Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Ensure the translated C# code behaves exactly like the original Ruby snippet. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| using System;
using System.Collections.Generic;
public class Program
{
public static IEnumerable<int[]> Combinations(int m, int n)
{
int[] result = new int[m];
Stack<int> stack = new Stack<int>();
stack.Push(0);
while (stack.Count > 0)
{
... |
Convert the following code from Ruby to C++, ensuring the logic remains intact. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| #include <algorithm>
#include <iostream>
#include <string>
void comb(int N, int K)
{
std::string bitmask(K, 1);
bitmask.resize(N, 0);
do {
for (int i = 0; i < N; ++i)
{
if (bitmask[i]) std::cout << " " << i;
}
std::cout << std::endl;
} while (std::pr... |
Change the programming language of this snippet from Ruby to Java without modifying what it does. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| import java.util.Collections;
import java.util.LinkedList;
public class Comb{
public static void main(String[] args){
System.out.println(comb(3,5));
}
public static String bitprint(int u){
String s= "";
for(int n= 0;u > 0;++n, u>>= 1)
... |
Generate an equivalent Python version of this Ruby code. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| >>> from itertools import combinations
>>> list(combinations(range(5),3))
[(0, 1, 2), (0, 1, 3), (0, 1, 4), (0, 2, 3), (0, 2, 4), (0, 3, 4), (1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]
|
Produce a language-to-language conversion: from Ruby to VB, same semantics. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| input "Enter n comb m. ", n
input m
outstr$ = ""
call iterate (outstr$, 0, m-1, n-1)
end
subroutine iterate (curr$, start, stp, depth)
for i = start to stp
if depth = 0 then print curr$ + " " + string(i)
call iterate (curr$ + " " + string(i), i+1, stp, depth-1)
next i
end subroutine
|
Port the following code from Ruby to Go with equivalent syntax and logic. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| package main
import (
"fmt"
)
func main() {
comb(5, 3, func(c []int) {
fmt.Println(c)
})
}
func comb(n, m int, emit func([]int)) {
s := make([]int, m)
last := m - 1
var rc func(int, int)
rc = func(i, next int) {
for j := next; j < n; j++ {
s[i] = j
... |
Write the same algorithm in C as shown in this Scala implementation. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| #include <stdio.h>
typedef unsigned long marker;
marker one = 1;
void comb(int pool, int need, marker chosen, int at)
{
if (pool < need + at) return;
if (!need) {
for (at = 0; at < pool; at++)
if (chosen & (one << at)) printf("%d ", at);
printf("\n");
return;
}
comb(pool, need - 1, chosen | (one ... |
Maintain the same structure and functionality when rewriting this code in C#. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| using System;
using System.Collections.Generic;
public class Program
{
public static IEnumerable<int[]> Combinations(int m, int n)
{
int[] result = new int[m];
Stack<int> stack = new Stack<int>();
stack.Push(0);
while (stack.Count > 0)
{
... |
Translate the given Scala code snippet into C++ without altering its behavior. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| #include <algorithm>
#include <iostream>
#include <string>
void comb(int N, int K)
{
std::string bitmask(K, 1);
bitmask.resize(N, 0);
do {
for (int i = 0; i < N; ++i)
{
if (bitmask[i]) std::cout << " " << i;
}
std::cout << std::endl;
} while (std::pr... |
Produce a language-to-language conversion: from Scala to Java, same semantics. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| import java.util.Collections;
import java.util.LinkedList;
public class Comb{
public static void main(String[] args){
System.out.println(comb(3,5));
}
public static String bitprint(int u){
String s= "";
for(int n= 0;u > 0;++n, u>>= 1)
... |
Transform the following Scala implementation into Python, maintaining the same output and logic. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| >>> from itertools import combinations
>>> list(combinations(range(5),3))
[(0, 1, 2), (0, 1, 3), (0, 1, 4), (0, 2, 3), (0, 2, 4), (0, 3, 4), (1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]
|
Convert this Scala snippet to VB and keep its semantics consistent. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| input "Enter n comb m. ", n
input m
outstr$ = ""
call iterate (outstr$, 0, m-1, n-1)
end
subroutine iterate (curr$, start, stp, depth)
for i = start to stp
if depth = 0 then print curr$ + " " + string(i)
call iterate (curr$ + " " + string(i), i+1, stp, depth-1)
next i
end subroutine
|
Please provide an equivalent version of this Scala code in Go. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| package main
import (
"fmt"
)
func main() {
comb(5, 3, func(c []int) {
fmt.Println(c)
})
}
func comb(n, m int, emit func([]int)) {
s := make([]int, m)
last := m - 1
var rc func(int, int)
rc = func(i, next int) {
for j := next; j < n; j++ {
s[i] = j
... |
Write the same code in C as shown below in Swift. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | #include <stdio.h>
typedef unsigned long marker;
marker one = 1;
void comb(int pool, int need, marker chosen, int at)
{
if (pool < need + at) return;
if (!need) {
for (at = 0; at < pool; at++)
if (chosen & (one << at)) printf("%d ", at);
printf("\n");
return;
}
comb(pool, need - 1, chosen | (one ... |
Convert this Swift snippet to C# and keep its semantics consistent. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | using System;
using System.Collections.Generic;
public class Program
{
public static IEnumerable<int[]> Combinations(int m, int n)
{
int[] result = new int[m];
Stack<int> stack = new Stack<int>();
stack.Push(0);
while (stack.Count > 0)
{
... |
Port the provided Swift code into C++ while preserving the original functionality. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | #include <algorithm>
#include <iostream>
#include <string>
void comb(int N, int K)
{
std::string bitmask(K, 1);
bitmask.resize(N, 0);
do {
for (int i = 0; i < N; ++i)
{
if (bitmask[i]) std::cout << " " << i;
}
std::cout << std::endl;
} while (std::pr... |
Keep all operations the same but rewrite the snippet in Java. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | import java.util.Collections;
import java.util.LinkedList;
public class Comb{
public static void main(String[] args){
System.out.println(comb(3,5));
}
public static String bitprint(int u){
String s= "";
for(int n= 0;u > 0;++n, u>>= 1)
... |
Generate an equivalent Python version of this Swift code. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | >>> from itertools import combinations
>>> list(combinations(range(5),3))
[(0, 1, 2), (0, 1, 3), (0, 1, 4), (0, 2, 3), (0, 2, 4), (0, 3, 4), (1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]
|
Write the same code in VB as shown below in Swift. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | input "Enter n comb m. ", n
input m
outstr$ = ""
call iterate (outstr$, 0, m-1, n-1)
end
subroutine iterate (curr$, start, stp, depth)
for i = start to stp
if depth = 0 then print curr$ + " " + string(i)
call iterate (curr$ + " " + string(i), i+1, stp, depth-1)
next i
end subroutine
|
Write a version of this Swift function in Go with identical behavior. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | package main
import (
"fmt"
)
func main() {
comb(5, 3, func(c []int) {
fmt.Println(c)
})
}
func comb(n, m int, emit func([]int)) {
s := make([]int, m)
last := m - 1
var rc func(int, int)
rc = func(i, next int) {
for j := next; j < n; j++ {
s[i] = j
... |
Convert this Tcl block to C, preserving its control flow and logic. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | #include <stdio.h>
typedef unsigned long marker;
marker one = 1;
void comb(int pool, int need, marker chosen, int at)
{
if (pool < need + at) return;
if (!need) {
for (at = 0; at < pool; at++)
if (chosen & (one << at)) printf("%d ", at);
printf("\n");
return;
}
comb(pool, need - 1, chosen | (one ... |
Rewrite this program in C# while keeping its functionality equivalent to the Tcl version. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | using System;
using System.Collections.Generic;
public class Program
{
public static IEnumerable<int[]> Combinations(int m, int n)
{
int[] result = new int[m];
Stack<int> stack = new Stack<int>();
stack.Push(0);
while (stack.Count > 0)
{
... |
Write a version of this Tcl function in C++ with identical behavior. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | #include <algorithm>
#include <iostream>
#include <string>
void comb(int N, int K)
{
std::string bitmask(K, 1);
bitmask.resize(N, 0);
do {
for (int i = 0; i < N; ++i)
{
if (bitmask[i]) std::cout << " " << i;
}
std::cout << std::endl;
} while (std::pr... |
Port the provided Tcl code into Java while preserving the original functionality. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | import java.util.Collections;
import java.util.LinkedList;
public class Comb{
public static void main(String[] args){
System.out.println(comb(3,5));
}
public static String bitprint(int u){
String s= "";
for(int n= 0;u > 0;++n, u>>= 1)
... |
Transform the following Tcl implementation into Python, maintaining the same output and logic. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | >>> from itertools import combinations
>>> list(combinations(range(5),3))
[(0, 1, 2), (0, 1, 3), (0, 1, 4), (0, 2, 3), (0, 2, 4), (0, 3, 4), (1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]
|
Change the following Tcl code into VB without altering its purpose. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | input "Enter n comb m. ", n
input m
outstr$ = ""
call iterate (outstr$, 0, m-1, n-1)
end
subroutine iterate (curr$, start, stp, depth)
for i = start to stp
if depth = 0 then print curr$ + " " + string(i)
call iterate (curr$ + " " + string(i), i+1, stp, depth-1)
next i
end subroutine
|
Translate the given Tcl code snippet into Go without altering its behavior. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | package main
import (
"fmt"
)
func main() {
comb(5, 3, func(c []int) {
fmt.Println(c)
})
}
func comb(n, m int, emit func([]int)) {
s := make([]int, m)
last := m - 1
var rc func(int, int)
rc = func(i, next int) {
for j := next; j < n; j++ {
s[i] = j
... |
Generate a PHP translation of this Rust snippet without changing its computational steps. | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Ensure the translated PHP code behaves exactly like the original Ada snippet. | with Ada.Text_IO; use Ada.Text_IO;
procedure Test_Combinations is
generic
type Integers is range <>;
package Combinations is
type Combination is array (Positive range <>) of Integers;
procedure First (X : in out Combination);
procedure Next (X : in out Combination);
procedure Put ... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Translate the given AutoHotKey code snippet into PHP without altering its behavior. | MsgBox % Comb(1,1)
MsgBox % Comb(3,3)
MsgBox % Comb(3,2)
MsgBox % Comb(2,3)
MsgBox % Comb(5,3)
Comb(n,t) {
IfLess n,%t%, Return
Loop %t%
c%A_Index% := A_Index
i := t+1, c%i% := n+1
Loop {
Loop %t%
i := t+1-A_Index, c .= c%i% " "
c .= "`n"
j := 1, i := 2
Loop
... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Produce a language-to-language conversion: from AWK to PHP, same semantics. | BEGIN {
if (length(r) == 0) r = 3
if (length(n) == 0) n = 5
for (i=1; i <= r; i++) {
A[i] = i
if (i < r ) printf i OFS
else print i}
while (A[1] < n - r + 1) {
for (i = r; i >= 1; i--) {
if (A[i] < n - r + i) {
A[i]++
p = i
break}}
for (i... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Convert this BBC_Basic snippet to PHP and keep its semantics consistent. | INSTALL @lib$+"SORTLIB"
sort% = FN_sortinit(0,0)
M% = 3
N% = 5
C% = FNfact(N%)/(FNfact(M%)*FNfact(N%-M%))
DIM s$(C%)
PROCcomb(M%, N%, s$())
CALL sort%, s$(0)
FOR I% = 0 TO C%-1
PRINT s$(I%)
NEXT
END
DEF PROCcomb(... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Convert this Clojure block to PHP, preserving its control flow and logic. | (defn combinations
"If m=1, generate a nested list of numbers [0,n)
If m>1, for each x in [0,n), and for each list in the recursion on [x+1,n), cons the two"
[m n]
(letfn [(comb-aux
[m start]
(if (= 1 m)
(for [x (range start n)]
(list x))
(for [x (range start n)
xs (comb-aux (d... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Generate an equivalent PHP version of this Common_Lisp code. | (defun map-combinations (m n fn)
"Call fn with each m combination of the integers from 0 to n-1 as a list. The list may be destroyed after fn returns."
(let ((combination (make-list m)))
(labels ((up-from (low)
(let ((start (1- low)))
(lambda () (incf start))))
(mc (... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Write a version of this D function in PHP with identical behavior. | T[][] comb(T)(in T[] arr, in int k) pure nothrow {
if (k == 0) return [[]];
typeof(return) result;
foreach (immutable i, immutable x; arr)
foreach (suffix; arr[i + 1 .. $].comb(k - 1))
result ~= x ~ suffix;
return result;
}
void main() {
import std.stdio;
[0, 1, 2, 3].comb(2... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Port the following code from Elixir to PHP with equivalent syntax and logic. | defmodule RC do
def comb(0, _), do: [[]]
def comb(_, []), do: []
def comb(m, [h|t]) do
(for l <- comb(m-1, t), do: [h|l]) ++ comb(m, t)
end
end
{m, n} = {3, 5}
list = for i <- 1..n, do: i
Enum.each(RC.comb(m, list), fn x -> IO.inspect x end)
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Please provide an equivalent version of this Erlang code in PHP. | -module(comb).
-compile(export_all).
comb(0,_) ->
[[]];
comb(_,[]) ->
[];
comb(N,[H|T]) ->
[[H|L] || L <- comb(N-1,T)]++comb(N,T).
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Rewrite this program in PHP while keeping its functionality equivalent to the F# version. | let choose m n =
let rec fC prefix m from = seq {
let rec loopFor f = seq {
match f with
| [] -> ()
| x::xs ->
yield (x, fC [] (m-1) xs)
yield! loopFor xs
}
if m = 0 then yield prefix
else
for (i, s) in l... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Generate a PHP translation of this Factor snippet without changing its computational steps. | USING: math.combinatorics prettyprint ;
5 iota 3 all-combinations .
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Produce a language-to-language conversion: from Fortran to PHP, same semantics. | program Combinations
use iso_fortran_env
implicit none
type comb_result
integer, dimension(:), allocatable :: combs
end type comb_result
type(comb_result), dimension(:), pointer :: r
integer :: i, j
call comb(5, 3, r)
do i = 0, choose(5, 3) - 1
do j = 2, 0, -1
write(*, "(I4, ' ')", ... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Translate this program into PHP but keep the logic exactly as in Groovy. | def comb
comb = { m, list ->
def n = list.size()
m == 0 ?
[[]] :
(0..(n-m)).inject([]) { newlist, k ->
def sublist = (k+1 == n) ? [] : list[(k+1)..<n]
newlist += comb(m-1, sublist).collect { [list[k]] + it }
}
}
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Preserve the algorithm and functionality while converting the code from Haskell to PHP. | comb :: Int -> [a] -> [[a]]
comb 0 _ = [[]]
comb _ [] = []
comb m (x:xs) = map (x:) (comb (m-1) xs) ++ comb m xs
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Can you help me rewrite this code in PHP instead of Icon, keeping it the same logically? | procedure main()
return combinations(3,5,0)
end
procedure combinations(m,n,z)
/z := 1
write(m," combinations of ",n," integers starting from ",z)
every put(L := [], z to n - 1 + z by 1)
write("Intial list\n",list2string(L))
write("Combinations:")
every write(list2string(lcomb(L,m)))
... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Please provide an equivalent version of this J code in PHP. | require'stats'
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Translate this program into PHP but keep the logic exactly as in Julia. | using Combinatorics
n = 4
m = 3
for i in combinations(0:n,m)
println(i')
end
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Maintain the same structure and functionality when rewriting this code in PHP. | function map(f, a, ...) if a then return f(a), map(f, ...) end end
function incr(k) return function(a) return k > a and a or a+1 end end
function combs(m, n)
if m * n == 0 then return {{}} end
local ret, old = {}, combs(m-1, n-1)
for i = 1, n do
for k, v in ipairs(old) do ret[#ret+1] = {i, map(incr(i), unpack... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Produce a language-to-language conversion: from Mathematica to PHP, same semantics. | combinations[n_Integer, m_Integer]/;m>= 0:=Union[Sort /@ Permutations[Range[0, n - 1], {m}]]
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Write a version of this MATLAB function in PHP with identical behavior. | >> nchoosek((0:4),3)
ans =
0 1 2
0 1 3
0 1 4
0 2 3
0 2 4
0 3 4
1 2 3
1 2 4
1 3 4
2 3 4
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Preserve the algorithm and functionality while converting the code from Nim to PHP. | iterator comb(m, n: int): seq[int] =
var c = newSeq[int](n)
for i in 0 ..< n: c[i] = i
block outer:
while true:
yield c
var i = n - 1
inc c[i]
if c[i] <= m - 1: continue
while c[i] >= m - n + i:
dec i
if i < 0: break outer
inc c[i]
while i < n-1:
... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Write a version of this OCaml function in PHP with identical behavior. | let combinations m n =
let rec c = function
| (0,_) -> [[]]
| (_,0) -> []
| (p,q) -> List.append
(List.map (List.cons (n-q)) (c (p-1, q-1)))
(c (p , q-1))
in c (m , n)
let () =
let rec print_list = function
| [] -> print_newline ()
| hd :: tl -> print_int hd ; p... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Write the same algorithm in PHP as shown in this Pascal implementation. | Program Combinations;
const
m_max = 3;
n_max = 5;
var
combination: array [0..m_max] of integer;
procedure generate(m: integer);
var
n, i: integer;
begin
if (m > m_max) then
begin
for i := 1 to m_max do
write (combination[i], ' ');
writeln;
end
else
for n := 1 to n_max do
... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Write a version of this Perl function in PHP with identical behavior. | use ntheory qw/forcomb/;
forcomb { print "@_\n" } 5,3
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Rewrite this program in PHP while keeping its functionality equivalent to the PowerShell version. | $source = @'
using System;
using System.Collections.Generic;
namespace Powershell
{
public class CSharp
{
public static IEnumerable<int[]> Combinations(int m, int n)
{
int[] result = new int[m];
Stack<int> stack = new Stack<int>();... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Generate an equivalent PHP version of this R code. | print(combn(0:4, 3))
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Can you help me rewrite this code in PHP instead of Racket, keeping it the same logically? | (define sublists
(match-lambda**
[(0 _) '(())]
[(_ '()) '()]
[(m (cons x xs)) (append (map (curry cons x) (sublists (- m 1) xs))
(sublists m xs))]))
(define (combinations n m)
(sublists n (range m)))
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Write the same code in PHP as shown below in REXX. |
parse arg x y $ .
if x=='' | x=="," then x= 5
if y=='' | y=="," then y= 3; oy= y; y= abs(y)
if $=='' | $=="," then $='123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ',
"~!@#$%^&*()_+`{}|[]\:;<>?,./█┌┐└┘±≥≤≈∙"
... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Port the following code from Ruby to PHP with equivalent syntax and logic. | def comb(m, n)
(0...n).to_a.each_combination(m) { |p| puts(p) }
end
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Port the following code from Scala to PHP with equivalent syntax and logic. | implicit def toComb(m: Int) = new AnyRef {
def comb(n: Int) = recurse(m, List.range(0, n))
private def recurse(m: Int, l: List[Int]): List[List[Int]] = (m, l) match {
case (0, _) => List(Nil)
case (_, Nil) => Nil
case _ => (recurse(m - 1, l.tail) map (l.head :: _)) ::: recurse(m, l.tail)
}
}
| <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Produce a functionally identical PHP code for the snippet given in Swift. | func addCombo(prevCombo: [Int], var pivotList: [Int]) -> [([Int], [Int])] {
return (0..<pivotList.count)
.map {
_ -> ([Int], [Int]) in
(prevCombo + [pivotList.removeAtIndex(0)], pivotList)
}
}
func combosOfLength(n: Int, m: Int) -> [[Int]] {
return [Int](1...m)
.reduce([([Int](), [Int](0..... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Translate the given Tcl code snippet into PHP without altering its behavior. | proc comb {m n} {
set set [list]
for {set i 0} {$i < $n} {incr i} {lappend set $i}
return [combinations $set $m]
}
proc combinations {list size} {
if {$size == 0} {
return [list [list]]
}
set retval {}
for {set i 0} {($i + $size) <= [llength $list]} {incr i} {
set firstElemen... | <?php
$a=array(1,2,3,4,5);
$k=3;
$n=5;
$c=array_splice($a, $k);
$b=array_splice($a, 0, $k);
$j=$k-1;
print_r($b);
while (1) {
$m=array_search($b[$j]+1,$c);
if ($m!==false) {
$c[$m]-=1;
$b[$j]=$b[$j]+1;
print_r($b);
}
if ($b[$... |
Maintain the same structure and functionality when rewriting this code in Rust. | #include <stdio.h>
typedef unsigned long marker;
marker one = 1;
void comb(int pool, int need, marker chosen, int at)
{
if (pool < need + at) return;
if (!need) {
for (at = 0; at < pool; at++)
if (chosen & (one << at)) printf("%d ", at);
printf("\n");
return;
}
comb(pool, need - 1, chosen | (one ... | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... |
Generate an equivalent Rust version of this Java code. | import java.util.Collections;
import java.util.LinkedList;
public class Comb{
public static void main(String[] args){
System.out.println(comb(3,5));
}
public static String bitprint(int u){
String s= "";
for(int n= 0;u > 0;++n, u>>= 1)
... | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... |
Please provide an equivalent version of this Go code in Rust. | package main
import (
"fmt"
)
func main() {
comb(5, 3, func(c []int) {
fmt.Println(c)
})
}
func comb(n, m int, emit func([]int)) {
s := make([]int, m)
last := m - 1
var rc func(int, int)
rc = func(i, next int) {
for j := next; j < n; j++ {
s[i] = j
... | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... |
Rewrite the snippet below in Python so it works the same as the original Rust code. | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... | >>> from itertools import combinations
>>> list(combinations(range(5),3))
[(0, 1, 2), (0, 1, 3), (0, 1, 4), (0, 2, 3), (0, 2, 4), (0, 3, 4), (1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]
|
Ensure the translated VB code behaves exactly like the original Rust snippet. | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... | Option Explicit
Option Base 0
Private ArrResult
Sub test()
Main_Combine 5, 3
Dim j As Long, i As Long, temp As String
For i = LBound(ArrResult, 1) To UBound(ArrResult, 1)
temp = vbNullString
For j = LBound(ArrResult, 2) To UBound(ArrResult, 2)
temp = temp & " "... |
Translate this program into Rust but keep the logic exactly as in C#. | using System;
using System.Collections.Generic;
public class Program
{
public static IEnumerable<int[]> Combinations(int m, int n)
{
int[] result = new int[m];
Stack<int> stack = new Stack<int>();
stack.Push(0);
while (stack.Count > 0)
{
... | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... |
Write the same algorithm in Rust as shown in this C++ implementation. | #include <algorithm>
#include <iostream>
#include <string>
void comb(int N, int K)
{
std::string bitmask(K, 1);
bitmask.resize(N, 0);
do {
for (int i = 0; i < N; ++i)
{
if (bitmask[i]) std::cout << " " << i;
}
std::cout << std::endl;
} while (std::pr... | fn comb<T: std::fmt::Default>(arr: &[T], n: uint) {
let mut incl_arr: ~[bool] = std::vec::from_elem(arr.len(), false);
comb_intern(arr, n, incl_arr, 0);
}
fn comb_intern<T: std::fmt::Default>(arr: &[T], n: uint, incl_arr: &mut [bool], index: uint) {
if (arr.len() < n + index) { return; }
if (n == 0) {
let ... |
Rewrite this program in C# while keeping its functionality equivalent to the Ada version. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Change the programming language of this snippet from Ada to C# without modifying what it does. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Produce a functionally identical C code for the snippet given in Ada. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Please provide an equivalent version of this Ada code in C. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Please provide an equivalent version of this Ada code in C++. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Produce a language-to-language conversion: from Ada to C++, same semantics. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Produce a functionally identical Go code for the snippet given in Ada. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Write the same algorithm in Go as shown in this Ada implementation. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Preserve the algorithm and functionality while converting the code from Ada to Java. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Write a version of this Ada function in Java with identical behavior. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Change the programming language of this snippet from Ada to Python without modifying what it does. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Port the following code from Ada to Python with equivalent syntax and logic. | package binning is
type Nums_Array is array (Natural range <>) of Integer;
function Is_Sorted (Item : Nums_Array) return Boolean;
subtype Limits_Array is Nums_Array with
Dynamic_Predicate => Is_Sorted (Limits_Array);
function Bins (Limits : Limits_Array; Data : Nums_Array) return Nums_Array;
proc... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Port the provided AutoHotKey code into C while preserving the original functionality. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Preserve the algorithm and functionality while converting the code from AutoHotKey to C. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Produce a functionally identical C# code for the snippet given in AutoHotKey. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write the same algorithm in C# as shown in this AutoHotKey implementation. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write the same code in C++ as shown below in AutoHotKey. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Port the provided AutoHotKey code into C++ while preserving the original functionality. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Translate this program into Java but keep the logic exactly as in AutoHotKey. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Change the following AutoHotKey code into Java without altering its purpose. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Port the provided AutoHotKey code into Python while preserving the original functionality. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Ensure the translated Python code behaves exactly like the original AutoHotKey snippet. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Maintain the same structure and functionality when rewriting this code in Go. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Preserve the algorithm and functionality while converting the code from AutoHotKey to Go. | Bin_given_limits(limits, data){
bin := [], counter := 0
for i, val in data {
if (limits[limits.count()] <= val)
bin["∞", ++counter] := val
else for j, limit in limits
if (limits[j-1] <= val && val < limits[j])
bin[limit, ++counter] := val
}
... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Rewrite this program in C while keeping its functionality equivalent to the Factor version. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Change the following Factor code into C without altering its purpose. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Translate the given Factor code snippet into C# without altering its behavior. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Produce a functionally identical C# code for the snippet given in Factor. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write the same code in C++ as shown below in Factor. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Keep all operations the same but rewrite the snippet in C++. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Translate this program into Java but keep the logic exactly as in Factor. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Write a version of this Factor function in Java with identical behavior. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Translate this program into Python but keep the logic exactly as in Factor. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
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