Dusk/aux-addon-ClassicAPI
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module refactoring

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This commit is contained in:
Simon Hirsig
2017-11-01 15:01:41 +01:00
parent 9989ceb42f
commit 8823b34904
36 changed files with 669 additions and 646 deletions
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core/disenchant.lua
+63 -62
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@@ -1,13 +1,14 @@
module 'aux.core.disenchant'
include 'T'
include 'aux'
local T = require 'T'
local history = require 'aux.core.history'
local UNCOMMON, RARE, EPIC = 2, 3, 4
local ARMOR = S(
local ARMOR = T.set(
'INVTYPE_HEAD',
'INVTYPE_NECK',
'INVTYPE_SHOULDER',
@@ -25,7 +26,7 @@ local ARMOR = S(
'INVTYPE_HOLDABLE'
)
local WEAPON = S(
local WEAPON = T.set(
'INVTYPE_2HWEAPON',
'INVTYPE_WEAPONMAINHAND',
'INVTYPE_WEAPON',
@@ -50,7 +51,7 @@ end
function M.distribution(slot, quality, level)
if not ARMOR[slot] and not WEAPON[slot] or level == 0 then
return T
return T.acquire()
end
local function p(probability_armor, probability_weapon)
@@ -63,103 +64,103 @@ function M.distribution(slot, quality, level)
if quality == UNCOMMON then
if level <= 10 then
return temp-A(
temp-O('item_id', 10940, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.8, .2)),
temp-O('item_id', 10938, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .8))
return T.temp-T.list(
T.temp-T.map('item_id', 10940, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.8, .2)),
T.temp-T.map('item_id', 10938, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .8))
)
elseif level <= 15 then
return temp-A(
temp-O('item_id', 10940, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.75, .2)),
temp-O('item_id', 10939, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
return T.temp-T.list(
T.temp-T.map('item_id', 10940, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 10939, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 20 then
return temp-A(
temp-O('item_id', 10940, 'min_quantity', 4, 'max_quantity', 6, 'probability', p(.75, .15)),
temp-O('item_id', 10998, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.15, .75)),
temp-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .10)
return T.temp-T.list(
T.temp-T.map('item_id', 10940, 'min_quantity', 4, 'max_quantity', 6, 'probability', p(.75, .15)),
T.temp-T.map('item_id', 10998, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.15, .75)),
T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .10)
)
elseif level <= 25 then
return temp-A(
temp-O('item_id', 11083, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
temp-O('item_id', 11082, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
return T.temp-T.list(
T.temp-T.map('item_id', 11083, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11082, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 30 then
return temp-A(
temp-O('item_id', 11083, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
temp-O('item_id', 11134, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
return T.temp-T.list(
T.temp-T.map('item_id', 11083, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11134, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 35 then
return temp-A(
temp-O('item_id', 11137, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
temp-O('item_id', 11135, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
return T.temp-T.list(
T.temp-T.map('item_id', 11137, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11135, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 40 then
return temp-A(
temp-O('item_id', 11137, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
temp-O('item_id', 11174, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
return T.temp-T.list(
T.temp-T.map('item_id', 11137, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11174, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 45 then
return temp-A(
temp-O('item_id', 11176, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
temp-O('item_id', 11175, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
return T.temp-T.list(
T.temp-T.map('item_id', 11176, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11175, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 50 then
return temp-A(
temp-O('item_id', 11176, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
temp-O('item_id', 16202, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
return T.temp-T.list(
T.temp-T.map('item_id', 11176, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
T.temp-T.map('item_id', 16202, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
elseif level <= 55 then
return temp-A(
temp-O('item_id', 16204, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .22)),
temp-O('item_id', 16203, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
temp-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
return T.temp-T.list(
T.temp-T.map('item_id', 16204, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .22)),
T.temp-T.map('item_id', 16203, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
elseif level <= 60 then
return temp-A(
temp-O('item_id', 16204, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
temp-O('item_id', 16203, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.2, .75)),
temp-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
return T.temp-T.list(
T.temp-T.map('item_id', 16204, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
T.temp-T.map('item_id', 16203, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
end
elseif quality == RARE then
if level <= 20 then
return temp-A(temp-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 25 then
return temp-A(temp-O('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 30 then
return temp-A(temp-O('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 35 then
return temp-A(temp-O('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 40 then
return temp-A(temp-O('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 45 then
return temp-A(temp-O('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 50 then
return temp-A(temp-O('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 55 then
return temp-A(temp-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), temp-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
return T.temp-T.list(T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
elseif level <= 60 then
return temp-A(temp-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), temp-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
return T.temp-T.list(T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
end
elseif quality == EPIC then
if level <= 40 then
return temp-A(temp-O('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 45 then
return temp-A(temp-O('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 50 then
return temp-A(temp-O('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 55 then
return temp-A(temp-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 60 then
return temp-A(temp-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
return T.temp-T.list(T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
end
end
return T
return T.acquire()
end