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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-10 21:30:40 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-10 21:30:40 +0000
commit133a45c109da5310add55824db21af5239951f93 (patch)
treeba6ac4c0a950a0dda56451944315d66409923918 /test/lua/pcall_test.lua
parentInitial commit. (diff)
downloadrspamd-133a45c109da5310add55824db21af5239951f93.tar.xz
rspamd-133a45c109da5310add55824db21af5239951f93.zip
Adding upstream version 3.8.1.upstream/3.8.1upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'test/lua/pcall_test.lua')
-rw-r--r--test/lua/pcall_test.lua45
1 files changed, 45 insertions, 0 deletions
diff --git a/test/lua/pcall_test.lua b/test/lua/pcall_test.lua
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+++ b/test/lua/pcall_test.lua
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+--[[ https://en.wikipedia.org/wiki/Normal_distribution ]]
+
+-- The Box–Muller method
+local function gaussian(mean, variance)
+ local U = math.random()
+ local V = math.random()
+ return math.sqrt(-2.0 * variance * math.log(U)) *
+ math.cos(2.0 * math.pi * V) + mean
+end
+
+local function mean(t)
+ local sum = 0
+ local count = #t
+ for i = 1, count do
+ sum = sum + t[i]
+ end
+ return sum / count
+end
+
+local function std(t, mean)
+ local squares = 0.0
+ for i = 1, #t do
+ local deviation = math.abs(mean - t[i])
+ squares = squares + deviation * deviation
+ end
+ local variance = squares / #t
+ return math.sqrt(variance)
+end
+
+local function do_the_call()
+ local t = {}
+ local mu = 34.0
+ local sigma = 10.0
+
+ for i = 1, 5 do
+ table.insert(t, gaussian(mu, sigma))
+ end
+
+ return string.format("Got mean: %1.5f, mu: %1.5f\nstd deviance:%1.5f, expected: %1.5f",
+ mean(t), mu,
+ std(t, mu), math.sqrt(sigma))
+end
+
+math.randomseed(os.time())
+return do_the_call