Benchmark calculatons of functions using fastmath
Code: "func_fastcalculations.py". Programming language: Python DMelt Version 1.8. Last modified: 05/16/2017. License: Pro
https://datamelt.org/code/cache/func_fastcalculations_2010.py
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from jhplot import *
import time


HParam.setFastMath() # apply fast calculations for functions 
                     # comment out this code for full precision (java Math)
print "Fast calculations are set to ", HParam.isFastMath(), " working .."

a=F1D("acos(x)+asin(x)+atan(2*x)+cos(x)")
s=0;
start = time.time()
for i in range (10000000):
       s=s+a.eval(0.99-0.00000001*i)
end = time.time()
print "fast calculation result=",s, " time used (sec)",end - start



HParam.setFastMath(False)
print "Fast calculations are set to ", HParam.isFastMath(),  " working .."

s=0;
start = time.time()
for i in range (10000000):
       s=s+a.eval(0.99-0.00000001*i)
end = time.time()
print "fast calculation result=",s, " time used (sec)",end - start
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