实现设备状态缓存预热

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd, json
    snap_csv = open_url(____).read()
    devs_csv = open_url(____).read()
    snaps = pd.read_csv(StringIO(____))
    devs = pd.read_csv(StringIO(____))
    cache = {}
    def warm_cache(____):
        warmed = ____
        for _, row in snapshots_df.iterrows():
            key = f"____"
            cache[key] = {'____': json.loads(____), '____': row['____'], '____': row['____']}
            warmed += ____
        return warmed
    warmed = warm_cache(____)
    print(____)
    for key, val in list(cache.items())[:____]:
        print(____)
    all_devices = set(____)
    cached_devices = {k.split(____)[____] for k in cache}
    not_warmed = all_devices - cached_devices
    print(____)