Symbolic-Retry-State-Score

Validation

It was run in the sandbox and it failed. run produced no meaningful output (empty or near-empty).

$ python3 symbol_retry_score.py
(no output)

No screenshot — there is nothing working to show. This is recorded as an unfinished sketch so the attempt stays visible instead of being quietly dropped.

The code

All of it — 84 lines, one file, standard library only.

import time
import random

class State:
    def __init__(self):
        self.variables = {'x': 0}
        self.history = []

    def correct_symbolically(self):
        target = 5
        if self.variables['x'] < target:
            self.variables['x'] += 1
        elif self.variables['x'] > target:
            self.variables['x'] -= 1
        self.history.append({'step': len(self.history), 'x': self.variables['x']})

class Goal:
    def __init__(self, target):
        self.target = target

    def check(self, state):
        return state.variables['x'] == self.target

def retry_logic(max_retries=3, backoff_factor=1):
    def decorator(func):
        def wrapper(state, goal):
            for attempt in range(1, max_retries + 1):
                result = func(state, goal)
                if result:
                    return True
                state.correct_symbolically()
                if attempt < max_retries:
                    wait_time = backoff_factor * (2 ** (attempt - 1))
                    time.sleep(wait_time)
                else:
                    return False
            return True
        return wrapper
    return decorator

@retry_logic(max_retries=3, backoff_factor=1)
def attempt_goal(state, goal):
    success = random.random() < 0.7
    if success:
        state.variables['x'] = goal.target
        state.history.append({'step': len(state.history), 'x': goal.target})
    return success

def reachability_probability(state, goal, max_retries):
    p_success = 0.7
    distance = abs(goal.target - state.variables['x'])
    p_reachable = 1 - (1 - p_success) ** max_retries
    return p_reachable

def main():
    num_simulations = 1000
    successes = 0
    trace = None

    initial_state = State()
    target_goal = Goal(target=5)

    for _ in range(num_simulations):
        state = State()
        goal = Goal(target=5)
        if attempt_goal(state, goal):
            successes += 1
            if trace is None:
                trace = state.history
        else:
            trace = state.history

    success_prob = successes / num_simulations
    print(f"Estimated success probability: {success_prob:.2f}")

    print("\nState transition trace:")
    if trace is not None:
        for entry in trace:
            print(f"Step {entry['step']}: x = {entry['x']}")
    else:
        print("Unreachable")

if __name__ == "__main__":
    main()