[USER (data scientist)]: Awesome, now let's sift out the customers who have a solid credit history. We can consider 'existing paid', 'no credits/all paid', and 'all paid' as indicators of good credit history. Please generate and display a Series indicating customers with a good credit history from the 'credit_customers' dataset.
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(good_credit_history) 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: To filter customers with good credit history, we can use the following code:
'''
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:
