raze-gles/polymer/eduke32/source/lunatic/test/test_geom.lua

74 lines
1.6 KiB
Lua
Executable File

#!/usr/bin/env luajit
local os = require("os")
local geom = require("geom")
local N = os.exit and (arg[1] and tostring(arg[1])) or 1e6
local A,B = {}, {}
local V,W = {}, {}
local randvec
if (os.exit) then
local math = require("math")
randvec = function()
return geom.vec2(math.random(), math.random())
end
else
local randgen = require("randgen")
local s = randgen.new(true)
-- NOTE: factoring out the inner s:getdbl() into a separate function
-- reduces performance seriously (about an order of magnitude!)
randvec = function()
return geom.vec2(s:getdbl(), s:getdbl())
end
end
local t1 = os.clock()
if (os.exit == nil) then
local randgen = require("randgen")
local r = randgen.new(true)
for i=1,4*2*N do
-- This is to test the performance compared to a direct
-- ffiC.rand_jkiss_dbl() call in randgen.lua
r:getdbl()
end
end
local t2 = os.clock()
-- init random points and vectors
for i=1,N do
A[i] = randvec()
B[i] = randvec()
V[i] = randvec()
W[i] = randvec()
end
local t3 = os.clock()
local v = geom.vec2(0, 0)
for i=1,N do
local intersp = geom.intersect(A[i],V[i], B[i],W[i], true)
if (intersp ~= nil) then
v = v + intersp
end
end
local t4 = os.clock()
-- x86_64 (embedded): approx. 200 ms (vs. the 100 ms of direct
-- ffiC.rand_jkiss_dbl()):
-- x86: 170 ms
print(1000*(t2-t1))
print(1000*(t3-t2)) -- x86_64: 500 ms, x86: 700 ms
print(1000*(t4-t3)) -- x86_64, x86: about 35 ms <- thanks to allocation sinking (else, about 500 ms?)
print(v)