存贷双高识别：货币资金收益率计算与验证

"____""____""____"

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

"____""____""____"

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()))
    inc = pd.read_csv(StringIO(open_url(____).read()))

    key = ['____', '____', '____']
    bs23 = bs[(____) & (____)][key + ['____', '____']]
    inc23 = inc[(____) & (____)][key + ['____']]

    # 用财务费用作为近似利息收入
    inc_fin = inc[(____) & (____)].copy()
    if '____' in inc_fin.columns:
        fin_col = '____'
    else:
        fin_col = '____'

    inc23b = inc[(____) & (____)][
        key + [fin_col, '____']].copy()
    inc23b = inc23b.rename(____)

    df = bs23[['____', '____']].merge(____)
    df = df.dropna()
    df = df[df['____'] > ____]
    df['____'] = (df['____'].abs() / df['____']).round(____)

    cols = ['____', '____', '____', '____', '____']
    top10 = df.nlargest(____, '____')[cols].reset_index(____)
    bot10 = df.nsmallest(____, '____')[cols].reset_index(____)

    return ("____" + top10.to_string() +
            "____" + bot10.to_string())

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