Dusk/aux-addon-ClassicAPI
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

bugfix, library change

Browse Source
This commit is contained in:
Manuel Simon Hirsig
2017-01-16 18:17:13 +01:00
parent ea1bf388b9
commit ddd0392bfc
7 changed files with 71 additions and 79 deletions
Download Patch File Download Diff File Expand all files Collapse all files
core/disenchant.lua
+58 -58
View File
@@ -73,7 +73,7 @@ local WEAPON = S(
function M.value(slot, quality, level)
local expectation
for _, event in temp-distribution(slot, quality, level) do
for _, event in distribution(slot, quality, level) do
local value = history.value(event.item_id .. ':' .. 0)
if not value then
return
@@ -99,102 +99,102 @@ function M.distribution(slot, quality, level)
if quality == UNCOMMON then
if level <= 10 then
return A(
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))
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))
)
elseif level <= 15 then
return A(
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)
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)
)
elseif level <= 20 then
return A(
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)
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)
)
elseif level <= 25 then
return A(
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)
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)
)
elseif level <= 30 then
return A(
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)
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)
)
elseif level <= 35 then
return A(
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)
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)
)
elseif level <= 40 then
return A(
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)
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)
)
elseif level <= 45 then
return A(
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)
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)
)
elseif level <= 50 then
return A(
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))
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))
)
elseif level <= 55 then
return A(
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))
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))
)
elseif level <= 60 then
return A(
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))
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))
)
end
elseif quality == RARE then
if level <= 20 then
return A(weak-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 25 then
return A(weak-O('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 30 then
return A(weak-O('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 35 then
return A(weak-O('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 40 then
return A(weak-O('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 45 then
return A(weak-O('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 50 then
return A(weak-O('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 55 then
return A(weak-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), weak-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
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))
elseif level <= 60 then
return A(weak-O('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), weak-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
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))
end
elseif quality == EPIC then
if level <= 40 then
return A(weak-O('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return temp-A(temp-O('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 45 then
return A(weak-O('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return temp-A(temp-O('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 50 then
return A(weak-O('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
return temp-A(temp-O('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 55 then
return A(weak-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
return temp-A(temp-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 60 then
return A(weak-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
return temp-A(temp-O('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
end
end
return T
core/history.lua
+1 -1
View File
@@ -107,7 +107,7 @@ end
function push_record(item_record)
if item_record.daily_min_buyout then
tinsert(item_record.data_points, 1, weak-O('value', item_record.daily_min_buyout, 'time', item_record.next_push))
tinsert(item_record.data_points, 1, O('value', item_record.daily_min_buyout, 'time', item_record.next_push))
while getn(item_record.data_points) > 11 do
release(item_record.data_points[getn(item_record.data_points)])
tremove(item_record.data_points)
core/tooltip.lua
+1 -1
View File
@@ -70,7 +70,7 @@ function extend_tooltip(tooltip, link, quantity)
end
local item_info = temp-info.item(item_id)
if item_info then
local distribution = temp-disenchant.distribution(item_info.slot, item_info.quality, item_info.level)
local distribution = disenchant.distribution(item_info.slot, item_info.quality, item_info.level)
if getn(distribution) > 0 then
if aux_tooltip_disenchant_distribution then
tooltip:AddLine('Disenchants into:', color.tooltip.disenchant.distribution())