mirror of
https://github.com/ZDoom/raze-gles.git
synced 2024-11-14 08:30:58 +00:00
85 lines
2 KiB
Lua
Executable file
85 lines
2 KiB
Lua
Executable file
#!/usr/bin/env luajit
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local os = require("os")
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local xmath = require("xmath")
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-- XXX: perf regression? (See below PERF_REGRESSION)
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-- No, happens only with Clang build. (Why?)
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local N = os.exit and (arg[1] and tostring(arg[1])) or 1e5 --1e6
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local A,B = {}, {}
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local V,W = {}, {}
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local randvec
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local args = { ... }
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local ourname = args[1]
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if (os.exit) then
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local math = require("math")
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randvec = function()
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return xmath.vec2(math.random(), math.random())
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end
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print("Running stand-alone. ourname: "..tostring(ourname))
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else
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local randgen = require("randgen")
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local s = randgen.new(true)
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-- NOTE: factoring out the inner s:getdbl() into a separate function
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-- reduces performance seriously (about an order of magnitude!)
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randvec = function()
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return xmath.vec2(s:getdbl(), s:getdbl())
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end
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-- Test optional arguments from our_require().
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printf("Running %s embedded with opt arg %s", ourname, tostring(args[2]))
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end
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local t1 = os.clock()
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if (os.exit == nil) then
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local randgen = require("randgen")
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local r = randgen.new(true)
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for i=1,4*2*N do
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-- This is to test the performance compared to a direct
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-- ffiC.rand_jkiss_dbl() call in randgen.lua
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r:getdbl()
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end
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end
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local t2 = os.clock()
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-- init random points and vectors
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for i=1,N do
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A[i] = randvec()
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B[i] = randvec()
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V[i] = randvec()
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W[i] = randvec()
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end
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local t3 = os.clock()
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local v = xmath.vec2(0, 0)
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for i=1,N do
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local intersp = xmath.intersect(A[i],V[i], B[i],W[i], true)
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if (intersp ~= nil) then
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v = v + intersp
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end
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end
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local t4 = os.clock()
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-- x86_64 (embedded): approx. 200 ms (vs. the 100 ms of direct
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-- ffiC.rand_jkiss_dbl()):
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-- x86: 170 ms
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print("getdbl: ".. 1000*(t2-t1))
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print("genpoints: ".. 1000*(t3-t2)) -- x86_64: 500 ms, x86: 700 ms
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print("intersect: ".. 1000*(t4-t3)) -- x86_64, x86: about 35 ms <- thanks to allocation sinking (else, about 500 ms?)
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print("result: ".. tostring(v))
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-- PERF_REGRESSION: with N==1e6 getdbl, genpoints now about 1000ms from EDuke32!
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