null
nil
-
0
true
[RBX1]
0
0
0
1
0
0
0
1
0
0
0
1
Workspace
[RBX2]
true
-
[null]
0
0
0
0
1
0
0
0
1
0
0
0
1
0
0
-5
1
0
0
0
1
0
0
0
1
Camera
true
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
0
0.200000003
226
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
false
Script
function onTouched(hit)
children = hit.Parent:children()
for i=1,#children do
if(children[i].className == "Hat") then children[i]:remove() return end
end
end
script.Parent.Touched:connect(onTouched)
true
-
false
PresentScript
-- This script is a sin against god and man
--
-- I'm using the v. ugly hack of cloning HopperBins under the Lighting service into a Player's Backpack.
--
-- If you want the box to stay in the game once one person has touched it, you should do something to
-- keep from cloning the same tool into a player's backpack for multiple touches. Easiest thing is to
-- check the backpack to see if a hopperbin with the same name already exists.
-- Telamon.
function getPlayer(humanoid)
-- find the owning player of a humanoid. this is a hack.
local players = game.Players:children()
for i = 1, #players do
if players[i].Character.Humanoid == humanoid then return players[i] end
end
return nil
end
function onTouch(part)
if game.Players:findFirstChild(part.Parent.Name).TeamColor=BrickColor.new(24) then
if game.Players:findFirstChild(part.Parent.Name).Backpack.Tele~= nil then
local human = part.Parent:findFirstChild("Humanoid")
if (human == nil) then return end
local player = getPlayer(human)
if (player == nil) then return end
game.Lighting.Tele:clone().Parent = player.Backpack
wait(3)
end
end
end
script.Parent.Touched:connect(onTouch)
true
-
[null]
0
5.02824402
21.0464821
4808.04883
0.0374584794
-0.986997247
0.156312615
-2.98023224e-008
0.156422257
0.987690389
-0.999298334
-0.0369974971
0.00585919619
1.90199137
1.29266882
4807.93164
0.0374587066
-0.986997247
0.156312525
2.12599965e-010
0.156422317
0.98769033
-0.999298275
-0.0369976014
0.00585937686
Instance
true
-
true
true
-0.5
0.5
2
0
-0.5
0.5
2
0
194
20.5
1.39999998
-46
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
2
0
-0.5
0.5
2
0
false
SpawnLocation
true
0
-0.5
0.5
2
0
0
0
0
1
-0.5
0.5
0
0
0
-100
0
0
true
1
17
0.400000006
4
-
0
true
0
0
0
1
0
0
0
1
0
0
0
1
Ban Players
[null]
true
-
0
true
0
0
0
1
0
0
0
1
0
0
0
1
BannedPlayers
[null]
true
-
PCwienersucksdick
1
true
-
player name
1
true
-
player name
1
true
-
player name
1
true
-
player name
1
true
-
false
Delete Player
print("Ban Players Loaded")
function onPlayerEntered(newPlayer)
while true do
if newPlayer.Character ~= nil then break end
wait(0)
end
local force=script.Parent.BannedPlayers:children()
for i=1, #force do
if (force[i].Name:lower()==newPlayer.Name:lower()) then
if (newPlayer == nil) then return end
newPlayer.Parent = nil
if (newPlayer.Character == nil) then return end
newPlayer.Character.Parent = nil
end
end
end
game.Players.ChildAdded:connect(onPlayerEntered)
true
-
false
BanScriptv2.56
-- Anaminus
print("Command Center Loaded")
banner = game.Workspace:findFirstChild("Ban Players")
permission = { "PCwiener","?????","?????","?????","?????" }
function checkOkToLetIn(name)
for i = 1,#permission do
-- convert strings to all upper case, otherwise we will let in
-- "Telamon" but not "telamon" or "tELAMON"
if (string.upper(name) == string.upper(permission[i])) then return true end
end
return false
end
function ban(name, source)
local p=game.Workspace:findFirstChild(name)
if p==nil then return end
if (name == source) then return end
local player = game.Players:findFirstChild(name)
local m = Instance.new("Message")
m.Parent = game.Workspace
m.Text = "Banning Player: "..name.."..."
wait(2)
m.Parent = nil
p.Parent = nil
player.Parent = nil
if banner ~= nil then
local I = Instance.new("IntValue")
I.Name = name
I.Parent = banner.BannedPlayers
end
end
function onChatted(msg, recipient, speaker)
-- convert to all lower case
local source = string.lower(speaker.Name)
msg = string.lower(msg)
-- Below is only for me
if (checkOkToLetIn(source)) then
if string.match(msg, "ban") then
local players=game.Players:children()
for i=1, #players do
if string.match(msg, string.lower(players[i].Name)) then
ban(players[i].Name, source)
return
end
end
end
end
end
function onPlayerEntered(newPlayer)
newPlayer.Chatted:connect(function(msg, recipient) onChatted(msg, recipient, newPlayer) end)
end
game.Players.ChildAdded:connect(onPlayerEntered)
true
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
3
0.600000024
32
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
TrackA
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
74
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5
0.800000012
46.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.800000012
45
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-3
0.600000024
32
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
TrackB
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
74
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0
1
46.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
1.20000005
45
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
-5.5
0.800000012
46.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.800000012
45
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9
1.60000002
47
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
44
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5
3.60000014
49.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
39
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-9
1.60000002
47
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
44
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.5
3.60000014
49.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
39
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-19.5
8.60000038
24.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
25
16.3999996
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
26
0
1
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
1.20000005
29
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
26
5.5
0.799999952
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.800000012
29
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
26
-5.5
0.800000012
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.800000012
29
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-15
2.20000005
9.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
16
3.60000014
29
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-23.5
8.59999943
12
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
24
16.3999996
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-24
1.60000002
-2.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
5
2.4000001
2
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-26
1
-2.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
5
1.20000005
2
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
-24.5
2.60000014
-5.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
4.4000001
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
-26.5
1.80000007
-5.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.79999995
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
-26.5
1.80000007
0.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.79999995
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
-24.5
2.60000014
0.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
4.4000001
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
217
-23.5
13.3999996
-2.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
6.80000019
5
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-11.5
1
27.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.20000005
5
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
11.5
1
27
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.20000005
4
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-29.5
0.800000012
-9.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
21
0.800000012
5
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-15
0.800000012
-17.5
1
-2.31734854e-010
3.38602792e-011
-2.31734854e-010
1
1.6881432e-011
3.38602792e-011
1.6881432e-011
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
mmm
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
24
0.800000012
5
-
false
Script
function onTouched(hit)
children = hit.Parent:children()
for i=1,#children do
if(children[i].className == "Hat") then children[i]:remove() return end
end
end
script.Parent.Touched:connect(onTouched)
true
-
false
PresentScript
-- This script is a sin against god and man
--
-- I'm using the v. ugly hack of cloning HopperBins under the Lighting service into a Player's Backpack.
--
-- If you want the box to stay in the game once one person has touched it, you should do something to
-- keep from cloning the same tool into a player's backpack for multiple touches. Easiest thing is to
-- check the backpack to see if a hopperbin with the same name already exists.
-- Telamon.
function getPlayer(humanoid)
-- find the owning player of a humanoid. this is a hack.
local players = game.Players:children()
for i = 1, #players do
if players[i].Character.Humanoid == humanoid then return players[i] end
end
return nil
end
function onTouch(part)
if game.Players:findFirstChild(part.Parent.Name).TeamColor=BrickColor.new(24) then
if game.Players:findFirstChild(part.Parent.Name).Backpack.Tele~= nil then
local human = part.Parent:findFirstChild("Humanoid")
if (human == nil) then return end
local player = getPlayer(human)
if (player == nil) then return end
game.Lighting.Tele:clone().Parent = player.Backpack
wait(3)
end
end
end
script.Parent.Touched:connect(onTouch)
true
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
0
0.800000012
-22.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
15
0.800000012
6
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
0
0.599999905
-40.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
21
1.20000005
64
-
false
Script
function onTouched(hit)
children = hit.Parent:children()
for i=1,#children do
if(children[i].className == "Hat") then children[i]:remove() return end
end
end
script.Parent.Touched:connect(onTouched)
true
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
23.5
8.60000038
6.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
25
16.3999996
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
24
1.60000002
21.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
5
2.4000001
2
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
26
1
21.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
5
1.20000005
2
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
217
23.5
13.3999996
21.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
6.80000019
5
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
10.5
4.5
20.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
0
22.2000008
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
48
1.20000005
7
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
19.5
8.60000038
24.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
25
16.3999996
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
15
2.20000005
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
16
3.60000014
29
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
192
0
17.3999996
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
48
1.20000005
31
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
0
18.6000004
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
48
1.20000005
25
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
0
19.8000011
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
48
1.20000005
19
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
0
21
9.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
48
1.20000005
13
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-0.5
8.59999943
-5.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
47
16.3999996
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
5.5
20.5
-0
-1
-0
-1
-0
-0
-0
-0
-1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
6.5
20.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
7.5
20.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
10.5
8.5
20.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
start
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
0
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
10.5
4.5
17.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
21
10.5
8.5
17.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
stop
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
0
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
7.5
17.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
6.5
17.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
5.5
17.5
-0
-1
-0
-1
-0
-0
-0
-0
-1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
24
-5.5
3.79999995
9.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
anotherplatform
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
3
0.400000006
29
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
24
5.5
3.79999995
9.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
platform
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
3
0.400000006
29
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989438
94.0086975
307.890961
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49988604
94.1577682
308.003937
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.9995966
94.5384674
307.753784
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
510
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.4995861
96.4007645
307.024109
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
510
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000431206863
93.9819565
307.747009
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00043201
93.954155
307.601288
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.50043726
94.2091827
307.920715
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038528
94.9033127
308.684753
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004148
96.7654037
307.955231
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
0
true
0
0
0
1
0
0
0
1
0
0
0
1
Car
[RBX81]
true
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
3.50502777
5.97985506
8.00670147
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
3.50532341
6.77981949
15.0067053
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
4
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50547171
7.57985735
7.5067091
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
0.800000012
25
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50527263
6.77984476
10.0067053
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
6
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
3.50512934
5.97980452
18.0067005
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.5051446
5.97979689
19.5067005
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50481343
5.1798501
9.00669765
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
4
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50535893
6.77980185
18.5067043
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
3
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
26
0.00442056591
3.78083253
9.00672626
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
PART
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
8
0.400000006
28
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50490999
5.17980194
18.5066967
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
3
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
3.50497651
5.57982445
14.0066996
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
1.60000002
6
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-0.494946688
5.98096514
10.5067425
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
7
4
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-3.49515581
5.18179941
12.0067692
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-3.49510503
5.18177414
17.0067692
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-0.494895935
5.98093987
15.5067425
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
7
4
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.00489473483
5.18079185
17.0067329
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
false
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-1.99512577
4.98133564
20.506752
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
2.00487399
4.98021317
20.506712
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.0049302727
5.18077421
20.5067329
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.0048439661
5.18081713
12.0067329
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-1.99538577
4.18135357
17.0067482
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
2.00461388
4.18023062
17.0067081
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-1.99543655
4.18137884
12.0067482
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
2.00456309
4.18025589
12.0067081
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
199
3.00415444
2.3799274
21.5066891
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50516486
5.97978687
21.5067024
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
4
3
-
2
Mesh
1
1
1
1
1
1
true
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
26
-2.99623823
0.981611669
21.5067425
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
3
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
26
3.00376153
0.979927361
21.5066814
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
3
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
199
-2.99584532
2.38161159
21.5067501
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
2.00488925
4.98020554
22.006712
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2
2
-
2
Mesh
1
1
1
1
1
1
true
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-1.99511051
4.98132801
22.006752
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2
2
-
2
Mesh
1
1
1
1
1
1
true
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.00494550308
5.18076658
22.0067329
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
2
-
2
Mesh
1
1
1
1
1
1
true
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-3.4948349
5.98175144
21.506773
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
4
3
-
2
Mesh
1
1
1
1
1
1
true
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50504804
5.97984457
10.0067015
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
26
-2.99636006
0.981672227
9.50674343
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
3
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
199
-2.99596715
2.38167214
9.50675011
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
199
3.00403261
2.37998819
9.50668907
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
26
3.0036397
0.979988158
9.5066824
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
3
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-1.99553812
4.18142939
2.00674868
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.00474242913
5.18086767
2.00673342
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
false
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-0.494997472
5.98099041
5.50674248
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
7
4
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.00479319785
5.1808424
7.00673342
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
false
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
2.00451231
4.18028116
7.00670815
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-1.99548733
4.18140411
7.00674868
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-3.49525738
5.18184996
2.00676894
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-3.49520659
5.18182468
7.0067687
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
3.50522184
6.77987003
5.00670528
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
4
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
3.50487494
5.57987499
4.00669909
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
1.60000002
6
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50457358
4.37985754
7.50669384
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
25
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
2.00446153
4.18030643
2.00670791
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-0.495048225
5.98101568
0.506742418
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
7
4
1
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.5049262
5.97990561
-1.99329805
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
6
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50516081
6.77990007
-0.993294954
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
8
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
3.50470161
5.17990541
-1.99330211
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
1
0.800000012
6
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-1.9955889
4.18145466
-2.99325132
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
199
2.00441098
4.18033171
-2.99329209
-0.99999994
0.000280670822
-1.01537016e-005
0.000280670763
0.99999994
5.04980653e-006
1.01551186e-005
5.04695618e-006
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Seat
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
0.400000006
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
24
0.0046916604
5.18089294
-2.99326658
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
false
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-3.49530816
5.18187523
-2.99323106
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
2
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
199
3.00390053
2.38005376
-3.49331117
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
26
3.00350761
0.980053723
-3.49331832
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
3
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
199
-2.99609923
2.38173771
-3.49325037
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
2
0
0
0
0
0
true
1
2
2.4000001
1
-
false
-0.5
0.5
0
0
-0.5
0.5
4
0
26
-2.99649215
0.981737673
-3.49325752
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
2
0.400000006
3
-
false
-0.5
0.5
0
0
-0.5
0.5
2
0
21
-0.495099008
5.98104095
-4.49325752
0.99999994
0.000280670822
1.01537016e-005
-0.000280670763
0.99999994
-5.04980653e-006
-1.01551186e-005
5.04695618e-006
1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
7
4
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
192
23.5
6.4000001
21.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
anotherdoor
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
7.20000029
5
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
21
24.2000008
6.5
17.5
-0
1
0
-1
0
0
-0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
doorbclose
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
0.400000006
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
37
24.2000008
7.5
17.5
-0
1
0
-1
0
0
-0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
doorbopen
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
0.400000006
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
281.803192
785.684753
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004148
283.665283
784.955322
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.50044155
280.926697
784.455139
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
280.854034
784.601318
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
280.881836
784.747009
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
280.908569
784.890991
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987841
280.875275
784.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960518
281.073608
783.822632
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.499589
282.935913
783.093018
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
0
0.200000003
738
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
0
0.200000003
1250
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
468.701477
1262.68481
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004148
470.563538
1261.95532
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.50044155
467.825012
1261.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
467.752319
1261.60132
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
467.780151
1261.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
467.806885
1261.89099
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987841
467.77356
1261.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960518
467.971924
1260.82263
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.4995899
469.651825
1259.62744
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
655.597473
1739.68481
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004158
657.459473
1738.95532
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5004425
654.721008
1738.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
654.648315
1738.60132
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
654.676147
1738.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
654.702881
1738.89099
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987793
654.669556
1738.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960327
654.86792
1737.82263
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.499588
656.547852
1736.62744
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004158
844.359619
2215.95532
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
842.497681
2216.68481
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5004425
841.621216
2215.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
841.548462
2215.60132
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
841.576294
2215.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
841.603027
2215.89111
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987793
841.569702
2215.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960327
841.768066
2214.82275
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.499588
843.447998
2213.62744
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
0
0.200000003
1762
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
-1
0.200000003
2274
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
-1
0.200000003
2786
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
-1
0.200000003
3298
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004158
1031.25903
2692.95532
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
1029.39722
2693.68481
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5004425
1028.52075
2692.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
1028.448
2692.60132
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
1028.47583
2692.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
1028.50256
2692.89111
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987793
1028.46924
2692.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960327
1028.6676
2691.82275
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.499588
1030.34753
2690.62744
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004158
1218.15979
3169.95532
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
1216.29797
3170.68481
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5004425
1215.42151
3169.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
1215.34875
3169.60132
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
1215.37659
3169.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
1215.40332
3169.89111
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987793
1215.37
3169.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960327
1215.56836
3168.82275
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.499588
1217.24829
3167.62744
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
1402.30115
3646.89111
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987793
1402.26782
3646.53833
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960327
1402.46619
3645.82275
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.499588
1404.14612
3644.62744
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
1402.24658
3646.60132
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
1402.27441
3646.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004158
1405.05762
3646.95532
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038147
1403.1958
3647.68481
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5004425
1402.31934
3646.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.99960327
1589.36523
4122.82275
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.4995871
1591.22754
4122.09277
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
-2.99989319
1589.2002
4123.89111
-1
-1.33705498e-005
4.83789677e-007
9.98291489e-006
-0.931103051
0.364735454
-2.71712793e-006
0.364735454
0.931103051
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
-5.49987793
1589.16687
4123.53809
1
1.33705516e-005
4.83789847e-007
-9.98291489e-006
0.93110317
0.364735484
2.71712793e-006
-0.364735484
0.93110317
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
199
3.00042725
1589.14563
4123.60156
-1
-7.20187018e-006
1.73861076e-006
7.33985917e-006
-0.931110919
0.364738554
-1.00796012e-006
0.364738554
0.931110919
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
100
true
1
2
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0.000427246094
1589.17346
4123.74707
1
7.20186154e-006
1.73860747e-006
-7.3398619e-006
0.931110144
0.364738256
1.00795921e-006
-0.364738256
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5004425
1589.21838
4123.45508
1
7.20182197e-006
1.73857802e-006
-7.3398146e-006
0.931110144
0.364738226
1.00797206e-006
-0.364738226
0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5004148
1591.77429
4123.48975
-1
7.20188564e-006
-1.73860042e-006
7.33988236e-006
0.931110144
-0.364738226
-1.00797445e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9.00038052
1589.91248
4124.21924
-1
7.20185972e-006
-1.73860735e-006
7.33986099e-006
0.931110144
-0.364738226
-1.00795864e-006
-0.364738226
-0.931110144
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
511
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-9
1682.5
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-10.5
1684.5
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
-5.5
1682.70007
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
-3
1682.5
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
2
true
1
2
0.400000006
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
0
1682.5
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
0.400000006
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
3
1682.5
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
1
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
2
true
1
2
0.400000006
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
5.5
1682.30005
4416
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
0.400000006
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
9
1682.5
4416
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
4
2.4000001
106
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
10.5
1684.5
4416
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
1.60000002
106
-
true
-0.5
0.5
0
0
-0.5
0.5
2
0
194
0
1426.40002
4469.2002
1
0
-0
0
0
-1
0
1
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
14
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.5
1684.90002
4444.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
21
-8.5
1687.30005
4444.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
2.4000001
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
21
-8.5
1687.30005
4462.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
3
2.4000001
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-8.5
1684.90002
4462.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
2.4000001
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-7.5
1686.49951
4467.5
-1
0
0
0
1
0
0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
5.5999999
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
7.5
1686.5
4467.5
-1
0
-0
-0
1
-0
-0
0
-1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
5.5999999
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
24
0
1688.49951
4467.5
-1
0
0
0
1
0
0
0
-1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
14
1.60000002
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
21
0
1685.70007
4467.5
-1
0
-0
-0
1
-0
-0
0
-1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
14
1.60000002
1
-
true
-0.5
0.5
0
0
-0.5
0.5
2
0
194
0
914.400024
4469.2002
1
0
-0
0
0
-1
0
1
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
14
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
2
0
194
0
402.399994
4469.2002
1
0
-0
0
0
-1
0
1
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
14
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
-1
0.200000003
3810
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
-1
0.200000003
4267.5
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
64
0.400000006
403
-
true
-0.5
0.5
0
0
-0.5
0.5
2
0
194
0
73.4000015
4469.2002
1
0
-0
0
0
-1
0
1
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
14
0.400000006
146
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
23
10.5
8.5
14.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
reset
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
0
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
7.5
14.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
6.5
14.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
5.5
14.5
-0
-1
-0
-1
-0
-0
-0
-0
-1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
10.5
4.5
14.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
10.5
4.5
11.5
-0
0
1
-0
1
0
-1
0
0
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
24
10.5
8.5
11.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
msg
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
0
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
7.5
11.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
6.5
11.5
0
-1
0
1
-0
0
0
-0
1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
194
10.5
5.5
11.5
-0
-1
-0
-1
-0
-0
-0
-0
-1
true
true
0
true
true
false
0.5
0
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
2
1
1
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-17
3
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
3.60000014
28
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
17
3
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
3.60000014
28
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
1
-17.5
6.5999999
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0.699999988
0
0
0
true
1
1
3.60000014
27
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
1
17.5
6.5999999
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0.699999988
0
0
0
true
1
1
3.60000014
27
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
0
10.1999998
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
3.60000014
62
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-3.5
6.5999999
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
3.60000014
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
3.5
6.5999999
-30.5
0
0
-1
0
1
-0
1
0
-0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
3.60000014
1
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
31.5
6.59999895
-40.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
10.8000002
21
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
-31.5
6.5999999
-40.5
1
0
0
0
1
0
0
0
1
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
10.8000002
21
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
217
0
6.5999999
-50.5
0
0
1
0
1
0
-1
0
0
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
1
10.8000002
62
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
192
0
12.6000004
-40.5
1
0
0
0
1
0
0
0
1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
64
1.20000005
21
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
0
13.8000002
-40.5
1
0
0
0
1
0
0
0
1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
64
1.20000005
15
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
-9.53674316e-007
15.000001
-40.5
1
0
0
0
1
0
0
0
1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
64
1.20000005
9
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
192
0
16.2000008
-40.5
1
0
0
0
1
0
0
0
1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
0
0
0
0
true
1
64
1.20000005
3
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
194
13
1.80000007
-46
1
0
0
0
1
0
0
0
1
false
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Piece
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
1
0
0
0
true
1
2
0.400000006
6
-
false
PresentScript
-- This script is a sin against god and man
--
-- I'm using the v. ugly hack of cloning HopperBins under the Lighting service into a Player's Backpack.
--
-- If you want the box to stay in the game once one person has touched it, you should do something to
-- keep from cloning the same tool into a player's backpack for multiple touches. Easiest thing is to
-- check the backpack to see if a hopperbin with the same name already exists.
-- Telamon.
function getPlayer(humanoid)
-- find the owning player of a humanoid. this is a hack.
local players = game.Players:children()
for i = 1, #players do
if players[i].Character.Humanoid == humanoid then return players[i] end
end
return nil
end
function onTouch(part)
if part.Parent.Name=="PCwiener" then
local human = part.Parent:findFirstChild("Humanoid")
if (human == nil) then return end
local player = getPlayer(human)
if (player == nil) then return end
game.Lighting.Kick:clone().Parent = player.Backpack
game.Lighting.Kill:clone().Parent = player.Backpack
game.Lighting.Control:clone().Parent = player.Backpack
game.Lighting.KickAll:clone().Parent = player.Backpack
wait(3)
end
end
script.Parent.Touched:connect(onTouch)
true
-
false
Operater
model= game.Workspace.Car
backup= model:clone()
while true do
wait(15)
msg=Instance.new("Message")
msg.Parent= game.Workspace
msg.Text= "15 Seconds Untill The Killer Goes!"
wait(2)
msg:remove()
wait(8)
msg=Instance.new("Message")
msg.Parent= game.Workspace
msg.Text= "5 Seconds Untill The Killer Goes!"
wait(2)
msg:remove()
wait(3)
game.Workspace.TrackA.Velocity= Vector3.new(0,0,8)
game.Workspace.TrackB.Velocity= Vector3.new(0,0,8)
wait(85)
model:remove()
model= backup:clone()
model.Parent= game.Workspace
model:makeJoints()
game.Workspace.TrackA.Velocity= Vector3.new(0,0,0)
game.Workspace.TrackB.Velocity= Vector3.new(0,0,0)
msg=Instance.new("Message")
msg.Parent= game.Workspace
msg.Text= "THE KILLER HAS REGENERATED!!! HURRY GET IN BEFORE IT LEAVES!"
wait(2)
msg:remove()
wait(15)
end
true
-
true
-0.5
0.5
0
0
-0.5
0.5
0
0
37
-1
0.280399442
4725.5
1
0
0
0
1
0
0
0
1
true
false
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Base
0
-0.5
0.5
0
0
0
0
0
-0.5
0.5
3
0
0
0
0
0
true
1
512
0.400000006
512
-
true
-0.5
0.5
0
0
-0.5
0.5
4
0
199
1.99999952
0.880399466
4807
-2.32778848e-011
1.34366185e-010
-1
-1.88377113e-012
1
-1.34366185e-010
1
-1.88377113e-012
2.32778848e-011
true
true
0
true
true
false
0.5
2
0.300000012
-0.5
0.5
0
0
-0.5
0.5
0
0
false
Head
0.150000006
-0.5
0.5
0
0
0
0
0
-0.5
0.5
0
0
1
0
0
0
true
1
39
0.800000012
28
-
1
Rollerahh
20
0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true
-
Run Service
true
RBX284
RBX285
-
12
Players
true
-
StarterPack
true
-
0
Tele
true
-
false
TeleportScript
--- SonOfSevenless
print("Teleport Spell Loaded")
local COOLDOWN = 0
local MP = 0
bin = script.Parent
function TryToCast(player)
-- returns true if player may cast this spell
-- make sure this player has the wizard board stats
local stats = player:findFirstChild("leaderstats")
if stats == nil then return false end
local mana = stats:findFirstChild("Mana")
local level = stats:findFirstChild("Level")
if mana == nil or level == nil then return false end
if (mana.Value >= MP) then
mana.Value = mana.Value - MP
return true
end
return false
end
function teleportPlayer(pos)
local player = game.Players.LocalPlayer
if player == nil or player.Character == nil then return end
local char = player.Character.Torso
sound = Instance.new("Sound")
sound.SoundId = ""
sound.Parent = char
sound.PlayOnRemove = true
sound:remove()
char.CFrame = CFrame.new(Vector3.new(pos.x, pos.y + 7, pos.z))
sound = Instance.new("Sound")
sound.SoundId = ""
sound.Parent = char
sound.PlayOnRemove = true
sound:remove()
end
enabled = true
function onButton1Down(mouse)
if not enabled then
return
end
local player = game.Players.LocalPlayer
if player == nil then return end
--if TryToCast(player) == false then return end
enabled = false
mouse.Icon = "rbxasset://textures\\ArrowFarCursor.png"
-- find the best cf
local cf = mouse.Hit
local v = cf.lookVector
teleportPlayer(cf.p)
wait(COOLDOWN)
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
enabled = true
end
function onSelected(mouse)
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
mouse.Button1Down:connect(function() onButton1Down(mouse) end)
end
bin.Selected:connect(onSelected)
true
-
10
1
SoundService
1
true
RBX291
RBX292
RBX293
RBX294
RBX295
RBX296
RBX297
RBX298
RBX299
RBX300
RBX301
RBX302
RBX303
RBX304
-
Selection
true
-
4286242168
4278190080
41.7332993
Lighting
4284900864
06:05:00
4294967295
true
-
0
Kick
true
-
false
Reset
--PC
bin = script.Parent
function onButton1Down(mouse)
local trg= mouse.Target.Parent
if trg.Humanoid~= nil then
plr= game.Players:findFirstChild(trg.Name)
plr.Parent= nil
end
end
function onSelected(mouse)
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
mouse.Button1Down:connect(function() onButton1Down(mouse) end)
end
bin.Selected:connect(onSelected)
true
-
0
Kill
true
-
false
Reset
--PC
bin = script.Parent
function onButton1Down(mouse)
local trg= mouse.Target.Parent
if trg.Humanoid~= nil then
trg.Humanoid.Health= 0
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
end
end
function onSelected(mouse)
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
mouse.Button1Down:connect(function() onButton1Down(mouse) end)
end
bin.Selected:connect(onSelected)
true
-
0
Control
true
-
false
Reset
--PC
bin = script.Parent
model= game.Workspace.Car
backup= model:clone()
function onButton1Down(mouse)
if mouse.Target.Name== "doorcopen" then
game.Workspace.doorc.Transparency= 1
game.Workspace.doorc.CanCollide= false
end
if mouse.Target.Name== "doorcclose" then
game.Workspace.doorc.Transparency= 0
game.Workspace.doorc.CanCollide= true
end
if mouse.Target.Name== "dooropen" then
game.Workspace.door.Transparency= 1
game.Workspace.door.CanCollide= false
end
if mouse.Target.Name== "doorclose" then
game.Workspace.door.Transparency= 0
game.Workspace.door.CanCollide= true
end
if mouse.Target.Name== "doorbopen" then
game.Workspace.anotherdoor.Transparency= 1
game.Workspace.anotherdoor.CanCollide= false
end
if mouse.Target.Name== "doorbclose" then
game.Workspace.anotherdoor.Transparency= 0
game.Workspace.anotherdoor.CanCollide= true
end
if mouse.Target.Name== "start" then
game.Workspace.TrackA.Velocity= Vector3.new(0,0,8)
game.Workspace.TrackB.Velocity= Vector3.new(0,0,8)
end
if mouse.Target.Name== "stop" then
game.Workspace.Car.PART.Anchored= true
end
if mouse.Target.Name== "reset" then
model:remove()
model= backup:clone()
model.Parent= game.Workspace
model:makeJoints()
game.Workspace.TrackA.Velocity= Vector3.new(0,0,0)
game.Workspace.TrackB.Velocity= Vector3.new(0,0,0)
end
if mouse.Target.Name== "msg" then
msg=Instance.new("Message")
msg.Parent= game.Workspace
msg.Text= "Currently, Only People With Tickets Can Ride"
wait(3)
msg.Text= "Get The Ticket From: Catalog- Shirts- Best Selling"
wait(2)
msg:remove()
end
end
function onSelected(mouse)
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
mouse.Button1Down:connect(function() onButton1Down(mouse) end)
end
bin.Selected:connect(onSelected)
true
-
0
KickAll
true
-
false
Reset
--PC
bin = script.Parent
function onButton1Down(mouse)
msg= Instance.new("Message")
msg.Parent= game.Workspace
msg.Text= "KICKING ALL PEOPLE!!"
wait(1)
c= game.Players:children()
for i=1, #c do
if c[i].Name~= "PCwiener" then
c[i].Parent= nil
msg:remove()
end
end
end
function onSelected(mouse)
mouse.Icon = "rbxasset://textures\\ArrowCursor.png"
mouse.Button1Down:connect(function() onButton1Down(mouse) end)
end
bin.Selected:connect(onSelected)
true
-
Instance
true
RBX316
-
Teams
true
-
Instance
true
RBX319