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Church numerals

Church numerals
You are encouraged to solve this task according to the task description, using any language you may know.

In the Church encoding of natural numbers, the number N is encoded by a function that applies its first argument N times to its second argument.

• Church zero always returns the identity function, regardless of its first argument. In other words, the first argument is not applied to the second argument at all.
• Church one applies its first argument f just once to its second argument x, yielding f(x)
• Church two applies its first argument f twice to its second argument x, yielding f(f(x))
• and each successive Church numeral applies its first argument one additional time to its second argument, f(f(f(x))), f(f(f(f(x)))) ... The Church numeral 4, for example, returns a quadruple composition of the function supplied as its first argument.

Arithmetic operations on natural numbers can be similarly represented as functions on Church numerals.

• Church Zero,
• a Church successor function (a function on a Church numeral which returns the next Church numeral in the series),
• functions for Addition, Multiplication and Exponentiation over Church numerals,
• a function to convert integers to corresponding Church numerals,
• and a function to convert Church numerals to corresponding integers.

You should:

• Derive Church numerals three and four in terms of Church zero and a Church successor function.
• use Church numeral arithmetic to obtain the the sum and the product of Church 3 and Church 4,
• similarly obtain 4^3 and 3^4 in terms of Church numerals, using a Church numeral exponentiation function,
• convert each result back to an integer, and return it or print it to the console.

AppleScript

Implementing churchFromInt as a fold seems to protect Applescript from overflowing its (famously shallow) stack with even quite low Church numerals.

--------------------- CHURCH NUMERALS --------------------

-- churchZero :: (a -> a) -> a -> a
on churchZero(f, x)
x
end churchZero

-- churchSucc :: ((a -> a) -> a -> a) -> (a -> a) -> a -> a
on churchSucc(n)
script
on |λ|(f)
script
property mf : mReturn(f)
on |λ|(x)
mf's |λ|(mReturn(n)'s |λ|(mf)'s |λ|(x))
end |λ|
end script
end |λ|
end script
end churchSucc

-- churchFromInt(n) :: Int -> (b -> b) -> b -> b
on churchFromInt(n)
script
on |λ|(f)
foldr(my compose, my |id|, replicate(n, f))
end |λ|
end script
end churchFromInt

-- intFromChurch :: ((Int -> Int) -> Int -> Int) -> Int
on intFromChurch(cn)
mReturn(cn)'s |λ|(my succ)'s |λ|(0)
end intFromChurch

script
on |λ|(f)
script
property mf : mReturn(m)
property nf : mReturn(n)
on |λ|(x)
nf's |λ|(f)'s |λ|(mf's |λ|(f)'s |λ|(x))
end |λ|
end script
end |λ|
end script

on churchMult(m, n)
script
on |λ|(f)
script
property mf : mReturn(m)
property nf : mReturn(n)
on |λ|(x)
mf's |λ|(nf's |λ|(f))'s |λ|(x)
end |λ|
end script
end |λ|
end script
end churchMult

on churchExp(m, n)
n's |λ|(m)
end churchExp

--------------------------- TEST -------------------------
on run
set cThree to churchFromInt(3)
set cFour to churchFromInt(4)

map(intFromChurch, ¬
churchExp(cFour, cThree), churchExp(cThree, cFour)})
end run

------------------------- GENERIC ------------------------

-- compose (<<<) :: (b -> c) -> (a -> b) -> a -> c
on compose(f, g)
script
property mf : mReturn(f)
property mg : mReturn(g)
on |λ|(x)
mf's |λ|(mg's |λ|(x))
end |λ|
end script
end compose

-- id :: a -> a
on |id|(x)
x
end |id|

-- foldr :: (a -> b -> b) -> b -> [a] -> b
on foldr(f, startValue, xs)
tell mReturn(f)
set v to startValue
set lng to length of xs
repeat with i from lng to 1 by -1
set v to |λ|(item i of xs, v, i, xs)
end repeat
return v
end tell
end foldr

-- map :: (a -> b) -> [a] -> [b]
on map(f, xs)
tell mReturn(f)
set lng to length of xs
set lst to {}
repeat with i from 1 to lng
set end of lst to |λ|(item i of xs, i, xs)
end repeat
return lst
end tell
end map

-- Lift 2nd class handler function into 1st class script wrapper
-- mReturn :: First-class m => (a -> b) -> m (a -> b)
on mReturn(f)
if class of f is script then
f
else
script
property |λ| : f
end script
end if
end mReturn

-- Egyptian multiplication - progressively doubling a list, appending
-- stages of doubling to an accumulator where needed for binary
-- assembly of a target length
-- replicate :: Int -> a -> [a]
on replicate(n, a)
set out to {}
if n < 1 then return out
set dbl to {a}

repeat while (n > 1)
if (n mod 2) > 0 then set out to out & dbl
set n to (n div 2)
set dbl to (dbl & dbl)
end repeat
return out & dbl
end replicate

-- succ :: Int -> Int
on succ(x)
1 + x
end succ
Output:
{7, 12, 64, 81}

C#

The following implementation using the "RankNTypes" facilities as per Haskell by using a delegate to represent the recursive functions, and implements the more advanced Church functions such as Church subtraction and division that wouldn't be possible otherwise; if the ability to map functions of higher ranked "Kind's" to be the same type were not included, the Church type would be an infinite undecidable type:

using System;

public delegate Church Church(Church f);

public static class ChurchNumeral
{
public static readonly Church ChurchZero = _ => x => x;
public static readonly Church ChurchOne = f => f;

public static Church Successor(this Church n) => f => x => f(n(f)(x));
public static Church Add(this Church m, Church n) => f => x => m(f)(n(f)(x));
public static Church Multiply(this Church m, Church n) => f => m(n(f));
public static Church Exponent(this Church m, Church n) => n(m);
public static Church IsZero(this Church n) => n(_ => ChurchZero)(ChurchOne);
public static Church Predecessor(this Church n) =>
f => x => n(g => h => h(g(f)))(_ => x)(a => a);
public static Church Subtract(this Church m, Church n) => n(Predecessor)(m);
static Church looper(this Church v, Church d) =>
v(_ => v.divr(d).Successor())(ChurchZero);
static Church divr(this Church n, Church d) =>
n.Subtract(d).looper(d);
public static Church Divide(this Church dvdnd, Church dvsr) =>
(dvdnd.Successor()).divr(dvsr);

public static Church FromInt(int i) =>
i <= 0 ? ChurchZero : Successor(FromInt(i - 1));

public static int ToInt(this Church ch) {
int count = 0;
ch(x => { count++; return x; })(null);
return count;
}

public static void Main() {
Church c3 = FromInt(3);
Church c4 = c3.Successor();
Church c11 = FromInt(11);
Church c12 = c11.Successor();
int product = c3.Multiply(c4).ToInt();
int exp43 = c4.Exponent(c3).ToInt();
int exp34 = c3.Exponent(c4).ToInt();
int tst0 = ChurchZero.IsZero().ToInt();
int pred4 = c4.Predecessor().ToInt();
int sub43 = c4.Subtract(c3).ToInt();
int div11by3 = c11.Divide(c3).ToInt();
int div12by3 = c12.Divide(c3).ToInt();
Console.Write($"{sum} {product} {exp43} {exp34} {tst0} "); Console.WriteLine($"{pred4} {sub43} {div11by3} {div12by3}");
}
}
Output:
7 12 64 81 1 3 1 3 4

The Church Division function is implemented by recursively counting the number of times the divisor can be subtracted from the dividend until it reaches zero, and as C# methods do not allow direct recursion, rather than using a Y-Combinator to implement this just uses mutually recursive private sub methods.

Chapel

Chapel doesn't have first class closure functions, so they are emulated using the default method of inherited classes with fields containing the necessary captured values. The instantiated classes are shared (reference counted) to avoid any chance that references within their use causes memory leaks. As with some other statically typed languages, Chapel's implementation of generics is not "type complete" as to automatically doing beta reduction, so the following code implements a recursively defined class as a wrapper so as to be able to handle that, just as many other statically-typed languages need to do:

Translation of: F#
class Church { // identity Church function by default
proc this(f: shared Church): shared Church { return f; }
}

// utility Church functions...
class ComposeChurch : Church {
const l, r: shared Church;
override proc this(f: shared Church): shared Church {
return l(r(f)); }
}

proc composeChurch(chl: shared Church, chr: shared Church) : shared Church {
return new shared ComposeChurch(chl, chr): shared Church;
}

class ConstChurch : Church {
const ch: shared Church;
override proc this(f: shared Church): shared Church { return ch; }
}

proc constChurch(ch: shared Church): shared Church {
return new shared ConstChurch(ch): shared Church;
}

// Church constants...
const cIdentityChurch: shared Church = new shared Church();
const cChurchZero = constChurch(cIdentityChurch);
const cChurchOne = cIdentityChurch; // default is identity!

// Church functions...
class SuccChurch: Church {
const curr: shared Church;
override proc this(f: shared Church): shared Church {
return composeChurch(f, curr(f)); }
}

proc succChurch(ch: shared Church): shared Church {
return new shared SuccChurch(ch) : shared Church;
}

const chf, chs: shared Church;
override proc this(f: shared Church): shared Church {
return composeChurch(chf(f), chs(f)); }
}

proc addChurch(cha: shared Church, chb: shared Church): shared Church {
return new shared AddChurch(cha, chb) : shared Church;
}

class MultChurch: Church {
const chf, chs: shared Church;
override proc this(f: shared Church): shared Church {
return composeChurch(chf, chs)(f); }
}

proc multChurch(cha: shared Church, chb: shared Church): shared Church {
return new shared MultChurch(cha, chb) : shared Church;
}

class ExpChurch : Church {
const b, e : shared Church;
override proc this(f : shared Church): shared Church { return e(b)(f); }
}

proc expChurch(chbs: shared Church, chexp: shared Church): shared Church {
return new shared ExpChurch(chbs, chexp) : shared Church;
}

class IsZeroChurch : Church {
const c : shared Church;
override proc this(f : shared Church): shared Church {
return c(constChurch(cChurchZero))(cChurchOne)(f); }
}

proc isZeroChurch(ch: shared Church): shared Church {
return new shared IsZeroChurch(ch) : shared Church;
}

class PredChurch : Church {
const c : shared Church;
class XFunc : Church {
const cf, fnc: shared Church;
class GFunc : Church {
const fnc: shared Church;
class HFunc : Church {
const fnc, g: shared Church;
override proc this(f : shared Church): shared Church {
return f(g(fnc)); }
}
override proc this(f : shared Church): shared Church {
return new shared HFunc(fnc, f): shared Church; }
}
override proc this(f : shared Church): shared Church {
const prd = new shared GFunc(fnc): shared Church;
return cf(prd)(constChurch(f))(cIdentityChurch); }
}
override proc this(f : shared Church): shared Church {
return new shared XFunc(c, f) : shared Church; }
}

proc predChurch(ch: shared Church): shared Church {
return new shared PredChurch(ch) : shared Church;
}

class SubChurch : Church {
const a, b : shared Church;
class PredFunc : Church {
override proc this(f : shared Church): shared Church {
return new shared PredChurch(f): shared Church;
}
}
override proc this(f : shared Church): shared Church {
const prdf = new shared PredFunc(): shared Church;
return b(prdf)(a)(f); }
}

proc subChurch(cha: shared Church, chb: shared Church): shared Church {
return new shared SubChurch(cha, chb) : shared Church;
}

class DivrChurch : Church {
const v, d : shared Church;
override proc this(f : shared Church): shared Church {
const loopr = constChurch(succChurch(divr(v, d)));
return v(loopr)(cChurchZero)(f); }
}

proc divr(n: shared Church, d : shared Church): shared Church {
return new shared DivrChurch(subChurch(n, d), d): shared Church;
}

proc divChurch(chdvdnd: shared Church, chdvsr: shared Church): shared Church {
return divr(succChurch(chdvdnd), chdvsr);
}

// conversion functions...
proc loopChurch(i: int, ch: shared Church) : shared Church { // tail call...
return if (i <= 0) then ch else loopChurch(i - 1, succChurch(ch));
}

proc churchFromInt(n: int): shared Church {
return loopChurch(n, cChurchZero); // can't embed "worker" proc!
}

class IntChurch : Church {
const value: int;
}

class IncChurch : Church {
override proc this(f: shared Church): shared Church {
const tst = f: IntChurch;
if tst != nil {
return new shared IntChurch(tst.value + 1): shared Church; }
else return f; } // shouldn't happen!
}

proc intFromChurch(ch: shared Church): int {
const zero = new shared IntChurch(0): shared Church;
const tst = ch(new shared IncChurch(): shared Church)(zero): IntChurch;
if tst != nil { return tst.value; }
else return -1; // should never happen!
}

// testing...
const ch3 = churchFromInt(3); const ch4 = succChurch(ch3);
const ch11 = churchFromInt(11); const ch12 = succChurch(ch11);
write(intFromChurch(multChurch(ch3, ch4)), ", ");
write(intFromChurch(expChurch(ch3, ch4)), ", ");
write(intFromChurch(expChurch(ch4, ch3)), ", ");
write(intFromChurch(isZeroChurch(cChurchZero)), ", ");
write(intFromChurch(isZeroChurch(ch3)), ", ");
write(intFromChurch(predChurch(ch4)), ", ");
write(intFromChurch(predChurch(cChurchZero)), ", ");
write(intFromChurch(subChurch(ch11, ch3)), ", ");
write(intFromChurch(divChurch(ch11, ch3)), ", ");
writeln(intFromChurch(divChurch(ch12, ch3)));
Output:
7, 12, 81, 64, 1, 0, 3, 0, 8, 3, 4

The above exercise goes to show that, although Chapel isn't a functional paradigm language in many senses, it can handle functional paradigms, although with some difficulty and complexity due to not having true lambda functions that are closures...

Clojure

Translation of: Raku
(defn zero  [f]   identity)
(defn succ [n] (fn [f] (fn [x] (f ((n f) x)))))
(defn add [n,m] (fn [f] (fn [x] ((m f)((n f) x)))))
(defn mult [n,m] (fn [f] (fn [x] ((m (n f)) x))))
(defn power [b,e] (e b))

(defn to-int [c] (let [countup (fn [i] (+ i 1))] ((c countup) 0)))

(defn from-int [n]
(letfn [(countdown [i] (if (zero? i) zero (succ (countdown (- i 1)))))]
(countdown n)))

(def three (succ (succ (succ zero))))
(def four (from-int 4))

(doseq [n [(add three four) (mult three four)
(power three four) (power four three)]]
(println (to-int n)))
Output:
7
12
81
64

Crystal

Although the Crystal language is by no means a functional language, it does offer the feature of "Proc"'s/lambda's which are even closures, meaning that they can capture environment state from outside the scope of their body. Using these plus a structure to act as a wrapper for the recursive typed Church functions and the Union types to be able to eliminate having to use side effects, the following code for the Extended Church Numeral functions was written (this wasn't written generically, but that isn't that important to the Task):

Translation of: F#
struct Church # can't be generic!
getter church : (Church -> Church) | Int32
def initialize(@church) end
def apply(ch)
chf = @church
chf.responds_to?(:call) ? chf.call(ch) : self
end
def compose(chr)
chlf = @church
chrf = chr.church
if chlf.responds_to?(:call) && chrf.responds_to?(:call)
Church.new(-> (f : Church) { chlf.call(chrf.call(f)) })
else
self
end
end
end

# Church Numeral constants...
CHURCH_ZERO = begin
Church.new(-> (f : Church) {
Church.new(-> (x : Church) { x }) })
end

CHURCH_ONE = begin
Church.new(-> (f : Church) { f })
end

# Church Numeral functions...
def succChurch
-> (ch : Church) {
Church.new(-> (f : Church) { f.compose(ch.apply(f)) }) }
end

-> (cha : Church, chb : Church) {
Church.new(-> (f : Church) { cha.apply(f).compose(chb.apply(f)) }) }
end

def multChurch
-> (cha : Church, chb : Church) { cha.compose(chb) }
end

def expChurch
-> (chbs : Church, chexp : Church) { chexp.apply(chbs) }
end

def isZeroChurch
liftZero = Church.new(-> (f : Church) { CHURCH_ZERO })
-> (ch : Church) { ch.apply(liftZero).apply(CHURCH_ONE) }
end

def predChurch
-> (ch : Church) {
Church.new(-> (f : Church) { Church.new(-> (x : Church) {
prd = Church.new(-> (g : Church) { Church.new(-> (h : Church) {
h.apply(g.apply(f)) }) })
frst = Church.new(-> (d : Church) { x })
id = Church.new(-> (a : Church) { a })
ch.apply(prd).apply(frst).apply(id)
}) }) }
end

def subChurch
-> (cha : Church, chb : Church) {
chb.apply(Church.new(predChurch)).apply(cha) }
end

def divr # can't be nested in another def...
-> (n : Church, d: Church) {
tstr = -> (v : Church) {
loopr = Church.new(-> (a : Church) {
succChurch.call(divr.call(v, d)) }) # recurse until zero
v.apply(loopr).apply(CHURCH_ZERO) }
tstr.call(subChurch.call(n, d)) }
end

def divChurch
-> (chdvdnd : Church, chdvsr : Church) {
divr.call(succChurch.call(chdvdnd), chdvsr) }
end

# conversion functions...
def intToChurch(i) : Church
rslt = CHURCH_ZERO
cntr = 0
while cntr < i
rslt = succChurch.call(rslt)
cntr += 1
end
rslt
end

def churchToInt(ch) : Int32
succInt32 = Church.new(-> (v : Church) {
vi = v.church
vi.is_a?(Int32) ? Church.new(vi + 1) : v })
rslt = ch.apply(succInt32).apply(Church.new(0)).church
rslt.is_a?(Int32) ? rslt : -1
end

# testing...
ch3 = intToChurch(3)
ch4 = succChurch.call(ch3)
ch11 = intToChurch(11)
ch12 = succChurch.call(ch11)
mult = churchToInt(multChurch.call(ch3, ch4))
exp1 = churchToInt(expChurch.call(ch3, ch4))
exp2 = churchToInt(expChurch.call(ch4, ch3))
iszero1 = churchToInt(isZeroChurch.call(CHURCH_ZERO))
iszero2 = churchToInt(isZeroChurch.call(ch3))
pred1 = churchToInt(predChurch.call(ch4))
pred2 = churchToInt(predChurch.call(CHURCH_ZERO))
sub = churchToInt(subChurch.call(ch11, ch3))
div1 = churchToInt(divChurch.call(ch11, ch3))
div2 = churchToInt(divChurch.call(ch12, ch3))
print("#{add} #{mult} #{exp1} #{exp2} #{iszero1} #{iszero2} ")
print("#{pred1} #{pred2} #{sub} #{div1} #{div2}\r\n")
Output:
7 12 81 64 1 0 3 0 8 3 4

Elm

Elm is a fully functional language just as Haskell is, so it is possible to almost directly translate the Haskell implementation as per the following code; note that type signatures have been added as is recommended in both Haskell and Elm for top-level constants/functions and that missing Elm functions as in succ and flip have been created inline:

module Main exposing ( main )

import Html exposing ( Html, text )

type alias Church a = (a -> a) -> a -> a

churchZero : Church a -- a Church constant
churchZero = always identity

succChurch : Church a -> Church a
succChurch ch = \ f -> f << ch f -- add one recursion

addChurch : Church a -> Church a -> Church a
addChurch chaf chbf = \ f -> chaf f << chbf f

multChurch : Church a -> Church a -> Church a
multChurch = (<<)

expChurch : Church a -> (Church a -> Church a) -> Church a
expChurch = (\ f x y -> f y x) identity -- flip inlined

churchFromInt : Int -> Church a
churchFromInt n = if n <= 0 then churchZero
else succChurch <| churchFromInt (n - 1)

intFromChurch : Church Int -> Int
intFromChurch cn = cn ((+) 1) 0 -- succ inlined

--------------------------- TEST -------------------------
main : Html Never
main =
let cThree = churchFromInt 3
cFour = succChurch cThree
, multChurch cThree cFour
, expChurch cThree cFour
, expChurch cFour cThree
] |> List.map intFromChurch
|> Debug.toString |> text
Output:
[7,12,81,64]

Extended Church Numeral Functions

Translation of: F#
module Main exposing (main)

import Html exposing (text)

-- the Church wrapper and functions...
type Church a = Church (Church a -> Church a)
| ArityZero a -- treat a value as a function
applyChurch : Church a -> Church a -> Church a
applyChurch ch charg = case ch of Church chf -> chf charg
ArityZero _ -> charg -- never happens!
composeChurch : Church a -> Church a -> Church a
composeChurch chl chr =
case chl of Church chlf ->
case chr of Church chrf -> Church <| \ f -> (chlf << chrf) f
otherwise -> chr -- never happens!
otherwise -> chr -- never happens!

-- the Church Numeral functions...
churchZero : Church a
churchZero = Church <| always <| Church identity
churchOne : Church a
churchOne = Church identity
succChurch : Church a -> Church a
succChurch ch = Church <| \ f -> composeChurch f <| applyChurch ch f
addChurch : Church a -> Church a -> Church a
Church <| \ f -> composeChurch (applyChurch cha f) (applyChurch chb f)
multChurch : Church a -> Church a -> Church a
multChurch cha chb = composeChurch cha chb
expChurch : Church a -> Church a -> Church a
expChurch chbs chexp = applyChurch chexp chbs
isZeroChurch : Church a -> Church a
isZeroChurch ch =
applyChurch (applyChurch ch (Church <| \ _ -> churchZero)) churchOne
predChurch : Church a -> Church a
predChurch ch =
Church <| \ f -> Church <| \ x ->
let prdf = Church <| \ g -> Church <| \ h ->
applyChurch h (applyChurch g f)
in applyChurch (applyChurch (applyChurch ch prdf)
(Church <| \ _ -> x)) <| Church identity
subChurch : Church a -> Church a -> Church a
subChurch cha chb = applyChurch (applyChurch chb <| Church predChurch) cha

divChurch : Church a -> Church a -> Church a
divChurch chdvdnd chdvsr =
let divr n =
let loop v = Church <| \ _ -> succChurch <| divr v
tst v = applyChurch (applyChurch v <| loop v) churchZero
in tst <| subChurch n chdvsr
in divr <| succChurch chdvdnd

-- conversion functions...
intToChurch : Int -> Church a
intToChurch i = List.foldl (\ _ ch -> succChurch ch) churchZero (List.range 1 i)
churchToInt : Church Int -> Int
churchToInt ch =
let succInt = Church <| \ ach -> case ach of ArityZero v -> ArityZero (v + 1)
otherwise -> ach -- never happens!
in case applyChurch (applyChurch ch succInt) <| ArityZero 0 of
ArityZero r -> r
otherwise -> -1 -- never happens!

--------------------------------------TEST--------------------------------------
main : Html.Html Never
main =
let chThree = intToChurch 3
chFour = succChurch chThree
chEleven = intToChurch 11
chTwelve = succChurch chEleven
, multChurch chThree chFour
, expChurch chThree chFour
, expChurch chFour chThree
, isZeroChurch churchZero
, isZeroChurch chThree
, predChurch chFour
, subChurch chEleven chThree
, divChurch chEleven chThree
, divChurch chTwelve chThree
] |> List.map (String.fromInt << churchToInt)
|> String.join ", " |> text
Output:
7, 12, 81, 64, 1, 0, 3, 8, 3, 4

The "churchToInt" function works by applying an integer successor function which takes an "arity zero" value and returns an "arity zero" containing that value plus one, then applying an "arity zero" wrapped integer value of zero to the resulting Church value; the result of that is unwrapped to result in the desired integer returned value. The idea of using "arity zero" values as function values is borrowed from Haskell, which wraps all values as data types including integers, etc. (all other than primitive values are thus "lifted"), which allows them to be used as functions. Since Haskell has Type Classes which F# and Elm do not, this is not so obvious in Haskell code which is able to treat values such as "lifted" integers as functions automatically, and thus apply the same Type Class functions to them as to regular (also "lifted") functions. Here in the F# code, the necessary functions that would normally be part of the Functor and Applicative Type Classes as applied to Functions in Haskell are supplied here to work with the Discriminated Union/custom type wrapping of this Function idea.

Erlang

Translation of: Raku
-module(church).
-export([main/1, zero/1]).
zero(_) -> fun(F) -> F end.
succ(N) -> fun(F) -> fun(X) -> F((N(F))(X)) end end.
add(N,M) -> fun(F) -> fun(X) -> (M(F))((N(F))(X)) end end.
mult(N,M) -> fun(F) -> fun(X) -> (M(N(F)))(X) end end.
power(B,E) -> E(B).

to_int(C) -> CountUp = fun(I) -> I + 1 end, (C(CountUp))(0).

from_int(0) -> fun church:zero/1;
from_int(I) -> succ(from_int(I-1)).

main(_) ->
Zero = fun church:zero/1,
Three = succ(succ(succ(Zero))),
Four = from_int(4),
lists:map(fun(C) -> io:fwrite("~w~n",[to_int(C)]) end,
power(Three,Four), power(Four,Three)]).

Output:
7
12
81
64

F#

The following code uses the usual F# recommended work around to implement Haskell's "RankNTypes" so that the Church functions can represent functions of any Kind rank by using an abstract Interface type to represent it and create and instantiate a new type for every invocation of the wrapped function as required to implement this more complete set of Church functions, especially subtraction and division:

Translation of: C sharp
type IChurch =
abstract Apply : ('a -> 'a) -> ('a -> 'a)

let zeroChurch = { new IChurch with override __.Apply _ = id }
let oneChurch = { new IChurch with override __.Apply f = f }
let succChurch (n: IChurch) =
{ new IChurch with override __.Apply f = fun x -> f (n.Apply f x) }
let addChurch (m: IChurch) (n: IChurch) =
{ new IChurch with override __.Apply f = fun x -> m.Apply f (n.Apply f x) }
let multChurch (m: IChurch) (n: IChurch) =
{ new IChurch with override __.Apply f = m.Apply (n.Apply f) }
let expChurch (m: IChurch) (n: IChurch) =
{ new IChurch with override __.Apply f = n.Apply m.Apply f }
let iszeroChurch (n: IChurch) =
{ new IChurch with
override __.Apply f = n.Apply (fun _ -> zeroChurch.Apply) oneChurch.Apply f }
let predChurch (n: IChurch) =
{ new IChurch with
override __.Apply f = fun x -> n.Apply (fun g h -> h (g f))
(fun _ -> x) id }
let subChurch (m: IChurch) (n: IChurch) =
{ new IChurch with override __.Apply f = (n.Apply predChurch m).Apply f }
let divChurch (dvdnd: IChurch) (dvsr: IChurch) =
let rec divr (n: IChurch) (d: IChurch) =
{ new IChurch with
override __.Apply f =
((fun (v: IChurch) -> // test v for Church zeroChurch...
v.Apply (fun _ -> (succChurch (divr v d)).Apply) // if not zeroChurch
zeroChurch.Apply)(subChurch n d)) f }
divr (succChurch dvdnd) dvsr

let chtoi (ch: IChurch) = ch.Apply ((+) 1) 0
let itoch i = List.fold (>>) id (List.replicate i succChurch) zeroChurch

#nowarn "25" // skip incomplete pattern warning
[<EntryPoint>]
let main _ =
let [c3; c4; c11; c12] = List.map itoch [3; 4; 11; 12]

; multChurch c3 c4
; expChurch c3 c4
; expChurch c4 c3
; iszeroChurch zeroChurch
; iszeroChurch oneChurch
; predChurch c3
; subChurch c11 c3
; divChurch c11 c3
; divChurch c12 c3
] |> List.map chtoi |> printfn "%A"
0 // return an integer exit code
Output:
[7; 12; 81; 64; 1; 0; 2; 8; 3; 4]

Using the Abstract Interface work around is extremely slow, especially for the recursive Church division function which requires many type creations and instantiations such that the execution time for even these small numbers can take many many seconds.

Alternate Method Using Discriminated Unions

The above code is not only slow but ugly, and given that it breaks all static typing by using dynamic type erasing through interfaces/objects, it might be said to be fugly!

The following code uses F#'s Discriminated Unions to express the multi-ranked function Kinds that work like C# delegates; this code still uses side effects to convert the resulting Church Numerals, which is a facility that F# offers so we may as well use it since it is easily expressed:

Translation of: C sharp
// types...
type Church = Church of (Church -> Church)
let applyChurch (Church chf) charg = chf charg
let composeChurch (Church chlf) (Church chrf) =
Church <| fun f -> (chlf << chrf) f

let churchZero = Church(fun _ -> Church id)
let churchOne = Church id
let succChurch (Church chf) =
Church <| fun f -> composeChurch f <| chf f
Church <| fun f -> composeChurch (applyChurch cha f) (applyChurch chb f)
let multChurch cha chb =
composeChurch cha chb
let expChurch chbs chexp =
applyChurch chexp chbs
let isZeroChurch ch =
applyChurch (applyChurch ch (Church <| fun _ -> churchZero)) churchOne
let predChurch ch =
Church <| fun f -> Church <| fun x ->
let prdf = Church <| fun g -> Church <| fun h ->
applyChurch h (applyChurch g f)
applyChurch (applyChurch (applyChurch ch prdf)
(Church <| fun _ -> x)) <| Church id
let subChurch cha chb =
applyChurch (applyChurch chb <| Church predChurch) cha

let divChurch chdvdnd chdvsr =
let rec divr n =
let loop v = Church <| fun _ -> succChurch <| divr v
let tst v = applyChurch (applyChurch v <| loop v) churchZero
tst <| subChurch n chdvsr
divr <| succChurch chdvdnd

let intToChurch i =
List.fold (>>) id (List.replicate i succChurch) churchZero
let churchToInt ch =
let mutable count: int = 0
let addint1 = Church <| fun v -> count <- count + 1; v
applyChurch (applyChurch ch addint1) churchZero |> ignore
count

#nowarn "25" // eliminate incomplete pattern match warning
[<EntryPoint>]
let main _ =
let [c3; c4; c11; c12] = List.map intToChurch [3; 4; 11; 12]
; multChurch c3 c4
; expChurch c3 c4
; expChurch c4 c3
; isZeroChurch churchZero
; isZeroChurch c3
; predChurch c4
; subChurch c11 c3
; divChurch c11 c3
; division c12 c3
] |> List.map churchToInt |> printfn "%A"
0 // return an integer exit code
Output:
[7; 12; 81; 64; 1; 0; 2; 8; 3; 4]

The above code is hundreds of times faster than the previous code taking only a tiny fraction of a second, which shows that using the marshalling kluge as per the previous code isn't necessary and is the wrong way to implement this task.

Using Pure Functional Code

One can achieve functional purity (without side effects) within the "RankNTypes" functions defined using the recursive Discriminated Unions as per the above code by including a tag of the "arity zero" case which just wraps a value. The following code uses that to be able to convert from Church Numerals to integers without using side effects:

#nowarn "25" // eliminate incomplete pattern match warning

// types...
type Church<'a> = Church of (Church<'a> -> Church<'a>)
| ArityZero of '
a
let applyChurch (Church chf) charg =
chf charg
let composeChurch (Church chlf) (Church chrf) =
Church <| fun f -> (chlf << chrf) f

let churchZero<'a> = Church <| fun (_: Church<'a>) -> Church id
let churchOne = Church id
let succChurch (Church chf) =
Church <| fun f -> composeChurch f <| chf f
Church <| fun f -> composeChurch (applyChurch cha f) (applyChurch chb f)
let multChurch cha chb =
composeChurch cha chb
let expChurch chbs chexp =
applyChurch chexp chbs
let isZeroChurch ch =
applyChurch (applyChurch ch (Church <| fun _ -> churchZero)) churchOne
let predChurch ch =
Church <| fun f -> Church <| fun x ->
let prdf = Church <| fun g -> Church <| fun h ->
applyChurch h (applyChurch g f)
applyChurch (applyChurch (applyChurch ch prdf)
(Church <| fun _ -> x)) <| Church id
let subChurch cha chb =
applyChurch (applyChurch chb <| Church predChurch) cha

let divChurch chdvdnd chdvsr =
let rec divr n =
let loop v = Church <| fun _ -> succChurch <| divr v
let tst v = applyChurch (applyChurch v <| loop v) churchZero
tst <| subChurch n chdvsr
divr <| succChurch chdvdnd

let intToChurch<'a> i =
List.fold (>>) id (List.replicate i succChurch) churchZero<'
a>
let churchToInt ch =
let succInt = Church <| fun (ArityZero v) -> ArityZero <| v + 1
match applyChurch (applyChurch ch succInt) <| ArityZero 0 with
ArityZero r -> r

[<EntryPoint>]
let main _ =
let [c3; c4; c11; c12] = List.map intToChurch [3; 4; 11; 12]
; multChurch c3 c4
; expChurch c3 c4
; expChurch c4 c3
; isZeroChurch churchZero
; isZeroChurch c3
; predChurch c4
; subChurch c11 c3
; divChurch c11 c3
; divChurch c12 c3
] |> List.map churchToInt |> printfn "%A"
0 // return an integer exit code
Output:
[7; 12; 81; 64; 1; 0; 2; 8; 3; 4]

The above code runs at about the same speed as the Discriminated Union version with side effects.

Since F# allows non-total matching and will just generate an exception for cases not covered, the warning for non-used matches has been suppressed.

The "churchToInt" function works by applying an integer successor function which takes an "arity zero" value and returns an "arity zero" containing that value plus one, then applying an "arity zero" wrapped integer value of zero to the resulting Church value; the result of that is unwrapped to result in the desired integer returned value. The idea of using "arity zero" values as function values is borrowed from Haskell, which wraps all values as data types including integers, etc. (all other than primitive values are thus "lifted"), which allows them to be used as functions. Since Haskell has Type Classes which F# does not, this is not so obvious in Haskell code which is able to treat values such as "lifted" integers as functions automatically, and thus apply the same Type Class functions to them as to regular (also "lifted") functions. Here in the F# code, the necessary functions that would normally be part of the Functor and Applicative Type Classes as applied to Functions in Haskell are supplied here to work with the Discriminated Union wrapping of this Function idea.

Fōrmulæ

Fōrmulæ programs are not textual, visualization/edition of programs is done showing/manipulating structures but not text. Moreover, there can be multiple visual representations of the same program. Even though it is possible to have textual representation —i.e. XML, JSON— they are intended for storage and transfer purposes more than visualization and edition.

Programs in Fōrmulæ are created/edited online in its website, However they run on execution servers. By default remote servers are used, but they are limited in memory and processing power, since they are intended for demonstration and casual use. A local server can be downloaded and installed, it has no limitations (it runs in your own computer). Because of that, example programs can be fully visualized and edited, but some of them will not run if they require a moderate or heavy computation/memory resources, and no local server is being used.

Go

package main

import "fmt"

type any = interface{}

type fn func(any) any

type church func(fn) fn

func zero(f fn) fn {
return func(x any) any {
return x
}
}

func (c church) succ() church {
return func(f fn) fn {
return func(x any) any {
return f(c(f)(x))
}
}
}

func (c church) add(d church) church {
return func(f fn) fn {
return func(x any) any {
return c(f)(d(f)(x))
}
}
}

func (c church) mul(d church) church {
return func(f fn) fn {
return func(x any) any {
return c(d(f))(x)
}
}
}

func (c church) pow(d church) church {
di := d.toInt()
prod := c
for i := 1; i < di; i++ {
prod = prod.mul(c)
}
return prod
}

func (c church) toInt() int {
return c(incr)(0).(int)
}

func intToChurch(i int) church {
if i == 0 {
return zero
} else {
return intToChurch(i - 1).succ()
}
}

func incr(i any) any {
return i.(int) + 1
}

func main() {
z := church(zero)
three := z.succ().succ().succ()
four := three.succ()

fmt.Println("three ->", three.toInt())
fmt.Println("four ->", four.toInt())
fmt.Println("three * four ->", three.mul(four).toInt())
fmt.Println("three ^ four ->", three.pow(four).toInt())
fmt.Println("four ^ three ->", four.pow(three).toInt())
fmt.Println("5 -> five ->", intToChurch(5).toInt())
}
Output:
three        -> 3
four         -> 4
three + four -> 7
three * four -> 12
three ^ four -> 81
four ^ three -> 64
5 -> five    -> 5

Groovy

class ChurchNumerals {
static void main(args) {

def zero = { f -> { a -> a } }
def succ = { n -> { f -> { a -> f(n(f)(a)) } } }
def add = { n -> { k -> { n(succ)(k) } } }
def mult = { f -> { g -> { a -> f(g(a)) } } }
def pow = { f -> { g -> g(f) } }

def toChurchNum
toChurchNum = { n ->
n == 0 ? zero : succ(toChurchNum(n - 1))
}

def toInt = { n ->
n(x -> x + 1)(0)
}

def three = succ(succ(succ(zero)))
println toInt(three) // prints 3

def four = succ(three)
println toInt(four) // prints 4

println "3 + 4 = ${toInt(add(three)(four))}" // prints 3 + 4 = 7 println "4 + 3 =${toInt(add(four)(three))}" // prints 4 + 3 = 7

println "3 * 4 = ${toInt(mult(three)(four))}" // prints 3 * 4 = 12 println "4 * 3 =${toInt(mult(four)(three))}" // prints 4 * 3 = 12

println "3 ^ 4 = ${toInt(pow(three)(four))}" // prints 3 ^ 4 = 81 println "4 ^ 3 =${toInt(pow(four)(three))}" // prints 4 ^ 3 = 64
}
}

Output:
3
4
3 + 4 = 7
4 + 3 = 7
3 * 4 = 12
4 * 3 = 12
3 ^ 4 = 81
4 ^ 3 = 64

The following code implements the more complex Church functions using unsafeCoerce to avoid non-decidable infinite types:

import Unsafe.Coerce ( unsafeCoerce )

type Church a = (a -> a) -> a -> a

churchZero :: Church a
churchZero = const id

churchOne :: Church a
churchOne = id

succChurch :: Church a -> Church a
succChurch = (<*>) (.) -- add one recursion, or \ ch f -> f . ch f

addChurch :: Church a -> Church a -> Church a
addChurch = (<*>). fmap (.) -- or \ ach bch f -> ach f . bch f

multChurch :: Church a -> Church a -> Church a
multChurch = (.) -- or \ ach bch -> ach . bch

expChurch :: Church a -> Church a -> Church a
expChurch basech expch = unsafeCoerce expch basech

isChurchZero :: Church a -> Church a
isChurchZero ch = unsafeCoerce ch (const churchZero) churchOne

predChurch :: Church a -> Church a
predChurch ch f x = unsafeCoerce ch (\ g h -> h (g f)) (const x) id

minusChurch :: Church a -> Church a -> Church a
minusChurch ach bch = unsafeCoerce bch predChurch ach

-- counts the times divisor can be subtracted from dividend to zero...
divChurch :: Church a -> Church a -> Church a
divChurch dvdnd dvsr =
let divr n d =
(\ v -> v (const $succChurch$ divr v d) -- if branch
churchZero -- else branch
) (minusChurch n d)
in divr (unsafeCoerce succChurch dvdnd) $unsafeCoerce dvsr churchFromInt :: Int -> Church a churchFromInt 0 = churchZero churchFromInt n = succChurch$ churchFromInt (n - 1)

-- Or as a fold:
-- churchFromInt n = foldr (.) id . replicate n

-- Or as an iterated application:
-- churchFromInt n = iterate succChurch churchZero !! n

intFromChurch :: Church Int -> Int
intFromChurch ch = ch succ 0

------------------------------------- TEST -------------------------------------
main :: IO ()
main = do
let [cThree, cFour, cEleven, cTwelve] = churchFromInt <$> [3, 4, 11, 12] print$ fmap intFromChurch [ addChurch cThree cFour
, multChurch cThree cFour
, expChurch cFour cThree
, expChurch cThree cFour
, isChurchZero churchZero
, predChurch cFour
, minusChurch cEleven cThree
, divChurch cEleven cThree
, divChurch cTwelve cThree
]
Output:
[7, 12, 81, 64, 1, 0, 3, 8, 3, 4]

Note that Haskell has directly recursive functions so the y-Combinator is not used to implement recursion in the Church division function.

This version should be suitable to translation to most statically typed languages supporting first class closure functions using casting and/or type "punning" to eliminate the infinite types problems such as is done in the second Nim contribution.

Use of RankNTypes to Avoid Coercion

The following code uses a wrapper newtype and the "RankNTypes" GHC Haskell extension to avoid the requirement for the unsafe coercion used above:

{-# LANGUAGE RankNTypes #-}

newtype Church = Church { unChurch :: forall a. (a -> a) -> a -> a }

churchZero :: Church
churchZero = Church $const id succChurch :: Church -> Church succChurch ch = Church$ (<*>) (.) $unChurch ch -- add one recursion addChurch :: Church -> Church -> Church addChurch ach bch = Church$ ((<*>) . fmap (.)) (unChurch ach) (unChurch bch)

multChurch :: Church -> Church -> Church
multChurch ach bch = Church $unChurch ach . unChurch bch expChurch :: Church -> Church -> Church expChurch basech expch = Church$ unChurch expch $unChurch basech predChurch :: Church -> Church predChurch ch = Church$ \ f x ->
unChurch ch (\ g h -> h (g f)) (const x) id

minusChurch :: Church -> Church -> Church
minusChurch ach bch = unChurch bch predChurch ach

isChurchZero :: Church -> Church
isChurchZero ch = unChurch ch (const churchZero) $Church id divChurch :: Church -> Church -> Church divChurch dvdnd dvsr = let divr n = (\ v -> unChurch v (const$ succChurch $divr v) churchZero )(minusChurch n dvsr) in divr (succChurch dvdnd) churchFromInt :: Int -> Church churchFromInt 0 = churchZero churchFromInt n = succChurch$ churchFromInt (n - 1)

-- Or as a fold:
-- churchFromInt n = foldr (.) id . replicate n

-- Or as an iterated application:
-- churchFromInt n = iterate succChurch churchZero !! n

intFromChurch :: Church -> Int
intFromChurch ch = unChurch ch succ 0

------------------------------------- TEST -------------------------------------
main :: IO ()
main = do
let [cThree, cFour, cEleven, cTwelve] = churchFromInt <$> [3, 4, 11, 12] print$ fmap intFromChurch [ addChurch cThree cFour
, multChurch cThree cFour
, expChurch cFour cThree
, expChurch cThree cFour
, isChurchZero churchZero
, predChurch cFour
, minusChurch cEleven cThree
, divChurch cEleven cThree
, divChurch cTwelve cThree
]
Output:
[7, 12, 81, 64, 1, 0, 3, 8, 3, 4]

Note that Haskell has directly recursive functions so the y-Combinator is not used to implement recursion in the Church division function.

J

Implementation:

chget=: {{(0;1;1;1) {:: y}}

chset=: {{
'A B'=.;y
'C D'=.B
'E F'=.D
<A;<C;<E;<<.x
}}

ch0=: {{
if.0=#y do.y=.;:'>:' end. NB. replace empty gerund with increment
0 chset y:6^:2''
}}

apply=: :6

chNext=: {{(1+chget y) chset y}}

chAdd=: {{(x +&chget y) chset y}}
chSub=: {{(x -&chget y) chset y}}
chMul=: {{(x *&chget y) chset y}}
chExp=: {{(x ^&chget y) chset y}}
int2ch=: {{y chset ch0 ''}}
ch2int=: chget

Here, we are using J's power conjunction in a gerund representation of a function.

three=: chNext^:3 ch0''
four=: chNext^:4 ch0''
sixtyfour=: four chExp three
eightyone=: three chExp four
four apply 1
16
chget three
3
chget four
4
chget sixtyfour
64
chget eightyone
81

Illustration of the difference between a church numeral and the represented functions:

three apply 0
3
three apply 10
13
four=: 4 chset ch0 {{2*y}}''
chget four
4
four apply 0
0
four apply 10
160

It's perhaps worth noting that J supports repeated negative applications of invertible functions:

four=: 4 chset ch0 +:''
four apply 10
160
(three chSub four) apply 10
5
(sixtyfour chSub three chExp four) apply 10x^20
762939453125000
(sixtyfour chSub three chExp 4 chset ch0 5x&*'') apply 10x^20
131072000

Java

Works with: Java version 8 and above
package lvijay;

import java.util.concurrent.atomic.AtomicInteger;
import java.util.function.Function;

public class Church {
public static interface ChurchNum extends Function<ChurchNum, ChurchNum> {
}

public static ChurchNum zero() {
return f -> x -> x;
}

public static ChurchNum next(ChurchNum n) {
return f -> x -> f.apply(n.apply(f).apply(x));
}

public static ChurchNum plus(ChurchNum a) {
return b -> f -> x -> b.apply(f).apply(a.apply(f).apply(x));
}

public static ChurchNum pow(ChurchNum m) {
return n -> m.apply(n);
}

public static ChurchNum mult(ChurchNum a) {
return b -> f -> x -> b.apply(a.apply(f)).apply(x);
}

public static ChurchNum toChurchNum(int n) {
if (n <= 0) {
return zero();
}
return next(toChurchNum(n - 1));
}

public static int toInt(ChurchNum c) {
AtomicInteger counter = new AtomicInteger(0);
ChurchNum funCounter = f -> {
counter.incrementAndGet();
return f;
};

plus(zero()).apply(c).apply(funCounter).apply(x -> x);

return counter.get();
}

public static void main(String[] args) {
ChurchNum zero = zero();
ChurchNum three = next(next(next(zero)));
ChurchNum four = next(next(next(next(zero))));

System.out.println("3+4=" + toInt(plus(three).apply(four))); // prints 7
System.out.println("4+3=" + toInt(plus(four).apply(three))); // prints 7

System.out.println("3*4=" + toInt(mult(three).apply(four))); // prints 12
System.out.println("4*3=" + toInt(mult(four).apply(three))); // prints 12

// exponentiation. note the reversed order!
System.out.println("3^4=" + toInt(pow(four).apply(three))); // prints 81
System.out.println("4^3=" + toInt(pow(three).apply(four))); // prints 64

System.out.println(" 8=" + toInt(toChurchNum(8))); // prints 8
}
}
Output:
3+4=7
4+3=7
3*4=12
4*3=12
3^4=81
4^3=64
8=8

JavaScript

(() => {
'use strict';

// ----------------- CHURCH NUMERALS -----------------

const churchZero = f =>
identity;

const churchSucc = n =>
f => compose(f)(n(f));

n => f => compose(n(f))(m(f));

const churchMult = m =>
n => f => n(m(f));

const churchExp = m =>
n => n(m);

const intFromChurch = n =>
n(succ)(0);

const churchFromInt = n =>
compose(
foldl(compose)(identity)
)(
replicate(n)
);

// Or, by explicit recursion:
const churchFromInt_ = x => {
const go = i =>
0 === i ? (
churchZero
) : churchSucc(go(pred(i)));
return go(x);
};

// ---------------------- TEST -----------------------
// main :: IO ()
const main = () => {
const [cThree, cFour] = map(churchFromInt)([3, 4]);

return map(intFromChurch)([
churchMult(cThree)(cFour),
churchExp(cFour)(cThree),
churchExp(cThree)(cFour),
]);
};

// --------------------- GENERIC ---------------------

// compose (>>>) :: (a -> b) -> (b -> c) -> a -> c
const compose = f =>
g => x => f(g(x));

// foldl :: (a -> b -> a) -> a -> [b] -> a
const foldl = f =>
a => xs => [...xs].reduce(
(x, y) => f(x)(y),
a
);

// identity :: a -> a
const identity = x => x;

// map :: (a -> b) -> [a] -> [b]
const map = f =>
// The list obtained by applying f
// to each element of xs.
// (The image of xs under f).
xs => [...xs].map(f);

// pred :: Enum a => a -> a
const pred = x =>
x - 1;

// replicate :: Int -> a -> [a]
const replicate = n =>
// n instances of x.
x => Array.from({
length: n
}, () => x);

// succ :: Enum a => a -> a
const succ = x =>
1 + x;

// MAIN ---
console.log(JSON.stringify(main()));
})();
Output:
[7,12,64,81]

jq

In jq, the Church encoding of the natural number $m as per the definition of this task would be church(f;$x; $m) defined as: def church(f;$x; $m): if$m == 0 then .
elif $m == 1 then$x|f
else church(f; $x;$m - 1)
end;

This is because jq's identify function is ..

However, since jq functions are filters, the natural definition would be:

def church(f; $m): if$m < 0 then error("church is not defined on negative integers")
elif $m == 0 then . elif$m == 1 then f
else church(f; $m - 1) | f end; So for example "church 0" can be realized as church(f; 0). Since, jq does not support functions that return functions, the tasks that assume such functionality cannot be directly implemented in jq. Julia We could overload the Base operators, but that is not needed here. id(x) = x -> x zero() = x -> id(x) add(m) = n -> (f -> (x -> n(f)(m(f)(x)))) mult(m) = n -> (f -> (x -> n(m(f))(x))) exp(m) = n -> n(m) succ(i::Int) = i + 1 succ(cn) = f -> (x -> f(cn(f)(x))) church2int(cn) = cn(succ)(0) int2church(n) = n < 0 ? throw("negative Church numeral") : (n == 0 ? zero() : succ(int2church(n - 1))) function runtests() church3 = int2church(3) church4 = int2church(4) println("Church 3 + Church 4 = ", church2int(add(church3)(church4))) println("Church 3 * Church 4 = ", church2int(mult(church3)(church4))) println("Church 4 ^ Church 3 = ", church2int(exp(church4)(church3))) println("Church 3 ^ Church 4 = ", church2int(exp(church3)(church4))) end runtests() Output: Church 3 + Church 4 = 7 Church 3 * Church 4 = 12 Church 4 ^ Church 3 = 64 Church 3 ^ Church 4 = 81 Extended Church Functions in Julia id = x -> x always(f) = d -> f struct Church # used for "infinite" Church type resolution unchurch::Function end (cn::Church)(ocn::Church) = cn.unchurch(ocn) compose(cnl::Church) = cnr::Church -> Church(f -> cnl(cnr(f))) (cn::Church)(fn::Function) = cn.unchurch(fn) (cn::Church)(i::Int) = cn.unchurch(i) zero = Church(always(Church(id))) one = Church(id) succ(cn::Church) = Church(f -> (x -> f(cn(f)(x)))) add(m::Church) = n::Church -> Church(f -> n(f) ∘ m(f)) mult(m::Church) = n::Church -> Church(f -> m(n(f))) exp(m::Church) = n::Church -> Church(n(m)) iszero(n::Church) = n.unchurch(Church(always(zero)))(one) pred(n::Church) = Church(f -> Church(x -> n( g -> (h -> h(g(f))))(Church(always(x)))(Church(id)))) subt(n::Church) = m::Church -> Church(f -> m(pred)(n)(f)) divr(n::Church) = d::Church -> Church(f -> ((v::Church -> v(Church(always(succ(divr(v)(d)))))(zero))( subt(n)(d)))(f)) div(dvdnd::Church) = dvsr::Church -> divr(succ(dvdnd))(dvsr) church2int(cn::Church) = cn(i -> i + 1)(0) int2church(n) = n <= 0 ? zero : succ(int2church(n - 1)) function runtests() church3 = int2church(3) church4 = succ(church3) church11 = int2church(11) church12 = succ(church11) println("Church 3 + Church 4 = ", church2int(add(church3)(church4))) println("Church 3 * Church 4 = ", church2int(mult(church3)(church4))) println("Church 3 ^ Church 4 = ", church2int(exp(church3)(church4))) println("Church 4 ^ Church 3 = ", church2int(exp(church4)(church3))) println("isZero(Church 0) = ", church2int(iszero(zero))) println("isZero(Church 3) = ", church2int(iszero(church3))) println("pred(Church 4) = ", church2int(pred(church4))) println("pred(Church 0) = ", church2int(pred(zero))) println("Church 11 - Church 3 = ", church2int(subt(church11)(church3))) println("Church 11 / Church 3 = ", church2int(div(church11)(church3))) println("Church 12 / Church 3 = ", church2int(div(church12)(church3))) end runtests() Output: Church 3 + Church 4 = 7 Church 3 * Church 4 = 12 Church 3 ^ Church 4 = 81 Church 4 ^ Church 3 = 64 isZero(Church 0) = 1 isZero(Church 3) = 0 pred(Church 4) = 3 pred(Church 0) = 0 Church 11 - Church 3 = 8 Church 11 / Church 3 = 3 Church 12 / Church 3 = 4 Note that this is very slow due to that, although function paradigms can be written in Julia, Julia isn't very efficient at doing FP: This is because Julia has no type signatures for functions and must use reflection at run time when the types are variable as here (as to function kind ranks) for a slow down of about ten times as compared to statically known types. This is particularly noticeable for the division function where the depth of function nesting grows exponentially. Lambdatalk {def succ {lambda {:n :f :x} {:f {:n :f :x}}}} {def add {lambda {:n :m :f :x} {{:n :f} {:m :f :x}}}} {def mul {lambda {:n :m :f} {:m {:n :f}}}} {def power {lambda {:n :m} {:m :n}}} {def church {lambda {:n} {{:n {+ {lambda {:x} {+ :x 1}}}} 0}}} {def zero {lambda {:f :x} :x}} {def three {succ {succ {succ zero}}}} {def four {succ {succ {succ {succ zero}}}}} 3+4 = {church {add {three} {four}}} -> 7 3*4 = {church {mul {three} {four}}} -> 12 3^4 = {church {power {three} {four}}} -> 81 4^3 = {church {power {four} {three}}} -> 64 Lua function churchZero() return function(x) return x end end function churchSucc(c) return function(f) return function(x) return f(c(f)(x)) end end end function churchAdd(c, d) return function(f) return function(x) return c(f)(d(f)(x)) end end end function churchMul(c, d) return function(f) return c(d(f)) end end function churchExp(c, e) return e(c) end function numToChurch(n) local ret = churchZero for i = 1, n do ret = succ(ret) end return ret end function churchToNum(c) return c(function(x) return x + 1 end)(0) end three = churchSucc(churchSucc(churchSucc(churchZero))) four = churchSucc(churchSucc(churchSucc(churchSucc(churchZero)))) print("'three'\t=", churchToNum(three)) print("'four' \t=", churchToNum(four)) print("'three' * 'four' =", churchToNum(churchMul(three, four))) print("'three' + 'four' =", churchToNum(churchAdd(three, four))) print("'three' ^ 'four' =", churchToNum(churchExp(three, four))) print("'four' ^ 'three' =", churchToNum(churchExp(four, three))) Output: 'three' = 3 'four' = 4 'three' * 'four' = 12 'three' + 'four' = 7 'three' ^ 'four' = 81 'four' ^ 'three' = 64 Nim Macros and Pointers Using type erasure, pure functions, and impenetrably terse syntax to keep to the spirit of the untyped lambda calculus: import macros, sugar type Fn = proc(p: pointer): pointer{.noSideEffect.} Church = proc(f: Fn): Fn{.noSideEffect.} MetaChurch = proc(c: Church): Church{.noSideEffect.} #helpers: template λfλx(exp): untyped = (f: Fn){.closure.}=>((x: pointer){.closure.}=>exp) template λcλf(exp): untyped = (c: Church){.closure.}=>((f: Fn){.closure.}=>exp) macro type_erase(body: untyped): untyped = let name = if body.kind == nnkPostFix: body else: body typ = body quote do: body proc name(p: pointer): pointer = template erased: untyped = cast[ptr typ](p)[] erased = erased.name p macro type_erased(body: untyped): untyped = let (id1, id2, id3) = (body, body, body) quote do: result = id3 result = cast[ptr typeof(id3)]( id1(id2)(result.addr) )[] #simple math func zero*(): Church = λfλx: x func succ*(c: Church): Church = λfλx: f (c f)x func +*(c, d: Church): Church = λfλx: (c f) (d f)x func **(c, d: Church): Church = λfλx: c(d f)x #exponentiation func metazero(): MetaChurch = λcλf: f func succ(m: MetaChurch): MetaChurch{.type_erase.} = λcλf: c (m c)f converter toMeta*(c: Church): MetaChurch = type_erased: c(succ)(metazero()) func ^*(c: Church, d: MetaChurch): Church = d c #conversions to/from actual numbers func incr(x: int): int{.type_erase.} = x+1 func toInt(c: Church): int = type_erased: c(incr)(0) func toChurch*(x: int): Church = return if x <= 0: zero() else: toChurch(x-1).succ func $*(c: Church): string = $c.toInt when isMainModule: let three = zero().succ.succ.succ let four = 4.toChurch echo [three+four, three*four, three^four, four^three] All closures and a union for type-punning Everything is an anonymous function, we dereference with a closure instead of a pointer,and the type-casting is hidden behind a union instead of behind a macro; the following code implements more extended Church functions such as Church subtraction and division than the task requires: import sugar type # use a thunk closure as a data type... In = () -> int # a lazy thunk producing an int Func = In -> In Church = Func -> Func MetaChurch = Church -> Church MetaMetaChurch = MetaChurch -> MetaChurch PredChurch = (Func -> In) -> (Func -> In) MetaPredChurch = PredChurch -> PredChurch type # type Kind to/from conversions... Pun {.union.} = object # does safer casting... normal: Church upone: MetaChurch uptwo: MetaMetaChurch preded: MetaPredChurch func lift1(ch: Church): MetaChurch = Pun(normal: ch).upone func lift2(ch: Church): MetaMetaChurch = Pun(normal: ch).uptwo func liftpred(ch: Church): MetaPredChurch = Pun(normal: ch).preded let zeroChurch: Church = (_: Func) -> Func => ((x: In) => x) oneChurch: Church = (f: Func) -> Func => f succChurch = (ch: Church) -> Church => ((f: Func) => ((x: In) => f(ch(f)x))) addChurch = (ach, bch: Church) -> Church => ((f: Func) => ((x: In) => ((ach f)(bch(f)x)))) multChurch = (ach, bch: Church) -> Church => ((f: Func) => ach(bch(f))) expChurch = (basech, expch: Church) -> Church => (expch.lift1() basech) isZeroChurch = (ch: Church) -> Church => (ch.lift2()((_: Church) => zeroChurch) oneChurch) predChurch = (ch: Church) -> Church => (func(f: Func): Func = let prd = (gf: Func -> In) => ((hf: In -> In) => (hf(gf(f)))) # magic is here, reduces by one function level... ((x: In) => (ch.liftpred())(prd)((_: Func) => x)((t:In) => t))) minusChurch = (ach, bch: Church) -> Church => (bch.lift2()(predChurch)(ach)) # recursively counts times divisor can be subtracted from dividend... divChurch = proc(dvdndch, dvsrch: Church): Church = proc divr(n: Church): Church = (((vch: Church) => vch.lift2()( # test for zero (_: Church) => (divr(vch).succChurch))( # not zero, loop zeroChurch)) # if zero, return zero )(n.minusChurch(dvsrch)) # subtract one more divisor per loop divr(dvdndch.succChurch) # conversions to/from Church and int... proc toChurch(x: int): Church = result = zeroChurch for _ in 1 .. x: result = result.succChurch let incr = (x: In) => (() => x() + 1) proc toInt(ch: Church): int = ch(incr)(() => 0)() proc $(ch: Church): string = $(ch.toInt) when isMainModule: let threeChurch = 3.toChurch let fourChurch = threeChurch.succChurch let elevenChurch = 11.toChurch let twelveChurch = elevenChurch.succChurch echo [ threeChurch.addChurch(fourChurch) , threeChurch.multChurch(fourChurch) , threeChurch.expChurch(fourChurch) , fourChurch.expChurch(threeChurch) , zeroChurch.isZeroChurch, oneChurch.isZeroChurch , fourChurch.predChurch , elevenChurch.minusChurch(threeChurch) , elevenChurch.divChurch(threeChurch) , twelveChurch.divChurch(threeChurch) ] Output: [7, 12, 81, 64, 1, 0, 8, 3, 4] Note that the division function uses internal proc recursion instead of resorting to use of the Y-combinator since Nim supports direct proc recursion. Almost Functional Version Although Nim is by no means a functional language, we can implement this without using type erasure or raw type casting/"punning" by using object variants to represent what the Haskell/OCaml languages do with "forall RankNTypes" so that one wrapper represents functions nested to any Kind rank and also the actual value (int in this case). Generic types don't work so well here as the generic type must be known when instantiated in Nim, so we can't generate an object of a generic type from an int. However, what does work means that casting/"punning" isn't necessary while still being able to evaluate the Church Numeral representations to values without using side effects, as per the following code: Translation of: F# import sugar type Tag = enum tgChurch, tgArityZero Church = ref object case tag: Tag of tgChurch: church: Church -> Church of tgArityZero: value: int func makeCChurch(chf: Church -> Church): Church = Church(tag: tgChurch, church: chf) proc applyChurch(ch, charg: Church): Church = case ch.tag of tgChurch: ch.church(charg) of tgArityZero: charg # never happens! func composeChurch(chl, chr: Church): Church = case chl.tag of tgChurch: case chr.tag of tgChurch: makeCChurch((f: Church) => chl.church(chr.church(f))) of tgArityZero: chl # never happens! of tgArityZero: chl # never happens! let churchZero = makeCChurch((f: Church) => makeCChurch((x) => x)) let churchOne = makeCChurch((x) => x) proc succChurch(ch: Church): Church = makeCChurch((f) => composeChurch(f, applyChurch(ch, f))) proc addChurch(cha, chb: Church): Church = makeCChurch((f) => composeChurch(applyChurch(cha, f), applyChurch(chb, f))) proc multChurch(cha, chb: Church): Church = composeChurch(cha, chb) proc expChurch(chbs, chexp: Church): Church = applyChurch(chexp, chbs) proc isZeroChurch(ch: Church): Church = applyChurch(applyChurch(ch, Church(tag: tgChurch, church: (_: Church) => churchZero)), churchOne) proc predChurch(ch: Church): Church = proc ff(f: Church): Church = proc xf(x: Church): Church = let prd = makeCChurch((g) => makeCChurch((h) => applyChurch(h, applyChurch(g, f)))) let frstch = makeCChurch((_) => x) let idch = makeCChurch((a) => a) applyChurch(applyChurch(applyChurch(ch, prd), frstch), idch) makeCChurch(xf) makeCChurch(ff) proc subChurch(cha, chb: Church): Church = applyChurch(applyChurch(chb, makeCChurch(predChurch)), cha) proc divChurch(chdvdnd, chdvsr: Church): Church = proc divr(chn: Church): Church = proc tst(chv: Church): Church = let loopr = makeCChurch((_) => succChurch(divr(chv))) applyChurch(applyChurch(chv, loopr), churchZero) tst(subChurch(chn, chdvsr)) divr(succChurch(chdvdnd)) # converters... converter intToChurch(i: int): Church = func loop(n: int, rch: Church): Church = # recursive function call if n <= 0: rch else: loop(n - 1, succChurch(rch)) loop(i, churchZero) # result = churchZero # imperative non recursive way... # for _ in 1 .. i: result = succChurch(result) converter churchToInt(ch: Church): int = func succInt(chv: Church): Church = case chv.tag of tgArityZero: Church(tag: tgArityZero, value: chv.value + 1) of tgChurch: chv let rslt = applyChurch(applyChurch(ch, Church(tag: tgChurch, church: succInt)), Church(tag: tgArityZero, value: 0)) case rslt.tag of tgArityZero: rslt.value of tgChurch: -1 proc $(ch: Church): string = $ch.int # test it... when isMainModule: let c3: Church = 3 let c4 = succChurch c3 let c11: Church = 11 let c12 = succChurch c11 echo addChurch(c3, c4), " ", multChurch(c3, c4), " ", expChurch(c3, c4), " ", expChurch(c4, c3), " ", isZeroChurch(churchZero), " ", isZeroChurch(c3), " ", predChurch(c4), " ", subChurch(c11, c3), " ", divChurch(c11, c3), " ", divChurch(c12, c3) Output: 7 12 81 64 1 0 3 8 3 4 The "churchToInt" function works by applying an integer successor function which takes an "arity zero" value and returns an "arity zero" containing that value plus one, then applying an "arity zero" wrapped integer value of zero to the resulting Church value; the result of that is unwrapped to result in the desired integer returned value. The idea of using "arity zero" values as function values is borrowed from Haskell, which wraps all values as data types including integers, etc. (all other than primitive values are thus "lifted"), which allows them to be used as functions. Since Haskell has Type Classes which Nim does not (at least yet), this is not so obvious in Haskell code which is able to treat values such as "lifted" integers as functions automatically, and thus apply the same Type Class functions to them as to regular (also "lifted") functions. Here in the F# code, the necessary functions that would normally be part of the Functor and Applicative Type Classes as applied to Functions in Haskell are supplied here to work with the object variant wrapping of this Function idea. OCaml Original version by User:Vanyamil (* Church Numerals task for OCaml Church Numerals are numbers represented as functions. A numeral corresponding to a number n is a function that receives 2 arguments - A function f - An input x of some type and outputs the function f applied n times to x: f(f(...(f(x)))) *) (* Using type as suggested in https://stackoverflow.com/questions/43426709/does-ocamls-type-system-prevent-it-from-modeling-church-numerals This is an explicitely polymorphic type : it says that f must be of type ('a -> 'a) -> 'a -> 'a for any possible a "at same time". *) type church_num = {f : 'a. ('a -> 'a) -> 'a -> 'a } ;; (* Zero means apply f 0 times to x, aka return x *) let ch_zero : church_num = let f = fun f x -> x in {f} (* The next numeral of a church numeral would apply f one more time *) let ch_succ (n : church_num) : church_num = let f = fun f x -> f (n.f f x) in {f} (* This is just a different way to represent natural numbers - so we can still add/mul/exp them *) (* Adding m and n is applying f m times and then also n times *) let ch_add (m : church_num) (n : church_num) : church_num = let f = fun f x -> n.f f (m.f f x) in {f} (* Multiplying is repeated addition : add n, m times *) let ch_mul (m : church_num) (n : church_num) : church_num = let f = fun f x -> m.f (n.f f) x in {f} (* Exp is repeated multiplication : multiply by base, exp times. However, Church numeral n is in some sense the n'th power of a function f applied to x So exp base = apply function base to the exp'th power = base^exp. Some shenanigans to typecheck though. *) let ch_exp (base : church_num) (exp : church_num) : church_num = let custom_f f x = (exp.f base.f) f x in {f = custom_f} (* Convert a number to a church_num via recursion *) let church_of_int (n : int) : church_num = if n < 0 then raise (Invalid_argument (string_of_int n ^ " is not a natural number")) else (* Tail-recursed helper *) let rec helper n acc = if n = 0 then acc else helper (n-1) (ch_succ acc) in helper n ch_zero (* Convert a church_num to an int is rather easy! Just +1 n times. *) let int_of_church (n : church_num) : int = n.f succ 0 ;; (* Now the tasks at hand: *) (* Derive Church numerals three and four in terms of Church zero and a Church successor function *) let ch_three = ch_zero |> ch_succ |> ch_succ |> ch_succ let ch_four = ch_three |> ch_succ (* Use Church numeral arithmetic to obtain the the sum and the product of Church 3 and Church 4 *) let ch_7 = ch_add ch_three ch_four let ch_12 = ch_mul ch_three ch_four (* Similarly obtain 4^3 and 3^4 in terms of Church numerals, using a Church numeral exponentiation function *) let ch_64 = ch_exp ch_four ch_three let ch_81 = ch_exp ch_three ch_four ;; (* Convert each result back to an integer, and return it or print it to the console *) List.map int_of_church [ch_three; ch_four; ch_7; ch_12; ch_64; ch_81] ;; Octave zero = @(f) @(x) x; succ = @(n) @(f) @(x) f(n(f)(x)); add = @(m, n) @(f) @(x) m(f)(n(f)(x)); mul = @(m, n) @(f) @(x) m(n(f))(x); pow = @(b, e) e(b); % Need a short-circuiting ternary iif = @(varargin) varargin{3 - varargin{1}}(); % Helper for anonymous recursion % The branches are thunked to prevent infinite recursion to_church_ = @(f, i) iif(i == 0, @() zero, @() succ(f(f, i - 1))); to_church = @(i) to_church_(to_church_, i); to_int = @(c) c(@(n) n + 1)(0); three = succ(succ(succ(zero))); four = succ(succ(succ(succ(zero)))); cellfun(to_int, { add(three, four), mul(three, four), pow(three, four), pow(four, three)}) Output: ans = 7 12 81 64 Perl Translation of: Raku use 5.020; use feature qw<signatures>; no warnings qw<experimental::signatures>; use constant zero => sub ($f) {
sub ($x) {$x }};

use constant succ => sub ($n) { sub ($f) {
sub ($x) {$f->($n->($f)($x)) }}}; use constant add => sub ($n) {
sub ($m) { sub ($f) {
sub ($x) {$m->($f)($n->($f)($x)) }}}};

use constant mult => sub ($n) { sub ($m) {
sub ($f) { sub ($x) { $m->($n->($f))($x) }}}};

use constant power => sub ($b) { sub ($e) { $e->($b) }};

use constant countup => sub ($i) {$i + 1 };
use constant countdown => sub ($i) {$i == 0 ? zero : succ->( __SUB__->($i - 1) ) }; use constant to_int => sub ($f) { $f->(countup)->(0) }; use constant from_int => sub ($x) { countdown->($x) }; use constant three => succ->(succ->(succ->(zero))); use constant four => from_int->(4); say join ' ', map { to_int->($_) } (
add ->( three )->( four ),
mult ->( three )->( four ),
power->( four )->( three ),
power->( three )->( four ),
);
Output:
7 12 64 81

Phix

Translation of: Go
with javascript_semantics

type church(object c)
return sequence(c) and length(c)=3
and integer(c) and integer(c)
and sequence(c) and length(c)=2
end type

function succ(church c)
c = deep_copy(c)
c += 1
return c
end function

-- three normal integer-handling routines...
for i=1 to n do
a += b
end for
return a
end function

function mul(integer n, a, b)
for i=1 to n do
a *= b
end for
return a
end function
constant r_mul = routine_id("mul")

function pow(integer n, a, b)
for i=1 to n do
a = power(a,b)
end for
return a
end function
constant r_pow = routine_id("pow")

-- ...and three church constructors to match
--    (no maths here, just pure static data)
return res
end function

function mulch(church c, d)
church res = {r_mul,1,{c,d}}
return res
end function

function powch(church c, d)
church res = {r_pow,1,{c,d}}
return res
end function

function tointch(church c)
-- note this is where the bulk of any processing happens
{integer rid, integer n, object x} = c
x = deep_copy(x)
for i=1 to length(x) do
if church(x[i]) then x[i] = tointch(x[i]) end if
end for
--  return call_func(rid,n&x)
x = deep_copy({n})&deep_copy(x)
return call_func(rid,x)
end function

function inttoch(integer i)
if i=0 then
return zero
else
return succ(inttoch(i-1))
end if
end function

church three = succ(succ(succ(zero))),
four = succ(three)
printf(1,"three        -> %d\n",tointch(three))
printf(1,"four         -> %d\n",tointch(four))
printf(1,"three * four -> %d\n",tointch(mulch(three,four)))
printf(1,"three ^ four -> %d\n",tointch(powch(three,four)))
printf(1,"four ^ three -> %d\n",tointch(powch(four,three)))
printf(1,"5 -> five    -> %d\n",tointch(inttoch(5)))
Output:
three        -> 3
four         -> 4
three + four -> 7
three * four -> 12
three ^ four -> 81
four ^ three -> 64
5 -> five    -> 5

PHP

<?php
$zero = function($f) { return function ($x) { return$x; }; };

$succ = function($n) {
return function($f) use (&$n) {
return function($x) use (&$n, &$f) { return$f( ($n($f))($x) ); }; }; };$add = function($n,$m) {
return function($f) use (&$n, &$m) { return function($x) use (&$f, &$n, &$m) { return ($m($f))(($n($f))($x));
};
};
};

$mult = function($n, $m) { return function($f) use (&$n, &$m) {
return function($x) use (&$f, &$n, &$m) {
return ($m($n($f)))($x);
};
};
};

$power = function($b,$e) { return$e($b); };$to_int = function($f) {$count_up = function($i) { return$i+1; };
return ($f($count_up))(0);
};

$from_int = function($x) {
$countdown = function($i) use (&$countdown) { global$zero, $succ; if ($i == 0 ) {
return $zero; } else { return$succ($countdown($i-1));
};
};
return $countdown($x);
};

$three =$succ($succ($succ($zero)));$four = $from_int(4); foreach (array($add($three,$four), $mult($three,$four),$power($three,$four), $power($four,$three)) as$ch) {
print($to_int($ch));
print("\n");
}
?>
Output:
7
12
81
64

Prolog

Prolog terms can be used to represent church numerals.

church_zero(z).

church_successor(Z, c(Z)).

church_multiply(z, _, z).
church_multiply(c(X), Y, R) :-
church_multiply(X, Y, S).

% N ^ M
church_power(z, z, z).
church_power(N, c(z), N).
church_power(N, c(c(Z)), R) :-
church_multiply(N, R1, R),
church_power(N, c(Z), R1).

int_church(0, z).
int_church(I, c(Z)) :-
int_church(Is, Z),
succ(Is, I).

run :-
int_church(3, Three),
church_successor(Three, Four),
church_multiply(Three, Four, Product),
church_power(Four, Three, Power43),
church_power(Three, Four, Power34),

int_church(ISum, Sum),
int_church(IProduct, Product),
int_church(IPower43, Power43),
int_church(IPower34, Power34),

!,
maplist(format('~w '), [ISum, IProduct, IPower43, IPower34]),
nl.
Output:
7 12 81 64

Python

Works with: Python version 3.7
'''Church numerals'''

from itertools import repeat
from functools import reduce

# ----- CHURCH ENCODINGS OF NUMERALS AND OPERATIONS ------

def churchZero():
'''The identity function.
No applications of any supplied f
to its argument.
'''

return lambda f: identity

def churchSucc(cn):
'''The successor of a given
application of f. Equivalent to
'''

return lambda f: compose(f)(cn(f))

'''The arithmetic sum of two Church numerals.'''
return lambda n: lambda f: compose(m(f))(n(f))

def churchMult(m):
'''The arithmetic product of two Church numerals.'''
return lambda n: compose(m)(n)

def churchExp(m):
'''Exponentiation of Church numerals. m^n'''
return lambda n: n(m)

def churchFromInt(n):
'''The Church numeral equivalent of
a given integer.
'''

return lambda f: (
foldl
(compose)
(identity)
(replicate(n)(f))
)

# OR, alternatively:
def churchFromInt_(n):
'''The Church numeral equivalent of a given
integer, by explicit recursion.
'''

if 0 == n:
return churchZero()
else:
return churchSucc(churchFromInt(n - 1))

def intFromChurch(cn):
'''The integer equivalent of a
given Church numeral.
'''

return cn(succ)(0)

# ------------------------- TEST -------------------------
# main :: IO ()
def main():
'Tests'

cThree = churchFromInt(3)
cFour = churchFromInt(4)

print(list(map(intFromChurch, [
churchMult(cThree)(cFour),
churchExp(cFour)(cThree),
churchExp(cThree)(cFour),
])))

# ------------------ GENERIC FUNCTIONS -------------------

# compose (flip (.)) :: (a -> b) -> (b -> c) -> a -> c
def compose(f):
'''A left to right composition of two
functions f and g'''

return lambda g: lambda x: g(f(x))

# foldl :: (a -> b -> a) -> a -> [b] -> a
def foldl(f):
'''Left to right reduction of a list,
using the binary operator f, and
starting with an initial value a.
'''

def go(acc, xs):
return reduce(lambda a, x: f(a)(x), xs, acc)
return lambda acc: lambda xs: go(acc, xs)

# identity :: a -> a
def identity(x):
'''The identity function.'''
return x

# replicate :: Int -> a -> [a]
def replicate(n):
'''A list of length n in which every
element has the value x.
'''

return lambda x: repeat(x, n)

# succ :: Enum a => a -> a
def succ(x):
'''The successor of a value.
For numeric types, (1 +).
'''

return 1 + x if isinstance(x, int) else (
chr(1 + ord(x))
)

if __name__ == '__main__':
main()
Output:
[7, 12, 64, 81]

Quackery

Quackery is a postfix language, so these are Reverse Polish Church numerals.

[ this nested ]           is zero  (       --> cn )

[ this nested join ] is succ ( cn --> cn )

[ zero
[ 2dup = if done
succ
rot succ unrot
recurse ]
2drop ] is add ( cn cn --> cn )

[ zero unrot zero
[ 2dup = if done
succ
2swap
2swap recurse ]
2drop drop ] is mul ( cn cn --> cn )

[ zero succ unrot zero
[ 2dup = if done
succ
2swap
tuck mul swap
2swap recurse ]
2drop drop ] is exp ( cn cn --> cn )

[ zero swap times succ ] is n->cn ( n --> cn )

[ size 1 - ] is cn->n ( cn --> n )

( - - - - - - - - - - - - - - - - - - - - - - - - )

[ zero succ succ succ ] is three ( --> cn )

[ three succ ] is four ( --> cn )

four three add cn->n echo sp
four three mul cn->n echo sp
four three exp cn->n echo sp
three four exp cn->n echo

Output:

7 12 64 81

R

Translation of: Racket

R was inspired by Scheme and this task offers little room for creativity. As a consequence, our solution will inevitably look a lot like Racket's. Therefore, we have made this easy and just translated their solution. Alternative implementations, denoted by asterisks in their code, are separated out and denoted by "[...]Alt".

zero <- function(f) {function(x) x}
succ <- function(n) {function(f) {function(x) f(n(f)(x))}}
add <- function(n) {function(m) {function(f) {function(x) m(f)(n(f)(x))}}}
mult <- function(n) {function(m) {function(f) m(n(f))}}
expt <- function(n) {function(m) m(n)}
natToChurch <- function(n) {if(n == 0) zero else succ(natToChurch(n - 1))}
churchToNat <- function(n) {(n(function(x) x + 1))(0)}

three <- natToChurch(3)
four <- natToChurch(4)

churchToNat(mult(three)(four))
churchToNat(expt(three)(four))
churchToNat(expt(four)(three))
Output:
 7

> churchToNat(mult(three)(four))
 12

> churchToNat(expt(three)(four))
 81

> churchToNat(expt(four)(three))
 64

Alternative versions (Racket's, again):

zeroAlt <- function(x) identity
one <- function(f) f #Not actually requested by the task and only used to define Alt functions, so placed here.
oneAlt <- identity
succAlt <- function(n) {function(f) {function(x) n(f)(f(x))}}
exptAlt <- function(n) {function(m) m(mult(n))(one)}

Extra tests - mostly for the alt versions - not present in the Racket solution:

churchToNat(multAlt(three)(four))
churchToNat(exptAlt(three)(four))
churchToNat(exptAlt(four)(three))
churchToNat(succ(four))
churchToNat(succAlt(four))
churchToNat(succAltAlt(four))
Output:
 7

> churchToNat(multAlt(three)(four))
 12

> churchToNat(exptAlt(three)(four))
 81

> churchToNat(exptAlt(four)(three))
 64

> churchToNat(succ(four))
 5

> churchToNat(succAlt(four))
 5

> churchToNat(succAltAlt(four))
 5

Extended Church Functions in R

const <- function(f) {function(d) f}
zero <- const(identity)
one <- identity
succ <- function(n) {function(f) {function(x) f(n(f)(x))}}
add <- function(n) {function(m) {function(f) {function(x) m(f)(n(f)(x))}}}
mult <- function(n) {function(m) {function(f) m(n(f))}}
expt <- function(n) {function(m) m(n)}
iszero <- function(n) n(const(zero))(one)
pred <- function(n) {function(f) {function(x)
n(function(g) {function(h) h(g(f))})(const(x))(identity)}}
subt <- function(m) {function(n) n(pred)(m)}
divr <- function(n) {function(d)
(function(v) v(const(succ(divr(v)(d))))(zero))(subt(n)(d))}
div <- function(dvdnd) {function(dvsr) divr(succ(dvdnd))(dvsr)}
natToChurch <- function(n) {if(n == 0) zero else succ(natToChurch(n - 1))}
churchToNat <- function(n) {(n(function(x) x + 1))(0)}

three <- natToChurch(3)
four <- succ(three)
eleven <- natToChurch(11)
twelve <- succ(eleven)

churchToNat(mult(three)(four))
churchToNat(expt(three)(four))
churchToNat(expt(four)(three))
churchToNat(iszero(zero))
churchToNat(iszero(three))
churchToNat(pred(four))
churchToNat(pred(zero))
churchToNat(subt(eleven)(three))
churchToNat(div(eleven)(three))
churchToNat(div(twelve)(three))
Output:
 7
 12
 81
 64
 1
 0
 3
 0
 8
 3
 4

Racket

#lang racket

(define zero (λ (f) (λ (x) x)))
(define zero* (const identity)) ; zero renamed

(define one (λ (f) f))
(define one* identity) ; one renamed

(define succ (λ (n) (λ (f) (λ (x) (f ((n f) x))))))
(define succ* (λ (n) (λ (f) (λ (x) ((n f) (f x)))))) ; different impl

(define add (λ (n) (λ (m) (λ (f) (λ (x) ((m f) ((n f) x)))))))
(define add* (λ (n) (n succ)))

(define mult (λ (n) (λ (m) (λ (f) (m (n f))))))
(define mult* (λ (n) (λ (m) ((m (add n)) zero))))

(define expt (λ (n) (λ (m) (m n))))
(define expt* (λ (n) (λ (m) ((m (mult n)) one))))

(define (nat->church n)
(cond
[(zero? n) zero]
[else (succ (nat->church (sub1 n)))]))

(define (church->nat n) ((n add1) 0))

(define three (nat->church 3))
(define four (nat->church 4))

(church->nat ((mult three) four))
(church->nat ((expt three) four))
(church->nat ((expt four) three))
Output:
7
12
81
64

Raku

(formerly Perl 6)

Translation of: Python
constant $zero = sub (Code$f) {
sub ( $x) {$x }}

constant $succ = sub (Code$n) {
sub (Code $f) { sub ($x) { $f($n($f)($x)) }}}

constant $add = sub (Code$n) {
sub (Code $m) { sub (Code$f) {
sub ( $x) {$m($f)($n($f)($x)) }}}}

constant $mult = sub (Code$n) {
sub (Code $m) { sub (Code$f) {
sub ( $x) {$m($n($f))($x) }}}} constant$power = sub (Code $b) { sub (Code$e) { $e($b) }}

sub to_int (Code $f) { sub countup (Int$i) { $i + 1 } return$f(&countup).(0)
}

sub from_int (Int $x) { multi sub countdown ( 0) {$zero }
multi sub countdown (Int $i) {$succ( countdown($i - 1) ) } return countdown($x);
}

constant $three =$succ($succ($succ($zero))); constant$four = from_int(4);

say map &to_int,
$add($three )( $four ),$mult( $three )($four ),
$power($four )( $three ),$power( $three )($four ),
;

Arrow subs without sigils

Translation of: Julia
my \zero  = -> \f {                 -> \x { x               }}
my \succ = -> \n { -> \f { -> \x { f.(n.(f)(x)) }}}
my \add = -> \n { -> \m { -> \f { -> \x { m.(f)(n.(f)(x)) }}}}
my \mult = -> \n { -> \m { -> \f { -> \x { m.(n.(f))(x) }}}}
my \power = -> \b { -> \e { e.(b) }}

my \to_int = -> \f { f.( -> \i { i + 1 } ).(0) }
my \from_int = -> \i { i == 0 ?? zero !! succ.( &?BLOCK(i - 1) ) }

my \three = succ.(succ.(succ.(zero)));
my \four = from_int.(4);

say map -> \f { to_int.(f) },
mult.( three )( four ),
power.( four )( three ),
power.( three )( four ),
;
Output:
(7 12 64 81)

Ruby

Translation of: Raku

The traditional methods version uses lambda to declare anonymous functions and calls them with .(); the version with procs all the way down uses proc to declare the anonymous functions and calls them with []. These are stylistic choices and each pair of options is completely interchangeable in the context of this solution.

def zero(f)
return lambda {|x| x}
end
Zero = lambda { |f| zero(f) }

def succ(n)
return lambda { |f| lambda { |x| f.(n.(f).(x)) } }
end

Three = succ(succ(succ(Zero)))

return lambda { |f| lambda { |x| m.(f).(n.(f).(x)) } }
end

def mult(n, m)
return lambda { |f| lambda { |x| m.(n.(f)).(x) } }
end

def power(b, e)
return e.(b)
end

def int_from_couch(f)
countup = lambda { |i| i+1 }
f.(countup).(0)
end

def couch_from_int(x)
countdown = lambda { |i|
case i
when 0 then Zero
else succ(countdown.(i-1))
end
}
countdown.(x)
end

Four = couch_from_int(4)

mult(Three, Four),
power(Three, Four),
power(Four, Three) ].map {|f| int_from_couch(f) }

Output:
7
12
81
64

Procs all the way down

Zero  = proc { |f| proc { |x| x } }

Succ = proc { |n| proc { |f| proc { |x| f[n[f][x]] } } }

Add = proc { |n, m| proc { |f| proc { |x| m[f][n[f][x]] } } }

Mult = proc { |n, m| proc { |f| proc { |x| m[n[f]][x] } } }

Power = proc { |b, e| e[b] }

ToInt = proc { |f| countup = proc { |i| i+1 }; f[countup] }

FromInt = proc { |x|
countdown = proc { |i|
case i
when 0 then Zero
else Succ[countdown[i-1]]
end
}
countdown[x]
}

Three = Succ[Succ[Succ[Zero]]]
Four = FromInt

Mult[Three, Four],
Power[Three, Four],
Power[Four, Three] ].map(&ToInt)
Output:
7
12
81
64

Rust

use std::rc::Rc;

#[derive(Clone)]
struct Church<'a, T: 'a> {
runner: Rc<dyn Fn(Rc<dyn Fn(T) -> T + 'a>) -> Rc<dyn Fn(T) -> T + 'a> + 'a>,
}

impl<'a, T> Church<'a, T> {
fn zero() -> Self {
Church {
runner: Rc::new(|_f| {
Rc::new(|x| x)
})
}
}

fn succ(self) -> Self {
Church {
runner: Rc::new(move |f| {
let g = self.runner.clone();
Rc::new(move |x| f(g(f.clone())(x)))
})
}
}

fn run(&self, f: impl Fn(T) -> T + 'a) -> Rc<dyn Fn(T) -> T + 'a> {
(self.runner)(Rc::new(f))
}

fn exp(self, rhs: Church<'a, Rc<dyn Fn(T) -> T + 'a>>) -> Self
{
Church {
runner: (rhs.runner)(self.runner)
}
}
}

impl<'a, T> Add for Church<'a, T> {
type Output = Church<'a, T>;

fn add(self, rhs: Church<'a, T>) -> Church<T> {
Church {
runner: Rc::new(move |f| {
let self_runner = self.runner.clone();
let rhs_runner = rhs.runner.clone();
Rc::new(move |x| (self_runner)(f.clone())((rhs_runner)(f.clone())(x)))
})
}
}
}

impl<'a, T> Mul for Church<'a, T> {
type Output = Church<'a, T>;

fn mul(self, rhs: Church<'a, T>) -> Church<T> {
Church {
runner: Rc::new(move |f| {
(self.runner)((rhs.runner)(f))
})
}
}
}

impl<'a, T> From<i32> for Church<'a, T> {
fn from(n: i32) -> Church<'a, T> {
let mut ret = Church::zero();
for _ in 0..n {
ret = ret.succ();
}
ret
}
}

impl<'a> From<&Church<'a, i32>> for i32 {
fn from(c: &Church<'a, i32>) -> i32 {
c.run(|x| x + 1)(0)
}
}

fn three<'a, T>() -> Church<'a, T> {
Church::zero().succ().succ().succ()
}

fn four<'a, T>() -> Church<'a, T> {
Church::zero().succ().succ().succ().succ()
}

fn main() {
println!("three =\t{}", i32::from(&three()));
println!("four =\t{}", i32::from(&four()));

println!("three + four =\t{}", i32::from(&(three() + four())));
println!("three * four =\t{}", i32::from(&(three() * four())));

println!("three ^ four =\t{}", i32::from(&(three().exp(four()))));
println!("four ^ three =\t{}", i32::from(&(four().exp(three()))));
}
Output:
three =	3
four =	4
three + four =	7
three * four =	12
three ^ four =	81
four ^ three =	64

Standard ML

val demo = fn () =>
let
open IntInf

val zero = fn f => fn x => x ;
fun succ n = fn f => f o (n f)  ; (* successor *)
val rec church = fn 0 => zero
| n => succ ( church (n-1) ) ; (* natural to church numeral *)
val natural = fn churchn => churchn (fn x => x+1) (fromInt 0) ; (* church numeral to natural *)

val mult = fn cn => fn cm => cn o cm  ;
val add = fn cn => fn cm => fn f => (cn f) o (cm f) ;
val exp = fn cn => fn em => em cn;

in

List.app (fn i=>print( (toString i)^"\n" )) ( List.map natural
[ add (church 3) (church 4) , mult (church 3) (church 4) , exp (church 4) (church 3) , exp (church 3) (church 4) ] )

end;

output

demo ();
7
12
64
81

Swift

func succ<A, B, C>(_ n: @escaping (@escaping (A) -> B) -> (C) -> A) -> (@escaping (A) -> B) -> (C) -> B {
return {f in
return {x in
return f(n(f)(x))
}
}
}

func zero<A, B>(_ a: A) -> (B) -> B {
return {b in
return b
}
}

func three<A>(_ f: @escaping (A) -> A) -> (A) -> A {
return {x in
return succ(succ(succ(zero)))(f)(x)
}
}

func four<A>(_ f: @escaping (A) -> A) -> (A) -> A {
return {x in
return succ(succ(succ(succ(zero))))(f)(x)
}
}

func add<A, B, C>(_ m: @escaping (B) -> (A) -> C) -> (@escaping (B) -> (C) -> A) -> (B) -> (C) -> C {
return {n in
return {f in
return {x in
return m(f)(n(f)(x))
}
}
}
}

func mult<A, B, C>(_ m: @escaping (A) -> B) -> (@escaping (C) -> A) -> (C) -> B {
return {n in
return {f in
return m(n(f))
}
}
}

func exp<A, B, C>(_ m: A) -> (@escaping (A) -> (B) -> (C) -> C) -> (B) -> (C) -> C {
return {n in
return {f in
return {x in
return n(m)(f)(x)
}
}
}
}

func church<A>(_ x: Int) -> (@escaping (A) -> A) -> (A) -> A {
guard x != 0 else { return zero }

return {f in
return {a in
return f(church(x - 1)(f)(a))
}
}
}

func unchurch<A>(_ f: (@escaping (Int) -> Int) -> (Int) -> A) -> A {
return f({i in
return i + 1
})(0)
}

let b = unchurch(mult(three)(four))
// We can even compose operations
let c = unchurch(exp(mult(four)(church(1)))(three))
let d = unchurch(exp(mult(three)(church(1)))(four))

print(a, b, c, d)
Output:
7 12 64 81

Tailspin

In Tailspin functions can be used as parameters but currently not as values, so they need to be wrapped in processor (object) instances.

Using lambda calculus compositions

processor ChurchZero
templates apply&{f:}
$! end apply end ChurchZero def zero:$ChurchZero;

processor Successor
def predecessor: $; templates apply&{f:}$ -> predecessor::apply&{f: f} -> f !
end apply
end Successor

templates churchFromInt
@: $zero;$ -> #
when <=0> do [email protected]!
when <1..> do @: [email protected] -> Successor; $-1 -> # end churchFromInt templates intFromChurch templates add1$ + 1 !
def church: $; 0 -> church::apply&{f: add1} ! end intFromChurch def three:$zero -> Successor -> Successor -> Successor;
def four: 4 -> churchFromInt;

def add: $; templates apply&{f:}$ -> add::apply&{f: f} -> to::apply&{f: f} !
end apply

$three -> Add&{to:$four} -> intFromChurch -> '$; ' -> !OUT::write processor Multiply&{by:} def multiply:$;
templates apply&{f:}
$-> multiply::apply&{f: by::apply&{f: f}} ! end apply end Multiply$three -> Multiply&{by: $four} -> intFromChurch -> '$;
' -> !OUT::write

processor Power&{exp:}
def base: $; templates apply&{f:} processor Wrap&{f:} templates function$ -> f !
end function
end Wrap
templates compose
def p:$;$Wrap&{f: base::apply&{f: p::function}} !
end compose
def pow: $Wrap&{f: f} -> exp::apply&{f: compose};$ -> pow::function !
end apply
end Power

$three -> Power&{exp:$four} -> intFromChurch -> '$; ' -> !OUT::write$four -> Power&{exp: $three} -> intFromChurch -> '$;
' -> !OUT::write

Output:
7
12
81
64

Using basic mathematical definitions

Less efficient but prettier functions can be gotten by just implementing Add as a repeated application of Successor, Multiply as a repeated application of Add and Power as a repeated application of Multiply

processor ChurchZero
templates apply&{f:}
$! end apply end ChurchZero def zero:$ChurchZero;

processor Successor
def predecessor: $; templates apply&{f:}$ -> predecessor::apply&{f: f} -> f !
end apply
end Successor

templates churchFromInt
@: $zero;$ -> #
when <=0> do [email protected]!
when <1..> do @: [email protected] -> Successor; $-1 -> # end churchFromInt templates intFromChurch templates add1$ + 1 !
def church: $; 0 -> church::apply&{f: add1} ! end intFromChurch def three:$zero -> Successor -> Successor -> Successor;
def four: 4 -> churchFromInt;

$-> to::apply&{f: Successor} ! end add$three -> add&{to: $four} -> intFromChurch -> '$;
' -> !OUT::write

templates multiply&{by:}
def m: $;$zero -> by::apply&{f: add&{to: $m}} ! end multiply$three -> multiply&{by: $four} -> intFromChurch -> '$;
' -> !OUT::write

templates power&{exp:}
def base: $;$zero -> Successor -> exp::apply&{f: multiply&{by: $base}} ! end power$three -> power&{exp: $four} -> intFromChurch -> '$;
' -> !OUT::write

$four -> power&{exp:$three} -> intFromChurch -> '\$;
' -> !OUT::write

Output:
7
12
81
64

Wren

Translation of: Lua
class Church {
static zero { Fn.new { Fn.new { |x| x } } }

static succ(c) { Fn.new { |f| Fn.new { |x| f.call(c.call(f).call(x)) } } }

static add(c, d) { Fn.new { |f| Fn.new { |x| c.call(f).call(d.call(f).call(x)) } } }

static mul(c, d) { Fn.new { |f| c.call(d.call(f)) } }

static pow(c, e) { e.call(c) }

static fromInt(n) {
var ret = zero
if (n > 0) for (i in 1..n) ret = succ(ret)
return ret
}

static toInt(c) { c.call(Fn.new { |x| x + 1 }).call(0) }
}

var three = Church.succ(Church.succ(Church.succ(Church.zero)))
var four = Church.succ(three)

System.print("three -> %(Church.toInt(three))")
System.print("four -> %(Church.toInt(four))")
System.print("three + four -> %(Church.toInt(Church.add(three, four)))")
System.print("three * four -> %(Church.toInt(Church.mul(three, four)))")
System.print("three ^ four -> %(Church.toInt(Church.pow(three, four)))")
System.print("four ^ three -> %(Church.toInt(Church.pow(four, three)))")
Output:
three         -> 3
four          -> 4
three + four  -> 7
three * four  -> 12
three ^ four  -> 81
four  ^ three -> 64

zkl

class Church{  // kinda heavy, just an int + fcn churchAdd(ca,cb) would also work
fcn init(N){ var n=N; } // Church Zero is Church(0)
fcn toInt(f,x){ do(n){ x=f(x) } x } // c(3)(f,x) --> f(f(f(x)))
fcn succ{ self(n+1) }
fcn __opMul(c){ self(n*c.n) }
fcn pow(c) { self(n.pow(c.n)) }
fcn toString{ String("Church(",n,")") }
}
c3,c4 := Church(3),c3.succ();
f,x := Op("+",1),0;
println("f=",f,", x=",x);
println("%s+%s=%d".fmt(c3,c4, (c3+c4).toInt(f,x) ));
println("%s*%s=%d".fmt(c3,c4, (c3*c4).toInt(f,x) ));
println("%s^%s=%d".fmt(c4,c3, (c4.pow(c3)).toInt(f,x) ));
println("%s^%s=%d".fmt(c3,c4, (c3.pow(c4)).toInt(f,x) ));
println();
T(c3+c4,c3*c4,c4.pow(c3),c3.pow(c4)).apply("toInt",f,x).println();
Output:
f=Op(+1), x=0
Church(3)+Church(4)=7
Church(3)*Church(4)=12
Church(4)^Church(3)=64
Church(3)^Church(4)=81

L(7,12,64,81)

OK, that was the easy sleazy cheat around way to do it. The wad of nested functions way is as follows:

fcn churchZero{ return(fcn(x){ x }) } // or fcn churchZero{ self.fcn.idFcn }
fcn churchSucc(c){ return('wrap(f){ return('wrap(x){ f(c(f)(x)) }) }) }
fcn churchAdd(c1,c2){ return('wrap(f){ return('wrap(x){ c1(f)(c2(f)(x)) }) }) }
fcn churchMul(c1,c2){ return('wrap(f){ c1(c2(f)) }) }
fcn churchPow(c1,c2){ return('wrap(f){ c2(c1)(f) }) }
fcn churchToInt(c,f,x){ c(f)(x) }
fcn churchFromInt(n){ c:=churchZero; do(n){ c=churchSucc(c) } c }
//fcn churchFromInt(n){ (0).reduce(n,churchSucc,churchZero) } // what ever
c3,c4 := churchFromInt(3),churchSucc(c3);
f,x  := Op("+",1),0; // x>=0, ie natural number