[USER (data scientist)]: Awesome, thanks! Now, how about getting their client IDs? Please extract and save the index of clients with stable employment as a Series in a pickle file..
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(f"stable_employment_idx: {stable_employment_idx}") 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! You can extract the client IDs like this:
'''
import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
