morp.py

import random

class Morpho:
    def __init__(self, x, y):
        self.x = x  # State
        self.y = y  # Logic (function or rules)

    def observe(self):
        # Collapse state and logic to evolve the system
        new_x = self.y(self.x)  # Apply logic to state
        self.x = new_x
        if self.should_rewrite_logic():  # Optional update of logic
            self.y = self.update_logic()
        return self

    def should_rewrite_logic(self):
        # Example logic for determining whether to rewrite
        return hasattr(self.y, "evolves") and self.y.evolves

    def update_logic(self):
        # Define how to update logic
        return lambda x: x * 2  # Placeholder: evolve logic function

    def __close__(self):
        # Ensure re-entanglement
        self.reentangle()
        return f"Closed with state {self.x} and logic {self.y}"

    def reentangle(self):
        # Placeholder for re-entangling logic
        print(f"Re-entangling state {self.x} with logic {self.y}")

# Define initial state and logic
initial_state = 1
initial_logic = lambda x: x + 1

# Create a Morpho instance
m = Morpho(initial_state, initial_logic)

# Run a feedback loop
for _ in range(5):
    m.observe()
    print(f"State: {m.x}")

# Close and re-entangle
print(m.__close__())