计算全行资金集中度（前3机构占比）

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_07/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_07/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_07/journal_entries.csv").read()
    clearing_records_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clearing_records.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(offices_csv)).to_sql('offices', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')
    df = pd.read_sql_query("SELECT SUM(a.balance) AS office_balance FROM savings_accounts a GROUP BY a.office_id ORDER BY office_balance DESC", conn)
    total = df['office_balance'].sum()
    top3 = df['office_balance'].head(3).sum()
    print(f"top3_balance: {round(top3,2)}")
    print(f"total_balance: {round(total,2)}")
    print(f"concentration_ratio: {round(top3/total*100,1)}%")
    conn.close()