实现弹幕敏感词过滤函数

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    csv_data = open_url(____).read()
    df = pd.read_csv(StringIO(____))
    sensitive_words = ['____', '____', '____']
    def filter_danmu(____):
        for word in sensitive_words:
            if word in content:
                return False
        return True
    filtered = df[df['____'].apply(____)]
    print(____)
    print(____)