行业特定风险：商誉占总资产比重风险识别

"____""____""____"

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

"____""____"极高风险"____"高风险"____"中风险"____""____"

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()))

    df = bs[(____) & (____)].copy()
    df = df.dropna(____)
    df = df[(____) & (____)]
    df['____'] = (____).round(____)
    df = df[df['____'] >= ____]

    def risk(____):
        if x >= ____:
            return '____'
        elif x >= ____:
            return '____'
        else:
            return '____'

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

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