Difference between revisions of "TableTools"
From Unofficial Stationeers Wiki
(clone tn rather than returning an altered tn) |
(add isNan function, shallowClone function and removeDuplicates function, fix up valueIntersection function to work properly for NaNs) |
||
| Line 25: | Line 25: | ||
-- isPositiveInteger | -- isPositiveInteger | ||
-- | -- | ||
| − | -- This function returns true if the given | + | -- This function returns true if the given value is a positive integer, and false |
-- if not. Although it doesn't operate on tables, it is included here as it is | -- if not. Although it doesn't operate on tables, it is included here as it is | ||
-- useful for determining whether a given table key is in the array part or the | -- useful for determining whether a given table key is in the array part or the | ||
| Line 31: | Line 31: | ||
------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------ | ||
--]] | --]] | ||
| − | function p.isPositiveInteger( | + | function p.isPositiveInteger(v) |
| − | if type( | + | if type(v) == 'number' and v >= 1 and floor(v) == v and v < infinity then |
return true | return true | ||
else | else | ||
return false | return false | ||
end | end | ||
| + | end | ||
| + | |||
| + | --[[ | ||
| + | ------------------------------------------------------------------------------------ | ||
| + | -- isNan | ||
| + | -- | ||
| + | -- This function returns true if the given number is a NaN value, and false | ||
| + | -- if not. Although it doesn't operate on tables, it is included here as it is | ||
| + | -- useful for determining whether a value can be a valid table key. Lua will | ||
| + | -- generate an error if a NaN is used as a table key. | ||
| + | ------------------------------------------------------------------------------------ | ||
| + | --]] | ||
| + | function p.isNan(v) | ||
| + | if type(v) == 'number' and tostring(v) == '-nan' then | ||
| + | return true | ||
| + | else | ||
| + | return false | ||
| + | end | ||
| + | end | ||
| + | |||
| + | --[[ | ||
| + | ------------------------------------------------------------------------------------ | ||
| + | -- shallowClone | ||
| + | -- | ||
| + | -- This returns a clone of a table. The value returned is a new table, but all | ||
| + | -- subtables and functions are shared. Metamethods are respected, but the returned | ||
| + | -- table will have no metatable of its own. | ||
| + | ------------------------------------------------------------------------------------ | ||
| + | --]] | ||
| + | function p.shallowClone(t) | ||
| + | local ret = {} | ||
| + | for k, v in pairs(t) do | ||
| + | ret[k] = v | ||
| + | end | ||
| + | return ret | ||
| + | end | ||
| + | |||
| + | --[[ | ||
| + | ------------------------------------------------------------------------------------ | ||
| + | -- removeDuplicates | ||
| + | -- | ||
| + | -- This removes duplicate values from an array. Non-positive-integer keys are | ||
| + | -- ignored. The earliest value is kept, and all subsequent duplicate values are | ||
| + | -- removed, but otherwise the array order is unchanged. | ||
| + | ------------------------------------------------------------------------------------ | ||
| + | --]] | ||
| + | function p.removeDuplicates(t) | ||
| + | local isNan = p.isNan | ||
| + | local ret, exists = {}, {} | ||
| + | for i, v in ipairs(t) do | ||
| + | if isNan(v) then | ||
| + | -- NaNs can't be table keys, and they are also unique, so we don't need to check existence. | ||
| + | ret[#ret + 1] = v | ||
| + | else | ||
| + | if not exists[v] then | ||
| + | ret[#ret + 1] = v | ||
| + | exists[v] = true | ||
| + | end | ||
| + | end | ||
| + | end | ||
| + | return ret | ||
end | end | ||
| Line 167: | Line 228: | ||
function p.valueIntersection(...) | function p.valueIntersection(...) | ||
local lim = select('#', ...) | local lim = select('#', ...) | ||
| − | if lim | + | if lim < 2 then |
| − | error(" | + | error(lim .. ' argument' .. (lim == 1 and '' or 's') .. " passed to 'intersection' (minimum is 2)", 2) |
end | end | ||
| + | local isNan = p.isNan | ||
local vals, ret = {}, {} | local vals, ret = {}, {} | ||
| + | local isSameTable = true -- Tracks table equality. | ||
| + | local tableTemp -- Used to store the table from the previous loop so that we can check table equality. | ||
for i = 1, lim do | for i = 1, lim do | ||
local t = select(i, ...) | local t = select(i, ...) | ||
checkType('valueIntersection', i, t, 'table') | checkType('valueIntersection', i, t, 'table') | ||
| + | if tableTemp and t ~= tableTemp then | ||
| + | isSameTable = false | ||
| + | end | ||
| + | tableTemp = t | ||
for k, v in pairs(t) do | for k, v in pairs(t) do | ||
| − | if | + | -- NaNs are never equal to any other value, so they can't be in the intersection. |
| − | v = | + | -- Which is lucky, as they also can't be table keys. |
| + | if not isNan(v) then | ||
| + | local valCount = vals[v] or 0 | ||
| + | vals[v] = valCount + 1 | ||
end | end | ||
| − | |||
| − | |||
end | end | ||
| + | end | ||
| + | if isSameTable then | ||
| + | -- If all the tables are equal, then the intersection is that table (including NaNs). | ||
| + | -- All we need to do is convert it to an array and remove duplicate values. | ||
| + | for k, v in pairs(tableTemp) do | ||
| + | ret[#ret + 1] = v | ||
| + | end | ||
| + | return p.removeDuplicates(ret) | ||
end | end | ||
for val, count in pairs(vals) do | for val, count in pairs(vals) do | ||
if count == lim then | if count == lim then | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
ret[#ret + 1] = val | ret[#ret + 1] = val | ||
end | end | ||
Revision as of 01:44, 19 December 2013
Documentation for this module may be created at Module:TableTools/doc
--[[
------------------------------------------------------------------------------------
-- TableTools --
-- --
-- This module includes a number of functions for dealing with Lua tables. --
-- It is a meta-module, meant to be called from other Lua modules, and should --
-- not be called directly from #invoke. --
------------------------------------------------------------------------------------
--]]
local libraryUtil = require('libraryUtil')
local p = {}
-- Define often-used variables and functions.
local floor = math.floor
local infinity = math.huge
local checkType = libraryUtil.checkType
-- Define a unique value to represent NaN. This is because NaN cannot be used as a table key.
local nan = {}
--[[
------------------------------------------------------------------------------------
-- isPositiveInteger
--
-- This function returns true if the given value is a positive integer, and false
-- if not. Although it doesn't operate on tables, it is included here as it is
-- useful for determining whether a given table key is in the array part or the
-- hash part of a table.
------------------------------------------------------------------------------------
--]]
function p.isPositiveInteger(v)
if type(v) == 'number' and v >= 1 and floor(v) == v and v < infinity then
return true
else
return false
end
end
--[[
------------------------------------------------------------------------------------
-- isNan
--
-- This function returns true if the given number is a NaN value, and false
-- if not. Although it doesn't operate on tables, it is included here as it is
-- useful for determining whether a value can be a valid table key. Lua will
-- generate an error if a NaN is used as a table key.
------------------------------------------------------------------------------------
--]]
function p.isNan(v)
if type(v) == 'number' and tostring(v) == '-nan' then
return true
else
return false
end
end
--[[
------------------------------------------------------------------------------------
-- shallowClone
--
-- This returns a clone of a table. The value returned is a new table, but all
-- subtables and functions are shared. Metamethods are respected, but the returned
-- table will have no metatable of its own.
------------------------------------------------------------------------------------
--]]
function p.shallowClone(t)
local ret = {}
for k, v in pairs(t) do
ret[k] = v
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- removeDuplicates
--
-- This removes duplicate values from an array. Non-positive-integer keys are
-- ignored. The earliest value is kept, and all subsequent duplicate values are
-- removed, but otherwise the array order is unchanged.
------------------------------------------------------------------------------------
--]]
function p.removeDuplicates(t)
local isNan = p.isNan
local ret, exists = {}, {}
for i, v in ipairs(t) do
if isNan(v) then
-- NaNs can't be table keys, and they are also unique, so we don't need to check existence.
ret[#ret + 1] = v
else
if not exists[v] then
ret[#ret + 1] = v
exists[v] = true
end
end
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- union
--
-- This returns the union of the key/value pairs of n tables. If any of the tables
-- contain different values for the same table key, the table value is converted
-- to an array holding all of the different values.
------------------------------------------------------------------------------------
--]]
function p.union(...)
local lim = select('#', ...)
if lim == 0 then
error("no arguments passed to 'union'", 2)
end
local ret, trackArrays = {}, {}
for i = 1, lim do
local t = select(i, ...)
checkType('union', i, t, 'table')
for k, v in pairs(t) do
local retKey = ret[k]
if retKey == nil then
ret[k] = v
elseif retKey ~= v then
if trackArrays[k] then
local array = ret[k]
local valExists
for _, arrayVal in ipairs(array) do
if arrayVal == v then
valExists = true
break
end
end
if not valExists then
array[#array + 1] = v
ret[k] = array
end
else
ret[k] = {ret[k], v}
trackArrays[k] = true
end
end
end
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- valueUnion
--
-- This returns the union of the values of n tables, as an array. For example, for
-- the tables {1, 3, 4, 5, foo = 7} and {2, bar = 3, 5, 6}, union will return
-- {1, 2, 3, 4, 5, 6, 7}.
------------------------------------------------------------------------------------
--]]
function p.valueUnion(...)
local lim = select('#', ...)
if lim == 0 then
error("no arguments passed to 'valueUnion'", 2)
end
local vals, ret = {}, {}
for i = 1, lim do
local t = select(i, ...)
checkType('valueUnion', i, t, 'table')
for k, v in pairs(t) do
if type(v) == 'number' and tostring(v) == '-nan' then
v = nan -- NaN cannot be a table key, so use a proxy variable.
end
vals[v] = true
end
end
for val in pairs(vals) do
if val == nan then
-- This ensures that we output a NaN when we had one as input, although
-- they may have been generated in a completely different way.
val = 0/0
end
ret[#ret + 1] = val
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- intersection
--
-- This returns the intersection of the key/value pairs of n tables. Both the key
-- and the value must match to be included in the resulting table.
------------------------------------------------------------------------------------
--]]
function p.intersection(...)
local lim = select('#', ...)
if lim == 0 then
error("no arguments passed to 'intersection'", 2)
end
local ret, track, pairCounts = {}, {}, {}
for i = 1, lim do
local t = select(i, ...)
checkType('intersection', i, t, 'table')
for k, v in pairs(t) do
local trackVal = track[k]
if trackVal == nil then
track[k] = v
pairCounts[k] = 1
elseif trackVal == v then
pairCounts[k] = pairCounts[k] + 1
end
end
end
for k, v in pairs(track) do
if pairCounts[k] == lim then
ret[k] = v
end
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- valueIntersection
--
-- This returns the intersection of the values of n tables, as an array. For
-- example, for the tables {1, 3, 4, 5, foo = 7} and {2, bar = 3, 5, 6},
-- intersection will return {3, 5}.
------------------------------------------------------------------------------------
--]]
function p.valueIntersection(...)
local lim = select('#', ...)
if lim < 2 then
error(lim .. ' argument' .. (lim == 1 and '' or 's') .. " passed to 'intersection' (minimum is 2)", 2)
end
local isNan = p.isNan
local vals, ret = {}, {}
local isSameTable = true -- Tracks table equality.
local tableTemp -- Used to store the table from the previous loop so that we can check table equality.
for i = 1, lim do
local t = select(i, ...)
checkType('valueIntersection', i, t, 'table')
if tableTemp and t ~= tableTemp then
isSameTable = false
end
tableTemp = t
for k, v in pairs(t) do
-- NaNs are never equal to any other value, so they can't be in the intersection.
-- Which is lucky, as they also can't be table keys.
if not isNan(v) then
local valCount = vals[v] or 0
vals[v] = valCount + 1
end
end
end
if isSameTable then
-- If all the tables are equal, then the intersection is that table (including NaNs).
-- All we need to do is convert it to an array and remove duplicate values.
for k, v in pairs(tableTemp) do
ret[#ret + 1] = v
end
return p.removeDuplicates(ret)
end
for val, count in pairs(vals) do
if count == lim then
ret[#ret + 1] = val
end
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- complement
--
-- This returns the relative complement of t1, t2, ..., in tn. The complement
-- is of key/value pairs. This is equivalent to all the key/value pairs that are in
-- tn but are not in t1, t2, ... tn-1.
------------------------------------------------------------------------------------
--]]
function p.complement(...)
local lim = select('#', ...)
if lim == 0 then
error("no arguments passed to 'complement' (minimum is two)", 2)
elseif lim == 1 then
error("only one argument passed to 'complement' (minimum is two)", 2)
end
--[[
-- Now we know that we have at least two sets.
-- First, get all the key/value pairs in tn. We can't simply make ret equal to tn,
-- as that will affect the value of tn for the whole module.
--]]
local tn = select(lim, ...)
checkType('complement', lim, tn, 'table')
local ret = {}
for k, v in pairs(tn) do
ret[k] = v
end
-- Remove all the key/value pairs in t1, t2, ..., tn-1.
for i = 1, lim - 1 do
local t = select(i, ...)
checkType('complement', i, t, 'table')
for k, v in pairs(t) do
if ret[k] == v then
ret[k] = nil
end
end
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- numKeys
--
-- This takes a table and returns an array containing the numbers of any numerical
-- keys that have non-nil values, sorted in numerical order.
------------------------------------------------------------------------------------
--]]
function p.numKeys(t)
checkType('numKeys', 1, t, 'table')
local isPositiveInteger = p.isPositiveInteger
local nums = {}
for k, v in pairs(t) do
if isPositiveInteger(k) then
nums[#nums + 1] = k
end
end
table.sort(nums)
return nums
end
--[[
------------------------------------------------------------------------------------
-- affixNums
--
-- This takes a table and returns an array containing the numbers of keys with the
-- specified prefix and suffix. For example, for the table
-- {a1 = 'foo', a3 = 'bar', a6 = 'baz'} and the prefix "a", affixNums will
-- return {1, 3, 6}.
------------------------------------------------------------------------------------
--]]
function p.affixNums(t, prefix, suffix)
checkType('affixNums', 1, t, 'table')
checkType('affixNums', 2, prefix, 'string', true)
checkType('affixNums', 3, suffix, 'string', true)
prefix = prefix or ''
suffix = suffix or ''
local pattern = '^' .. prefix .. '([1-9]%d*)' .. suffix .. '$'
local nums = {}
for k, v in pairs(t) do
if type(k) == 'string' then
local num = mw.ustring.match(k, pattern)
if num then
nums[#nums + 1] = tonumber(num)
end
end
end
table.sort(nums)
return nums
end
--[[
------------------------------------------------------------------------------------
-- compressSparseArray
--
-- This takes an array with one or more nil values, and removes the nil values
-- while preserving the order, so that the array can be safely traversed with
-- ipairs.
------------------------------------------------------------------------------------
--]]
function p.compressSparseArray(t)
checkType('compressSparseArray', 1, t, 'table')
local ret = {}
local nums = p.numKeys(t)
for _, num in ipairs(nums) do
ret[#ret + 1] = t[num]
end
return ret
end
--[[
------------------------------------------------------------------------------------
-- sparseIpairs
--
-- This is an iterator for sparse arrays. It can be used like ipairs, but can
-- handle nil values.
------------------------------------------------------------------------------------
--]]
function p.sparseIpairs(t)
checkType('sparseIpairs', 1, t, 'table')
local nums = p.numKeys(t)
local i = 0
local lim = #nums
return function ()
i = i + 1
if i <= lim then
local key = nums[i]
return key, t[key]
end
end
end
--[[
------------------------------------------------------------------------------------
-- size
--
-- This returns the size of a key/value pair table. It will also work on arrays,
-- but for arrays it is more efficient to use the # operator.
------------------------------------------------------------------------------------
--]]
function p.size(t)
checkType('size', 1, t, 'table')
local i = 0
for k in pairs(t) do
i = i + 1
end
return i
end
return p