[USER (data scientist)]:We want to identify clients who have multiple existing credits and high installment commitments (above the median value of the 'installment_commitment' column) among the clients filtered in the first step. Please provide the result as a list of client IDs with multiple existing credits and high installment commitments. Specifically, you can generate a list to identify client IDs from the 'credit_customers' dataframe who have more than one existing credit and an installment commitment above the median of the dataset, and store this list in a pickle file.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle 
  
# Load the dataset  
credit_customers = pd.read_csv("credit_customers.csv")

# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(result_list)

# save data
pickle.dump(result_list,open("./pred_result/result_list_3.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you with that.
'''
import pandas as pd  
import pickle 
  
# Load the dataset  
credit_customers = pd.read_csv("credit_customers.csv")

# YOUR SOLUTION BEGIN:
