Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Generate a PHP translation of this J snippet without changing its computational steps. | bogo=: monad define
whilst. +./ 2 >/\ Ry do. Ry=. (A.~ ?@!@#) y end. Ry
)
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Keep all operations the same but rewrite the snippet in PHP. | function bogosort!(arr::AbstractVector)
while !issorted(arr)
shuffle!(arr)
end
return arr
end
v = rand(-10:10, 10)
println("
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Preserve the algorithm and functionality while converting the code from Lua to PHP. | function bogosort (list)
if type (list) ~= 'table' then return list end
local function shuffle ()
local rand = math.random(1,#list)
for i=1,#list do
list[i],list[rand] = list[rand],list[i]
rand = math.random(1,#list)
end
end
local function in_o... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Change the programming language of this snippet from Mathematica to PHP without modifying what it does. | Bogosort[x_List] := Block[{t=x},While[!OrderedQ[t],t=RandomSample[x]]; t]
Bogosort[{1, 2, 6, 4, 0, -1, Pi, 3, 5}]
=> {-1, 0, 1, 2, 3, Pi, 4, 5, 6}
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Translate this program into PHP but keep the logic exactly as in MATLAB. | function list = bogoSort(list)
while( ~issorted(list) )
list = list( randperm(numel(list)) );
end
end
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Translate this program into PHP but keep the logic exactly as in Nim. | import random
randomize()
proc isSorted[T](s: openarray[T]): bool =
var last = low(T)
for c in s:
if c < last:
return false
last = c
return true
proc bogoSort[T](a: var openarray[T]) =
while not isSorted a: shuffle a
var a = @[4, 65, 2, -31, 0, 99, 2, 83, 782]
bogoSort a
echo a
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Translate this program into PHP but keep the logic exactly as in OCaml. | let rec is_sorted comp = function
| e1 :: e2 :: r -> comp e1 e2 <= 0 && is_sorted comp (e2 :: r)
| _ -> true
let shuffle l =
let ar = Array.of_list l in
for n = Array.length ar - 1 downto 1 do
let k = Random.int (n+1) in
let temp = ar.(k) in
ar.(k) <- ar.(n);
ar.(n) <-... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Write the same code in PHP as shown below in Pascal. | program bogosort;
const
max = 5;
type
list = array [1..max] of integer;
procedure printa(a: list);
var
i: integer;
begin
for i := 1 to max do
write(a[i], ' ');
writeln
end;
procedure shuffle(var a: list);
var
i,k,tmp: integer;
begin
for i := max downto 2 do begin
k := random(i) + 1;
if ... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Convert this Perl snippet to PHP and keep its semantics consistent. | use List::Util qw(shuffle);
sub bogosort
{my @l = @_;
@l = shuffle(@l) until in_order(@l);
return @l;}
sub in_order
{my $last = shift;
foreach (@_)
{$_ >= $last or return 0;
$last = $_;}
return 1;}
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Produce a functionally identical PHP code for the snippet given in PowerShell. | function shuffle ($a) {
$c = $a.Clone()
1..($c.Length - 1) | ForEach-Object {
$i = Get-Random -Minimum $_ -Maximum $c.Length
$c[$_-1],$c[$i] = $c[$i],$c[$_-1]
$c[$_-1]
}
$c[-1]
}
function isSorted( [Array] $data )
{
$sorted = $true
for( $i = 1; ( $i -lt $data.length ) -... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Rewrite the snippet below in PHP so it works the same as the original R code. | bogosort <- function(x) {
while(is.unsorted(x)) x <- sample(x)
x
}
n <- c(1, 10, 9, 7, 3, 0)
bogosort(n)
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Produce a functionally identical PHP code for the snippet given in Racket. | #lang racket
(define (bogo-sort l) (if (apply <= l) l (bogo-sort (shuffle l))))
(require rackunit)
(check-equal? (bogo-sort '(6 5 4 3 2 1)) '(1 2 3 4 5 6))
(check-equal? (bogo-sort (shuffle '(1 1 1 2 2 2))) '(1 1 1 2 2 2))
(let ((unsorted (for/list ((i 10)) (random 1000))))
(displayln unsorted)
(displayln (bogo-s... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Transform the following COBOL implementation into PHP, maintaining the same output and logic. | identification division.
program-id. bogo-sort-program.
data division.
working-storage section.
01 array-to-sort.
05 item-table.
10 item pic 999
occurs 10 times.
01 randomization.
05 random-seed pic 9(8).
05 random-index pic 9.
01 flags-counters-etc.
05 array-i... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Change the following REXX code into PHP without altering its purpose. |
options replace format comments java crossref savelog symbols nobinary
import java.util.List
method isSorted(list = List) private static returns boolean
if list.isEmpty then
return isTrue
it = list.iterator
last = Comparable it.next
loop label i_ while it.hasNext
current = Comparable it.next
if... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Convert the following code from Ruby to PHP, ensuring the logic remains intact. | def shuffle(l)
l.sort_by { rand }
end
def bogosort(l)
l = shuffle(l) until in_order(l)
l
end
def in_order(l)
(0..l.length-2).all? {|i| l[i] <= l[i+1] }
end
| function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Maintain the same structure and functionality when rewriting this code in PHP. |
const val RAND_MAX = 32768
val rand = java.util.Random()
fun isSorted(a: IntArray): Boolean {
val n = a.size
if (n < 2) return true
for (i in 1 until n) {
if (a[i] < a[i - 1]) return false
}
return true
}
fun shuffle(a: IntArray) {
val n = a.size
if (n < 2) return
for (i in... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Rewrite this program in PHP while keeping its functionality equivalent to the Swift version. | import Darwin
func shuffle<T>(inout array: [T]) {
for i in 1..<array.count {
let j = Int(arc4random_uniform(UInt32(i)))
(array[i], array[j]) = (array[j], array[i])
}
}
func issorted<T:Comparable>(ary: [T]) -> Bool {
for i in 0..<(ary.count-1) {
if ary[i] > ary[i+1] {
return false
}
}
r... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Generate an equivalent PHP version of this Tcl code. | package require Tcl 8.5
proc shuffleInPlace {listName} {
upvar 1 $listName list
set len [set len2 [llength $list]]
for {set i 0} {$i < $len-1} {incr i; incr len2 -1} {
set n [expr {int($i + $len2 * rand())}]
set temp [lindex $list $i]
lset list $i [lindex $list $n]... | function bogosort($l) {
while (!in_order($l))
shuffle($l);
return $l;
}
function in_order($l) {
for ($i = 1; $i < count($l); $i++)
if ($l[$i] < $l[$i-1])
return FALSE;
return TRUE;
}
|
Write the same algorithm in Rust as shown in this C implementation. | #include <stdio.h>
#include <stdlib.h>
#include <stdbool.h>
bool is_sorted(int *a, int n)
{
while ( --n >= 1 ) {
if ( a[n] < a[n-1] ) return false;
}
return true;
}
void shuffle(int *a, int n)
{
int i, t, r;
for(i=0; i < n; i++) {
t = a[i];
r = rand() % n;
a[i] = a[r];
a[r] = t;
}
}
v... | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... |
Write the same algorithm in Rust as shown in this C++ implementation. | #include <algorithm>
#include <iostream>
#include <iterator>
#include <random>
template <typename RandomAccessIterator, typename Predicate>
void bogo_sort(RandomAccessIterator begin, RandomAccessIterator end,
Predicate p) {
std::random_device rd;
std::mt19937 generator(rd());
while (!std::is_sorte... | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... |
Rewrite this program in Rust while keeping its functionality equivalent to the C# version. | using System;
using System.Collections.Generic;
namespace RosettaCode.BogoSort
{
public static class BogoSorter
{
public static void Sort<T>(List<T> list) where T:IComparable
{
while (!list.isSorted())
{
list.Shuffle();
}
}
pr... | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... |
Produce a functionally identical Python code for the snippet given in Rust. | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... | import random
def bogosort(l):
while not in_order(l):
random.shuffle(l)
return l
def in_order(l):
if not l:
return True
last = l[0]
for x in l[1:]:
if x < last:
return False
last = x
return True
|
Generate an equivalent VB version of this Rust code. | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... | Private Function Knuth(a As Variant) As Variant
Dim t As Variant, i As Integer
If Not IsMissing(a) Then
For i = UBound(a) To LBound(a) + 1 Step -1
j = Int((UBound(a) - LBound(a) + 1) * Rnd + LBound(a))
t = a(i)
a(i) = a(j)
a(j) = t
Next i
End I... |
Produce a language-to-language conversion: from Java to Rust, same semantics. | public class BogoSort
{
public static void main(String[] args)
{
int[] arr={4,5,6,0,7,8,9,1,2,3};
BogoSort now=new BogoSort();
System.out.print("Unsorted: ");
now.display1D(arr);
now.bogo(arr);
System.out.print("Sorted: ");
now.display1D(arr);
}
void bogo(int[] arr)
{
int shuffle=1;... | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... |
Produce a functionally identical Rust code for the snippet given in Go. | package main
import (
"fmt"
"math/rand"
"sort"
"time"
)
func main() {
list := []int{31, 41, 59, 26, 53, 58, 97, 93, 23, 84}
rand.Seed(time.Now().UnixNano())
fmt.Println("unsorted:", list)
temp := make([]int, len(list))
copy(temp, list)
for !sort.IntsAreSorted(temp) {
fo... | extern crate rand;
use rand::Rng;
fn bogosort_by<T,F>(order: F, coll: &mut [T])
where F: Fn(&T, &T) -> bool
{
let mut rng = rand::thread_rng();
while !is_sorted_by(&order, coll) {
rng.shuffle(coll);
}
}
#[inline]
fn is_sorted_by<T,F>(order: F, coll: &[T]) -> bool
where F: Fn(&T,&T) -> bool... |
Write a version of this Ada function in C# with identical behavior. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Generate a C translation of this Ada snippet without changing its computational steps. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Change the following Ada code into C++ without altering its purpose. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Rewrite the snippet below in Go so it works the same as the original Ada code. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Convert the following code from Ada to Java, ensuring the logic remains intact. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Port the following code from Ada to Python with equivalent syntax and logic. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Keep all operations the same but rewrite the snippet in VB. | with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Numerics.Elementary_Functions; use Ada.Numerics.Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with Ada.Float_Text_IO; use Ada.Float_Text_IO;
with Ada.Integer_Text_IO; ... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Change the following Arturo code into C without altering its purpose. | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Translate the given Arturo code snippet into C# without altering its behavior. | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Maintain the same structure and functionality when rewriting this code in C++. | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Ensure the translated Java code behaves exactly like the original Arturo snippet. | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Translate this program into Python but keep the logic exactly as in Arturo. | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Maintain the same structure and functionality when rewriting this code in VB. | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Can you help me rewrite this code in Go instead of Arturo, keeping it the same logically? | arr: new []
loop [2 4 4 4 5 5 7 9] 'value [
'arr ++ value
print [value "->" deviation arr]
]
| package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Write the same algorithm in C as shown in this AutoHotKey implementation. | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Can you help me rewrite this code in C# instead of AutoHotKey, keeping it the same logically? | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Produce a functionally identical C++ code for the snippet given in AutoHotKey. | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Transform the following AutoHotKey implementation into Java, maintaining the same output and logic. | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Translate this program into Python but keep the logic exactly as in AutoHotKey. | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Please provide an equivalent version of this AutoHotKey code in VB. | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Rewrite this program in Go while keeping its functionality equivalent to the AutoHotKey version. | Data := [2,4,4,4,5,5,7,9]
for k, v in Data {
FileAppend, % "#" a_index " value = " v " stddev = " stddev(v) "`n", *
}
return
stddev(x) {
static n, sum, sum2
n++
sum += x
sum2 += x*x
return sqrt((sum2/n) - (((sum*sum)/n)/n))
}
| package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Preserve the algorithm and functionality while converting the code from AWK to C. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Translate this program into C# but keep the logic exactly as in AWK. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Please provide an equivalent version of this AWK code in C++. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Port the provided AWK code into Java while preserving the original functionality. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Generate an equivalent Python version of this AWK code. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Preserve the algorithm and functionality while converting the code from AWK to VB. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Produce a language-to-language conversion: from AWK to Go, same semantics. |
BEGIN {
n = split("2,4,4,4,5,5,7,9",arr,",")
for (i=1; i<=n; i++) {
temp[i] = arr[i]
printf("%g %g\n",arr[i],stdev(temp))
}
exit(0)
}
function stdev(arr, i,n,s1,s2,variance,x) {
for (i in arr) {
n++
x = arr[i]
s1 += x ^ 2
s2 += x
}
variance = ((n * s1) -... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Write the same algorithm in C as shown in this BBC_Basic implementation. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Keep all operations the same but rewrite the snippet in C#. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Change the following BBC_Basic code into C++ without altering its purpose. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Produce a language-to-language conversion: from BBC_Basic to Java, same semantics. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Write the same code in Python as shown below in BBC_Basic. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Preserve the algorithm and functionality while converting the code from BBC_Basic to VB. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Write a version of this BBC_Basic function in Go with identical behavior. | MAXITEMS = 100
FOR i% = 1 TO 8
READ n
PRINT "Value = "; n ", running SD = " FNrunningsd(n)
NEXT
END
DATA 2,4,4,4,5,5,7,9
DEF FNrunningsd(n)
PRIVATE list(), i%
DIM list(MAXITEMS)
i% += 1
list(i%) = n
= SQR(MOD(list())^2/i% - ... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Translate this program into C but keep the logic exactly as in Common_Lisp. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Generate an equivalent C# version of this Common_Lisp code. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Change the following Common_Lisp code into C++ without altering its purpose. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Port the following code from Common_Lisp to Java with equivalent syntax and logic. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Write a version of this Common_Lisp function in Python with identical behavior. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Rewrite the snippet below in VB so it works the same as the original Common_Lisp code. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Convert this Common_Lisp block to Go, preserving its control flow and logic. | (defn stateful-std-deviation[x]
(letfn [(std-dev[x]
(let [v (deref (find-var (symbol (str *ns* "/v"))))]
(swap! v conj x)
(let [m (/ (reduce + @v) (count @v))]
(Math/sqrt (/ (reduce + (map #(* (- m %) (- m %)) @v)) (count @v))))))]
(when (nil? (resolve 'v))
... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Generate an equivalent C version of this D code. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Ensure the translated C# code behaves exactly like the original D snippet. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Write the same algorithm in C++ as shown in this D implementation. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Write the same code in Java as shown below in D. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Write a version of this D function in Python with identical behavior. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Produce a functionally identical VB code for the snippet given in D. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Generate an equivalent Go version of this D code. | import std.stdio, std.math;
struct StdDev {
real sum = 0.0, sqSum = 0.0;
long nvalues;
void addNumber(in real input) pure nothrow {
nvalues++;
sum += input;
sqSum += input ^^ 2;
}
real getStdDev() const pure nothrow {
if (nvalues == 0)
return 0.0;
... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Port the provided Delphi code into C while preserving the original functionality. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Produce a language-to-language conversion: from Delphi to C#, same semantics. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Change the following Delphi code into C++ without altering its purpose. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Rewrite the snippet below in Java so it works the same as the original Delphi code. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Convert this Delphi block to Python, preserving its control flow and logic. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Please provide an equivalent version of this Delphi code in VB. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Please provide an equivalent version of this Delphi code in Go. | program prj_CalcStdDerv;
uses
Math;
var Series:Array of Extended;
UserString:String;
function AppendAndCalc(NewVal:Extended):Extended;
begin
setlength(Series,high(Series)+2);
Series[high(Series)] := NewVal;
result := PopnStdDev(Series);
end;
const data:array[0..7] of Extended =
(2,4,4,4,5,5,7,9);
... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Port the following code from Elixir to C with equivalent syntax and logic. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Write a version of this Elixir function in C# with identical behavior. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Port the provided Elixir code into C++ while preserving the original functionality. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Write the same code in Java as shown below in Elixir. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Convert this Elixir block to Python, preserving its control flow and logic. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Produce a language-to-language conversion: from Elixir to VB, same semantics. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Convert this Elixir snippet to Go and keep its semantics consistent. | defmodule Standard_deviation do
def add_sample( pid, n ), do: send( pid, {:add, n} )
def create, do: spawn_link( fn -> loop( [] ) end )
def destroy( pid ), do: send( pid, :stop )
def get( pid ) do
send( pid, {:get, self()} )
receive do
{ :get, value, _pid } -> value
end
end
def... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Write the same algorithm in C as shown in this Erlang implementation. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Rewrite this program in C# while keeping its functionality equivalent to the Erlang version. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Convert the following code from Erlang to C++, ensuring the logic remains intact. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Produce a functionally identical Java code for the snippet given in Erlang. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Produce a functionally identical Python code for the snippet given in Erlang. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
Ensure the translated VB code behaves exactly like the original Erlang snippet. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | data = Array(2,4,4,4,5,5,7,9)
For i = 0 To UBound(data)
WScript.StdOut.Write "value = " & data(i) &_
" running sd = " & sd(data,i)
WScript.StdOut.WriteLine
Next
Function sd(arr,n)
mean = 0
variance = 0
For j = 0 To n
mean = mean + arr(j)
Next
mean = mean/(n+1)
For k = 0 To n
variance = variance + ((arr(... |
Rewrite this program in Go while keeping its functionality equivalent to the Erlang version. | -module( standard_deviation ).
-export( [add_sample/2, create/0, destroy/1, get/1, task/0] ).
-compile({no_auto_import,[get/1]}).
add_sample( Pid, N ) -> Pid ! {add, N}.
create() -> erlang:spawn_link( fun() -> loop( [] ) end ).
destroy( Pid ) -> Pid ! stop.
get( Pid ) ->
Pid ! {get, erlang:self()},
receive
{ge... | package main
import (
"fmt"
"math"
)
func newRsdv() func(float64) float64 {
var n, a, q float64
return func(x float64) float64 {
n++
a1 := a+(x-a)/n
q, a = q+(x-a)*(x-a1), a1
return math.Sqrt(q/n)
}
}
func main() {
r := newRsdv()
for _, x := range []float6... |
Can you help me rewrite this code in C instead of Factor, keeping it the same logically? | USING: accessors io kernel math math.functions math.parser
sequences ;
IN: standard-deviator
TUPLE: standard-deviator sum sum^2 n ;
: <standard-deviator> ( -- standard-deviator )
0.0 0.0 0 standard-deviator boa ;
: current-std ( standard-deviator -- std )
[ [ sum^2>> ] [ n>> ] bi / ]
[ [ sum>> ] [ n>> ] ... | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
typedef enum Action { STDDEV, MEAN, VAR, COUNT } Action;
typedef struct stat_obj_struct {
double sum, sum2;
size_t num;
Action action;
} sStatObject, *StatObject;
StatObject NewStatObject( Action action )
{
StatObject so;
so = malloc(sizeof(sSta... |
Keep all operations the same but rewrite the snippet in C#. | USING: accessors io kernel math math.functions math.parser
sequences ;
IN: standard-deviator
TUPLE: standard-deviator sum sum^2 n ;
: <standard-deviator> ( -- standard-deviator )
0.0 0.0 0 standard-deviator boa ;
: current-std ( standard-deviator -- std )
[ [ sum^2>> ] [ n>> ] bi / ]
[ [ sum>> ] [ n>> ] ... | using System;
using System.Collections.Generic;
using System.Linq;
namespace standardDeviation
{
class Program
{
static void Main(string[] args)
{
List<double> nums = new List<double> { 2, 4, 4, 4, 5, 5, 7, 9 };
for (int i = 1; i <= nums.Count; i++)
... |
Generate a C++ translation of this Factor snippet without changing its computational steps. | USING: accessors io kernel math math.functions math.parser
sequences ;
IN: standard-deviator
TUPLE: standard-deviator sum sum^2 n ;
: <standard-deviator> ( -- standard-deviator )
0.0 0.0 0 standard-deviator boa ;
: current-std ( standard-deviator -- std )
[ [ sum^2>> ] [ n>> ] bi / ]
[ [ sum>> ] [ n>> ] ... | #include <assert.h>
#include <cmath>
#include <vector>
#include <iostream>
template<int N> struct MomentsAccumulator_
{
std::vector<double> m_;
MomentsAccumulator_() : m_(N + 1, 0.0) {}
void operator()(double v)
{
double inc = 1.0;
for (auto& mi : m_)
{
mi += inc;
inc *= v;
}
}
};
double Stdev(cons... |
Translate the given Factor code snippet into Java without altering its behavior. | USING: accessors io kernel math math.functions math.parser
sequences ;
IN: standard-deviator
TUPLE: standard-deviator sum sum^2 n ;
: <standard-deviator> ( -- standard-deviator )
0.0 0.0 0 standard-deviator boa ;
: current-std ( standard-deviator -- std )
[ [ sum^2>> ] [ n>> ] bi / ]
[ [ sum>> ] [ n>> ] ... | public class StdDev {
int n = 0;
double sum = 0;
double sum2 = 0;
public double sd(double x) {
n++;
sum += x;
sum2 += x*x;
return Math.sqrt(sum2/n - sum*sum/n/n);
}
public static void main(String[] args) {
double[] testData = {2,4,4,4,5,5,7,9};
StdDev sd = new StdDev();
... |
Please provide an equivalent version of this Factor code in Python. | USING: accessors io kernel math math.functions math.parser
sequences ;
IN: standard-deviator
TUPLE: standard-deviator sum sum^2 n ;
: <standard-deviator> ( -- standard-deviator )
0.0 0.0 0 standard-deviator boa ;
: current-std ( standard-deviator -- std )
[ [ sum^2>> ] [ n>> ] bi / ]
[ [ sum>> ] [ n>> ] ... | >>> from math import sqrt
>>> def sd(x):
sd.sum += x
sd.sum2 += x*x
sd.n += 1.0
sum, sum2, n = sd.sum, sd.sum2, sd.n
return sqrt(sum2/n - sum*sum/n/n)
>>> sd.sum = sd.sum2 = sd.n = 0
>>> for value in (2,4,4,4,5,5,7,9):
print (value, sd(value))
(2, 0.0)
(4, 1.0)
(4, 0.94280904158206258... |
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