278 lines
7.2 KiB
Lua
278 lines
7.2 KiB
Lua
local MAX_HISTORY_SIZE = 100
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local MIN_SEEN = 1
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local UNDERCUT_FACTOR = 0.2
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Aux.history = {}
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local process_auction, balanced_list, update_snapshot
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local get_market_price, get_usable_median, get_historical_median, get_median, get_percentile
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local signature_cache
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function Aux.history.on_close()
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end
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function Aux.history.on_open()
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end
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function Aux.history.start_scan()
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if not AuxHistoryScanButton:IsVisible() then
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return
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end
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AuxHistoryScanButton:Hide()
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AuxHistoryStopButton:Show()
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signature_cache = Aux.util.set()
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Aux.log('Scanning auctions ...')
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Aux.scan.start{
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query = {},
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page = 0,
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on_page_loaded = function(page, total_pages)
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Aux.log('Scanning page '..(page+1)..' out of '..total_pages..' ...')
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end,
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on_read_auction = function(i)
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process_auction(i)
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end,
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on_complete = function()
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update_snapshot()
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AuxHistoryStopButton:Hide()
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AuxHistoryScanButton:Show()
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end,
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on_abort = function()
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update_snapshot()
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AuxHistoryStopButton:Hide()
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AuxHistoryScanButton:Show()
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end,
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next_page = function(page, total_pages)
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if AuxBuyAllPagesCheckButton:GetChecked() then
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local last_page = max(total_pages - 1, 0)
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if page < last_page then
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return page + 1
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end
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end
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end,
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}
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end
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function update_snapshot()
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local snapshot = Aux.persistence.get_snapshot()
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snapshot.remove_all(signature_cache.values())
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Aux.persistence.save_snapshot(snapshot)
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end
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function Aux.history.stop_scan()
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Aux.scan.abort()
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end
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function process_auction(index)
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local auction_info = Aux.info.auction_item(index)
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local buyout_price = Aux.util.safe_index{auction_info, 'buyout_price'}
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if buyout_price and buyout_price > 0 then
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local aux_quantity = auction_info.charges or auction_info.count
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local price = ceil(buyout_price / aux_quantity)
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local item_key = auction_info.item_signature
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local signature = Aux.info.auction_signature(index)
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signature_cache.add(signature)
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local snapshot = Aux.persistence.get_snapshot()
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if not snapshot.contains(signature) then
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snapshot.add(signature)
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Aux.persistence.save_snapshot(snapshot)
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--
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-- local item_record = Aux.persistence.get_item_record(item_key)
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--
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-- item_record = item_record or {
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-- count = 0,
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-- accumulated_price = 0,
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-- price_list = {},
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-- }
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--
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-- local price_list = balanced_list(MAX_HISTORY_SIZE)
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-- price_list.add_all(item_record.price_list)
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-- price_list.add(price)
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--
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-- Aux.persistence.save_item_record(item_key, {
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-- count = item_record.count + 1,
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-- accumulated_price = item_record.accumulated_price + price,
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-- price_list = price_list.values(),
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-- })
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--
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end
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end
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end
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function Aux.history.get_market_price(key)
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local price
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local median = get_usable_median(key)
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-- local avgMin, avgBuy, avgBid, bidPct, buyPct, avgQty, meanCount = getMeans(key, realm)
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-- assign the best common buyout
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if median and median > 0 then
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price = median
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-- elseif meanCount and meanCount > 0 then
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-- -- if a usable median does not exist, use the average buyout instead
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-- price = avgBuy;
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end
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return price
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end
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function get_usable_median(item_key)
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local historical_median, historical_count = get_historical_median(item_key)
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if historical_count >= MIN_SEEN then
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return historical_median, historical_count
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end
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end
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function get_historical_median(item_key)
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local price_list = Aux.util.safe_index{Aux.persistence.get_item_record(item_key), 'price_list'}
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return get_median(price_list or {})
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end
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function get_median(values)
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return get_percentile(values, 0.5)
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end
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-- Return weighted average percentile such that returned value
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-- is larger than or equal to (100*pct)% of the table values
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-- 0 <= pct <= 1
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function get_percentile(values, pct)
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local _percentile = function(sorted_values, pct, first, last)
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local f = (last - first) * pct + first
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local i1, i2 = floor(f), ceil(f)
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f = f - i1
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return sorted_values[i1] * (1 - f) + sorted_values[i2] * f
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end
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local n = getn(values)
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if n == 0 then
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return 0, 0 -- if there is an empty table, returns median = 0, count = 0
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elseif n == 1 then
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return tonumber(values[1]), 1
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end
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-- The following calculations require a sorted table
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table.sort(values)
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-- Skip IQR calculations if table is too small to have outliers
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if n <= 4 then
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return _percentile(values, pct, 1, n), n
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end
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-- REWORK by Karavirs to use IQR*1.5 to ignore outliers
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-- q1 is median 1st quartile q2 is median of set q3 is median of 3rd quartile iqr is q3 - q1
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local q1 = _percentile(values, 0.25, 1, n)
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local q3 = _percentile(values, 0.75, 1, n)
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local iqr = (q3 - q1) * 1.5
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local iqlow, iqhigh = q1 - iqr, q3 + iqr
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-- Find first and last index to include in median calculation
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local first, last = 1, n
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-- Skip low outliers
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while values[first] < iqlow do
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first = first + 1
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end
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-- Skip high outliers
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while values[last] > iqhigh do
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last = last - 1
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end
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return _percentile(values, pct, first, last), last - first + 1
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end
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function balanced_list(max_size, cmp)
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local self = {}
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local values = {}
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cmp = cmp or Aux.util.compare
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function self.add(value)
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local left = 1
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local right = getn(values)
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local middle_value
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local middle
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local destination
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while left <= right do
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middle = floor((right - left) / 2) + left
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middle_value = values[middle]
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if cmp(value, middle_value) == Aux.util.LT then
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right = middle - 1
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elseif cmp(value, middle_value) == Aux.util.GT then
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left = middle + 1
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else
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destination = middle
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break
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end
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end
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destination = destination or left
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tinsert(values, destination, value)
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if max_size and getn(values) > max_size then
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if destination <= floor(max_size / 2) + 1 then
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tremove(values)
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else
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tremove(values, 1)
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end
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end
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end
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function self.add_all(array)
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self.clear()
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for _, value in ipairs(array) do
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self.add(value)
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end
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end
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function self.clear()
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values = {}
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end
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function self.values()
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local result = {}
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for _, value in ipairs(values) do
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tinsert(result, value)
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end
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return result
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end
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function self.size()
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return getn(values)
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end
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function self.get(index)
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return values[index]
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end
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function self.max_size()
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return max_size
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end
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return self
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end
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function Aux.history.get_price_suggestion(key, quantity)
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local market_price = Aux.history.get_market_price(key)
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return market_price and market_price * quantity * UNDERCUT_FACTOR or 0
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end |