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### builtin µs timing code made platform independent (Python[23] / Pico MicroPython)

Posted: Wed May 12, 2021 8:23 am
See here for details:
https://www.raspberrypi.org/forums/view ... 8#p1863938

Summary at end:
This is first time that I eliminated platform dependency for using builtin functions from different platforms without performance loss, hopefully this technique will be useful for others as well.

This code runs on Python[23] as well as Pico Micropython, using builtin (fast, single digit µs duration) functions "timeit.default_timer()"/"time.ticks_us()":

Code: Select all

``````def tst(N, pF=True):
for n in range(N-9, 1+N):
start=default_timer()
r=F(n)
stop=default_timer()
r2=Ffast(n)
stop2=default_timer()
print(r if pF else len(str(r)), delta(start,stop), r==r2, delta(stop,stop2))

print(delta(default_timer(),default_timer()))``````

Pico MicroPython output for Fibonacci numbers F(9991)..F(10000) with more than 2,000(!) decimal digits -- 1.2 seconds for default linear addition algorithm, compared to only 70ms for fast algorithm with only log(n) recursive calls:

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``````>>> fib.tst(10000,False)
2088 1210229 True 69978
2088 1221406 True 71887
2089 1051971 True 69788
2089 1280082 True 75597
2089 1102442 True 68994
2089 1166174 True 69171
2089 1241290 True 70132
2090 1076333 True 69608
2090 1424052 True 75134
2090 978265 True 69157
>>> ``````

P.S:
This is how it is done:

Code: Select all

``````from sys import platform

if platform=='rp2':
from time import ticks_us as default_timer
def delta(t0,t1):
return t1-t0
else:
from timeit import default_timer
def delta(t0,t1):
return int(1000000*(t1-t0)+0.5)``````