 108, 85, 211, 61, 127, 0, 127, 127, 113, 58, 226, 41, 129, 197, 114, 192, 112, 248, 135, 62, 108, 85, 211, 61, 0, 126, 126, 23, 18, 58, 107, 44, 129, 197, 114, 192, 112, 248, 135, 62, 108, 85, 211, 61, 127, 80, 80, 63, 56, 58, 151, 57, 129, 197, 114, 192, 112, 248, 135, 62, 108, 85, 211, 61, 127, 0, 127, 127, 113, 58, 113, 40, 129, 197, 114, 192, 64, 106, 180, 61, 150, 136, 68, 62, 46, 0, 126, 40, 221, 54, 179, 44, 129, 197, 114, 192, 64, 106, 180, 61, 150, 136, 68, 62, 127, 0, 127, 127, 102, 58, 226, 41, 129, 197, 114, 192, 112, 248, 135, 62, 150, 136, 68, 62, 0, 126, 126, 23, 8, 58, 153, 44, 129, 197, 114, 192, 112, 248, 135, 62, 150, 136, 68, 62, 46, 0, 126, 40, 221, 54, 245, 43, 129, 197, 114, 192, 112, 248, 135, 62, 150, 136, 68, 62, 127, 0, 127, 127, 102, 58, 113, 40, 151, 176, 119, 192, 64, 106, 180, 61, 130, 247, 113, 62, 210, 0, 80, 63, 201, 54, 179, 44, 151, 176, 119, 192, 64, 106, 180, 61, 130, 247, 113, 62, 46, 0, 126, 40, 201, 54, 179, 44, 151, 176, 119, 192, 112, 248, 135, 62, 130, 247, 113, 62, 210, 0, 80, 63, 201, 54, 245, 43, 151, 176, 119, 192, 112, 248, 135, 62, 130, 247, 113, 62, 0, 126, 126, 23, 254, 57, 107, 44, 151, 176, 119, 192, 112, 248, 135, 62, 130, 247, 113, 62, 46, 0, 126, 40, 201, 54, 245, 43, 173, 155, 124, 192, 64, 106, 180, 61, 146, 136, 68, 62, 129, 0, 0, 63, 220, 59, 196, 40, 173, 155, 124, 192, 64, 106, 180, 61, 146, 136, 68, 62, 210, 0, 80, 63, 181, 54, 179, 44, 173, 155, 124, 192, 112, 248, 135, 62, 146, 136, 68, 62, 129, 0, 0, 63, 220, 59, 164, 38, 173, 155, 124, 192, 112, 248, 135, 62, 146, 136, 68, 62, 210, 0, 80, 63, 181, 54, 245, 43, 173, 155, 124, 192, 112, 248, 135, 62, 146, 136, 68, 62, 0, 126, 126, 23, 254, 57, 15, 44, 173, 155, 124, 192, 64, 106, 180, 61, 108, 85, 211, 61, 129, 0, 0, 63, 208, 59, 196, 40, 173, 155, 124, 192, 64, 106, 180, 61, 108, 85, 211, 61, 129, 80, 126, 40, 36, 58, 128, 57, 173, 155, 124, 192, 112, 248, 135, 62, 108, 85, 211, 61, 129, 0, 0, 63, 208, 59, 164, 38, 173, 155, 124, 192, 112, 248, 135, 62, 108, 85, 211, 61, 129, 80, 126, 40, 36, 58, 151, 57, 173, 155, 124, 192, 112, 248, 135, 62, 108, 85, 211, 61, 0, 126, 126, 23, 8, 58, 193, 43 ),
+"array_index_data": PoolByteArray( 97, 0, 141, 0, 65, 0, 97, 0, 145, 0, 141, 0, 174, 0, 195, 0, 36, 0, 174, 0, 192, 0, 195, 0, 92, 0, 152, 0, 156, 0, 92, 0, 72, 0, 152, 0, 148, 2, 171, 1, 156, 1, 148, 2, 152, 2, 171, 1, 79, 0, 157, 0, 149, 0, 79, 0, 93, 0, 157, 0, 5, 0, 203, 0, 9, 0, 5, 0, 206, 0, 203, 0, 14, 0, 185, 0, 19, 0, 14, 0, 199, 0, 185, 0, 95, 0, 148, 0, 144, 0, 95, 0, 77, 0, 148, 0, 29, 0, 208, 0, 0, 0, 29, 0, 211, 0, 208, 0, 99, 0, 118, 0, 177, 0, 99, 0, 126, 0, 118, 0, 90, 0, 106, 1, 74, 0, 106, 1, 81, 1, 45, 1, 81, 1, 123, 1, 19, 1, 34, 1, 48, 0, 132, 1, 81, 1, 34, 1, 123, 1, 90, 0, 81, 1, 106, 1, 103, 2, 81, 1, 90, 0, 81, 1, 48, 0, 34, 1, 48, 0, 58, 2, 51, 0, 195, 1, 81, 1, 103, 2, 48, 0, 195, 1, 58, 2, 81, 1, 195, 1, 48, 0, 140, 1, 49, 0, 38, 1, 140, 1, 133, 1, 49, 0, 53, 2, 46, 0, 13, 0, 53, 2, 57, 2, 46, 0, 237, 0, 17, 1, 241, 0, 237, 0, 12, 1, 17, 1, 107, 2, 6, 1, 220, 0, 107, 2, 115, 2, 6, 1, 140, 0, 111, 0, 63, 0, 140, 0, 162, 0, 111, 0, 170, 0, 101, 0, 178, 0, 101, 0, 27, 1, 52, 1, 42, 1, 170, 0, 75, 0, 101, 0, 42, 1, 27, 1, 101, 0, 170, 0, 42, 1, 169, 0, 89, 0, 73, 0, 169, 0, 166, 0, 89, 0, 58, 0, 134, 1, 55, 0, 134, 1, 117, 1, 49, 1, 58, 0, 117, 1, 134, 1, 144, 2, 39, 2, 181, 1, 39, 2, 117, 1, 58, 0, 39, 2, 24, 1, 117, 1, 127, 0, 39, 2, 144, 2, 99, 1, 127, 0, 100, 0, 39, 1, 127, 0, 99, 1, 127, 0, 24, 1, 39, 2, 84, 1, 127, 0, 39, 1, 24, 1, 127, 0, 84, 1, 139, 2, 78, 0, 96, 0, 139, 2, 132, 2, 78, 0, 133, 2, 94, 0, 80, 0, 133, 2, 137, 2, 94, 0, 22, 0, 128, 0, 82, 0, 22, 0, 132, 0, 128, 0, 134, 2, 71, 0, 91, 0, 134, 2, 95, 2, 71, 0, 141, 2, 66, 0, 92, 2, 141, 2, 98, 0, 66, 0, 83, 0, 160, 0, 23, 0, 83, 0, 110, 0, 160, 0, 24, 0, 119, 0, 34, 0, 24, 0, 161, 0, 119, 0, 33, 0, 125, 0, 104, 0, 33, 0, 117, 0, 125, 0, 103, 0, 108, 0, 81, 0, 103, 0, 123, 0, 108, 0, 133, 0, 137, 0, 129, 0, 133, 0, 135, 0, 137, 0, 84, 0, 139, 0, 106, 0, 84, 0, 130, 0, 139, 0, 32, 0, 131, 0, 21, 0, 32, 0, 134, 0, 131, 0, 105, 0, 136, 0, 35, 0, 105, 0, 138, 0, 136, 0, 10, 0, 146, 0, 6, 0, 10, 0, 142, 0, 146, 0, 7, 0, 150, 0, 20, 0, 7, 0, 147, 0, 150, 0, 15, 0, 154, 0, 2, 0, 15, 0, 158, 0, 154, 0, 20, 0, 159, 0, 16, 0, 20, 0, 150, 0, 159, 0, 115, 0, 143, 0, 11, 0, 115, 0, 163, 0, 143, 0, 31, 0, 171, 0, 27, 0, 31, 0, 168, 0, 171, 0, 3, 0, 168, 0, 31, 0, 3, 0, 155, 0, 168, 0, 38, 0, 120, 0, 175, 0, 38, 0, 179, 0, 120, 0, 176, 0, 164, 0, 116, 0, 176, 0, 121, 0, 164, 0, 28, 0, 180, 0, 39, 0, 28, 0, 172, 0, 180, 0, 200, 0, 183, 0, 186, 0, 183, 0, 188, 0, 193, 0, 183, 0, 200, 0, 188, 0, 210, 0, 190, 0, 201, 0, 190, 0, 216, 0, 198, 0, 216, 0, 210, 0, 213, 0, 190, 0, 210, 0, 216, 0, 207, 0, 184, 0, 204, 0, 207, 0, 187, 0, 184, 0, 194, 0, 189, 0, 197, 0, 8, 0, 182, 0, 114, 0, 8, 0, 202, 0, 182, 0, 19, 0, 205, 0, 4, 0, 19, 0, 185, 0, 205, 0, 113, 0, 191, 0, 173, 0, 113, 0, 181, 0, 191, 0, 25, 0, 212, 0, 30, 0, 25, 0, 214, 0, 212, 0, 1, 0, 199, 0, 14, 0, 1, 0, 209, 0, 199, 0, 37, 0, 215, 0, 26, 0, 37, 0, 196, 0, 215, 0, 67, 0, 222, 0, 85, 0, 67, 0, 218, 0, 222, 0, 59, 2, 226, 0, 52, 0, 59, 2, 63, 2, 226, 0, 52, 0, 228, 0, 41, 0, 52, 0, 226, 0, 228, 0, 94, 2, 219, 0, 69, 0, 94, 2, 105, 2, 219, 0, 153, 0, 238, 0, 167, 0, 153, 0, 234, 0, 238, 0, 165, 0, 240, 0, 88, 0, 165, 0, 236, 0, 240, 0, 86, 0, 243, 0, 68, 0, 86, 0, 239, 0, 243, 0, 70, 0, 232, 0, 151, 0, 70, 0, 244, 0, 232, 0, 236, 1, 11, 2, 240, 1, 236, 1, 14, 2, 11, 2, 8, 1, 16, 1, 11, 1, 8, 1, 13, 1, 16, 1, 231, 0, 10, 1, 235, 0, 231, 0, 7, 1, 10, 1, 227, 0, 254, 0, 230, 0, 227, 0, 250, 0, 254, 0, 62, 2, 247, 0, 225, 0, 62, 2, 67, 2, 247, 0, 242, 0, 15, 1, 246, 0, 242, 0, 18, 1, 15, 1, 217, 0, 255, 0, 221, 0, 217, 0, 3, 1, 255, 0, 245, 0, 9, 1, 233, 0, 245, 0, 14, 1, 9, 1, 96, 1, 21, 1, 58, 1, 96, 1, 82, 1, 21, 1, 91, 1, 32, 1, 60, 1, 91, 1, 87, 1, 32, 1, 138, 1, 23, 1, 48, 1, 138, 1, 137, 1, 23, 1, 127, 1, 66, 1, 68, 1, 127, 1, 121, 1, 66, 1, 119, 1, 68, 1, 50, 1, 119, 1, 127, 1, 68, 1, 135, 1, 48, 1, 56, 0, 135, 1, 138, 1, 48, 1, 109, 1, 65, 1, 72, 1, 109, 1, 103, 1, 65, 1, 100, 1, 73, 1, 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172, 96, 192, 112, 248, 135, 62, 130, 247, 113, 62, 46, 0, 126, 40, 118, 59, 73, 59, 39, 151, 101, 192, 64, 106, 180, 61, 146, 136, 68, 62, 129, 0, 0, 63, 221, 59, 2, 54, 39, 151, 101, 192, 64, 106, 180, 61, 146, 136, 68, 62, 210, 0, 80, 63, 108, 59, 96, 59, 39, 151, 101, 192, 112, 248, 135, 62, 146, 136, 68, 62, 129, 0, 0, 63, 221, 59, 211, 53, 39, 151, 101, 192, 112, 248, 135, 62, 146, 136, 68, 62, 210, 0, 80, 63, 108, 59, 73, 59, 39, 151, 101, 192, 112, 248, 135, 62, 146, 136, 68, 62, 0, 126, 130, 63, 179, 59, 100, 53, 39, 151, 101, 192, 64, 106, 180, 61, 108, 85, 211, 61, 129, 0, 0, 63, 209, 59, 2, 54, 39, 151, 101, 192, 64, 106, 180, 61, 108, 85, 211, 61, 129, 80, 126, 40, 25, 59, 37, 48, 39, 151, 101, 192, 112, 248, 135, 62, 108, 85, 211, 61, 129, 0, 0, 63, 209, 59, 211, 53, 39, 151, 101, 192, 112, 248, 135, 62, 108, 85, 211, 61, 129, 80, 126, 40, 25, 59, 129, 48, 39, 151, 101, 192, 112, 248, 135, 62, 108, 85, 211, 61, 0, 126, 130, 63, 179, 59, 123, 53, 151, 176, 119, 192, 64, 106, 180, 61, 142, 69, 14, 63, 129, 80, 126, 40, 114, 57, 50, 47, 151, 176, 119, 192, 64, 106, 180, 61, 142, 69, 14, 63, 127, 80, 80, 63, 114, 57, 50, 47, 151, 176, 119, 192, 112, 248, 135, 62, 142, 69, 14, 63, 129, 80, 126, 40, 114, 57, 234, 47, 151, 176, 119, 192, 112, 248, 135, 62, 142, 69, 14, 63, 0, 126, 130, 63, 171, 59, 137, 56, 151, 176, 119, 192, 112, 248, 135, 62, 142, 69, 14, 63, 127, 80, 80, 63, 114, 57, 234, 47, 129, 197, 114, 192, 64, 106, 180, 61, 74, 161, 25, 63, 127, 80, 80, 63, 124, 57, 49, 47, 129, 197, 114, 192, 64, 106, 180, 61, 74, 161, 25, 63, 127, 0, 127, 127, 220, 59, 55, 52, 129, 197, 114, 192, 112, 248, 135, 62, 74, 161, 25, 63, 0, 126, 130, 63, 161, 59, 131, 56, 129, 197, 114, 192, 112, 248, 135, 62, 74, 161, 25, 63, 127, 80, 80, 63, 124, 57, 234, 47, 129, 197, 114, 192, 112, 248, 135, 62, 74, 161, 25, 63, 127, 0, 127, 127, 220, 59, 9, 52, 129, 197, 114, 192, 64, 106, 180, 61, 194, 88, 48, 63, 46, 0, 126, 40, 81, 59, 84, 56, 129, 197, 114, 192, 64, 106, 180, 61, 194, 88, 48, 63, 127, 0, 127, 127, 208, 59, 55, 52, 129, 197, 114, 192, 112, 248, 135, 62, 194, 88, 48, 63, 0, 126, 130, 63, 161, 59, 120, 56, 129, 197, 114, 192, 112, 248, 135, 62, 194, 88, 48, 63, 46, 0, 126, 40, 81, 59, 61, 56, 129, 197, 114, 192, 112, 248, 135, 62, 194, 88, 48, 63, 127, 0, 127, 127, 208, 59, 9, 52, 151, 176, 119, 192, 64, 106, 180, 61, 125, 180, 59, 63, 210, 0, 80, 63, 71, 59, 84, 56, 151, 176, 119, 192, 64, 106, 180, 61, 125, 180, 59, 63, 46, 0, 126, 40, 71, 59, 84, 56, 151, 176, 119, 192, 112, 248, 135, 62, 125, 180, 59, 63, 210, 0, 80, 63, 71, 59, 61, 56, 151, 176, 119, 192, 112, 248, 135, 62, 125, 180, 59, 63, 0, 126, 130, 63, 171, 59, 114, 56, 151, 176, 119, 192, 112, 248, 135, 62, 125, 180, 59, 63, 46, 0, 126, 40, 71, 59, 61, 56, 173, 155, 124, 192, 64, 106, 180, 61, 193, 88, 48, 63, 129, 0, 0, 63, 241, 49, 51, 35, 173, 155, 124, 192, 64, 106, 180, 61, 193, 88, 48, 63, 210, 0, 80, 63, 61, 59, 84, 56, 173, 155, 124, 192, 112, 248, 135, 62, 193, 88, 48, 63, 129, 0, 0, 63, 241, 49, 175, 25, 173, 155, 124, 192, 112, 248, 135, 62, 193, 88, 48, 63, 210, 0, 80, 63, 61, 59, 61, 56, 173, 155, 124, 192, 112, 248, 135, 62, 193, 88, 48, 63, 0, 126, 130, 63, 181, 59, 120, 56, 173, 155, 124, 192, 64, 106, 180, 61, 74, 161, 25, 63, 129, 0, 0, 63, 195, 49, 51, 35, 173, 155, 124, 192, 64, 106, 180, 61, 74, 161, 25, 63, 129, 80, 126, 40, 104, 57, 49, 47, 173, 155, 124, 192, 112, 248, 135, 62, 74, 161, 25, 63, 129, 0, 0, 63, 195, 49, 175, 25, 173, 155, 124, 192, 112, 248, 135, 62, 74, 161, 25, 63, 129, 80, 126, 40, 104, 57, 234, 47, 173, 155, 124, 192, 112, 248, 135, 62, 74, 161, 25, 63, 0, 126, 130, 63, 181, 59, 131, 56, 151, 176, 119, 192, 64, 106, 180, 61, 128, 84, 157, 62, 129, 80, 126, 40, 245, 55, 77, 47, 151, 176, 119, 192, 64, 106, 180, 61, 128, 84, 157, 62, 127, 80, 80, 63, 245, 55, 77, 47, 151, 176, 119, 192, 112, 248, 135, 62, 128, 84, 157, 62, 129, 80, 126, 40, 245, 55, 2, 48, 151, 176, 119, 192, 112, 248, 135, 62, 128, 84, 157, 62, 0, 126, 130, 103, 203, 58, 19, 44, 151, 176, 119, 192, 112, 248, 135, 62, 128, 84, 157, 62, 127, 80, 80, 63, 245, 55, 2, 48, 129, 197, 114, 192, 64, 106, 180, 61, 248, 11, 180, 62, 127, 80, 80, 63, 4, 56, 76, 47, 129, 197, 114, 192, 64, 106, 180, 61, 248, 11, 180, 62, 127, 0, 127, 127, 199, 29, 177, 44, 129, 197, 114, 192, 112, 248, 135, 62, 248, 11, 180, 62, 0, 126, 130, 103, 193, 58, 65, 44, 129, 197, 114, 192, 112, 248, 135, 62, 248, 11, 180, 62, 127, 80, 80, 63, 4, 56, 2, 48, 129, 197, 114, 192, 112, 248, 135, 62, 248, 11, 180, 62, 127, 0, 127, 127, 199, 29, 241, 43, 129, 197, 114, 192, 64, 106, 180, 61, 232, 122, 225, 62, 46, 0, 126, 40, 128, 59, 198, 58, 129, 197, 114, 192, 64, 106, 180, 61, 232, 122, 225, 62, 127, 0, 127, 127, 0, 0, 177, 44, 129, 197, 114, 192, 112, 248, 135, 62, 232, 122, 225, 62, 0, 126, 130, 103, 183, 58, 19, 44, 129, 197, 114, 192, 112, 248, 135, 62, 232, 122, 225, 62, 46, 0, 126, 40, 128, 59, 175, 58, 129, 197, 114, 192, 112, 248, 135, 62, 232, 122, 225, 62, 127, 0, 127, 127, 0, 0, 241, 43, 151, 176, 119, 192, 64, 106, 180, 61, 94, 50, 248, 62, 210, 0, 80, 63, 118, 59, 198, 58, 151, 176, 119, 192, 64, 106, 180, 61, 94, 50, 248, 62, 46, 0, 126, 40, 118, 59, 198, 58, 151, 176, 119, 192, 112, 248, 135, 62, 94, 50, 248, 62, 210, 0, 80, 63, 118, 59, 175, 58, 151, 176, 119, 192, 112, 248, 135, 62, 94, 50, 248, 62, 0, 126, 130, 103, 183, 58, 109, 43, 151, 176, 119, 192, 112, 248, 135, 62, 94, 50, 248, 62, 46, 0, 126, 40, 118, 59, 175, 58, 173, 155, 124, 192, 64, 106, 180, 61, 230, 122, 225, 62, 129, 0, 0, 63, 157, 56, 79, 39, 173, 155, 124, 192, 64, 106, 180, 61, 230, 122, 225, 62, 210, 0, 80, 63, 108, 59, 198, 58, 173, 155, 124, 192, 112, 248, 135, 62, 230, 122, 225, 62, 129, 0, 0, 63, 157, 56, 107, 36, 173, 155, 124, 192, 112, 248, 135, 62, 230, 122, 225, 62, 210, 0, 80, 63, 108, 59, 175, 58, 173, 155, 124, 192, 112, 248, 135, 62, 230, 122, 225, 62, 0, 126, 130, 103, 193, 58, 17, 43, 173, 155, 124, 192, 64, 106, 180, 61, 248, 11, 180, 62, 129, 0, 0, 63, 145, 56, 79, 39, 173, 155, 124, 192, 64, 106, 180, 61, 248, 11, 180, 62, 129, 80, 126, 40, 225, 55, 76, 47, 173, 155, 124, 192, 112, 248, 135, 62, 248, 11, 180, 62, 129, 0, 0, 63, 145, 56, 107, 36, 173, 155, 124, 192, 112, 248, 135, 62, 248, 11, 180, 62, 129, 80, 126, 40, 225, 55, 2, 48, 173, 155, 124, 192, 112, 248, 135, 62, 248, 11, 180, 62, 0, 126, 130, 103, 203, 58, 109, 43, 151, 176, 119, 192, 64, 106, 180, 61, 24, 239, 112, 61, 129, 80, 126, 40, 46, 58, 128, 57, 151, 176, 119, 192, 64, 106, 180, 61, 24, 239, 112, 61, 127, 80, 80, 63, 46, 58, 128, 57, 151, 176, 119, 192, 112, 248, 135, 62, 24, 239, 112, 61, 129, 80, 126, 40, 46, 58, 151, 57, 151, 176, 119, 192, 112, 248, 135, 62, 24, 239, 112, 61, 0, 126, 126, 23, 18, 58, 15, 44, 151, 176, 119, 192, 112, 248, 135, 62, 24, 239, 112, 61, 127, 80, 80, 63, 46, 58, 151, 57, 129, 197, 114, 192, 64, 106, 180, 61, 108, 85, 211, 61, 127, 80, 80, 63, 56, 58, 128, 57, 129, 197, 114, 192, 64, 106, 180, 61, 108, 85, 211, 61, 127, 0, 127, 127, 113, 58, 226, 41, 129, 197, 114, 192, 112, 248, 135, 62, 108, 85, 211, 61, 0, 126, 126, 23, 18, 58, 107, 44, 129, 197, 114, 192, 112, 248, 135, 62, 108, 85, 211, 61, 127, 80, 80, 63, 56, 58, 151, 57, 129, 197, 114, 192, 112, 248, 135, 62, 108, 85, 211, 61, 127, 0, 127, 127, 113, 58, 113, 40, 129, 197, 114, 192, 64, 106, 180, 61, 150, 136, 68, 62, 46, 0, 126, 40, 221, 54, 179, 44, 129, 197, 114, 192, 64, 106, 180, 61, 150, 136, 68, 62, 127, 0, 127, 127, 102, 58, 226, 41, 129, 197, 114, 192, 112, 248, 135, 62, 150, 136, 68, 62, 0, 126, 126, 23, 8, 58, 153, 44, 129, 197, 114, 192, 112, 248, 135, 62, 150, 136, 68, 62, 46, 0, 126, 40, 221, 54, 245, 43, 129, 197, 114, 192, 112, 248, 135, 62, 150, 136, 68, 62, 127, 0, 127, 127, 102, 58, 113, 40, 151, 176, 119, 192, 64, 106, 180, 61, 130, 247, 113, 62, 210, 0, 80, 63, 201, 54, 179, 44, 151, 176, 119, 192, 64, 106, 180, 61, 130, 247, 113, 62, 46, 0, 126, 40, 201, 54, 179, 44, 151, 176, 119, 192, 112, 248, 135, 62, 130, 247, 113, 62, 210, 0, 80, 63, 201, 54, 245, 43, 151, 176, 119, 192, 112, 248, 135, 62, 130, 247, 113, 62, 0, 126, 126, 23, 254, 57, 107, 44, 151, 176, 119, 192, 112, 248, 135, 62, 130, 247, 113, 62, 46, 0, 126, 40, 201, 54, 245, 43, 173, 155, 124, 192, 64, 106, 180, 61, 146, 136, 68, 62, 129, 0, 0, 63, 220, 59, 196, 40, 173, 155, 124, 192, 64, 106, 180, 61, 146, 136, 68, 62, 210, 0, 80, 63, 181, 54, 179, 44, 173, 155, 124, 192, 112, 248, 135, 62, 146, 136, 68, 62, 129, 0, 0, 63, 220, 59, 164, 38, 173, 155, 124, 192, 112, 248, 135, 62, 146, 136, 68, 62, 210, 0, 80, 63, 181, 54, 245, 43, 173, 155, 124, 192, 112, 248, 135, 62, 146, 136, 68, 62, 0, 126, 126, 23, 254, 57, 15, 44, 173, 155, 124, 192, 64, 106, 180, 61, 108, 85, 211, 61, 129, 0, 0, 63, 208, 59, 196, 40, 173, 155, 124, 192, 64, 106, 180, 61, 108, 85, 211, 61, 129, 80, 126, 40, 36, 58, 128, 57, 173, 155, 124, 192, 112, 248, 135, 62, 108, 85, 211, 61, 129, 0, 0, 63, 208, 59, 164, 38, 173, 155, 124, 192, 112, 248, 135, 62, 108, 85, 211, 61, 129, 80, 126, 40, 36, 58, 151, 57, 173, 155, 124, 192, 112, 248, 135, 62, 108, 85, 211, 61, 0, 126, 126, 23, 8, 58, 193, 43 ),
+"array_index_data": PoolByteArray( 97, 0, 141, 0, 65, 0, 97, 0, 145, 0, 141, 0, 174, 0, 195, 0, 36, 0, 174, 0, 192, 0, 195, 0, 92, 0, 152, 0, 156, 0, 92, 0, 72, 0, 152, 0, 148, 2, 171, 1, 156, 1, 148, 2, 152, 2, 171, 1, 79, 0, 157, 0, 149, 0, 79, 0, 93, 0, 157, 0, 5, 0, 203, 0, 9, 0, 5, 0, 206, 0, 203, 0, 14, 0, 185, 0, 19, 0, 14, 0, 199, 0, 185, 0, 95, 0, 148, 0, 144, 0, 95, 0, 77, 0, 148, 0, 29, 0, 208, 0, 0, 0, 29, 0, 211, 0, 208, 0, 99, 0, 118, 0, 177, 0, 99, 0, 126, 0, 118, 0, 90, 0, 106, 1, 74, 0, 106, 1, 81, 1, 45, 1, 81, 1, 123, 1, 19, 1, 34, 1, 48, 0, 132, 1, 81, 1, 34, 1, 123, 1, 90, 0, 81, 1, 106, 1, 103, 2, 81, 1, 90, 0, 81, 1, 48, 0, 34, 1, 48, 0, 58, 2, 51, 0, 195, 1, 81, 1, 103, 2, 48, 0, 195, 1, 58, 2, 81, 1, 195, 1, 48, 0, 140, 1, 49, 0, 38, 1, 140, 1, 133, 1, 49, 0, 53, 2, 46, 0, 13, 0, 53, 2, 57, 2, 46, 0, 237, 0, 17, 1, 241, 0, 237, 0, 12, 1, 17, 1, 107, 2, 6, 1, 220, 0, 107, 2, 115, 2, 6, 1, 140, 0, 111, 0, 63, 0, 140, 0, 162, 0, 111, 0, 170, 0, 101, 0, 178, 0, 101, 0, 27, 1, 52, 1, 42, 1, 170, 0, 75, 0, 101, 0, 42, 1, 27, 1, 101, 0, 170, 0, 42, 1, 169, 0, 89, 0, 73, 0, 169, 0, 166, 0, 89, 0, 58, 0, 134, 1, 55, 0, 134, 1, 117, 1, 49, 1, 58, 0, 117, 1, 134, 1, 144, 2, 39, 2, 181, 1, 39, 2, 117, 1, 58, 0, 39, 2, 24, 1, 117, 1, 127, 0, 39, 2, 144, 2, 99, 1, 127, 0, 100, 0, 39, 1, 127, 0, 99, 1, 127, 0, 24, 1, 39, 2, 84, 1, 127, 0, 39, 1, 24, 1, 127, 0, 84, 1, 139, 2, 78, 0, 96, 0, 139, 2, 132, 2, 78, 0, 133, 2, 94, 0, 80, 0, 133, 2, 137, 2, 94, 0, 22, 0, 128, 0, 82, 0, 22, 0, 132, 0, 128, 0, 134, 2, 71, 0, 91, 0, 134, 2, 95, 2, 71, 0, 141, 2, 66, 0, 92, 2, 141, 2, 98, 0, 66, 0, 83, 0, 160, 0, 23, 0, 83, 0, 110, 0, 160, 0, 24, 0, 119, 0, 34, 0, 24, 0, 161, 0, 119, 0, 33, 0, 125, 0, 104, 0, 33, 0, 117, 0, 125, 0, 103, 0, 108, 0, 81, 0, 103, 0, 123, 0, 108, 0, 133, 0, 137, 0, 129, 0, 133, 0, 135, 0, 137, 0, 84, 0, 139, 0, 106, 0, 84, 0, 130, 0, 139, 0, 32, 0, 131, 0, 21, 0, 32, 0, 134, 0, 131, 0, 105, 0, 136, 0, 35, 0, 105, 0, 138, 0, 136, 0, 10, 0, 146, 0, 6, 0, 10, 0, 142, 0, 146, 0, 7, 0, 150, 0, 20, 0, 7, 0, 147, 0, 150, 0, 15, 0, 154, 0, 2, 0, 15, 0, 158, 0, 154, 0, 20, 0, 159, 0, 16, 0, 20, 0, 150, 0, 159, 0, 115, 0, 143, 0, 11, 0, 115, 0, 163, 0, 143, 0, 31, 0, 171, 0, 27, 0, 31, 0, 168, 0, 171, 0, 3, 0, 168, 0, 31, 0, 3, 0, 155, 0, 168, 0, 38, 0, 120, 0, 175, 0, 38, 0, 179, 0, 120, 0, 176, 0, 164, 0, 116, 0, 176, 0, 121, 0, 164, 0, 28, 0, 180, 0, 39, 0, 28, 0, 172, 0, 180, 0, 200, 0, 183, 0, 186, 0, 183, 0, 188, 0, 193, 0, 183, 0, 200, 0, 188, 0, 210, 0, 190, 0, 201, 0, 190, 0, 216, 0, 198, 0, 216, 0, 210, 0, 213, 0, 190, 0, 210, 0, 216, 0, 207, 0, 184, 0, 204, 0, 207, 0, 187, 0, 184, 0, 194, 0, 189, 0, 197, 0, 8, 0, 182, 0, 114, 0, 8, 0, 202, 0, 182, 0, 19, 0, 205, 0, 4, 0, 19, 0, 185, 0, 205, 0, 113, 0, 191, 0, 173, 0, 113, 0, 181, 0, 191, 0, 25, 0, 212, 0, 30, 0, 25, 0, 214, 0, 212, 0, 1, 0, 199, 0, 14, 0, 1, 0, 209, 0, 199, 0, 37, 0, 215, 0, 26, 0, 37, 0, 196, 0, 215, 0, 67, 0, 222, 0, 85, 0, 67, 0, 218, 0, 222, 0, 59, 2, 226, 0, 52, 0, 59, 2, 63, 2, 226, 0, 52, 0, 228, 0, 41, 0, 52, 0, 226, 0, 228, 0, 94, 2, 219, 0, 69, 0, 94, 2, 105, 2, 219, 0, 153, 0, 238, 0, 167, 0, 153, 0, 234, 0, 238, 0, 165, 0, 240, 0, 88, 0, 165, 0, 236, 0, 240, 0, 86, 0, 243, 0, 68, 0, 86, 0, 239, 0, 243, 0, 70, 0, 232, 0, 151, 0, 70, 0, 244, 0, 232, 0, 236, 1, 11, 2, 240, 1, 236, 1, 14, 2, 11, 2, 8, 1, 16, 1, 11, 1, 8, 1, 13, 1, 16, 1, 231, 0, 10, 1, 235, 0, 231, 0, 7, 1, 10, 1, 227, 0, 254, 0, 230, 0, 227, 0, 250, 0, 254, 0, 62, 2, 247, 0, 225, 0, 62, 2, 67, 2, 247, 0, 242, 0, 15, 1, 246, 0, 242, 0, 18, 1, 15, 1, 217, 0, 255, 0, 221, 0, 217, 0, 3, 1, 255, 0, 245, 0, 9, 1, 233, 0, 245, 0, 14, 1, 9, 1, 96, 1, 21, 1, 58, 1, 96, 1, 82, 1, 21, 1, 91, 1, 32, 1, 60, 1, 91, 1, 87, 1, 32, 1, 138, 1, 23, 1, 48, 1, 138, 1, 137, 1, 23, 1, 127, 1, 66, 1, 68, 1, 127, 1, 121, 1, 66, 1, 119, 1, 68, 1, 50, 1, 119, 1, 127, 1, 68, 1, 135, 1, 48, 1, 56, 0, 135, 1, 138, 1, 48, 1, 109, 1, 65, 1, 72, 1, 109, 1, 103, 1, 65, 1, 100, 1, 73, 1, 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+"format": 2194711,
+"index_count": 5430,
+"material": ExtResource( 19 ),
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+}
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+"array_index_data": PoolByteArray( 0, 0, 9, 0, 2, 0, 0, 0, 6, 0, 9, 0, 5, 0, 13, 0, 8, 0, 5, 0, 11, 0, 13, 0, 11, 0, 17, 0, 13, 0, 11, 0, 15, 0, 17, 0, 15, 0, 21, 0, 17, 0, 15, 0, 19, 0, 21, 0, 19, 0, 25, 0, 21, 0, 19, 0, 23, 0, 25, 0, 23, 0, 29, 0, 25, 0, 23, 0, 27, 0, 29, 0, 27, 0, 33, 0, 29, 0, 27, 0, 31, 0, 33, 0, 31, 0, 37, 0, 33, 0, 31, 0, 35, 0, 37, 0, 35, 0, 41, 0, 37, 0, 35, 0, 39, 0, 41, 0, 39, 0, 45, 0, 41, 0, 39, 0, 43, 0, 45, 0, 43, 0, 50, 0, 45, 0, 43, 0, 47, 0, 50, 0, 48, 0, 55, 0, 51, 0, 48, 0, 53, 0, 55, 0, 53, 0, 59, 0, 55, 0, 53, 0, 57, 0, 59, 0, 57, 0, 63, 0, 59, 0, 57, 0, 61, 0, 63, 0, 61, 0, 67, 0, 63, 0, 61, 0, 65, 0, 67, 0, 65, 0, 70, 0, 67, 0, 65, 0, 68, 0, 70, 0, 68, 0, 74, 0, 70, 0, 68, 0, 72, 0, 74, 0, 72, 0, 78, 0, 74, 0, 72, 0, 76, 0, 78, 0, 76, 0, 84, 0, 78, 0, 76, 0, 81, 0, 84, 0, 80, 0, 88, 0, 83, 0, 80, 0, 86, 0, 88, 0, 86, 0, 92, 0, 88, 0, 86, 0, 90, 0, 92, 0, 90, 0, 96, 0, 92, 0, 90, 0, 94, 0, 96, 0, 94, 0, 100, 0, 96, 0, 94, 0, 98, 0, 100, 0, 98, 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+"blend_shape_data": [ ],
+"format": 2194711,
+"index_count": 1920,
+"material": ExtResource( 21 ),
+"primitive": 4,
+"skeleton_aabb": [ ],
+"vertex_count": 556
+}
+
+[sub_resource type="SpatialMaterial" id=23]
+emission_enabled = true
+emission = Color( 1, 0.960784, 0.788235, 1 )
+emission_energy = 5.0
+emission_operator = 0
+emission_on_uv2 = false
+
+[sub_resource type="SphereMesh" id=24]
+material = SubResource( 23 )
+radius = 0.1
+height = 0.2
[sub_resource type="ArrayMesh" id=1]
-resource_name = "ship_Plane001"
+resource_name = "light_fixture_Cylinder001"
+surfaces/0 = {
+"aabb": AABB( -0.770593, -0.764049, -0.770604, 1.54119, 0.758916, 1.54119 ),
+"array_data": PoolByteArray( 136, 46, 127, 51, 94, 6, 235, 190, 32, 52, 7, 190, 129, 127, 91, 81, 60, 48, 106, 50, 136, 46, 127, 51, 94, 6, 235, 190, 32, 52, 7, 190, 231, 127, 153, 5, 167, 51, 246, 57, 136, 46, 127, 51, 0, 54, 168, 187, 32, 52, 7, 190, 129, 127, 91, 81, 60, 48, 185, 52, 136, 46, 127, 51, 0, 54, 168, 187, 32, 52, 7, 190, 0, 127, 29, 63, 13, 23, 155, 51, 16, 4, 211, 60, 94, 6, 235, 190, 16, 155, 4, 190, 29, 122, 152, 5, 153, 51, 8, 58, 16, 4, 211, 60, 94, 6, 235, 190, 16, 155, 4, 190, 127, 105, 130, 74, 36, 45, 94, 55, 16, 4, 211, 60, 94, 6, 235, 190, 16, 155, 4, 190, 127, 105, 73, 82, 133, 48, 84, 50, 16, 4, 211, 60, 0, 54, 168, 187, 16, 155, 4, 190, 0, 127, 29, 63, 57, 29, 86, 51, 16, 4, 211, 60, 0, 54, 168, 187, 16, 155, 4, 190, 127, 105, 130, 74, 36, 45, 214, 52, 16, 4, 211, 60, 0, 54, 168, 187, 16, 155, 4, 190, 127, 105, 73, 82, 133, 48, 174, 52, 8, 246, 78, 61, 94, 6, 235, 190, 224, 210, 249, 189, 31, 117, 151, 5, 125, 51, 25, 58, 8, 246, 78, 61, 94, 6, 235, 190, 224, 210, 249, 189, 127, 89, 130, 82, 206, 44, 93, 55, 8, 246, 78, 61, 0, 54, 168, 187, 224, 210, 249, 189, 0, 127, 29, 63, 31, 33, 25, 51, 8, 246, 78, 61, 0, 54, 168, 187, 224, 210, 249, 189, 127, 89, 130, 82, 206, 44, 214, 52, 248, 58, 150, 61, 94, 6, 235, 190, 224, 213, 224, 189, 33, 113, 148, 5, 85, 51, 40, 58, 248, 58, 150, 61, 94, 6, 235, 190, 224, 213, 224, 189, 127, 76, 130, 89, 95, 44, 93, 55, 248, 58, 150, 61, 0, 54, 168, 187, 224, 213, 224, 189, 0, 127, 29, 63, 40, 36, 229, 50, 248, 58, 150, 61, 0, 54, 168, 187, 224, 213, 224, 189, 127, 76, 130, 89, 95, 44, 214, 52, 248, 52, 191, 61, 94, 6, 235, 190, 240, 52, 191, 189, 33, 110, 145, 5, 34, 51, 53, 58, 248, 52, 191, 61, 94, 6, 235, 190, 240, 52, 191, 189, 127, 63, 130, 95, 188, 43, 93, 55, 248, 52, 191, 61, 0, 54, 168, 187, 240, 52, 191, 189, 0, 127, 29, 63, 9, 38, 188, 50, 248, 52, 191, 61, 0, 54, 168, 187, 240, 52, 191, 189, 127, 63, 130, 95, 188, 43, 214, 52, 232, 213, 224, 61, 94, 6, 235, 190, 240, 58, 150, 189, 33, 107, 141, 6, 229, 50, 62, 58, 232, 213, 224, 61, 94, 6, 235, 190, 240, 58, 150, 189, 127, 50, 130, 101, 156, 42, 93, 55, 232, 213, 224, 61, 0, 54, 168, 187, 240, 58, 150, 189, 0, 127, 29, 63, 16, 40, 160, 50, 232, 213, 224, 61, 0, 54, 168, 187, 240, 58, 150, 189, 127, 50, 130, 101, 156, 42, 214, 52, 232, 210, 249, 61, 94, 6, 235, 190, 248, 245, 78, 189, 31, 104, 137, 6, 162, 50, 69, 58, 232, 210, 249, 61, 94, 6, 235, 190, 248, 245, 78, 189, 127, 37, 130, 108, 106, 41, 93, 55, 232, 210, 249, 61, 0, 54, 168, 187, 248, 245, 78, 189, 0, 127, 29, 63, 43, 41, 145, 50, 232, 210, 249, 61, 0, 54, 168, 187, 248, 245, 78, 189, 127, 37, 130, 108, 106, 41, 214, 52, 20, 155, 4, 62, 94, 6, 235, 190, 240, 3, 211, 188, 29, 102, 132, 6, 91, 50, 72, 58, 20, 155, 4, 62, 94, 6, 235, 190, 240, 3, 211, 188, 127, 21, 130, 10, 50, 40, 93, 55, 20, 155, 4, 62, 0, 54, 168, 187, 240, 3, 211, 188, 0, 127, 29, 63, 77, 42, 145, 50, 20, 155, 4, 62, 0, 54, 168, 187, 240, 3, 211, 188, 127, 21, 130, 10, 50, 40, 214, 52, 36, 52, 7, 62, 94, 6, 235, 190, 0, 80, 198, 49, 25, 101, 133, 119, 19, 50, 72, 58, 36, 52, 7, 62, 94, 6, 235, 190, 0, 80, 198, 49, 127, 0, 126, 1, 0, 38, 93, 55, 36, 52, 7, 62, 0, 54, 168, 187, 0, 80, 198, 49, 0, 127, 29, 63, 104, 43, 160, 50, 36, 52, 7, 62, 0, 54, 168, 187, 0, 80, 198, 49, 127, 0, 126, 1, 0, 38, 214, 52, 20, 155, 4, 62, 94, 6, 235, 190, 240, 3, 211, 60, 24, 97, 138, 120, 204, 49, 67, 58, 20, 155, 4, 62, 94, 6, 235, 190, 240, 3, 211, 60, 105, 0, 126, 10, 128, 35, 93, 55, 20, 155, 4, 62, 0, 54, 168, 187, 240, 3, 211, 60, 0, 127, 29, 63, 58, 44, 188, 50, 20, 155, 4, 62, 0, 54, 168, 187, 240, 3, 211, 60, 105, 0, 126, 10, 128, 35, 214, 52, 232, 210, 249, 61, 94, 6, 235, 190, 240, 245, 78, 61, 22, 95, 142, 120, 137, 49, 60, 58, 232, 210, 249, 61, 94, 6, 235, 190, 240, 245, 78, 61, 89, 0, 126, 18, 228, 30, 93, 55, 232, 210, 249, 61, 0, 54, 168, 187, 240, 245, 78, 61, 0, 127, 29, 63, 178, 44, 229, 50, 232, 210, 249, 61, 0, 54, 168, 187, 240, 245, 78, 61, 89, 0, 126, 18, 228, 30, 214, 52, 232, 213, 224, 61, 94, 6, 235, 190, 240, 58, 150, 61, 19, 93, 146, 120, 76, 49, 49, 58, 232, 213, 224, 61, 94, 6, 235, 190, 240, 58, 150, 61, 76, 0, 126, 25, 0, 0, 93, 55, 232, 213, 224, 61, 94, 6, 235, 190, 240, 58, 150, 61, 76, 0, 126, 101, 152, 53, 94, 55, 232, 213, 224, 61, 0, 54, 168, 187, 240, 58, 150, 61, 0, 127, 29, 63, 24, 45, 25, 51, 232, 213, 224, 61, 0, 54, 168, 187, 240, 58, 150, 61, 76, 0, 126, 25, 0, 0, 214, 52, 232, 213, 224, 61, 0, 54, 168, 187, 240, 58, 150, 61, 76, 0, 126, 101, 152, 53, 214, 52, 248, 52, 191, 61, 94, 6, 235, 190, 240, 52, 191, 61, 16, 93, 149, 120, 25, 49, 36, 58, 248, 52, 191, 61, 94, 6, 235, 190, 240, 52, 191, 61, 63, 0, 126, 95, 130, 53, 93, 55, 248, 52, 191, 61, 0, 54, 168, 187, 240, 52, 191, 61, 0, 127, 29, 63, 104, 45, 86, 51, 248, 52, 191, 61, 0, 54, 168, 187, 240, 52, 191, 61, 63, 0, 126, 95, 130, 53, 214, 52, 248, 58, 150, 61, 94, 6, 235, 190, 224, 213, 224, 61, 13, 93, 151, 120, 241, 48, 20, 58, 248, 58, 150, 61, 94, 6, 235, 190, 224, 213, 224, 61, 50, 0, 126, 89, 102, 53, 93, 55, 248, 58, 150, 61, 0, 54, 168, 187, 224, 213, 224, 61, 0, 127, 29, 63, 160, 45, 155, 51, 248, 58, 150, 61, 0, 54, 168, 187, 224, 213, 224, 61, 50, 0, 126, 89, 102, 53, 214, 52, 8, 246, 78, 61, 94, 6, 235, 190, 224, 210, 249, 61, 9, 95, 152, 120, 213, 48, 3, 58, 8, 246, 78, 61, 94, 6, 235, 190, 224, 210, 249, 61, 37, 0, 126, 82, 70, 53, 93, 55, 8, 246, 78, 61, 0, 54, 168, 187, 224, 210, 249, 61, 0, 127, 29, 63, 188, 45, 227, 51, 8, 246, 78, 61, 0, 54, 168, 187, 224, 210, 249, 61, 37, 0, 126, 82, 70, 53, 214, 52, 16, 4, 211, 60, 94, 6, 235, 190, 16, 155, 4, 62, 4, 97, 153, 120, 199, 48, 241, 57, 16, 4, 211, 60, 94, 6, 235, 190, 16, 155, 4, 62, 21, 0, 126, 74, 34, 53, 93, 55, 16, 4, 211, 60, 0, 54, 168, 187, 16, 155, 4, 62, 0, 127, 29, 63, 188, 45, 22, 52, 16, 4, 211, 60, 0, 54, 168, 187, 16, 155, 4, 62, 21, 0, 126, 74, 34, 53, 214, 52, 12, 155, 77, 51, 94, 6, 235, 190, 32, 52, 7, 62, 0, 0, 126, 63, 252, 52, 93, 55, 12, 155, 77, 51, 94, 6, 235, 190, 32, 52, 7, 62, 0, 101, 153, 120, 199, 48, 223, 57, 12, 155, 77, 51, 0, 54, 168, 187, 32, 52, 7, 62, 0, 0, 126, 63, 252, 52, 214, 52, 12, 155, 77, 51, 0, 54, 168, 187, 32, 52, 7, 62, 0, 127, 29, 63, 160, 45, 58, 52, 200, 3, 211, 188, 94, 6, 235, 190, 16, 155, 4, 62, 235, 0, 105, 63, 213, 52, 93, 55, 200, 3, 211, 188, 94, 6, 235, 190, 16, 155, 4, 62, 252, 97, 152, 120, 213, 48, 205, 57, 200, 3, 211, 188, 0, 54, 168, 187, 16, 155, 4, 62, 235, 0, 105, 63, 213, 52, 214, 52, 200, 3, 211, 188, 0, 54, 168, 187, 16, 155, 4, 62, 0, 127, 29, 63, 104, 45, 92, 52, 232, 245, 78, 189, 94, 6, 235, 190, 224, 210, 249, 61, 219, 0, 89, 63, 174, 52, 93, 55, 232, 245, 78, 189, 94, 6, 235, 190, 224, 210, 249, 61, 247, 95, 150, 120, 241, 48, 188, 57, 232, 245, 78, 189, 0, 54, 168, 187, 224, 210, 249, 61, 219, 0, 89, 63, 174, 52, 214, 52, 232, 245, 78, 189, 0, 54, 168, 187, 224, 210, 249, 61, 0, 127, 29, 63, 24, 45, 123, 52, 232, 58, 150, 189, 94, 6, 235, 190, 224, 213, 224, 61, 206, 0, 75, 63, 29, 49, 93, 55, 232, 58, 150, 189, 94, 6, 235, 190, 224, 213, 224, 61, 206, 0, 75, 63, 138, 52, 93, 55, 232, 58, 150, 189, 94, 6, 235, 190, 224, 213, 224, 61, 243, 93, 148, 120, 25, 49, 173, 57, 232, 58, 150, 189, 0, 54, 168, 187, 224, 213, 224, 61, 206, 0, 75, 63, 29, 49, 214, 52, 232, 58, 150, 189, 0, 54, 168, 187, 224, 213, 224, 61, 206, 0, 75, 63, 138, 52, 214, 52, 232, 58, 150, 189, 0, 54, 168, 187, 224, 213, 224, 61, 0, 127, 29, 63, 178, 44, 149, 52, 232, 52, 191, 189, 94, 6, 235, 190, 240, 52, 191, 61, 193, 0, 63, 63, 220, 48, 93, 55, 232, 52, 191, 189, 94, 6, 235, 190, 240, 52, 191, 61, 240, 93, 145, 120, 76, 49, 160, 57, 232, 52, 191, 189, 0, 54, 168, 187, 240, 52, 191, 61, 193, 0, 63, 63, 220, 48, 214, 52, 232, 52, 191, 189, 0, 54, 168, 187, 240, 52, 191, 61, 0, 127, 29, 63, 58, 44, 170, 52, 216, 213, 224, 189, 94, 6, 235, 190, 244, 58, 150, 61, 180, 0, 50, 63, 148, 48, 93, 55, 216, 213, 224, 189, 94, 6, 235, 190, 244, 58, 150, 61, 237, 93, 141, 120, 137, 49, 150, 57, 216, 213, 224, 189, 0, 54, 168, 187, 244, 58, 150, 61, 180, 0, 50, 63, 148, 48, 214, 52, 216, 213, 224, 189, 0, 54, 168, 187, 244, 58, 150, 61, 0, 127, 29, 63, 104, 43, 184, 52, 216, 210, 249, 189, 94, 6, 235, 190, 248, 245, 78, 61, 167, 0, 37, 63, 72, 48, 93, 55, 216, 210, 249, 189, 94, 6, 235, 190, 248, 245, 78, 61, 234, 95, 137, 120, 204, 49, 144, 57, 216, 210, 249, 189, 0, 54, 168, 187, 248, 245, 78, 61, 167, 0, 37, 63, 72, 48, 214, 52, 216, 210, 249, 189, 0, 54, 168, 187, 248, 245, 78, 61, 0, 127, 29, 63, 77, 42, 191, 52, 12, 155, 4, 190, 94, 6, 235, 190, 240, 3, 211, 60, 151, 0, 21, 63, 244, 47, 93, 55, 12, 155, 4, 190, 94, 6, 235, 190, 240, 3, 211, 60, 232, 97, 131, 119, 19, 50, 141, 57, 12, 155, 4, 190, 0, 54, 168, 187, 240, 3, 211, 60, 151, 0, 21, 63, 244, 47, 214, 52, 12, 155, 4, 190, 0, 54, 168, 187, 240, 3, 211, 60, 0, 127, 29, 63, 43, 41, 191, 52, 28, 52, 7, 190, 94, 6, 235, 190, 0, 96, 216, 176, 129, 0, 0, 63, 91, 47, 93, 55, 28, 52, 7, 190, 94, 6, 235, 190, 0, 96, 216, 176, 231, 101, 133, 6, 91, 50, 141, 57, 28, 52, 7, 190, 0, 54, 168, 187, 0, 96, 216, 176, 129, 0, 0, 63, 91, 47, 214, 52, 28, 52, 7, 190, 0, 54, 168, 187, 0, 96, 216, 176, 0, 127, 29, 63, 16, 40, 184, 52, 12, 155, 4, 190, 94, 6, 235, 190, 248, 3, 211, 188, 129, 21, 235, 63, 202, 46, 93, 55, 12, 155, 4, 190, 94, 6, 235, 190, 248, 3, 211, 188, 227, 102, 138, 6, 162, 50, 145, 57, 12, 155, 4, 190, 0, 54, 168, 187, 248, 3, 211, 188, 129, 21, 235, 63, 202, 46, 214, 52, 12, 155, 4, 190, 0, 54, 168, 187, 248, 3, 211, 188, 0, 127, 29, 63, 9, 38, 170, 52, 216, 210, 249, 189, 94, 6, 235, 190, 248, 245, 78, 189, 129, 37, 219, 63, 73, 46, 93, 55, 216, 210, 249, 189, 94, 6, 235, 190, 248, 245, 78, 189, 225, 104, 142, 5, 229, 50, 153, 57, 216, 210, 249, 189, 0, 54, 168, 187, 248, 245, 78, 189, 129, 37, 219, 63, 73, 46, 214, 52, 216, 210, 249, 189, 0, 54, 168, 187, 248, 245, 78, 189, 0, 127, 29, 63, 40, 36, 149, 52, 216, 213, 224, 189, 94, 6, 235, 190, 236, 58, 150, 189, 129, 50, 206, 63, 218, 45, 93, 55, 216, 213, 224, 189, 94, 6, 235, 190, 236, 58, 150, 189, 223, 107, 146, 5, 34, 51, 163, 57, 216, 213, 224, 189, 0, 54, 168, 187, 236, 58, 150, 189, 129, 50, 206, 63, 218, 45, 214, 52, 216, 213, 224, 189, 0, 54, 168, 187, 236, 58, 150, 189, 0, 127, 29, 63, 31, 33, 123, 52, 232, 52, 191, 189, 94, 6, 235, 190, 240, 52, 191, 189, 129, 63, 193, 63, 132, 45, 94, 55, 232, 52, 191, 189, 94, 6, 235, 190, 240, 52, 191, 189, 129, 63, 93, 23, 27, 46, 84, 50, 232, 52, 191, 189, 94, 6, 235, 190, 240, 52, 191, 189, 223, 110, 149, 5, 85, 51, 177, 57, 232, 52, 191, 189, 0, 54, 168, 187, 240, 52, 191, 189, 129, 63, 193, 63, 132, 45, 214, 52, 232, 52, 191, 189, 0, 54, 168, 187, 240, 52, 191, 189, 129, 63, 93, 23, 27, 46, 174, 52, 232, 52, 191, 189, 0, 54, 168, 187, 240, 52, 191, 189, 0, 127, 29, 63, 57, 29, 92, 52, 232, 58, 150, 189, 94, 6, 235, 190, 224, 213, 224, 189, 129, 76, 99, 29, 171, 46, 106, 50, 232, 58, 150, 189, 94, 6, 235, 190, 224, 213, 224, 189, 223, 113, 151, 5, 125, 51, 192, 57, 232, 58, 150, 189, 0, 54, 168, 187, 224, 213, 224, 189, 129, 76, 99, 29, 171, 46, 185, 52, 232, 58, 150, 189, 0, 54, 168, 187, 224, 213, 224, 189, 0, 127, 29, 63, 13, 23, 58, 52, 232, 245, 78, 189, 94, 6, 235, 190, 224, 210, 249, 189, 129, 89, 115, 40, 68, 47, 118, 50, 232, 245, 78, 189, 94, 6, 235, 190, 224, 210, 249, 189, 225, 117, 152, 5, 153, 51, 209, 57, 232, 245, 78, 189, 0, 54, 168, 187, 224, 210, 249, 189, 129, 89, 115, 40, 68, 47, 191, 52, 232, 245, 78, 189, 0, 54, 168, 187, 224, 210, 249, 189, 0, 127, 29, 63, 0, 0, 22, 52, 200, 3, 211, 188, 94, 6, 235, 190, 16, 155, 4, 190, 129, 105, 114, 79, 224, 47, 118, 50, 200, 3, 211, 188, 94, 6, 235, 190, 16, 155, 4, 190, 227, 122, 153, 5, 167, 51, 228, 57, 200, 3, 211, 188, 0, 54, 168, 187, 16, 155, 4, 190, 129, 105, 114, 79, 224, 47, 191, 52, 200, 3, 211, 188, 0, 54, 168, 187, 16, 155, 4, 190, 0, 127, 29, 63, 0, 0, 227, 51, 53, 184, 43, 51, 229, 13, 10, 191, 84, 167, 229, 190, 221, 127, 162, 4, 185, 53, 14, 58, 147, 53, 179, 61, 229, 13, 10, 191, 178, 61, 225, 190, 39, 120, 161, 4, 161, 53, 75, 58, 13, 196, 47, 62, 229, 13, 10, 191, 52, 44, 212, 190, 42, 114, 159, 4, 114, 53, 132, 58, 29, 44, 127, 62, 229, 13, 10, 191, 107, 243, 190, 190, 43, 109, 156, 4, 45, 53, 183, 58, 232, 98, 162, 62, 229, 13, 10, 191, 26, 100, 162, 190, 44, 104, 152, 5, 214, 52, 226, 58, 58, 242, 190, 62, 229, 13, 10, 191, 128, 46, 127, 190, 43, 100, 147, 5, 112, 52, 4, 59, 3, 43, 212, 62, 229, 13, 10, 191, 111, 198, 47, 190, 42, 97, 140, 6, 253, 51, 26, 59, 127, 60, 225, 62, 229, 13, 10, 191, 89, 58, 179, 189, 39, 94, 133, 6, 11, 51, 37, 59, 34, 166, 229, 62, 229, 13, 10, 191, 153, 21, 25, 183, 35, 91, 135, 120, 21, 50, 35, 59, 127, 60, 225, 62, 229, 13, 10, 191, 194, 48, 179, 61, 32, 87, 142, 120, 35, 49, 21, 59, 3, 43, 212, 62, 229, 13, 10, 191, 157, 193, 47, 62, 29, 84, 148, 120, 64, 48, 252, 58, 58, 242, 190, 62, 229, 13, 10, 191, 181, 41, 127, 62, 26, 83, 153, 120, 230, 46, 216, 58, 232, 98, 162, 62, 229, 13, 10, 191, 180, 97, 162, 62, 22, 82, 156, 120, 138, 45, 170, 58, 29, 44, 127, 62, 229, 13, 10, 191, 6, 241, 190, 62, 17, 83, 159, 120, 120, 44, 117, 58, 13, 196, 47, 62, 229, 13, 10, 191, 207, 41, 212, 62, 12, 84, 161, 120, 120, 43, 59, 58, 147, 53, 179, 61, 229, 13, 10, 191, 76, 59, 225, 62, 6, 87, 161, 120, 184, 42, 253, 57, 128, 139, 83, 48, 229, 13, 10, 191, 239, 164, 229, 62, 0, 91, 161, 120, 184, 42, 191, 57, 129, 53, 179, 189, 229, 13, 10, 191, 76, 59, 225, 62, 250, 87, 160, 120, 120, 43, 130, 57, 6, 196, 47, 190, 229, 13, 10, 191, 207, 41, 212, 62, 244, 84, 158, 120, 120, 44, 72, 57, 23, 44, 127, 190, 229, 13, 10, 191, 6, 241, 190, 62, 239, 83, 155, 120, 138, 45, 21, 57, 230, 98, 162, 190, 229, 13, 10, 191, 180, 97, 162, 62, 234, 82, 151, 120, 230, 46, 234, 56, 55, 242, 190, 190, 229, 13, 10, 191, 187, 41, 127, 62, 230, 83, 146, 120, 64, 48, 201, 56, 0, 43, 212, 190, 229, 13, 10, 191, 164, 193, 47, 62, 227, 84, 140, 120, 35, 49, 179, 56, 126, 60, 225, 190, 229, 13, 10, 191, 194, 48, 179, 61, 224, 87, 132, 119, 21, 50, 168, 56, 33, 166, 229, 190, 229, 13, 10, 191, 199, 128, 25, 183, 221, 91, 135, 6, 11, 51, 170, 56, 126, 60, 225, 190, 229, 13, 10, 191, 96, 58, 179, 189, 217, 94, 142, 6, 253, 51, 184, 56, 0, 43, 212, 190, 229, 13, 10, 191, 111, 198, 47, 190, 214, 97, 148, 5, 112, 52, 209, 56, 55, 242, 190, 190, 229, 13, 10, 191, 121, 46, 127, 190, 213, 100, 153, 5, 214, 52, 245, 56, 230, 98, 162, 190, 229, 13, 10, 191, 26, 100, 162, 190, 212, 104, 156, 4, 45, 53, 35, 57, 23, 44, 127, 190, 229, 13, 10, 191, 107, 243, 190, 190, 213, 109, 159, 4, 114, 53, 88, 57, 6, 196, 47, 190, 229, 13, 10, 191, 52, 44, 212, 190, 214, 114, 161, 4, 161, 53, 146, 57, 129, 53, 179, 189, 229, 13, 10, 191, 178, 61, 225, 190, 217, 120, 162, 4, 185, 53, 208, 57, 125, 142, 82, 51, 186, 83, 33, 191, 20, 239, 32, 191, 207, 127, 177, 3, 231, 54, 26, 58, 97, 43, 251, 61, 186, 83, 33, 191, 119, 215, 29, 191, 54, 117, 176, 3, 197, 54, 111, 58, 227, 87, 118, 62, 186, 83, 33, 191, 10, 175, 20, 191, 57, 110, 173, 3, 131, 54, 191, 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86, 59, 56, 237, 56, 6, 247, 213, 190, 182, 152, 67, 191, 11, 29, 32, 191, 175, 162, 14, 31, 35, 59, 35, 49, 6, 247, 213, 190, 182, 152, 67, 191, 11, 29, 32, 191, 26, 195, 18, 87, 20, 56, 78, 57, 179, 97, 147, 190, 182, 152, 67, 191, 128, 232, 49, 191, 177, 153, 14, 31, 18, 59, 192, 50, 179, 97, 147, 190, 182, 152, 67, 191, 128, 232, 49, 191, 18, 193, 18, 87, 0, 56, 181, 57, 213, 68, 22, 190, 182, 152, 67, 191, 188, 221, 60, 191, 180, 142, 14, 31, 18, 59, 50, 52, 213, 68, 22, 190, 182, 152, 67, 191, 188, 221, 60, 191, 10, 190, 18, 87, 0, 56, 30, 58 ),
+"array_index_data": PoolByteArray( 0, 0, 9, 0, 2, 0, 0, 0, 6, 0, 9, 0, 5, 0, 13, 0, 8, 0, 5, 0, 11, 0, 13, 0, 11, 0, 17, 0, 13, 0, 11, 0, 15, 0, 17, 0, 15, 0, 21, 0, 17, 0, 15, 0, 19, 0, 21, 0, 19, 0, 25, 0, 21, 0, 19, 0, 23, 0, 25, 0, 23, 0, 29, 0, 25, 0, 23, 0, 27, 0, 29, 0, 27, 0, 33, 0, 29, 0, 27, 0, 31, 0, 33, 0, 31, 0, 37, 0, 33, 0, 31, 0, 35, 0, 37, 0, 35, 0, 41, 0, 37, 0, 35, 0, 39, 0, 41, 0, 39, 0, 45, 0, 41, 0, 39, 0, 43, 0, 45, 0, 43, 0, 50, 0, 45, 0, 43, 0, 47, 0, 50, 0, 48, 0, 55, 0, 51, 0, 48, 0, 53, 0, 55, 0, 53, 0, 59, 0, 55, 0, 53, 0, 57, 0, 59, 0, 57, 0, 63, 0, 59, 0, 57, 0, 61, 0, 63, 0, 61, 0, 67, 0, 63, 0, 61, 0, 65, 0, 67, 0, 65, 0, 70, 0, 67, 0, 65, 0, 68, 0, 70, 0, 68, 0, 74, 0, 70, 0, 68, 0, 72, 0, 74, 0, 72, 0, 78, 0, 74, 0, 72, 0, 76, 0, 78, 0, 76, 0, 84, 0, 78, 0, 76, 0, 81, 0, 84, 0, 80, 0, 88, 0, 83, 0, 80, 0, 86, 0, 88, 0, 86, 0, 92, 0, 88, 0, 86, 0, 90, 0, 92, 0, 90, 0, 96, 0, 92, 0, 90, 0, 94, 0, 96, 0, 94, 0, 100, 0, 96, 0, 94, 0, 98, 0, 100, 0, 98, 0, 104, 0, 100, 0, 98, 0, 102, 0, 104, 0, 102, 0, 108, 0, 104, 0, 102, 0, 106, 0, 108, 0, 106, 0, 112, 0, 108, 0, 106, 0, 110, 0, 112, 0, 110, 0, 116, 0, 112, 0, 110, 0, 114, 0, 116, 0, 114, 0, 121, 0, 116, 0, 114, 0, 118, 0, 121, 0, 119, 0, 126, 0, 122, 0, 119, 0, 124, 0, 126, 0, 124, 0, 130, 0, 126, 0, 124, 0, 128, 0, 130, 0, 128, 0, 134, 0, 130, 0, 128, 0, 132, 0, 134, 0, 132, 0, 2, 0, 134, 0, 132, 0, 0, 0, 2, 0, 133, 0, 136, 0, 1, 0, 133, 0, 167, 0, 136, 0, 38, 0, 146, 0, 42, 0, 38, 0, 145, 0, 146, 0, 77, 0, 155, 0, 82, 0, 77, 0, 154, 0, 155, 0, 115, 0, 164, 0, 120, 0, 115, 0, 163, 0, 164, 0, 22, 0, 142, 0, 26, 0, 22, 0, 141, 0, 142, 0, 60, 0, 151, 0, 64, 0, 60, 0, 150, 0, 151, 0, 99, 0, 160, 0, 103, 0, 99, 0, 159, 0, 160, 0, 4, 0, 138, 0, 10, 0, 4, 0, 137, 0, 138, 0, 42, 0, 147, 0, 46, 0, 42, 0, 146, 0, 147, 0, 82, 0, 156, 0, 87, 0, 82, 0, 155, 0, 156, 0, 120, 0, 165, 0, 125, 0, 120, 0, 164, 0, 165, 0, 26, 0, 143, 0, 30, 0, 26, 0, 142, 0, 143, 0, 64, 0, 152, 0, 69, 0, 64, 0, 151, 0, 152, 0, 103, 0, 161, 0, 107, 0, 103, 0, 160, 0, 161, 0, 10, 0, 139, 0, 14, 0, 10, 0, 138, 0, 139, 0, 46, 0, 148, 0, 52, 0, 46, 0, 147, 0, 148, 0, 87, 0, 157, 0, 91, 0, 87, 0, 156, 0, 157, 0, 125, 0, 166, 0, 129, 0, 125, 0, 165, 0, 166, 0, 30, 0, 144, 0, 34, 0, 30, 0, 143, 0, 144, 0, 69, 0, 153, 0, 73, 0, 69, 0, 152, 0, 153, 0, 107, 0, 162, 0, 111, 0, 107, 0, 161, 0, 162, 0, 14, 0, 140, 0, 18, 0, 14, 0, 139, 0, 140, 0, 52, 0, 149, 0, 56, 0, 52, 0, 148, 0, 149, 0, 91, 0, 158, 0, 95, 0, 91, 0, 157, 0, 158, 0, 129, 0, 167, 0, 133, 0, 129, 0, 166, 0, 167, 0, 34, 0, 145, 0, 38, 0, 34, 0, 144, 0, 145, 0, 73, 0, 154, 0, 77, 0, 73, 0, 153, 0, 154, 0, 111, 0, 163, 0, 115, 0, 111, 0, 162, 0, 163, 0, 18, 0, 141, 0, 22, 0, 18, 0, 140, 0, 141, 0, 56, 0, 150, 0, 60, 0, 56, 0, 149, 0, 150, 0, 95, 0, 159, 0, 99, 0, 95, 0, 158, 0, 159, 0, 1, 0, 137, 0, 4, 0, 1, 0, 136, 0, 137, 0, 161, 0, 200, 0, 162, 0, 161, 0, 199, 0, 200, 0, 148, 0, 181, 0, 149, 0, 148, 0, 180, 0, 181, 0, 162, 0, 201, 0, 163, 0, 162, 0, 200, 0, 201, 0, 149, 0, 183, 0, 150, 0, 149, 0, 181, 0, 183, 0, 136, 0, 169, 0, 137, 0, 136, 0, 168, 0, 169, 0, 163, 0, 202, 0, 164, 0, 163, 0, 201, 0, 202, 0, 150, 0, 185, 0, 151, 0, 150, 0, 183, 0, 185, 0, 137, 0, 170, 0, 138, 0, 137, 0, 169, 0, 170, 0, 164, 0, 203, 0, 165, 0, 164, 0, 202, 0, 203, 0, 151, 0, 187, 0, 152, 0, 151, 0, 185, 0, 187, 0, 138, 0, 171, 0, 139, 0, 138, 0, 170, 0, 171, 0, 165, 0, 204, 0, 166, 0, 165, 0, 203, 0, 204, 0, 152, 0, 189, 0, 153, 0, 152, 0, 187, 0, 189, 0, 139, 0, 172, 0, 140, 0, 139, 0, 171, 0, 172, 0, 166, 0, 205, 0, 167, 0, 166, 0, 204, 0, 205, 0, 153, 0, 191, 0, 154, 0, 153, 0, 189, 0, 191, 0, 140, 0, 173, 0, 141, 0, 140, 0, 172, 0, 173, 0, 167, 0, 168, 0, 136, 0, 167, 0, 205, 0, 168, 0, 154, 0, 193, 0, 155, 0, 154, 0, 191, 0, 193, 0, 141, 0, 174, 0, 142, 0, 141, 0, 173, 0, 174, 0, 155, 0, 194, 0, 156, 0, 155, 0, 193, 0, 194, 0, 142, 0, 175, 0, 143, 0, 142, 0, 174, 0, 175, 0, 156, 0, 195, 0, 157, 0, 156, 0, 194, 0, 195, 0, 143, 0, 176, 0, 144, 0, 143, 0, 175, 0, 176, 0, 157, 0, 196, 0, 158, 0, 157, 0, 195, 0, 196, 0, 144, 0, 177, 0, 145, 0, 144, 0, 176, 0, 177, 0, 158, 0, 197, 0, 159, 0, 158, 0, 196, 0, 197, 0, 145, 0, 178, 0, 146, 0, 145, 0, 177, 0, 178, 0, 159, 0, 198, 0, 160, 0, 159, 0, 197, 0, 198, 0, 146, 0, 179, 0, 147, 0, 146, 0, 178, 0, 179, 0, 160, 0, 199, 0, 161, 0, 160, 0, 198, 0, 199, 0, 147, 0, 180, 0, 148, 0, 147, 0, 179, 0, 180, 0, 169, 0, 210, 0, 170, 0, 169, 0, 208, 0, 210, 0, 202, 0, 15, 1, 203, 0, 202, 0, 13, 1, 15, 1, 186, 0, 242, 0, 188, 0, 186, 0, 239, 0, 242, 0, 170, 0, 212, 0, 171, 0, 170, 0, 210, 0, 212, 0, 203, 0, 17, 1, 204, 0, 203, 0, 15, 1, 17, 1, 188, 0, 244, 0, 190, 0, 188, 0, 242, 0, 244, 0, 171, 0, 214, 0, 172, 0, 171, 0, 212, 0, 214, 0, 204, 0, 19, 1, 205, 0, 204, 0, 17, 1, 19, 1, 190, 0, 247, 0, 192, 0, 190, 0, 244, 0, 247, 0, 172, 0, 217, 0, 173, 0, 172, 0, 214, 0, 217, 0, 205, 0, 206, 0, 168, 0, 205, 0, 19, 1, 206, 0, 191, 0, 249, 0, 193, 0, 191, 0, 246, 0, 249, 0, 173, 0, 219, 0, 174, 0, 173, 0, 217, 0, 219, 0, 193, 0, 252, 0, 194, 0, 193, 0, 249, 0, 252, 0, 174, 0, 221, 0, 175, 0, 174, 0, 219, 0, 221, 0, 194, 0, 254, 0, 195, 0, 194, 0, 252, 0, 254, 0, 175, 0, 223, 0, 176, 0, 175, 0, 221, 0, 223, 0, 195, 0, 0, 1, 196, 0, 195, 0, 254, 0, 0, 1, 176, 0, 225, 0, 177, 0, 176, 0, 223, 0, 225, 0, 196, 0, 2, 1, 197, 0, 196, 0, 0, 1, 2, 1, 177, 0, 228, 0, 178, 0, 177, 0, 225, 0, 228, 0, 197, 0, 4, 1, 198, 0, 197, 0, 2, 1, 4, 1, 178, 0, 230, 0, 179, 0, 178, 0, 228, 0, 230, 0, 198, 0, 7, 1, 199, 0, 198, 0, 4, 1, 7, 1, 179, 0, 232, 0, 180, 0, 179, 0, 230, 0, 232, 0, 199, 0, 9, 1, 200, 0, 199, 0, 7, 1, 9, 1, 180, 0, 234, 0, 181, 0, 180, 0, 232, 0, 234, 0, 200, 0, 11, 1, 201, 0, 200, 0, 9, 1, 11, 1, 182, 0, 237, 0, 184, 0, 182, 0, 235, 0, 237, 0, 168, 0, 208, 0, 169, 0, 168, 0, 206, 0, 208, 0, 201, 0, 13, 1, 202, 0, 201, 0, 11, 1, 13, 1, 184, 0, 239, 0, 186, 0, 184, 0, 237, 0, 239, 0, 21, 1, 26, 1, 24, 1, 21, 1, 23, 1, 26, 1, 24, 1, 30, 1, 28, 1, 24, 1, 26, 1, 30, 1, 28, 1, 36, 1, 33, 1, 28, 1, 30, 1, 36, 1, 32, 1, 40, 1, 38, 1, 32, 1, 35, 1, 40, 1, 38, 1, 44, 1, 42, 1, 38, 1, 40, 1, 44, 1, 42, 1, 48, 1, 46, 1, 42, 1, 44, 1, 48, 1, 46, 1, 52, 1, 50, 1, 46, 1, 48, 1, 52, 1, 50, 1, 56, 1, 54, 1, 50, 1, 52, 1, 56, 1, 54, 1, 61, 1, 58, 1, 54, 1, 56, 1, 61, 1, 58, 1, 65, 1, 63, 1, 58, 1, 61, 1, 65, 1, 63, 1, 69, 1, 67, 1, 63, 1, 65, 1, 69, 1, 67, 1, 74, 1, 71, 1, 67, 1, 69, 1, 74, 1, 72, 1, 79, 1, 77, 1, 72, 1, 75, 1, 79, 1, 77, 1, 83, 1, 81, 1, 77, 1, 79, 1, 83, 1, 81, 1, 87, 1, 85, 1, 81, 1, 83, 1, 87, 1, 85, 1, 92, 1, 90, 1, 85, 1, 87, 1, 92, 1, 90, 1, 98, 1, 95, 1, 90, 1, 92, 1, 98, 1, 94, 1, 102, 1, 100, 1, 94, 1, 97, 1, 102, 1, 100, 1, 106, 1, 104, 1, 100, 1, 102, 1, 106, 1, 104, 1, 111, 1, 109, 1, 104, 1, 106, 1, 111, 1, 109, 1, 115, 1, 113, 1, 109, 1, 111, 1, 115, 1, 113, 1, 119, 1, 117, 1, 113, 1, 115, 1, 119, 1, 117, 1, 123, 1, 121, 1, 117, 1, 119, 1, 123, 1, 121, 1, 127, 1, 125, 1, 121, 1, 123, 1, 127, 1, 125, 1, 131, 1, 129, 1, 125, 1, 127, 1, 131, 1, 129, 1, 135, 1, 133, 1, 129, 1, 131, 1, 135, 1, 133, 1, 140, 1, 137, 1, 133, 1, 135, 1, 140, 1, 138, 1, 145, 1, 143, 1, 138, 1, 141, 1, 145, 1, 143, 1, 149, 1, 147, 1, 143, 1, 145, 1, 149, 1, 147, 1, 153, 1, 151, 1, 147, 1, 149, 1, 153, 1, 151, 1, 157, 1, 155, 1, 151, 1, 153, 1, 157, 1, 155, 1, 23, 1, 21, 1, 155, 1, 157, 1, 23, 1, 154, 1, 158, 1, 193, 1, 154, 1, 20, 1, 158, 1, 59, 1, 170, 1, 168, 1, 59, 1, 64, 1, 170, 1, 99, 1, 179, 1, 178, 1, 99, 1, 103, 1, 179, 1, 136, 1, 190, 1, 189, 1, 136, 1, 142, 1, 190, 1, 43, 1, 164, 1, 163, 1, 43, 1, 47, 1, 164, 1, 82, 1, 175, 1, 174, 1, 82, 1, 86, 1, 175, 1, 120, 1, 186, 1, 185, 1, 120, 1, 124, 1, 186, 1, 25, 1, 160, 1, 159, 1, 25, 1, 29, 1, 160, 1, 64, 1, 171, 1, 170, 1, 64, 1, 68, 1, 171, 1, 103, 1, 180, 1, 179, 1, 103, 1, 107, 1, 180, 1, 142, 1, 191, 1, 190, 1, 142, 1, 146, 1, 191, 1, 47, 1, 165, 1, 164, 1, 47, 1, 51, 1, 165, 1, 86, 1, 176, 1, 175, 1, 86, 1, 89, 1, 176, 1, 124, 1, 187, 1, 186, 1, 124, 1, 128, 1, 187, 1, 29, 1, 161, 1, 160, 1, 29, 1, 34, 1, 161, 1, 68, 1, 172, 1, 171, 1, 68, 1, 73, 1, 172, 1, 108, 1, 183, 1, 181, 1, 108, 1, 112, 1, 183, 1, 146, 1, 192, 1, 191, 1, 146, 1, 150, 1, 192, 1, 51, 1, 166, 1, 165, 1, 51, 1, 55, 1, 166, 1, 89, 1, 177, 1, 176, 1, 89, 1, 93, 1, 177, 1, 128, 1, 188, 1, 187, 1, 128, 1, 132, 1, 188, 1, 34, 1, 162, 1, 161, 1, 34, 1, 39, 1, 162, 1, 73, 1, 173, 1, 172, 1, 73, 1, 78, 1, 173, 1, 112, 1, 184, 1, 183, 1, 112, 1, 116, 1, 184, 1, 150, 1, 193, 1, 192, 1, 150, 1, 154, 1, 193, 1, 55, 1, 169, 1, 166, 1, 55, 1, 60, 1, 169, 1, 93, 1, 178, 1, 177, 1, 93, 1, 99, 1, 178, 1, 132, 1, 189, 1, 188, 1, 132, 1, 136, 1, 189, 1, 39, 1, 163, 1, 162, 1, 39, 1, 43, 1, 163, 1, 78, 1, 174, 1, 173, 1, 78, 1, 82, 1, 174, 1, 116, 1, 185, 1, 184, 1, 116, 1, 120, 1, 185, 1, 20, 1, 159, 1, 158, 1, 20, 1, 25, 1, 159, 1, 187, 1, 224, 1, 223, 1, 187, 1, 188, 1, 224, 1, 172, 1, 209, 1, 208, 1, 172, 1, 173, 1, 209, 1, 188, 1, 225, 1, 224, 1, 188, 1, 189, 1, 225, 1, 173, 1, 210, 1, 209, 1, 173, 1, 174, 1, 210, 1, 158, 1, 195, 1, 194, 1, 158, 1, 159, 1, 195, 1, 189, 1, 226, 1, 225, 1, 189, 1, 190, 1, 226, 1, 174, 1, 211, 1, 210, 1, 174, 1, 175, 1, 211, 1, 159, 1, 196, 1, 195, 1, 159, 1, 160, 1, 196, 1, 190, 1, 227, 1, 226, 1, 190, 1, 191, 1, 227, 1, 175, 1, 212, 1, 211, 1, 175, 1, 176, 1, 212, 1, 160, 1, 197, 1, 196, 1, 160, 1, 161, 1, 197, 1, 191, 1, 228, 1, 227, 1, 191, 1, 192, 1, 228, 1, 176, 1, 213, 1, 212, 1, 176, 1, 177, 1, 213, 1, 161, 1, 198, 1, 197, 1, 161, 1, 162, 1, 198, 1, 192, 1, 229, 1, 228, 1, 192, 1, 193, 1, 229, 1, 177, 1, 214, 1, 213, 1, 177, 1, 178, 1, 214, 1, 162, 1, 199, 1, 198, 1, 162, 1, 163, 1, 199, 1, 193, 1, 194, 1, 229, 1, 193, 1, 158, 1, 194, 1, 178, 1, 215, 1, 214, 1, 178, 1, 179, 1, 215, 1, 163, 1, 200, 1, 199, 1, 163, 1, 164, 1, 200, 1, 179, 1, 216, 1, 215, 1, 179, 1, 180, 1, 216, 1, 164, 1, 201, 1, 200, 1, 164, 1, 165, 1, 201, 1, 180, 1, 217, 1, 216, 1, 180, 1, 182, 1, 217, 1, 165, 1, 203, 1, 201, 1, 165, 1, 166, 1, 203, 1, 183, 1, 220, 1, 218, 1, 183, 1, 184, 1, 220, 1, 167, 1, 205, 1, 204, 1, 167, 1, 168, 1, 205, 1, 184, 1, 221, 1, 220, 1, 184, 1, 185, 1, 221, 1, 168, 1, 206, 1, 205, 1, 168, 1, 170, 1, 206, 1, 185, 1, 222, 1, 221, 1, 185, 1, 186, 1, 222, 1, 170, 1, 207, 1, 206, 1, 170, 1, 171, 1, 207, 1, 186, 1, 223, 1, 222, 1, 186, 1, 187, 1, 223, 1, 171, 1, 208, 1, 207, 1, 171, 1, 172, 1, 208, 1, 195, 1, 234, 1, 232, 1, 195, 1, 196, 1, 234, 1, 226, 1, 39, 2, 37, 2, 226, 1, 227, 1, 39, 2, 211, 1, 10, 2, 7, 2, 211, 1, 212, 1, 10, 2, 196, 1, 236, 1, 234, 1, 196, 1, 197, 1, 236, 1, 227, 1, 41, 2, 39, 2, 227, 1, 228, 1, 41, 2, 212, 1, 12, 2, 10, 2, 212, 1, 213, 1, 12, 2, 197, 1, 238, 1, 236, 1, 197, 1, 198, 1, 238, 1, 228, 1, 43, 2, 41, 2, 228, 1, 229, 1, 43, 2, 213, 1, 14, 2, 12, 2, 213, 1, 214, 1, 14, 2, 198, 1, 241, 1, 238, 1, 198, 1, 199, 1, 241, 1, 229, 1, 230, 1, 43, 2, 229, 1, 194, 1, 230, 1, 214, 1, 16, 2, 14, 2, 214, 1, 215, 1, 16, 2, 199, 1, 243, 1, 241, 1, 199, 1, 200, 1, 243, 1, 215, 1, 19, 2, 16, 2, 215, 1, 216, 1, 19, 2, 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+"blend_shape_data": [ ],
+"format": 2194711,
+"index_count": 1920,
+"primitive": 4,
+"skeleton_aabb": [ ],
+"vertex_count": 556
+}
+
+[sub_resource type="SpatialMaterial" id=46]
+emission_enabled = true
+emission = Color( 1, 0.960784, 0.788235, 1 )
+emission_energy = 5.0
+emission_operator = 0
+emission_on_uv2 = false
+
+[sub_resource type="SphereMesh" id=47]
+material = SubResource( 46 )
+radius = 0.1
+height = 0.2
+
+[sub_resource type="ArrayMesh" id=49]
+resource_name = "light_fixture_Cylinder001"
+surfaces/0 = {
+"aabb": AABB( -0.770593, -0.764049, -0.770604, 1.54119, 0.758916, 1.54119 ),
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29, 32, 191, 81, 162, 17, 38, 181, 59, 6, 55, 179, 41, 8, 63, 182, 152, 67, 191, 107, 42, 8, 191, 223, 196, 22, 77, 17, 57, 195, 59, 179, 41, 8, 63, 182, 152, 67, 191, 107, 42, 8, 191, 82, 171, 206, 33, 219, 55, 188, 50, 179, 41, 8, 63, 182, 152, 67, 191, 107, 42, 8, 191, 82, 171, 16, 41, 255, 59, 123, 55, 82, 28, 32, 63, 182, 152, 67, 191, 123, 248, 213, 190, 217, 195, 25, 73, 111, 57, 235, 59, 82, 28, 32, 63, 182, 152, 67, 191, 123, 248, 213, 190, 81, 178, 207, 31, 218, 55, 32, 52, 198, 231, 49, 63, 182, 152, 67, 191, 41, 99, 147, 190, 211, 193, 27, 67, 211, 57, 0, 60, 198, 231, 49, 63, 182, 152, 67, 191, 41, 99, 147, 190, 79, 186, 208, 31, 218, 55, 239, 52, 0, 221, 60, 63, 181, 152, 67, 191, 199, 71, 22, 190, 206, 190, 25, 61, 57, 58, 255, 59, 0, 221, 60, 63, 181, 152, 67, 191, 199, 71, 22, 190, 206, 190, 105, 4, 240, 58, 41, 40, 0, 221, 60, 63, 181, 152, 67, 191, 199, 71, 22, 190, 76, 193, 208, 31, 218, 55, 193, 53, 55, 144, 64, 63, 181, 152, 67, 191, 6, 108, 57, 183, 201, 185, 116, 7, 155, 58, 252, 36, 55, 144, 64, 63, 181, 152, 67, 191, 6, 108, 57, 183, 71, 201, 208, 31, 218, 55, 143, 54, 0, 221, 60, 63, 181, 152, 67, 191, 245, 65, 22, 62, 196, 180, 125, 117, 63, 58, 13, 36, 0, 221, 60, 63, 181, 152, 67, 191, 245, 65, 22, 62, 63, 206, 205, 33, 219, 55, 81, 55, 0, 221, 60, 63, 181, 152, 67, 191, 245, 65, 22, 62, 63, 206, 173, 10, 0, 60, 66, 56, 196, 231, 49, 63, 180, 152, 67, 191, 59, 96, 147, 62, 193, 175, 114, 116, 223, 57, 143, 37, 196, 231, 49, 63, 180, 152, 67, 191, 59, 96, 147, 62, 56, 209, 180, 8, 171, 59, 124, 56, 80, 28, 32, 63, 180, 152, 67, 191, 145, 245, 213, 62, 191, 169, 105, 115, 128, 57, 185, 40, 80, 28, 32, 63, 180, 152, 67, 191, 145, 245, 213, 62, 48, 211, 186, 8, 99, 59, 199, 56, 176, 41, 8, 63, 180, 152, 67, 191, 245, 40, 8, 63, 190, 163, 98, 115, 37, 57, 200, 43, 176, 41, 8, 63, 180, 152, 67, 191, 245, 40, 8, 63, 41, 212, 190, 7, 42, 59, 30, 57, 7, 247, 213, 62, 180, 152, 67, 191, 151, 27, 32, 63, 191, 156, 92, 115, 210, 56, 235, 45, 7, 247, 213, 62, 180, 152, 67, 191, 151, 27, 32, 63, 32, 211, 193, 7, 3, 59, 127, 57, 182, 97, 147, 62, 180, 152, 67, 191, 10, 231, 49, 63, 193, 148, 88, 114, 137, 56, 47, 48, 182, 97, 147, 62, 180, 152, 67, 191, 10, 231, 49, 63, 23, 209, 194, 7, 239, 58, 230, 57, 225, 68, 22, 62, 180, 152, 67, 191, 69, 220, 60, 63, 196, 140, 85, 114, 78, 56, 147, 49, 225, 68, 22, 62, 180, 152, 67, 191, 69, 220, 60, 63, 12, 206, 194, 7, 239, 58, 79, 58, 114, 80, 103, 178, 180, 152, 67, 191, 124, 143, 64, 63, 0, 201, 193, 7, 3, 59, 183, 58, 114, 80, 103, 178, 180, 152, 67, 191, 124, 143, 64, 63, 55, 130, 82, 114, 34, 56, 18, 51, 211, 68, 22, 190, 180, 152, 67, 191, 69, 220, 60, 63, 244, 206, 190, 7, 42, 59, 24, 59, 211, 68, 22, 190, 180, 152, 67, 191, 69, 220, 60, 63, 60, 140, 80, 114, 8, 56, 80, 52, 177, 97, 147, 190, 180, 152, 67, 191, 11, 231, 49, 63, 233, 209, 186, 8, 99, 59, 111, 59, 177, 97, 147, 190, 180, 152, 67, 191, 11, 231, 49, 63, 63, 148, 80, 114, 0, 56, 21, 53, 2, 247, 213, 190, 180, 152, 67, 191, 151, 27, 32, 63, 224, 211, 180, 8, 171, 59, 186, 59, 2, 247, 213, 190, 180, 152, 67, 191, 151, 27, 32, 63, 65, 156, 80, 114, 12, 56, 211, 53, 175, 41, 8, 191, 180, 152, 67, 191, 245, 40, 8, 63, 215, 212, 66, 25, 254, 48, 255, 41, 175, 41, 8, 191, 180, 152, 67, 191, 245, 40, 8, 63, 215, 212, 174, 8, 0, 60, 244, 59, 175, 41, 8, 191, 180, 152, 67, 191, 245, 40, 8, 63, 66, 163, 81, 114, 41, 56, 128, 54, 80, 28, 32, 191, 180, 152, 67, 191, 150, 245, 213, 62, 208, 211, 63, 24, 253, 48, 8, 46, 80, 28, 32, 191, 180, 152, 67, 191, 150, 245, 213, 62, 65, 169, 84, 114, 88, 56, 23, 55, 196, 231, 49, 191, 180, 152, 67, 191, 65, 96, 147, 62, 200, 209, 62, 24, 252, 48, 160, 48, 196, 231, 49, 191, 180, 152, 67, 191, 65, 96, 147, 62, 63, 175, 89, 113, 150, 56, 146, 55, 196, 231, 49, 191, 180, 152, 67, 191, 65, 96, 147, 62, 63, 175, 31, 61, 57, 58, 168, 55, 0, 221, 60, 191, 181, 152, 67, 191, 245, 65, 22, 62, 193, 206, 62, 24, 252, 48, 69, 50, 0, 221, 60, 191, 181, 152, 67, 191, 245, 65, 22, 62, 60, 180, 27, 67, 211, 57, 168, 55, 55, 144, 64, 191, 181, 152, 67, 191, 49, 35, 58, 183, 185, 201, 63, 24, 253, 48, 225, 51, 55, 144, 64, 191, 181, 152, 67, 191, 49, 35, 58, 183, 55, 185, 24, 73, 111, 57, 209, 55, 1, 221, 60, 191, 181, 152, 67, 191, 204, 71, 22, 190, 180, 193, 66, 25, 254, 48, 179, 52, 1, 221, 60, 191, 181, 152, 67, 191, 204, 71, 22, 190, 180, 193, 21, 41, 255, 59, 200, 29, 1, 221, 60, 191, 181, 152, 67, 191, 204, 71, 22, 190, 50, 190, 22, 77, 17, 57, 17, 56, 198, 231, 49, 191, 182, 152, 67, 191, 41, 99, 147, 190, 177, 186, 17, 38, 181, 59, 95, 40, 198, 231, 49, 191, 182, 152, 67, 191, 41, 99, 147, 190, 45, 193, 21, 81, 188, 56, 75, 56, 82, 28, 32, 191, 182, 152, 67, 191, 118, 248, 213, 190, 175, 178, 16, 35, 119, 59, 130, 44, 82, 28, 32, 191, 182, 152, 67, 191, 118, 248, 213, 190, 39, 195, 19, 84, 116, 56, 149, 56, 176, 41, 8, 191, 182, 152, 67, 191, 107, 42, 8, 191, 174, 171, 15, 33, 69, 59, 62, 47, 176, 41, 8, 191, 182, 152, 67, 191, 107, 42, 8, 191, 33, 196, 19, 86, 59, 56, 237, 56, 6, 247, 213, 190, 182, 152, 67, 191, 11, 29, 32, 191, 175, 162, 14, 31, 35, 59, 35, 49, 6, 247, 213, 190, 182, 152, 67, 191, 11, 29, 32, 191, 26, 195, 18, 87, 20, 56, 78, 57, 179, 97, 147, 190, 182, 152, 67, 191, 128, 232, 49, 191, 177, 153, 14, 31, 18, 59, 192, 50, 179, 97, 147, 190, 182, 152, 67, 191, 128, 232, 49, 191, 18, 193, 18, 87, 0, 56, 181, 57, 213, 68, 22, 190, 182, 152, 67, 191, 188, 221, 60, 191, 180, 142, 14, 31, 18, 59, 50, 52, 213, 68, 22, 190, 182, 152, 67, 191, 188, 221, 60, 191, 10, 190, 18, 87, 0, 56, 30, 58 ),
+"array_index_data": PoolByteArray( 0, 0, 9, 0, 2, 0, 0, 0, 6, 0, 9, 0, 5, 0, 13, 0, 8, 0, 5, 0, 11, 0, 13, 0, 11, 0, 17, 0, 13, 0, 11, 0, 15, 0, 17, 0, 15, 0, 21, 0, 17, 0, 15, 0, 19, 0, 21, 0, 19, 0, 25, 0, 21, 0, 19, 0, 23, 0, 25, 0, 23, 0, 29, 0, 25, 0, 23, 0, 27, 0, 29, 0, 27, 0, 33, 0, 29, 0, 27, 0, 31, 0, 33, 0, 31, 0, 37, 0, 33, 0, 31, 0, 35, 0, 37, 0, 35, 0, 41, 0, 37, 0, 35, 0, 39, 0, 41, 0, 39, 0, 45, 0, 41, 0, 39, 0, 43, 0, 45, 0, 43, 0, 50, 0, 45, 0, 43, 0, 47, 0, 50, 0, 48, 0, 55, 0, 51, 0, 48, 0, 53, 0, 55, 0, 53, 0, 59, 0, 55, 0, 53, 0, 57, 0, 59, 0, 57, 0, 63, 0, 59, 0, 57, 0, 61, 0, 63, 0, 61, 0, 67, 0, 63, 0, 61, 0, 65, 0, 67, 0, 65, 0, 70, 0, 67, 0, 65, 0, 68, 0, 70, 0, 68, 0, 74, 0, 70, 0, 68, 0, 72, 0, 74, 0, 72, 0, 78, 0, 74, 0, 72, 0, 76, 0, 78, 0, 76, 0, 84, 0, 78, 0, 76, 0, 81, 0, 84, 0, 80, 0, 88, 0, 83, 0, 80, 0, 86, 0, 88, 0, 86, 0, 92, 0, 88, 0, 86, 0, 90, 0, 92, 0, 90, 0, 96, 0, 92, 0, 90, 0, 94, 0, 96, 0, 94, 0, 100, 0, 96, 0, 94, 0, 98, 0, 100, 0, 98, 0, 104, 0, 100, 0, 98, 0, 102, 0, 104, 0, 102, 0, 108, 0, 104, 0, 102, 0, 106, 0, 108, 0, 106, 0, 112, 0, 108, 0, 106, 0, 110, 0, 112, 0, 110, 0, 116, 0, 112, 0, 110, 0, 114, 0, 116, 0, 114, 0, 121, 0, 116, 0, 114, 0, 118, 0, 121, 0, 119, 0, 126, 0, 122, 0, 119, 0, 124, 0, 126, 0, 124, 0, 130, 0, 126, 0, 124, 0, 128, 0, 130, 0, 128, 0, 134, 0, 130, 0, 128, 0, 132, 0, 134, 0, 132, 0, 2, 0, 134, 0, 132, 0, 0, 0, 2, 0, 133, 0, 136, 0, 1, 0, 133, 0, 167, 0, 136, 0, 38, 0, 146, 0, 42, 0, 38, 0, 145, 0, 146, 0, 77, 0, 155, 0, 82, 0, 77, 0, 154, 0, 155, 0, 115, 0, 164, 0, 120, 0, 115, 0, 163, 0, 164, 0, 22, 0, 142, 0, 26, 0, 22, 0, 141, 0, 142, 0, 60, 0, 151, 0, 64, 0, 60, 0, 150, 0, 151, 0, 99, 0, 160, 0, 103, 0, 99, 0, 159, 0, 160, 0, 4, 0, 138, 0, 10, 0, 4, 0, 137, 0, 138, 0, 42, 0, 147, 0, 46, 0, 42, 0, 146, 0, 147, 0, 82, 0, 156, 0, 87, 0, 82, 0, 155, 0, 156, 0, 120, 0, 165, 0, 125, 0, 120, 0, 164, 0, 165, 0, 26, 0, 143, 0, 30, 0, 26, 0, 142, 0, 143, 0, 64, 0, 152, 0, 69, 0, 64, 0, 151, 0, 152, 0, 103, 0, 161, 0, 107, 0, 103, 0, 160, 0, 161, 0, 10, 0, 139, 0, 14, 0, 10, 0, 138, 0, 139, 0, 46, 0, 148, 0, 52, 0, 46, 0, 147, 0, 148, 0, 87, 0, 157, 0, 91, 0, 87, 0, 156, 0, 157, 0, 125, 0, 166, 0, 129, 0, 125, 0, 165, 0, 166, 0, 30, 0, 144, 0, 34, 0, 30, 0, 143, 0, 144, 0, 69, 0, 153, 0, 73, 0, 69, 0, 152, 0, 153, 0, 107, 0, 162, 0, 111, 0, 107, 0, 161, 0, 162, 0, 14, 0, 140, 0, 18, 0, 14, 0, 139, 0, 140, 0, 52, 0, 149, 0, 56, 0, 52, 0, 148, 0, 149, 0, 91, 0, 158, 0, 95, 0, 91, 0, 157, 0, 158, 0, 129, 0, 167, 0, 133, 0, 129, 0, 166, 0, 167, 0, 34, 0, 145, 0, 38, 0, 34, 0, 144, 0, 145, 0, 73, 0, 154, 0, 77, 0, 73, 0, 153, 0, 154, 0, 111, 0, 163, 0, 115, 0, 111, 0, 162, 0, 163, 0, 18, 0, 141, 0, 22, 0, 18, 0, 140, 0, 141, 0, 56, 0, 150, 0, 60, 0, 56, 0, 149, 0, 150, 0, 95, 0, 159, 0, 99, 0, 95, 0, 158, 0, 159, 0, 1, 0, 137, 0, 4, 0, 1, 0, 136, 0, 137, 0, 161, 0, 200, 0, 162, 0, 161, 0, 199, 0, 200, 0, 148, 0, 181, 0, 149, 0, 148, 0, 180, 0, 181, 0, 162, 0, 201, 0, 163, 0, 162, 0, 200, 0, 201, 0, 149, 0, 183, 0, 150, 0, 149, 0, 181, 0, 183, 0, 136, 0, 169, 0, 137, 0, 136, 0, 168, 0, 169, 0, 163, 0, 202, 0, 164, 0, 163, 0, 201, 0, 202, 0, 150, 0, 185, 0, 151, 0, 150, 0, 183, 0, 185, 0, 137, 0, 170, 0, 138, 0, 137, 0, 169, 0, 170, 0, 164, 0, 203, 0, 165, 0, 164, 0, 202, 0, 203, 0, 151, 0, 187, 0, 152, 0, 151, 0, 185, 0, 187, 0, 138, 0, 171, 0, 139, 0, 138, 0, 170, 0, 171, 0, 165, 0, 204, 0, 166, 0, 165, 0, 203, 0, 204, 0, 152, 0, 189, 0, 153, 0, 152, 0, 187, 0, 189, 0, 139, 0, 172, 0, 140, 0, 139, 0, 171, 0, 172, 0, 166, 0, 205, 0, 167, 0, 166, 0, 204, 0, 205, 0, 153, 0, 191, 0, 154, 0, 153, 0, 189, 0, 191, 0, 140, 0, 173, 0, 141, 0, 140, 0, 172, 0, 173, 0, 167, 0, 168, 0, 136, 0, 167, 0, 205, 0, 168, 0, 154, 0, 193, 0, 155, 0, 154, 0, 191, 0, 193, 0, 141, 0, 174, 0, 142, 0, 141, 0, 173, 0, 174, 0, 155, 0, 194, 0, 156, 0, 155, 0, 193, 0, 194, 0, 142, 0, 175, 0, 143, 0, 142, 0, 174, 0, 175, 0, 156, 0, 195, 0, 157, 0, 156, 0, 194, 0, 195, 0, 143, 0, 176, 0, 144, 0, 143, 0, 175, 0, 176, 0, 157, 0, 196, 0, 158, 0, 157, 0, 195, 0, 196, 0, 144, 0, 177, 0, 145, 0, 144, 0, 176, 0, 177, 0, 158, 0, 197, 0, 159, 0, 158, 0, 196, 0, 197, 0, 145, 0, 178, 0, 146, 0, 145, 0, 177, 0, 178, 0, 159, 0, 198, 0, 160, 0, 159, 0, 197, 0, 198, 0, 146, 0, 179, 0, 147, 0, 146, 0, 178, 0, 179, 0, 160, 0, 199, 0, 161, 0, 160, 0, 198, 0, 199, 0, 147, 0, 180, 0, 148, 0, 147, 0, 179, 0, 180, 0, 169, 0, 210, 0, 170, 0, 169, 0, 208, 0, 210, 0, 202, 0, 15, 1, 203, 0, 202, 0, 13, 1, 15, 1, 186, 0, 242, 0, 188, 0, 186, 0, 239, 0, 242, 0, 170, 0, 212, 0, 171, 0, 170, 0, 210, 0, 212, 0, 203, 0, 17, 1, 204, 0, 203, 0, 15, 1, 17, 1, 188, 0, 244, 0, 190, 0, 188, 0, 242, 0, 244, 0, 171, 0, 214, 0, 172, 0, 171, 0, 212, 0, 214, 0, 204, 0, 19, 1, 205, 0, 204, 0, 17, 1, 19, 1, 190, 0, 247, 0, 192, 0, 190, 0, 244, 0, 247, 0, 172, 0, 217, 0, 173, 0, 172, 0, 214, 0, 217, 0, 205, 0, 206, 0, 168, 0, 205, 0, 19, 1, 206, 0, 191, 0, 249, 0, 193, 0, 191, 0, 246, 0, 249, 0, 173, 0, 219, 0, 174, 0, 173, 0, 217, 0, 219, 0, 193, 0, 252, 0, 194, 0, 193, 0, 249, 0, 252, 0, 174, 0, 221, 0, 175, 0, 174, 0, 219, 0, 221, 0, 194, 0, 254, 0, 195, 0, 194, 0, 252, 0, 254, 0, 175, 0, 223, 0, 176, 0, 175, 0, 221, 0, 223, 0, 195, 0, 0, 1, 196, 0, 195, 0, 254, 0, 0, 1, 176, 0, 225, 0, 177, 0, 176, 0, 223, 0, 225, 0, 196, 0, 2, 1, 197, 0, 196, 0, 0, 1, 2, 1, 177, 0, 228, 0, 178, 0, 177, 0, 225, 0, 228, 0, 197, 0, 4, 1, 198, 0, 197, 0, 2, 1, 4, 1, 178, 0, 230, 0, 179, 0, 178, 0, 228, 0, 230, 0, 198, 0, 7, 1, 199, 0, 198, 0, 4, 1, 7, 1, 179, 0, 232, 0, 180, 0, 179, 0, 230, 0, 232, 0, 199, 0, 9, 1, 200, 0, 199, 0, 7, 1, 9, 1, 180, 0, 234, 0, 181, 0, 180, 0, 232, 0, 234, 0, 200, 0, 11, 1, 201, 0, 200, 0, 9, 1, 11, 1, 182, 0, 237, 0, 184, 0, 182, 0, 235, 0, 237, 0, 168, 0, 208, 0, 169, 0, 168, 0, 206, 0, 208, 0, 201, 0, 13, 1, 202, 0, 201, 0, 11, 1, 13, 1, 184, 0, 239, 0, 186, 0, 184, 0, 237, 0, 239, 0, 21, 1, 26, 1, 24, 1, 21, 1, 23, 1, 26, 1, 24, 1, 30, 1, 28, 1, 24, 1, 26, 1, 30, 1, 28, 1, 36, 1, 33, 1, 28, 1, 30, 1, 36, 1, 32, 1, 40, 1, 38, 1, 32, 1, 35, 1, 40, 1, 38, 1, 44, 1, 42, 1, 38, 1, 40, 1, 44, 1, 42, 1, 48, 1, 46, 1, 42, 1, 44, 1, 48, 1, 46, 1, 52, 1, 50, 1, 46, 1, 48, 1, 52, 1, 50, 1, 56, 1, 54, 1, 50, 1, 52, 1, 56, 1, 54, 1, 61, 1, 58, 1, 54, 1, 56, 1, 61, 1, 58, 1, 65, 1, 63, 1, 58, 1, 61, 1, 65, 1, 63, 1, 69, 1, 67, 1, 63, 1, 65, 1, 69, 1, 67, 1, 74, 1, 71, 1, 67, 1, 69, 1, 74, 1, 72, 1, 79, 1, 77, 1, 72, 1, 75, 1, 79, 1, 77, 1, 83, 1, 81, 1, 77, 1, 79, 1, 83, 1, 81, 1, 87, 1, 85, 1, 81, 1, 83, 1, 87, 1, 85, 1, 92, 1, 90, 1, 85, 1, 87, 1, 92, 1, 90, 1, 98, 1, 95, 1, 90, 1, 92, 1, 98, 1, 94, 1, 102, 1, 100, 1, 94, 1, 97, 1, 102, 1, 100, 1, 106, 1, 104, 1, 100, 1, 102, 1, 106, 1, 104, 1, 111, 1, 109, 1, 104, 1, 106, 1, 111, 1, 109, 1, 115, 1, 113, 1, 109, 1, 111, 1, 115, 1, 113, 1, 119, 1, 117, 1, 113, 1, 115, 1, 119, 1, 117, 1, 123, 1, 121, 1, 117, 1, 119, 1, 123, 1, 121, 1, 127, 1, 125, 1, 121, 1, 123, 1, 127, 1, 125, 1, 131, 1, 129, 1, 125, 1, 127, 1, 131, 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+"blend_shape_data": [ ],
+"format": 2194711,
+"index_count": 1920,
+"primitive": 4,
+"skeleton_aabb": [ ],
+"vertex_count": 556
+}
+
+[sub_resource type="SpatialMaterial" id=50]
+emission_enabled = true
+emission = Color( 1, 0.960784, 0.788235, 1 )
+emission_energy = 5.0
+emission_operator = 0
+emission_on_uv2 = false
+
+[sub_resource type="SphereMesh" id=51]
+material = SubResource( 50 )
+radius = 0.1
+height = 0.2
+
+[sub_resource type="ArrayMesh" id=48]
surfaces/0 = {
"aabb": AABB( -7.33747, -5.96678, -46.9249, 14.6749, 0.458309, 98.5705 ),
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@@ -145,9 +328,6 @@ roughness = 0.06
normal_enabled = true
normal_scale = 0.2
normal_texture = SubResource( 18 )
-refraction_enabled = true
-refraction_scale = 0.01
-refraction_texture_channel = 0
[sub_resource type="ConcavePolygonShape" id=10]
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@@ -197,13 +377,13 @@ surfaces/0 = {
"blend_shape_data": [ ],
"format": 2194711,
"index_count": 36,
-"material": ExtResource( 17 ),
"primitive": 4,
"skeleton_aabb": [ ],
"vertex_count": 24
}
[sub_resource type="SpatialMaterial" id=20]
+render_priority = 1
albedo_texture = ExtResource( 8 )
metallic_texture = ExtResource( 7 )
roughness_texture = ExtResource( 9 )
@@ -216,10 +396,165 @@ extents = Vector3( 10.6563, 0.518438, 37.8106 )
[node name="ship" type="Spatial"]
+[node name="staircase_1" parent="." instance=ExtResource( 2 )]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 9.00781, 2.33022, 27.5303 )
+
+[node name="staircase_2" parent="." instance=ExtResource( 2 )]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, -9.05929, 2.33022, 27.5303 )
+
+[node name="staircase_3" parent="." instance=ExtResource( 2 )]
+transform = Transform( -1, 0, -2.07468e-07, 0, 1.194, 0, 1.50996e-07, 0, -1.374, -9.05929, 2.53208, -36.685 )
+
+[node name="staircase_4" parent="." instance=ExtResource( 2 )]
+transform = Transform( -1, 0, -2.07468e-07, 0, 1.194, 0, 1.50996e-07, 0, -1.374, 9.00781, 2.53208, -36.685 )
+
+[node name="ladder" parent="." instance=ExtResource( 12 )]
+transform = Transform( -4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -5.89976, 3.49331, 53.4457 )
+
+[node name="control_panel" type="Spatial" parent="."]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 16.1735, 33.8931 )
+
+[node name="steering_wheel" parent="control_panel" instance=ExtResource( 20 )]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, -0.0495434, 0.2843, 0.447197 )
+
+[node name="StaticBody" type="StaticBody" parent="control_panel"]
+
+[node name="main_control_panel" type="MeshInstance" parent="control_panel/StaticBody"]
+mesh = SubResource( 25 )
+skeleton = NodePath("../..")
+
+[node name="CollisionShape" type="CollisionShape" parent="control_panel/StaticBody"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.404216, 0 )
+shape = SubResource( 26 )
+
+[node name="CollisionShape2" type="CollisionShape" parent="control_panel/StaticBody"]
+transform = Transform( 1, 0, 0, 0, 0.979687, 0.200531, 0, -0.200531, 0.979687, 0, 0.31658, -0.965392 )
+shape = SubResource( 27 )
+
+[node name="screen_far_right" type="MeshInstance" parent="control_panel"]
+transform = Transform( 1, 0, 0, 0, 0.71997, -0.694005, 0, 0.694005, 0.71997, 2.95567, 0.529756, -0.860868 )
+mesh = SubResource( 28 )
+
+[node name="screen_right" type="MeshInstance" parent="control_panel"]
+transform = Transform( 1, 0, 0, 0, 0.71997, -0.694005, 0, 0.694005, 0.71997, 1.48629, 0.529756, -0.860868 )
+mesh = SubResource( 31 )
+
+[node name="screen_left" type="MeshInstance" parent="control_panel"]
+transform = Transform( 1, 0, 0, 0, 0.71997, -0.694005, 0, 0.694005, 0.71997, -1.48956, 0.529756, -0.860868 )
+mesh = SubResource( 32 )
+
+[node name="screen_far_left" type="MeshInstance" parent="control_panel"]
+transform = Transform( 1, 0, 0, 0, 0.71997, -0.694005, 0, 0.694005, 0.71997, -2.95674, 0.529756, -0.860868 )
+mesh = SubResource( 33 )
+
+[node name="main_control_panel" type="MeshInstance" parent="control_panel"]
+mesh = SubResource( 34 )
+
+[node name="nav_panel_r" type="MeshInstance" parent="control_panel"]
+transform = Transform( 1, 0, 0, 0, 0.71657, -0.697515, 0, 0.697515, 0.71657, 5.10496, 0.608661, -0.774142 )
+mesh = SubResource( 35 )
+
+[node name="nav_panel_L" type="MeshInstance" parent="control_panel"]
+transform = Transform( 1, 0, 0, 0, 0.71657, -0.697515, 0, 0.697515, 0.71657, -5.10096, 0.608661, -0.774142 )
+mesh = SubResource( 36 )
+
+[node name="lighting" type="Spatial" parent="."]
+
+[node name="bridge" type="Spatial" parent="lighting"]
+
+[node name="light_fixture" type="Spatial" parent="lighting/bridge"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 21.2651, 36.8656 )
+
+[node name="light_fixture" type="MeshInstance" parent="lighting/bridge/light_fixture"]
+mesh = SubResource( 22 )
+material/0 = ExtResource( 21 )
+
+[node name="OmniLight" type="OmniLight" parent="lighting/bridge/light_fixture"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.570798, 0 )
+light_color = Color( 1, 0.94902, 0.74902, 1 )
+light_energy = 2.89
+shadow_enabled = true
+omni_range = 9.41618
+
+[node name="light_bulb" type="MeshInstance" parent="lighting/bridge/light_fixture"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.526993, 0 )
+mesh = SubResource( 24 )
+
+[node name="light_fixture2" type="Spatial" parent="lighting/bridge"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 13.1705, 41.8751 )
+
+[node name="light_fixture" type="MeshInstance" parent="lighting/bridge/light_fixture2"]
+mesh = SubResource( 1 )
+material/0 = ExtResource( 21 )
+
+[node name="OmniLight" type="OmniLight" parent="lighting/bridge/light_fixture2"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.570798, 0 )
+light_color = Color( 1, 0.94902, 0.74902, 1 )
+light_energy = 2.89
+shadow_enabled = true
+omni_range = 15.5928
+
+[node name="light_bulb" type="MeshInstance" parent="lighting/bridge/light_fixture2"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.526993, 0 )
+mesh = SubResource( 47 )
+
+[node name="below_deck" type="Spatial" parent="lighting"]
+
+[node name="light_fixture" type="Spatial" parent="lighting/below_deck"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.0947016, -26.9936 )
+
+[node name="light_fixture" type="MeshInstance" parent="lighting/below_deck/light_fixture"]
+mesh = SubResource( 49 )
+material/0 = ExtResource( 21 )
+
+[node name="OmniLight" type="OmniLight" parent="lighting/below_deck/light_fixture"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.570798, 0 )
+light_color = Color( 1, 0.94902, 0.74902, 1 )
+shadow_enabled = true
+omni_range = 19.566
+
+[node name="light_bulb" type="MeshInstance" parent="lighting/below_deck/light_fixture"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.526993, 0 )
+mesh = SubResource( 51 )
+
+[node name="light_fixture2" type="Spatial" parent="lighting/below_deck"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.0947016, -5.36544 )
+
+[node name="light_fixture" type="MeshInstance" parent="lighting/below_deck/light_fixture2"]
+mesh = SubResource( 49 )
+material/0 = ExtResource( 21 )
+
+[node name="OmniLight" type="OmniLight" parent="lighting/below_deck/light_fixture2"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.570798, 0 )
+light_color = Color( 1, 0.94902, 0.74902, 1 )
+shadow_enabled = true
+omni_range = 19.566
+
+[node name="light_bulb" type="MeshInstance" parent="lighting/below_deck/light_fixture2"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.526993, 0 )
+mesh = SubResource( 51 )
+
+[node name="light_fixture3" type="Spatial" parent="lighting/below_deck"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0.0947016, 14.0052 )
+
+[node name="light_fixture" type="MeshInstance" parent="lighting/below_deck/light_fixture3"]
+mesh = SubResource( 49 )
+material/0 = ExtResource( 21 )
+
+[node name="OmniLight" type="OmniLight" parent="lighting/below_deck/light_fixture3"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.570798, 0 )
+light_color = Color( 1, 0.94902, 0.74902, 1 )
+shadow_enabled = true
+omni_range = 19.566
+
+[node name="light_bulb" type="MeshInstance" parent="lighting/below_deck/light_fixture3"]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, -0.526993, 0 )
+mesh = SubResource( 51 )
+
[node name="pivot" type="Spatial" parent="."]
[node name="below_deck" type="MeshInstance" parent="pivot"]
-mesh = SubResource( 1 )
+mesh = SubResource( 48 )
material/0 = ExtResource( 11 )
[node name="StaticBody" type="StaticBody" parent="pivot/below_deck"]
@@ -303,20 +638,48 @@ collision_mask = 0
transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, -7.72568 )
shape = SubResource( 21 )
-[node name="staircase_1" parent="." instance=ExtResource( 2 )]
-transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 9.00781, 2.33022, 27.5303 )
-
-[node name="staircase_2" parent="." instance=ExtResource( 2 )]
-transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, -9.05929, 2.33022, 27.5303 )
-
-[node name="staircase_3" parent="." instance=ExtResource( 2 )]
-transform = Transform( -1, 0, -2.07468e-07, 0, 1.194, 0, 1.50996e-07, 0, -1.374, -9.05929, 2.53208, -36.685 )
-
-[node name="staircase_4" parent="." instance=ExtResource( 2 )]
-transform = Transform( -1, 0, -2.07468e-07, 0, 1.194, 0, 1.50996e-07, 0, -1.374, 9.00781, 2.53208, -36.685 )
-
-[node name="ladder" parent="." instance=ExtResource( 12 )]
-transform = Transform( -4.37114e-08, 0, 1, 0, 1, 0, -1, 0, -4.37114e-08, -5.89976, 3.49331, 53.4457 )
-
-[node name="control_panel" parent="." instance=ExtResource( 19 )]
-transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 16.1735, 33.8473 )
+[node name="below_deck" type="Viewport" parent="."]
+size = Vector2( 320, 180 )
+hdr = false
+keep_3d_linear = true
+debug_draw = 1
+render_target_v_flip = true
+
+[node name="Camera" type="Camera" parent="below_deck"]
+transform = Transform( 0.897382, 0, 0.441255, 0, 1, 0, -0.441255, 0, 0.897382, 4.54343, -0.839509, 29.0326 )
+
+[node name="bridge_downstairs" type="Viewport" parent="."]
+size = Vector2( 320, 180 )
+hdr = false
+keep_3d_linear = true
+debug_draw = 1
+render_target_v_flip = true
+
+[node name="Camera" type="Camera" parent="bridge_downstairs"]
+transform = Transform( 1, 0, 0, 0, 0.948639, 0.316361, 0, -0.316361, 0.948639, 0, 12.6123, 53.053 )
+
+[node name="top_deck" type="Viewport" parent="."]
+size = Vector2( 320, 180 )
+hdr = false
+keep_3d_linear = true
+debug_draw = 1
+render_target_v_flip = true
+
+[node name="Camera" type="Camera" parent="top_deck"]
+transform = Transform( 1, 0, 0, 0, 0.986406, 0.164325, 0, -0.164325, 0.986406, 0, 7.06942, 32.644 )
+
+[node name="to_be_decided_camera_location" type="Viewport" parent="."]
+size = Vector2( 320, 180 )
+hdr = false
+keep_3d_linear = true
+debug_draw = 1
+render_target_v_flip = true
+
+[node name="Camera" type="Camera" parent="to_be_decided_camera_location"]
+transform = Transform( -1, 0, -8.74228e-08, 0, 1, 0, 8.74228e-08, 0, -1, 0, 7.94605, -41.0401 )
+
+[node name="mast" parent="." instance=ExtResource( 17 )]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 15.4283, -51.0714 )
+
+[node name="water_pump" parent="." instance=ExtResource( 22 )]
+transform = Transform( 1, 0, 0, 0, 1, 0, 0, 0, 1, -4.65267, -3.96773, 18.2793 )
diff --git a/ship/staircase_1/staircase.blend b/ship/staircase_1/staircase.blend
index aa68e0a..5229e83 100644
--- a/ship/staircase_1/staircase.blend
+++ b/ship/staircase_1/staircase.blend
Binary files differ
diff --git a/ship/staircase_1/staircase.tres b/ship/staircase_1/staircase.tres
new file mode 100644
index 0000000..be9383e
--- /dev/null
+++ b/ship/staircase_1/staircase.tres
@@ -0,0 +1,13 @@
+[gd_resource type="SpatialMaterial" load_steps=4 format=2]
+
+[ext_resource path="res://maps/main_stage/assets/staircase_1/staircase_roughness.png" type="Texture" id=1]
+[ext_resource path="res://maps/main_stage/assets/staircase_1/staircase_albedo.png" type="Texture" id=2]
+[ext_resource path="res://maps/main_stage/assets/staircase_1/staircase_normal.png" type="Texture" id=3]
+
+[resource]
+albedo_texture = ExtResource( 2 )
+metallic = 1.0
+roughness_texture = ExtResource( 1 )
+normal_enabled = true
+normal_scale = 1.0
+normal_texture = ExtResource( 3 )
diff --git a/ship/staircase_1/staircase_1.bin b/ship/staircase_1/staircase_1.bin
new file mode 100644
index 0000000..b6b08b7
--- /dev/null
+++ b/ship/staircase_1/staircase_1.bin
Binary files differ
diff --git a/ship/staircase_1/staircase_1.gltf b/ship/staircase_1/staircase_1.gltf
index d9e2b65..c2f4536 100644
--- a/ship/staircase_1/staircase_1.gltf
+++ b/ship/staircase_1/staircase_1.gltf
@@ -22,12 +22,17 @@
{
"doubleSided" : true,
"name" : "staircase",
+ "normalTexture" : {
+ "index" : 0
+ },
"pbrMetallicRoughness" : {
"baseColorTexture" : {
- "index" : 0
+ "index" : 1
},
"metallicFactor" : 0,
- "roughnessFactor" : 0.5
+ "metallicRoughnessTexture" : {
+ "index" : 2
+ }
}
}
],
@@ -51,20 +56,38 @@
{
"sampler" : 0,
"source" : 0
+ },
+ {
+ "sampler" : 0,
+ "source" : 1
+ },
+ {
+ "sampler" : 0,
+ "source" : 2
}
],
"images" : [
{
- "bufferView" : 4,
"mimeType" : "image/png",
- "name" : "uvgrid"
+ "name" : "staircase_normal",
+ "uri" : "staircase_normal.png"
+ },
+ {
+ "mimeType" : "image/png",
+ "name" : "staircase_albedo",
+ "uri" : "staircase_albedo.png"
+ },
+ {
+ "mimeType" : "image/png",
+ "name" : "staircase_roughness",
+ "uri" : "staircase_roughness.png"
}
],
"accessors" : [
{
"bufferView" : 0,
"componentType" : 5126,
- "count" : 106,
+ "count" : 346,
"max" : [
1.8045473098754883,
1.8722443580627441,
@@ -80,47 +103,42 @@
{
"bufferView" : 1,
"componentType" : 5126,
- "count" : 106,
+ "count" : 346,
"type" : "VEC3"
},
{
"bufferView" : 2,
"componentType" : 5126,
- "count" : 106,
+ "count" : 346,
"type" : "VEC2"
},
{
"bufferView" : 3,
"componentType" : 5123,
- "count" : 192,
+ "count" : 576,
"type" : "SCALAR"
}
],
"bufferViews" : [
{
"buffer" : 0,
- "byteLength" : 1272,
+ "byteLength" : 4152,
"byteOffset" : 0
},
{
"buffer" : 0,
- "byteLength" : 1272,
- "byteOffset" : 1272
- },
- {
- "buffer" : 0,
- "byteLength" : 848,
- "byteOffset" : 2544
+ "byteLength" : 4152,
+ "byteOffset" : 4152
},
{
"buffer" : 0,
- "byteLength" : 384,
- "byteOffset" : 3392
+ "byteLength" : 2768,
+ "byteOffset" : 8304
},
{
"buffer" : 0,
- "byteLength" : 112476,
- "byteOffset" : 3776
+ "byteLength" : 1152,
+ "byteOffset" : 11072
}
],
"samplers" : [
@@ -131,8 +149,8 @@
],
"buffers" : [
{
- "byteLength" : 116252,
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"
+ "byteLength" : 12224,
+ "uri" : "staircase_1.bin"
}
]
}
diff --git a/ship/staircase_1/staircase_1.tscn b/ship/staircase_1/staircase_1.tscn
index e27f0ff..386209d 100644
--- a/ship/staircase_1/staircase_1.tscn
+++ b/ship/staircase_1/staircase_1.tscn
@@ -1,35 +1,18 @@
-[gd_scene load_steps=5 format=2]
+[gd_scene load_steps=4 format=2]
[ext_resource path="res://ship/staircase_1/staircase_1.gltf" type="PackedScene" id=1]
-[ext_resource path="res://ship/staircase_1/staircase.material" type="Material" id=2]
+[ext_resource path="res://maps/main_stage/assets/staircase_1/staircase.tres" type="Material" id=2]
-[sub_resource type="ArrayMesh" id=1]
-resource_name = "staircase_1_Cube001"
-surfaces/0 = {
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diff --git a/ship/staircase_1/staircase_albedo.png b/ship/staircase_1/staircase_albedo.png
new file mode 100644
index 0000000..a9307b5
--- /dev/null
+++ b/ship/staircase_1/staircase_albedo.png
Binary files differ
diff --git a/ship/staircase_1/staircase_albedo.png.import b/ship/staircase_1/staircase_albedo.png.import
new file mode 100644
index 0000000..d950938
--- /dev/null
+++ b/ship/staircase_1/staircase_albedo.png.import
@@ -0,0 +1,37 @@
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diff --git a/ship/staircase_1/staircase_normal.png b/ship/staircase_1/staircase_normal.png
new file mode 100644
index 0000000..8528ad2
--- /dev/null
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Binary files differ
diff --git a/ship/staircase_1/staircase_normal.png.import b/ship/staircase_1/staircase_normal.png.import
new file mode 100644
index 0000000..ec0a2e9
--- /dev/null
+++ b/ship/staircase_1/staircase_normal.png.import
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diff --git a/ship/staircase_1/staircase_roughness.png b/ship/staircase_1/staircase_roughness.png
new file mode 100644
index 0000000..f80e5d9
--- /dev/null
+++ b/ship/staircase_1/staircase_roughness.png
Binary files differ
diff --git a/ship/staircase_1/staircase_roughness.png.import b/ship/staircase_1/staircase_roughness.png.import
new file mode 100644
index 0000000..2dc493e
--- /dev/null
+++ b/ship/staircase_1/staircase_roughness.png.import
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