Dusk/aux-addon-ClassicAPI
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greent refactoring

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This commit is contained in:
Manuel Simon Hirsig
2016-11-07 12:09:40 +01:00
parent 38d3c6c607
commit 3ef4597018
31 changed files with 267 additions and 252 deletions
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core/disenchant.lua
+50 -50
View File
@@ -1,6 +1,6 @@
module 'aux.core.disenchant'
include 'green_t'
include 'green_T'
include 'aux'
local history = require 'aux.core.history'
@@ -8,7 +8,7 @@ local history = require 'aux.core.history'
local UNCOMMON, RARE, EPIC = 2, 3, 4
do
local data = T(
local data = O(
10940, A('DUST', '1-20'),
11083, A('DUST', '21-30'),
11137, A('DUST', '31-40'),
@@ -86,7 +86,7 @@ end
function M.distribution(slot, quality, level)
if not ARMOR[slot] and not WEAPON[slot] or level == 0 then
return t
return T
end
local function p(probability_armor, probability_weapon)
@@ -100,102 +100,102 @@ function M.distribution(slot, quality, level)
if quality == UNCOMMON then
if level <= 10 then
return A(
weak-T('item_id', 10940, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.8, .2)),
weak-T('item_id', 10938, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .8))
weak-O('item_id', 10940, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.8, .2)),
weak-O('item_id', 10938, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .8))
)
elseif level <= 15 then
return A(
weak-T('item_id', 10940, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.75, .2)),
weak-T('item_id', 10939, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
weak-O('item_id', 10940, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.75, .2)),
weak-O('item_id', 10939, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 20 then
return A(
weak-T('item_id', 10940, 'min_quantity', 4, 'max_quantity', 6, 'probability', p(.75, .15)),
weak-T('item_id', 10998, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.15, .75)),
weak-T('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .10)
weak-O('item_id', 10940, 'min_quantity', 4, 'max_quantity', 6, 'probability', p(.75, .15)),
weak-O('item_id', 10998, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.15, .75)),
weak-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .10)
)
elseif level <= 25 then
return A(
weak-T('item_id', 11083, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
weak-T('item_id', 11082, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
weak-O('item_id', 11083, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
weak-O('item_id', 11082, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 30 then
return A(
weak-T('item_id', 11083, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
weak-T('item_id', 11134, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
weak-O('item_id', 11083, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
weak-O('item_id', 11134, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 35 then
return A(
weak-T('item_id', 11137, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
weak-T('item_id', 11135, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
weak-O('item_id', 11137, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
weak-O('item_id', 11135, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 40 then
return A(
weak-T('item_id', 11137, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
weak-T('item_id', 11174, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
weak-O('item_id', 11137, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
weak-O('item_id', 11174, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 45 then
return A(
weak-T('item_id', 11176, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
weak-T('item_id', 11175, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
weak-O('item_id', 11176, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
weak-O('item_id', 11175, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 50 then
return A(
weak-T('item_id', 11176, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
weak-T('item_id', 16202, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
weak-O('item_id', 11176, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
weak-O('item_id', 16202, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
elseif level <= 55 then
return A(
weak-T('item_id', 16204, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .22)),
weak-T('item_id', 16203, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-T('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
weak-O('item_id', 16204, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .22)),
weak-O('item_id', 16203, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
weak-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
elseif level <= 60 then
return A(
weak-T('item_id', 16204, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
weak-T('item_id', 16203, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.2, .75)),
weak-T('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
weak-O('item_id', 16204, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
weak-O('item_id', 16203, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.2, .75)),
weak-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
end
elseif quality == RARE then
if level <= 20 then
return A(weak-T('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 25 then
return A(weak-T('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 30 then
return A(weak-T('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 35 then
return A(weak-T('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 40 then
return A(weak-T('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 45 then
return A(weak-T('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 50 then
return A(weak-T('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 55 then
return A(weak-T('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), T('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
return A(weak-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
elseif level <= 60 then
return A(weak-T('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), T('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
return A(weak-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
end
elseif quality == EPIC then
if level <= 40 then
return A(weak-T('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return A(weak-O('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 45 then
return A(weak-T('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return A(weak-O('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 50 then
return A(weak-T('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return A(weak-O('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 55 then
return A(weak-T('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return A(weak-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 60 then
return A(weak-T('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
return A(weak-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
end
end
return t
return T
end