bench-with-funcs.lua

(function()
    -- simulate omniata derived stuff with func calls
    function f1()
        return 1485357805
    end

    function f2()
        return 1485357805 + 3600
    end

    function f3()
        return 1485357805 - 3600
    end

    function f4()
        return 0.5
    end

    function f5()
        return 1000
    end

    function f6()
        return 10
    end

    function f7()
        return 0
    end

    function bench()
        user_vars = {
            ['cuf_offer_system_popup_1ts'] = f1(),
            ['cuf_offer_system_purchase_1ts'] = f2(),
            ['cuf_conversion_timestamp'] = f3(),
            ['cuf_ltv_offer_predicted_iap'] = f4()
        }
        user_state = {
            ['revenue'] = f5(),
            ['delta_revenue'] = f6()
        }
        event_kvp = {
            ['revenue'] = f7()
        }

        -- main logic
        purchase_time=math.max(user_vars['cuf_offer_system_popup_1ts'] or 0, user_vars['cuf_offer_system_purchase_1ts'] or 0)

        if purchase_time == user_vars['cuf_offer_system_popup_1ts'] then
            finish_offer=((user_vars['cuf_offer_system_popup_1ts'] or 0 )+86400)
        else
            finish_offer=purchase_time
        end

        if user_vars['cuf_offer_system_popup_1ts']==nil
        then finish_offer=user_vars['cuf_conversion_timestamp'] or 0 or event_kvp['om_event_type']
        end

        if finish_offer == 0
        then
            return math.max(user_vars['cuf_ltv_offer_predicted_iap'] or 0, (user_state['revenue'] + user_state['delta_revenue'])/100)
        end

        if finish_offer < os.time()
        then
            return math.max(user_vars['cuf_ltv_offer_predicted_iap'] or 0, (user_state['revenue'] + user_state['delta_revenue'])/100)
        else
            return user_vars['cuf_offer_system_purchase_3ltv'] or 0
        end
    end

    for i=200,1,-1 do
        bench()
    end

    return true
end
)()