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autoAllocate: more code compactifying (for fun)

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Tyler Renelle 2014-01-04 18:10:59 -07:00
parent fdd856c2f8
commit 2d8dd47414
2 changed files with 9 additions and 27 deletions
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21
dist/habitrpg-shared.js vendored
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@ -12060,20 +12060,11 @@ var process=require("__browserify_process");(function() {
autoAllocate: function() {
return user.stats[(function() {
var diff, ideal, preference, suggested;
var diff, ideal, preference, stats, suggested;
switch (user.preferences.allocationMode) {
case "flat":
switch (Math.min(user.stats.str, user.stats.int, user.stats.con, user.stats.per)) {
case user.stats.int:
return "int";
case user.stats.per:
return "per";
case user.stats.str:
return "str";
default:
return "con";
}
break;
stats = _.pick(user.stats, $w('con str per int'));
return _.invert(stats)[_.min(stats)];
case "classbased":
ideal = [user.stats.lvl / 7 * 3, user.stats.lvl / 7 * 2, user.stats.lvl / 7, user.stats.lvl / 7];
preference = (function() {
@ -12100,11 +12091,7 @@ var process=require("__browserify_process");(function() {
return "str";
}
case "taskbased":
suggested = _.findKey(user.stats.training, (function(val) {
if (val === _.max(user.stats.training)) {
return val;
}
}));
suggested = _.invert(user.stats.training)[_.max(user.stats.training)];
_.merge(user.stats.training, {
str: 0,
int: 0,

15
script/index.coffee
View file

@ -1009,11 +1009,9 @@ api.wrap = (user) ->
user.stats[(->
switch user.preferences.allocationMode
when "flat"
switch Math.min(user.stats.str, user.stats.int, user.stats.con, user.stats.per)
when user.stats.int then "int" # In case of ties, favor INT first, to get the next point sooner
when user.stats.per then "per" # Then favor PER, it's a god stat
when user.stats.str then "str" # Then favor STR, everyone loves crits
else "con" # CON, the unsexiest of attributes
# Favor in order (right-to-left): INT, PER, STR, CON
stats = _.pick user.stats, $w 'con str per int'
_.invert(stats)[_.min stats]
when "classbased"
# Attributes get 3:2:1:1 per 7 levels.
ideal = [(user.stats.lvl / 7 * 3), (user.stats.lvl / 7 * 2), (user.stats.lvl / 7), (user.stats.lvl / 7)]
@ -1028,12 +1026,9 @@ api.wrap = (user) ->
suggested = _.findIndex(diff, ((val) -> if val is _.min(diff) then true)) # Returns the index of the first attribute that's furthest behind the ideal
return if ~suggested then preference[suggested] else "str" # If _.findIndex failed, we'd get a -1...
when "taskbased"
suggested = _.findKey(user.stats.training, ((val) -> if val is _.max(user.stats.training) then val)) # Returns the stat that's been trained up the most this level
# Reset training for this level.
_.merge user.stats.training, {str:0,int:0,con:0,per:0}
suggested = _.invert(user.stats.training)[_.max user.stats.training] # Returns the stat that's been trained up the most this level
_.merge user.stats.training, {str:0,int:0,con:0,per:0} # Reset training for this level.
return suggested or "str" # Failed _.findkey gives undefined
# tallies = _.reduce user.tasks, ((m,v)-> m[v.attribute or 'str'] += v.value;m), {str:0,int:0,con:0,per:0}
# suggested = _.reduce tallies, ((m,v,k)-> if v>tallies[m] then k else m), 'str'
else "str" # if all else fails, dump into STR
)()]++