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a stable sort algorithm on mutil condition array
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--[[ | |
稳定的多维条件数组排序 | |
由调用者保证tbCondition的元素个数大于等于维度nDimension | |
]] | |
function MutilArraySort(tbCondition, nDimension) | |
local tbResult = {} | |
for i = 1, #tbCondition do | |
local nInsert = 0 | |
local nLocal = 1 | |
for k = 1, nDimension do | |
local function DimensionCompare(j) | |
if j > #tbResult then | |
return #tbCondition + 1 | |
end | |
if tbCondition[i][k] > tbCondition[tbResult[j]][k] then | |
return j | |
elseif tbCondition[i][k] == tbCondition[tbResult[j]][k] then | |
return 0, j | |
else | |
return DimensionCompare(j + 1) | |
end | |
end | |
nInsert, nLocal = DimensionCompare(nLocal) | |
if nInsert > 0 and nInsert <= #tbResult then | |
table.insert(tbResult, nInsert, i) | |
break | |
elseif nInsert > #tbResult then | |
table.insert(tbResult, i) | |
break | |
end | |
if k == nDimension then | |
table.insert(tbResult, i) | |
break | |
end | |
end | |
end | |
return tbResult | |
end | |
tbCondition = { | |
[1] = { 1, 2, 6, 6 }, | |
[2] = { 5, 2, 8, 5 }, | |
[3] = { 5, 2, 7, 6 }, | |
[4] = { 5, 2, 1, 4 }, | |
} | |
local tbResult = MutilArraySort(tbCondition, 4) | |
for i = 1, #tbResult do | |
print(tbResult[i]) | |
end |
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