Luhn Luhn. "495308".CreditCardBrandNameIgnoreLength() // => Visa "495308".CreditCardBrandIgnoreLength() // => CardIssuer.Visa string visaNumber = CreditCardFactory.RandomCardNumber(CardIssuer.Visa, 16) ĬreditCardStringExtension "4953089013607".CreditCardBrand() // => CardIssuer.Visa Generates random credit card numbers of a specific CardIssuer with any valid card length. String chinaUnionPayNumber = CreditCardFactory.RandomCardNumber(CardIssuer.ChinaUnionPay) String masterCardNumber = CreditCardFactory.RandomCardNumber(CardIssuer.MasterCard) String amexNumber = CreditCardFactory.RandomCardNumber(CardIssuer.AmericanExpress) string visaNumber = CreditCardFactory.RandomCardNumber(CardIssuer.Visa) Generates random credit card numbers of a specific CardIssuer. Usage CreditCardDetector CreditCardDetector detector = new CreditCardDetector("4012 8888 8888 1881") ĭetector.CardNumber // => 4012888888881881ĭetector.IsValid(CardIssuer.Maestro) // => Falseĭetector.IssuerCategory // => Banking and financial The following card issuers are supported: It can also generate random credit card numbers for testing purposes. Regarding implementing the Luhn algorithm, check the pycard's implementation - it is quite clean and understandable.CreditCardValidator helps you validate credit card numbers, identify its issuer (Visa, Mastercard, etc), verify length, prefixes and check it through the Luhn algorithm. """Checks a credit card number and returns a matching brand name, or INVALID if no brand matched.""" Then, match each of the expressions one by one until you find a match or a brand was not found: import re I would improve the way you distinguish between cards by introducing a mapping between brands and regular expressions (like it was done in pycard module). You can check the length to be in range in one go: if not(13 <= len(str(number)) <= 16): add docstrings to each of the defined functions.I'd pass around the credit card number as a string instead of converting it to string in every single validation step.use if _name_ = '_main_': to avoid the main() function to be executed when the module is imported.Sum_even = sum(split_to_digits(''.join(int_to_str(even_indices)))) You can generate the credit card number for all the major brands for multiple purposes in the business industry. Sum_odd = sum(split_to_digits(''.join(int_to_str(mul(odd_indices, 2))))) Credit Card Number Generator generates 100 valid credit card numbers with required details such as Name, Address, Expiry, Money, PIN, and CVV code. # cc_number = int(input("Enter a valid credit card number: ")) If you find anything that could be done in a better, faster, or more Pythonic way, please let me know. I tried to add some Pythonic ways of doing things, but there are probably many more things I could have done. For those of you unfamiliar with the problem, here is the description.īecause I took the program and converted from C to Python, it is probably not going to be written in the most Pythonic way. I wrote it in C, and then I thought that I could go about the same thing in Python, and wrote the same program in Python. I have began taking the CS50 course on EDX the past couple of days, and one of the tasks to accomplish was to write a credit card validator in C.
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