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* ci(pre-commit): Add pep8-naming to `pre-commit` hooks (#7038) * refactor: Fix naming conventions (#7038) * Update arithmetic_analysis/lu_decomposition.py Co-authored-by: Christian Clauss <cclauss@me.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * refactor(lu_decomposition): Replace `NDArray` with `ArrayLike` (#7038) * chore: Fix naming conventions in doctests (#7038) * fix: Temporarily disable project euler problem 104 (#7069) * chore: Fix naming conventions in doctests (#7038) Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
103 lines
2.4 KiB
Python
103 lines
2.4 KiB
Python
"""example of simple chaos machine"""
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# Chaos Machine (K, t, m)
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K = [0.33, 0.44, 0.55, 0.44, 0.33]
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t = 3
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m = 5
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# Buffer Space (with Parameters Space)
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buffer_space: list[float] = []
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params_space: list[float] = []
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# Machine Time
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machine_time = 0
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def push(seed):
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global buffer_space, params_space, machine_time, K, m, t
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# Choosing Dynamical Systems (All)
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for key, value in enumerate(buffer_space):
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# Evolution Parameter
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e = float(seed / value)
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# Control Theory: Orbit Change
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value = (buffer_space[(key + 1) % m] + e) % 1
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# Control Theory: Trajectory Change
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r = (params_space[key] + e) % 1 + 3
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# Modification (Transition Function) - Jumps
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buffer_space[key] = round(float(r * value * (1 - value)), 10)
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params_space[key] = r # Saving to Parameters Space
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# Logistic Map
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assert max(buffer_space) < 1
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assert max(params_space) < 4
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# Machine Time
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machine_time += 1
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def pull():
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global buffer_space, params_space, machine_time, K, m, t
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# PRNG (Xorshift by George Marsaglia)
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def xorshift(x, y):
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x ^= y >> 13
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y ^= x << 17
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x ^= y >> 5
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return x
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# Choosing Dynamical Systems (Increment)
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key = machine_time % m
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# Evolution (Time Length)
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for i in range(0, t):
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# Variables (Position + Parameters)
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r = params_space[key]
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value = buffer_space[key]
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# Modification (Transition Function) - Flow
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buffer_space[key] = round(float(r * value * (1 - value)), 10)
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params_space[key] = (machine_time * 0.01 + r * 1.01) % 1 + 3
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# Choosing Chaotic Data
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x = int(buffer_space[(key + 2) % m] * (10**10))
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y = int(buffer_space[(key - 2) % m] * (10**10))
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# Machine Time
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machine_time += 1
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return xorshift(x, y) % 0xFFFFFFFF
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def reset():
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global buffer_space, params_space, machine_time, K, m, t
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buffer_space = K
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params_space = [0] * m
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machine_time = 0
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if __name__ == "__main__":
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# Initialization
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reset()
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# Pushing Data (Input)
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import random
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message = random.sample(range(0xFFFFFFFF), 100)
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for chunk in message:
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push(chunk)
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# for controlling
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inp = ""
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# Pulling Data (Output)
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while inp in ("e", "E"):
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print(f"{format(pull(), '#04x')}")
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print(buffer_space)
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print(params_space)
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inp = input("(e)exit? ").strip()
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