TDA 452
DIT 142
HT 2017

Functional Programming 2017
Lab Assignment 3

Some notes:

Good luck!

Lab Assignment 3: Sudoku

In this Lab Assignment, you will design a Haskell program that will be able to solve Sudokus, a popular logical puzzle originating from Japan.

Assignments and Deadlines

There are 6 regular assignments as part of this Lab: A, B, C, D, E, and F. The lab consists (again) of two parts.

For submission, assignments A, B, C and D are called Lab 3A.

Assignments E and F are called Lab 3B.

Deadlines for each of these parts are given on the home page. There are also extra assignments. You can choose freely whether to do one of these. Those are just for fun.

Hints

Some assignments have hints. Often, these involve particular standard Haskell functions that you could use. Some of these functions are defined in modules that you have to import yourself explicitly. You can use the following resources to find more information about those functions: We encourage you to actually go and find information about the functions that are mentioned in the hints!

Sudokus

Sudoku is a logic puzzle originating in Japan and has caught on in popularity also in the West in recent years. Many newspapers publish a daily Sudoku puzzle for the readers to solve.

A Sudoku puzzle consists of a 9x9 grid. Some of the cells in the grid have digits (from 1 to 9), others are blank. The objective of the puzzle is to fill in the blank cells with digits from 1 to 9, in such a way that every row, every column and every 3x3 block has exactly one occurrence of each digit 1 to 9.

Here is an example of a Sudoku puzzle
36 712
5 18
92 47
13 28
4 5 2 9
27 46
53 89
83 6
769 43
Here is the solution to the Sudoku puzzle
364871295
752936184
819254736
596713428
431582679
278469351
645328917
983147562
127695843

In this lab assignment, you will write a Haskell program that can read in a Sudoku puzzle and solve it.

More Information

If you want to read more about Sudokus, here are a few links:

Modelling Sudokus

To implement a Sudoku-solving program, we need to come up with a way of modelling Sudokus. A Sudoku is a matrix of digits or blanks. The natural way of modelling a matrix is as a list of lists. The outer list represents all the rows, and the elements of the list are the elements of each row. Digits or blanks can be represented by using the Haskell Maybe type. Digits are simply represented by Int.

Summing up, a natural way to represent Sudokus is using the following Haskell datatype:

data Sudoku = Sudoku [[Maybe Int]]
Since it is convenient to have a function that extracts the actual rows from the Sudoku, we actually use the following equivalent datatype definition:
data Sudoku = Sudoku { rows :: [[Maybe Int]] }
For example, the above Sudoku puzzle has the following representation in Haskell:
example :: Sudoku
example =
  Sudoku
    [ [Just 3, Just 6, Nothing,Nothing,Just 7, Just 1, Just 2, Nothing,Nothing]
    , [Nothing,Just 5, Nothing,Nothing,Nothing,Nothing,Just 1, Just 8, Nothing]
    , [Nothing,Nothing,Just 9, Just 2, Nothing,Just 4, Just 7, Nothing,Nothing]
    , [Nothing,Nothing,Nothing,Nothing,Just 1, Just 3, Nothing,Just 2, Just 8]
    , [Just 4, Nothing,Nothing,Just 5, Nothing,Just 2, Nothing,Nothing,Just 9]
    , [Just 2, Just 7, Nothing,Just 4, Just 6, Nothing,Nothing,Nothing,Nothing]
    , [Nothing,Nothing,Just 5, Just 3, Nothing,Just 8, Just 9, Nothing,Nothing]
    , [Nothing,Just 8, Just 3, Nothing,Nothing,Nothing,Nothing,Just 6, Nothing]
    , [Nothing,Nothing,Just 7, Just 6, Just 9, Nothing,Nothing,Just 4, Just 3]
    ]
or, written in a more compact way:
example :: Sudoku
example =
    Sudoku
      [ [j 3,j 6,n  ,n  ,j 7,j 1,j 2,n  ,n  ]
      , [n  ,j 5,n  ,n  ,n  ,n  ,j 1,j 8,n  ]
      , [n  ,n  ,j 9,j 2,n  ,j 4,j 7,n  ,n  ]
      , [n  ,n  ,n  ,n  ,j 1,j 3,n  ,j 2,j 8]
      , [j 4,n  ,n  ,j 5,n  ,j 2,n  ,n  ,j 9]
      , [j 2,j 7,n  ,j 4,j 6,n  ,n  ,n  ,n  ]
      , [n  ,n  ,j 5,j 3,n  ,j 8,j 9,n  ,n  ]
      , [n  ,j 8,j 3,n  ,n  ,n  ,n  ,j 6,n  ]
      , [n  ,n  ,j 7,j 6,j 9,n  ,n  ,j 4,j 3]
      ]
  where
    n = Nothing
    j = Just
Now, a number of assignments follows, which will lead you step-by-step towards an implementation of a Sudoku-solver.

Some Basic Sudoku Functions

To warm up, we start with a number of basic functions on Sudukos.

Assignment A

A1. Implement a function
allBlankSudoku :: Sudoku
that represents a Sudoku that only contains blank cells (this means that no digits are present).

Do not use copy-and-paste programming here! Your definition does not need to be longer than a few short lines.

A2. The Sudoku type we have defined allows for more things than Sudokus. For example, there is nothing in the type definition that says that a Sudoku has 9 rows and 9 columns, or that digits need to lie between 1 and 9. Implement a function
isSudoku :: Sudoku -> Bool
that checks if all such extra conditions are met by the given Sudoku.

Examples:

isSudoku (Sudoku [])
False
isSudoku allBlankSudoku
True
isSudoku example
True
isSudoku (Sudoku (tail (rows example)))
False
Note: It is possible to define types that more precisely captures well-formed sudokus, thus making the isSudoku function superfluous and preventing bugs involving ill-formed sudokus from happening. If you want to explore this possibility, see the the extra assignment Ä1.
A3. Our job is to solve Sudokus. So, it would be handy to know when a Sudoku is solved or not. To begin with, we need a way to check if a Sudoku has been completely filled, i.e. there are no blank cells left. Implement the following function:
isFilled :: Sudoku -> Bool
Note that we do not check here if the Sudoku is a valid solution; we will do this later. This means that isFilled returns True for any Sudoku without blanks (even if there is a row that contains the same digit twice, for example).

Hints

To implement the above, use list comprehensions! Also, the following standard Haskell functions might come in handy:
replicate :: Int -> a -> [a]
length    :: [a] -> Int
and       :: [Bool] -> Bool
To help you get started, here is a file that you can use:

Reading and Printing Sudokus

Next, we need to have a way of representing Sudokus in a file. In that way, our program can read Sudokus from a file, and it is easy for us to create and store several Sudoku puzzles.

The following is an example text-representation that we will use in this assignment. It actually represents the example above.

36..712..
.5....18.
..92.47..
....13.28
4..5.2..9
27.46....
..53.89..
.83....6.
..769..43
There are 9 lines of text in this representation, each corresponding to a row. Each line contains 9 characters. A digit 1 -- 9 represents a filled cell, and a period (.) represents a blank cell.

Assignment B

B1. Implement a function:
printSudoku :: Sudoku -> IO ()
that, given a Sudoku, creates instructions to print the Sudoku on the screen, using the format shown above.

Example:

printSudoku allBlankSudoku
.........
.........
.........
.........
.........
.........
.........
.........
.........
printSudoku example
36..712..
.5....18.
..92.47..
....13.28
4..5.2..9
27.46....
..53.89..
.83....6.
..769..43
B2. Implement a function:
readSudoku :: FilePath -> IO Sudoku
that, given a filename, creates instructions that read the Sudoku from the file, and deliver it as the result of the instructions. You may decide yourself what to do when the file does not contain a representation of a Sudoku.

Examples:

sud <- readSudoku "example.sud"
printSudoku sud
36..712..
.5....18.
..92.47..
....13.28
4..5.2..9
27.46....
..53.89..
.83....6.
..769..43
readSudoku "Sudoku.hs"
Program error: Not a Sudoku!

Hints

To implement the above, you will need to be able to convert between characters (type Char) and digits/integers (type Int). The standard functions show and digitToInt (import the module Data.Char) will come in handy here.

Here are some more functions that might come in handy:

digitToInt :: Char -> Int
putStr     :: String -> IO ()
putStrLn   :: String -> IO ()
readFile   :: FilePath -> IO String
lines      :: String -> [String]
unlines    :: [String] -> String
Here are some example Sudoku-files that you can download and use:

Generating Sudokus as Test Data

Finally, we need to be able to test properties about the functions related to our Sudokus. In order to do so, QuickCheck needs to be able to generate arbitrary Sudokus.

Let us split this problem into a number of smaller problems. First, we need to know how to generate arbitrary cell values (of type Maybe Int). Then, we need to know how to generate 81 such cells, and compose them all into a Sudoku.

Assignment C

C1. Implement a function:
cell :: Gen (Maybe Int)
that, contains instructions for generating a Sudoku cell. You have to think about the following:

Example:

sample cell
Just 3
Nothing
Nothing
Just 7
Nothing
C2. Make Sudokus an instance of the class Arbitrary.
instance Arbitrary Sudoku where
  ...
We have already done this for you in the file Sudoku.hs.
C3. Define a property
prop_Sudoku :: Sudoku -> Bool
that expresses that each generated Sudoku actually is a Sudoku according to Assignment A2. Also use QuickCheck to check that the property actually holds for all Sudokus that are generated.

Hints

Here are some functions from Test.QuickCheck that might come in handy:
sample    :: Show a => Gen a -> IO ()

choose    :: Random a => (a,a) -> Gen a
elements  :: [a] -> Gen a
frequency :: [(Int,Gen a)] -> Gen a
sequence  :: [Gen a] -> Gen [a]
vectorOf  :: Int -> Gen a -> Gen [a]
You might want to take a look at the lecture notes and example code on test data generation.

Rows, Columns, Blocks

Now, we are going to think about what actually constitutes a valid solution of a Sudoku. There are three constraints that a valid solution has to forfill: This leads us to the definition of a block; a block is either a row or a column or a 3x3 block. A block therefore contains 9 cells:
type Block = [Maybe Int]
We are going to define a function that checks if a Sudoku is not violating any of the above constraints, by checking that none of the blocks violate those constraints.

Assignment D

D1. Implement a function:
isOkayBlock :: Block -> Bool
that, given a block, checks if that block does not contain the same digit twice.

Examples:

isOkayBlock [Just 1, Just 7, Nothing, Nothing, Just 3, Nothing, Nothing, Nothing, Just 2]
True
isOkayBlock [Just 1, Just 7, Nothing, Just 7, Just 3, Nothing, Nothing, Nothing, Just 2]
False
D2. Implement a function:
blocks :: Sudoku -> [Block]
that, given a Sudoku, creates a list of all blocks of that Sudoku. This means:

Also add a property that states that, for each Sudoku, there are 3*9 blocks, and each block has exactly 9 cells.

D3. Now, implement a function:
isOkay :: Sudoku -> Bool
that, given a Soduko, checks that all rows, colums and 3x3 blocks do not contain the same digit twice.

Examples:

isOkay allBlankSudoku
True
sud <- readSudoku "example.sud"
isOkay sud
True

Hints

Here are some functions that might come in handy:
nub       :: Eq a => [a] -> [a]
transpose :: [[a]] -> [[a]]
take      :: Int -> [a] -> [a]
drop      :: Int -> [a] -> [a]
Note that some of the above functions only appear when you import Data.List.

You might want to take a look at the exercises and answers on lists and list comprehensions.

Positions and Finding Blanks

We are getting closer to the final solving function. Let us start thinking about how such a function would work.

Given a Sudoku, if there are no blanks left in the Sudoku, we are done. Otherwise, there is at least one blank cell that needs to be filled in somehow. We are going to write functions to find and manipulate blank cells.

It is quite natural to start to talk about positions. A position is a coordinate that identifies a cell in the Sudoku. Here is a way of modelling coordinates:

type Pos = (Int,Int)
We use positions as indicating first the row and then the column. For example, the position (3,5) denotes the 5th cell in the 3rd row.

Note: It is common in programming languages to start counting at 0! Therefore, the position that indicates the upper left corner is (0,0), and the position indicating the lower right corner is (8,8).

Assignment E

E1. Implement a function:
blanks :: Sudoku -> [Pos]
that, given a Sudoku returns a list of the positions in the Sudoku that are still blank. You may decide on the order in which the positions appear.

Examples:

length (blanks allBlankSudoku) == 9*9
True
blanks example
[(0,2),(0,3),(0,7),(0,8),(1,0),(1,2),(1,3),(1,4),(1,5),(1,8),(2,0),(2,1),
 (2,4),(2,7),(2,8),(3,0),(3,1),(3,2),(3,3),(3,6),(4,1),(4,2),(4,4),(4,6),
 (4,7),(5,2),(5,5),(5,6),(5,7),(5,8),(6,0),(6,1),(6,4),(6,7),(6,8),(7,0),
 (7,3),(7,4),(7,5),(7,6),(7,8),(8,0),(8,1),(8,5),(8,6)]

In addition, write a property that states that all cells in the blanks list are actually blank.

E2. Implement a function:
(!!=) :: [a] -> (Int,a) -> [a]
that, given a list, and a tuple containing an index in the list and a new value, updates the given list with the new value at the given index.

Examples:

["a","b","c","d"] !!= (1,"apa")
["a","apa","c","d"]
["p","qq","rrr"] !!= (0,"bepa")
["bepa","qq","rrr"]

Also write (a) propert(y/ies) that state(s) the expected properties of this function. Think about what can go wrong!

E3. Implement a function:
update :: Sudoku -> Pos -> Maybe Int -> Sudoku
that, given a Sudoku, a position, and a new cell value, updates the given Sudoku at the given position with the new value.

Example:

printSudoku (update allBlankSudoku (1,3) (Just 5))
.........
...5.....
.........
.........
.........
.........
.........
.........
.........

Also write a property that checks that the updated position really has gotten the new value.

E4. Implement a function:
candidates :: Sudoku -> Pos -> [Int]
that, given a Sudoku, and a blank position, determines which numbers could be legally written into that position.

Example:

candidates example (0,2)
[4,8]
candidates allBlankSudoku (8,8)
[1,2,3,4,5,6,7,8,9]

In addition, write a property that relates the function candidates with the functions update, isSudoku, and isOkay. (This property can be very useful to understand how to solve Sudokus!)

Hints

There is a standard function (!!) in Haskell for getting a specific element from a list. It starts indexing at 0, so for example to get the first element from a list xs, you can use xs !! 0.

We usually use the standard function zip to pair up elements in a list with their corresponding index. Example:

["apa","bepa","cepa"] `zip` [1..3]
[("apa",1),("bepa",2),("cepa",3)]
This, in combination with list comprehensions, should be very useful for this assignment!

When testing a property that is polymorphic (meaning that it has type variables in its type), you need to add a type signature that picks an arbitrary type. For example, when testing properties for the function (!!=), which works for lists of any type, you have to fix the type when testing, for example lists of Integers. Do this by adding a type signature to your properties.

Here are some more useful functions:

head :: [a] -> a
(!!) :: [a] -> Int -> a
zip  :: [a] -> [b] -> [(a,b)]

Solving Sudokus

Finally, we have all the bits in place to attack our main problem: Solving a given Sudoku.

Our objective is to define a Haskell function

solve :: Sudoku -> Maybe Sudoku
The basic idea is as follows. Function solve must first check that its argument is not already a bad Sudoku. This means that (1) it represents a 9x9 sudoku, (2) it has no blocks (rows, columns, 3x3 blocks) that contain the same digit twice. We will only do this check once. If the argument is bad then solve must return Nothing

Now if we have such a Sudoku sud that we would like to solve, we give it to a recursive helper function solve'.

The solve' function must consider all the blanks in sud. If this list is empty then by (1) and (2) above we are done, and the answer of solve' (and hence solve) must be Just sud.

Otherwise there is at least one blank position. We choose one of them. For this blank position we we try to recursively solve sud, once for each possible candidate; in each recursive case we update the blank cell with a candidate. The first recursive attempt that does not give Nothing provides our solution. But if none of the recursive attempts succeed, we return Nothing.

This method of problem solving is called backtracking.

Assignment F

F1. Implement a function:
solve :: Sudoku -> Maybe Sudoku
using the above idea.

Examples:

printSudoku (fromJust (solve allBlankSudoku))
123456789
456789123
789123456
214365897
365897214
897214365
531642978
642978531
978531642
sud <- readSudoku "example.sud"
printSudoku (fromJust (solve sud))
364871295
752936184
819254736
596713428
431582679
278469351
645328917
983147562
127695843
sud <- readSudoku "impossible.sud"
solve sud
Nothing

(In the above examples, we use the standard function fromJust from the library Data.Maybe.)

F2. For your own convenience, define a function:
readAndSolve :: FilePath -> IO ()
that produces instructions for reading the Sudoku from the given file, solving it, and printing the answer.

Examples:

readAndSolve "example.sud"
364871295
752936184
819254736
596713428
431582679
278469351
645328917
983147562
127695843
readAndSolve "impossible.sud"
(no solution)
F3. Implement a function:
isSolutionOf :: Sudoku -> Sudoku -> Bool
that checks, given two Sudokus, whether the first one is a solution (i.e. all blocks are okay, there are no blanks), and also whether the first one is a solution of the second one (i.e. all digits in the second sudoku are maintained in the first one).

Examples:

fromJust (solve allBlankSudoku) `isSolutionOf` allBlankSudoku
True
allBlankSudoku `isSolutionOf` allBlankSudoku
False
fromJust (solve allBlankSudoku) `isSolutionOf` example
False
F4. Define a property:
prop_SolveSound :: Sudoku -> Property
that says that the function solve is sound. Soundness means that every supposed solution produced by solve actually is a valid solution of the original problem.

Hints

All the work we did in the assignments A -- E should be used in order to implement the function solve.

QuickChecking the property prop_SolveSound will probably take a long time. Be patient! Alternatively, there are a number of things you can do about this.

It is okay if you do not find a completely satisfactory solution to this issue.

Here are some useful functions:

fromJust    :: Maybe a -> a
listToMaybe :: [a] -> Maybe a
catMaybes   :: [Maybe a] -> [a]

Here is an example of an impossible Sudoku:

Extra Assignments (for fun)

Just for fun. You can choose freely whether to do 0, 1 or more of these. Don't expect us to spend time grading these however. There are no perfect, pre-defined answers here.

Submission

Submit your solutions using the Fire system.

Your submission should consist of the following file:

Before you submit your code, Clean It Up! Remember, submitting clean code is Really Important, and simply the polite thing to do. After you feel you are done, spend some time on cleaning your code; make it simpler, remove unneccessary things, etc. We will reject your solution if it is not clean. Clean code:

Feel free to use the hlint program to help with many of these issues and other haskell style issues.

To the Fire System

Good Luck!