[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.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle 
from decision_company import read_csv_file, calculate_median, filter_by_condition, create_condition, logical_and, fetch_index, convert_to_list, fetch_column

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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.

# MY SOLUTION BEGIN:
