Besiege ACS script

-- Created 02/15/2021 18:30:46

local machine_info = machine.get_machine_info()
local reloader = machine_info.infinite_ammo()
local cannon_block = machine_info.get_block_info('main_gun')
local scope = machine.new_key_emulator('keypad4') -- Scope camera key
local orbit = machine.new_key_emulator('keypad6') -- Orbit camera key
local forward = machine.new_key_emulator('uparrow') -- Drive forward emulation
local backward = machine.new_key_emulator('downarrow') -- Drive backward emulation
local right = machine.new_key_emulator('rightarrow') -- Turn Right emulation
local left = machine.new_key_emulator('leftarrow') -- Turn Left emulation
local gun_fire = machine.new_key_emulator('keypad0') -- Orbit camera key
local camera_tilt = machine.new_key_emulator('e') -- Toggle key for orbit camera's tilt function

local turret_ring = machine.get_refs_control('turret_ring') -- Tag that goes on all hinges that deal with horizontal turret traverse
local camera = machine.get_refs_control('camera') -- Tag for the orbit camera IE (3rd Person camera)
local gun_mount = machine.get_refs_control('gun_mount') -- Tag that goes on all hinges that deal with vetical gun traverse
local gun_mount2 = machine.get_refs_control('gun_mount2') -- Same as the tag above only used for inverted input values
local drive_wheel = machine.get_refs_control('drive_wheel')

-- VVV This giant ass wall of text salad is for custom GUI images encoded in Base64
local reticle_texture = texture.from_base64('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')
local reticle_texture2 = 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')
local point_texture = texture.from_base64('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')
local dep_elv_bar_full = texture.from_base64('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')
local dep_elv_bar_fade = texture.from_base64('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')
local camera_angle_ui = texture.from_base64('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')
local camera_angle_ui_arrow = texture.from_base64('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')
local gun_info_bar = texture.from_base64('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')
local gun_info_shell = texture.from_base64('iVBORw0KGgoAAAANSUhEUgAAACEAAAAXCAYAAACFxybfAAABS2lUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRjemtjOWQiPz4KPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iQWRvYmUgWE1QIENvcmUgNS42LWMxNDIgNzkuMTYwOTI0LCAyMDE3LzA3LzEzLTAxOjA2OjM5ICAgICAgICAiPgogPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIi8+CiA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgo8P3hwYWNrZXQgZW5kPSJyIj8+nhxg7wAAAkpJREFUSInN1r1qVUEQwPHf/YhR4hekELFQIqKVpZVKHsQXsBIEURArERRB9B18BuuolT6BFgYbEQsLCxOSm5NrcXbumZycGxO9RRaW2Y/Zmf/O7s45vfF47B/K4ID61V6TvX1AZIe9lmyPQ9vguGN8B9Q0iLbjqDra0yDGHe08NgEZ7uG8n2TvLzWXcLKdnOZ21EGAZIgACMP9JPutfhdAr2Pn21Nq6AxQBUQGyM4GHTJq6MS6rihUpY6K3ErzE+gciby7cDosdS61o+bo5JKjUGEDm6UqIOO/QYTxORzBfGnPl34ARWRyJNoQowKxVnTiOEKnh0EYCiMBMCxOj+I4TuE0LuE8XuIG3uI6VlryHW7iA+5jIW0m/E3A40zbkYgoLOAklnEVr3EF14pRRTdHNfoxv4xjpd8G6LUhYjCiM18WP8JznNEcx3t8wwN8KbsNuYqH+F5sni3rhi2ISSSCvk0XIC/UYY3xV/iMT+qz/aU+29Wis1r0vhb5E4uaiz7ZfS4x0c5ucbPv4o3mMt3BZdzGCSyp701bXlDfpcVis7IzP3RCSAr5aa3jMe7hh/qZjdSX8hye4iKeJbmEJ+pjoD6WTfXTrOxO3zueaPtpDfC7zK2UHd4qOh8LpKJLk4iiv5HWrpd+hphEJT5gcWaRqAZmnyfWCsymJpNuY9yOBE1KHWlS71xZ/L8Zc8vuhFV1QYTjDFWZ3bcjA6C5E1UxHDvIRvtlrF+MzOIrOvViZpD8jDLYLP8nwufh+LM61P+YBwHbT9nzb/sPB0MAxqUyfoQAAAAASUVORK5CYII=')
local siege_mode_bracket= texture.from_base64('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')
local siege_mode_on= texture.from_base64('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')
local siege_mode_off= texture.from_base64('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')
local direction_ring = 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')
local direction_gun = texture.from_base64('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')
local direction_hull = texture.from_base64('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')
local direction_traverse_cap = texture.from_base64('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')
local direction_camera_line = texture.from_base64('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')
--^^^ you can infact make your own gui assets for this, you just need to find a base64 encoder to convert images into base64 code

local aim_spot_lerped = vector.new()
local aim_point = vector.new()
local aim_spot = vector.new()
local aim_spot_alt = vector.new()
local camera_aim = vector.new()
local pivotPoint = vector.new()
local angle = 0
camera_aim.y = camera_aim.y + 300

local scope_check = 0
local camera_angle = 0
local angle_check = 0
local reticle_version = 1
local lock_horizontal_traverse = false -- Restricts horizontal traverse if true
local out_of_bounds = false
local out_of_bounds_check = 0
local left_traverse_range = 1000
local right_traverse_range = 1000
local hide_reticle = false
local out_of_bounds_R_lock = 0

local turret_traverse_setting = 6  -- The number at the end of this line is related to turret traverse speed. I dont know the conversion but 7 = 0.35 on a hinge
local siege_turret_traverse_setting = turret_traverse_setting

local reload_type = 1 -- Set this number to choose the type of reload system when infinite ammo is on, 1 = Single Shot, 2 = Autoloader
local shell_loaded = true
local reload_time = 0
local reload_setting = 4.5  -- reload speed in seconds, is also used for the full reload of a magazine
local reload_setting2 = reload_setting

local mag_size = 3 -- number of shots in the magazine before reloading. If you are not using the autoloader reload type, set this to 1
local inter_clip_reload = 1 -- sets reload speed between shells in the magazine
local mag_ready = true
local current_mag_size = mag_size

local can_use_siege_mode = false -- If true then the vehicle can press X to enable siege mode
local siege_mode_toggle = false
local siege_delay = 3 -- Delay for switching into and out of siege mode
local switching_mode = 0
local siege_mode_active = false
local normal_drive_speed = 2 -- This should be set to the vehicle's normal wheel speed. (Specifically the wheels that drive it forward)
local speed = 0
local current_drive_speed = normal_drive_speed
local siege_drive_speed = 0.75 -- The vehicle's speed in siege mode

local function play()

end

local function update()

end

local function late_update() -- things under this are updated after every frame
    if not input.get_key('leftcontrol') then     -- locks cursor to the middle of the screen unless left ctrl is held down
        cursor.set_state(false)
    else
        cursor.set_state(true)
    end
    -- VVV
    if switching_mode == 0 then
        if input.get_key('w') then forward.start()
        elseif input.get_key('s') then  backward.start()
        else forward.stop() backward.stop() end

        if input.get_key('d') and not input.get_key('s') then right.start() else right.stop() end
        if input.get_key('a') and not input.get_key('s') then left.start()  else left.stop() end
        if input.get_key('a') and input.get_key('s') then right.start() end
        if input.get_key('d') and input.get_key('s') then left.start() end
    else
        right.stop()
        left.stop()
        forward.stop()
        backward.stop()
    end
    -- ^^^ WASD Drive control with normal reverse contol

    --VVV
        if input.get_key_down('e') and angle_check == 0 then
            camera_angle = camera_angle + 15
            angle_check = 1
        elseif input.get_key_down('e') and angle_check == 1 then
            camera_angle = camera_angle - 30
            angle_check = 2
        elseif input.get_key_down('e') and angle_check == 2 then
            camera_angle = 0
            angle_check = 0
        end
    --^^^ sets the angle of orbit camera when e is pressed

        if input.get_key_down('v') and hide_reticle == false then -- toggle hud
            hide_reticle = true
        elseif input.get_key_down('v') and hide_reticle == true then
            hide_reticle = false
        end

    -- VVV
        if input.get_key_down('leftshift') then
            if scope_check == 0 then
                orbit.click()
                reticle_version = 1
                scope_check = 1
            elseif scope_check == 1 then
                scope.click()
                reticle_version = 2
                scope_check = 2
            elseif scope_check == 2 then
                scope.click()
                reticle_version = 2
                scope_check = 0
            else
                orbit.stop()
                scope.stop()
            end
        end
    --^^^ Single key swap between the scopes and orbit cam without ever leaving a camera

    if siege_mode_active == true then
        current_drive_speed = siege_drive_speed
        lock_horizontal_traverse = true
    else
        current_drive_speed = normal_drive_speed
        lock_horizontal_traverse = false
    end

    --VVV
    if speed == 1 then
        current_drive_speed = current_drive_speed * 0.20
        forward.start()
    elseif speed == 2 then
        current_drive_speed = current_drive_speed * 0.60
        forward.start()
    elseif speed == 3 then
        current_drive_speed = current_drive_speed * 1
        forward.start()
    elseif speed == -1 then
        current_drive_speed = current_drive_speed * 0.5
        backward.start()
    elseif speed == -2 then
        current_drive_speed = current_drive_speed * 1
        backward.start()
    end

    if input.get_key_down('r') then
        speed = speed + 1
    elseif input.get_key_down('f') then
        speed = speed - 1
    elseif speed > 3 or speed < -2 or input.get_key_down('w') or input.get_key_down('s') then
        speed = 0
        forward.stop()
        backward.stop()
    end
    --^^^ Cruise control stuff

    --VVV
        drive_wheel.set_slider("speed", current_drive_speed)
    --^^^ Sets wheel speed
end

local function fixed_update(dt) -- things under this are updated 100 times per second
local mouse_x = input.get_axis("Mouse X")
local mouse_y = input.get_axis("Mouse Y")


if not input.get_key('leftcontrol') then
    if not input.get_mouse_button(1) then -- This get_mouse_button specifically locks turret and orbit cam traverse when RMB is held down allowing freelook
        aim_spot.x = aim_spot.x + mouse_x * 10
        aim_spot.y = aim_spot.y + -mouse_y * 10

        if aim_spot.x < -7200 then -- Prevents turret traverse values from going over 7200, IE if the turret gets spun 360 instead of being a value over 7200, its reset to 0
            aim_spot.x = 0
            aim_spot_lerped.x = aim_spot_lerped.x + 7200
        elseif aim_spot.x > 7200 then
            aim_spot.x = 0
            aim_spot_lerped.x = aim_spot_lerped.x - 7200
        end

--VVV
        if aim_spot.y < -900 then   -- Aiming up
                aim_spot.y = aim_spot.y + mouse_y * 10
        elseif aim_spot.y > 200 then -- Aiming down
                aim_spot.y = aim_spot.y + mouse_y * 10
        end
--^^^ Sets gun elevation & depression, to change only change (if aim_spot.y < -300 <--- This number)

--VVV
        if aim_spot_lerped.x >= -left_traverse_range and lock_horizontal_traverse == true and out_of_bounds_check == 1 then -- Left / Right Traverse
                out_of_bounds = true
        elseif aim_spot_lerped.x <= right_traverse_range and lock_horizontal_traverse == true and out_of_bounds_check == 1 then
                out_of_bounds = true
        end

        if aim_spot.x < -left_traverse_range and lock_horizontal_traverse == true and out_of_bounds == true then    -- Left / Right Traverse
                aim_spot.x = aim_spot.x + 10
                if aim_spot_lerped.x < -3600 then
                    aim_spot.x = aim_spot.x + 7200
                    aim_spot_lerped.x = aim_spot_lerped.x + 7200
                end
        elseif aim_spot.x > right_traverse_range and lock_horizontal_traverse == true and out_of_bounds == true then
                aim_spot.x = aim_spot.x - 10
                if aim_spot_lerped.x > 3600 then
                    aim_spot.x = aim_spot.x - 7200
                    aim_spot_lerped.x = aim_spot_lerped.x - 7200
                end
        end
--^^^ If the traverse of the turret is ever locked during sim and the gun is outside the traverse, this will force it to rotate back into it.

--VVV
    if lock_horizontal_traverse == true then
        if aim_spot.x <= -left_traverse_range then -- Left / Right Traverse
                aim_spot.x = aim_spot.x - mouse_x * 10
        elseif aim_spot.x >= right_traverse_range then
                aim_spot.x = aim_spot.x - mouse_x * 10
        end
    end
--^^^ Sets limits on horizontal traverse, to change only change (if aim_spot.x < -575 <--- This number)

--VVV
        camera_aim.y = camera_aim.y + -mouse_y * 9
        if camera_aim.y < -100 then -- camera elevation
            camera_aim.y = camera_aim.y + mouse_y * 10
      elseif camera_aim.y > 500 then
            camera_aim.y = camera_aim.y + mouse_y * 10
        end
--^^^ Sets orbit camera's max hight angles

        if switching_mode == 0 then
            aim_spot_lerped = vector.move_towards(aim_spot_lerped, aim_spot, turret_traverse_setting)

            gun_mount.set_steering(aim_spot_lerped.y / 20)
            gun_mount2.set_steering(aim_spot_lerped.y / -20)
            turret_ring.set_steering(aim_spot_lerped.x / 20)

--VVV
            if aim_spot_lerped.x >= aim_spot.x + 3600 then
                aim_spot_lerped.x = aim_spot_lerped.x + (turret_traverse_setting * 2)
            elseif aim_spot_lerped.x <= aim_spot.x - 3600 then
                aim_spot_lerped.x = aim_spot_lerped.x - (turret_traverse_setting * 2)
            end
            if aim_spot_lerped.x >= aim_spot.x + 7200 then
                aim_spot.x = aim_spot_lerped.x
            elseif aim_spot_lerped.x <= aim_spot.x - 7200 then
                aim_spot.x = aim_spot_lerped.x
            end
--^^^ Tracks turret rotation and orbit camera, will turn the turret in the direction that is fastest to line up with where orbit cam is looking
        end
    end
end

--VVV
    local raycast = physics.raycast(vector.add(cannon_block.position(), vector.negative(cannon_block.up())), vector.negative(cannon_block.up()))
    local point = vector.new()
    if raycast == nil then
        point = vector.add(cannon_block.position(), vector.multiply(vector.negative(cannon_block.up()), 1000))
    else
        point = raycast.point
    end
--^^^ casts a raycast off of the cannon used for finding where to place the reticle, It is straight, not based on cannonball velocity*

    aim_point = vector.lerp(aim_point, point, 0.1) -- Last number here sets how fast the reticle reacts to moving the gun
    camera.set_slider("rotation", aim_spot.x / 20) -- Last number sets how fast orbit camera can rotate, as is with 20 its fast enough
    camera.set_slider("height", (camera_aim.y / 15) + camera_angle)

--VVV Handels reloading of the weapon if infinite ammo god tool is active
if not input.get_key('leftcontrol') then
if reloader == true then
    if reload_type == 1 then -- Single shot reload
        if input.get_mouse_button(0) and shell_loaded == true and switching_mode == 0 then
            shell_loaded = false
            reload_time = reload_setting * 100
            current_mag_size = 0
            gun_fire.click()
        end
        if reload_time > 0 then
            reload_time = math.floor(reload_time * 100)/100 - 1
        else
            reload_time = 0
            shell_loaded = true
            current_mag_size = 1
        end

    elseif reload_type == 2 then -- Autoloader
        if input.get_mouse_button(0) and shell_loaded == true and mag_ready == true and switching_mode == 0 then
            shell_loaded = false
            current_mag_size = current_mag_size - 1
            if current_mag_size ~= 0 then
                reload_time = inter_clip_reload * 100
            elseif current_mag_size <= 0 then
                reload_time = reload_setting * 100
                mag_ready = false
            end
            gun_fire.click()
        end
        if mag_ready == true and input.get_key_down('c') and current_mag_size ~= mag_size then
            reload_time = reload_setting * 100
            mag_ready = false
            current_mag_size = 0
        end
        if reload_time > 0 then
            reload_time = math.floor(reload_time * 100)/100 - 1
        elseif reload_time <= 0 and mag_ready == true then
            shell_loaded = true
            reload_time = 0
        elseif reload_time <= 0 and mag_ready == false then
            mag_ready = true
            current_mag_size = mag_size
            reload_time = 0
        end
    end
end
end
--^^^

--VVV
if can_use_siege_mode == true then
    if input.get_key_down('x') and siege_mode_toggle == false then
        siege_mode_toggle = true
        switching_mode = siege_delay * 100
    end
    if switching_mode ~= 0 then
        switching_mode = switching_mode - 1
    elseif switching_mode == 0 and siege_mode_toggle == true then
        siege_mode_toggle = false
        if siege_mode_active == false then
            siege_mode_active = true
            out_of_bounds_check = 1
            reload_setting = reload_setting2 * 0.5 -- Change the last number on this line to change the reload bonus in siege mode.
            turret_traverse_setting = siege_turret_traverse_setting * 0.75 -- Change the last number on this line to change the turret traverse in siege mode.
        elseif siege_mode_active == true then
            siege_mode_active = false
            reload_setting = reload_setting2 * 1
            turret_traverse_setting = siege_turret_traverse_setting
        end
    end
end
--^^^ Handels seiege mode. Sets vehicle speed and reload bonus.

    if input.get_mouse_button_up(1) then
        aim_spot.x = aim_spot_lerped.x
    else
        aim_spot.x = aim_spot.x
    end
end

local function on_gui()
    local aim_screen_position = gui.world_to_screen_point(aim_point)

if hide_reticle == false then
--VVV
    gui.draw_texture(rect.new((screen.width() / 2) + 570, (screen.height() / 2) - 150, 17, 199), dep_elv_bar_full)
    gui.draw_texture(rect.new((screen.width() / 2) + 570, (screen.height() / 2) - 349, 17, 199), dep_elv_bar_full)
    gui.draw_texture(rect.new((screen.width() / 2) + 570, (screen.height() / 2) + 49, 17, 199), dep_elv_bar_full)
    gui.draw_texture(rect.new((screen.width() / 2) + 570, (screen.height() / 2) + 448, 17, -199), dep_elv_bar_fade)
    gui.draw_texture(rect.new((screen.width() / 2) + 570, (screen.height() / 2) - 550, 17, 199), dep_elv_bar_fade)
    gui.draw_texture(rect.new(screen.width() - 1200, screen.height() * 0.6 + (aim_spot.y / 1.75) - 12, 102, 37), point_texture)
    --                                                                  ^ move up/down      ^ scaleRate
--^^^ Draws UI for the weapon's depression / elevation bar

--VVV
    local raycast = physics.raycast(vector.add(cannon_block.position(), vector.negative(cannon_block.up())), vector.negative(cannon_block.up()))
    if raycast == nil then
        range = 0
    else
        range = raycast.distance
        range = math.floor(range+0.5)
    end

    if range == 0 then
        gui.label(rect.new(aim_screen_position.x - 22.5, aim_screen_position.y + 88), "ERROR")
    elseif range <= 9 then
        gui.label(rect.new(aim_screen_position.x - 3, aim_screen_position.y + 88), range)
    elseif range <= 99 then
        gui.label(rect.new(aim_screen_position.x - 6.5, aim_screen_position.y + 88), range)
    elseif range <= 999 then
        gui.label(rect.new(aim_screen_position.x - 10, aim_screen_position.y + 88), range)
    elseif range <= 9999 then
        gui.label(rect.new(aim_screen_position.x - 15, aim_screen_position.y + 88), range)
    end
--^^^ Reticle range finder

--VVV
    gui.draw_texture(rect.new((screen.width() / 2) + 618, (screen.height() / 2) - 275, 152, 179), gun_info_bar)

    if current_mag_size >= 1 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 215, 33, 23), gun_info_shell) end
    if current_mag_size >= 2 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 205, 33, 23), gun_info_shell) end
    if current_mag_size >= 3 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 195, 33, 23), gun_info_shell) end
    if current_mag_size >= 4 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 185, 33, 23), gun_info_shell) end
    if current_mag_size >= 5 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 175, 33, 23), gun_info_shell) end
    if current_mag_size >= 6 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 165, 33, 23), gun_info_shell) end
    if current_mag_size >= 7 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 155, 33, 23), gun_info_shell) end
    if current_mag_size >= 8 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 145, 33, 23), gun_info_shell) end
    if current_mag_size >= 9 then   gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 135, 33, 23), gun_info_shell) end
    if current_mag_size >= 10 then gui.draw_texture(rect.new((screen.width() / 2) + 715, (screen.height() / 2) - 125, 33, 23), gun_info_shell) end

    if reload_time ~= 0 then
        gui.label(rect.new((screen.width() / 2) + 730, (screen.height() / 2) - 245), (math.floor(reload_time * 100)/100) / 100) -- reload side bar
        gui.label(rect.new(aim_screen_position.x - 230, aim_screen_position.y + 10, 538, 473), (math.floor(reload_time * 100)/100) / 100) -- reload reticle
    elseif current_mag_size <= 1 then
        gui.label(rect.new((screen.width() / 2) + 730, (screen.height() / 2) - 245), (math.floor(reload_setting * 100) / 100)) -- reload side bar
        gui.label(rect.new(aim_screen_position.x - 230, aim_screen_position.y + 10, 538, 473), (math.floor(reload_setting * 100) / 100)) -- reload reticle
    elseif mag_ready == true and reload_type == 2 then
        gui.label(rect.new((screen.width() / 2) + 730, (screen.height() / 2) - 245), (math.floor(inter_clip_reload * 100)/100)) -- reload side bar
        gui.label(rect.new(aim_screen_position.x - 230, aim_screen_position.y + 10, 538, 473), (math.floor(inter_clip_reload * 100)/100)) -- reload reticle
    end
--^^^ Draws UI for weapon info

    if reticle_version == 1 then -- Displays an alternate reticle in orbit camera
        gui.draw_texture(rect.new(aim_screen_position.x - 269, aim_screen_position.y - 236, 538, 473), reticle_texture2)
    elseif reticle_version == 2 then -- Displays an alternate reticle while in scope
        gui.draw_texture(rect.new(aim_screen_position.x - 269, aim_screen_position.y - 236, 538, 473), reticle_texture)
    end

--VVV
    if reticle_version == 1 and angle_check == 1 then
        gui.draw_texture(rect.new((screen.width() / 2) + 625, (screen.height() / 2) - 349, 145, 75), camera_angle_ui)
        gui.draw_texture(rect.new((screen.width() / 2) + 728, (screen.height() / 2) - 295, 33, -39), camera_angle_ui_arrow)
    elseif reticle_version == 1 and angle_check == 2 then
        gui.draw_texture(rect.new((screen.width() / 2) + 625, (screen.height() / 2) - 349, 145, 75), camera_angle_ui)
        gui.draw_texture(rect.new((screen.width() / 2) + 728, (screen.height() / 2) - 330, 33, 39), camera_angle_ui_arrow)
    end
--^^^ Draws UI for camera angle modes while in orbit camera. Makes it easier to tell what angle mode the orbit camera is actually in

-- VVV
    if can_use_siege_mode == true then
        gui.draw_texture(rect.new((screen.width() / 2) + 655, (screen.height() / 2) - 210, 57, 41), siege_mode_bracket)
        gui.label(rect.new((screen.width() / 2) + 640, (screen.height() / 2) - 165), "X To Toggle")
        if switching_mode ~= 0 then
            gui.label(rect.new((screen.width() / 2) + 670, (screen.height() / 2) - 198, 538, 473), switching_mode / 100)
        elseif siege_mode_active == true then
            gui.draw_texture(rect.new((screen.width() / 2) + 667, (screen.height() / 2) - 207, 34, 34), siege_mode_on)
        elseif siege_mode_active == false then
            gui.draw_texture(rect.new((screen.width() / 2) + 667, (screen.height() / 2) - 207, 34, 34), siege_mode_off)
        end
    end
-- ^^^ UI adon for showing mode and switch time

-- VVV
    vector2 = pivotPoint
    local pivotPoint = vector.new((screen.width() / 2) - 529.5, (screen.height() / 2) + 95.5)
    local angle = -aim_spot_lerped.x / 20

    if reticle_version == 1 then
        if not input.get_mouse_button(1) then
            gui.draw_texture(rect.new((screen.width() / 2) - 650, (screen.height() / 2) - 0, 242, 194), direction_ring)

            gui.rotate_around_point(-aim_spot.x / 20, pivotPoint)
            gui.rotate_around_point(aim_spot_lerped.x / 20, pivotPoint)
            gui.draw_texture(rect.new((screen.width() / 2) - 554, (screen.height() / 2) + 20, 49, 100), direction_gun)
            gui.rotate_around_point(-aim_spot_lerped.x / 20, pivotPoint)
            gui.rotate_around_point(aim_spot.x / 20, pivotPoint)

            gui.rotate_around_point(-aim_spot.x / 20, pivotPoint)
            gui.draw_texture(rect.new((screen.width() / 2) - 580.5, (screen.height() / 2) + 25, 102, 131), direction_hull)

            if lock_horizontal_traverse == true then
                gui.rotate_around_point(-left_traverse_range / 20, pivotPoint)
                gui.draw_texture(rect.new((screen.width() / 2) - 539.5, (screen.height() / 2) - 140, 10, 212), direction_traverse_cap)
                gui.rotate_around_point(left_traverse_range / 20, pivotPoint)

                gui.rotate_around_point(right_traverse_range / 20, pivotPoint)
                gui.draw_texture(rect.new((screen.width() / 2) - 519.5, (screen.height() / 2) - 140, -10, 212), direction_traverse_cap)
                gui.rotate_around_point(-right_traverse_range / 20, pivotPoint)
            end

            gui.rotate_around_point(aim_spot.x / 20, pivotPoint)
            gui.draw_texture(rect.new((screen.width() / 2) - 530.5, (screen.height() / 2) - 235, 3, 261), direction_camera_line)
        end
    end

    if reticle_version == 2 then
        gui.draw_texture(rect.new((screen.width() / 2) - 650, (screen.height() / 2) - 0, 242, 194), direction_ring)
        gui.draw_texture(rect.new((screen.width() / 2) - 554, (screen.height() / 2) + 20, 49, 100), direction_gun)

        gui.rotate_around_point(angle, pivotPoint)
        gui.draw_texture(rect.new((screen.width() / 2) - 580.5, (screen.height() / 2) + 25, 102, 131), direction_hull)
        gui.rotate_around_point(-angle, pivotPoint)

        if lock_horizontal_traverse == true then
            gui.rotate_around_point(angle, pivotPoint)
            gui.rotate_around_point(-left_traverse_range / 20, pivotPoint)
            gui.draw_texture(rect.new((screen.width() / 2) - 539.5, (screen.height() / 2) - 140, 10, 212), direction_traverse_cap)
            gui.rotate_around_point(left_traverse_range / 20, pivotPoint)
            gui.rotate_around_point(-angle, pivotPoint)

            gui.rotate_around_point(angle, pivotPoint)
            gui.rotate_around_point(right_traverse_range / 20, pivotPoint)
            gui.draw_texture(rect.new((screen.width() / 2) - 519.5, (screen.height() / 2) - 140, -10, 212), direction_traverse_cap)
            gui.rotate_around_point(-right_traverse_range / 20, pivotPoint)
            gui.rotate_around_point(-angle, pivotPoint)
        end

        gui.rotate_around_point(angle, pivotPoint)
        gui.rotate_around_point(aim_spot.x / 20, pivotPoint)
        gui.draw_texture(rect.new((screen.width() / 2) - 530.5, (screen.height() / 2) - 235, 3, 261), direction_camera_line)
        gui.rotate_around_point(-aim_spot.x / 20, pivotPoint)
        gui.rotate_around_point(-angle, pivotPoint)
    end
-- ^^^ Hull / Turret direction indicator.

--VVV
    if speed == 1 or speed == 2 or speed == 3 then gui.draw_texture(rect.new((screen.width() / 2) + 685, (screen.height() / 2) - 125, 33, 25), camera_angle_ui_arrow)   end
    if speed == 2 or speed == 3 then                             gui.draw_texture(rect.new((screen.width() / 2) + 685, (screen.height() / 2) - 135, 33, 25), camera_angle_ui_arrow) end
    if speed == 3 then                                                       gui.draw_texture(rect.new((screen.width() / 2) + 685, (screen.height() / 2) - 145, 33, 25), camera_angle_ui_arrow) end

    if speed == -1 or speed == -2 then gui.draw_texture(rect.new((screen.width() / 2) + 685, (screen.height() / 2) - 100, 33, -25), camera_angle_ui_arrow)  end
    if speed == -2 then                              gui.draw_texture(rect.new((screen.width() / 2) + 685, (screen.height() / 2) - 110, 33, -25), camera_angle_ui_arrow)    end
--^^^ cruise control hud
end
end

return {
  play = play,
  update = update,
  late_update = late_update,
  fixed_update = fixed_update,
  on_gui = on_gui,
}