mirror of
https://github.com/1bardesign/batteries.git
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408 lines
8.2 KiB
Lua
408 lines
8.2 KiB
Lua
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--[[
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functional programming facilities
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]]
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--collect all keys of a table into a sequence
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function table.keys(t)
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local r = {}
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for k,v in pairs(t) do
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table.insert(r, k)
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end
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return r
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end
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--collect all values of a table into a sequence
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--(shallow copy if it's already a sequence)
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function table.values(t)
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local r = sequence:new()
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for k,v in pairs(t) do
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table.insert(r, v)
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end
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return r
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end
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--simple sequential iteration, f is called for all elements of t
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--f can return non-nil to break the loop (and return the value)
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function table.foreach(t, f)
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for i,v in ipairs(t) do
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local r = f(v, i)
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if r ~= nil then
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return r
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end
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end
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end
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--performs a left to right reduction of t using f, with o as the initial value
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-- reduce({1, 2, 3}, f, 0) -> f(f(f(0, 1), 2), 3)
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-- (but performed iteratively, so no stack smashing)
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function table.reduce(t, f, o)
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for i,v in ipairs(t) do
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o = f(o, v)
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end
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return o
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end
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--maps a sequence {a, b, c} -> {f(a), f(b), f(c)}
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-- (automatically drops any nils due to table.insert, which can be used to simultaneously map and filter)
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function table.map(t, f)
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local r = {}
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for i,v in ipairs(t) do
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local mapped = f(v, i)
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if mapped ~= nil then
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table.insert(r, mapped)
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end
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end
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return r
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end
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--filters a sequence
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function table.filter(t, f)
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local r = {}
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for i,v in ipairs(t) do
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if f(v, i) then
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table.insert(r, v)
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end
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end
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return r
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end
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--partitions a sequence based on filter criteria
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function table.partition(t, f)
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local a = {}
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local b = {}
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for i,v in ipairs(t) do
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if f(v, i) then
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table.insert(a, v)
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else
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table.insert(b, v)
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end
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end
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return a, b
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end
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--zips two sequences together into a new table, based on another function
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--iteration limited by min(#t1, #t2)
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--function receives arguments (t1, t2, i)
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--nil results ignored
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function table.zip(t1, t2, f)
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local ret = {}
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local limit = math.min(#t2, #t2)
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for i=1, limit do
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local v1 = t1[i]
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local v2 = t2[i]
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local zipped = f(v1, v2, i)
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if zipped ~= nil then
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table.insert(ret, zipped)
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end
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end
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return ret
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end
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--return a copy of a sequence with all duplicates removed
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-- causes a little "extra" gc churn; one table and one closure
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-- as well as the copied deduped table
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function table.dedupe(t)
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local seen = {}
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return table.filter(t, function(v)
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if seen[v] then
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return false
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end
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seen[v] = true
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return true
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end)
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end
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--append sequence t2 into t1, modifying t1
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function table.append_inplace(t1, t2)
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table.foreach(t2, function(v)
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table.insert(t1, v)
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end)
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return t1
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end
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--return a new sequence with the elements of both t1 and t2
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function table.append(t1, t2)
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local r = {}
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append_inplace(r, t1)
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append_inplace(r, t2)
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return r
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end
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--copy a table
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-- if deep specified:
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-- calls copy method of member directly if it exists
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-- and recurses into all "normal" table children
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function table.copy(t, deep)
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local r = {}
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for k,v in pairs(t) do
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if deep and type(v) == "table" then
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if type(v.copy) == "function" then
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v = v:copy()
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else
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v = table.copy(v, deep)
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end
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end
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r[k] = v
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end
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return r
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end
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-----------------------------------------------------------
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--common queries and reductions
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-----------------------------------------------------------
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--true if any element of the table matches f
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function table.any(t, f)
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for i,v in ipairs(t) do
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if f(v) then
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return true
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end
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end
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return false
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end
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--true if no element of the table matches f
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function table.none(t, f)
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for i,v in ipairs(t) do
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if f(v) then
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return false
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end
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end
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return true
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end
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--true if all elements of the table match f
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function table.all(t, f)
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for i,v in ipairs(t) do
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if not f(v) then
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return false
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end
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end
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return true
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end
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--counts the elements of t that match f
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function table.count(t, f)
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local c = 0
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for i,v in ipairs(t) do
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if f(v) then
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c = c + 1
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end
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end
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return c
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end
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--true if the table contains element e
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function table.contains(t, e)
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for i, v in ipairs(t) do
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if v == e then
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return true
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end
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end
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return false
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end
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--return the numeric sum of all elements of t
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function table.sum(t)
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return table.reduce(t, function(a, b)
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return a + b
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end, 0)
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end
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--return the numeric mean of all elements of t
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function table.mean(t)
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local len = #t
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if len == 0 then
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return 0
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end
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return table.sum(t) / len
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end
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--return the minimum and maximum of t in one pass
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function table.minmax(t)
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local a = table.reduce(t, function(a, b)
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a.min = a.min and math.min(a.min, b) or b
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a.max = a.max and math.max(a.max, b) or b
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return a
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end, {})
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if a.min == nil then
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a.min = 0
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a.max = 0
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end
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return a.min, a.max
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end
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function table.max(t)
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local min, max = table.minmax(t)
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return max
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end
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function table.min(t)
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local min, max = table.minmax(t)
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return min
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end
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--return the element of the table that results in the greatest numeric value
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--(function receives element and key respectively, table evaluated in pairs order)
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function table.find_best(t, f)
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local current = nil
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local current_best = -math.huge
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for k,e in pairs(t) do
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local v = f(e, k)
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if v > current_best then
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current_best = v
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current = e
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end
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end
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return current
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end
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--return the element of the table that results in the value nearest to the passed value
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function table.find_nearest(t, f, v)
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return table.find_best(t, function(e)
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return -math.abs(f(e) - v)
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end)
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end
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--return the first element of the table that results in a true filter
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function table.find_match(t, f)
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for i,v in ipairs(t) do
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if f(v) then
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return v
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end
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end
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return nil
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end
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-----------------------------------------------------------
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--sequence - functional wrapper for ordered tables
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-----------------------------------------------------------
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sequence = {}
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sequence.mt = {__index = sequence}
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--upgrade a table into a functional sequence
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function sequence:new(t)
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return setmetatable(t or {}, sequence.mt)
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end
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--import table functions to sequence as-is
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sequence.insert = table.insert
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sequence.remove = table.remove
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sequence.concat = table.concat
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sequence.join = table.concat --alias
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--sorting
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sequence.sort = table.stable_sort --(default stable)
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sequence.stable_sort = table.stable_sort
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sequence.unstable_sort = table.sort
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--import functional interface to sequence
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function sequence:keys()
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return sequence:new(table.keys(self))
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end
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function sequence:values()
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return sequence:new(table.values(self))
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end
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function sequence:foreach(f)
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return table.foreach(self, f)
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end
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function sequence:reduce(f, o)
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return table.foreach(self, f, o)
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end
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function sequence:map(f)
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return sequence:new(table.map(self, f))
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end
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function sequence:filter(f)
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return sequence:new(table.filter(self, f))
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end
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function sequence:partition(f)
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local a, b = table.partition(self, f)
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return sequence:new(a), sequence:new(b)
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end
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function sequence:zip(other, f)
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return sequence:new(table.zip(self, other, f))
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end
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function sequence:dedupe()
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return table.dedupe(self)
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end
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function sequence:append_inplace(other)
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return table.append_inplace(self, other)
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end
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function sequence:append(other)
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return sequence:new():append_inplace(self):append_inplace(other)
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end
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function sequence:copy(deep)
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return sequence:new(table.copy(self, deep))
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end
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--
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sequence.any = table.any
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sequence.none = table.none
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sequence.all = table.all
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sequence.count = table.count
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sequence.contains = table.contains
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sequence.sum = table.sum
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sequence.mean = table.mean
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sequence.minmax = table.minmax
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sequence.max = table.max
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sequence.min = table.min
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sequence.find_best = table.find_best
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sequence.find_nearest = table.find_nearest
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sequence.find_match = table.find_match
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--generate a mapping from unique values to plain numbers
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--useful for arbitrarily ordering things that don't have
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--a natural ordering implied (eg textures for batching)
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unique_mapping = {}
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unique_mapping.mt = {
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__index = unique_mapping,
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__mode = "kv", --weak refs
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}
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--(used as storage for non-weak data)
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local _MAP_VARS = setmetatable({}, {
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__mode = "k" --only keys are weak
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})
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function unique_mapping:new()
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local r = setmetatable({}, unique_mapping.mt)
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--set up the actual vars
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_MAP_VARS[r] = {
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current_index = 0,
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}
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return r
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end
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function unique_mapping:_increment()
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local vars = _MAP_VARS[self]
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vars.current_index = vars.current_index + 1
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return vars.current_index
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end
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function unique_mapping:map(value)
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local val = self[value]
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if val then
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return val
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end
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local i = self:_increment()
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self[value] = i
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return i
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end
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