实现基于黑名单的申请反欺诈检查

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_featured_csv = open_url(____).read()
    realtime_requests_csv = open_url(____).read()
    blacklist_csv = open_url(____).read()
    decision_log_csv = open_url(____).read()
    import pandas as pd
    from io import StringIO
    req = pd.read_csv(StringIO(____))
    bl = pd.read_csv(StringIO(____))
    ip_bl=bl[bl['____']=='____']['____'].tolist()
    if '____' in req.columns:
        hits=req[req['____'].isin(____)]
        print(____)
        if len(____)>____:
            for _,r in hits.iterrows():
                reason=bl[bl['____']==r['____']]['____'].values
                print(____)
    else:
        print(____)