# Calculating Luhn-algorithm checksum digit

Today I decided to learn some basic Haskell, and for starters I made a program for calculating the checksum of a Swedish personal identification number. It uses the Luhn-algorithm, aka. IBM MOD-10.

Explanation of this code can be found on Swedish Wikipedia and English Wikipedia

Here's a description of how the algorithm works:

Given a string of 9 digits, abcdefghi compute:

array = [a*2, b, c*2, d, e*2, f, g*2, h, i*2]


Then you computer the sum of the digits in this array, so for example if a*2 is 16, then that part counts as 1 + 6.

Then the result is how much more you have to add to make it evenly divisible by 10. For example, if sum == 54 then the result is 6 as 60 - 54 = 6.

import Data.Char

sumOfChars :: String -> Int
sumOfChars "" = 0
sumOfChars str = digitToInt(str !! 0) + sumOfChars(tail str)

twoMult :: Char -> String
twoMult c = show (digitToInt(c) * 2)

identificationSum :: String -> Int
identificationSum "" = 0
identificationSum str = if length str mod 2 == 1 then sumOfChars(twoMult(str !! 0)) + identificationSum(tail str)
else digitToInt(str !! 0) + identificationSum(tail str)

remainingToTens :: Int -> Int
remainingToTens x = ceiling(fromIntegral x / 10) * 10 - x

determineLastDigit :: String -> Int
determineLastDigit str = remainingToTens(identificationSum(str))


To test the code:

determineLastDigit("811228987")


Prints:

4


As this is the first time ever I managed to make something in Haskell, any comments are welcome. Even though it is the first time though, feel free to rip my code apart as much as you would like and suggest any advanced things, I am always eager to learn.

This is a good start! I'll do two passes over your code, one to address issues of style, and another to leverage functions from the Haskell Prelude to decrease code length and bring it more in line with typical Haskell usage and idioms.

Style

Your sumOfChars function is a good example of tail-recursion, but in Haskell we would take that String apart through pattern matching. A Haskell String is really a list of characters, or [Char], so we'll decompose it as a list.

sumOfChars :: [Char] -> Int -- String is a synonym for [Char]
sumOfChars [] = 0 -- The empty list is the same value as the empty string, i.e. [] == ""
sumOfChars (c:cs) = digitToInt c + sumOfChars cs


The : is the list cons operator, c is the head of the list and cs is the tail. So, c == str !! 0 and cs == tail str. (And head is the function we usually use for getting the element at index 0 in a list.)

twoMult isn't wrong, but function application in Haskell doesn't require any parentheses. Parentheses are for grouping since function application has the highest precedence of any operation.

twoMult :: Char -> String
twoMult c = show (digitToInt c * 2)


Using an if statement at the top level of a function is usually an indication that you can use a guard. Guards are a bit like a multi-way if.

identificationSum :: [Char] -> Int
identificationSum [] = 0
identificationSum s@(c:cs) -- The 's@' part is an as-pattern, explained below
| length s mod 2 == 1 = sumOfChars (twoMult c) + identificationSum cs
| otherwise             = digitToInt c + identificationSum cs


Each guard begins with a pipe (|) and evaluates to a Bool value. First pattern matching takes place, then guards are evaluated in order. otherwise is just a synonym for True, i.e., a guard that always succeeds when evaluation reaches it.

I used an as-pattern there to bind the value of c:cs to an identifier. This is a handy shortcut and much preferable to writing c:cs all over the place if you need both the original value and its decomposition.

remainingToTens is a little odd, and I'd guess that you got to that answer when the compiler complained about there not being an instance for Fractional Int, yeah? Integer division uses a function called div, / is for Fractional values (like Float or Double) (yeah it's a little strange the first time you come across this).

remainingToTens :: Int -> Int
remainingToTens x = (x div 10 + 1) * 10 - x -- Edit: This is incorrect, use version below


And determineLastDigit just has a few extra parentheses.

determineLastDigit :: String -> Int
determineLastDigit s = remainingToTens (identificationSum s)


Many of the operations you implemented can be expressed using some of the higher-order functions we have in the Prelude and coding in a functional style.

Instead of using primitive recursion on the elements of a list in sumOfChars, typical Haskell usage would see us using functions like sum and map to manipulate the entire list without getting into the weeds.

sumOfChars :: [Char] -> Int
sumOfChars cs = sum (map digitToInt cs)


maps type is (a -> b) -> [a] -> [b], that is, it takes a function - that itself takes an element of type a and returns something of type b - and a list and returns a list where that function has been applied to every element of the first list. sum adds all the values in a list of numbers.

One further thing we could do to that function is to write it in pointfree style. Writing functions pointfree is definitely an aspect of Haskell style, but don't concentrate on it overmuch until you have a solid grasp on the basics of the language. I've included an Appendix A at the bottom of this post where functions have been written pointfree for your reference.

identificationSum could be written many, many ways (some as in the appendices below) but given the context of sumOfChars, twoMult, and the specification of the algorithm I would favor separating out the functionality into two phases. First, constructing a new string based on doubling every other digit, and secondly summing all of the digits. To do this I'll introduce a new function.

doubleAlternating :: [Char] -> [Char]
doubleAlternating []       = []
doubleAlternating (c:[])   = twoMult c
doubleAlternating (c:d:cs) = twoMult c ++ [d] ++ doubleAlternating cs


And then identificationSum is a composition of doubleAlternating and sumOfChars.

identificationSum :: String -> Int
identificationSum s = sumOfChars (doubleAlternating s)


remainingToTens could really just benefit from some modular arithmetic. Use the rem function.

remainingToTens :: Int -> Int
remainingToTens x = negate x mod 10


I'll take it a little further with inlining in the appendices, but as it stands this is a very readable translation of the problem as it was stated. Having a close correspondence to the problem domain can be much more valuable than terse code for the sake of terseness.

Appendix A: Pointfree

One of the things I like about pointfree style is that it forces you to think in terms of functions, higher order abstractions, and data pipelines. Presented without further comment.

sumOfChars :: [Char] -> Int
sumOfChars = sum . map digitToInt

twoMult :: Char -> String
twoMult = show . (* 2) . digitToInt

identificationSum :: String -> Int
identificationSum = sumOfChars . doubleAlternating

determineLastDigit :: String -> Int
determineLastDigit = remainingToTens . identificationSum


Appendix B: Code golf

Understanding this will help you explore the Prelude and hopefully have a stronger grasp of function composition. I'll admit it's a little showy though. ;-)

checksum :: String -> Int
checksum s = negate (sum . map digitToInt . concatMap show . zipWith ($) (cycle [(* 2), id]) . map digitToInt$ s) mod 10

• I love your answer! It certainly gives me a whole lot of things to check out. I believe though that remainingToTens x = (x div 10 + 1) * 10 - x or remainingToTens x = 10 - x rem 10 will give the wrong result for when x % 10 == 0, it should be 0 and not 10 in those cases. Which is why I went with the ceiling approach. (I guess it's not too hard to solve with your approach though). And yes, I did get that instance of Fractional Int message. Took some google searches to get around that.. – Simon Forsberg Jul 24 '14 at 0:07
• Ah! You're right about remainingToTens! I only really tested with the single example you gave. Shame on me. This seems to work. negate x mod 10 I'm glad you found my answer helpful! – bisserlis Jul 24 '14 at 1:52

## Simple issues first…

• I suggest being more explicit about what you are importing. For example,

import Data.Char (digitToInt, intToDigit)

• remainingToTens x = ceiling(fromIntegral x / 10) * 10 - x could be more simply written as remainingToTens x = 10 - x mod 10.
• It would be nice to support '-' and '+' characters in the input.
• It would be good to fail if the input contains any character other than a decimal digit or a '-' or a '+'. Actually, digitToInt also accepts 'a' through 'f' as hexadecimal digits, which you want to reject.

As @bisserlis mentioned, your use of !!, if-then-else, and parentheses are not idiomatic in Haskell.

In general, Haskell lists can be infinitely long. Therefore, Haskell idioms emphasize laziness, which implies head-to-tail traversal. For code like this, built to handle short strings, it makes little difference, but you should try to develop a habit of traversing lists from head to tail, in one single pass whenever possible.

In that spirit, it is best to avoid calling functions like length, which traverse all the way to the end of a list. Especially not when you do so within a recursive function identificationSum. (As it turns out, however, length might be necessary after all — see below.)

I don't like the way sumOfChars(twoMult(str !! 0)) works. twoMult calls show to stringify the doubled digit, and sumOfChars immediately converts it back into the numeric realm. You should be able to handle the calculation without stringifying.

Helper functions, if they are only ever used by one function, should be scoped. You can use either a where clause or a let helper = … in … expression.

## First suggested implementation

Incorporating the ideas above…

import Data.Char (digitToInt, intToDigit)

sumOfChars :: String -> Int
sumOfChars str = sumOfChars' double id str
where
sumOfChars' f f' ""        = 0
sumOfChars' f f' (c:cs)
| c == '-' || c == '+' = sumOfChars' f f' cs
| '0' <= c && c <= '9' = (f (digitToInt c)) + sumOfChars' f' f cs
double n
| n < 5  = 2 * n
| n < 10 = 2 * n + (1 - 10)

lastDigit :: String -> Char
lastDigit str = intToDigit $10 - (sumOfChars str) mod 10  I've redefined lastDigit so that it returns the digit as a Char rather than an Int. The user of your functions should be dealing purely with strings and characters, as Swedish Personal IDs are strings, not integers. (Leading zeroes and punctuation matter, for example.) ## Complication Apparently, IDs are sometimes written with a four-digit year in the birthdate field. However, the Swedish Wikipedia example ("19811218-9876") suggests that even when the century is prepended, the checksum is still based on the canonical representation using a two-digit year. That makes implementation trickier: you would probably need to either reintroduce a call to length (just one call in a non-recursive context, mind you) or do a crazy amount of pattern matching. sumOfChars :: String -> Int sumOfChars str@(_:_:cs) | length str > 11 = sumOfChars' double id cs | otherwise = sumOfChars' double id str where sumOfChars' f f' "" = 0 sumOfChars' f f' (c:cs) | c == '-' || c == '+' = sumOfChars' f f' cs | '0' <= c && c <= '9' = (f (digitToInt c)) + sumOfChars' f' f cs double n | n < 5 = 2 * n | n < 10 = 2 * n + (1 - 10)  ## Alternative API suggestion I imagine that the common use-case might be to append a checksum digit. Perhaps this alternative API might be more useful? One function takes care of both sumChars and determineLastDigit, and all its helper functions are neatly scoped inside. completeID :: String -> String -- Support four-digit-year variant representation completeID (y1:y2:y3:y4:m1:m2:d1:d2:n1:n2:n3:[]) = y1:y2:completeID (y3:y4:m1:m2:d1:d2:n1:n2:n3:[]) completeID (y1:y2:y3:y4:m1:m2:d1:d2:'+':n1:n2:n3:[]) = y1:y2:completeID (y3:y4:m1:m2:d1:d2:'+':n1:n2:n3:[]) completeID (y1:y2:y3:y4:m1:m2:d1:d2:'-':n1:n2:n3:[]) = y1:y2:completeID (y3:y4:m1:m2:d1:d2:'-':n1:n2:n3:[]) completeID cs = completeID' double id 0 cs where completeID' f f' sum "" = [intToDigit$ 10 - sum mod 10]
completeID' f f' sum (c:cs)
| c == '-' || c == '+' = c : completeID' f f' sum cs
| '0' <= c && c <= '9' = c : completeID' f' f (sum + f (digitToInt c)) cs
double n
| n < 5  = 2 * n
| n < 10 = 2 * n + (1 - 10)