Testing the performance of different hashing algorithms for hashing a numpy array

hashlib_timeit.py

import hashlib

funcs = [
    hashlib.blake2b,
    hashlib.blake2s,
    hashlib.md5,
    hashlib.sha1,
    hashlib.sha224,
    hashlib.sha256,
    hashlib.sha256,
    hashlib.sha384
]

for func in funcs:
    %timeit -n100 func(np.ones((1024, 1024))).hexdigest()
    
# 16.2 ms ± 372 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 19.3 ms ± 70.6 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 14.1 ms ± 52.6 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 10.2 ms ± 47.7 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 21.9 ms ± 392 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 22.3 ms ± 452 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 21.7 ms ± 204 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
# 15 ms ± 36.7 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)