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...preprocess("{{int:lang}}") -- I don't know of any other way to get the user's language... for i, v in pairs( args ) do

function mt.__newindex(t, k, v) rawset(t, k, v)

for k, v in pairs(args) do v = trim(v)

for k, v in pairs(origArgs) do if v == '_BLANK' then

for k, v in pairs(frame.args) do dataset = mw.text.trim(v)

-- Generate four different tidyVal functions, so that we don't have to check the for k,v in pairs(options.translate) do

--[[--------------------------< I S _ V A L I D _ A C C E S S D A T E >---------------------------------------- ..._ts < tomorrow_ts then -- Wikipedia start date <= accessdate < tomorrow's date

for i, v in ipairs(t1) do vals[v] = true

maintenance_cats = {}; -- for categorizing citations that aren't erroneous per se, but could use a little work for n,v in ipairs( haystack ) do

maintenance_cats = {}; -- for categorizing citations that aren't erroneous per se, but could use a little work for n,v in ipairs( haystack ) do