# secrets:
Generate cryptographically strong pseudo-random numbers suitable for
managing secrets such as account authentication, tokens, and similar.
# secrets.SystemRandom:
Alternate random number generator using sources provided
by the operating system (such as /dev/urandom on Unix or
CryptGenRandom on Windows).
Not available on all systems (see os.urandom() for details).
! Considerações:
Como pode-se notar, a biblioteca utiliza como pool de entropia as fontes fornecidas pelo sistema.
- /dev/urandom :: Unix
- CryptGenRandom :: MS-Windows
"""
# 🚨 Gerador randomico SEGURO
generator = SystemRandom()
print(generator.getrandbits(1024)) # Gera um inteiro de 1024-bits
print(generator.random())
# 🕹 Gerador randomico USUAL do Python
print(random.random())
"""
! Conclusão:
Seguindo as documentações, ambos os geradores utilizam a mesma fonte de entropia.
? Podemos então afirmar que o PRNG built-in do Python é seguro?
"""
item = input("What are you giving away? ")
n = int(input("How many {} are you giving away? ".format(item)))
participants = int(input("How many people are participating? "))
print("To start, participants 0 through {} get one of the {} (for now...)".format(n - 1, item))
bus = list(range(n))
print()
print("List anyone who was gone, end with a blank line...")
s = n
while True:
line = input()
if line == '':
break
print("Participant {} gets one of the {} (for now) then.".format(s, item))
bus[bus.index(int(line))] = s
s += 1
j = n
for e in range(s, participants):
here = input("Is participant {} here (y/n)? ".format(e)) == 'y'
if not here:
continue
j = j + 1
if rng.random() < n / j:
i = rng.randrange(0, n)
print("Participant {} steals one of the {} from participant {}!".format(e, item, bus[i]))
bus[i] = e
else:
print("Nothing happened.")
matrix = [[0.] * len(idx_range) for _ in range(len(col_range))]
for r in range(len(idx_range)):
for c in range(len(col_range)):
matrix[c][r] = round(idx_range[r] + col_range[c], 4)
constant = 1 / sqrt(2 * pi)
alpha = 0.05
conf_level = 1 - alpha
n_trials = 1000
epochs = 100
results = []
for n in range(epochs):
# rand_vals = [rnd.uniform(0, 1) for _ in range(n_trials)]
rand_vals = [rnd.random() for _ in range(n_trials)]
results.append(
sum([1 if i <= conf_level else 0 for i in rand_vals]) / n_trials)
mean(results)
def cls_prop(name, datatype):
"""Class property helper function."""
mask_name = f"__{name}"
@property
def this_prop(self):
return getattr(self, mask_name)
@this_prop.setter
