行业特定风险：农业生物资产占总资产比分析

"____""____""____"

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

"____""____"消耗性生物资产"____""____"

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

    bio_col = '____' if '____' in df.columns else None
    inv_col = '____' if '____' in df.columns else None

    if bio_col:
        df[bio_col] = df[bio_col].fillna(____)
        df['____'] = (____).round(____)
    else:
        df['____'] = ____

    if inv_col:
        df[inv_col] = df[inv_col].fillna(____)
        df['____'] = (____).round(____)
    else:
        df['____'] = ____

    cols = ['____', '____', '____', '____', '____', '____']
    if bio_col:
        cols.insert(____, bio_col)
    if inv_col:
        cols.insert(____)

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

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