P-AI-R Programming: How AI Tools Like GitHub Copilot and ChatGPT Can Radically Transform Your Development Workflow by Michael D Callaghan
Author:Michael D Callaghan
Language: eng
Format: epub
Tags: AI, Software Development, ChatGPT, GitHub Copilot, Copilot, Machine Learning, Code Generation
Publisher: Michael Callaghan
Published: 2024-01-25T00:00:00+00:00
Invalid CC#
4321 5678 4321 5678
6011 2222 3333 4444
4444 3333 2222 1111
5432 1234 5678 9999
378282246310005 (Valid Amex)
That last one is a false negative. Apparently, the regex cannot match American Express card numbers.
One last thought I had was whether or not Copilot knows what the Lunh Algorithm is. The JavaScript is available on the developer page I linked above.
I got this response when I typed my comment, which is not what I expected:
// Validate the credit card number using the Lunh Algorithm
private creditCardLuhnRegex = /^(?:4[0-9]{12}(?:[0-9]{3})?|5[1-5][0-9]{14}|3[47][0-9]{13}|3(?:0[0-5]|[68][0-9])[0-9]{11}|6(?:011|5[0-9][0-9])[0-9]{12}|(?:2131|1800|35\d{3})\d{11})$/;
It doesnât actually appear to implement the algorithm, but it does match the Amex number that the first regex missed.
Before leaving this section, I wondered if a slight change to my comment might make it work.
// Function to Validate the credit card number using the Lunh Algorithm
private validateCreditCardNumber(cardNumber: string): boolean {
let sum = 0;
let shouldDouble = false;
for (let i = cardNumber.length - 1; i >= 0; iâ) {
let digit = parseInt(cardNumber.charAt(i), 10);
if (shouldDouble) {
if ((digit *= 2) > 9) digit -= 9;
}
sum += digit;
shouldDouble = !shouldDouble;
}
return sum % 10 === 0;
} // End of validateCreditCardNumber
I didnât run it to test it out, but that is a lot closer to what I was expecting. Feel free to give it a try.
I suspected that ChatGPT would be better for this sort of thing, so I gave it a similar prompt to see what it would come up with.
Implement a function to validate a credit card number using the Lunh Algorithm
Sure, here's a Python function that uses the Luhn Algorithm to validate a credit card number:
def validate_credit_card_number(card_number):
# Reverse the credit card number and convert each digit to an integer
digits = [int(x) for x in str(card_number)][::-1]
# Double the value of every second digit
doubled_digits = []
for i, digit in enumerate(digits):
if i % 2 == 1:
doubled_digits.append(digit * 2)
else:
doubled_digits.append(digit)
# Add the digits of the doubled values and the undoubled digits
total = 0
for digit in doubled_digits:
if digit > 9:
total += digit - 9
else:
total += digit
# If the total is a multiple of 10, the card number is valid
return total % 10 == 0
Does it work? I donât really know. Honestly, I didnât test it. I donât speak Python, but it did give me a glimpse at some of the languages the ChatGPT (and presumably Copilot) knows. The JavaScript I got from Copilot looks different from the JavaScript code at the website.
If you decide to test either version, let me know if it works.
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