如何修复混乱的编译系统

Question

在其他所有机器上，我都没有错误，但仅在centos7.6机器上，遵循简单的代码就会出错。

不知道是什么原因引起的，如何恢复系统？

from os.path import expanduser
import pymysql
import sshtunnel
from sshtunnel import SSHTunnelForwarder
import paramiko
from IPython.display import display
import pandas as pd

sshtunnel.SSH_TIMEOUT = 20.0

# Server config:
config_live1 = {
    'ssh_user': 'user',
    'ssh_host': 'ip address',
    'ssh_port': 11111,
    'sql_host': 'host address',
    'sql_port': 11111,
    'db_use': 'db'
}


# Client config
client_live = {
    'user': 'user', 
    'pw': 'password',
}

#SSH Public/Private key
mypkeyfile = expanduser('~') + "/.ssh/id_rsa"


def sqlconnect(config, client):
    tunnel = SSHTunnelForwarder(
        ssh_address_or_host = (config['ssh_host']),
        ssh_username= config['ssh_user'],
        ssh_pkey = mypkeyfile,
        remote_bind_address=(config['sql_host'], config['sql_port']))
    tunnel.start()
    cnx = pymysql.connect(host='127.0.0.1', 
                          port= tunnel.local_bind_port, 
                          user=client['user'], 
                          passwd=client['pw'],
                          database=config['db_use'], 
                          cursorclass = pymysql.cursors.DictCursor)        

    print('Welcome aboard! You are on ' + config['sql_host'] + ' with local port', tunnel.local_bind_port)
    cur = cnx.cursor()
    cur.execute('SHOW DATABASES')
    print('Available DBs are:', cur.fetchall())
    df_dict = {}
    while True:
        query = input('Write your query (or exit):')
        if query == 'exit':
            break
        else:
            cur.execute(query)
            result = pd.DataFrame(cur.fetchall())
            display(result)
            print_out = input('Save as [DataFrame] OR [CSV] OR next:')
            if print_out in ['DataFrame', 'Dataframe', 'dataframe', 'df']:
                print(df_dict.keys())
                df_name = input('Give the DataFrame name, but avoid above values:')
                df_dict[df_name] = result
            elif print_out in ['CSV', 'csv']:
                result.to_csv(input('Give the CSV file name'))
    if bool(df_dict) == True:
        print('You have saved these dataframes:', df_dict.keys())
        return df_dict
    cnx.close()

#include <fstream>

int main()
{
        std::ifstream file;
        file.open("in.txt", std::ifstream::in);
        return 0;
}