# Sleeping Beauty problem

In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.

**Sleeping Beauty problem**

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

- Background on the task

If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.

Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always estimate the probability of heads as 1/2, since she does not have any additional information. Others have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate should be 1/3 heads.

- Task

Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty is asked the question.

## 11l

```
F sleeping_beauty_experiment(repetitions)
‘
Run the Sleeping Beauty Problem experiment `repetitions` times, checking to see
how often we had heads on waking Sleeping Beauty.
’
V gotheadsonwaking = 0
V wakenings = 0
L 0 .< repetitions
V coin_result = random:choice([‘heads’, ‘tails’])
// On Monday, we check if we got heads.
wakenings++
I coin_result == ‘heads’
gotheadsonwaking++
// If tails, we do this again, but of course we will not add as if it was heads..
I coin_result == ‘tails’
wakenings++
I coin_result == ‘heads’
gotheadsonwaking++ // never done
print(‘Wakenings over ’repetitions‘ experiments: ’wakenings)
R Float(gotheadsonwaking) / wakenings
V CREDENCE = sleeping_beauty_experiment(1'000'000)
print(‘Results of experiment: Sleeping Beauty should estimate a credence of: ’CREDENCE)
```

- Output:

Wakenings over 1000000 experiments: 1500892 Results of experiment: Sleeping Beauty should estimate a credence of: 0.332540916

## Arturo

```
sleepingBeauty: function [reps][
wakings: 0
heads: 0
do.times: reps [
coin: random 0 1
wakings: wakings + 1
if? coin = 0 -> heads: heads + 1
else -> wakings: wakings + 1
]
print ["Wakings over" reps "repetitions =" wakings]
return 100.0 * heads//wakings
]
pc: sleepingBeauty 100000
print ["Percentage probability of heads on waking =" pc "%"]
```

- Output:

Wakings over 100000 repetitions = 150096 Percentage probability of heads on waking = 33.24805457840316 %

## BASIC

### BASIC256

```
iteraciones = 1000000
cara = 0
dormir = 0
for i = 1 to iteraciones
lanza_moneda = int(rand * 2)
dormir = dormir + 1
if lanza_moneda = 1 then
cara = cara + 1
else
dormir = dormir + 1
end if
next i
print "Wakings over "; iteraciones; " repetitions = "; dormir
print "Percentage probability of heads on waking = "; (cara/dormir*100); "%"
end
```

- Output:

Igual que la entrada de FreeBASIC.

### FreeBASIC

```
Const iteraciones = 1000000
Randomize Timer
Dim As Uinteger cara = 0, dormir = 0
For i As Uinteger = 1 To iteraciones
Dim As integer lanza_moneda = Int(Rnd * 2) + 1
dormir += 1
if lanza_moneda = 1 then cara += 1 else dormir += 1
Next i
Print Using "Wakings over #####,### repetitions = #####,###"; iteraciones ; dormir
Print using "Percentage probability of heads on waking = ###.######%"; (cara/dormir*100)'; "%"
Sleep
```

- Output:

Wakings over 1,000,000 repetitions = 1,499,718 Percentage probability of heads on waking = 33.358405%

### GW-BASIC

In this simulation, Sleeping Beauty flips a coin of her own.

```
10 RANDOMIZE TIMER
20 MONDAY = 0 : TUESDAY = 1
30 HEADS = 0 : TAILS = 1
40 FOR SB = 1 TO 300000!
50 IF COIN = HEADS THEN GOSUB 150 ELSE GOSUB 210
60 COIN = INT(RND*2)
70 NEXT SB
80 PRINT "Sleeping Beauty was put through this experiment ";SB-1;" times."
90 PRINT "She was awoken ";AWAKE;" times."
100 PRINT "She guessed heads ";CHEADS+WHEADS;" times."
110 PRINT "Those guesses were correct ";CHEADS;" times. ";100*CHEADS/(CHEADS+WHEADS);"%"
120 PRINT "She guessed tails ";WTAILS+CTAILS;" times."
130 PRINT "Those guesses were correct ";CTAILS;" times. ";100*CTAILS/(CTAILS+WTAILS);"%"
140 END
150 REM interview if the coin came up heads
160 AWAKE = AWAKE + 1
170 NHEADS = NHEADS + 1
180 GUESS = INT(RND*2)
190 IF GUESS = HEADS THEN CHEADS = CHEADS + 1 ELSE WTAILS = WTAILS + 1
200 RETURN
210 REM interviews if the coin came up tails
220 FOR DAY = MONDAY TO TUESDAY
230 AWAKE = AWAKE + 1
240 GUESS = INT(RND*2)
250 IF GUESS = HEADS THEN WHEADS = WHEADS + 1 ELSE CTAILS = CTAILS + 1
260 NEXT DAY
270 RETURN
```

- Output:

Sleeping Beauty was put through this experiment 300000 times. She was awoken 449981 times. She guessed heads 224569 times. Those guesses were correct 74985 times. 33.39063 % She guessed tails 225412 times. Those guesses were correct 150378 times. 66.71251 %

### Yabasic

```
iteraciones = 1000000
cara = 0
dormir = 0
for i = 1 to iteraciones
lanza_moneda = int(ran(2))
dormir = dormir + 1
if lanza_moneda = 1 then cara = cara + 1 else dormir = dormir + 1 endif
next i
print "Wakings over ", iteraciones, " repetitions = ", dormir
print "Percentage probability of heads on waking = ", (cara/dormir*100), "%"
end
```

- Output:

Igual que la entrada de FreeBASIC.

## C++

```
#include <iostream>
#include <random>
int main() {
std::cout.imbue(std::locale(""));
const int experiments = 1000000;
std::random_device dev;
std::default_random_engine engine(dev());
std::uniform_int_distribution<int> distribution(0, 1);
int heads = 0, wakenings = 0;
for (int i = 0; i < experiments; ++i) {
++wakenings;
switch (distribution(engine)) {
case 0: // heads
++heads;
break;
case 1: // tails
++wakenings;
break;
}
}
std::cout << "Wakenings over " << experiments
<< " experiments: " << wakenings << '\n';
std::cout << "Sleeping Beauty should estimate a credence of: "
<< double(heads) / wakenings << '\n';
}
```

- Output:

Wakenings over 1,000,000 experiments: 1,500,090 Sleeping Beauty should estimate a credence of: 0.333253

## CLU

```
% This program needs to be merged with PCLU's "misc" library
% to use the random number generator.
experiment = cluster is run
rep = null
own awake: int := 0
own awake_heads: int := 0
% Returns true if heads, false if tails
coin_toss = proc () returns (bool)
return(random$next(2)=1)
end coin_toss
% Do the experiment once
do_experiment = proc ()
heads: bool := coin_toss()
% monday - wake up
awake := awake + 1
if heads then
awake_heads := awake_heads + 1
return
end
% tuesday - wake up if tails
awake := awake + 1
end do_experiment
% Run the experiment N times
run = proc (n: int) returns (real)
awake := 0
awake_heads := 0
for i: int in int$from_to(1,n) do
do_experiment()
end
return(real$i2r(awake_heads) / real$i2r(awake))
end run
end experiment
start_up = proc ()
N = 1000000
po: stream := stream$primary_output()
stream$puts(po, "Chance of waking up with heads: ")
chance: real := experiment$run(N)
stream$putl(po, f_form(chance, 1, 6))
end start_up
```

- Output:

Chance of waking up with heads: 0.333758

## Dyalect

```
let experiments = 10000
var heads = 0
var wakenings = 0
for _ in 1..experiments {
wakenings += 1
match rnd(min: 0, max: 10) {
<5 => heads += 1,
_ => wakenings += 1
}
}
print("Wakenings over \(experiments) experiments: \(wakenings)")
print("Sleeping Beauty should estimate a credence of: \(Float(heads) / Float(wakenings))")
```

## EasyLang

```
reps = 1e6
for i to reps
coin = randint 2
wakings += 1
if coin = 1
heads += 1
else
wakings += 1
.
.
print "Chance of waking up with heads: " & heads / wakings * 100 & "%"
```

## Excel

### LAMBDA

Binding the name SLEEPINGB to the lambda expression below in the Excel Workbook Name Manager:

(See LAMBDA: The ultimate Excel worksheet function)

```
SLEEPINGB
=LAMBDA(n,
LET(
headsWakes, LAMBDA(x,
IF(1 = x,
{1,1},
{0,2}
)
)(
RANDARRAY(n, 1, 0, 1, TRUE)
),
CHOOSE(
{1,2},
SUM(INDEX(headsWakes, 0, 1)),
SUM(INDEX(headsWakes, 0, 2))
)
)
)
```

- Output:

The pair of values in cells B2 and C2 both result from the application of SLEEPINGB in B2.

The credence value is returned as a ratio by the expression B2/C2 in cell D2,

with the format setting *Number > Fraction > Up to three digits*.

fx | =SLEEPINGB(1000000) | ||||
---|---|---|---|---|---|

A | B | C | D | ||

1 | Heads | Wakenings | Credence | ||

2 | Results | 500111 | 1499889 | 1/3 |

## F#

```
// Sleeping Beauty: Nigel Galloway. May 16th., 2021
let heads,woken=let n=System.Random() in {1..1000}|>Seq.fold(fun(h,w) g->match n.Next(2) with 0->(h+1,w+1) |_->(h,w+2))(0,0)
printfn "During 1000 tosses Sleeping Beauty woke %d times, %d times the toss was heads. %.0f%% of times heads had been tossed when she awoke" woken heads (100.0*float(heads)/float(woken))
```

- Output:

During 1000 tosses Sleeping Beauty woke 1519 times, 481 times the toss was heads. 32% of times heads had been tossed when she awoke

## Factor

```
USING: combinators.random io kernel math prettyprint ;
: sleeping ( n -- heads wakenings )
0 0 rot [ 1 + .5 [ [ 1 + ] dip ] [ 1 + ] ifp ] times ;
"Wakenings over 1,000,000 experiments: " write
1e6 sleeping dup . /f
"Sleeping Beauty should estimate a credence of: " write .
```

- Output:

Wakenings over 1,000,000 experiments: 1500127 Sleeping Beauty should estimate a credence of: 0.3332204540015612

## FutureBasic

```
_iterations = 1000000
local fn SleepingBeauty
NSUInteger i
CGFloat heads = 0, sleep = 0
for i = 1 to _iterations
NSInteger coinToss = int( rnd(2) )
sleep++
if coinToss = 1 then heads++ else sleep++
next
printf @"Awakenings over %lld sleep cycles = %.f", _iterations, sleep
printf @"Percent probability of heads on waking = %.4f%%", heads / sleep * 100
end fn
randomize
fn SleepingBeauty
HandleEvents
```

- Output:

Awakenings over 1000000 sleep cycles = 1499725 Percent probability of heads on waking = 33.3578%

## Go

```
package main
import (
"fmt"
"math/rand"
"rcu"
"time"
)
func sleepingBeauty(reps int) float64 {
wakings := 0
heads := 0
for i := 0; i < reps; i++ {
coin := rand.Intn(2) // heads = 0, tails = 1 say
wakings++
if coin == 0 {
heads++
} else {
wakings++
}
}
fmt.Printf("Wakings over %s repetitions = %s\n", rcu.Commatize(reps), rcu.Commatize(wakings))
return float64(heads) / float64(wakings) * 100
}
func main() {
rand.Seed(time.Now().UnixNano())
pc := sleepingBeauty(1e6)
fmt.Printf("Percentage probability of heads on waking = %f%%\n", pc)
}
```

- Output:

Sample run:

Wakings over 1,000,000 repetitions = 1,500,256 Percentage probability of heads on waking = 33.310582%

## Haskell

```
import Data.Monoid (Sum(..))
import System.Random (randomIO)
import Control.Monad (replicateM)
import Data.Bool (bool)
data Toss = Heads | Tails deriving Show
anExperiment toss =
moreWakenings <>
case toss of
Heads -> headsOnWaking
Tails -> moreWakenings
where
moreWakenings = (1,0)
headsOnWaking = (0,1)
main = do
tosses <- map (bool Heads Tails) <$> replicateM 1000000 randomIO
let (Sum w, Sum h) = foldMap anExperiment tosses
let ratio = fromIntegral h / fromIntegral w
putStrLn $ "Ratio: " ++ show ratio
```

*Main> main Ratio: 0.33339378051805013

## J

Simulation code:

```
sb=: {{
monday=. ?2
if. -. monday do.
tuesday=. ?2
<monday,tuesday
else.
<monday
end.
}}
```

```
sample=: sb"0 i.1e6 NB. simulate a million mondays
#sample NB. number of experiments
1000000
#;sample NB. number of questions
1500433
+/;sample NB. number of heads
749617
+/0={.@>sample NB. how many times was sleeping beauty drugged?
500433
(+/%#);sample NB. odds of heads at time of question
0.4996
sample+&#;sample NB. total number of awakenings
2500433
```

It's probably worth noting here that the number of heads divided by the number of awakenings would be about 0.3 -- but Sleeping Beauty was not asked to guess whether the coin was heads on Wednesday.

## Java

```
import java.util.concurrent.ThreadLocalRandom;
public final class SleepingBeauty {
public static void main(String[] aArgs) {
final int experiments = 1_000_000;
ThreadLocalRandom random = ThreadLocalRandom.current();
enum Coin { HEADS, TAILS }
int heads = 0;
int awakenings = 0;
for ( int i = 0; i < experiments; i++ ) {
Coin coin = Coin.values()[random.nextInt(0, 2)];
switch ( coin ) {
case HEADS -> { awakenings += 1; heads += 1; }
case TAILS -> awakenings += 2;
}
}
System.out.println("Awakenings over " + experiments + " experiments: " + awakenings);
String credence = String.format("%.3f", (double) heads / awakenings);
System.out.println("Sleeping Beauty should estimate a credence of: " + credence);
}
}
```

- Output:

Awakenings over 1000000 experiments: 1499522 Sleeping Beauty should estimate a credence of: 0.334

## Julia

```
"""
Run the Sleeping Beauty Problem experiment `repetitions` times, checking to see
how often we had heads on waking Sleeping Beauty.
"""
function sleeping_beauty_experiment(repetitions)
gotheadsonwaking = 0
wakenings = 0
for _ in 1:repetitions
coin_result = rand(["heads", "tails"])
# On Monday, we check if we got heads.
wakenings += 1
if coin_result == "heads"
gotheadsonwaking += 1
end
# If tails, we do this again, but of course we will not add as if it was heads.
if coin_result == "tails"
wakenings += 1
if coin_result == "heads"
gotheadsonwaking += 1 # never done
end
end
end
# Show the number of times she was wakened.
println("Wakenings over ", repetitions, " experiments: ", wakenings)
# Return the number of correct bets SB made out of the total number
# of times she is awoken over all the experiments with that bet.
return gotheadsonwaking / wakenings
end
CREDENCE = sleeping_beauty_experiment(1_000_000)
println("Results of experiment: Sleeping Beauty should estimate a credence of: ", CREDENCE)
```

- Output:

Wakenings over 1000000 experiments: 1499534 Results of experiment: Sleeping Beauty should estimate a credence of: 0.33374768428058316

## Mathematica/Wolfram Language

```
ClearAll[SleepingBeautyExperiment]
SleepingBeautyExperiment[reps_Integer] := Module[{gotheadsonwaking, wakenings, coinresult},
gotheadsonwaking = 0;
wakenings = 0;
Do[
coinresult = RandomChoice[{"heads", "tails"}];
wakenings++;
If[coinresult === "heads",
gotheadsonwaking++;
,
wakenings++;
]
,
{reps}
];
Print["Wakenings over ", reps, " experiments: ", wakenings];
gotheadsonwaking/wakenings
]
out = N@SleepingBeautyExperiment[10^6];
Print["Results of experiment: Sleeping Beauty should estimate a credence of: ", out]
```

- Output:

Wakenings over 1000000 experiments: 1499714 Results of experiment: Sleeping Beauty should estimate a credence of: 0.333588

## Nim

```
import random
const N = 1_000_000
type Side {.pure.} = enum Heads, Tails
const Sides = [Heads, Tails]
randomize()
var onHeads, wakenings = 0
for _ in 1..N:
let side = sample(Sides)
inc wakenings
if side == Heads:
inc onHeads
else:
inc wakenings
echo "Wakenings over ", N, " experiments: ", wakenings
echo "Sleeping Beauty should estimate a credence of: ", onHeads / wakenings
```

- Output:

Wakenings over 1000000 experiments: 1499971 Sleeping Beauty should estimate a credence of: 0.3333591116094911

## Pascal

```
program sleepBeau;
uses
sysutils; //Format
const
iterations = 1000*1000;
fmt = 'Wakings over %d repetitions = %d'+#13#10+
'Percentage probability of heads on waking = %8.5f%%';
var
i,
heads,
wakings,
flip: Uint32;
begin
randomize;
for i :=1 to iterations do
Begin
flip := random(2)+1;//-- 1==heads, 2==tails
inc(wakings,1 + Ord(flip=2));
inc(heads,Ord(flip=1));
end;
writeln(Format(fmt,[iterations,wakings,heads/wakings*100]));
end.
```

- Output:

Wakings over 1000000 repetitions = 1499741 Percentage probability of heads on waking = 33.35636%

## Perl

```
use strict;
use warnings;
sub sleeping_beauty {
my($trials) = @_;
my($gotheadsonwaking,$wakenings);
$wakenings++ and rand > .5 ? $gotheadsonwaking++ : $wakenings++ for 1..$trials;
$wakenings, $gotheadsonwaking/$wakenings
}
my $trials = 1_000_000;
printf "Wakenings over $trials experiments: %d\nSleeping Beauty should estimate a credence of: %.4f\n", sleeping_beauty($trials);
```

- Output:

Wakenings over 1000000 experiments: 1499816 Sleeping Beauty should estimate a credence of: 0.333

## Phix

constant iterations = 1_000_000, fmt = """ Wakings over %,d repetitions = %,d Percentage probability of heads on waking = %f%% """ integer heads = 0, wakings = 0 for i=1 to iterations do integer flip = rand(2) -- 1==heads, 2==tails wakings += 1 + (flip==2) heads += (flip==1) end for printf(1,fmt,{iterations,wakings,heads/wakings*100})

- Output:

(You'll get the exact result less than 1% of the time!!)

Wakings over 1,000,000 repetitions = 1,500,000 Percentage probability of heads on waking = 33.333333%

## Python

### Procedural

```
from random import choice
def sleeping_beauty_experiment(repetitions):
"""
Run the Sleeping Beauty Problem experiment `repetitions` times, checking to see
how often we had heads on waking Sleeping Beauty.
"""
gotheadsonwaking = 0
wakenings = 0
for _ in range(repetitions):
coin_result = choice(["heads", "tails"])
# On Monday, we check if we got heads.
wakenings += 1
if coin_result == "heads":
gotheadsonwaking += 1
# If tails, we do this again, but of course we will not add as if it was heads..
if coin_result == "tails":
wakenings += 1
if coin_result == "heads":
gotheadsonwaking += 1 # never done
# Show the number of times she was wakened.
print("Wakenings over", repetitions, "experiments:", wakenings)
# Return the number of correct bets SB made out of the total number
# of times she is awoken over all the experiments with that bet.
return gotheadsonwaking / wakenings
CREDENCE = sleeping_beauty_experiment(1_000_000)
print("Results of experiment: Sleeping Beauty should estimate a credence of:", CREDENCE)
```

- Output:

Wakenings over 1000000 experiments: 1499765 Results of experiment: Sleeping Beauty should estimate a credence of: 0.333542254953276

### Functional

```
'''Sleeping Beauty Problem'''
from random import choice
from itertools import repeat
from functools import reduce
# experiment :: (Int, Int) -> IO (Int, Int)
def experiment(headsWakings):
'''A pair of counts updated by a coin flip.
'''
heads, wakings = headsWakings
return (
1 + heads, 1 + wakings
) if "h" == choice(["h", "t"]) else (
heads, 2 + wakings
)
# ------------------------- TEST -------------------------
# main :: IO ()
def main():
'''Observed results from one million runs.'''
n = 1_000_000
heads, wakes = applyN(n)(
experiment
)(
(0, 0)
)
print(
f'{wakes} wakenings over {n} experiments.\n'
)
print('Sleeping Beauty should estimate credence')
print(f'at around {round(heads/wakes, 3)}')
# ----------------------- GENERIC ------------------------
# applyN :: Int -> (a -> a) -> a -> a
def applyN(n):
'''n applications of f.
(Church numeral n).
'''
def go(f):
def ga(a, g):
return g(a)
def fn(x):
return reduce(ga, repeat(f, n), x)
return fn
return go
# MAIN ---
if __name__ == '__main__':
main()
```

- Output:

1500188 wakenings over 1000000 experiments. Sleeping Beauty should estimate credence at around 0.333

## Quackery

```
[ $ "bigrat.qky" loadfile ] now!
[ say "Number of trials: "
dup echo cr
0 ( heads count )
0 ( sleeps count )
rot times
[ 1+
2 random if
[ 1+ dip 1+ ] ]
say "Data: heads count: "
over echo cr
say " sleeps count: "
dup echo cr
say "Credence of heads: "
2dup 20 point$ echo$ cr
say " or approximately: "
10 round vulgar$ echo$ cr ] is trials ( n --> n/d )
1000000 trials
```

- Output:

Number of trials: 1000000 Data: heads count: 500212 sleeps count: 1500212 Credence of heads: 0.33342754224069664821 or approximately: 1/3

## R

There's nothing complicated here. Pretty much every language that resembles C is going to use virtually the same solution.

```
beautyProblem <- function(n)
{
wakeCount <- headCount <- 0
for(i in seq_len(n))
{
wakeCount <- wakeCount + 1
if(sample(c("H", "T"), 1) == "H") headCount <- headCount + 1 else wakeCount <- wakeCount + 1
}
headCount/wakeCount
}
print(beautyProblem(10000000))
```

- Output:

[1] 0.3335838

## Raku

```
sub sleeping-beauty ($trials) {
my $gotheadsonwaking = 0;
my $wakenings = 0;
^$trials .map: {
given <Heads Tails>.roll {
++$wakenings;
when 'Heads' { ++$gotheadsonwaking }
when 'Tails' { ++$wakenings }
}
}
say "Wakenings over $trials experiments: ", $wakenings;
$gotheadsonwaking / $wakenings
}
say "Results of experiment: Sleeping Beauty should estimate a credence of: ", sleeping-beauty(1_000_000);
```

- Output:

Wakenings over 1000000 experiments: 1500040 Results of experiment: Sleeping Beauty should estimate a credence of: 0.333298

## Red

```
Red ["Sleeping Beauty problem"]
experiments: 1'000'000
heads: awakenings: 0
loop experiments [
awakenings: awakenings + 1
either 1 = random 2 [heads: heads + 1] [awakenings: awakenings + 1]
]
print ["Awakenings over" experiments "experiments:" awakenings]
print ["Probability of heads on waking:" heads / awakenings]
```

- Output:

Awakenings over 1000000 experiments: 1500063 Probability of heads on waking: 0.3332773356852345

## REXX

When using Regina REXX, the seed specified (for **random**) was **46**.

```
/*REXX pgm uses a Monte Carlo estimate for the results for the Sleeping Beauty problem. */
parse arg n seed . /*obtain optional arguments from the CL*/
if n=='' | n=="," then n= 1000000 /*Not specified? Then use the default.*/
if datatype(seed, 'W') then call random ,,seed /* Specified? Then use as RAND seed*/
awake= 0 /* " " " " awakened. */
do #=0 for n /*perform experiment: 1 million times?*/
if random(,1) then awake= awake + 1 /*Sleeping Beauty is awoken. */
else #= # + 1 /* " " keeps sleeping. */
end /*#*/ /* [↑] RANDOM returns: 0 or 1 */
say 'Wakenings over ' commas(n) " repetitions: " commas(#)
say 'The percentage probability of heads on awakening: ' (awake / # * 100)"%"
exit 0 /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
commas: parse arg ?; do jc=length(?)-3 to 1 by -3; ?=insert(',', ?, jc); end; return ?
```

- output when using the input of:
`, 46`

Wakenings over 1,000,000 repetitions: 1,500,000 The percentage probability of heads on awakening: 33.3333333%

## Ruby

```
def sleeping_beauty_experiment(n)
coin = [:heads, :tails]
gotheadsonwaking = 0
wakenings = 0
n.times do
wakenings += 1
coin.sample == :heads ? gotheadsonwaking += 1 : wakenings += 1
end
puts "Wakenings over #{n} experiments: #{wakenings}"
gotheadsonwaking / wakenings.to_f
end
puts "Results of experiment: Sleeping Beauty should estimate
a credence of: #{sleeping_beauty_experiment(1_000_000)}"
```

- Output:

Wakenings over 1000000 experiments: 1499604 Results of experiment: Sleeping Beauty should estimate a credence of: 0.3336854262858728

## Swift

```
let experiments = 1000000
var heads = 0
var wakenings = 0
for _ in (1...experiments) {
wakenings += 1
switch (Int.random(in: 0...1)) {
case 0:
heads += 1
default:
wakenings += 1
}
}
print("Wakenings over \(experiments) experiments: \(wakenings)")
print("Sleeping Beauty should estimate a credence of: \(Double(heads) / Double(wakenings))")
```

- Output:

Wakenings over 1000000 experiments: 1500036 Sleeping Beauty should estimate a credence of: 0.3333013341013149

## V (Vlang)

```
import rand
import rand.seed
fn sleeping_beauty(reps int) f64 {
mut wakings := 0
mut heads := 0
for _ in 0..reps {
coin := rand.intn(2) or {0} // heads = 0, tails = 1 say
wakings++
if coin == 0 {
heads++
} else {
wakings++
}
}
println("Wakings over $reps repetitions = $wakings")
return f64(heads) / f64(wakings) * 100
}
fn main() {
rand.seed(seed.time_seed_array(2))
pc := sleeping_beauty(1000000)
println("Percentage probability of heads on waking = $pc%")
}
```

- Output:

Sample run:

Wakings over 1000000 repetitions = 1500224 Percentage probability of heads on waking = 33.31342519517085%

## Wren

```
import "random" for Random
import "./fmt" for Fmt
var rand = Random.new()
var sleepingBeauty = Fn.new { |reps|
var wakings = 0
var heads = 0
for (i in 0...reps) {
var coin = rand.int(2) // heads = 0, tails = 1 say
wakings = wakings + 1
if (coin == 0) {
heads = heads + 1
} else {
wakings = wakings + 1
}
}
Fmt.print("Wakings over $,d repetitions = $,d", reps, wakings)
return heads/wakings * 100
}
var pc = sleepingBeauty.call(1e6)
Fmt.print("Percentage probability of heads on waking = $f\%", pc)
```

- Output:

Sample run:

Wakings over 1,000,000 repetitions = 1,500,321 Percentage probability of heads on waking = 33.304806%

## XPL0

```
include xpllib; \for Print
func real SleepingBeauty(Reps);
int Reps, Wakings, Heads, Coin, I;
[Wakings:= 0; Heads:= 0;
for I:= 0 to Reps-1 do
[Coin:= Ran(2); \heads = 0, tails = 1 say
Wakings:= Wakings + 1;
if Coin = 0 then Heads:= Heads + 1
else Wakings:= Wakings + 1;
];
Print("Wakings over %d repetitions = %d\n", Reps, Wakings);
return float(Heads) / float(Wakings) * 100.;
];
real PC;
[PC:= SleepingBeauty(1_000_000);
Print("Percentage probability of heads on waking = %1.6f\%\n", PC);
]
```

- Output:

Wakings over 1000000 repetitions = 1500013 Percentage probability of heads on waking = 33.332178%