行业特定风险：重工业高负债风险识别

"____""____""____"

metadata = {
    "____": "____",
    "____": "____",
    "____": "____",
    "____": "____",
    "____": ["____", "____"],
    "____": ["____", "____", "____"],
    "____": ____
}

"____""____"高杠杆风险"____"短期流动性风险"____""____"

def solve():
    import pandas as pd
    from pyodide.http import open_url
    from io import StringIO

    BASE_URL = "____"
    bs = pd.read_csv(StringIO(open_url(____).read()))
    sol = pd.read_csv(StringIO(open_url(____).read()))

    bs23 = bs[(____) & (____)].copy()
    sol23 = sol[(____) & (____)][
        ['____', '____']].rename(____)

    mask = bs23['____'].str.contains(____)
    df = bs23[mask].merge(____)
    df = df.dropna(____)
    df = df[df['____'] > ____]

    df['____'] = (____).round(____)
    df['____'] = df['____'].round(____)
    df['____'] = df['____'].apply(____)
    df['____'] = df['____'].apply(____)

    result = df.sort_values(____)[
        ['____', '____', '____', '____', '____', '____', '____']
    ].reset_index(____)
    return result.to_string()

if __name__ == "____":
    print(solve())