mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-30 16:31:08 +00:00
added simple chaos machine impl. to hashes/
This commit is contained in:
parent
db3b628904
commit
123b8a30ad
96
hashes/chaos_machine.py
Normal file
96
hashes/chaos_machine.py
Normal file
|
@ -0,0 +1,96 @@
|
|||
"""example of simple chaos machine"""
|
||||
|
||||
# Chaos Machine (K, t, m)
|
||||
K = [0.33, 0.44, 0.55, 0.44, 0.33]; t = 3; m = 5
|
||||
|
||||
# Buffer Space (with Parameters Space)
|
||||
buffer_space, params_space = [], []
|
||||
|
||||
# Machine Time
|
||||
machine_time = 0
|
||||
|
||||
def push(seed):
|
||||
global buffer_space, params_space, machine_time, \
|
||||
K, m, t
|
||||
|
||||
# Choosing Dynamical Systems (All)
|
||||
for key, value in enumerate(buffer_space):
|
||||
# Evolution Parameter
|
||||
e = float(seed / value)
|
||||
|
||||
# Control Theory: Orbit Change
|
||||
value = (buffer_space[(key + 1) % m] + e) % 1
|
||||
|
||||
# Control Theory: Trajectory Change
|
||||
r = (params_space[key] + e) % 1 + 3
|
||||
|
||||
# Modification (Transition Function) - Jumps
|
||||
buffer_space[key] = \
|
||||
round(float(r * value * (1 - value)), 10)
|
||||
params_space[key] = \
|
||||
r # Saving to Parameters Space
|
||||
|
||||
# Logistic Map
|
||||
assert(max(buffer_space) < 1)
|
||||
assert(max(params_space) < 4)
|
||||
|
||||
# Machine Time
|
||||
machine_time += 1
|
||||
|
||||
def pull():
|
||||
global buffer_space, params_space, machine_time, \
|
||||
K, m, t
|
||||
|
||||
# PRNG (Xorshift by George Marsaglia)
|
||||
def xorshift(X, Y):
|
||||
X ^= Y >> 13
|
||||
Y ^= X << 17
|
||||
X ^= Y >> 5
|
||||
return X
|
||||
|
||||
# Choosing Dynamical Systems (Increment)
|
||||
key = machine_time % m
|
||||
|
||||
# Evolution (Time Length)
|
||||
for i in range(0, t):
|
||||
# Variables (Position + Parameters)
|
||||
r = params_space[key]
|
||||
value = buffer_space[key]
|
||||
|
||||
# Modification (Transition Function) - Flow
|
||||
buffer_space[key] = \
|
||||
round(float(r * value * (1 - value)), 10)
|
||||
params_space[key] = \
|
||||
(machine_time * 0.01 + r * 1.01) % 1 + 3
|
||||
|
||||
# Choosing Chaotic Data
|
||||
X = int(buffer_space[(key + 2) % m] * (10 ** 10))
|
||||
Y = int(buffer_space[(key - 2) % m] * (10 ** 10))
|
||||
|
||||
# Machine Time
|
||||
machine_time += 1
|
||||
|
||||
return xorshift(X, Y) % 0xFFFFFFFF
|
||||
|
||||
def reset():
|
||||
global buffer_space, params_space, machine_time, \
|
||||
K, m, t
|
||||
|
||||
buffer_space = K; params_space = [0] * m
|
||||
machine_time = 0
|
||||
|
||||
#######################################
|
||||
|
||||
# Initialization
|
||||
reset()
|
||||
|
||||
# Pushing Data (Input)
|
||||
import random
|
||||
message = random.sample(range(0xFFFFFFFF), 100)
|
||||
for chunk in message:
|
||||
push(chunk)
|
||||
|
||||
# Pulling Data (Output)
|
||||
while True:
|
||||
print("%s" % format(pull(), '#04x'))
|
||||
print(buffer_space); print(params_space)
|
Loading…
Reference in New Issue
Block a user