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本模块包含一系列用于处理Lua表的函数。这是个元模块,用于其他Lua模块调用,而不应该由#invoke直接调用。
如需加载任何函数,首先需要加载模块。
localTableTools=require('Module:TableTools')
TableTools.isPositiveInteger(value)
如果value
是正整数,返回true
,否则返回false
。虽然此函数不是应用于表的,但这里仍收录了此函数以决定一个给定的键是否在表的数组部分或哈希部分。
TableTools.isNan(value)
如果value
是NaN值,返回true
,否则返回false
。虽然此函数不是应用于表的,但这里仍收录了此函数以决定一个值能否作为有效的键。(将NaN作为键会报错。)
TableTools.shallowClone(t)
返回表格的副本。返回的值是一个新表,但是所有的子表和函数都会共用。不会绕过元表,但返回的表自身不会带有元表。如需在创建新表时不共享子表格且要复制元表,可以使用mw.clone。
TableTools.removeDuplicates(t)
从数组中返回重复值。此函数仅用于标准的数组,所有非正整数键的一律忽略,第一个nil
后的值也会忽略。(对于包含nil
的数组,可以先使用compressSparseArray。)此函数尝试保护数组的顺序:有重复值时,仅保留最早出现的那个。例如,对于表{5,4,4,3,4,2,2,1}
,removeDuplicates返回{5,4,3,2,1}
。
TableTools.numKeys(t)
接收表t
并以数字顺序返回拥有非nil值的正整数键的数量。例如,对于{'foo',nil,'bar','baz',a='b'}
,numKeys返回{1,3,4}
。
TableTools.affixNums(t,prefix,suffix)
接收表t
并返回包含含有可选前缀prefix
和可选后缀suffix
的键的数量的数组。例如,对于表{a1='foo',a3='bar',a6='baz'}
和前缀'a'
,affixNums返回{1,3,6}
。prefix
和suffix
的值均按字面解释(不使用正则表达式)。
TableTools.numData(t,compress)
假如一个表有像foo1、bar1、foo2、baz2这样的键,返回如下格式的子表的表{[1]={foo='text',bar='text'},[2]={foo='text',baz='text'}}
。不以整数结尾的键存储在命名为other的子表中。compress选项会压缩表以便通过ipairs迭代。
TableTools.compressSparseArray(t)
接收一个带有一个或更多nil值的数组t
,移除所有的nil值,不影响其他值的顺序,以便于安全地通过ipairs遍历。所有非正整数的键都会移除。例如,对于表{1,nil,foo='bar',3,2}
,compressSparseArray返回{1,3,2}
。
TableTools.sparseIpairs(t)
这是用于遍历稀疏数组t
的迭代器函数。类似于ipairs,但会一直迭代直到最高的数字键,而ipairs遇到第一个nil
就可能会终止。忽略所有的非正整数键。
sparseIpairs常用于通用的for
循环。
fori,vinTableTools.sparseIpairs(t)do-- 代码end
注意sparseIpairs会在实现时使用pairs。尽管一些键看上去被忽略,但实际上运行时也会遍历到。
TableTools.size(t)
寻找“键/值对”表的大小。例如,对于{foo='foo',bar='bar'}
,size返回2
。函数也可以用于数组,但是对于数组,使用#操作符更高效。注意,为了查找表的大小,函数会使用pairs函数以遍历所有的表键。
TableTools.keysToList(t,keySort)
返回表的键的列表,并按默认比较函数或者自定义keySort
函数排序,与table.sort
的comp
函数类似。
TableTools.sortedPairs(t,keySort)
迭代表,并使用keysToList
函数来排序键。如果只有数字键,sparseIpairs
可能更高效。
TableTools.isArray(t)
如果表中的所有键都是以1
开始的接连不断的整数,返回true。
TableTools.listToSet(arr)
从表arr
的数组部分创建一个集(set)。用arr
的任何值来索引集都会返回true
。
localset=TableTools.listToSet{"a","b","c"}assert(set["a"]==true)
TableTools.invert(t)
交换数组中的键和值。例如,invert{ "a", "b", "c" }
产生{ a = 1, b = 2, c = 3 }
。
TableTools.deepCopy(orig,noMetatable,alreadySeen)
返回表orig
的副本,类似于mw.clone
,所有非函数的值都会复制,并保留表的唯一性。如果noMetatable
为true
,则不会复制元表(如有)。可以复制由mw.loadData
加载的表。
与mw.clone
类似,但mw.clone
不能够复制由mw.loadData
加载的表,也不允许拒绝复制元表。
TableTools.sparseConcat(t,sep)
按顺序连接被正整数索引的表的所有值。
TableTools.length(t)
查找数组的长度,或者带有像data1、data2这样的键的准数组。使用指数搜索算法以查找长度,以便于尽可能少地使用表查找(table lookup)。
对于准数组,此算法对使用元表的数组有用(例如frame.args)。对于正常数组,只需要使用#操作符,因为#操作符是由C语言实现的,速度更快。
TableTools.inArray(arr,valueToFind)
如果valueToFind
是数组arr
的成员,返回true
,否则返回false
。
-------------------------------------------------------------------------------------- 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. --------------------------------------------------------------------------------------locallibraryUtil=require('libraryUtil')localp={}-- Define often-used variables and functions.localfloor=math.floorlocalinfinity=math.hugelocalcheckType=libraryUtil.checkTypelocalcheckTypeMulti=libraryUtil.checkTypeMulti-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.isPositiveInteger(v)returntype(v)=='number'andv>=1andfloor(v)==vandv<infinityend-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.isNan(v)returntype(v)=='number'andv~=vend-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.shallowClone(t)checkType('shallowClone',1,t,'table')localret={}fork,vinpairs(t)doret[k]=vendreturnretend-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.removeDuplicates(arr)checkType('removeDuplicates',1,arr,'table')localisNan=p.isNanlocalret,exists={},{}for_,vinipairs(arr)doifisNan(v)then-- NaNs can't be table keys, and they are also unique, so we don't need to check existence.ret[#ret+1]=velseifnotexists[v]thenret[#ret+1]=vexists[v]=trueendendendreturnretend-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.numKeys(t)checkType('numKeys',1,t,'table')localisPositiveInteger=p.isPositiveIntegerlocalnums={}forkinpairs(t)doifisPositiveInteger(k)thennums[#nums+1]=kendendtable.sort(nums)returnnumsend-------------------------------------------------------------------------------------- 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}.------------------------------------------------------------------------------------functionp.affixNums(t,prefix,suffix)checkType('affixNums',1,t,'table')checkType('affixNums',2,prefix,'string',true)checkType('affixNums',3,suffix,'string',true)localfunctioncleanPattern(s)-- Cleans a pattern so that the magic characters ()%.[]*+-?^$ are interpreted literally.returns:gsub('([%(%)%%%.%[%]%*%+%-%?%^%$])','%%%1')endprefix=prefixor''suffix=suffixor''prefix=cleanPattern(prefix)suffix=cleanPattern(suffix)localpattern='^'..prefix..'([1-9]%d*)'..suffix..'$'localnums={}forkinpairs(t)doiftype(k)=='string'thenlocalnum=mw.ustring.match(k,pattern)ifnumthennums[#nums+1]=tonumber(num)endendendtable.sort(nums)returnnumsend-------------------------------------------------------------------------------------- numData---- Given a table with keys like {"foo1", "bar1", "foo2", "baz2"}, returns a table-- of subtables in the format-- {[1] = {foo = 'text', bar = 'text'}, [2] = {foo = 'text', baz = 'text'}}.-- Keys that don't end with an integer are stored in a subtable named "other". The-- compress option compresses the table so that it can be iterated over with-- ipairs.------------------------------------------------------------------------------------functionp.numData(t,compress)checkType('numData',1,t,'table')checkType('numData',2,compress,'boolean',true)localret={}fork,vinpairs(t)dolocalprefix,num=mw.ustring.match(tostring(k),'^([^0-9]*)([1-9][0-9]*)$')ifnumthennum=tonumber(num)localsubtable=ret[num]or{}ifprefix==''then-- Positional parameters match the blank string; put them at the start of the subtable instead.prefix=1endsubtable[prefix]=vret[num]=subtableelselocalsubtable=ret.otheror{}subtable[k]=vret.other=subtableendendifcompressthenlocalother=ret.otherret=p.compressSparseArray(ret)ret.other=otherendreturnretend-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.compressSparseArray(t)checkType('compressSparseArray',1,t,'table')localret={}localnums=p.numKeys(t)for_,numinipairs(nums)doret[#ret+1]=t[num]endreturnretend-------------------------------------------------------------------------------------- sparseIpairs---- This is an iterator for sparse arrays. It can be used like ipairs, but can-- handle nil values.------------------------------------------------------------------------------------functionp.sparseIpairs(t)checkType('sparseIpairs',1,t,'table')localnums=p.numKeys(t)locali=0locallim=#numsreturnfunction()i=i+1ifi<=limthenlocalkey=nums[i]returnkey,t[key]elsereturnnil,nilendendend-------------------------------------------------------------------------------------- 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.------------------------------------------------------------------------------------functionp.size(t)checkType('size',1,t,'table')locali=0for_inpairs(t)doi=i+1endreturniendlocalfunctiondefaultKeySort(item1,item2)-- "number" < "string", so numbers will be sorted before strings.localtype1,type2=type(item1),type(item2)iftype1~=type2thenreturntype1<type2elseiftype1=='table'ortype1=='boolean'ortype1=='function'thenreturntostring(item1)<tostring(item2)elsereturnitem1<item2endend-------------------------------------------------------------------------------------- keysToList---- Returns an array of the keys in a table, sorted using either a default-- comparison function or a custom keySort function.------------------------------------------------------------------------------------functionp.keysToList(t,keySort,checked)ifnotcheckedthencheckType('keysToList',1,t,'table')checkTypeMulti('keysToList',2,keySort,{'function','boolean','nil'})endlocalarr={}localindex=1forkinpairs(t)doarr[index]=kindex=index+1endifkeySort~=falsethenkeySort=type(keySort)=='function'andkeySortordefaultKeySorttable.sort(arr,keySort)endreturnarrend-------------------------------------------------------------------------------------- sortedPairs---- Iterates through a table, with the keys sorted using the keysToList function.-- If there are only numerical keys, sparseIpairs is probably more efficient.------------------------------------------------------------------------------------functionp.sortedPairs(t,keySort)checkType('sortedPairs',1,t,'table')checkType('sortedPairs',2,keySort,'function',true)localarr=p.keysToList(t,keySort,true)locali=0returnfunction()i=i+1localkey=arr[i]ifkey~=nilthenreturnkey,t[key]elsereturnnil,nilendendend-------------------------------------------------------------------------------------- isArray---- Returns true if the given value is a table and all keys are consecutive-- integers starting at 1.------------------------------------------------------------------------------------functionp.isArray(v)iftype(v)~='table'thenreturnfalseendlocali=0for_inpairs(v)doi=i+1ifv[i]==nilthenreturnfalseendendreturntrueend-------------------------------------------------------------------------------------- isArrayLike---- Returns true if the given value is iterable and all keys are consecutive-- integers starting at 1.------------------------------------------------------------------------------------functionp.isArrayLike(v)ifnotpcall(pairs,v)thenreturnfalseendlocali=0for_inpairs(v)doi=i+1ifv[i]==nilthenreturnfalseendendreturntrueend-------------------------------------------------------------------------------------- invert---- Transposes the keys and values in an array. For example, {"a", "b", "c"} ->-- {a = 1, b = 2, c = 3}. Duplicates are not supported (result values refer to-- the index of the last duplicate) and NaN values are ignored.------------------------------------------------------------------------------------functionp.invert(arr)checkType("invert",1,arr,"table")localisNan=p.isNanlocalmap={}fori,vinipairs(arr)doifnotisNan(v)thenmap[v]=iendendreturnmapend-------------------------------------------------------------------------------------- listToSet---- Creates a set from the array part of the table. Indexing the set by any of the-- values of the array returns true. For example, {"a", "b", "c"} ->-- {a = true, b = true, c = true}. NaN values are ignored as Lua considers them-- never equal to any value (including other NaNs or even themselves).------------------------------------------------------------------------------------functionp.listToSet(arr)checkType("listToSet",1,arr,"table")localisNan=p.isNanlocalset={}for_,vinipairs(arr)doifnotisNan(v)thenset[v]=trueendendreturnsetend-------------------------------------------------------------------------------------- deepCopy---- Recursive deep copy function. Preserves identities of subtables.------------------------------------------------------------------------------------localfunction_deepCopy(orig,includeMetatable,already_seen)-- Stores copies of tables indexed by the original table.already_seen=already_seenor{}localcopy=already_seen[orig]ifcopy~=nilthenreturncopyendiftype(orig)=='table'thencopy={}fororig_key,orig_valueinpairs(orig)docopy[_deepCopy(orig_key,includeMetatable,already_seen)]=_deepCopy(orig_value,includeMetatable,already_seen)endalready_seen[orig]=copyifincludeMetatablethenlocalmt=getmetatable(orig)ifmt~=nilthenlocalmt_copy=_deepCopy(mt,includeMetatable,already_seen)setmetatable(copy,mt_copy)already_seen[mt]=mt_copyendendelse-- number, string, boolean, etccopy=origendreturncopyendfunctionp.deepCopy(orig,noMetatable,already_seen)checkType("deepCopy",3,already_seen,"table",true)return_deepCopy(orig,notnoMetatable,already_seen)end-------------------------------------------------------------------------------------- sparseConcat---- Concatenates all values in the table that are indexed by a number, in order.-- sparseConcat{a, nil, c, d} => "acd"-- sparseConcat{nil, b, c, d} => "bcd"------------------------------------------------------------------------------------functionp.sparseConcat(t,sep,i,j)localarr={}localarr_i=0for_,vinp.sparseIpairs(t)doarr_i=arr_i+1arr[arr_i]=vendreturntable.concat(arr,sep,i,j)end-------------------------------------------------------------------------------------- length---- Finds the length of an array, or of a quasi-array with keys such as "data1",-- "data2", etc., using an exponential search algorithm. It is similar to the-- operator #, but may return a different value when there are gaps in the array-- portion of the table. Intended to be used on data loaded with mw.loadData. For-- other tables, use #.-- Note: #frame.args in frame object always be set to 0, regardless of the number-- of unnamed template parameters, so use this function for frame.args.------------------------------------------------------------------------------------functionp.length(t,prefix)-- requiring module inline so that [[Module:Exponential search]] which is-- only needed by this one function doesn't get millions of transclusionslocalexpSearch=require("Module:Exponential search")checkType('length',1,t,'table')checkType('length',2,prefix,'string',true)returnexpSearch(function(i)localkeyifprefixthenkey=prefix..tostring(i)elsekey=iendreturnt[key]~=nilend)or0end-------------------------------------------------------------------------------------- inArray---- Returns true if valueToFind is a member of the array, and false otherwise.------------------------------------------------------------------------------------functionp.inArray(arr,valueToFind)checkType("inArray",1,arr,"table")-- if valueToFind is nil, error?for_,vinipairs(arr)doifv==valueToFindthenreturntrueendendreturnfalseendreturnp