行业特定风险：银行业拨备覆盖率风险识别

"____""____""____"

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()))

    df = bs[(____) & (____)].copy()
    df = df[df['____'].str.contains(____)]

    loan_col = '____' if '____' in df.columns else None
    prov_col = '____' if '____' in df.columns else None

    if loan_col and prov_col:
        df = df.dropna(____)
        df = df[(____) & (____)]
        df['____'] = (____).round(____)
        df['____'] = (____).round(____)
        result = df.sort_values(____)[
            ['____', '____', loan_col, prov_col, '____', '____']
        ].reset_index(____)
    else:
        df = df.dropna(____)
        df['____'] = (____).round(____)
        result = df.sort_values(____)[
            ['____', '____', '____', '____', '____']
        ].reset_index(____)

    return result.to_string()

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