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[modified] moderate functional refactor (BREAKING)
- modified functional.reduce signature; takes seed value before function now as this results in much more readable calling code - added filter_inplace and aliased remap as map_inplace to make semantics more clear - rewrote many functions to use numeric for as a tiny speed boost at the cost of library code readability [modified] sequence to be compatible
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functional.lua
184
functional.lua
@ -26,61 +26,86 @@ 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 functional.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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local n = #t
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for i = 1, n do
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local result = f(t[i], i)
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if result ~= nil then
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return result
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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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-- reduce({1, 2, 3}, 0, f) -> f(f(f(0, 1), 2), 3)
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-- (but performed iteratively, so no stack smashing)
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function functional.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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function functional.reduce(t, seed, f)
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local n = #t
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for i = 1, n do
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seed = f(seed, t[i], i)
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end
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return o
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return seed
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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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-- (automatically drops any nils to keep a sequence, so can be used to simultaneously map and filter)
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function functional.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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local result = {}
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local n = #t
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for i = 1, n do
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local v = f(t[i], i)
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if v ~= nil then
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table.insert(result, v)
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end
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end
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return r
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return result
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end
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--maps a sequence inplace, modifying it {a, b, c} -> {f(a), f(b), f(c)}
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-- (automatically drops any nils, which can be used to simultaneously map and filter,
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-- but this results in a linear table.remove so "careful" for big working sets)
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function functional.remap(t, f)
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local i = 1
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while i <= #t do
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local mapped = f(t[i])
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if mapped ~= nil then
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t[i] = mapped
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i = i + 1
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else
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table.remove(t, i)
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-- (automatically drops any nils, which can be used to simultaneously map and filter)
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function functional.map_inplace(t, f)
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local write_i = 0
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local n = #t
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for i = 1, n do
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local v = f(t[i], i)
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if v ~= nil then
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write_i = write_i + 1
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t[write_i] = v
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end
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if i ~= write_i then
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t[i] = nil
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end
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end
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return t
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end
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--alias
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functional.remap = functional.map_inplace
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--filters a sequence
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-- returns a table containing items where f(v) returns truthy
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-- returns a table containing items where f(v, i) returns truthy
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function functional.filter(t, f)
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local r = {}
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for i,v in ipairs(t) do
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local result = {}
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local n = #t
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for i = 1, n do
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if f(t[i], i) then
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table.insert(result, v)
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end
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end
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return result
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end
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--filters a sequence in place, modifying it
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function functional.filter_inplace(t, f)
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local write_i = 1
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local n = #t
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for i = 1, n do
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local v = t[i]
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if f(v, i) then
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table.insert(r, v)
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t[write_i] = v
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write_i = write_i + 1
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end
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if i ~= write_i then
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t[i] = nil
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end
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end
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return r
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@ -90,13 +115,14 @@ end
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-- returns a table containing items where f(v) returns falsey
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-- nil results are included so that this is an exact complement of filter; consider using partition if you need both!
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function functional.remove_if(t, f)
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local r = {}
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for i, v in ipairs(t) do
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if not f(v, i) then
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table.insert(r, v)
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local result = {}
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local n = #t
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for i = 1, n do
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if not f(t[i], i) then
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table.insert(result, v)
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end
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end
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return r
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return result
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end
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--partitions a sequence into two, based on filter criteria
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@ -104,8 +130,9 @@ end
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function functional.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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local n = #t
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for i = 1, n do
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if f(t[i], 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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@ -115,11 +142,13 @@ function functional.partition(t, f)
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end
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-- returns a table where the elements in t are grouped into sequential tables by the result of f on each element.
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-- more general than partition, but requires you to know your groups ahead of time (or use numeric grouping) if you want to avoid pairs!
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-- more general than partition, but requires you to know your groups ahead of time
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-- (or use numeric grouping and pre-seed) if you want to avoid pairs!
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function functional.group_by(t, f)
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local result = {}
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for i, v in ipairs(t) do
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local group = f(v)
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local n = #t
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for i = 1, n do
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local group = f(t[i], i)
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if result[group] == nil then
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result[group] = {}
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end
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@ -154,26 +183,26 @@ end
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--basically a map on numeric values from 1 to count
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--nil values are omitted in the result, as for map
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function functional.generate(count, f)
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local r = {}
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local result = {}
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for i = 1, count do
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local v = f(i)
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if v ~= nil then
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table.insert(r, v)
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table.insert(result, v)
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end
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end
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return r
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return result
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end
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--2d version of the above
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--note: ends up with a 1d table;
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-- if you need a 2d table, you should nest 1d generate calls
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function functional.generate_2d(width, height, f)
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local r = {}
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local result = {}
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for y = 1, height do
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for x = 1, width do
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local v = f(x, y)
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if v ~= nil then
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table.insert(r, v)
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table.insert(result, v)
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end
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end
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end
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@ -186,8 +215,9 @@ end
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--true if any element of the table matches f
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function functional.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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local n = #t
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for i = 1, n do
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if f(t[i], i) then
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return true
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end
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end
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@ -196,8 +226,9 @@ end
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--true if no element of the table matches f
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function functional.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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local n = #t
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for i = 1, n do
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if f(t[i], i) then
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return false
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end
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end
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@ -206,8 +237,9 @@ end
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--true if all elements of the table match f
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function functional.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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local n = #t
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for i = 1, n do
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if not f(t[i], i) then
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return false
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end
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end
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@ -217,8 +249,9 @@ end
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--counts the elements of t that match f
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function functional.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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local n = #t
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for i = 1, n do
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if f(t[i], i) then
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c = c + 1
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end
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end
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@ -227,8 +260,9 @@ end
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--true if the table contains element e
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function functional.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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local n = #t
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for i = 1, n do
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if t[i] == e then
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return true
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end
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end
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@ -237,9 +271,12 @@ end
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--return the numeric sum of all elements of t
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function functional.sum(t)
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return functional.reduce(t, function(a, b)
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return a + b
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end, 0)
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local c = 0
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local n = #t
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for i = 1, n do
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c = c + t[i]
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end
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return c
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end
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--return the numeric mean of all elements of t
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@ -256,14 +293,15 @@ end
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-- (would perhaps more correctly be math.huge, -math.huge
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-- but that tends to be surprising/annoying in practice)
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function functional.minmax(t)
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local max, min
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for i,v in ipairs(t) do
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min = not min and v or math.min(min, v)
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max = not max and v or math.max(max, v)
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local n = #t
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if n == 0 then
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return 0, 0
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end
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if min == nil then
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min = 0
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max = 0
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local max = t[1]
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local min = t[1]
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for i = 2, n do
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min = math.min(min, v)
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max = math.max(max, v)
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end
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return min, max
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end
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@ -285,7 +323,9 @@ end
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function functional.find_min(t, f)
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local current = nil
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local current_min = math.huge
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for i, e in ipairs(t) do
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local n = #t
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for i = 1, n do
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local e = t[i]
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local v = f(e, i)
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if v and v < current_min then
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current_min = v
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@ -300,7 +340,9 @@ end
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function functional.find_max(t, f)
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local current = nil
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local current_max = -math.huge
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for i, e in ipairs(t) do
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local n = #t
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for i = 1, n do
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local e = t[i]
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local v = f(e, i)
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if v and v > current_max then
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current_max = v
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@ -314,7 +356,7 @@ end
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functional.find_best = functional.find_max
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--return the element of the table that results in the value nearest to the passed value
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--todo: optimise as this generates a closure each time
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--todo: optimise, inline as this generates a closure each time
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function functional.find_nearest(t, f, v)
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return functional.find_min(t, function(e)
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return math.abs(f(e) - v)
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@ -323,7 +365,9 @@ end
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--return the first element of the table that results in a true filter
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function functional.find_match(t, f)
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for i,v in ipairs(t) do
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local n = #t
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for i = 1, n do
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local v = t[i]
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if f(v) then
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return v
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end
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14
sequence.lua
14
sequence.lua
@ -58,22 +58,28 @@ function sequence:foreach(f)
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return functional.foreach(self, f)
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end
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function sequence:reduce(f, o)
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return functional.reduce(self, f, o)
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function sequence:reduce(seed, f)
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return functional.reduce(self, seed, f)
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end
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function sequence:map(f)
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return sequence(functional.map(self, f))
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end
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function sequence:remap(f)
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return functional.remap(self, f)
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function sequence:map_inplace(f)
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return sequence(functional.map_inplace(self, f))
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end
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sequence.remap = sequence.map_inplace
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function sequence:filter(f)
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return sequence(functional.filter(self, f))
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end
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function sequence:filter_inplace(f)
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return sequence(functional.filter_inplace(self, f))
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end
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function sequence:remove_if(f)
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return sequence(functional.remove_if(self, f))
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end
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