现金流分析：排除法逐步剥离异常因素

"____""____""____"

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

"____""____""____"

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

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

    row_2009 = df[df['____'] == ____].iloc[____]
    net_profit = row_2009['____']
    ocf_orig = row_2009['____']

    note_receivable_adj = ____
    ar_conservative = ____ / ____

    ocf_adj1 = round(____)
    ocf_adj2 = round(____)

    cash_ratio_orig = round(____)
    cash_ratio_adj1 = round(____)
    cash_ratio_adj2 = round(____)

    lines = [
        f"____",
        f"____",
        f"____",
        "____",
    ]
    return '____'.join(____)

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