--[[ extra mathematical functions ]] local mathx = setmetatable({}, { __index = math, }) --wrap v around range [lo, hi) function mathx.wrap(v, lo, hi) return (v - lo) % (hi - lo) + lo end --wrap i around the indices of t function mathx.wrap_index(i, t) return math.floor(mathx.wrap(i, 1, #t + 1)) end --clamp v to range [lo, hi] function mathx.clamp(v, lo, hi) return math.max(lo, math.min(v, hi)) end --clamp v to range [0, 1] function mathx.clamp01(v) return mathx.clamp(v, 0, 1) end --round v to nearest whole, away from zero function mathx.round(v) if v < 0 then return math.ceil(v - 0.5) end return math.floor(v + 0.5) end --round v to one-in x -- (eg x = 2, v rounded to increments of 0.5) function mathx.to_one_in(v, x) return mathx.round(v * x) / x end --round v to a given decimal precision function mathx.to_precision(v, decimal_points) return mathx.to_one_in(v, math.pow(10, decimal_points)) end --0, 1, -1 sign of a scalar --todo: investigate if a branchless or `/abs` approach is faster in general case function mathx.sign(v) if v < 0 then return -1 end if v > 0 then return 1 end return 0 end --linear interpolation between a and b function mathx.lerp(a, b, t) return a * (1.0 - t) + b * t end --linear interpolation with a minimum "final step" distance --useful for making sure dynamic lerps do actually reach their final destination function mathx.lerp_eps(a, b, t, eps) local v = mathx.lerp(a, b, t) if math.abs(v - b) < eps then v = b end return v end --bilinear interpolation between 4 samples function mathx.bilerp(a, b, c, d, u, v) return mathx.lerp( mathx.lerp(a, b, u), mathx.lerp(c, d, u), v ) end --easing curves --(generally only "safe" for 0-1 range, see mathx.clamp01) --classic smoothstep function mathx.smoothstep(f) return f * f * (3 - 2 * f) end --classic smootherstep; zero 2nd order derivatives at 0 and 1 function mathx.smootherstep(f) return f * f * f * (f * (f * 6 - 15) + 10) end --pingpong from 0 to 1 and back again function mathx.pingpong(f) return 1 - math.abs(f - 0.5) * 2 end --quadratic ease in function mathx.ease_in(f) return f * f end --quadratic ease out function mathx.ease_out(f) local oneminus = (1 - f) return 1 - oneminus * oneminus end --quadratic ease in and out --(a lot like smoothstep) function mathx.ease_inout(f) if f < 0.5 then return f * f * 2 end local oneminus = (1 - f) return 1 - 2 * oneminus * oneminus end --branchless but imperfect quartic in/out --either smooth or smootherstep are usually a better alternative function mathx.ease_inout_branchless(f) local halfsquared = f * f / 2 return halfsquared * (1 - halfsquared) * 4 end --todo: more easings - back, bounce, elastic --(internal; use a provided random generator object, or not) local function _random(_r, ...) if _r then return _r:random(...) end if love then return love.math.random(...) end return math.random(...) end --return a random sign function mathx.random_sign(_r) return _random(_r) < 0.5 and -1 or 1 end --return a random value between two numbers (continuous) function mathx.random_lerp(min, max, _r) return mathx.lerp(min, max, _random(_r)) end --nan checking function mathx.isnan(v) return v ~= v end --angle handling stuff --superior constant handy for expressing things in turns mathx.tau = math.pi * 2 --normalise angle onto the interval [-math.pi, math.pi) --so each angle only has a single value representing it function mathx.normalise_angle(a) return mathx.wrap(a, -math.pi, math.pi) end --alias for americans mathx.normalize_angle = mathx.normalise_angle --get the normalised difference between two angles function mathx.angle_difference(a, b) a = mathx.normalise_angle(a) b = mathx.normalise_angle(b) return mathx.normalise_angle(b - a) end --mathx.lerp equivalent for angles function mathx.lerp_angle(a, b, t) local dif = mathx.angle_difference(a, b) return mathx.normalise_angle(a + dif * t) end --mathx.lerp_eps equivalent for angles function mathx.lerp_angle_eps(a, b, t, eps) --short circuit to avoid having to wrap so many angles if a == b then return a end --same logic as lerp_eps local v = mathx.lerp_angle(a, b, t) if math.abs(mathx.angle_difference(v, b)) < eps then v = b end return v end --geometric functions standalone/"unpacked" components and multi-return --consider using vec2 if you need anything complex! --rotate a point around the origin by an angle function mathx.rotate(x, y, r) local s = math.sin(r) local c = math.cos(r) return c * x - s * y, s * x + c * y end --get the length of a vector from the origin function mathx.length(x, y) return math.sqrt(x * x + y * y) end --get the distance between two points function mathx.distance(x1, y1, x2, y2) local dx = x1 - x2 local dy = y1 - y2 return mathx.length(dx, dy) end return mathx