Python Time Module - Perf Counter
It is important to have a high-resolution monotonic clock for measuring performance.
Determining the best clock data source requires platform-specific knowledge, which Python provides in perf_counter().
import hashlib
import time
# perf_counter determines the best source of clock
# to measure performance
data = open(__file__, 'rb').read()
loop_start = time.perf_counter()
for i in range(5):
iter_start = time.perf_counter()
h = hashlib.sha1()
for i in range(300000):
h.update(data)
chsum = h.digest()
now = time.perf_counter()
loop_elapsed = now - loop_start
iter_elapsed = now - iter_start
print(time.ctime(),':{:0.3f} {:0.3f}'.format(iter_elapsed,loop_elapsed))
# epoch for perf_counter() is undefined as it is
# meant to be used for comparing and computing values
This is part of series of articles from Python Module of the Week