 Overview
 API Documentation
 License
 Requirements and Integration
 Implementation Notes
 Calculation Samples
Overview
This repository provides integer types of arbitrary width implemented
in 100% pure Swift. The underlying representation is in base 2^64, using Array<UInt64>
.
This module is handy when you need an integer type that's wider than UIntMax
, but
you don't want to add The GNU Multiple Precision Arithmetic Library
as a dependency.
Two big integer types are included: BigUInt
and BigInt
,
the latter being the signed variant.
Both of these are Swift structs with copyonwrite value semantics, and they can be used much
like any other integer type.
The library provides implementations for some of the most frequently useful functions on big integers, including

All functionality from
Comparable
andHashable

The full set of arithmetic operators:
+
,
,*
,/
,%
,+=
,=
,*=
,/=
,%=
 Addition and subtraction have variants that allow for shifting the digits of the second operand on the fly.
 Unsigned subtraction will trap when the result would be negative. (There are variants that return an overflow flag.)
 Multiplication uses brute force for numbers up to 1024 digits, then switches to Karatsuba's recursive method.
(This limit is configurable, see
BigUInt.directMultiplicationLimit
.)  A fused multiplyadd method is also available, along with other specialcase variants.
 Division uses Knuth's Algorithm D, with its 3/2 digits wide quotient approximation. It will trap when the divisor is zero.
BigUInt.divide
returns the quotient and remainder at once; this is faster than calculating them separately.

Bitwise operators:
~
,
,&
,^
,=
,&=
,^=
, plus the following readonly properties:width
: the minimum number of bits required to store the integer,trailingZeroBitCount
: the number of trailing zero bits in the binary representation,leadingZeroBitCount
: the number of leading zero bits (when the last digit isn't full),

Shift operators:
>>
,<<
,>>=
,<<=

Methods to convert
NSData
to big integers and vice versa. 
Support for generating random integers of specified maximum width or magnitude.

Radix conversion to/from
String
s and big integers up to base 36 (using repeated divisions). Big integers use this to implement
StringLiteralConvertible
(in base 10).
 Big integers use this to implement

sqrt(n)
: The square root of an integer (using Newton's method). 
BigUInt.gcd(n, m)
: The greatest common divisor of two integers (Stein's algorithm). 
base.power(exponent, modulus)
: Modular exponentiation (righttoleft binary method). Vanilla exponentiation is also available. 
n.inverse(modulus)
: Multiplicative inverse in modulo arithmetic (extended Euclidean algorithm). 
n.isPrime()
: Miller–Rabin primality test.
The implementations are intended to be reasonably efficient, but they are unlikely to be competitive with GMP at all, even when I happened to implement an algorithm with same asymptotic behavior as GMP. (I haven't performed a comparison benchmark, though.)
The library has 100% unit test coverage. Sadly this does not imply that there are no bugs in it.
API Documentation
Generated API docs are available at http://attaswift.github.io/BigInt/.
License
BigInt can be used, distributed and modified under the MIT license.
Requirements and Integration
BigInt 3.0.0 requires Swift 4. (The last version with support for Swift 3.x was BigInt 2.1.0. The last version with support for Swift 2 was BigInt 1.3.0.)
BigInt deploys to macOS 10.10, iOS 9, watchOS 2 and tvOS 9. It has been tested on the latest OS releases onlyhowever, as the module uses very few platformprovided APIs, there should be very few issues with earlier versions.
BigInt uses no APIs specific to Apple platforms except for arc4random_buf
in BigUInt Random.swift
, so
it should be easy to port it to other operating systems.
Setup instructions:

Swift Package Manager: Although the Package Manager is still in its infancy, BigInt provides experimental support for it. Add this to the dependency section of your
Package.swift
manifest:.Package(url: "https://github.com/attaswift/BigInt.git", from: "3.0.0")

CocoaPods: Put this in your
Podfile
:pod 'BigInt', '~> 3.0'

Carthage: Put this in your
Cartfile
:github "attaswift/BigInt" ~> 3.0
Implementation notes
BigUInt
is a MutableCollectionType
of its 64bit digits, with the least significant
digit at index 0. As a convenience, BigUInt
allows you to subscript it with indexes at
or above its count
. The subscript operator returns 0 for outofbound get
s and
automatically extends the array on outofbound set
s. This makes memory management simpler.
BigInt
is just a tiny wrapper around a BigUInt
absolute value and a
sign bit, both of which are accessible as public readwrite properties.
Fullwidth multiplication and division primitives
I haven't found (64,64)>128 multiplication or (128,64)>64 division operations
in Swift, so the module has generic implementations for them in terms of the standard
singlewidth *
and /
operators. I suspect there are LLVM intrinsics for fullwidth
arithmetics that are probably accessible somehow, though. (Let me know if you know how!)
This sounds slow, but 64bit digits are still considerably faster than 32bit, even though the latter can use direct 64bit arithmetic to implement these primitives.
Why is there no generic BigInt<Digit>
type?
The types provided by BigInt
are not parametric—this is very much intentional, as
Swift generics cost us dearly at runtime in this use case. In every approach I tried,
making arbitraryprecision arithmetic operations work with a generic Digit
type parameter
resulted in code that was literally ten times slower. If you can make the algorithms generic
without such a huge performance hit, please enlighten me!
This is an area that I plan to investigate more, as it would be useful to have generic
implementations for arbitrarywidth arithmetic operations. (Polynomial division and decimal bases
are two examples.) The library already implements doubledigit multiplication and division as
extension methods on a protocol with an associated type requirement; this has not measurably affected
performance. Unfortunately, the same is not true for BigUInt
's methods.
Of course, as a last resort, we could just duplicate the code to create a separate generic variant that was slower but more flexible.
Calculation Samples
Obligatory Factorial Demo
It is easy to use BigInt
to calculate the factorial function for any integer:
import BigInt
func factorial(_ n: Int) > BigInt {
return (1 ... n).map { BigInt($0) }.reduce(BigInt(1), *)
}
print(factorial(10))
==> 362880
print(factorial(100))
==> 93326215443944152681699238856266700490715968264381621468592963895217599993229915
6089414639761565182862536979208272237582511852109168640000000000000000000000
print(factorial(1000))
==> 40238726007709377354370243392300398571937486421071463254379991042993851239862902
05920442084869694048004799886101971960586316668729948085589013238296699445909974
24504087073759918823627727188732519779505950995276120874975462497043601418278094
64649629105639388743788648733711918104582578364784997701247663288983595573543251
31853239584630755574091142624174743493475534286465766116677973966688202912073791
43853719588249808126867838374559731746136085379534524221586593201928090878297308
43139284440328123155861103697680135730421616874760967587134831202547858932076716
91324484262361314125087802080002616831510273418279777047846358681701643650241536
91398281264810213092761244896359928705114964975419909342221566832572080821333186
11681155361583654698404670897560290095053761647584772842188967964624494516076535
34081989013854424879849599533191017233555566021394503997362807501378376153071277
61926849034352625200015888535147331611702103968175921510907788019393178114194545
25722386554146106289218796022383897147608850627686296714667469756291123408243920
81601537808898939645182632436716167621791689097799119037540312746222899880051954
44414282012187361745992642956581746628302955570299024324153181617210465832036786
90611726015878352075151628422554026517048330422614397428693306169089796848259012
54583271682264580665267699586526822728070757813918581788896522081643483448259932
66043367660176999612831860788386150279465955131156552036093988180612138558600301
43569452722420634463179746059468257310379008402443243846565724501440282188525247
09351906209290231364932734975655139587205596542287497740114133469627154228458623
77387538230483865688976461927383814900140767310446640259899490222221765904339901
88601856652648506179970235619389701786004081188972991831102117122984590164192106
88843871218556461249607987229085192968193723886426148396573822911231250241866493
53143970137428531926649875337218940694281434118520158014123344828015051399694290
15348307764456909907315243327828826986460278986432113908350621709500259738986355
42771967428222487575867657523442202075736305694988250879689281627538488633969099
59826280956121450994871701244516461260379029309120889086942028510640182154399457
15680594187274899809425474217358240106367740459574178516082923013535808184009699
63725242305608559037006242712434169090041536901059339838357779394109700277534720
00000000000000000000000000000000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000000000000000000000
00000
Well, I guess that's all right, but it's not very interesting. Let's try something more useful.
RSA Cryptography
The BigInt
module provides all necessary parts to implement an (overly)
simple RSA cryptography system.
Let's start with a simple function that generates a random nbit prime. The module
includes a function to generate random integers of a specific size, and also an
isPrime
method that performs the Miller–Rabin primality test. These are all we need:
func generatePrime(_ width: Int) > BigUInt {
while true {
var random = BigUInt.randomInteger(withExactWidth: width)
random = BigUInt(1)
if random.isPrime() {
return random
}
}
}
let p = generatePrime(1024)
==> 13308187650642192396256419911012544845370493728424936791561478318443071617242872
81980956747087187419914435169914161116601678883358611076800743580556055714173922
08406194264346635072293912609713085260354070700055888678514690878149253177960273
775659537560220378850112471985434373425534121373466492101182463962031
let q = generatePrime(1024)
==> 17072954422657145489547308812333368925007949054501204983863958355897172093173783
10108226596943999553784252564650624766276133157586733504784616138305701168410157
80784336308507083874651158029602582993233111593356512531869546706885170044355115
669728424124141763799008880327106952436883614887277350838425336156327
Cool! Now that we have two large primes, we can produce an RSA public/private keypair out of them.
typealias Key = (modulus: BigUInt, exponent: BigUInt)
let n = p * q
==> 22721008120758282530010953362926306641542233757318103044313144976976529789946696
15454966720907712515917481418981591379647635391260569349099666410127279690367978
81184375533755888994370640857883754985364288413796100527262763202679037134021810
57933883525572232242690805678883227791774442041516929419640051653934584376704034
63953169772816907280591934423237977258358097846511079947337857778137177570668391
57455417707100275487770399281417352829897118140972240757708561027087217205975220
02207275447810167397968435583004676293892340103729490987263776871467057582629588
916498579594964478080508868267360515953225283461208420137
let e: BigUInt = 65537
let phi = (p  1) * (q  1)
let d = e.inverse(phi)! // d * e % phi == 1
==> 13964664343869014759736350480776837992604500903989703383202366291905558996277719
77822086142456362972689566985925179681282432115598451765899180050962461295573831
37069237934291884106584820998146965085531433195106686745474222222620986858696591
69836532468835154412554521152103642453158895363417640676611704542784576974374954
45789456921660619938185093118762690200980720312508614337759620606992462563490422
76669559556568917533268479190948959560397579572761529852891246283539604545691244
89999692877158676643042118662613875863504016129837099223040687512684532694527109
80742873307409704484365002175294665608486688146261327793
let publicKey: Key = (n, e)
let privateKey: Key = (n, d)
In RSA, modular exponentiation is used to encrypt (and decrypt) messages.
func encrypt(_ message: BigUInt, key: Key) > BigUInt {
return message.power(key.exponent, modulus: key.modulus)
}
Let's try out our new keypair by converting a string into UTF8, interpreting
the resulting binary representation as a big integer, and encrypting it with the
public key. BigUInt
has an initializer that takes an NSData
, so this is pretty
easy to do:
let secret: BigUInt = BigUInt("Arbitrary precision arithmetic is fun!".dataUsingEncoding(NSUTF8StringEncoding)!)
==> 83323446846105976078466731524728681905293067701804838925389198929123912971229457
68818568737
let cyphertext = encrypt(secret, key: publicKey)
==> 95186982543485985200666516508066093880038842892337880561554910904277290917831453
54854954722744805432145474047391353716305176389470779020645959135298322520888633
61674945129099575943384767330342554525120384485469428048962027149169876127890306
77028183904699491962050888974524603226290836984166164759586952419343589385279641
47999991283152843977988979846238236160274201261075188190509539751990119132013021
74866638595734222867005089157198503204192264814750832072844208520394603054901706
06024394731371973402595826456435944968439153664617188570808940022471990638468783
49208193955207336172861151720299024935127021719852700882
Well, it looks encrypted all right, but can we get the original message back? In theory, encrypting the cyphertext with the private key returns the original message. Let's see:
let plaintext = encrypt(cyphertext, key: privateKey)
==> 83323446846105976078466731524728681905293067701804838925389198929123912971229457
68818568737
let received = String(data: plaintext.serialize(), encoding: NSUTF8StringEncoding)
==> "Arbitrary precision arithmetic is fun!"
Yay! This is truly terrific, but please don't use this example code in an actual cryptography system. RSA has lots of subtle (and some not so subtle) complications that we ignored to keep this example short.
Calculating the Digits of π
Another fun activity to try with BigInt
s is to generate the digits of π.
Let's try implementing Jeremy Gibbon's spigot algorithm.
This is a rather slow algorithm as πgenerators go, but it makes up for it with its grooviness
factor: it's remarkably short, it only uses (big) integer arithmetic, and every iteration
produces a single new digit in the base10 representation of π. This naturally leads to an
implementation as an infinite GeneratorType
:
func digitsOfPi() > AnyGenerator<Int> {
var q: BigUInt = 1
var r: BigUInt = 180
var t: BigUInt = 60
var i: UInt64 = 2 // Does not overflow until digit #826_566_842
return AnyIterator {
let u: UInt64 = 3 * (3 * i + 1) * (3 * i + 2)
let y = (q.multiplied(byDigit: 27 * i  12) + 5 * r) / (5 * t)
(q, r, t) = (
10 * q.multiplied(byDigit: i * (2 * i  1)),
10 * (q.multiplied(byDigit: 5 * i  2) + r  y * t).multiplied(byDigit: u),
t.multiplied(byDigit: u))
i += 1
return Int(y[0])
}
}
Well, that was surprisingly easy. But does it work? Of course it does!
var digits = "π ≈ "
var count = 0
for digit in digitsOfPi() {
assert(digit < 10)
digits += String(digit)
count += 1
if count == 1 { digits += "." }
if count == 1000 { break }
}
digits
==> π ≈ 3.14159265358979323846264338327950288419716939937510582097494459230781640628
62089986280348253421170679821480865132823066470938446095505822317253594081284811
17450284102701938521105559644622948954930381964428810975665933446128475648233786
78316527120190914564856692346034861045432664821339360726024914127372458700660631
55881748815209209628292540917153643678925903600113305305488204665213841469519415
11609433057270365759591953092186117381932611793105118548074462379962749567351885
75272489122793818301194912983367336244065664308602139494639522473719070217986094
37027705392171762931767523846748184676694051320005681271452635608277857713427577
89609173637178721468440901224953430146549585371050792279689258923542019956112129
02196086403441815981362977477130996051870721134999999837297804995105973173281609
63185950244594553469083026425223082533446850352619311881710100031378387528865875
33208381420617177669147303598253490428755468731159562863882353787593751957781857
780532171226806613001927876611195909216420198
Now go and have some fun with big integers on your own!
Github
link 
Stars: 359 
Help us keep the lights on
Dependencies
Used By
Total: 10
Releases
v3.0.2  Dec 25, 2017
3.0.2 (20171225)
This release contains the following packaging fix:
 Fixed product definitions in Package.swift not to create a duplicate library. (Issue #37)
There were no functional changes.
v3.0.1  Oct 10, 2017
This release contains the following bug fixes:
 Issue #27 — changing scope of
kind
andstorage
to befileprivate
 Making
subscript
method ofBigUInt
public
v3.0.0  Sep 7, 2017
This is a major release upgrading BigInt to the new integer protocols introduced in Swift 4 as part of SE0104, Protocoloriented integers.
 Adopting the new protocols involved major, breaking changes throughout the API. These aren't individually listed here.
 The
BigUInt
struct now provides inline storage for big integers that fit inside two words. This optimization speeds up conversions from builtin fixedwidth integer types, amongst other frequent operations. BigInt
andBigUInt
implements the newCodable
protocol. In both cases, values are encoded in an unkeyed container starting with a string indicating the sign ("+"
or""
), followed by a sequence of 64bit unsigned integers representing component words, from least to most significant. New method:
BigInt.modulo
, contributed by @FabioTacke. BigUInt
does not implementCollection
in this release. The collection of words is available in the standard readonlywords
property. Direct public access to collection methods have been removed; if you have been manipulating big integers using collection methods, you need to rewrite your code. If you have a usecase that isn't covered by the public API, please submit a PR adding the missing functionality. (Public readwrite access to the underlying storage insideBigUInt
will not be restored, though.)
BigInt is now part of the Attaswift project. The bundle identifiers in the supplied Xcode project have been updated accordingly.
Note that the URL for the package's Git repository has changed; please update your references.
v2.1.2  Feb 3, 2017
This release contains the following bugfix:
 Issue #12: The iOS target in the supplied Xcode project file no longer copies extraneous files as resources into the framework bundle. The set of such files included generatedocs.sh, which led to App Store rejections for apps that build BigInt using the project file. (Thanks to @arrrnas and @wuftymerguftyguff)
No sourcelevel changes were made.
v2.1.1  Nov 23, 2016
This release restores support for iOS 8.0 and macOS 10.9.