Calculate Merchant Fraud Score

Problem Given a set of transaction records transactions, each containing the merchant name, transaction amount, customer name, and time. Also given are a set of rules rules and merchant information merchants. Based on these rules, compute the fraud score for each merchant. Input Format transactions: A list of strings where each element is a comma-separated transaction detail in the format "merchant,amount,customer,time". rules: A list of strings where each element defines rules for bonuses based on certain conditions, in the format "amount_threshold,rule1,rule2,...". merchants: A list of strings where each element is a comma-separated merchant name and initial score, in the format "merchant,initial_score". Output Format Return a list of strings with each element as a comma-separated merchant name and final score in the format "merchant,final_score". Example transactions = ["merchant1,980,customer1,15"] rules = ["1500,2,8,12"] merchants = ['merchant1, 20'] Output: ["merchant1,50"] The problem involves a large volume of data, with many rules, and can be implemented in approximately 50 lines of code. Example Input transactions = ["merchant1,980,customer1,15"] rules = ["1500,2,8,12"] merchants = ["merchant1, 20"] Output ["merchant1,20"]