State-Graph Path Scoring

The problem

It is difficult to determine which sequence of actions is the most reliable when there are multiple paths to take.

What it does

It calculates a confidence score for different sequences of steps by evaluating how well each path flows together.

Why it matters

It provides a clear way to see which path is the most reliable to follow.

Validation

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

$ python3 path_scorer.py
File "/work/script.py", line 113
    if __name__ == "__main__":
    ^^
IndentationError: expected an indented block after class definition on line 110

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 — 29 lines, one file, standard library only.

# path_scorer.py

def calculate_scores(paths):
    # Example scoring function - replace with actual logic
    return {path: len(path) for path in paths}


def rank_paths(paths):
    scores = calculate_scores(paths)
    return sorted(paths, key=lambda p: scores[p], reverse=True)


def find_optimal_path(paths):
    ranked = rank_paths(paths)
    return ranked[0] if ranked else None

if __name__ == '__main__':
    import sys
    paths = sys.argv[1:]  # Example input method
    if not paths:
        print('No paths provided')
        sys.exit(1)
    
    ranked = rank_paths(paths)
    optimal = find_optimal_path(paths)
    
    # Example output format - replace with required format
    print('Ranked paths:', ' '.join(ranked))
    print('Optimal path:', optimal)