It will detect most of the possible twin errors (it will not detect 22 ↔ 55, 33 ↔ 66 or 44 ↔ 77). It will not, however, detect transposition of the two-digit sequence 09 to 90 (or vice versa). The Luhn algorithm will detect all single-digit errors, as well as almost all transpositions of adjacent digits. The check digit is calculated by 10 − ( s mod 10 ) ).Sum the values of the resulting digits.Moving left, double the value of every second digit (including the rightmost digit). With the payload, start from the rightmost digit.If the number already contains the check digit, drop that digit to form the "payload." The check digit is most often the last digit. Most credit cards and many government identification numbers use the algorithm as a simple method of distinguishing valid numbers from mistyped or otherwise incorrect numbers. It is not intended to be a cryptographically secure hash function it was designed to protect against accidental errors, not malicious attacks. The algorithm is in the public domain and is in wide use today. If you're new to regular expressions, you may want to check out this page.The Luhn algorithm or Luhn formula, also known as the " modulus 10" or "mod 10" algorithm, named after its creator, IBM scientist Hans Peter Luhn, is a simple checksum formula used to validate a variety of identification numbers, such as credit card numbers, IMEI numbers, National Provider Identifier numbers in the United States, Canadian social insurance numbers, Israeli ID numbers, South African ID numbers, Swedish national identification numbers, Swedish Corporate Identity Numbers (OrgNr), Greek Social Security Numbers (ΑΜΚΑ), SIM card numbers, European patent application number and survey codes appearing on McDonald's, Taco Bell, and Tractor Supply Co. > # Contains 4 or more consecutive repeated digits Have 4 or more consecutive repeated digits. Have digits in groups of 4, separated by one hyphen. Rules for sequences to qualify as credit card numbers: """Check if a sequence is a valid credit card number. However, credit card numbers follow a fixed pattern, and therefore are a perfect candidate for regular expressions: import re must NOT have 4 or more consecutive repeated digits. must NOT use any other separator like ' ', '_', may have digits in groups of 4, separated by one hyphen "-". must only consist of digits (0-9) or hyphens '-', """Returns `True' if the sequence is a valid credit card number. So instead let us write a function with a doc string: def is_valid_card_number(sequence): At the moment you would have to duplicate your code somewhat just to check a second credit card. I am looking for an optimised way for the function val_rep(), which validates the repetition of any number for 4 consecutive times.įirst of all, you should encapsulate your functionality in a function, unless you really want to use your code only once. #condition 4, validates the repetition of any number for 4 consective times #condition 3, validates if input consists only number #condition 2, validates the length of the number #to check if individial elements of the list are of length=4 #condition 1, validates the starting series #refernece list to check the starting series I have go through some of the solutions here and here as well, but the characteristics for validating are different from what I was working on, hence posting this.
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