Change out one if chain for a switch, put stats in 3:2:1:1 order in code (@paglias)
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+11
-10
@@ -964,23 +964,24 @@ api.wrap = (user) ->
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if user.preferences.automaticAllocation
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switch user.preferences.allocationMode
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when "flat"
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lowest = Math.min(user.stats.str, user.stats.int, user.stats.con, user.stats.per)
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if user.stats.int is lowest # In case of ties, favor INT first, to get the next point sooner
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suggested = Math.min(user.stats.str, user.stats.int, user.stats.con, user.stats.per)
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if user.stats.int is suggested # In case of ties, favor INT first, to get the next point sooner
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user.stats.int++
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else if user.stats.per is lowest # Then favor PER, it's a god stat
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else if user.stats.per is suggested # Then favor PER, it's a god stat
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user.stats.per++
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else if user.stats.str is lowest # Then favor STR, everyone loves crits
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else if user.stats.str is suggested # Then favor STR, everyone loves crits
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user.stats.str++
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else
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user.stats.con++ # CON, the unsexiest of attributes
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when "classbased"
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# Attributes get 3:2:1:1 per 7 levels. But put dump stats up front so they're favored in ties ("building the foundation of the pyramid")
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ideal = [(user.stats.lvl / 7), (user.stats.lvl / 7), (user.stats.lvl / 7 * 2), (user.stats.lvl / 7 * 3)] # Tertiary, quaternary, secondary, primary
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# Attributes get 3:2:1:1 per 7 levels.
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ideal = [(user.stats.lvl / 7 * 3), (user.stats.lvl / 7 * 2), (user.stats.lvl / 7), (user.stats.lvl / 7)]
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# Primary, secondary etc. attributes aren't explicitly defined, so hardcode them. In order per above
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if user.stats.class is "wizard" then preference = ["con", "str", "per", "int"]
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else if user.stats.class is "rogue" then preference = ["int", "con", "str", "per"]
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else if user.stats.class is "healer" then preference = ["str", "per", "int", "con"]
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else preference = ["per", "int", "con", "str"]
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switch user.stats.class
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when "wizard" then preference = ["int", "per", "con", "str"]
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when "rogue" then preference = ["per", "str", "int", "con"]
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when "healer" then preference = ["con", "int", "str", "per"]
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else preference = ["str", "con", "per", "int"]
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# Get the difference between the ideal attribute spread according to level, and the user's current spread.
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diff = [(user.stats[preference[0]]-ideal[0]),(user.stats[preference[1]]-ideal[1]),(user.stats[preference[2]]-ideal[2]),(user.stats[preference[3]]-ideal[3])]
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suggested = _.findIndex(diff, ((val) -> if val is _.min(diff) then true)) # Returns the index of the first attribute that's furthest behind the ideal
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