A sample problem to solve
I will use as a problem for the purpose the slightly amended version of Problem 8 of Project Euler (https://projecteuler.net/problem=8):
The four adjacent digits (9989) being highlighted in the 1000-digit numbers that have the greatest product are as following:
9 x 9 x 8 x 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
12540698747158523863050715693290963295227443043557
66896648950445244523161731856403098711121722383113
62229893423380308135336276614282806444486645238749
30358907296290491560440772390713810515859307960866
70172427121883998797908792274921901699720888093776
65727333001053367881220235421809751254540594752243
52584907711670556013604839586446706324415722155397
53697817977846174064955149290862569321978468622482
83972241375657056057490261407972968652414535100474
82166370484403199890008895243450658541227588666881
16427171479924442928230863465674813919123162824586
17866458359124566529476545682848912883142607690042
24219022671055626321111109370544217506941658960408
07198403850962455444362981230987879927244284909188
84580156166097919133875499200524063689912560717606
05886116467109405077541002256983155200055935729725
71636269561882670428252483600823257530420752963450
Find the five adjacent digits in the same 1000-digit number that has the greatest product. What is the value of this product?
An imperative monolithic solution
Let me begin by approaching the solution in a straightforward monolithic imperative manner: convert the 1000-character string representing the number into a character array, and then convert it into a cycle across all 996 groups of the five adjacent digits, calculating the digit product of each group and maintaining the current maximum. The final value of the current maximum will be the solution; it's that simple.
In order to remove the input number from the way, let's put it into a separate source code file, HugeNumber.fs
, pulled to the solution scripts with the F# #load
directive. The F# source file HugeNumber.fs
is shown as follows:
[<AutoOpen>]
module HugeNumber
let hugeNumber =
"73167176531330624919225119674426574742355349194934\
96983520312774506326239578318016984801869478851843\
85861560789112949495459501737958331952853208805511\
12540698747158523863050715693290963295227443043557\
66896648950445244523161731856403098711121722383113\
62229893423380308135336276614282806444486645238749\
30358907296290491560440772390713810515859307960866\
70172427121883998797908792274921901699720888093776\
65727333001053367881220235421809751254540594752243\
52584907711670556013604839586446706324415722155397\
53697817977846174064955149290862569321978468622482\
83972241375657056057490261407972968652414535100474\
82166370484403199890008895243450658541227588666881\
16427171479924442928230863465674813919123162824586\
17866458359124566529476545682848912883142607690042\
24219022671055626321111109370544217506941658960408\
07198403850962455444362981230987879927244284909188\
84580156166097919133875499200524063689912560717606\
05886116467109405077541002256983155200055935729725\
71636269561882670428252483600823257530420752963450"
This file is going to be used by all variants of the problem solutions.
Then, F# script
Ch1_1.fsx
implementing an imperative solution will look as follows:
// Imperative monolithic solution a-la C/C++
#load "HugeNumber.fs"
let number = hugeNumber.ToCharArray()
let mutable maxProduct = 0
let charZero = int('0')
for i in 0..995 do
let mutable currentProduct = 1
for j in 0..4 do
currentProduct <- currentProduct * (int(number.[i + j]) - charZero)
if maxProduct < currentProduct then
maxProduct <- currentProduct
printfn "%s %d" "Imperative solution:" maxProduct
The line #load "HugeNumber.fs"
brings a string
value HugeNumber.hugeNumber
from the external code file HugeNumber.fs
into the scope of this script.
The next line, let number = hugeNumber.ToCharArray()
converts this string
value into an array of 1000 individual characters, each representing a single digit.
The next line, let mutable maxProduct = 0
introduces a mutable int
value used to carry the running tally of a maximal product of five adjacent digits.
The following line let charZero = int('0')
is just a helper value used for converting a character code of a digit into an actual int
value in the range of 0 to 9. It represents integer 48
indeed, not 0
as some of you may expect. But given char
values of decimal digits '0'
to '9'
all have adjacent values after being converted to int
, the simple subtraction of charZero
from the result of converting a char
digit x
into an int
will yield exactly x
as an integer. More details on this matter will be given as we proceed further in this chapter.
The following seven lines of F# code are the gist of implementation:
for i in 0..995 do
let mutable currentProduct = 1
for j in 0..4 do
currentProduct <- currentProduct * (int(number.[i + j]) - charZero)
if maxProduct < currentProduct then
maxProduct <- currentProduct
This part of the script performs the following actions:
- The outer numerical
for
loop traverses the number array from the leftmost to the rightmost chunk of the five adjacent character digits, keeping the sequential number of the chunk (0,1,2,...,955
) in the counter value i
. - The binding
let mutable currentProduct = 1
provides a mutable placeholder for the product of the current chunk's digits. - The inner numerical
for
loop traverses a subarray of length 5, calculating currentProduct
by multiplying the intermediary result by the int
value of each digit having sequential number j
using the expression (int(number.[i + j]) - charZero)
. For example, if a current digit is 5
, then int('5') - int('0') = 5
. - An
if
statement closing the outer loop ensures that maxProduct
always contains the maximal product of already traversed chunks; hence, when the loop completes iterating, maxProduct
contains the sought value.
Finally, the line printfn "%s %d" "Imperative solution:" maxProduct
outputs the final result to the system console.
Running the script in its entirety with F# Interactive (FSI) yields the following solution:
There are a few points that I would like to accentuate prior to covering other approaches to solving the problem as follows:
- The solution represents detailed "how-to" instructions
- The solution has been expressed in terms of low-level computer notions, such as statements, loops, and global values
- Values change along the execution, representing the changing state
- The solution code does not look structured, it just flows
An object-oriented solution
Now let me turn to the object-oriented manner of solving the same problem. It is typical for this kind of approach to hide implementation details inside instances of custom classes and manipulate them with the help of their own methods. I will use for this purpose the F# type
feature representing the concept of the .NET object type also known as class (https://docs.microsoft.com/en-us/dotnet/articles/fsharp/language-reference/classes). An object-oriented solution to the problem is present in the following code (script Ch1_2.fsx
):
// Object-oriented solution a-la C# with Iterator pattern
#load "HugeNumber.fs"
open System
open System.Collections.Generic
type OfDigits(digits: char[]) =
let mutable product = 1
do
if digits.Length > 9 then // (9 ** 10) > Int32.MaxValue
raise <| ArgumentOutOfRangeException
("Constrained to max 9 digit numbers")
let charZero = int '0' in
for d in digits do
product <- product * ((int d) - charZero)
member this.Product
with get() = product
type SequenceOfDigits(digits: string, itemLen: int) =
let collection: OfDigits[] =
Array.zeroCreate(digits.Length -itemLen + 1)
do
for i in 0 .. digits.Length - itemLen do
collection.[i] <- OfDigits(digits.[i..
(i+itemLen-1)].ToCharArray())
member this.GetEnumerator() =
(collection :> IEnumerable<OfDigits>).GetEnumerator()
let mutable maxProduct = 1
for item in SequenceOfDigits(hugeNumber,5) do
maxProduct <- max maxProduct item.Product
printfn "%s %d" "Object-oriented solution:" maxProduct
This solution is going to manipulate the objects of two classes. The first class named OfDigits
represents the entity of the digit sequence, the product of which is the subject of our interest. An instance of OfDigits
can be created from an array of a certain size of char
elements carrying digits used as an argument to the OfDigits
type constructor OfDigits(digits: char[])
.
Upon its creation, each instance is associated with the product
field representing the product of its digits. There is a reason for it not being possible to initialize product
at once: in order to be representable as a positive integer value, the product can be constituted of nine digits or fewer (because the product of 10 or more 9 would exceed the maximum 32-bit int
value 2147483647). In order to validate this, product
is kept mutable
and initially gets a value of 1
as given in the following line:
let mutable product = 1
Then, after the length validity check, the OfDigits
constructor provides the genuine value to the field by performing the calculation:
let charZero = int '0' in
for d in digits do
product <- product * ((int d) - charZero)
This value can be accessed via the instance property, Product
as shown in the following line:
member this.Product with get() = product
The another class required to implement the object-oriented solution represents the entity taking a string of digits of arbitrary length and represents it as a generic collection of type OfDigits
, allowing enumeration in order to traverse it and find a member with the maximum Product
property.
For this purpose, the class named SequenceOfDigits
has been equipped with a constructor parameterized by the digits string carrying the input number's digits and the itemLen
length of individual OfDigits
instance arguments. During the SequenceOfDigits
instance construction, all OfDigits
instances are created as elements of the collection field array. The GetEnumerator()
instance method allows you to enumerate this array by upcasting to the System.Collections.Generic.IEnumerable<OfDigits>
interface type and delegating the call to the GetEnumerator()
method of the latter in the following instance method definition:
member this.GetEnumerator() = (collection :> IEnumerable<OfDigits>).GetEnumerator()
Having the preceding two classes at your disposal makes composing the solution of the original problem rather simple: you construct a SequenceOfDigits
instance of five digit OfDigits
elements off hugeNumber
and traverse it with the help of the for...in
cycle, maintaining the maximum product tally similarly to the imperative solution as shown in the following code:
let mutable maxProduct = 1
for item in SequenceOfDigits(hugeNumber,5)
do maxProduct <- max maxProduct item.Product
In the end, place the result on the system console. Running the script in its entirety with F# FSI yields the result of object-oriented solution as shown in the following screenshot:
For those of you familiar with the object-oriented manner of approaching problem solutions, you may anticipate that the second solution rather differs from the first one:
- It is distinctively structured, with the segregation of definitions of pertinent classes from the usage of these classes
- Classes hide details of implementation, allowing usage only through exposed properties and methods
- The solution follows one of the well-known design patterns, namely the iterator pattern
- The amount of effort required for scaffolding substantially exceeds the effort required for the solution per se
Finally, let me turn to the solution manner that this book targets, namely, functional. Let's think of it as a series of data transformations. Let's look at it in a backward direction, from the sought solution back to the input string of digits as follows:
- The sought solution is the result of the
max
aggregate function application to the sequence of all products of five digit sequences. - The sequence of all five digit sequences products is the result of the function application that maps each five digit sequence instance from the sequence of such sequences to the reduce of five digit sequence digits to their product.
- The sequence of all five digit sequences can be produced from the sequence of all initial digits by applying the F# core library windowing function
Seq.windowed<'T>
to the latter. In other words, this means taking a copy sequence of the first five digits from the left-hand side, placing this sequence in the output, shifting to the right of the source sequence by one digit, taking the first five digit copy and putting them after the first group in the output, shifting to the right by one digit of the source again, taking the first five digits, and so on, until there is no more possibility of taking the first five digits from the source. The output sequence of sequences is the sought function application result. - Finally, the sequence of all initial digits is simply the initial string split by single digits, each converted into correspondent
int
from 0 to 9.
Each preceding step describes what transformation I want to apply to the single input argument in order to get the single result. Each next step takes the result of the previous step and treats it as its own input.
Let me show you how I usually derive the working code from the data transformation sketch similar to the preceding one with the help of the Read-Evaluate-Print-Loop (REPL) mode provided by FSI and the shrinking task dimension. The process of sequential progress toward the solution is shown in Fig.1.3, where I gradually start adding transformation steps to reproduce the data transformation process sketched earlier for a string consisting of just 10 digits "0918273645"
by following these steps:
- The input string is piped forward with the F# operator of the same name pipe-forward
|>
as the second argument of Seq.map string
. The result is the sequence of 10 strings, each representing a single digit. - The result of step 1 is piped forward with
|>
as the second argument of Seq.map int
. Now, the result is also the sequence, but it is a sequence of 10 int
numbers, each representing the single digit. - The result of step 2 is piped forward with
|>
as the second argument of Seq.windowed 5
. The result is the sequence of six arrays, each representing five sequentially taken digits of the result of step 2, each time shifting the beginning of the sequence to the right by one position. - The result of step 3 is piped forward with
|>
as the second argument of Seq.map (Seq.reduce (*))
. The first argument is the higher-order function Seq.reduce
converting its argument, which is an array of five numbers to the product of these numbers with the help of the multiplication operator (
*
). The result of this transformation step is just six numbers, each representing the product of the elements of the corresponding digit array. - The result of step 5 is piped into the
Seq.max
aggregate function, which produces the sought maximal product that equals 2520(7 * 3 * 6 * 4 * 5)w
:
Now, after becoming pretty confident that the thought-out solution is good, I can combine the preceding steps 1 to 5 with just another F# function composition operator >>
, which just glues the result of the function to the left as an argument of the function to the right into a very compact F# script provided in the file Ch1_3.fsx
as follows:
#load "HugeNumber.fs"
hugeNumber |> (Seq.map (string >> int) >> Seq.windowed 5
>> Seq.map (Seq.reduce (*)) >> Seq.max
>> printfn "%s %d" "Functional solution:")
The only difference between the preceding complete problem solution code and the smaller problem solution that I was running through a few REPL steps is the input value dimension. The final code uses the same 1000 digit hugeNumber
taken from the source file HugeNumber.fs
in the same manner as the imperative and object-oriented solutions did previously.
Running the script in its entirety with FSI yields the functional solution result shown in the following figure:
The code quality achieved by the functional solution, despite somewhat lengthy accompanying comments, is quite outstanding:
- It does not utilize even a single value carrying an intermediate state
- It contains just one arithmetic multiplication operator absolutely needed for product calculation
- It is extremely succinct
- It almost literally reflects the original "what to do" considerations
- It uses solely half a dozen core F# library functions combined in a certain way, and we may strongly believe that the implementations of these functions are error-free and performant
The preceding bullet points reflect pretty much all the properties typical for an idiomatic functional solution of a small-scale problem. Now I'm going to decipher these properties one by one.