



UpperCAmelCase				:							List[Any]								=[0.33, 0.44, 0.55, 0.44, 0.33]
UpperCAmelCase				:							Any								=3
UpperCAmelCase				:							Dict								=5

# Buffer Space (with Parameters Space)
UpperCAmelCase				:							list[float]								=[]
UpperCAmelCase				:							list[float]								=[]

# Machine Time
UpperCAmelCase				:							Optional[int]								=0



def 				_lowerCAmelCase      (_lowerCAmelCase):
					global buffer_space, params_space, machine_time, K, m, t

					# Choosing Dynamical Systems (All)
					for key, value in enumerate(_lowerCAmelCase):
										# Evolution Parameter
										UpperCamelCase_											=				float(seed / value)

										# Control Theory: Orbit Change
										UpperCamelCase_											=				(buffer_space[(key + 1) % m] + e) % 1

										# Control Theory: Trajectory Change
										UpperCamelCase_											=				(params_space[key] + e) % 1 + 3

										# Modification (Transition Function) - Jumps
										UpperCamelCase_											=				round(float(r * value * (1 - value))				,		10)
										UpperCamelCase_											=				r  # Saving to Parameters Space

					# Logistic Map
					assert max(_lowerCAmelCase) < 1
					assert max(_lowerCAmelCase) < 4

					# Machine Time
					machine_time += 1



def 				_lowerCAmelCase      ():
					global buffer_space, params_space, machine_time, K, m, t

					# PRNG (Xorshift by George Marsaglia)
					def xorshift(_lowerCAmelCase				,		_lowerCAmelCase):
										x ^= y >> 13
										y ^= x << 17
										x ^= y >> 5
										return x

					# Choosing Dynamical Systems (Increment)
					UpperCamelCase_											=				machine_time % m

					# Evolution (Time Length)
					for _ in range(0				,		_lowerCAmelCase):
										# Variables (Position + Parameters)
										UpperCamelCase_											=				params_space[key]
										UpperCamelCase_											=				buffer_space[key]

										# Modification (Transition Function) - Flow
										UpperCamelCase_											=				round(float(r * value * (1 - value))				,		10)
										UpperCamelCase_											=				(machine_time * 0.01 + r * 1.01) % 1 + 3

					# Choosing Chaotic Data
					UpperCamelCase_											=				int(buffer_space[(key + 2) % m] * (10**10))
					UpperCamelCase_											=				int(buffer_space[(key - 2) % m] * (10**10))

					# Machine Time
					machine_time += 1

					return xorshift(_lowerCAmelCase				,		_lowerCAmelCase) % 0xFFFFFFFF



def 				_lowerCAmelCase      ():
					global buffer_space, params_space, machine_time, K, m, t

					UpperCamelCase_											=				K
					UpperCamelCase_											=				[0] * m
					UpperCamelCase_											=				0


if __name__ == "__main__":
	# Initialization
	reset()

	# Pushing Data (Input)
	import random

	UpperCAmelCase				:							Optional[Any]								=random.sample(range(0Xff_fff_fff), 100)
	for chunk in message:
		push(chunk)

	# for controlling
	UpperCAmelCase				:							str								=""""""

	# Pulling Data (Output)
	while inp in ("e", "E"):
		print(F"{format(pull(), '#04x')}")
		print(buffer_space)
		print(params_space)
		UpperCAmelCase				:							Union[str, Any]								=input("""(e)exit? """).strip()





def 				_lowerCAmelCase      (_lowerCAmelCase				,		_lowerCAmelCase):
					UpperCamelCase_											=				0
					for ele in arr:
										total_sum += product_sum(_lowerCAmelCase				,		depth + 1) if isinstance(_lowerCAmelCase				,		_lowerCAmelCase) else ele
					return total_sum * depth



def 				_lowerCAmelCase      (_lowerCAmelCase):
					return product_sum(_lowerCAmelCase				,		1)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
