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http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #SenseTalk | SenseTalk | put the temporary folder & "NewFolder" into newFolderPath
make folder newFolderPath -- create a new empty directory
if the filesAndFolders in newFolderPath is empty then
put "Directory " & newFolderPath & " is empty!"
else
put "Something is present in " & newFolderPath
end if
|
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #Sidef | Sidef | Dir.new('/my/dir').is_empty; # true, false or nil |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Dart | Dart | main() {} |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #dc | dc | {} |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #DCL | DCL | {} |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #J | J | entropy=: +/@(-@* 2&^.)@(#/.~ % #) |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Java | Java | import java.lang.Math;
import java.util.Map;
import java.util.HashMap;
public class REntropy {
@SuppressWarnings("boxing")
public static double getShannonEntropy(String s) {
int n = 0;
Map<Character, Integer> occ = new HashMap<>();
for (int c_ = 0; c_ < s.length(); ++c_) {
char cx = s.charAt(c_);
if (occ.containsKey(cx)) {
occ.put(cx, occ.get(cx) + 1);
} else {
occ.put(cx, 1);
}
++n;
}
double e = 0.0;
for (Map.Entry<Character, Integer> entry : occ.entrySet()) {
char cx = entry.getKey();
double p = (double) entry.getValue() / n;
e += p * log2(p);
}
return -e;
}
private static double log2(double a) {
return Math.log(a) / Math.log(2);
}
public static void main(String[] args) {
String[] sstr = {
"1223334444",
"1223334444555555555",
"122333",
"1227774444",
"aaBBcccDDDD",
"1234567890abcdefghijklmnopqrstuvwxyz",
"Rosetta Code",
};
for (String ss : sstr) {
double entropy = REntropy.getShannonEntropy(ss);
System.out.printf("Shannon entropy of %40s: %.12f%n", "\"" + ss + "\"", entropy);
}
return;
}
} |
http://rosettacode.org/wiki/Ethiopian_multiplication | Ethiopian multiplication | Ethiopian multiplication is a method of multiplying integers using only addition, doubling, and halving.
Method:
Take two numbers to be multiplied and write them down at the top of two columns.
In the left-hand column repeatedly halve the last number, discarding any remainders, and write the result below the last in the same column, until you write a value of 1.
In the right-hand column repeatedly double the last number and write the result below. stop when you add a result in the same row as where the left hand column shows 1.
Examine the table produced and discard any row where the value in the left column is even.
Sum the values in the right-hand column that remain to produce the result of multiplying the original two numbers together
For example: 17 × 34
17 34
Halving the first column:
17 34
8
4
2
1
Doubling the second column:
17 34
8 68
4 136
2 272
1 544
Strike-out rows whose first cell is even:
17 34
8 68
4 136
2 272
1 544
Sum the remaining numbers in the right-hand column:
17 34
8 --
4 ---
2 ---
1 544
====
578
So 17 multiplied by 34, by the Ethiopian method is 578.
Task
The task is to define three named functions/methods/procedures/subroutines:
one to halve an integer,
one to double an integer, and
one to state if an integer is even.
Use these functions to create a function that does Ethiopian multiplication.
References
Ethiopian multiplication explained (BBC Video clip)
A Night Of Numbers - Go Forth And Multiply (Video)
Russian Peasant Multiplication
Programming Praxis: Russian Peasant Multiplication
| #Euphoria | Euphoria | function emHalf(integer n)
return floor(n/2)
end function
function emDouble(integer n)
return n*2
end function
function emIsEven(integer n)
return (remainder(n,2) = 0)
end function
function emMultiply(integer a, integer b)
integer sum
sum = 0
while (a) do
if (not emIsEven(a)) then sum += b end if
a = emHalf(a)
b = emDouble(b)
end while
return sum
end function
----------------------------------------------------------------
-- runtime
printf(1,"emMultiply(%d,%d) = %d\n",{17,34,emMultiply(17,34)})
printf(1,"\nPress Any Key\n",{})
while (get_key() = -1) do end while |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Racket | Racket |
#lang racket
(define (subsums xs)
(for/fold ([sums '()] [sum 0]) ([x xs])
(values (cons (+ x sum) sums)
(+ x sum))))
(define (equivilibrium xs)
(define-values (sums total) (subsums xs))
(for/list ([sum (reverse sums)]
[x xs]
[i (in-naturals)]
#:when (= (- sum x) (- total sum)))
i))
(equivilibrium '(-7 1 5 2 -4 3 0))
|
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Raku | Raku | sub equilibrium_index(@list) {
my ($left,$right) = 0, [+] @list;
gather for @list.kv -> $i, $x {
$right -= $x;
take $i if $left == $right;
$left += $x;
}
}
my @list = -7, 1, 5, 2, -4, 3, 0;
.say for equilibrium_index(@list).grep(/\d/); |
http://rosettacode.org/wiki/Euler%27s_sum_of_powers_conjecture | Euler's sum of powers conjecture | There is a conjecture in mathematics that held for over two hundred years before it was disproved by the finding of a counterexample in 1966 by Lander and Parkin.
Euler's (disproved) sum of powers conjecture
At least k positive kth powers are required to sum to a kth power,
except for the trivial case of one kth power: yk = yk
In 1966, Leon J. Lander and Thomas R. Parkin used a brute-force search on a CDC 6600 computer restricting numbers to those less than 250.
Task
Write a program to search for an integer solution for:
x05 + x15 + x25 + x35 == y5
Where all xi's and y are distinct integers between 0 and 250 (exclusive).
Show an answer here.
Related tasks
Pythagorean quadruples.
Pythagorean triples.
| #Perl | Perl | use constant MAX => 250;
my @p5 = (0,map { $_**5 } 1 .. MAX-1);
my $s = 0;
my %p5 = map { $_ => $s++ } @p5;
for my $x0 (1..MAX-1) {
for my $x1 (1..$x0-1) {
for my $x2 (1..$x1-1) {
for my $x3 (1..$x2-1) {
my $sum = $p5[$x0] + $p5[$x1] + $p5[$x2] + $p5[$x3];
die "$x3 $x2 $x1 $x0 $p5{$sum}\n" if exists $p5{$sum};
}
}
}
} |
http://rosettacode.org/wiki/Factorial | Factorial | Definitions
The factorial of 0 (zero) is defined as being 1 (unity).
The Factorial Function of a positive integer, n, is defined as the product of the sequence:
n, n-1, n-2, ... 1
Task
Write a function to return the factorial of a number.
Solutions can be iterative or recursive.
Support for trapping negative n errors is optional.
Related task
Primorial numbers
| #PHP | PHP | <?php
function factorial($n) {
if ($n < 0) {
return 0;
}
$factorial = 1;
for ($i = $n; $i >= 1; $i--) {
$factorial = $factorial * $i;
}
return $factorial;
}
?> |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Gambas | Gambas | Public Sub Form_Open()
Dim sAnswer, sMessage As String
sAnswer = InputBox("Input an integer", "Odd or even")
If IsInteger(sAnswer) Then
If Odd(Val(sAnswer)) Then sMessage = "' is an odd number"
If Even(Val(sAnswer)) Then sMessage = "' is an even number"
Else
sMessage = "' does not compute!!"
Endif
Print "'" & sAnswer & sMessage
End |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #R | R | choose(5,3) |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Racket | Racket |
#lang racket
(require math)
(binomial 10 5)
|
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #Julia | Julia | using Primes
function collapse(n::Array{<:Integer})
sum = 0
for (p, d) in enumerate(n)
sum += d * 10 ^ (p - 1)
end
return sum
end
Base.reverse(n::Integer) = collapse(reverse(digits(n)))
isemirp(n::Integer) = (if isprime(n) m = reverse(n); return m != n && isprime(m) end; false)
function firstnemirps(m::Integer)
rst = zeros(typeof(m), m)
i, n = 1, 2
while i ≤ m
if isemirp(n)
rst[i] = n
i += 1
end
n += 1
end
return rst
end
emirps = firstnemirps(10000)
println("First 20:\n", emirps[1:20])
println("Between 7700 and 8000:\n", filter(x -> 7700 ≤ x ≤ 8000, emirps))
println("10000th:\n", emirps[10000])
|
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #Kotlin | Kotlin | // version 1.1.4
fun isPrime(n: Int) : Boolean {
if (n < 2) return false
if (n % 2 == 0) return n == 2
if (n % 3 == 0) return n == 3
var d = 5
while (d * d <= n) {
if (n % d == 0) return false
d += 2
if (n % d == 0) return false
d += 4
}
return true
}
fun reverseNumber(n: Int) : Int {
if (n < 10) return n
var sum = 0
var nn = n
while (nn > 0) {
sum = 10 * sum + nn % 10
nn /= 10
}
return sum
}
fun isEmirp(n: Int) : Boolean {
if (!isPrime(n)) return false
val reversed = reverseNumber(n)
return reversed != n && isPrime(reversed)
}
fun main(args: Array<String>) {
println("The first 20 Emirp primes are :")
var count = 0
var i = 13
do {
if (isEmirp(i)) {
print(i.toString() + " ")
count++
}
i += 2
}
while (count < 20)
println()
println()
println("The Emirp primes between 7700 and 8000 are :")
i = 7701
do {
if (isEmirp(i)) print(i.toString() + " ")
i += 2
}
while (i < 8000)
println()
println()
print("The 10,000th Emirp prime is : ")
i = 13
count = 0
do {
if (isEmirp(i)) count++
if (count == 10000) break
i += 2
}
while(true)
print(i)
} |
http://rosettacode.org/wiki/Enumerations | Enumerations | Task
Create an enumeration of constants with and without explicit values.
| #XPL0 | XPL0 | def \Fruit\ Apple, Banana, Cherry; \Apple=0, Banana=1, Cherry=2
def Apple=1, Banana=2, Cherry=4;
|
http://rosettacode.org/wiki/Enumerations | Enumerations | Task
Create an enumeration of constants with and without explicit values.
| #Z80_Assembly | Z80 Assembly | Sunday equ 0
Monday equ 1
Tuesday equ 2
Wednesday equ 3
Thursday equ 4
Friday equ 5
Saturday equ 6 |
http://rosettacode.org/wiki/Enumerations | Enumerations | Task
Create an enumeration of constants with and without explicit values.
| #zkl | zkl | const RGB_COLOR{ // put color names in a name space
const RED =0xf00;
const BLUE=0x0f0, GREEN = 0x00f;
const CYAN=BLUE + GREEN; // → 0x0ff
}
println(RGB_COLOR.BLUE); |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Euphoria | Euphoria | sequence s
-- assign an empty string
s = ""
-- another way to assign an empty string
s = {} -- "" and {} are equivalent
if not length(s) then
-- string is empty
end if
if length(s) then
-- string is not empty
end if |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #F.23 | F# | open System
[<EntryPoint>]
let main args =
let emptyString = String.Empty // or any of the literals "" @"" """"""
printfn "Is empty %A: %A" emptyString (emptyString = String.Empty)
printfn "Is not empty %A: %A" emptyString (emptyString <> String.Empty)
0 |
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #Standard_ML | Standard ML | fun isDirEmpty(path: string) =
let
val dir = OS.FileSys.openDir path
val dirEntryOpt = OS.FileSys.readDir dir
in
(
OS.FileSys.closeDir(dir);
case dirEntryOpt of
NONE => true
| _ => false
)
end; |
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #Tcl | Tcl | proc isEmptyDir {dir} {
# Get list of _all_ files in directory
set filenames [glob -nocomplain -tails -directory $dir * .*]
# Check whether list is empty (after filtering specials)
expr {![llength [lsearch -all -not -regexp $filenames {^\.\.?$}]]}
} |
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #UNIX_Shell | UNIX Shell |
#!/bin/sh
DIR=/tmp/foo
[ `ls -a $DIR|wc -l` -gt 2 ] && echo $DIR is NOT empty || echo $DIR is empty
|
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #VBA | VBA | Sub Main()
Debug.Print IsEmptyDirectory("C:\Temp")
Debug.Print IsEmptyDirectory("C:\Temp\")
End Sub
Private Function IsEmptyDirectory(D As String) As Boolean
Dim Sep As String
Sep = Application.PathSeparator
D = IIf(Right(D, 1) <> Sep, D & Sep, D)
IsEmptyDirectory = (Dir(D & "*.*") = "")
End Function |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Delphi | Delphi | {} |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Dyalect | Dyalect | {} |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #D.C3.A9j.C3.A0_Vu | Déjà Vu | |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #JavaScript | JavaScript | // Shannon entropy in bits per symbol.
function entropy(str) {
const len = str.length
// Build a frequency map from the string.
const frequencies = Array.from(str)
.reduce((freq, c) => (freq[c] = (freq[c] || 0) + 1) && freq, {})
// Sum the frequency of each character.
return Object.values(frequencies)
.reduce((sum, f) => sum - f/len * Math.log2(f/len), 0)
}
console.log(entropy('1223334444')) // 1.8464393446710154
console.log(entropy('0')) // 0
console.log(entropy('01')) // 1
console.log(entropy('0123')) // 2
console.log(entropy('01234567')) // 3
console.log(entropy('0123456789abcdef')) // 4 |
http://rosettacode.org/wiki/Ethiopian_multiplication | Ethiopian multiplication | Ethiopian multiplication is a method of multiplying integers using only addition, doubling, and halving.
Method:
Take two numbers to be multiplied and write them down at the top of two columns.
In the left-hand column repeatedly halve the last number, discarding any remainders, and write the result below the last in the same column, until you write a value of 1.
In the right-hand column repeatedly double the last number and write the result below. stop when you add a result in the same row as where the left hand column shows 1.
Examine the table produced and discard any row where the value in the left column is even.
Sum the values in the right-hand column that remain to produce the result of multiplying the original two numbers together
For example: 17 × 34
17 34
Halving the first column:
17 34
8
4
2
1
Doubling the second column:
17 34
8 68
4 136
2 272
1 544
Strike-out rows whose first cell is even:
17 34
8 68
4 136
2 272
1 544
Sum the remaining numbers in the right-hand column:
17 34
8 --
4 ---
2 ---
1 544
====
578
So 17 multiplied by 34, by the Ethiopian method is 578.
Task
The task is to define three named functions/methods/procedures/subroutines:
one to halve an integer,
one to double an integer, and
one to state if an integer is even.
Use these functions to create a function that does Ethiopian multiplication.
References
Ethiopian multiplication explained (BBC Video clip)
A Night Of Numbers - Go Forth And Multiply (Video)
Russian Peasant Multiplication
Programming Praxis: Russian Peasant Multiplication
| #F.23 | F# | let ethopian n m =
let halve n = n / 2
let double n = n * 2
let even n = n % 2 = 0
let rec loop n m result =
if n <= 1 then result + m
else if even n then loop (halve n) (double m) result
else loop (halve n) (double m) (result + m)
loop n m 0 |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Red | Red | Red []
eqindex: func [a [block!]] [
collect [
repeat ind length? a [ if (sum skip a ind) = sum copy/part a ind - 1 [ keep ind ] ]
]
]
prin "(1 based) equ indices are: "
probe eqindex [-7 1 5 2 -4 3 0]
|
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #ReScript | ReScript | let arr = [-7, 1, 5, 2, -4, 3, 0]
let sum = Js.Array2.reduce(arr, \"+", 0)
let len = Js.Array.length(arr)
let rec aux = (acc, i, left, right) => {
if (i >= len) { acc } else {
let x = arr[i]
let right = right - x
if (left == right) {
let _ = Js.Array2.push(acc, i)
}
aux(acc, i+1, (left + x), right)
}
}
let res = aux([], 0, 0, sum)
Js.log("Results:")
Js.Array2.forEach(res, Js.log) |
http://rosettacode.org/wiki/Euler%27s_sum_of_powers_conjecture | Euler's sum of powers conjecture | There is a conjecture in mathematics that held for over two hundred years before it was disproved by the finding of a counterexample in 1966 by Lander and Parkin.
Euler's (disproved) sum of powers conjecture
At least k positive kth powers are required to sum to a kth power,
except for the trivial case of one kth power: yk = yk
In 1966, Leon J. Lander and Thomas R. Parkin used a brute-force search on a CDC 6600 computer restricting numbers to those less than 250.
Task
Write a program to search for an integer solution for:
x05 + x15 + x25 + x35 == y5
Where all xi's and y are distinct integers between 0 and 250 (exclusive).
Show an answer here.
Related tasks
Pythagorean quadruples.
Pythagorean triples.
| #Phix | Phix | with javascript_semantics
constant MAX = 250
constant p5 = new_dict(),
sum2 = new_dict()
atom t0 = time()
for i=1 to MAX do
atom i5 = power(i,5)
setd(i5,i,p5)
for j=1 to i-1 do
atom j5 = power(j,5)
setd(j5+i5,{j,i},sum2)
end for
end for
?time()-t0
function forsum2(object s, object data, object p)
if p<=s then return 0 end if
integer k = getd_index(p-s,sum2)
if k!=NULL then
?getd(p,p5)&data&getd_by_index(k,sum2)
return 0 -- (show one solution per p)
end if
return 1
end function
function forp5(object key, object /*data*/, object /*user_data*/)
traverse_dict(forsum2,key,sum2)
return 1
end function
traverse_dict(forp5,0,p5)
?time()-t0
|
http://rosettacode.org/wiki/Factorial | Factorial | Definitions
The factorial of 0 (zero) is defined as being 1 (unity).
The Factorial Function of a positive integer, n, is defined as the product of the sequence:
n, n-1, n-2, ... 1
Task
Write a function to return the factorial of a number.
Solutions can be iterative or recursive.
Support for trapping negative n errors is optional.
Related task
Primorial numbers
| #Picat | Picat | fact(N) = prod(1..N) |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #GAP | GAP | IsEvenInt(n);
IsOddInt(n); |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Genie | Genie | [indent = 4]
/*
Even or odd, in Genie
valac even_or_odd.gs
*/
def parity(n:int):bool
return ((n & 1) == 0)
def show_parity(n:int):void
print "%d is %s", n, parity(n) ? "even" : "odd"
init
show_parity(0)
show_parity(1)
show_parity(2)
show_parity(-2)
show_parity(-1) |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Raku | Raku | say combinations(5, 3).elems; |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #REXX | REXX | /*REXX program calculates binomial coefficients (also known as combinations). */
numeric digits 100000 /*be able to handle gihugeic numbers. */
parse arg n k . /*obtain N and K from the C.L. */
say 'combinations('n","k')=' comb(n,k) /*display the number of combinations. */
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
comb: procedure; parse arg x,y; return !(x) % (!(x-y) * !(y))
!: procedure; !=1; do j=2 to arg(1); !=!*j; end /*j*/; return ! |
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #Lua | Lua |
function isPrime (n)
if n < 2 then return false end
if n < 4 then return true end
if n % 2 == 0 then return false end
for d = 3, math.sqrt(n), 2 do
if n % d == 0 then return false end
end
return true
end
function isEmirp (n)
if not isPrime(n) then return false end
local rev = tonumber(string.reverse(n))
if rev == n then return false end
return isPrime(rev)
end
function emirpGen (mode, a, b)
local count, n, eString = 0, 0, ""
if mode == "between" then
for n = a, b do
if isEmirp(n) then eString = eString .. n .. " " end
end
return eString
end
while count < a do
n = n + 1
if isEmirp(n) then
eString = eString .. n .. " "
count = count + 1
end
end
if mode == "first" then return eString end
if mode == "Nth" then return n end
end
if #arg > 1 and #arg < 4 then
print(emirpGen(arg[1], tonumber(arg[2]), tonumber(arg[3])))
else
print("Wrong number of arguments")
end
|
http://rosettacode.org/wiki/Enumerations | Enumerations | Task
Create an enumeration of constants with and without explicit values.
| #zonnon | zonnon |
module Enumerations;
type
Fruits = (apple,banana,cherry);
var
deserts,i: Fruits;
begin
deserts := Fruits.banana;
writeln("ord(deserts): ",integer(deserts):2);
for i := Fruits.apple to Fruits.cherry do
writeln(integer(i):2)
end
end Enumerations.
|
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Factor | Factor | "" empty? . |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Fantom | Fantom |
a := "" // assign an empty string to 'a'
a.isEmpty // method on sys::Str to check if string is empty
a.size == 0 // what isEmpty actually checks
a == "" // alternate check for an empty string
!a.isEmpty // check that a string is not empty
|
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #VBScript | VBScript |
Function IsDirEmpty(path)
IsDirEmpty = False
Set objFSO = CreateObject("Scripting.FileSystemObject")
Set objFolder = objFSO.GetFolder(path)
If objFolder.Files.Count = 0 And objFolder.SubFolders.Count = 0 Then
IsDirEmpty = True
End If
End Function
'Test
WScript.StdOut.WriteLine IsDirEmpty("C:\Temp")
WScript.StdOut.WriteLine IsDirEmpty("C:\Temp\test")
|
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #Wren | Wren | import "io" for Directory
var isEmptyDir = Fn.new { |path|
if (!Directory.exists(path)) Fiber.abort("Directory at '%(path)' does not exist.")
return Directory.list(path).count == 0
}
var path = "test"
var empty = isEmptyDir.call(path)
System.print("'%(path)' is %(empty ? "empty" : "not empty")") |
http://rosettacode.org/wiki/Empty_directory | Empty directory | Starting with a path to some directory, determine whether the directory is empty.
An empty directory contains no files nor subdirectories.
With Unix or Windows systems, every directory contains an entry for “.” and almost every directory contains “..” (except for a root directory); an empty directory contains no other entries.
| #zkl | zkl | path:="Empty"; File.isDir(path).println();
File.mkdir(path); File.isDir(path).println();
File.glob(path+"/*").println(); // show contents of directory |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #E | E | |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #eC | eC | |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #EchoLisp | EchoLisp | |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #jq | jq | # Input: an array of strings.
# Output: an object with the strings as keys, the values of which are the corresponding frequencies.
def counter:
reduce .[] as $item ( {}; .[$item] += 1 ) ;
# entropy in bits of the input string
def entropy:
(explode | map( [.] | implode ) | counter
| [ .[] | . * log ] | add) as $sum
| ((length|log) - ($sum / length)) / (2|log) ; |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Jsish | Jsish | /* Shannon entropy, in Jsish */
function values(obj:object):array {
var vals = [];
for (var key in obj) vals.push(obj[key]);
return vals;
}
function entropy(s) {
var split = s.split('');
var counter = {};
split.forEach(function(ch) {
if (!counter[ch]) counter[ch] = 1;
else counter[ch]++;
});
var lengthf = s.length * 1.0;
var counts = values(counter);
return -1 * counts.map(function(count) {
return count / lengthf * (Math.log(count / lengthf) / Math.log(2));
})
.reduce(function(a, b) { return a + b; }
);
};
if (Interp.conf('unitTest')) {
; entropy('1223334444');
; entropy('Rosetta Code');
; entropy('password');
} |
http://rosettacode.org/wiki/Ethiopian_multiplication | Ethiopian multiplication | Ethiopian multiplication is a method of multiplying integers using only addition, doubling, and halving.
Method:
Take two numbers to be multiplied and write them down at the top of two columns.
In the left-hand column repeatedly halve the last number, discarding any remainders, and write the result below the last in the same column, until you write a value of 1.
In the right-hand column repeatedly double the last number and write the result below. stop when you add a result in the same row as where the left hand column shows 1.
Examine the table produced and discard any row where the value in the left column is even.
Sum the values in the right-hand column that remain to produce the result of multiplying the original two numbers together
For example: 17 × 34
17 34
Halving the first column:
17 34
8
4
2
1
Doubling the second column:
17 34
8 68
4 136
2 272
1 544
Strike-out rows whose first cell is even:
17 34
8 68
4 136
2 272
1 544
Sum the remaining numbers in the right-hand column:
17 34
8 --
4 ---
2 ---
1 544
====
578
So 17 multiplied by 34, by the Ethiopian method is 578.
Task
The task is to define three named functions/methods/procedures/subroutines:
one to halve an integer,
one to double an integer, and
one to state if an integer is even.
Use these functions to create a function that does Ethiopian multiplication.
References
Ethiopian multiplication explained (BBC Video clip)
A Night Of Numbers - Go Forth And Multiply (Video)
Russian Peasant Multiplication
Programming Praxis: Russian Peasant Multiplication
| #Factor | Factor | USING: arrays kernel math multiline sequences ;
IN: ethiopian-multiplication
/*
This function is built-in
: odd? ( n -- ? ) 1 bitand 1 number= ;
*/
: double ( n -- 2*n ) 2 * ;
: halve ( n -- n/2 ) 2 /i ;
: ethiopian-mult ( a b -- a*b )
[ 0 ] 2dip
[ dup 0 > ] [
[ odd? [ + ] [ drop ] if ] 2keep
[ double ] [ halve ] bi*
] while 2drop ; |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #REXX | REXX | /*REXX program calculates and displays the equilibrium index for a numeric array (list).*/
parse arg x /*obtain the optional arguments from CL*/
if x='' then x= copies(" 7 -7", 50) 7 /*Not specified? Then use the default.*/
say ' array list: ' space(x) /*echo the array list to the terminal. */
#= words(x) /*the number of elements in the X list.*/
do j=0 for #; @.j= word(x, j+1) /*zero─start is for zero─based array. */
end /*j*/ /* [↑] assign @.0 @.1 @.3 ··· */
say /* ··· and also display a blank line. */
answer= equilibriumIDX(); w= words(answer) /*calculate the equilibrium index. */
say 'equilibrium' word("(none) index: indices:", 1 + (w>0) + (w>1)) answer
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
equilibriumIDX: $=; do i=0 for #; sum= 0
do k=0 for #; sum= sum + @.k * sign(k-i); end /*k*/
if sum==0 then $= $ i
end /*i*/ /* [↑] Zero? Found an equilibrium index*/
return $ /*return equilibrium list (may be null)*/ |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Ring | Ring |
list = [-7, 1, 5, 2, -4, 3, 0]
see "equilibrium indices are : " + equilibrium(list) + nl
func equilibrium l
r = 0 s = 0 e = ""
for n = 1 to len(l)
s += l[n]
next
for i = 1 to len(l)
if r = s - r - l[i] e += string(i-1) + "," ok
r += l[i]
next
e = left(e,len(e)-1)
return e
|
http://rosettacode.org/wiki/Euler%27s_sum_of_powers_conjecture | Euler's sum of powers conjecture | There is a conjecture in mathematics that held for over two hundred years before it was disproved by the finding of a counterexample in 1966 by Lander and Parkin.
Euler's (disproved) sum of powers conjecture
At least k positive kth powers are required to sum to a kth power,
except for the trivial case of one kth power: yk = yk
In 1966, Leon J. Lander and Thomas R. Parkin used a brute-force search on a CDC 6600 computer restricting numbers to those less than 250.
Task
Write a program to search for an integer solution for:
x05 + x15 + x25 + x35 == y5
Where all xi's and y are distinct integers between 0 and 250 (exclusive).
Show an answer here.
Related tasks
Pythagorean quadruples.
Pythagorean triples.
| #PHP | PHP | <?php
function eulers_sum_of_powers () {
$max_n = 250;
$pow_5 = array();
$pow_5_to_n = array();
for ($p = 1; $p <= $max_n; $p ++) {
$pow5 = pow($p, 5);
$pow_5 [$p] = $pow5;
$pow_5_to_n[$pow5] = $p;
}
foreach ($pow_5 as $n_0 => $p_0) {
foreach ($pow_5 as $n_1 => $p_1) {
if ($n_0 < $n_1) continue;
foreach ($pow_5 as $n_2 => $p_2) {
if ($n_1 < $n_2) continue;
foreach ($pow_5 as $n_3 => $p_3) {
if ($n_2 < $n_3) continue;
$pow_5_sum = $p_0 + $p_1 + $p_2 + $p_3;
if (isset($pow_5_to_n[$pow_5_sum])) {
return array($n_0, $n_1, $n_2, $n_3, $pow_5_to_n[$pow_5_sum]);
}
}
}
}
}
}
list($n_0, $n_1, $n_2, $n_3, $y) = eulers_sum_of_powers();
echo "$n_0^5 + $n_1^5 + $n_2^5 + $n_3^5 = $y^5";
?> |
http://rosettacode.org/wiki/Factorial | Factorial | Definitions
The factorial of 0 (zero) is defined as being 1 (unity).
The Factorial Function of a positive integer, n, is defined as the product of the sequence:
n, n-1, n-2, ... 1
Task
Write a function to return the factorial of a number.
Solutions can be iterative or recursive.
Support for trapping negative n errors is optional.
Related task
Primorial numbers
| #PicoLisp | PicoLisp | (de fact (N)
(if (=0 N)
1
(* N (fact (dec N))) ) ) |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Go | Go | package main
import (
"fmt"
"math/big"
)
func main() {
test(-2)
test(-1)
test(0)
test(1)
test(2)
testBig("-222222222222222222222222222222222222")
testBig("-1")
testBig("0")
testBig("1")
testBig("222222222222222222222222222222222222")
}
func test(n int) {
fmt.Printf("Testing integer %3d: ", n)
// & 1 is a good way to test
if n&1 == 0 {
fmt.Print("even ")
} else {
fmt.Print(" odd ")
}
// Careful when using %: negative n % 2 returns -1. So, the code below
// works, but can be broken by someone thinking they can reverse the
// test by testing n % 2 == 1. The valid reverse test is n % 2 != 0.
if n%2 == 0 {
fmt.Println("even")
} else {
fmt.Println(" odd")
}
}
func testBig(s string) {
b, _ := new(big.Int).SetString(s, 10)
fmt.Printf("Testing big integer %v: ", b)
// the Bit function is the only sensible test for big ints.
if b.Bit(0) == 0 {
fmt.Println("even")
} else {
fmt.Println("odd")
}
} |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Ring | Ring |
numer = 0
binomial(5,3)
see "(5,3) binomial = " + numer + nl
func binomial n, k
if k > n return nil ok
if k > n/2 k = n - k ok
numer = 1
for i = 1 to k
numer = numer * ( n - i + 1 ) / i
next
return numer
|
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Ruby | Ruby | class Integer
# binomial coefficient: n C k
def choose(k)
# n!/(n-k)!
pTop = (self-k+1 .. self).inject(1, &:*)
# k!
pBottom = (2 .. k).inject(1, &:*)
pTop / pBottom
end
end
p 5.choose(3)
p 60.choose(30) |
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #Maple | Maple | EmirpPrime := proc(n)
local eprime;
eprime := parse(StringTools:-Reverse(convert(n,string)));
if n <> eprime and isprime(n) and isprime(eprime) then
return n;
end if;
end proc:
EmirpsList := proc( n )
local i, values;
values := Array([]):
i := 0:
do
i := i + 1;
if EmirpPrime(i) <> NULL then
ArrayTools:-Append(values, i);
end if;
until numelems(values) = n;
return convert(values,list);
end proc:
EmirpsList(20);
EmirpPrime~([seq(7700..8000)]);
EmirpsList(10000)[-1];
|
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #Mathematica.2FWolfram_Language | Mathematica/Wolfram Language | reverseDigits[n_Integer] := FromDigits@Reverse@IntegerDigits@n |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Forth | Forth |
\ string words operate on the address and count left on the stack by a string
\ ? means the word returns a true/false flag on the stack
: empty? ( c-addr u -- ? ) nip 0= ;
: filled? ( c-addr u -- ? ) empty? 0= ;
: ="" ( c-addr u -- ) drop 0 ; \ It's OK to copy syntax from other languages
|
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Fortran | Fortran | SUBROUTINE TASTE(T)
CHARACTER*(*) T !This form allows for any size.
IF (LEN(T).LE.0) WRITE(6,*) "Empty!"
IF (LEN(T).GT.0) WRITE(6,*) "Not empty!"
END
CHARACTER*24 TEXT
CALL TASTE("")
CALL TASTE("This")
TEXT = "" !Fills the entire variable with space characters.
CALL TASTE(TEXT) !Passes all 24 of them. Result is Not empty!
END |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #EDSAC_order_code | EDSAC order code | T64K [ set load point ]
GK [ set base address ]
ZF [ stop ]
EZPF [ begin at load point ] |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Egel | Egel | |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Julia | Julia | entropy(s) = -sum(x -> x * log(2, x), count(x -> x == c, s) / length(s) for c in unique(s))
@show entropy("1223334444")
@show entropy([1, 2, 3, 1, 2, 1, 2, 3, 1, 2, 3, 4, 5]) |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Kotlin | Kotlin | // version 1.0.6
fun log2(d: Double) = Math.log(d) / Math.log(2.0)
fun shannon(s: String): Double {
val counters = mutableMapOf<Char, Int>()
for (c in s) {
if (counters.containsKey(c)) counters[c] = counters[c]!! + 1
else counters.put(c, 1)
}
val nn = s.length.toDouble()
var sum = 0.0
for (key in counters.keys) {
val term = counters[key]!! / nn
sum += term * log2(term)
}
return -sum
}
fun main(args: Array<String>) {
val samples = arrayOf(
"1223334444",
"1223334444555555555",
"122333",
"1227774444",
"aaBBcccDDDD",
"1234567890abcdefghijklmnopqrstuvwxyz",
"Rosetta Code"
)
println(" String Entropy")
println("------------------------------------ ------------------")
for (sample in samples) println("${sample.padEnd(36)} -> ${"%18.16f".format(shannon(sample))}")
} |
http://rosettacode.org/wiki/Ethiopian_multiplication | Ethiopian multiplication | Ethiopian multiplication is a method of multiplying integers using only addition, doubling, and halving.
Method:
Take two numbers to be multiplied and write them down at the top of two columns.
In the left-hand column repeatedly halve the last number, discarding any remainders, and write the result below the last in the same column, until you write a value of 1.
In the right-hand column repeatedly double the last number and write the result below. stop when you add a result in the same row as where the left hand column shows 1.
Examine the table produced and discard any row where the value in the left column is even.
Sum the values in the right-hand column that remain to produce the result of multiplying the original two numbers together
For example: 17 × 34
17 34
Halving the first column:
17 34
8
4
2
1
Doubling the second column:
17 34
8 68
4 136
2 272
1 544
Strike-out rows whose first cell is even:
17 34
8 68
4 136
2 272
1 544
Sum the remaining numbers in the right-hand column:
17 34
8 --
4 ---
2 ---
1 544
====
578
So 17 multiplied by 34, by the Ethiopian method is 578.
Task
The task is to define three named functions/methods/procedures/subroutines:
one to halve an integer,
one to double an integer, and
one to state if an integer is even.
Use these functions to create a function that does Ethiopian multiplication.
References
Ethiopian multiplication explained (BBC Video clip)
A Night Of Numbers - Go Forth And Multiply (Video)
Russian Peasant Multiplication
Programming Praxis: Russian Peasant Multiplication
| #FALSE | FALSE | [2/]h:
[2*]d:
[$2/2*-]o:
[0[@$][$o;![@@\$@+@]?h;!@d;!@]#%\%]m:
17 34m;!. {578} |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Ruby | Ruby | def eq_indices(list)
list.each_index.select do |i|
list[0...i].sum == list[i+1..-1].sum
end
end |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Rust | Rust |
extern crate num;
use num::traits::Zero;
fn equilibrium_indices(v: &[i32]) -> Vec<usize> {
let mut right = v.iter().sum();
let mut left = i32::zero();
v.iter().enumerate().fold(vec![], |mut out, (i, &el)| {
right -= el;
if left == right {
out.push(i);
}
left += el;
out
})
}
fn main() {
let v = [-7i32, 1, 5, 2, -4, 3, 0];
let indices = equilibrium_indices(&v);
println!("Equilibrium indices for {:?} are: {:?}", v, indices);
}
|
http://rosettacode.org/wiki/Euler%27s_sum_of_powers_conjecture | Euler's sum of powers conjecture | There is a conjecture in mathematics that held for over two hundred years before it was disproved by the finding of a counterexample in 1966 by Lander and Parkin.
Euler's (disproved) sum of powers conjecture
At least k positive kth powers are required to sum to a kth power,
except for the trivial case of one kth power: yk = yk
In 1966, Leon J. Lander and Thomas R. Parkin used a brute-force search on a CDC 6600 computer restricting numbers to those less than 250.
Task
Write a program to search for an integer solution for:
x05 + x15 + x25 + x35 == y5
Where all xi's and y are distinct integers between 0 and 250 (exclusive).
Show an answer here.
Related tasks
Pythagorean quadruples.
Pythagorean triples.
| #Picat | Picat |
import sat.
main =>
X = new_list(5), X :: 1..150, decreasing_strict(X),
X[1]**5 #= sum([X[I]**5 : I in 2..5]),
solve(X), printf("%d**5 = %d**5 + %d**5 + %d**5 + %d**5", X[1], X[2], X[3], X[4], X[5]).
|
http://rosettacode.org/wiki/Factorial | Factorial | Definitions
The factorial of 0 (zero) is defined as being 1 (unity).
The Factorial Function of a positive integer, n, is defined as the product of the sequence:
n, n-1, n-2, ... 1
Task
Write a function to return the factorial of a number.
Solutions can be iterative or recursive.
Support for trapping negative n errors is optional.
Related task
Primorial numbers
| #Piet | Piet | push 1
not
in(number)
duplicate
not // label a
pointer // pointer 1
duplicate
push 1
subtract
push 1
pointer
push 1
noop
pointer
duplicate // the next op is back at label a
push 1 // this part continues from pointer 1
noop
push 2 // label b
push 1
rot 1 2
duplicate
not
pointer // pointer 2
multiply
push 3
pointer
push 3
pointer
push 3
push 3
pointer
pointer // back at label b
pop // continues from pointer 2
out(number)
exit |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Groovy | Groovy | def isOdd = { int i -> (i & 1) as boolean }
def isEven = {int i -> ! isOdd(i) } |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Haskell | Haskell | Prelude> even 5
False
Prelude> even 42
True
Prelude> odd 5
True
Prelude> odd 42
False |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Run_BASIC | Run BASIC | print "binomial (5,1) = "; binomial(5, 1)
print "binomial (5,2) = "; binomial(5, 2)
print "binomial (5,3) = "; binomial(5, 3)
print "binomial (5,4) = "; binomial(5,4)
print "binomial (5,5) = "; binomial(5,5)
end
function binomial(n,k)
coeff = 1
for i = n - k + 1 to n
coeff = coeff * i
next i
for i = 1 to k
coeff = coeff / i
next i
binomial = coeff
end function |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Rust | Rust | fn fact(n:u32) -> u64 {
let mut f:u64 = n as u64;
for i in 2..n {
f *= i as u64;
}
return f;
}
fn choose(n: u32, k: u32) -> u64 {
let mut num:u64 = n as u64;
for i in 1..k {
num *= (n-i) as u64;
}
return num / fact(k);
}
fn main() {
println!("{}", choose(5,3));
} |
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #MATLAB | MATLAB |
NN=(1:1:1e6); %Natural numbers between 1 and t
pns=NN(isprime(NN)); %prime numbers
p=fliplr(str2num(fliplr(num2str(pns))));
a=pns(isprime(p)); b=p(isprime(p)); c=a-b;
emirps=NN(a(c~=0));
|
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Free_Pascal | Free Pascal | s := ''; |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #FreeBASIC | FreeBASIC | ' FB 1.05.0 Win64
Sub IsEmpty(s As String)
If Len(s) = 0 Then
Print "String is empty"
Else
Print "String is not empty"
End If
End Sub
Dim s As String ' implicitly assigned an empty string
IsEmpty(s)
Dim t As String = "" ' explicitly assigned an empty string
IsEmpty(t)
Dim u As String = "not empty"
IsEmpty(u)
Sleep |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #EGL | EGL |
package programs;
program Empty_program type BasicProgram {}
function main()
end
end
|
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Eiffel | Eiffel | class
ROOT
create
make
feature
make
do
end
end |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Elena | Elena | public program()
{
} |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Lambdatalk | Lambdatalk |
{def entropy
{def entropy.count
{lambda {:s :c :i}
{let { {:c {/ {A.get :i :c} {A.length :s}}}
} {* :c {log2 :c}}}}}
{def entropy.sum
{lambda {:s :c}
{- {+ {S.map {entropy.count :s :c}
{S.serie 0 {- {A.length :c} 1}}}}}}}
{lambda {:s}
{entropy.sum {A.split :s} {cdr {W.frequency :s}}}}}
-> entropy
The W.frequency function is explained in rosettacode.org/wiki/Letter_frequency#Lambdatalk
{def txt 1223334444}
-> txt
{def F {W.frequency {txt}}}
-> F
characters: {car {F}} -> [1,2,3,4]
frequencies: {cdr {F}} -> [1,2,3,4]
{entropy {txt}}
-> 1.8464393446710154
{entropy 0}
-> 0
{entropy 00000000000000}
-> 0
{entropy 11111111111111}
-> 0
{entropy 01}
-> 1
{entropy Lambdatalk}
-> 2.8464393446710154
{entropy entropy}
-> 2.807354922057604
{entropy abcdefgh}
-> 3
{entropy Rosetta Code}
-> 3.084962500721156
{entropy Longtemps je me suis couché de bonne heure}
-> 3.8608288771249444
{entropy abcdefghijklmnopqrstuvwxyz}
-> 4.70043971814109
{entropy abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz}
-> 4.70043971814109
|
http://rosettacode.org/wiki/Ethiopian_multiplication | Ethiopian multiplication | Ethiopian multiplication is a method of multiplying integers using only addition, doubling, and halving.
Method:
Take two numbers to be multiplied and write them down at the top of two columns.
In the left-hand column repeatedly halve the last number, discarding any remainders, and write the result below the last in the same column, until you write a value of 1.
In the right-hand column repeatedly double the last number and write the result below. stop when you add a result in the same row as where the left hand column shows 1.
Examine the table produced and discard any row where the value in the left column is even.
Sum the values in the right-hand column that remain to produce the result of multiplying the original two numbers together
For example: 17 × 34
17 34
Halving the first column:
17 34
8
4
2
1
Doubling the second column:
17 34
8 68
4 136
2 272
1 544
Strike-out rows whose first cell is even:
17 34
8 68
4 136
2 272
1 544
Sum the remaining numbers in the right-hand column:
17 34
8 --
4 ---
2 ---
1 544
====
578
So 17 multiplied by 34, by the Ethiopian method is 578.
Task
The task is to define three named functions/methods/procedures/subroutines:
one to halve an integer,
one to double an integer, and
one to state if an integer is even.
Use these functions to create a function that does Ethiopian multiplication.
References
Ethiopian multiplication explained (BBC Video clip)
A Night Of Numbers - Go Forth And Multiply (Video)
Russian Peasant Multiplication
Programming Praxis: Russian Peasant Multiplication
| #Forth | Forth | : even? ( n -- ? ) 1 and 0= ;
: e* ( x y -- x*y )
dup 0= if nip exit then
over 2* over 2/ recurse
swap even? if nip else + then ; |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Scala | Scala | def getEquilibriumIndex(A: Array[Int]): Int = {
val bigA: Array[BigInt] = A.map(BigInt(_))
val partialSums: Array[BigInt] = bigA.scanLeft(BigInt(0))(_+_).tail
def lSum(i: Int): BigInt = if (i == 0) 0 else partialSums(i - 1)
def rSum(i: Int): BigInt = partialSums.last - partialSums(i)
def isRandLSumEqual(i: Int): Boolean = lSum(i) == rSum(i)
(0 until partialSums.length).find(isRandLSumEqual).getOrElse(-1)
} |
http://rosettacode.org/wiki/Equilibrium_index | Equilibrium index | An equilibrium index of a sequence is an index into the sequence such that the sum of elements at lower indices is equal to the sum of elements at higher indices.
For example, in a sequence
A
{\displaystyle A}
:
A
0
=
−
7
{\displaystyle A_{0}=-7}
A
1
=
1
{\displaystyle A_{1}=1}
A
2
=
5
{\displaystyle A_{2}=5}
A
3
=
2
{\displaystyle A_{3}=2}
A
4
=
−
4
{\displaystyle A_{4}=-4}
A
5
=
3
{\displaystyle A_{5}=3}
A
6
=
0
{\displaystyle A_{6}=0}
3 is an equilibrium index, because:
A
0
+
A
1
+
A
2
=
A
4
+
A
5
+
A
6
{\displaystyle A_{0}+A_{1}+A_{2}=A_{4}+A_{5}+A_{6}}
6 is also an equilibrium index, because:
A
0
+
A
1
+
A
2
+
A
3
+
A
4
+
A
5
=
0
{\displaystyle A_{0}+A_{1}+A_{2}+A_{3}+A_{4}+A_{5}=0}
(sum of zero elements is zero)
7 is not an equilibrium index, because it is not a valid index of sequence
A
{\displaystyle A}
.
Task;
Write a function that, given a sequence, returns its equilibrium indices (if any).
Assume that the sequence may be very long.
| #Seed7 | Seed7 | $ include "seed7_05.s7i";
const array integer: numList is [] (-7, 1, 5, 2, -4, 3, 0);
const func array integer: equilibriumIndex (in array integer: elements) is func
result
var array integer: indexList is 0 times 0;
local
var integer: element is 0;
var integer: index is 0;
var integer: sum is 0;
var integer: subSum is 0;
var integer: count is 0;
begin
indexList := length(elements) times 0;
for element range elements do
sum +:= element;
end for;
for element key index range elements do
if 2 * subSum + element = sum then
incr(count);
indexList[count] := index;
end if;
subSum +:= element;
end for;
indexList := indexList[.. count];
end func;
const proc: main is func
local
var array integer: indexList is 0 times 0;
var integer: element is 0;
begin
indexList := equilibriumIndex(numList);
write("Found:");
for element range indexList do
write(" " <& element);
end for;
writeln;
end func; |
http://rosettacode.org/wiki/Euler%27s_sum_of_powers_conjecture | Euler's sum of powers conjecture | There is a conjecture in mathematics that held for over two hundred years before it was disproved by the finding of a counterexample in 1966 by Lander and Parkin.
Euler's (disproved) sum of powers conjecture
At least k positive kth powers are required to sum to a kth power,
except for the trivial case of one kth power: yk = yk
In 1966, Leon J. Lander and Thomas R. Parkin used a brute-force search on a CDC 6600 computer restricting numbers to those less than 250.
Task
Write a program to search for an integer solution for:
x05 + x15 + x25 + x35 == y5
Where all xi's and y are distinct integers between 0 and 250 (exclusive).
Show an answer here.
Related tasks
Pythagorean quadruples.
Pythagorean triples.
| #PicoLisp | PicoLisp | (off P)
(off S)
(for I 250
(idx
'P
(list (setq @@ (** I 5)) I)
T )
(for (J I (>= 250 J) (inc J))
(idx
'S
(list (+ @@ (** J 5)) (list I J))
T ) ) )
(println
(catch 'found
(for A (idx 'P)
(for B (idx 'S)
(T (<= (car A) (car B)))
(and
(lup S (- (car A) (car B)))
(throw 'found
(conc
(cadr (lup S (car B)))
(cadr (lup S (- (car A) (car B))))
(cdr (lup P (car A))) ) ) ) ) ) ) ) |
http://rosettacode.org/wiki/Factorial | Factorial | Definitions
The factorial of 0 (zero) is defined as being 1 (unity).
The Factorial Function of a positive integer, n, is defined as the product of the sequence:
n, n-1, n-2, ... 1
Task
Write a function to return the factorial of a number.
Solutions can be iterative or recursive.
Support for trapping negative n errors is optional.
Related task
Primorial numbers
| #Plain_English | Plain English | A factorial is a number.
To run:
Start up.
Demonstrate input.
Write "Bye-bye!" to the console.
Wait for 1 second.
Shut down.
To demonstrate input:
Write "Enter a number: " to the console without advancing.
Read a string from the console.
If the string is empty, exit.
Convert the string to a number.
If the number is negative, repeat.
Compute a factorial of the number.
Write "Factorial of the number: " then the factorial then the return byte to the console.
Repeat.
To decide if a string is empty:
If the string's length is 0, say yes.
Say no.
To compute a factorial of a number:
If the number is 0, put 1 into the factorial; exit.
Compute another factorial of the number minus 1. \ recursion
Put the other factorial times the number into the factorial. |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Hoon | Hoon | |= n=@ud
?: =((mod n 2) 0)
"even"
"odd" |
http://rosettacode.org/wiki/Even_or_odd | Even or odd | Task
Test whether an integer is even or odd.
There is more than one way to solve this task:
Use the even and odd predicates, if the language provides them.
Check the least significant digit. With binary integers, i bitwise-and 1 equals 0 iff i is even, or equals 1 iff i is odd.
Divide i by 2. The remainder equals 0 iff i is even. The remainder equals +1 or -1 iff i is odd.
Use modular congruences:
i ≡ 0 (mod 2) iff i is even.
i ≡ 1 (mod 2) iff i is odd.
| #Icon_and_Unicon | Icon and Unicon | procedure isEven(n)
return n%2 = 0
end |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Scala | Scala | object Binomial {
def main(args: Array[String]): Unit = {
val n=5
val k=3
val result=binomialCoefficient(n,k)
println("The Binomial Coefficient of %d and %d equals %d.".format(n, k, result))
}
def binomialCoefficient(n:Int, k:Int)=fact(n) / (fact(k) * fact(n-k))
def fact(n:Int):Int=if (n==0) 1 else n*fact(n-1)
} |
http://rosettacode.org/wiki/Evaluate_binomial_coefficients | Evaluate binomial coefficients | This programming task, is to calculate ANY binomial coefficient.
However, it has to be able to output
(
5
3
)
{\displaystyle {\binom {5}{3}}}
, which is 10.
This formula is recommended:
(
n
k
)
=
n
!
(
n
−
k
)
!
k
!
=
n
(
n
−
1
)
(
n
−
2
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
(
k
−
2
)
…
1
{\displaystyle {\binom {n}{k}}={\frac {n!}{(n-k)!k!}}={\frac {n(n-1)(n-2)\ldots (n-k+1)}{k(k-1)(k-2)\ldots 1}}}
See Also:
Combinations and permutations
Pascal's triangle
The number of samples of size k from n objects.
With combinations and permutations generation tasks.
Order Unimportant
Order Important
Without replacement
(
n
k
)
=
n
C
k
=
n
(
n
−
1
)
…
(
n
−
k
+
1
)
k
(
k
−
1
)
…
1
{\displaystyle {\binom {n}{k}}=^{n}\operatorname {C} _{k}={\frac {n(n-1)\ldots (n-k+1)}{k(k-1)\dots 1}}}
n
P
k
=
n
⋅
(
n
−
1
)
⋅
(
n
−
2
)
⋯
(
n
−
k
+
1
)
{\displaystyle ^{n}\operatorname {P} _{k}=n\cdot (n-1)\cdot (n-2)\cdots (n-k+1)}
Task: Combinations
Task: Permutations
With replacement
(
n
+
k
−
1
k
)
=
n
+
k
−
1
C
k
=
(
n
+
k
−
1
)
!
(
n
−
1
)
!
k
!
{\displaystyle {\binom {n+k-1}{k}}=^{n+k-1}\operatorname {C} _{k}={(n+k-1)! \over (n-1)!k!}}
n
k
{\displaystyle n^{k}}
Task: Combinations with repetitions
Task: Permutations with repetitions
| #Scheme | Scheme | (define (factorial n)
(define (*factorial n acc)
(if (zero? n)
acc
(*factorial (- n 1) (* acc n))))
(*factorial n 1))
(define (choose n k)
(/ (factorial n) (* (factorial k) (factorial (- n k)))))
(display (choose 5 3))
(newline) |
http://rosettacode.org/wiki/Emirp_primes | Emirp primes | An emirp (prime spelled backwards) are primes that when reversed (in their decimal representation) are a different prime.
(This rules out palindromic primes.)
Task
show the first twenty emirps
show all emirps between 7,700 and 8,000
show the 10,000th emirp
In each list, the numbers should be in order.
Invoke the (same) program once per task requirement, this will show what limit is used as the upper bound for calculating surplus (regular) primes.
The specific method of how to determine if a range or if specific values are to be shown will be left to the programmer.
See also
Wikipedia, Emirp.
The Prime Pages, emirp.
Wolfram MathWorld™, Emirp.
The On‑Line Encyclopedia of Integer Sequences, emirps (A6567).
| #Modula-2 | Modula-2 | MODULE Emirp;
FROM Conversions IMPORT StrToLong;
FROM FormatString IMPORT FormatString;
FROM LongMath IMPORT sqrt;
FROM Terminal IMPORT WriteString,WriteLn,ReadChar;
PROCEDURE IsPrime(x : LONGINT) : BOOLEAN;
VAR
i : LONGINT;
u : LONGREAL;
v : LONGINT;
BEGIN
IF x<2 THEN RETURN FALSE END;
IF x=2 THEN RETURN TRUE END;
IF x MOD 2 = 0 THEN RETURN FALSE END;
u := sqrt(FLOAT(x));
v := TRUNC(u);
FOR i:=3 TO v BY 2 DO
IF x MOD i = 0 THEN RETURN FALSE END
END;
RETURN TRUE
END IsPrime;
PROCEDURE IsEmirp(x : LONGINT) : BOOLEAN;
VAR
buf,rev : ARRAY[0..9] OF CHAR;
i,j : INTEGER;
y : LONGINT;
BEGIN
(* Terminate early if the number is even *)
IF x MOD 2 = 0 THEN RETURN FALSE END;
(* First convert the input to a string *)
FormatString("%l", buf, x);
(* Create a copy of the string revered *)
j := 0;
WHILE buf[j] # 0C DO INC(j) END;
DEC(j);
i := 0;
WHILE buf[i] # 0C DO
rev[i] := buf[j];
INC(i);
DEC(j)
END;
rev[i] := 0C;
(* Convert the reversed copy to a number *)
StrToLong(rev,y);
(* Terminate early if the number is even *)
IF y MOD 2 = 0 THEN RETURN FALSE END;
(* Discard palindromes *)
IF x=y THEN RETURN FALSE END;
RETURN IsPrime(x) AND IsPrime(y)
END IsEmirp;
VAR
buf : ARRAY[0..63] OF CHAR;
x,count : LONGINT;
BEGIN
count := 0;
x := 1;
WriteString("First 20 emirps:");
WriteLn;
WHILE count<20 DO
IF IsEmirp(x) THEN
INC(count);
FormatString("%l ", buf, x);
WriteString(buf)
END;
INC(x)
END;
WriteLn;
WriteString("Emirps between 7700 and 8000:");
WriteLn;
FOR x:=7700 TO 8000 DO
IF IsEmirp(x) THEN
FormatString("%l ", buf, x);
WriteString(buf)
END
END;
WriteLn;
WriteString("10,000th emirp:");
WriteLn;
count := 0;
x := 1;
WHILE count<10000 DO
IF IsEmirp(x) THEN
INC(count);
END;
INC(x)
END;
FormatString("%l ", buf, x-1);
WriteString(buf);
WriteLn;
ReadChar
END Emirp. |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #Frink | Frink | a = ""
if a == ""
println["empty"]
if a != ""
println["Not empty"] |
http://rosettacode.org/wiki/Empty_string | Empty string | Languages may have features for dealing specifically with empty strings
(those containing no characters).
Task
Demonstrate how to assign an empty string to a variable.
Demonstrate how to check that a string is empty.
Demonstrate how to check that a string is not empty.
Other tasks related to string operations:
Metrics
Array length
String length
Copy a string
Empty string (assignment)
Counting
Word frequency
Letter frequency
Jewels and stones
I before E except after C
Bioinformatics/base count
Count occurrences of a substring
Count how many vowels and consonants occur in a string
Remove/replace
XXXX redacted
Conjugate a Latin verb
Remove vowels from a string
String interpolation (included)
Strip block comments
Strip comments from a string
Strip a set of characters from a string
Strip whitespace from a string -- top and tail
Strip control codes and extended characters from a string
Anagrams/Derangements/shuffling
Word wheel
ABC problem
Sattolo cycle
Knuth shuffle
Ordered words
Superpermutation minimisation
Textonyms (using a phone text pad)
Anagrams
Anagrams/Deranged anagrams
Permutations/Derangements
Find/Search/Determine
ABC words
Odd words
Word ladder
Semordnilap
Word search
Wordiff (game)
String matching
Tea cup rim text
Alternade words
Changeable words
State name puzzle
String comparison
Unique characters
Unique characters in each string
Extract file extension
Levenshtein distance
Palindrome detection
Common list elements
Longest common suffix
Longest common prefix
Compare a list of strings
Longest common substring
Find common directory path
Words from neighbour ones
Change e letters to i in words
Non-continuous subsequences
Longest common subsequence
Longest palindromic substrings
Longest increasing subsequence
Words containing "the" substring
Sum of the digits of n is substring of n
Determine if a string is numeric
Determine if a string is collapsible
Determine if a string is squeezable
Determine if a string has all unique characters
Determine if a string has all the same characters
Longest substrings without repeating characters
Find words which contains all the vowels
Find words which contains most consonants
Find words which contains more than 3 vowels
Find words which first and last three letters are equals
Find words which odd letters are consonants and even letters are vowels or vice_versa
Formatting
Substring
Rep-string
Word wrap
String case
Align columns
Literals/String
Repeat a string
Brace expansion
Brace expansion using ranges
Reverse a string
Phrase reversals
Comma quibbling
Special characters
String concatenation
Substring/Top and tail
Commatizing numbers
Reverse words in a string
Suffixation of decimal numbers
Long literals, with continuations
Numerical and alphabetical suffixes
Abbreviations, easy
Abbreviations, simple
Abbreviations, automatic
Song lyrics/poems/Mad Libs/phrases
Mad Libs
Magic 8-ball
99 Bottles of Beer
The Name Game (a song)
The Old lady swallowed a fly
The Twelve Days of Christmas
Tokenize
Text between
Tokenize a string
Word break problem
Tokenize a string with escaping
Split a character string based on change of character
Sequences
Show ASCII table
De Bruijn sequences
Self-referential sequences
Generate lower case ASCII alphabet
| #FutureBasic | FutureBasic | window 1, @"Empty string", (0,0,480,270)
CFStringRef s
s = @""
if ( fn StringIsEqual( s, @"" ) ) then print @"string is empty"
if ( fn StringLength( s ) == 0 ) then print @"string is empty"
if ( len(s) == 0 ) then print @"string is empty"
print
s = @"Hello"
if ( fn StringIsEqual( s, @"" ) == NO ) then print @"string not empty"
if ( fn StringLength( s ) != 0 ) then print @"string not empty"
if ( len(s) != 0 ) then print @"string not empty"
HandleEvents |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Elixir | Elixir | |
http://rosettacode.org/wiki/Empty_program | Empty program | Task
Create the simplest possible program that is still considered "correct."
| #Elm | Elm |
--Language prints the text in " "
import Html
main =
Html.text"empty"
|
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Lang5 | Lang5 | : -rot rot rot ; [] '__A set : dip swap __A swap 1 compress append '__A
set execute __A -1 extract nip ; : nip swap drop ; : sum '+ reduce ;
: 2array 2 compress ; : comb "" split ; : lensize length nip ;
: <group> #( a -- 'a )
grade subscript dup 's dress distinct strip
length 1 2array reshape swap
'A set
: `filter(*) A in A swap select ;
'`filter apply
;
: elements(*) lensize ;
: entropy #( s -- n )
length "<group> 'elements apply" dip /
dup neg swap log * 2 log / sum ;
"1223334444" comb entropy . # 1.84643934467102 |
http://rosettacode.org/wiki/Entropy | Entropy | Task
Calculate the Shannon entropy H of a given input string.
Given the discrete random variable
X
{\displaystyle X}
that is a string of
N
{\displaystyle N}
"symbols" (total characters) consisting of
n
{\displaystyle n}
different characters (n=2 for binary), the Shannon entropy of X in bits/symbol is :
H
2
(
X
)
=
−
∑
i
=
1
n
c
o
u
n
t
i
N
log
2
(
c
o
u
n
t
i
N
)
{\displaystyle H_{2}(X)=-\sum _{i=1}^{n}{\frac {count_{i}}{N}}\log _{2}\left({\frac {count_{i}}{N}}\right)}
where
c
o
u
n
t
i
{\displaystyle count_{i}}
is the count of character
n
i
{\displaystyle n_{i}}
.
For this task, use X="1223334444" as an example. The result should be 1.84644... bits/symbol. This assumes X was a random variable, which may not be the case, or it may depend on the observer.
This coding problem calculates the "specific" or "intensive" entropy that finds its parallel in physics with "specific entropy" S0 which is entropy per kg or per mole, not like physical entropy S and therefore not the "information" content of a file. It comes from Boltzmann's H-theorem where
S
=
k
B
N
H
{\displaystyle S=k_{B}NH}
where N=number of molecules. Boltzmann's H is the same equation as Shannon's H, and it gives the specific entropy H on a "per molecule" basis.
The "total", "absolute", or "extensive" information entropy is
S
=
H
2
N
{\displaystyle S=H_{2}N}
bits
This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of "information". Every binary file with an equal number of 1's and 0's will have S=N bits. All hex files with equal symbol frequencies will have
S
=
N
log
2
(
16
)
{\displaystyle S=N\log _{2}(16)}
bits of entropy. The total entropy in bits of the example above is S= 10*18.4644 = 18.4644 bits.
The H function does not look for any patterns in data or check if X was a random variable. For example, X=000000111111 gives the same calculated entropy in all senses as Y=010011100101. For most purposes it is usually more relevant to divide the gzip length by the length of the original data to get an informal measure of how much "order" was in the data.
Two other "entropies" are useful:
Normalized specific entropy:
H
n
=
H
2
∗
log
(
2
)
log
(
n
)
{\displaystyle H_{n}={\frac {H_{2}*\log(2)}{\log(n)}}}
which varies from 0 to 1 and it has units of "entropy/symbol" or just 1/symbol. For this example, Hn<\sub>= 0.923.
Normalized total (extensive) entropy:
S
n
=
H
2
N
∗
log
(
2
)
log
(
n
)
{\displaystyle S_{n}={\frac {H_{2}N*\log(2)}{\log(n)}}}
which varies from 0 to N and does not have units. It is simply the "entropy", but it needs to be called "total normalized extensive entropy" so that it is not confused with Shannon's (specific) entropy or physical entropy. For this example, Sn<\sub>= 9.23.
Shannon himself is the reason his "entropy/symbol" H function is very confusingly called "entropy". That's like calling a function that returns a speed a "meter". See section 1.7 of his classic A Mathematical Theory of Communication and search on "per symbol" and "units" to see he always stated his entropy H has units of "bits/symbol" or "entropy/symbol" or "information/symbol". So it is legitimate to say entropy NH is "information".
In keeping with Landauer's limit, the physics entropy generated from erasing N bits is
S
=
H
2
N
k
B
ln
(
2
)
{\displaystyle S=H_{2}Nk_{B}\ln(2)}
if the bit storage device is perfectly efficient. This can be solved for H2*N to (arguably) get the number of bits of information that a physical entropy represents.
Related tasks
Fibonacci_word
Entropy/Narcissist
| #Liberty_BASIC | Liberty BASIC |
dim countOfChar( 255) ' all possible one-byte ASCII chars
source$ ="1223334444"
charCount =len( source$)
usedChar$ =""
for i =1 to len( source$) ' count which chars are used in source
ch$ =mid$( source$, i, 1)
if not( instr( usedChar$, ch$)) then usedChar$ =usedChar$ +ch$
'currentCh$ =mid$(
j =instr( usedChar$, ch$)
countOfChar( j) =countOfChar( j) +1
next i
l =len( usedChar$)
for i =1 to l
probability =countOfChar( i) /charCount
entropy =entropy -( probability *logBase( probability, 2))
next i
print " Characters used and the number of occurrences of each "
for i =1 to l
print " '"; mid$( usedChar$, i, 1); "'", countOfChar( i)
next i
print " Entropy of '"; source$; "' is "; entropy; " bits."
print " The result should be around 1.84644 bits."
end
function logBase( x, b) ' in LB log() is base 'e'.
logBase =log( x) /log( 2)
end function
|
http://rosettacode.org/wiki/Ethiopian_multiplication | Ethiopian multiplication | Ethiopian multiplication is a method of multiplying integers using only addition, doubling, and halving.
Method:
Take two numbers to be multiplied and write them down at the top of two columns.
In the left-hand column repeatedly halve the last number, discarding any remainders, and write the result below the last in the same column, until you write a value of 1.
In the right-hand column repeatedly double the last number and write the result below. stop when you add a result in the same row as where the left hand column shows 1.
Examine the table produced and discard any row where the value in the left column is even.
Sum the values in the right-hand column that remain to produce the result of multiplying the original two numbers together
For example: 17 × 34
17 34
Halving the first column:
17 34
8
4
2
1
Doubling the second column:
17 34
8 68
4 136
2 272
1 544
Strike-out rows whose first cell is even:
17 34
8 68
4 136
2 272
1 544
Sum the remaining numbers in the right-hand column:
17 34
8 --
4 ---
2 ---
1 544
====
578
So 17 multiplied by 34, by the Ethiopian method is 578.
Task
The task is to define three named functions/methods/procedures/subroutines:
one to halve an integer,
one to double an integer, and
one to state if an integer is even.
Use these functions to create a function that does Ethiopian multiplication.
References
Ethiopian multiplication explained (BBC Video clip)
A Night Of Numbers - Go Forth And Multiply (Video)
Russian Peasant Multiplication
Programming Praxis: Russian Peasant Multiplication
| #Fortran | Fortran | program EthiopicMult
implicit none
print *, ethiopic(17, 34, .true.)
contains
subroutine halve(v)
integer, intent(inout) :: v
v = int(v / 2)
end subroutine halve
subroutine doublit(v)
integer, intent(inout) :: v
v = v * 2
end subroutine doublit
function iseven(x)
logical :: iseven
integer, intent(in) :: x
iseven = mod(x, 2) == 0
end function iseven
function ethiopic(multiplier, multiplicand, tutorialized) result(r)
integer :: r
integer, intent(in) :: multiplier, multiplicand
logical, intent(in), optional :: tutorialized
integer :: plier, plicand
logical :: tutor
plier = multiplier
plicand = multiplicand
if ( .not. present(tutorialized) ) then
tutor = .false.
else
tutor = tutorialized
endif
r = 0
if ( tutor ) write(*, '(A, I0, A, I0)') "ethiopian multiplication of ", plier, " by ", plicand
do while(plier >= 1)
if ( iseven(plier) ) then
if (tutor) write(*, '(I4, " ", I6, A)') plier, plicand, " struck"
else
if (tutor) write(*, '(I4, " ", I6, A)') plier, plicand, " kept"
r = r + plicand
endif
call halve(plier)
call doublit(plicand)
end do
end function ethiopic
end program EthiopicMult |
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