Measure execution time of hashing functions from hashlib in Python3

hashlib_timing.py

"""Time hashlib hashing functions.

Useful to help decide which one to use if time is of the escence. I still recommend
blake2 or sha384.


Copyright © 2020 HacKan <@hackancuba>
This program is free software. It comes without any warranty, to
the extent permitted by applicable law. You can redistribute it
and/or modify it under the terms of the Do What The Fuck You Want
To Public License, Version 2, as published by Sam Hocevar. See
http://www.wtfpl.net/ for more details.
"""

import hashlib
import random
import string
from statistics import mean


print('Timing hashing functions from hashlib, this can take a while (maybe more',
      'than 5 minutes!)...')
hashing_functions = hashlib.algorithms_available
data = ''.join(random.choice(string.ascii_letters) for x in range(1024*1024)).encode()

times = {}
for hashing_function in hashing_functions: 
    if not hasattr(hashlib, hashing_function): 
        print(hashing_function, 'not available')
        continue

    time = timeit.repeat(f'hashlib.{hashing_function}(data)', number=1000,
                         setup=f'import hashlib; data={data}')
    times[hashing_function] = mean(time)
    print(hashing_function, time)

print()
print('From fastest to slowest:')
times_sorted = sorted(times.items(), key = lambda item: item[1])
baseline_time = None
for hashing_function, time in times_sorted:
    if not baseline_time:
        baseline_time = time
        percentage = 100
    else:
        percentage = time * 100 / baseline_time
    padding_ammount = 20 - len(hashing_function)
    padding = padding_ammount * ' '
    print(f'{hashing_function}{padding}{percentage:.2f}%')