mtcontrib/farming
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separate food /non-food items from crop files, tidy code

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tenplus1
2024-08-11 15:38:55 +01:00
parent cdac09a8f4
commit a9a1b720a3
57 changed files with 3691 additions and 3271 deletions
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35
statistics.lua
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@ -1,12 +1,11 @@
local statistics = {}
local ROOT_2 = math.sqrt(2.0)
-- Approximations for erf(x) and erfInv(x) from
-- https://en.wikipedia.org/wiki/Error_function
local statistics = {}
local ROOT_2 = math.sqrt(2.0)
local erf
local erf_inv
local A = 8 * (math.pi - 3.0) / (3.0 * math.pi * (4.0 - math.pi))
local B = 4.0 / math.pi
local C = 2.0 / (math.pi * A)
@ -114,17 +113,16 @@ poisson = function(lambda, max)
end
end
-- Error function.
statistics.erf = erf
-- Inverse error function.
statistics.erf_inv = erf_inv
--- Standard normal distribution function (mean 0, standard deviation 1).
--
-- @return
-- Any real number (actually between -3.0 and 3.0).
-- @return - Any real number (actually between -3.0 and 3.0).
statistics.std_normal = function()
@ -139,15 +137,10 @@ statistics.std_normal = function()
return std_normal(u)
end
--- Standard normal distribution function (mean 0, standard deviation 1).
--
-- @param mu
-- The distribution mean.
-- @param sigma
-- The distribution standard deviation.
-- @return
-- Any real number (actually between -3*sigma and 3*sigma).
-- @param mu - The distribution mean.
-- @param sigma - The distribution standard deviation.
-- @return - Any real number (actually between -3*sigma and 3*sigma).
statistics.normal = function(mu, sigma)
@ -162,15 +155,10 @@ statistics.normal = function(mu, sigma)
return mu + sigma * std_normal(u)
end
--- Poisson distribution function.
--
-- @param lambda
-- The distribution mean and variance.
-- @param max
-- The distribution maximum.
-- @return
-- An integer between 0 and max (both inclusive).
-- @param lambda - The distribution mean and variance.
-- @param max - The distribution maximum.
-- @return - An integer between 0 and max (both inclusive).
statistics.poisson = function(lambda, max)
@ -181,5 +169,4 @@ statistics.poisson = function(lambda, max)
return poisson(lambda, max)
end
return statistics