Traktor/myenv/Lib/site-packages/sympy/benchmarks/bench_discrete_log.py
2024-05-26 05:12:46 +02:00

84 lines
2.4 KiB
Python

import sys
from time import time
from sympy.ntheory.residue_ntheory import (discrete_log,
_discrete_log_trial_mul, _discrete_log_shanks_steps,
_discrete_log_pollard_rho, _discrete_log_pohlig_hellman)
# Cyclic group (Z/pZ)* with p prime, order p - 1 and generator g
data_set_1 = [
# p, p - 1, g
[191, 190, 19],
[46639, 46638, 6],
[14789363, 14789362, 2],
[4254225211, 4254225210, 2],
[432751500361, 432751500360, 7],
[158505390797053, 158505390797052, 2],
[6575202655312007, 6575202655312006, 5],
[8430573471995353769, 8430573471995353768, 3],
[3938471339744997827267, 3938471339744997827266, 2],
[875260951364705563393093, 875260951364705563393092, 5],
]
# Cyclic sub-groups of (Z/nZ)* with prime order p and generator g
# (n, p are primes and n = 2 * p + 1)
data_set_2 = [
# n, p, g
[227, 113, 3],
[2447, 1223, 2],
[24527, 12263, 2],
[245639, 122819, 2],
[2456747, 1228373, 3],
[24567899, 12283949, 3],
[245679023, 122839511, 2],
[2456791307, 1228395653, 3],
[24567913439, 12283956719, 2],
[245679135407, 122839567703, 2],
[2456791354763, 1228395677381, 3],
[24567913550903, 12283956775451, 2],
[245679135509519, 122839567754759, 2],
]
# Cyclic sub-groups of (Z/nZ)* with smooth order o and generator g
data_set_3 = [
# n, o, g
[2**118, 2**116, 3],
]
def bench_discrete_log(data_set, algo=None):
if algo is None:
f = discrete_log
elif algo == 'trial':
f = _discrete_log_trial_mul
elif algo == 'shanks':
f = _discrete_log_shanks_steps
elif algo == 'rho':
f = _discrete_log_pollard_rho
elif algo == 'ph':
f = _discrete_log_pohlig_hellman
else:
raise ValueError("Argument 'algo' should be one"
" of ('trial', 'shanks', 'rho' or 'ph')")
for i, data in enumerate(data_set):
for j, (n, p, g) in enumerate(data):
t = time()
l = f(n, pow(g, p - 1, n), g, p)
t = time() - t
print('[%02d-%03d] %15.10f' % (i, j, t))
assert l == p - 1
if __name__ == '__main__':
algo = sys.argv[1] \
if len(sys.argv) > 1 else None
data_set = [
data_set_1,
data_set_2,
data_set_3,
]
bench_discrete_log(data_set, algo)