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中级

按逾期天数自动匹配五级分类标准

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中级参考 代码结构已给出，请填写 ____ 处 
def solve():
    from pyodide.http import open_url
    clients_csv = open_url(____).read()
    loans_csv = open_url(____).read()
    loan_classifications_csv = open_url(____).read()
    loan_provisions_csv = open_url(____).read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(____)
    pd.read_csv(StringIO(____)).to_sql(____)
    def auto_classify(____):
        if days == ____: return '____'
        elif days <= ____: return '____'
        elif days <= ____: return '____'
        elif days <= ____: return '____'
        else: return '____'
    loans = pd.read_sql_query(____)
    loans['____'] = loans['____'].apply(____)
    loans['____'] = loans['____'] == loans['____']
    print(loans[['____','____','____','____','____']].to_string(____))
    conn.close()

示例

输入
solve()
期望输出
loan_no  days_in_arrears auto_classification classification  is_consistent
LN20260001                0              NORMAL         NORMAL           True
LN20260002                0              NORMAL         NORMAL           True
LN20260003                0              NORMAL         NORMAL           True
LN20260004                0              NORMAL         NORMAL           True
LN20260005               35         SUBSTANDARD          WATCH          False
LN20260006               65         SUBSTANDARD    SUBSTANDARD           True
LN20260007                0              NORMAL         NORMAL           True
LN20260008                0              NORMAL         NORMAL           True
LN20260009               95            DOUBTFUL    SUBSTANDARD          False
LN20260011              150            DOUBTFUL       DOUBTFUL           True
LN20260012                0              NORMAL         NORMAL           True
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